Miracle-dz/UniFAR-FTUs huggingface dataset:
Very cool white LED light improves reproductive performance and up-regulates expression of reproductive genes in layers

: This study was carried out to evaluate the effect of light color temperature on reproductive performance and the expression pattern of GnRH-1 and FSH β genes in layers. At lay, 165 Fayoumi healthy pullets were separated into well ventilated, environmentally controlled rooms. Birds were allocated into three groups with 55 birds each (5 males and 50 females) till 3 months after laying, representing base generation (F0). Fertile eggs were collected and incubated, and the newly hatched chicks were also divided into three groups from the first day of life till 3 months after laying, representing the first generation (F1). In the two generations, the first group was exposed to cool white LED light (day light) (6500 kelvin); the second group was exposed to very cool white LED light (sky blue light) (10000 kelvin); and the third group was exposed to warm white LED light (yellow light) (2700 kelvin). The expression profiles of GnRH-1 and FSH β genes and the serum level of FSH were evaluated in birds of the two generations. Blue light-exposed groups exhibited better reproductive performance, higher up-regulation of GnRH-1 and FSH β genes and increased FSH levels than those exposed to either the white or yellow light colors. A comparison between F0 and F1 revealed an improved profile for F1 birds. It therefore appears that blue LED light could improve the reproductive status of laying chickens.
Building Information Modeling Deployment in Oil, Gas and Petrochemical Industry: An Adoption Roadmap

The implementation of Building Information Modeling (BIM) in the Architecture, Engineering and Construction (AEC) industry is growing rapidly. The Oil, Gas and Petrochemical industry (OGPi), however, is still lagging in harnessing the BIM capabilities. Therefore, the main question of this research is: How and what actions should be adopted for deploying BIM in the OGPi? The research is divided into three parts as an action research. This study investigates the second part, namely preparation of an adoption roadmap for deploying BIM in collaboration with Integrated Project Delivery (IPD) in the OGPi. To achieve this goal, the extensive literature review including the most established roadmaps in the AEC industry and also the semi-structured interviews with the OGPi's experts were conducted. In this part of the research, an adoption roadmap is derived for OGPi via Innovation Diffusion Theory (IDT), ‘Why, How, What’ questions (Sink model), strategic planning and innovation roadmap as well as the iterative process in the studies and interviews. The prepared roadmap validated by triangulation through focus group meetings and oils the wheels of BIM implementation alongside with IPD in the OGPi firms to grabs BIM merits and harness its challenges. Finally, the major limitations and the required future studies are addressed.
IRAQI CONSUMER OPINION OF THE QUALITY AND SAFETY OF LOCAL FOOD PRODUCTS

The aim of this research was to indicate the opinion of the Iraqi consumer about the quality and safety of local food products, the questionnaire was included 19 questions for product quality, price, distribution and promotion as a tool to survey the opinions of 128 consumers in Baghdad, the data was analyzed by using percentage, weighted mean, and weight percent, the results obtained showed that the Iraqi consumer prefer local food products for their high quality and appropriate price, however they need attention to packaging, promotion and distribution.
A Simultaneous Feature Selection and Compositional Association Test for Detecting Sparse Associations in High-Dimensional Metagenomic Data

Numerous metagenomic studies aim to discover associations between the microbial composition of an environment (e.g., gut, skin, oral) and a phenotype of interest. Multivariate analysis is often performed in these studies without critical a priori knowledge of which taxa are associated with the phenotype being studied. This approach typically reduces statistical power in settings where the true associations among only a few taxa are obscured by high dimensionality (i.e., sparse association signals). At the same time, low sample size and compositional sample space constraints may reduce beyond-study generalizability if not properly accounted for. To address these difficulties, we developed the Selection-Energy-Permutation (SelEnergyPerm) method, a nonparametric group association test with embedded feature selection that directly accounts for compositional constraints using parsimonious logratio signatures between taxonomic features, for characterizing and understanding alterations in microbial community structure. Simulation results show SelEnergyPerm selects small independent sets of logratios that capture strong associations in a range of scenarios. Additionally, our simulation results demonstrate SelEnergyPerm consistently detects/rejects associations in synthetic data with sparse, dense, or no association signals. We demonstrate the novel benefits of our method in four case studies utilizing publicly available 16S amplicon and whole-genome sequencing datasets. Our R implementation of Selection-Energy-Permutation, including an example demonstration and the code to generate all of the scenarios used here, is available at https://www.github. com/andrew84830813/selEnergyPermR.
Preliminary Power Budget Analysis for Equatorial Low Earth Orbit (LEO) Communication Satellite

Satellite Technology Center – LAPAN would develop a constellation of 9 communication satellites in a low equatorial orbit. These satellites would perform as data collection platforms for many sensors that spread across the Indonesian territory. The data from the sensors will be downlink to Indonesia’s ground stations in real-time. This research aims to analyze the power budget of those satellites to decide how many solar panels and batteries are required to perform their mission. The method in this research began by calculating the power requirements of each mission per orbit period to estimate power consumption and calculate the power generated by the solar panels. The results of these calculations will be implemented to the power system design to find the satellite solar cells/ panels arrangement and battery capacity allocation. To minimize the development time and cost, the solar array design in this study considers the utilization of previous solar panel design of LAPAN-A series satellites as a design constraint. This study shows the configuration of 3 body-mounted solar panels and 2 deployable solar panels that could support the mission operation of communication satellite in the low equatorial orbit. For energy storage, these satellites should be equipped with 28 V Li-ion in the 8Sx3P configuration.
Single Source Multi-Frequency AC-AC Converter for Induction Cooking Applications

In recent years, induction heating (IH) applications aided by electronic power control have gained significance. Particularly, for cooking applications, an appropriate control technique is required to feed power from a single source to multiple loads with minimum switching losses. Additionally, when multiple loads are used, it requires independent control and operation for each of the loads. The main idea of this work is to develop a single-stage AC-AC converter topology to feed power to multiple loads independently with a single source, with a reduced number of switching devices and with minimum switching losses. The proposed topology uses a frequency bifurcation concept to feed power to multiple loads by placing the transmitting coil and work coil at a distance of 3 cm. The source is resonated at a 25 kHz switching frequency, with the designed bifurcated frequencies of 20 kHz and 33 kHz. The resonant capacitors are appropriately chosen to operate at those frequencies. For real-time applications, simultaneous and independent power control are inevitable in multi load-fed IH applications. This is achieved through a pulse density modulation scheme with minimum switching losses. The simulation of the proposed system is performed in MATLAB/Simulink, and also the 1 kW system is validated using a PIC16F877A microcontroller. The real-time thermal variation in the load is also recorded using a FLIR thermal imager. The experimental and simulation results are observed, and the obtained efficiency of the system is plotted for various duty cycles of pulse density modulation control.
Disorganized Speech and Metacognition in Schizophrenia: Differential Relations and A Comparison of Behavioral Speech Measures

Disorganized speech is a core feature of schizophrenia. It is a key component of formal thought disorder (FTD). Recent work has tied disorganized speech to deficits in metacognition, or one’s ability to integrate experiences to form complex mental representations. In this study, we aimed to 1) explore the relationship between disorganized speech and metacognition and 2) compare trained rater and emerging automated analysis methods. Positive and Negative Syndrome Scale (PANSS) and Indiana Psychiatric Illness Interviews (IPII) were conducted; the IPII was coded for disorganized speech using the Communication Disturbances Index (CDI) and Coh-Metrix multidimensional indices. Metacognition was rated using the Metacognition Assessment Scale. We compared FTD (n = 16; PANSS conceptual disorganization ≥ 3) and non-FTD (n = 29; PANSS conceptual disorganization < 3) groups on metacognition and examined CDI and Coh-Metrix’s ability to account for variance in metacognition. We hypothesized that the FTD group would have lower metacognition and that both CDI and Coh-Metrix would account for significant variance in metacognition. Analyses indicated metacognition did not differ between groups and neither measure accounted for significant variance in metacognition. Results also showed that the CDI was able to distinguish the groups. Overall, results suggest little relationship between FTD and metacognition. Findings also indicate that trained rater measures of disorganized speech may have clinical utility in classifying FTD. Future research examining these constructs should address important limitations of this study by ensuring adequate levels of FTD in the study sample and by assessing neurocognition.
Analisis Kebijakan Pengelolaan Sampah pada Dinas Lingkungan Hidup

ABSTRACT The purpose of this study is to find out how the implementation of waste management policies at the Bengkulu City Environmental Service. The method used in this research is descriptive qualitative. Data sources consist of primary and secondary data. The data analysis used by the researcher went through the stages of data collection, data reduction, data presentation, and data verification or validation to community leaders. The results of the study found that the implementation of the regional regulation policy No. 02 of 2011 on waste management had implemented the policy in accordance with the established standards and procedures. The implementation of waste management policies in Bengkulu City has reached the target group, but there are still obstacles such as lack of facilities and infrastructure, which have implications for the process of transporting waste. The conclusion of this study is that the analysis of waste management policies has not yet provided a socio-economic impact for the community. Keywords: Environment, Policy, Waste Management
Incentive-Driven Proactive Application Deployment and Pricing on Distributed Edges

Applications deployed on edge servers improve users’ experience, when compared to deployments on cloud servers. Existing works usually assume that a central scheduler helps in making decisions, but they are often inefficient, inaccurate, or time-consuming. In this paper, we present a proactive application deployment system, which consists of three modules (i.e., incentive, profit, and latency). Based on the architecture of a fully distributed edge network, our system includes SELL, a Spontaneous Edge depLoyment aLgorithm in the incentive module. SELL lets edge servers compete with each other in a two-stage Stackelberg game to win deployment rights, and the winners get paid for their deployment efforts. The other two modules help recursively adjust service prices and deployment intentions in view of their own profits. Simulations on the proactive edge application deployment system demonstrate that SELL can help an application provider find appropriate edge servers to deploy applications while maximizing the profits for both parties in a low latency.
Nudge and Crime – Verhaltenspsychologische und kriminologische Aspekte von Desinformation in sozialen Netzwerken am Beispiel von COVID-19

Verschiedene Gewaltdelikte der letzten Jahre – sei es in Christchurch, Hanau oder der Pizzagate-Vorfall in Washington, D.C. – haben gezeigt, wie fließend der Übergang von virtueller zu realer Gewalt ist: In all diesen Fällen wurden die Täter durch Verschwörungsmythen und Desinformation insbesondere auf Sozialen Medien zu ihren Taten motiviert. Was als Desinformation und Verschwörungsmythos seinen Anfang im Cyberund Informationsraum nimmt, endet im physischen Raum mit der Ausübung von körperlicher Gewalt. Dieser Übergang zeigt sich auch in ‚Infodemie‘ der Coronakrise. Der Kampf gegen Desinformation und Falschnachrichten ist damit von zentraler gesellschaftlicher und kriminologischer Bedeutung. Hier werden bisher erprobte Strategien aus verhaltenspsychologischer, demokratietheoretischer und kriminologischer Sicht evaluiert werden, um daraus Vorschläge für neue Ansätze zur Eindämmung der Informationskrise zu entwickeln.
Mergers in Indian public sector banks: can human resource practices ensure effective implementation of change?

PurposeThis study examines the link of effective change implementation (CIE) with select human resource (HR) practices and employees' resistance to change (RTC) amidst ongoing mergers in Indian public sector banks (PSBs). It also intends to highlight the role of RTC as a mediator in this mechanism.Design/methodology/approachThe authors used a structured questionnaire administered through a survey of employees of select PSBs that have undergone mergers. The hypothesized relationships were tested on 220 responses with structural equation modelling.FindingsTraining and communication of change as HR practices were found to have significant effects in implementing change. RTC fully mediated the relationship of training and CIE, and partially mediated the association of communication and CIE. Communication had a stronger influence on RTC than training. This finding upholds the importance of communication but also implies that training can reinforce effective communication of change and may not affect the implementation if not directed towards handling resistance.Practical implicationsThe significance of communication as a finding supports the theory of planned behaviour. The authors’ results also align with the social exchange theory and can be extended to the job demands-resources model. PSBs may plan for phase-wise training initiatives starting from the announcement till the end of a merger. PSBs also need to effectively communicate all relevant HR issues to employees, thus being transparent and fair. Both online and offline modes of communication can be explored. Overall, the senior management has to imbibe the handholding of employees in the short term and a sense of empathy in the longer term.Originality/valueResearch on HR in Indian banking mergers seems to take a back seat vis-à-vis strategic issues and financial performance. There also is a limited empirical examination of the role of HR practices in effective change implementation. This paper addresses both these issues by proposing a conceptual model and empirically validating it amidst the merger of PSBs. The authors also highlight how training and communication are effective in handling resistance to change.
Multicriteria decision frontiers for prescription anomaly detection over time

ABSTRACT Health care prescription fraud and abuse result in major financial losses and adverse health effects. The growing budget deficits of health insurance programs and recent opioid drug abuse crisis in the United States have accelerated the use of analytical methods. Unsupervised methods such as clustering and anomaly detection could help the health care auditors to evaluate the billing patterns when embedded into rule-based frameworks. These decision models can aid policymakers in detecting potential suspicious activities. This manuscript proposes an unsupervised temporal learning-based decision frontier model using the real world Medicare Part D prescription data collected over 5 years. First, temporal probabilistic hidden groups of drugs are retrieved using a structural topic model with covariates. Next, we construct combined concentration curves and Gini measures considering the weighted impact of temporal observations for prescription patterns, in addition to the Gini values for the cost. The novel decision frontier utilizes this output and enables health care practitioners to assess the trade-offs among different criteria and to identify audit leads.
Corporate social responsibility in family firms: A systematic literature review

ABSTRACT The field of CSR in family firms has experienced remarkable growth recently. Therefore, a literature review on the topic is needed to provide an updated overview of extant research and draw guidelines for future research. Using bibliometric mapping, we conducted a systematic literature review (SLR) on corporate social responsibility (CSR) in family business drawing on the Web of Science (WOS) and Scopus databases. The bibliographic coupling conducted suggests that family involvement, corporate governance, and sustainability are the most frequently studied topics. Furthermore, through our SLR, we systematized the studies into an interpretative framework, identifying the drivers and outcomes of CSR practices, processes, and strategies in family business. The study reveals and organizes the state-of-the-art of CSR research in family business, outlines important theoretical implications and develops a future research agenda.
Nutrition and Antibiotics for Acute Pancreatitis

Acute pancreatitis is a sudden inflammatory disease that could be developed into a fatal condition. Traditional dogma was to rest the pancreas by fasting. However, evidence shows the benefits of early enteral feeding resulting in a shorter hospital stay, improved mortality, multi-organ failure, systemic infections, and the need for operative interventions. Clinicians should encourage enteral feeding as soon as possible even in severe acute pancreatitis if there are no contraindications. An immediate solid diet could be attempted. Regarding tube feeding, the nasojejunal tube did not show superiority to the nasogastric tube. Different formulas and probiotics need more investigation. Guidelines are against using prophylactic antibiotics, but Korean centers still report overuse of antibiotics. However, there is still a debate about using prophylactic antibiotics in severe acute pancreatitis. Broad-spectrum antibiotics should be initiated when an infection is suspected. In conclusion, enteral nutritional support and optimal use of antibiotics are the keys to the management of acute pancreatitis.
The Influence of Leadership Style on Firm Performance through Job Satisfaction (A Case Study at PT. Bank Aceh Syariah)

INTRODUCTION Human resources can help companies achieve competitive and superior advantages (Boon et al., 2018). The need for human resources in organizations to implement organizational policies sometimes comes at the expense of employee health (Wang et al., 2019). These problems encourage thinkers to change organizations' policies to focus more on employee welfare (Kowalski & Loretto, 2017) and offer alternative pathways for higher employee performance (Guest, 2017; Cooke et al., 2020). Good working techniques, organized, and easily accessible encouraged the academic community to discuss the conceptual basis in terminology, level of analysis (such as individual, business unit, or organization), and quality (Özşahin et al., 2011).
Psychometric analysis of Persian version of patient safety competency self-evaluation in psychiatric wards

BACKGROUND: Assessment of the patient safety competency is necessary for the growth of nursing and safe care profession as well as evaluation of the nurses' educational needs. The present study was conducted to determine psychometric properties of the Persian version of the patient safety competency self-evaluation (PSCSE) tool in Iranian psychiatric wards. MATERIALS AND METHODS: All nurses (n = 209) working in two psychiatric hospitals of Kerman, Iran, were included in the present cross-sectional study using census method. This tool contains 41 items: six items are related to knowledge, 14 items deal with attitude, and 21 items are about skill dimension. Psychometric properties of the questionnaire including its content and face validity were also examined. The factor structure of the questionnaire was evaluated using exploratory factor analysis. The internal consistency and reliability were assessed by test–retest method with an interval of 14 days. Cronbach's alpha and corrected item-total correlation were used to measure reliability. RESULTS: The content validity index was 0.65 and the content validity ratio was 0.89. Item 14 was removed from the skill domain because it was not related to the psychiatric ward. According to the results of factor analysis, there was a significant relationship between the questions and the relevant factors. The correlation coefficient for test–retest with 14 days interval was intraclass correlation coefficient = 0.92 for the whole instrument and 0.89, 0.89, and 0.92 for the domains of knowledge, attitude, and skill, respectively. The internal consistency coefficient (Cronbach's alpha) of the whole tool was 0.95 and 0.95, 0.79, and 0.95 for the domains of knowledge, attitude, and skill, respectively. Finally, PSCSE Questionnaire was obtained with 40 items in dimensions of knowledge (6 items), attitude (14 items), and skills (20 items). CONCLUSION: Persian version of the nurses' competency tool in ensuring patient safety in psychiatric wards has acceptable psychometric characteristics.
Molecular Understanding of Energy Storage in Supercapacitors with Porous Graphyne Electrodes: From Semiconductor to Conductor

Two-dimensional (2D) porous materials with high specific surface area and ordered morphology exhibit great potential as supercapacitor electrodes. The fundamental understanding of the charge storage and charging dynamics of 2D porous materials can help the optimal design of supercapacitors. Herein, we investigated the energy storage, including the double layer and quantum capacitances, of supercapacitors with typical 2D porous graphynes in the ionic liquid electrolyte by combining molecular dynamics simulation and density functional theory. Simulations revealed that supercapacitors with porous graphyne electrodes could obtain excellent double-layer capacitances, but their total capacitances are limited by the low quantum capacitances. We further predicted boron-/nitrogen-doped graphynes and found that the new porous graphynes turn into good conductors after doping and could achieve a quite high quantum capacitance. The charging dynamics in nanoscale and capacitive performance in macroscale based on the predicted graphyne electrodes were evaluated by combining molecular simulation and transmission line model. Results demonstrate that both outstanding gravimetric and volumetric energy and power densities could be obtained in doped porous graphyne supercapacitors. These findings pave the way for understanding energy storage mechanisms and designing high-performance supercapacitors.