Miracle-dz/UniFAR-FTUs huggingface dataset:
A Method for Measuring Emittance in $e^+ e^-$ Colliding Beams

We have developed techniques that allow simultaneous measurement of the spatial size of the luminous colliding beam region and the angular spread of beams in collision using e+e- --> mu+mu- events. These are demonstrated at the CLEO interaction point of the Cornell Electron-Positron Storage Ring, CESR, taking advantage of the small and well understood resolution of the CLEO tracking system. These measurements are then used to extract the horizontal beta, horizontal emittance and the vertical emittance and search for dynamic effects at CESR.
A Literature Review of Ozanimod Therapy in Inflammatory Bowel Disease: From Concept to Practical Application

Abstract Inflammatory bowel disease (IBD), namely Ulcerative Colitis (UC) and Crohn’s Disease (CD), is believed to be due to a dysregulation of the innate immune response. The complexity of the immune cascade offers both a challenge and an opportunity to researchers seeking out new treatments for IBD, as various points along the inflammatory pathways can be targeted for interruption. Sphinogosine-1-phosphate (S1P) is a phospholipid molecule with wide ranging biological effects caused by binding five known S1P receptor subtypes. Ozanimod is a small molecule drug that selectively targets S1P receptors 1 and 5 which play a crucial role in lymphocyte trafficking. In clinical trials for both UC and CD, it has been shown to induce a reversible lymphopenia which correlates with response to therapy. Reported adverse events include infection, anemia, and elevated liver enzymes. Rare instances of bradycardia, heart block, and macular edema were also reported. As a newly available therapy approved for UC patients, we aim to summarize ozanimod’s novel mechanism of action, pre-clinical and clinical trial results, and to give context to this newly available drug that gastroenterologists may utilize in their treatment algorithm.
Are Source Code Metrics "Good Enough" in Predicting Security Vulnerabilities?

Modern systems produce and handle a large volume of sensitive enterprise data. Therefore, security vulnerabilities in the software systems must be identified and resolved early to prevent security breaches and failures. Predicting security vulnerabilities is an alternative to identifying them as developers write code. In this study, we studied the ability of several machine learning algorithms to predict security vulnerabilities. We created two datasets containing security vulnerability information from two open-source systems: (1) Apache Tomcat (versions 4.x and five 2.5.x minor versions). We also computed source code metrics for these versions of both systems. We examined four classifiers, including Naive Bayes, Decision Tree, XGBoost Classifier, and Logistic Regression, to show their ability to predict security vulnerabilities. Moreover, an ensemble learner was introduced using a stacking classifier to see whether the prediction performance could be improved. We performed cross-version and cross-project predictions to assess the effectiveness of the best-performing model. Our results showed that the XGBoost classifier performed best compared to other learners, i.e., with an average accuracy of 97% in both datasets. The stacking classifier performed with an average accuracy of 92% in Struts and 71% in Tomcat. Our best-performing model—XGBoost—could predict with an average accuracy of 87% in Tomcat and 99% in Struts in a cross-version setup.
QCD thermodynamics of effective models with an improved Polyakov-loop potential

We analyse the role of the quark backreaction on the gauge-field dynamics and its impact on the Polyakov-loop potential. Based on our analysis we construct an improved Polyakov-loop potential that can be used in future model studies. In the present work, we employe this improved potential in a study of a 2+1 flavour Polyakov-quark-meson model and show that the temperature dependence of the order parameters and thermodynamics is closer to full QCD. We discuss the results for QCD thermodynamics and outline briefly the dependence of our results on the critical temperature and the parametrisation of the Polyakov-loop potential as well as the mass of the sigma-meson.
Experimental and theoretical radiative decay rates for highly excited ruthenium atomic levels and the solar abundance of ruthenium

The solar photospheric abundance of ruthenium is revised on the basis of a new set of oscillator strengths derived for Ru I transitions with wavelengths in the spectral range 2250–4710 A. The new abundance value (in the usual logarithmic scale where the solar hydrogen abundance is equal to 12.00), ARu = 1.72 ± 0.10, is in agreement with the most recent meteoritic result, ARu = 1.76 ± 0.03. The accuracy of the transition probabilities, obtained using a relativistic Hartree–Fock model including core-polarization effects, has been assessed by comparing the theoretical lifetimes with previous experimental results. A comparison is also made with new measurements performed in this work by the time-resolved laser-induced fluorescence spectroscopy for 10 highly excited odd-parity levels of Ru I.
The Challenges and Supports for Career Development of Persons with Disabilities during the COVID-19 Pandemic

: Persons with Disabilities (PwD) are one of the groups most affected by the COVID-19 pandemic. The implementation of social and physical distancing made workers with disabilities have to face many challenges at work. This affects the career development of PwD. This study used a case study method to identify various challenges and support needed in the career development of PwD during the COVID-19 pandemic. Participants were obtained by purposive sampling method. Data collection was done by semi-structured interviews. Data analysis was carried out with a 2-step coding process. The results of this study showed the challenges for career development of PwD were their personal characteristics (e.g., type and severity of their disability), disempowering family, limited access to education and vocational training, insufficient health care and facilities, discrimination, and negative stigma at the workplace. The support needed for career development of PwD were opportunities to access higher education and vocational training, supportive family, co-workers, and workplace environment. The results of this study offer an evaluation to stakeholders thus that they can provide adequate accessibility for PwD at work.
Pd–Au Nanostructured Electrocatalysts with Tunable Compositions for Formic Acid Oxidation

The green transition requires new strategies to develop active and stable nanomaterials for energy conversion. We describe, for the first time, the preparation of Pd-Au bimetallic nanocatalysts using a surfactant-free electrodeposition method in a deep eutectic solvent (DES) and test their electrocatalytic performance for the formic acid oxidation reaction (FAOR). We use choline chloride plus urea DES to tune the composition of Pd and Au in the bimetallic nanostructures, as well as their morphology and active surface area. We measure the increase in the electrochemically active surface area (ECSA) of the prepared Pd-Au bimetallic surfaces by Cu underpotential deposition (UPD). Our results indicate a surface area increase of 5 to 12-fold compared to Pd and PdAu extended polycrystalline electrodes. We observe that the higher activity of Pd-Au nanostructures is principally due to its increased active area. Our results also reveal that Pd-Au nanostructures with ca. 50% of Pd and Au display the best activity and stability in relation to the Pd mass loading proving the synergy between Pd and Au in the bimetallic catalyst. We highlight that an in-depth analysis of the ECSA, as well as surface and electronic structure effects in bimetallic nanostructures, are crucial aspects for the rationalization of their catalytic properties. surface composition influence the electrocatalytic properties of Pd-Au nanocatalysts. An in-depth analysis of all these aspects is key to understand the origin of the enhanced electrocatalysis of bimetallic nanocatalysts towards the FAOR. Understanding and tuning these effects will be essential for the design of active and stable electrocatalysts for the FAOR in fuel cells. Our work also opens the door to the use of DES as non-toxic solvents to fabricate multimetallic nanostructures that combine a high active area with an enhanced electrocatalytic performance.
Self-Assessment of Health Professionals’ Cultural Competence: Knowledge, Skills, and Mental Health Concepts for Optimal Health Care

Current research often refers to cultural competence to improve health care delivery. In addition, it focuses on the cultural uniqueness of each health service user for optimal personalized care. This study aimed to collect self-assessment data from health professionals regarding their cultural competence and to identify their development needs. A mixed methods design was adopted using the Cultural Competence Self-assessment Checklist of the Central Vancouver Island Multicultural Society. This was translated into Greek, validated, and then shared with health professionals in Cyprus. Subsequently, a semi-structured interview guide was designed and utilized. This was structured in exactly the same question categories as the questionnaire. Data collection took place between October 2021 and May 2022, and convenience sampling was used to recruit 499 health scientists in Cyprus. The sample comprised doctors, nurses, psychologists, midwives, social workers, and physiotherapists. Subsequently, 62 interviews were conducted with participants from the same specialties. The results showed that (compared to other health professionals) nurses and psychologists are more sensitive to issues of cultural competence. It would appear that the more socially oriented sciences had better-prepared healthcare staff to manage diversity in context. However, there is a gap between knowledge and skills when comparing doctors to nurses; they seem to be more skilled and willing to intervene actively in cases of racist behavior or problem-solving. In conclusion, participants identified the importance of their cultural competence; they also realized the importance of optimal planning of personalized health care. There is a significant need for continuous and specialized cultural competence training for all health professions.
A Survey of Recursive Combinatorics

4 Ramsey’s Theorem 12 4.1 Definitions and Classical Version . 13 4.2 Recursive Analogue is False . 15 4.3 How Hard is it to Tell if a Homogeneous set is Recursive? 16 4.4 Recursion-Theoretic Modifications . 19 4.5 Connections to Proof Theory . 23 4.6 Miscellaneous . 27 4.6. 1 2-colorings of [N] . 27 ∗Supported in part by NSF grants CCR-84-05079, CCR-88-03641, and CCR-90-20079.
What Do We Know When We Know a Compulsive Buying Person? Looking at Now and Ahead

Over the last few decades, research has seamlessly confirmed the marked multicausal nature of compulsive buying, since variables from different realms (e.g., family, social, and contextual domains) have demonstrated their explanatory capacity. However, it has been personality variables that have, to a greater extent, aroused the interest of researchers, leading to what is now a cumbersome richness of personal constructs of different nature that seem to require some arrangement under integrative frameworks. The proposal by McAdams under the suggestive title of “What do we know when we know a person? ” is, in this regard, especially attractive and thought-provoking. McAdams approaches us to the person as a whole by establishing three differentiated levels (dispositional traits, personal concerns or characteristics adaptations, life story), and it will be precisely these levels that will become the structure we will use to address the state of the art on compulsive buyers. The location of the multiple personal variables analyzed at each of the levels with a common grammar will allow us to identify what it is known, as well as what remains to be done in each space. Lastly, suggestions for the future are given, with particular emphasis on advancing our understanding of the person from each of the academic vantage points but also the suitability of designing studies that integrate and/or build bridges between dispositional traits, characteristic adaptations, and life narratives. The hope is that research in the coming years satisfactorily integrates the different visions of the person to achieve a more comprehensive, nuanced portrait of a person with compulsive buying problems.
Percutaneous Coronary Intervention with Everolimus-Eluting Versus Sirolimus-Eluting Stents in Diabetic Patients Presented with Acute Coronary Syndromes: A Short-term Comparative Clinical Outcome Study

Background: The use of drug-eluting stents (DES) resulted in innovative progress in the field of interventional Cardiology. Nowadays, the most common indication for coronary stenting is acute coronary syndromes (ACS) due to the better clinical consequences of PCI compared with conservative management. However, in diabetic patients, there is a large debate in the literature regarding the selection of an optimal drug-eluting stent. Aim: This work aimed to compare short term clinical outcome post-percutaneous Coronary intervention with Everolimus-eluting stents (EES) versus Sirolimus-eluting stents (SES) in diabetic patients presented with ACS. Methods: The present study was carried out on 120 diabetic patients presented with acute coronary syndromes (Non-STEMI, Unstable angina) and divided into 2 groups; group 1 included patients treated with PCI with Everolimus eluting stenting (EES), and group 2 included patients treated with PCI with Sirolimus-eluting stenting (SES). Results: After 6 months of follow-up, the percentages of treated patients who were complicated with sudden cardiac death, congestive heart failure, and planned further PCI were 5%, 6.7%, and 6.7%, respectively in group 1, and were 3.3%, 8.3%, and 10% respectively in group 2. While no acute coronary syndrome or repeated coronary angiography was reported in both groups. In the current study, there was no statistically significant difference between the EES group and the SES group in diabetic patients either during implantation or during 6 months follow up (P-value >0.05). Conclusion: In this current study, both EES and SES are comparable to each other regarding the treatment of ACS in diabetic patients.
Transdermal Maltose-Based Microneedle Patch as Adjunct to Enhance Topical Anesthetic before Intravenous Cannulation of Pediatric Thalassemic Patients Receiving Blood Transfusion: A Randomized Controlled Trial Protocol

Intravenous cannulation is experientially traumatic to children. To minimize this, EMLA® is applied on the would-be-cannulated area before IV cannula insertion. However, the time to achieve its maximum efficacy may be affected due to incomplete cutaneous absorption and the duration of application. The latter may be a limiting factor in a busy healthcare facility. The usage of dissolvable maltose microneedles may circumvent this problem by introducing micropores that will facilitate EMLA® absorption. A randomized phase II cross-over trial will be conducted to compare the Visual Analogue Scale (VAS) pain scores and skin conductance algesimeter index between 4 different interventions (1 fingertip unit (FTU) of EMLA® with microneedle patch for 30 min before cannulation; 0.5 FTU of EMLA® with microneedle patch for 30 min; 1 FTU of EMLA® with microneedle for 15 min; 1 FTU of EMLA® with sham patch for 30 min). A total of 26 pediatric patients with thalassemia aged between 6 and 18 years old and requiring blood transfusion will be recruited in this trial. During the visits, the VAS scores and skin conductance algesimeter index at venous cannulation will be obtained using the VAS rulers and PainMonitor™ machine, respectively. The trial will commence in August 2021 and is anticipated to end by August 2022.
The benefits and challenges of shared leadership in sport for development and peace collaboratives

ABSTRACT Inadequate leadership is a common reason for the failure of multi-organizational collaboratives, yet limited attention has been given to explore the role of shared leadership in these types of collaborations. The purpose of this study was therefore to explore the perceived benefits and challenges of shared leadership in two multi-organizational collaboratives in Sport for Development and Peace (SDP). Semi-structured interviews (n = 30) with members along with publicly available documents were analyzed. Perceived benefits of shared leadership included (a) collective impact, (b) collective learning, (c) network capacity, (d) cohesion and (e) shared responsibilities. At the same time, challenges were centered around (a) challenging leadership dynamics, (b) varying levels of information sharing, (c) lack of understanding of shared leadership and (d) inconsistent quality of engagement. This study contributes to sport management literature by focusing on practitioners’ lived experiences of the positive outcomes and possible barriers to shared leadership in the context of multi-organizational collaboratives. HIGHLIGHTS Empirical research of outcomes of shared leadership in sport for development and peace. Benefits of shared leadership include improved collective impact, collective learning, network capacity, cohesion and shared responsibilities. Challenges of shared leadership were centered around challenging leadership dynamics, varying levels of information sharing, lack of understanding of shared leadership and inconsistent quality of engagement. The role of shared leadership to improve sustainability of SDP partnerships. Implications for better leveraging collaborative leadership approach in the context of multi-organizational SDP collaboratives.
Accelerating 3D Convolutional Neural Network with Channel Bottleneck Module for EEG-Based Emotion Recognition

Deep learning-based emotion recognition using EEG has received increasing attention in recent years. The existing studies on emotion recognition show great variability in their employed methods including the choice of deep learning approaches and the type of input features. Although deep learning models for EEG-based emotion recognition can deliver superior accuracy, it comes at the cost of high computational complexity. Here, we propose a novel 3D convolutional neural network with a channel bottleneck module (CNN-BN) model for EEG-based emotion recognition, with the aim of accelerating the CNN computation without a significant loss in classification accuracy. To this end, we constructed a 3D spatiotemporal representation of EEG signals as the input of our proposed model. Our CNN-BN model extracts spatiotemporal EEG features, which effectively utilize the spatial and temporal information in EEG. We evaluated the performance of the CNN-BN model in the valence and arousal classification tasks. Our proposed CNN-BN model achieved an average accuracy of 99.1% and 99.5% for valence and arousal, respectively, on the DEAP dataset, while significantly reducing the number of parameters by 93.08% and FLOPs by 94.94%. The CNN-BN model with fewer parameters based on 3D EEG spatiotemporal representation outperforms the state-of-the-art models. Our proposed CNN-BN model with a better parameter efficiency has excellent potential for accelerating CNN-based emotion recognition without losing classification performance.
The Entero-Mammary Pathway and Perinatal Transmission of Gut Microbiota and SARS-CoV-2

COVID-19 is a severe respiratory disease threatening pregnant women, which increases the possibility of adverse pregnancy outcomes. Several recent studies have demonstrated the ability of SARS-CoV-2 to infect the mother enterocytes, disturbing the gut microbiota diversity. The aim of this study was to characterize the entero-mammary microbiota of women in the presence of the virus during delivery. Fifty mother–neonate pairs were included in a transversal descriptive work. The presence of SARS-CoV-2 RNA was detected in nasopharyngeal, mother rectal swabs (MRS) and neonate rectal swabs (NRS) collected from the pairs, and human colostrum (HC) samples collected from mothers. The microbiota diversity was characterized by high-throughput DNA sequencing of V3-16S rRNA gene libraries prepared from HC, MRS, and NRS. Data were analyzed with QIIME2 and R. Our results indicate that several bacterial taxa are highly abundant in MRS positive for SARS-CoV-2 RNA. These bacteria mostly belong to the Firmicutes phylum; for instance, the families Bifidobacteriaceae, Oscillospiraceae, and Microbacteriaceae have been previously associated with anti-inflammatory effects, which could explain the capability of women to overcome the infection. All samples, both positive and negative for SARS-CoV-2, featured a high abundance of the Firmicutes phylum. Further data analysis showed that nearly 20% of the bacterial diversity found in HC was also identified in MRS. Spearman correlation analysis highlighted that some genera of the Proteobacteria and Actinobacteria phyla were negatively correlated with MRS and NRS (p < 0.005). This study provides new insights into the gut microbiota of pregnant women and their potential association with a better outcome during SARS-CoV-2 infection.
Clinical Evaluation of Exercise-Induced Physiological Changes in Military Working Dogs (MWDs) Resulting from the Use or Non-Use of Cooling Vests during Training in Moderately Hot Environments

Simple Summary A cooling vest is a clothing article especially designed to reduce body temperature and make exposure to heat in hot climates or environments more bearable. Such cooling vests can be of significant help to military working dogs (MWDs) in high-temperature regions. Dogs performing scent-detection tasks could benefit from the use of a cooling vest, if proven useful, by reducing the risk of heat stroke and olfactory fatigue. As different models of cooling vests are available for dogs, our aim was to compare wearing nothing versus two different models of cooling vests in a homogenous dog population during physical exercise (moderate-intensity running). We observed that the evaporative cooling waistcoat performed best. In conclusion, the waistcoats improve the cooling of the dogs during and after exercise, and differences between the two garment models exist. Abstract Nose work with military working dogs (MWDs) in warmer-than-usual areas has led us to look for new tools to reduce both heat stress and the risk of heat stroke. One of the different strategies to manage heat stress is the use of cooling vests, such as those used in humans. The aim was to assess three cooling conditions (using two different cooling vests during exercise and the non-use of such garments) by measuring core body temperature, systemic blood pressure and pulse rate before and after the exercise (moment: four measurement times) in military dogs of the I Military Police Battalion (in Valencia, Spain). All dogs were evaluated under all three conditions during the three days of the study. Significant differences were observed between condition, moment, and the interaction of these two factors, in relation to core body temperature and pulse rate. Therefore, the use of an evaporative cooling vest may further be useful as a routine thermal control and conditioning measure in MWDs.