Miracle-dz/UniFAR-FTUs huggingface dataset:
Lamina Propria After Rotavirus Infection Plasmablast Recruitment to the Intestinal + CCL25/TECK and CCL28/MEC in IgA Redundant Role of Chemokines

Rotaviruses (RV) are the most important cause of severe childhood diarrheal disease. In suckling mice, infection with RV results in an increase in total and virus-speciﬁc IgA (cid:1) plasmablasts in the small intestinal lamina propria (LP) soon after infection, providing a unique opportunity to study the mechanism of IgA (cid:1) cell recruitment into the small intestine. In this study, we show that the increase in total and RV-speciﬁc IgA (cid:1) plasmablasts in the LP after RV infection can be blocked by the combined administration of Abs against chemokines CCL25 and CCL28, but not by the administration of either Ab alone. RV infection in CCR9 knockout mice still induced a signiﬁcant accumulation of IgA (cid:1) plasmablasts in the LP, which was blocked by the addition of anti-CCL28 Ab, conﬁrming the synergistic role of CCL25 and CCL28. The absence of IgA (cid:1) plasmablast accumulation in LP following combined anti-chemokine treatment was not due to changes in proliferation or apoptosis in these cells. We also found that coadministration of anti-CCL25 and anti-CCL28 Abs with the addition of anti- (cid:2) 4 Ab did not further inhibit IgA (cid:1) cell accumulation in the LP and that the CCL25 receptor, CCR9, was coexpressed with the intestinal homing receptor (cid:2) 4 (cid:3) 7 on IgA (cid:1) plasmablasts. Finally, we showed that RV infection was associated with an increase in both CCL25 and CCL28 in the small intestine. Hence, our ﬁndings and SP were isolated. BrdU staining was performed using the BrdU Flow Kit (BD Pharmingen) following the manufacturer’s instruc-tions. To compare the levels of lymphocyte apoptosis after anti-chemokine Ab treatment, LP and MLN lymphocytes from anti-chemokine or isotype control Ab-treated mice at 7 DPI were collected and stained using the annexin V-PE apoptosis detection kit I (BD Pharmingen) following the manufacturer’s instructions.
Vulnerability Analysis of Built Cultural Heritage: A Multidisciplinary Approach for Studying the Palladio’s Tempietto Barbaro

ABSTRACT Vulnerability analysis and assessment of built cultural heritage requires a multidisciplinary approach for effectively dealing with both the “knowledge path,” which represents the first fundamental step of the procedure, and the subsequent structural analysis and the potential risk mitigation intervention design. In this article, this approach is presented with reference to the Tempietto Barbaro, designed by Andrea Palladio, which was selected as a particularly significant case study able to evidence the mandatory role of all the involved competences. Particular attention was paid to the contribution of historical analyses and critical survey processes, which demonstrate to be necessary steps to identify potential vulnerabilities, understand actual mechanical behavior, and to address the realization of the effective structural models, also in view of designing adequate retrofit solutions.
Immunologic Consequences of Francisella tularensis Live Vaccine Strain Infection: Role of the Innate Immune Response in Infection and Immunity1

Francisella tularensis (Ft), a Gram-negative intracellular bacterium, is the etiologic agent of tularemia. Although attenuated for humans, i.p. infection of mice with <10 Ft live vaccine strain (LVS) organisms causes lethal infection that resembles human tularemia, whereas the LD50 for an intradermal infection is >106 organisms. To examine the immunological consequences of Ft LVS infection on the innate immune response, the inflammatory responses of mice infected i.p. or intradermally were compared. Mice infected i.p. displayed greater bacterial burden and increased expression of proinflammatory genes, particularly in the liver. In contrast to most LPS, highly purified Ft LVS LPS (10 μg/ml) was found to be only minimally stimulatory in primary murine macrophages and in HEK293T cells transiently transfected with TLR4/MD-2/CD14, whereas live Ft LVS bacteria were highly stimulatory for macrophages and TLR2-expressing HEK293T cells. Despite the poor stimulatory activity of Ft LVS LPS in vitro, administration of 100 ng of Ft LVS LPS 2 days before Ft LVS challenge severely limited both bacterial burden and cytokine mRNA and protein expression in the absence of detectable Ab at the time of bacterial challenge, yet these mice developed a robust IgM Ab response within 2 days of infection and survived. These data suggest that prior administration of Ft LVS LPS protects the host by diminishing bacterial burden and blunting an otherwise overwhelming inflammatory response, while priming the adaptive immune response for development of a strong Ab response.
Promoting Gender Inclusivity in General Music (part 2): Considerations for Using Technology

This article is the second in a series intended to assist general music teachers in creating gender-inclusive music environments. Technology can be used in general music classrooms to support learning and to extend musical creativity. Previous authors have shared ideas that can help general music teachers use technology in ways that promote more gender-inclusive environments by helping all learners effectively use technology. The purpose of this article is to help general music teachers identify and incorporate strategies for using technology in their classrooms that support students of all genders. Specific strategies, such as purposeful role models, student groupings, and family support, as well as resources are included. Through thoughtful and purposeful integration informed by relevant literature and research, technology can be used to develop children’s musicianship.
Power enhancement of partially shaded PV arrays through shade dispersion using magic square configuration

This paper proposes a new static reconfiguration technique to configure the modules in the Photo-Voltaic (PV) array so as to enhance the generated power from the array under partial shading conditions. In this approach, the physical location of the modules in a Total Cross Tied (TCT) connected PV array is arranged based on the Magic Square (MS) pattern so as to distribute the shading effect over the entire array. Further, this arrangement of modules is done without altering the electrical connection of the modules in the array. The MS arrangement reduces the effect of shading of modules in any row thereby enhancing the generated PV power. The MS pattern based PV array configuration has only one Global Maximum Power Point at the right most peak in the PV curve as compared to the conventional TCT configuration under partially shaded conditions. Thus, the proposed MS scheme evidently avoids the need for complex Maximum-Power-Point-Tracking algorithms. The performance of the system is investigated for differe.
Higher order statistical analysis of nanoscale resolution images of unstained tissue sections for cancer detection

Current procedure in cancer diagnosis is based on the analysis of stained tissue sections by a trained pathologist. However, the classical H&E staining process accounts for most of the cost involved in the proce- dure and in special cases, or in case of discrepancies in the interpretation, further analysis are required. The Spatial Light Interference Microscopy, a new optical microscopy technique combining microscopy and interferome- try, allows very fast acquisition of quantitative phase images of cells with nanometric spatial accuracy. This preliminary study shows that pattern ex- traction methods could be eciently applied for detecting tumor areas from nanoscale resolution images of unstained tissue sections. Further develop- ment of processing methods of such images may be of help of pathologists to not only save costs but also contribute to diagnostic accuracy.
Academic Engagement with Wadden Sea Stakeholders: A Review of Past Foci and Possible Futures

The Wadden Sea became a UNESCO World Heritage Site in 2009 owing to its geographical and ecological importance. Given its status and its global recognition, academic understanding of, and engagement with, a diverse set of stakeholders is crucial to the sustainability of the Wadden Sea and the wildlife that inhabit its transnational boundaries. As such, this paper reviews with whom, how, and to what extent the academy has engaged with Wadden Sea stakeholders. This study finds that stakeholder groups (whom, with vested interests in the sea, might be expected to be present) are missing from academic publications focused on stakeholders in the Wadden Sea. Moreover, existing studies tend to focus on singular, categorized stakeholder ‘groups’, and lack transboundary integration, as well as reference to UN Sustainability Goal 14 – a key target for environmental protection. In sum, the review provides (1) an analysis of academic work that engages Wadden Sea stakeholders to assist future researchers undertaking work in this global ecologically significant area, and (2) a discussion of where future academic work might be developed.
Infra-Low Frequency Neurofeedback in the Treatment of Patients With Chronic Eating Disorder and Comorbid Post-Traumatic Stress Disorder

The treatment of patients suffering from an eating disorder and a comorbid post-traumatic stress disorder is challenging and often leads to poor outcomes. In a randomized control trial, we evaluated to what extent adding Infra-Low Frequency (ILF) neurofeedback could improve symptom reduction within an established inpatient treatment program. In a randomized two-group design, patients suffering from an eating disorder (anorexia nervosa, bulimia nervosa, or binge eating disorder) and comorbid post-traumatic stress disorder (N = 36) were examined while attending an inpatient treatment program in a clinic for psychosomatic disorders. The intervention group received ILF neurofeedback in addition to regular therapy, while the control group received “media-supported relaxation” as a placebo intervention. At the beginning and at the end of their treatment, all participants completed the Eating Disorder Examination-Questionnaire (EDE-Q) as a measure of eating disorder psychopathology and the Impact of Event Scale-Revised (IES-R) in order to assess symptoms of post-traumatic stress. Changes in EDE-Q and IES-R scores over time served as primary outcomes as well as an increase in body mass index in underweight patients. Secondary outcomes were the perceived benefit of the received intervention, global assessment of psychological treatment success, and complications in the course of treatment. Statistical evaluation was carried out with repeated measurement analysis of variance for the primary outcomes and with t-tests and Fisher’s exact test for the secondary outcomes. Our results indicate better treatment outcomes in the ILF neurofeedback group with regard to trauma-associated avoidance as well as with regard to restraint eating and increase in body weight. Furthermore, patients who had received ILF neurofeedback rated the intervention they received and, in tendency, their overall treatment more positively and they experienced fewer complications in the course of treatment. ILF neurofeedback is very well accepted by patients and seems to provide a relevant additional benefit in some aspects of symptom reduction. Findings confirm the feasibility of embedding this treatment approach in an inpatient setting and support the case for a larger study for greater statistical power. Clinical Trial Registration: “Infra-Low Frequency Neurofeedback training in the treatment of patients with eating disorder and comorbid post-traumatic stress disorder”; German Clinical Trials Registry (https://www.drks.de; Identifier: DRKS00027826).
Associations of Plasma Fatty Acid Patterns During Pregnancy With Gestational Diabetes Mellitus

Background Limited studies have explored the difference of fatty acid profile between women with and without gestational diabetes mellitus (GDM), and the results were inconsistent. Individual fatty acids tend to be interrelated because of the shared food sources and metabolic pathways. Thus, whether fatty acid patters during pregnancy were related to GDM odds needs further exploration. Objective To identify plasma fatty acid patters during pregnancy and their associations with odds of GDM. Methods A hospital-based case-control study including 217 GDM cases and 217 matched controls was carried out in urban Wuhan, China from August 2012 to April 2015. All the participants were enrolled at the time of GDM screening and provided fasting blood samples with informed consent. We measured plasma concentrations of fatty acids by gas chromatography–mass spectrometry, and derived potential fatty acid patterns (FAPs) through principal components analysis. Conditional logistic regression and restricted cubic spline model were used to evaluate the associations between individual fatty acids or FAPs and odds of GDM. Results Twenty individual fatty acids with relative concentrations ≥0.05% were included in the analyses. Compared with control group, GDM group had significantly higher concentrations of total fatty acids, 24:1n-9, and relatively lower levels of 14:0, 15:0, 17:0, 18:0, 24:0, 16:1n-7, 20:1n-9,18:3n-6, 20:2n-6, 18:3n-3, 20:3n-3, 22:5n-3. Two novel patterns of fatty acids were identified to be associated with lower odds of GDM: (1) relatively higher odd-chain fatty acids, 14:0, 18:0, 18:3n-3, 20:2n-6, 20:3n-6 and lower 24:1n-9 and 18:2n-6 [adjusted odds ratio (OR) (95% confidence interval) (CI) for quartiles 4 vs. 1: 0.42 (0.23–0.76), P-trend = 0.002], (2) relatively higher n-3 polyunsaturated fatty acids, 24:0, 18:3n-6 and lower 16:0 and 20:4n-6 [adjusted OR (95% CI) for quartiles 4 vs. 1: 0.48 (0.26–0.90), P-trend = 0.018]. Conclusion Our findings suggested that two novel FAPs were inversely associated with GDM odds. The combination of circulating fatty acids could be a more significant marker of GDM development than individual fatty acids or their subgroups.
Elite Athletes’ Perfectionistic Striving vs. Concerns as Opposing Predictors of Self-Handicapping With the Mediating Role of Attributional Style

Self-handicapping is not only present among amateurs, but also even among the most elite athletes. The vast majority of the research investigates self-handicapping in academic context among students with mediocre performance. However, scientific examinations of predictors among top performers in the field of sports is terra incognita. Among the predictors of self-handicapping, perfectionistic strivings, and concerns as well as attributional style, were demonstrated as relevant ones among samples in prior studies. However, these links have never been examined among elite athletes who can be characterized by various aspects of perfectionism. In this study, the link between self-handicapping and perfectionistic striving and concerns was examined both directly and indirectly through the potential mediating effect of attributional style among elite athletes (N = 111) where more than half of the participants was competing at international level such as European and World Championships or Olympic Games. As it was expected, a positive relationship was found between perfectionistic concerns and self-handicapping, whereas the findings suggested a negative relationship between perfectionistic striving and self-handicapping. These connections were partially mediated by attributions for negative sport-related events. It appears that explanations for negative events are crucial in connection with protecting oneself through self-handicapping even among top athletes. The present work is a first step of a broader program in which the goal is reducing self-handicapping of top athletes through attributional retraining intervention.
Serum Levels of MicroRNA-371a-3p (M371) Can Predict Absence or Presence of Vital Disease in Residual Masses After Chemotherapy of Metastatic Seminoma

Background Radiological evaluation of postchemotherapy residual masses of metastatic seminoma is characterized by poor diagnostic accuracy. Serum levels of microRNA-371a-3p (M371) involve high specificity and sensitivity for the primary diagnosis of seminoma. We evaluated if M371 levels can indicate the presence of vital disease in postchemotherapy residual masses in patients with metastatic seminoma. Methods Twenty-three seminoma patients (median age 52 years) with residual masses had posttreatment measurements of serum M371 levels (group A), fourteen of whom had measurements also beforehand. The posttreatment results were compared with the clinical outcome during follow-up. Eleven patients with complete remission after treatment of metastatic seminoma (group B) and 33 men with non-malignant testicular diseases (group C) served as controls. M371 serum levels were measured by quantitative real-time PCR using miR-30b-5p as endogenous control. An evaluation was performed with descriptive statistical methods. Results Twenty-two patients of Group A had uneventful follow-up so far, twenty-one of whom had M371 level <5, and one other had a mildly elevated level below relative quantity (RQ) = 10. One patient with a level of RQ = 26.2 rapidly progressed. The median posttreatment M371 level of the non-progressing patients of group A is not significantly different from the median level of the control group with complete remission (B). Before treatment, the median M371 levels in groups A and B were 507.6 and 143.9, respectively. In both groups, significant drops in M371 levels resulted from treatment. Conclusion Normal M371 serum levels at the time of completion of treatment of metastatic seminoma indicate the absence of vital seminoma in residual masses, while elevated levels >RQ = 10 predict the presence of disease. The optimal timing of M371 measurement after chemotherapy and the appropriate cutoff level still need to be determined. Based on the present results, measuring serum M371 levels involves the potential of a novel tool for assessing postchemotherapy residual masses of metastatic seminoma.
Assessing health misinformation in online content

With regard to the issue of access to health-related content circulating online, especially by laypersons, this article aims at illustrating the effectiveness of using features of a different nature in combination with machine learning and deep learning classifiers for the task of health misinformation detection. To this end, and for evaluation purposes, publicly available datasets consisting of health-related information in the form of both Web pages and social media content are considered.
On the Security of Thread Networks: Experimentation with OpenThread-Enabled Devices

The Thread networking protocol is expected to be utilized by a plethora of smart home devices as one of the IP-based networking technologies that will be supported by the Matter standard that is being developed by members of the Connectivity Standards Alliance. Thread has been developed by the Thread Group as an application-agnostic protocol that builds on top of the IEEE 802.15. 4 standard to enable IPv6-based low-power wireless mesh networking. However, unlike other IEEE 802.15. 4-based protocols like Zigbee, the security of Thread networks has been relatively less analyzed in the literature. Given that commercial Thread devices are expected to interact with the physical world, vulnerabilities in their communication protocols could impact the physical security of end users. In this work we analyze the security of Thread networks by repurposing hardware and software tools that have been used for the security analysis of Zigbee networks. We used development boards that were flashed with OpenThread binaries to gain insight into the nature of Thread traffic and to study their susceptibility to a set of energy depletion attacks and online password guessing attacks. Lastly, we are publicly releasing our software enhancements as well as our dataset of captured Thread packets.
Correlation-based regularization for fast and energy-efficient spiking neural networks

A spiking neural network (SNN) inherently requires multiple time steps to produce a stable output. In addition, the energy consumption in a neuromorphic hardware, on which a trained SNN is deployed and executed, is proportional to the number of generated spikes in SNN execution. Therefore, it is crucial to reduce the number of time steps and the number of generated spikes as many as possible for fast and energy-efficient execution. This paper proposes a correlation-based regularizer, which is incorporated into a loss function, to address the above-mentioned issues. It aims to minimize the redundancies between the features at each layer for structural sparsity that is beneficial to energy-efficient and in the end fast execution. We evaluated the proposed regularizer over two different kinds of models - a vanilla model and one with a rate-based regularizer that is widely used for energy-efficient execution and observed that it generated a smaller number of spikes while holding down the accuracy degradation compared to existing approaches.
A new scrum and CMMI level 2 compatible model for small software firms in order to enhance their software quality

Advancement of the technological sector is far more progressive than ever before in Bangladesh. This means there is an influx of software companies requiring the adaptation of a structured process management framework (i.e CMMI) to attain successful projects and to enhance software quality. Small software companies' tendency to adopt lightweight frameworks like Scrum makes them unlikely to fulfill CMMI process standards. Our research was conducted to understand which of the CMMI Specific Practices can be mapped to the Scrum practices and if a model can be proposed incorporating both of the Practices and lastly how the proposed model can be fitted to the scrum lifecycle. In order to facilitate Software process improvement (SPI) data from developers and managers was collected from multiple companies that helped us construct a model between the two. The proposed model suggests practices and artifacts for SPI that would help smaller software firms ensure better software quality. In addition a modified scrum lifecycle diagram will guide stakeholders in applying the proposed model.
PAcT: Detecting and Classifying Privacy Behavior of Android Applications

Interpreting and describing mobile applications' privacy behaviors to ensure creating consistent and accurate privacy notices is a challenging task for developers. Traditional approaches to creating privacy notices are based on predefined templates or questionnaires and do not rely on any traceable behaviors in code which may result in inconsistent and inaccurate notices. In this paper, we present an automated approach to detect privacy behaviors in code of Android applications. We develop Privacy Action Taxonomy (PAcT), which includes labels for Practice (i.e. how applications use personal information) and Purpose (i.e. why). We annotate ~5,200 code segments based on the labels and create a multi-label multi-class dataset with ~14,000 labels. We develop and train deep learning models to classify code segments. We achieve the highest F-1 scores across all label types of 79.62% and 79.02% for Practice and Purpose.