bluuebunny/crossref_metadata_2025_split huggingface dataset:
Heart Disease Prediction with Machine Learning-Based Approaches
Authors: KÜÇÜKMANİSA Ayhan , KİLİMCİ Zeynep Hilal 
Published: February 2024

Heart disease, a global ailment with substantial mortality rates, poses a significant health concern. The prevalence of heart disease has escalated due to the demanding nature of contemporary occupations and inherent genetic predispositions. Hence, timely detection of cardiac disorders is paramount to preserving lives. However, the analysis of routine clinical data presents a formidable challenge in identifying cardiovascular ailments. Leveraging machine learning approaches to scrutinize clinical data can furnish effective solutions for informed decision-making and precise prognostications.
This research endeavors to predict heart disease by examining the data of 303 individuals encompassing 14 distinct categories. Several machine learning methodologies, namely K-Nearest Neighbor, Gaussian Naive Bayes, Logistic Regression, Random Forest, Gradient Boosting, and Artificial Neural Networks, are proposed as potential remedies to address the problem. The experimental findings unveil that Gradient Boosting attains a remarkable accuracy of 95% and Artificial Neural Networks exhibit a commendable accuracy of 90.1%, establishing them as the most successful models in this study. These results underscore the superior performance of the proposed techniques vis-à-vis the existing literature.
Covid-19 Case Management in Isolation and Quarantine Centers: A Review of Patients and Suspected Patients’ Justification for Abandoning Centers
Authors: Akantege Raymond , Rahayu Agus , Furqon Chaerul , Dirgantari Puspodewi 
Published: February 2024

This paper finds out the justification of COVID-19 patients and suspected patients’ abandonment of isolation and quarantine centres. In this paper, the authors sought to identify the justification for escaping from isolation centers, to inform and modify decision markers strategies. The questions the paper sought to answer were, has escape from isolation centers by COVID-19 patients happened only in Ghana, what could be the main reasons behind escaping across the world, and how will the knowledge of these reasons help transform management practice achieve the best cooperation from patients The research method was largely qualitative, adopting a deductive and archival research approach. However, a quantitative research technique was used in reporting counts of documents evaluated for the study including escapees from the centers. In this paper, fifteen published news items, 35 articles, and 22 textbooks were reviewed. The research revealed that escape from isolation centers has happened world-over, while stigmatization stands as the main reason for escaping. In conclusion, patients in the centers should be respected, and receive counseling, and daily updates of information on the well-being of their families and themselves.
Diagenesis of the Miocene Obispo Formation, Coast Range,
California
Authors: Surdam Ronald C. , Hall Clarence A. 
Published: February 2024

Abstract
The pyroclastic Miocene Obispo Formation (15-17 m.y.b.p.) was deposited in a continental submarine margin along the “leaky” San Luis Obispo transform (SLOT). These bimodal volcanic rocks (rhyolitic pyroclastics and basaltic flows and sills) occur along a linear trend that extends for 140 to 200 km in the southern Coast Range of California. In the area of investigation the Obispo Formation consists of a prism of volcanic rocks 500 to 1000 meters maximum thickness. Much of the pryo-clastic material, which commonly consists of over 80% of the formation, has been diagenetically altered.
Early in the diagenetic history of the Obispo Formation much of the pyroclastic material, particularly the fine-grained glassy fragments, has been altered to the zeolites clinoptilolite and morden-ite. These early diagenetic products resulted from hydration reactions. Besides the addition of H2O, the reactions involved only minor mass transfer. Early diagenesis coincided with the injection of intrusive bodies shortly after deposition of the tuffaceous material. Intrusive bodies acted as heat sources which heated the interstitial fluids in the wet tuffaceous sediments causing the convection of the fluids and acceleration of hydration reactions (zeolitization). The distribution of the mordenite and clinoptilolite is controlled by the proximity of the intrusive bodies; with the mordenite being formed closest to the intrusives (higher temperature) and the clinoptilolite forming more distant from the intrusives (lower temperature).
A second generation of diagenesis of the Obispo Formation occurs late in the burial history after the deposition of the overlying Monterey Formation. Reactions characterizing late diagenesis resulted in larger scale mass transfer. Dolomitization of many of the tuff beds took place during this stage of diagenesis. CO2-charged fluids were largely responsible for the later stage of diagenesis. These waters were derived from the dewatering and diagenesis of organic-rich sediments in adjacent basins.
Diammonium Phosphate Treatment for Sustained Hydraulic/Acid Fracture Conductivity in Chalk and Limestone Formations
Authors: Desouky Mahmoud , Samarkin Yevgeniy , Aljawad Murtada Saleh , Amao Abduljamiu , AlTammar Murtadha J. , Alruwaili Khalid M. 
Published: February 2024

Summary
The sustained conductivity of hydraulic/acid fractures is crucial for the continuous and effective production of hydrocarbons. However, hydraulic fractures in soft carbonate formations often experience a reduction in conductivity due to rock deformation and creeping under in-situ stresses. One approach to resolve this issue is to stiffen the fracture surfaces using a consolidating agent. This study examines the application of diammonium hydrogen phosphate (DAP) as an additive to improve the hydraulic/acid fracture conductivity in Indiana limestone and Austin chalk slabs. Initially, flat slabs of Indiana limestone and Austin chalk were subjected to acidization using 15% and 10% hydrochloric acid (HCl) for 10 minutes and 5 minutes, respectively. The resulting surface texture changes were measured using a profilometer. Subsequently, half of the samples underwent treatment in 1 M DAP under 1,000 psi and 75°C for 72 hours. The surface stiffness of the samples was evaluated using nondestructive impulse hammering before and after acid injection and DAP treatment, while hydraulic/acid fracture conductivity was determined using an API conductivity setup. Following acid injection, the experimental results demonstrate that the stiffness of all the samples was diminished to different degrees. However, intact Indiana limestone samples exhibited increased stiffness after treatment with DAP. Acidized Indiana limestone samples showed partial restoration of their original stiffness with DAP treatment. In contrast, DAP treatment fully restored the stiffness of Austin chalk samples and further enhanced it, resulting in a twofold to fivefold increase. The increased stiffness observed in the treated samples had a direct impact on short- and long-term conductivity. Treated Indiana limestone fractures exhibited double the conductivity of untreated fractures. The improvement in Austin chalk conductivity was even more significant after DAP treatment, resulting in seven to eight times higher conductivity in the treated hydraulic/acid fractures. It is worth noting that there was little to no correlation between surface roughness and conductivity, highlighting the significant influence of fracture stiffness on conductivity.
Effects of different intensity endurance training on atrial fibrillation in Rats
Authors: Xiao Jingwen , Zhang Jiancheng , Zhang Yan , Li Chuanchuan , Yang Chenqi , Jiang Yu , Lai Xinqi , Lin Zhengnan 
Published: February 2024

Abstract

Background
Exercise has a positive effect on various cardiovascular diseases. However, it is not uncommon to experience arrhythmia events during or after exercising.
Objective
To determine how to maximize the benefits of exercise while ensuring safety.
Methods
we conducted a study involving 40 adult Sprague-Dawley rats. These rats underwent exercise of different intensities for 8 weeks. We recorded electrophysiological stimulation to track the occurrence and duration of atrial fibrillation, along with other electrophysiological data. Additionally, we analyzed and observed the histology of cardiomyocytes.
Results
The results revealed a relationship between exercise intensity and the incidence of atrial fibrillation and myocardial lipid deposition. As exercise intensity increased, there were an increase in myocardial fibrosis, mitochondrial activity, and autophagy and a decrease in reactive oxygen species. The expression of NCX1 and Kv1.5 proteins in rat atrial cardiomyocytes exhibited varying degrees of change. The increase in myocardial lipid level after exercise is thought to have a significant effect on myocardial fibrosis, which may be related to the upregulation of peroxisome proliferator-activated receptor-gamma coactivator 1 alpha expression.
Conclusion
Sustained and moderate-intensity exercise is considered more suitable for improving myocardial metabolic energy supply and treating atrial arrhythmias.
Rope Skipping or Badminton? The Effect of Exercise on Sleep Quality in University Students
Authors: Ye Zixin , Tan Shuyue , Zhu Yingyuan , Fan Jialin 
Published: February 2024

Abstract
Background: Poor sleep quality is common among university students and can negatively affect their studies, college lives, and physical and mental health. Aerobic exercise has shown promise in mitigating these issues. Exercise interventions involved in previous studies were often time-consuming. To identify a more efficient approach, we evaluated the effects of 15-day rope skipping and badminton interventions on sleep issues. We hypothesized that both badminton and rope skipping would be effective in mitigating sleep problems and that the effect of rope skipping would be greater than that of badminton.
Methods: Fifty-five participants’ levels of sleep were assessed via nine variables, using the Consensus Sleep Diary and the Pittsburg Sleep Quality Index.
Results: Both exercises were effective in improving sleep onset latency. Badminton has a greater effect on improving daytime dysfunction than rope skipping. No additional significant results were found on the other components of sleep. One of the reasons for the nonsignificant results could be that some participants’ sleep was disturbed by roommates sharing the same bedroom.
Conclusions: Short-term rope skipping and badminton can effectively shorten the sleep onset latency of university students. Badminton can mitigate more daytime dysfunction than rope skipping. In addition, we found that some participants reported being more interested in exercise after the intervention, suggesting that exercise interventions could be used to foster exercise habits.
Effects of case management on motor and environmental risk factors for falls in older people with cognitive impairment: a randomized clinical trial
Authors: Candanedo Maria Juana Beatriz Lima , Gramani-Say Karina , Sossai Mariana Ignácio , Maciel Leticia Teodoro , Fernandes Otavio Augusto , Tavares Larissa Riani Costa , Ansai Juliana Hotta 
Published: February 2024

Abstract
Objective: To verify the effectiveness of an intervention based on case management on motor and environmental risk factors for falls in community-dwelling faller older people with cognitive impairment.
Design: This is a randomized clinical trial.
Setting: The study developed in the year 2021 and 2022.
Participants: Participants were faller older people with cognitive deficits. The participants were divided into two groups: Control Group (CG) and Intervention Group (IG).
nterventions: The IG underwent case management for 16 weeks conducted remotely, which involved a multidimensional assessment, explanation of the identified risk factors for falls, completion of intervention proposal based on the identified risks.
Main outcome measures: There were an initial assessment, a final assessment after 16 weeks, and a follow-up assessment after 6 weeks, remotely. The Short Physical Performance Battery (SPPB), Timed up and Go test (TUG) and TUG dual task, Manchester Index, Home Falls and Accidents Screening Tool (HOME FAST) were used, as well as foot inspection and shoe questionnaire.
Results: The total sample consisted of 52 older people, 25 from the CG and 27 from the IG. There was no significant interaction between groups and moments. The CG presented a worse performance in muscle strength when compared to the IG, regardless of the assessment. In feet and footwear, there was a significant difference between groups (CG and IG) in the initial assessment and between assessments in both CG and IG.
Conclusion:There was no effectiveness of an intervention based on case management on the motor risk factors for falls in faller older people with cognitive impairment. However, regarding environmental risk factors, specifically the use of footwear, it was possible to verify changes regarding the use after the intervention and follow-up, with adherence to the recommendations given.
Edaphic influences on soil organic carbon in the forest systems of Southern Western Ghats, India
Authors: Binsiya T. K. , Sandeep S. , Vishnu P. S 
Published: February 2024

Abstract

Spatial distribution and edaphic influences on soil organic carbon (SOC) are key determinants of carbon sequestration potential of forest ecosystems. Further, analysis of aggregate-protected soil organic carbon gives an in-depth understanding of the stability of carbon stored in these soils. The present study evaluated the edaphic effects on the soil organic carbon in four different forest systems - tropical evergreen forest, tropical moist deciduous forest, tropical dry deciduous forest and shola forest - in the southern high hills agro-ecological zone of Western Ghats, India. Organic carbon contents in the wet-sieved soil aggregates varied significantly between the different forest systems. The soil organic carbon stocks up to 1 m depth was found to be highest in the shola forest system (441.08 Mg C/ha) and lowest in the dry deciduous forest (138.17 Mg C/ha). An evaluation of the effects of forest type, soil depth and aggregate size on SOC by a fixed-effect model showed that all these factors significantly affected carbon storage in these systems. An assessment of the relative importance and effect of fourteen edaphic factors on SOC content in different forest systems using the random forest model showed that the algorithm could explain 93.68%, 41.72%, 45.53% and 75.2% variability of SOC concentration across shola, dry deciduous, moist deciduous and evergreen systems, respectively. In all the forest systems except in dry deciduous forest, soil texture surpassed all other edaphic parameters and was found to be the primary factor influencing the SOC. The insights on the SOC dynamics and edaphic factors controlling them provide valuable inputs for forest management in the tropics vis – a – vis climate change mitigation.
Multiple Paths of Green and Low-carbon Development in Industrial Parks: Group Analysis Based on the TOE Framework
Authors: Xin Meng , Yue Cheng , Yuanhua Xuan 
Published: February 2024

Abstract
The green and low-carbon development of industrial parks plays an important role in promoting industrial and technological agglomeration. Based on the TOE framework, this study selected 29 state-level economic and technological development zones (ETDZs) in China as research objects, and explored multiple sets of paths using fuzzy set qualitative comparison and necessity-contribution analysis. The study found that: (1) four promotion paths can be adopted for green low-carbon development of the zones: endogenous drive, balanced promotion, core support drive and comprehensive drive; (2) single environmental factor does not constitute a bottleneck hindering the green low-carbon development of the zones, which should be combined with the actual situation of the zones, and the balanced enhancement of the effectiveness of green and low-carbon should be realised through measures such as industrial policy, environmental risk prevention, and performance assessment of green policies. The results of the study deepen the rational understanding of the nature of the complex interaction of multiple factors behind the green and low-carbon development of industrial parks. In addition, the findings provide useful practical insights for green low-carbon construction.
Watch the Moon, Learn the Moon: Lunar Geology Research at School Level with Telescope and Open Source Data
Authors: Luke Kevin , Mishra Abhinav , Ghare Vihaan , Chanyal Shaurya , Shukla Priyamvada , Pandey Anushreya , Rane Vaishnavi , Pathan Ashadieeyah , Vaja Parv , Gogate Sai , Tiwari Shreyansh , Singh Jagruti , Davda Dhruv 
Published: February 2024

Abstract
Science-AI Symbiotic Group at Seven Square Academy, Naigaon was formed in 2023 with the purpose of bringing school students to the forefronts of science research by involving them in hands on research. In October 2023 a new project was started with the goal of studying the lunar surface by real-time observations and open source data. Twelve students/members from grades 8, 9, 10 participated in this research attempt wherein each student filled an observation metric by observing the Moon on various days with a Bresser Messier 150mm/1200mm reflector Newtonian telescope. After the observations were done, the members were assigned various zones on the lunar near side for analysis of geological features. Then a data analysis metric was filled by each of students with the help of Lunar Reconnais-sance Orbiter Camera’s/ LROC’s quickmap open access data hosted by Arizona State University. In this short paper a brief overview of this project is given. One example each of observation metric and data analysis metric is presented. This kind of project has high impact for school science education with minimal costs. This project can also serve as an interesting science outreach program for organisations looking forward to popularise planetary sciences research at school level.
A Multi-Stratal Model of Language Processing (MSMLP)
Authors: Elleuch Dalia 
Published: February 2024

Abstract
This article presents the Multi-Stratal Model of Language Processing (MSMLP) as an innovative neurolinguistic approach. The MSMLP is a framework that aims to advance the understanding of language processing (henceforth LP) in the human brain. A systematic review of the available models from various linguistic disciplines, cognitive psychology, and neuroscientific research was conducted to critically explore and synthesize the current trends and identify the theoretical gap regarding the technical modeling of the phenomenon under investigation (LP). The article provides a detailed overview of the theoretical foundations and key components of the MSMLP. It highlights the importance of studying language processing from a multi-stratal perspective, acknowledging the interconnectedness and mutual influence of different linguistic strata. The MSMLP integrates multiple strata of analysis: phonological, morphosyntactic, semantic, and pragmatic. By considering these interdependencies, the MSMLP offers a neurolinguistic explanation of naturalistic language processing. Furthermore, the article discusses the implications and potential applications of the MSMLP in the field of medical research and clinical practice. It emphasizes the model’s relevance in studying language disorders, such as aphasia, and its potential to inform diagnostic and therapeutic approaches.
Sedimentary features of AD1741 tsunami deposit and some older event deposits in the narrow lowlands along the eastern margin of the Japan Sea, northern Hiyama District, Hokkaido, Japan
Authors: Kase Yoshihiro , Kawakami Gentaro , Nishina Kenji , Urabe Atsushi , Koyasu Hiromichi , Takashimizu Yasuhiro 
Published: February 2024

Abstract
Deposits of the AD1741 Oshima-Ohshima tsunami and some other events were identified by pit excavations in two narrow coastal lowlands along the eastern margin of the Japan Sea, northern Hiyama District, Hokkaido, Japan. The AD1741 tsunami deposits were consisted of volcanic-ash sand grains derived from the AD1640 Ko-d tephra, and were characterized by landward thinning bed geometry, landward paleocurrent, normal grading, erosional base with rip-up clasts, and higher ratio of marine diatoms. In the Kumaishi-Ayukawa lowland, well-preserved out-flow layer indicates that the tsunami entered through the river mouth reached the terrace cliffs and returned along the river. Whereas the tsunami deposits in the Hirahama lowland lack return flow layer and were overlain by marsh muds, suggesting that the tsunami overtopped the coastal sand dunes and seawater ponded the vast lowland for a period. The sand grains of AD1741 tsunami deposits in Hirahama were not much rounded compared with those in the Kumaishi-Ayukawa, which probably reflected sediment source from tephra fell on the sand dunes and inland. We also recognized event deposits younger than AD1741 of flash flood origins in both lowlands. In addition, two older event deposits (672–561 cal yBP and 2333–1999 cal yBP) existed in Hirahama, that were consisted of rounded pebbles to cobbles similar with present beach gravels. Although such gravelly event deposits may be formed by storm surge or tsunami, the details of their origins are currently unclear.
Feasibility of decoding covert speech in ECoG with a Transformer trained on overt speech
Authors: Komeiji Shuji , Mitsuhashi Takumi , Iimura Yasushi , Suzuki Hiroharu , Sugano Hidenori , Shinoda Koichi , Tanaka Toshihisa 
Published: February 2024

Abstract
Several attempts for speech brain–computer interfacing (BCI) have been made to decode phonemes, sub-words, words, or sentences using invasive measurements, such as the electrocorticogram (ECoG), during auditory speech perception, overt speech, or imagined (covert) speech. Decoding sentences from covert speech is a challenging task. Sixteen epilepsy patients with intracranially implanted electrodes participated in this study, and ECoGs were recorded during overt speech, covert speech, and passive listening of eight Japanese sentences, each consisting of three tokens. A Transformer neural network model was applied to decode text sentences from covert speech, which was trained using ECoGs obtained during overt speech. We first examined the proposed Transformer model using the same task for training and testing and then evaluated the model’s performance when trained with overt or perception tasks for decoding covert speech. The Transformer model trained on covert speech achieved an average token error rate (TER) of 46.6% for decoding covert speech, whereas the model trained on overt speech achieved a comparable TER of 46.3% (p > 0.05; d = 0.07). Therefore the challenge of collecting training data for covert speech can be addressed using overt speech. The performance of covert speech can improve by using large amounts of overt speech.