bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Improved Continuum Approach for Unconsolidated Formations on the Field Scale
Authors: Liu Bailong , Ito Takatoshi 
Published: April 2024

Summary
With the development of unconventional resources, such as oil sands and methane hydrate reservoirs, the importance of the mechanical performance model for underground unconsolidated rocks has increased significantly. The commonly used numerical approach for unconsolidated rocks is the discrete-element method (DEM). However, the extensive calculations required by the DEM make it inadequate for simulating unconsolidated rock behavior on a field scale. An alternative is the continuum approach, used to simulate the behavior of unconsolidated rocks on the field scale. In previous continuum approaches, unconsolidated rocks have been modeled as a visco-plastic fluid (i.e., Bingham fluid). The continuum approach based on visco-plastic fluid uses pressure (scalar) to describe the stress state of the particles. However, this approach does not account for the difference between the maximum and minimum principal stresses of the in-situ stress field when simulating the mechanical performance of unconsolidated rocks. Here, we developed an improved continuum approach for unconsolidated rocks and used the finite-element method as a numerical approach. Our improved model can consider the difference between the maximum and minimum principal stresses of the in-situ stress field and the pore pressure of the unconsolidated formation. We validated our numerical model with the angle of repose test, a benchmark problem for unconsolidated rocks. The validation results confirm the accuracy of our unconsolidated model. For the coupled model between the unconsolidated model and the flow model, we used an analytical solution to verify its reliability. Unconsolidated rock performances in an unconsolidated reservoir with fluid injection have been investigated based on our coupled model. The simulation results show that injection can activate the movement of unconsolidated rock particles, leading to changes in the distribution of effective stress and permeability. Our model has the potential to address large-scale unconsolidated rock issues and contribute to energy extraction.
Evaluating Source, Scale Risk, and Corrosion Risk of the Produced Water Samples from the Appalachian Basin Based on a Geochemical Database
Authors: Dai Zhaoyi , Zhang Jiahe , Yuan Huiying , Liu Huanyu , Zhang Kui , Xie Shucheng 
Published: April 2024

Summary
Statistically, oil and gas production can generate up to 20 times the oil equivalent of produced water. The composition of produced water samples reflects its source, its interactions with reservoir rocks, and downhole (DH) facilities, which are critical for basin evolution, water source determination, and the monitoring, management, and optimization of oil and gas production. For example, scale and corrosion, two of the most severe flow assurance issues accompanied by produced water, can lead to billions of dollars lost every year. However, few studies have developed a standard protocol to extract such valuable information from produced water compositions due to a lack of data and professional models. Using produced water geochemical data from the Appalachian Basin, one of the largest natural gas producers in the US, from the United States Geological Survey (USGS) Produced Waters Geochemical Database (PWGD), we developed a standard protocol to investigate the produced water source, evolution history, and scale and corrosion risks under both DH and surface conditions by means of incorporating the professional models for water-rock interaction and corrosion. The results show that the produced water from the Appalachian Basin possibly evolves from seawater evaporation following a typical evolution pattern of ion concentration and water isotopes, while a group of time-elapsed samples indicates that such an evolution pattern can also be due to the mixture of the injected water and reservoir water. In addition, most produced water samples show obvious risks of mineral scaling (e.g., calcite, barite, and siderite) and CO2 corrosion with corresponding mitigation strategies recommended. This study not only developed a reliable data processing and analysis protocol but also showed the valuable information a systematic analysis of produced water samples can provide for actual oil and gas production.
Knowledge, Precautionary, Mental Health Status During the Stabilization Stage of the COVID-19 Pandemic Among the University Students in Guangzhou, China
Authors: Cheang Chonin , Chan Wengtong , Wang Xiaona , Xia Sujian 
Published: April 2024

Abstract
Objectives: The aim of this study was to survey the part of the university students in Guangzhou, China to better understand their levels of anxiety and common mental disorders (CMD) during the stabilization stage of the COVID-19 pandemic.
Methods: An online survey was conducted from November 1 to 12, 2021, utilizing a convenience sampling strategy. It gathered demographic information, health status, COVID-19-related circumstances, degrees of knowledge, preventative actions, and COVID-19-related concerns. Mental health self-assessment tools were distributed online via WeChat and other social media platforms. The impact on mental health was assessed using the Self-Reporting Questionnaire (SRQ-20) and the Coronavirus Anxiety Scale (CAS), evaluating the mental health of university students in Guangzhou. The outcome indicator was the rate of positive detection.
Results: The study included 2,010 respondents. Of these, 12.1% reported symptoms of anxiety, while 22.6% reported symptoms of CMD. Higher risks of mental disorders were significantly associated with being older, male, participating in online classes, attending national non-key universities, being unvaccinated, and personal or family history of COVID-19 diagnosis. Additional risk factors included nearby confirmed COVID-19 cases, COVID-19 related worries, and lower levels of COVID-19 knowledge and precautionary measures (all odds ratios [OR] > 1.20, p < 0.05).
EpilConNet: A Novel Multi-Class Epileptic Seizure Classification Model through Layer Concatenation
Authors: Ghosh Sudip , _ Deepti , Gupta Shivam 
Published: April 2024

Abstract
Epilepsy is a neurological disorder characterized by recurrent seizures, which can affect individuals of all age groups, but infants and older individuals are particularly vulnerable. Sudden epileptic attacks can pose significant risks and be life-threatening, impacting the overall quality of life of affected individuals. With the progress made in medical science, Electroencephalography (EEG) has emerged as a valuable tool for diagnosing and predicting seizure occurrences. The availability of wearable EEG devices, including caps and helmets, has become increasingly prominent in the market. As a result, there has been a recent surge in the development of deep learning-based systems. These systems are helpful for diagnosis in hospital settings and for mobile applications that provide timely warnings and predictions regarding seizure onset. Most of the existing state-of-the-art (SOTA) approaches focus on distinguishing between healthy and epileptic patients. Some studies categorize individuals into three classes: healthy, experiencing the onset of a seizure, or currently having a seizure, specifically focusing on mobile applications. However, limited literature is available on the five-class problem, which is valuable for localization and diagnosis in hospitals and mobile applications. In this regard, we propose our novel model, named EpilConNet, and conduct extensive experiments on a real-world dataset to demonstrate its efficacy in all modes of classification. EpilConNet results in a significant increase of 4% in accuracy in five-class classification.
The Virtual Bonds: Unveiling the Influence of Social Networking Sites on College Students
Authors: ALI SHAHEEN EFRAH 
Published: April 2024

Abstract
Purpose –The purpose of this study is to gain insights into students' usage, purpose, and behavior regarding social media, investigate the relationship between social media use and academic performance, and explore the average time spent by students on social media.
Research Methodology–The study employed a descriptive research design, convenience sampling to gather data from 100 college students in Bareilly District, Uttar Pradesh. Primary data was collected through a structured questionnaire, and analysis was conducted using MS Excel with the frequency and percentage method.
Findings –The study found that most surveyed students, especially those aged 18-21, primarily used social media for chatting and studying. The study also identified potential drawbacks of social media, including time consumption and the risk of cyberbullying.
Research limitations/implications –One limitation of this study is the reliance on self-reported data may be subject to response bias which may affect the generalizability of the findings.
Practical implications –The insights provided by this study can inform educational institutions and policymakers about the impact of social networking sites on college students.
Originality/value –This study provides original insights into their social media behavior, the relationship between social media use & academic performance and the average time spent on social media.
A Case Study on Working Condition of Brick Kiln Workers of Rohilkhand region, U.P, India
Authors: Ali Shaheen Efrah 
Published: April 2024

Abstract
The Socioeconomic condition of workers is adversely affected due to the poor working condition and Worker’s Harassment by Contractor. In recent years, there has been a shortage of workforce as the younger generation no longer wants to be linked with the brick kiln sector. They are not getting proper workplace environment and Workplace Harassment takes place due to labour bondage condition of labour between Brick kiln owner & Contractor. Thus, it’s important to analyze the working Condition of brick kiln industry workers. The study brings out the reality of the workers of brick kiln, their vulnerability, migration issues, social insecurity, potential health risks, & the hazardous atmosphere that they thrive in their day-to-day lives. Primary data was collected with help of face to face interview schedule from the different 6 brick kiln of Rohilkhand region, U.P. India.(n = 320). For Analysis of data, Descriptive statistics (frequency and percentage) and Chi-Square test were used. The study revealed that the majority of the workers are male respondents at the brick kiln with low education level & facing major health issues. The majority of the workers claimed that they didn’t get proper sanitation (84.3%) and drinking water (68.7%) and facing Wages Harassment by Contractor at workplace (71.8%).
Intravitreal ranibizumab in aggressive retinopathy of prematurity compared with type 1 retinopathy of prematurity in Egyptian preterm infants (non-randomized clinical trial)
Authors: Tawfik Ghada , Shahein Ezzat , Dabour Sherif , Hassanein Dina , Elshewy Ahmed 
Published: April 2024

Abstract

Purpose: To assess the efficacy of intravitreal ranibizumab (IVR) monotherapy in type 1 retinopathy of prematurity compared to aggressive retinopathy of prematurity (A-ROP) in Egyptian preterm infants.
Methods: A-ROP group included 18 eyes of 15 infants and type 1 ROP group included 19 eyes of 15 infants who were recruited between November 2020 and November 2022. Both groups received IVR. Rescue IVR injection was given for reactivation. Outcome measures included regression achieved by single or multiple injections, recurrence of ROP, retinal vascularization time, need for laser photocoagulation and complications. Mean follow-up duration was 11.44 and 13.95 months for A-ROP and type 1 ROP groups, respectively.
Results: Regression of ROP by single injection at 55 weeks’ PMA was achieved in 11/18 eyes (61.1 %) in A-ROP and 19/19 eyes (100%) in type 1 ROP group (P= 0.003). 4 /18 eyes (22.2%) in the A-ROP group developed late reactivation which necessitated rescue injection. Vascularization reached zone III in 9/18 eyes (50%) at 52.59 ± 3.89 weeks' PMA in A-ROP group, and all eyes in type 1 ROP group (P < 0.001). Indirect laser photocoagulation on peripheral avascular retina was done in 5/18 eyes (27.8 %) in A-ROP group at mean of 59.2 weeks' PMA (P=0.008). No laser was needed in type 1 ROP.
Conclusion: Ranibizumab has proved to be effective regarding prompt initial regression of active ROP in type 1 ROP and A-ROP. Higher proportion of reactivation and rescue injection was significantly detected in A-ROP group than type 1 ROP group.
Trial registration number NCT05701124
Analyzing Attempt and Success Factors for Amputated Digit Replantation in Japan Using the Diagnosis Procedure Combination Database
Authors: Hamada Daishi , Suzuki Hitoshi , Muramatsu Keiji , Zenke Yukichi , Kawasaki Makoto , Fushimi Kiyohide , Matsuda Shinya , Sakai Akinori 
Published: April 2024

Abstract
The number of amputated finger replantation has declined in the USA and Germany in recent years; however, there have been no reports on recent trends within Japan. We examined the current practices, attempts, and success factors of digit replantation in Japan. The authors hypothesized that the rates of digit replantation and success rates were consistently standardized in Japan. The Diagnosis Procedure Combination database was used to analyze 14,004 cases from April 2014 to March 2020, excluding multiple-digit amputations, thus focusing on 13,484 patients. We evaluated replantation success rates and identified factors influencing replantation decisions using multiple logistic regression analysis. The key findings included a higher frequency of replantation in thumb cases and surgeries during overtime hours, on Sundays, and in educational institutions. Success rates were notably higher for thumb replantations and patients under 20 years of age. Patients over 65 years of age treated with urokinase showed higher failure rates, unrelated to regional or hospital case volumes The number of amputated digit replantation surgeries in Japan was high during overtime hours, on Sundays, and in educational institutions. No region or hospital case volume has a lower success rate, indicating that the surgical technique was standardized throughout the country.
Influenza A virus hemagglutinin remodels membranes into a vRNP clustering platform
Authors: Chlanda Petr , Wachsmuth-melm Moritz , Peterl Sarah , Makroczyová Jana , Vale-Costa Sílvia , Amorim Maria-João 
Published: April 2024

Abstract
Pandemics caused by influenza A virus are associated with co-infections of zoonotic and human-adapted viruses. To form an infectious entity, the virus must incorporate eight different ribonucleoproteins (vRNPs) into virions budding at the plasma membrane. The process of vRNP clustering is poorly understood and has not been investigated at a molecular resolution. Here we employ in situ cryo-correlative light and electron microscopy at late stages of viral infection to identify hemagglutinin and neuraminidase as drivers of membrane remodelling. We show that hemagglutinin, but not neuraminidase-remodelled compartments serve as vRNP clustering platforms. Our nearest-neighbour analysis demonstrates that vRNPs cluster on hemagglutinin-remodelled membranes in a Rab11a-dependent manner. Additionally, we uncover that matrix protein 1 (M1) forms multi-layered cylindrical assemblies in the nucleus which restructure in the cytoplasm. Further, we show that M1 layer assembly precedes its attachment to the plasma membrane and M1 thereby coordinates the closure of the virion budding neck. In summary, we demonstrate that hemagglutinin is involved in intracellular vRNP clustering by inducing membrane remodelling to provide a large interaction surface. Thus hemagglutinin-membrane remodelling may play a role during vRNP sorting and reassortment that lead to the adaptation of zoonotic influenza A viruses.
Use of lichens as bioindicators of contamination by agrochemicals and metals
Authors: Gómez Shirley , Vergara Maria , Rivadeneira Bryan , Rodríguez Joan , Carpio Antonio 
Published: April 2024

Abstract

The presence or absence of lichens serves as an indicator of the condition of an ecosystem and the degree to which it is contaminated by various agents, such as agrochemicals and metals. Evaluating the use of lichens as bioindicators of agrochemical contamination could provide a more comprehensive perspective on current contamination levels. Monitoring was, therefore, carried out over a four-month period in two study areas: a well-conserved control area and another treated area surrounded by agricultural crops. Data on the presence and abundance of lichens in each study area were recorded at 10 sampling points, a procedure that was repeated 16 times (every 15 days), and concentrations of heavy metals and “organophosphate” agrochemicals in the lichens collected were measured by means of gas chromatography. Generalized linear mixed models were used to assess abundance and richness, while general linear mixed models were used to attain Shannon diversity and Simpson dominance indices. Moreover, a multivariate analysis was performed in order to compare the lichen communities in both areas. The results indicated differences between the control and treated areas in terms of abundance and Simpson's dominance index, while no differences were found for the richness and diversity models. The PERMANOVA analysis also showed differences between the lichen communities in the two areas. The results also demonstrated that “Canoparmelia caroliniana” bioaccumulated metals in both areas. Finally, the concentrations of agrochemicals were higher in the treated area, and included toxic substances such as Methyl Parathion and Parathion, which are prohibited in Ecuador. In conclusion, the research underscores the importance of lichens as precise indicators of environmental health and contamination by agrochemicals and metals.
Small extracellular vesicle-derived circular RNA hsa_circ_0007386 as a biomarker for the diagnosis of Pleural Mesothelioma
Authors: Zhand Sareh , Liao Jiayan , Castorina Alessandro , Yuen Man Lee , Warkiani Majid Ebrahimi , Cheng Yuen Yee 
Published: April 2024

Abstract

Pleural mesothelioma (PM) is a highly aggressive tumor that is caused by asbestos exposure and lacks effective therapeutic regimens. Current procedures for PM diagnosis are invasive and can take a long time to reach a definitive result. Small extracellular vesicles (sEVs) have been identified as important communicators between tumour cells and their microenvironment via their cargo including circular RNAs (circRNAs). CircRNAs are thermodynamically stable, highly conserved and it has been found to be dysregulated in cancer. This study aimed to identify potential biomarker for PM diagnosis by investigating the expression of specific circRNA gene pattern (hsa_circ_0007386) in cells and sEVs using digital polymerase chain reaction (dPCR). For this reason, 5 PM, 14 non-PM, and one normal mesothelial cell line were cultured. The sEV were isolated from the cells using the gold standard ultracentrifuge method. The RNA was extracted from both cells and sEVs, cDNA was synthesised, and dPCR was run. Results showed that hsa_circ_0007386 was significantly overexpressed in PM cell lines and sEVs compared to non-PM and normal mesothelial cell lines (p<0.0001). The upregulation of hsa_circ_0007386 in PM highlights its potential as a diagnostic biomarker. This study underscores the importance and potential of circRNAs and sEVs as cancer diagnostic tools.
Evaluation indicator system construction and data processing method using resilience evaluation of Chinese provinces as a case study
Authors: Wang Mingzhen , Gao Lin 
Published: April 2024

Abstract

Comprehensive evaluation is widely used in many fields, and the evaluation results are an important basis for the next decision. In order to obtain reasonable and reliable evaluation results, the evaluation indicator system must be able to scientifically, comprehensively and accurately reflect the object and purpose of the evaluation, and all indicator data must be authoritative, accurate and properly processed. Based on the above requirements, the construction of resilience evaluation indicator system and data processing method are put forward, the specific use steps are combed out, and the calculation process and results are given by taking China’s provincial resilience evaluation as a case study. The construction of the evaluation indicator system includes the primary selection of indicators based on evaluation objectives and existing researches, the optimization selection of indicators based on data acquisition, and the screening selection of indicators based on KMO test statistics and Measure of Sampling Adequacy (MSA). The data processing is carried out after the optimization selection of indicators, including the time sequence three-dimensional data table, the consistency processing of the indicator type, the non-negative processing and the dimensionless processing. Based on the processed time sequence data table, the eigenvectors corresponding to the positive maximum eigenvalues can be calculated, and the elements in the eigenvectors are the weights of each indicator.
Comparative membrane proteomic analysis of Tritrichomonas foetus isolates
Authors: Rivero Maria B. , Alonso Andrés M. , Abdala Maria E. , Luque Melchor E. , Carranza Pedro G. , Coceres Veronica M. , Rivero Fernando D. 
Published: April 2024

Abstract

Tritrichomonas foetus is a flagellated and anaerobic parasite able to infect cattle and felines. Despite its prevalence, there is no effective standardized or legal treatment for T. foetus-infected cattle; the vaccination still has limited success in mitigating infections and reducing abortion risk; and nowadays, the diagnosis of T. foetus presents important limitations in terms of sensitivity and specificity in bovines. Here, we characterize the plasma membrane proteome of T. foetus and identify proteins that are represented in different isolates of this protozoan. Additionally, we performed a bioinformatic analysis that revealed the antigenicity potential of some of those proteins. This analysis is the first study to identify common proteins at the plasma membrane of different T. foetus isolates that could be targets for alternative diagnostic or vaccine techniques in the future.
Anchorage Parameter Optimization Design of Slope with Dip Weak Layer in Open-pit Coal Mine ： Taking the West Side of Zani River Open-pit Coal Mine as an Example
Authors: Li Guanghe , Wang Pengyu , Ding Chunjian , Wang Dong , Wang Laigui , Liang Zuchao , Zhou Zhiwei 
Published: April 2024

Abstract

In order to solve the problem of geological disaster management of slope landslide with dip weak layer in open-pit coal mine, taking the Zani River open-pit mine as the engineering background, based on analyzing the stability of the west slope, determination of anchor cable reinforcement position: Using dichotomy and residual thrust method, development of a calculation program for the axial force required for anchor cable reinforcement, The installation angle of anchor cable reinforcement is determined, parameters such as cable spacing are also determined: Finally, the reinforcement effect of west slope anchor cable is verified by numerical simulation. The results show that the anchor cable reinforcement position of the west slope of the Zani River open pit mine is determined as + 590 level, + 578 level, and + 566 level, determining that safety reserve coefficient 1.100 is satisfied, At this time the need for anchor cable force of 9700 kN, anchor installation angle of 30°, anchor spacing is 2 m, the row number of anchor cables is 15, discharge distance 4 m, length of anchorage section is 14 m. Landslide mode of west slope finally reaching boundary is a combined failure, landslide mechanism is traction type. The west slope after anchor cable reinforcement finally reaches the boundary slope, displacement and stress can be effectively controlled, reinforcement effect is remarkable.