bluuebunny/crossref_metadata_2025 huggingface dataset:
Manganese Schiff Base Complexes, Crystallographic Studies, Anticancer Activities, and Molecular Docking
Authors: Odularu Ayodele Temidayo
Published: August 2022

Choice of ligands is significant to successful synthesis of metal complexes (coordination compounds). This study reports the use of Schiff base as the right ligand to control the poor bioavailability and neurodegenerative toxicity challenges of manganese ion. In line with this study, document analysis was used as the methodological approach to evaluate the significance of Schiff base ligands in easing these manganese’s challenges and aligning the resultant coordination compounds (manganese Schiff base complexes) as therapeutic agents in anticancer studies. Report also involves crystallographic studies where single crystal X-ray crystallography was used as a chemical characterization technique. In addition, molecular docking studies, MOE2008, and AutoDock software were used to reveal the mode of interaction between the Schiff base and the manganese(II) and (III) ions, as well as scrutinizing the biological efficacy of the manganese(II) and manganese(III) Schiff bases coordination compounds as anticancer agents against some anticancer cell lines. Conclusion drawn was that manganese(II) and manganese(III) Schiff bases coordination compounds gave more active and potent activities than the corresponding Schiff bases. As a result, challenges of neurodegenerative toxicity and poor bioavailability of manganese ion were overcome, and the chelation therapy was fulfilled. Results from single crystal X-ray crystallography confirmed the successful synthesis of manganese(II) and manganese(III) Schiff bases coordination compounds and revealed the mechanism of reaction, while the molecular docking buttressed the biological activities of the Schiff base ligand and manganese Schiff base coordination compounds by portraying the structure activity relationship (SAR) between either Schiff base or the manganese Schiff base coordination compounds and the virtual cancer cell line (receptor protein), where hits were obtained for lead optimizations.
Researching a Simulation of Real-Time Nonlinear Dynamical Systems for Digital Power Grids in Massive IoT
Authors: Zhang Yingbin , Zhao Xiaowei , Wang Guoshi , Yan Qing , Li Siming , Liu Ying
Published: August 2022

“Digital real-time simulation” refers to the replication of output waveforms with the required accuracy, which duplicates the behavior of a real power system that is being simulated. A variety of problems relating to the functioning of power systems can be effectively solved using real-time simulators. Fortunately, modern state-of-the-art technological advancements have solved the energy problems. When used as a real-time application of electromagnetic transient-type simulation, the real-time digital simulator takes advantage of the traveling wave properties of cables and transmission lines in conjunction with a parallel processing platform. Power Control (PC), Hardware Under Test (HUT), Time Scale of Events (TSE), and Control Action (CA) are used as independent variables and the Real-Time Dynamic Simulation (RTDS) has been used as dependent variables. The objective of study improves the energy production in Digital Power Grids using Real-time Dynamic Nonlinear System Simulation System. The data was collected by using questionnaires based on 5-Likert Scale. The data has been analyzed using smart PLS 3. The questionnaire were filled from 50 technicians of power grids. The results are that Real-Time Dynamic Simulation improves the energy production in Digital Power Grids.
Semiconductor Materials for Solar PV Technology and Challenges towards Electrical Engineering
Authors: Siva Ramkumar M. , Felshiya Rajakumari R. , Kannan Nithiyananthan , Premkumar R. , Mohanasundaram S. , Purushotham S. , Ramya D. , Rajan Kavitha
Published: August 2022

The contemporary concern in worldwide power scenario and consumption rate is frightening significantly at a marvelous amount of population, and it originates a very high augment in the electrical energy area. The all-embracing attraction and manufacture of fossil energy is the chief reason in the ecological issues. Due to these relic fuels, the ecological resources get exhausted, and it results in climatic change. Due to these negative aspects, every country puts effort to bring the energy efficiency high with the help of renewable energy. Presently, the solar energy donation worldwide decreases. Contrarily, solar energy contribution to the global energy is highly contrary to nonconventional energy resources. But there is a progress in power generation, and it plays a vital role in solar photovoltaic generation. Gallium nitride and silicon carbide power semiconductors will emerge to bring the efficiency high in the photovoltaic technology. In this work, we will converse about how to increase the efficiency by using gallium nitride.
Effect of Hypertension, Waist-to-Height Ratio, and Their Transitions on the Risk of Type 2 Diabetes Mellitus: Analysis from the China Health and Retirement Longitudinal Study
Authors: Han Lin , Li Xiaoyan , Wang Xin , Zhou Jiao , Wang Qiang , Rong Xiujuan , Wang Gang , Shao Xiaoli
Published: August 2022

Background. Diabetes is a major reason of death and disability worldwide and frequently coexists with hypertension and central obesity. This study is aimed at investigating the effects of hypertension, waist-to-height ratio (WHtR), and their dynamic transitions on type 2 diabetes mellitus (T2DM) onset among middle-aged and elderly people in China. Methods. We analyzed 9843 participants free of T2DM (average age,

59.04
±
9.26

years) at baseline from the China Health and Retirement Longitudinal Study. We classified the participants into the following four categories based on hypertension and WHtR statuses: nonhypertensive with a normal WHtR (NHNW); hypertensive with a normal WHtR (HTNW); nonhypertensive with an elevated WHtR (NHEW); and hypertensive with an elevated WHtR (HTEW). By using a Cox proportional hazards regression model, we assessed whether hypertension, WHtR, and their transitions over time correlated with T2DM risk. Results. During the follow-up of 8 years, 1263 participants developed incident T2DM. The hazard ratio (HR) for T2DM was 1.48 (95% CI: 1.12, 1.97), 1.56 (95% CI: 1.27, 1.92), and 2.15 (95% CI: 1.74, 2.67) in the HTNW, NHEW, and HTEW groups, respectively, compared with the NHNW group after controlling for confounding factors. When stratified by statuses of hypertension and WHtR transitions, the participants who transitioned from HTNW to HTEW (

HR
=
1.98

, 95% CI: 1.24-3.17), or NHEW to NHNW/HTNW (

HR
=
1.74

, 95% CI: 1.14–2.65), or remained NHEW (

HR
=
1.42

, 95% CI: 1.04-1.93), or NHEW to HTEW (

HR
=
2.40

, 95% CI: 1.66-3.49), or remained HTEW (

HR
=
2.51

, 95% CI: 1.87-3.37) during the follow-up period showed a higher T2DM risk than the consistently NHNW participants. Conclusions. Being HTNW, NHEW or HTEW or occurring adverse transitions between those states was strongly associated with T2DM onset. Effectively warding off hypertension and central obesity or preventing their further aggravation may substantially decrease the T2DM risk.
Application of Artificial Neural Network in College-Level Music Teaching Quality Evaluation
Authors: Shi Yantao
Published: August 2022

Art is a very practical activity, especially music art. Quality music education at colleges and universities is vital for the ideological and moral schooling of students. Owing to the rapid expansion of music education at graduate level, the building of therapeutic evaluation of music instruction is critical. In fact, most of the music instruction in colleges and universities has not built a scientific and appropriate evaluation system based on the actual teaching quality of the classroom. This work combines the emerging neural network (NN) technology with standard method of music teaching evaluation and proposes a novel method—Music Teaching Quality Evaluation Network (MTQEN). To effectively improve performance of the model, the method uses a one-dimensional convolutional neural network (1D-CNN) being optimized from three aspects: expanding the receptive field, reducing training parameters, and enhancing operationality. Instead of the traditional convolution layer, the dilated convolution layer is utilized to increase scope of local receptive field and to improve the feature extraction efficacy. To improve training rate and to eliminate dependency on batch size, the filter response normalization (FRN) is used. Moreover, global pooling is used to reduce the requisite training parameters and to improve the training efficiency. Results of the evaluation show that performance of MTQEN in term accuracy (95.6%) and recall (93.3%) is better than the other contemporary models. The method proposed has great significance in pedagogy of music and arts, whereas the network designed may be enhanced to effectively evaluate teaching in related domains as well.
[Retracted] Environmental Regulation, Financial Resource Allocation, and Regional Green Technology Innovation Efficiency
Authors: Bao Qinglin , Chai Huaqi
Published: August 2022

This paper empirically studies the environmental regulation, financial resource allocation, and regional green technology innovation efficiency by using provincial panel data from 2005 to 2019. The results show that the cost‐input environmental regulation is negatively correlated with the efficiency of regional green technology innovation, while the government‐subsidized environmental regulation is positively correlated with the efficiency of regional green technology innovation. The mechanism test shows that the cost‐input environmental regulation reduces the efficiency of green technology innovation by restraining the allocation of financial resources, while the government‐subsidized environmental regulation lifts the efficiency of green technology innovation by improving the allocation of financial resources. As far as different regions are concerned, the cost‐input environmental regulation has a significant inhibitory effect on the eastern and central regions, while the government‐subsidized environmental regulation has a significant improvement effect on the central and western regions.
Hierarchical Strategies for Building Multiethnic Communities from the Perspective of Data Mining Analysis
Authors: Qin Suhan
Published: August 2022

The formation of a multi-ethnic community is the need of the times for ethnic relations. Its construction must first establish a homogeneous space that can support interethnic coexistence, including national public living space and national public cultural space, and, on this basis, form a heterogeneous space that is compatible with the existence of national individuality, so as to appreciate in national understanding. The expression, communication, and broad recognition of national individuality determine its important position in the construction of national community. In the process of building the Chinese nation community, the main purpose is to strengthen the Chinese cultural identity, build a spiritual home shared by all ethnic groups, and consolidate the community consciousness of the Chinese nation. Based on this, this paper mainly studies the engineering application based on data mining algorithm and data mining algorithm in the construction of multi-ethnic community. By summarizing the experience in the process of the construction of the Chinese nation community, some solutions are put forward to the problems in the construction of the national community and strive to focus the value orientation of all members of the nation on the identification of the common values of the Chinese nation.
[Retracted] Spiral CT Image Characteristics and Differential Diagnosis Secondary Pulmonary Tuberculosis and Lung Cancer Based on Visual Sensors
Authors: Zhou Cheng , Li Gang , Zhang Lianyu
Published: August 2022

Helical CT plain scan has high spatial and area resolution, which is beneficial to the extraction of CT features of pulmonary nodules, and is of great significance for the diagnosis and differential diagnosis of pulmonary diseases. In order to deeply study the role of visual sensor image algorithm in CT image, this paper adopts clinical simulation method, data fusion method, and image acquisition method to collect images, analyze CT image features, and simplify the algorithm and create a CT model that can better diagnose secondary tuberculosis and lung cancer. We selected 45 patients with lung disease in this group, with an average age of 38 years. At the same time, the consistency analysis results of the diameter and plain CT value data of the five groups of cases measured by two observers are between 0.82 and 0.88, which has a good consistency. We could find that the nodule diameters of the five groups of cases were different (F =16.99, P < 0.01), and the difference was statistically significant (P < 0.06), indicating that our data are not only accurate but also very reliable. ROC was used to analyze the precise value of CT values in the pulmonary tuberculosis group and lung cancer group, intrapulmonary lymph node group, and pulmonary hamartoma group to determine the cutoff value. The results showed that the AUC values of the pulmonary tuberculosis group and the lung cancer group were 0.788, and the middle was the largest, indicating that the values were guaranteed. The basic realization starts with visual sensor technology and designs a clinical model that can more accurately identify CT images and differential diagnosis.
Long-Term Survival and Risk Factors in Patients with Hepatitis B-Related Hepatocellular Carcinoma: A Real-World Study
Authors: Zhu Yu , Gu Ling-Ling , Zhang Fa-Biao , Zheng Guo-Qun , Chen Ting , Jia Wei-Dong
Published: August 2022

A retrospective cohort study was conducted to collect 465 patients with hepatitis B-related hepatocellular carcinoma who had undergone radical hepatectomy from January 1, 2012, to August 31, 2018, at the First Affiliated Hospital of the University of Science and Technology of China. The clinical, pathological, and follow-up information was collected to compare the basic characteristics of death and nondeath after radical resection. Kaplan–Meier curves were used for survival analysis and male and female subgroup analysis. The multivariate Cox proportional-hazards regression model was used to analyze independent risk factors related to postoperative death. Of the 465 patients with radical resection of hepatitis B-related hepatocellular carcinoma, 132 died, and 1-, 3-, and 5-year cumulative survival rates after operation were 92.1%, 78%, and 64%, respectively. In the male and female subgroup, 115 and 17 patients died, respectively. The 1-, 3-, and 5-year cumulative survival rates were 92.6%, 77.0%, and 62.6%, respectively, in men, and 89.6%, 78.8%, and 70.2%, respectively, in women. Multivariate Cox proportional-hazards regression analysis showed that microvascular invasion (MVI), Edmondson III/IV, BCLC stage B, and total bilirubin (TB) > 20.5 μmol/L were independent risk factors in patients with hepatitis B-related hepatocellular carcinoma after radical hepatectomy.
High‐Resolution Histopathological Image Classification Model Based on Fused Heterogeneous Networks with Self‐Supervised Feature Representation
Authors: Lai Zhi-Fei , Zhang Gang , Zhang Xiao-Bo , Liu Hong-Tao
Published: August 2022

Applying machine learning technology to automatic image analysis and auxiliary diagnosis of whole slide image (WSI) may help to improve the efficiency, objectivity, and consistency of pathological diagnosis. Due to its extremely high resolution, it is still a great challenge to directly process WSI through deep neural networks. In this paper, we propose a novel model for the task of classification of WSIs. The model is composed of two parts. The first part is a self‐supervised encoding network with a UNet‐like architecture. Each patch from a WSI is encoded as a compressed latent representation. These features are placed according to their corresponding patch’s original location in WSI, forming a feature cube. The second part is a classification network fused by 4 famous network blocks with heterogeneous architectures, with feature cube as input. Our model effectively expresses the feature and preserves location information of each patch. The fused network integrates heterogeneous features generated by different networks which yields robust classification results. The model is evaluated on two public datasets with comparison to baseline models. The evaluation results show the effectiveness of the proposed model.
Hyperuricemia Increases the Risk of Atrial Fibrillation: A Systematic Review and Meta-Analysis
Authors: Gao Zheng , Shi Hekai , Xu Wei , Guan Zhengzhao , Su Xiuxiu , Guo Nuojin , Ma Huijie
Published: August 2022

Association between hyperuricemia (HUA) and atrial fibrillation (AF) remains unclear. We reviewed clinical evidence and aimed to determine whether hyperuricemia leads to a high risk of atrial fibrillation. Most studies were identified through databases online. Keywords used in literature search were hyperuricemia, atrial fibrillation, metabolic disorder, endocrine disorder, or uric acid. Three studies were provided by the authors. Literature search was performed without any data or language restriction. Observational studies, including cohort studies and cross-sectional studies, were used. Study type should be clearly defined. Cross-sectional studies should clearly introduce the sources of epidemiological data. Studies were excluded if with too many complications unrelated to AF enrolled. Data were independently extracted by three individuals. Data synthesis was conducted by R version 4.1.2. Prevalence of atrial fibrillation was the main outcome. Results of meta-analysis were presented as risk ratio (RR) for different prevalence of AF between individuals with and without HUA. All data included were obtained after follow-up work is completed. Data from 608,810 participants showed that patients with hyperuricemia were easier to suffer from atrial fibrillation (RR, 2.42; 95% CI, 1.24–3.03). And the meta-regressions suggested growth of linear proportion between the ratio of current drinkers and hyperuricemia (QM = 41.0069,

P
<
0.001

). Subgroup analyses demonstrated consistent results in different countries. And design of the observational studies brought heterogeneity, but no uncertainties. Patients with hyperuricemia were easier to suffer from atrial fibrillation. Treatment of hyperuricemia or gout may bring potential benefits for AF patients.
The Performance Evaluation of Logistics Enterprises in Online Supply Chain Finance Based on Analytic Hierarchy Process
Authors: Meng Jinhuan , Wang Shujie
Published: August 2022

With the accelerated pace of e-commerce, online supply chain finance (SCF) led by logistics enterprises (LE) has attracted increasing attention. On the basis of introducing the related concepts of online SCF dominated by LE, this paper constructs the performance evaluation index system of LE by integrating the balanced scorecard model. Then, we use the analytic hierarchy process (AHP) to evaluate the performance of LE and take company A as an example to calculate the total score of performance in the past seven years. Finally, according to the research results, we give some suggestions to optimize the performance of LE. The research results are conducive to promoting the online SCF model in reality.
Synthesis of Ag@AgCl/CA and Visible-Light Photocatalytic Degradation of Oxtetracycline
Authors: Gao Daxiang , Yang Hetong , Shu Zhen
Published: August 2022

Chemical coupling, in-situ deposition of supported AgCl, and photoreduction were used to create Ag@AgCl/CA. The morphology, structure, and surface area of the prepared Ag@AgCl/CA were characterized by SEM, TEM, FT-IR, and BET. The photogenerated electron transport efficiency and visible light absorption were analyzed by photocurrent and electrochemical impedance spectroscopy (EIS), respectively. The surface electrical properties and degradation stability were evaluated by zeta potential measurement and cyclic catalytic degradation experiments, and the photocatalytic mechanism was proposed in detail based on the ESR test and trapping experiment. The results showed that the cluster of Ag@AgCl nanoparticles were distributed on the CA crosslinking structure. The prepared Ag@ AgCl/CA photocatalytic material has a high Zeta potential, stable photocurrent, and small photogenerated electron transfer resistance. It has good adsorption and photocatalytic degradation stability for OTC. The material has a relatively strong absorption in the visible light range. Temperature and initial pH had significant effects on the degradation of OTC by photocatalytic materials. The photocatalytic degradation rate was the highest at 40°C and pH6, and the photocatalytic degradation process conformed to the quasi-first-order reaction kinetics. Holes (h+) and superoxide radicals (·O2－) were the main active species for the degradation of OTC.
A Study on Interval‐Valued Fuzzy Graph with Application in Energy Industry Management
Authors: Qiang Xiaoli , Xiao Qian-Ru , Khan Aysha , Talebi A. A. , Sivaraman Arun Kumar , Mojahedfar M.
Published: August 2022

In this paper, we define the concept of level graphs on interval‐valued fuzzy graphs (IVFGs) and introduce the notions of [α, β]−[α, β]− homomorphism, isomorphism, weak isomorphism, and co‐weak isomorphism of IVFGs by [α, β]− homomorphism. Also, an application of homomorphism of IVFGs has been presented by using coloring‐FG.
Estimating the Susceptibility of Four Wheat Cultivars to the Saw-Toothed Grain Beetle Oryzaephilus surinamensis (L.) (Coleoptera: Silvanidae)
Authors: Gharsan Fatehia Nasser
Published: August 2022

The quality and quantity of wheat are severely affected by insect infestation during storage. Excessive use of chemical pesticides has resulted in several environmental issues, in addition to the emergence of pesticide-resistant strains. Extensive research has been conducted to determine sustainable alternatives, such as the selection and cultivation of insect-resistant crop varieties. The aim of this study was to determine the degree of susceptibility of four wheat cultivars, namely, Albelad, Aldwasair, Australia, and Najran (NJ), to Oryzaephilus surinamensis (L.) using four parameters: F1 progeny, length of developmental period, Dobie’s index of susceptibility (DI), and percentage weight loss (PWL). Albelad was highly susceptible (DI =17.44) to O. surinamensis, followed by Najran (DI =8.42) and Australia (DI =6.18) (susceptible and moderately susceptible, respectively), whereas Aldwasair was moderately resistant (DI =4.67). Furthermore, there were significant positive correlations between DI and the mean number of F1 progeny (

R

2

 = 0.98) and between DI and grain weight loss (

R

2

 = 0.95). However, a significantly negative correlation (

R

2

 = −0.86) was observed between DI and beetle developmental period. These findings will aid the development of breeding programs to maintain the quality and quantity of wheat grains during storage.
The Homogeneous MADM Methods: Is Trade-Off between Attributes Important?
Authors: Arman Aref , Arman Hosein , Hadi-Vencheh Abdollah
Published: August 2022

Compensatory multiattribute decision-making (MADM) methods are founded on the trade-offs between attributes, allowing an alternative to compensate for its weakness in an attribute with its strength in another attribute. We call them heterogeneous MADM methods because they generally consider the unlimited trade-off between attributes. In other words, they even allow that very poor performance of an attribute to be compensated by the strong performance of another attribute. However, this may not be acceptable to decision makers (DMs). They may accept the limited trade-offs between attributes, making them more homogeneous. In these situations, MADM methods should be modified to consider the limited trade-offs between attributes. This modification comes with some conceptual and technical difficulties. This study presents some examples to show the concept of limited trade-offs clearly and presents a modified version of the simple additive weighting (SAW) method, H-SAW, considering the limited trade-offs between attributes. We also integrate H-SAW and fuzzy analytic hierarchy process (FAHP) methods to supplier selection and illustrate the real application of H-SAW method.
Collaborative Optimization Model of Highway Network with Tourism Resources as the Target Node
Authors: Niu Wei
Published: August 2022

In order to improve the collaborative optimization effect of tourism resources and highway network, this paper combines deep learning algorithm to construct a collaborative optimization model of tourism resources and highway network, and adopts an algorithm based on continuous convex approximation. By iterating the optimal solution obtained each time, a high-quality approximate beamforming matrix and artificial noise covariance matrix can finally be obtained, which eliminates the problem that the traditional algorithm cannot solve the noise. Moreover, this paper introduces artificial noise to prove that the rank relaxation is compact by considering the corresponding minimization power problem. The simulation results show that the proposed scheme and approximation algorithm can obtain better system security and speed than the existing literature, and there are certain improvements compared with the traditional method, so the effectiveness of the method in this paper is verified by simulation experiments.
[Retracted] Construction of a Large Visual Landscape Design Platform considering Low‐Carbon Environmental Protection Based on Nanomaterials
Authors: Chen Xiaopei
Published: August 2022

Due to the diversity of design data, the display effect of landscape design is not ideal. Based on the analysis of the requirements of low‐carbon landscape design, this paper constructs the hardware condition based on the data acquisition sensor, digital controller, image scanner, data storage device, and power control device and carries out Delaunay triangle netting for the terrain data preprocessed, reduces image shaking by introducing discrete elevation, and improves the image clarity by matching and optimizing the seed points of edge correlation to achieve high‐quality visualization of landscape design. The test results show that the design platform can show the design effect completely and clearly.
Detection of Ischemic Stroke Tissue Fate from the MRI Images Using a Deep Learning Approach
Authors: Alotaibi Nouf Saeed , Alotaibi Abdullah Shawan , Eliazer M. , Srinivasulu Asadi
Published: August 2022

The ability to determine infarction thickness using magnetic resonance perfusion modulated imaging (PWI) should assist physicians to decide how vigorously to treat severe stroke victims. Algorithms for predicting tissue fate have indeed been created, although they are largely based on hand-crafted characteristics extracted from perfusion pictures, which seem to be susceptible to background subtraction approaches. Researchers show how deep convolution neural networks (CNNs) can be used to predict final stroke infarction thickness only using primary perfusion data throughout this paper. The number of recoverable tissues determines the alternative treatments for patients with acute ischemic stroke. The accuracy of this measurement technique is currently restricted by a set threshold and limited imagining paradigms. The values collection from real-time sensors was used to create and evaluate this suggested deep learning-based stroke illness statistical method. Several deep-learning systems (CNN-LSTM, LSTM, and CNN-Bidirectional LSTM) that specialize in time series analysis prediction and classification were analyzed and compared. These findings show that noninvasive technologies that can simply measure brainwave activity by itself can forecast and track stroke illnesses in real-time throughout ordinary life are feasible. When compared with the previous measuring approaches, these findings are predicted to lead to considerable improvements in early stroke diagnosis at a lower cost and with less inconvenience.
Gene Polymorphisms Associated with Central Precocious Puberty and Hormone Levels in Chinese Girls
Authors: Li Yunwei , Tao Na , Chen Minghui , Chu Jiang , Huang Xinwei , Kong Xiangyang
Published: August 2022

Central precocious puberty (CPP) is associated with adverse health outcomes in females; however, CPP pathogenesis remains unclear. In this study, we investigated the association of 20 single nucleotide polymorphisms (SNPs) in eight genes with CPP risk and hormone levels. A case-control study on 247 and 243 girls with and without CPP, respectively, was conducted at Kunming Children’s Hospital, China, from September 2019 to August 2020. The genotype of the SNPs and their haplotypes were identified. Additionally, the effects of the polymorphisms on hormone levels were investigated. Three variants (rs10159082, rs7538038, and rs5780218) in KISS1 and two variants (rs7895833 and rs3758391) in SIRT1 were related to an increased CPP risk (odds ratio (OR) = 1.524, 1.507, 1.409, 1.348, and 1.737; 95% confidence interval (CI) = 1.176–1.974, 1.152–1.970, 1.089–1.824, 1.023–1.777, and 1.242–2.430, respectively). Rs3740051in SIRT1 and rs1544410 in VDR reduced CPP risk (OR = 0.689, 0.464; 95% CI, 0.511–0.928, 0.232–0.925, respectively). Rs1544410, rs7975232, and rs731236 in VDR were negatively correlated with peak follicle-stimulating hormone (FSH; β = −2.181;

P
=
0.045

), basal FSH (β = −0.391;

P
=
0.010

), and insulin-like growth factor (β = −50.360;

P
=
0.041

) levels, respectively. KISS1, SIRT1, and VDR variants were associated with CPP susceptibility, and VDR SNPs influenced hormonal levels in Chinese females with CPP. In particular, VDR polymorphism rs1544410 was associated with both CPP risk and GnRH-stimulated peak FSH levels. Further functional research and large-scale genetic studies of these loci and genes are required to confirm our findings.
Identification of the Exercise and Time Effects on Human Skeletal Muscle through Bioinformatics Methods
Authors: Feng Mufang , Ji Jie , Li Xiaoliu , Ye Xinming
Published: August 2022

Background. The human body has more than 600 kinds of skeletal muscles, which accounts for about 40% of the whole weight. Most skeletal muscles can make bones move, and their strength and endurance directly affect their performance during exercise. Methods. To determine the effects of exercise and time on human skeletal muscle, we downloaded the microarray expression profile of GSE1832 and analyzed it to select differentially expressed genes (DEGs). Then, a protein-protein interaction (PPI) network was established, and the hub genes were identified. Afterwards, DEGs were applied to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Finally, with the help of Gene Set Enrichment Analysis (GSEA), the gene sets in the 7 samples were enriched in the KEGG pathway. Results. Through a series of bioinformatics analyses, we obtained a total of 271 DEGs. After that, four hub genes were determined through the PPI network, namely, EP300, STAT1, CDKN1A, and RAC2. In addition, we got that these DEGs were enriched in GO, such as regulation of cell population proliferation, cellular water homeostasis, and so on, and in KEGG, namely, hepatitis B, Epstein–Barr virus infection, small cell lung cancer, pathways in cancer, and others. Finally, the gene set in the samples obtained by GSEA was enriched in the cell cycle, chemokine signaling pathway, DNA replication, cytokine receptor interaction, ECM receptor interaction, and focal adhesion in KEGG. Conclusion. The findings obtained in this study will provide new clues for elucidating the mechanism of exercise and time on human skeletal muscles.
Bias and Motivation of Energy Monitoring during Exercise under Scientometric Perspective
Authors: Chen Gang , Su Yuqing , Asif Shah Mohd
Published: August 2022

The thermodynamics is of great value for better practical applications of Internet of Things (IoT). With the development of IoT, Wearable Energy Harvester can provide more abundant measurement methods for human engineering and human heat. However, how close the relationship is between traditional individual thermal measurement and emerging technologies remains a topic that has not been paid attention to. Therefore, this paper first sorts and summarizes the literature of human calorimetry and then shows the cross field of Wearable Energy Harvester and traditional research using graph theory. Specifically, this paper presents the evolution of the research field in the form of dual-map overlays by characterizing the network structure and measuring the structural transformation of the knowledge network. With Web of Science as the data source and CiteSpace 5.0 software as the tool to make a knowledge graph for quantitative statistics, it is found that the research hotspot of individual energy expenditure is in the physiological field. The starting point of individual thermal energy monitoring technology represented by Wearable Energy Harvester is to aid with human health. However, as time progresses, although the development of this field still focuses on the fields of chemical industry and materials, it has gradually become closely related to multiple disciplines such as the monitoring of thermal energy during high-intensity sports training.
Application of Composite Nanomaterials in the Teaching of Piano Touch Technology and Timbre Expressiveness
Authors: Li Ying
Published: August 2022

The piano is a western musical instrument. The art of piano performance has made great progress in China. Education is essential for the inheritance and development of the arts, including the piano. Piano lessons play an important role in music education and are the foundation of music education. Teachers play a leading role in the learning process. The comprehensive quality of teachers, including ideological and moral accomplishment, cultural accomplishment, work level, teaching theory, and artistic aesthetic level, directly or indirectly affects the teaching level and the growth, learning, attitude, and concept of students. Through the research and experiment on the application of composite nanomaterials in the teaching of piano touch and timbre expressiveness, the experimental data showed that after the improvement of piano touch and timbre performance by nanomaterials, the students’ interest in the piano improvisational accompaniment course has greatly increased. There were 86 people who were interested, accounting for 86.13%. There were 13 people who were not interested and indifferent, accounting for 13.87%. Compared with the increase of 36 people who were interested before the improvement, the number of people, who were not interested and indifferent, was decreased by 36 people. From the abovementioned data, it can be seen that the application of nanomaterials in piano teaching, it has made an indispensable contribution to the development of piano teaching.
Direct Oral Anticoagulants Versus Warfarin in Patients With Atrial Fibrillation and Valve Replacement or Repair
Authors: Mentias Amgad , Saad Marwan , Michael Madonna , Nakhla Shady , Menon Venu , Harb Serge , Chaudhury Pulkit , Johnston Douglas , Saliba Walid , Wazni Oussama , Svensson Lars , Desai Milind Y. , Kapadia Samir
Published: August 2022

Background

We sought to examine outcomes of direct oral anticoagulants (DOACs) versus warfarin in atrial fibrillation with valve repair/replacement.

Methods and Results

Two atrial fibrillation cohorts from Medicare were identified from 2015 to 2019. They comprised patients who underwent surgical or transcatheter mitral valve repair (MV repair cohort) and surgical aortic or mitral bioprosthetic or transcatheter aortic valve replacement (bioprosthetic cohort). Each cohort was divided into warfarin and DOACs (apixaban, rivaroxaban, and dabigatran) groups. Study outcomes included mortality, stroke, and major bleeding. Inverse probability weighting was used for adjustment between the 2 groups in each cohort. The MV repair cohort included 1178 patients. After a median of 468 days, DOACs were associated with lower risk of mortality (hazard ratio [HR], 0.67 [95% CI, 0.55–0.82],
P
<0.001), ischemic stroke (HR, 0.72 [95% CI, 0.52–1.00],
P
=0.05) and bleeding (HR, 0.79 [95% CI, 0.63–0.99],
P
=0.04) compared with warfarin. The bioprosthetic cohort included 8089 patients. After a median follow‐up of 413 days, DOACs were associated with similar risk of mortality (adjusted HR, 0.93 [95% CI, 0.86–1.01],
P
=0.08), higher risk of ischemic stroke (adjusted HR, 1.27 [95% CI, 1.13–1.43],
P
<0.001), and lower risk of bleeding (adjusted HR, 0.86 [95% CI, 0.80–0.93],
P
<0.001) compared with warfarin.

Conclusions

In patients with atrial fibrillation, DOACs are associated with similar mortality, lower bleeding, but higher stroke with bioprosthetic valve replacement and lower risk of all 3 outcomes with MV repair compared with warfarin.
How Did Taiwan Go from ‘Most Affected’ during sars to ‘Least Affected’ during covid-19?
Authors: Loduhova Alzbeta , Kironska Kristina
Published: August 2022

Taiwan was one of the places most affected by sars in 2003—but one of the least affected by covid-19 in the first year of the pandemic. Taiwan deployed a centralised approach and has been able to effectively eliminate the threat of the spread of covid-19 through swift decisions and effective action. This paper compares and evaluates the Taiwanese government’s emergency responses to two health crises: sars in 2003 and covid-19 in 2020. The policy responses to both are mapped out on easily comprehensible timelines. The study also explores how one crisis governance influences another—how the mishandling of the sars outbreak influenced early governmental responses to covid-19. These are described in more detail, divided into thematic sections, and accompanied by illustrative images.
Palliative psychiatry in a narrow and in a broad sense: A concept clarification
Authors: Westermair Anna L , Buchman Daniel Z , Levitt Sarah , Perrar Klaus M , Trachsel Manuel
Published: August 2022

Even with optimal treatment, some persons with severe and persistent mental illness do not achieve a level of mental health, psychosocial functioning and quality of life that is acceptable to them. With each unsuccessful treatment attempt, the probability of achieving symptom reduction declines while the probability of somatic and psychological side effects increases. This worsening benefit–harm ratio of treatment aiming at symptom reduction has motivated calls for implementing palliative approaches to care into psychiatry (palliative psychiatry). Palliative psychiatry accepts that some cases of severe and persistent mental illness can be irremediable and calls for a careful evaluation of goals of care in these cases. It aims at reducing harm, relieving suffering and thus improving quality of life directly, working around irremediable psychiatric symptoms. In a narrow sense, this refers to patients likely to die of their severe and persistent mental illness soon, but palliative psychiatry in a broad sense is not limited to end-of-life care. It can – and often should – be integrated with curative and rehabilitative approaches, as is the gold standard in somatic medicine. Palliative psychiatry constitutes a valuable addition to established non-curative approaches such as rehabilitative psychiatry (which focuses on psychosocial functioning instead of quality of life) and personal recovery (a journey that persons living with severe and persistent mental illness may undertake, not necessarily accompanied by mental health care professionals). Although the implementation of palliative psychiatry is met with several challenges such as difficulties regarding decision-making capacity and prognostication in severe and persistent mental illness, it is a promising new approach in caring for persons with severe and persistent mental illness, regardless of whether they are at the end of life.
(Small) Farmer Livelihoods under Liberalised Agricultural Market Environment in India: Can Farmer Producer Companies be an Alternative?
Authors: Singh Sukhpal
Published: August 2022

This article examines the rationale and experience of Farmer Producer Companies (FPCs) in the context of their promotion and public funding on a large scale. Simultaneously, corporate players have been provided a larger and free space under the APLM and CF&S Acts of 2017 and 2018, respectively. At the state level, the agricultural market reforms started with the model APMC Act of 2003, and the Producer Companies Act was passed in 2002. India is the second Asian country after Sri Lanka (where they mostly failed) to try this hybrid form of producer organisation. Based on empirical evidence from across states, the article assesses their (FPCs’) physical and financial performance and impact and examines their market interface to improve farmer incomes by creating a producer agency. It dwells on their experiences with corporate players/buyers and their own efforts to create alternative market mechanisms to connect small farmers effectively with modern mainstream or alternative markets.
Rise and Fall of the Bharatiya Kisan Union: The Farmers’ Protests of 2020–2021 in the Making of New Rural Politics
Authors: Kumar Satendra
Published: August 2022

In the 1980s, India's farmers' protests including the Bhartiya Kisan Union (BKU) emerged as a strong political force that played an important role in the overthrow of the Congress government in the1989 elections. However, in the 1990s introduction of the neoliberal economic policies shifted the agrarian economy to non-farm occupations and deepened the ongoing agrarian crisis. By focusing on the BKU and its politics, this paper examines the ways in which agrarian change and crisis coupled with the rise of Hindutva politics weakened the agrarian polity in western Uttar Pradesh over the last three decades. Drawing on ethnographic research in Muzaffarnagar, however, I argue that the farmers' protests (of 2020 -2021) have revived farmers' identity and have renewed the agrarian polity. These protests not only created unprecedented alliances across caste, class, gender, and religion but also brought together farm unions, left, and progressive civil society organizations.
Professional Development Leadership in Public Organizations: A Refined Conceptualization
Authors: Lund Clara Siboni
Published: August 2022

Professional development leadership (PDL) can potentially align organizational goals and professional norms, thereby increasing the performance of professional employees in public organizations. Public management research has largely overlooked this type of leadership behavior, however, which may be due to the fact that it remains conceptually under-developed. This article presents a refined conceptualization of PDL based on theorizing and the abductive analysis of 31 interviews with managers and professionals in public organizations. The ambition of PDL is to facilitate a shared understanding of professional quality within the scope of organizational goals and to influence others to realize this understanding in practice. Core behaviors are attempts to create alignment between organizational goals and professional norms, to develop professional knowledge, and to activate professional knowledge and norms in practice. The conceptualization comprises a steppingstone for systematic research on PDL, and public managers may find inspiration as to how they can address professional norms and knowledge in their leadership practice.
Virtual Balint Groups During COVID-19: Exploring Race and Equity in a CHC-Based Family Medicine Residency Program
Authors: De La Rosa Kathryn , Somers Jennifer , Valdini Anthony
Published: August 2022

The Lawrence Family Medicine residency was created in the 1990s as the first community health center- sponsored residency with the goal of reducing health disparities. Balint groups have been a part of the wellbeing and behavioral health curriculum for many years. The population of Lawrence, MA is primarily a resource-poor, Latinx, immigrant population. In March of 2020, the Covid pandemic highlighted health disparities in this community. The spike in cases in 2020 also impacted the residency community with overwhelming needs of sick and dying patients in newly created, resident and faculty-run Covid units. Our early ignorance about transmission, prophylaxis, treatment and even prognosis made the work incredibly difficult. George Floyd’s murder added the additional stress of social unrest in response to a persistent pattern of racism and unequal justice. To help process trauma residents felt working in terrifying conditions, often in medically futile situations with patients who spent their last hours without family at the bedside, we turned to biweekly Balint groups and added additional resident support sessions on the off weeks. Residents seamlessly adopted videoconferencing as the Balint platform, allowing them to attend a group session without risk of infection. The residents, being a diverse group, were able to offer multiple perspectives and process the traumatic issues of disproportionate suffering for their patients, uncertainty and frustration of the COVID-19 pandemic and systemic racism. We found a video Balint group permitted residents to explore their divergent experiences and feelings and offer support to each other in a very uncertain time.
Decreased Postural Sway in Women Who Are Visually Impaired: Is it a Learned Protective Mechanism?
Authors: Rashid Muhammed , Siby Sherin , P. H. Sandeep , Joy Anoop , Gopi Arun , Mathew Jerin , Raja Kavitha
Published: August 2022

Introduction: Comparison of sway parameters of visually impaired participants to that of the sighted population may give insight into the intrinsic risk of falls relative to the surface. Sway is a natural mechanism to adjust the posture and maintain balance. But the sway characteristics on uneven surfaces are ill explored. There is a paucity of evidence on baseline values of sway amplitude in visually impaired women in comparison to sighted women, which underpins the importance of this study. Methods: Eighteen visually impaired young women and an equal number of age-matched sighted peers were recruited by convenience to this prospective observational study. Sway amplitude of the participants were measured using a sway meter on three different surfaces, with eyes opened and closed conditions, using videography and analyzed using Kinovea motion analyzing software. Demographics and participant characteristics were summarized using descriptive statistics. The comparison were performed using independent sample t-test. Results: Visually impaired women demonstrated lower amplitude of sway than sighted young women, irrespective of the surface. Discussion: There was a gradual increase in sway amplitude as the standing surfaces changed from even to sand and pebbles, respectively, for both groups. Implications for Practitioners: Contrary to the existing evidence, the results of this study indicate that visually impaired young individuals may not be not at higher intrinsic risk of falls on various terrains than their sighted peers. The authors hypothesize that the lower sway among visually impaired participants can be attributed to the learned strategy for safety from exposure to real-life pragmatic environments during everyday activities, which enabled them to adopt postural strategies as a safety measure. Hence, this strategy can potentially be used in dynamic situations to decrease the propensity for falls during ambulation in visually impaired individuals.