bluuebunny/crossref_metadata_2025_split huggingface dataset:
Role of cellular senescence genes and Immune Infiltration in sepsis and sepsis-induced ARDS based on bioinformatics analysis
Authors: Wu Xiaoling , Guo Yanan 
Published: June 2024

Abstract

Introduction
: Sepsis is the leading cause of death in critically ill patients resulting in multi-organ dysfunction, including acute respiratory distress syndrome (ARDS). Our study was conducted to determin the role of cellular senescence genes and Immune Infiltration in sepsis and sepsis-induced ARDS using bioinformatics analyses.
Experimental Procedures
: The GSE66890 and GSE145227 datasets were obtained from the Gene Expression Omnibus (GEO) database and utilized for bioinformatics analyses. Gene Ontology (GO) terms and the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of DEGs was performed to identify the key functional modules. Two machine learning algorithms, least absolute shrinkage, and selection operator (LASSO) and support vector machine–recursive feature elimination (SVM-RFE) were utilized for screening characteristic genes among sepsis and sepsis-induced ARDS. ROC curves were generated to evaluate the prediction ability of hub genes. The difference of immune infiltration level between disease and control groups was compared via ssGSEA. The diagnostic value of hub genes were verified using quantitative PCR (qPCR) in our hospital patients.
Results
Four characteristic genes (ATM, CCNB1, CCNA1, and E2F2) were identifified as the biomarker involved in the progression of sepsis-induced ARDS. And E2F2 has the highest prediction ability to predict the occurrence of ARDS from sepsis patients. CD56bright tural killer cell and Plasmacytoid dendritic cell were highly infiltrated in sepsis-induced ARDS group while Eosinophil, MDSC, Macrophage, and Neutrophil was lowly infiltrated. In addition, lower expression levels of ATM gene were observed in sepsis patients than non- sepsis patients (n = 6).
Conclusion
Sepsis-induced ARDS was correlated with circulating immune responses, and the expression of ATM, CCNB1, CCNA1, and E2F2 might be potential diagnostic biomarkers as well as therapeutic target in sepsis-induced ARDS.
Research on mechanism of anti-icing of polar ships based on ultrasonic vibration
Authors: Hua Shi , Wang Youxiang , Zhang Jian 
Published: June 2024

Abstract

The present study focuses on the development and design of an electric absorption ultrasonic vibrator based on the mechanism of ultrasonic vibration deicing. It investigates the application of ultrasonic vibration deicing technology in polar ships, which exhibits high deicing efficiency, noise-free operation, small amplitude, and low energy consumption. By combining numerical simulation with anti-deicing experiments, this research examines the anti-deicing effect of polar ship hull steel plates under 11 different working conditions involving identical frequency or power but varying quantities and forms of vibration. The influences of ultrasonic vibrator arrangement, quantity, frequency, and power on ship surface vibration displacement and ice cracking time are revealed to explore the optimal vibration formation that aligns with polar ship characteristics for achieving superior anti-ice effects. This study aims to ensure the normal navigation of ships in the polar environment, prepare for the research of ship anti-icing in the future polar sea war, and lay the theoretical and experimental foundation for the application of ultrasonic vibration de-icing technology in the field of ship anti-de-icing.
Teambuilding intervention in multi-speciality primary healthcare providers in Pakistan: Results of a sequential mixed methods approach
Authors: Jafree Sara Rizvi , Ahsan Humna , Zakar Rubeena , Muzamill Anam , Burhan Syeda Khadija , Khan Bushra Asif Ali , Momina Ain ul , Fischer Florian 
Published: June 2024

Abstract

Background: Pakistan’s primary health services have a sound infrastructure but remain ineffective in serving the needs of the nation. A significant area of concern is the lack of support to improve teambuilding of the multi-speciality primary healthcare providers (HCP). This study had two phases: First, to deliver a teambuilding intervention using a pre-post-test design, and second, to collect qualitative data about barriers to teambuilding.
Methods: A total of 42 multi-speciality HCPs from 12 basic health units and 5 rural health centres of Punjab, Pakistan, were part of the teambuilding intervention. We conducted a sequential mixed methods approach, with a quantitative pre-post-test analysis and interviews with 34 HCPs at follow-up qualitative phase.
Results: Mean analysis at post-test revealed improved teambuilding skills for coordinating patient care plans (z=2.881, p=0.004), and skills for conflict management (z=3.468, p=0.001). HCPs above the age of 30 years and with ≥6 years of service show improvement post intervention in teambuilding skills for collaborating about resources and referrals and conflict management, suggesting that younger and less experienced HCPs need more regular training support. The qualitative data highlighted 11 barriers which prevented optimal teambuilding, falling under broad areas of: (i) system issues, (ii) behavioural and service problems, and (iii) management limitations. We conclude with eight holistic recommendations to secure optimal teamwork, and argue that apart from continued training, there is need to: increase budget allocation; develop integrated care plans; strengthen the referral system; add providers to the team for non-maternal health services; fund joint research of providers; introduce third-party supervision and accountability; and introduce a human resource department.
Conclusions: Our study is one of the few studies that attempt to address teamwork issues in primary healthcare teams of the country, showing the benefits and limitations of an interprofessional teambuilding intervention. We conclude that a holistic approach is needed to improve teamwork in the primary-level multi-speciality providers.
Trial registration: NCT05389501
The Effectiveness and Safety of Transabdominal Oocyte Pick-up Using a Vaginal Ultrasound Probe in Patients with Endometrioma Undergoing Oocyte Cryopreservation
Authors: Sönmezer Meltem , Şükür Yavuz Emre , Turan Volkan , Akgün Nilüfer , Saçıntı Koray Görkem , Alimoğulları Ebru , Aslan Batuhan , Özmen Batuhan , Atabekoğlu Cem , Berker Bülent , Sönmezer Murat 
Published: June 2024

Abstract

Background
This retrospective cohort study aimed to assess the safety and effectiveness of transabdominal oocyte pick-up using a vaginal ultrasound probe in single women with endometrioma undergoing oocyte cryopreservation (OC).
Methods
Twenty single women with endometrioma who underwent transabdominal oocyte pick-up using a vaginal ultrasound probe for the purpose of oocyte cryopreservation were included. Primary outcome measures were number of oocytes retrieved, mature oocytes frozen, a modified follicle to oocyte index (FOI), and complication rates.
Results
The mean age of patients was 33.1±5.8, mean diameter of the endometrioma was 57.9±33.7 mm, mean antral follicle count was 6.3±3.4, mean serum AMH was 0.78±0.55 ng/ml, and mean day 3 serum FSH and estradiol were 9.2±2.3 IU/ml and 57.8±36.5 pg/ml, respectively. The mean duration of stimulation was 9.7±2.3 days, total gonadotropin consumption was 2195±909 units, and duration of the procedure was 9.9±4.2 min. The mean number of oocytes retrieved, MII oocytes frozen, and mFOI were 6.1±3.6, 4.8±2.9, 0.93±0.19 respectively.
Conclusions
Endometrioma was ruptured in four patients, and only one patient was temporarily hospitalized for six hours for severe pelvic pain. Transabdominal oocyte retrieval using a vaginal probe is safe and effective technique in patients with endometrioma undergoing OC.
Rapid detection of acids and esters in Baijiu by Fourier transform infrared spectroscopy with difference spectroscopy
Authors: Guo Yixuan , Wang Zhiqiang , Zhang Ruiting , Ma Lin , Lin Ke 
Published: June 2024

Abstract

Acids and esters are the main aromatic compounds in Baijiu. These compounds affect primarily the flavor and quality of Baijiu. The detection of these compounds is important for the control of Baijiu. Although FTIR spectroscopy has gradually been used to detect Baijiu in recent years, this technology has not been directly employed to measure the infrared spectra of acids and esters in Baijiu. In this paper, a novel FTIR difference spectroscopy is proposed to extract the infrared spectra of acids and esters in Baijiu. This difference spectrum is mainly obtained by subtracting the FTIR spectra of aqueous ethanol from that of Baijiu. The FTIR spectra of some kinds of Baijiu were measured, and the infrared spectra of acids and esters in Baijiu were obtained. The flavor of Baijiu can be distinguished through the difference spectra. Since the acquisition of FTIR spectra only takes less than one minute, this FTIR difference spectrum can be developed as a quick control method for Baijiu.
A study on comparison of various machine learning models for the best prediction of 305 days first lactation milk yield
Authors: FRAZ NAYLA , SHAHI B. N. , BARWAL R. S. , GHOSH A. K. , SINGH C. V. , KUMAR PANKAJ 
Published: June 2024

Abstract

Machine learning models can be used in dairy industries for the prediction of milk yield in dairy cattle to increase the efficiency of dairy farms and early culling of animals based on 305 days milk yield. Analysis and evaluation of the performances of Multiple linear regression (MLR), Random forest (RF), Gradient boosting regression (GBR), Extreme gradient boosting (XGboost) and Light gradient boosting (lightGBM) were done on the basis of root mean square errors (RMSE) and coefficient of determination (R2) values. The values of RMSE for MLR, RF, GBR, XGboost and lightGBM for the training period were 478.82, 176.52, 229.65, 271.44 and 214.97 and for the testing period were 469.02, 267.13, 288.10, 338.36 and 293.80, respectively. Similarly, the values of R2 for the training period were 0.76, 0.92, 0.86, 0.81 and 0.88 and for the testing period were 0.55, 0.85, 0.82, 0.76 and 0.82, respectively. The results obtained suggested that the accuracy and precision of RF, LightGBM, GBR and XGboost models were adequate in predicting first lactation 305 days milk yield, but the best results were obtained by RF in both training and testing period; it outperformed other regression models in predicting first lactation 305 days milk yield. Further, an increase in accuracy and precision can be done by increasing the number of independent variables with a high correlation with the dependent variable and by also increasing the number of observations.
Abscisic Acid rescues behavior in adult female mice in Attention Deficit Disorder with Hyperactivity model of dopamine depletion by regulating microglia and increasing Vesicular GABA Transporter expression
Authors: Meseguer-Beltrán Maria , Sánchez-Sarasúa Sandra , Kerekes Nóra , Landry Marc , Real-López Matías , Sánchez-Pérez Ana María 
Published: June 2024

Abstract

Background: Attention deficit/hyperactivity disorder (ADHD) is a neurodevelopmental syndrome influenced by both genetic and environmental factors. While genetic studies have highlighted catecholamine dysfunction, emerging epidemiological evidence suggest neuroinflammation as a significant trigger. However, understanding the relative contributions of these alterations to ADHD symptomatology remains elusive.
Method: This study employed 93 female Swiss mice of the ADHD dopamine deficit model. Dopaminergic lesions were induced via 6-hydroxidopamine (6-OHDA) injection on postnatal day 5. The impact of these lesions during development was examined by comparing young and adult mice (at postnatal day 21 and 90, respectively). We sought to mitigate adult symptoms through abscisic acid (ABA) administration during two-months. Postmortem analyses encompassed the evaluation of neuroinflammation (microglia morphology, NLRP3 inflammasome activation, cytokine expression) and excitatory/inhibitory (E/I) ratio in specific brain regions.
Results: Neonatal dopaminergic lesions elicited hyperactivity, impulsivity, increased social interaction in both young and adult females and lesion induce impaired memory in adults. ABA exposure significantly ameliorated hyperactivity, impulsivity, anxiety, hypersensitivity, and social interaction alterations, but not cognitive impairment in adults. In the anterior cingulate cortex (ACC) of young mice dopamine-deficit induced microglia morphology alterations, elevated IL-1β and TNFa expression and reduced Arg1 mRNA levels, along with E/I imbalance. ABA intervention restored microglia morphology, IL-1β expression and enhanced vGAT levels.
Conclusions: This study strongly suggest that dopamine deficit induced alteration of microglia and E/I ratio underling distinct ADHD symptoms. Reinstating healthy microglia by anti-inflammatory agents in specific areas emerges as a promising strategy for managing ADHD.
Peritonitis of small bowel with perforated Meckel diverticulum by inadvertently fish bone: A Case report and Literature Review
Authors: Faiz Shabnam , Luo Fuwen , guan Guoxin , meng meng , xingming liu 
Published: June 2024

Abstract

Introduction: Meckel diverticulum is the most common congenital abnormality of the gastrointestinal tract. Foreign body-induced perforation of Meckel diverticulum is extremely rare, with challenging consequences in adults. Case presentation: A 20 years old young boy presented to our department with a three days history of severe abdominal colicky pain of sudden onset. There were also associated symptoms of nausea, and vomiting. On physical examination his abdomen was distended with rebound tenderness. His blood investigation showed raised C reactive protein level with inflammatory markers. CT scan revealed signs of exudation of surrounding fat space. The initial diagnosis was diffuse peritonitis with gastrointestinal perforation by a foreign body, so the patient underwent diagnostic laparoscopy. Findings included a needle-shaped white foreign body about 2.5 cm in length with an edematous hyperemic small intestine that was covered with pus, and adherent to the pelvic cavity. Laparoscopic surgery was converted to open laparotomy surgery. A foreign body was removed and confirmed as a fishbone. Partial resection of ileum, and perforated diverticulum with side-to-side anastomosis done. The patient was discharged 7 days postoperatively. Discussion: perforation of the gastrointestinal tract by a fish bone foreign body is not a common event in the clinical setting. Unfortunately, with the incomplete patient history, it is usually misdiagnosed as with acute appendicitis or other pathologies. CT scan can be a useful modality to diagnose foreign bodies, however, the sensitivity is low to detect complications that occur by fish bone ingestion. Conclusion: Preoperative diagnosis of perforated Meckel diverticulum by fish bone is really rare and difficult. The management of perforated diverticulum by fish bone on time can really reduce the rate of morbidity and immortality. It should be also included in the differential diagnosis of acute abdomen in young people.
Infrared and visible image fusion network based on low-light image enhancement and attention mechanism
Authors: Lu Jinbo , Pei Zhen , Chen Jinling , Tan Kunyu , Ran Qi , Wang Hongyan 
Published: June 2024

Abstract

The purpose of infrared and visible image fusion is to combine the information of different spectral imaging to improve the visual effect and information richness of the image. However, the visible images collected by the existing public datasets are often dim, and the fused images cannot fully depict the texture details and structure in the visible images. Moreover, most deep learning-based methods fail to consider the global information of input feature maps during the convolutional layer feature extraction process, which leads to additional information loss. To address these issues, this paper proposes an auto-encoder network that integrates low-light image enhancement with an adaptive global attention mechanism. First, a sharpening-smoothing balance model for low-light image enhancement is designed based on the Retinex model. Enhance the structure, texture, and contrast information of low-light images by adjusting the balance index of the model. Then, an adaptive global attention block is added to the auto-encoder network, which enhances features with important information by adaptively learning the weights of each channel in the input feature map, thereby improving the network's feature expression capabilities. Finally, in the fusion part of the auto-encoder network, a deep spatial attention fusion block is proposed to maintain the texture details in the visible image and highlight the thermal target information in the infrared image. Our experiments are validated on MSRS, LLVIP, and TNO datasets. Both qualitative and quantitative analyses demonstrated that our method achieved superior comprehensive performance compared to the state-of-the-art image fusion algorithms of recent years.
Two Dimensional Numerical Groundwater Flow Modelling Of the Megech River Catchment,Ethiopia
Authors: Getaneh Amare 
Published: June 2024

Abstract

Catchment is found in the Amhara Regional State, North Gondar Administrative Zone, Gondar town and surrounding Keble River catchment. Its total area coverage is 785 km2 , and the main lithologic units of lacustrine deposits are the Middle Basalt (Aiba) and the Upper basalt (Alajie). Numerical groundwater flow modeling of the Megech River catchment, Tana Sub Basin, is conducted with the objective of simulating the groundwater flow system of the area and evaluating the response of the hydrogeological system under different stresses so that the resulting consequences for the system can be estimated. The calibrated statistics of the model area showed a mean error (ME) of 4.8, absolute mean error (AME) of 4.9, and root mean square error (RMSE) of 6.8, which are indicators of good calibration. The sensitive parameters of the model were identified during the calibration process. Therefore, the RMSE is more sensitive to hydraulic conductivity and recharge than to river conductance. The simulated water budget under steady -state conditions in the Megech River catchment was analysed. The simulated inflow of the model is 1.0703551E+06 m3/day, which is equal to the simulated outflow of 1.0703559E+06 m3/day, with a difference of -7.9617882E-01(-0.79617882) m3/day. The total withdrawal of groundwater from the Megech catchment in the well is 1.78853E+04 m3/day. A scenario analysis was conducted for decreasing recharge and increasing withdrawal rates.
Understanding historical invasive pest dynamics using a novel data rescue protocol.
Authors: O'Donnell Ultan , McGee Conor Francis , Bourke Andy , Yearsley Jon 
Published: June 2024

Abstract

Long-term historical data on the presence of invasive pests can inform current pest management. By examining correlations between shifts in pest occurrences and various potential drivers, we can better inform decision-making and management strategies. However, the availability of such long-term data is often limited. We introduce a data rescue protocol to recover difficult-to-access pest information from periodical documents such as annual forestry health reports. We applied this to annual forestry reports on the island of Ireland from 1970-2020. This protocol resulted in an open-access dataset of pest dynamics and their management for the island. We combined the pest dataset with auxiliary weather data to estimate the effects of surveying effort, control measures and weather upon pest outbreak dynamics. Two first-order auto-logistic regression models were used to model rates of introduction and rates of eradication in an insect model and a bacteria, chromista and fungi model. The results provide evidence that multi-year systematic surveillance efforts have diminishing returns for estimating the rate of introduction, and surveillance effort requirements differ between specific pest groups. Control measures had a minor positive effect on the rate of local pest eradication, with high variation in the data. Our methodology for data collection and analysis serves as a blueprint for other regions of the world and other invasive species assemblages where data is physically available but not ready for analysis.
Rhabdomyolysis with Aseptic Meningitis due to Viral Illness in a Young HIV+ patient: Case Report
Authors: Kaur Mandeep , Ketsela Gizatchew 
Published: June 2024

Abstract

This case report describes a unique instance of atraumatic rhabdomyolysis occurring in a patient with viral meningitis and a pre-existing Human Immunodeficiency Virus (HIV) infection. The patient was diagnosed with acute viral meningitis and also experienced acute renal failure, but fortunately had a positive outcome due to prompt testing, implementation of preventive measures, and aggressive treatment. Maintaining a high level of suspicion is crucial in order to prevent further complications and potential mortality
Spatiotemporal recharge estimation in the upper Awash sub-basin, central Ethiopia
Authors: Woldu Tsnat Tsegay , Ayenew Tenalem , Baychken Belete , Birhanu Behailu 
Published: June 2024

ABSTRACT

Sustainable groundwater management decisions require an understanding of the spatial distribution and seasonal fluctuations of site-specific water budget computations. This study aims to estimate the spatiotemporal distribution of recharge in the upper Awash sub-basin where the groundwater is experiencing intensive abstraction for domestic, industrial, and irrigation water uses. We estimated the spatial and long-term average monthly, seasonal, and annual groundwater recharge using a GIS-based spatially distributed water balance WetSpass-M model. Distributed grid maps of physical parameters (land-use land cover, soil, and slope) and monthly climatological records (rainfall, maximum and minimum temperature, wind speed) were used as model inputs. The WetSpass-M model estimated recharge is validated with the independently computed recharge using the automated digital filtering baseflow separation method. Attributed mainly to variability in soil texture and land use, the annual precipitation (1,032 mm) is distributed as evapotranspiration (45%), surface runoff (42%), and groundwater recharge (11%). Forest and grass areas with loamy sand have high recharge, while built-up areas with clay soil have low recharge. August to September is estimated to have the largest recharge, while November to December has the lowest. Understanding the spatial and seasonal variability of groundwater recharge is important for sustainable utilization, proper management, and planning of groundwater resources.