bluuebunny/crossref_metadata_2025_split huggingface dataset:
Risk factors associated with a history of falls among older people in Palestine
Authors: Al-kharaz lubna , Zaid Raghad , saify rawan , Shafai Deema , Dardouk Anwar , qarin Rania Abu , Swailem Shaima’ 
Published: May 2022

Abstract
Objective
Falling is one of the most important risks that worry the elderly, which may lead to fractures and other complications that may take their lives. A relationship was found between falls and several factors and variables that contribute to their occurrence, including age, gender, medical history, psychological state, and others. The study was conducted on elderly people aged 60 and above who are the most vulnerable group to falls. The study is to test whether there is a relationship between the factors that have been raised, which factors are related to the fall, and which are not, and what is the nature of the association.
Methods
200 random samples were taken from the elderly to fill out a questionnaire and correlate it with the risk of falling, taken inside International Physical Activity (IPAQ), Falls Efficacy Scale International (FES-I), Mini Nutritional Assessment (MNA), Activities of Daily Living (ADLs) & Instrumental Activities of Daily Living (IADLs), Medical history, Habits and lifestyle, Geriatric depression scale. Then the statistical program SPSS was used to analyze the results of the questionnaires.
Result
A total of 200 participants were included in the study. The mean age was 69.04 (SD7.64) years, range58-96. The p-value is (p > 0.05) so the falling risk in the elderly was significantly associated with gender, age, educational level, work status, medical history, physical activity, malnutrition, independence, instrumental activities of daily living, and depression.
Conclusion
This study indicates that there is a large proportion of risks and symptoms that contribute to the occurrence of the elderly Palestinians, the most important of which are depression (psychological status), nutritional status, age, and medical history in addition to daily activities.
The effectiveness of peer support from a person with lived experience of mental health challenges for young people with anxiety and depression: A systematic review
Authors: Simmons Magenta Bender , Cartner Sharla , MacDonald Roxxanne , Whitson Sarah , Bailey Alan , Brown Ellie 
Published: May 2022

Abstract
Background: Peer support has become increasingly popular in adult mental health services to complement existing care provided by clinicians with formal training. The same is now happening to support young people with anxiety and depression but it is unclear what the evidence base of peer support in this population is.Methods: A systematic search was conducted with the Orygen Evidence Finder database, Embase, MEDLINE, and PsycInfo from January 1980 to July 2021. Controlled trials of interventions aimed to educate or treat young people (mean age between 14-24) to improve their mental health, which were delivered by a peer worker with lived experienced of mental health challenges were included. Outcomes related to depression or anxiety were extracted. Study quality was rated using the Critical Appraisal Skills Programme.Results: Eight randomised controlled trials with 1,885 participants were included, with six undertaken in high income countries. One targeted depression and anxiety, another targeted stigma-distress in youth mental illness, one aimed at first episode psychosis, four studies for preventing eating disorders and one aimed at drug misuse. One study successfully reduced anxiety and depression, another reduced depression only, four reported reductions in negative affect, with the final two measuring, but not having a significant impact on depression. Study quality was rated as ‘good’ overall.Discussion: Despite the uptake of youth peer support globally, there is limited evidence from controlled trials of the effect of peer support related interventions on anxiety and depression. Further rigorously designed trials of peer delivered interventions for young people experiencing anxiety and depression need to be conducted with a focus on understanding the mechanisms of action underpinning peer support. In the absence of sufficient evidence, we propose potential mechanisms to guide future research into how peer support is an active ingredient for youth anxiety and depression.
Premenstrual syndrome (PMS) and its associated factors among female college students in China: a cross-sectional study
Authors: Zhou Zhiqing , Tao Xiubin , Liu Huan , Huang Anle , Huang Long , Zhu Ergang , Zhang Wei , Du Shaoling , Zhang Ming 
Published: May 2022

Abstract
OBJECTIVE: The study aimed to determine the prevalence of PMS and its associated factors among female college students in China. METHODS: This cross-sectional study was conducted by administering an online questionnaire to the Wannan Medical College and Tongling Polytechnic, Anhui Province, China. RESULTS: A total of 1668 female college students participated in the study, aged 17–23 years, age at menarche ranged from 9 to 16 years. The prevalence of PMS was 50.7% (846/1668). Anxiety (OR = 2.132, 95% CI = 1.620–2.807), pressure (OR =1.890, 95% CI = 1.512–2.363), smartphone addiction (OR =1.249, 95% CI = 1.009–1.547), and dysmenorrhea (OR =2.676, 95% CI = 2.170–3.301) were the risk factors for SHS, while sleep time was the protective factors for SHS. CONCLUSION: Depending on the findings of present study, we recommend that governments develop policies and guidelines to improve the health and productivity of female college students.
Microbial biomass and enzyme activities determine dynamics of soil organic carbon stocks and fractions along an age-sequence of Mongolian pine plantations
Authors: Zhang Yansong , Zeng De-Hui , Lei Zeyong , Li Xin , Lin Guigang 
Published: May 2022

Abstract
Purpose
Afforestation is increasingly recognized as an effective measure to mitigate elevated atmospheric carbon (C) dioxide and combat climate change. While afforestation can increase C sequestration by biomass production with tree growth, little is known about whether and how tree growth affects soil organic carbon (SOC) stocks and stability. Here, we aimed to explore mechanisms underlying changes in SOC stocks and fractions with stand development from the perspective of tree-microbe-mineral interactions.
Methods
We measured annual litter inputs, soil exchangeable base cations, microbial biomass, hydrolytic and oxidative enzymes, and SOC stocks and fractions along an age-sequence of Mongolian pine (Pinus sylvestris var. mongolica) plantations with six age classes ranging from 15- to 61-year-old and adjacent grasslands in the Keerqin Sandy Lands, Northeast China.
Results
We found that afforestation of grasslands did not significantly affect 0–100 cm SOC stocks. Ecosystem C stocks linearly increased with stand development, and this C accretion was mainly attributed to tree biomass C sequestration. Topsoil (0–10 cm soil layer) mineral-associated C (MAOC) stocks and phenol oxidase activities increased, and particulate organic C (POC) stocks and β-glucosidase activities decreased with increasing stand age, but these changes disappeared in the 61-year-old stand. Structural equation model revealed that topsoil MAOC stocks were directly related to microbial biomass and β-glucosidase and phenol oxidase activities, but not directly to exchangeable calcium concentrations. Moreover, topsoil POC stocks were directly related to β-glucosidase activities, but not directly to annual litter inputs.
Conclusions
Altogether, our findings suggest that soil microbes play a central role in mediating the dynamics of SOC stocks and stability along stand development.
Modified Periprostatic Nerve Block Provides Better Anesthesia in Ultrasound-Guided Transperineal Prostate Biopsy
Authors: Dong Chen , Chen Haitao , Li Jiao , Chuan Zhirui , Wang Yunying , Ouyang Zhi-qiang , Yang Hong yin , Luo Xiaomao , Li Zhiyao , Liao Chengde 
Published: May 2022

Abstract
Background:To determine the efficacy and safety of perineal nerve block (PNB) and modified perineal nerve block (PNB-1) in ultrasound-guided transperineal prostate biopsy(TPBx). Methods:910 patients were enrolled from March 2019 to December 2021. They were divided into two groups based on their anesthesia methods: PNB group (375 patients) and PNB-1 group (535 patients). The pain scores were evaluated using visual analogue scale (VAS) at the start of anesthesia, during puncture biopsy, and one hour after operation.The chi-square test was used for comparison.Result:At the start of anesthesia, there was no significant difference in pain scores between the PNB and PNB-1 groups (P>0.05), but there was a significant difference in pain scores between the two groups at the time of puncture (P<0.05).Among them, the pain score for patients with a larger prostate volume in the PNB group was significantly higher than that for patients with a smaller prostate volume (P<0.05), whereas the pain score for patients with a different prostate volume in the PNB-1 group was not significantly different (P>0.05). Postoperative complications in the PNB-1 group were significantly less than those in the PNB group, and the postoperative urinary tract irritation sign was significantly less than that in the PNB group (P<0.05).Conclusion:PNB-1 was a effective and safe anesthesia method, which could significantly reduce the pain during puncture biopsy, improve the anesthetic effect and provide the basis for puncture biopsy.
Research On the Evaluation Model Construction of Manufacturing Project Management Capability Under the Background of Big Data
Authors: Hao Ruiqing , Ren Qian 
Published: May 2022

Abstract
In order to improve the manufacturing project management ability, from the perspective of project management ability evaluation, this paper analyzes the manufacturing project management ability combined with big data technology, and constructs the project management ability evaluation model. Moreover, this paper designs a manufacturing project management maturity evaluation model based on fuzzy mathematics. In addition, this paper analyzes manufacturing project management and capability maturity evaluation models and related theories of fuzzy mathematics, and focuses on the management process and knowledge system of manufacturing projects. Through simulation research, it can be known that the evaluation model of manufacturing project management capability based on big data technology proposed in this paper has good practical effects. Moreover, the implementation of effective research and development project management can increase the success rate of research and development, reduce waste of resources, improve innovation capabilities, and ultimately enhance the core competitiveness of the enterprise.
Effects of two years of physically active lessons on cognitive indicators in children: A pilot study
Authors: Oliveira David Nunes , Silva Ellen Mendes , Barboza Luciana , Thuany Mabliny , Araújo Raphael , Silva Roberto Jerônimo , Gomes Thayse Natacha , Schmitz Heike , Tejada Julian , Silva Danilo Rodrigues 
Published: May 2022

Abstract
The study was evaluated the effect of physically active lessons (PAL) on cognitive performance (ED) during two years of follow-up in children. Four classes were divided into two intervention classes (IG: n = 34) and two control classes (CG: n = 27). Five evaluations were performed; before the intervention (M1), after three (M2) and nine (M3) months in the first year, and fourteen (M4) and eighteen (M5) months in the second year. The intervention was based on PAL integrated with the curricular components, which stimulated the children to stand or move in the classroom. ED was evaluated using three computerized test for response inhibition, selective attention and cognitive flexibility. The children in the IG presented improved ED in the execution of all task along the two years follow-up, in both correct answers and time reactions, with exception of correct answers of visual search. For IG, in most of the task, the mean differences confidence interval of 95% did not include the 0 on the two last moments of evaluation, and in all cases, the mean differences of the IG between M1 versus M5 were significant different with high values of effect size (cohen -d > 1). PAL promote modest improvements in diverse cognitive functions in children.
Inter-annual and decadal variability on the sea level around the China seas
Authors: Qu Ying , Yue Chao , Guo Anboyu 
Published: May 2022

Abstract
All tide gauge stations around the China seas can be divided into two subregions according to their correlations before and after removing the seasonal cycle, within which the stations generally have very high correlations with each other. Region 1 is located in the Bohai Sea, the Yellow Sea, the East China Sea, and adjacent areas of China, which are in Korea and Japan; Region 2 is located in the South China Sea. EOF decomposition is performed on the tide gauge records within each subregion after removing the vertical land motion and the seasonal cycle, and then do the wavelet coherence analysis between the principal component (PC) time series of each subregion and the Southern Oscillation Index (SOI) as well as the Pacific Decadal Oscillation (PDO) time series. Results show that the first PC time series of Region 1 has no significant coherence with the SOI index on inter-annual timescales, but it proves strong coherence in the 8-to-16-year band; in contrast, the inter-annual variation of the sea level in the Region 2, which is mainly represented by the first mode, is consistent with the change of SOI revealing that the inter-annual variation of sea level in the South China Sea is closely related to ENSO. The wavelet coherence between the first PC time series of Region 1 and PDO index shows that they have strong coherence in the 8-to-16-year band. The wavelet coherence between the first PC time series of Region 2 and PDO index shows strong coherence in the 8-to-16-year band, and during 2000–2016, they also have strong coherence in the 3-to-7-year band.
The current and future potential geographical distribution of Bactericera cockerelli: an invasive pest of increasing global importance
Authors: Suwandharathene Nimali , Holwell Gregory , Avila Gonzalo 
Published: May 2022

Abstract
The invasive pest Bactericera cockerelli, commonly known as tomato potato psyllid (TPP), is native to North America and has recently invaded Australasia. TPP is also the vector of the bacterial plant pathogen Candidatus Liberibacter solanacearum (CLso), which has caused severe economic losses for potato growers worldwide. We estimated the potential global geographical distribution of TPP under current and future climatic scenarios using CLIMEX. In its native range, TPP is predicted to expand its current geographical range in semi-arid, temperate, and continental climates. Globally, the model predicts that several countries in Europe and East Asia are climatically suitable for establishing TPP. Predictions under a future climate change scenario (CSIRO Mk 3.0 for 2090) showed a significant reduction of the geographical range of TPP with a possible expansion towards higher altitudes. However, our model suggested that most regions in Europe and New Zealand will remain unchanged or will become more favourable in the future. The CLIMEX projections for current and future climatic distribution provide valuable information for existing and future biosecurity preparedness and management programmes, which may prove helpful in risk assessments and identifying potential areas that are likely to be susceptible to a TPP invasion.
Neural Tube Defects and Uterus Development in Human Fetuses
Authors: Diniz André L.L. , Vieiralves Rodrigo R. , Sampaio Francisco J.B. , Gallo Carla M. , Favorito Luciano A. 
Published: May 2022

Abstract
Purpose: One of the most common malformations of the central nervous system is related to embryonic neural tube alterations. We hypothesized that anencephaly affects the development of the uterus during the human second trimester of pregnancy. The objective of this study was to study the biometric parameters of the uterus in fetuses with anencephaly and compare them with normocephalic fetuses at that important.Methods: In our study, 34 female fetuses were analyzed, 22 normal and 12 anencephalic, aged between 12 and 22 weeks post-conception (WPC). After dissection of the pelvis and individualization of the genital tract, we evaluated the length and width of the uterus using the Image J software. We compared the means statistically using the Wilcoxon-Mann-Whitney test and performed linear regression.Results: We do not identify statistical significance between the groups for the measurements of uterus length (Control: 2.02-6.36mm/mean=3.59mm/SD+-1.43 vs. Anencephalic: 1.71-5.44mm/mean=2.97mm/SD+-1.21, p=0.1070) and uterus width (Control: 1.99-7.91mm/mean= 3.84mm/SD+- 1.27 vs. Anencephalic: 2.08-6.48mm/mean= 3.65mm/SD +- 1.23; p =0.3360). The linear regression analysis indicated that 80% significance was found in the correlations in normocephalic fetuses (12.9 to 22.6 WPC) and 40% significance in anencephalic fetuses (12.3 to 18.6 WPC). Conclusions: We do not find statistical differences in the length and width of the uterus in anencephalic fetuses compared to the control group but uterine length and width shows a lesser tendency to growth in the anencephalic fetuses during the second trimester suggesting that anencephaly can impact the development of the uterus.
The impact of low preoperative fibrinogen level on intraoperative blood products requirements during liver transplantation with surgical vena cava preservation technique: a retrospective cohort study.
Authors: Sibai Abdulrazak , Alsabani Mohmad , Alfouzan Rawan , Alhrabi Saja , Olayan Lafi , Aldobekhi Faris , Harbi Mohammed K. Al 
Published: May 2022

Abstract
BackgroundHypofibrinogenemia is commonly found in patients with end stage liver disease and may increase blood transfusion during liver transplantation. In this study, we aim to identify the impact of preoperative hypofibrinogenemia on blood products transfusion requirements during liver transplantation recipients performed with surgical vena cava preservation technique.MethodsThis retrospective cohort study included 123 patients who underwent liver transplantation with surgical vena cava preservation technique between January 2016 through December 2019 in a tertiary hospital in Saudi Arabia. The study population was divided into two groups based on preoperative fibrinogen levels: normal (>1.5 g/L) vs low (<1.5 g/L). The primary endpoint was total requirements of blood products transfused intraoperatively. Secondary endpoints were total length of intensive care unit (ICU) and hospital stay. Mann-Whitney U test was used to measure differences between groups and Spearman rank test was used for correlation analysis. ResultsForty (32.52%) patients out of 123 in the study had low (<1.5 g/L) fibrinogen level preoperatively. Preoperative hypofibrinogenemia was significantly associated with increased requirements of packed red blood cells, platelets, cryoprecipitates, fresh frozen plasma and fibrinogen concentrate. Correlation analysis showed that preoperative fibrinogen levels negatively and significantly correlated with intraoperative blood products requirements (P< 0.001). Hypofibrinogenemia was weakly associated with length of ICU stay (Median= 3 days [Q1, Q3: 2, 5.50] days compared to 2 days [2.00, 4.00] in normal group, P= 0.049. Length of hospital stay was approximately similar between both groups. ConclusionsLow preoperative levels of fibrinogen significantly correlate with increased blood products requirements during liver transplantation with surgical vena cava preservation technique. Guided by preoperative fibrinogen levels, this study proposes that correction of fibrinogen levels before liver transplantation may reduce the need for transfusion of larger amounts of blood products.
A Self-inspected Adaptive SMOTE Algorithm (SASMOTE) for Highly Imbalanced Data Classification in Healthcare
Authors: Kosolwattana Tanapol , Liu Chenang , Hu Renjie , Han Shizhong , Chen Hua , Lin Ying 
Published: May 2022

Abstract
In many healthcare applications, datasets for classification may be highly imbalanced due to the rare occurrence of target events such as disease onset. The SMOTE (Synthetic Minority Over-sampling Technique) algorithm has been developed as an effective resampling method for imbalanced data classification by oversampling samples from the minority class. However, samples generated by SMOTE may be ambiguous, low-quality and non-separable with the majority class. To enhance the quality of generated samples, we proposed a novel self-inspected adaptive SMOTE (SASMOTE) model that leverages an adaptive nearest neighborhood selection algorithm to identify the “visible” nearest neighbors, which are used to generate samples precisely falling into the minority class. To further enhance the quality of generated samples, an uncertainty elimination via self-inspection approach is introduced in the proposed SASMOTE model, which filters out the synthetic data with high uncertainty and that are inseparable with the majority class. The effectiveness of the proposed algorithm is demonstrated through two real-world case studies in healthcare, including risk gene discovery and fatal congenital heart disease prediction, and compared with existing SMOTE-based algorithms. By generating the higher quality synthetic samples, the proposed algorithm is able to help achieve better prediction performance (in terms of F1 score) compared to the other methods, which is promising to enhance the usability of machine learning models on highly imbalanced healthcare data.
Understanding the clean cooking policy challenge in sub-Saharan Africa using a geospatial approach
Authors: Khavari Babak , Ramirez Camilo , Jeuland Marc , Nerini Francesco Fuso 
Published: May 2022

Abstract
Universal clean cooking is one of the key targets under Sustainable Development Goal (SDG) 7, and has implications for several other SDGs, such as good health and well-being, gender equality and the climate goals. Yet, 2.6 billion people globally still lack access to clean cooking. The situation is especially dire in sub-Saharan Africa (SSA), where only 16% use clean stoves and fuels. We develop, and apply to SSA, the first open-source spatial tool comparing the relative potential of different cookstoves based on their costs and benefits. Our results suggest a severe market failure as the currently most used solution, traditional cookstoves, have the lowest social net-benefit nearly everywhere in SSA. Correcting this failure would deliver significant health, time and emission benefits. The presence of severe market failures and behavioral obstacles require targeted policies to both increase the understanding and internalize benefits and externalities from the adoption of clean cooking.