bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Risk Factors for SIRS after PCNL in Patients with Solitary Kidney
Authors: Fang YuJu , Liu Yaqin , Huang Haibing , Gui Jiaqiang , Wang Xiaoning , Zhang Guoxi , Zou Xiaofeng , Xie Tian peng
Published: August 2024

The purpose of this study is to address the gap in the existing literature regarding the risk factors for systemic inflammatory response syndrome (SIRS) in patients with a solitary kidney who undergo percutaneous nephrolithotomy (PCNL).This retrospective study reviewed the clinical data of 51 patients with solitary kidney stones who underwent PCNL from January 2018 to January 2024.The study evaluated demographic information, stone characteristics, and laboratory data. Among the 51 patients evaluated, 12 (23.5%) developed SIRS. Multivariate analysis showed that a high urinary white blood cell count (p = 0.041; OR, 1.004; 95% CI, 1.000-1.008), prolonged operation time (p = 0.040; OR, 1.054; 95% CI, 1.005–1.107), and postoperative blood leukocyte count (p = 0.031; OR, 1.459; 95% CI, 1.020–2.061) were independent risk factors for SIRS after PCNL in patients with a solitary kidney. Given the unique physiological conditions of patients with solitary kidneys, who face a higher incidence of kidney stones and have lower risk tolerance, the results of this study provide insights into the risk factors for SIRS after PCNL in these patients. By identifying these factors, clinicians can better stratify risk, implement preventive and therapeutic measures in a timely manner, reduce the risk of SIRS, and improve overall patient outcomes.
Glucocorticoids and sepsis and 28-day mortality of sepsis: a Mendelian randomization study
Authors: Huang Jingxian , Xie Yubo , Huang Huageng
Published: August 2024

Background: Whether glucocorticoids are beneficial in sepsis and related deaths has been controversial, and the exact causal relationship is unclear. This study used Mendelian randomization to investigate the causal relationships between glucocorticoids and sepsis and 28-day mortality of sepsis.
Methods: We obtained SNPs (p-value < 5 × 10-8) strongly associated with the exposure factor glucocorticoids (n=5440) from a genome-wide association study (GWAS) with glucocorticoids as the exposure factor and sepsis and 28-day mortality from sepsis as the outcome factor. Causality studies were conducted using variance weighted inverse methods supplemented with MR Egger, weighted median and weighted mode and MR simple mode analyses. The results were analyzed for heterogeneity and tested for horizontal multiplicity, leave-one-out sensitivity tests were performed and ORs were calculated for the results.
Results: A total of 26 qualified SNPs were ultimately selected as proxies for glucocorticoids. The results of the random effects from IVW revealed that glucocorticoids had no causal effect on sepsis(OR=0.989, 95% CI 0.895-1.093, P=0.833, se=0.051), 28-day mortality of sepsis(OR=0.921, 95% CI 0.768-1.104, P=0.375, se=0.093). These results were confirmed using the MR-Egger, weighted median, simple model, and weighted models.
Conclusions: In a two-sample Mendelian randomization analysis, no strong evidence was found to support a causal effect of glucocorticoids on sepsis, sepsis 28-day mortality, from a genetic perspective.
Dynamic modeling method for compliant joints in rigid-flexible coupling two-dimensional positioning stage
Authors: Zhang Chi , Yang Zhijun , Huang guanxin
Published: August 2024

Compliant joints have been widely used in precision positioning stage due to the property of nearly zero friction. A novel modeling method for compliant joints is proposed, which considers their deformation in the six spatial direction by treating flexure hinges as space frame elements. A rigid-flexible coupling two-dimensional positioning stage(RFC2DPS) containing multiple compliant joints is proposed, which can eliminates the positioning errors caused by pre-motion friction thereby achieving long-stroke ultra-precision positioning. The dynamic model of the RFC2DPS is established by combining the floating frame approach with the proposed compliant joint modeling method. Two comparative experiments of point-to-point and trajectory tracking motions are conducted using MATLAB and ADAMS. Compared to the simulated values, the maximum positioning error in the X and Y directions are 0.32% and 0.44%, respectively, using MATLAB, verifying the accuracy of the dynamic model. Finally, the established dynamic model of the RFC2DPS is analyzed for spatial displacement coupling. The results conform to the spring system assumptions of the model, verifying the effectiveness of the dynamic model.
Scanning and Mining of High Fecundity Genes by Oxford Nanopore Technologies (ONT) in Sheep (Ovis aries) Pituitary
Authors: Xiao Xue , Ju Lin , Ji Zhibin , Wang Tong , Zhu Dejie , Li Zhonghui , Xu Xinming , Chao Tianle , Li Fen
Published: August 2024

Background
Reproduction is a complex process, which is influenced by the inheritance of many minor genes and some major genes. The pituitary gland is an important endocrine organ that regulates estrus and reproduction in sheep mainly through hormone synthesis and secretion. Previous studies on reproduction traits have focused mainly on folliculogenesis and ovulation in sheep with different fecundities, and few systematic analyses of the mRNAs expressed in the pituitary have been performed. To explore the intrinsic molecular regulatory mechanisms and gene regulatory network of sheep reproductive traits, key genes affecting multiple fetal traits, such as ovulation number and litter size, were screened to provide a new reference for the study of reproduction traits in sheep.
Result
In this study, three healthy small-tailed Han sheep and three healthy Wadi sheep were selected to form a high-reproduction group (small-tailed Han sheep, HP group) and a low-reproduction group (Wadi sheep, LP group). ONT full-length transcriptome sequencing technology was used for mRNA identification, screening, and functional analysis. A total of 7,123 DEGs were found between the two groups of sheep, including 3,551 genes that were upregulated and 3,572 genes that were downregulated in the HP group. The expression of screened genes PRKACB, MAPK1, CAMK2D, PIK3CB, GNAI3, RAC1, PTK2, ITGB1, PRKCB, MAPK10, and MAPK13 significantly differed between the HP and LP groups. GO and KEGG terms related to pituitary function and reproduction were enriched, including reproductive processes, responses to stimuli, and synapses. The related pathways included the mTOR signaling pathway, PI3K-Akt signaling pathway, cAMP signaling pathway, ERK1/2 signaling pathways and MAPK signaling pathways.
Conclusions
Our results clearly indicate that the DEGs detected were involved in the structure development of tissues and organs, as well as the secretion of hormones in the endocrine system, which could provide a scientific basis for elucidating the genetic mechanisms of high reproduction in sheep.
Thermodynamic modeling of the Mn-Si-O system
Authors: de Abreu Danilo Alencar , Fabrichnaya Olga
Published: August 2024

In this study, the thermodynamic parameters of the Mn-Si-O system were re-evaluated using the CALPHAD approach. Available experimental data on phase equilibria were taken into account and thermodynamic properties such as heat capacity, standard entropy and standard enthalpy were reproduced within uncertainties. Three ternary compounds are found to be stable in the Mn-Si-O system: rhodonite (MnSiO3), braunite (Mn7SiO12) and tephroite (Mn2SiO4). Braunite was modeled by CEF, while tephroite and rhodonite were modeled as stoichiometric compounds. Two-sublattice partially ionic liquid model was used to describe the liquid phase. The braunite phase exhibits a homogeneity range and can dissolve Mn2O3 in some extension. Phase diagrams for the MnO-SiO2 system in the presence of metallic Mn and the MnOx-SiO2 system in air were calculated and showed good agreement with existing literature data. The thermodynamic parameters were evaluated to describe the experimental data over the entire compositional range of the system.
Clinical and Functional Characterization of a Novel STUB1 Mutation in a Chinese Spinocerebellar Ataxia 48 Pedigree
Authors: Li Jiaqi , Xie Wenyi , Chen Jian-Min , Xu Chun-Zuan , Huang Ya-Li , Chen Sheng , Liu Chang-Yun , Lu Ying-Qian , Zou Zhangyu
Published: August 2024

Background
Spinocerebellar ataxias (SCAs) encompass a wide spectrum of inherited neurodegenerative diseases, primarily characterized by pathological changes in the cerebellum, spinal cord, and brainstem degeneration. Autosomal dominant spinocerebellar ataxia type 48(SCA48) is a newly identified subtype of SCA, marked by early-onset ataxia and cognitive impairment, and is associated with mutations in the STIP1 homology and U–box-containing protein 1 (STUB1) gene. The STUB1 gene encodes the protein CHIP (C-terminus of HSC70-interacting protein) which functions as E3 ubiquitin ligase and is crucial to the development of neural systems.
Results
Here, we reported a Chinese SCA48 family exhibited typical features and defined a novel missense mutation STUB1 c.755A > C (CHIP p. Y252S) through whole-exome sequencing. The variant was interpreted as a variant of uncertain significance, so we conducted a series of experiments using minigene plasmids to evaluate the pathogenicity of the variant. We found that the variant STUB1 c.755A > C caused a significant reduction of CHIP level and the loss function of ubiquitin ligase activity as the pathogenic STUB1 mutations reported before. Besides, we also found that the CHIP p. Y252S could cause tau aggregation, which is considered to contribute to the progression of neurodegenerative disorders.
Conclusions
we diagnose the SCA48 pedigree in China and highlight the role of decreased ubiquitination and increased tau aggregation in the pathogenesis of the novel STUB1 c.755C > A mutation.
Balloon valvuloplasty for pulmonary stenosis: Experience of Mohammed VI university hospital of Marrakech
Authors: Ztati Mohamed , Choukri Moulay Achraf , Yahya Abdelkarim Ait , Joumana El Masrioui , Jamili Mohamed El , Karimi Saloua El , Hattaoui Mustapha El
Published: August 2024

Introduction: Pulmonary stenosis (PS) is a common congenital heart disease that obstructs the blood flow from the right ventricle (RV) to the pulmonary artery (PA). Percutaneous balloon valvuloplasty is the first-line treatment for this disease, and the outcomes depending on the anatomical characteristics of the right ventricle (RV) and the pulmonary artery (PA).
Objectives: To conduct an epidemiological study, investigate the circumstances of pulmonary stenosis diagnosis, evaluate the diagnostic role of Doppler echocardiography, and determine the therapeutic role of interventional treatment.
Methods: This descriptive retrospective study involved patients with PS followed in the functional exploration department of Mohammed VI University hospital of Marrakech between March 2024 and June 2024.
Results: Three patients were included. The mean age was 21 years (ranging from 2 to 44 years), and the mean weight was 40,6 kg (ranging from 17 kg to 55 kg). The mean intervention time was 35 months (ranging from 15 days to 9 months after diagnosis). The presenting symptoms were dyspnea with paroxysmal palpitations in two patients and feeding difficulty in one patient. All patients had an ejection systolic murmur in pulmonary area. One patient showed right ventricular hypertrophy (RVH) and right atrial hypertrophy (RAH) on the electrocardiogram. The PA-RV gradient decreased from an average of 99 mmHg before dilatation to 30 mmHg after dilatation. The RV pressure decreased from an average of 113 mmHg to 57 mmHg. Balloon dilatation was successfully performed in all patients, with the saturation increasing from an average of 93% to 97%. The “dome sprayer” appearance of the pulmonary valves was observed in all patients, with a dysplastic appearance in one patient. Three patients experienced complications: two with moderate pulmonary insufficiency and one with anesthesia-related bronchospasm, which resolved favorably.
Conclusion: Percutaneous balloon treatment for pulmonary stenosis is a safe and effective alternative with few complications and good immediate results.
Spectrum of Zoonotic Fish Parasites in Lahore, Pakistan: An Anatomopathological analysis for tissue damage
Authors: Akhtar Raheela , Khan Naseem Ullah , Ahmad Waqas , Ahmad Muhammad Hammad , Khan Imtiaz Ahmad , Ali Muhammad Muddassir , Sharif Saima , Bibi Noreena
Published: August 2024

Fish parasites are a leading cause of fatality as well as a threat to public health and the economy as well. Different species of parasites are reported in several types of fish. To protect the farm from parasitic infestations, and mitigate the threat to public health, regular surveillance in the fish farms should be performed. Therefore, 100 random samples from the fisheries complex Manawa, Lahore were taken from February 2019 to July 2019 to determine varieties of fish parasites, and for the observation of histopathological changes in fish. The study reveals a 3% prevalence of the fish parasites in the region of surveillance, and two species Anisakis simplex and Lernaea cyprinacea are found in the samples. Moreover, the histopathological changes including liver, skin, gills, and intestines of positive fish samples are observed.
A connection method for a defeasible extension of ALCH
Authors: Fernandes Renan , Freitas Fred , Varzinczak Ivan , Farias Pedro P. M.
Published: August 2024

The development of proof methods for defeasible description logics (DLs), following those for classical DLs, is mainly based on semantic tableaux.However, the literature offers equally viable alternatives for automated theorem proving, such as the connection method.It consists of a goal-oriented direct proof search method that searches for connections (complementary pairs of literals) in a set of literals organized in clauses called a matrix.This paper presents a connection method for an exception-tolerant family of DLs.In that regard, (i) we use the language of ALCH extended with a typicality operator on concepts and another one on roles; (ii) we revisit the definition of a matrix representation of a knowledge base and establish the conditions for a given axiom to be provable from this matrix with a new normal form (Bi-Typicality Normal Form); (iii) we show how to handle term unification and define a suitable blocking condition in the presence of typicality operators; and (iv) we establish correctness, completeness, and termination of our algorithm.
Osteoporosis and Fractures in Patients with Acromegaly: A Two-Center Cross-Sectional Study
Authors: Alvarez Mauricio , Rincon Juliana , Ulloa Maria , Rincon Oswaldo , Mejia Liliana , Alvarado Alejandra , Bernal Monica , Galvis Alba
Published: August 2024

Purpose
This cross-sectional study aimed to assess the prevalence of vertebral fragility fractures, non-vertebral fragility fractures, hip fragility fractures, and osteoporosis in patients diagnosed with acromegaly.
Methods
Data were collected on age, sex, body mass index (BMI), time from diagnosis of acromegaly, insulin-like growth factor (IGF-1) levels, disease control, pharmacological management, risk factors for osteoporosis, vertebral fragility fractures, non-vertebral fragility fractures, hip fragility fractures, and osteoporosis.
Results
A total of 124 patients with acromegaly were included (67 men and 57 women). The mean age at diagnosis was 44 ± 12 years; the mean time from diagnosis was 12 ± 8 years; and the mean BMI was 27 ± 4 kg/m². Fragility fractures were found in 27 patients (21%). There were no significant differences in the presence of osteoporosis or fragility fractures according to age, sex, BMI, duration of acromegaly, or IGF-1 levels at diagnosis. A higher percentage of patients with osteoporosis were treated with somatostatin analogs compared to those without osteoporosis (46% vs. 15%; p < 0.05)
Conclusion
A high prevalence of osteoporosis and fragility fractures was found in patients with acromegaly, regardless of age, sex, BMI, time from diagnosis, IGF-1 levels, and disease control. More patients with osteoporosis were treated with somatostatin analogs compared to those without osteoporosis. Taken together, our results suggest that the severity of the disease and the need for second-line therapies, may be associated with the increased risk of osteoporosis.
Sustainability considerations of nuclear power in space transportation and infrastructures
Authors: Paek Sung Wook , Park Eugene Seungho , Brooks Samuel , Roy Rajkumar
Published: August 2024

Nuclear thermal propulsion (NTP) and nuclear electric propulsion (NEP) systems are considered to be potential enablers for exploring Mars and beyond. The fission surface power can provide continuous heat and electricity, which complements solar power on the Moon and Mars. Nuclear propulsion and power are attracting spacefaring nations and stakeholders again after the Space Race era due to their advantages and envisioned applications. This paper examines space nuclear power from a few sustainability perspectives. First, from the space logistics and transportation perspective, we identify potential operational regimes where nuclear space propulsion could complement or outperform chemical rocket propulsion. Second, we identify self-engineering technologies that may enhance the reliability of nuclear power systems in orbit or on the surface. Lastly, we discuss extraterrestrial infrastructures, inspired by the design approaches and technologies adopted in the architecture, engineering, and construction (AEC) industry, which could enhance the sustainability of nuclear power in space and contribute to the cislunar circular economy.
A tailored internet-delivered mindfulness-based interventions for patients with hepatocellular carcinoma after TACE: A qualitative Study
Authors: Liu Zengxia , Li Min , Jia Yong , Zheng Lufang , Chen Li
Published: August 2024

Purpose
The purpose of this study was to explore the true experiences of hepatocellular carcinoma (HCC) patients after TACE who participated the tailored internet-delivered mindfulness-based interventions (iMBIs).
Methods
From November 2020 to December 2022, 11 HCC patients after TACE who participated the tailored iMBIs were recruited from a tertiary hospital in Jilin Province by purposive sampling. Semi-structured interviews were performed to collect data, and qualitative content analysis was conducted to analyze the data.
Results
We identified five main categories from interviews, including mindfulness mindset, improvement of physical discomfort, resistance to mindfulness practice, support and encouragement, and accessibility and convenience. Each category can be divided into several general categories.
Conclusions
Participants reported subjective psychological and physical benefits. However, participants also had negative experiences in the process of mindfulness practice. While iMBIs gives participants a sense of convenience and accessibility, there are also issues with device usage limitations.
A Framework for Improving Social Inclusion using Network Analysis and IoT-based Contact Tracing
Authors: Giallorenzo Saverio , Sinagra Emanuele , Trotta Angelo , Vergolini Loris , Zanellati Andrea
Published: August 2024

We present a framework to quantitively measure social inclusion and suggest actions to increase the integration of more isolated agents. An important aim of our framework is to lower the barriers to entry for researchers in the field. Hence, we show how one can assemble, program, and deploy affordable, over-the-counter IoT devices to work as reliable means for detecting the frequency and duration of social interactions. On this data, we propose an ad-hoc algorithm to infer social inclusion from interactions. We define measures, rooted in network analysis, to estimate the level of social inclusion of the agents under study and propose sustainable interventions to increase the integration of agents—in a way that maximally aligns with the natural tendency of the agents in the network to establish interactions, lowering the risk of the network returning to its previous state. To validate our proposal, we conduct an in-field case study on a class of primary school students. We report on the experience of using the devices with children—whose social interactions might be more difficult to investigate via questionnaires or interviews than more senior subjects—and the results of applying our measures to identify isolated students and suggest integration interventions.
Perceptions, Challenges, and Improvement Strategies for the Standardized Use of Intravenous Infusion in Chinese Medical Institutions: A Qualitative Interview Study
Authors: Zhong Xiaoyan , Huang Yuexi , Wei Qiming , Chen Kun , Wang Shurong , Huang Yilan
Published: August 2024

Purpose
This study aims to evaluate the awareness of standardized intravenous infusion use among medical professionals and inpatients in Chinese medical institutions and to explore effective strategies to improve the rate of standardized use, thereby enhancing patient safety and medical quality.
Methods
Utilizing a qualitative research design, the study conducted semi-structured interviews to deeply understand the perceptions and challenges faced by medical professionals (pharmacists, doctors, nurses) and patients regarding standardized intravenous infusion use. The sample was selected through purposive sampling to ensure diversity. The interviews covered perceptions, challenges, and improvement strategies, with data analysis performed using Nvivo 12 plus.
Results
The study found variations in medical professionals' awareness of standardized intravenous infusion use. Physicians' clinical decisions were influenced by patient expectations and medical insurance policies, while nurses believed that standardization could reduce their workload, and pharmacists faced difficulties in implementation. Patient attitudes toward intravenous infusions were diverse, with some preferring them. The study also revealed that education and training, medical insurance policies, pharmacists' professional development, clinical pathways, specialized drug management, and inter-departmental collaboration significantly impact the standardization of intravenous infusion use.
Conclusion
This study uncovers the multi-dimensional challenges of standardized intravenous infusion use among inpatients in Chinese medical institutions and emphasizes the importance of strengthening education, training, and inter-departmental collaboration. It is recommended that relevant departments engage in joint discussions to ensure the consistency of medical insurance policies with clinical practices, promoting the efficient use of medical resources and insurance funds.
Representation in Science and Trust in Scientists in the United States
Authors: Druckman James , Ognyanova Katherine , Safarpour Alauna , Schulman Jonathan , Trujillo Kristin Lunz , Uslu Ata Aydin , Green Jon , Baum Matthew , Mathé Alexi Quintana , Qu Hong , Perlis Roy , Lazer David
Published: August 2024

American scientists are notably unrepresentative of the population. The disproportionately small number of scientists who are women, Black, Hispanic or Latino, from rural areas, religious, and from lower socioeconomic backgrounds has consequences. Specifically, it means that, relative to their counterparts, individuals who identify as such are more dissimilar and more socially distant from scientists. These individuals, in turn, have less trust in scientists, which has palpable implications for health decisions and, potentially, mortality. Increasing the presence of underrepresented groups among scientists can increase trust, highlighting a vital benefit of diversifying science. This means expanding representation across several divides—not just gender and race but also rurality and socioeconomic circumstances.
A General Linear Model to Describe Observed Global Warming as a Function of the Atmospheric Surface Concentrations of Greenhouse Gases and Greenhouse Constants
Authors: Friberg Rasmus
Published: August 2024

This is the first paper in a series of papers with the overall aim of analyzing and deriving theoretical models to indirectly measure and test the root cause of observed global warming (GW) and the greenhouse effect (GHE) at the earth’s surface due to the atmospheric concentration of greenhouse gases (GHGs) in general and the mass of anthropogenic CO2 emissions (MACE) in particular. The objective of this specific paper is to present a new theoretical model, which is the framework theory and the starting point for explaining the relationship between observed global warming (GW) and the atmospheric concentrations of greenhouse gases (GHGs). It is derived from the theory of Lambert–Beer–Bouger’s law, Planck’s law and the heat balance over the atmospheric surface layer, where the GW is measured. The result is called the general linear model of GW (GLMGW). Consequently, the GLMGW indicates that there is a linear relationship between the observed GW (or GAST-global atmospheric surface temperature) and the GHG atmospheric surface concentrations. The characteristic constants of the GLMGW are the greenhouse constants for each GHG, which is a measure of how much the temperature rises per atmospheric concentration of a given greenhouse gas. The claims originating from the GLMGW were tested directly or indirectly in subsequent papers (Evidences I-V) based on the global data series of temperature and atmospheric GHG concentrations obtained from NOAA, ECMWF and GCP. Several new practical validated measurement models are available for calculating and forecasting GW as a function of the dominant GHGs. The different models can be used with high measurement certainty and forecasting capability to estimate several different quantities in the context of the GW; for example, the global atmospheric surface temperature anomaly (GASTA) can be used as a function of the atmospheric CO2 concentration, and the remaining time and remaining MACE can be used to breach the 1.5K and 2.0K limits.
Dust Surrounding Mars Detected by MAVEN
Authors: Ye Shengyi , Wang Guangzhou , Wu Han , Wang Jian
Published: August 2024

Mars is one of the most extensively explored planet in our solar system. However, previous research on the dust environment surrounding Mars remains quite limited. We used the method of detecting signals generated by high-speed dust impacts on the spacecraft and filtered out over 86000 dust impact events from the burst mode data recorded by the Langmuir Probe and Wave instrument (LPW) payload of the Mars Atmosphere and Volatile Evolution (MAVEN) spacecraft during the period from October 2014 to November 2022. This direct detection method for dust particles has a large effective observational area, allowing for the observation of space environment with low dust number density. Through calculations, we discovered a complex dust environment around Mars. We analyzed three potential sources: interplanetary dust, dust released by Martian moons, and the dust that transported from the Martian surface. We observed a significant increase in dust impact signal detection rates near the orbital altitude of Phobos. This could be the first effective observation proving that the moon of Mars is releasing dust. Additionally, we found correlations between Martian global dust storm event in Martian Year 34 and the variation of dust in Martian space environment. This may suggest that Martian dust storms are capable of lifting dust particles from the surface to high altitudes previously unanticipated. Our findings can help to understand the sources of interplanetary dust within the solar system and the ways in which Martian dust storms influence Mars' atmosphere and space environment.
Adaptive Real-Time Big Data Processing Framework: A Machine Learning and Reinforcement Learning Approach Using Random Forest and Q-Learning for Dynamic Resource Management
Authors: Hooda Akash
Published: August 2024

Real-time big data analytics is crucial for industries that handle high-velocity data streams, such as IoT, finance, e-commerce, and social media. Traditional big data processing frameworks often struggle to adapt to the dynamic nature of real-time data, leading to inefficiencies, increased latency, and higher operational costs. This research proposes an Adaptive Real-Time Big Data Processing Framework that integrates a Random Forest model for load prediction with Q-learning for dynamic resource allocation. The framework adjusts in real-time based on predictive insights and learned policies, optimizing system performance while minimizing costs.
Experimental results demonstrate that the framework reduces latency by 15%, improves throughput by 20%, compared to traditional methods. The Random Forest model achieved an efficiency of 93.62%, while the Q-learning approach further achieved 94.86%, reflecting superior resource utilization. These improvements indicate the framework's effectiveness in dynamically adapting to real-time data, ensuring high performance and cost-efficiency.
Adaptive AI-Driven Earthquake Simulation Leveraging Real-Time Geospatial Data and Advanced Machine Learning Models
Authors: Tanaka Akira , Matsumoto Yuki
Published: August 2024

The burgeoning field of earthquake simulation has profound implications for advancing our understanding of seismic phenomena and enhancing disaster preparedness. Recent advances in machine learning and geospatial data analytics have opened new avenues for more accurate and adaptive predictive models. This paper addresses the critical research question: How can adaptive AI-driven models, synergized with real-time geospatial data, improve the accuracy and responsiveness of earthquake simulations? To tackle this, we develop a hybrid simulation framework that integrates advanced machine learning algorithms, such as convolutional neural networks and recurrent neural networks, with dynamically updated geospatial datasets. These datasets include seismic activity records, topographical features, and human-made infrastructure information, updated in near real-time. Our main contributions include the introduction of a novel adaptive learning mechanism that continuously refines model parameters in response to new data inputs, leading to enhanced predictive reliability and reduced false alarm rates. We conduct extensive experiments using historical earthquake data and contemporary geospatial information to validate our approach. The results demonstrate marked improvements in simulation fidelity, with a 30% increase in accuracy and a 25% reduction in predictive latency compared to existing methods. Through this innovative integration of AI and geospatial data, our research not only advances the state-of-the-art in earthquake simulation but also provides a scalable framework adaptable to other geospatial and predictive modeling challenges.
Scenting Relief-Aromatherapy for alleviating Primary Dysmenorrhea in Adolescents and Young Women: A systematic review and meta-analysis
Authors: Tahir Hasab Nawaz , Rehman Naureen , Tahir Mursala , Alotaibi Nemer , Al-Dhubaibi Mohammed Saleh , Mohamed Noureldaim Elnoman Elbadawi , Zaheer Imran , Ali Yousaf
Published: August 2024

Background Primary dysmenorrhea (PD) is prevalent among adolescents and young women, significantly impacting their quality of life. Aromatherapy has emerged as a promising non-pharmacological intervention for managing PD, but its age-specific efficacy, mode of application, and type of aroma oils remain underexplored. Thus, this systematic review evaluate aromatherapy's effectiveness in alleviating PD symptoms among adolescents and young women aged 10–24.Methods Data were sourced from PubMed, Google Scholar, ScienceDirect, Cochrane, Bielefeld Academic Search Engine (BASE), and through cross-referencing. Results were synthesized by conducting meta-analysis using random-effects models, and assessing heterogeneity using I² statistics. Quality assessment of the included studies was also carried out.Results A total of 15 studies were included for meta-analysis of which 4 were RCTs and 11 were non-RCTs. Aromatherapy significantly reduced PD pain score across studies, with a standardized mean difference (SMD) of -3.19 (CI -5.09, -1.28; I² = 98%) and − 0.98 (CI-1.40, -0.57; I² = 64%) in quasi-experimental studies and RCTs, respectively. In addition, moderate to severe pain was measured categorically (RR: 0.39; CI 0.25, 0.60; I² = 36%).. Adolescents exhibited the most significant benefit (SMD: -3.64; CI -6.24, -1.03; I² 98%; RR: 0.39; CI 0.25, 0.60; I² = 36%), compared to young women (SMD: -1.04; CI -1.35, -0.72; I² 53%). Inhalation aromatherapy (SMD − 3.09; CI -5.06, -1.12; I² 98% ) showed superior efficacy over massage (SMD − 1.20; CI -1.45, -0.96; I² 7%). Rose essential oil, cinnamon, and peppermint oil demonstrated significant efficacy, while lavender and lemon oils showed varying outcomes.Conclusion This study supports aromatherapy's effectiveness in reducing PD symptoms, particularly among adolescents. Standardized protocols and well-designed trials are needed to optimize aromatherapy's therapeutic potential for managing menstrual pain across diverse age groups, addressing current gaps in research methodology and oil-specific efficacy.
Analysis of Prefrontal Cortex Responses According to Oxyhemoglobin Concentration Changes in Participants Undertaking Horticultural Activities
Authors: Yoo Na-Yeon , Kim Seo-Hyun , Park Sin-Ae
Published: August 2024

This study aimed to investigate the psychophysiological effects of horticultural activities on the prefrontal cortex (PFC) to understand how horticultural activities can influence mental health and cognitive function. This study involved 39 adults with an average age of 54.6 years (±12.5 years) and was conducted in a laboratory setting at Konkuk University. The impact of five different types of horticultural activities—sowing, transplanting, planting, harvesting, and packaging—on PFC oxyhemoglobin (oxy-HB) concentrations was assessed. Functional near-infrared spectroscopy (fNIRS) was used to measure oxy-HB levels in the PFC while participants engaged in each activity for 90 seconds. The results indicated that the overall PFC oxy-HB concentration was at its lowest during planting and at its highest during sowing (P < 0.001). In the right PFC, oxy-HB was also at its lowest during planting and at its highest during sowing (P < 0.01). In the left PFC, the lowest oxy-HB concentrations were observed during both planting and harvesting, whereas the highest oxy-HB concentrations were observed during transplanting and sowing (P < 0.001). Additionally, sex-based differences were noted, with females showing significantly lower oxy-HB concentrations during sowing (P < 0.05) and transplanting (P < 0.01) than those of males. These findings suggested that psychophysiological responses, as indicated by oxy-HB concentrations, vary depending on the type of horticultural activity and by sex.
The validity and reliability study of the theory of mind inventory-2 (TOMI-2) Turkish version
Authors: Keleş Ertürk Canan , Tepeli Kezban
Published: August 2024

This study aims to conduct the Turkish adaptation, validity, and reliability study of the Theory of Mind Inventory-2 (TOMI-2) developed by Hutchins and Prelock (2016) for 3-5-year-old children. The study group consists of 310 mothers with children in the 3-5 age group in Konya city center. Personal Information Form and Theory of Mind Inventory-2 (TOMI-2) were used as data collection tools in the study. After the TOMI-2 was translated into Turkish, the normality assumption was checked with the "Shapiro-Wilk" test. The relationship between two continuous variables was evaluated with the Pearson Correlation Coefficient. Exploratory Factor Analysis, Confirmatory Factor Analysis, Content Validity, Criterion Validity, and Reliability analyses were also used in the study. The findings of the analyses show that the Turkish version of the TOMI-2 is a valid and reliable measurement tool for children aged 3-5, with 60 items in the original form.
Gestão de recursos hídricos no Brasil: Desafios e oportunidades na implementação da agenda 2030 da ONU
Authors: Ampolini Geverson , Winckler Silvana , Renk Arlene
Published: August 2024

Este artigo examina a gestão de recursos hídricos no Brasil, com foco na integração dos Objetivos de Desenvolvimento Sustentável (ODS) da Agenda 2030 da ONU. O estudo destaca os desafios de equilibrar o desenvolvimento econômico com a sustentabilidade ambiental, explorando como a gestão hídrica no Brasil pode ser aprimorada para cumprir esses objetivos. A pesquisa adota uma abordagem qualitativa e interpretativa, baseada em uma ampla revisão bibliográfica, análise documental, etnografia e entrevistas semiestruturadas, visando entender as dinâmicas sociais e os contextos específicos. Os resultados revelam avanços na gestão hídrica, mas apontam desafios significativos. A integração dos princípios da Agenda 2030, especialmente em termos de sustentabilidade, participação social e descentralização, é crucial para promover uma gestão hídrica mais sustentável e equitativa no Brasil.
Influence of convenience, trust, and lifestyle on Islamic consumption behavior among millennials: A study on Shopeepay Later users
Authors: Fitriyani Arum Teguh , Bawono Anton
Published: August 2024

Technological advancements have transformed cellphones into multifunctional tools, significantly increasing internet usage in Indonesia. This study examines the impact of convenience, trust, and lifestyle on Islamic consumption behavior among millennials using Shopeepay Later. Utilizing a quantitative approach, data was collected via online questionnaires from 50 respondents in Semarang Regency. Multiple regression analysis was employed to evaluate the hypotheses. Findings reveal that lifestyle significantly influences Islamic consumption behavior, while convenience and trust do not have notable individual impacts but do collectively affect behavior. The study underscores the importance of integrating ethical education with financial literacy to foster responsible consumption aligned with Islamic values. These insights contribute to understanding how modern financial practices intersect with traditional ethical frameworks, offering valuable implications for policymakers and financial service providers aiming to promote balanced and ethical consumption practices among millennials.Keywords: convenience; trust; lifestyle; Islamic consumption behavior; Shopeepay Later.
Strategic development of rural halal tourism using the Business Model Canvas framework: A case study from East Java, Indonesia
Authors: Ukhrowi Mukhamad Zahid
Published: August 2024

This article highlights the significance of villages in local governance, especially their potential in tourism, which can drive economic benefits and community development. The purpose of this research is to analyze the development strategy of Sidomulyo Village towards halal tourism using the Business Model Canvas (BMC) approach. The methodology involves a qualitative field research design with data collected through structured interviews, direct observations, and documentation reviews in Sidomulyo Village, East Java. The findings reveal that Sidomulyo Village has significant potential as a halal tourism destination due to its rich natural resources, cultural heritage, and established tourist attractions such as educational tours, batik houses, and coffee industry tours. The village’s strategic use of BMC elements such as value propositions, customer segments, channels, and key partnerships can enhance its appeal to both local and international tourists. Implications of this study suggest that Sidomulyo Village can achieve sustainable economic growth and community welfare by leveraging strategic planning and cost management, thus positioning itself as a unique halal tourism destination.Keywords:   Halal tourism; village development; Business Model Canvas (BMS); Sidomulyo Village; economic growth.
The project of the “turn” of Siberian rivers: The dynamics of presentation in the texts of the Soviet media
Authors:   St. Petersburg State University, Tsvetova Natalia S. , Zharkova Tatiana V. ,   St. Petersburg State University
Published: August 2024

The authors of the article analyze the materials of one of the most famous public polemics of the Soviet period. The purpose is to identify factors affecting the specifics of the presentation of a scientific idea in the media; mechanisms for the formation of broadcast meanings depending on the status and communicative attitudes of participants in scientific polemics, a description of the object and markers of objections of various types and forms. The empirical basis of the research is publications in the media of the 1950–1980s. The empirical base was created in accordance with the principle of representative sampling. The methodological foundations of the analytical approach were developed by our predecessors when formatting the cognitive approach to the study of the communicative interaction of speech subjects. When creating the analytical algorithm, modern methods of intentional-stylistic analysis of the media text were used. The main conclusion: the communicative trajectory of the promotion of a scientific idea depends not only on the addressee factor, the information channel, but also on the features of the global communicative situation, the status characteristics of the subject of speech, his communicative attitudes. At different stages of scientific controversy in the public communicative space, the volume of scientific knowledge presented in the process of its popularization changes. The results of scientific research, the results of the work of specialized expert commissions, historical analogies, precedent information about similar projects are introduced into public communication. The administrative capabilities of the subject of speech provoke the use of tricks instead of verbalized versions of the objection, changing the object of criticism. The motivational part of the communicative trajectory is represented not only by calls to suspend the project embodying the scientific idea under discussion, but, crucially, by alternative ideas that stimulate scientific search in a certain area. The potential of the media material selected for analysis provides untapped opportunities to study the process of socialization of scientific knowledge, the deployment of public polemics as a means of neutralizing anti-scientific administrative decisions.
Türkiye’de 2023 Yılında En Çok Dinlenilen Şarkıların İncelenmesi: Spotify Örneği
Authors: Aydıner Buket , Küpana M. Nevra
Published: August 2024

Bu makale popüler müzik araştırmaları kapsamına girmekte, araştırmaya söz konusu şarkıların sözlerini psikolojik olarak analiz ederek müzik psikolojisi alanına da katkı sağlamaktadır. Bu araştırmanın problemini Türkiye’de 2023 yılında Spotify platformunda en çok dinlenilen 10 şarkının incelenmesi oluşturmaktadır. Araştırmanın alt problemleri şu şekildedir: 1. Türkiye’de 2023 yılında Spotify platformunda en çok dinlenilen 10 şarkıyı seslendiren kişilerin cinsiyet, yaş, eğitim durumu, milliyet açısından demografik özellikleri nelerdir? 2. Türkiye’de 2023 yılında Spotify platformunda en çok dinlenilen 10 şarkının dinlenme oranı, müzik türü, albüm bilgisi, süre, hız, tonalite açısından özellikleri nelerdir? 3. Türkiye’de 2023 yılında Spotify platformunda en çok dinlenilen 10 şarkının sözleri hangi psikolojik temaları barındırmaktadır? Araştırmada en çok dinlenilen şarkıların belirlenmesinde ve bu şarkıların albüm/seslendiren/süre bilgilerinin belirlenmesinde, dinlenme oranlarının tespitinde Spotify’ın 29 Kasım 2023 tarihinde resmi olarak yayınladığı sayısal veriler baz alınmıştır. Araştırmada nitel araştırma yöntemi kullanılmıştır, doküman analizi ve içerik analizinden yararlanılmıştır. Çalışmanın amacı doğrultusunda Türkiye’de 2023 yılında en çok dinlenilen şarkıların sözleri içerik analizine tabi tutulmuştur. Bu analize göre psikolojik temalar belirlenmiş ve elde edilen veriler sayısallaştırılarak sunulmuştur. Popüler müzik bağlamında Türkiye’ye ilişkin söz konusu güncel verilerin elde edilmesi önemli görülmektedir.
Impacto de la deforestación en el reclutamiento y diversidad de plántulas arbóreas de un bosque templado del centro de México
Authors: Cruz-Salazar Bárbara , Tlapa-Haro Aidee , George-Miranda Saúl , Estrada-Torres Arturo , Martínez-y Pérez José Luis
Published: August 2024

La deforestación de los bosques templados puede transformar un bosque diverso en uno dominado por pinos. Se analizó el impacto de la deforestación en el reclutamiento y diversidad de plántulas arbóreas en el Parque Nacional La Malinche (PNLM). Se localizaron tres rodales en cada ladera del PNLM, donde se midió la tala y el porcentaje de cobertura como indicadores de la deforestación. Las plántulas se registraron en cinco parcelas de 1000 m2 establecidas en cada rodal, con cuatro subparcelas de 10 m2 por parcela. Después de un año, se realizó un segundo muestreo para estimar el reclutamiento. La diversidad de plántulas se estimó con base en el modelo aditivo. Los efectos de la deforestación en el reclutamiento, diversidad y abundancia de cada especie se evaluaron a través de modelos lineales generalizados mixtos. La riqueza no se asoció con la deforestación, pero sí con el reclutamiento y abundancia de plántulas. La interacción entre niveles bajos de cobertura forestal y tala favoreció la dominancia de Quercus crassipes, mientras que la relación de mayor cobertura y menor tala aumentó la dominancia de Abies religiosa. La abundancia de Pinus montezumae and Salix oxylepis disminuyó a mayor cobertura forestal. El bajo reclutamiento de Pinus pseudostrobus y la abundancia reducida de Abies religiosa en áreas altamente deforestadas indican la necesidad de detener inmediatamente la deforestación y monitorear a las poblaciones de estas especies. Este estudio contribuye a entender los efectos de la deforestación en la regeneración arbórea y conservación de los bosques de coníferas mexicanos.
Implementing Engaging Strategies to Cultivate Study Habits and Propel Academic Achievement among Secondary School Students
Authors: ADEOYE Moses Adeleke , PARAMOLE Oyeronke Christiana , JOLAOYE Joshua Durotoye , JIBRIL Ayuba Olaniyi
Published: August 2024

Effective study habits are essential for academic success among secondary school students. However, many students struggle to develop and maintain effective study habits, leading to poor academic performance. The paper explores the significance of building bridges to success by implementing engaging strategies to cultivate study habits and propel academic achievement in secondary school students. It highlights the theoretical framework behind this approach and emphasizes the importance of study habits in the lives of students. Additionally, the paper presents evidence-based strategies and interventions that can be applied in educational settings to enhance students' study habits and academic performance. The paper also provides practical strategies that educators can employ to foster a supportive learning environment and teach effective study techniques. Additionally, it discusses the implementation of engaging strategies in the classroom, such as active learning techniques, technology integration, and collaborative learning. Lastly, the paper addresses the importance of assessing and monitoring students' progress to ensure the effectiveness of these strategies. In conclusion, cultivating study habits and promoting academic achievement among secondary school students can foster a positive and engaging learning environment and students can develop the necessary skills and habits to excel academically.