Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of 12 Weeks of Family and Individual Multi-Disciplinary Intervention in Overweight and Obese Adolescents under Cardiometabolic Risk Parameters: A Clinical Trial

Adolescence is a complex period of human development in which young people are susceptible to unhealthy behaviors, such as physical inactivity and an unbalanced diet. This study aimed to analyze the effects of 12 weeks of multi-disciplinary family and individual intervention on cardiometabolic risk parameters in overweight and obese adolescents and compare sub-groups, considering possible differences between sexes (males vs. females vs. intervention approach). Forty-three adolescents (13.73 ± 2.46 years old) of both sexes were divided into two groups: family group (FG) (n = 21; 14.24 ± 2.61 years old) and individual group (IG) (n = 22; 13.23 ± 2.27 years old). The following parameters were evaluated: anthropometry (body weight, height, waist circumference (WC), hip circumference (HC), abdominal circumference (AC), calculation of body mass index (BMI), and waist–hip ratio (WHR)), body composition (fat mass (FM), lean mass (LM), fat-free mass (FFM), skeletal muscle mass (SMM), body fat percentage (BF), and visceral fat), biochemical measures (fasting glucose, triglycerides (TG), total cholesterol (TC), low-density lipoproteins (LDL-c), and high-density lipoproteins (HDL-c)), and the measurement of systolic and diastolic blood pressure (SBP and DBP) before and after the interventions. The multi-disciplinary interventions occurred for 12 weeks (three days a week lasting 1 h and 30 min, in which 30 min were dedicated to theoretical interventions (nutrition: nutritional education and psychology: psychoeducation) and 1 h to physical exercises. A time effect was observed for LM, FFM, SMM, FM, and HDL-c, with higher values after intervention and a significant decrease for FM, BF, visceral fat, fasting glucose, TG, TC, LDL-c, and DBP (p < 0.05). However, no group, sub-group, or interaction effects were observed when comparing FG, IG, or sexes (p > 0.05). The responses of the present study show that both multi-disciplinary approaches (family and individual) promoted improvement in the body composition indicators, biochemical markers, and DBP of overweight and obese adolescents independently of the intervention group. Given this finding, health professionals, families, and adolescents could choose the type of intervention based on their preferences.
A contribution to the theoretical-experimental investigation of transverse vibrations of the controlling lever of a commercial motor vehicle

During exploitation, commercial motor vehicles are exposed to various types of loads, among which vibrations are of particular importance. Vibrations lead to fatigue of vehicle users and materials of their components. Therefore, they must be studied in the earliest stages of design, using mathematical models, experiments, or their combinations. In theoretical considerations, vibrations of concentrated masses are usually observed, although recently, with the development of numerical methods (especially finite element methods), attention has also been paid to the vibrations of elastic systems of these vehicles. In such cases, simplifications are usually made, especially regarding exploitation conditions and interconnections of vehicle components. This paper attempts to develop a method for identifying vibrational loads on the controlling lever under exploitation conditions, using a two-parameter frequency analysis with the use of 2 D Fourier transform. The applicability of the procedure is illustrated on an idealized model of the controlling lever, and the conducted research has shown that the two-parameter frequency analysis can also be used to generate transverse vibrations in laboratory conditions.
Development of an Optimal Port Crane Trajectory for Reduced Energy Consumption

This paper is concerned with the development of an optimal load-handling trajectory for port cranes. The objective is to minimize load cycle time and reduce energy consumption. Energetic macroscopic representation formalism is used to model a port crane load-handling mechanism. The crane model developed includes the mathematical model, the crane’s local control system, and a MATLAB/Simulink model for simulation. The particle swarm optimization algorithm is used to find the set of pareto optimal crane trajectories given the variation in crane size, ship size, and wind speed. Experimental validation of the crane model is conducted by comparing it with a real-world crane. Simulation results show that the optimal crane load trajectory is 38% faster and more productive than the nonoptimal crane load trajectory. Furthermore, the results show that the optimal trajectory reduces the cranes’ peak power and energy consumption by 36% when compared with the nonoptimal trajectory.
Algal biomass and pigments along a latitudinal gradient in Victoria Land lakes, East Antarctica

It is generally accepted that Antarctic terrestrial diversity decreases as latitude increases, but latitudinal patterns of several organisms are not always as clear as expected. The Victoria Land region is rich in lakes and ponds and spans 8 degrees of latitude that encompasses gradients in factors such as solar radiation, temperature, ice cover and day length. An understanding of the links between latitudinally driven environmental and biodiversity changes is essential to the understanding of the ecology and evolution of Antarctic biota and the formulation of hypotheses about likely future changes in biodiversity. As several studies have demonstrated that photosynthetic pigments are an excellent, although underused, tool for the study of lacustrine algal communities, the aim of the present study was to investigate variations in algal biomass and biodiversity across the latitudinal gradient of Victoria Land using sedimentary pigments. We test the hypothesis that the biodiversity of freshwater environments decreases as latitude increases. On the basis of our results, we propose using the number of sedimentary pigments as a proxy for algal diversity and the sum of chlorophyll a and bacteriochlorophyll a with their degradation derivatives as an index of biomass. Overall, our data show that biomass and diversity decrease as latitude increases but local environmental conditions, in particular, natural levels of eutrophy, can affect both productivity and diversity.
Evidence of Potential Organo-Mineral Interactions during the First Stage of Mars Terraforming

Future space missions to Mars will depend on the development of bioregenerative life support systems. Mars regolith contains most of the nutrients needed for plant growth, but not organic matter (OM). Although Mars simulants have been deeply characterized and tested as growing media, no data are available about their possible modification occurring during terraforming, including the interaction of exogeneous OM with iron (Fe) oxides, particularly abundant in Mars regolith. The aim of this study was to investigate the mineral transformation and the OM evolution occurring in the early stages of the terraforming process. Potato was grown for 99 days on Mojave Mars Simulant MMS-1, alone (R100) and mixed with a compost 70:30 v:v (R70C30), and on a fluvial sand, alone (S100) and mixed with compost (S70C30), for comparison. Bulk (BK) and potato tubero/rhizo-sphere (RH) soils were fractionated to obtain particulate OM (POM) and mineral-associated OM (MAOM). Bulk samples and corresponding fractions were characterized for total nitrogen and organic carbon (C) and analyzed by Fe K-edge X-ray absorption near-edge structure (XANES) and extended X-ray absorption fine structure (EXAFS) spectroscopy. Organic C increased by 10 and 25 times in S70C30 and R70C30, respectively, compared to S100 and R100. Most of the organic C accumulated in the POM fraction of both growing substrates, while its content in the MAOM was 3 times higher in R70C30 than in S70C30. No significant differences between BK and RH were found. Finally, ferrihydrite mediated exogenous OM stabilization in regolith-based substrates, while Fe(III)-OM complexes were detected exclusively in sand-based growing media. Understanding mechanisms and testing potential sustainable practices for creating Mars regolith similar to terrestrial soil will be fundamental to sustain food crop production on Mars.
UvA-DARE (

This report describes two methods implemented for the CLEF eHealth 2016 Task 1 challenge. They consist of: a) a feed forward neural network; and b) a random forest for classiﬁcation and a feed forward neural net, applied to automatically ﬁll in medical handover forms us-ing synthetic medical records as inputs. Both approaches are interesting because they rely on word embeddings, are domain independent, and are feature engineering free. We discuss the complexity of the task, and the impact in our models, having too many output classes and a limited amount of training data. The performance of the methods are based on traditional classiﬁcation metrics (e.g. precision, recall, and f1-score) on the macro and micro averaged level, and focus on two sets of labels: a) the ”NA” tag, which recognize data that is irrelevant and therefore should be excluded from the form; and b) all other tags, which account for the diﬀerent ﬁelds of the form. The neural network achieved an F1-score of 0.8 (for the ”NA” tag) and a macro-averaged F1-score of 0.308 and a micro-averaged result of 0.514 (for the remaining categories), while the ensemble pipeline got 0.813 (for the ”NA” tag) and 0.345 and 0.503 for the macro-and micro-averaged rates on the rest of the labels.
Associations of HSD11B1 Polymorphisms with Tacrolimus Concentrations in Chinese Renal Transplant Recipients with Prednisone Combined Therapy

Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China (X.L., J.L., S.L., Y.Z., X.W., C.Z., M.H.) Kidney Transplant Department, Transplant Center, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China (Q.F. , H.W., J.L., C.W.) Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China (S.L.) School of Pharmaceutical Sciences, Guangzhou Medical University, Guangzhou, China (Y.Z.) This article has not been copyedited and formatted. The final version may differ from this version. DMD Fast Forward. Published on January 13, 2015 as DOI: 10.1124/dmd.114. 062117
Efficiency evaluation of investment in expanding the capacity of the rubber industry company

The aim of this paper is to determine and evaluate the economic efficiency of investment of the company from the field of rubber industry in the injection molding press and tool, with which the company expands the capacities intended for the production of rubber seals. The effects of the investment were estimated using the payback period, as a static method of investment efficiency evaluation, as well as the net present value and profitability index, as dynamic methods. In addition, in paper was used sensitivity analysis, as a method for evaluation of investment in conditions of uncertainty. The obtained results showed that the payback period of the investment is 2.93 years, while the net present value of the investment is 149,914 euros, and the profitability index is 1.79. All the obtained results indicate that the investment should be implemented. In addition, the sensitivity analysis, whose focus was primarily to consider the impact of increased material costs, on the results of the investment evaluation methods used, showed that the project is acceptable in all considered cases, because it contributes to increasing value of the company.
Identification of Destruction Processes and Assessment of Deformations in Compressed Concrete Modified with Polypropylene Fibers Exposed to Fire Temperatures Using Acoustic Emission Signal Analysis, Numerical Analysis, and Digital Image Correlation

This article presents the results of tests conducted to identify the failure process and evaluate the deformation of axially compressed concrete specimens modified with polypropylene fibers (PP). The test specimens were previously stored at ambient temperature and subjected to fire temperatures of 300 °C, 450 °C, and 600 °C. Acoustic emission (AE) signals were recorded during loading, along with force and strain measurements. The recorded AE signals were analyzed using the k-means clustering method. The compilation of the test results made it possible to determine the classes of signals characteristic of different stages of the material failure process and to indicate the differences in the failure mechanisms of specimens stored under ambient conditions and subjected to fire temperatures. Digital image correlation (DIC) measurements were conducted during the strength tests. A numerical model of the material (FEM) was also prepared, and a comparison of the obtained results was carried out.
A biomarker and molecular mechanism investigation for thyroid cancer

Introduction This study aimed to reveal the potential molecular mechanism associated with thyroid cancer (THCA) prognosis, and investigate promising biomarkers for THCA. Material and methods Differentially expressed genes (DEGs) were compared between THCA samples (THCA group) and normal samples (N group). Then, enrichment analysis and protein-protein interaction (PPI) network analysis were performed, followed by prognostic hub gene exploration from the PPI network. Furthermore, the prognostic and mutation analysis was performed on these hub genes. Finally, the associations of the hub gene with immune cells were investigated. Results A total of 802 DEGs were obtained between the THCA group and the N group. These DEGs were mainly enriched in pathways such as lysine degradation. From the PPI network, 20 hub genes, including CD44, CCND1, SNAI1, and KIT, were investigated. The survival analysis showed that the up-regulation of CD44 and down-regulation of SNAI1 contributed to the favorable and unfavorable outcomes of patients with THCA, respectively. Meanwhile, the diagnostic analysis showed that the AUC of KIT in THCA was larger than 0.9. Furthermore, the gene mutation analysis showed that the alternated CCND1 participated in the cell cycle pathway. Finally, the correlation analysis showed that prognostic genes such as CD44 were positively correlated with immune cells such as M1 macrophages. Conclusions A total of 20 hub genes including CCND1, CD44, SNAI1, and KIT were revealed as potential biomarkers for the differential diagnosis, prognosis, and development of drug targets of THCA. The lysine degradation pathway and cell cycle pathway might take part in the progression of THCA.
Power Quality Improvement Using TID based DVR Controller

The effectiveness of power utilized by electronic devices is crucial for various reasons. Firstly, high-quality power results in better efficiency, allowing devices to operate at optimal energy levels. This article aims to clarify the significance of Power Quality by highlighting the benefits of using a Dynamic Voltage Restorer (DVR) to improve power quality for electricity consumers. The proposed method employs a hysteresis voltage control system that operates with variable switching frequency to enhance DVR reliability and ease of operation. Using a Tilt Integral Derivative (TID) controller, a type of fractional order controller similar to the PID controller, voltage compensation under disturbances is achieved with satisfactory results demonstrated via simulation. The primary objective of this project is to mitigate power quality issues such as voltage swell and sag in a distribution power system by enhancing power quality with a TID controller and comparing the results with those obtained from a previously implemented PID controller, using MATLAB software. Keywords: Dynamic Voltage Restorer (DVR), Tilt Integral Derivative controller (TID), Total Harmonic Distortion, MATLAB software.
The profile of students’ problem-solving skills toward environmental pollution topic

Problem-solving is an essential skill that must be possessed by students, especially in learning biology. The purpose of this research is to determine the profile of students’ problem-solving skills in Senior High School 10 Palembang on environmental pollution material. The research method is descriptive with a qualitative approach. Participants were 30 students of 12th grade Science 3 of Senior High School 10 Palembang in 2022/2023, which selected based on purposive sampling. The instrument consisted of five items with the indicators of problem-solving skills, including identifying problems, reviewing problems, planning solutions, implementing plans that have been made, and evaluating. The data collected for the study also included results from the teacher interview as a supporting instrument. Data analysis was carried out by calculating the average achievement score of students' problem-solving skill indicators in the form of percentages. The results showed that the percentage of students' problem-solving skills was 30.67% in the lack category. The percentage of problem-solving skill indicators is identifying problems by 26.7%, collecting data and planning solutions by 40%, implementing plans made by 33.3%, and evaluating by 13.33%. The ability to solve problems can be improved by innovating teachers in choosing learning strategies such as using approaches, methods, models, and media that can improve problem-solving abilities, especially in learning biology.
Cushioning the Impact of COVID-19 on Livelihoods: Africa's Socio-Economic Policies so far

The devastating impacts resulting from the coronavirus pandemic cannot be underestimated. The economies of most countries on almost all continents have been adversely impacted by the coronavirus pandemic (COVID-19). With Africa's existing socio-economic challenges, the emergence of the pandemic has further weakened and worsened economies and livelihoods within the sub-region. Dwelling on secondary data sources, including journal articles, online news items, and reports, this paper examines socio-economic support programmes implemented by African governments to cushion the pandemic's impact on the already-vulnerable livelihoods in Africa. The study establishes that several successful and some ineffective socio-economic interventions have been implemented so far by countries, including but not limited to Ghana, Botswana, Kenya, and Morocco. These interventions include suspending public gatherings, lockdown regimes, strengthening healthcare systems through increased investment, cash transfers to the most vulnerable groups, free food distribution, reduction of different tax forms and distribution of Personal Protective Equipment (P.P.E.) to households. However, implementing these measures has put high economic burdens on governments due to their associated cost. It is therefore projected that, beyond the COVID-19 regime, most African governments will pursue internal economic policies to chart the course towards economic recovery. The paper recommends that case-by-case empirical studies be conducted to gauge the level of impact the identified COVID-19-driven socio-economic policies had on livelihoods within the African context.
Single-Wavelength Focusing Metalens for Multichannel Two-Photon Microscopy

The miniatured two-photon microscope is promising for monitoring brain activities of free-behaving animals or in-situ endoscope diagnosis. Ultrathin and lightweight metalens presents a potential alternative to bulky refractive lenses for a miniaturized optical system. However, designing and fabricating achromatic metalens covering the near-infrared and visible light spectrum range is challenging. This letter proposes a metalens focusing at one wavelength while capable of multichannel microscopy due to the nonlinear properties of two-photon excitation. The metalens was designed solely to focus near-infrared excitation laser (1040 nm) using geometric phase regardless of the chromatic correction for visible emission light. Our method simplifies the design process, reduces manufacturing costs, and increases the focusing efficiency for the excitation light while maintaining a high transmittance for visible light. Using the metalens, two-photon biological imaging with three different labels was experimentally demonstrated with subcellular resolution.
Temperature‐dependent scaling of fitness traits with body size in hydra

Body size strongly depends on developmental temperature. In more than 80% of the ectotherm species investigated, including bacteria, protists, invertebrates and vertebrates, individuals developing at lower temperatures exhibit protracted growth and achieve larger sizes than individuals developing at higher temperatures (referred to as the ‘temperature‐size rule’, TSR). One hypothesis to explain the TSR posits that reproduction and/or survival change more steeply with size in cold environments, resulting in larger optimal body sizes and consequently increased selection for growth. However, clearly ascertaining whether size directly affects fitness traits in a temperature‐dependent way is challenging due to the interdependence of size, reproduction and survival. To address this problem, experimental body size manipulation was performed in two male and two female strains of Hydra oligactis, a cold‐adapted temperate freshwater invertebrate. Experimentally enlarged and reduced individuals were followed at two distinct temperatures (8 and 12°C) in the laboratory to record sexual investment and postreproductive senescence. To gain insight into the underlying physiological processes, phenotypic observations were complemented with a large transcriptomic data set obtained from enlarged and reduced individuals from different temperatures. Within male hydra strains, fecundity increased, while survival decreased more steeply with size in cold, compared with warmer temperature. Females showed similar, though less emphasized, trends. Reduced animals in the cold had slower sexual development and were less able to undergo compensatory growth, suggesting temperature‐dependent constraints on physiological performance. Reduced and enlarged males differed dramatically in the expression of reproductive genes at low, but not at higher temperature, while in females, a complex transcriptomic restructuring was seen. In particular, metabolic genes were strongly affected by size manipulation, suggesting resource acquisition and allocation as a central mechanism driving allometric patterns. These results suggest that being large is more beneficial in cold environments, at least in terms of reproduction, while at higher temperature even small individuals can maintain reproductive output. Lower reproduction, however, can be compensated by improved survival in small individuals facing colder environments. The reproductive advantage of large size can provide selection for increased growth at low temperature, thereby explaining the TSR in hydra. Read the free Plain Language Summary for this article on the Journal blog.