Miracle-dz/UniFAR-FTUs huggingface dataset:
Context matters: Sociocultural considerations in the design and implementation of community-based positive psychology interventions in sub-Saharan Africa

Scholars conducting cross-cultural research in mental health often import intervention programs found to be efficacious in one social context (e.g., Western) and directly implement them in other contexts (e.g., African and Asian) without recourse to the sociocultural disparities between the target populations and the theoretical foundations of the constructs and principles underpinning the intervention programs. Such efforts mistakenly assume that positive psychology interventions (PPIs), most of which were developed from Western perspectives and assumed individualistic cultural orientation and value systems, operate equally across all contexts. Drawing on the extant literature and on insights from designing, implementing, and evaluating group-based (mental) health behavior change intervention programs across several communities in Ghana, we discuss some sociocultural, theoretical, and methodological issues that can significantly constrain the design, uptake, and effectiveness of PPIs in the rural, low literate, socioeconomically disadvantaged, highly collectivistic context of Ghana, and sub-Saharan Africa more generally. In all illustrations, we offer suggestions to guide the design and implementation processes to ensure culturally appropriate, highly acceptable, and potentially effective intervention programs. We argue that PPIs can be potentially fructuous in the sub-region when adapted to, or embedded in, the cultural values of the target population and tailored to the needs, capacities, and circumstances of participants.
Atypical glandular cells and development of cervical cancer: Population‐based cohort study

The effect of cervical screening on cervical adenocarcinoma has been variable, possibly because the risk associated with the precursor atypical glandular cells (AGC) is not well known. A cohort of all 885 women in the capital region of Sweden with AGC, a concomitant human papillomavirus (HPV) analysis, and a histopathology was followed until 2019. Cumulative incidence proportions of cervical intraepithelial lesion grade 3 or worse (CIN3+) by HPV type was determined by 1‐Kaplan‐Meier estimates. Hazard ratios (HR) for CIN3+ or for invasive cancer were estimated with Cox regression. After 2 years of follow‐up, the cumulative incidence proportions of CIN3+ were 80% (95% confidence interval [CI]: 74‐86%), 58% (95% CI: 50‐60%) and 10% (95% CI: 5‐18%) among HPV16/18 positive, “other HPV” positive and HPV‐negative women, respectively. Among the 300 women with HPV16/18 positive AGC, 217 developed CIN3+ of which 35 were invasive cervical cancer. The 2‐year cumulative invasive cancer risk for HPV16/18 positive AGC was 17% (95% CI: 12‐24%). Primary HPV‐screening had a similar yield of CIN3+ as cytology screening, albeit HPV‐negative AGC is by design not detected by HPV screening. Among 241 women with HPV‐negative AGC, 11 developed CIN3+ mostly after clinically indicated samples. We found no significant risk differences depending on age or sampling indication. The low CIN3+ risk after HPV‐negative AGC implies safety of primary HPV screening. The high risk of invasive cervical cancer after HPV16/18 positive AGC implies that management of this finding is a priority in cervical screening.
Application of visible light active photocatalysis for water contaminants: A review

Organic water pollutants are ubiquitous in the natural environment arising from domestic products as well as current and legacy industrial processes. Many of these organic water pollutants are recalcitrant and only partially degraded using conventional water and wastewater treatment processes. In recent decades, visible light active photocatalyst has gained attention as a non‐conventional alternative for the removal of organic pollutants during water treatment, including industrial wastewater and drinking water treatment. This paper reviews the current state of research on the use of visible light active photocatalysts, their modified methods, efficacy, and pilot‐scale applications for the degradation of organic pollutants in water supplies and waste streams. Initially, the general mechanism of the visible light active photocatalyst is evaluated, followed by an overview of the major synthesis techniques. Because few of these photocatalysts are commercialized, particular attention was given to summarizing the different types of visible light active photocatalysts developed to the pilot‐scale stage for practical application and commercialization. The organic pollutant degradation ability of these visible light active photocatalysts was found to be considerable and in many cases comparable with existing and commercially available advanced oxidation processes. Finally, this review concludes with a summary of current achievements and challenges as well as possible directions for further research.
Expectancy Violation Exposes the Hidden Victims of Sexual Harassment

Using expectancy violation theory as a framework, it was proposed that men and less attractive male and female targets violate the schema people hold regarding workplace sexual harassment, resulting in them being perceived as experiencing less severe harassment, being less believed, and being recommended to pursue less assertive actions. Australian workers (N = 361) aged 18–82 years completed an online questionnaire based on a hypothetical sexual harassment scenario. The findings demonstrated that expectancy violation effects were present, negatively affecting targets who did not meet the schematic norm of a sexual harassment victim, thus highlighting the difficulty and barriers associated with making and assessing organizational sexual harassment claims.
Trophic allometry in a predator that carries corpses of its prey

Ant‐snatching assassin bugs carry a 'backpack’ of ant corpses as an antipredator strategy. From photographs, we quantified the relative size and number of ants in these backpacks. We found a trade‐off between size and number of carried ants, suggesting that trophic allometry has implications beyond energy acquisition, potentially affecting camouflage.
A Tale of Two Offices: The Socioeconomic Environment’s Effect on Job Performance While Working From Home

In response to the global COVID-19 pandemic, many businesses closed their offices and asked their employees to work from home. The transition to remote work has yielded performance gains for many companies; so much so that many firms are planning to continue to use remote work after the pandemic subsides. Nevertheless, such benefits may not be distributed equally throughout the workforce. Drawing on the sociocognitive theory of socioeconomic status (SES), we predict that one’s home working environment features salient signals of their social status that affect their performance. Based on a sample of 304 remote workers from within the United States collected during the COVID-19 shutdown, we find that individuals whose home offices connote higher levels of SES report a greater sense of control over their environment, which ultimately is associated with higher levels of perceived job performance. Furthermore, we find that the more time an individual spends in their home office, the stronger the relationship between their environment-based SES and their personal sense of control. Taken as a whole, our findings suggest that because home working environments are arrayed along an SES gradient, they present another mechanism by which pre-existing inequalities may be made salient as a result of the COVID-19 pandemic.
lncRNA SNHG12 Inhibition Based on Microsystem Cell Imaging Technology Protects the Endothelium from LPS-Induced Inflammation by Inhibiting the Expression of miR-140-3p Target Gene fndc5

Acute lung injury (ALI) is a serious disease with a high incidence rate, characterized by uncontrolled inflammation and apoptosis. At present, long-chain noncoding RNA (lncRNA) is a noncoding RNA with a length of more than 200 nucleotides. It plays an important role in ALI, cell cycle regulation, cell differentiation regulation, and many other life activities. Therefore, the current focus is to identify and evaluate the possible functions and potential molecular mechanisms of lncRNA small nuclear host gene 12 (SNHG12). Lipopolysaccharide (LPS)-induced mice model and in vitro cell model were established. Gene knockout is to use the principle of DNA homologous recombination to replace the target gene fragment with the designed homologous fragment, so as to achieve the purpose of gene knockout. The relationship between lncRNA SNHG12 expression and ALI was studied through knockdown and overexpression experiments. The qRT-PCR, ROS, immunohistochemistry, histopathology, TUNEL, and cell permeability tests were performed to further verify the possible targets and mechanisms of action. The expression of lncRNA SNHG12 in lung tissue was lower than that in normal tissue. The results showed that lncRNA SNHG12 could reduce lung cell injury and inflammatory cytokines induced by ALI. Bioinformatics analysis showed that lncRNA SNHG12 interacted with miR-140-3p. Subsequent experiments confirmed the link between lncRNA SNHG12, miR-140-3p, and fndc5. Furthermore, this study indicates that lncRNA SNHG12 has a key function in ALI. The results of this study demonstrated the role of lncRNA SNHG12 in the pathological process of ALI and provided a reference for developing novel anti-ALI treatments so that patients can get timely treatment, avoid causing multiple organ failure, and will not endanger their life safety.
A Relative Study on Bitcoin Mining

This paper is a study on Bitcoin Mining process. Bitcoin mining is the method of adding transaction records to Bitcoin's community ledger of earlier period transactions or blockchain. The mining practice is used to confirm and secure transactions. This method is organized as a speed game among persons or firms – the miners – with diverse computational powers to solve a mathematical difficulty, bring a proof of work, extend their solution and attain agreement among the Bitcoin network nodes with it.
Prevalence and Antimicrobial Resistance of Bloodstream Infections Caused by ESKAPEEc Pathogens: A Five-year Analysis

Background: Antimicrobial resistance in ESKAPEEc (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, Enterobacter species, and Escherichia coli) pathogens causing bloodstream infections (BSIs) is a growing threat to clinicians and public health. Objectives: Our purpose was to determine the prevalence and susceptibility of ESKAPEEcs causing BSI over five years (2016 to 2020) at a large tertiary hospital in Istanbul, Turkey. Methods: Of 2591 unique isolates obtained from blood culture specimens, 1.281 (49.4%) were positive for ESKAPEEc pathogens. The ESKAPEEc rates increased from 2016 to 2019 and decreased during the COVID-19 pandemic. Results: The most common pathogen was K. pneumoniae (34.3%). Carbapenem resistant (CR) K. pneumoniae was 61.8% and A. baumannii was 90.4%. The percentages of methicillin-resistant S. aureus (MRSA) and vancomycin-resistant E. faecium (VRE) were 38.6% and 29.4%, respectively. Conclusions: Our findings showed a high incidence of ESKAPEEc and AMR in BSIs. Antibiotic policies and restrictions in health care settings and the community will play an essential role in the solution in the future.
Approach of Voltage Characteristics Modeling for Medium-Low-Voltage Arc Fault in Short Gaps

With the emergence of dense power due to the use of relatively low-voltage infrastructures, which are becoming more common in distribution networks, the risks related to low-voltage arc flash are drawing more attention. Arc voltage, as the critical factor in arc flash mitigation, is strongly related to the determination of insulation distance and re-striking voltage level. However, while much attention has focused on the need for hazards calculation and the selection of appropriate personal protective equipment, the physical characteristics of arc has received relatively little attention. Although some related researches have been carried out in high-voltage arc faults with long gaps, the medium–low arc faults, which have more dynamic nature, is rarely to be investigated. To comprehensively analyze the voltage characteristics of medium–low-voltage arc fault in short gaps, this paper discussed the mathematical approach for arc voltage modeling. To achieve the reliable model parameters, the magnetohydrodynamic simulation method is explored as the amendment for mathematical model. Moreover, in order to have an easy application for on-site practice, a concisely alternative model for arc voltage gradient calculation is developed. The fitting result shows the model has a good ability to accurately estimate the voltage gradient of medium–low-voltage short arc.
Sensitivity to Gravitational Waves from Compact Binary Coalescences Achieved during LIGO's Fifth and Virgo's First Science Run

We summarize the sensitivity achieved by the LIGO and Virgo gravitational wave detectors for compact binary coalescence (CBC) searches during LIGO's fifth science run and Virgo's first science run. We present noise spectral density curves for each of the four detectors that operated during these science runs which are representative of the typical performance achieved by the detectors for CBC searches. These spectra are intended for release to the public as a summary of detector performance for CBC searches during these science runs.
Answer to a question by Fujita on Variation of Hodge Structures

We first provide details for the proof of Fujita's second theorem for K\"ahler fibre spaces over a curve, asserting that the direct image $V$ of the relative dualizing sheaf splits as the direct sum $ V = A \oplus Q$, where $A$ is ample and $Q$ is unitary flat. Our main result then answers in the negative the question posed by Fujita whether $V$ is semiample. In fact, $V$ is semiample if and only if $Q$ is associated to a representation of the fundamental group of $B$ having finite image. Our examples are based on hypergeometric integrals.
A Systematic Review and Meta-Analysis of Resistance Training on Quality of Life, Depression, Muscle Strength, and Functional Exercise Capacity in Older Adults Aged 60 Years or More

Background Aging is generally associated with numerous metabolic and physical changes that augment susceptibility to several chronic conditions, disability, and diminished quality of life. Objective The purpose of this meta-analysis was to investigate the efficacy of resistance training on quality of life, depression, muscle strength, and functional exercise capacity in older adults (≥60 years). Data sources A systematic search was conducted in PubMed, MEDLINE, Cochrane, Google Scholar, and Scopus up to December 20, 2021. Results 21 studies (N = 1610) were included. Resistance training significantly improved physical functioning (standard mean differences (SMD), 0.31; p = 0.02), mental health (SMD, 0.44; p = 0.001), bodily pain (SMD, −0.52; p = 0.004), general health (SMD, 0.43; p = 0.002), social functioning (SMD, 0.25; p = 0.006), and mental component score (SMD, 0.51; p = 0.001) subscales. Moreover, depression (SMD, −1.13; p = 0.01), upper-limb muscle strength (mean difference (MD), 15.26 kg; p = 0.002), lower-limb muscle strength (MD, 48.46 kg; p = 0.02), and handgrip muscle strength (MD, 1.35 kg; p = 0.003) significantly improved following resistance training. No benefits were found for vitality, physical component score, total score of quality of life, and the 6-min walk distance. Conclusion Preliminary evidence reveals that resistance training can be effective for improving most domains of quality of life, upper- and lower-limb muscle strength, handgrip strength, and depression in aged people. More proof is hence needed to draw solid conclusions.
On interval Branch-and-Bound algorithm for additively separable functions with one common variable

Interval Branch-and-Bound algorithms are powerful methods which aim for guaranteed solutions of Global Optimization problems. The computational effort to reach this aim increases exponentially with the problem dimension in the worst case. For separable functions this effort can be less as lower dimensional subproblems can be solved individually. We investigate possibilities to design specific methods for cases where the objective function can be considered separable, but common variables occur in the subproblems. As initial research we tackle the case where the problem can be decomposed in two additively separable functions with just one variable in common.
Cirrhotic Cardiomyopathy: The Interplay Between Liver and Heart

Cardiac vascular dysfunction was described years ago in alcohol-associated liver cirrhosis and recently became known as cirrhotic cardiomyopathy (CCM) in 2005. Cirrhotic cardiomyopathy is a specific cardiac dysfunction estimated to be prevalent in half of the liver cirrhosis patient population; it comprises a triad of impaired myocardial contractile responses to stress (systolic dysfunction), inadequate ventricular relaxation, and electrophysiological abnormalities. This review describes the various pathophysiological mechanisms connecting liver cirrhosis to the alterations seen in CCM and briefly mentions the role of the cardiovascular system in connecting the pathophysiology of hepatorenal syndrome (HRS). Insertion of the transjugular intrahepatic portosystemic shunt (TIPS) and liver transplantation exacerbates the underlying cardiac dysfunction leading to signs and symptoms of heart failure. This article also focuses on the clinical importance of diagnosing CCM and the limitations existing around traditional diagnostic criteria based on transmitral flow parameters. It highlights newer parameters proposed by the Cirrhotic Cardiomyopathy Consortium to obtain a diagnosis of CCM. Liver transplantation is the only treatment available to cure CCM.
Asset pricing in global scenario: a bibliometric analysis

PurposeThis study aims to organise and present the development of asset pricing models in the international environment. The stock market integration and cross-listing lead us to another objective of bibliometric analysis for “International Asset Pricing” to provide a complete overview and give scope and directions for future research.Design/methodology/approachWeb of Science database is used to search with “International Asset Pricing. ” Of 3,438 articles, 2,487 articles are selected for the final bibliometric analysis. Various research such as citation analysis, keyword analysis, author’s and corresponding author's analysis have been conducted.FindingsThe bibliometric analysis finds that the USA comes out to be the country where the maximum research was conducted on the topic. The keyword analysis was also analysed to evaluate the significant areas of the research. Risk, return and international asset pricing are the most frequently used keywords. The year 2020 has the maximum number of published research articles and citations due to the change in the market structure worldwide and the effect of Covid-19 across the world.Originality/valueThe present paper provides the collection, classification and comprehensive analysis of “International Asset pricing,” which may help the academicians, researchers and practitioners for future research for the relevant subject area.
Forecasting of Health Sector Stock Prices During Covid-19 Pandemic Using Arima And Winter Methods

This study aims to compare the accuracy of the ARIMA and WINTER methods in forecasting or predicting the daily stock price of the health sector. The data used in this study is secondary data in the form of historical data on the daily share price of PT. Darya Varia Laboratori, PT. Indofara Persero, PT. Kimia Farma, PT. Kalbe Farma, and PT. Merck Indonesia from March 14, 2020 to April 14, 2021. From the results of the research, PT. Kimia Farma is suitable to use the ARIMA (1, 0, 1) model, while others use the Additive and Multiplicative WINTER method. The daily stock price predictions of the five issuers from April 14, 2021 to July 15, 2021 tend to increase. This is presumably because investors tend to increase their capital due to the effect of health protocols that are getting tighter during the second wave and the assumption is that when the level of virus spread has begun to decline, the health sector shares will continue to rise, although not significantly.
Dynamic Modeling of a Two Wheeled Vehicle

This paper presents a motorcycle direct dynamic formulation by the Jourdain’s principle approach. This vehicle is considered as an assembly of six rigid bodies and the resulting equation of motion allows to simulate 11 Degrees of Freedom (DoF). The vehicle geometry is described and a step by step procedure is introduced to evaluate the kinematics and the generalized efforts of the considered vehicle. In addition, to simulate the equation of motion, a Lyapunov based stabilization is developed to assess the vehicle behavior i n response to a propulsion/braking torque applied on the vehicle’s wheels and a ri der torque exerted on the motorcycle’s handlebar. Simulation results reveal som e dynamics features like load transfer and counter-steering phenomena.
Reliability‐based offloading strategy for deadline‐constrained taskflows in vehicular edge computing environments

Vehicular edge computing (VEC) offers a new paradigm for improving vehicular services and enhancing vehicle capabilities. In the VEC environments, vehicles can offload tasks to edge servers deployed in roadside units or other vehicles via wireless networks to enhance their computation capability. However, the high mobility of vehicles will lead to constant change of the network topology among resources, which will affect the completion time and the reliability of offloaded tasks. Therefore, we proposes a reliability‐based offloading strategy by considering task attributes, resource state, completion time, and reliability to map task flows to resources that can satisfy the time constraints with high reliability. The experimental results show that, compared with existing typical algorithms, the proposed strategy not only reduces the average completion time of tasks, but also ensures the reliability of tasks.
Análisis y caracterización de guías corrugadas de onda lenta para aplicaciones de modulación electro-óptica en silicio.

We demonstrate experimentally the passive performance of the slow-wave structures. Corrugated waveguides are characterized on 220 nm thick silicon wafer in order to validate their theoretically achievable slow wave features, expected to improve the performance of a modulator. The spectral responses of a variety of corrugated waveguides are worked out so as to evaluate both group velocity spectral dependence and potential loss penalty. Autor: Gutiérrez Campo, Ana Ma, email: angucam@ntc.upv. es Director 1: Sanchis Kilders, Pablo, email: pabsanki@ntc.upv. es Fecha de entrega: 26-11-10 3 Análisis y caracterización de guías corrugadas de onda lenta para aplicaciones de modulación electro-óptica en silicio