Miracle-dz/UniFAR-FTUs huggingface dataset:
Feasibility and Effectiveness of a Worksite-Weight-Loss Program for Cancer Prevention among School-District Employees with Overweight and Obesity

The effects of Vibrant Lives, a 6-month worksite-weight-loss program, were examined in a cohort of school-district employees with overweight or obesity. The VL Basic (VLB) participants received materials and tailored text messages, the VL Plus (VLP) participants additionally received WIFI-enabled activity monitors and scales and participated in health challenges throughout the school year, and the VL Plus with Support (VLP + S) participants additionally received coaching support. The levels of program satisfaction and retention and changes in weight, physical activity (PA), and diet were compared across groups using Pearson chi-square tests, repeated-measure mixed models, and logistic regression. After the program, the VLB (n = 131), VLP (n = 87), and VLP + S (n = 88) groups had average weight losses of 2.5, 2.5, and 3.4 kg, respectively, and average increases in weekly PA of 40.4, 35.8, and 65.7 min, respectively. The VLP + S participants were more likely than the other participants to have clinically significant weight loss (≥3%; p = 0.026). Compared with the VLB participants, the VLP participants were less likely to meet the recommendations for consuming fast food (p = 0.022) and sugar-sweetened beverages (p = 0.010). The VLP and VLP + S participants reported higher program satisfaction than the VLB participants. The VL program facilitates weight loss among school-district employees with overweight and obesity by increasing their PA and healthy diet.
Electroviscous Transport Problems via Lattice-Boltzmann

The application of lattice-Boltzmann methods to electroviscous transport problems is discussed, generalising the moment propagation method for convective-diffusion problems. As a simple application, electro-osmotic flow in a parallel-sided slit is analysed, and the results compared favourably with available analytic solutions for this geometry.
Determination of Pollution and Environmental Risk Assessment of Stormwater and the Receiving River, Case Study of the Sudół River Catchment, Poland

Changes in the land use of urban catchments and the discharge of stormwater to rivers are causing surface water pollution. Measurements were taken of the quality of discharged stormwater from two areas with different types of development: a residential area and a residential–commercial area, as well as the quality of the Sudół River water below the sewer outlets. The following indicators were studied: TSS, COD, N–NO3, N–NO2, TKN, TN, TP, Zn, Cu, Hg, HOI, and PAHs. The influence of land use on the magnitudes of flows in the river was modeled using the SCS–CN method and the Snyder Unit Hydrograph Model. The results showed an increase in sealing and a resulting increase in surface runoff. Concentrations of pollutants in stormwater and analysis of the potential amounts of loadings contributed by the analyzed stormwater outlets indicate that they may be responsible for the failure to meet environmental targets in the Sudół River. Environmental risk assessment shows that the aquatic ecosystem is at risk. A risk factor indicating a high risk of adverse environmental effects was determined for N–NO3, Zn, and Cu, among others.
Investigation of the Fuzzy Complex between RSV Nucleoprotein and Phosphoprotein to Optimize an Inhibition Assay by Fluorescence Polarization

The interaction between Respiratory Syncytial Virus phosphoprotein P and nucleoprotein N is essential for the formation of the holo RSV polymerase that carries out replication. In vitro screening of antivirals targeting the N-P protein interaction requires a molecular interaction model, ideally consisting of a complex between N protein and a short peptide corresponding to the C-terminal tail of the P protein. However, the flexibility of C-terminal P peptides as well as their phosphorylation status play a role in binding and may bias the outcome of an inhibition assay. We therefore investigated binding affinities and dynamics of this interaction by testing two N protein constructs and P peptides of different lengths and composition, using nuclear magnetic resonance and fluorescence polarization (FP). We show that, although the last C-terminal Phe241 residue is the main determinant for anchoring P to N, only longer peptides afford sub-micromolar affinity, despite increasing mobility towards the N-terminus. We investigated competitive binding by peptides and small compounds, including molecules used as fluorescent labels in FP. Based on these results, we draw optimized parameters for a robust RSV N-P inhibition assay and validated this assay with the M76 molecule, which displays antiviral properties, for further screening of chemical libraries.
Good Corporate Governance and Financial Performance: Moderating Effects of Company Size

This study aims to determine the effect of components of good corporate governance, namely the size of a board of directors, independent board of commissioners, and audit committee size, on company performance as proxied by ROA with company size as moderating variable. A total of 65 samples were used. The data processing method used in this research is panel data regression analysis and Moderated Regression Analysis (MRA) using Eviews 10 software. The result showed the size of the board of directors and the independent board of commissioners do not affect ROA, and only the audit committee affects ROA. The result also showed company size does not moderate the relationship between the size of the board of directors and the size of the independent commissioners on ROA; company size can weaken the relationship between the size of the audit committee and ROA
Ellipse Detection Combining Region Detection and Arc Filtering

: Ellipse detection is a hot issue in the field of computer vision, and how to detect ellipses quickly and accurately, especially small ellipses with low resolution, is the main challenge of this problem. First, ellipses data sets of different sizes are constructed, and the region detection method in deep learning is introduced into the ellipse detection process. Furthermore, a two-stage arc filtering strategy is proposed based on quadratic curve constraints, which can effectively detect nested ellipses and reduce the number of missed and false positive detections. Finally, the bicubic interpolation method is employed to enlarge the area for small ellipses detection. The experimental results demonstrate the proposed method has a significant improvement in detection accuracy with competitive speed. Especially, on the small ellipse data set, the detection accuracy of the proposed method is more than two times of the traditional arc-based methods.
SAFE for PTSD: noncontact psychophysiological measure based on high-resolution thermal imaging to aid in PTSD diagnosis and assessment of treatment

Post Traumatic Stress Disorder (PTSD) sometimes develops following exposure to very stressful or traumatic events such as motor vehicle accidents, rape, and war. It is arguably the signature injury of the conflicts in Iraq and Afghanistan. Previous studies have demonstrated that PTSD sufferers exhibit autonomic hyper-responsiveness to both neutral and trauma-related stimuli. In this study, we propose using high resolution thermal imaging of sweat-pores to obtain a noncontact, remote, and quantifiable measure of the sympathetic autonomic nervous reactivity to guide diagnosis, assess response to treatment, and tease out important cues to suicidality as a PTSD comorbidity.
Rate coefficients for the excitation of infrared and ultraviolet lines in C II, N III, and O IV

New and improved collision strengths and Maxwellian-averaged rate coefficients for temperatures between 1000 and 40,000 K are presented for all the prominent transitions in the spectra of C II, N III, and O IV. The collision strengths show extensive autoionization structures that are delineated in detail and which enhance the rate coefficients for several transitions by a considerable amount. Maxwellian-averaged collision strengths are calculated for all possible fine-structure transitions along the states included in the eigenfunction expansion of the target ion. All calculations are carried out in the close-coupling approximation using the R-matrix method as adapted for the Opacity Project.
On the Topology of Certain Algebraic Threefold Loci

The study of the topological properties of algebraic surfaces, considered as continua of four real dimensions, has thrown much light on the theory of the birational invariants of such loci. The results obtained for surfaces have been generalised to varieties of higher dimension by Hodge, and, particularly, by Lefschetz. Apart from this, little seems to be known about the general topological properties of algebraic loci of three (or more) dimensions, the detailed study of which seems to present considerable difficulty. In particular, apart from the general theorems of Lefschetz, nothing seems to be known about the cycles of three dimensions of an algebraic V 3 . The object of the present paper is to study these cycles on certain quite special V 3 , in the hope that some insight may be gained into the general theory.
Optimal mode of delivery in pregnancy: Individualized predictions using national vital statistics data

Child birth via Cesarean section accounts for approximately 32% of all births each year in the United States. A variety of risk factors and complications can lead caregivers and patients to plan for a Cesarean delivery in advance before onset of labor. However, a non-trivial subset of Cesarean sections (∼25%) are unplanned and occur after an initial trial of labor is attempted. Unfortunately, patients who deliver via unplanned Cesarean sections have increased maternal morbidity and mortality rates and higher rates of neonatal intensive care admissions. In an effort to develop models aimed at improving health outcomes in labor and delivery, this work seeks to explore the use of national vital statistics data to quantify the likelihood of an unplanned Cesarean section based on 22 maternal characteristics. Machine learning techniques are used to ascertain influential features, train and evaluate models, and assess accuracy against available test data. Based on cross-validation results from a large training cohort (n = 6,530,467 births), the gradient-boosted tree algorithm was identified as the best performer and was evaluated on a large test cohort (n = 10,613,877 births) for two prediction scenarios. Area under the receiver operating characteristic curves of 0.77 or higher and recall scores of 0.78 or higher were obtained and the resulting models are well calibrated. Combined with feature importance analysis to explain why certain maternal characteristics lead to a specific prediction in individual patients, the developed analysis pipeline provides additional quantitative information to aid in the decision process on whether to plan for a Cesarean section in advance, a substantially safer option among women at a high risk of unplanned Cesarean delivery during labor.
Microbiome and Metabolomics in Liver Cancer: Scientific Technology

Primary liver cancer is a heterogeneous disease. Liver cancer metabolism includes both the reprogramming of intracellular metabolism to enable cancer cells to proliferate inappropriately and adapt to the tumor microenvironment and fluctuations in regular tissue metabolism. Currently, metabolomics and metabolite profiling in liver cirrhosis, liver cancer, and hepatocellular carcinoma (HCC) have been in the spotlight in terms of cancer diagnosis, monitoring, and therapy. Metabolomics is the global analysis of small molecules, chemicals, and metabolites. Metabolomics technologies can provide critical information about the liver cancer state. Here, we review how liver cirrhosis, liver cancer, and HCC therapies interact with metabolism at the cellular and systemic levels. An overview of liver metabolomics is provided, with a focus on currently available technologies and how they have been used in clinical and translational research. We also list scalable methods, including chemometrics, followed by pathway processing in liver cancer. We conclude that important drivers of metabolomics science and scientific technologies are novel therapeutic tools and liver cancer biomarker analysis.
Negative fuse network

The authors describe the negative fuse, an analog model which encourages boundary completion in early vision regularization algorithms. This algorithm is an extension of the successful implementation of line processes in analog VLSI using the resistive fuse (Harris et al.). The negative fuse provides for true negative resistance regions for the enhancement of edges, making long connected edges more likely to occur. This model has a natural mapping into inexpensive, fast, low-power analog hardware. The authors discuss the performance of a negative fuse element fabricated in VLSI and show simulations of network performance on digitized camera images.
Management of Parung Ponteng Cadres in the Prolanis Program with a DM and Hypertension Preventive Approach

For three years at the Parung Ponten Community Health Center, program activities for chronic disease management have been carried out in the form of sports, health monitoring, and counseling. Community service activities are carried out for BPJS participants who are registered at the Parong Ponteng Health Center who have chronic diseases (hypertension and DM) with the aim of motivating participants to live healthy so that their illnesses are controlled. The method used is in the form of routine counseling to participants on matters related to hypertension and DM, given a leaflet containing a summary of counseling material and disease management. The results of AKPER YJK Community Service were that more participants had their blood pressure and blood sugar levels under control after eight weeks. Participants also experienced other benefits by actively participating in this activity. It is recommended to the management of the Parong Ponten Health Center to continue to carry out this Prolanis activity on a regular basis.
Alpha Decay Half-Lives Calculation of Even-Even Nuclei in the62≤Z≤100Region using Woods-Saxon Potential

Alpha decay properties of even-even nuclei in the 62 ≤ Z ≤ 100 region are investigated within the Unified Fission Model based on a Modified Woods-Saxon potential. The computed alpha decay half-lives are compared to experimental data and are found to be in good agreement with it. The acquired pattern of the variation of alpha decay half-lives as a function of neutron number are explained by the nuclear shell effect. The experimental alpha decay energy Q is found to have an inverse relation with the alpha decay half-lives. This work has shown that the Unified Fission Model based on a Modified Woods-Saxon potential is sufficient to obtain the values of alpha decay half-lives.
The physics of DNA stretching

Recent progress in experimental micromanipulation techniques allows single biomolecules, such as DNA, to be mechanically distorted under controlled conditions. As well as providing a wealth of new biochemical information, these experiments are also driving advances in statistical physics and non-equilibrium thermodynamics as theorists extend well established statistical methods to include a description of complex biomolecules at the single molecule level. This article will describe the physical ideas that are necessary to understand the wide range of experiments that stretch individual DNA molecules. These experiments operate in three distinct time regimes relative to thermal noise and therefore require three different branches of physics to understand them. Experiments, which stretch long DNA helices, are well described by equilibrium thermodynamics up until the point at which the molecule is irreversibly distorted, where non-equilibrium ideas apply. Short DNA sequences are only marginally stable at room temperature, therefore their response to an external force is dominated by thermal effects. These experiments are able to probe the kinetics of thermally activated processes in biomolecules in more detail than has been previously possible.
Ability of Emotional Regulation and Control as a Stress Predictor in Healthcare Professionals

Emotional Regulation and Control implies a person’s ability to respond to stressful demands and emotional experiences in a socially acceptable and adaptive way. The aim of this cross-sectional study was to examine the contribution of the ability of emotional regulation and control in the prediction of workplace stress in healthcare professionals. The study included 203 healthcare professionals employed at a hospital in the Republic of Croatia. Data were collected using two validated questionnaires: Questionnaire on Workplace Stressors for Hospital Professionals and Emotional Regulation and Control Questionnaire (ERC). Most respondents (64%) experienced stress in Workplace Organization and Financial Issues factor, while 52.7% experienced stress in Public Criticism factor. The respondents assessed their ability of emotional regulation and control to be low (mean = 55; range = 20–100). The level of experienced stress was significantly higher if the ability of emotional regulation and control was low (Spearman’s Rho = 0.308; p < 0.001). The multivariate regression model (11.2% explained variances; p = 0.001) indicated a greater possibility of severe stress in respondents who have stronger Memory of Emotionally Saturated Content (odds ratio = 1.18; 95% CI = 1.07–1.30). The results of this study signify the need to establish effective institutional support aimed at objectifying stress and strengthening emotional intelligence and empathy in healthcare professionals.
The Essence Of Noise In Nature With Reference To Acoustics

Noise appears in all areas of science and technology, and involves everything in life. The paper shows that noise represents life itself, because it is not deterministic, and because it involves uncertainty. It can be described by mathematical formulation that illustrates various topics in an abstract way which leads to general conclusions. The paper reviews noise that exists in nature and in technology, such as molecular Brownian motion, stochastic resonance, stock market fluctuations including similarity, stochastic fractals, random walk theories, movement ecology, and others. A list of some applications of positive noise concludes the paper.
The Chromosphere of Beta Cassiopeiae

High-resolution, long-wavelength IUE observations and ground-based photometry of the Delta Scuti star Beta Cas is reported. The ground-based observations were used together with previous results of Antonello et al. (1986) to ensure that the IUE observations were correctly phased relative to the photometric variation. Fluxes for the emission core of the Mg II k 2796-A line were obtained from the UV spectra over several cycles in 1986 and 1987. It is found that there is an increase in the emission during part of the cycle, but it occurs near minimum light in contrast to another Delta Scuti star, Rho Pup, and the classical Cepheids (where it occurs near maximum light). The mean level of chromospheric activity is comparable to other early F dwarfs. 16 refs.
A genetic algorithm for dynamic inbound ordering and outbound dispatching problem with delivery time windows

This article considers an inbound ordering and outbound dispatching problem for a single product in a third-party warehouse, where the demands are dynamic over a discrete and finite time horizon, and moreover, each demand has a time window in which it must be satisfied. Replenishing orders are shipped in containers and the freight cost is proportional to the number of containers used. The problem is classified into two cases, i.e. non-split demand case and split demand case, and a mathematical model for each case is presented. An in-depth analysis of the models shows that they are very complicated and difficult to find optimal solutions as the problem size becomes large. Therefore, genetic algorithm (GA) based heuristic approaches are designed to solve the problems in a reasonable time. To validate and evaluate the algorithms, finally, some computational experiments are conducted.
Evaluation of a Protocol for Diagnosis and Treatment of Primary Congenital Glaucoma in Tanta University Eye Hospital

Background: Primary congenital glaucoma is the most common type of glaucoma in infancy. It manifests within the first few years of life and is not associated with any other systemic or ocular abnormalities. This study aimed to evaluate a protocol for diagnosis and treatment of primary congenital glaucoma at Tanta University Eye Hospital. Methods: The study was prospective interventional on 60 eyes of 36 infants and children who presented between December 2018 to March 2021 at Tanta University Eye Hospital in Egypt. All patients were presented with primary congenital glaucoma and were managed according to specific diagnostic, therapeutic and follow up regimen. Pre- and Post-operative clinical data were recorded, and results were studied. Results: The mean of age±SD (range) at first presentation was 11.33±21.76 (0.5-120) months and of follow-up period was 7.85±2.71 (4-13) months. The mean of pre-operative IOP, corneal diameter, C/D ratio and AxL was 24.1±5.9 (12–41.5) mmHg, 12.97±0.69 (11–14.5) mm, 0.57±0.18 (0.2–0.9) and 21.87±1.28 (19.1–26.8) mm respectively, and post-operatively was 14.4±3.09 (8.5–20.5) mmHg, 12.71±0.89 (11–14.5) mm, 0.48±0.22 (0.2–1) and 22.16±1.53 (19–25.9) mm respectively. Surgical interventions included 1ry surgeries (trabeculotomy in 21 eyes and CTT with MMC in 39 eyes), 2ry surgeries (CTT with MMC in four eyes) and 3ry surgery (Ahmed valve implantation in one eye). Complete success was achieved in 38 eyes (63.3%) and qualified success in 22 eyes (36.7%). Conclusions: The current protocol applied at Tanta University Eye Hospital for diagnosis and treatment of primary congenital glaucoma proved efficacy and safety. Primary surgical intervention in the form of trabeculotomy (for mild cases) and combined trabeculotomy-trabeculectomy with MMC (for moderate to advanced cases) is a successful regimen for management of these eyes.