bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on intelligent identification of floor water inrush path in deep coal seam mining based on A-Star algorithm
Authors: SUN Wenbin , SUN zhihui , LIU hongqiang , CHU yixin 
Published: September 2024

Abstract

With the increasing depth of coal seam mining, the coal mine production process is gradually facing the influence of high stress and high water pressure and other factors, so that the difficulty of identifying the path of floor water inrush is increasing, and the difficulty of predicting the occurrence of floor water inrush in coal mine is also increasing. In order to more accurately predict the risk of floor water inrush, the identification of floor water inrush path is studied. The indoor similar material simulation experiment is used to collect the changes of water pressure and stress data at the floor during the excavation of coal seam, and the coal seam floor is divided, graded and divided into nodes. The analytic hierarchy process is used to obtain the subjective weight of each zone in the first-level region divided by the floor.Secondly, the CRITI weight method is used to calculate the objective weight of each factor at each node in the secondary area divided by the bottom plate. Then, the weighted average method is used for comprehensive analysis, and the comprehensive weight of each node in the secondary area is obtained. The water inrush probability index of each node of the floor is obtained, and the floor water inrush prediction model is established. The obtained water inrush probability index is assigned to the model. The larger the value, the greater the possibility of water inrush. The A-Star algorithm is used for path planning, and the water inrush path of the floor during coal seam excavation is obtained.Through the visualization of similar material simulation experiment and the observation and monitoring of the formation and development trend of water inrush path in the actual process by the electrical equipment used in the experiment, compared with the path planned by A-Star algorithm, it is proved that this method is feasible and can be used in engineering practice. In view of the above research on the identification of water inrush path, this process is used as the basis of operation, and the corresponding identification system is developed. The water inrush process is reproduced through a visual interface to realize the intelligent identification of the water inrush path of the floor and guide the actual safety production of the mine.
FACT inhibitor CBL0137, administered in an optimized schedule, potentiates radiation therapy for glioblastoma by suppressing DNA damage repair
Authors: Barone Tara A. , Robinson Denisha L. , Qiu Jingxin , Gurova Katerina V. , Purmal Andrei A. , Gudkov Andrei V. , Plunkett Robert J. 
Published: September 2024

Abstract

Purpose
Standard-of-care for glioblastoma remains surgical debulking followed by temozolomide and radiation. However, many tumors become radio-resistant while radiation damages surrounding brain tissue. Novel therapies are needed to increase the effectiveness of radiation and reduce the required radiation dose. Drug candidate CBL0137 is efficacious against glioblastoma by inhibiting histone chaperone FACT, known to be involved in DNA damage repair. We investigated the combination of CBL0137 and radiation on glioblastoma.
Methods
In vitro, we combined CBL0137 with radiation on U87MG and A1207 glioblastoma cells using the clonogenic assay to evaluate the response to several treatment regimens, and the Fast Halo Assay to examine DNA repair. In vivo, we used the optimum combination treatment regimen to evaluate the response of orthotopic tumors in nude mice.
Results
In vitro, the combination of CBL0137 and radiation is superior to either alone and administering CBL0137 two hours prior to radiation, having the drug present during and for a prolonged period post-radiation, is an optimal schedule. CBL0137 inhibits DNA damage repair following radiation and affects the subcellular distribution of histone chaperone ATRX, a molecule involved in DNA repair. In vivo, one dose of CBL0137 is efficacious and the combination of CBL0137 with radiation increases median survival over either monotherapy.
Conclusions
CBL0137 is most effective with radiation for glioblastoma when present at the time of radiation, immediately after and for a prolonged period post-radiation, by inhibiting DNA repair caused by radiation. The combination leads to increased survival making it attractive as a dual therapy.
Integrating Transcriptomic Data with a Novel Drug Efficacy Prediction Model for TCM Active Compound Discovery
Authors: Li Yingcan , Shen Yu , Cai Yezi , Gao Jiahui , Huang Lei , Si Weinuo , Zhou Kai , Gao Shan , Luo Qichao 
Published: September 2024

Abstract

Identifying the active nature compounds remains a challenge for drug discovery, and new algorithms need to be developed to predict active ingredients from complex natural products. Here, we proposed Meta-DEP, a Meta-paths-based Drug Efficacy Prediction based on drug-protein-disease heterogeneity network, where Meta-paths contains all the shortest paths between drug targets and disease-related proteins in the network and drug efficacy is measured by a predictive score according to drug disease network proximity. Experiments show that Meta-DEP performs better than traditional network topology analysis on drug-disease interaction prediction task. Further investigations demonstrate that the key targets identified by Meta-DEP for drug efficacy are consistent with clinical pharmacological evidence. To prove that Meta-DEP can be used to discover active nature compounds, we apply it to predict the relationship between the monomeric components of traditional Chinese medicine included in the TCMSP database and diseases. Results indicate that Meta-DEP can accurately predict most of the drug-disease pairs included in the TCMSP database. In addition, biological experiments are directly used to demonstrate that Meta-DEP can mined active compound from traditional Chinese medicine with integrating disease transcriptomic data. Overall, the model developed in this study provides new impetus for driving the nature compound into innovative lead molecule. Code and data are available at https://github.com/t9lex/Meta-DEP.
A Risk-Prediction Model for Hepatorenal Syndrome in Patients with Liver Failure: A Retrospective Analysis
Authors: LIU HAO , LAN Yanmei , ZHANG Rongzhen , ZHANG Kan , Wang Minggang , Mao Dewen 
Published: September 2024

Abstract

Objectives
To identify the risk factors and develop a risk-prediction model for hepatorenal syndrome (HRS) in patients with liver failure (LF).
Methods
A retrospective case-control study involving 372 inpatients with LF admitted to The First Affiliated Hospital of Guangxi University of Chinese Medicine between July 2012 and July 2022 was performed. Univariate and multifactorial logistic stepwise regression analyses were employed to identify risk factors for HRS. A risk-prediction model was constructed, and its predictive value was evaluated using the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analyses.
Results
Combined ascites, combined spontaneous bacterial peritonitis, and high serum levels of gamma-glutamyl transpeptidase, uric acid, and cystatin C were independent risk factors for HRS. The areas under the ROC curve for the training and validation sets were 0.877 and 0.828, respectively. The logistic model demonstrated a good fit. In the decision curve analysis, the curves for both the training and validation sets were well-positioned away from the two extreme treatment strategies (all patients treated or untreated).
Conclusions
The risk-prediction model developed in this study for HRS in LF patients exhibits robust predictive capability, offering a valuable tool for timely clinical intervention and effective treatment of HRS.
The impact of coronavirus disease 2019 (COVID-19) on the perioperative outcomes of emergency cesarean section in maternal and neonatal prognosis: A propensity score-matched analysis
Authors: Yan Feiyi , Wang Jing , Liang Zhuwei , Han Ruquan , Ma Jiajia 
Published: September 2024

Abstract

Objective
To evaluate the impact of COVID-19 infection on maternal and neonatal prognosis.
Study Design and Setting:
This retrospective, propensity score-matched analysis was conducted at Beijing Tiantan Hospital, China, from October 2022 to December 2022.
Participants:
We retrospectively collected clinical data from 711 parturient women and their neonates. The inclusion criteria were: 1) parturient women who underwent emergency caesarean section within less than 2 hours; 2) parturient women who underwent nucleic acid testing for COVID-19; and 3) at least one COVID-19 related clinical symptom, such as fever, cough, nausea, or other symptoms. The exclusion criteria were parturient women who had natural childbirth or lacked COVID-19 related clinical symptoms.
Methods
Propensity score matching (PSM) was performed based on whether the parturient women were infected with COVID-19 (defined as nucleic acid test positive combined with at least one clinical symptom related to COVID-19 infection, versus test negative). The covariates included age, height, weight, Body Mass Index (BMI), weight gain during pregnancy, anesthesia method, gestational week, term pregnancy, preoperative routine blood test, and coagulation function.
Results
The research cohort ultimately included 58 parturient women and their newborns through PSM and inverse probability of treatment (n = 29 positive, n = 29 negative). There was a lower incidence of fetal distress in the non-infected group (17.24% vs 44.83%, OR = 3.9, 95% CI 1.163–13.078, P = 0.023). The anesthesia satisfaction score and postoperative recovery quality (QoR-15) score were higher in the non-infected group (10 vs 10, P = 0.005 and 144 vs 148, P = 0.029, respectively).
Conclusion
COVID-19 infection combined with related clinical symptoms may increase the likelihood of fetal distress and reduce maternal satisfaction with anesthesia and postoperative recovery quality scores.
Comparison of Trans-Umbilical Single-Port Laparoscopic Complete Extraperitoneal Closure and Laparoscopic Intracorporeal Closure for Pediatric Inguinal Hernia: A Randomized Controlled Study
Authors: Li Yanyi , Jin Zhu , Tang Chengyan , Gong Yuan , Huang Lu , Du Qing , Xia Xinrong , Zhu Daiwei , Zhou Wangkan , Li Zeping , Wang Weiao , Liu Yuanmei , Zheng Zebing 
Published: September 2024

Abstract

Background
The purpose of this study was to compare the outcomes of Trans-umbilical single-port laparoscopic complete extraperitoneal closure (LCEC) and laparoscopic intracorporeal closure (LIC) for inguinal hernia by analysis of follow-up data over 5 years.
Methods
In this prospective randomized controlled trial, 524 children with inguinal hernia were randomly assigned to undergo LCEC or LIC between August 2016 and December 2017. The primary outcome measures were the success and recurrence rates. The secondary outcome measures were operative time; length of hospital stay; postoperative pain score; and incidence of postoperative complications, including rates of wound infection, stitch abscess, and testicular atrophy.
Results
Primary analysis of the 227 patients in the LIC group and 215 patients in the LCEC group revealed that in the LCEC group, the success rate of was significantly higher in LCEC group (96.7% vs. 90.3%, P < .05) and the length of hospital stay was significantly shorter (P < .05) than those of the LIC group. Neither the recurrence rate (P > .05) nor the operative time (P > .05) of the groups significantly differed. The pain scores at postoperative 12 and 24 hours were significantly lower in the LCEC group than in the LIC group (P < .05). The incidence rates of wound infection (0.93% vs. 5.7%, P < .05) and stitch abscess (1.4% vs. 7.0%, P < .05) were significantly lower in the LCEC group than in the LIC group. No testicular atrophy occurred in either group.
Conclusion
LCEC is associated with better clinical success and fewer postoperative complications for repair of pediatric inguinal hernia compared with LIC.
Bipolar Disorder in a female with CDKL5 Deficiency Disorder: A Case Report
Authors: Lucash Jenna , Hong William , Swanson Lindsay , Maski Kiran , Urion David , Kim Jung , Leonard Helen , Olson Heather 
Published: September 2024

Abstract

Background: CDKL5 deficiency disorder (CDD) is an early-onset developmental and epileptic encephalopathy. While a subset of individuals is believed to experience comorbid behavioral disorders, none have reported well-defined affective disorders. Though there is a documented association between epilepsy and mood disorders, they may go undetected in the CDD population due to difficulty assessing mood in the presence of severe/profound intellectual disability and disease-related sleep dysregulation. We aimed to identify the clinical characteristics of an individual with CDD who presented with a mood disorder falling outside this expected behavioral phenotype.
Case Presentation: We identified one 22-year-old female with CDD diagnosed with unspecified bipolar disorder at 18 years of age. Family history was noncontributory. At diagnosis, she had fluctuations in mood, characterized by periods of elated affect, increased energy and vocalizations, hypertonia, and insomnia lasting 3-4 days alternating with periods of depressed affect, irritability, hypotonia, and excessive sleep lasting for up to one month. She had experienced frequent mood swings and sleep dysregulation from early childhood, and by early adulthood the duration of “up” and “down” periods fell in the range specified in the DSM-5 bipolar disorder criteria. Trazodone and suvorexant did not alleviate sleep related symptoms. Her epilepsy was well controlled on lamotrigine monotherapy since early childhood. Though lamotrigine treatment has had no psychiatric benefit despite its known mood stabilizing properties, aripiprazole has been effective in reducing severity and frequency of fluctuations between hypomania and depression.
Conclusions: While sleep and behavioral disorders fall within the expected phenotype for CDD, this is the first report of bipolar disorder. Careful attention to patterns of sleep and behavior that may indicate mood cycling in this population is required, particularly in the setting of limited communication and functional abilities.
The association between lipid accumulation products and gallstones in US adults: a cross-sectional study from NHANES 2017–2020
Authors: Bin Chuxuan , Zhang Shutian 
Published: September 2024

Abstract

Background
The lipid accumulation product (LAP) is an efficient indicator for identifying individuals with various metabolic disorders. However, the association between LAP and gallstones is uncertain. In this study, we examined the association between LAP and gallstones.
Methods
The data obtained from individuals ≥ 20 years old who participated in the National Health and Nutrition Examination Survey (NHANES) between March 2017 and 2020 (pre-pandemic) were analyzed. Logistic regression, nonlinear regression, subgroup, and sensitivity analyses were conducted to determine the relationship between LAP and gallstones.
Results
Among the 2,755 participants (mean age: 50.4 ± 17 years, 48.7% female), 301 individuals (12.3%) suffered from gallstones. Each unit increase in LAP, after natural logarithm (Ln) conversion, was associated with a 59% increase in the incidence of gallstone (OR = 1.59, 95% CI: 1.24, 2.05) in the fully adjusted model, particularly in females, non-Hispanic Whites, and other races/ethnicities, and individuals without coronary heart disease (CHD) and diabetes.
Conclusions
LAP is positively associated with the incidence of gallstones.
Coverage of Mass Drug Administration and Outcomes for Schistosomiasis and Soil Transmitted Helminths, Uganda, 2013–2023
Authors: Namara Benigna G. , Kwesiga Benon , Migisha Richard , Bulage Lilian , Tinkitina Benjamin , Ario Alex Riolexus , Mubangizi Alfred 
Published: September 2024

Abstract

Background
Uganda has a high burden of Neglected Tropical Diseases (NTDs), particularly affecting the rural populations. Some NTDs are targeted for control/elimination using preventive chemotherapy administered annually or bi-annually to populations at risk through mass drug administration (MDA). Schistosomiasis and soil transmitted helminths (STHs) are among these. MDA for Schistosomiasis is given only to school-age children (SAC) and adults while that for STHs is given only to SAC and pre-school-age children (preSAC). The MDA coverage target for both these NTDs is 75%. Decline in size of population at risk (PAR) and number of cases are indicators of effective control/progress towards elimination. We describe the trends in coverage of MDA and outcomes for schistosomiasis and STHs.
Methods
We reviewed available data on MDA coverage, size of population at risk and disease occurrence (case counts) for schistosomiasis and STHs from 2013 to 2023. We analysed the trends using the Mann Kendal test.
Results
From 2014–2022, there was an apparent increase in MDA coverage for schistosomiasis for both SAC (from 21–82%, p = 0.5) and adults (from 34–36%, p = 0.1) but both trends were not significant. Similarly, for STHs, MDA coverage increased for both SAC (from 63–114%, p = 0.09) and preSAC (from 65–76%, p = 1.0), but these trends were not significant. The PAR for schistosomiasis increased by 25% for SAC (2014: 4,777,189 vs 2022: 5,979,311, p = 0.002) and by 60% for adults (2014: 4,436,444 vs 2022: 7,091,933, p = 0.03). For STHs, PAR increased by 19% for both SAC (2014:11,287,385 vs 2022:13,397,219, p = 0.03) and preSAC (2014: 5,279,025 vs 2022: 6,299,355, p = 0.047). From 2013–2023, there was a 62% reduction in reported cases of Schistosomiasis (2013: 6518 vs 2023: 2501, p = 0.7) and a 52% reduction in reported cases of STHs (2013: 2,457,021 vs 2023:1,176,463, p = 0.5) but both trends were not significant.
Conclusions
Current efforts to control Schistosomiasis and STHs are ineffectual. Efforts to improve and maintain MDA coverage for both NTDs to the target of 75% are crucial, while the rise in PAR and unabating case counts necessitates targeted interventions including improved sanitation, health education and vaccine development.
When Do Elite Speed Skaters Reach Peak Performance and How Can It Be Enhanced? A Longitudinal Data Study.
Authors: Chen Yuming , Chen Jiexing , Chen Hui , Cao Yang , Su Christine , Chen Liang 
Published: September 2024

Abstract

This study aimed to investigate the peak performance characteristics of world elite speed skaters and the key factors involved in the journey towards achieving better peak performance. Data from 651 elite skaters across the 2003/2004 to 2022/2023 seasons were collected from the International Skating Union database. Individual quadratic trajectories were used to track progression to peak performance. K-means clustering grouped competitive feature variables, and key developmental factors were analyzed through a binary logistic regression model, with the Odds Ratio (OR) indicating whether a factor was favorable (OR>1) or unfavorable (OR<1). Significant differences (P<0.01) in the peak age between medalists and non-medalists were noticed, while no significant differences (P>0.05) were noticed between sexes or distances. Significant differences (P<0.05) were observed between genders, as well as between medalists and non-medalists in the peak-performance window. Binary logistic regression revealed that medium (OR=8.070) or high (OR=28.242) first participation performance, high first major competition performance (OR=4.818), medium (OR=10.661) or early (OR=51.592) first major competition age, medium career-best performance age (OR=40.333), participation frequency above 2.8 times/year in phase-3 (2.8-4.7 times/year: OR=5.132; 4.8-8.0 times/year: OR=8.171), and a career length of 9 years or more (9-13 years: OR=2.538; 14-21 years: OR=4.647) were favorable factors for achieving better peak performance. In conclusion, peak age range for world elite speed skaters was 25-28 years, with a duration of peak performance lasting 4-5 year. Certain developmental factors were key conditions for world elite speed skaters to enhance their peak performance in the future.
Niosome; a stable antioxidant drug delivery system and effect on improvement of neurological defects in animal model of stroke
Authors: Sadeghian Zahra , Bigdeli Mohammad Reza , Moghadam Fatemeh Mortazavi , Jahanfar Mehdi 
Published: September 2024

Abstract

According to World Health Organization statistics, millions of people suffer an ischemic stroke each year, that oxidative stress as the main factor leads to damage to the brain cells. In this study, Niosome with antioxidant content of Satureja.rechingeri plant was applied to different brain regions to achieve better recovery. In this study, 60 Wistar male rats divided into 4 groups (n=15) randomly and were subjected to MCAO model: Sham group, control group, the first and second treatment groups. That were treated with specific doses of drugs by subcutaneous injection. That groups were divided into 5 subgroups (n=3) and analyzed according to stroke volume, edema, permeability of the brain-blood barrier, concentration of the superoxide dismutase enzyme and relative expression of microRNA 327. The data showed that both groups of essential oil Satureja.rechingeri and Niosome loaded with it caused a significant reduction in stroke volume, brain edema, reduction in Evans blue concentration (P≤0.05) and the relative expression of miR- 327 was reported to downregulated. Thus, it seems essential oil Satureja.rechingeri has a high antioxidant capacity against reactive oxygen species, and when loaded in the niosome can prevent the destruction of this substance against oxidation and have a protective effect on nerve cells and epithelial capillary, that leads to an increase in the strength of the blood-brain barrier which may have a protective effect against ischemic stroke.
Quantifying PM2.5 at Two Urban Sites in Akure, Nigeria Using Low-Cost Sensor Technology
Authors: Abulude Francis Olawale , Saetae Sawanya , Ndamitso Mohammed Mohammed , Akinnusotu Akinyinka , Oluwagbayide Samuel Dare , Nakayama Tomoki 
Published: September 2024

Abstract

PM2.5 has been a problem for inhabitants throughout the whole world. To reduce this, there is a need to know the amount that is present in the atmosphere. The quantification of PM2.5 will help to determine the type of remedies for air quality. One of the methods used for quantification is the use of low-cost sensors which are easy to use, high temporal resolution, and small to handle. The aim of this study is to apply low-cost optical sensors to determine the PM2.5 during the dry (Harmattan) season at two sites in Akure, Ondo State, Nigeria. The results showed that PM2.5 at a site (Site-B) ranged between 14.4 and 590.4 µg/m3, while that at another site (Site-C) ranged between 14.5 and 737.2 µg/m3. The mean values (75.7 and 87.5 µg/m3 at the Site-B and the Site-C, respectively) were significantly beyond the standard limits of WHO and NESREA. Shorter timescales peaks within a few hours were frequently observed especially at the Site C during daytime, likely due to the local emissions of PM2.5 due to combustion activities. The higher-density multi-points observations are highly recommended to understand sources, behavior, and health effects of PM2.5 in regional city in South-West Africa.