Miracle-dz/UniFAR-FTUs huggingface dataset:
Strength Training Reduces Fat Accumulation and Improves Blood Lipid Profile Even in the Absence of Skeletal Muscle Hypertrophy in High-Fat Diet-Induced Obese Condition

The aim was to investigate the effect of strength training on skeletal muscle morphology and metabolic adaptations in obese rats fed with unsaturated high-fat diet (HFD). The hypothesis was that strength training induces positive metabolic adaptations in obese rats despite impaired muscle hypertrophy. Male Wistar rats (n = 58) were randomized into two groups and fed a standard diet or a high-fat diet (HFD) containing 49.2% of fat. After induction and maintenance to obesity, the rats were divided into four groups: animals distributed in sedentary control (CS), control submitted to strength training protocol (CT), obese sedentary (ObS), and obese submitted to strength training protocol (ObT). The exercise protocol consisted of 10 weeks of training on a vertical ladder (three times a week) with a load attached to the animal’s tail. At the end of 10 weeks, strength training promoted positive changes in the body composition and metabolic parameters in obese animals. Specifically, ObT animals presented a reduction of 22.6% and 14.3% in body fat and adiposity index when compared to ObS, respectively. Furthermore, these rats had lower levels of triglycerides (ObT = 23.1 ± 9.5 vs. ObS = 30.4 ± 6.9 mg/dL) and leptin (ObT = 13.2 ± 7.2 vs. ObS = 20.5 ± 4.3 ng/mL). Training (ObT and CT) induced a greater strength gain when compared with the respective control groups. In addition, the weight of the flexor hallucis longus (FHL) muscle was higher in the ObT group than in the CT group, representing an increase of 26.1%. However, training did not promote hypertrophy as observed by a similar cross-sectional area of the FHL and plantar muscles. Based on these results, high-intensity strength training promoted an improvement of body composition and metabolic profile in obese rats that were fed a high-fat diet without skeletal muscle adaptations, becoming a relevant complementary strategy for the treatment of obesity.
WillItFit: a framework for fitting of constrained models to small-angle scattering data

A software framework for analysis of small-angle scattering data is presented. On the basis of molecular constraints and prior knowledge of the chemical composition of the sample, the software is capable of simultaneously fitting small-angle X-ray and neutron scattering data to analytical or semi-analytical models of biomacromolecules. The software features various fitting routines along with the possibility of incorporating instrumental resolution effects on the fit. Finally, trust region estimation, based on the profile likelihood strategy, is implemented. The algorithms and models are written in C, whereas the user interface is written in Python. Parallelization is implemented using the OpenMP extensions to C. The source code is available for free upon request or via the associated code repository. The software runs on Linux, Windows and OSX and is available as an open-source initiative published under the General Publishing License.
Genetically modified soybean lines exhibit less transcriptomic variation compared to natural varieties

ABSTRACT Genetically modified (GM) soybeans provide a huge amount of food for human consumption and animal feed. However, the possibility of unexpected effects of transgenesis has increased food safety concerns. High-throughput sequencing profiling provides a potential approach to directly evaluate unintended effects caused by foreign genes. In this study, we performed transcriptomic analyses to evaluate differentially expressed genes (DEGs) in individual soybean tissues, including cotyledon (C), germ (G), hypocotyl (H), and radicle (R), instead of using the whole seed, from four GM and three non-GM soybean lines. A total of 3,351 DEGs were identified among the three non-GM soybean lines. When the GM lines were compared with their non-GM parents, 1,836 to 4,551 DEGs were identified. Furthermore, Gene Ontology (GO) analysis of the DEGs showed more abundant categories of GO items (199) among non-GM lines than between GM lines and the non-GM natural varieties (166). Results of Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that most KEGG pathways were the same for the two types of comparisons. The study successfully employed RNA sequencing to assess the differences in gene expression among four tissues of seven soybean varieties, and the results suggest that transgenes do not induce massive transcriptomic alterations in transgenic soybeans compared with those that exist among natural varieties. This work offers empirical evidence to investigate the genomic-level disparities induced by genetic modification in soybeans, specifically focusing on seed tissues.
Longevity risk management through Machine Learning: state of the art

Longevity risk management is an area of the life insurance business where the use of Artificial Intelligence is still underdeveloped. The paper retraces the main results of the recent actuarial literature on the topic to draw attention to the potential of Machine Learning in predicting mortality and consequently improving the longevity risk quantification and management, with practical implication on the pricing of life products with long-term duration and lifelong guaranteed options embedded in pension contracts or health insurance products. The application of AI methodologies to mortality forecasts improves both fitting and forecasting of the models traditionally used. In particular, the paper presents the Classification and the Regression Tree framework and the Neural Network algorithm applied to mortality data. The literature results are discussed, focusing on the forecasting performance of the Machine Learning techniques concerning the classical model. Finally, a reflection on both the great potentials of using Machine Learning in longevity management and its drawbacks is offered.
A Fuzzy Spatial Region Extraction Model for Object's Vague Location Description from Observer Perspective

Descriptions of the spatial locations of disappeared objects are often recorded in eyewitness records, travel notes, and historical documents. However, in geographic information system (GIS), the observer-centered and vague nature of the descriptions causes difficulties in representing the spatial characters of these objects. To address this problem, this paper proposes a Fuzzy Spatial Region Extraction Model for Object’s Vague Location Description from Observer Perspective (FSREM-OP). In this model, the spatial relationship between the observer and the object are represented in spatial knowledge. It is composed of “phrase” and “region”. Based on the spatial knowledge, three components of spatial inference are constructed: Spatial Entities (SEs), Fuzzy Spatial Regions (FSRs), and Spatial Actions (SAs). Through spatial knowledge and the components of FSREM-OP, an object’s location can be inferred from an observer’s describing text, transforming the vagueness and subjectivity of location description into fuzzy spatial regions in the GIS. The FSREM-OP was tested by constructing a group of observers, object position relationships and vague descriptions. The results show that it is capable of extracting the spatial information and presenting location descriptions in the GIS, despite the vagueness and subjective spatial relation expressions in the descriptions.
Porosity-grain growth relationships in the laser beam deep penetration welding of 6061 aluminum alloy

Abstract Porosity is one of the significant defects existing in the weld seam of aluminum alloy by laser. In the current research, the evolution of porosity and grain coupling growth in the weld seam is realized via a Cellular Automaton-Finite Element simulation method. A detailed calculating method of three phases was proposed by taking into account the liquid/solid phase transformation on the nucleation and growth of porosity. The results show that the porosity nuclei with larger size can grow preferentially, while the small porosity nuclei's development is inhibited. Because of the effect of gas/liquid surface tension, porosity increases spherically when it is enveloped by liquid. After touching with grain, the porosity's growth space is restricted by the complex dendrite network, and thus its shape becomes irregular. The coupling of grain and micro-porosities predicted by the simulation method is in good agreement with the results obtained by the experiments.
High-performance Liquid Chromatographic/Electrospray Ionization Mass Spectrometric Screening for Polyphenolic Compounds of Epilobium hirsutum—The Structure of the Unique Ellagitannin Epilobamide-A

A screening method based on high-performance liquid chromatography (HPLC) interfaced to electrospray ionization mass spectrometry (ESI-MS) with detection of negative ions was devised and the conditions for assaying the complex mixture of gallotannins, ellagitannins and flavonoids of aqueous ethanolic Epilobium hirsutum L. whole plant extract were established. Twenty-eight polyphenolic compounds were tentatively identified and one unique ellagitannin with an odd molecular mass was detected in the extract. This compound was taken as the target and isolated by means of consecutive polyamide and Sephadex LH-20 column fractionation; repeatedly, the isolation and purification were monitored by HPLC/ESI-MS. The compound was isolated and subsequently identified as valoneic acid amide bilactone (epilobamide-A). The parent acid, known as valoneic acid bilactone, was also isolated and mass and 1H and 13C NMR spectra were recorded and completely interpreted. Eventually, all relevant structures were elucidated by established methods of structure analysis and confirmed by 1D and 2D NMR spectroscopy. Further, ESI-MS with in-source collision-induced dissociation of the two valoneic acid derivatives and the formation of distonic radical anions is discussed, together with oxidation processes during fragmentation. © 1997 John Wiley & Sons, Ltd.
Metal‐organic framework‐derived carbon‐cobalt oxysulfide nanocage heterostructure electrode for efficient hybrid supercapacitors

Construction of hybrid supercapacitors (HSCs) with defect engineered electrodes derived from single metal‐organic frameworks (zeolitic imidazolate frameworks, ZIF‐67) via control of the thermal influences showed unique structural features and rich electrochemical properties. Designing the three‐dimensional Co oxysulfide nanograins with carbon frame (CoOS‐C)‐based positive electrode surfaces through sulfidation with tunable defect states along with N‐ and S‐doping states improved the electrical energy storage; further, the possibility of having a carbon‐based skeleton surface influenced the effective rate capability during the charge‐discharge process. This unique nanostructural feature with encapsulation of porous N‐ and S‐doped graphitic carbon enabled improved rate performance by enhancing the stability of the electrode material and shortening the ion‐diffusion paths by the synergistic effect. Owing to the tunable defect functionality, the CoOS‐C based electrode exhibited a high storage capacity of 708.8 C g−1 at 1 A g−1 and an excellent rate capability with long‐term cyclic stability, with more than 93% capacity retention after 3000 cycles. Furthermore, the fabricated HSCs operated within a wide potential window of 1 to 1.6 V, which allowed excellent rate capability with a high‐energy density of 31.7 W h kg−1 at a specific power density of 800 W kg−1 with long‐term cyclic stability up to 10 000 cycles.
Structural, electronic and thermoelectric properties of SrTiO3 ceramic doped by lanthanum using first principles

The Sr0.92La0. 08TiO3 model compound was studied by means of the first-principles method grounded on the full-potential linearized augmented plane wave with the local orbital method as implement in WIEN2k. The structures, electronic and thermoelectric properties of the model compound are examined. Geometry optimization of Sr0.92La0. 08TiO3 compound structure reveals the lattice constant of 3.9451 Å, which is the same as un-doped SrTiO3. The direct bandgap of 2.48 eV (Γ-Γ) was measured from computed electronic band structure and its displayed density of states for Sr0.92La0. 08TiO3 sample. Transport properties were calculated using BoltzTraP code as implemented in the WIEN2k code. The results were analyzed as a function of the variable temperatures, the density of state and chemical potential. Temperature and density of state variation with transport properties are in the same trend. Chemical potential proves material as n-type via Seebeck coefficient. The thermoelectric performance ZT of 0.05 was obtained at room temperature, while maximum value of 3.79 was recorded at 1200 K.
On the atomic structures, mobility and interactions of extended defects in GaN: dislocations, tilt and twin boundaries

Results obtained by atomic computer simulation based on an adapted Stillinger–Weber (SW) potential concerning the structure and relative stability of lattice dislocations, tilt and twin boundaries in GaN are discussed. The method used for the search and description of all possible atomic configurations depends on the crystallographic structure; consequently it is of general application and the results are transferable to the wurtzite binary compounds. On the contrary, the relaxed structures and their relative energetic stability are potential dependent. The results presented here correspond to a GaN model described by a pair potential. Whenever it has been possible our results have been compared with experiments or with ab initio calculations. We present the core shape and energy of and crystal dislocations of both edge and screw character; [0001] tilt boundaries of misorientation angles from 9.3° (corresponding to Σ37) to θ = 44.8° (corresponding to Σ43) and ( ) twin boundaries (n = 1, 2, 3) 1, 2, 3, 4. The atomic structures of the tilt boundaries can be described in terms of the three stable structures of the prism -edge dislocation core. The ( ) twin boundary is entirely described by 6-coordinated channels whereas the other twin boundaries present more complex structural units.
Mechanical equipment fault detection applying data mining technology

Mechanical equipment fault detection in manufacturing enterprises has always been an important link in the manufacturing process. Along with the computer technology, artificial intelligence technology and various sensors are widely used in manufacturing industry, The amount of data produced by manufacturing machinery and equipment at all stages of the production process is also increasing rapidly, It is particularly important to analyze the data generated by these devices for fault detection and even prediction, Data mining technology provides advanced analysis methods for this purpose. This paper first introduces the basic concepts of Data Mining, Data Mining process and the key technology of Data Mining, and then focuses on the application of Data Mining in machinery fault detection, finally through the analysis of Data Mining in the field of top class meeting KDD2019, explored the could be applied to machinery fault detection of new technology, forecast the Data Mining technology in the fault detection of possible development trend.
BiNeTClus

We investigate the problem of community detection in bipartite networks that are characterized by the presence of two types of nodes such that connections exist only between nodes of different types. While some approaches have been proposed to identify community structures in bipartite networks, there are a number of problems still to solve. In fact, the majority of the proposed approaches suffer from one or even more of the following limitations: (1) difficulty in detecting communities in the presence of many non-discriminating nodes with atypical connections that hide the community structures, (2) loss of relevant topological information due to the transformation of the bipartite network to standard plain graphs, and (3) manually specifying several input parameters, including the number of communities to be identified. To alleviate these problems, we propose BiNeTClus, a parameter-free community detection algorithm in bipartite networks that operates in two phases. The first phase focuses on identifying an initial grouping of nodes through a transactional data model capable of dealing with the situation that involves networks with many atypical connections, that is, sparsely connected nodes and nodes of one type that massively connect to all other nodes of the second type. The second phase aims to refine the clustering results of the first phase via an optimization strategy of the bipartite modularity to identify the final community structures. Our experiments on both synthetic and real networks illustrate the suitability of the proposed approach.
Are Civilly Detained and Committed Sexually Violent Persons Released After Age 60 Low Risk?

Older age is a well-established protective factor against sexual recidivism. However, research on the effects of aging in individuals considered for civil commitment as sexually violent persons (SVPs) is limited. The current study investigated 53 such individuals released after age 60: 15 were released following dismissal of the civil commitment petition, and 38 were discharged following civil commitment. Recidivism outcomes, including details of the release environment, were examined and the groups were compared on recidivism risk and age-related factors. The sexual recidivism rate across both groups was 7.5% over an average follow-up of about 9 years. The rate of sexually violent offenses was 3.8%. Results suggest that age-related protective effects apply to older SVPs. However, the groups differed in total time institutionalized and release environments. Findings highlight the potential impact of release type and environments on observed recidivism rates. Risk management implications for older individuals released from SVP programs are considered.
Magnetic transition broadening and local lattice distortion in the negative thermal expansion antiperovskite Cu1−xSnxNMn3

The local distortion indicated by the split of the Cu/Sn-Mn bonds for the negative thermal expansion (NTE) materials Cu1−xSnxNMn3 (x = 0.1 and 0.5) was observed using neutron pair distribution function. The distribution of Cu/Sn-Mn bonds upon Sn doping is suggested to be attributable to the fluctuation in the hybridization of Mn d with Sn p orbitals. Accordingly, the antiferromagnetic (AFM) coupling mediated by the p-d hybridization fluctuates in strength. Consequently, the AFM transition closely coupled with the volume change is broadened, leading to the NTE.
Analysis of posture and discomfort feelings of grinders in different foundries in West Bengal

Suitable working environment, appropriate occupational hygiene and proper postural methods of the workers are very much neglected in different foundries in West Bengal. The most essential part of manufacturing the products is grinding. Health and safety of workers are the most important issues in this unit now a days. High productivity as well as maximum turnover is the highest interest of these units. Target oriented work puts some pressure on the workers that also increase their muscular and body stresses. Grinders are very much involved and also do their work in very bad work postures in this unit. The grinding is performed on kneeling posture and the grinder has to sit and perform the operation on a fixed jig and fixture on the ground continuously. Uncomfortable as well as unergonomic work postures create pain in the different joints, ligaments and muscles among grinders. If ABSTRACT
Sport entrepreneurs’ performance in business

ABSTRACT Research question Entrepreneurial orientation (EO) is one of the performance measurements in the research on sport entrepreneurship. Another measure of performance studied is coopetition (simultaneous collaboration and competition). This study tested how EO might affect coopetition. Research methods In total, 106 sport entrepreneurs from the United States participated in a survey. This survey included an experiment measuring participants’ coopetition tendency (the dependent variable) and EO (the independent variable). Results and findings EO affected coopetition. This relationship was negative among sport entrepreneurs who reported training with their potential competitors and positive among sport entrepreneurs who did not report such training. Implications EO-behaviors (developing sport products, services, techniques, equipment, and practices) can encourage sport entrepreneurs towards coopetition. This might especially be the case for sport entrepreneurs who use their skills acquired from sports that they train or trained alone.
Immigration and electricity consumption: The case of Northern Cyprus

ABSTRACT The present article uses the Autoregressive Distributed Lag (ARDL) bounds testing procedure to identify the impact of immigration and economic growth on electricity consumption in the case of North Cyprus using annual data from 1977 to 2007. The results suggest that both economic growth and immigration are in a long-run equilibrium relationship with electricity consumption.
Inequalities in healthcare utilisation: a decomposition analysis based on financial protection against health risks in Senegal

Background: Developing countries are characterised by lack of financial protection against health hazards that can lead to health inequity. Improving horizontal equity in the utilisation of health care requires a better understanding of the factors that influence it. This study used Senegal as a case to examine healthcare utilisation disparities and their determinants. Methods: The study used the most recent Demographic and Health Survey (2017) from Senegal. Frequencies, a logit model and an extension of Blinder-Oaxaca decomposition (proposed by Fairlie) were employed to examine healthcare utilisation gap between covered and uncovered people as well as factors explaining this gap.Results: The results of the logistic regression show that healthcare utilisation increases with quintiles of economic well-being; people covered by an insurance or fee exemption scheme use more health care services than those not covered. Women, urban people, children aged under five years and elderly (60 and +). Results from Blinder-Oaxaca decomposition suggests a difference in healthcare utilisation between covered and uncovered people. 39% of these disparities are explained by the distribution of observed characteristics (age, area of residence, economic well-being, education) while 61% of these disparities are explained by differences in coefficients. This component may be related to discriminatory practices in favour of the persons covered.Conclusion: The results also raise the issue of the fragmentation of coverage schemes that can lead to differences in the care packages offered. Public authorities need to make efforts to reduce social inequalities and have an important stewardship role across all branches of society to ensure that policies and actions in other sectors improve health equity.