bluuebunny/crossref_metadata_2025_split huggingface dataset:
Alat Pengatur Suhu Otomatis pada Kompor Gas Berbasis Internet of Things (IoT) dan Sensor Suhu Menggunakan Mikrokontroler Arduino
Authors: Surya Alfin , Mukhaiyar Riki 
Published: December 2024

Kompor merupakan salah satu alat utama yang digunakan dalam rumah tangga. Dalam kesehariannya ibu rumah tangga sering kali meninggalkan masakan diatas kompor untuk melakukan kegiatan lainnya. Upaya untuk mengatasi hal tersebut adalah dengan membuat suatu alat untuk mengatur suhu kompor gas secara otomatis untuk mengatur suhu makanan yang telah di-input-kan sebelumnya menggunakan keypad. Tujuan merancang dan membuat suatu alat yang bisa mengatur suhu kompor gas secara otomatis yang sesuai dengan suhu yang kita inginkan menggunakan IOT dan sensor suhu. Pengatur suhu otomatis pada kompor dapat mempermudah ibu rumah tangga dalam menentukan suhu masakan yang sesuai sehingga menjadi kompor alternatif untuk mempermudah pekerjaan. Pengembangan perangkat keras dan perangkat lunak untuk pengaturan suhu berbasis Internet of Things dengan metode Manual dan Otomatis. Tingkat Suhu yang dihasilkan bisa diatur melalui melalui keypad dan ditampilkan melalui LCD dan smartphone. Kompor dapat menstabilkan suhu pada wadah dengan bantuan sensor suhu dan servo sebagai penggerak tuas kompor. Suhu kompor dapat dipantau melalui smartphone untuk pengawasan terhadap koefisiennya alat yang telah dibuat
Revitalization Mechanism of Traditional Villages Based on Catalyst Theory: A Case Study of Leju Village in Yunnan Province, China
Authors: Tian Mengxi , Ding Shaohua 
Published: December 2024

Abstract
China’s traditional villages face inactivity, decline, landscape damage, loss of cultural heritage, and ineffective governance. The primary focus of current conservation and development efforts in traditional villages is on promoting the revitalization of traditional village vitality and establishing an effective mechanism for revitalization and governance. The rejuvenation of traditional village vitality is a comprehensive demonstration of the catalyst effect. This article explores the revival mechanism of traditional villages through a spatial catalyst, functional catalyst, and cultural catalyst based on studying the connotation and function of the catalyst theory, taking Leju Traditional Village in Kunming City, Yunnan Province, as an example. The research findings indicate that (1) Leju Traditional Village has successfully transformed from a state of population decline, architectural decay, industrial decline, and cultural erosion to a renowned tourist destination and historical and cultural village. It serves as a model for revitalizing traditional villages, rural tourism development, new rural area construction, and rural revitalization. (2) The article examines and summarizes the three revival processes of Leju Traditional Village. Under the spatial catalyst, economic growth in the village’s vicinity is stimulated, villagers’ living standards improve, the village’s ecological landscape is enhanced, and tourism emerges as a critical economic driver. Under the functional catalyst, traditional houses’ functions are adjusted and transformed, social interactions are revitalized, activity venues are expanded, and activities are diversified. Within the cultural catalyst, the restoration of the One Seal historical buildings and Yi ethnic minority culture contributes to preserving national spirituality and heritage. (3) Building upon the revival of the Leju Traditional Village, a regulatory mechanism for catalyzing traditional hollow villages is established, focusing on events, industry, and construction guidance. The findings enrich the theoretical framework of traditional village revival and provide practical guidance for revitalizing traditional villages.
Transmission Performance Optimization of Wireless Sensor Networks Driven by Artificial Intelligence
Authors: Chunhui Liu , Pengwei Yang , Ping Zhang , Chun Wang , Yinfu Bao 
Published: December 2024

Abstract
In this article, the transmission performance optimization of wireless sensor networks (WSN) is deeply studied, aiming at improving the transmission efficiency of WSN, reducing energy consumption and prolonging the network life through artificial intelligence (AI) technology. To accomplish the aforementioned goals, we devise an artificial intelligence-driven optimization model. This encompasses a detailed elucidation of the model’s conceptual framework, encompassing data preprocessing, feature selection, AI algorithm formulation, as well as verification and evaluation methodologies. Our experimental approach involves selecting representative WSN (Wireless Sensor Network) application contexts, with model efficacy validated through both simulated experiments and empirical investigations. The outcomes indicate that, when compared to the BPNN (Backpropagation Neural Network) technique, our proposed model notably enhances data transmission rates, mitigates latency and packet loss, and accomplishes superior energy management. It is concluded that artificial intelligence technology has obvious advantages in optimizing the transmission performance of WSN. A more efficient and reliable WSN system can be realized by intelligently sensing changes in network environment and dynamically adjusting transmission strategies.
III-harmonic Curves in
SL2ℝ˜
\widetilde {{\rm{S}}{{\rm{L}}_2}\mathbb{R}}
Space
Authors: Senoussi Bendehiba 
Published: December 2024

Abstract
Some work has been done in the study of non-geodesic III-harmonic curves in some model spaces. In this paper, we study III-harmonic curves in

SL

2

ℝ

˜

\widetilde {{\rm{S}}{{\rm{L}}_2}\mathbb{R}}

space. We give necessary and su cient conditions for helices to be III-harmonic. Also, we characterize III-harmonic curves in terms of their curvature and torsion.
Leaf herbivory in Miconia albicans (Melastomataceae): an evaluation of leaf position and age
Authors: Nogueira Rodrigo do Rosario 
Published: December 2024

Abstract
Leaf herbivory in Miconia albicans (Melastomataceae): an evaluation of leaf position and age – Abstract: Herbivory represents a critical interaction between insects and plants, involving physical defenses like trichomes that enhance plant resistance to herbivorous attacks, while galls—plant tumors— can drain nutrients from healthy tissues. This study aimed to assess foliar herbivory rates and analyze gall incidence in Miconia albicans in a cerrado stricto sensu area near Uberlândia, Minas Gerais, Brazil. From December 2013 to March 2014, herbivory rates were documented biweekly using a digital camera, with subsequent analysis performed using ImageJ software. A Wilcoxon signed-rank test was used to determine significant differences in herbivory rates between young and old leaves, while a GLMM test with beta error distribution followed by a Wald chi-square test examined variations in herbivory rates between high and low leaves. Fifteen plants were selected, marking one young and one old leaf, alongside one high and one low leaf. The incidence of galls was assessed across 50 randomly chosen plants, and the average number of galls per leaf was quantified in another 20 plants. The difference between galled and non-galled branches was analyzed using the Mann-Whitney test. Findings indicated no significant difference in herbivory rates between young and old leaves; however, higher leaves exhibited reduced herbivory rates compared to those in the lower strata, suggesting that leaf position significantly influences herbivory. Galls averaged 19 ± 9 per leaf, predominantly on older leaves. The shaded microclimates of lower strata likely contribute to increased herbivorous insect abundance, underscoring the impact of leaf position on herbivory rates.
Floating Photovoltaic Systems in Italy: Challenges and Future Prospects in an Uncertain Regulatory Framework
Authors: Tedioli Francesco 
Published: December 2024

Abstract
In recent years, floating photovoltaics (FPV) has emerged as a highly promising solution for integrating renewable energy production into the global energy landscape. This innovative technology involves the installation of solar panels on floating platforms, offering a number of advantages over traditional land-based photovoltaic systems. First and foremost FPV enables the use of existing water surfaces, such as artificial reservoirs, lakes, and basins, thereby overcoming limitations related to the availability of agricultural or urban land. This feature is particularly pertinent in geographic contexts characterised by high population density and limited land availability, as is the case in many regions of Italy. Furthermore, floating photovoltaics offer a number of additional environmental benefits. The shading effect of the solar panels on the water surface significantly reduces evaporation, thereby preserving a valuable resource like freshwater, which is particularly important in areas prone to drought. Additionally, the natural cooling effect of the water enhances the efficiency of the photovoltaic panels, increasing the production of electricity.
The Effectiveness of Agrarian Administration as the Basis for Protecting the Confidence of Agricultural Producers in Public Authority
Authors: Dobkowski Jarosław , Lipińska Izabela 
Published: December 2024

Abstract
The subject of the article is issues related to the efficiency of agricultural administration as a basis for protecting the confidence of agricultural producers in public authority. Agricultural activity is increasingly determined by the norms of administrative law. Specific in this case, the administration is entitled to build a certain institutional environment that allows it to appoint the bodies necessary for the implementation of the instruments that affect it, and thus to determine the activity of agricultural producers in the desired direction. The purpose of the article was to answer the question of what factor affects the level of confidence in public authority in agricultural producers in the course of their agricultural activities. The article concludes that the actual level of confidence in public authority depends on many factors, including, in particular, individual and collective confidence in the effective operation of the administrative apparatus.
Genetic diversity of the recovered populations of Mesocriconema xenoplax (Nematoda: Criconematidae) from orchards in Fars province, Southern Iran
Authors: Dehghan Ali Asghar , Ghaderi Reza , Karegar Akbar , Hesar Abbas Mokaram 
Published: December 2024

Abstract
In this survey, 14 populations of Mesocriconema xenoplax were collected from the rhizosphere of eight fruit and nut trees in Fars province, Southern Iran. The phylogenetic relationships of these populations with other representatives of the species were investigated using sequences of cytochrome c oxidase subunit 1 mitochondrial gene (COI) and D2-D3 expansion fragments of 28S rDNA. Phylogenetic studies indicated a close relationship of the currently sequenced populations with known haplotype groups (HG) in the COI tree and revealed two separate lineages in the 28S rDNA tree. Moreover, the genetic diversity of the populations was analyzed using seven ISSR primers as molecular markers. The estimated genetic diversity among populations regarding associated trees and geographic regions were low values of 3.3% and 5.9%, respectively, indicating high gene flow among the recovered nematode populations. On the other hand, the estimated fixation index (FST) was higher for associated plants than for geographic regions (0.611 vs 0.504) indicating that plant-based population segregation better explains genetic diversity in this species. This work expands our knowledge of the genetic structure of this cosmopolitan species of plant-parasitic nematodes.
Verification of Coordinate Measuring Machine Using a Gauge Block
Authors: Tóth Teodor , Dovica Miroslav , Buša Ján , Buša Ján 
Published: December 2024

Abstract
Two orthogonal least squares methods of the points approximation by a set of parallel planes are presented. Such an approximation can be used to study the measurement details of using a coordinate measuring machine (CMM). A calibrated gauge block and a CMM with a touch measuring probe were used in the experimental verification. A comparison of the different CMM strategies is provided.
Multimodal Brain Tumor Classification using Capsule Convolution Neural Network with Differential Evolution Optimization Process
Authors: Senthilkumar C , Alabdulkreem Eatedal , Alruwais Nuha , Suresh K 
Published: December 2024

Abstract
Manual identification of brain tumors is error-prone and time-consuming for radiologists. Therefore, automation of the process is crucial. Although binary classification, such as distinguishing between malignant and benign tumors, is often straightforward, radiologists face significant challenges when classifying multimodal brain tumors. In this study, we present an automated approach that uses deep learning to classify brain tumor types using many types of data. The proposed method consists of three sequential phases. First, the median filter is used to eliminate any noise. For feature extraction in the second stage, linear contrast enhancement is used on VGG-16. The meningioma, glioma, and pituitary images are identified in the third stage of the brain tumor classification (BTC) process, which uses a modified capsule convolution neural network (CNN) design. The experimental results show that the brain tumor detection technique presented in this study successfully identifies the locations of tumor lesions. The results obtained were notably superior, with an accuracy of 98.34 %, a precision of 97.84 %, a recall of 05.34 %, and an F1-score of 94.56 %.
Energy Efficient Multimedia Transmission in Wireless Sensor Networks using Enhanced Adaptive Transmission Control Algorithm and Measurement Techniques
Authors: Sumithra S , Prabhu Sandeep , Prabhakaran M , Prabu R Thandaiah 
Published: December 2024

Abstract
Wireless multimedia sensor networks (WMSNs) face challenges such as high energy consumption, latency, and ensuring secure data transmission, especially for real-time multimedia applications. To address these issues, this study proposes the enhanced adaptive transmission control algorithm (EATCA), which integrates a bidirectional long short-term memory (LSTM) model and chaos-based lightweight cryptography. EATCA optimizes energy consumption, reduces latency, and improves data security through the use of adaptive clustering and predictive transmission techniques. The algorithm uses meta-heuristic optimization for cluster head selection and fuzzy logic for route prioritization to ensure efficient data transmission. A chaos-based encryption scheme ensures data confidentiality with minimal computational overhead. The simulation results show that EATCA achieves 43.53 % lower energy consumption compared to traditional low energy adaptive cluster hierarchy (LEACH) protocols, a 96 % packet delivery ratio (PDR), and a 42 ms latency, making it suitable for time-sensitive multimedia applications. The system also achieves an 85 % compression ratio while maintaining security overhead as low as 7 %. These results make EATCA a reliable and energy-efficient solution for optimizing WMSNs and pave the way for scalable and secure network implementations.
Land use and agricultural plans as a tool for comprehensive implementation of spatial planning regulations for rural areas – A case study of Różan commune in Poland
Authors: Bielska Anna , Załęski Przemysław , Mroczkowski Robert 
Published: December 2024

Abstract
This paper emphasizes the importance of land use and agricultural plans in the spatial development of rural areas. The management of rural areas is one of the most important areas of action of the European Union. Planning and implementing a policy aimed at sustainable and multifunctional rural development is a major challenge for the Member States and their regions, as it involves numerous spatial changes. The Polish spatial planning policy lacks documents comprehensively regulating the management and shaping of rural areas, which is a factor that hinders their proper development. This necessitates the development of land use and agricultural plans which outline several solutions (land use and agricultural activities) to facilitate comprehensive management of rural areas. However, since there are no legal regulations in this area, they are not mandatory and therefore not widely adopted. This paper aims to set the objectives for a land use and agricultural plan for rural areas of the Różan commune, the implementation of which will aim at multifunctional and sustainable development of rural areas. The proposed indications will have a positive impact on the development of agriculture and non-agricultural functions, improvement of living and working conditions in the countryside, and protection of the natural environment in the commune. Due to the wide scope of spatial work included in the land use and agricultural plan, it is stated that this document can be used as an effective tool supporting comprehensive spatial planning in rural areas, significantly supporting the implementation of the provisions of local spatial development plans and other schemes. Comprehensive land consolidation is a special type of land use and agricultural activities, which brings multifaceted benefits.
Cardiovascular Disease Risks Related to Consumption of Ready-To-Eat Food Products between Young Adults of Kolkata, West Bengal, India
Authors: Choudhury Sudrita Roy , Das Poulomi , Koner Samarpita , Ghosh Joyeta , Singh Khusboo 
Published: December 2024

Background:
Cardiovascular diseases (CVDs) are the leading cause of mortality worldwide. In 2010, ischemic heart disease and strokes together claimed the lives of an estimated 13 million people globally, making about 25% of all deaths (compared to barely 1 in 5 deaths two decades previously). Over the past few decades, there has been a notable global growth in the consumption of ultra-processed foods. The term “ready-to-eat” or “ultra-processed foods” (UPF) refers to “formulations of ingredients, mostly for industrial use only, derived from a series of industrial processes”. UPF contributes significantly and steadily to the world’s food supply.The amount of industrially processed foods in the world’s food supply has expanded simultaneously with the incidence of obesity and non-communicable illnesses in many nations. They often have lower fiber and vitamin density, higher levels of added sugar, salt, saturated fat, and energy density, as well as a higher concentration of many of these nutrient supplements and characteristics that are particularly linked to cardio metabolic health.

Objectives:
Objective of the study is to understand the cardiovascular disease risks related to consumption of ready-to-Eat (RTE) food products among young adults in Kolkata, West Bengal, India.

Material and Methods:
This cross-sectional study was conducted among young adults, both male and female, between the ages of 20 and 30 who were living in Kolkata. The study duration was from April to July 2021. The same size was N = 150. The KAP (Knowledge, Attitude, and Practice) method was used in this study. The pretested, standardized questionnaires were made on the Google form, and the link was sent through the social media platform to the randomly selected people. Data was put in a Microsoft Excel worksheet (Microsoft, Redwoods, WA, USA) and checked for accuracy. The association between two attributes was calculated by Pearson’s chi-squared test using Statistical Package for the Social Sciences software (SPSS), version 20.0 (SPSS Inc., Chicago, IL, USA), and P < 0.05 was considered statistically significant.

Results:
In this cross-sectional study, 44.18% of males and 38% of females are overweight, whereas 39.71% of the population is ready to eat food on a regular basis. The consumption varies from one to three times a day. This regular consumption of ultra-processed and ready-to-eat (RTE) food, which is significantly associated with high BMI and overweight, can be a cause of cardiovascular, coronary heart, and cerebrovascular disease, respectively.

Conclusion:
To reduce the negative effects of ready-to-eat foods on obesity and cardiovascular health, it is essential to prioritize whole, unprocessed foods in the diet.
Awareness and Knowledge of Antibiotics and Antimicrobial Resistance among Beneficiaries Attending the General Outpatient Clinic of a Tertiary-level Hospital in India
Authors: Datta Mousumi , Mukherjee Poulomi , Ghosh Sarmistha 
Published: December 2024

Background:
Antimicrobial resistance (AMR) is one of the leading causes of worldwide mortality, directly responsible for 1.27 million deaths in 2019. Irrational antibiotic usage is widely reported in the literature and is the most important cause of AMR.

Objectives:
The objective of this study was to assess awareness and knowledge of antibiotics and AMR among patients attending the general outpatient department (GOPD) of a tertiary-level hospital.

Material and Methods:
This was a single-center, hospital-based, and descriptive study of cross-sectional design conducted in 2022. All patients aged 18 years or more attending GOPD on the data collection days were eligible to participate. One hundred and seventeen patients were interviewed using a structured schedule, following a systematic sampling design and maintaining standard ethical practice. Besides descriptive statistics, Chi-square tests were used to check for association between variables. All analyses were conducted by the Statistical Package for the Social Sciences version 23.

Results:
Mean age of the participants was 39.1 years (standard deviation ± 12.3), with 50.4% male. Awareness of antibiotics was 69.2%, while awareness of AMR was a mere 14.5%. Knowledge on antibiotics was higher for antibiotic use rather for antibiotic action. Higher awareness of antibiotics was for the male gender, higher education, and those who were single and currently working. Healthcare providers were the source of knowledge for this population.

Conclusion:
Awareness and prescription use of antibiotics was high with two out of three aware respondents having correct knowledge on the use of antibiotics. Low awareness of AMR may not sustain the good practice of prescription use of antibiotics.
Health Status of the Coal Mine Workers in an Open-cast Mine of Eastern India
Authors: Saha Asim , Sen Somnath , Bhowmik Kalyan , Das Anirban , Mahankuda Jai Sen , Dasgupta Tilak Kanti 
Published: December 2024

Background:
Coal mining in India has a long history of nearly 200 years. Coal mining can also increase the risk of coal workers’ pneumoconiosis, asthma, and chronic obstructive pulmonary diseases such as emphysema and chronic bronchitis.

Objectives:
This study was conducted with the objective of knowing the health effects of coal mining workers.

Material and Methods:
A cross-sectional study was conducted in an open-cast mine in Eastern India. Two hundred and fifty coal mine workers were included in the study. A questionnaire survey followed by a health examination of the study subjects was carried out. Workers actively involved in mining activity were included in this study.

Results:
The most common symptom complained by study subjects was musculoskeletal pain (16.8%). As far as the pulmonary function status of study subjects is concerned, about 7% of subjects had a restrictive type of abnormality. Obstructive type of abnormality was also present in a similar number of subjects.

Conclusion:
The current study has shown a higher prevalence of musculoskeletal pain than the national prevalence. Morbidity is more than the normal population. Health education was imparted among workers regarding chronic diseases and their risk factors.