bluuebunny/crossref_metadata_2025 huggingface dataset:
Fotobiomodulación como terapia coadyuvante para la parálisis de Bell: una serie de casos
Authors: Leme Silva Fernanda , Rodrigues Manzano Brena , Cury Carneiro Mailon , Lemes Moura Ludimila , Ferreira Santos Dayanne Simões , Fischer Rubira Cássia Maria , Da Silva Santos Paulo Sérgio
Published: October 2024

Este estudio evaluó la eficacia de la terapia por luz de baja intensidad (LLLT, por sus siglas en inglés) en el tratamiento de tres pacientes con parálisis de Bell (BP) y revisó la literatura relacionada. Un caso involucró a una mujer de 52 años con BP grado V, quien, después de recibir terapia con medicamentos y siete sesiones de LLLT (780 nm; 70 mW; E = 9 J), mejoró al grado II en 21 días. Otro caso, un hombre de 37 años, previamente no receptivo a tratamientos, se sometió a 24 sesiones de LLLT, pasando del grado V al II en 4 meses. Finalmente, un hombre de 40 años tratado con medicamentos y 8 sesiones de LLLT mejoró del grado V al I en 1,5 meses. En esencia, la LLLT mejoró significativamente las funciones faciales, la estética y el bienestar general de los pacientes en un corto período de tiempo.
Correlation between Iron Consumption, Hemoglobin Level, and Nutritional Status on the Physical Fitness of Young Women at MA Al-Irsyad Gajah
Authors: Hardiansyah Angga , Khasanah Arini Noor , Hayati Nur
Published: October 2024

Background: Good nutritional status, normal hemoglobin levels, and adequate iron consumption will help a person achieve good physical fitness. Lack of iron consumption causes a decrease in hemoglobin production. Low levels of hemoglobin cause disruption of oxygen transport to whole body associated with energy production. Malnutrition or excess nutritional status causes a person to have difficulty moving, which results in a lower level of physical fitness.
Objectives: To determine the relationship between iron consumption, hemoglobin level and nutritional status on the physical fitness of female adolescents.
Methods: The study used a cross-sectional design, with total sample of 65 respondents. The data were nutritional status from BMI/U, hemoglobin levels using the Easytouch GCHb (Glucose, Cholesterol, and Hemoglobin) tool, iron consumption using food recall, and physical fitness measured using beep test. Bivariate analysis was measured by Gamma correlation test and ordinal logistic regression test for multivariate analysis.
Results: Most of respondents had good nutritional status (55.4%), normal hemoglobin levels (69.2%), good iron consumption (58.5%), and sufficient physical fitness (60%). The results of bivariate analysis showed that nutritional status did not correlate with physical fitness (p=0.905). Meanwhile, hemoglobin level and iron consumption correlated with physical fitness (p=0.004). Multivariate analysis explained that hemoglobin levels had a 1.73 effect on physical fitness compared to iron intake which influenced physical fitness by 1.1 times.
Conclusions: There is a correlation between iron consumption and hemoglobin levels with physical fitness. There is no correlation between nutritional status and physical fitness.
Vitamin C Intake and Anti-Tuberculosis Drugs-Induced Hepatitis in Pulmonary Tuberculosis Patients
Authors: Rabbani Hadiati , Nurwidya Fariz , Andayani Diyah Eka , Agustin Heidy , Syam Shaogi
Published: October 2024

Introduction: Drug-induced hepatitis (DIH) is one of the serious side effects of anti-tuberculosis drugs (ATD) that can reduce patient compliance with tuberculosis (TB) treatment, increase the risk of treatment failure, or develop drug resistance. Vitamin C is a potential antioxidant known to have a protective effect against DIH. This study examined the relationship between vitamin C intake and the incidence of ATD-induced hepatitis (ATDIH) in pulmonary TB patients at Persahabatan National Respiratory Referral Hospital, Jakarta.
Methods: This was a cross-sectional study of 108 patients with drug-sensitive pulmonary TB. Data was collected using a sociodemographic questionnaire, anthropometric measurements, semi-quantitative food frequency questionnaire (SQ FFQ), and data on the subject's liver function laboratory results in the last 1 month. Fisher exact test was utilized to analyze the association between adequacy of vitamin C intake and DIH.
Results: The proportion of DIH in pulmonary TB patients in this study was 6.5%. Most subjects were males (54.6%) with a median age of 41. The median vitamin C intake was 66.65 mg/day, with 63.0% of patients having an intake below the recommendation. Fisher's exact test showed that vitamin C intake was not statistically significantly associated with the incidence of ATDIH (OR 3.77 95% CI 0.44-32.55, p-value 0.256). No factors also influenced the incidence of ATDIH in this study.
Conclusion: No association was found between vitamin C intake and other factors related to the incidence of ATDIH. This is the first study in Indonesia to link vitamin C and E intake with the incidence of DIH in drug-sensitive pulmonary TB patients, providing information for future studies.
The Role of Gut Microbiota as a Trigger for Exacerbations in Pulmonary Obstruction Disorder in General
Authors: Wijaya Dewi , Simatupang Elvando Tunggul Mauliate , Putri Yolanda Julia Perel , Pratiwi Adelia , Anggraini Dewi , Syam Shaogi
Published: October 2024

Pulmonary diseases can be associated with the gastrointestinal (GI) system, particularly if an infection causes them. This relationship between organs is known as the gut-lung axis (GLA). Skin and mucosal surfaces are associated with microbiota (bacteria, fungi, viruses, macrophages, archaea, protists, helminths), which can trigger an immune response in GLA and serve a role in respiratory diseases. For instance, asthma can be inhibited by a specific antigen that is triggered by probiotics, the microorganisms found in the GI tract. Asthma incidence can be reduced by consuming fiber due to its ability to protect airways from infection. Pattern recognition receptors (PRRs) are the first immune component to identify microbial compounds in GI and lung epithelial cells. The PRRs then induce regulatory T-cell (T-reg) and Th-17 differentiation. Diet, antibiotics, and stress can all influence the structure and function of bacteria. This is known as dysbiosis. Lung microbiota can influence immune cell maturation and homeostasis. If the diversity of lung microbiota decreases, it will affect intestinal microbiota and may result in chronic respiratory disorders such as chronic obstructive pulmonary disease (COPD), asthma, and cystic fibrosis. This literature review explained how the interactions between the intestines and lungs can affect humans’ health and well-being.
Late-Onset Asthma: A Review
Authors: Moelamsyah Yandi Noer , Yunus Faisal , Nurwidya Fariz , Amien Bagus Radityo
Published: October 2024

Asthma is a chronic respiratory condition with a growing global prevalence, affecting millions of individuals annually. While asthma can develop at any age, late-onset asthma is a specific phenotype that begins in adulthood, as recognized by the Global Initiative for Asthma (GINA) in its 2024 guidelines. This form of asthma is often associated with several predisposing factors, including gender, obesity, occupational exposure, rhinitis, respiratory infections, smoking, stress, and diminished lung function. Unlike early-onset asthma, which frequently involves a history of allergies, late-onset asthma tends to lack allergic triggers, making it a distinct and challenging form of the disease. Managing late-onset asthma is often more complex, as it typically requires higher doses of corticosteroids and demonstrates a reduced responsiveness to standard steroid treatments. The exact mechanisms and pathophysiological processes contributing to the increased severity and poorer clinical outcomes in late-onset asthma remain largely unclear. This uncertainty often leads to underdiagnosis and inadequate management, further complicating patient care. Phenotypic analysis is recommended to improve treatment outcomes. This includes assessing clinical features and utilizing biomarkers, such as inflammatory markers and immunoglobulin E (IgE) levels, to guide targeted therapy when conventional steroid treatments are insufficient. However, there is a significant need for further research to elucidate the underlying mechanisms of late-onset asthma. This literature review is essential to develop more effective, personalized treatment strategies that can address the unique challenges posed by this asthma phenotype, ultimately leading to better management and improved patient outcomes.
THE PSYCHOLOGICAL IMPACT OF SURVIVORS OF THE EARTHQUAKE, TSUNAMI, AND LIQUEFACTION: A QUALITATIVE STUDY
Authors: Arifah Nur , Ismunandar Ismunandar , Gustini  , Sukmawati  , Yuwono Dian Kurniasari , Galenso Nitro , Pangaribuan Helena
Published: October 2024

Introduction: Natural disasters in the form of earthquakes, tsunamis, and liquefactions in Central Sulawesi in 2018 had several impacts on disaster survivors' psychology. These psychological problems have developed as an effect from serious injuries or loss of family members of the survivors. Psychological disorders, such as anxiety, depression, to Post traumatic stress disorder, can affect long-term quality of life. This study aims to explore the psychological impacts experienced by survivors of the earthquake, tsunami, and liquefaction in Central Sulawesi.
Method: A qualitative study with a phenomenological approach. In-depth interviews were conducted using semi-structured guideline, observation and voice recording of 18 survivors of the earthquake, tsunami, and liquefaction disasters. The determination of the sample is using a purposive sampling technique based on inclusion criteria. The results of the interviews were transcribed, member checking, and analyzed using the Van Mannen method.
Results: This study produced four themes and fifteen sub-themes. The research themes consist of the grieving phase, post-traumatic stress disorder, social support and health services support.
Conclusions: Further screening of disaster survivors who experienced psychological disorders is needed, not only as a preventive measure but also as a psychological support to improve their quality of life.
Path loss prediction for air-to-ground communication links via scenario transfer technology
Authors: Zhang Guanjie , Lei Taiya , Huo Xiaofeng , Li Yanbin , Geng Mengjie , Yang Hongjie , Yang Yuxin , Chen Xiaomin
Published: October 2024

Path loss (PL) is a significant channel parameter for the link budget in unmanned aerial vehicle-aided communications. This study introduces an innovative neural network model to estimate PL for air-to-ground communication links. Utilizing the geometric characteristics of varied physical environments, the model accurately predicts PL in diverse communication scenarios. A back-propagation neural network technique is introduced for extrapolating PL under both line-of-sight and non-line-of-sight conditions. A dataset acquisition strategy, comprising scenario reconstruction and advanced ray-tracing techniques, is employed to foster the model’s training and evaluation. Finally, the proposed model is fully trained in diverse communication scenarios, and then used to predict the PLs in a new communication scenario generated by the International Telecommunication Union standard at 28 GHz. The results demonstrate that the extrapolated PLs of the proposed model are well consistent with the reference results. As existing PL models and standard PL models aim at several specifically defined scenarios, the proposed model can predict the PLs in some undefined and unknown scenarios.
MONITORING OF THE IMPLEMENTATION OF THE EUROPEAN UNION'S SUSTAINABLE TRANSPORT DEVELOPMENT POLICY REGARDING THE USE OF LOW- AND ZERO-EMISSION FLEET ON THE EXAMPLE OF THE GÓRNOŚLĄSKA-ZAGŁĘBIOWSKA METROPOLIS (POLAND)
Authors: SOBOTA Aleksander , GRANÀ Anna , ŚWIERK Paulina , MACIOSZEK Elżbieta
Published: October 2024

Nowadays, the majority of society decides to use individual transport for everyday travel, which negatively affects the congestion of cities. Nevertheless, in the transport policy of the European Union, public transport is becoming more and more important, which is reflected in strategic documents in the field of sustainable transport development. The effect of this action is to increase the attractiveness of public collective transport, which will also translate into a reduction in pollutant emissions. This article aims to verify the implementation of the European Union's sustainable transport development policy concerning the use of low- and zero-emission rolling stock in the Upper Silesian and Zagłębie Metropolis. As part of the work, the strategic documents of the European Union in the field of sustainable development of transport were analysed. In addition, the idea of establishing the Upper Silesian-Zagłębie Metropolis in the context of the policy of sustainable transport development was introduced and the public transport system functioning in the area of the Metropolis GZM was characterized.
BEHIND THE WHEEL: UNDERSTANDING THE RISKS FOR TRUCK DRIVERS IN THE ERA OF THE INTERNET OF THINGS AND ADVANCEMENTS IN AUTONOMOUS VEHICLES
Authors: BENALLOU Imane , AZMANI Abdelah , AZMANI Monir
Published: October 2024

Freight transportation is a crucial part of the global economy, but it encounters several complex challenges, with truck drivers at the centre of these issues. These professionals, responsible for transporting goods over long distances, often work in challenging conditions, exposing them to a range of risks, including physical, psychological, and chemical hazards. These risks make the profession less appealing to younger drivers, leading to an ageing workforce and worsening the driver shortage crisis in the road transport sector. This article aims to identify the various risks faced by truck drivers and examine their negative impacts on several critical aspects, including company image, service quality, financial implications, and road safety. Additionally, the article explores the transformative impact of the Internet of Things (IoT) and autonomous vehicles (AV) on the truck driving profession.
NON-STANDARD RISK MODEL FOR APPLICATIONS IN RAILWAY TRANSPORT
Authors: GILL Adrian
Published: October 2024

In risk management in railway transport, standard risk models are usually used based on its typical definition and discrete quantification. This approach allows for easy justification of the adopted model, most often by referring to appropriate norms or standards (such as IRIS). The scientific approach does not disqualify the practical use of standard risk models, but its disadvantages (especially typical risk matrices, including their subjectivity) are increasingly being pointed out. In risk management procedures, most frequently one model is used to assess the risk of all identified hazards. This may turn out to be a mistake, considering the specific characteristics of the hazards. A risk model applied to one hazard may not be adequate to assess the risk of another. Therefore, it should be individually adapted both in terms of variables and the ranges of their measurement values. For some hazards, it will even be necessary to develop or adopt non-standard models. The aim of the article is to present non-standard risk models that provide a base for their easy implementation in safety management procedures used by railway entities.
Magazine Identification on SS1-V1 Assault Rifle using Web-based HX711 Load Cell Sensor
Authors: Ismail Yasikha Farras
Published: October 2024

The SS1-V1 is an assault rifle model equipped with a magazine as one of its main components. The magazine plays a crucial role in storing and loading ammunition. However, magazines must be stored separately from the weapon as their integrated storage can pose a risk to a country’s security. Therefore, this research proposes a web-based system capable of identifying the presence of magazines in weapons in real-time. This system is supported by various hardware components, including a load cell sensor, HX711 sensor module, Arduino UNO R3, and an Ethernet shield for network connectivity. In addition, API is used for data management, which is then stored in the database. The results of this research indicate that the average response time for each rack within a cabinet is between 2.7s to 3.3s, while for racks serving as slaves, it ranges from 14.16s to 15.01s. Based on the results of the weight-based weapon identification testing, there is a weight difference of 0.1kg to 0.2kg. These results state that all tests were successfully identified by the web system according to the conditions of the weapons on the rack.
Implementation of MOORA and MOORSA Methods in Supporting Computer Lecturer Selection Decisions
Authors: Sitorus Zulham , Karim Abdul , Nasyuha Asyahri Hadi , H. Aly Moustafa
Published: October 2024

The selection of computer science lecturers is an important process for educational institutions, requiring a balanced assessment of various criteria to find the most suitable candidates. This paper examines the implementation of Multi-Objective Optimization based on Ratio Analysis (MOORA) and its variant, namely Multi-Objective Optimization based on Ratio Analysis with a Subjective Attitude (MOORSA), as a tool to support decision making. in this case. This selection process is often complex, requiring consideration of various criteria, such as academic qualifications, teaching experience, research capabilities, and others. This research was conducted to support the decision-making process. by developing a Decision Support System (DSS) using the Multi-Objective Optimization on The Basic of Ratio Analysis (MOORA) and MOORSA methods. Many methods are used, such as SAW, AHP, Topsis and others. based on the calculation of the MOORA method, the highest result has been achieved by A1 worth 0.651819 and similarly, in the MOOSRA method the highest alternative result is A1 worth 0.592177.
Using Self-Assessments to Improve Board Performance and Build Nonprofit Capacity
Authors: Carman Joanne G. , Millesen Judith L.
Published: October 2024

This paper presents the nonprofit board self-assessment tool as a valuable, formative addition to the toolkit of nonprofit stakeholders, including evaluators, who are focused on improving both board and organizational performance. Using self-assessment data from a study of 156 nonprofits, the study tested five hypotheses about the effectiveness of five nonprofit governance best practices: strategic planning, reducing ambiguity on the board, board giving, strong internal controls, and evaluating the chief executive officer. The study finds that some nonprofit management best practices are more effective than others when it comes to assessing board performance. Moreover, consistent with previous research, board members and CEOs occasionally view performance differently. The paper concludes with a discussion about how nonprofit organizations, evaluators, and others can use these findings, as well as self-assessment tools, to improve nonprofit board governance and strengthen organizational capacity.
Visibilizando el trastorno disfórico premenstrual
Authors: Rábago López Ana Victoria , Musi-Lechuga Bertha
Published: October 2024

En este escrito se exploran las áreas clave para entender el trastorno disfórico premenstrual (TDPM), así como las investigaciones más recientes sobre su prevalencia, factores de riesgo y sus consecuencias. Además, se pone en evidencia la falta de información sobre este trastorno y la necesidad de mayor atención en este campo. El artículo resalta la importancia de investigar y concienciar sobre el TDPM, que afecta entre el 5% y el 8% de las mujeres y puede impactar significativamente su calidad de vida. Finalmente, se destaca la relevancia de realizar estudios continuos que mejoren la comprensión del trastorno y permitan una atención oportuna. Aunque los profesionales de la salud están cada vez más conscientes del TDPM, esta información no siempre llega al público en general, lo que dificulta la educación y la sensibilización. Como resultado, los síntomas de las mujeres que lo padecen suelen ser ignorados o minimizados por su entorno.
ANALYSIS OF LABOR PRODUCTIVITY OF BEAM AND FLOOR PLATE WORK WITH WORK SAMPLING METHOD
Authors: Mulyadi Sugih Dharsono  , Siti Hindun
Published: October 2024

Productivity is a crucial parameter in achieving project objectives. This research aims to obtain the value of labor productivity on the beam structure and floor plate in home construction using the work sampling method and analyze the comparison of the labor coefficient to the Analysis of Unit Price of Work (AHSP) in 2022. Experimental quantitative research describes this approach, utilizing information gathered through documentation, questionnaires, and participant observation. Data analysis in this research includes Data Uniformity Analysis, Data Sufficiency Analysis, Labor Utilization Rate (LUR), and Spearman Correlation. The findings revealed that the beam concreting job in home construction achieved a labor productivity rate (LUR) of 61.61% and 84.417 kg/person. In the floor plate concreting work, labor productivity reached 98.787 kg/person with a LUR value of 54.10%. Meanwhile, in formwork work, labor productivity reached 3.577 m/person with a LUR value of 53.37%, and in casting work, labor productivity reached 1.287 m/hour with a LUR value of 53.37%. Correlation analysis shows a positive relationship between Labor Utilization Rate and labor coefficient in concreting and formwork works. This indicates that the more efficient the labor, the higher the productivity in carrying out these activities, and the smaller the coefficient value obtained
SEISMIC RESPONSE IN MUARA BANGKAHULU SUB-DISTRICT, BENGKULU CITY, USING THE CONCEPT OF WAVE PROPAGATION
Authors: Misliniyati Rena , Muhammad Farid  , Khairul Amri  , Lindung Zalbuin Mase  , Fepy Supriani
Published: October 2024

The position of Bengkulu Province, which is flanked by the subduction zone between the Euro-Asian and Indian-Australian plates to the west, and the Sumatra Fault zone to the east, makes Bengkulu City one of the areas prone to earthquake disasters. Muara Bangkahulu District is one of the sub-districts in Bengkulu City. Muara Bangkahulu sub-district is an area that functions as a government centre, trade and service centre, and one of the education centres in Bengkulu City. This study aims to determine the ground response in the Muara Bangkahulu sub-district area during an earthquake. The wave propagation method used in this study is a one-dimensional equivalent of linear and nonlinear modelling that propagates earthquake waves from bedrock to surface. The results of this study are Peak Ground Acceleration (PGA), amplification factor, earthquake acceleration time history, and acceleration spectra response. The results of this analysis will be compared between equivalent linear and nonlinear values. The results of this study can also help us realise and further consider the value of seismic design in the Muara Bangkahulu sub-district area, mainly if a stronger earthquake occurs in the future.
PLANNING FOR INCREASING LECTURER RESEARCH PRODUCTIVITY
Authors: Luthfiana Yusrina , Sholihah Qomariyatus , Said Moh.
Published: October 2024

The World Class University trend in higher education has an impact on the need for planning in the research aspect because the quantity and quality of research are very influential in global university rankings. This research explores planning strategies as well as challenges and obstacles in efforts to increase the research productivity of lecturers in the Building Engineering Education Study Program, Universitas Negeri Jakarta based on the perspective of the study program coordinator. This research uses a qualitative descriptive approach using data collection techniques in the form of documentation complete with interviews with the study program coordinator. Some of the plans carried out by the study program to increase lecturer research productivity include the 1 lecturer 1 publication per year program, expanding cooperation and collaboration with national and international universities in research and scientific publications, holding international scientific article publication workshops, initiating collaboration with industry in the field of research and forming a research team of lecturers. The obstacles and challenges faced by the study program include lecturer workload, resources, funding, and research administration burden.
Biochemical and nutritional profiling of selected tropical green seaweeds
Authors: Mani Aswathi  Elizabeth , Pai Shilpa Kamalakar , Chakraborty Kajal , Kannan Jiji , Pananghat Vijayagopal
Published: October 2024

The nutritional composition and anti-inflammatory properties of six tropical green seaweeds viz., Ulva lactuca, Ulva linza, Halimeda macroloba, Halimeda gracilis, Chaetomorpha antennina and Chaetomorpha linum were evaluated. U. lactuca exhibited the highest carbohydrate content (66.1%), while U. linza (12.89%) and U. lactuca (12.06%) showed the highest protein content, indicating their potential as plant-based protein sources. H. gracilis contained the highest ash content (35.12%), highlighting its mineral richness, particularly calcium, magnesium and phosphorus. Lipid content was low across all species, but U. linza exhibited the highest polyunsaturated fatty acid content (22.94%), with α-linolenic acid (13.72%) which could support cardiovascular health. Mineral analysis revealed high calcium levels in C. linum (18.99 mg 100 g-1), contributing to bone health. Pigment analysis showedU. linza contained the highest chlorophyll-a (7.60 μg ml-1) and total carotenoids (0.30 μg ml-1), adding antioxidant potential to its bioactivity. Chaetomorpha linum exhibited the strongest anti-inflammatory activity (IC50 = 1.60 mg ml-1), with bioactivity correlating to the favorable n-3/n-6 fatty acid ratio. Amino acid analysis identified U. linza as the richest source of essential amino acids, particularly methionine (6.37 mg g-1) and valine (6.30 mg g-1), making it an excellent candidate for dietary supplements. The results of the study suggest that green seaweeds belonging to the family Ulvaceae could be a potential non-conventional source for dietary products and functional food supplements.
Keywords: Anti-inflammatory activities, Chlorophyta seaweeds, Essential amino acid, Non-conventional nutritional sources, Polyunsaturated fatty acid
Optimal design of the bore profile of a directional well in mountain conditions
Authors:   Admiral  F.F. Ushakov State Maritime University, Syusyuka Elena , Usmanova Flyura ,   Ufa State Petroleum Technical  University, Usmanova Liliana ,   Ufa State Petroleum Technical  University
Published: October 2024

The well design process is closely related to the problem of determining effective drilling conditions, namely, constructing an optimal well profile in mountain conditions. The accuracy of the trajectory of the drilling tool in the rock directly depends on the operational calculation of the spatial coordinates of the well. Materials and methods. The displacement and length of the wellbore were preliminarily determined; determining the accuracy of the design well profile and deviation of the wellbore. Results and discussion. During the solution, in addition to constructing a graph of the parabolic dependence using the least squares method, graphic images of other dependences that approximate the original data were also found. Conclusion. Calculating the length of the trajectory at any part of the well and the ability to reach a given end point of drilling in a rock formation with changes in external factors is an obvious advantage of the proposed method. Resume. Based on the results of the analysis of various methods and inclinometric studies, the application of the least squares method is justified, which allows determining the estimated length of the well and promptly responding to any deviation from the optimal trajectory, calculating the shortest path without affecting the drilling speed in mountainous conditions. Suggestions for practical applications and future research directions. The application of this method in combination with existing methods for constructing an optimal well profile and verification by physical methods is proposed.
Integrating Petrophysical, Hydrofracture, and Historical Production Data with Self-Attention-Based Deep Learning for Shale Oil Production Prediction
Authors: Zhang Jiafeng , Liu Ye , Zhang Fuqiang , Li Yan , Yang Xun , Wang Kaisong , Ma Yuheng , Zhang Nan
Published: October 2024

As the energy industry increasingly turns to unconventional shale reservoirs to meet global demands, the development of advanced predictive models for shale oil production has become imperative. The inherent complexity of shale formations, coupled with the intricacies of hydraulic fracturing, poses significant challenges to efficient resource extraction.

Our study leverages a substantial data set from the Ordos Basin to develop an advanced predictive model, integrating 18 parameters that blend static petrophysical attributes and dynamic factors, including hydraulic fracturing parameters and real-time pump pressure data. This holistic approach enables our self-attention (SA) model to accurately forecast future production rates by processing the complex interplay between reservoir characteristics and operational inputs. In testing across three wells, the model achieved average accuracies of 99.28% for daily oil production (DOP) and 99.25% for daily liquid production (DLP) over 20 days, surpassing traditional long short-term memory (LSTM) and gated recurrent unit (GRU) models, proving its efficacy in fractured well production forecasting. Furthermore, using the initial 30 days of production data as input, the model demonstrated its capability to predict DOP and DLP over a one-year period, achieving prediction accuracies of 96.2% for DOP and 99.6% for DLP rates.

Our model’s profound implications for the shale industry include establishing a quantifiable link between key factors and production forecasts, guiding the optimization of controllable aspects, and serving as a decision-support tool for more efficient and cost-effective oil recovery.
The Synergic Effect of Brine Salinity and Dispersed Clay Particles on Water-in-Heavy Oil Emulsion: Insight into Asphaltene Structure and Emulsion Stability
Authors: Mahdavi Mina Sadat , Tajikmansori Alireza , Saeedi Dehaghani Amir Hossein , Seyed Mousavi Seyed Amir Hossein
Published: October 2024

The research on enhancing oil recovery in sandstone reservoirs through low-salinity waterflooding (LSWF) has been well-documented, while there have been few studies conducted on the impact of emulsion formation in heavy oil due to the incompatibility between the injected brine, clay particles, and heavy oil components. In this study, we explored the synergic role of asphaltene and clay in the process of LSWF by introducing an innovative and thorough experimental approach. Our findings presented new insights into how LSWF in clay-rich sandstone reservoirs can influence the behavior and properties of the water-in-heavy oil emulsions. In this regard, we contacted the heavy oil and brine (with and without clay) for 20 days at 90°C. Then, the emulsion was centrifuged to separate the oil and brine phases. The oil phase was examined by conducting the viscosity, interfacial tension (IFT), Fourier transform infrared spectroscopy (FTIR), and asphaltene onset point (AOP) precipitation experiments. Significant decreases in viscosity and asphaltene precipitation values were observed when crude oil was exposed to clay solutions, as indicated by viscosity and IP-143 results. Furthermore, the zeta potential of clay particles suspended in various brines was determined to assess the electrostatic aspects of rock-oil interactions. The analysis of the emulsion phase indicated that the emulsion stability in the presence of clay increased because of the improvement of asphaltene contribution in the interface. This trend aligns with the zeta potential measurement results. In addition, after examining the pH and conductivity of aged brine in the presence and absence of clay, it was observed that the clay caused the release of hydrogen ions in the brine and then bonded with the dissolved cations, leading to improvement in the emulsion stability. Ultimately, the asphaltene molecular structure was compared via scanning electron microscopy (SEM) and attenuated total reflection analysis before contact with the brine and after separation from the emulsion phase. The results indicated a decrease in the concentration of aliphatic groups in the molecular structure of the remaining asphaltene following the aging of the oil bulk. These new findings can potentially mitigate unwanted emulsion damage in the LSWF in heavy oil recovery.

Additional Keywords

emulsion; asphaltene; low-salinity waterflooding; clay; heavy oil; zeta potential
Characteristics of Effective Fractures in Deep Buried-Hill Basement Gas Reservoirs and Its Effects on Fluids: The Jianbei Slope, Qaidam Basin, China
Authors: Ye Yu , Cheng Chao , Liu Xiangjun , Yang Guojun , Li Xi , Deng Hongbing , Li Peiyan , Yang Songyu , Li Rui
Published: October 2024

Buried hills are basement uplifts beneath sediment layers that possess significant exploration potential. Using the Jianbei Slope of the Qaidam Basin in China as a case study, we systematically investigated the types and origins of fractures in deep buried-hill gas reservoirs. In our study, we synthesized various data, including experimental results, production dynamics, and both conventional and special logging with the aim of clarifying the sequence and effectiveness of fracture formation in these gas reservoirs; analyzing the impact of effective fractures on fluid migration, accumulation, and preservation; and proposing a development plan to enhance stable production. Research reveals that since the Late Paleozoic, the region has been influenced by multiple phases of tectonic stress, deep fluid dissolution, and surface weathering leaching. This has resulted in a fracture system dominated by east-west trending deep major faults, with accompanying tectonic fractures, alongside dissolution, diagenetic, and weathering-collapse fractures. Smaller fractures oriented at an angle to the maximum principal stress and fractures with normal stress lower than the compressive strength are conducive to maintaining fracture effectiveness. Fracture widths range from 0.1 μm to 343.36 μm, with effective fractures comprising 63.49% of the total. Based on aperture and permeability, effective fractures are categorized into three levels: Level I fractures (>100 μm) serve as primary migration pathways; Level II fractures (10–100 μm) are well configured with dissolution pores, forming a foundation for favorable reservoir development; and Level III fractures (micron scale) enhance reservoir storage capacity by connecting fractures. The gas-water interface in the reservoir rises rapidly and unevenly. In the I + II + III fracture combination model, fluid exhibits high-conductivity channeling, leading to rapid declines in formation pressure, quick water breakthroughs in single wells, and severe water sealing. Conversely, in the II + III fracture combination model, fluid invasion is characterized by weak-to-strong finger-like intrusion, leading to prolonged stable production. Vertically, the 20-m to 60-m interval above the bedrock weathering crust has a favorable pore-fracture configuration, making it a high-quality reservoir zone in buried hills. In addition, local thick layers of Level II microfractures within the bedrock represent potential exploration targets. Considering the differential distribution of reservoir fractures, the optimal development plan is expected to achieve a recovery rate of 28.35% by 2030.
Unmasking phosphine: Assessing its continued effectiveness on stored product insects in India across populations and life stages
Authors: Arora Sumitra , S Ramya R , Navik Omprakash , J Stanley , N Patil , T Adak , M Jena , Srivast Chitra , P Gupta J , D Pandey
Published: October 2024

Phosphine is the primary fumigant to disinfest majority of world's grain against insect pests. However, the toxicity of phosphine against stored grain insect populations from different locations in India has been compared rarely. Under the present study, comparative toxicity of phosphine was determined for the storage insect pests of wheat and rice at different locations. It also evaluated phosphine’s efficacy against Callosobruchus maculatus (Fabricius) and Hypothenemus hampei (Ferrari) for which information is limited. Developmental stages including adults, larvae and eggs of red flour beetle, Tribolium castaneum (Herbst), adults of rice weevil, Sitophilus oryzae (L.) and lesser grain borer, Rhyzopertha dominica (F.), larvae of khapra beetle, Trogoderma granarium Everts, eggs of C. maculatus and larvae, pupae and adults of H. hampei, were exposed to phosphine concentrations ranging from 0.001 to 2.25 mg/L for 24, 48, and 72 hours. Sitophilus oryzae and R. dominica strains of Almora were observed to be more resistant to phosphine when compared with the most susceptible population from Cuttack. Tribolium castaneum strains of Delhi and Almora were more susceptible than strains of Cuttack. All the tested developmental stages of H. hampei were found to be highly susceptible; while, eggs of C. maculatus and larvae of T. granarium were highly resistant. Results showed significant variations in susceptibility among insect populations and life stages. The study also revealed that median lethal concentrations decrease with an increase in exposure levels irrespective of the insect species and life stages tested, suggesting the need for location-specific dosage and exposure periods for phosphine fumigation.
A computational approach to evaluate how molecular mechanisms impact large-scale brain activity
Authors: Destexhe Alain , Sacha Maria , Tesler Federico , Cofre Rodrigo
Published: October 2024

Assessing the impact of pharmaceutical compounds on brain activity is a critical issue in contemporary neuroscience. Currently, no systematic approach exists for evaluating these effects in whole-brain models, which typically focus on macroscopic phenomena, while pharmaceutical interventions operate at the molecular scale. Here, we address this issue by presenting a computational approach for brain simulations using biophysically grounded mean-field models that integrate membrane conductances and synaptic receptors, showcased in the example of anesthesia. We show that anesthetics targeting GABAA and NMDA receptors can switch brain activity to generalized slow-wave patterns, as observed experimentally in deep anesthesia. To validate our models, we demonstrate that these slow-wave states exhibit reduced responsiveness to external stimuli and functional connectivity constrained by anatomical connectivity, mirroring experimental findings in anesthetized states across species. Our approach, founded on mean-field models that incorporate molecular realism, provides a robust framework for understanding how molecular-level drug actions impact whole-brain dynamics.
Trehalose ameliorates severe acute pancreatitis by modulating the gut microbial metabolism
Authors: Li Weiqin , Hao Haibin , Du Deren , Lin Hong , Ke Lu , Fu Aikun , Shi Chongli , Li Wei , Li Yuanzhen , Hou Gaohuan , Li Lianglan , Liu Yuxiu , Shao Shengwen , Tong Zhihui
Published: October 2024

Severe Acute Pancreatitis (SAP) is an acute, severe, and high-mortality special type of pancreatitis, often accompanied by gut microbiota disorders. Gut microbiota and its derived metabolites are involved in SAP progression, but gut microbial metabolism in SAP and their roles remain unclear. In this study, we found that gut microbial metabolism homeostasis was imbalanced in SAP, especially the increase of lipids metabolism and decrease of carbohydrate & amino acid metabolism, which were reversed by depleting the gut microbiota. Trehalose in microbial carbohydrate metabolism significantly increased after depleting gut microbiota. Interestingly, oral trehalose effectively reduced pancreatic injury and ameliorated the SAP-induced microbial metabolism imbalance by increasing carbohydrate metabolism and decreasing lipids metabolism, especially increasing galactose metabolism. The role of trehalose was shown to be dependent on gut microbiota via FMT, especially the inhibition of Lactobacillaceae and the expansion of Muribaculaceae. Mechanistically, trehalose-remodeled gut microbiota reduced SAP-induced increases in serum TG, IL-6, IL-17A, and TNF-α, and inhibited caspase-3-mediated apoptosis and macrophage infiltration in the pancreas. Overall, our study revealed that trehalose ameliorates SAP by modulating the gut microbial metabolism homeostasis, which provides new insights into alterations of gut microbial metabolism and the “microbial metabolism-gut-pancreatic axis” to treat pancreatic diseases.
Proteomic analysis reveals the difference between the sperm of young and old Sus Scrofa
Authors: Fan Shuhao , Xie Fan , Wang Qianqian , Ye Haibo , Tian Yali , Liu Yangguang , Zhang Huibin , Zheng Xianrui , Yin Zongjun , Zhang Xiaodong
Published: October 2024

Background: The Wannan black pig is a superior local breed in Anhui province, renowned for its exceptional meat quality and remarkable adaptability to various environmental conditions. Semen, being a crucial indicator of male sexual maturity and fertility, significantly influences the performance of breeding boars. The molecular basis for comprehending the fecundity of boars in practical production lies in understanding the disparities in sperm proteins among boars of varying ages. In this investigation, sperm from three one-year-old and three seven-year-old Wannan black pigs were individually chosen.
Results: Employing a Tandem Mass Tag (TMT)-based quantitative proteomics approach, a total of 4050 proteins were identified, out of which 130 proteins exhibited significant differences between the two groups. GO enrichment analysis revealed that these proteins primarily participated in energy metabolism, spermatogenesis, fertilization, and reproduction. KEGG enrichment analysis demonstrated that the differential proteins predominantly resided within the ribosome pathway. A protein-protein interaction (PPI) network was constructed to identify core proteins such as RPS5. Ultimately, parallel reaction monitoring (PRM) was conducted on the selected differential proteins to validate result accuracy.
Conclusions: The findings of this study establish a foundation for elucidating the molecular mechanism underlying variations in sperm protein levels among Wannan Black Pig with different age.
A case of transient cortical blindness following coronary intervention
Authors: Modi Morni , Sicinschi Stefan , Mina George , Modi Kalgi
Published: October 2024

Transient cortical blindness is rare in the setting of cardiac catheterization and percutaneous coronary intervention. The initial clinical manifestations present similarly to acute posterior cerebral hemorrhage and causes great alarm in both patients and interventional cardiologists. A challenging clinical situation arises, as interruption of antiplatelet therapy due to concerns of hemorrhagic exacerbation poses a risk in the setting of recently placed drug eluting coronary stent. We present a case of an 83-year-old male who developed acute transient bilateral loss of visual acuity following PCI. On non-contrast head CT, he had bilateral hyper densities in the occipital lobes concerning for hemorrhage. Antiplatelet therapy was transiently held until two repeat head CT confirmed resolution of initial hyper densities in setting of no neurological deficits. His vision loss and imaging abnormalities resolved in less than 12 hours and presentation was consistent with contrast-induced transient cortical blindness.
Moroccan genome project: Genomic insight into a North African population
Authors: FAHIME elmostafa EL , Kartti Souad , Chemao-Elfihri Mohammed , Festali Rihab , HAKMI Mohammed , IBRAHIMI Azeddine , Boutayeb Saber , Belyamani Lahcen
Published: October 2024

Africa's 1.5 billion people are underrepresented in genomic databases. The African Genome Variation Project exclusively studied populations south of the Sahara, making Morocco, on Africa's northwest coast, a desirable genetic variety study site. Understanding genetic variation and customized therapy require population-specific reference genomes. This study presents Phase 1 results from the Moroccan Genome Project (MGP), which sequenced 109 Moroccan genomes. Of the 27 million variations we found, 1.4 million were unique and 15,378 were highly prevalent in Morocco. The first Moroccan Major Allele Reference Genome (MMARG) was built utilizing high-coverage consensus sequences from 109 whole genomes. The latter more accurately depicts Moroccan genetic variations than GRCh38. To support regional population-specific initiatives and precision medicine in Morocco and North Africa, this baseline research created a high-quality reference genome and genetic variation database. The results stress the necessity of population-relevant data in Human genetic research.
A study of the effects of high-intensity interval training and aerobic training on executive function in college students
Authors: Zou Benxu , Xue Liying , Wei Ming , Xue WanFang
Published: October 2024

The main purpose of this study was to investigate the effects of high-intensity interval training (HIIT) and moderate-intensity cardio-training (MICT) on the executive function of non-athletic college students by combining event-related potentials (ERP) and physiological indexes (heart rate, oxygen saturation), with the aim of providing an objective basis and a practical guide for the college students to choose a more scientific and efficient exercise mode. The study was conducted with 34 non-physical education college students from Shenyang Institute of Physical Education, and the Flanker task, 2-back task and More-odd shifting task were used as the measurement tools. The executive function levels of college students were measured after moderate-intensity aerobic exercise and high-intensity interval training interventions. The results found that the two exercise modalities had a significant increase in the behavioral outcomes for the response time of the refreshing, inhibitory and switching functions, but the effect was not significant on the correctness of the intervention. Conclusion: Both moderate-intensity aerobic exercise and high-intensity interval training have positive effects on executive functions of college students.
Efficient Feature Extraction and Fusion for Lightweight Semantic Segmentation Networks
Authors: Yuan Pengfei , Wu Yuanyuan , Zeng Yuan , Liang Jing , Zeng Wu
Published: October 2024

Semantic segmentation, pivotal in applications like autonomous driving and robotics, requires accurate pixel-wise labeling. Here we propose a novel Feature Extraction and Fusion (FEF) module, integrating dilated convolution and depth-wise separable convolution, to swiftly extract multi-scale features with enhanced accuracy and computational efficiency. Our lightweight network demonstrates a 72.6% Mean Intersection over Union (mIoU) on the Cityscapes dataset and achieves an impressive 93.7 FPS on a single GTX 1080Ti GPU, showcasing a competitive balance between speed and accuracy. This work contributes to the ongoing advancements in real-time semantic segmentation by offering a streamlined approach that maintains high performance with minimal computational overhead. The code can be found in https://figshare.com/s/ 5f3ad04a8ba0128b633f