bluuebunny/crossref_metadata_2025_split huggingface dataset:
High-intensity circuit training change serum Myostatin but not Myogenin in adolescents’ soccer players: a quasi-experimental study
Authors: Ziyaiyan Amirhosein , Kordi Mohammad Reza , Hofmeister Martin , Chamari Prof. Karim , Moalla Wassim , Gaeini Abbas Ali 
Published: June 2022

Abstract
Background: Skeletal muscle contractions due to exercise lead to the secretion of many proteins and proteoglycan peptides called myokines. Myostatin (MSTN) and MyoGenin (MyoG) are two of the most important skeletal muscle growth regulatory factors related to myoblast differentiation and muscle hypertrophy. The present study aims at investigating the effects over eight weeks of high-intensity circuit training (HICT) on serum MyoG and MSTN in male soccer players. Method: The present study is a quasi-experimental study on 21 male soccer players (Experimental group: n=11, Control group: n=10) (ages 15.0±3.4 years, body mass 55.7 ±7.8 kg, height 173.3 ±8.0 cm, Body mass index 18.4 ±1.9 kg.m-2, maximum oxygen uptake 61.89±3.01 ml.kg-1 and the peak height velocity 14.5 ± 0.3 years). Participants were randomly divided into two groups of training group (TG) and a control group (CG). The first resting blood samples were obtained in the morning-fasting state, and the second blood samples were obtained after the maximum aerobic test at pre- and post-HICT. Results: There were non-significant differences in resting serum values of MyoG (p=0.309, p>0.05) but significant differences in resting serum values of MSTN between the training and control groups after eight weeks of HICT (p=0.003, p<0.05). No significant differences were observed between groups in the acute response of serum values of MyoG (p=0.413, p<0.05) and MSTN (p=0.465, p<0.05) to the maximum aerobic test after eight weeks HICT. Conclusion: These results suggest, eight weeks of HICT can decrease the resting serum values of MSTN but not change the resting serum values of MyoG in male adolescent soccer players. Also, eight weeks of HICT does not affect the acute response of MSTN and MyoG after a maximum aerobic test.
Effect of oxide layers formed by thermal oxidation on mechanical properties and NaCl-induced hot corrosion behavior of TC21 Ti-alloy
Authors: Ahmed Fathy S. , El-Zomor Mohamed A. , Ghazala Magdy S. Abo , Elshaer Ramadan N. 
Published: June 2022

Abstract
In the current study on TC21 Ti-alloy (6.5Al-3Mo-1.9Nb-2.2Sn-2.2Zr-1.5Cr), the thermal oxidation formed oxide layers that considerably influenced mechanical properties (hardness and wear). The corrosion of raw and oxidized specimen by NaCl-induced hot salt was also examined. TC21 alloy specimens were oxidized at 600, 700, 800, and 900°C for 5, 20, and 50 h. Salt spray test was utilized on raw and oxidized (600°C /50 h & 800°C/50 h) specimens of salt corrosion evaluated at 600°C for cycling 5, 10, 20, 30, 40, and 50 h. Average thickness of the layer grew with increasing oxidation time and temperature. Thin oxide layer (average 0.16 µm) was generated by oxidation temperature at 600°C duration 5 h. at 800°C oxide layer thickness was 10.8 µm large layer. Most significant surface hardness was 1108 HV0.5 which is produced for an oxidized layer at 900°C. However, lowest hardness of 360 HV0.5 was recorded for raw materials. The best wear resistance had at 800°C specimens, while raw ones had the lowest. During NaCl hot corrosion test, weight loss of the raw specimen was 6.4 mg/cm2 because the corrosion product was flaking off. However, for oxidized at 600°C for 50 h, weight loss after corrosion testing was 0.54 mg/cm2, which was less than that of specimen before corrosion. Oxidized specimens at 800 exhibited the best mechanical characteristics and corrosion resistance.
Effectiveness and Safety of Intravenous Golimumab With and Without Concomitant Methotrexate in Patients With Rheumatoid Arthritis in the Prospective, Noninterventional AWARE Study
Authors: Broadwell Aaron , Schechtman Joy , Conaway Douglas , Kivitz Alan , Shiff Natalie J. , Black Shawn , Xu Stephen , Langholff Wayne , Schwartzman Sergio , Curtis Jeffrey R. 
Published: June 2022

Abstract
Background: Biologic therapies are often prescribed for patients with rheumatoid arthritis (RA) who have an inadequate response to or are intolerant to methotrexate (MTX) and patients with poor prognostic indicators. This post hoc analysis evaluated the effectiveness and safety of intravenous golimumab+MTX vs golimumab monotherapy in RA patients. Methods: AWARE, a real-world, prospective and pragmatic, Phase 4 study, compared the effectiveness and safety of golimumab and infliximab in biologic-naïve and biologic-experienced patients. All treatment decisions were at the discretion of the treating rheumatologist. Effectiveness was evaluated by mean change in CDAI scores at Months 6 and 12; last observation carried forward was utilized for missing data. Safety was monitored through approximately 1 year.Results: Among 685 golimumab-treated patients, 420 (61%) received concomitant MTX during the study and 265 (39%) did not receive MTX after enrollment; 63% and 72%, respectively, discontinued the study. Relative to golimumab monotherapy, golimumab+MTX patients had shorter mean disease duration (8.7 vs 10.0 years) and a lower proportion received prior biologics (60% vs 72%); mean±standard deviation (SD) baseline CDAI scores were similar (30.8±15.1 and 32.6±15.4). Mean±SD changes from baseline in CDAI scores at Months 6 and 12, respectively, were similar with golimumab+MTX (-10.2±14.2 and -10.8±13.8) and golimumab monotherapy (-9.6±12.9 and -9.9±13.1). The incidence of adverse events/100 patient-years(PY) (95% confidence interval [CI]) was 155.6 (145.6, 166.1) for golimumab+MTX and 191.2 (176.2, 207.1) golimumab monotherapy; infections were the most common type. The incidence of infusion reactions/100PY (95% CI) was 2.1 (1.1, 3.6) with golimumab+MTX vs 5.1 (2.9, 8.3) with golimumab monotherapy; none were considered serious. For golimumab+MTX vs golimumab monotherapy, rates/100PY (95% CI) of serious infections, opportunistic infections, and malignancies were 2.6 (1.5, 4.3) vs 7.0 (4.4, 10.6), 0.9 (0.28, 2.03) vs 2.6 (1.1, 5.0), and 3.0 (1.7, 4.7) vs 1.0 (0.20, 2.79), respectively. Conclusions: Changes in CDAI score with golimumab monotherapy was generally similar to that of golimumab+MTX through 1 year, regardless of prior biologic therapy. Adverse events were consistent with the known IV golimumab safety profile. These results provide real world evidential data that may assist healthcare providers and patients with RA in making informed treatment decisions.Trial registration: clinicaltrials.gov NCT02728934 05/04/2016
Congregation Leaving the Reformed Church in Nuenen by Vincent van Gogh: a combined multi-instrumental approach to analyse the painting materials and support varnish removal
Authors: Iwanicka Magdalena , Moretti Patrizia , Pilz Kathrin , Doherty Brenda , Cartechini Laura , Geldof Muriel , Groot Suzan , Miliani Costanza , Targowski Piotr 
Published: June 2022

Abstract
Vincent van Gogh’s painting Congregation Leaving the Reformed Church in Nuenen from the collection of the Van Gogh Museum in Amsterdam was executed in 1884 and partially repainted by the artist in 1885. The painting was restored in 1961, however the details of this treatment were not documented. After being stolen from the museum in 2002 and finally recovered in 2016, the Church was subjected to an extensive examination campaign which started in 2017 aiming at the characterisation of the painting materials used by Van Gogh, including the stratigraphy of both initial and later paint layers, as well as the assessment of the state of preservation, and the feasibility of the desired restoration treatment. A single paint sample was collected and embedded in resin for analysis by means of Optical Microscopy, Scanning Electron Microscopy with Energy Dispersive X-ray spectrometry (SEM-EDS) and Fourier Transform Infrared spectrometry (FTIR-ATR), which identified constituent materials and evidenced the painting’s complex stratigraphy. Portable X-ray fluorescence spectrometry (XRF) was employed to non-invasively identify elements composing pigments in the paint layers. Additional non-invasive measurements were performed in a MOLAB campaign in 2018 by two complementary and portable analytical techniques: Optical Coherence Tomography (OCT) and reflection FTIR spectroscopy were used to gain further insight into the painting’s stratigraphy and identification of the surface layers, respectively across various regions of the entire painting. The existence of an original varnish lying under the paint from 1885 (and therefore identified as applied by Van Gogh himself) was revealed by OCT. It was characterised as being protein based (probably egg white) by FTIR-ATR and reflection FTIR spectroscopy, whereas the upper varnish layer was identified as an alkyd resin applied during the aforementioned 1961 treatment. The combined use of FTIR and OCT enabled non-invasive in situ assessment of solvent cleaning procedures aimed at the selective removal of the 1961 restoration varnish with the preservation of Van Gogh’s original varnish. Specifically, OCT and FTIR analyses were carried out before, during and after each cleaning test to carefully assess the condition of the painted surface and that of the original varnish. The results of the cleaning tests aided in fine-tuning the procedure of varnish removal during the restoration process.
A conceptual model to manage multiple chronic conditions based on PDSA theory
Authors: Zhou Xuan , Zhang Dan 
Published: June 2022

Abstract
Background: The increasing prevalence of comorbidities poses a significant challenge to population health management. The World Health Organization (WHO) suggests that an integrated care model relieves the pressure of healthcare management on people with multimorbidity. Objective: We constructed a conceptual model to manage multiple chronic conditions based on PDSA theory, consisting of four key elements: management team, proceedings, tools, and performance. Result: The model merges patient-centered care, multidisciplinary team, self-management, and other intervention methods mentioned in previous research. Meanwhile, we rely on big data to set up a decision support platform to realize the whole life cycle health management of comorbid patients.
Silibinin affects transcription factors of cell cycle, apoptosis, angiogenesis and metastasis in breast cancer mice model: Targeting the hallmarks of cancer
Authors: Golambahri Hamid Zarei , Motamed Nasrin , Davoody Mohammed 
Published: June 2022

Abstract
Silibinin is a phyto-flavonoid compound and has been reported to exert anticancer effects on several tumors, including breast cancer. The present study exploited Flow cytometry, H&E staining, immunofluorescence (IF), and RT-PCR to extensively observe the effect of silibinin on the expression of cell-cycle and apoptosis-related transcription factors and genes in mice breast cancer cells 4T1. culture of 4T1 cell, MTT, flow cytometry, hematoxylin and eosin stains, immunofluorescent and Real Time PCR experiments were performed. silibinin caused a significant cytotoxicity, induction of apoptosis and cell cycle arrest in 4T1 cells, in vitro and in vivo. CD31 and HmgB1 expression showed a considerable decline. Evaluation of gene expression showed a marked decrease in Bcl-2, FoxC2, HoxB9, and FoxM1 genes, while a significant increase in TP53, P21, Bax, FoxF1, and HmgB1. Silibinin indicates the impact on inducing apoptosis by lower expression of Bcl-2, higher expression of Bax and TP53. While increased expression of P21 is thought to cause cell cycle arrest. In the meanwhile, under-expression of HoxB9, FoxC2, and FoxM1 and over-expression of FoxF1 caused restricted EMT, metastasis, angiogenesis and invasion in cancer.
Simulation of climate change effects on streamflow based on a deep learning network (case study: a semi-arid region in central Iran)
Authors: Zareian Mohammad Javad , Salem Fatemeh 
Published: June 2022

Abstract
This study was conducted to investigate the effects of climate change on streamflow in the Eskandari basin in central Iran. A deep learning model named convolutional neural network (CNN) was used to simulate the monthly streamflow in this region. 7 structures were defined for the model (M1 to M7) which included a combination of different components (minimum air temperature, maximum air temperature, precipitation, relative humidity, sunshine and streamflow). Observed data from 1981 to 2015 were used to calibrate and test the CNN network. The output of 7 General Circulation Models (GCMs) related to the sixth IPCC assessment report (CMIP6), were used to investigate the effects of climate change in the region in the future (2023 to 2038). These outputs were investigated under 3 emission scenarios: SSP126, SSP245 and SSP585. Then the streamflow of the region in the next period was simulated using a calibrated CNN network. The results showed that the M4 structure is the most efficient in simulating the streamflow in the study area (R2 = 0.82, MAE = 2.63, RMSE = 5.19). Evaluation of the GCM output also showed that the temperature of the region will increase between 0.5 to 1°C in different emission scenarios and the precipitation of the region will decrease between 1.6 to 21.4%. These conditions will reduce the streamflow in the future between 2.1 to 21.1%. Overall, the results show that the region's water resources will be subject to significant stress due to climate change in the future.
The Birth of a Relativistic Jet Following the Disruption of a Star by a Cosmological Black Hole
Authors: Pasham Dheeraj , Lucchini Matteo , Laskar Tanmoy , Gompertz Benjamin , Srivas Shubham , Nicholl Matt , Smartt Stephen , Miller-Jones James , Alexander Kate , Fender Rob , Smith Graham , Fulton Michael , Dewangan Gulab , Gendreau Keith , Rhodes Lauren , Horesh Assaf , Velzen Sjoert van , Sfaradi Itai , Guolo Muryel , Segura N. Castro , Aamer Aysha , Anderson Joseph , Arcavi Iair , Brennan Seán , Chambers Kenneth , Charalampopoulos Panos , Chen Ting-Wan , Clocchiatti Alejandro , de Boer Thomas , Dennefeld Michel , Ferrara Elizabeth , Galbany Lluís , Gao Hua , Gillanders James , Goodwin Adelle , Gromadzki Mariusz , Huber M , Jonker Peter , Joshi Manasvita , Kara Erin , Killestein Thomas , Kosec Peter , Kocevski Daniel , Leloudas Giorgos , Lin Chien-Cheng , Margutti Raffaella , Mattila Seppo , Moore Thomas , M\”uller-Bravo Tom\’as , Ngeow Chow-Choong , Oates Samantha , Onori Francesca , Pan Yen-Chen , Torres Miguel Perez , Rani Priyanka , Remillard Ronald , Ridley E , Schulze Steve , Sheng Xinyue , Shingles Luke , Smith Ken , Steiner James , Wainscoat Richard , Wevers Thomas , Yang Sheng 
Published: June 2022

Abstract
The tidal forces of a black hole can rip apart a star that passes too close to it, resulting in a stellar Tidal Disruption Event (TDE, (1)). In some such encounters, the black hole can launch a powerful relativistic jet (2-6). If this jet fortuitously aligns with our line of sight, the overall brightness is Doppler boosted by several orders of magnitude. Consequently, such on-axis relativistic TDEs have the potential to unveil cosmological (redshift z>1) quiescent black holes and are ideal test beds to understand the radiative mechanisms operating in super-Eddington jets. Here, we present multi-wavelength (X-ray, UV, optical, and radio) observations of the optically discovered transient AT 2022cmc at z=1.193 (7). Its unusual X-ray properties, including a peak observed luminosity of >1048 erg s-1, systematic variability on timescales as short as 1000 seconds, and overall duration lasting more than 30 days in the rest-frame are traits associated with relativistic TDEs. This makes AT 2022cmc only the fourth member of this rare class and the first one identified in the optical and with well-sampled optical data. The X-ray to radio spectral energy distributions spanning 5-50 days after discovery can be explained as synchrotron emission from a relativistic jet (radio), synchrotron self-Compton (X-rays), and thermal emission similar to that seen in low-redshift TDEs (UV/optical). Our modeling implies a beamed, highly relativistic jet akin to blazars (e.g., (8,9)) but requires extreme matter-domination, i.e, high ratio of electron-to-magnetic field energy densities in the jet, and challenges our theoretical understanding of jets. This work provides one of the best multi-wavelength datasets of a newborn relativistic jet to date and will be invaluable for testing more sophisticated jet models, and for identifying more such events in transient surveys.
The phylogeny of host choice in a global agricultural pest undergoing sympatric speciation.
Authors: Nagoshi Rodney 
Published: June 2022

Abstract
The threat of invasive species is increasing with the expansion of global trade and habitat disruption. A recent example is the spread of fall armyworm (FAW), a noctuid moth native to the Americas, into most of the Eastern Hemisphere with projections of significant economic losses. The species is subdivided into two populations that differ in their plant host specificity. However, inconsistencies in the genetic and phenotypic definitions of these “host strains” has led to controversy about their existence, which could significantly impact current monitoring and mitigation protocols. Here is described a phylogenetic definition of the host strains that confirm their relevance and provide improved quantification of their genetic differentiation and selection pressures. The results support the traditional view of these populations being at an intermediate stage of sympatric speciation driven by differential host use while also describing a new approach to investigate the evolution of this important global pest.
A Multi-Scale Cross Attention Network to fuse multi-features for smoke detection
Authors: Ye Mengqi , Luo Yanmin 
Published: June 2022

Abstract

Motion feature is the basic feature of smoke in the sequence. The spatial feature and color feature of smoke can be helpful to extract the motion feature of smoke. In this paper, we study how to express the three features of smoke and how to integrate these features effectively. We propose a Multi-Scale Cross Attention Net(MSCANet) to extract the three features of smoke and establish the relationship between the three features. It is composed of Multi-Scale Convolution Module(MSCM) and Cross Attention Module(CAM). MSCM uses convolution kernels of different size to extract feature mapping in different receptive fields,which can capture the global and local features of each smoke image. We establish three MSCM to extract three features independently, and the convolution parameters of different MSCM are not shared, which can realize the independence of different feature extraction. CAM uses the attention mechanism to strengthen the expression ability of smoke features, and uses attention map multiply by two external features to realize the fusion and mutual guidance of the three features. We embed CAM into MSCM to realize the independence and correlation of three feature extraction. We conducted comparative experiments and ablation experiments in our own large dataset, and the accuracy can reach 84.94%. Experimental results show that the proposed method can effectively fuse the three features of smoke, so as to effectively detect smoke.
Effectiveness and security of low-dose aspirin supplementation for patients before 12 weeks’ gestation: A systematic review
Authors: Gao Liang , Li Qiongge 
Published: June 2022

Abstract
Purpose:The aim of the present study was to evaluate low-dose aspirin in the first trimester (≤12 weeks) whether or not can improve adverse pregnancy outcomes, such as pregnancy rate, live birth rate, pregnancy complications, and adverse reactions in pregnant women using a model‐based meta‐analysis.MethodsA systematic literature search of public databases was conducted. Entry criteria were randomized controlled trials evaluating the effect of aspirin administered at <12 weeks’ gestation compared to placebo or no-treatment. ResultsThe entry criteria were fulfilled by 22 randomized controlled trials on a combined total of 6173 participants. The main findings of this study were that for women with recurrent miscarriage, antiphospholipid antibodies, and IVF/ICSI treatment, the first trimester (<12 weeks) use of low dose aspirin for the pregnancy rate, fertility, pregnancy complications and aspirin adverse reactions had no significant effect. ConclusionsThis study demonstrated that the administration of low-dose aspirin at <12weeks’ gestation in high risk women does not change the pregnancy rate, the birth rate, the risk of pregnancy complications and aspirin adverse reactions.
A bacterial E2 enzyme regulates an antiviral cGAS through a peptide exchange-ligation-cleavage mechanism
Authors: Zhu Bin , Yan Yan , Huang Fengtao , Yu Bingbing , Cheng Rui , Wu Hui , Lu Xueling , Wang Xionglue , Xiao Jun , Wang Longfei 
Published: June 2022

Abstract
The cyclic oligonucleotide based anti phage signaling systems (CBASSs) are a family of defense systems in prokaryotes. Composed of a cyclic GMP-AMP synthase (cGAS) and CBASS-associated proteins, CBASSs utilize cyclic oligonucleotides to activate antiviral immunity. One major group of CBASS-associated proteins are homologs of eukaryotic E2 ubiquitin-conjugating enzymes. However, the function of E2 in CBASSs remains elusive. Here, we report that a bacterial E2 forms a covalent bond with cGAS, between the active site of E2 and a glycine near the C-terminus of cGAS. Unlike the eukaryotic ubiquitination system where E1 catalyzes covalent bond formation between E2 and ubiquitin, this covalent bond is directly formed between the “glycinated” cysteine at the E2 active site and the cGAS glycine residue, thereby releasing the C-terminal peptide of the cGAS. We further found that this link stabilizes cGAS, while it inhibits its synthetase activity. In the presence of danger signals such as ADP and PPi, the covalent E2-cGAS complex undergoes auto-proteolysis to release cGAS, which then produces 3',2'-cGAMP to activate antiviral defense. Our findings reveal a novel form of E2-mediated covalent modification, a negative regulatory role of E2 in CBASS, and an unexpected interplay between cGAS signaling and the ubiquitin system in bacteria.
Attenuation of cognition impairments in epilepsy-induced rats treated with Sarawata Churna
Authors: Bakthavatchalam¹ Pugazhandhi , Thangarajan² Rajesh , Thomas³ R Huban , Surendran Sudarshan 
Published: June 2022

Abstract
The purpose of this study was to see how Saraswata Churna (SC) affected the cognition of 4-month-old adult male Wistar rats who had epilepsy. One of the most common epilepsy symptoms is memory impairment. The elevated plus maze (EVPM) and Morris water maze (MWM) tests were used to assess the effect of SC on rat learning and memory. Pilocarpine (270 mg/kg BW, i.p.) was used to induce epilepsy. Saraswata Churna's effect on pilocarpine-induced epilepsy was evaluated. Saraswata Churna (300 mg/kg b.w. orally) improved the rats' cognitive performance, as shown by reduced latency in the EVPM, decreased escape latency during training, and more time spent in the target zone during recovery in the MWM. Saraswata Churna (300 mg/kg b.w. oral) has memory-enhancing action comparable to phenytoin (30 mg/kg b.w. i.p.). Saraswata Churna demonstrated memory-improving efficacy in rats, most likely because to its phytoconstituents, which have anti-inflammatory, antioxidant, and anticonvulsive properties.