Miracle-dz/UniFAR-FTUs huggingface dataset:
Coping With COVID-19: The Benefits of Anticipating Future Positive Events and Maintaining Optimism

In early 2020, the COVID-19 pandemic forced a large portion of the world into quarantine, leading to an extensive period of stress making it necessary to explore regulatory techniques that are effective at stimulating long-lasting positive emotion. Previous research has demonstrated that anticipating positive events produces increases in positive emotion during discrete stressors. We hypothesized that state and trait positive anticipation during the COVID-19 pandemic would be associated with increased positive emotions. We assessed how often participants thought about a future positive/negative/neutral event, activity, or goal through a daily reconstruction method that represented a “day in the life” of people in the United States during the early stages of the COVID-19 pandemic. The results of multi-level modeling and mediational analyses demonstrated that higher optimism, one form of trait positive anticipation, was related to higher state positive anticipation, which was in turn related to higher positive emotions during the current episode, which persisted to the next episode. In addition, both optimism and state positive anticipation were related to adaptive responses to the pandemic. These findings suggest that anticipation of future emotional experiences and hopefulness for the future can be a powerful predictor of positive emotions during global pandemics and perhaps other similar chronic stressors.
The Psychological Impact of COVID-19 on Healthcare Providers in Obstetrics: A Cross-Sectional Survey Study

Objective: To assess the psychological distress of healthcare providers (HCPs) working in the field of obstetrics during the coronavirus disease 2019 (COVID-19) pandemic and to identify factors associated with psychological distress at the individual, interpersonal, and organizational level. Design: Cross-sectional survey study. Setting: Four University hospitals in Italy. Participants: HCPs working in obstetrics, including gynecologists, residents in gynecology and obstetrics, and midwives. Methods: The 104-item survey Impatto PSIcologico COVID-19 in Ostetricia (IPSICO) was created by a multidisciplinary expert panel and administered to HCPs in obstetrics in May 2020 via a web-based platform. Main Outcome Measures: Psychological distress assessed by the General Health Questionnaire-12 (GHQ-12) included in the IPSICO survey. Results: The response rate to the IPSICO survey was 88.2% (503/570), and that for GHQ-12 was 84.4% (481/570). Just over half (51.1%; 246/481) of the GHQ-12 respondents reported a clinically significant level of psychological distress (GHQ-12 ≥3). Psychological distress was associated with either individual (i.e., female gender, stressful experience related to COVID-19, exhaustion, and the use of dysfunctional coping strategies), interpersonal (i.e., lower family support, limitations in interactions with colleagues), and organizational (i.e., reduced perception of protection by personal protective equipment, perceived delays on updates and gaps in information on the pandemic) factors in dealing with the pandemic. Conclusions: Results confirm the need for monitoring and assessing the psychological distress for HCPs in obstetrics. Interventions at the individual, interpersonal, and organizational level may relieve the psychological distress during the COVID-19 pandemic and foster resilience skills in facing emotional distress.
Role of Optical Neuromonitoring in Neonatal Encephalopathy—Current State and Recent Advances

Neonatal encephalopathy (NE) in term and near-term infants is a significant global health problem; the worldwide burden of disease remains high despite the introduction of therapeutic hypothermia. Assessment of injury severity and effective management in the neonatal intensive care unit (NICU) relies on multiple monitoring modalities from systemic to brain-specific. Current neuromonitoring tools provide information utilized for seizure management, injury stratification, and prognostication, whilst systemic monitoring ensures multi-organ dysfunction is recognized early and supported wherever needed. The neuromonitoring technologies currently used in NE however, have limitations in either their availability during the active treatment window or their reliability to prognosticate and stratify injury confidently in the early period following insult. There is therefore a real need for a neuromonitoring tool that provides cot side, early and continuous monitoring of brain health which can reliably stratify injury severity, monitor response to current and emerging treatments, and prognosticate outcome. The clinical use of near-infrared spectroscopy (NIRS) technology has increased in recent years. Research studies within this population have also increased, alongside the development of both instrumentation and signal processing techniques. Increasing use of commercially available cerebral oximeters in the NICU, and the introduction of advanced optical measurements using broadband NIRS (BNIRS), frequency domain NIRS (FDNIRS), and diffuse correlation spectroscopy (DCS) have widened the scope by allowing the direct monitoring of oxygen metabolism and cerebral blood flow, both key to understanding pathophysiological changes and predicting outcome in NE. This review discusses the role of optical neuromonitoring in NE and why this modality may provide the next significant piece of the puzzle toward understanding the real time state of the injured newborn brain.
Paraneoplastic Neurological Syndromes and Beyond Emerging With the Introduction of Immune Checkpoint Inhibitor Cancer Immunotherapy

Paraneoplastic neurological syndromes are more commonly seen with malignancies such as small cell lung cancer, thymoma, gynecological malignancies, and breast cancer as well as seminoma. With the introduction of immune checkpoint inhibitor (ICI) cancer immunotherapy we see an increase of autoimmune neurological complications in patients with malignancies not traditionally associated with paraneoplastic neurological syndromes, such as melanoma and renal cell carcinoma. Immune checkpoint inhibitors enhance antitumor immune responses resulting often in immune-related adverse effects that can affect any organ, including the central and peripheral nervous system, neuromuscular junction and muscle. Neurological complications are rare; neuromuscular complications are more common than central nervous system ones but multifocal neurological presentations are often encountered. The vast majority of neurological complications appear within 3 months of ICI initiation, but have been described even after ICI cessation. Neural autoantibody testing reveals autoantibodies in approximately half of the patients with CNS complications. Early suspicion and diagnosis is critical to avoid worsening and improve outcomes. Therapeutic strategies depend on the severity of the symptoms and initially typically involve discontinuation of ICI and high dose steroids. Further immunosuppression might be necessary. Outcomes are dependent on patient's characteristics and clinical presentations.
Catalytic hydrocracking of Kapuk seed oil (Ceiba pentandra) to produce biofuel using Zn-Mo supported HZSM-5 catalyst

In the present paper Kapuk seed oil (KSO) was considered as a potential biofuel for alternative fuel from inedible oil. Catalytic hydrocracking of Kapuk seed oil using Zn-Mo supported on the HZSM-5 catalyst in a slurry pressure batch reactor at various temperature with reactor pressure in range 10-15 bar. The Zn-Mo/HZSM-5 catalyst was prepared by incipient wetness impregnation. The physicochemical properties of the catalyst were investigated by X-ray diffraction (XRD), scanning electron microscopy (SEM) and Brunauer-Emmett-Teller (BET) method. The best catalyst performance on catalytic hydrocracking of KSO using Zn-Mo/HZSM-5 (Si/Al = 25) with loading 2.92%wt for Zn and 7.55%wt for Mo. It displayed the highest hydrocarbon content decarboxylation and/or decarbonylation were 35.51 area% of n-paraffins and the highest content for gasoil-range alkanes was 17.24 area% at 4000C. The liquid product predominant is n-C15, and the second component is n-C17. The catalyst Zn-Mo/HZSM-5 was helpful for the catalytic hydrocracking of KSO for hydrocarbon biofuel production.
Extraction and Content Determination of Total Flavonoid in Parthenocissus Quinquefolia

To study the ultrasonic extraction conditions and monitor the content of flavonids in parthenocissus quinquefolia.The orthogonal experimental method was used to determine the best conditions for extraction of flavonoids in parthenocissus quinquefolia by using ultra-sonic.The content of total flavonoid was determined by using spectrophotometry.The optimum extract of total flavonoids was obtained under the conditions of 50℃,ratio of dry parthenocissus quinquefolia leaves to solvent 1:40,ethanol concentration 50% and for 60min.With the optimized technologyt,he content of total flavonoids in the final product was 4.07%. Flavonids content of parthenocissus quinquefolia is high,which is of important significance for the further development and utilization of the biological active component in parthenocissus quinquefolia.
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Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings This paper established the relationship between open innovation, risk management, competitive advantage and organizational strategy. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.
The Economic Complexity Index (ECI) and output volatility: High vs. low income countries

ABSTRACT In this study, we explore whether more complex economies are better shielded against exogenous shocks. We contribute to the literature on determinants of output volatility with a relatively new index on productive capabilities of export goods, the Economic Complexity Index (ECI), developed by Hausmann et al. [Hausmann, R. , C. A. Hidalgo, S. Bustos, M. Coscia, A. Simoes, and M. A. Yildirim. 2014. The Atlas of Economic Complexity: Mapping Paths to Prosperity. MIT Press]. The ECI measures the productive capabilities of countries by explaining the knowledge accumulated in a population based on the goods produced and exported and to which countries they export. Therefore ECI captures diversification as well as the technology embedded in the products. Using panel data analysis for a cross section of countries from 1984 to 2016, we find variations in the effects of ECI on output volatility between high and low income countries. For high income countries, increases in ECI reduce output volatility in the short to medium term with a longer delay in output volatility moderation for low income countries. Findings suggest that low income countries have less diversified and less complex export goods which leave them open to external shocks and reduce their ability to adjust quickly to the shocks. Furthermore, disaggregation by regions reveals that economic complexity in Asia is relatively more effective at reducing output volatility than in Africa.
An Analysis of Intellectual Capital in the Disruptive Technology Era: Are Accountants’ Mindsets Ready for It?

This study aims to assess the effect of information technology on intellectual capital, with organisational learning as a mediating variable, meanwhile, also considering the influence of a mindset upon the public accounting firms in Indonesia. The data was obtained through questionnaires, which were distributed to public accounting firms in Indonesia. The data was subsequently processed using the structural equation model. The respondents were limited to those residing on Java Island. The results show that information technology and organisational learning are favourable in the formation of intellectual capital in public accounting firms. It is confirmed that organisational learning can be a mediating variable in the relationship between information technology and intellectual capital. Moreover, mindset, as a moderating variable, mitigates the influence of information technology upon intellectual capital. The results imply that without a growth mindset, technology is unable to create organizational learning and intellectual capital. Technology offers a change, and only people with a growth mindset can make changes.
A Cluster Transmission of Coronavirus Disease 2019 and the Prevention and Control Measures in the Early Stage of the Epidemic in Xi’an, China, 2020

Background At the beginning of the COVID-19 pandemic, a cluster outbreak caused by an imported case from Hubei Province was reported in Xi’an City, Shaanxi Province, China. Ten patients from 2 families and 1 hospital were involved in the transmission. Material/Methods We conducted an epidemiological investigation to identify the cluster transmission of COVID-19. The demographic, epidemiological, clinical, laboratory, and cluster characteristics were described and analyzed. Results From January 27 to February 13, 2020, a total of 10 individuals were confirmed to be infected with SARS-CoV-2 by the nucleic acid testing of nasopharyngeal swabs from 2 families and 1 hospital. Among the confirmed cases, 7 had atypical clinical symptoms and 3 were asymptomatic. The median times from onset to diagnosis and to discharge were 3.5 days (range, 1–5 days) and 19.5 days (range, 16–38 days), respectively. There were 4 patients whose exposure dates were 1, 3, 3, and 2 days earlier than the onset dates of their previous-generation cases, respectively. Four prevention and control measures were effectively used to interrupt the disease transmission. Conclusions SARS-CoV-2 can be easily transmitted within families and in hospitals, and asymptomatic patients could act as a source of disease transmission. The results of this outbreak at the early epidemic stage support the recommendation that individuals with confirmed COVID-19 and all their close contacts should be subjected to medical quarantined observation and nucleic acid screening as early as possible, even if they do not have any symptoms. Meanwhile, people in high-risk areas should improve their protective measures.
An Examination of Predictors of Counterproductive Work Behaviors: Personality Traits and Transformational Leadership

AN EXAMINATION OF PREDICTORS OF COUNTERPRODUCTIVE WORK BEHAVIORS: PERSONALITY TRAITS AND TRANSFORMATIONAL LEADERSHIP by Edward Hsi Counterproductive work behavior (CWB) has constantly been a problem in companies, with research showing that the phenomenon is costly both monetarily to organizations and psychologically to their employees. However, there are many antecedents of CWB, including individual factors and situation factors, that have been found to reduce such behaviors. The present study examined both individual (i.e., personality) and situational factors (i.e., transformational leadership) in predicting CWBs directed at both individuals and organizations. Specifically, this study examined whether three personality traits (i.e., agreeableness, neuroticism and conscientiousness) and transformational leadership would predict CWBs, and whether transformational leadership would predict CWBs above and beyond these three personality traits. A total of 115 individuals working in a variety of industries participated in an online survey. Results showed that although agreeableness and conscientiousness predicted CWB directed at the organization, transformational leadership was able to predict CWBs directed toward organizations as well as individuals above and beyond the personality traits. These findings suggest that in order to mitigate CWBs, organizations should implement transformational leadership training programs rather than rely on personality-based selection methods.
ALAN MICHEL BEZERRA FURTUNATO CARACTERIZAÇÃO ELETROFISIOLÓGICA DAS OSCILAÇÕES DELTA E TETA DO HIPOCAMPO DORSAL DE RATOS DURANTE LOCOMOÇÃO EM ESTEIRA

The hippocampal theta rhythm (6-10 Hz) has been extensively studied since the 1950’s. These researches have shown that the theta rhythm is involved with cognitive functions, sensorymotor integration, paradoxical sleep and locomotion. As reported by many works, power and frequency variations of hippocampal theta oscillations are associated with the speed of locomotion and with the intensity of execution of a motor program. At the same time, the delta rhythm (0.5-4 Hz) is commonly observed on the slow-wave sleep, inactivity behaviors and anesthesia. These slow frequency oscillations allow the exchange of information between neuronal assemblies across distant brain areas, and both the theta and delta rhythms are largely present in multiple cortical and subcortical regions. In the rat hippocampus, these oscillations occur in an antagonistic way and are classically used to define the active and inactive hippocampus. Being the delta rhythm characteristic of the inactive estate, during the slw wave sleep and awareness immobility; And the theta rhythm characteristic of the active hippocampus, occurring on REM sleep e mainly, during locomotion. In this way, the delta and theta coexistence on the rat hippocampus was not studied along the literature, and the theta/delta ratio is commonly used to define active and inactive periods on especial tasks. However, from an indication found in the literature, in the present work, we studied the dynamics of theta and delta oscillations in the CA1 area of the dorsal hippocampus of rodents through two distinct locomotion protocols on treadmill. In the first manuscript, we took data from the electrophysiological recordings from 3 long-evans male rats submitted to 11 sessions (n=11) of 35 runnings of 15 s at the constant speed of 30 cm/s on a treadmill. The analysis showed, respectively, an increase and a decrease of the delta and theta power across the 35 runnings.
Improving LUT count of FPGA-based sequential blocks

Very often, a digital system includes sequential blocks which can be represented using a model of the finite state machine (FSM). It is very important to improve such FSM characteristics as the number of used logic elements, operating frequency and consumed energy. The paper proposes a novel technology-dependant design method targeting LUT-based Mealy FSMs. It belongs to the group of structural decomposition methods. The method is based on encoding the product terms of Boolean functions representing the FSM circuit. To diminish the number of LUTs, a partition of the set of internal states is constructed. It leads to three-level logic circuits of Mealy FSMs. Each function from the first level requires only a single LUT to be implemented. The method of constructing the partition with the minimum amount of classes is proposed. There is given an example of FSM synthesis with the proposed method. The experiments with standard benchmarks were conducted. They show that the proposed method can improve such FSM characteristics as the number of used LUTs. This improvement is accompanied by a decrease in performance. A positive side effect of the proposed method is a reduction in power consumption compared with FSMs obtained with other design methods.
A Novel TNM Classification for Colorectal Cancers based on the Metro-ticket Paradigm

Background: Several revisions of the TNM classifications for colorectal cancer (CRC) have acknowledged that the oncological outcomes of stage IIB/IIC CRC are worse than those of stage IIIA. We aimed to develop a novel TNM (nTNM) classification based on the metro-ticket paradigm. Methods: We identified eligible CRC patients from the Surveillance, Epidemiology, and End Results database. The nTNM was developed using distance from the origin on a Cartesian plane incorporating the pN (x-axis) and pT (y-axis) stages, and was compared with the AJCC TNM classification. The areas under the curves (AUCs), calibration curves, and Akaike's information criterion (AIC) were used to evaluate the predictive performances of the two classifications. Clinical benefits were further estimated by decision curve analyses. The validation cohort was applied to validate these findings. Results: A total of 58,192 CRC patients (40,736 training cohort, 17,456 validation cohort) were finally included. In the training cohort, 18,476 patients (45.4%) experienced upstaging and 15,907 patients (39.0%) experienced downstaging in the nTNM classification compared with the TNM classification. Taking the prognosis of stage I as the reference, survival decreased with increasing nTNM stage. The nTNM classification showed better discrimination (AUC, 0.678 vs. 0.667, P<0.001), model-fitting (AIC, 236,525 vs. 237,741), and clinical benefits than the TNM classification. Similar results were found in the validation cohort. Conclusions: The nTNM classification for CRC has better predictive performances and superior accuracy for predicting prognosis compared with the TNM classification. The nTNM classification should therefore be considered in future revisions of the TNM classification.
PCHIRU SHELNI: COURTSHIP OR SEXUAL COERCION IN RURAL BHUTAN?

This article takes a critical look at the practice of Pchiru Shelni in rural Bhutan. Pchiru Shelni is a local term for a traditional practice of courtship. The process involves men having sexual relations with women by stealth, with or without consent, typically by sneaking into a woman’s bed or breaking into their houses under the cover of darkness. There has not been detailed research on the practice except for a small study conducted on the subject within the context of courtship. With this first ever qualitative investigation of the practice, this article argues that Pchiru Shelni practice involves both courtship practices and other elements of gender violence against women such as sexual coercion and sexual aggression.
Non-genetic effects and repeatability estimates of post-thaw evaluation traits in Murrah buffalo bulls

The present study aims to determine the effect of non-genetic factors on post-thaw evaluation traits and estimate the traits repeatability and correlation coefficients in Murrah buffalo bulls. The data on postthaw incubation survival (n=1745), hypo-osmotic swelling (n=1745), and acrosome integrity (n=1402) collected from 73 bulls maintained during the period 2005 to 2015 were used for analyses. Single trait univariate analyses under General Linear Model were performed to study the non-genetic effects. The repeatability was estimated by Restricted Maximum Likelihood Method (REML) using WOMBAT programme while the correlation coefficients were calculated using Pearson's correlation coefficient. The overall least-squares means for post-thaw incubation survival (at four-time intervals), hypo-osmotic swelling, and acrosome integrity were 52.42% at 0 h, 45.44% at 1⁄2 h, 37.87% at 1h and 29.82% 11⁄2 h; 61.71% and 69.81%, respectively. Similarly, the repeatability estimates were 0.03 at 0 h, 0.02 at 1⁄2 h, 0.03 at 1 h, and 0.03 at 11⁄2 h; 0.44 and 0.64, respectively. The ejaculate number, period, season, and age showed a significant effect (P<0.01) on all traits, besides the non-significant effect of ejaculate on acrosome integrity and age on hypo-osmotic swelling. The performance of traits was relatively better in the second ejaculate and bulls in the age group of 68 months and above. However, a significant minimal variation was observed among the periods and seasons. The correlation coefficients were highly significant (P<0.01) and positive for all traits except the negative correlation between hypo-osmotic swelling and acrosome integrity. Thus, this would be helpful to determine the breeding efficiency of the bulls and plan suitable improvisation strategies in the semen station.