bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perspective of females from a rural community in India towards the knowledge, screening, and treatment of breast and cervical cancer, and preventive vaccination
Authors: Sundriyal Deepak , Bahurupi Yogesh , Rajaram Shalini , Singh Mahendra , Aggarwal Pradeep , Antil Preeti , Gupta Sweety , Sehrawat Amit 
Published: September 2024

Abstract

Purpose
The success of a preventive oncology program depends upon the general population's awareness of the disease, its magnitude, and the screening and prevention process. The objective of our study was to study the situational analysis of the awareness of a rural community population towards the most common cancers in females.
Methods
We conducted a cross-sectional study in the rural community of Uttarakhand, recruiting 589 participants from Pauri Garhwal. We developed a questionnaire comprising sociodemographic information, knowledge of the disease, early detection, and the attitude toward breast and cervical cancer treatment. We also registered the participant's knowledge and enthusiasm towards vaccination against cervical cancer. Local Non-Governmental Organization (Uttarakhand Manav Seva Samiti, Delhi) collaborated to conduct door-to-door interviews.
Results
Among the participants, 38% and 79% had never heard about breast and cervical cancer, respectively. The knowledge about various signs and symptoms of breast cancer varied from 14–50%. Only 36.1% (132) and 11.5% (42) of the participants having heard about breast cancer were aware of breast examination and mammography including its utility to diagnose early breast cancer. The knowledge about various signs and symptoms of cervical cancer varied from 11–55%. Only 6.5% of them have heard about preventive vaccination. Nearly 57% and 56% of the participants expressed eagerness to participate in cancer screening programs. Younger (< 40 years) and literate participants were likelier to have statistically significant knowledge, awareness, and a positive attitude toward the disease.
Conclusion
A forbidding lack of awareness in the rural community has been observed towards breast and cervical cancers. Strengthening educational activities in the rural community against these cancers seems to be an indispensable step toward a preventive oncology program.
Seasonal shifts in the gut microbiome of Halyomorpha halys
Authors: Fluch Maja Regina Amalie , Corretto Erika , Feldhaar Heike , Schuler Hannes 
Published: September 2024

Abstract

The gut microbiome plays an important role in insect evolution and ecology. Bacteria support the host nutrition and defense and therefore play an important role for the fitness of the host. Halyomorpha halys is one of the most important invasive pest species in the world. Native to North-Eastern Asia, this Pentatomid bug has recently invaded North America and Europe, causing significant damage to agricultural production. Although an increasing number of studies investigated the biology of this pest species, little is known about its associated microorganisms. Like many other Pentatomid species, H. halys harbors a primary symbiont called ‘Candidatus Pantoea carbekii’, that produces vitamins and essential amino acids for the host. However, information about the presence of other bacteria is currently lacking. Therefore, we investigated the gut microbiome of H. halys individuals, which were collected in the field across the year using a high-throughput 16S rRNA gene metabarcoding approach. Our results revealed 645 different ASVs associated with H. halys, with Pantoea being the most abundant symbiont, present in almost all individuals. Interestingly, several individuals collected in summer harbor Commensalibacter. Besides these two predominant taxa, we show a high diversity of microorganisms associated with H. halys with seasonal fluctuations, highlighting a dynamic microbiome which might influence the biology of the species.
Mood swings, abdominal obesity, and heart failure: A Mediation Mendelian Randomization Study
Authors: Wu Yetong , Gao Xueping , Fang Qinghua , Shen Ting , Tan Jie , Li Qiaoqiao , Huang Jing 
Published: September 2024

Abstract

Background:Prior research has demonstrated a correlation between mood swings (MS) and heart failure (HF), as well as a potential link to abdominal obesity. Nevertheless, the precise connections among MS, abdominal obesity, and HF require further investigation for clarification.
Methods: Two-sample Mendelian randomization (MR) was used to analyze the causal relationships between MS and HF, combining five types of cardiovascular diseases (CVDs) risk factors to explore their effects on HF. Multivariable MR analysis was used to exclude confounding factors. A two-step MR approach was used to quantify potential mediating effects of CVDs risk factors in the causal relationships between MS and HF.
Results: Individuals with MS had a significantly higher risk of heart failure (HF) and chronic HF. They also had increased waist-to-hip ratio (WHR), trunk fat mass (TFM), and trunk fat percentage (TFP), which further increased their risk of HF. Mediation effects analysis indicated that in the causal effects of MS on HF, WHR contributed 20.79% (95% CI = -1.83% - 43.42%), TFP contributed 19.10% (95% CI = 2.90% - 35.3%), and TFM contributed 25.02% (95% CI = 5.48% - 44.56%).
Conclusion: WHR, TFM, and TFP respectively play considerable independent mediating roles in the causal effects of MS on the risk of developing HF, and it is possible to indirectly reduce the risk of developing HF associated with MS by managing mood and controlling abdominal obesity.
Land Use Classification using Time-Series Sentinel-2 Images with Deep Learning Ensemble Network
Authors: Jagannathan J. , Vadivel M. Thanjai , Divya C. 
Published: September 2024

Abstract

Background
The classification of land use is crucial in terms of urban planning, management as well as environmental monitoring. There are many differences in the class characteristics of land-use types, and it is demanding to accurately recognize each. WPe can use spectral and spatial features which are inherent to the Sentinel-2 images for this purpose.
Objective
The system enables researchers to suggest and compare a novel method of the time-series land use classification from Sentinel-2 images that focuses on temporal adjustments in Katpadi evolving area under Vellore District for 2017-2024.
Problem Statement
However, traditional land use classification methods have certain limitations in recognizing various forms of land cover types aptly through time. However these methods frequently are plagued by problems of accuracy and efficiency, making them less suitable for dynamic environments.
Methodologies
Over time, we apply a deep learning ensemble network for land cover type classification. This method is the one that adds many of spectral and spatial features of Sentinel-2 images to their model. The ensemble derivative network is specialized to capture intricate relationships and patterns among different land cover classes by integrating multiple continuous information in the nested time-series data.
Results/Findings
Using a benchmark, we assessed our approach using actual Sentinel-2 timeseries data. The outcomes of the experiments suggest that the ensemble network that has been suggested can perform better than previous include/exclude models and conventional classification methods. The suggested approach outperforms the most advanced land use classification system currently in use, demonstrating that UDA has great potential as a remote sensing instrument.
Exploration of biomarkers associated with histone lactylation modification in spinal cord injury
Authors: Sun Yisong , Gao Jie , Jing Juehua 
Published: September 2024

Abstract

Background
The biological functions of histone lactylation (HLA) modification-related genes (HLMRGs) in spinal cord injury (SCI) are unknown. Therefore, we explored the expression and molecular mechanism of HLMRGs in SCI by bioinformatics means.
Methods
GSE151371, GSE47681, and 10 HLMRGs were incorporated in this study. Biomarkers were screened based on the receiver operating characteristic curves for the modeling of logistic regression and nomogram. Additionally, gene set enrichment analysis (GSEA) was executed to detect biomarkers’ functions. Samples were clustered based on biomarkers, identifying distinct groups. Differential expressed genes between these clusters were determined, and inter-cluster analyses of Hallmark pathways, HLA genes, and immune functions were conducted. Weighted gene co-expression network analysis (WGCNA) was used to select cluster-related module genes for protein-protein interaction (PPI) network construction, pinpointing key proteins. miRNA-TF-biomarker and drug-biomarker networks were established. Biomarker expression was validated using reverse transcription quantitative polymerase chain reaction (RT-qPCR).
Results
In GSE151371, 8 biomarkers (HDAC1, HDAC2, HDAC3, SIRT1, SIRT3, LDHA, LDHB, and GCN5 (KAT2A)) with AUC > 0.7 were significantly different expressed between SCI and control samples. 8 biomarkers were different expressed in 2 clusters. By differential expression analysis of cluster 1 versus cluster 2, enriched in ‘phosphatidylinositol signaling system’ etc. Finally, a miRNA-TF-biomarker network comprising eight biomarkers were constructed. The expression validation of eight biomarkers by RT-qPCR, LDHA were high expression, while HDAC3 and SIRT3 were low expression in SCI.
Conclusion
In summary, 8 biomarkers playing an important role in SCI were identified, which provided in-depth references for HLMRGs in SCI.
Comparison of laparoscopic lateral suspension and high uterosacral ligament suspension for apical prolapse: a retrospective clinical study
Authors: Yu Ya , Mei Ling , Chen Yueyue , Cui Tao , Wei Dongmei , Niu Xiaoyu 
Published: September 2024

Abstract

Purpose: The aim of this retrospective clinical study is to assess clinical outcomes, patient satisfaction between laparoscopic lateral suspension (LLS) with mesh and laparoscopic high uterosacral ligament suspension (LHUS) for apical prolapse with or without anterior prolapse.
Methods: Patients who underwent LLS with mesh or LHUS from 2019 to 2023 at the Second West China Hospital of Sichuan University were enrolled in this retrospective study. The objective outcomes were evaluated based on the anatomical success rate according to the Pelvic Organ Prolapse Quantification System (POP-Q). The subjective outcomes were assessed using the Pelvic Floor Distress Inventory (PFDI-20) questionnaire, Pelvic Floor Impact Questionnaire (PFIQ-7), Patient Global Impression of Improvement (PGI-I) scores and complications rate. Complications were defined according to the Clavien-Dindo scale. The outcomes of postoperative 3, 6 and 12 months were analyzed retrospectively.
Results: The objective and subjective outcomes indicated improvements in both groups. There was no statistically significant difference between the two groups in the change of subjective outcomes. The short-term objective and subjective outcomes for both techniques were found to be comparable. The anatomical success rate for apical and anterior prolapse was 93.85% in LHUS group, 93.44% in LLS group. LLS demonstrated a superior effect on the degree of postoperative point Ba improvement comparing to LHUS.
Conclusion: LHUS and LLS are effective, safe surgical techniques for apical prolapsed, with or without anterior prolapsed, exhibiting low complication rates and high anatomic curative rates. LLS demonstrated certain advantages over LHUS in anterior improvement and symptom improvement compared to LHUS.
Composite pattern and control in Gierer Meinhardt model
Authors: Li Hua , Xiao Min , Gorbachev Sergey , Cao Jinde , Gómez-Aguilar J. F. 
Published: September 2024

Abstract

This paper comprehensively considers the two-dimensional spatiotemporal dynamics of the Gierer-Meinhardt model, with the cross-diffusion coefficients as bifurcation parameters. Through multiscale analysis, the amplitude equation at the Turing threshold is derived. The paper sequentially analyzes the effects of cross-diffusion coefficients, Proportional-Derivative controller, fractional diffusion orders, and anisotropy on the system’s stability, pattern formations, and evolution speed. Numerical simulations are provided to validate the conclusions.
ATM phosphorylation of CD98HC increases antiporter membrane localization and prevents chronic toxic glutamate accumulation in Ataxia telangiectasia
Authors: Bishop Alexander , Romero July Carolina , Tonapi Sonal , Parihar Manish , Loranc Eva , Miller Henry , Lawrence Liesl , Bassani Nicklas , Robledo Daniel , Cao Lin , Nie Jia , Kanda Kairi , Stoja Aiola , Garcia Natalia , Gorthi Aparna , Stoveken Brian , Lane Andrew , Fan Teresa , Cassel Teresa , Zha Shan , Musi Nicolas 
Published: September 2024

Abstract

Ataxia telangiectasia (A-T) is a rare genetic disorder characterized by neurological defects, immunodeficiency, cancer predisposition, radiosensitivity, decreased blood vessel integrity, and diabetes. ATM, the protein mutated in A-T, responds to DNA damage and oxidative stress, but its functional relationship to the progressive clinical manifestation of A-T is not understood. CD98HC chaperones cystine/glutamate (xc−) and cationic/neutral amino acid (y+L) antiporters to the cell membrane, and CD98HC phosphorylation by ATM accelerates membrane localization to acutely increase amino acid transport. Loss of ATM impacts tissues reliant on SLC family antiporters relevant to A-T phenotypes, such as endothelial cells (telangiectasia) and pancreatic α-cells (fatty liver and diabetes) with toxic glutamate accumulation. Bypassing the antiporters restores intracellular metabolic balance both in ATM-deficient cells and mouse models. These findings provide new insight into the long-known benefits of N-acetyl cysteine to A-T cells beyond oxidative stress through removing excess glutamate by production of glutathione.
Oncomelania lorelindoensis: the intermediate hosts of Sulawesi 's Schistosoma japonicum
Authors: Nelwan Martin L. 
Published: September 2024

Abstract

Background
Oncomelania lorelindoensis is the intermediate host of Sulawesi’s Schistosoma japonicum. Schistosoma japonicum in Sulawesi originated from Anhui Guichi, China. Oncomelania lorelindoensis is one of the species in the genus Oncomelania. In this study, I report a study of Oncomelania lorelindoensis as the intermediate hosts of Sulawesi schistosomiasis japonica, their distributions in Sulawesi, and the control of O. lorelindoensis.
Results
Proto-Oncomelania originated in eastern Indonesia, Sulawesi. It spread to the Philippines, Japan, and China and then gave rise to Oncomelania. It is the intermediate host of Schistosoma japonicum. Five species are found in the genus Oncomelania, namely O. hupensis, O. lorelindoensis (formerly O. hupensis lindoensis), O. minima, O. robertsoni, and O. quadrasi. Further sequencing reveals that O. robertsoni has one subspecies, i.e., O. robertsoni robertsoni. Oncomelania lorelindoensis occurs in and around Lore Lindu National Park: the Bada Valley, the Lindu Valley, and the Napu Valley, Central Sulawesi. It may have occurred in the Kulawi Valley and the Palu Valley, Sigi Regence, Central Sulawesi Province. Control of O. lorelindoensis can use mechanic techniques, molluskicides, and genetic manipulation techniques.
Conclusions
Oncomelania lorelindoensis is found in Central Sulawesi, Indonesia. It occurs in the Bada Valley and the Napu Valley of Poso Regence and the Lindu Valley of Sigi Regence. It may also have occurred in other regions around Lore Lindu National Park. The intermediate host of Sulawesi S. japonicum is O. lorelindoensis. Subspecies in O. robertsoni should be named O. robertsoni robertsoni.
Assessment of the Quality of Groundwater Sources From Karu and New Nyanya, Nasarawa State, Nigeria
Authors: Nneka Oyaka Blessing 
Published: September 2024

Abstract

The quality of underground water sources from Karu and New Nyanya was assessed to ascertain the suitability for domestic use. Physicochemical parameters; pH, Conductivity, TDS, DO, Turbidity, TH, Chloride, Nitrate and Sulphate were determined using standard methods and the metals; Copper, Lead, Zinc, Iron, Chromium and Cadmium were determined using Atomic Absorption Spectrometric method. The result obtained showed that pH, Conductivity, TDS, DO, Turbidity TH, Chloride, Nitrate and Sulphate were (6.25 ±0.21 mg/L), (462.00±2.83 mg/L) (277.00±2.83 mg/L), (5.20±0.14 mg/L), (0.00±0.00 NTU), (62.09±1.54 mg/L), (0.01±0.01 NTU), (15.00±0.95 mg/L) and ND for borehole and (6.75±0.21 mg/L), (221.00±2.83 mg/L), 130.60±0.85 mg/L), (3.80±0.00 mg/L), (14.43±0.66 NTU), (42.94±0.76), ND, (3.50±0.92 mg/L), and ND for well water in Karu. For Nyanya (6.65±0.21 mg/L), (421.00±2.21 mg/L), (254.00±2.21), (3.50±0.14 mg/L), (0.00±0.00 NTU), (2.32±0.13 mg/L), ND, (2.90±0.85 mg/L), and ND for borehole and (6.50±0.14 mg/L), (75.50±2.12 mg/L), (282.00±2.83 mg/L), (3.83±0.03 mg/L), (17.43±0.66 NTU), (1.73±0.33 mg/L), ND, (0.10±0.01 mg/L), (5.00±0.75 mg/L) for well. For metals; Cooper Lead, Zinc, Iron, Chromium and Cadmium (0.27±0.03 mg/L), (0.34±0.05 mg/L), (4.32±0.32 mg/L), (0.05±0.02 mg/L), (0.56±0.05 mg/L), (0.96±0.01 mg/L) for borehole and (0.41±0.02 mg/L), (0.94±0.05 mg/L), (0.62±0.02 mg/L), (2. 27±0.38 mg/L), (0.05±0.02 mg/L), (1.16±0.22 mg/L) for well in Karu. For Nyanya (0.26±0.02 mg/L), (0.64±0.02 mg/L), (0.51±0.00 mg/L), (2.31±0.44 mg/L), (0.06±0.03 mg/L), (0.94±0.01 mg/L) for borehole and (0.37±0.04 mg/L), (0.63±0.01 mg/L), (0.46±0.02 mg/L), (3.04±0.06 mg/L), (0.06±0.03 mg/L), (0.71±0.01 mg/L) for well water. For physicochemical parameters; pH, Conductivity, TDS, DO, TH and Nitrate are within WHO and NSDWQ standards for both water samples in the two locations while Turbidity is higher (14.43±0.66 - 17.43±0.66 NTU) for wells. Chloride has (0.01±0.01 mg/L) in borehole water from Karu. Sulphate has (5.00±0.75mg/L) in well water from Nyanya. For metals, the concentration for both water samples from the two locations are higher except for Copper and Iron (0.26±0.02 - 0. 41±0.02 mg/L) and (0.46±0.02 - 0.62±0.02 mg/L) which are within WHO and NSDWQ standards. The water samples are polluted by some contaminants that are higher than the standards. It is therefore recommended that the water be treated before use.
An Enhanced Self-Organizing Genetic Algorithm for Optimizing Path in Container Transportation Routing under Time Windows
Authors: Yves Ndikuriyo , Zhang Yinggui , Fomb Dung Davou 
Published: September 2024

Abstract

International trade and economic development of a region are basically facilitated by efficient container transport planning. To determine optimal routes considering different factors such as distance, cost, and time, this study combines mixed integer linear programming and enhanced Self-Organizing Genetic Algorithms (SOGA) along with Dijkstra's Algorithm. A case study examining transport from Dar es Salaam (Tanzania) to Bujumbura (Burundi), illustrates the model's potential to deliver substantial cost savings and improved delivery times. Policymakers and logistics managers can benefit greatly from these findings, which highlight the significance of multimodal transport options in increasing the effectiveness and sustainability of container logistics within the East African Community. Consequently, more aspects such as the effects on the environment, the state of the roads, and seasonal fluctuations should be taken into account in future studies.
Assessing the effect of rating curve uncertainty in streamflow simulation on Kulfo watershed, Southern Ethiopia
Authors: Bekele Mena Nahom , Ayele Elias Gebeyehu , Chora Henok Gubula , Dada Teka Tadesse 
Published: September 2024

ABSTRACT

Accurate streamflow simulation and comprehending its associated uncertainty are crucial for effective water resource management. However, the uncertainty of rating curves from which streamflow data is derived remains poorly understood. This study aims to simulate streamflow under rating curve uncertainty conditions. The bootstrap resampling technique (BSRT) was used to establish the rating curve and estimate associated uncertainty. Furthermore, it integrated with standalone and hybrid models (GRU, Bi-LSTM, and Conv1D-LSTM), to assess the effect of this uncertainty on streamflow simulation. Different lag times of rainfall and discharge are used as input for DL streamflow simulation models. Despite the complexity, the Conv1D-LSTM model did not outperform the Bi-LSTM model. However, it slightly outperforms the GRU model. Moreover, the rating curve uncertainty significantly propagates to streamflow simulation, particularly in high-flow regions. Consequently, the uncertainties related to rating curves on the Kulfo River led to a streamflow uncertainty of about 17.8 m3 s−1, representing 22% at peak discharge. The performance of the DL models was evaluated using different metrics (RMSE, MAE, NSE, and R2). The findings underscore the importance of considering rating curve uncertainty in streamflow simulation to enhance water resource management practices and support informed decision-making in the study area.
Application of coupled WetSpass-M and MODFLOW models to estimate spatial–temporal water balance components in the Chemoga watershed, Ethiopia
Authors: Mulie Asrade Tadie 
Published: September 2024

ABSTRACT
The groundwater level in the Chemoga watershed has been declining due to an increase in water demand, anthropogenic activities, and climate change effects. This paper uses the WetSpass-MODFLOW coupling to evaluate the groundwater recharge in the Chemoga watershed. The MODFLOW groundwater flow simulation model is then used to simulate the hydraulic head distribution based on these findings. The input data of WetSpass models are soil, land cover, topography, slope, and groundwater depth, as well as monthly meteorological characteristics (such as temperature, wind speed, and rainfall). The long-term spatial and temporal average annual precipitation of 1,453 mm is distributed as 169 mm (11.63%) groundwater recharge and 879 mm (60.5%) surface runoff, while 405 mm (27.87%) is lost through evapotranspiration. In such seasonal variations, the groundwater head due to the wet/summer stress period varied from 4 to 41 m. While in the dry/winter stress period groundwater head varied from 3.5 to 39.8 m, and also the groundwater head due to the annual stress period varied from 3.7 to 40 m. The findings are extensive and can be applied to water resource management and groundwater resource development in a sustainable manner by safeguarding high groundwater recharge locations, and reevaluating allowable groundwater abstraction rates.