bluuebunny/crossref_metadata_2025_split huggingface dataset:
Geohazard Susceptibility Mapping Considering Spatial Heterogeneity: A Case Study of Xide County in Sichuan Province
Authors: Ning zhijie , Tie Yongbo , Sun Cai , Xu Wei 
Published: February 2024

Abstract

Spatial heterogeneity is closely related to the development pattern and spatial distribution of geohazard, which significantly affects the result of geohazard susceptibility mapping. In view of this, taking Xide County in Sichuan Province as an example, this paper proposes a semi-quantitative zoning scheme based on the hazard-pregnant environment and hazard density to divide the study area into four blocks. And the effect of zoning is evaluated by utilizing the ecological detector and risk detector of Geodetector. On this basis, based on the data fluctuation weighted method, the selecting and weighted of evaluation factors were carried out in different blocks, and the mapping of the susceptibility of each block was completed by using ARCGIS software. The AUC value, precision rate, recall rate and coefficient of heterogeneity were used as evaluation parameters to compare the reasonableness of the susceptibility mapping before and after zoning. The results show that: Solving the problem of spatial heterogeneity can effectively improve the accuracy and reliability of susceptibility mapping. The analysis of susceptibility mapping relies on different evaluation parameters, and the coefficient of heterogeneity may play an important role in further improving the accuracy and reliability of the mapping results. The study contributes to the refined development of regional geohazard susceptibility mapping, and the proposed methodology is highly generalizable and replicable.
Expression of telomerase reverse-transcriptase ( in the rainbow trout (Oncorhynchus mykiss) eggs with varied developmental competence for gynogenesis
Authors: Ocalewicz Konrad , Kuciński Marcin , Jasielczuk Igor , Gurgul Artur , Kucharski Mirosław , Dobosz Stefan 
Published: February 2024

Abstract
Expression of the telomerase reverse-transcriptase (TERT) gene and activity of telomerase have been reported in the somatic tissues and gonads in fish irrespective of their age and size. Nevertheless, little is known about TERT expression in the fish eggs. In the present research, TERT expression was confirmed in the rainbow trout ovulated eggs before and after activation with non-irradiated and UV-irradiated sperm. Eggs originating from eight females had high and comparable quality expressed by similar hatching rates. However, the development of eggs activated with UV-irradiated sperm and further exposed to the High Hydrostatic Pressure (HHP) shock to provide gynogenetic Doubled Haploids (DHs) varied between females from 2.1 ± 0.4% to 40.5 ± 2.2%. Elevated TERT expression was confirmed in gametes originating from two females. However, only eggs from one of these females had increased competence for gynogenesis. In turn, eggs from the female that exhibited the highest survival after gynogenetic activation were characterized by the lowest TERT expression. TERT expression in the fish female gametes is presumably linked with the maintenance of the telomere length and the mechanism of Double Strand Breaks repair however, its upregulation does not assure increased ability of the rainbow trout eggs for the gynogenetic development.
Prevalence and factors associated with urinary incontinence in community-dwelling older adults
Authors: Soares Taís Gonçalves , Barbosa Juliana Magalhães Machado , Sampaio Natália Reynaldo , Corrêa Ully Caproni , Silva Silvia Lanziotti Azevedo da , Sunemi Mariana Maia de Oliveira , Pereira Daniele Sirineu 
Published: February 2024

Abstract
The prevalence of urinary incontinence (UI) in Brazilian older adults is variable due to the methodological heterogeneity of available studies and investigating the factors associated with this condition can lead to an approach centered on the biopsychosocial model. Therefore, the objective of this study was to determine the prevalence and factors associated with UI in community-dwelling older adults. This is a population-based cross-sectional study with 496 community older adults enrolled in the Family Health Strategy of the Municipality of Alfenas, MG, Brazil. UI was identified from ICIQ-SF and its association with sociodemographic data, health-related habits and clinical and functional conditions was evaluated. Binary logistic regression was performed to identify factors associated with UI. The prevalence of UI in the sample was 21%. The presence of multimorbidities (OR = 0.132; p = 0.007), higher BMI (OR = 1.055; p = 0.025), positive screening for depressive symptoms (OR = 0.417; p = 0.003) and worse performance on the TUG (OR = 1.056; p = 0.031) were associated with the presence of UI in community-dwelling older adults living in Alfenas, MG. The findings reinforce the need to carry out an assessment centered on the biopsychosocial model, considering all the factors which may influence the occurrence of UI in older adults.
Dietary Black Raspberry Supplementation as Natural Polyphenol Source Against Mild Dementia Patients with Overweight and Helicobacter pylori Infection
Authors: Wang Chin-Kun , Tandoro Yohanes , Chiu Hui-Fang , Tan Chei-Ling , Hsieh Ming-Hong , Huang Yi-Wen , Yu Jianhua , Wang Li-Shu , Chan Chi-Ho 
Published: February 2024

Abstract

Alzheimer's disease (AD) is the most common form of dementia. H. pylori infection and overweight have been implicated in AD via the gut-brain axis (GBA). This study aimed to determine supplementation of BRBs has a meaningful effect on the H. pylori infection, overweight and AD development in a clinical trial setting. We conducted a randomized placebo-controlled clinical trial in patients with mild clinical dementia who also had H. pylori infection and overweight. The study was carried out over 10 weeks, consisting of an 8-week intervention period (25g powder of black raspberries, BRBs, or placebo twice a day, morning and evening) and a 2-week follow-up. The primary outcomes were changes in Clinical Dementia Rating (CDR), Urea Breath Test (UBT), and Body Mass Index (BMI). Consumption of BRBs improved cognitive functions (p<0.00001), compared to the placebo group (p>0.05). Besides, BRB ingestion decreased H. pylori infection and BMI (p<0.00001 and p<0.05 respectively) while placebo group stay statistically the same (p=0.98 and p=0.25 respectively). BRBs significantly decreased inflammatory markers, improved oxidative index, adiponectin (p<0.05) compared to placebo group, while adenosine monophosphate-activated protein kinase (AMPK) and leptin did not significantly change. BRBs modulated the abundance of several fecal probiotics, particularly, Akkermansia muciniphila. Our results provided that BRBs suppressed H. pylori infection and decreased BMI and rebalancing the gut microbiome, which could improve cognitive functions in AD patients. Longer and larger randomized clinical trials of BRB interventions targeting H. pylori infection, overweight, or AD are warranted to confirm the results from this pilot trial.
Trial Registration: ClinicalTrials.gov identifier: NCT05680532
Causal Associations of Circulating Metabolites and Immune Cells with Colorectal Cancer：A Bidirectional Two-sample Mendelian randomization study
Authors: Wang Yifei , Li Xian , Zhan Chengwei , Liu Yanxin , Li Xianchao , Yu Jinhai 
Published: February 2024

Abstract

Background
Several recent studies have shown an association of circulating metabolites and immune cells with colorectal cancer. However, the causal relationship is unclear. (2) Methods: A bidirectional two-sample Mendelian Randomization(MR) analysis was used in our study. (3) Results: MR analysis of 1091 blood metabolites, 309 metabolite ratios, 731 immune cells and CRC showed 58 blood metabolites, 11 metabolite ratios, and 38 immune cells phenotypes were significant associations with CRC, including 2 blood metabolites and 1 immune cell phenotype exhibiting bidirectional associations. (4) Conclusion: Our study identified circulating metabolites and immune cells associated with the onset of CRC and explored their bidirectional relationships. We provided new insights into early screening, therapeutic targets, and treatment strategies for CRC. However, further research is required to confirm these preliminary observations and to elucidate the intricate network of causality involved.
A Low-noise MEMS Seismograph Based on Symmetric Buckling Beams
Authors: Che Lufeng , Wang Weidong , qi minghong , jin shilong , ding taotao , zhao zhengqiang , Ding Zhi , Hou Baoyin , Zhu Ye 
Published: February 2024

Abstract
MEMS seismographs are able to achieve lower noise performance by increasing the mass, reducing the resonant frequency, and increasing the quality factor (Q), which allows they can be used in the field of seismology. In this design, we propose a novel beam-mass design that incorporating two types of buckling beams (BBs), one of which will exhibits negative stiffness characteristic when the gravity of the proof mass is greater than its buckling load, while the other still exhibits positive stiffness characteristic. Through effective stiffness compensation, simulation results show that this MEMS seismograph owns a quasi-zero stiffness characteristic (0.15 N/m) and a low resonant frequency of 8.89 Hz. Previous studies of positive stiffness beams usually used folded beams, curved-beams with single-end constraints, etc, however, it is important to note that changes in the width of beams by the microfabrication directly impact the stiffness characteristic of the MEMS seismographs, and may even result in the loss of quasi-zero stiffness characteristics. Nevertheless, the simulation results of our design reveal that this MEMS seismograph maintain a quasi-zero stiffness characteristics and low resonant frequency (<10 Hz) within an angle from the horizontal (2.7° - 177.3°), although the width of BBs is smaller than the specified dimensions because of the effects of microfabrication errors. Finally, comprehensive testing reveals that this MEMS seismograph possesses a resonant frequency of 8.6 Hz at an angle of 84° from the horizontal, noise power spectral density of 20 ng/√Hz from 0.42 Hz to 3 Hz.
Analysis of Medication Utilization in Isolated Areas of Fever Clinics During the COVID-19 Epidemic Outbreak: A Multicenter Study in General Hospitals in China
Authors: Zhang Zhiqing , Zang Yaru , Yang Jingyi , Yang Kaining , Zhao Yue , Zhang Wei , Guo Shuanghu , Han Chaoxu , Liu Chaoxing , Mi Xiangzheng , Wang Xiaoli , Wang Chuanping 
Published: February 2024

Abstract

Objective: To analyze the demographic characteristics and patterns of medication use among patients in fever clinics (FCs) during the COVID-19 outbreak in China and provide information for COVID-19 treatment.
Method: Various-grade general hospitals in China were selected, and patient information was extracted during the initial wave of the COVID-19 epidemic. Demographic characteristics were analyzed, including visit time, age, sampling morbidity rate, and disease distribution. Prescription information from the FC database was extracted to analyze drug use and the rationality of the medication.
Result: Between September 1 and December 31, 2022, 41,445 patients received treatment at FCs in 11 included hospitals. After the relaxation of COVID-19 control measures, there was a rapid increase in the number of daily patient visits (peaking >1,000 people/day, with a growth rate of 158.8%). The highest sampling morbidity rate was observed among individuals over 85 years old (>100 person-times/million population), followed by children (60-94 person-times/million population). Respiratory system diseases (39,295 cases) were the most diagnosed, with respiratory system infections (21,201 cases) and fever (15,132 cases) the most common. The proportion and frequency of use of essential national drugs were 34.3% and 73.1%, respectively, while those for the drugs recommended in the national COVID-19 treatment guidelines were 6.1% and 43.2%, respectively. Ibuprofen, acetaminophen, and Lianhua Qingwen had the highest frequency of drug use. The most prescribed drugs by cost were immunoglobulin, azivudine, and cefoperazone sulbactam. The water-electrolyte balance regulator drugs, respiratory system drugs, anti-infective drugs, and traditional Chinese patent drugs were the most frequently used. In contrast, immunomodulators, anti-infectives, and Chinese patent drugs had the largest monetary amounts. There was a significant difference in medication rationality between different hospital grades (P<0.001), with tertiary teaching hospitals having the highest rate.
Conclusion: Strict epidemic control measures and the role of FCs played a crucial role in controlling the spread of the COVID-19 epidemic. Patients treated in FCs predominantly suffered from respiratory diseases, with older patients and children identified as high-risk populations. Physicians often choose national guidelines, essential drugs, and traditional Chinese for COVID-19 treatment. Tertiary teaching hospitals played a crucial role during the epidemic outbreak.
Observation of a moderate Major Baltic Sea inflow in December 2023
Authors: Purkiani Kaveh , Jochumsen Kerstin , Fischer Jens-Georg 
Published: February 2024

Abstract

Just before Christmas 2023, the low-pressure system storm "Zoltan" struck Germany, resulting in widespread damage and two consecutive large storm surges on the North Sea coast in the night from Thursday 21 December 2023 to Friday 22 December 2023. Storm Zoltan brought heavy rainfall, accompanied by thunderstorms and winds ranging between 90 and 115 km h-1, with gusts reaching up to 140 km h-1 along the coast. Besides major rail service disruption and Christmas market clousers, it caused extreme flooding in northern Germany, e.g., in Hamburg St. Pauli sea level height rose to more than 3 m above mean high water level on 22 December 2023, flooding the historic Hamburg fish market. Characteristics of the inflowing water at the Darss Sill (DAR) and the Arkona basin buoy (ARK), including salinity, temperature, oxygen concentration and current properties, were analysed to understand the impact of storm Zoltan in the western Baltic Sea.In addition to the damage along its path, following the onset of strong westerly winds associated with storm Zoltan, a large volume of water, containing saline (17-22 psu), cold (5-6°C), and oxygen-rich (7-8 ml l-1) water from the North Sea reaches into the western Baltic Sea.
The sea level at Landsort Norra increased by +57 cm over a period of 14 days, from December 15 to December 29 2023. This results in a total volume change of 198 $\mathrm{km^3}$ in the Baltic Sea, with 169 $\mathrm{km^3}$ and 29 $\mathrm{km^3}$ provided via the Belt Sea and the Sound Sea, respectively. Observations at the Darss Sill station indicate a significant inflow between 19 December 2023 and 1 January 2024 with salinity above 13 psu, temperature below 5.5°C and dissolved oxygen concentration of about 7.5-8 ml l-1. While the maximum salinity of the bottom layer at Darss Sill is about 17 psu, the Arkona Basin buoy exhibits significantly higher salinities, reaching up to 22 psu at the bottom layer. During the main inflow period, 75 km3 of highly saline water enters the western Baltic Sea. This corresponds to a salt transport of 1.65 Gt into the western Baltic Sea (1.33 Gt from the Belt Sea and 0.32 Gt from the Sound Sea), which classifies the event in the moderate range of Major Baltic Sea inflows (MBI). This is the strongest inflow into the Baltic Sea since 2016.
Inferring the regional distribution of Visceral Leishmaniasis
incidence from data at different spatial scales
Authors: Nightingale Emily , Subramanian Swaminathan , Schwarzer Ashley , Chapman Lloyd , Jambulingam Purushothaman , Cameron Mary , Brady Oliver , Medley Graham , Lucas Tim 
Published: February 2024

Abstract

As cases of visceral leishmaniasis (VL) dwindle, there is justification to pursue a finer scale than the sub-district ("block") for monitoring the progress of elimination in India. Low incidence projections across broad regions of unevenly-distributed communities are difficult to act upon, and focal pockets of incidence cannot be overlooked if the goal is to avoid resurgence and sustain equitable elimination. However, maintaining consistent surveillance at a fine scale is difficult to justify in a low-resource elimination setting and not sustainable in the long-term.

This work analyses village-level incidence across the whole of Bihar. Spatial auto-correlation in observed incidence and associations with local environmental conditions are explored, and a statistical disaggregation approach is evaluated to infer village-level variation from routine block-level data. We found that the approach did not estimate village-level incidence more accurately than a baseline assumption of block-homogenous incidence, and that this inaccuracy did not appear to be due to non-linear or interacting covariate effects. We suggest that mechanisms of the current surveillance system may limit the predictability of observed village-level incidence, and that this should be a consideration when interpreting the output of disaggregation models.

Spatial autocorrelation is evident on a block-level but appears weak between neighbouring villages within individual blocks, suggesting that an important transmission mechanism may act at a longer range (for example due to population movement). Increasing the range of reactive interventions to neighbouring villages may therefore not improve efficacy, however increased routine surveillance and treatment among mobile population groups may be beneficial in reducing the risk of reintroduction into previously unaffected villages.
Discharge time following natural birth in Uganda: Do non-clinical factors explain the trend?
Authors: Brian Kayera , Lwanga Charles , Mangombe Kudzaishe , Malisha Lutendo , Hellen Namawejje 
Published: February 2024

Abstract
Background: The paper examines the socioeconomic, obstetric, and child factors, associated with the mothers’ length of stay in the hospital following vaginal delivery in Uganda.
Method: Self-reported data from the individual record were extracted from the 2016 Uganda Demographic and Health Survey (UDHS) with a sample of 10220 women aged 15 - 49 who had their last birth in the last 5 years preceding the survey was used. Chi-square tests and binary logistic regression models were used to examine the relationship between socio-economic, obstetrics, and child factors, and hospital length of stay.
Results: The study found maternal age, marital status, wealth index, access to radio, place of delivery, child size, the child being a twin, and the child's health checked before discharge, to be associated with the hospital length of stay.
Conclusion: In conclusion, the risks of early discharge following vaginal delivery increased for mothers who were older; mothers from middle and rich income households; mothers giving birth in private health facilities; mothers accessing the media; mothers giving birth to big-sized children and giving birth to one child; and for infants not checked before discharge. Thus, healthcare professionals need to be mindful of the above socioeconomic and infant related factors when planning in-patient and out-patient care.
WITHDRAWN: Impact pressure characteristics of carbon dioxide phase transition fracturing technique
Authors: Yu bingzhen , Niu Shuaishuai , Zhou Shengtao , Lei Yu , He Zhijian , Luo Xuedong 
Published: February 2024

Abstract
Carbon dioxide (CO2) phase transition fracturing is widely regarded as a promising coal seam mining technology because it can effectively enhance the permeability of coal pore structure and prevent gas outbursts. A CO2 phase transition impact pressure test system was designed and developed, and the effects of different factors on phase transition impact pressure were investigated by combining CO2 release experiments and smoothed particle hydrodynamics (SPH) numerical simulation. In addition, based on the Peng-Robinson (P-R) equation and the pipeline pressure drop formula, new mathematical models of the pressure in the buffer tank and the velocity of gaseous CO2 at the nozzle were obtained. The results show that the CO2 phase transition impact pressure can divided into rapid boost, fluctuation, and attenuation stages. The impact distance and impact angle have the most significant effects on pressure. The model of the pressure in the buffer tank and the velocity of gaseous CO2 at the nozzle well-simulated the experimentally obtained impact pressure curves of CO2. The impact results can be applied to reference for the application of CO2 phase transition fracturing technology.
An Artificial Neural Network Forecast of SO2 Air Contamination: A Case Study of Ghaziabad City
Authors: Kumar Lokesh , Kumar Gaurav 
Published: February 2024

Abstract
One of the pollutants in the air that contributes most to air pollution is SO2. Artificial neural networks, a popular learning technique currently in use, were used in this study to assess the effects of this toxin on the environment and human health using data from 2019 to 2023. The Air Observation Centre of Uttar Pradesh Pollution Control Board (UPPCB) obtained information related to the Ghaziabad region, which is home to the industrial hub. SPSS programming was then used to complete the modelling and optimization processes. Before the generated SO2 estimation results were compared with the real data, they underwent a multilayer perceptron analysis. Moreover, the province of Ghaziabad's SO2 value has occasionally been reported to be higher than allowed, especially during times of high production.
Knowledge, attitudes, and practices of food handlers on endocrine-disrupting chemicals in baby formula in Malawi- A cross-sectional study
Authors: Kachipande Andrew , Temba Ben , Materu Silvia , Kaonga Chikumbusko 
Published: February 2024

Abstract

Background This cross-sectional study examines knowledge, practice, and attitudes regarding food safety among 100 people involved in manufacturing baby formula in Malawi regarding endocrine disruptors. The study received approval from the National Committee on Research and informed consent.
Methods Data collected through face-to-face interviews were checked, cleaned and analyzed using R version 4.2.2. Logistic ordinal regression analysis was used to examine the correlation between socio-demographic variables against knowledge, attitudes, and practices. The p-value < 0.05 was considered statistically significant for the tests.
Results and discussion There were more males (67%) than females (33%), at least half (51%) were below 35 years of age with 64% having at least 5 years of working experience. 92% trust in the safety of their product despite being unfamiliar with EDCs. Raw materials and packaging are suspected contamination sources. Only 42% of food handlers are aware of EDCs, slightly higher than Egypt and Ethiopia due to sociodemographic differences and study designs. Food safety knowledge correlated with sex (p = 0.016), ages 18-24 (p =0.069) and 45-54 (p = 0.036), and education level (p = 0.002). Food handlers who attained at least secondary education were better knowledgeable. The study reveals a significant knowledge gap and a higher likelihood of unsafe practices among food handlers regarding endocrine disruptors as they had positive attitudes.
Conclusion The study identifies knowledge gaps and a lack of national strategies to deal with EDC contamination. It suggests the need for strengthening food safety knowledge, practices, and attitudes through legal instruments, awareness, training, and collaboration.