Miracle-dz/UniFAR-FTUs huggingface dataset:
Time Course of Performance Indexes, Oxidative Stress, Inflammation, and Muscle Damage Markers after a Female Futsal Match

Background: Our aims were to investigate the time-course effects of a futsal match on performance, oxidative stress, and muscle damage markers, as well as inflammatory and antioxidant responses during a 6-day post-match period. Methods: Thirty-four female high-level futsal players were assessed on several oxidative stress, inflammation, subjective muscle soreness, subjective rate perceived exertion, and performance tests before a futsal match, immediately after, and 24 h to 144 h after. Results: Counter movement jump, 20 m, and 10 m sprints performance significantly decreased immediately after the match (p < 0.05) and returned to baseline 72 h post-match (p > 0.05). Delayed onset muscle soreness peaked 24 h post-match and rate perceived exertion peaked post-match (p < 0.05) and returned to baseline 96 h post-match (p > 0.05). Inflammatory biomarkers peaked at 24 h (p < 0.05) and remained significantly elevated for 72 h after the match (p < 0.05). Muscle damage biomarkers peaked at 24 h (p < 0.05) and remained significantly (p < 0.05) elevated for at least 72 h after the match. Oxidative stress markers peaked at 24 h–48 h (p < 0.05) and returned to baseline 120 h post-match (p > 0.05). In respect to antioxidant responses, these peaked at 24 h–48 h post-match (p < 0.05) and returned to baseline 120 h after the match (p > 0.05). Conclusions: A single futsal match induces short/mid-term changes in performance, inflammation, oxidative stress, and muscle damage markers for about 72 h–96 h post-match.
A study on effectiveness of yoga on sympathetic nervous system of the body

Introduction: Yoga engages the student in the healing process; by playing an active role in their journey toward health, the healing comes from within, instead of from an outside source and a greater sense of autonomy is achieved. Materials and Methods: This search was conducted to obtain general information regarding yoga's therapeutic effects in the existing literature. Subsequently, a second search was conducted using the following key words or exact phrases, “hatha yoga,” “therapeutic effects of yoga,” “stress,” “anxiety, “depression,” “pain,” and “chronic disease. Results: Age (Years) of control and study Group: Mean Age + SD of control Group-42.36 ± 5.209 Mean Ag SD of study Group - 42.22±5.168 There is no significant variation in age of both Groups. Conclusion: This scientific study suggest that the practicing of yoga bring about a number of physiological and Biochemical changes in the body and rehabilitates various vital organs and make them functionally more competent to resist the stresses.
BEAM SIMULATIONS IN COMPUTER-MODELLED 3D FIELDS FOR RIKEN AVF CYCLOTRON UPGRADE

A highly advanced upgrade plan of the RIKEN AVF cyclotron is underway. The present study is to expand the region of its available acceleration energies as well as to increase the beam intensity with the help of detailed orbit simulations. The computer model of the AVF 3D electromagnetic fields was prepared and successfully checked against the measurements. Electric and magnetic field distributions and mechanical structures were transmitted to the beam dynamics code for simulations, and particle losses during the injection, acceleration and extraction were estimated. Some experiments already conducted with the beams confirmed the selection of the machine parameters based on the beam dynamics simulations. The new inflector geometry and the optimized central electrode structure have been formulated for the upgrade.
Influence of physical and radiobiological models on evaluation of radiotherapy treatment fractionation schedules for GBM brain tumours

This study aims to evaluate the radiotherapy planning performance considering the clinical results of glioblastoma multiforme (GBM)-treated patients from both physical and radiobiological perspectives. Radiotherapy plans are done for 20 patients with GBM tumors who have received radical VMAT treatment on Eclipse-13.5. Dosimetric and radiobiological evaluation metrics are estimated to compare the two plans in terms of TCP, NTCP, and P+ in the context of the evaluated physical metrics. Both conventional and hypofractionation give better dose homogeneity and conformity to the tumour. In addition, hypofractionation schedule coverage targets cells with radiation doses higher than conventional schemes. However, both schedules are at acceptable and safe levels. Statistically, the calculated metrics showed good significance between conventional and hypofractionated radiotherapy schedules. The results have led to the safe use of hypofractionated radiotherapy that can be extended for different tumours, which helps in breaking down the waiting list of patients in many hospitals, especially in cases of pandemics such as COVID-19.
AFNet Algorithm for Automatic Amniotic Fluid Segmentation from Fetal MRI

Amniotic Fluid Volume (AFV) is a crucial fetal biomarker when diagnosing specific fetal abnormalities. This study proposes a novel Convolutional Neural Network (CNN) model, AFNet, for segmenting amniotic fluid (AF) to facilitate clinical AFV evaluation. AFNet was trained and tested on a manually segmented and radiologist-validated AF dataset. AFNet outperforms ResUNet++ by using efficient feature mapping in the attention block and transposing convolutions in the decoder. Our experimental results show that AFNet achieved a mean Intersection over Union (mIoU) of 93.38% on our dataset, thereby outperforming other state-of-the-art models. While AFNet achieves performance scores similar to those of the UNet++ model, it does so while utilizing merely less than half the number of parameters. By creating a detailed AF dataset with an improved CNN architecture, we enable the quantification of AFV in clinical practice, which can aid in diagnosing AF disorders during gestation.
Uncertainty quantification for spatio-temporal computer models with calibration-optimal bases

The calibration of complex computer codes using uncertainty quantification (UQ) methods is a rich area of statistical methodological development. When applying these techniques to simulators with spatio-temporal output, it is now standard to use principal component decomposition to reduce the dimensions of the outputs in order to allow Gaussian process emulators to predict the output for calibration. We outline the `terminal case', in which the model cannot reproduce observations to within model discrepancy, and for which standard calibration methods in UQ fail to give sensible results. We show that even when there is no such issue with the model, the standard decomposition on the outputs can and usually does lead to a terminal case analysis. We present a simple test to allow a practitioner to establish whether their experiment will result in a terminal case analysis and a methodology for defining calibration-optimal bases that avoid this whenever it is not inevitable. We apply these ideas to the CanAM4 model to demonstrate the terminal case issue arising for climate models. We discuss climate model tuning and the estimation of model discrepancy within this context, and show how the optimal rotation algorithm can be used in developing practical climate model tuning tools.
Investigating energetic electron precipitation through combining ground‐based and balloon observations

A detailed comparison is undertaken of the energetic electron spectra and fluxes of two precipitation events that were observed in 18/19 January 2013. A novel but powerful technique of combining simultaneous ground‐based subionospheric radio wave data and riometer absorption measurements with X‐ray fluxes from a Balloon Array for Relativistic Radiation‐belt Electron Losses (BARREL) balloon is used for the first time as an example of the analysis procedure. The two precipitation events are observed by all three instruments, and the relative timing is used to provide information/insight into the spatial extent and evolution of the precipitation regions. The two regions were found to be moving westward with drift periods of 5–11 h and with longitudinal dimensions of ~20° and ~70° (1.5–3.5 h of magnetic local time). The electron precipitation spectra during the events can be best represented by a peaked energy spectrum, with the peak in flux occurring at ~1–1.2 MeV. This suggests that the radiation belt loss mechanism occurring is an energy‐selective process, rather than one that precipitates the ambient trapped population. The motion, size, and energy spectra of the patches are consistent with electromagnetic ion cyclotron‐induced electron precipitation driven by injected 10–100 keV protons. Radio wave modeling calculations applying the balloon‐based fluxes were used for the first time and successfully reproduced the ground‐based subionospheric radio wave and riometer observations, thus finding strong agreement between the observations and the BARREL measurements.
Computation of an efficient and robust estimator in a semiparametric mixture model

ABSTRACT In this article, we propose an efficient and robust estimation for the semiparametric mixture model that is a mixture of unknown location-shifted symmetric distributions. Our estimation is derived by minimizing the profile Hellinger distance (MPHD) between the model and a nonparametric density estimate. We propose a simple and efficient algorithm to find the proposed MPHD estimation. Monte Carlo simulation study is conducted to examine the finite sample performance of the proposed procedure and to compare it with other existing methods. Based on our empirical studies, the newly proposed procedure works very competitively compared to the existing methods for normal component cases and much better for non-normal component cases. More importantly, the proposed procedure is robust when the data are contaminated with outlying observations. A real data application is also provided to illustrate the proposed estimation procedure.
Cheminformatics identification of phenolics as modulators of key penicillin−binding proteins of Escherichia coli towards interventive antibacterial therapy

ABSTRACT Data implicating the mutation in penicillin-binding protein (PBP) 3 and occasionally PBP5 in the resistance of Escherichia coli to beta−lactams is intriguing. Thus, the identification of an improved class of inhibitors of PBP3 and PBP5 is imperative, and in this study, phenolics due to their promising antibacterial activities were screened using structure−based pharmacophore and molecular docking approaches against PBP3, and the ability of the lead phenolics to modulate PBP3 and PBP5 was studied using molecular dynamics simulation. The results demonstrated various inhibitory capacities of the lead phenolics, with lysidicichin (−41.66 kcal/mol) and silicristin (−31.11 kcal/mol) being the most potent against PBP3, while epicatechin 3-O-(3-O-methylgallate) (−38.97 kcal/mol) and epigallocatechin-4-benzyl thioether (−37.01 kcal/mol) had higher affinities towards PBP5. Overall, epicatechin gallate had the best broad-spectrum of activity, as the compound was able to bind favourably to both targets. Additionally, the thermodynamic information confirmed the stability of the lead phenolics with both targets. Conclusively, while these observations are suggestive of the modulatory role of the lead phenolics on the growth of E. coli, further in vitro and in vivo validation of the activity elicited by the phenolics in this study is imperative, and efforts are underway in this direction.
Serologic studies of bacterial zoonoses in free-living sea lion pups Zalophus californianus, in the Gulf of California, Mexico

This study aimed to investigate the prevalence rate of brucellosis, leptospirosis, and chlamydiosis in the offspring of free-living sea lions ( Zalophus californianus ) in the Mexican Gulf of California. The work was carried out across six islands where reproduction takes place. Sixty-one blood samples were collected from seemingly healthy sea lions from six to eight weeks old. For diagnosis, serum was obtained by venae cavae puncture. In the search for smooth Brucella spp. , based on phenotypic characterization, antigens were detected employing an antigen test for Brucella abortus , strain 1119-3. In the case of leptospirosis, the serological diagnosis was carried out by microscopic agglutination to identify 12 Leptospira interrogans serotypes. Lastly, Chlamydia abortus was identified using commercial ELISA (ID Screen ® ). All 61 serum samples presented negative results for the B. abortus antigen and the C. abortus ELISA . The serological diagnosis for leptospirosis showed that 29 out of 61 sera were negative (47.5%) for all serotypes, and 32 out of 61 were positive (52.5%) for at least one serotype. After studying the three diseases, results suggest that the presence of antigens against Leptospira is a potential threat to the protected sea lions from the Gulf of California.
Internal technology barriers, learning approaches, and technology adoption

Abstract This study uses structural regression analysis to test an integrated model that reveals the relationship between internal technology barriers, learning approaches, and technology adoption in educational contexts. The findings show that the direct effect of internal technology barriers on acceptance is significant. In addition to this, deep and surface learning approaches influence perceived internal technology barriers and acceptance, while learning approaches and internal technology barriers have a considerably large effect on acceptance. Based on the findings, both deep and surface learning approaches, together with the technology internal barriers, have a direct and significant effect on acceptance, suggesting that compared to surface learners, deep learners have more influential internal technology barriers in terms of technology acceptance.
Effects of Caffeine Supplementation on Short-term Heart Rate Variability

Caffeine is present in many commonly consumed beverages, and the effect of caffeine on one’s autonomous nervous system is of considerable interest. The time taken for caffeine to act on the body varies from person to person. This study is aimed to see the short-term effects of caffeine supplements (200 mg/capsule) on Heart Rate Variability (HRV) considering this individualised response to caffeine. Thirty healthy subjects participated in the study (Female:10, Male:20, Age:24.60 ± 3.02). The ECG data of the subjects were collected using the platform ‘Repose’ by Netrin Sports Technologies, India. The duration after the caffeine intake of two hours was divided into smaller time windows (30mins) to closely observe how HRV changed. The study used Kubios Standard software (version 3.5.0) to analyse time-domain HRV parameters, frequency-domain HRV parameters and autonomic nerve indexes before and after the intervention. Questionnaires were used to understand the subjects’ caffeine tolerance and habits and to understand the subjects’ psychological state during the study. It was found that the subjects’ parasympathetic activity improved after caffeine intake, resulting in better HRV parameters and autonomic nerve indexes. The HRV was found to peak after a particular time post the intake, and this time varied from person to person. Statistically significant changes were observed in RMSSD, pNN50, HR, LF/HF, SI and PNS after caffeine intake (p<0.05). No significant changes were found in SDNN.
A REFORMIST CONFIGURATION FOR IDENTIFYING REPLICAS IN ENORMOUS DATA COLLECTIONS

In manners of pair selection of duplicate recognition procedure, there presents a trade-off among time period necessary to run duplicate recognition formula additionally to totality of results. Novel, duplicate recognition techniques that enhance efficiency to locate duplicates when the execution time is bound were introduced which make the most of gain of overall procedure within time accessible by means of verifying most results much before than traditional techniques. Progressive sorted neighbourhood method additionally to progressive obstructing computations enhance effectiveness of duplicate recognition for situations with restricted execution time they energetically modify ranking of comparison candidates on first step toward intermediate results. Our approaches setup on generally used techniques, sorting additionally to obstructing, and so make similar presumptions: duplicates might be sorted close towards one another otherwise arranged within same containers.
The Effect of Emotional Intelligence and Organizational Commitment on Service Quality Mediated by Organizational Citizenship Behaviour

The number of JKN participants continues to increase because of the presidential Instruction No. 1/2022 so BPJS Kesehatan as an agency engaged in services must be able to provide the best service to those who need these services. This study aims to determine the effect of emotional intelligence and organizational commitment on service quality with organizational citizenship behavior as a mediation variable. This study is located on BPJS Kesehatan KC Pekalongan, with a total population amounted 75 employees, and the sample is about 40 employees. The sampling technique in this study uses judgment sampling. The analysis technique used path analysis with SPSS 25 as a hypothesis testing tool. The study found that emotional intelligence significantly affects organizational citizenship behavior. However, organizational commitment hasn’t a significant effect on organizational citizenship behavior because employees who have a high level of organizational commitment do not always mean that these employees also exhibit OCB behavior.
An order-theoretic perspective on categorial closure operators

Abstract This paper deals with an order-theoretic analysis of certain structures studied in category theory. A categorical closure operator (cco in short) is a structure on a category, which mimics the structure on the category of topological spaces formed by closing subspaces of topological spaces. Such structures play a significant role not only in categorical topology, but also in topos theory and categorical algebra. In the case when the category is a poset, as a particular instance of the notion of a cco, one obtains what we call in this paper a binary closure operator (bco in short). We show in this paper that bco’s allow one to see more easily the connections between standard conditions on general cco’s, and furthermore, we show that these connections for cco’s can be even deduced from the corresponding ones for bco’s, when considering cco’s relative to a well-behaved class of monorphisms as in the literature. The main advantage of the approach to such cco’s via bco’s is that the notion of a bco is self-dual (relative to the usual posetal duality), and by applying this duality to cco’s, independent results on cco’s are brought together. In particular, we can unify basic facts about hereditary closure operators with similar facts about minimal closure operators. Bco’s also reveal some new links between categorical closure operators, the usual unary closure and interior operators, modularity law in order and lattice theory, the theory of factorization systems and torsion theory.
Direct Effects of Toxic Divalent Cations on Contractile Proteins with Implications for the Heart: Unraveling Mechanisms of Dysfunction

The binding of calcium and magnesium ions to proteins is crucial for regulating heart contraction. However, other divalent cations, including xenobiotics, can accumulate in the myocardium and enter cardiomyocytes, where they can bind to proteins. In this article, we summarized the impact of these cations on myosin ATPase activity and EF-hand proteins, with special attention given to toxic cations. Optimal binding to EF-hand proteins occurs at an ionic radius close to that of Mg2+ and Ca2+. In skeletal Troponin C, Cd2+, Sr2+, Pb2+, Mn2+, Co2+, Ni2+, Ba2+, Mg2+, Zn2+, and trivalent lanthanides can substitute for Ca2+. As myosin ATPase is not a specific MgATPase, Ca2+, Fe2+, Mn2+, Ni2+, and Sr2+ could support myosin ATPase activity. On the other hand, Zn2+ and Cu2 significantly inhibit ATPase activity. The affinity to various divalent cations depends on certain proteins or their isoforms and can alter with amino acid substitution and post-translational modification. Cardiac EF-hand proteins and the myosin ATP-binding pocket are potential molecular targets for toxic cations, which could significantly alter the mechanical characteristics of the heart muscle at the molecular level.
Using MaxCompiler for the high level synthesis of trigger algorithms

Firmware for FPGA trigger applications at the CMS experiment is conventionally written using hardware description languages such as Verilog and VHDL. MaxCompiler is an alternative, Java based, tool for developing FPGA applications which uses a higher level of abstraction from the hardware than a hardware description language. An implementation of the jet and energy sum algorithms for the CMS Level-1 calorimeter trigger has been written using MaxCompiler to benchmark against the VHDL implementation in terms of accuracy, latency, resource usage, and code size. A Kalman Filter track fitting algorithm has been developed using MaxCompiler for a proposed CMS Level-1 track trigger for the High-Luminosity LHC upgrade. The design achieves a low resource usage, and has a latency of 187.5 ns per iteration.
Antiangiogenic, Anti-Inflammatory and Antioxidant Properties of Bidens tripartite Herb, Galium verum Herb and Rumex hydrolapathum Root

Plants are commonly used in folk medicine. Research indicates that the mechanisms of biological activity of plant extracts may be essential in the treatment of various diseases. In this respect, we decided to test the ethanolic extracts of Bidens tripartita herb (BTH), Galium verum herb (GVH), and Rumicis hydrolapathum root (RHR) on angiogenic, anti-inflammatory, and antioxidant properties and their total polyphenols content. In vitro studies using endothelial cells were used to see tested extracts’ angiogenic/angiostatic and anti-inflammatory properties. The DPPH assay and FRAP analysis were used to detect antioxidant properties of extracts. The Folin-Ciocalteu analysis was used to determine the content of total polyphenols. The results of gas chromatography–mass spectrometry analysis was also presented. In vitro study demonstrated that BTH, GVH, and RHR ethanolic extracts significantly increased cell invasiveness, compared with the control group. Increased endothelial proangiogenic invasiveness was accompanied by reduced metalloproteinase inhibitor 1 (TIMP-1) and raised in metalloproteinase 9 (MMP-9). Only BTH and GVH significantly reduced cell proliferation, while BTH and RHR facilitated migration. Additionally, tested extracts reduced the production of proangiogenic platelet-derived growth factor (PDGF) and hepatocyte growth factor (HGF). The most potent anti-inflammatory capacity showed BTH and GVH, reducing proinflammatory interleukin 8 (CXCL8) and interleukin 6 (Il-6), compared to RHR extract that has slightly less inhibited CXCL8 production without affecting IL-6 production. Moreover, we confirmed the antioxidant properties of all examined extracts. The highest activity was characterized by RHR, which has been correlated with the high content of polyphenols. In conclusion, the modifying influence of examined extracts can be promising in disorders with pathogenesis related to angiogenesis, inflammation and free radicals formation. BTH is the best choice among the three tested extracts with its antiangiogenic and anti-inflammatory properties.