Miracle-dz/UniFAR-FTUs huggingface dataset:
Toward a Deeper Understanding of Prolific Lying: Building a Profile of Situation-Level and Individual-Level Characteristics

Prior work suggests those who lie prolifically tend to be younger and self-identify as male compared to those who engage in everyday lying, but little research has developed an understanding of prolific lying beyond demographics. Study 1 (N = 775) replicated the prior demographic effects and assessed prolific lying through situation-level (e.g., opportunistic cheating) and individual-level characteristics (e.g., dispositional traits, general communication patterns) for white and big lies. For these two lie types, prolific lying associated with more opportunistic cheating, the use of fewer adjectives, and being high on psychopathy compared to everyday lying. Study 2 (N = 1,022) replicated these results and observed a deception consensus effect reported in other studies: the more that people deceived, the more they believed that others deceived as well. This piece develops a deeper theoretical understanding of prolific lying for white and big lies, combining evidence of situational, dispositional, and communication characteristics.
Delineating the Effects of Social Media Marketing Activities on Generation Z Travel Behaviors

Generation Z (Gen Z) has emerged as the largest and most challenging consumer group for destination marketers. This study investigates the varying effects of social media marketing activities (SMMAs) on Gen Z travel behaviors. A comparative analysis approach between Gen Z and other generations was used to assess the attributes of SMMAs and their role in tourism destination visits. Gen Z tourists were more susceptible to the four traits of SMMAs (entertainment, trendiness, interaction, and word-of-mouth) when choosing destinations and were more likely to pay a premium for visiting than their generational counterparts. Gen Z females were more likely to be influenced by SMMA customization and word-of-mouth features, while Gen Z males were more sensitive to the entertainment features of SMMAs. These findings deepens marketers’ understanding of Gen Z travelers’ preferences and behaviors so that they provide constructive directions for marketers to implement effective SMMAs strategies.
Cell Stem Cell Essential Role of Foxo 3 a in Self-Renewal of HSCs

Kana Miyamoto, Kiyomi Y. Araki, Kazuhito Naka, Fumio Arai, Keiyo Takubo, Satoshi Yamazaki, Sahoko Matsuoka, Takeshi Miyamoto, Keisuke Ito, Masako Ohmura, Chen Chen, Kentaro Hosokawa, Hiromitsu Nakauchi, Keiko Nakayama, Keiichi I. Nakayama, Mine Harada, Noboru Motoyama,* Toshio Suda,* and Atsushi Hirao* 1 Department of Cell Differentiation, The Sakaguchi Laboratory of Developmental Biology, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan 2 Department of Medicine and Biosystemic Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, Fukuoka 812-8582, Japan 3 Department of Geriatric Medicine, National Institute for Longevity Sciences, National Center for Geriatrics and Gerontology, Obu, Aichi 474-8522, Japan 4 Division of Molecular Genetics, Center for Cancer and Stem Cell Research, Cancer Research Institute, Kanazawa University, Kanazawa, Ishikawa 920-0934, Japan 5 Laboratory of Stem Cell Therapy, Center for Experimental Medicine, The Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo 108-8639, Japan 6 Department of Developmental Genetics, Center for Translational and Advanced Animal Research on Human Diseases, Graduate School of Medicine, Tohoku University, Sendai, Miyagi 980-8575, Japan 7 Department of Molecular and Cellular Biology, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Fukuoka 812-8582, Japan 8 Core Research for Evolutional Science and Technology, Japan Science and Technology Agency, Kawaguchi, Saitama 332-0012, Japan 9 These authors contributed equally to this work. *Correspondence: ahirao@kenroku.kanazawa-u.ac. jp (A.H.), sudato@sc.itc. keio.ac. jp (T.S.), motoyama@nils.go. jp (N.M.) DOI 10.1016/j.stem. 2007.02. 001
Prosodic cues to agreement and disagreement prefaces in Austrian German conversations

While the expression of speaker alignment has been of interest in Conversation Analysis for decades, the prosody of (dis)agreement has so far only received little attention. This is the first investigation of the timing of agreement and disagreement turns in conversational Austrian German and the prosody of prefaces to these turns. To assess the timing and prosody, we extracted the duration of the pause before the (dis)agreeing turn, the duration of the preface, examined its F0 shape and performed linear and logistic regression analyses to estimate the relationship of these features with (dis)agreement. We find that agreement prefaces tend to be short and uttered after a short pause. Prefaces to straightforward disagreements are also produced after a short pause but tend to be long. Prefaces to a sub- category of disagreeing turns (“yes you’re right, but…”) tend to be long and uttered after a long pause. Various F0 shapes occur in all three types of prefaces, but there is a robust relationship between dip-rises and prefaces to straightforward disagreements. While the timing patterns are in line with previous findings in the literature on speaker alignment, we did not find unique F0 patterns for agreement or disagreement.
Has the COVID-19 Pandemic Affected Mathematics Achievement? A Case Study of University Students in Social Sciences

This study examines the effects of COVID-19-related measures on the mathematics achievement of university students in social sciences in Slovenia. Our particular concern was to compare two student populations (pre-pandemic and pandemic) in terms of factors affecting student performance in mathematics courses. Data were collected over nine consecutive academic years (from 2013–2014 to 2020–2021) and analyzed using two-stage structural equation modelling (SEM). The analyses confirmed that the conceptual model developed before the pandemic was applicable during the pandemic period. For both populations (pre-pandemic and pandemic), mathematics confidence, perceived level of math anxiety, background knowledge from secondary school, and self-engagement in mathematics courses at university were confirmed as factors influencing mathematics achievement. Moreover, both populations perceived the effects of the factors in the same way, and the magnitude of the effects is comparable. The rather high values of determination coefficient for mathematics achievement (greater than 0.66 for both student populations) indicate that the variables “Perceived Level of Math Anxiety” and “Self-Engagement in Mathematics Course at University” together explain a significant proportion of the total variance before and during the pandemic. Consequently, the results of our case study indicated that pandemic measures did not have a significant impact on our students’ mathematics achievement. Although a more in-depth study of a broader sample of academic courses would be needed to confirm our findings, our experience indicates that mathematics courses at the tertiary level of education can be successfully delivered online.
Meta-analysis Obstructive Pulmonary Disease : A Systematic Review Inhaled Corticosteroids in Patients With Stable Chronic

CME course Online CME course available. CME course Online CME course available. the same issue Related Articles published in . 2008;300(20):2448. JAMA Janet M. Torpy et al. Chronic Obstructive Pulmonary Disease Related Letters . 2009;301(14):1433. JAMA Finn Radner et al. . 2009;301(14):1432. JAMA James Wall et al. . 2009;301(14):1432. JAMA Yoon K. Loke et al. Inhaled Corticosteroids in Patients With Chronic Obstructive Pulmonary Disease
Accuracy of Quick Sequential Organ Failure Assessment Score & Systemic Inflammatory Response Syndrome Criteria in Predicting Adverse Outcomes in Emergency Surgical Patients With Suspected Sepsis: A Prospective Observational Study

Purpose: Due to the mixed population enrolled in different studies i.e., medical and surgical cases, conflicting data exists about the accuracy of quick sequential organ failure assessment (qSOFA) and systemic inflammatory response syndrome (SIRS) scores in predicting adverse outcomes in patients with suspected sepsis presenting to the surgical emergency. Method: A prospective observational study was done in the department of surgery of a tertiary teaching hospital, India from June 2018 to July 2019. Consecutive patients who visited the surgical emergency department with suspected sepsis were included. Patients were followed up until hospital discharge or death. Results: Of the 410 patients screened, 287 were included in the analysis. The median age was 52 years (interquartile range, 41 to 61years) and 208 (72.8%) were men. Around 56.8% of patients had intra-abdominal pathology, and 43.2% had skin and soft -tissue infection. Sixty-nine (24%) patients died during their hospitalization, 98 (34.1%) patients had organ dysfunction, and 168 (58.5%) patients needed admission to the intensive care unit (ICU). A higher qSOFA score (≥2) was associated with organ dysfunction, ICU admission, and in-hospital mortality. The specificity, positive predictive value and diagnostic accuracy of qSOFA for organ dysfunction (85.7%, 67.8%, 76.3%), ICU admission (92.4%, 89.3%, 64.5%), and in-hospital mortality (81.6%, 52.4%, 77.4%) was higher than SIRS. The area under the receiver operating characteristic curve for qSOFA for these variables was also higher than for SIRS (0.826 vs. 0.524, 0.823 vs. 0.577, and 0.823 vs. 0.555, respectively). Conclusion: qSOFA is a better model for predicting adverse outcomes and mortality, organ dysfunction, and ICU admission in surgical patients. However, SIRS indicates intervention requirements in a surgical patient better than qSOFA.
THE PRELIMINARY PHYTOCHEMICAL ANALYSIS AND ORAL ACUTE TOXICITY STUDY OF STEM BARK OF SYZYGIUM CUMINI

Objective: The current subject field was carried out to evaluate phytochemical analysis and acute toxicity study of the stem bark of Syzygium cumini . Methods: The ethanol extraction was made by the Soxhlet extraction method. Phytochemical screening was performed by applying standard methods. The oral administration of the drug in treating a group is done by using a curved ball-tipped intubation needle affixed to a 3 ml syringe and animal’s observed from cage side observations. All the animals were anesthetized with ether anesthesia; blood was collected from orbital puncture and analysis was made by standard methods. Several organs were collected by dissecting abdominal, thoracic and cranial cavities and each weighed by using a sensitive electronic balance. Fixation was made with 10% buffered formalin and processed for histological embedding by Carleton's histological techniques. Statistical data analyzed by statistical software Sigma Plot 10. Results: The phytochemical screening revealed the presence of flavonoids, tannins, carbohydrates, sterols and amino acids. The oral acute toxicity study showed no detectable clinical signs of toxicity and mortality during the study period of 14 d. There were no statistically significant alterations in body weights, organ weights, and hematological parameters compared to control group. The microscopic anatomy of the reproductive organs and liver showed normal architecture. Conclusion: The outcome of the study showed that the LD50 of the drug was greater than 5000 mg/kg body weight. The phytochemicals present in stem bark of Syzygium cumini can be employed in the fabrication of innovative medication for several diseases.
In Search of Frequency: Glass-induced Metal Corrosion in the Deutsches Bergbau-Museum Bochum

Together with humidity and oxygen from the air, electrolytes that form during glass decay can induce corrosion in neighbouring metals. The presence of sodium, potassium, and formate ions on glass leads to the formation of special metal corrosion compounds. The late discovery of this phenomenon in museum collections pointed to its rareness, but a survey in the cultural history collection of the Swiss National Museum discovered the proportion of affected objects was more than 20 %. The question arose whether this is a common phenomenon or if it only occurs in exceptional cases. For a new investigation and for an independent test on the frequency of this phenomenon, the collection of the Deutsches Bergbau-Museum Bochum (DBM) was selected. The museum has large collections of miners’ lamps and surveying instruments, which exhibit glass-metal contact. In fact, severe cases of corrosion have rarely been detected, but light cases are in the order of 10 %. The compounds identified in the DBM technical heritage collection were the same as those found before in decorative arts collections.
Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models

Domain adaptation aims to leverage source domain knowledge to predict target domain labels. Most domain adaptation methods tackle a single-source, single-target scenario, whereas source and target domain data can often be subdivided into data from different distributions in real-life applications (e.g., when the distribution of the collected data changes with time). However, such subdomains are rarely given and should be discovered automatically. To this end, some recent domain adaptation works seek separations of hidden subdomains, w.r. t. a known or fixed number of subdomains. In contrast, this paper introduces a new subdomain combination method that leverages a variable number of subdomains. Precisely, we propose to use an inter-subdomain divergence maximization criterion to exploit hidden subdomains. Besides, our proposition stands in a target-to-source domain adaptation scenario, where one exploits a pre-trained source model as a black box; thus, the proposed method is model-agnostic. By providing interpretability at two complementary levels (transformation and subdomain levels), our method can also be easily interpreted by practitioners with or without machine learning backgrounds. Experimental results over two fraud detection datasets demonstrate the efficiency of our method.
Musculoskeletal Disorders, Pain and Fatigue among String and Wind Music Students

Music students are more likely to get Musculoskeletal Disorders (MSDs), fatigue, and pain. However, limited studies compared MSDs, pain and fatigue between different types of musical instrument players. This study compared MSDs, pain, and fatigue among music students who play wind and string instruments. A cross-sectional study was conducted with a group of music students in one of the universities in Malaysia. No statistical differences in pain and fatigue were found, but more wind players experience MSD at the wrist and hand than string players. Therefore, students who play string instruments should be more watchful with MSD symptoms. Keywords: Musical instruments, pain, fatigue, musculoskeletal disorder eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v7i20. 3457
Epidemiology of soccer-related injuries among male high school players in Kigali , Rwanda

Soccer in Rwandan high schools can expose players to the risk of injury warranting prevention programmes. The aim of this study was to determine the type, causes, severity and management of injuries among high school soccer players in Rwanda, in order to obtain baseline data for injury prevention programmes. A cross-sectional study was used to obtain the relevant information. A total of 360 high school soccer players were targetted. Data for soccer players were gathered, using a validated closed-ended questionnaire. Information was obtained from the players during training sessions at the schools after informed consent was obtained. The soccer players were all males aged 11 to 26 years, with a mean age of 16.8 years (SD= 3.4). The study revealed a 75% injury prevalence, with a significantly high rate of injuries occurring during competiton (p< 0.05). The lower extremities accounted for 78% of all injuries sustained, and most of the injuries were not severe. Management of injuries was poor. The epidemiology and risk factors of soccer-related injuries among Rwandan high school soccer players demonstrates the need for urgent implementation of prevention programmes. There is a clear need for education as part of the injury prevention and mangement programmes.
Correlating HRMAS NMR Spectroscopy and Gene Analysis in OA Cartilage

Osteoarthritis (OA) is a common multifactorial and heterogeneous degenerative joint disease, and biochemical changes in cartilage matrix occur during the early stages of OA before morphologic changes occur. Thus, it is desired to measure regional biochemical changes in the joint. High-resolution magic angle spinning (HRMAS) NMR spectroscopy is a powerful method of observing cartilaginous biochemical changes ex vivo, including the concentrations of Alanine and N-acetyl, which are markers of collagen and total proteoglycan content, respectively. Previous studies have observed significant changes in chondrocyte metabolism of OA cartilage via the altered gene expression profiles of ACAN, COL2A1, and MMP13, which encode aggrecan, type II collagen, and matrix metalloproteinase 13 (a protein crucial in degrading type II collagen), respectively. Employing HRMAS, this study aimed to elucidate potential relationships between N-acetyl and/or Alanine and ACAN, COL2A1, and/or MMP13 expression profiles in OA cartilage. Thirty samples from the condyles of five subjects undergoing total knee arthroplasty to treat OA were collected. HRMAS spectra were obtained at 11.7 T for each sample. RNA was subsequently extracted to determine gene expression profiles. A significant negative correlation between N-acetyl metabolite and ACAN gene expression levels was observed; this provides further evidence of N-acetyl as a biomarker of cartilage degeneration. The Alanine doublet was distinguished in the spectra of 15 of the 30 specimens of this study. Alanine can only be detected with HRMAS NMR spectroscopy when the collagen framework has been degraded such that Alanine is sufficiently mobile to form a distinguished peak in the spectrum. Thus, HRMAS NMR spectroscopy may provide unique localized measurements of collagenous degeneration in OA cartilage. Identifying imaging markers that could provide a link between OA pathology and chondrocyte metabolism will facilitate the development of more sensitive diagnostic techniques and will improve methods of monitoring treatment for patients suffering from OA.
Antagonistic potentiality of six wheat rhizosphere fungi against leaf blight pathogen Bipolaris sorokiniana (Sacc.) Shoemaker

Six wheat rhizosphere fungi (Aspergillus flavus, A. fumigatus, A. niger, Penicillium sp., Trichoderma harzianum and T. viride) were evaluated for their antagonistic potentiality towards sixteen isolates of Bipolaris sorokiniana (Sacc.) Shoemaker under different cultural groups. Colony interaction using duel culture technique, inhibition owing to volatile and non-volatile substances in different concentrations were performed. Among them Trichoderma harzianum showed the best performance (colony interaction 61.69-79.02%, volatile substances 44.14-61.34% and non-volatile culture filtrate 47.28-68.14% at 20% concentration) to control Bipolaris sorokiniana followed by Trichoderma viride, Aspergillus niger, Aspergillus flavus, A. fumigatus and Penicillium sp. Bioresearch Commu. 8(2): 1124-1131, 2022 (July)
Fully Distributed Dynamic Edge-Event-Triggered Current Sharing Control Strategy for Multibus DC Microgrids With Power Coupling

Although the current sharing control of dc microgrids has been widely studied, the high communication bandwidth and global communication network structure information demands hander the renewable energy consumption. Thus, this article proposes a fully distributed dynamic edge-event-triggered current sharing control strategy for multibus dc microgrids with power coupling. First, the system model with power coupling is built, which is further switched to the linear heterogeneous multiagent systems with unknown disturbance. It is an indispensable preprocessing for controller design. Furthermore, the fully distributed current sharing control strategy is proposed through adaptive coupling weights. Note that the global communication network structure information demand is eliminated. Moreover, the fully distributed dynamic edge-event-triggered mechanism is proposed to reduce communication bandwidth. Compared with the previous dynamic event-triggered mechanisms applied into dc microgrids, the continuous communication between neighboring agents is avoided, and controller updating frequency is reduced. Finally, the simulation and experimental results verify the proposed control performance.
HEAL: A Knowledge Graph for Distress Management Conversations

The demands of the modern world are increasingly responsible for causing psychological burdens and bringing adverse impacts on our mental health. As a result, neural conversational agents with empathetic responding and distress management capabilities have recently gained popularity. However, existing end-to-end empathetic conversational agents often generate generic and repetitive empathetic statements such as "I am sorry to hear that", which fail to convey specificity to a given situation. Due to the lack of controllability in such models, they also impose the risk of generating toxic responses. Chatbots leveraging reasoning over knowledge graphs is seen as an efficient and fail-safe solution over end-to-end models. However, such resources are limited in the context of emotional distress. To address this, we introduce HEAL, a knowledge graph developed based on 1M distress narratives and their corresponding consoling responses curated from Reddit. It consists of 22K nodes identifying different types of stressors, speaker expectations, responses, and feedback types associated with distress dialogues and forms 104K connections between different types of nodes. Each node is associated with one of 41 affective states. Statistical and visual analysis conducted on HEAL reveals emotional dynamics between speakers and listeners in distress-oriented conversations and identifies useful response patterns leading to emotional relief. Automatic and human evaluation experiments show that HEAL's responses are more diverse, empathetic, and reliable compared to the baselines.