Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancing Broilers Performance Fed Palm Kernel Expeller (PKE) Feeds Fortified with Supplements

Poultry production in Malaysia is heavily dependent on imported feed ingredients. There is a need to utilize local feed ingredients such as palm kernel expeller (PKE) to sustain poultry industry through physical treatments and so that it suitable to be incorporated into the feeds. Hence this study evaluates on the effects of control (0% PKE), untreated PKE (UPKE) , extruded PKE (EPKE), less-shell PKE (LSPKE) and extruded less-shell PKE (ELSPKE) at 10%, 20% and 30% inclusion rates in finisher diets (d 21-42) showed that growth performance of broilers (Cobb 500) fed 10% PKE, 20% LSPKE and ELSPKE, were comparable to control birds. At 30% PKE inclusion, broilers performance was significantly (P<0.05) reduced. Birds fed PKE diets, irrespective of treatments and inclusion levels had lower LDL and total cholesterol, and similar villi height and crypt depth compared to control. At 30% PKE inclusion level, although energy metabolism was enhanced, as indicated by the up-regulation of hexokinase I and phosphofructokinase, but broilers growth performance did not improve. The feeding trial showed that broilers fed 25% or 30% LSPKE (grower feed, d 16-24), followed by 20% LSPKE (finisher feed, d 25-35) containing feed supplements 0.02% commercial enzymes and 0.30% humic acid), had comparable FI, BWG and FCR to broilers fed commercial feeds. Broilers fed 25% or 30% UPKE (grower feed, d 16-24) followed by 20% UPKE (finisher feed, d 25-35) showed significantly higher (P<0.05) FCR compared to birds fed commercial feeds. The cost of feeds for production of birds fed LSPKE feeds (2.27-2.29 RM/kg liveweight), was lower than those fed commercial feeds (2.36 RM/kg liveweight). The study showed that physical treatments enhanced the nutritive value of PKE and feeds containing 25-30% and 20% LSPKE as grower and finisher rations, respectively, could attain broilers growth performance comparable to broilers fed commercial feeds.
USID-Net: Unsupervised Single Image Dehazing Network via Disentangled Representations

Captured images of outdoor scenes usually exhibit low visibility in cases of severe haze, which interferes with optical imaging and degrades image quality. Most of the existing methods solve the single-image dehazing problem by applying supervised training on paired images; however, in practice, the pairing of real-world images is not viable. Additionally, the processing speed of individual dehazing models is important in practical applications. In this study, a novel unsupervised single image dehazing network (USID-Net) based on disentangled representations without paired training images is explored. Furthermore, considering the trade-off between performance and memory storage, a compact multi-scale feature attention (MFA) module is developed, integrating multi-scale feature representation and attention mechanism to facilitate feature representation. To effectively extract haze information, a mechanism referred to as OctEncoder is designed to include multi-frequency representations that can capture more global information. Extensive experiments show that USID-Net achieves competitive dehazing results and a relatively high processing speed compared to state-of-the-art methods. The source code is available at https://github.com/dehazing/USID-Net.
The effect of virtual reality education using VSIM for nursing students

The purpose of this study is to confirm the effectiveness of the problem solving process, critical thinking disposition, and self-directed learning ability effect between the group who received virtual reality simulation training online for 3rd grade nursing students and the group who received clinical practice training offline for them. The experimental group (18 people) was asked to evaluate patient care and provide feedback through VSim Scenarios (The National League for Nursing & Laerdal Medical), an online interactive virtual simulation. The control group (19 people) was given offline regular practical training. Data analysis was using SPSS25.0. As a result of the study, it was found that the experimental group who received virtual reality simulation practical education using online had a significantly higher problem solving process (Z=-2.194, p=.028) than the control group. Processes such as patient safety, communication, physical assessment, and drug injection appear to have had a positive effect on solving the problem by providing patient information through scenario learning, pre-learning quizzes, and providing feedback to patients after nursing in a virtual simulation space. In conclusion, in order to confirm the effectiveness of online virtual reality simulation education, it is necessary to continuously study by applying various variables.
Comparative Proteomic Profiling of Ectosomes Derived from Thyroid Carcinoma and Normal Thyroid Cells Uncovers Multiple Proteins with Functional Implications in Cancer

Proteins carried by tumor-derived ectosomes play an important role in cancer progression, and are considered promising diagnostic markers. In the present study, a shotgun nanoLC–MS/MS proteomic approach was applied to profile and compare the protein content of ectosomes released in vitro by normal human thyroid follicular epithelial Nthy-ori 3-1 cells and human anaplastic thyroid carcinoma (TC) 8305C cells. Additionally, the pro-migratory and pro-proliferative effects of Nthy-ori 3-1- and 8305C-derived ectosomes exerted on the recipient cells were assessed in wound closure and Alamar Blue assays. A total of 919 proteins were identified in all replicates of 8305C-derived ectosomes, while Nthy-ori 3-1-derived ectosomes contained a significantly lower number of 420 identified proteins. Qualitative analysis revealed 568 proteins present uniquely in 8305C-derived ectosomes, suggesting their applicability in TC diagnosis and management. In addition, 8305C-derived ectosomes were able to increase the proliferation and motility rates of the recipient cells, likely due to the ectosomal transfer of the identified cancer-promoting molecules. Our description of ectosome protein content and its related functions provides the first insight into the role of ectosomes in TC development and progression. The results also indicate the applicability of some of these ectosomal proteins for further investigation regarding their potential as circulating TC biomarkers.
Parenting Styles and Academic Achievement among Malaysian Students: Mediating Role of Parental Involvement

The goal of the study is to see how parental participation affects the relationship between parenting styles and academic success in Malaysian primary school students. A quantitative technique was applied in this investigation. Private tuition centres in an urban area were used to recruit students. The information gathered for this investigation was numerically assessed and interpreted. Families are divided into four groups by the Parenting Style Index: authoritative, authoritarian, permissive, and indulgent. The relationship between parenting styles and academic success was studied using Pearson's correlation coefficient matrix. It was discovered that it completely mediates the relationship between authoritative and authoritarian parenting styles and student academic attainment. The study's findings show that understanding and receiving knowledge about how parenting styles and parental involvement affect children's academic achievement is crucial for parents.
A process model of peer reactions to team member proactivity

Team member proactivity refers to self-starting, future-directed behavior to change a team’s situation or the way a team works. While previous studies have shown that individuals generally benefit from their proactivity, few studies have explored how others in a team experience it. This is important as the way peers perceive team member proactivity could be critical for the initiative to be effective. We conducted a five-month in-depth study to uncover how peers from three self-managing agile teams react to instances of team member proactivity. Our findings suggest a process model of team member proactivity, in which we show that peers react at two distinct moments during proactive episodes. Depending on its perceived success and whether peers directed their reaction to the proactive employee or at their initiative, peer reactions unfolded in four different pathways: by (1) belittling the proactive team member, (2) criticizing the proactivity initiative, (3) supporting the proactive initiative, or (4) admiring the proactive team member. We explain how and why these reactions are formed by showcasing their cognitive, affective, and behavioral evaluations. Our findings contribute to the proactivity literature, provide a process perspective for understanding how peers perceive proactivity, and present implications for sustaining proactivity in teams.
Depersonalize and attack: facebook campaigns of populist candidates in Greece during the 2019 Greek national elections

ABSTRACT Using an actor-center approach, the present study sheds light on the intersection between populist communication and Facebook campaigns in the context of the 2019 general elections in Greece. Specifically, the study focuses on how populist actors in Greece campaigned on Facebook and examines their communicative performance in terms of user engagement in comparison with that of their opponents. For this purpose, a quantitative content analysis was performed by analyzing the Facebook posts published by populist and non-populist candidates over one week preceding the July 7 elections. Results suggest that candidates from populist parties, such as SYRIZA (Coalition of the Radical Left) and EL (Greek Solution), were outpaced by the mainstream New Democracy party that won the election. Moreover, significant differences are observed between populist and non-populist actors regarding the communication strategies utilized. Results suggest that different communication strategies have varying effects on user engagement depending on the populist identity of candidates, as well as their position in the left-right political spectrum. Several practical implications are proposed regarding the effective orchestration of Facebook campaigns by populist and non-populist actors.
Optimal Allocation and Sizing of PV Generation Units in Distribution Networks via the Generalized Normal Distribution Optimization Approach

The problem of optimal siting and dimensioning of photovoltaic (PV) generators in medium-voltage distribution networks is addressed in this research from the perspective of combinatorial optimization. The exact mixed-integer programming (MINLP) model is solved using a master–slave (MS) optimization approach. In the master stage, the generalized normal distribution optimization (GNDO) with a discrete–continuous codification is used to represent the locations and sizes of the PV generators. In the slave stage, the generalization of the backward/forward power method, known as the successive approximation power flow method, is adopted. Numerical simulations in the IEEE 33-bus and 69-bus systems demonstrated that the GNDO approach is the most efficient method for solving the exact MINLP model, as it obtained better results than the genetic algorithm, vortex-search algorithm, Newton-metaheuristic optimizer, and exact solution using the General Algebraic Modeling System (GAMS) software with the BONMIN solver. Simulations showed that, on average, the proposed MS optimizer reduced the total annual operative costs by approximately 27% for both test feeders when compared with the reference case. In addition, variations in renewable generation availability showed that from 30% ahead, positive reductions with respect to the reference case were obtained.
An End-to-End Method to Extract Information from Vietnamese ID Card Images

Information extraction from ID cards plays an important role in many daily activities, such as legal, banking, insurance, or health services. However, in many developing countries, such as Vietnam, it is mostly carried out manually, which is time-consuming, tedious, and may be prone to errors. Therefore, in this paper, we propose an end-to-end method to extract information from Vietnamese ID card images. The proposed method contains three steps with four neural networks and two image processing techniques, including U-Net, VGG16, Contour detection, and Hough transformation to pre-process input card images, CRAFT, and Rebia neural network for Optical Character Recognition, and Levenshtein distance and regular expression to post-process extracted information. In addition, a dataset, including 3.256 Vietnamese ID cards, 400k manual annotated text, and more than 500k synthetic text, was built for verifying our methods. The results of an empirical experiment conducted on our self-collected dataset indicate that the proposed method achieves a high accuracy of 94%, 99.5%, and 98.3% for card segmentation, classification, and text recognition. Keywords—Optical character recognition; U-Net network; VGG16 network; CRAFT network; rebia network
Understanding Differential Growth During School Years and Summers for Students in Special Education

Abstract Under the Individuals with Disabilities Education Act, schools are required to provide a free appropriate public education to students with disabilities and show that the students are making academic progress. This study compares within- and across-years academic growth from kindergarten to 4th grade for students who were ever in special education (ever-SPED) to students who were never in special education (never-SPED). We use math and reading assessment scores from NWEA’s Growth Research Database. Our dataset contains one cohort of about 4,200 students, assessed up to three times per year for five years. Although ever-SPED students started kindergarten with lower math and reading test scores and grew less in both subjects than never-SPED students during the kindergarten school year, ever-SPED students grew more than never-SPED students during the 1st and 2nd grade school years in math and 1st, 3rd, and 4th grade school years in reading. However, ever-SPED students lost more learning during every summer than never-SPED students. This led the test score disparities between the two to grow from under 0.5 standard deviations in kindergarten to 1.0 standard deviation in 4th grade. These findings suggest that summer learning opportunities are crucial for improving educational outcomes for students with disabilities.
Combining Radiotherapy and Immunotherapy in Metastatic Breast Cancer: Current Status and Future Directions

The role of radiotherapy and immunotherapy with immune checkpoint inhibitors (ICI) is of emerging interest in many solid tumours, including breast cancer. There is increasing evidence that the host’s immune system plays an important role in influencing the response to treatment and prognosis in breast cancer. Several pre-clinical studies and clinical trials have reported on the ‘abscopal effect—regression of distant untreated tumour sites, mediated by an immunological response following ionizing radiation to a targeted tumour site. Stereotactic Ablative Body Radiotherapy (SABR) is a non-invasive technique used to augment various immune responses with an ablative tumoricidal dose when compared to conventional radiotherapy. SABR is characterized by typically 1–5 precision radiotherapy treatments that simultaneously deliver a high dose, whilst sparing normal tissues. Following SABR, there is evidence of systemic immune activation in patients with increased PD1 expression on CD8+ and CD4+ T cells. Studies continue to focus on metastatic triple-negative disease, a highly immunogenic subtype of breast cancer with poor prognosis. In this review, we discuss the immunological effect of SABR, alone and in combination with immunotherapy, and the importance of dose and fractionation. We also propose future strategies for treating oligometastatic disease, where this approach may be most useful for producing durable responses.
A Single-Day Training for Managers Reduces Cognitive Stigma Regarding Mental Health Problems: A Randomized Trial

Background: Mental illnesses have received increasing attention in the work context in recent years, yet they are still often accompanied by stigma. One starting point for stigma reduction is interventions in the workplace. The present study evaluated a one-day workshop for managers in a large company. Method: Enrolled managers (n = 70) were randomly assigned to the intervention group and the waiting control group. The training included a theoretical section on mental and stress-related diseases as well as the interplay between work and health, group work on personal stress experience, theoretical input on dealing with mentally ill employees, and a group discussion on this topic along with case studies. Both groups completed the following questionnaires at baseline and three months after training: Effort–Reward Imbalance Questionnaire, Patient Health Questionnaire, Mental Health Knowledge Schedule, Social Distance Scale, and the Irritation Scale. Results: Compared to the waiting group, the intervention group showed a significant improvement in the Mental Health Knowledge Schedule (U = 417.00, p = 0.040) and an increase in the Irritation Scale (U = 371.50 p = 0.011). All other scales remained unchanged. Conclusion: The content and duration of the training were adequate to reduce cognitive stigma towards mental illness. However, the present approach was not sufficient for an improvement in the subjective stress level of the participating managers.
Fatigue, Depression, and Anxiety Among Ambulating Multiple Sclerosis Patients

Background Multiple sclerosis (MS) is an inflammatory disease associated with adverse effects: including depression, anxiety, fatigue, which may affect physical activity and the quality of life (QoL) among patients with MS (pwMS). Objective This study aims to assess the prevalence of depression, anxiety, and fatigue among pwMS who have no physical disability in Saudi Arabia, and demonstrate any correlation between these factors and physical activity as well as the QoL. Methods A cross-sectional study was conducted in the Neuroimmunology outpatient clinics in King Fahad Medical City (KFMC) and King Saud University Medical City (KSUMC) in Riyadh City, KSA. The Arabic version of the Hospital Anxiety and Depression Scale (HADS) was used to measure anxiety and depression levels. The HADS scores were then categorized into three levels according to the total points: normal (0–7 points), borderline (7–10 points), and anxiety/depression (11 – 21 points). The Arabic version of the Fatigue Severity Scale (FSS) was used to measure fatigue (cut-off point ≥5). The physical activity was measured by the Arabic version of the short form of the International Physical Activity Questionnaire (IPAQ), which measure time spent walking, moderate- and vigorous-intensity physical activity of at least 10 minutes duration. The QoL was also measured by the Arabic version of the EuroQOL five-dimensional (EQ-5D-3L) instrument (i.e., mobility, self-care, usual activities, pain/discomfort, and anxiety/depression). Results A total of 323 pwMS participated in this study, 83 had scores that indicated anxiety (25.7%) and 44 had depression (13.6%). The majority of patients had scores with the normal range of depression and anxiety (70% and 57% respectively). The mean of EuroQol Group visual analogue scale (EQ-VAS) score was 80.43 (SD=19.8). 156 (48.3%) out of 323 pwMS reported fatigue while the remainder had no fatigue (n=167, 51.7%). The results indicate that only 143 patients (44.3%) had participated in vigorous physical activity during the last 70 days, with a median of 3 days per week (IQR= 5–3) and a median of 60 minutes per day 0 (Interquartile range: IQR = 60–30). Only 149 patients (49.2%) had patricpated in moderate physical activities during the previous week with a median of 3 days per week (IQR = 5–3) and a median of 40 minutes per day (IQR = 60–30). 194 patients had participated in walking activities (60.0%) with a median of 5 days per week (IQR = 7–3) and a median of 45 minutes per day (IQR = 60–30). The results revealed that fatigue was positively correlated with depression (r = 0.407, p-value < 0.001) and anxiety (r = 0.289, p-value < 0.001). Conclusion The current study shows depression, anxiety, and fatigue tend to be correlated and clustered together among pwMS in our cohort. However, fatigue is not associated with the intensity of physical activity undertaken. The results of this study are important for the improvement of the clinical management of MS patients.
Evaluation of the Links between Lamb Feed Efficiency and Rumen and Plasma Metabolomic Data

Feed efficiency is one of the keystones that could help make animal production less costly and more environmentally friendly. Residual feed intake (RFI) is a widely used criterion to measure feed efficiency by regressing intake on the main energy sinks. We investigated rumen and plasma metabolomic data on Romane male lambs that had been genetically selected for either feed efficiency (line rfi−) or inefficiency (line rfi+). These investigations were conducted both during the growth phase under a 100% concentrate diet and later on under a mixed diet to identify differential metabolite expression and to link it to biological phenomena that could explain differences in feed efficiency. Nuclear magnetic resonance (NMR) data were analyzed using partial least squares discriminant analysis (PLS-DA), and correlations between metabolites’ relative concentrations were estimated to identify relationships between them. High levels of plasma citrate and malate were associated with genetically efficient animals, while high levels of amino acids such as L-threonine, L-serine, and L-leucine as well as beta-hydroxyisovalerate were associated with genetically inefficient animals under both diets. The two divergent lines could not be discriminated using rumen metabolites. Based on phenotypic residual feed intake (RFI), efficient and inefficient animals were discriminated using plasma metabolites determined under a 100% concentrate diet, but no discrimination was observed with plasma metabolites under a mixed diet or with rumen metabolites regardless of diet. Plasma amino acids, citrate, and malate were the most discriminant metabolites, suggesting that protein turnover and the mitochondrial production of energy could be the main phenomena that differ between efficient and inefficient Romane lambs.
Randomized Controlled Trial Comparing a Multidisciplinary Intervention by a Geriatrician and a Cardiologist to Usual Care after a Heart Failure Hospitalization in Older Patients: The SENECOR Study

Background: The prognosis of older patients after a heart failure (HF) hospitalization is poor. Methods: In this randomized trial, we consecutively assigned 150 patients 75 years old or older with a recent heart failure hospitalization to follow-up by a cardiologist (control) or follow-up by a cardiologist and a geriatrician (intervention). The primary outcome was all-cause hospitalization at a one-year follow-up. Results: All-cause hospitalization occurred in 47 of 75 patients (62.7%) in the intervention group and in 58 of 75 patients (77.3%) in the control group (hazard ratio, 0.67; 95% confidence interval, 0.46 to 0.99; p = 0.046). The number of patients with at least one HF hospitalization was similar in both groups (34.7% in the intervention group vs. 40% in the control group, p = 0.5). There were a total of 236 hospitalizations during the study period. The main reasons for hospitalization were heart failure (38.1%) and infection (14.8%). Mortality was 24.7%. Heart failure was the leading cause of mortality (54.1% of all deaths), without differences between groups. Conclusions: A follow-up by a cardiologist and geriatrician in older patients after an HF hospitalization was superior to a cardiologist’s follow-up in reducing all-cause hospitalization in older patients. (Funded by Beca Primitivo de la Vega, Fundación MAPFRE. ClinicalTrials.gov number, NCT03555318).