bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transformation of multi-source results to the front line of experimental teaching
Authors: Cong Jianchao , Xu Shengnan , Wang Hui , Li Ke , Liu Jun , Wan Jing , Wang Jingwei , Liu Yanhong , Wu Junzhu 
Published: September 2022

Abstract
Background
Multiple sources such as university students' research and innovation projects, some of the teachers' research projects suitable for teaching practice, existing teaching experiments and literature, etc. Integrating the experimental results of morphology, functional and molecular biology and other disciplines into further experimental teaching mode can better integrate basic experimental skills with clinical development, meet the development needs of students and solve the problem of insufficient comprehensive basic teaching experiments, etc. It will further strengthen students' comprehensive application ability, overall thinking ability, practical hands-on ability, and analytical and adaptive ability.
Methods
A questionnaire on "Evaluation of existing basic medicine integrated experiments" was distributed to faculty members and undergraduate students in the School of Basic Medicine. Based on the results of the questionnaire, we propose to use multi-source projects as the original resources for the design of integrated experiments, design innovative integrated experiments covering multiple disciplines and meeting the needs of teaching and development of undergraduates by undergraduate volunteers in open laboratories, and evaluate the feasibility of the results of multi-source to the front line of experimental teaching through the evaluation form.
Results
Through feasibility assessment, the comprehensive experiments of basic medicine designed based on multi-source results have the characteristics of high comprehensiveness and feasibility, which can be transformed to the front line of experimental teaching.
Conclusions
Through this model, the aim is to achieve comprehensive integration of basic medical laboratory courses, to keep the laboratory courses abreast of cutting-edge achievements in the field, and to cultivate students' interest in and thinking about scientific research.
Partial Mesorectal Excision Can Be a Primary Option for Middle Rectal Cancer: A Propensity-score Matched Retrospective Analysis
Authors: Kim Ee Jin , Kim Chan Wook , Lee Jong Lyul , Yoon Yong Sik , Lim Seok-Byung , Park In Ja , Yu Chang Sik , Kim Jin Cheon 
Published: September 2022

Abstract

Backgrounds
Although partial or total mesorectal excision (PME and TME) is primarily indicated for the upper and lower rectal cancer, respectively, few studies have evaluated whether partial or total mesorectal excision (PME or TME) is more optimal for middle rectal cancer.
Methods
This study included 671 patients with middle/upper rectal cancer who underwent robot-assisted PME or TME. The two groups were optimized by propensity-score matching of sex, age, clinical stage, tumor location, and neoadjuvant treatment.
Results
Complete mesorectal excision was achieved in 617 (92%) of 671 patients, without showing difference between the PME and TME groups. Local (5.3% vs 4.3%, p = 1) and systemic (8.5% vs 16%, p = 0.181) recurrence rates also did not differ between the two groups, respectively, in patients with middle/upper rectal cancer. A comparison of the PME and TME groups with middle rectal cancer showed no significant differences in 5-year DFS (81.4% vs 74%, p = 0.537) and OS (88% vs 81.1%, p = 0.847) rates. Moreover, 5-year recurrence and survival rates were not affected by distal resection margins of 2–4 cm (p = 0.112–1), regardless of pathological stages. Postoperative complication rate was higher in the TME than in the PME group (21.4% vs 14.5%, p = 0.027). Incontinence was independently associated with TME (odds ratio [OR] = 2.009; 95% confidence interval = 1.015–3.975; p = 0.045), along with older age (OR = 4.366) and prolonged operation time (OR = 2.196) (p < 0.001–0.5).
Conclusions
PME can be primarily recommended for patients with middle rectal cancer with lower margin > 5 cm from the anal verge.
Secure Transmission with Different Security Requirements Based on Covert Communication and Information-Theoretic Security in Presence of Friendly Jammer
Authors: Baee Pooya , Khodadad Farid Samsami , Forouzesh Moslem 
Published: September 2022

Abstract
In this paper, we investigate joint information-theoretic security andcovert communication on a network in the presence of a single transmit-ter (Alice), a friendly jammer, a single untrusted user, two legitimateusers, and a single warden (Willie). In the considered network, one of theauthorized users, Bob, needs a secure communication, and therefore hismessage must be sent securely, and at the same time, the other autho-rized user, Carol, needs covert communication, i.e., the existence of hiscommunication with the transmitter should not be detected by the war-den, Willie. In the proposed network model, it is assumed that for covertcommunication requirements, Alice will use an on-off strategy to sendthe data to the legitimate receivers of the network, so that it decides onthe sending of data at any specific time slot. One of the main challengesin covert communication is low data rate because we have to reduce thetransmission power such that the main message gets to hide in back-ground noise. In the proposed network, a jammer is employed to destroy the eavesdropper and warden’s channel. To eliminate the interferencecreated by the jammer, it has been proposed that the used jammer in thenetwork be friendly. In this study, in addition to using joint security ofinformation theory and covert communication, we examine the averagetransmission rate according to the limitations and requirements of covertcommunication and the requested quality of service by users, by creatingartificial noise in the network which is generated by a friendly jammer.
Earthquake Risk Scenario for Commercial Masonry Infill Buildings in the Auckland Region of New Zealand
Authors: Fikri Rijalul , Gerstenberger Matt , Ingham Jason 
Published: September 2022

Abstract
Following the 2010/2011 Canterbury, New Zealand earthquake sequence, Auckland Council actively identified and assessed commercial buildings within the Auckland region to establish whether they were earthquake-prone. Masonry infill buildings were one class of building type that was considered to be potentially earthquake-prone, with this building type constituting a significant proportion (9%) of all commercial buildings in the Auckland region. Despite the Auckland region being categorised as a low seismicity region in the current New Zealand seismic loadings standard, rupture of the Wairoa North fault located within the Auckland region could potentially generate significant earthquake shaking in the future. The reported study was undertaken to forecast the damage distribution for low-rise and mid-rise masonry infill buildings when subjected to ground motions from the Wairoa North fault that incorporated a combined mainshock-aftershock earthquake sequence. The results showed that mid-rise masonry infill buildings were forecast to exhibit significant damage when compared to low-rise masonry infill buildings. In addition, the seismic risk associated with mid-rise masonry infill buildings buildings was forecast to significantly increase when aftershock earthquake scenarios were applied. It is noted that the increased seismic risk of mid-rise masonry infill buildings (when compared to their low-rise equivalent) was unsurprising because post-earthquake observation following the Canterbury earthquake sequence showed that mid-rise masonry infill buildings sustained higher levels of damage in comparison to low-rise masonry infill buildings.
The effects of pro-, pre- and synbiotics supplementation on polycystic ovary syndrome: an umbrella review of meta-analyses of randomized controlled trials
Authors: Talebi Sepide , Zeraattalab-Motlagh Sheida , Payandeh Nastaran , Jalilpiran Yahya , Ansari Shakila , Mohammadi Hamed , Djafarian Kurosh , Ranjbar Mahsa , Sadeghi Sara , Taghizadeh Mahdiyeh , Shab-Bidar Sakineh 
Published: September 2022

Abstract
Background
Numerous meta-analyses of randomized clinical trials have proven that pro, pre- and synbiotics supplementation have numerous health outcomes in women with polycystic ovary syndrome (PCOS). However, the strength and quality of this evidence in aggregate not yet been synthesized in great detail.
Methods
PubMed, Scopus, Web of Sciences, and Google Scholar were searched up to August 2022. We pooled the mean difference and its 95% confidence interval (CI) by applying a random-effects model.
Results
Overall, eight meta-analyses including a total of 12 trials were identified. The results of the present study indicated that probiotic supplementation significantly reduced the homeostatic model assessment for insulin resistance (HOMA-IR) (WMD: -0.29, 95% CI: -0.57 to -0.02, P = 0.03, n = 4; moderate certainty) and fasting glucose concentration (WMD: -7.5 mg/dl, 95% CI: -13.60 to -0.51, P = 0.03; n = 4; low certainty). Moreover, synbiotic supplementation had beneficial effects on glycemic control, lipid profile, and hormonal parameters, but the certainty of the evidence was rated as low to very low. However, supplementation with pro-/synbiotics did not affect inflammation and oxidative stress in women with PCOS. Furthermore, waist/hip circumference, fasting glucose concentration, lipid profile, dehydroepiandrosterone sulfate, high-sensitivity C-reactive protein, and hirsutism score were significantly reduced after prebiotics supplementation with low certainty of evidence.
Conclusions
Although pro-, pre- and synbiotics supplementation had beneficial effects on some PCOS-related outcomes, the certainty of the evidence was rated as low to very low. Therefore, further well-designed RCTs might help to confirm our findings in women with PCOS.
Intra and Inter Body Area Network Communication System for Out- of-hospital Nursing of Pcos Patients by Coupling Medical Big Data Mining With Cloud
Authors: Saravanabhavan C. , Preethi P. , Anguraju K. , Ashok P. 
Published: September 2022

Abstract

Hospital admissions, readmissions, and other cost of healthcare are significantly impacted by the growing number of patients with chronic conditions and the accumulation of healthcare resources. The hormonal imbalance PCOS produced in women in their reproductive years also contributes to a number of chronic ailments, including irregular periods, excessive weight gain, acne, and the growth of facial hair etc. A delayed or missing menstrual cycle brought on by the hormonal imbalance results in infertility. The current approaches and therapies are insufficient for earlier stage diagnosis, especially from their home-centric environment. Till date, no technology has been able to independently identify the presence of PCOS in the ovaries which eventually affects fallopian tube and alert the patient, consulting doctor, or nurse so that the next course of action can be started as soon as possible. Hence, to solve the aforementioned issues, the proposed research processes the information gathered from PCOS patients using a cloud computing platform integrated with medical big data mining and machine learning (ML) algorithms. In this study, a conceptual design is proposed from the perspective of communications engineering. In order to detect Fallopian Tube (FT) activity, the architecture combines an intra-body-based nano-sensor with a body-area network. This network receives data from the intra-body networking and transmits it across the air to the relevant personnel (doctor, nurse, patients). The relationship between feasible information rates, and other key metrics has been investigated through preliminary simulations utilising a particle oriented stochastic simulator. Data from sensor are utilised by the Apache Kafka acts as ingestion tool, then given into cloud service computing architecture wherein Advanced Apriori (AA) algorithm is applied over the data to detect characteristics featuring with strong correlations between them before undergoing CatBoost Decision Tree model for optimised prediction of PCOS. The comparison analysis demonstrates notable results in terms of scalability and computation times with an ideal accuracy range.
Analysis of the fracture line distribution of distal radius fractures
Authors: Zhang Xin , Xie Pinliang , Shao Weirong , Xu Ming , Yin Yong , Fan Jian , Zhang Yingqi 
Published: September 2022

Abstract
Objective To study the general distribution of fracture lines in distal radius fractures (DRFs).
Methods Computed tomography scans from 50 patients with DRFs were included in this study. The DICOM data of all patients were analyzed using Mimics 20.0 software, and the bone blocks were marked with different colors after the surrounding related bones were removed. After reduction of the fracture, 3-matic software was used to plot 50 fracture lines on the same standardized bone structure of the distal radius. Finally, a heat map was developed based on the frequency of the fracture lines.
Results Although the fracture lines varied widely in DRFs, most fracture lines were regularly distributed. In the metaphyseal region of the distal radius, the width of the ring was 4.52 mm, and the ring was located in the region of primary epiphyseal cartilage development below the watershed. Fractures below the annular band were occasional. The distribution of volar fracture lines above the annular band was significantly less than that of dorsal fracture lines, which was more concentrated in the area around the Lister tubercle and more involved in the distal radioulnar joint.
Conclusion The fracture lines were regularly distributed in the distal radius with a ring-shaped high-incidence zone.
Investigation of potential tea polyphenols against SARS-CoV-2 targets: A Computational approach
Authors: Vinayagan Nadana , Singh Gurmeet 
Published: September 2022

AbstractThe global pandemic of COVID-19 caused by SARS-CoV-2 (also known as 2019-nCoV and HCoV-19) has affected many countries worldwide. Emerging strains of SARS-CoV-2 exhibit dynamic genomic and structural patterns gradually, where the development of a suitable vaccine has become more challenging. Identification of novel compounds that control the viral replication and viral prophylaxis mechanism would be a potential option to stop the spread of infection. Tea, a common beverage in Asia, possessing an abundance of anti-oxidative properties, is used commonly in households. Polyphenols from tea are known to be beneficial in several functional aspects of health. In the present study, using high throughput computational integrative approaches, we understand the application of lead polyphenols from tea against five known viral targets of SARS-CoV-2. From the phylogenetic analysis of the viral targets, whole-genome sequences of SARS-CoV-2 shared the highest nucleotide similarity (> 90%) with 8 other beta SARS viruses, including SARS-CoV-2 recent strains, SARS-CoV and MERS-CoV. The ADMET evaluation of the tea compounds showed favorable drug-likeness, and pharmacokinetics properties, with less toxicity profiles. Finally, the molecular docking indicated grazoprevir may represent as a potential treatment option, and strictinin, epigallocatechin 3,3',-di-o-gallate, epicatechin 3,5-di-o-gallate, gallocatechin 3'-o-gallate, epitheaflagallin, theaflavin-3-gallate, epitheaflagallin 3-o-gallate, rutin and tannic acid could potentially inhibiting to the SARS-CoV-2 targets by possessing significant binding affinities (− 12.6 to − 5.1 kcal/mol). Thus, these potent tea compounds effectively interrupt the viral replication cycle and may reduce or eradicate the expeditious outspreading of SARS-CoV-2.
ICA69 deficiency exacerbates the inflammation on liver injury associated with distinct alteration in the gut microbiota
Authors: 项 伟玲 , Hao Ke , Tao Fei , Xu Weide , Chen Bingyu , Cheng JingJing , Zhang Wei , Wang Dan , Wang Zhen , Du Yaoqiang , Li Kaiqiang , Lyu Jianxin , Jin Liqin 
Published: September 2022

Abstract
Hepatitis is a major problem around the worlds, which is characterized by hepatic inflammation and intestinal gut microbiome imbalance. Our previous study has been provided that Islet-cell autoantigen 69(Ica69) plays a central role in liver injury and found that both Ica69 mRNA and protein are significantly upregulated in mouse hepatocytes at the early stage of liver regeneration. In this study, we found that Ica69-deficient mice have more severe liver injury than wild-type mice (WT) by intraperitoneal injection of D-galactosamine (D-GalN) combined with lipopolysaccharide (LPS)(DL injection). Analysis of serum biochemical indexes and histology revealed an increment in hepatic inflammation in the Ica69-deficient group. And we also found that Ica69 deficiency exacerbated the gut microbiome imbalance, including the reduction of probiotics, Lactobacilli, Bifidobacteria and Bacteroides, and the increment of conditional pathogens, Proteobacteria,in the intestine.Mechanistically,Ica69 deficiency upregulated the expression of inflammation-related (IL-17 and IL-22) genes expression and toll-like receptor 4(TLR4)/tumor necrosis factor (TNF-a ) pathway. We conclude that Ica69 mediates liver inflammation and the intestinal microbial disorder caused by D-GalN combined with LPS induced acute liver injury, indicating that Ica69 in protection against immune-associated liver injury and providing a theoretical foundation for treating liver disease.
A comparison of depression, anxiety and related factors in Chinese First-born and Second-born children
Authors: Yuan QinMei , Yang Shichang , Yang Huan , Cao YuPing , Morgan Timothy 
Published: September 2022

Abstract
Background
The status of depression, anxiety and related factors in Chinese firstborn and second-born children have hitherto not been examined and remains unknown. With the changing of China’s fertility policy, it is of greater significance to know about children’s health growth.
Methods
A convenience sampling and cross-sectional survey method was used. Data was collected from school-based sample in one middle and one primary school located in Xinxiang City, Henan province in China during the period February 18th to March 22nd 2019. There was a total of 653 first-born and 772 second-born children in the surveyed data pool. Depression self-rating scale for children (DSRSC), Screen for Child Anxiety Related Emotional Disorders (SCARED), Perceived parental rearing patterns scale, Chinese Screen Questionnaire of Child Abuse were used.
Results
Second-born child was in higher risk to suffer from anxiety when compared with first-born child(P < 0.05). The depression score of female was significantly higher compared to males in the second-born child (P < 0.05). The anxiety score of female was significantly higher compared to males in both the firstborn and second-born children (Ps < 0.05 − 0.01), while the anxiety score of female was significantly higher in the second-born compared to whom in firstborn child (P < 0.05). People who with elder female siblings were of lower depression and anxiety scores than other with male siblings(Ps < 0.05 − 0.01). Age gap was weakly negatively correlated with the depression scores of the first-born children(P < 0.05). The mean scores of severe punishment, excessive interference and overprotection from father were higher in males in both firstborn and second-born children (Ps < 0.001), rejection/denial in firstborn from father were higher in males in second-born child. The mean scores of over interference and over protection from mother were also higher in males in both firstborn and second-born children (Ps < 0.05 − 0.001).
Conclusions
The second-born children are more likely to suffer from depression and anxiety, especially in female. The related factors including the age gap, the gender of elder siblings, the parenting styles and the child abuse. It suggested that under China’s fertility policy, more energy needs to be devoted to maintaining children's mental health.
A smart hybrid content defined chunking algorithm for data deduplication in cloud storage
Authors: E Manogar , S Abirami 
Published: September 2022

Abstract
The enormous growth of data requires a large amount of storage space in the cloud server, which occupies mostly by the redundant data. The deduplication technique avoids redundancy to utilize cloud storage effectively. Chunking is the process to break the data into chunks, determine duplicates. Many algorithms exist, to handle the deduplication efficiency, reducing the chunk variance, and improving the computational overhead continues to be a challenging task. To solve the above challenge, we propose a Smart Chunker (SC) algorithm, which operates with hybrid chunking based on file size as File Level and Content Defined Chunking (CDC). File-level Chunking is assigned only for less than 2KB file size, and the exceeding file size falls with CDC. We aim Optimus Prime Chunking (OPC) in CDC to break the chunks with prime numbers and involves a minimum number of comparisons with fewer conditions and low computation overhead. This work reduces the processing time without hash and window for computation. Thus, it provides a constant average chunk size to distribute the equal chunk variance in the cloud storage with a 17% reduction in chunk time. Our OPC result attains high throughput of more than 3.3x, compared to other CDC algorithms.
Sustainable ordering policies with capacity constraint under order-size dependent trade credit, all-units discount, carbon emission and partial backordering
Authors: Mahato Chandan , Mahata Gour Chandra 
Published: September 2022

Abstract
In today's competitive business situation, the supplier frequently offers his or her retailers a permissible delay period to stimulate sales. In addition, the capacity of any warehouse is limited in practice, thus the retailer needs an additional rented warehouse to store the excess units when the order quantity exceeds the capacity of the own warehouse. Furthermore, with the globalization of the marketing policy, the supplier may provide the retailer a discounted price if the quantity of purchase is large enough. Green inventory management reduces the environmental impacts of a business without lacking its profit. Considering all of the factors mentioned above, in this paper we study a green economic order quantity model with capacity constraint under order-size dependent trade credit and all-units discount along with minimizing carbon for a cleaner environment. The paper discusses all the potential cases, which may occur in green inventory models with carbon emission cost under different allowable delay-in-payments. Shortages are allowed and partially backordered. The major objective is to determine the sustainable optimal ordering strategies for retailers, and whether the retailer needs an additional rented warehouse such that the retailer’s annual profit is maximized. First, we prove that the conditions of the objective functions have interior minimizer value and the closed-form optimal solution is found. Next, an algorithm is developed to determining the global optimal solution of the problem. Finally, some numerical examples are presented to illustrate theoretical results. Sensitivity analysis of the major parameters is performed and some insights are obtained.