bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the Income-Increasing Benefits of Rural E-Commerce in China: Implications for the Sustainable Development of Farmers
Authors: Qiu Hailan , Zhang Xueyi , Feng Mingrui , Zhang Zhenquan , Wang Jiawei , Wang Zhipeng
Published: August 2024

The slowdown in income not only hinders the sustainable development of farmers but also exacerbates ecological and environmental problems. Likewise, the digital economy model represented by e-commerce has become a key path for growing farmers’ income. This article is based on 2020 China Rural Revitalization Survey data and uses the OLS and mediation effect models to examine the impact and mechanism of e-commerce operations on farmers’ income. The research results indicate that e-commerce operations can significantly improve the income level of farmers. After robustness and endogeneity tests, this conclusion still holds. The mechanism analysis results indicate that e-commerce operations promote farmers’ income growth by enhancing information acquisition, reducing operating costs, and enhancing financial support. The results of the heterogeneity analysis indicate that the impact of e-commerce on farmers’ income is heterogeneous in terms of income structure, education level, and regional distribution. Specifically, e-commerce significantly increases farmers’ agricultural operating income, non-agricultural operating income, and transfer income but significantly reduces their wage income. At the same time, e-commerce has a more significant income-increasing effect on highly educated and central and western farmers. Therefore, in promoting the development of a rural digital economy, it is necessary to improve the supporting facilities of e-commerce in rural areas; strengthen the supply of information, technology, capital, talent, and other elements; continue to improve the inclusiveness of rural e-commerce; and promote the sustainable growth of farmers’ income. The above findings not only provide new channels and ideas for farmers to increase income through e-commerce operations, but also help relevant decision-making departments to formulate new policies to promote farmers’ income growth and the development of e-commerce in China.
Numerical Study of an Energy Storage Container with a Flat Plate Phase Change Unit Characterized by an S-Shaped Flow Channel
Authors: Guo Zhanjun , Liu Sen , Wang Jiali , Xu Yanping , Kang Zhangyang , Zhang Jinsheng
Published: August 2024

China’s rapid economic development and rising energy consumption have led to significant challenges in energy supply and demand. While wind and solar energy are clean alternatives, they do not always align with the varying energy needs across different times and regions. Concurrently, China produces substantial amounts of industrial waste heat annually. Effective recycling of this waste heat could substantially mitigate energy supply and demand issues. The Mobile Thermal Energy Storage (M-TES) system is a key solution to address these challenges, as it helps manage the uneven distribution of energy over time and space. This article establishes a packaged M-TES based on a plate-type phase change unit. Based on different placement methods of the plate-type phase change unit, different inlet temperatures and phase change temperature differences, and different inlet and outlet directions, the complete charging and discharging process of the packaged phase change thermal storage system was simulated using ANSYS FLUENT 2022 R1 software. The results showed that during the heating process of the entire system, the horizontal placement of the plate-type phase change unit and the inlet and outlet methods of the heat transfer fluid (HTF) significantly improved the heating effect of the system, increasing it by 15.9%. Increasing the temperature difference between the inlet temperature of the heat transfer fluid and the melting temperature of the phase change material (PCM) from 4 K to 19 K can increase the melting rate of PCM by approximately 54.9%
Do Firms Follow through on Environmental Commitments? An Empirical Examination
Authors: Hardcopf Rick , Linderman Kevin , Shah Rachna
Published: August 2024

In response to ever-increasing pressure from stakeholders to reduce the impact of their operations and supply chain on the natural environment, firms frequently make public commitments to improve environmental performance. However, the commitments are difficult to validate and thus of unknown quality. Understanding whether and when the commitments are valid proxies for action is essential because they are used by environmentally conscious stakeholders to assess firm environmental performance in anticipation of buying from, investing in, working for, or selling to a firm. Results from examining 442 U.S. manufacturing firms show that firms generally follow through on such commitments. Larger firms and firms with better environmental performance are more likely to follow through. However, firms tend not to follow through if they are experiencing negative environmental publicity or resource constraints at the time of the commitment. The results provide important insights for environmentally conscious stakeholders who use the commitments to determine whether to buy from, invest in, work for, or supply to a firm. The study also highlights the benefits to firm leaders of following through and provides input towards ideas that can increase follow-through. Finally, the study contributes to several streams of the research literature, including the literature evaluating environmental management, environment commitments, and environmental accidents.
Blue Carbon as a Nature-Based Mitigation Solution in Temperate Zones
Authors: Cinar Mine , Hilmi Nathalie , Arruda Gisele , Elsler Laura , Safa Alain , van de Water Jeroen A. J. M.
Published: August 2024

Concern for the future requires local steward-led cooperation between natural and social scientists and decision-makers to develop informed and policy-relevant nature-based mitigation solutions, including blue carbon (BC), which can help secure the future. Salt marshes, kelp forests, and seagrass meadows (and to a lesser extent mangroves) are significant BC ecosystems in temperate areas. We discuss the concept of blue carbon stocks and the scientific approaches to building BC stocks considering the variability in local conditions and the co-benefits of blue carbon ecosystems to improve climate change mitigation and adaptation mechanisms. The study examines (1) methods to assess the potential of BC ecosystems and the impact of disturbances, while (2) building relevant policy based on socio-economic assessments of impacted communities. We highlight economic and social approaches to rebuilding BC using financial tools such as blue bonds, development plans, cost-benefit analyses, cross-ecosystem restoration projects, AI and blockchain, and economic accounts of coastal ecosystems, while emphasizing that cutting carbon emissions is more important than (re)building BC stocks.
Solving the QLY Least Squares Problem of Dual Quaternion Matrix Equation Based on STP of Dual Quaternion Matrices
Authors: Tao Ruyu , Li Ying , Zhang Mingcui , Liu Xiaochen , Wei Musheng
Published: August 2024

Dual algebra plays an important role in kinematic synthesis and dynamic analysis, but there are still few studies on dual quaternion matrix theory. This paper provides an efficient method for solving the QLY least squares problem of the dual quaternion matrix equation AXB+CYD≈E, where X, Y are unknown dual quaternion matrices with special structures. First, we define a semi-tensor product of dual quaternion matrices and study its properties, which can be used to achieve the equivalent form of the dual quaternion matrix equation. Then, by using the dual representation of dual quaternion and the GH-representation of special dual quaternion matrices, we study the expression of QLY least squares Hermitian solution of the dual quaternion matrix equation AXB+CYD≈E. The algorithm is given and the numerical examples are provided to illustrate the efficiency of the method.
Artificial Intelligence and the Great Reset: Impacts and Perspectives for Italian SMEs Business Model Innovation
Authors: Muto Valerio , Luongo Simone , Percuoco Martina , Tani Mario
Published: August 2024

The rise of artificial intelligence is fundamentally transforming the competitive landscape across various sectors, offering visionary enterprises new pathways to innovation development and to get a competitive edge. AI leverages data, analysis, and observations to perform tasks without hard coding, and benefits from self-learning and continuous improvement. We use Systems Thinking to frame how managers may adopt and integrate AI in business activities. We also investigate the motivations driving entrepreneurs to adopt AI solutions, and how they may impact on sustainable business model innovation, by administering a questionnaire to a sample of innovative Italian SMEs to get a comprehensive overview of the dynamics influencing AI adoption in business. This study sheds light on the intricate relationship between technology, sustainability, and corporate innovation. It offers both valuable insights for future research and for strategic managerial decisions on AI integration. Furthermore, it helps the development of innovative, sustainable business models in the evolving landscape of the Great Reset.
Fault Detection of Wheelset Bearings through Vibration-Sound Fusion Data Based on Grey Wolf Optimizer and Support Vector Machine
Authors: Wang Tianhao , Meng Hongying , Zhang Fan , Qin Rui
Published: August 2024

This study aims to detect faults in wheelset bearings by analyzing vibration-sound fusion data, proposing a novel method based on Grey Wolf Optimizer (GWO) and Support Vector Machine (SVM). Wheelset bearings play a vital role in transportation. However, malfunctions in the bearing might result in extensive periods of inactivity and maintenance, disrupting supply chains, increasing operational costs, and causing delays that affect both businesses and consumers. Fast fault identification is crucial for minimizing maintenance expenses. In this paper, we proposed a new integration of GWO for optimizing SVM hyperparameters, specifically tailored for handling sound-vibration signals in fault detection. We have developed a new fault detection method that efficiently processes fusion data and performs rapid analysis and prediction within 0.0027 milliseconds per data segment, achieving a test accuracy of 98.3%. Compared to the SVM and neural network models built in MATLAB, the proposed method demonstrates superior detection performance. Overall, the GWO-SVM-based method proposed in this study shows significant advantages in fault detection of wheelset bearing vibrations, providing an efficient and reliable solution that is expected to reduce maintenance costs and improve the operational efficiency and reliability of equipment.
Factors of Authenticity: Exploring Santorini’s Heritage Hotels
Authors: Sarantakou Efthymia , Tsamos Georgios , Vlami Aimilia , Christidou Agni , Maniati Evridiki
Published: August 2024

The purpose of this article is to investigate the factors that influence the authenticity of heritage hotels in popular tourist destinations. Using the Greek island of Santorini as a case study, the following three (3) factors, which have not been systematically studied so far, are examined and appear to have a significant impact on authenticity in the conversion of a heritage architectural building into a heritage hotel: (a) its structural characteristics, (b) the influence of the star classification system and (c) the extent to which each business promotes authenticity elements and heritage identity. For the purposes of this study, a threefold methodological approach was conducted, which includes archival research in the registry of the Hellenic Chamber of Hotels for all the heritage hotels in Santorini (69 units), research in the accounting data of the island’s heritage hotels certified with the national star ranking system for their services and amenities and research analysis of the information regarding the promotion of the heritage hotels through their official websites. Additionally, a cartographic representation of the locations of these hotels was created and their positioning was compared to the boundaries of traditional or non-traditional settlements. The results validated the basic finding of the literature review, that the authenticity of a heritage hotel is a construction under constant negotiation, influenced by a multitude of factors. The conversion of a historic building into a heritage hotel is a multidimensional process that requires a delicate balance between preserving cultural value and adapting to the needs of modern tourism, as well as a continuous evaluation and review of the policies in place.
The Association between Metals and Thyroid Cancer in Puerto Rico—A National Health and Nutrition Examination Survey Analysis and Ecological Study
Authors: Shaked Yaelle , Yang Jessica , Monaghan Mathilda , van Gerwen Maaike
Published: August 2024

Thyroid cancer rates have risen globally over the past four decades, with Puerto Rico experiencing a particularly pronounced increase. This may be linked to higher metal exposure, as some metals are endocrine disruptors and carcinogens. Currently, certain regions of Puerto Rico have Superfund programs because of high concentrations of metals in the soil. Therefore, we investigated the association between thyroid cancer incidence and three metals (lead, cadmium, and mercury) with known endocrine-disrupting properties and increased levels in soil samples in Puerto Rico. We used the National Health and Nutrition Examination Survey (NHANES) data for heavy metal levels and the thyroglobulin antibody (TgAb) as a thyroid cancer marker. Additionally, we performed an ecological study using data from the Environmental Protection Agency (EPA) report on Metals from Natural and Anthropogenic Sources in Puerto Rico Soils and data from the Puerto Rico Central Cancer Registry on age-adjusted thyroid cancer incidence rates from 2015 to 2019. Through NHANES analysis, we found a significant negative association between mercury and TgAb. Through our ecological study, we observed higher thyroid cancer incidence rates and increased metal levels in the soil in the northern parts of Puerto Rico. Our heterogenous results necessitate further research on this topic.
New Report of Cyanobacteria and Cyanotoxins in El Pañe Reservoir: A Threat for Water Quality in High-Andean Sources from PERU
Authors: Rodriguez Uro Victor Hugo , Azevedo Joana , Araújo Mário Jorge , Silva Raquel , Bedoya Jürgen , Paredes Betty , Ranilla Cesar , Vasconcelos Vitor , Campos Alexandre
Published: August 2024

Cyanobacteria are cosmopolitan organisms; nonetheless, climate change and eutrophication are increasing the occurrence of cyanobacteria blooms (cyanoblooms), thereby raising the risk of cyanotoxins in water sources used for drinking, agriculture, and livestock. This study aimed to determine the presence of cyanobacteria, including toxigenic cyanobacteria and the occurrence of cyanotoxins in the El Pañe reservoir located in the high-Andean region, Arequipa, Peru, to support water quality management. The study included morphological observation of cyanobacteria, molecular determination of cyanobacteria (16S rRNA analysis), and analysis of cyanotoxins encoding genes (mcyA for microcystins, cyrJ for cylindrospermopsins, sxtl for saxitoxins, and AnaC for anatoxins). In parallel, chemical analysis using Liquid Chromatography coupled with Mass Spectrometry (LC-MS/MS) was performed to detect the presence of cyanotoxins (microcystins, cylindrospermopsin, saxitoxin, and anatoxin, among others) and quantification of Microcystin-LR. Morphological data show the presence of Dolichospermum sp., which was confirmed by molecular analysis. Microcystis sp. was also detected through 16S rRNA analysis and the presence of mcyA gene related to microcystin production was found in both cyanobacteria. Furthermore, microcystin-LR and demethylated microcystin-LR were identified by chemical analysis. The highest concentrations of microcystin-LR were 40.60 and 25.18 µg/L, in May and November 2022, respectively. Microcystins were detected in cyanobacteria biomass. In contrast, toxins in water (dissolved) were not detected. Microcystin concentrations exceeded many times the values established in Peruvian regulation and the World Health Organization (WHO) in water intended for human consumption (1 µg/L). This first comprehensive report integrates morphological, molecular, and chemical data and confirms the presence of two toxigenic cyanobacteria and the presence of microcystins in El Pañe reservoir. This work points out the need to implement continuous monitoring of cyanobacteria and cyanotoxins in the reservoir and effective water management measures to protect the human population from exposure to these contaminants.
Combined Heart-Liver Transplant vs. Heart Transplant Alone: A Single Center Experience
Authors: Mazumder Ritika , Ford Andrew , Sims Omar T. , Modaresi Esfeh Jamak
Published: August 2024

Combined heart-liver transplantation (CHLT) is a viable option for concurrent heart and liver failure, yet its indications are unclear. This preliminary study aimed to describe pre-transplant characteristics and outcomes of patients with liver fibrosis undergoing HT and CHLT, while exploring decompensated liver dysfunction following HT. A total of 52 patients (HT = 42; CHLT = 10) were included. In HT patients, F1 fibrosis was more common (52%), with 43% exhibiting F3 or F4 fibrosis. F4 fibrosis was predominant in the CHLT patients (80%). Post-hepatic portal hypertension was present in 62% of HT and 90% of CHLT patients. None progressed to liver decompensation (i.e., new ascites, variceal bleed, jaundice, hepatic hydrothorax, or hepatic encephalopathy) after HT. Over a median follow-up period of 3.7 [IQR 1.2–9.1] years, the two groups did not differ statistically in survival (p = 0.60). Altogether, HT and CHLT may have similar survival outcomes, and HT patients may not progress to decompensation postoperatively despite advanced fibrosis. Decompensated cirrhosis could serve as a factor for identifying CHLT candidates, but it is crucial to differentiate it from post-hepatic portal hypertension, which does not necessitate liver transplant. Further research is needed to determine selection criteria for CHLT, ensuring efficient utility of organs.
On Quark–Lepton Mixing and the Leptonic CP Violation
Authors: Giarnetti Alessio , Marciano Simone , Meloni Davide
Published: August 2024

In the absence of a Grand Unified Theory framework, connecting the values of the mixing parameters in the quark-and-lepton sector is a difficult task, unless one introduces ad hoc relations among the matrices that diagonalize such different kinds of fermions. In this paper, we discuss in detail the possibility that the PMNS matrix is given by the product UPMNS=VCKM★T★, where T comes from the diagonalization of a see-saw like mass matrix that can be of a Bimaximal (BM), Tri-Bimaximal (TBM) and Golden Ratio (GR) form, and identify the leading corrections to such patterns that allow for a good fit to the leptonic mixing matrix as well as to the CP phase. We also show that the modified versions of BM, TBM and GR can easily accommodate the solar and atmospheric mass differences.
Strange and Odd Morphology Extragalactic Radio Sources (STROMERSs): A Faint Images of the Radio Sky at Twenty-Centimeters (FIRST) Look at the Strange and Odd Radio Sources
Authors: Bera Soumen Kumar , Sasmal Tapan K. , Mondal Soumen , Fang Taotao , Chen Xuelei
Published: August 2024

We report the identification of an extremely rare and peculiar set of irregular radio sources, termed “STROMERSs” (STRange and Odd Morphology Extragalactic Radio Sources).ingThe irregular radio sources with very anomalous morphologies that make them exceptionally different from all the known classes and subclasses of irregular radio sources are detected as STROMERSs. A thorough search for this class of sources from the Very Large Array (VLA) Faint Images of the Radio Sky at Twenty-Centimeters (FIRST) gave a total of nine such candidates. We checked the corresponding morphology of the identified sources in other frequency surveys. We found a detectable radio emission for all of the nine sources in the NRAO VLA Sky Survey (NVSS) at 1.4 GHz and in the TIFR GMRT Sky Survey (TGSS) at 150 MHz, while the same was found for only three sources in the Westerbork Northern Sky Survey (WENSS) at 625 MHz. However, the strange morphology was not found in all of those other survey images. We also characterized the sources with their corresponding physical parameters like optical counterpart, size, spectral index, and radio luminosity. ingThe estimated spectral values of the sources indicated that the STROMERSs were most likely radio galaxies. The presence of any nearby galaxy clusters for the STROMERSs was also checked.
Porcine Astrovirus Infection in Brains of Pigs in Korea
Authors: Park Jun-Soo , Jeong Chang-Gi , Chae Su-Beom , Yang Myeon-Sik , Oh Byungkwan , Lee Sook-Young , Oem Jae-Ku
Published: August 2024

Recently, neurological diseases associated with astroviruses (AstVs) have been reported in pigs, ruminants, minks, and humans. In 2017, neuro-invasive porcine astrovirus (Ni-PAstV) 3 was detected in the central nervous system (CNS) of pigs with encephalomyelitis in Hungary and the USA. In the process of diagnosing domestic pigs exhibiting neurological signs, histopathologic lesions of non-suppurative encephalomyelitis with meningitis, neuronal vacuolation, and gliosis were detected, and PAstV was identified using reverse transcriptase PCR in CNS samples of four pigs in three farms from August to September in 2020, South Korea. Subsequently, the ORF2 region was successfully acquired from three brain samples, facilitating subsequent analysis. Four genotypes of PAstV (PAstV1, 3, 4, and 5) were detected, and coinfection of PAstV with multiple genotypes was observed in brain samples. This is the first study to report Ni-PAstV infection in pigs in South Korea.
Active Immunotherapy for the Prevention of Alzheimer’s and Parkinson’s Disease
Authors: Vroom Madeline M. , Dodart Jean-Cosme
Published: August 2024

Neurodegenerative diseases (ND) give rise to significant declines in motor, autonomic, behavioral, and cognitive functions. Of these conditions, Alzheimer’s disease (AD) and Parkinson’s disease (PD) are the most prevalent, impacting over 55 million people worldwide. Given the staggering financial toll on the global economy and their widespread manifestation, NDs represent a critical issue for healthcare systems worldwide. Current treatment options merely seek to provide symptomatic relief or slow the rate of functional decline and remain financially inaccessible to many patients. Indeed, no therapy has yet demonstrated the potential to halt the trajectory of NDs, let alone reverse them. It is now recognized that brain accumulation of pathological variants of AD- or PD-associated proteins (i.e., amyloid-β, Tau, α-synuclein) begins years to decades before the onset of clinical symptoms. Accordingly, there is an urgent need to pursue therapies that prevent the neurodegenerative processes associated with pathological protein aggregation long before a clinical diagnosis can be made. These therapies must be safe, convenient, and affordable to ensure broad coverage in at-risk populations. Based on the need to intervene long before clinical symptoms appear, in this review, we present a rationale for greater investment to support the development of active immunotherapy for the prevention of the two most common NDs based on their safety profile, ability to specifically target pathological proteins, as well as the significantly lower costs associated with manufacturing and distribution, which stands to expand accessibility to millions of people globally.
Attitudes toward Adolescent HPV Vaccination after the COVID-19 Pandemic: A National Survey of Mothers
Authors: Glauberman Gary , Liebermann Erica , Kornides Melanie L. , Matsunaga Masako , Lim Eunjung , Zimet Gregory , Fontenot Holly B.
Published: August 2024

In the United States, vaccination rates for many routinely recommended vaccines have recovered to pre-pandemic levels, yet human papillomavirus (HPV) vaccination rates still lag pre-pandemic levels. This study sought to uncover the potential effects of the pandemic on attitudes about the HPV vaccine, and factors associated with changes in attitudes. We conducted a national survey (n = 3968) of U.S. mothers with children aged 9–17 years. Outcome variables measured changes in attitude toward the HPV vaccine following the pandemic. Two logistic regression models identified predictors of (1) those who did not have attitude changes (always negative vs. always positive), and (2) those who reported attitude changes (change to negative vs. change to positive). Attitudes toward the HPV vaccine remained unchanged in 78.9% of participants (58.1% positive, 20.8% negative). Of the 21.1% reporting changed attitudes, 9.6% changed to positive and 11.5% to negative. Those reporting changing to a negative attitude had a greater odds of reporting conservative political views, and being unsure/undecided about vaccinating their child against HPV compared to those who reported changing to a positive attitude. Targeted strategies are needed to address erosion in confidence in the HPV vaccine and other vaccines resulting from mis- and disinformation associated with the COVID-19 pandemic and future pandemics.
Immunogenicity and Protective Efficacy of Baculovirus-Expressed SARS-CoV-2 Envelope Protein in Mice as a Universal Vaccine Candidate
Authors: Oğuzoğlu Tuba Çiğdem , Hanifehnezhad Alireza , Khabbazi Saber Delpasand , Karayel-Hacıoğlu İlke , Kaynarcalıdan Onur , Fırat Zehra , Filazi Nazlıcan , Erdem-Şahinkesen Eda , Gül Buket , Karabulut Muhammed Cesim , Koba Enes , Adıgüzel Ece , Şenlik Elif İrem , Korkulu Emrah , Demirden Cansu , Şahinkesen İlker , Ceylan Ahmet , Muratoğlu Hacer , Vural Sevil , Demirbağ Zihni , Özkul Aykut
Published: August 2024

The envelope (env) protein of SARS-CoV-2, a pivotal component of the viral architecture, plays a multifaceted role in viral assembly, replication, pathogenesis, and ion channel activity. These features make it a significant target for understanding virus–host interactions and developing vaccines to combat COVID-19. Recent structural studies provide valuable insights into the conformational dynamics and membrane topology of the SARS-CoV-2 env protein, shedding light on its functional mechanisms. The strong homology and highly conserved structure of the SARS-CoV-2 env protein shape its immunogenicity and functional characteristics. This study examines the ability of the recombinant SARS-CoV-2 env protein to stimulate an immune response. In this study, recombinant envelope proteins were produced using the baculovirus expression system, and their potential efficacy was evaluated in both in vivo and in vitro models. Our results reveal that the env protein of SARS-CoV-2 stimulates humoral and cellular responses and highlight its potential as a promising vaccine candidate for combating the ongoing pandemic.
Use of the PRECEDE-PROCEED Model in Piloting Vaccine Promotion and Infection Self-Protection: Intervention Development and Effectiveness Examination
Authors: Xie Yao Jie , Tian Longben , Deng Yunyang , Yang Lin , Cheung Kin , Li Yan , Wang Harry Haoxiang , Hao Chun , Siu Gilman Kit Hang , Zhang Qingpeng , Molassiotis Alex , Leung Angela Yee Man
Published: August 2024

Objectives: This study aimed to tailor and pilot a health education program using the PRECEDE-PROCEED model to promote vaccination and enhance self-protective behaviors against COVID-19 in Hong Kong populations. Study design: Quasi-experimental study. Methods: Phases 1–4 of the PRECEDE-PROCEED model were used to identify the needs for COVID-19 prevention. Strategies to address predisposing, reinforcing, and enabling factors in the PRECEDE-PROCEED model were developed, and an intervention package was generated thereafter. A pre–post experimental study was conducted among 50 participants to preliminarily assess the effects of the intervention based on Phases 5 and 8 of the PRECEDE-PROCEED model. Results: The 3-month intervention package contained 16 health education videos, 36 health tips, individual consultations, regular reminders of vaccination, incentive of anti-epidemic packages, and vaccine booking services. By the third month, 33 participants took a new dose of COVID-19 vaccine, and 5 participants withdrew. The vaccination rate for new dose achieved 73.3% (95% CI: 58.06–85.40%). Compared with the Hong Kong population in the same period, our study demonstrated higher increase in vaccination rate (9.97 vs. 1.36 doses per 1000 person-days). The percentage of early testing in personal and family level increased to 86.7% and 84.4%, respectively (both p < 0.05). For correct mask wearing and hand washing, the scores increased from a baseline score of 9.1 ± 1.6 and 4.9 ± 1.3 to 9.5 ± 1.0 and 5.3 ± 1.2, respectively (both p < 0.05). Conclusions: The application of the PRECEDE-PROCEED model effectively facilitated the stepwise development, implementation, and evaluation of a health education program for improving vaccination rates and fostering self-protective behaviors against infections.
Mapping the Environmental Risk of Fluoride Exposure of Drinking Water in a Community of Zacatecas, Mexico
Authors: Martínez-Acuña Mónica Imelda , Reyes-Hernández Humberto , Covarrubias Sergio A. , Martínez-Esquivel Rosa Adriana , Estudillo-Wong Luis Alberto
Published: August 2024

Fluoride (iF) is an inorganic element commonly present in groundwater in central Mexico and is considered a health risk when it exceeds the Mexican drinking water standard of 1.5 mg/L. Prolonged exposure to iF can cause various adverse health effects, such as dental fluorosis and neurological effects, particularly in children. A rapid and cost-effective strategy to identify possible areas where the resident population may be at risk of exposure to this contaminant is the health risk estimation methodology of the Pan American Health Organization (PAHO). The aim of this study was to estimate the environmental risk of iF exposure in residents of Jerez, Zacatecas, Mexico, and subsequently construct risk maps to identify areas of the city where there is a higher risk of exposure. Fifty-five tap water samples were collected from households to determine iF concentrations using the ion-selective electrode method. Based on these environmental values, the hazard quotient (HQ) was estimated following the health risk estimation methodology. Subsequently, risk maps were generated from these values to visualize the spatial distribution of high-risk areas within the city. The iF concentrations in tap water ranged from 1.3 to 7.3 mg/L (ppm), with only one sample below the standard of 1.5 mg/L. We estimated HQ values ranging from 0.63 to 3.73. Exposure to iF in tap water is a health problem that must be addressed, necessitating risk communication actions that enable the population to safeguard its health through simple measures, thereby avoiding future health costs.
Pengaruh Service Quality dan User Experience Terhadap Kepuasan Pelanggan (Studi Kasus Perumahan Givency One)
Authors: Panjaitan Tabita , Tarigan Eka Dewi Setia , Siregar Dahrul
Published: August 2024

The aim of this research is to determine the influence of Service Quality and User Experience on Customer Satisfaction (Case Study of Givency One Housing) both directly and indirectly. This research approach is associative. The population was 797 Givency One Housing Customers and the sample was 89 Givency One Housing Customers. Data collection techniques in this research used interview techniques, documentation studies, observations and questionnaires. The data analysis technique in this research uses Multiple Linear Regression Analysis Test, Hypothesis Test (t Test and F Test), and Coefficient of Determination. Data processing in this research used the SPSS (Statistical Package for the Social Sciences) software program version 29.00.
Smartphone-Based Heart Disease Classification Using Machine Learning Techniques
Authors: Jamtsho Yonten , Wangmo Sonam
Published: August 2024

Patients having heart diseases are diagnosed with a severe delay at times and further diagnosis in the absence of medical personnel can be fatal if the prediction is inaccurate. Therefore, this paper proposes the use of heart disease datasets to predict heart disease using various machine learning methods (Logistic Regression, Naive Bayes, Random Forest, k-nearest Neighbor, Support Vector Machine, Decision Tree Classifier, XGBoost Classifier, Artificial Neural Network). Cleveland, Hungarian, Switzerland, Long Beach VA and Statlog (Heart) datasets were used in this study which has 11 features of 1190 instances. The dataset was split into train and test sets with a ratio of 80:20. The performance was evaluated based on the accuracy, precision, recall, and F1 score for each of the models. From the eight models, the XGBoost Classifier outperformed other models with an accuracy of 93.7%. The trained model was integrated with the Android Studio framework to create the mobile application for the classification of heart disease.
Plant Nutrition Monitoring System for Water Spinach Based on Internet of Things
Authors: Alviana Sopian , Dwi Nugraha Rizki , Kurniawan Bobi
Published: August 2024

The concept of plants using a hydroponic system has been widely used. Currently, the weakness in the management of the hydroponic system is the difficulty in managing the nutritional needs of plants. Nutrition is the main requirement for plants with the concept of a hydroponic system. In this research, a system will be proposed that can monitor the nutritional needs of hydroponic plants with a concentration of water spinach plants. The use of internet of things technology is proposed to be able to monitor in real time. With the existence of a monitoring system in real time, it can make it easier to monitor and control the nutritional needs of kangkong plants using a smartphone.
Healthcare Diseases Classification Based on Machine Leaning Algorithms: A Review
Authors: Mohammed Ahmed Jameel , M. Abdulazeez Adnan
Published: August 2024

Researchers have increasingly focused on applying machine learning algorithms to enhance healthcare operations in the past few years. Machine learning has become increasingly popular and has shown to be a viable strategy for raising the standard of healthcare, preventing disease transmission and early disease detection, reducing hospital operational expenses, aiding government healthcare programs, and enhancing healthcare efficiency. This review offers a succinct and well-structured summary of machine learning research that has been done in the field of healthcare. Specifically, the emphasis is placed on the examination of non-communicable illnesses, which pose a significant risk to public health and rank among the primary contributors to global mortality. Moreover, the COVID-19 pandemic, which is among the world's deadliest illnesses and has recently been formally declared a public health emergency, is included. This study aims to assist health sector researchers in choosing appropriate algorithms. After conducting a comprehensive investigation, it was shown that the Decision Tree (DT), Gaussian Naive Bayes (GNB), and Random Forest (RF), algorithms had the highest performance in healthcare classification, achieving a remarkable accuracy rate of 100%. In most tests, the Random Forest (RF) and Support Vector Machine (SVM) demonstrated consistently better performance
Testing and Analysis of PIM Performance in a Passive DAS Network - Experimental Approach
Authors: Aniru Muhammed Abudu , Omoavowere Emagbetere Joy
Published: August 2024

Passive intermodulation (PIM) poses a significant challenge in telecommunication networks, with potentially severe impacts on network performance and signal integrity if not addressed during the initial deployment phase. This study investigates PIM levels within a passive distributed antenna system (DAS) network for cellular mobile radio communication across multiple floors of a building. The network comprises coaxial cables, connectors, splitters, combiners, and antennas structured in a systematic plan. This work used the experimental method to test for PIM in the network used for this investigation. Designed as a multicarrier system, it handles RF signals across frequencies of 700/850MHz, 1900MHz, 2100MHz, and 2600MHz. On-site PIM testing was conducted during the network deployment phase to analyze the behavior of high-power RF signals. Utilizing Kaelus iQA-1921C and iQA 850C series PIM analyzers, tests were conducted following known industry codes and standards. High RF power was preset to 43dBm for full band, 35dBm for high bands, and 25dBm for low band. The test equipment was calibrated on high PIM load and low PIM load. Test points were selected at both vertical and horizontal subsystem cabling structures, focusing on riser cables. The standard baseline performance PIM levels was set to -150dBc. The analysis focused on examining the characteristics of PIM signals captured via time-domain PIM traces, investigating the impact of altering the frequency of the two-tone signal on the IM3 frequency component, and highlighting the importance of selecting an appropriate frequency for the two-tone signal that is not positioned near the edges. Results were based on pass or fail test, and resolution measures were taken to mitigate interference.
Management of individual human capital in the career of employees of organizations
Authors: Cherepanov A. V. , Rekhtina G. A.
Published: August 2024

The article presents the author's graphical representation of the system of career management methods based on the concept of human capital of the organization. The authors propose an algorithm for using instruments for diagnosing motivation in the selection of employees for the formation of vectors of career advancement. The main substantive aspects of the human capital accounting and assessment tools are highlighted.
Pages that leave a mark: the role of storytelling in the development of language, cognition, and memory in children
Authors: Faria Sônia , Salles Débora , Pereira Liliane Desgualdo
Published: August 2024

Children's literature plays various roles in the development of children, serving as an important pedagogical, didactic, and therapeutic tool. Fables and tales represent a global heritage, spanning generations, eras, and locations, responsible for educating, entertaining, and raising awareness in diverse populations. In this integrative review, it aims to gather studies on the importance and effects of storytelling, linking this act to its role in the child population and seeking to understand if there are already known effects in the literature that correlate it with the development of memory in these individuals. To this end, the present study was conducted through the search for published works available in the PubMed, Scielo, and Google Scholar databases, using the PICo qualitative strategy for integrative reviews. In this way, it is observed that this act has repercussions in various aspects of child development. From shaping values to aiding in the school environment, reducing anxiety, developing linguistic and auditory skills, as well as improving working memory in these individuals. Therefore, storytelling is not just a recreational activity but an essential practice that profoundly influences the emotional, cognitive, and linguistic well-being of children, directly related to their memory development. This review has contributed to the understanding that the telling and retelling of stories can be used as an intervention tool.
TỔNG HỢP PHỨC CHẤT LANTAN BENZOAT VÀ NGHIÊN CỨU KHẢ NĂNG ỨC CHẾ ĂN MÒN CỦA CHÚNG TRÊN NỀN KẼM
Authors: Hoàng Trần Minh , Linh Phạm Diệu , Lệ Chu Thị Minh , Anh Phan Tuấn , Thùy Phạm Thu , Thắng Đàm Xuân , Dương Nguyễn Thùy
Published: August 2024

Trong nghiên cứu này, chúng tôi trình bày kết quả tổng hợp phức chất lantan benzoate (LaBz) và phân tích khả năng ức chế ăn mòn của nó đối với nền kim loại kẽm, mở ra tiềm năng ứng dụng trong việc phát triển lớp phủ bảo vệ cho kim loại kẽm. Hình thái cấu trúc của phức chất LaBz được xác định bằng phổ hồng ngoại (FTIR), ảnh kính hiển vi điện tử quét (SEM) và phân tích nhiệt trọng lượng (TGA). Phương pháp điện hóa được sử dụng để đánh giá khả năng ức chế ăn mòn kẽm của phức chất LaBz. Các kết quả thực nghiệm thu được cho thấy phức LaBz có kích thước khoảng 30 nm và khá đồng đều. Khả năng ức chế ăn mòn của phức chất LaBz trong dung dịch NaCl 0,1 M trong 2 giờ đạt hiệu suất là 68,53%. Nghiên cứu này đã đề xuất một loại ức chế ăn mòn hiệu quả cho nền kẽm và định hướng ứng dụng trong lớp phủ bảo vệ cho nền kim loại kẽm.
NGHIÊN CỨU ẢNH HƯỞNG CỦA MÔI TRƯỜNG XỬ LÝ NHIỆT ĐẾN CẤU TRÚC CỦA THÉP X42Cr13 CHẾ TẠO BẰNG CÔNG NGHỆ IN 3D DÂY
Authors: Trung Trịnh Văn , Sơn Nguyễn Anh , Đức Nguyễn Văn , Chính Đặng Đình , Khánh Phạm Gia
Published: August 2024

Nghiên cứu này được tiến hành nhằm khảo sát ảnh hưởng của môi trường xử lý nhiệt (trong khí Ar hoặc trong không khí) đến tổ chức của thép không gỉ X42Cr13 được in bằng công nghệ in 3D dây. Các mẫu thép X42Cr13 sau khi in 3D dây sẽ được xử lý nhiệt nung ở 600 oC (trong 150 phút) trong môi trường khí Ar hoặc môi trường không khí. Các thiết bị phân tích gồm thiết bị chụp ảnh tia X, kính hiển vi quang học kỹ thuật số, nhiễu xạ tia X, kính hiển vi điện tử quét (SEM) kèm theo phổ phân tán năng lượng (EDS) được sử dụng để nghiên cứu sự thay đổi tổ chức thép khi xử lý ở các môi trường khác nhau. Kết quả nghiên cứu cho thấy xử lý nhiệt trong môi trường không khí thì việc loại bỏ chất kết dính trong thành phần dây in 3D sẽ triệt để hơn so với việc xử lý nhiệt trong môi trường Ar. Tuy nhiên, xử lý nhiệt trong môi trường không khí dễ gây ôxi hóa (tạo thành Fe2O3) hơn so với xử lý trong môi trường Ar. Nghiên cứu cho thấy công nghệ hậu xử lý nhiệt (ủ) là rất cần thiết để loại bỏ các chất kết dính trong các vật in được chế tạo bằng công nghệ in 3D dây.
HIỆN ĐẠI HÓA KÍNH HIỂN VI ĐO LƯỜNG VẠN NĂNG UIM-21 SỬ DỤNG TRONG CƠ KHÍ CHÍNH XÁC
Authors: Biên Bùi Đức
Published: August 2024

Trong cơ khí chính xác, kính hiển vi đo lường được sử dụng rộng rãi để xác định các kích thước thẳng và kích thước góc của các chi tiết cơ khí trong hệ tọa độ đề các vuông góc hoặc tọa độ cực. Hiện nay, nhiều kính hiển vi đo lường thế hệ cũ có hệ quang học đã xuống cấp dẫn đến quá trình đo gặp nhiều khó khăn, gây ra sai số lớn, phần tính toán thực hiện thủ công nên năng suất đo không cao. Nghiên cứu hướng đến hiện đại hóa các thiết bị này bằng cách thay thế hệ thống đo quang học kiểu cổ điển bằng hệ thống thước quang điện tử và xây dựng phần mềm hỗ trợ tính toán cho phép khôi phục các chức năng đã xuống cấp, nâng cao hiệu suất và độ chính xác. Phần mềm đo được phát triển sử dụng ngôn ngữ lập trình Graphic, tích hợp các bài đo cơ bản trên cơ sở dữ liệu thu được từ hệ thống thước quang, cho phép lưu trữ kết quả và thông tin phép đo. Kính hiển vi đo lường sau hiện đại hóa có thông số đo lường quan trọng như phạm vi đo tới 200 mm, độ phân giải 0,0002 mm, sai số không vượt quá (3 + L/30) µm với L là chiều dài đo tính bằng mm. Phần mềm đo chuyên dụng góp phần làm giảm thời gian trên mỗi lần đo, nâng cao năng suất và tiện lợi hơn cho người sử dụng.
ĐIỀU KHIỂN NHIỆT ĐỘ VÀ MỨC CHẤT LỎNG TRONG BÌNH TRỘN ỨNG DỤNG PHƯƠNG PHÁP MỜ TRÊN MÔ HÌNH THỰC
Authors: Tùng Ngô Mạnh , Lập Bùi Trọng , Thoa Đỗ Thị Kim , Hạnh Nguyễn Hồng , Quỳnh Cao Thị Như , Nhã Phí Hoàng
Published: August 2024

Nhiệt độ và mức chất lỏng là những thông số quan trọng trong dây chuyền sản xuất thực phẩm và đồ uống. Trong bình trộn nguyên liệu, hai vòng điều khiển nhiệt độ và mức chất lỏng không hoàn toàn độc lập, mà chúng có sự tương tác chéo gây khó khăn trong việc kiểm soát từng đại lượng. Nghiên cứu này đề xuất và thiết kế ứng dụng bộ điều khiển tích hợp PID- mờ nhằm giảm thiểu sự ảnh hưởng lẫn nhau giữa vòng điều chỉnh nhiệt độ và điều chỉnh mức. Cấu trúc điều khiển tích hợp đề xuất dựa trên các quy tắc mờ đảm bảo tín hiệu đầu ra tối ưu và nâng cao sự ổn định của hai biến nhiệt độ và mức. Việc tích hợp thông tin mờ cũng làm hạn chế sự ảnh hưởng của nhiễu hệ thống tới chất lượng điều khiển. Kết quả và tính khả thi của bộ điều khiển đề xuất được tiến hành thực nghiệm trên module CE117 của hãng Tecquipment. Hai đại lượng đầu ra là nhiệt độ và mức chất lỏng duy trì ổn định bám theo giá trị đặt trong các trường hợp thay đổi điểm đặt và sự cố biến thiên của biến nhiễu.
THAN SINH HỌC LƯU GIỮ CARBON VÀ GIẢM PHÁT THẢI KHÍ NHÀ KÍNH (CH4 và N2O)
Authors: Phương Nguyễn Đạt
Published: August 2024

Mục tiêu của bài báo này là trình bày về các ứng dụng của than sinh học trong việc lưu giữ carbon và giảm phát thải khí nhà kính. Bài báo được tổng hợp từ các nghiên cứu đã công bố trên các tạp chí uy tín trong nước và quốc tế có chỉ số ISI hoặc Scopus. Kết quả các nghiên cứu này cho thấy than sinh học có khả năng lưu giữ carbon và giảm phát thải khí nhà kính (CH4 và N2O), khả năng giảm phát thải cao nhất của CH4 là 50% và giảm phát thải N2O là 39%. Tuy nhiên, vẫn có một số nghiên cứu cho rằng than sinh học bổ sung vào đất không làm giảm phát thải CH4 và N2O mà thậm chí còn làm tăng phát thải CH4 và N2O. Điều này có thể do cơ sở dữ liệu và cách tiếp cận phân tích tổng hợp khác nhau. Do đó cần có nhiều nghiên cứu nữa để chứng minh rõ cơ chế làm giảm phát thải CH4 và N2O của than sinh học.
THIẾT KẾ CƠ CẤU CHỐT KHOÁ HỤT DẪN ĐỘNG ỨNG DỤNG TRONG CHỐNG DẪN ĐỘNG NGƯỢC THỨ CẤP
Authors: Long Phạm Thành , Hà Nguyễn Hoàng
Published: August 2024

Nghiên cứu này trình bày kỹ thuật thiết kế một chốt khoá (khoá cửa, khoákét sắt) có hai cơ cấu hãm lùi song song là hãm sơ cấp và hãm thứ cấp. Két sắt là sản phẩm luôn đòi hỏi các sáng tạo mới để đạt hiệu quả bảo vệ cao nhất trước các kiểu can thiệp phi pháp đa dạng và ngày càng được hỗ trợ bởi nhiều dụng cụ cầm tay mạnh mẽ hơn. Một trong những nguy cơ đã gặp trên thực tế là khoan xuyên vào đầu chốt và đập cho nó lùi lại. Dạng phá này hiệu quả rõ rệt vì cơ cấu khoá hãm chính dạng hãm xoay tập trung thường sử dụng khoá bi nhanh chóng bị vỡ dưới tác dụng ngoại lực lớn cộng với độ lệch tâm lớn. Giải pháp mà tôi đề xuất là thêm một bộ phận hãm thứ cấp chống chốt bị đẩy lùi hay nói cách khác ngăn chặn phản lực truyền vào cơ cấu khoá sơ cấp. Cách thức thực hiện khoá này là tạo ra một cơ cấu hụt dẫn động có quỹ đạo khi dẫn động thuận từ tay xoay khoá và dẫn động ngược (đập vào chốt khoá) là khác nhau. Từ kết quả khảo sát hai quỹ đạo thuận và ngược này sẽ chọn được vị trí đặt một gối tỳ cứng ngăn cản chuyển động lùi lại của chốt khi dẫn động ngược nhưng không cản trở khi dẫn động thuận. Ứng dụng của thiết kế này rất đa dạng từ chốt khoá đến các cơ cấu duy trì lực kẹp phổ biến trong chế tạo máy cần tháo lắp nhanh.
NGHIÊN CỨU ÁP DỤNG PHƯƠNG PHÁP TMDL TÍNH TOÁN TẢI LƯỢNG NGÀY TỐI ĐA CỦA CÁC THÀNH PHẦN Ô NHIỄM N, P, BOD CHO CÁC ĐOẠN SÔNG CẦU VỚI MỤC ĐÍCH SỬ DỤNG NƯỚC KHÁC NHAU
Authors: Hoàng Bùi Huy
Published: August 2024

Xác định tải lượng ngày tối đa cho các đoạn sông là công việc quan trọng phục vụ kiểm soát chất lượng nước trong lưu vực sông trên cơ sở tổng tải lượng ô nhiễm. Bài báo này trình bày kết quả tính toán tải lượng ngày tối đa của các thành phần ô nhiễm N, P cho các đoạn sông Cầu đi qua tỉnh Thái Nguyên với mục đích sử dụng nước khác nhau. Mô hình thủy văn SWAT và mô hình chất lượng nước QUAL2K được thiết lập, hiệu chỉnh và kiểm định với số liệu quan trắc trong giai đoạn 2004-2019 và được sử dụng để mô phỏng dòng chảy và chất lượng nước trong lưu vực sông. Tải lượng tối đa ngày của N, P, BOD được tính toán cho kịch bản dòng chảy là dòng chảy kiệt. Kết quả tính toán tải lượng tối đa ngày đối với NH4 là 19,1 tấn/ngày, PO4, tương ứng là 3,6 tấn/ngày và BOD là 93,1 tấn/ngày. Kết quả nhận được làm cơ sở cho việc đề xuất một số giải pháp phục vụ mục đích cải thiện môi trường nước cho lưu vực sông Cầu.