Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring the Nexus Between Bonding, Communication, Customer Satisfaction and Customer Loyalty: A Case of Higher Education Institutes in Thailand

The main objective of this study is to examine the role of relationship market dimensions namely bonding and communication on the customer loyalty among Thai university graduates. In addition to that the study has examined the mediating role of customer satisfaction in the relationship between the relationship marketing and customer loyalty. Internationally, the policy related to the fact of being an owner is shifting towards the private sector from the public sector for universities and other higher educational institutions (HEIs). The increasing number of universities either private or public universities is also creating an increase in competition between universities for more enrollment of students. The theoretical structure of the recent research was determined from earlier practical literature and theoretical errors were recognized in the literature review. The structure was defined and supported by two important theories such as the social learning theory and the social exchange theory.
Comparative Study of Growth Performance of Deshi, Fayoumi, Rir and Sonali Chicken Reared Under Farm and Semi Scavenging Condition

The objectives of the study to compare the growth performance of Deshi, Fayoumi, RIR and Sonali chicken reared under farm and semi scavenging. A total of 288 day-old chicks (72 from Deshi, 72 Fayoumi, 72 RIR and 72 Sonali) were used in this trial for a period of 20 weeks of age with 4 genotypes. 144 chicks were reared under farm condition and another144 chicks were under semi scavenging system. In farm, birds were fed ad libitum a commercial starter and grower feed. In semi scavenging at first 5 weeks, each chick was fed 10g balanced feed and maximum supplement was 50g up to the end of the experiment. This study revealed that day-old chick weight was the highest in RIR, intermediate and similar in Sonali and Fayoumi and the lowest in Deshi (P<0.01). Day-old chick weight did not differ between farm and semi scavenging (P>0.05). The highest live weight was found in RIR followed by Sonali, Fayoumi and Deshi at 20 weeks of age. All genotypes were heavier in farm than in those reared in semi scavenging except Deshi. Live weight gained at 20 weeks of age was the highest in RIR followed by Sonali, Fayoumi and Deshi (P<0.01). Deshi chicken was heavier in semi scavenging in comparison with in farm condition. Similar and higher survival rate was found in Sonali, Fayoumi and RIR and lower in Deshi (P<0.01). In farm condition, survivability was higher than in semi scavenging. Farm reared Deshi chicken tended to minimize survivability than those reared in semi scavenging. Feed intake was similar and higher in RIR and Sonali, intermediate in Fayoumi and the lowest in Deshi (P<0.01). Superior feed conversion was found in RIR followed by Sonali, Fayoumi and Deshi. Feed conversion was higher in semi scavenging than that in farm (P<0.01). From the study it is concluded that growth rate, survivability, feed intake and feed conversion ratio appeared to be the best in RIR, Sonali in intermediate and Fayoumi and Deshi are the worst in growth performance. Farm reared chicken had better potential than those in semi scavenging chicken. Deshi chicken had little difference in growth performance in two rearing systems.
Hospitality Interest and Inferred Domains: A Comparative Study Among Indian and Malaysian Students

Hospitality and Tourism industry is one of the fastest growing sectors in the world with its direct contribution to GDP was USD2, 229.8bn (3.0 of total GDP) in 2015. By 2026, Travel & Tourism will account for 135,884,000 jobs directly, an increase of 2.1 per annum over the next ten years (WTTC, 2016). The potential growth trends of this sector in India and Malaysia can also be predicted by identifying occupational/professional interest trends among students in the hospitality education. This study established a comparison between 400 hospitality and tourism students of two different universities located in India and Malaysia, who identify their interests in the various domains of the hospitality and tourism industry. Findings revealed that both the Indian students and Malaysian students have a deeper interest in domains like F&B Service, F&B Production, Housekeeping and Front Office. In addition, the study infers that the score was indicative of their desire to pursue careers in Cruise Lines for Indian students while for Malaysian students; they have a deeper desire to pursue careers in domains Entrepreneurship. Findings will help institutions and industry to know the trends of students’ occupational interest in totality, which will further aid Institutions and industry to make decisions on strategic planning and implementation of taking up the course, introducing specialised areas and creating enough employment opportunities in the thrust domains.
Which Patients Are Missing? Effects of the COVID-19 Pandemic on Non-COVID-19 Healthcare Utilization in Mexico (preprint)

Objective: To analyze the effects of the COVID-19 pandemic on non-COVID-19 healthcare utilization in Mexico, including oral health, mental health, communicable diseases, health check-up, chronic degenerative diseases, postpartum care, prenatal care, and family planning. Methods: We use administrative data from Mexico’s Ministry of Health from 2018 to 2020. This data covers 14,299 consultation units and 775 hospitals from the 32 Mexican States, all of which are public institutions. We employ a difference-indifferences strategy and an event study to understand the dynamics of the effects throughout the pandemia. Results: We observe a decrease in all healthcare services: oral health (98%), mental health (62%), communicable diseases (53%), health check-up (45%), chronic degenerative diseases (42%), postpartum care (39%), prenatal care (34%), and family planning (17%). Further, the event study indicates that health-check-up and family-planning visits follow a U-shaped trend, where these visits drop at the beginning of the pandemic and returning to pre-pandemic levels towards the end of our panel period. Visits for oral health, mental health, chronic degenerative diseases, prenatal care, and postpartum care also follow a U-shaped trend, although these do not return to pre-pandemic levels during our period of analysis. Conclusions: The 2020 pandemic had detrimental effects on non-COVID-19 healthcare utilization. These interruptions in healthcare will likely have short and longterm impacts on morbidity and mortality. Programs intended to remediate these negative consequences may be of interest to policymakers.
Knowledge about COVID-19 in Young Lmeños University Students

Millions of cases of people infected with the Covid-19 virus in the world have been reported today, so knowing about its implications is vitally important not only to prevent contagion, but also to combat the fake news that is created about this virus. Therefore, this study aims to determine the level of knowledge about coronavirus in young limenos university students in 2020. The study was descriptive of non-experimental design. An online questionnaire evaluating the level of knowledge, previously validated by factorial analysis, was applied as an instrument. The exhibition consisted of 700 young university students from the first academic cycles between the ages of 16 and 25 (350 male and 350 female) from five universities in the city of Lima. The results show an average level of knowledge with 60%, followed by a low level with 20.4% and a high level with only 19.6%. This study is the first to investigate informational aspects related to Covid-19 and some associated socio demographic characteristics among the university population of an important city in Latin America.
Evaluation Of Clinico-Biochemical Profile And Antibiotic Sensitivity Pattern Of Children Diagnosed With Typhoid Fever

Aim: This study was conducted to evaluation of Clinical & Laboratory Profile of Typhoid Fever in Children in Bihar Region. Methods: A prospective observational study was conducted in the Department of Pediatric, Anugrah Narayan Magadh Medical College and Hospital, Gaya, Bihar, India for 18 months. Total 120 Children aged below 18 years with history of fever of more than 7-10 days duration were included in this study. In each case, age, sex, presenting complaint, laboratory investigations and antibiotic sensitivity pattern are collected and analysed. Results: Out of 120 cases, 80 cases (66.67%) were males and 40 cases (33.33%) were females. Most of the cases were aged between 6 and 12 years. 59 cases were aged between 6 and 12 years (49.17%). In all the above age groups male predominance was seen. The most common symptom was fever (100%), followed by anorexia (65.83%), vomiting (47.5%), pain abdomen (20%), diarrhea (11.67%), headache (9.17%), and cough (6.67%). The most common sign we observed was toxic look in 69.17% of the cases followed by coated tongue in 49.17%, hepatomegaly 45.83%, splenomegaly 20.83%, hepatosplenomegaly in 13.33% of cases and pallor in 5.83% of cases. Table 6 depicts the laboratory parameters. Anemia found in 26 (21.67%) cases, leucopenia and leucocytosis was observed in 41(34.17%) cases and 19(15.83%) cases respectively. Neutropenia found in 50(41.67%) cases and neutrophilia was found in 35(29.17%) cases. Eosinopenia was seen in 56(46.67%) cases, eosinophilia in 8(6.67%) cases and thrombocytopenia in 19(15.83%) cases. SGOT levels was elevated (>200IU/ml) in 14(11.67%) cases and SGPT (>200IU/ml) in 17(14.17%) cases. The elevated levels of liver enzymes lasted only few days. Conclusion: Public health interventions like supply of safe drinking water, appropriate sanitation, awareness of the disease and its transmission, and good personal hygiene practices may be employed.
The Economic Impact of Depression Treatment in India

This study evaluates the impact of depression treatment on economic behavior in Karnataka, India. We cross-randomize pharmacotherapy and livelihoods assistance among 1,000 depressed adults and evaluate impacts on depression severity, socioeconomic outcomes, and several potential pathways. When combined, the interventions reduce depression severity, with benefits that persist after treatment concludes. Pharmacotherapy alone has a weaker effect that is only marginally significant and dissipates sooner. Depression treatment does not significantly increase earnings, consumption, or human capital investment in children. (JEL I12, I15, I18, J13, J22, J31, O15)
Ants Can Anticipatively and Correctly Increment the Last Quantity of a Learned Arithmetic Sequence

It has previously been shown that Myrmica sabuleti ant workers trained to an increasing (1 to 4) or decreasing (5 to 2) arithmetic sequence can expect that the next quantity will be larger or smaller. Here we show that they anticipate the exact next quantity by correctly incrementing the last quantity of the learned sequence by +1 or -1 and not by +2 or -2. Correctly anticipating the following quantity in an arithmetic sequence may result from the ants’ ability of acquiring conditioning, of memorizing lived events, and of perceiving the running time.
Norm Exemption in States’ NPT Nuclear Disarmament Obligations

The Nuclear Nonproliferation Treaty (NPT) is highly appreciated for its ability to stop further nuclear proliferation in the world. Since its existence, this treaty has been said to be successful in preventing potential states from possessing weapons of mass destruction. At least, there are more than 40 states who have the capability to develop their own nuclear programmes, although such programmes are restrained from coming to fruition. However, this successful story has not taken place in the area of nuclear disarmament. None of its nuclear weapon-owning members seem to proceed with realising a full disarmament aim. This raises the question of why the NPT is unable to achieve success in the field of nuclear disarmament as it has in the field of nuclear non-proliferation. The NPT does not only contain the idea of nuclear non-proliferation, but also the idea of nuclear disarmament. In understanding this question, using a political psychology approach, this study finds that nuclear-weapon states face the so-called moral dilemma between the desire to achieve national interests and the desire to fulfil social demands required by the international norm. By taking advantage of the shortcomings in the NPT narrative as well as relevant world situations, these states attempt to be exempted from dismantling nuclear weapons under their possession.
Migrant Selection and Sorting during the Great American Drought

Migration is among the most basic adaptation methods to inhospitable environments and has large economic consequences for both migrants and the broader economy. To estimate the impact of the worst drought in U.S. history on migration, I match 1940 census data with county-level drought conditions. I find that drought substantially increased migration rates for individuals with a 12th grade education or higher but had little impact on migration rates for people with less education. This differential migration response to drought by education was most pronounced in counties with larger economic downturns during the Great Depression, consistent with the hypothesis that individual liquidity constraints limited migration for people with lower human capital. In terms of where migrants went, I show that the majority of migrants in the late 1930s relocated to rural destinations. In fact, migrants from drought counties were less likely to relocate to cities compared to similar migrants from non-drought counties. These findings detail the impact of widespread drought for Depression-era migration and document the central role of individual human capital in the uptake of migration from climate shocks.
Scattering in velocity-dependent systems

Scattering of electromagnetic waves by arbitrary objects moving in free space is discussed. The objects move at constant velocities. The formalism is relativistically exact and applies to arbitrary distances from the scatterer. The results are recast in terms of the dominant (far-field) frequency; this is useful for low velocities and near-field frequencies. Numerical results are given for scattering by two-dimensional moving monopoles and dipoles.
Towards High-throughput AI-based Segmentation in Oncological PET Imaging

Synopsis: Artificial intelligence (AI) techniques for image-based segmentation have garnered much attention in recent years. Convolutional neural networks (CNNs) have shown impressive results and potential towards fully automated segmentation in medical imaging, and particularly PET imaging. To cope with the limited access to annotated data needed in supervised AI methods, given tedious and prone-to-error manual delineations, semi-supervised and unsupervised AI techniques have also been explored for segmentation of tumors or normal organs in single and bi-modality scans. This work provides a review of existing AI techniques for segmentation tasks and the evaluation criteria for translational AI-based segmentation efforts towards routine adoption in clinical workflows.
A high-performance code for EPRL spin foam amplitudes

We present sl2cfoam-next, a high-performance software library for computing Lorentzian EPRL spin foam amplitudes. The library improves on previous codes by many orders of magnitude in single-core performance, can be parallelized on a large number of CPUs and on the GPU, and can be used interactively. We describe the techniques used in the code and provide many usage examples. As first applications, we use sl2cfoam-next to complete the numerical test of the Lorentzian single-vertex asymptotics and to confirm the presence of the ‘flatness problem’ of spin foam models in the BF and EPRL cases.
Heterogeneously-Distributed Joint Radar Communications: Bayesian Resource Allocation

Due to spectrum scarcity, the coexistence of radar and wireless communication has gained substantial research interest recently. Among many scenarios, the heterogeneously-distributed joint radar-communication system is promising due to its flexibility and compatibility of existing architectures. In this paper, we focus on a heterogeneous radar and communication network (HRCN), which consists of various generic radars for multiple target tracking (MTT) and wireless communications for multiple users. We aim to improve the MTT performance and maintain good throughput levels for communication users by a well-designed resource allocation. The problem is formulated as a Bayesian Cramér-Rao bound (CRB) based minimization subjecting to resource budgets and throughput constraints. The formulated nonconvex problem is solved based on an alternating descent-ascent approach. Numerical results demonstrate the efficacy of the proposed allocation scheme for this heterogeneous network.
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

This article surveys and organizes research works in a new paradigm in natural language processing, which we dub “prompt-based learning. ” Unlike traditional supervised learning, which trains a model to take in an input x and predict an output y as P(y|x), prompt-based learning is based on language models that model the probability of text directly. To use these models to perform prediction tasks, the original input x is modified using a template into a textual string prompt x′ that has some unfilled slots, and then the language model is used to probabilistically fill the unfilled information to obtain a final string x̂, from which the final output y can be derived. This framework is powerful and attractive for a number of reasons: It allows the language model to be pre-trained on massive amounts of raw text, and by defining a new prompting function the model is able to perform few-shot or even zero-shot learning, adapting to new scenarios with few or no labeled data. In this article, we introduce the basics of this promising paradigm, describe a unified set of mathematical notations that can cover a wide variety of existing work, and organize existing work along several dimensions, e.g., the choice of pre-trained language models, prompts, and tuning strategies. To make the field more accessible to interested beginners, we not only make a systematic review of existing works and a highly structured typology of prompt-based concepts but also release other resources, e.g., a website NLPedia–Pretrain including constantly updated survey and paperlist.
Wave Emission of Nonthermal Electron Beams Generated by Magnetic Reconnection

Magnetic reconnection in solar flares can efficiently generate nonthermal electron beams. The energetic electrons can, in turn, cause radio waves through microscopic plasma instabilities as they propagate through the ambient plasma along the magnetic field lines. We aim at investigating the wave emission caused by fast-moving electron beams with characteristic nonthermal electron velocity distribution functions (EVDFs) generated by kinetic magnetic reconnection: two-stream EVDFs along the separatrices and in the diffusion region, and perpendicular crescent-shaped EVDFs closer to the diffusion region. For this purpose, we utilized 2.5D fully kinetic Particle-In-Cell code simulations in this study. We found the following: (1) the two-stream EVDFs plus the background ions are unstable to electron/ion (streaming) instabilities, which cause ion-acoustic waves and Langmuir waves due to the net current. This can lead to multiple-harmonic plasma emission in the diffusion region and the separatrices of reconnection. (2) The perpendicular crescent-shaped EVDFs can cause multiple-harmonic electromagnetic electron cyclotron waves through the electron cyclotron maser instabilities in the diffusion region of reconnection. Our results are applicable to diagnose the plasma parameters, which are associated to magnetic reconnection in solar flares by means of radio wave observations.
Exact closed-form analytic wave functions in two dimensions: Contact-interacting fermionic spinful ultracold atoms in a rapidly rotating trap

Exact two-dimensional analytic wave functions for an arbitrary number $N$ of contact-interacting lowest-Landau-level (LLL) spinful fermions are derived with the use of combined numerical and symbolic computational approaches via analysis of exact Hamiltonian numerical diagonalization data. Closed-form analytic expressions are presented for two families of zero-interaction-energy states at given total angular momentum and total spin $0 \leq S \leq N/2$ in the neighborhood of the $\nu=1$ filling, covering the range from the maximum density droplet to the first quasihole. Our theoretical predictions for higher-order spatial and momentum correlations reveal intrinsic polygonal, multi-ring crystalline-type structures, which can be tested with ultracold-atom experiments in rapidly rotating traps, simulating quantum Hall physics (including quantum LLL skyrmions).
Detecting Abusive Albanian

The ever growing usage of social media in the recent years has had a direct impact on the increased presence of hate speech and offensive speech in online platforms. Research on effective detection of such content has mainly fo-cused on English and a few other widespread languages, while the leftover majority fail to have the same work put into them and thus cannot benefit from the steady advancements made in the field. In this paper we present Shaj , an annotated Albanian dataset for hate speech and offensive speech that has been constructed from user-generated content on various social media platforms. Its annotation follows the hi-erarchical schema introduced in Zampieri et al. (2019b). The dataset is tested using three different classification models, the best of which achieves an F1 score of 0.77 for the identification of offensive language, 0.64 F1 score for the automatic categorization of offensive types and lastly, 0.52 F1 score for the offensive language target identification.
Distorted kagome antiferromagnet: Phase diagram and application to Y-kapellasite

Max Hering, 2, ∗ Francesco Ferrari, † Aleksandar Razpopov, Igor I. Mazin, Roser Valent́ı, Harald O. Jeschke, and Johannes Reuther 2 Helmholtz-Zentrum Berlin für Materialien und Energie, Hahn-Meitner Platz 1, 14109 Berlin, Germany Dahlem Center for Complex Quantum Systems and Fachbereich Physik, Freie Universität Berlin, 14195 Berlin, Germany Institute of Theoretical Physics, Goethe University Frankfurt, Max-von-Laue-Straße 1, 60438 Frankfurt am Main, Germany Department of Physics and Astronomy, and Quantum Science and Engineering Center, George Mason University, Fairfax, VA 22030 Research Institute for Interdisciplinary Science, Okayama University, Okayama 700-8530, Japan (Dated: July 30, 2021)
Hybrid dark excitons in monolayer 
MoS2

Transition metal dichalcogenides have a rich exciton landscape consisting of a variety of bright and dark excitonic states. We consider the lowest-energy dark states in MoS2, which can be referred to as hybrid excitons, as they are formed by a Dirac electron and a Schrödinger hole. The chiral nature of the Dirac electron introduces asymmetry to the excited exciton state spectrum and couples the relative motion of the electron and hole with the center-of-mass motion. We demonstrate that this coupling generates an additional contribution to the Berry curvature of hybrid excitons. The additional contribution is substrate-dependent and accounts for almost one quarter of the Berry curvature in suspended samples. The nontrivial geometry of hybrid excitons is manifested in the optical anomalous valley Hall effect, which can be observed via recently developed pump-probe photoemission spectroscopy. We argue that the Hall angle of hybrid excitons is approximately one half of that for bright excitons. Moreover, the anticipated long lifetime of hybrid excitons favors an extended propagation distance and allows the spatial separation of hybrid excitons with different valley indices.