Miracle-dz/UniFAR-FTUs huggingface dataset:
Exact Results in Supersymmetric Quantum Field Theory

This thesis is devoted to a number of exact computations in various supersymmetric quantum field theories and their applications in studying nonperturbative properties of the theories. In the first part, we study four-dimensional N = 2 supersymmetric theory on the ⌦-background. We show that the partition function of U(N) gauge theory with 2N fundamental hypermultiplets on the self-dual ⌦-background simplifies at special points of the parameter space, and is related to the partition function of two-dimensional Yang-Mills theory on S2. We also consider the insertion of a Wilson loop operator in two-dimensional YangMills theory, and find the corresponding operator in the four-dimensional theory. In the second part, we analyze the dynamics of a general two-dimensional N = (2, 2) gauged linear sigma model with semichiral superfields. By computing the elliptic genera, we study the vacuum structure of the model. The result coincides with the model without the semichiral superfields. We also show that the low energy e↵ective twisted superpotential contributed by semichiral superfields vanishes, whether we turn on twisted masses or not. In the third part, we discuss the supersymmetric localization of the fourdimensional N =2o↵-shell gauged supergravity in the background of the AdS4 neutral topological black hole, which is the gravity dual of the ABJM theory defined on the boundary S1 ⇥ H2. We compute the large-N expansion of the supergravity partition function. The result gives the black hole entropy with the logarithmic correction, which matches the previous result of the entanglement entropy of the ABJM theory up to some stringy e↵ects. Our result is consistent with the previous on-shell one-loop computation of the logarithmic correction to black hole entropy, and it provides a concrete example for the identification of the entanglement entropy of the boundary conformal field theory and the bulk black hole entropy beyond the leading order given by the classical Bekenstein-Hawking formula, which consequently tests the AdS/CFT correspondence at the subleading order.
Green Human Resources Management and its Relationship to Green Marketing Among the Employees of the University of Baghdad: Field Research at the University of Baghdad, College of Administration and Economics

This study aimed to demonstrate the impact of green human resources management on green marketing through a prospective study of the College of Administration and Economics / University of Baghdad affiliated with the Ministry of Higher Education and Scientific Research, as the research problem was crystallized by asking a number of questions, the most important of which (Is there a correlation and impact between the dimensions of green human resource management and green marketing? ). This study aims to determine the impact of recruitment, selection, training, green development, evaluation, rewards, compensation, and green empowerment on green marketing. Nevertheless, the objective of this study was symbolized in identifying the extent to which green human resources management activities are applied in the college under investigation. Furthermore, data were collected using a survey based on the questionnaire, which consisted of (31) questions distributed to (66) individuals working in the upper, middle, and executive administrative levels in the researched college. Then, the hypotheses were tested based on the data collected from the answers of the research sample, and one of the most prominent findings of the study is the existence of a correlation and influence between the dimensions of green human resource management and green marketing. The results also showed the college's great interest in green human resource management and green marketing. Nevertheless, based on these results, the researcher presented the most important recommendations to enhance green human resource management in the college under study, and the most important of them is that the college administration must pay greater attention to green human resource management by working to adopt and pay attention to activities related to green human resource management and green marketing.
A boost for performance or a sense of corporate social responsibility? A bibliometric analysis on sustainability reporting and firm performance research (2000-2022)

Abstract Recently, there has been a growing concern regarding the impact of businesses on the environment and society and the pursuit of profit maximization. The current scenario has led to increased attention toward ESG disclosure and sustainability reporting and their probable impact on the performance of firms. Consequently, ESG disclosure and sustainability reporting have emerged as captivating subjects within corporate governance literature. Through a comprehensive review, this study aims to explore the current trends and patterns in sustainability reporting and ESG disclosure and their effects on firm performance. A dataset spanning 23 years (2000 to 2022) was compiled to conduct this analysis, comprising 656 scholarly publications obtained from the Web of Science. Utilizing the VOSViewer software, various bibliometric analyses were performed, including co-authorship, citation, cartography, and bibliographic coupling. The study’s findings indicate an average annual publication growth rate of 50.43% since 2010. However, despite this publication volume increase, most studies were conducted in developed countries like Italy, England, the USA, and China. The results of the keyword cluster analysis highlight sustainability and sustainability reporting as prominent research themes. In contrast, keywords like greenwashing and climate change were found to be less prevalent. Regarding the focus of the studies, the majority concentrated on analyzing the nexus between ESG disclosure, sustainability reporting, and firm performance regarding firm value and leverage, with a sizeable proportion exploring the impact of board diversity and gender diversity. The study also established a low link between sustainability reporting and firm performance.
Selective Ensemble Mean Technique for Tropical Cyclone Track Forecasts Using Multi-Model Ensembles

ABSTRACT A selective ensemble mean technique for tropical cyclone (TC) track forecasts, which excludes from the ensemble those models that have large position errors at short lead times, was applied to a set of TC track forecasts produced by 11 operational global deterministic models. The position errors of the resulting selective ensemble mean TC track forecasts were verified for 91 TCs in the western North Pacific from 2010 to 2013 that reached an intensity classification of “tropical storm” or stronger. The TC position errors of the selective ensemble mean were smaller than those of a simple 11-member ensemble mean by 14.4%, 7.4% and 4.7% at forecast times of 24, 48 and 72 hours, respectively. However, the errors were larger than those of the best single-model-based deterministic forecasts, which were ECMWF forecasts. The correlation between TC position errors at short and long lead times was weak, which partially explains why the selective ensemble mean technique in this study had lesser skill than ECMWF forecasts. For operational forecasting, simple ensemble mean forecasts by ECMWF and NCEP generally provide the best forecast performance for verification samples from 2010 to 2013.
Input‐to‐state stability of nonlinear stochastic time‐varying systems with impulsive effects

This paper considers the input‐to‐state stability, integral‐ISS, and stochastic‐ISS for impulsive nonlinear stochastic systems. The Lyapunov function considered in this paper is indefinite, that is, the rate coefficient of the Lyapunov function is time‐varying, which can be positive or negative along time evolution. Lyapunov‐based sufficient conditions are established for ensuring ISS of impulsive nonlinear stochastic systems. Three examples involving one from networked control systems are provided to illustrate the effectiveness of theoretical results obtained. Copyright © 2016 John Wiley & Sons, Ltd.
REX-SC: Range-Extended Stochastic Computing Accumulation for Neural Network Acceleration

Deep learning has grown in capability and size in recent years, prompting research on alternative computing methods to cope with the increased compute cost. Stochastic computing (SC) promises higher compute efficiency with its compact compute units, but accuracy issues have prevented wide adoption, and accuracy-improving techniques have sacrificed runtime or training performance. In this work, we propose extended range SC—Range-Extended SC Accumulation to deal with the accuracy issues of SC. By modifying the functionality of OR-based SC accumulation, we increase SC computation accuracy without sacrificing the performance benefits. Our approach achieves a <inline-formula> <tex-math notation="LaTeX">$2\times $ </tex-math></inline-formula> reduction in stream length for the same accuracy compared to SC with OR-based accumulation and an up to <inline-formula> <tex-math notation="LaTeX">$3.6\times $ </tex-math></inline-formula> improvement in energy compared to SC with binary addition. With proper modeling, our approach improves training performance for SC-based neural networks and makes training SC models practical for large datasets like ImageNet.
Enablers and Barriers to Kangaroo Mother Care in Decentralized African District

Background: Since its creation in the 1970s, Kangaroo Mother Care (KMC) has proven many benefits, particularly in reducing mortality of premature or LBW new-borns in low resources settings. Unfortunately, its expansion, especially in Africa, remains insufficient. A KMC project set up over 2 years in the district hospital of Bonassama in Cameroon with a grant of the Geneva University Hospitals (HUG). After more than five years, its sustainability remained uncertain without external funds. We therefore thought to determine enablers and barriers to KMC in this health structure of a low resources African district. Method: Qualitative research by semi-structured interviews with 22 families and 6 caregivers who directly participated in the KMC program. Data analysis was based on a pre-established evaluation grid. Results: The main barriers to KMC parents were communitarian, based on prejudice against prematurity and LBW, direct costs for families
The Effect of Combined Treatment with Passive Therapy, Physical Exercises, Lumbar Traction, and Walking Program on Chronic Low Back Pain

Chronic low back pain (CLBP) is one of the most common musculoskeletal disorders worldwide with far-reaching implications for social, economic, and public health. The study aimed to compare the effect of combined physiotherapy treatment in patients with CLBP. This observational retrospective randomized controlled study involved reviewing medical records of patients who were treated during a period of 6 weeks in the physiotherapy department of the Special Hospital for General Rehabilitation “Banja e Kllokotit,” Kllokot, Republic of Kosovo. The observational research was conducted for 60 patients, divided into two groups: Group 1: experimental group (n=30), with mean age of 41.7 years, average height of 1.68 cm, and average body mass index (BMI) of 71.7 for both sexes; Group 2: control group (n=30) with mean age of 43.1 years, average height of 1.66 cm, and average body mass index (BMI) of 71.5 for both sexes. In Group 1, combined treatment with passive therapy [thermotherapy and transcutaneous electrical nerve stimulation (TENS)], physical exercises, lumbar traction, and walking program was applied, while in Group 2, passive therapy like thermotherapy and TENS was applied. Outcome measurements included pain intensity, lumbar flexibility, revised Oswestry disability index (ODI), and self-confidence, which were assessed pre-treatment, at 3 weeks, and after 6 weeks of clinical treatment. The results showed significant improvement in both groups. However, the improvement was greater and with a significant difference only after 6 weeks in Group 1 compared to Group 2. The differences were observed in various outcome measures, including the visual analog scale for pain (VAS; p<0.0001), fingertip-to-floor distance (FTF; p<0.0001), ODI (p<0.0001), and Rosenberg self-esteem scale (RSE; p=0.0002). According to our data, combined treatment with thermotherapy, therapeutic exercises, lumbar traction, TENS, and walking program was more effective and can be considered as a treatment protocol for patients with CLBP. However, further research is recommended on the efficacy of combined physiotherapy treatment, especially lumbar traction for longer periods.
Learners’ attitudes and perspectives towards English pronunciation abilities with different religious backgrounds in Thailand

A plethora of studies has examined EFL learners’ attitudes towards and perceptions of English pronunciation, yet little has been discussed about the influence of religious backgrounds on one’s pronunciation abilities, especially in the Thai context. This study aims to extend the research area by studying Buddhist and Muslim EFL learners’ attitudes and perspectives about their English pronunciation abilities in Thailand. Using a mixed-method design, it collected survey data from 60 undergraduate students (50% Buddhist, 50% Muslim) at a university in south Thailand. An English pronunciation test was conducted to gather data on the students’ English pronunciation performances. The quantitative findings revealed that Buddhist and Muslim Thai EFL learners possessed moderate levels of attitudes towards their English pronunciation and perceived indirect influences of their religion on their English pronunciation. Although the learners’ attitudes and perceptions were connected, they were not significant predictors of their actual English pronunciation. Religion and gender had no direct impact on the learners’ attitudes; however, their frequent religious practices have led to the awareness that students from some religious backgrounds can have an advantage in pronouncing some English sounds, letters, or words over their friends with a different religion. The results of this research also suggest that there is much more to be learned about the effects and contributions of religious backgrounds on learners’ English pronunciation among learners.
The combined satellite-only global gravity field model GOCO02S

The new series of global gravity models computed by the GOCO consortium started with the release of the satellite-only model GOCO01S in July 2010. The model has a resolution of degree and order 224 and is composed by two months of GOCE gradiometry data and the most recent GRACE-only model ITG-Grace2010s, which contains seven years of observations. The low to medium degrees of GOCO01S are primarily determined by GRACE, whereas the GOCE gradiometry measurements start to significantly contribute at degree 100. Beyond degree 150, the combined model is dominated by GOCE.
Absolute energy scale calibration of multi-TeV cosmic rays using the moon's shadow observed by the Tibet air shower array

K. Kawata for the Tibet AS Collaboration M. Amenomori , S. Ayabe , D. Chen S.W. Cui , Danzengluobu , L.K. Ding , X.H. Ding , C.F. Feng , Z.Y. Feng , X.Y. Gao , Q.X. Geng , H.W. Guo , H.H. He , M. He , K. Hibino , N. Hotta , Haibing Hu , H.B. Hu , J. Huang , Q. Huang , H.Y. Jia , F. Kajino , K. Kasahara , Y. Katayose , C. Kato , K. Kawata , Labaciren , G.M. Le , J.Y. Li , H. Lu , S.L. Lu , X.R. Meng , K. Mizutani , J. Mu , K. Munakata , A. Nagai , H. Nanjo , M. Nishizawa , M. Ohnishi , I. Ohta , H. Onuma , T. Ouchi , S. Ozawa , J.R. Ren , T. Saito , M. Sakata , T. Sasaki , M. Shibata , A. Shiomi , T. Shirai , H. Sugimoto , M. Takita , Y.H. Tan , N. Tateyama , S. Torii , H. Tsuchiya , S. Udo , H. Wang , X. Wang , Y.G. Wang , H.R. Wu , L. Xue , Y. Yamamoto , C.T. Yan , X.C. Yang , S. Yasue , Z.H. Ye , G.C. Yu , A.F. Yuan , T. Yuda , H.M. Zhang , J.L. Zhang , N.J. Zhang , X.Y. Zhang , Y. Zhang , Yi Zhang , Zhaxisangzhu and X.X. Zhou (a) Department of Physics, Hirosaki University, Hirosaki 036-8561, Japan (b) Department of Physics, Saitama University, Saitama 338-8570, Japan (c) Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan (d) Key Lab. of Particle Astrophys. , Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China (e) Department of Mathematics and Physics, Tibet University, Lhasa 850000, China (f) Department of Physics, Shandong University, Jinan 250100, China (g) Institute of Modern Physics, South West Jiaotong University, Chengdu 610031, China (h) Department of Physics, Yunnan University, Kunming 650091, China (i) Faculty of Engineering, Kanagawa University, Yokohama 221-8686, Japan (j) Faculty of Education, Utsunomiya University, Utsunomiya 321-8505, Japan (k) Institute for Cosmic Ray Research, the University of Tokyo, Kashiwa 277-8582, Japan (l) Department of Physics, Konan University, Kobe 658-8501, Japan (m) Faculty of Systems Engineering, Shibaura Institute of Technology, Saitama 337-8570, Japan (n) Department of Physics, Shinshu University, Matsumoto 390-8621, Japan (o) Center of Space Science and Application Research, Chinese Academy of Sciences, Beijing 100080, China (p) Advanced Media Network Center, Utsunomiya University, Utsunomiya 321-8585, Japan (q) National Institute of Informatics, Tokyo 101-8430, Japan (r) Tokyo Metropolitan College of Aeronautical Engineering, Tokyo 116-0003, Japan (s) Shonan Institute of Technology, Fujisawa 251-8511, Japan (t) Advanced Research Institute for Science and Engineering, Waseda University, Tokyo 169-8555, Japan (u) RIKEN, Wako 351-0198, Japan Presenter: K. Kawata (kawata@icrr.u-tokyo.ac.jp), jap-kawata-K-abs1-he11-oral
The Logistic Regression Models and the Accuracy Measures in Analyzing Medical Data

There are many statistical models for analyzing categorical outcome variable such as the classification models, the discriminant models, and the logistic regression models. This research introduces a comparison study between these regression models to analyze medical data on the basis of several measures of predictive accuracy to set proper choice between them. A reviewed of such models and the assumptions of each model will introduce in the research. Many evaluation and accuracy measures for evaluating models are presented. Two applications in the medical field are introduced using two different real data sets to make the comparisons between models. The analysis of the results and conclusions are concluded in the research.
Improved Parameterization Methodology for a Field-Stop Trench-Gate IGBT Physical Model by Switching Feature Partitioning

The accurate simulation of insulated gate bipolar transistor (IGBT) characteristics is an essential task to predict its electrical behaviors. Numerous physics-based IGBT models have been developed and proven to produce satisfactory simulation results. However, unavailability of device parameters is the key roadblock to the application of these physics-based models. In addition, the coupling between device parameters renders parameter extraction very challenging and heavy. In this article, a novel parameter extraction scheme by switching feature partitioning is proposed, which considerably relaxes the negative impact of parameter coupling during parameter extraction. The IGBT inductive turn-off process and static characteristics are divided into nine typical feature segments under an inductive load. Then, the physical principle of each feature segment is analyzed, and the corresponding influencing parameters of each feature segment are found. During the parameter extraction, the corresponding weights are assigned to the parameter search according to the error of each feature segment. The proposed method for parameter extraction is elaborated. Using the extracted parameters, the simulation results by the physics-based IGBT model are in excellent agreement with the experimental results of the tested IGBT, and the effectiveness of the proposed parameter extraction program is verified. Finally, the extracted parameters are evaluated and verified by global sensitivity analysis.
Hypersurfaces with Codazzi-type shape operator for a Tanaka--Webster connection

Perez and Suh have classi(cid:12)ed the hypersurfaces in complex projective space C P n which satisfy the condition given in the title, under the assumption that n (cid:21) 3. In this paper, we complete the classi(cid:12)cation by proving the same result for the complex hyperbolic space C H n as well as for C P n . Our proof holds for all n (cid:21) 2.
Get to the Heart of the Matter without Being Distracted by Superficial Events--Creating New Value with the NTT WEST Spirit

The artificial intelligence (AI)/Internet of Things initiatives being undertaken in many countries will lead to a new computing paradigm called phygital-data-centric computing, which will create data servers near the physical world and their clients on the cloud. NTT Software Innovation Center is developing technologies necessary for value-generating, cost-effective, and operable phygital-data-centric computing. In particular, it is conducting research and development in three focus areas, 1) AI computing infrastructure, 2) data hub/pipelines, and 3) advanced analytics.
Evaluation of the Buruan Sae Program: A Case Study in Jatisari, Buah Batu, Bandung

The emergence of the food crisis in Bandung City due to COVID-19 has prompted the local government to create an integrated urban farming program. This program is called Buruan Sae. This program aims to support food security for the people of Bandung. One of the targets is located in Jatisari, Buah Batu, Bandung. In that area, the program has been successfully implemented and has reached 22 times harvests. However, unfortunately, the residents in the area still have a low level of participation in the Buruan Sae program. According to this problem, the researchers would like to conduct a study to evaluate the integrated urban farming in Buruan Sae. This study uses qualitative methods for data collection through interviews. The results of this study show that the low level of participation in the Buruan Sae program in Jatisari occurred since the benefits of this program cannot be felt equally by all residents of Jatisari. Only residents of RW 02 can feel the positive impact of the harvest achieved through the Buran Sae Program. Meanwhile, based on effectiveness, efficiency, adequacy, responsiveness, and accuracy, integrated urban farming has succeeded in meeting the indicators and is worthy of being used as a food security policy program. Keywords: Buruan Sae, evaluation, food security, policy, urban farming