bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fragility Curves of RC Buildings in Southeastern Turkey: Learning from Seismic Damage Data of The February 2023 Turkey Doublet Earthquakes
Authors: Sun Jikai , Wang Ziqian , Ito Eri , Kawase Hiroshi 
Published: May 2024

Abstract

Mw 7.8 and 7.5 strong earthquakes struck the Kahramanmaras province, southeastern Turkey on 6 February 2023. More than 50,000 and 8,400 lives were lost in Turkey and Syria, and approximately 230,000 buildings were destroyed or heavily damaged. 379 and 387 strong-motion stations in Turkey observed the Mw 7.8 and Mw 7.5 strong ground motions, nineteen and one of them recorded the east-west peak ground acceleration (PGA) larger than 500 cm/s2, respectively. Referring to the building damage assessment map of 2023 Turkey earthquakes, we calculated the averaged damage ratio of 24 strong-motion stations with a circle of 100m in radius. Site effects in several specific southern Turkey cities may lead to a very irregular distribution of building damage. Based on the reinforced concrete (RC) analysis model of building damage probability created from the building damage data of the 1995 Hyogo-ken Nanbu (Kobe) earthquake, we estimated the building damage probability of these southeast Turkey strong-motion stations. The optimal seismic vulnerability functions of residential RC buildings in southeast Turkey were obtained. The shear strength might be set to 60% of OLD-RC structure or 40% of NEW-RC structure in the Nagato-Kawase model for Kobe earthquake when build the building seismic damage probability model of southeastern Turkey.
Applying Natural Language Processing to Knowledge Graph Construction: Design and Implementation of a Knowledge Extraction Algorithm
Authors: Li Chunguang , Shang Haixia , Li Yan , Zhang Xingxing , Wu Yuanyuan 
Published: May 2024

Abstract

With the advent of the information age, building a knowledge base for intelligent platforms has become one of the focuses of attention. As a structured representation method for knowledge, knowledge graph can display various domains of knowledge in the form of graphs, providing important support for intelligent platforms. Based on natural language processing (NLP) and other technologies, this paper designs and implements a knowledge extraction algorithm to automatically extract knowledge and information from various data sources, including text analysis, entity recognition, keyword extraction and other functions. By constructing a knowledge graph, different domains of knowledge are presented in the form of graphs, providing an effective way to manage and utilize this knowledge. This paper introduces the design principles and implementation methods of the knowledge extraction algorithm as well as application examples in the process of constructing a knowledge graph. The experimental results show that the proposed method can effectively extract rich knowledge and information from multiple data sources and construct a semantic-rich knowledge graph, which provides important support for the development of subsequent intelligent platforms.
Multidisciplinary assessment of a restored mangrove ecosystem in Guanabara Bay, Brazil: Linking science and conservation
Authors: Santos Alan Andrade , Nunes-Freitas André Felippe , Tompson Cauê Machado , Barbosa Geovane , Takahashi Daiki , Suyama Yoshihisa , Lira Catarina Fonseca 
Published: May 2024

Abstract

Mangrove ecosystems, due to their coastal location, are particularly vulnerable to anthropogenic disturbances of varying intensity and origin. These disturbances can lead to a loss of original mangrove cover, biodiversity decline, and a degradation of their ecological functions. This study examines a restored mangrove area within the Barão de Mauá Natural Municipal Park (PNMBM) in Guanabara Bay, Brazil, two decades after the initiation of a restoration project. We employed a multidisciplinary approach, utilizing a combination of genetic diversity analysis of two mangrove species, phytosociological assessment of the area's vegetation structure, and remote sensing techniques. While genetic diversity did not reveal significant differences between adult and seedling populations across the restored area, overall diversity remained low. We found a strong degree of genetic erosion, particularly in Laguncularia racemosa. Notably, L. racemosa exhibited higher abundance, with greater density and dominance compared to the other species for both adult and seedling populations. Remote sensing data indicated high Normalized Difference Vegetation Index (NDVI) values following the completion of the restoration project. These findings suggest that the PNMBM has demonstrated remarkable resilience in maintaining its vegetation cover. However, further time may be necessary for the genetic and phytosociological structure to fully recover and achieve a robust, successful stage of development with improved genetic and ecological diversity. This interdisciplinary approach aimed to address existing knowledge gaps and provided valuable insights to inform the management of the PNMBM and guide future restoration efforts.
Image-based Modeling of Coupled Electro-Chemo-Mechanical Behavior of Li-ion Battery Cathode Using an Interface-Modified Reproducing Kernel Particle Method
Authors: Susuki Kristen , Allen Jeffery , Chen Jiun-Shyan 
Published: May 2024

Abstract

An interface-modified reproducing kernel particle method (IM-RKPM) is introduced in this work to allow for a direct model construction from image pixels of heterogeneous polycrystalline Li-ion battery microstructures. The interface-modified reproducing kernel (IM-RK) approximation is constructed through scaling of a kernel function by a regularized distance function in conjunction with strategic placement of interface node locations. This leads to RK shape functions with either weak or strong discontinuities across material interfaces, suitable for modeling various interface mechanics. With the placement of a triple junction node and distance-based scaling of kernel functions, the resulting IM-RK shape function also possesses proper discontinuities at the triple junctions. This IM-RK approximation effectively remedies the well-known Gibb’s oscillation in the smooth approximation of discontinuities. Different from the conventional meshfree approaches for interface discontinuities, this IM-RK approach is done without additional degrees of freedom associated with the enrichment functions, and it is formulated with the standard procedures in the RK shape function construction. This work focuses on identifying the accuracy and convergence properties of IM-RKPM for modeling the coupled electro-chemo-mechanical system. A linear patch test is formulated and numerically tested for the electro-chemo-mechanical coupled problem with a Butler-Volmer boundary condition representing the physical conditions in Li-ion battery microstructures. This is followed by verification of the optimal rates of convergence of IM-RKPM for solving the coupled problem with higher order solutions. The image-based modeling of Li-ion battery microstructures in the numerical examples demonstrates the applicability of the proposed method to realistic Li-ion battery materials modeling.
Effect of Uncontrolled Industrialization on Environmental Parameter: A Case Study of Mongla EPZ Using Machine Learning Approach
Authors: Ahmed Faishal , Uddin Md Shihab , Saha Ovi Ranjan 
Published: May 2024

Abstract

The unplanned and uncontrolled industrialization leads to environmental pollution which ends in impacting human life and destroying the economy. Especially in the era of global warming coastal regions of all over the world are the most vulnerable which holds significant ecological importance for human habitations. In 1998 the establishment of the Mongla Export Processing Zone (MEPZ) in the coastal thana Mongla which is already famous for its seaport has led the area to the challenges of salinity intrusion and shrinking of agricultural land and its fertility. In this paper, the effect of unplanned industrialization inside the Mongla EPZ are on the area land surface temperature (LST), normalized difference vegetation index (NDVI), normalized difference water index (NDWI), and urban heat island (UHI) spanning from the year 2007 to 2023 has been investigated. Along with that a machine learning-based Artificial Neural Network (ANN) model was employed to forecast the situation in 2027 and 2031. Our industrial settlement analysis reveals that a substantial rise in industrial building was seen in 2015 in the EPZ area, whereas the EPZ area was almost settlement-free before 2011. With this increase in 2015, above 2% of the total municipal area will face drought which has become over 30% by 2023. The NDVI values are decreasing year-wise which reveals that the area is becoming vegetation less. Also, the increasing industrial activities in the EPZ turned LST increment. Our CA-ANN algorithm-based future prediction shows that about 30% of the whole municipality will face LST 27°C by 2031. Along with that the area's UHI values over 2°C than the rural surrounding will reach 6.5% by 2031. The study investigated the devastating impact of unplanned industrialization in EPZ on the surrounding environment and ecosystem.
Study on the performance of biochar prepared from walnut shell and traditional graphene electrode plate in the treatment of domestic sewage in microbial fuel cells
Authors: Hu Zhenhua , Zhao Huifang , Wang Bingyuan , Zhang Cuijing , Lu Hongsheng 
Published: May 2024

ABSTRACT

As a new pollutant treatment technology, microbial fuel cell (MFC) has a broad prospect. In this article, the devices assembled using walnut shells are named biochar-microbial fuel cell (B-MFC), and the devices assembled using graphene are named graphene-microbial fuel cell (G-MFC). Under the condition of an external resistance of 1,000 Ω, the B-MFC with biochar as the electrode plate can generate a voltage of up to 75.26 mV. The maximum power density is 76.61 mW/m2, and the total internal resistance is 3,117.09 Ω. The removal efficiency of B-MFC for ammonia nitrogen (NH3-N), chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (TP) was higher than that of G-MFC. The results of microbial analysis showed that there was more operational taxonomic unit (OTU) on the walnut shell biochar electrode plate. The final analysis of the two electrode materials using BET specific surface area testing method (BET) and scanning electron microscope (SEM) showed that the pore size of walnut shell biochar was smaller, the specific surface area was larger, and the pore distribution was smoother. The results show that using walnut shells to make electrode plates is an optional waste recycling method and an electrode plate with excellent development prospects.
Efficacy of Yashtimadhu Ghritha Tarpana in Computer Vision Syndrome
Authors: Chaitra TM  , Varun TV  , Akshitha P  
Published: May 2024

Computer Vision Syndrome is the name given to eye problems caused by prolonged computer use including: Eye irritation (Dry eyes, itchy eyes, red eyes) Blurred vision, Headache. As we enter the 21st century, the growing use of Video Display Terminal (VDT) like Computer, Tablet, Smart phones etc. in the home and office brings with it an increase in health risks, especially for the eyes. One eye problem, called Computer Vision Syndrome (CVS), is afflicting more and more people who find themselves constantly in front of Video Display Terminal. Symptoms of Computer Vision Syndrome include Headache, Blurred vision, Burning sensation, Fatigue, Dry eyes, Irritated eyes, Double vision, and Difficulty re-focusing the eyes. These symptoms can be further aggravated by improper lighting conditions and air moving fast the eyes. Dry eye is a major symptom that is targeted in the therapy of computer vision syndrome. Acharya Susrutha mentioned Tarpanam, Putapakam, Sekam, Acshyothanam, Anjana the Kriya Kalpas for Netra Rogas. Tarpana is indicated when the eyes are fatigue inactive, Sushka (dry), Ruksha (rough), injured, patients of Vata and Pitta vitiation, when there is squint, loss of lashes, clouded vision, difficulty in opening the eyes etc. conditions, Tarpana should be done to the patients.
Sleep Duration and Functional Disability Among Chinese Older Adults: Cross-Sectional Study
Authors: Luo Minjing , Dong Yue , Fan Bingbing , Zhang Xinyue , Liu Hao , Liang Changhao , Rong Hongguo , Fei Yutong 
Published: May 2024

Background
The duration of sleep plays a crucial role in the development of physiological functions that impact health. However, little is known about the associations between sleep duration and functional disability among older adults in China.

Objective
This study aimed to explore the associations between sleep duration and functional disabilities in the older population (aged≥65 years) in China.

Methods
The data for this cross-sectional study were gathered from respondents 65 years and older who participated in the 2018 survey of the China Health and Retirement Longitudinal Study, an ongoing nationwide longitudinal investigation of Chinese adults. The duration of sleep per night was obtained through face-to-face interviews. Functional disability was assessed according to activities of daily living (ADL) and instrumental activities of daily living (IADL) scales. The association between sleep duration and functional disability was assessed by multivariable generalized linear models. A restricted cubic-spline model was used to explore the dose-response relationship between sleep duration and functional disability.

Results
In total, 5519 participants (n=2471, 44.77% men) were included in this study with a mean age of 73.67 years, including 2800 (50.73%) respondents with a functional disability, 1978 (35.83%) with ADL disability, and 2299 (41.66%) with IADL disability. After adjusting for potential confounders, the older adults reporting shorter (≤4, 5, or 6 hours) or longer (8, 9, or ≥10 hours) sleep durations per night exhibited a notably increased risk of functional disability compared to that of respondents who reported having 7 hours of sleep per night (all P<.05), which revealed a U-shaped association between sleep duration and dysfunction. When the sleep duration fell below 7 hours, increased sleep duration was associated with a significantly lower risk of functional disability (odds ratio [OR] 0.85, 95% CI 0.79-0.91; P<.001). When the sleep duration exceeded 7 hours, the risk of functional disability associated with a prolonged sleep duration increased (OR 1.16, 95% CI 1.05-1.29; P<.001).

Conclusions
Sleep durations shorter and longer than 7 hours were associated with a higher risk of functional disability among Chinese adults 65 years and older. Future studies are needed to explore intervention strategies for improving sleep duration with a particular focus on functional disability.
Effect of Corona Discharge Plasma Radiation on the Viability of True Shallot Seeds (Allium cepa L. var. aggregatum)
Authors: Firmansyah Imam , Prihastanti Erma , Suedy Sri Widodo Agung , Muhlisin Zaenul , Surahman Arif 
Published: May 2024

TSS (True Shallot Seed) need to be developed to address the quality and quality of shallot seeds. The seeds, however, still has constraints on its viability and germination. The objective of this study was to investigate the effect of corona discharge plasma radiation on the viability of true shallot seeds. The research was conducted in March - April 2023 at the Plasma Laboratory, Faculty of Science and Mathematics, Diponegoro University, and the germination test experiments at the the Agricultural Technology Research and Assessment Installation (IP2TP Ungaran). The experiment was designed completely randomized with 6 treatments of radiation time consisting of P0 (without radiation), P1 (5 min), P2 (10 min), P3 (15 min), P4 (20 min), and P5 (25 min). All treatments were carried out with 5 replications. The collected data were processed using ANOVA and then continued with the DMRT test. The results showed that the corona plasma radiation treatment for 15-25 min affected the parameters of germination, germination rate, seed growth rate, vigor index, seed uniformity, and sprout length. Keywords: Plasm, Radiation, Shallots, TSS.
The Path of Digital Protection and Innovative Development of Rural Traditional Cultural Resources Supported by Intelligent Information
Authors: Yang Qiaowei , Jiang Yishan 
Published: May 2024

Abstract
The digitized quality of rural traditional cultural resources is relatively low, and there are problems such as heterogeneity and incompleteness in the resource data, resulting in the limitation of related cultural data information mining and the inability to realize deep development and innovation. Therefore, this paper combines the fully connected neural network and fuzzy C-mean clustering algorithm to construct a cultural digital resource clustering model, and based on the clustering results combined with CR-LDA and collaborative filtering algorithm to achieve personalized recommendation of rural traditional cultural digital resources. The experimental results show that the clustering model combining a fully connected neural network and a fuzzy C-mean clustering algorithm has a better clustering effect than the other three clustering models, and it also shows good robustness and stability. In addition, although the collaborative filtering model combining the CR-LDA algorithm has a slight increase in runtime compared to the LDA model runtime, the classification accuracy is significantly improved. It thus can provide platform users with practical and reliable cultural resource recommendations. Most users indicated in the survey that they agreed with the results of the model’s personalized cultural digital resource recommendations.
Comparison of the clinical results of different approaches in the treatment of Schatzker V and VI tibial plateau fractures
Authors: Wang Yujia , He Weixin , Xu Zili 
Published: May 2024

Abstract
In order to compare the clinical effects of different access surgical approaches in the treatment of Schatzker type V and VI tibial plateau fractures, a total of 68 patients with Schatzker type V and VI tibial plateau fractures involving the posterior-lateral aspect admitted to our hospital from January 2020 to January 2022 were grouped based on the different surgical access approaches, of which Patients treated with medial combined posterior-lateral approach were recorded as Group A (n=34), and patients treated with posterior medial inverted L incision combined with anterior-lateral approach were recorded as Group B (n=34). The surgical indexes (operation time, intraoperative blood loss) of the two groups were observed and compared, and the clinical efficacy of the patients was evaluated based on the New York Surgical Hospital (HSS) scores and imaging review, as well as the postoperative complications and the quality of life of the patients. Through the experiment, the operation time and intraoperative blood loss index of group A were better than that of group B (P < 0.05); the HSS scores of the two groups were significantly improved with time (P < 0.05), and at the same time, based on the follow-up observation, there was no significant difference between the HSS scores of the two groups of patients in the period of 3, 6, and 12 months of follow-up (P > 0.05); up to the time of the last follow-up visit, the patients of the two groups had received the imaging examination, and no The mean knee range of motion in group A was 126. 32°±5. 48° (0-7°; 114-139°), and the mean knee range of motion in group B was 127.56°±6.78° (0-10°; 113-140°), and there was no statistically significant difference in the knee range of motion between the two groups (t=0.05). Range of motion was not statistically different (t=0.829, P=0.409); the incidence of postoperative complications in Group A was 14.71% (5/34) was slightly higher than the incidence of postoperative complications in Group B was 11.76% (4/34), but this difference was not significant (x2=0.128, P=0.720); the quality of life of patients in the two groups was improved over time (P<0.05) and based on the SF36 scale score at 6 and 12 months of follow-up there was no significant difference in the quality of life between the two groups (P > 0.05). The above results showed that the operation time and intraoperative bleeding of the medial combined posterior-lateral approach were less than that of the posterior medial inverted L incision combined anterior-lateral approach. Still, there was no significant difference between the two in terms of clinical efficacy and safety. The choice of surgical approach should be determined by combining the characteristics of fracture morphology, the objective conditions of instrumentation, and the patient’s individuality.
Visual Perception-Driven Renewal Design and Preservation of Traditional Industrial Heritage
Authors: Ye Ping , Kweon Jihoon , Bai Di 
Published: May 2024

Abstract
Traditional industrial heritage is a non-renewable resource with significant research value. In this paper, the features in traditional industrial heritage images are fused based on the YOLOv5s method driven by computer visual perception. The visual perception speed is improved by adjusting the scaling factor in the attention mechanism module of normalized weights, and the model is further enhanced by designing the lattice loss function. Furthermore, the research employs the fuzzy comprehensive evaluation method to investigate the level of public visual perception of traditional industrial heritage. The results show that the frequency of public perception of the characteristic street category and macro-scale industrial heritage is higher, 25.38% and 40.11%, respectively, and there is a significant difference in terms of the public’s impression of traditional industrial heritage among different permanent residences (p=0.015<0.05). The military-affiliated public had the highest mean perception score of 3.87 for traditional industrial heritage. The analysis of the public’s visual perception preference for industrial heritage sets the foundation for the renewal design of traditional industrial heritage and promotes the conservation process.
Analysis of the communication strategy of short videos on “Three Rural Issues” under the new media perspective
Authors: He Siying 
Published: May 2024

Abstract
With the rising number of “three rural” short videos, various problems faced in the process of increasing their dissemination influence have gradually come to the fore. This paper proposes a multivariate linear regression model based on the dissemination of “three rural” short videos. Determine the research problem, select the three most significant fan numbers of governmental TikTok numbers of the short video platform as the research object, and the author through the set of searchers, analysts, and other crawler software to obtain the research of the initial data. The purpose of the study was to determine the dependent variable and dependent variable. At the same time, the initial data of the study was tested for reliability, and multiple linear regression was used to empirically analyze the communication of short videos of three rural areas from the new media perspective. The results show that narrative style is significant (p<0.01) for communication effect (0.0015**), communication breadth (0.0018**), communication identity (0.0011**), and communication participation (0.0007**), indicating that different narrative styles have differences in communication effect, communication breadth, communication identity, and communication participation. The regression coefficients of non-presenter narratives in the three dimensions of communication breadth, communication identity, and communication participation are −1.213 (p<0.05), −1.336 (p<0.01), and −1.623 (p<0.01), all of which have a significant negative impact on non-participatory narratives. The findings of this paper have particular theoretical significance. They can provide empirical support for the study of the factors influencing the communication effects of short videos in agriculture-related and other categories.