Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Work Environment and Compensation on Employee Performance

This study aims to determine the effect of the working environment and compensation to employee performance at PT. Jombang Intermedia Press (Radar Jombang). The sample of this research is a permanent employee at PT. Jombang Intermedia Press (Radar Jombang) by 40 respondents. Methods of analyzing data used in this study include testing instrument, the classical assumption, t test, F test and multiple linear regression. The results of this study indicate that the Work Environment and Compensation positive and significant effect on the performance of employees at PT. Jombang Intermedia Press (Radar Jombang). Therefore, PT. Jombang Intermedia Press (Radar Jombang) should maintain and facilitate all the needs of physically and psychologically to support all forms of employees' work activities.
Higher Loading of Gold Nanoparticles in PAD Mesenchymal-like Stromal Cells Leads to a Decreased Exocytosis

Cell therapy is an important new method in medicine and is being used for the treatment of an increasing number of diseases. The challenge here is the precise tracking of cells in the body and their visualization. One method to visualize cells more easily with current methods is their labeling with nanoparticles before injection. However, for a safe and sufficient cell labeling, the nanoparticles need to remain in the cell and not be exocytosed. Here, we test a glucose-PEG-coated gold nanoparticle for the use of such a cell labeling. To this end, we investigated the nanoparticle exocytosis behavior from PLX-PAD cells, a cell type currently in clinical trials as a potential therapeutic agent. We showed that the amount of exocytosed gold from the cells was influenced by the uptake time and loading amount. This observation will facilitate the safe labeling of cells with nanoparticles in the future and contribute to stem cell therapy research.
Utility of Neonatal Sequential Organ Failure Assessment (nSOFA) Score for Neonatal Mortality Prediction

Aims and Objectives: (a) Utility of neonatal sequential organ failure assessment (SOFA) score for predicting mortality in neonatal sepsis. (b) Determining a cut-off score of neonatal sequential organ failure assessment (nSOFA) score in relation to mortality. Materials and Methods: Prospective pilot study in neonatal intensive care unit (ICU) for 1 year (January-December 2021). Inclusion Criteria: All neonates (inborn and outborn) admitted to neonatal ICU with the diagnosis of presumed or proven sepsis. Exclusion Criteria: Neonates with critical congenital heart disease, congenital malformations, congenital immunodeficiency syndromes, inborn errors of metabolism, and neonates with birth asphyxia. All neonates admitted in neonatal ICU with the diagnosis of presumed or proven sepsis were included in the study. Variables required for nSOFA were assessed along with general demographic like age, gestational age, and so on. The nSOFA score was documented twice, once at the time of admission (initial evaluation) for sepsis and later at 24 h. The final outcome (survivor/nonsurvivor) was recorded. Data was analyzed to see the correlation of nSOFA to outcome and also to see the predictive value of cut-off nSOFA score to outcome. Results: A total of 60 neonates with presumed or proven sepsis (30 each in term and preterm) were admitted, of which 10 (16.7%) were nonsurvivors (6 preterms and 4 term), P value . 731. Four deaths were observed in outborn (n = 38) and 6 in inborn (n = 22) babies, P value . 149. The mean (±standard deviation [SD]) of age (days) and weight (kg) among survivors was 11.24 (9.47) and 2.23 (0.69) and for nonsurvivors was 11.2 (11.9) and 1.9 (1.1), respectively, P value >. 05. There was no statistical significance observed between survivors and nonsurvivors in relation to blood culture positivity, P value . 17. Mean (±SD) nSOFA score among survivors at the time of admission (initial evaluation) was 1.96 (1.69) and at 24 h was 1.16 (1.48). Among nonsurvivors mean (±SD), admission (initial evaluation) nSOFA score was 7.6 (2.0) and at 24 h 10 (2) was observed, P value of <. 001. The mean (±SD) of nSOFA changes (at the time of admission and at 24 h) for survivors (–)0.8(1.14) and for nonsurvivors 2.4 (1.17) was observed, P value <. 001. Outcome in relation to nSOFA score, 90.0% mortality was observed with the score of ≥6 at the time of admission (initial evaluation) and score of ≥5 at 24 h. Based on these cut-off values, receiver operating characteristic curve for mortality prediction was calculated. Area under curve (AUC) for admission (initial) was 0.972 (sensitivity 90%, specificity 98%, positive predictive value 90%, negative predictive value 98, with accuracy of 96.7%). At 24 h, AUC was 0.999 (sensitivity 100%, specificity 98%, positive predictive value 90.9%, negative predictive value 100, with accuracy of 98.3%). Conclusion: nSOFA can predict neonatal mortality due to sepsis. Admission nSOFA score of ≥6 and ≥5 at 24 h correlate well with mortality.
Fuzzy-Based Ecological Vulnerability Assessment Driven by Human Impacts in China

Human activities have a significant impact on global ecosystems. Assessing and quantifying ecological vulnerability is a fundamental challenge in the study of the ecosystem’s capacity to respond to anthropogenic disturbances. However, little research has been conducted on EVA’s existing fuzzy uncertainties. In this paper, an ecological vulnerability assessment (EVA) framework that integrated the Exposure-Sensitivity-Adaptive Capacity (ESC) framework, fuzzy method, and multiple-criteria decision analysis (MCDA), and took into account human impacts, was developed to address the uncertainties in the assessment process. For the first time, we conducted a provincial-scale case study in China to illustrate our proposed methodology. Our findings imply that China’s ecological vulnerability is spatially heterogeneous due to regional differences in exposure, sensitivity, and adaptive capacity indices. The results of our ecological vulnerability assessment and cause analysis can provide guidance for further decision-making and facilitate the protection of ecological quality over the medium to long term. The developed EVA framework can also be duplicated at multiple spatial and temporal dimensions utilizing context-specific datasets to assist environmental managers in making informed decisions.
How Does Hedonic Aroma Impact Long-Term Anxiety, Depression, and Quality of Life in Women with Breast Cancer? A Cross-Lagged Panel Model Analysis

Depression and anxiety are common symptoms during and after adjuvant chemotherapy treatment for breast cancer (BC), with implications on quality of life (QoL). The present study evaluates the temporal relationship between anxiety, depression, and QoL (primary outcomes), as well as the impact of hedonic aroma (essential oils) on this relationship. This is a secondary analysis of a previously reported randomized controlled trial, with two groups: an experimental group (n = 56), who were subjected to the inhalation of a self-selected essential oil during chemotherapy, and a control group (n = 56), who were only subjected to the standard treatment. The hedonic aroma intervention occurred in the second (T1), third (T2), and fourth (T3) chemotherapy sessions, three weeks apart from each other. The follow-up (T4) assessments took place three months after the end of the treatment. Cross-lagged panel models were estimated in the path analysis framework, using structural equation modeling methodology. Regarding the control group, the cross-lagged panel model showed that anxiety at T1 predicted anxiety at T3, which in turn predicted both QoL and depression at T4. In the experimental group, hedonic aroma intervention was associated with stability of anxiety and QoL over time from T1 to T3, with no longitudinal prediction at T4. For women undergoing standard chemotherapy treatment, anxiety was the main longitudinal precursor to depression and QoL three months after chemotherapy. Thus, essential oils could complement chemotherapy treatment for early-stage BC as a way to improve long-term emotional and QoL-related adjustment.
REMOVAL OF RHODAMINE B DYE FROM AQUEOUS SOLUTION USING CHITOSAN – MAGNETITE COMPOSITE

Vật liệu composite chitosan – ma nhê tit (CS-MNPs) đã được tổng hợp bằng phương pháp in-situ kết hợp đồng kết tủa. Các đặc trưng của vật liệu đã được nghiên cứu thông qua các phương pháp X-Ray, SEM, BET và VSM. Vật liệu CS-MNPs đã tổng hợp có dạng hình cầu với đường kính khoảng 20 nm, diện tích bề mặt 119,43 m2/g. Vật liệu có từ tính tốt với từ độ bão hòa là 36,5 emu/g. Khả năng loại bỏ thuốc nhuộm rhodamin B (RhB) đã được nghiên cứu thông qua nghiên cứu ảnh hưởng của các tham số hấp phụ: pH dung dịch, thời gian hấp phụ, nồng độ ban đầu của RhB và nhiệt độ hấp phụ. Động học quá trình hấp phụ RhB trên CS-MNPs tuân theo mô hình giả động học bậc 2. Quá trình hấp phụ phù hợp theo mô hình hấp phụ Langmuir và Freundlich. Dung lượng hấp phụ cực đại giảm từ 271,79 đến 148,41 mg/g khi nhiệt độ tăng từ 293 đến 313K. Quá trình hấp phụ là quá trình tự xảy ra, diễn ra tự nhiên và thu nhiệt.
The Distance between Minima of Electron Density and Electrostatic Potential as a Measure of Halogen Bond Strength

In this study, we present results of a detailed topological analysis of electron density (ED) of 145 halogen-bonded complexes formed by various fluorine-, chlorine-, bromine-, and iodine-containing compounds with trimethylphosphine oxide, Me3PO. To characterize the halogen bond (XB) strength, we used the complexation enthalpy, the interatomic distance between oxygen and halogen, as well as the typical set of electron density properties at the bond critical points calculated at B3LYP/jorge-ATZP level of theory. We show for the first time that it is possible to predict the XB strength based on the distance between the minima of ED and molecular electrostatic potential (ESP) along the XB path. The gap between ED and ESP minima exponentially depends on local electronic kinetic energy density at the bond critical point and tends to be a common limiting value for the strongest halogen bond.
Green Initiatives and Environmental Concern Foster Environmental Sustainability: A Study Based on the Use of Reusable Drink Cups

Unsustainable production and consumption have threatened human life and nature. Therefore, practitioners around the globe have paid attention to sustainability issues and adopted pro-environmental strategies to protect the environment. Using single-use cups contributes to environmental pollution. This study aims to understand university students’ intention to use reusable drink cups in university campuses. This study has extended the theory of planned behavior (TPB) model by including moral norms, green university initiatives, environmental concerns, and moral norms. The purposive sampling technique has been employed to collect students’ data from the twelve universities in Pakistan. Partial least square structural equation modeling (PLS-SEM) has been employed to test the hypothesized model. The study’s results revealed that green university initiatives and norms significantly shape students’ intention to use reusable cups. However, environmental concern has an insignificant impact on the perceived behavioral control. This study’s results help higher education institutions to formulate strategies that create awareness among students and promote environmentally sustainable practices.
Effects of land use and climate change on functional and phylogenetic diversity of terrestrial vertebrates in a Himalayan biodiversity hotspot

The synergy between human land use and climate change is accelerating the global decline of biodiversity. In the fragile Himalayas, this trend has a strong ecological impact on wildlife communities, and a better understanding is needed to discern changes in the mechanisms. This study aims to understand the effects of land use and climate change on the functional (FD) and phylogenetic diversity (PD) of mammal and bird communities across the land use gradient.
The Effect of Positive Intervention Dosing Frequency: Fixed Intervals May Decrease More Depression than Flexible Ones

Positive interventions (PIs) that are based on the theory of positive psychology have proven to be effective in improving well-being and alleviating depression. However, little research has explored the effect of dosing intervals on experimental effects. As such, this study designed strength-based PIs using cognitive reframing theory and compared flexible and fixed dosing intervals to find out which one could more effectively reduce depression with equal total amounts of dosing. The 8-item Center for Epidemiological Studies Depression Scale (8-item CES-D) and the Positive reframing scale (PRS) were adopted as research instruments. A total of 193 Taiwanese college students were recruited as the research sample and they were randomly assigned to experimental Group A (fixed dosing intervals), experimental Group B (flexible dosing intervals), and the Control Group. The research participants received 17-day interventions with follow-up tests administered in the seventh week of the experiment. Ultimately, 157 participants completed the experiment. According to the ANCOVA results, participants in experimental Group A showed significantly lower degrees of depression than those in the Control Group in both post-test and follow-up stages and displayed greater effect size in the follow-up stage than in the post-test stage. The results indicated that the design of fixed dosing intervals enabled the participants to effectively integrate reflections on reframing learned during PIs into their life. On the contrary, participants in experimental Group B exhibited no significant difference in the degree of depression from those in the Control Group during either the post-test or follow-up stage and manifested poorer effects in the follow-up stage than in the post-test stage. These results demonstrated that fixed dosing intervals achieved better effects than flexible dosing intervals. Participants receiving fixed dosing intervals could more effectively execute cognitive reframing and showed longer-lasting experimental effects, whereas participants using the design of flexible dosing intervals were more prone to forget to implement PIs and attain less positive effects as a result.
Prediction of cloud droplet number in a general

A predictive treatment of droplet number is applied to both a single-column cloud model and a global circulation model. Droplet number is predicted from the droplet number balance, which accounts for droplet nucleation, mixing, and droplet loss due to autoconversion of droplets to rain and collection by rain, ice, and snow. Droplet nucleation is parameterized in terms of the parameters of a lognormal aerosol size distribution and in terms of a Gaussian probability distribution of vertical velocity within each grid cell. The predicted droplet number is found to be significantly less than observations unless vertical resolution provides at least 10 levels within the planetary boundary layer. When droplet number is simply diagnosed from the number nucleated, droplet concentrations are found to be consistently greater than with the predictive treatment. Predicted droplet number concentrations are found to be nonlinearly related to aerosol number concentration.
Study on Heating and Cooling Performance of Air-to-Water Heat Pump System for Protected Horticulture

There is much interest in alternative energy sources for greenhouse heating and cooling, due to the impact of severe climatic conditions and increasing fossil fuel prices. The main objective of this study was to experimentally evaluate the performance of an air-to-water heat pump (AWHP) system to fulfil the cooling and heating energy requirements of a three-spanned greenhouse under local weather conditions in Daegu, South Korea. For this purpose, a system comprising three air-to-water heat pumps, a water storage tank, and fan coil units (FCU)s was designed. Experiments were conducted extensively during the summer and winter seasons. The maximum heating and cool ingenergy supply to the greenhouse was 210 kcal∙h−1∙m−2 and 230 kcal∙h−1∙m−2, respectively. Based on the outcomes of this study, the AWHP system can provide heating during the winter season. During the summer season, the FCU capacity was insufficient to provide the desired cooling to achieve the setpoint air temperature inside the studied greenhouse. To achieve the desired microclimate during the summer season, the capacity of the FCU or number of FCUs must be increased. Moreover, one AWHP with a water storage tank, was sufficient to provide the required cooling and heating in both seasons. Two additional AWHPs can be used to provide energy to more greenhouse areas in the future. The results can be used as a case study to find a more resilient and reliable source for greenhouse heating and cooling. The average COP of the AWHP in heating mode was 2.2, while on cooling mode, it was 3.2.
Private Shareholder Engagements on Material ESG Issues

Abstract We study private shareholder engagements with 2,465 listed firms about environmental, social, and governance (ESG) issues from 2007 to 2020. We examine the extent to which private engagements address financially material ESG issues and contribute to firm performance. We find that material engagements succeed more often than immaterial engagements and that the targets of successful material engagements significantly outperform their peers by 2.5% over the next 14 months. Further, we find that material engagements are more often associated with improvements in profitability and cost ratios than immaterial engagements. Finally, our evidence indicates that a decrease in CO2e emission intensity accompanies environmental engagements.
Psychometric Properties of the Persian Short Version of the Problematic Pornography Consumption Scale (PPCS-6)

ABSTRACT The short version of the Problematic Pornography Consumption Scale (PPCS-6) is a valid and reliable scale for assessing problematic pornography use. However, due to the lack of a single definition and gold standard assessment for problematic pornography use, a valid multilingual instrument can help establish standard diagnostic criteria. This cross-sectional study enrolled 115 randomly selected men and women who filled out an online questionnaire in 2021. After translating and back-translating the questionnaire, we assessed face, content, construct validity, and reliability. The results indicated excellent face validity (impact score >1.5 for every item on the questionnaire), content validity (S-CVI/Ave = 0.95 and I-CV = 0.89–1 for all the items using the K* method) and construct validity (KMO = 0.67, Sig = p < 0.001). The construct validity results indicated that the PPCS-6 included two factors in the Iranian population. The scale also had excellent reliability (Cronbach's alpha = 0.97, intra-cluster correlation coefficients = 0.97, 95%CI (0.92–0.98)(. Due to the acceptable validity and reliability of the Persian version of PPCS-6, this scale can be used in large-scale studies where several instruments are employed, and there is often a time limitation. The psychometric examination of this instrument can contribute to achieving a unified concept and assessment of problematic pornography use.
Feeling fixes: Mess and emotion in algorithmic audits

Efforts to address algorithmic harms have gathered particular steam over the last few years. One area of proposed opportunity is the notion of an “algorithmic audit,” specifically an “internal audit,” a process in which a system’s developers evaluate its construction and likely consequences. These processes are broadly endorsed in theory—but how do they work in practice? In this paper, we conduct not only an audit but an autoethnography of our experiences doing so. Exploring the history and legacy of a facial recognition dataset, we find paradigmatic examples of algorithmic injustices. But we also find that the process of discovery is interwoven with questions of affect and infrastructural brittleness that internal audit processes fail to articulate. For auditing to not only address existing harms but avoid producing new ones in turn, we argue that these processes must attend to the “mess” of engaging with algorithmic systems in practice. Doing so not only reduces the risks of audit processes but—through a more nuanced consideration of the emotive parts of that mess—may enhance the benefits of a form of governance premised entirely on altering future practices.
Accommodations, modifications, and special education interventions: influence on teacher expectations

ABSTRACT Students with special educational needs (SEN) are at risk of lower teacher expectations due to disability-related negative labelling effects. In most educational systems, students with SEN receive measures such as accommodations (adjustments of the learning/assessment conditions), curriculum modifications (adjustments of the learning objectives), or additional support from special education teachers to support inclusion in regular school. Here, we examine whether the receipt of such measures, even in the absence of a formally assessed SEN or disability diagnosis, is sufficient to evoke negative labelling effects. Using data from 110 lower secondary school classes in Switzerland, we show that students with reduced learning objectives or individual support by a special education teacher get systematically underestimated by their teachers regarding their cognitive abilities, although this is not the case for students receiving accommodations. These findings provide important implications for the application of such measures and the prevention of educational inequalities.
Agrochemicals and Shade Complexity Affect Soil Quality in Coffee Home Gardens

Soil quality can directly influence the health, yield, and quality of a particular crop species, and agrochemicals are often used to boost soil micro- and macro-nutrients. The excessive application of agrochemicals, however, is often the cause of imbalances in acidity and nutrient concentration and can cause soil to deteriorate. The presence of multiple shade trees in farmland can positively influence soil quality. Here, we evaluate the effect of agrochemical use (i.e., organic, mixed, and intensive) and shade tree complexity (i.e., sun, low, and high) on soil quality (i.e., pH, macronutrients, and micronutrients) in 56 coffee home gardens in Indonesia. We found that Al, Fe, K, and Mn were significantly higher in farms that used agrochemicals, and pH was more acidic in fields with intensive use of agrochemicals. C:N ratio and Mn were higher in soils with high shade complexity than in sun-exposed soils. The use of agrochemicals, however, is not sustainable as it increases the Al concentration and decreases pH, both of which are associated with poor coffee growth and reduced soil quality. Shade tree removal and the use of invasive, non-native species, such as eucalyptus, can also negatively influence soil quality, and thus the maintenance of complex shade cover with native trees should be prioritised.