Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship Between Employee Voice and Organizational Effectiveness Becomes Significant with The Mediation of Work Engagement

The best human resource (HR) management practices organizations implement worldwide are still being discussed. One of the causes is a lack of understanding of the decision-making process. Management must develop a strategy for generating constructive ideas and receiving employee feedback to manage the organization effectively. This study aims to understand the mediating effect of work engagement on employee voice and organizational effectiveness with a social exchange approach. One hundred ninety-three employees of Statistics Indonesia were used to assess the hypothesis. The technique used in this study was purposive sampling. To collect data using Google Forms. The results show that employee voice has no direct effect on organizational effectiveness but has a positive and significant impact after being mediated by work engagement. For practical implications, practitioners need to strengthen the employee's voice mechanism by providing opportunities for employees to voice their opinions by feeling heard. Employees will be motivated to become more engaged in their work to increase their effectiveness.
Approaches and Models for Teaching Digital Ethics in Information Systems Courses - A Review of the Literature

The value and importance of teaching Digital Ethics within Information Systems and ICT courses is widely recognized and stand-alone or integrated digital ethics units are broadly implemented across degree courses. However, how such courses should be taught and what content they should include is a little explored topic. Using a narrative literature review methodology, this paper reviews the pedagogical theories underpinning digital ethics courses discussed in the literature and outlines approaches that deploy standalone ethics units, integrated ethics teaching, and hybrid teaching approaches and the use of interdisciplinary models. The paper identifies the employment of, and emphasis given to various moral theories in digital ethics education. The paper then discusses how our findings relating to different pedagogical approaches, degree of integration of ethics teaching, the use of interdisciplinary models and use of moral theories—are related to each other. The discussion explores trends in approaches and models for teaching digital ethics highlighted in the review, and makes recommendations for further exploration and inquiry. It concludes that the effective teaching of digital ethics will likely involve a considered combination of approaches, models and techniques, which may also be tailored to the needs of different roles and industries.
Optimisation of Chitosan as A Natural Flocculant for Microplastic Remediation

The objective of this study is to determine the optimal concentration of chitosan for microplastic remediation using the coagulation-flocculation method. The chitosan concentrations employed in this study include 10, 20, 30, and 40 ppm. The process of coagulation was conducted for one minute, with a rotational speed of 120 rpm. The process of flocculation was performed for 30 minutes with a rotational speed of 60 rpm. The findings of the study indicate that chitosan demonstrates a high efficacy in microplastic removal, resulting in a removal rate of 68.3%. Furthermore, the research findings indicate that the optimal concentration of chitosan for microplastic remediation was determined to be 30 ppm. The concentration of chitosan has a direct impact on the pH, TDS, COD, and BOD values. In general, an increase in chitosan concentration leads to a drop in pH and TDS values; conversely, an increase in chitosan concentration results in a rise in COD and BOD values.
Knowledge translation in the biomass industry: Examine the moderating effect of organizational collaborative environment

Globalization, rapid technological advancement, and a dynamic market environment make organizations need to find effective ways to escalate their organizational performance. Anchored on the resource-based view (RBV) theory, this study investigates the impact of organizational innovation, knowledge management capabilities, and organizational learning on organizational performance in the Malaysian biomass industry. More importantly, this study also examines the moderating effect of collaborative knowledge, skills and abilities (KSAs) on organizational performance. This study employed census sampling and collected 130 samples. Cross-sectional data were collected using a structured questionnaire and tested using partial least square–structural equation modelling. Subsequently, the assessments of the reflective measurement model, structural model, reliability and validity were conducted. This study found that organizational learning is the most critical factor affecting organizational performance, followed by knowledge management capabilities and organizational innovation. Collaborative KSAs were found to moderate the relationship between organizational learning and organizational innovation on organizational performance. However, no moderating effect was identified on the relationship between knowledge management capabilities and organizational performance.
Clustering-Based Contrastive Learning for Fault Diagnosis With Few Labeled Samples

In recent years, the utilization of deep learning (DL) for fault diagnosis has become more and more prevalent. However, most DL methods rely on a large amount of labeled data to train models, which could lead to their poor generalization ability when applied to different scenarios. Moreover, labels are precious and not easily accessible in practical industrial production environments. To overcome these drawbacks, we propose a clustering-based contrastive learning (CCL) framework. Specifically, data augmentation (DA) is first applied to the raw data by converting them into two related views using a dropout method. Next, we adopt an inter-instance contrasting module based on dynamic clustering to learn the discriminability representation of the neural network model. This module seeks to maximize the similarity of the same sample features while minimizing the similarity between different sample features. Finally, an intra-instance temporal contrast module is designed to learn the intra-instance temporal relationship by undertaking a challenging cross-prediction task to establish robust temporal representations. The effectiveness of our proposed method is demonstrated by the experimental results of three public rotating machinery datasets and one dataset collected from 15 pumps in the Tengzhou factory. In the most difficult task where only 1% of the data are labeled, the proposed CCL can improve the accuracy by a maximum of 23.13% over the supervised learning baseline. This method can significantly improve the diagnostic performance and generalization ability of the model with limited labels.
Sustainable petrol subsidy program in Malaysia

The purpose of this research is to propose a sustainable petrol subsidy program to enhance the effectiveness of the Malaysian government in subsidizing petrol to B40 and M40 households. B40 and M40 households, which suffered from poverty due to the COVID-19 pandemic. However, at the present moment, there is very limited study on the sustainable petrol subsidy program for B40 and M40 households. This research adopts a quantitative research method. One hundred and fifty questionnaires were disseminated to Malaysian B40 and M40 households. Sixty households responded to the questionnaire. This paper utilized cross-sectional design to test hypotheses that contribute to the sustainability of the petrol subsidy program in Malaysia post-COVID-19 pandemic. This paper has unique and important findings: household welfare, fiscal and macroeconomic issues, and environmental pollution are the most important factors that contribute to the sustainability of petrol subsidies in Malaysia. This research is the pioneering research in Malaysia that provides comprehensive insights on sustainable petrol subsidy, leading to a significant implication on the socio-economic wellbeing of the B40 and M40 households. It provides unique contributions to the government petrol subsidy in Malaysia, as it is one of the very limited studies in Malaysia post-COVID-19 pandemic.
A LA-ICP-MS analysis of rare earth elements on phosphatic grains of the Ediacaran Doushantuo phosphorite at Weng'an, South China: implication for depositional conditions and diagenetic processes

Abstract The Ediacaran Doushantuo Formation at Weng'an, South China hosts well-preserved phosphatized microfossils known as the Weng'an biota. A laser ablation ICP-MS analysis of rare earth element (REE) characteristics of the fossil-bearing black phosphorite unit of the Doushantuo Formation at Weng'an was conducted, with the aim of unravelling the depositional conditions and diagenetic processes during formation of the phosphorites. Spherical phosphatized microfossils and phosphatic clasts were analysed, and the REE data display middle REE (MREE) -enriched shale-normalized REE patterns. The spherical phosphatized microfossils show an increase in total REE contents (∑REE) from core to rim. Negative correlations between ∑REE and the extent of MREE enrichment over the other REE (indicated by LaN/SmN, YbN/SmN) are observed for analysed spots within individual phosphatic grains, which may be due to complex diagenetic history of the phosphatic grains, with fluctuations in REE sources and chemical parameters in a high-energy shallow-water environment being additional factors. The LaN/YbN and LaN/SmN characteristics of the phosphatic grains suggest they were mostly influenced by early diagenetic alteration rather than late extensive recrystallization. The negative Ce anomalies in the samples suggest they formed under oxic-bottom-water conditions. Positive Eu anomalies are present in all samples, and are likely to reflect involvement of hydrothermal fluids rather than changes in redox conditions of porewater. Overall this study has major implications for phosphorites as important archives for the study of geochemical proxies, the Ediacaran period and also evolutionary changes.
B-Blockers in Liver Cirrhosis: A Wonder Drug for Every Stage of Portal Hypertension? A Narrative Review

In cirrhotic patients, non-selective b-blockers (NSBBs) constitute the reference treatment of choice as monotherapy or combined with band ligation for the prevention of first variceal bleeding and rebleeding, respectively. Furthermore, the last Baveno VII guidelines recommended carvedilol, a b-blocker with additional anti-a1 receptor activity, in all compensated cirrhotics with clinically significant portal hypertension, to prevent liver decompensation. Interestingly enough, NSBBs have been reported to have a potentially positive impact on the short-term mortality of patients with acute-on-chronic liver failure. However, concerns remain about the use of b-blockers in the presence of severe complications, such as refractory ascites, hepatorenal syndrome, spontaneous bacterial peritonitis, or established cirrhotic cardiomyopathy. In addition, it has not been verified yet whether carvedilol supersedes all the other NSBBs in every stage of liver disease, even when severe complications have developed. Therefore, this review aims to illustrate recent data regarding the potential role of b-blockers across all stages of liver disease, beyond the primary and secondary prophylaxis of variceal bleeding, and address the authors’ proposals on the use of NSBBs concerning the severity of liver disease and the patient’s performance status.
On the mechanisms of J c increment and degradation in high-J c Ba122 tapes made by different processing methods

We compared the grain and grain boundary (GB) nanostructures in two Ba122 tapes with similarly high J c. The Ag-sheathed tape made by hot pressing has larger, more plate-like grains with better c-axis alignment but has more GBs blocked by FeAs and Ba–O. In contrast, the tape made by cold pressing with an Ag-Sn/stainless steel sheath possesses fewer plate-like grains and weaker grain alignment but has more continuous current paths with clean physically well-connected GBs. Our nanostructural comparison emphasizes the strong need to achieve both good grain alignment and clean GBs for further J c improvement of Ba122 tapes.
Dynamics of Eddies in the Southeastern Tropical Indian Ocean

A holistic study was done on eddies in the Southeastern Tropical Indian Ocean (SETIO) using the HYbrid Coordinate Ocean Model (HYCOM) for 64 years (from 1950 to 2013). The results from the model were verified against the current and the Sea Surface Height Anomaly (SSHA) from Ocean Surface Current Analyses - Real time (OSCAR) and Archiving, Validation and Interpretation of Satellite Oceanographic Data (AVISO) respectively. The verification showed that the model simulates the condition in the area of study relatively well. We discovered that the local wind was not the only factor that contributed to the formation of eddies in the area. The difference in South Java Current (SJC) flow compared to the Indonesian Throughflow (ITF) and South Equatorial Current (SEC) flow as well as the difference in the relative velocity between the currents in the area led us to suspect that shear velocity may be responsible for the formation of eddies. The results from our model corroborated our prediction about shear velocity. Therefore, we attempted to explain the appearance of eddies in the SETIO based on the concept of shear velocity. By observing and documenting the occurrences of eddies in the area, we found that there are 8 cyclonic and 7 anticyclonic eddies in the SETIO. The distribution and frequency of the appearance of eddies varies, depending on the season.
Auditory Cortex Asymmetry Associations with Individual Differences in Language and Cognition

A longstanding cerebral lateralization hypothesis predicts that disrupted development of typical leftward structural asymmetry of auditory cortex explains why children have problems learning to read. Small sample sizes and small effects, potential sex-specific effects, and associations that are limited to specific dimensions of language are thought to have contributed inconsistent results. The large ABCD study dataset (baseline visit: N = 11,859) was used to test the hypothesis of significant associations between surface area asymmetry of auditory cortex and receptive vocabulary performance across boys and girls, as well as an oral word reading effect that was specific to boys. The results provide modest support (Cohen’s d effect sizes ≤ 0.10) for the cerebral lateralization hypothesis.
CRISPR/Cas9 as a New Antiviral Strategy for Treating Hepatitis Viral Infections

Hepatitis is an inflammatory liver disease primarily caused by hepatitis A (HAV), B (HBV), C (HCV), D (HDV), and E (HEV) viruses. The chronic forms of hepatitis resulting from HBV and HCV infections can progress to cirrhosis or hepatocellular carcinoma (HCC), while acute hepatitis can lead to acute liver failure, sometimes resulting in fatality. Viral hepatitis was responsible for over 1 million reported deaths annually. The treatment of hepatitis caused by viral infections currently involves the use of interferon-α (IFN-α), nucleoside inhibitors, and reverse transcriptase inhibitors (for HBV). However, these methods do not always lead to a complete cure for viral infections, and chronic forms of the disease pose significant treatment challenges. These facts underscore the urgent need to explore novel drug developments for the treatment of viral hepatitis. The discovery of the CRISPR/Cas9 system and the subsequent development of various modifications of this system have represented a groundbreaking advance in the quest for innovative strategies in the treatment of viral infections. This technology enables the targeted disruption of specific regions of the genome of infectious agents or the direct manipulation of cellular factors involved in viral replication by introducing a double-strand DNA break, which is targeted by guide RNA (spacer). This review provides a comprehensive summary of our current knowledge regarding the application of the CRISPR/Cas system in the regulation of viral infections caused by HAV, HBV, and HCV. It also highlights new strategies for drug development aimed at addressing both acute and chronic forms of viral hepatitis.
Average Consensus With Error Correction

We propose a novel method for achieving the average consensus in a distributed manner while dealing with communication compression. While it is widely recognized that distributed consensus algorithms with compression can falter due to compression-error-induced divergences, our approach integrates an error correction step to guarantee convergence towards an approximate average consensus across any bounded compression function. Significantly, with our error correction mechanism, we can achieve convergence to a solution of arbitrarily high accuracy, irrespective of how crude the compression is in a fully distributed setting. Additionally, we quantify the convergence rate and provide upper bounds for the estimation error based on the spectral properties of the underlying communication network. Simulation results validate the scalability and efficacy of our proposed algorithm.
THE RELATIONSHIP BETWEEN THE WORK ENVIRONMENT AND JOB SATISFACTION OF NURSE ANESTHETISTS IN HOSPITALS, CENTRAL JAVA-BALI

Background: Nurse anesthetists as medical personnel have an important role in the continuity of work in the operating room. Although they have considerable responsibility and role, no research has focused on the job satisfaction of nurse anesthetists. In addition, no literature review has shown low job satisfaction among nurse anesthetists. Objectives: This research aimed to determine the relationship between the work environment and job satisfaction of nurse anesthetists in hospitals. Methods: This research used a quantitative method with a cross-sectional design through an online survey. The population of this research covered all nurse anesthetists working in hospitals in Central Java and Bali, of which 108 respondents were selected as the sample using a simple random sampling. The data were collected using questionnaires and analyzed using inferential statistics, namely chi-square, to determine the relationship between the work environment and job satisfaction of nurse anesthetists. Results: This research showed that a total of 60 respondents (55.6%) had a high category of job satisfaction. In addition, the work environment factor (p=<0.001) significantly affected the job satisfaction of nurse anesthetists. Conclusion: Hospital management must strengthen the commitment related to the sense of belonging to employees by considering the work environment factor that can affect the job satisfaction of nurse anesthetists in hospitals.
Prevalence of Substance Use During Pregnancy and the Related Factors: A Study from Southeast Iran

Background: Substance use during pregnancy has an increasing trend in all socio-economic classes. In addition to the fetal consequences, this problem has many other economic and social harmful effects. This study aimed to determine the prevalence of substance use and its related factors in pregnant women. Methods: This cross-sectional study was performed using a self-administered questionnaire on 587 pregnant women in Kerman, Iran who visited public health centers and private offices to receive prenatal care. Participants were recruited from January to February 2020 using a multistage sampling method. Results: The most prevalent substances used during pregnancy were waterpipe (8.5%), opium (2.6%), and alcohol (1.7%). Substance use in the first-degree relatives strongly correlated with substance use in pregnant women (odds ratio [OR]=7.26). The low educational level of pregnant women’s husbands was also a predictor of substance use in pregnant women (OR=3.15). Conclusion: Since substance use by family members was the strongest correlate of drug use during pregnancy, family-based interventions should be tailored to address early detection of such vulnerable women and to provide appropriate counseling services.
Regulatory Effect of Resveratrol and Prednisolone on MDR1 Protein Expression in Acute Lymphoblastic Leukemia Cell Line (CCRF-CEM)

Objective: Chemotherapy is the most widely recognized technique to regard leukemia and also different sorts of human tumors. In any case, tranquilize protection has stayed as the primary test against the adequacy of medications. Besides, having different unfriendly impacts, chemotherapy drugs are getting to be traded by characteristic modalities for growth treatment. In such manner, natural segments, for example, resveratrol and prednisolone have been recognized to sharpen the leukemic cells to modified cell demise through an arrangement of complex procedures. In this investigation, we have analyzed effect of 15, 50 and 100μM of resveratrol and 700μM of prednisolone on the human multidrug protection quality 1 (MDR1) as a notable marker for cell sedate protection. We assessed the impact of resveratrol and prednisolone on MDR1 protein expression in the CCRF-CEM cell line as an agent for intense lymphoblastic leukemia. The investigation was planned to clear up whether. Materials and methods: CCRF-CEM cells linage get under drug treatment with use of resveratrol and prednisolone. Western blot use at 24 and 48 hours with different doses of resveratrol and prednisolone to analysis of MDR1 expression changes. Results: Effect of 15, 50, and 100 micro molar of resveratrol and 700 micro molars of prednisolone on CCRF-CEM cells led to the MDR1 decrease. Western blot use for evaluation of MDR1 protein expression changes. Conclusion: In the present study, we observed that resveratrol and prednisolone, with a dose-dependent effect, can reduce the expression of the MDR1 protein. This reduction of expression demonstrates that resveratrol and prednisolone can overcome to drug resistance created by MDR1.
Comparative Effects on Using Bilberry Leaves in Broiler Diet Reared under Thermoneutral Conditions vs. Heat Stress on Performance, Health Status and Gut Microbiota

The study aims to investigate the impact of dietary bilberry leaves on the performance, health status, and gut microbiota of broilers reared in both thermoneutral conditions and under heat stress. Sixty Cobb 500 broiler chicks were divided into two groups (C-TN, BL-TN) and reared in thermoneutral conditions for the first trial. For the second trial, two other groups (C-HS and BL-HS) were reared in heat stress (32 °C), with 30 chickens in each group. The experimental diets were supplemented with 1% bilberry leaves compared to the control diets. The broilers fed a diet with bilberry leaves had lower levels of cholesterol compared to the control birds. At the end of the experiment, six broilers per group were slaughtered, and intestinal contents were collected for bacteriological analyses. The results revealed that bilberry leaves increased body weight and average daily feed intake in the BL-TN group compared to the C-HS group. However, the broilers fed a bilberry leaves diet and reared in heat stress had a significantly lower average daily feed intake and average daily weight gain than the C-TN group. Additionally, the number of staphylococci colonies decreased significantly in the group fed with a BL-supplemented diet and reared in TN compared to C-TN, while lactobacilli increased significantly in BL-TN compared to C-TN. In summary, bilberry leaves can be used as a natural supplement in a broiler’s diet to regulate serum cholesterol in heat stress and maintain the health of intestinal microflora in thermoneutral conditions.