@phdthesis{Greving2022,
  author    = {Greving, Carla Elisabeth},
  title     = {Improving Learning from Texts: Distributed Practice and Distributed Learning as Desirable Difficulty in Reading Single and Multiple Texts},
  doi       = {10.25972/OPUS-29685},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-296859},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Distributed practice is a well-known learning strategy whose beneficial effects on long-term learning are well proven by various experiments. In learning from texts, the benefits of distribution might even go beyond distributed practice, i.e. distribution of repeated materials. In realistic learning scenarios as for example school or university learning, the reader might read multiple texts that not repeat but complement each other. Therefore, distribution might also be implemented between multiple texts and benefit long-term learning in analogy to distributed practice. The assumption of beneficial effects of this distributed learning can be deduced from theories about text comprehension as the landscape model of reading (van den Broek et al., 1996) in combination with theories of desirable difficulties in general (R. A. Bjork \& Bjork, 1992) and distributed practice in particular (Benjamin \& Tullis, 2010). This dissertation aims to investigate (1) whether distributed learning benefits learning; (2) whether the amount of domain-specific prior knowledge moderates the effects of distribution, (3) whether distributed learning affects the learner's meta-cognitive judgments in analogy to distributed practice and (4) whether distributed practice is beneficial for seventh graders in learning from single text. In Experiment 1, seventh graders read two complementary texts either massed or distributed by a lag of one week between the texts. Learning outcomes were measured immediately after reading the second text and one week later. Judgements of learning were assessed immediately after each text. Experiment 2 replicated the paradigm of Experiment 1 while shortening the lag between the texts in the distributed condition to 15 min. In both experiments, an interaction effect between learning condition (distributed vs. massed) and retention interval (immediate vs. delayed) was found. In the distributed condition, the participants showed no decrease in performance between the two tests, whereas participants in the massed condition did. However, no beneficial effects were found in the delayed test for the distributed condition but even detrimental effects for the distributed condition in the immediate test. In Experiment 1, participants in the distributed condition perceived learning as less difficult but predicted lower success than the participants in the massed condition. Experiment 3 replicated the paradigm of Experiment 1 with university students in the laboratory. In the preregistered Experiment 4, an additional retention interval of two weeks was realized. In both experiments, the same interaction between learning condition and retention interval was found. In Experiment 3, the participants in the distributed condition again showed no decrease in performance between the two tests, whereas participants in the massed condition did. However, even at the longer retention interval in Experiment 4, no beneficial effects were found for the distributed condition. Domain-specific prior knowledge was positively associated with test performance in both experiments. In Experiment 4, the participants with low prior knowledge seemed to be impaired by distributed learning, whereas no difference was found for participants with medium or high prior knowledge. In the preregistered Experiment 5, seventh graders read a single text twice. The rereading took place either massed or distributed with one week. Immediately after rereading, judgements of learning were assessed. Learning outcomes were assessed four min after second reading or one week later. Participants in the distributed condition predicted lower learning success than participants in the massed condition. An interaction effect between learning condition and retention interval was found, but no advantage for the distributed condition. Participants with low domain-specific prior knowledge showed lower performance in short-answer questions in the distributed condition than in the massed condition. Overall, the results seem less encouraging regarding the effectiveness of distribution on learning from single and multiple texts. However, the experiments reported here can be perceived as first step in the realistic investigation of distribution in learning from texts.},
  subject      = {Textverstehen},
  language  = {en}
}
@phdthesis{Bangalore2022,
  author    = {Bangalore, Disha Mohan},
  title     = {Mechanistic studies of protein-DNA interactions by single molecule atomic force microscopy},
  doi       = {10.25972/OPUS-25204},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-252047},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Protein-DNA interactions are central to many biological processes and form the bedrock of gene transcription, DNA replication, and DNA repair processes. Many proteins recognize specific sequences in DNA- a restriction enzyme must only cut at the correct sequence and a transcription factor should bind at its consensus sequence. Some proteins are designed to bind to specific structural or chemical features in DNA, such as DNA repair proteins and some DNA modifying enzymes. Target-specific DNA binding proteins initially bind to non-specific DNA and then search for their target sites through different types of diffusion mechanisms. Atomic force microscopy (AFM) is a single-molecule technique that is specifically well-suited to resolve the distinct states of target-specific as well as nonspecific protein-DNA interactions that are vital for a deeper insight into the target site search mechanisms of these enzymes. In this thesis, protein systems involved in epigenetic regulation, base excision repair (BER), and transcription are investigated by single-molecule AFM analyses complemented by biochemical and biophysical experiments. The first chapter of this thesis narrates the establishment of a novel, user-unbiased MatLab-based tool for automated DNA bend angle measurements on AFM data. This tool has then been employed to study the initial lesion detection step of several DNA glycosylases. These results promoted a model describing the altered plasticities of DNA at the target lesions of DNA glycosylases as the fundamental mechanism for their enhanced efficiency of lesion detection. In the second chapter of this thesis, the novel automated tool has been further extended to provide protein binding positions on the DNA along with corresponding DNA bend angles and applied to the study of DNMT3A DNA methyltransferase. These AFM studies revealed preferential co-methylation at specific, defined distances between two CpG sites by the enzyme and when combined with biochemical analyses and structural modelling supported novel modes of CpG co-methylation by DNMT3A. In the third chapter of this thesis, the role of 8-oxo-guanine glycosylase (hOGG1) in Myc-mediated transcription initiation has been investigated. AFM analyses revealed that in the presence of oxidative damage in DNA, Myc is recruited to its target site (E-box) by hOGG1 through direct protein-protein interactions, specifically under oxidizing conditions. Intriguingly, oxidation of hOGG1 was further observed to result in dimerization of hOGG1, which may also play a role in the mechanism of transcription regulation by hOGG1 under oxidative stress.},
  subject      = {Transcription},
  language  = {en}
}
@phdthesis{Schloer2022,
  author    = {Schl{\"o}r, Daniel},
  title     = {Detecting Anomalies in Transaction Data},
  doi       = {10.25972/OPUS-29856},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-298569},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Detecting anomalies in transaction data is an important task with a high potential to avoid financial loss due to irregularities deliberately or inadvertently carried out, such as credit card fraud, occupational fraud in companies or ordering and accounting errors. With ongoing digitization of our world, data-driven approaches, including machine learning, can draw benefit from data with less manual effort and feature engineering. A large variety of machine learning-based anomaly detection methods approach this by learning a precise model of normality from which anomalies can be distinguished. Modeling normality in transactional data, however, requires to capture distributions and dependencies within the data precisely with special attention to numerical dependencies such as quantities, prices or amounts. To implicitly model numerical dependencies, Neural Arithmetic Logic Units have been proposed as neural architecture. In practice, however, these have stability and precision issues. Therefore, we first develop an improved neural network architecture, iNALU, which is designed to better model numerical dependencies as found in transaction data. We compare this architecture to the previous approach and show in several experiments of varying complexity that our novel architecture provides better precision and stability. We integrate this architecture into two generative neural network models adapted for transaction data and investigate how well normal behavior is modeled. We show that both architectures can successfully model normal transaction data, with our neural architecture improving generative performance for one model. Since categorical and numerical variables are common in transaction data, but many machine learning methods only process numerical representations, we explore different representation learning techniques to transform categorical transaction data into dense numerical vectors. We extend this approach by proposing an outlier-aware discretization, thus incorporating numerical attributes into the computation of categorical embeddings, and investigate latent spaces, as well as quantitative performance for anomaly detection. Next, we evaluate different scenarios for anomaly detection on transaction data. We extend our iNALU architecture to a neural layer that can model both numerical and non-numerical dependencies and evaluate it in a supervised and one-class setting. We investigate the stability and generalizability of our approach and show that it outperforms a variety of models in the balanced supervised setting and performs comparably in the one-class setting. Finally, we evaluate three approaches to using a generative model as an anomaly detector and compare the anomaly detection performance.},
  subject      = {Anomalieerkennung},
  language  = {en}
}
@phdthesis{Zoran2022,
  author    = {Zoran, Tamara},
  title     = {Multilevel analysis of the human immune response to \(Aspergillus\) \(fumigatus\) infection: Characteristic molecular signatures and individual risk factors},
  doi       = {10.25972/OPUS-29851},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-298512},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Although the field of fungal infections advanced tremendously, diagnosis of invasive pulmonary aspergillosis (IPA) in immunocompromised patients continues to be a challenge. Since IPA is a multifactorial disease, investigation from different aspects may provide new insights, helpful for improving IPA diagnosis. This work aimed to characterize the human immune response to Aspergillus fumigatus in a multilevel manner to identify characteristic molecular candidates and risk factors indicating IPA, which may in the future support already established diagnostic assays. We combined in vitro studies using myeloid cells infected with A. fumigatus and longitudinal case-control studies investigating patients post allogeneic stem cell transplantation (alloSCT) suffering from IPA and their match controls. Characteristic miRNA and mRNA signatures indicating A. fumigatus-infected monocyte-derived dendritic cells (moDCs) demonstrated the potential to differentiate between A. fumigatus and Escherichia coli infection. Transcriptome and protein profiling of alloSCT patients suffering from IPA and their matched controls revealed a distinctive IPA signature consisting of MMP1 induction and LGAL2 repression in combination with elevated IL-8 and caspase-3 levels. Both, in vitro and case-control studies, suggested cytokines, matrix-metallopeptidases and galectins are important in the immune response to A. fumigatus. Identified IPA characteristic molecular candidates are involved in numerous processes, thus a combination of these in a distinctive signature may increase the specificity. Finally, low monocyte counts, severe GvHD of the gut (grade ≥ 2) and etanercept administration were significantly associated with IPA diagnosis post alloSCT. Etanercept in monocyte-derived macrophages (MDM) infected with A. fumigatus downregulates genes involved in the NF-κB and TNF-α pathway and affects the secretion of CXCL10. Taken together, identified characteristic molecular signatures and risk factors indicating IPA may in the future in combination with established fungal biomarkers overcome current diagnostic challenges and help to establish tailored antifungal therapy. Therefore, further multicentre studies are encouraged to evaluate reported findings.},
  subject      = {Aspergillus fumigatus},
  language  = {en}
}
@phdthesis{Dakroub2022,
  author    = {Dakroub, Mohamad},
  title     = {Coarsened Exact Matching of Excisional to Plasma-Ablative Ab Interno Trabeculectomy},
  doi       = {10.25972/OPUS-29680},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-296805},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Abstract Purpose: To compare ab interno trabeculectomy by trabecular meshwork excision to plasma-mediated ablation in primary open-angle glaucoma. Methods: Retrospectively collected data of TrabEx+ (n=56) and Trabectome (n=99) were compared by coarsened exact matching to reduce confounding and matched based on baseline intraocular pressure and age. Primary outcomes were intraocular pressure and the number of glaucoma medications. Complications and the need for additional glaucoma surgery were assessed. Patients were followed for up to one year. Results: 53 TrabEx+ could be matched to Trabectome. Baseline intraocular pressure was 16.5 ± 4.6 mmHg in both; age was 73.7 ± 8.8 years and 71.5 ± 9.9 years in TrabEx+ and Trabectome, respectively. TrabEx+ were taking more medications than Trabectome (p<0.001). Intraocular pressure was reduced to 14.8±4.3 in TrabEx+ and 13.4±3.4 in Trabectome at 6 months, and to 14.9±6.0 (p=0.13) in TrabEx+ and to 14.1±3.8 mmHg (all p<0.05) in Trabectome at 12 months. Medications were reduced at both 6 and 12 months (p< 0.05). No differences were seen between both groups at 6 and 12 months. In TrabEx+, only one serious complication occurred, and two patients required further glaucoma surgery. Conclusion: Although both groups had a baseline intraocular pressure considered low for ab interno trabeculectomy, intraocular pressure and medications were reduced further at 6 and 12 months. Intraocular pressure reduction did not reach significance in TrabEx+ at 12 months. The inter-group comparison did not reveal any significant differences. Both had a low complication rate.},
  subject      = {Glaukom},
  language  = {en}
}
@phdthesis{Guentzel2022,
  author    = {G{\"u}ntzel, Paul Mathias},
  title     = {Bioinspired Ion Pairs Transforming Poorly Water-soluble Compounds into Protic Ionic Liquids and Deep Eutectic Solvents},
  doi       = {10.25972/OPUS-21980},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-219806},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Microbial, mammalian and plant cells produce and contain secondary metabolites, which typically are soluble in water to prevent cell damage by crystallization. The formation of ion pairs, e.g. with carboxylic acids or mineral acids, is a natural blueprint to keep basic metabolites in solution. It was aimed at showing whether the mostly large carboxylates form soluble protic ionic liquids (PILs) with basic natural products resulting in enhanced aqueous solubility. Furthermore, their supramolecular pattern in aqueous solution was studied. Thereby, naturally occurring carboxylic acids were identified being appropriate counterions for natural basic compounds and facilitate the formation of PILs with their beneficial characteristics, like improved dissolution rate and enhanced apparent solubility.},
  subject      = {Ionic Liquids},
  language  = {en}
}
@phdthesis{Shan2022,
  author    = {Shan, Junwen},
  title     = {Tailoring Hyaluronic Acid and Gelatin for Bioprinting},
  doi       = {10.25972/OPUS-29825},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-298256},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {In the field of biofabrication, biopolymer-based hydrogels are often used as bulk materials with defined structures or as bioinks. Despite their excellent biocompatibility, biopolymers need chemical modification to fulfill mechanical stability. In this thesis, the primary alcohol of hyaluronic acid was oxidized using TEMPO/TCC oxidation to generate aldehyde groups without ring-opening mechanism of glycol cleavage using sodium periodate. For crosslinking reaction of the aldehyde groups, adipic acid dihydrazide was used as bivalent crosslinker for Schiff Base chemistry. This hydrogel system with fast and reversible crosslinking mechanism was used successfully as bulk hydrogel for chondrogenic differentiation with human mesenchymal stem cells (hMSC). Gelatin was modified with pentenoic acid for crosslinking reaction via light controllable thiol-ene reaction, using thiolated 4-arm sPEG as multivalent crosslinker. Due to preservation of the thermo responsive property of gelatin by avoiding chain degradation during modification reaction, this gelatin-based hydrogel system was successfully processed via 3D printing with low polymer concentration. Good cell viability was achieved using hMSC in various concentrations after 3D bioprinting and chondrogenic differentiation showed promising results.},
  subject      = {Hydrogel},
  language  = {en}
}
@phdthesis{Burd2022,
  author    = {Burd, Paul Ray},
  title     = {Multiwavelength Probes of Physical Conditions in the Blazar Zone of AGN jets},
  doi       = {10.25972/OPUS-29700},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-297001},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Context. In active galaxies, matter is accreted onto super massive black holes (SMBH). This accretion process causes a region roughly the size of our solar system to outshine the entire host galaxy, forming an active galactic nucleus (AGN). In some of these active galaxies, highly relativistic particle jets are formed parallel to the rotation axis of the super massive black hole. A fraction of these sources is observed under a small inclination angle between the pointing direction of the jet and the observing line of sight. These sources are called blazars. Due to the small inclination angle and the highly relativistic speeds of the particles in the jet, beaming effects occur in the radiation of these particles. Blazars can be subdivided into the high luminosity flat spectrum radio quasars (FSRQs) and the low luminosity BL Lacertae objects (BL Lacs). As all AGN, blazars are broadband emitters and therefore observable from the longest wavelengths in the radio regime to the shortest wavelengths in the gamma-ray regime. In this thesis I will analyze blazars at these two extremes with respect to their parsec-scale properties in the radio and their time evolution properties in gamma-ray flux. Method. In the radio regime the technique of very long baseline interferometry (VLBI) can be used in order to spatially resolve the synchrotron radiation coming from those objects down to sub-parsec scales. This information can be used to observe the time evolution of the structure of such sources. This is done in large monitoring programs such as the MOJAVE (15 GHz) and the Boston University blazar monitoring program (43 GHz). In this thesis I utilize data of 28 sources from these monitoring programs spanning 10 years of observation from 2003 to 2013, resulting in over 1800 observed epochs, to study the brightness temperature and diameter gradients of these jets. I conduct a search for systematic geometry transitions in the radio jets. The synchrotron cooling time in the radio core of the jets is used to determine the magnetic field strength in the radio core. Considering the jet geometry, these magnetic field strengths are scaled to the ergosphere of the SMBH in order to obtain the distance of the radio core to the SMBH. In the gamma-regime these blazars cannot be spatially resolved. Due to this, it is hard to put strong constrains onto where the gamma-ray emitting region is. Blazars have shown to be variable at high energies on time scales down to minutes. The nature of this variability can be studied in order to put constrains on the particle acceleration mechanism and possibly the region and size of the gamma-ray emitting region. The variability of blazars in the energy range between 0.1 GeV and 1 GeV can for example be observed with the pair-conversion telescope on board the Fermi satellite. I use 10 years of data from the Fermi-LAT (LAT: Large Area Telescope) satellite in order to study the variability of a large sample of blazars (300-800, depending on the used significance filters for data points). I quantify this variability with the Ornstein-Uhlenbeck (OU) parameters and the power spectral density (PSD) slopes. The same procedure is applied to 20 light curves available for the radio sample. Results. The diameter evolution along the jet axis of the radio sources suggests, that FSRQs feature flatter gradients than BL Lacs. Fitting these gradients, it is revealed that BL Lacs are systematically better described by a simple single power law than FSRQs. I found 9 sources with a strongly constrained geometry transition. The sources are 0219+421, 0336-019, 0415+379, 0528+134, 0836+710, 1101+384, 1156+295, 1253-055 and 2200+420. In all of these sources, the geometry transition regions are further out in the jet than the Bondi sphere. The magnetic field strengths of BL Lacs is systematically larger than that of FSRQs. However the scaling of these fields suggest that the radio cores of BL Lac objects are closer to the SMBHs than the radio cores of FSRQs. Analyzing the variability of Fermi-LAT light curves yields consistent results for all samples. FSRQs show systematically steeper PSD slopes and feature OU parameters more favorable to strong variability than BL Lacs. The Fermi-LAT light curves of the sub-sample of radio jets, suggest an anticorrelation between the jet complexity from the radio observations and the OU-parameters as well as the PSD slopes from the gamma-ray observations. Conclusion. The flatter diameter gradients of FSRQs suggest that these sources are more collimated further down the jet than BL Lacs. The systematically better description of the diameter and brightness temperature gradient by a single power law of BL Lacs, suggest that FSRQs are more complex with respect to the diameter evolution along the jet and the surface brightness distribution than BL Lac objects. FSRQs often feature regions where recollimation can occur in distinct knots within the jets. For the sources where a geometry transition could be constrained, the Bondi radius, being systematically smaller than the position of the transition region along the jet axis, suggest that changing pressure gradients are not the sole cause for these systematic geometry transitions. Nevertheless they may be responsible for recollimation regions, found typically downstream the jet, beyond the Bondi radius and the transition zone. The difference in the distance of the radio cores between FSRQs and BL Lacs is most likely due to the combination of differences in SMBH masses and systematically smaller jet powers in BL Lacs. The variability in energy ranges above 100 MeV and above 1 GeV-regime suggest that many light curves of BL Lac objects are more likely to be white noise while the PSD slopes and the OU parameters of FSRQ gamma-ray light curves favor stronger variability on larger time scales with respect to the time binning of the analyzed light curve. Although the anticorrelation of the jet complexity acquired from the radio observations and the PSD slopes and OU parameters from the gamma-observations suggest that more complex sources favor OU parameters and PSD slopes resulting in more variability (not white noise) it is beyond the scope of this thesis to pinpoint whether this correlation results from causation. The question whether a complex jet causes more gamma-ray variability or more gamma-ray variability causes more complex jets cannot be answered at this point. Nevertheless the computed correlation measures suggest that this dependence is most likely not linear and therefore an indication that these effects might even interact.},
  language  = {en}
}
@phdthesis{Palmisano2022,
  author    = {Palmisano, Chiara},
  title     = {Supraspinal Locomotor Network Derangements: A Multimodal Approach},
  doi       = {10.25972/OPUS-26644},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-266442},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Parkinson's Disease (PD) constitutes a major healthcare burden in Europe. Accounting for aging alone, ~700,000 PD cases are predicted by 2040. This represents an approximately 56\% increase in the PD population between 2005 and 2040, with a consequent rise in annual disease-related medical costs. Gait and balance disorders are a major problem for patients with PD and their caregivers, mainly because to their correlation with falls. Falls occur as a result of a complex interaction of risk factors. Among them, Freezing of Gait (FoG) is a peculiar gait derangement characterized by a sudden and episodic inability to produce effective stepping, causing falls, mobility restrictions, poor quality of life, and increased morbidity and mortality. Between 50-70\% of PD patients have FoG and/or falls after a disease duration of 10 years, only partially and inconsistently improved by dopaminergic treatment and Deep Brain Stimulation (DBS). Treatment-induced worsening has been also observed under certain conditions. Effective treatments for gait disturbances in PD are lacking, probably because of the still poor understanding of the supraspinal locomotor network. In my thesis, I wanted to expand our knowledge of the supraspinal locomotor network and in particular the contribution of the basal ganglia to the control of locomotion. I believe this is a key step towards new preventive and personalized therapies for postural and gait problems in patients with PD and related disorders. In addition to patients with PD, my studies also included people affected by Progressive Supranuclear Palsy (PSP). PSP is a rare primary progressive parkinsonism characterized at a very early disease stage by poor balance control and frequent backwards falls, thus providing an in vivo model of dysfunctional locomotor control. I focused my attention on one of the most common motor transitions in daily living, the initiation of gait (GI). GI is an interesting motor task and a relevant paradigm to address balance and gait impairments in patients with movement disorders, as it is associated with FoG and high risk of falls. It combines a preparatory (i.e., the Anticipatory Postural Adjustments [APA]) and execution phase (the stepping) and allows the study of movement scaling and timing as an expression of muscular synergies, which follow precise and online feedback information processing and integration into established feedforward patterns of motor control. By applying a multimodal approach that combines biomechanical assessments and neuroimaging investigations, my work unveiled the fundamental contribution of striatal dopamine to GI in patients with PD. Results in patients with PSP further supported the fundamental role of the striatum in GI execution, revealing correlations between the metabolic intake of the left caudate nucleus with diverse GI measurements. This study also unveiled the interplay of additional brain areas in the motor control of GI, namely the Thalamus, the Supplementary Motor Area (SMA), and the Cingulate cortex. Involvement of cortical areas was also suggested by the analysis of GI in patients with PD and FoG. Indeed, I found major alterations in the preparatory phase of GI in these patients, possibly resulting from FoG-related deficits of the SMA. Alterations of the weight shifting preceding the stepping phase were also particularly important in PD patients with FoG, thus suggesting specific difficulties in the integration of somatosensory information at a cortical level. Of note, all patients with PD showed preserved movement timing of GI, possibly suggesting preserved and compensatory activity of the cerebellum. Postural abnormalities (i.e., increased trunk and thigh flexion) showed no relationship with GI, ruling out an adaptation of the motor pattern to the altered postural condition. In a group of PD patients implanted with DBS, I further explored the pathophysiological functioning of the locomotor network by analysing the timely activity of the Subthalamic Nucleus (STN) during static and dynamic balance control (i.e., standing and walking). For this study, I used novel DBS devices capable of delivering stimulation and simultaneously recording Local Field Potentials (LFP) of the implanted nucleus months and years after surgery. I showed a gait-related frequency shift in the STN activity of PD patients, possibly conveying cortical (feedforward) and cerebellar (feedback) information to mesencephalic locomotor areas. Based on this result, I identified for each patient a Maximally Informative Frequency (MIF) whose power changes can reliably classify standing and walking conditions. The MIF is a promising input signal for new DBS devices that can monitor LFP power modulations to timely adjust the stimulation delivery based on the ongoing motor task (e.g., gait) performed by the patient (adaptive DBS). Altogether my achievements allowed to define the role of different cortical and subcortical brain areas in locomotor control, paving the way for a better understanding of the pathophysiological dynamics of the supraspinal locomotor network and the development of tailored therapies for gait disturbances and falls prevention in PD and related disorders.},
  language  = {en}
}
@phdthesis{Ferretti2022,
  author    = {Ferretti, Pamela},
  title     = {\(Clostridioides\) \(difficile\) beyond the disease-centred perspective: Beneficial properties in healthy infants and over-diagnosis in diseased adults identified by species- and SNV-based metagenomic analysis},
  doi       = {10.25972/OPUS-25417},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-254170},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Clostridioides difficile is a bacterial species well known for its ability to cause C. difficile infection (also known as CDI). The investigation of the role of this species in the human gut has been so far dominated by a disease-centred perspective, focused on studying C. difficile in relation to its associated disease. In this context, the first aim of this thesis was to combine publicly available metagenomic data to analyse the microbial composition of stool samples from patients diagnosed with CDI, with a particular focus on identifying a CDI-specific microbial signature. However, similarly to many other bacterial species inhabiting the human gut, C. difficile association with disease is not valid in absolute terms, as C. difficile can be found also among healthy subjects. Further aims of this thesis were to 1) identify potential C. difficile reservoirs by screening a wide range of habitats, hosts, body sites and age groups, and characterize the biotic context associated with C. difficile presence, and 2) investigate C. difficile within-species diversity and its toxigenic potential across different age groups. The first part of the thesis starts with the description of the concepts and definitions used to identify bacterial species and within-species diversity, and then proceeds to provide an overview of the bacterial species at the centre of my investigation, C. difficile. The first Chapter includes a detailed description of the discovery, biology and physiology of this clinically relevant species, followed by an overview of the diagnostic protocols used in the clinical setting to diagnose CDI. The second part of the thesis describes the methodology used to investigate the questions mentioned above, while the third part presents the results of such investigative effort. I first show that C. difficile could be found in only a fraction of the CDI samples and that simultaneous colonization of multiple enteropathogenic species able to cause CDI-like clinical manifestations is more common than previously thought, raising concerns about CDI overdiagnosis. I then show that the CDIassociated gut microbiome is characterized by a specific microbial signature, distinguishable from the community composition associated with non-CDI diarrhea. Beyond the nosocomial and CDI context, I show that while rarely found in adults, C. difficile is a common member of the infant gut microbiome, where its presence is associated with multiple indicators typical of a desirable healthy microbiome development. In addition, I describe C. difficile extensive carriage among asymptomatic subjects, of all age groups and a potentially novel clade of C. difficile identified exclusively among infants. Finally, I discuss the limitations, challenges and future perspectives of my investigation.},
  language  = {en}
}
@phdthesis{Knoepper2022,
  author    = {Kn{\"o}pper, Konrad},
  title     = {Lymph node heterogeneity is imprinted by unconventional T cells that are organized in functional units},
  doi       = {10.25972/OPUS-29694},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-296949},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {The immune system has the function to defend organisms against a variety of pathogens and malignancies. To perform this task, different parts of the immune system work in concert and influence each other to balance and optimize its functional output upon activation. One aspect that determines this output and ultimately the outcome of the infection is the tissue context in which the activation takes place. As such, it has been shown that dendritic cells can relay information from the infection sites to draining lymph nodes. This way, the ensuing adaptive immune response that is initiated by dendritic cells, is optimized to the tissue context in which the infection needs to be cleared. Here, we set out to investigate whether unconventional T cells (UTC) could have a similar function in directing a site-specific immune response. Using flow cytometry, scRNA-sequencing and functional assays we demonstrated that UTC indeed drive a characteristic immune response in lymph nodes depending on the drained tissues. This function of UTC was directly connected to their lymphatic migration from tissues to draining lymph nodes reminiscent of dendritic cells. Besides these tissue-derived UTC that migrated via the lymph, we further identified circulatory UTC that migrated between lymph nodes via the blood. Functional characterization of UTC following bacterial infection in wt and single TCR-based lineage deficient mice that lacked subgroups of UTC further revealed that both tissue-derived and circulatory UTC were organized in functional units independent of their TCR-based lineage-affiliation (MAIT, NKT, gd T cells). Specific reporter mouse models revealed that UTC within the same functional unit were also located in the same microanatomical areas of lymph nodes, further supporting their shared function. Our data show that the numbers and function of UTC were compensated in single TCR-based lineage deficient mice that lacked subgroups of UTC. Taken together, our results characterize the transcriptional landscape and migrational behavior of UTC in different lymph nodes. UTC contribute to a functional heterogeneity of lymph nodes, which in turn guides optimized, site-specific immune responses. Additionally, we propose the classification of UTC within functional units independent of their TCR-based lineage. These results add significantly to our understanding of UTC biology and have direct clinical implications. We hope that our data will guide targeted vaccination approaches and cell-based therapies to optimize immune responses against pathogens and cancer.},
  language  = {en}
}
@article{SchlauersbachHanioRaschigetal.2022,
  author    = {Schlauersbach, Jonas and Hanio, Simon and Raschig, Martina and Lenz, Bettina and Scherf-Cavel, Oliver and Meinel, Lorenz},
  title     = {Bile and excipient interactions directing drug pharmacokinetics in rats},
  series = {European Journal of Pharmaceutics and Biopharmaceutics},
  volume    = {178},
  journal   = {European Journal of Pharmaceutics and Biopharmaceutics},
  edition   = {accepted version},
  doi       = {10.1016/j.ejpb.2022.07.016},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-296969},
  pages     = {65-68},
  year      = {2022},
  abstract  = {Bile solubilization plays a major role in the absorption of poorly water-soluble drugs. Excipients used in oral drug formulations impact bile-colloidal properties and their molecular interactions. Polymer-induced changes of bile colloids, e.g., by Eudragit E, reduced the flux of the bile interacting drug Perphenazine whereas bile non-interacting Metoprolol was not impacted. This study corroborates these in vitro findings in rats. Eudragit E significantly reduced systemic availability of Perphenazine but not Metoprolol compared to the oral administrations without polymer. This study confirms the necessity to carefully select polymers for bile interacting drugs whereas non-bile interacting drugs are more robust in terms of excipient choice for formulation. The perspective of bile interaction may introduce interesting biopharmaceutical leverage for better performing oral formulations of tomorrow.},
  language  = {en}
}
@article{RoemeisHerwegMueller2022,
  author    = {R{\"o}meis, Fabio and Herweg, Fabian and M{\"u}ller, Daniel},
  title     = {Salience bias and overwork},
  series = {Games},
  volume    = {13},
  journal   = {Games},
  number    = {1},
  issn      = {2073-4336},
  doi       = {10.3390/g13010015},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-255213},
  year      = {2022},
  abstract  = {In this study, we enrich a standard principal-agent model with hidden action by introducing salience-biased perception on the agent's side. The agent's misguided focus on salient payoffs, which leads the agent's and the principal's probability assessments to diverge, has two effects: First, the agent focuses too much on obtaining a bonus, which facilitates incentive provision. Second, the principal may exploit the diverging probability assessments to relax participation. We show that salience bias can reverse the nature of the inefficiency arising from moral hazard; i.e., the principal does not necessarily provide insufficient incentives that result in inefficiently low effort but instead may well provide excessive incentives that result in inefficiently high effort.},
  language  = {en}
}
@phdthesis{Ye2022,
  author    = {Ye, Mingyu},
  title     = {Immunotherapy with Vaccinia virus co-expressing tumor-associated antigens and mouse IL-2 cytokine in mice with mammary cancer},
  doi       = {10.25972/OPUS-25309},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-253095},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Interleukin 2 (IL-2) was the first cytokine applied for cancer treatment in human history. It has been approved as monotherapy for renal cell carcinoma and melanoma by the FDA and does mediate the regression of the tumors in patients. One of the possible mechanisms is that the administration of IL-2 led to T lymphocytes expansion, including CD4+ and CD8+ T cells. In addition, a recent study demonstrated that antigen-specific T cells could also be expanded through the induction of IL-2, which plays a crucial role in mediating tumor regression. However, despite the long-term and extensive use of IL-2 in the clinic, the ratio of patients who get a complete response was still low, and only about one-fifth of patients showed objective tumor regression. Therefore, the function of IL-2 in cancer treatment should continue to be optimized and investigated. A study by Franz O. Smith et al. has shown that the combination treatment of IL-2 and tumor-associated antigen vaccine has a strong trend to increased objective responses compared to patients with melanoma receiving IL-2 alone. Peptide vaccines are anti-cancer vaccines able to induce a powerful tumor antigenspecific immune response capable of eradicating the tumors. According to the type of antigens, peptide vaccines can be classified into two distinct categories: Tumor-associated antigens (TAA) vaccine and tumor-specific neoantigens (TSA) vaccine. Currently, Peptide vaccines are mainly investigated in phase I and phase II clinical trials of human cancer patients with various advanced cancers such as lung cancer, gastrointestinal tumors, and breast cancers. Vaccinia virus (VACV) is one of the safest viral vectors, which has been wildly used in cancer treatment and pathogen prevention. As an oncolytic vector, VACV can carry multiple large foreign genes, which enable the virus to introduce diagnostic and therapeutic agents without dramatically reducing the viral replication. Meanwhile, the recombinant vaccinia virus (rVACV) can be easily generated by homologous recombination. Here, we used the vaccinia virus as the therapeutic cancer vector, expressing mouse Interleukin 2 (IL-2) and tumor-associated antigens simultaneously to investigate the combined effect of anti-tumor immune response in the 4T1 mouse tumor model. As expected, the VACV driven mIL-2 expression remarkably increased both CD4+ and CD8+ populations in vivo, and the virus-expressed tumor-associated peptides successfully elicited theantigen-specific T cell response to inhibit the growth of tumors. Furthermore, the experiments with tumor-bearing animals showed that the mIL-2 plus tumor antigens expressing VACV vector gave a better anti-cancer response than the mIL-2 alone expressing vector. The combinations did significantly more inhibit tumor growth than mIL-2 treatment alone. Moreover, the results confirmed our previous unpublished data that the mIL-2 expression driven by synthetic early/late promoter in the Lister strain VACV could enhance the tumor regression in the 4T1 mouse model.},
  language  = {en}
}
@phdthesis{Ku2022,
  author    = {Ku, Hsing-Ping},
  title     = {Cadherin-13 Deficiency Impacts Murine Serotonergic Circuitries and Cognitive Functions},
  doi       = {10.25972/OPUS-25144},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-251446},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Cadherin-13 (CDH13) is a member of the cadherin superfamily that lacks the typical transmembrane domain for classical cadherins and is instead attached to the cell membrane with a GPI-anchor. Over the years, numerous genome-wide association (GWA) studies have identified CDH13 as a risk factor for neurodevelopmental disorders, including attention- deficit/hyperactivity disorder (ADHD) and autism spectrum disorder. Further evidence using cultured cells and animal models has shown that CDH13 plays important roles in cell migration, neurite outgrowth and synaptic function of the central nervous system. Research in our laboratory demonstrated that the CDH13 deficiency resulted in increased cell density of serotonergic neurons of the dorsal raphe (DR) in developing and mature mouse brains as well as serotonergic hyperinnervation in the developing prefrontal cortex, one of the target areas of DR serotonergic neurons. In this study, the role of CDH13 was further explored using constitutive and serotonergic system-specific CDH13-deficient mouse models. Within the adult DR structure, the increased density of DR serotonergic neurons was found to be topographically restricted to the ventral and lateral-wing, but not dorsal, clusters of DR. Furthermore, serotonergic hyperinnervation was observed in the target region of DR serotonergic projection neurons in the lateral wings. Unexpectedly, these alterations were not observed in postnatal day 14 brains of CDH13-deficient mice. Additionally, behavioral assessments revealed cognitive deficits in terms of compromised learning and memory ability as well as impulsive-like behaviors in CDH13-deficient mice, indicating that the absence of CDH13 in the serotonergic system alone was sufficient to impact cognitive functions and behavioral competency. Lastly, in order to examine the organization of serotonergic circuitries systematically and to tackle limitations of conventional immunofluorescence, a pipeline of the whole-mount immunostaining in combination with the iDISCO+ based rapid tissue clearing techniques was established. This will facilitate future research of brain neurotransmitter systems at circuitry and/or whole-brain levels and provide an excellent alternative for visualizing detailed and comprehensive information about a biological system in its original space. In summary, this study provided new evidence of CDH13's contribution to proper brain development and cognitive function in mice, thereby offering insights into further advancement of therapeutic approaches for neurodevelopmental disorders.},
  language  = {en}
}
@phdthesis{Kuhlemann2022,
  author    = {Kuhlemann, Alexander},
  title     = {Bioorthogonal labeling of neuronal proteins using super-resolution fluorescence microscopy},
  doi       = {10.25972/OPUS-24373},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-243731},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {The synaptic cleft is of central importance for synaptic transmission, neuronal plasticity and memory and thus well studied in neurobiology. To target proteins of interest with high specificity and strong signal to noise conventional immunohistochemistry relies on the use of fluorescently labeled antibodies. However, investigations on synaptic receptors remain challenging due to the defined size of the synaptic cleft of ~20 nm between opposing pre- and postsynaptic membranes. At this limited space, antibodies bear unwanted side effects such as crosslinking, accessibility issues and a considerable linkage error between fluorophore and target of ~10 nm. With recent single molecule localization microscopy (SMLM) methods enabling localization precisions of a few nanometers, the demand for labeling approaches with minimal linkage error and reliable recognition of the target molecules rises. Within the scope of this work, different labeling techniques for super-resolution fluorescence microscopy were utilized allowing site-specific labeling of a single amino acid in synaptic proteins like kainate receptors (KARs), transmembrane α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor regulatory proteins (TARPs), γ-aminobutyric acid type A receptors (GABA-ARs) and neuroligin 2 (NL2). The method exploits the incorporation of unnatural amino acids (uAAs) in the protein of interest using genetic code expansion (GCE) via amber suppression technology and subsequent labeling with tetrazine functionalized fluorophores. Implementing this technique, hard-to-target proteins such as KARs, TARPs and GABA-ARs could be labeled successfully, which could only be imaged insufficiently with conventional labeling approaches. Furthermore, functional studies involving electrophysiological characterization, as well as FRAP and FRET experiments validated that incorporation of uAAs maintains the native character of the targeted proteins. Next, the method was transferred into primary hippocampal neurons and in combination with super-resolution microscopy it was possible to resolve the nanoscale organization of γ2 and γ8 TARPs. Cluster analysis of dSTORM localization data verified synaptic accumulation of γ2, while γ8 was homogenously distributed along the neuron. Additionally, GCE and bioorthogonal labeling allowed visualization of clickable GABA-A receptors located at postsynaptic compartments in dissociated hippocampal neurons. Moreover, saturation experiments and FRET imaging of clickable multimeric receptors revealed successful binding of multiple tetrazine functionalized fluorophores to uAA-modified dimeric GABA-AR α2 subunits in close proximity (~5 nm). Further utilization of tetrazine-dyes via super-resolution microscopy methods such as dSTORM and click-ExM will provide insights to subunit arrangement in receptors in the future. This work investigated the nanoscale organization of synaptic proteins with minimal linkage error enabling new insights into receptor assembly, trafficking and recycling, as well as protein-protein interactions at synapses. Ultimately, bioorthogonal labeling can help to understand pathologies such as the limbic encephalitis associated with GABA-AR autoantibodies and is already in application for cancer therapies.},
  subject      = {microscopy},
  language  = {en}
}
@phdthesis{Hochheimer2022,
  author    = {Hochheimer, Vanessa Christine},
  title     = {Of cells and enzymes: How dermal fibroblasts can impact pain in Fabry Disease and Why looking at the 3D-structure of α-Galactosidase A may be worthwhile for clinical management of Fabry patients},
  doi       = {10.25972/OPUS-29660},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-296607},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Fabry Disease (FD) is a genetic lysosomal storage disorder based on mutations in the gene encoding α-Galactosidase A (α-GalA) leading to accumulation of globotriaosylceramide (Gb3). Missense mutations induce an amino acid exchange (AAE) in the α-GalA. Pain is a predominant symptom in FD and the pathophysiology is unclear. Skin punch biopsies were obtained from 40 adult FD patients and ten healthy controls and dermal fibroblast cultures were generated for cell culture experiments to investigate Gb3 load, gene and protein expression patterns and ion channel activity. The 3D-structure of α-GalA was downloaded into Pymol Graphics System and the AAE was depicted and located in order to investigate the correlation between the AAE location type in the α-GalA and the clinical FD phenotype. FD dermal fibroblasts showed high Gb3 load depending on treatment interval and expressed Kca1.1 channels. Activity was reduced in FD cells at baseline, but increased over-proportionately upon Gb3-cleavage by enzyme replacement therapy. Gene and protein expression of Kca1.1 was increased in FD cells. FD dermal fibroblasts showed higher gene expression of Notch1 and several cytokines. Further, it was shown that three different AAE location types can be differentiated: mutations in the active site ('active site'), those buried in the core of α-GalA ('buried') and those at another location, mostly on the protein surface ('other'). FD patients carrying active site or buried mutations showed a severe clinical phenotype with multi-organ manifestation and early disease onset. Patients with other mutations were less severely affected with oligo-organ manifestation sparing the nervous system and later disease onset. These results show that dermal fibroblasts may be involved in FD-associated pain and that stratification of FD patients carrying missense mutations by AAE location type may be an advantageous parameter that can help in the management of FD patients.},
  subject      = {Fabry-Krankheit},
  language  = {en}
}
@phdthesis{Hoeser2022,
  author    = {H{\"o}ser, Thorsten},
  title     = {Global Dynamics of the Offshore Wind Energy Sector Derived from Earth Observation Data - Deep Learning Based Object Detection Optimised with Synthetic Training Data for Offshore Wind Energy Infrastructure Extraction from Sentinel-1 Imagery},
  doi       = {10.25972/OPUS-29285},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-292857},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {The expansion of renewable energies is being driven by the gradual phaseout of fossil fuels in order to reduce greenhouse gas emissions, the steadily increasing demand for energy and, more recently, by geopolitical events. The offshore wind energy sector is on the verge of a massive expansion in Europe, the United Kingdom, China, but also in the USA, South Korea and Vietnam. Accordingly, the largest marine infrastructure projects to date will be carried out in the upcoming decades, with thousands of offshore wind turbines being installed. In order to accompany this process globally and to provide a database for research, development and monitoring, this dissertation presents a deep learning-based approach for object detection that enables the derivation of spatiotemporal developments of offshore wind energy infrastructures from satellite-based radar data of the Sentinel-1 mission. For training the deep learning models for offshore wind energy infrastructure detection, an approach is presented that makes it possible to synthetically generate remote sensing data and the necessary annotation for the supervised deep learning process. In this synthetic data generation process, expert knowledge about image content and sensor acquisition techniques is made machine-readable. Finally, extensive and highly variable training data sets are generated from this knowledge representation, with which deep learning models can learn to detect objects in real-world satellite data. The method for the synthetic generation of training data based on expert knowledge offers great potential for deep learning in Earth observation. Applications of deep learning based methods can be developed and tested faster with this procedure. Furthermore, the synthetically generated and thus controllable training data offer the possibility to interpret the learning process of the optimised deep learning models. The method developed in this dissertation to create synthetic remote sensing training data was finally used to optimise deep learning models for the global detection of offshore wind energy infrastructure. For this purpose, images of the entire global coastline from ESA's Sentinel-1 radar mission were evaluated. The derived data set includes over 9,941 objects, which distinguish offshore wind turbines, transformer stations and offshore wind energy infrastructures under construction from each other. In addition to this spatial detection, a quarterly time series from July 2016 to June 2021 was derived for all objects. This time series reveals the start of construction, the construction phase and the time of completion with subsequent operation for each object. The derived offshore wind energy infrastructure data set provides the basis for an analysis of the development of the offshore wind energy sector from July 2016 to June 2021. For this analysis, further attributes of the detected offshore wind turbines were derived. The most important of these are the height and installed capacity of a turbine. The turbine height was calculated by a radargrammetric analysis of the previously detected Sentinel-1 signal and then used to statistically model the installed capacity. The results show that in June 2021, 8,885 offshore wind turbines with a total capacity of 40.6 GW were installed worldwide. The largest installed capacities are in the EU (15.2 GW), China (14.1 GW) and the United Kingdom (10.7 GW). From July 2016 to June 2021, China has expanded 13 GW of offshore wind energy infrastructure. The EU has installed 8 GW and the UK 5.8 GW of offshore wind energy infrastructure in the same period. This temporal analysis shows that China was the main driver of the expansion of the offshore wind energy sector in the period under investigation. The derived data set for the description of the offshore wind energy sector was made publicly available. It is thus freely accessible to all decision-makers and stakeholders involved in the development of offshore wind energy projects. Especially in the scientific context, it serves as a database that enables a wide range of investigations. Research questions regarding offshore wind turbines themselves as well as the influence of the expansion in the coming decades can be investigated. This supports the imminent and urgently needed expansion of offshore wind energy in order to promote sustainable expansion in addition to the expansion targets that have been set.},
  language  = {en}
}
@incollection{Chetvertak2022,
  author    = {Chetvertak, Іevgeniia},
  title     = {Cyber aggression in the stance of communicative approach},
  series = {Studies in Modern English},
  booktitle = {Studies in Modern English},
  editor    = {Lazebna, Nataliia and Kumar, Dinesh},
  publisher = {W{\"u}rzburg University Press},
  address   = {W{\"u}rzburg},
  doi       = {10.25972/WUP-978-3-95826-199-0-1},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-296152},
  publisher      = {W{\"u}rzburg University Press},
  pages     = {1-9},
  year      = {2022},
  abstract  = {The article deals with the notion of internet aggression (cyber aggression). It considers the mentioned term from both psychological and communicative approaches. The paper also provides detailed analyses of the cyber aggression in political discourse. The provided ex-amples are taken from the speeches of politicians during the time of Covid pandemic. The author also identifies several types of cyber aggression.},
  language  = {en}
}
@incollection{Kumar2022,
  author    = {Kumar, Dinesh},
  title     = {A Brief Historical and Present Perspective of ELT in India},
  series = {Studies in Modern English},
  booktitle = {Studies in Modern English},
  editor    = {Lazebna, Nataliia and Kumar, Dinesh},
  publisher = {W{\"u}rzburg University Press},
  address   = {W{\"u}rzburg},
  doi       = {10.25972/WUP-978-3-95826-199-0-11},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-296434},
  publisher      = {W{\"u}rzburg University Press},
  pages     = {11-17},
  year      = {2022},
  abstract  = {English language is being taught as a second foreign language in India. For most of the learners in India, English still a foreign language or target language. The study of this language is important to fulfill different kinds of academic and professional requirements. Still, there is a big gulf between demand and supply for which the failure of the system is largely responsible as its main emphasis on to adherence to the foreign curriculum. The government tries to impose this curriculum on English teachers, but, in fact, the curriculum is outdated.},
  language  = {en}
}