bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on Multisize Effect of Mining Influence of Advance Speed in Steeply Inclined Extrathick Coal Seam
Authors: Jia Chong , Lai Xingping , Cui Feng , Feng Ganggui , He Shifeng , Gao Yuanjiang , Tian Mengqi 
Published: July 2022

Abstract
Aiming at the multisize effect of mining in steeply inclined extrathick coal seam, taking the fully mechanized top-coal caving mining in B3+6 coal seam +425 level in the south of Wudong coal mine as the background, this paper studies the mining stress evolution law under the influence of advancing speed, analyzes the mechanical characteristics of coal samples under the mining action of steeply inclined extrathick coal seam, and completes the multisize effect study of mining in steeply inclined extrathick coal seam. The results show that the stress change theory of fully mechanized top-coal caving mining in steeply inclined seam is deduced, and the loading and unloading stress of fully mechanized top-coal caving mining is positively correlated with the advancing speed of the working face. The numerical simulation experiment shows that the ideal advancing condition increases with the advancing speed of the working face, and the cyclic loading and unloading amplitude under the mining stress path increases, the cyclic times decrease, the main influence area increases, and the acting time decreases. The peak value of mining stress, the width of the plastic zone, and its elastic energy under high-speed propulsion are obviously larger. A method of mechanical behavior analysis of coal samples is proposed, which takes the mining stress path of the numerical simulation experiment as the indoor scale loading and unloading stress path of coal samples. The average compressive strength of coal samples under the mining stress path increases with the advancing speed of the working face, and the damage degree of coal samples increases with the advancing speed of different stress paths. The input strain energy of coal cyclic loading and unloading increases with the increase in the advancing speed of the stress path. The input strain energy of the coal sample has obvious linear relationship with the advancing speed of different paths. The research results can be used for reference in the study of multisize effect of mining impact of advancing speed.
Application of Remote Fetal Heart Rate Monitoring Based on Internet in Late Pregnancy During the COVID-19 Pandemic
Authors: Zhou Shuguang , Jin Qinqin , Jiang Xiya , Bingbing Wang , Yao Hui , Yang Yinting , Ying Jie , Tian Lu , Zhang Weiyu , Zhu Yuting , Chen Guo , Cao Wujun 
Published: July 2022

Abstract
Objective：To evaluate the consistency of pregnancy outcomes and related clinical monitoring indicators in high and low risk group under two different monitoring methods during COVID-19 pandemic.Methods：760 cases of late pregnant women admitted to our hospital from March 2020 to February 2021 were selected for this study. They were randomly divided into control group (n = 380) and observation group (n = 380). Observation group the fetus was monitored remotely at home，while the control group went to the hospital for fetal heart monitoring.To evaluate the consistency of pregnancy outcomes and related clinical monitoring indicators in different groups under two different monitoring .Results:It was found that there was no statistically significant difference between the two groups in terms of pregnancy outcome (including mode of delivery, postpartum hemorrhage, etc.) and neonatal outcome (including preterm birth rate, neonatal weight, neonatal Apgar score, etc.) (p>0.05). It should also be noted that the difference in EPDS score results between the two groups was statistically significant (p<0.05) . Meanwhile, there was a statistically significant difference in the total cost of labor and delivery between two groups (p<0.05) and total time spent on labor and delivery between the two groups(p<0.05).Conclusions:Remote Fetal Heart Rate Monitoring Based on Internet is an innovative, acceptable, and effective reduced-frequency prenatal examination model. Compared to routine prenatal examination, Remote Fetal Heart Rate Monitoring Based on Internet resulted in higher patient satisfaction and lower prenatal stress. Besides, Remote Fetal Heart Rate Monitoring Based on Internet compared with the traditional fetal heart monitoring does not affect the pregnancy outcomes of pregnant women with different risk factors, maternal accept degree is high, and to reduce the medical resources pressure. It is an effective and feasible way for self-monitoring of pregnancies in late pregnancy during the pandemic of COVID-19 and is worthy of clinical application.
Isoflavones have a potential role in off-flavour scavenging, with isoflavone synthase 2 (IFS2) as a key player in determining isoflavone accumulation in soybean seeds
Authors: Kumar Sandeep , Banerjee Sagar , Kaur Amandeep , Sasi Minnu , Kumari Sweta , Sachdev Archana , Dahuja Anil 
Published: July 2022

Abstract
Soybean (Glycine max (L.) Merr) is a nutrient-rich crop with limited consumer acceptability because of the presence of off-flavour. Owing to the ubiquity of isoflavones in soybean, their inherent antioxidant potential, and their inhibitory effect on lipoxygenase activity, their sensorial attribute in mitigating off-flavour is currently being envisaged. We estimated the content and composition of isoflavones in 17 soybean cultivars and established the correlation between isoflavone profile and lipid peroxidation, which was measured in terms of thiobarbituric acid (TBA) number and carbonyl value. The results showed a significant negative correlation of these parameters with the total isoflavone content and genistein: daidzein ratio. In addition, expression analysis of a key gene involved in isoflavone biosynthesis, i.e., isoflavone synthase (IFS1 and IFS2), in contrasting soybean genotypes during seed development revealed a higher expression of both isoforms in Bragg (high isoflavone) compared to PUSA 40 (low isoflavone) at different stages of seed development accompanied by more isoflavone accumulation. The cloning and in silico analysis of IFS isoforms revealed a more significant interaction with other biosynthesis enzymes by IFS2, indicating its more substantial role in isoflavone synthesis. IFS2 overexpression can thus be a valuable target to increase isoflavone biosynthesis, thereby scavenging off-flavour.
Research on the Technology of Breaking the Shannon Channel Capacity and Shannon Limit
Authors: Liang Dequn , Dou Xinyu 
Published: July 2022

Abstract
In this paper, firstly, the Shannon channel capacity is briefly stated, and the relationship between it and the signal uncertainty principle is analyzed in order to prepare for deriving the formula which can break through the Shannon channel capacity. Then, as practical examples of breaking the Shannon channel capacity, the time-shift non-orthogonal multicarrier modulation technology (TS-NMT) and the time frequency pulse time delay multicarrier modulation technology (TFP-TDMC) are introduced. After more than twenty years of development, this technique is proved to be a practical modulation technique for digital communication. At the end of the paper, a hypothesis about the physical nature of information is proposed.
Microbial bioremediation of feather wastes and eco-friendly production of keratinase and collagenase enzymes by Didymella keratinophila, the first-recorded fungus from Assiut, Egypt
Authors: Al-Bedak Osama Abdel-Hafeez Mohamed , Moharram Ahmed Mohamed , Hussein Nemmat Abdel-Gawad , Taha Doaa Mohamed 
Published: July 2022

Abstract
During a routine examination of Coelomycetes isolated from various fruit juices in Assiut Governorate, Egypt, a unique isolate was discovered and visually identified as a Didymella member. The fungus was confirmed as Didymella keratinophila based on sequencing of the internal transcribed spacer (ITS), since it had 100% identity to the type strain. This is the first time the fungus has been recorded in Egypt. The strain was able to flourish and hydrolyze native chicken feather in SmF to produce keratinase and collagenase enzymes. The keratinase enzyme performed best at pH 7.0 and 45 oC, yielding 44903 ± 1555 IU/mg keratinase activity, while collagenase enzyme be really at pH 6.0 and 8.0 at 35 oC and 60 oC, yielding 15753 ± 110 IU/mg and 16312 ± 21 IU/mg, respectively indicating two collagenases. The keratinases and collagenases produced were significantly inhibited by EDTA and the ions. Mn+ 2 had the most effective inhibitory effect on keratinases while K+ had the most potent inhibitory influence on collagenase. The current study identifies a feasible producer of keratinase and collagenase enzymes sourced from chicken feathers, providing a safe method for using these wastes to produce high-value commodities.
Distribution and ecological risk assessment of heavy metals in sediments of Dajiuhu Lake Wetland in Shennongjia, China
Authors: Wang Jiumei , Ge Jiwen , Yang Xiaojing , Cheng Dandan , Yuan Chenhao , Liu Ziwei , Yang Shiyu , Guo Yan , Gu Yansheng 
Published: July 2022

Abstract
The rapid development of modern industrialization led to the discharge of high number of heavy metals into wetlands, which continued to accumulate and cause pollution. Located in the Shennongjia Forest District of Hubei Province in China, Dajiuhu is one of the list of international key wetlands, which is a typical representative of the wetland ecosystem and has certain scientific research value. In this study, the surface sediments of nine sub-lakes in Dajiuhu were collected in August 2020, and the total contents of Cd, Cr, Cu, Ni, Pb and Zn in the sediments have been measured. The occurrence and speciation characteristics of heavy metals have been analyzed by an improved BCR extraction method. Potential ecological risk index, geo-accumulation index, risk assessment code and pollution factor method were used to evaluate the pollution degree and ecological risk of heavy metals. The possible sources of heavy metals were estimated based on the total contents of heavy metals. The results show that the heavy metal content in lake sediments of Dajiuhu wetland is Zn>Cr>Ni>Pb>Cu>Cd in sequence, and only the average content of Cd exceeded the standard of the national nature reserve. Although Pb did not exceed the standard value, due to the proportion of different forms caused it and Cd both brought some pollution as well as ecological risk to the lakes and wetlands. The spatial distribution of heavy metal content in the nine sub-lakes does not vary regularly. The sources of heavy metals in the lake sediments of Dajiuhu wetland among which Ni, Cr and Cu are mainly natural factors, Cd and Pb are mainly anthropogenic factors, and Zn is caused by both sources together. This study can further improve the study of heavy metal pollution in the lake wetlands and provide a relevant basis and direction for the management of heavy metal pollution in the Dajiuhu wetland.
The impact of tumor board on breast cancer care: evidence from a systematic literature review and a meta-analysis
Authors: Pilla Andrea Di , Cozzolino Maria Rosaria , Mannocci Alice , Carini Elettra , Spina Federica , Castrini Francesco , Grieco Albino , Messina Sara , Damiani Gianfranco , Specchia Maria Lucia 
Published: July 2022

Abstract
BackgroundBreast cancer is the most common malignancy in women, with a complex clinical path that involves several professionals. A multidisciplinary approach is therefore essential and there is a growing emphasis on its application to breast cancer care. However, the effectiveness of breast cancer multidisciplinary care and the processes that contribute to its effectiveness have not yet been firmly determined. This study aims to evaluate the impact of MTBs on breast cancer care outcomes.MethodsA systematic literature review was carried out through Scopus, Web of Science and Pubmed databases. The search was restricted to articles assessing the impact of MTB implementation on breast cancer care, written in English and Italian language, published between 1995 and 2021.The quality of the included articles was assessed using the Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies and the Quality Assessment Tool for Before-After (Pre-Post) Studies With No Control Group from National Heart, Lung and Blood Institute Study Quality Assessment Tools. To combine not homogeneous results, when appropriate, meta-analysis was performed.ResultsFourteen studies, published between 2006 and 2021, were included in the review. From the quality assessment, seven studies were found to be of FAIR and seven of GOOD quality. The most analysed outcomes were: diagnosis, therapy and survival. Four out of four studies showed that with the implementation of the MTB there was a change in diagnosis, and seven out of seven studies reported changes in the treatment plan after MTB implementation. In terms of survival, results were not unanimous. A pooled analysis of three studies reporting results on the outcome “mortality” showed, in the fixed-effects model (p=0.43), a statistically significant 14% reduction of mortality relative risk for patients enrolled versus not enrolled in MTBs (pooled HR = 0.86; 95%CI: 0.81- 0.97). ConclusionsThis study shows that the implementation of the MTBs is a valuable approach to deliver appropriate and effective care to patients affected by breast cancer and to improve their outcomes. Further studies are needed to enrich the evidences available to date concerning especially the outcomes less investigated, but important to improve clinical care and care processes.
Community-based non-pharmacological interventions for pregnant women with gestational diabetes mellitus: a systematic review
Authors: Igwesi-Chidobe Chinonso Nwamaka , Okechi Peace Chioma , Emmanuel Grace Nneoma , Ozumba Benjamin C 
Published: July 2022

Abstract
BackgroundNon-pharmacological interventions are the first line of Gestational diabetes mellitus (GDM) management. Community-based interventions are cheaper, more accessible, with higher patient satisfaction. ObjectivesTo systematically review community-based non-pharmacological interventions and evaluate their effectiveness for GDM. Search StrategyTwelve bibliographic databases and reference list of related studies from inception until January 2022. Selection CriteriaAll primary studies of community-based non-pharmacological interventions for GDM reported in English which investigated any behavioural or clinical outcome(s). Data Collection and AnalysisData were extracted using modified Cochrane’s data extraction template. Studies were evaluated using Cochrane Collaboration’s risk of bias tool. Narrative synthesis was used to summarise findings. This study is registered with PROSPERO (CRD42021257634).Main Results27 studies involving 6,242 pregnant women with GDM involved self-management programmes, medical nutrition/diet therapy, exercise/physical activity, combined diet and exercise, calcium plus vitamin D supplementation, and continuous glucose monitoring. Self-management programmes were more effective than routine care in improving self-efficacy, two-hour postprandial blood glucose, and lifestyle behaviours but were as effective as routine care in improving infant birth weight. Self-management programmes were superior to or as effective as usual care in improving fasting blood glucose, blood glucose control, glycated haemoglobin, macrosomia, and preterm delivery. Medical nutrition/diet therapy was more effective than usual care in improving postprandial blood glucose levels. Limited/conflicting evidence was found for other outcomes and interventions. ConclusionsCommunity-based non-pharmacological interventions are more effective than placebo; and are more or as effective as usual care. Self-management programmes and medical nutrition/diet therapy had the most promising GDM outcomes.
Transfer and Active Learning of High Dimensional Neural Network Potentials for Transition Metal Clusters and Bulk
Authors: Sankaranarayanan Subramanian , Varughese Bilvin , Manna Sukriti , Loeffler Troy , Batra Rohit , Cherukara Mathew 
Published: July 2022

Abstract
Classical molecular dynamics (MD) simulations represent a very popular and powerful tool for materials modeling and design. The predictive power of MD hinges on the ability of the interatomic potential to capture the underlying physics and chemistry. There have been decades of seminal work on developing interatomic potentials albeit with a focus predominantly on capturing the properties of bulk materials. Such physics-based models, while extensively deployed for predicting dynamics and properties of nanoscale systems over the past two decades, tend to perform poorly in predicting nanoscale potential energy surface when compared to high-fidelity first-principles calculations. These limitations stem from the lack of flexibility in such models, which rely on a pre-defined functional form. Machine learning models and approaches have emerged as a viable alternative to capture the diverse size-dependent cluster geometries, nanoscale dynamics and the complex nanoscale potential energy surfaces (PES), without sacrificing the bulk properties. Here, we introduce an ML workflow that combines transfer and active learning strategies to develop high-dimensional neural networks (NN) for capturing cluster and bulk properties for several different transition metals with applications in catalysis, microelectronics, and energy storage to name a few. Our NN first learns the bulk PES from the high-quality physics-based models in literature and subsequently augments this learning via retraining with a higher fidelity first-principles training dataset to concurrently capture both the nanoscale and bulk PES. Our workflow departs from status-quo in its ability to learn from a sparsely sampled dataset that nonetheless covers a diverse range of cluster configurations from near-equilibrium to highly non-equilibrium as well as learning strategies that iteratively improves the fingerprinting depending on model fidelity. All the developed models are rigorously tested against an extensive first-principles dataset of energies and forces of cluster configurations as well as several properties of bulk configurations for 10 different transition metals. Our approach is material agnostic and provides a methodology to transfer and build upon the learnings from decades of seminal work in molecular simulations on to a new generation of ML trained potentials to accelerate materials discovery and design.
Stromal Vascular Fraction From Canine Adipose Tissue Comprises Mesenchymal Stromal Cell Subpopulations Characterized by Time-dependent Binding Affinity to Culture Plastic
Authors: Scattini Gabriele , Pellegrini Martina , Severi Giulio , Pascucci Luisa 
Published: July 2022

Abstract
BACKGROUD: Mesenchymal Stromal Cells (MSC) from adipose tissue are among the most extensively investigated cells for clinical applications both in human and veterinary medicine. Their isolation is mostly carried out by collagenase digestion followed by filtration and seeding. Non-adherent cells are then removed from culture 48 hours upon seeding. Our hypothesis is that fragments eliminated by filtration or discarded after 48h might contain residual MSC that adhere later to the plastic, also after 6 days (144 hours) upon isolation. The aim of this study is to evaluate the basic features of cells that adhere to the plastic at 3 different time points after isolation in order to speculate on the possible existence of MSC subpopulations that are located in different tissue niches.METHODS: Subcutaneous adipose tissue collected from 3 dogs was minced and digested with collagenase I. Three cell populations were obtained at different time points from isolation (48h, 96h, and 144h). They were expanded until passage 3 and characterized by flow cytometry for positive (CD90, CD44, CD29) and negative (CD14, MHC2, CD45) MSC markers as well as for CD31 (endothelial cell marker), CD146 (pericyte marker), alpha-SMA (smooth muscle cell marker). At passage 3, cells were evaluated for viability (MTT assay), doubling time, and trilineage differentiation ability.RESULTS: No significant differences between the 3 subpopulations were observed. They were all characterized by the expression of MSC positive markers and by the absence of negative markers. CD31, CD146, and alpha-SMA were expressed by less than 5% of the cells in all the 3 sub-populations. No differences in differentiation ability and viability were detected. Doubling time ranged between 25 and 30 hours in all the 3 experimental groups.CONCLUSIONS: The 3 cell subpopulations were similar in terms of immunophenotype, proliferation, and differentiation potential. In this view, the procedure of sequential adhesions seems to be a useful method to efficiently improve MSC yield. Indeed, it allows for optimized cell recovery, reducing the amount of sampled tissue and shortening the time necessary to obtain an adequate number of cells for clinical applications. However, functional differences cannot be excluded, and potency assays are required in order to explore possible distinct biological attitudes.
Recreational athletes’ use of performance enhancing substances: Results from the first European Randomized Response Technique survey
Authors: Christiansen Ask Vest , Frenger Monika , Chirico Andrea , Pitsch Werner 
Published: July 2022

Abstract
Background and Aim: Measuring prevalence of doping in recreational sport is difficult. However, to fit their initiatives, National Anti-Doping Organizations are interested in knowing the numbers so their scarce resources are not wasted. The present study aimed to estimate the prevalence of doping and over-the-counter medicine for performance enhancement among recreational athletes in eight European countries.Design: A survey covering +200 sports aimed at recreational athletes 15 years and older was distributed via social media to sports clubs and individuals in eight European countries. To overcome social desirability bias, we applied indirect questioning by using the Randomized Response Technique and asked for the use of over-the-counter medicine and doping for the year 2019.Results: Prevalence of the use of over-the-counter medications for performance enhancement was estimated at 10.4%. We differentiated between the concept of “doping” as the behavior to enhance performance in a certain sport and the concept of “a doper” as a property of a person. The prevalence of dopers in recreational sport was found to be 0.4%, with 3.1% male and 0% female dopers. Responses were separated into four categories: “Artistic sports”, “Combat sports”, “Games”, and “CGS sports” (i.e., sports measured in centimeters, grams, and seconds). The overall prevalence for doping in recreational sports was found to be 1.6% and the results from Artistic and CGS sports did not differ significantly from this. However, in Games we found an estimated doping prevalence of 6.9%.Discussion and Conclusion: The estimates for the prevalence of dopers and doping in this study, does not equal Anti-Doping Rule Violations as stipulated by the World Anti-Doping Agency. Still, while doping is not absent in recreational sport in Europe, it is a low frequent phenomenon. Also, the differences in doping prevalence between the sports categories might reflect structural and competition-related differences, rather than differences in the logic of the sporting competition or discipline-related subcultures. Therefore, doping in recreational sports needs tailored research approaches to come to a better understanding of the phenomenon.