bluuebunny/crossref_metadata_2025 huggingface dataset:
A Simple Water Sample Storage Test for Water Isotope Analysis
Authors: Nigro Matteo , Žagar Klara , Vreča Polona
Published: June 2024

Water is pivotal for human societies’ sustainability and resilience. Isotope hydrology and hydrogeology research plays an important role in understanding and managing water resources. Reliable scientific results hinge on high-quality data. Preventing water sample evaporation is essential for accurate isotopic analysis. In this study, the impacts on the quality of isotopic data were tested for the storage of water samples and the repetitive opening of a laboratory reference material (LRM) sub-sample replica during daily operation. Twenty 15 mL water samples were stored in high-density polyethylene (HDPE) bottles at room temperature and humidity to simulate storage conditions. One 60 mL water sample was collected from the same starting batch to simulate the LRM sub-sample. Each 15 mL sample was analysed once over 80 days for the isotopic composition of oxygen (δ18O) and hydrogen (δ2H). The 60 mL sample was repeatedly analysed in the same period. The data were tested to identify shifts in the isotopic composition induced by evaporative processes. The main results of the work are the following: (i) storage of the 15 mL water samples did not cause detectable evaporation in the testing period; (ii) the 60 mL δ18O values showed evidence of evaporation as proved by the positive shift of the isotopic data; (iii) the repetitive opening of the 60 mL sample was the main cause of evaporation; (iv) five openings can already cause detectable isotopic enrichment. Careful manipulation and frequent replacement of the LRM are thus necessary to prevent deterioration of the quality of the analyses.
The Role of Last-Mile Delivery Quality and Satisfaction in Online Retail Experience: An Empirical Analysis
Authors: Aljohani Khalid
Published: June 2024

The rise of the e-commerce industry has markedly changed the global economy, providing customers with unparalleled access to goods and services. This study empirically examines online shoppers’ perceptions and preferences, focusing on their experiences with last-mile delivery (LMD) services and its impact on their shopping behaviour. This research employs machine learning classification and regression models for a large-scale analysis of customers’ responses, collected using an online survey in the main cities in Saudi Arabia, which is experiencing rapid e-commerce growth amidst a broader digital transformation. The findings highlight a strong consumer preference for timely LMD services, typically within a day of purchase, while noting dissatisfaction with exceedingly early delivery windows. The research emphasises the need to address customer dissatisfaction with delivery services to retain clientele, as many may switch retailers without informing the retailers. Additionally, a considerable trend towards preferring digital over cash-on-delivery payment methods was observed among online shoppers. Overall, this study provides valuable insights into the significant influence of LMD services on customer satisfaction and behaviour in the e-commerce sector. The use of robust machine learning models has revealed critical factors that can guide retailers and LMD providers in enhancing service delivery and customer experience, contributing to the broader discourse on e-commerce logistics efficiency and customer satisfaction.
Challenges and Remediation Strategies for Per- and Polyfluoroalkyl Substances (PFAS) Contamination in Composting
Authors: Khair Biek Sali , Khudur Leadin S. , Ball Andrew S.
Published: June 2024

Municipal solid waste (MSW) is projected to rise to 3.4 billion tonnes by 2050, with only 33% undergoing environmentally friendly management practices. Achieving a circular economy involves sustainable approaches, among which diverting waste from landfills to composting plays a crucial role. However, many of the products society uses and discards in MSW daily contain per- and polyfluoroalkyl substances (PFAS), raising concerns that composts may inadvertently introduce PFAS into the environment, posing a significant challenge to waste management and environmental sustainability. PFAS have been detected in compost at concentrations ranging between 1.26–11.84 µg/kg. Composts are therefore a source of PFAS contamination, posing risks to human and ecosystem health. Impactful technologies are therefore required for PFAS remediation during the composting process. This review examines the composting process as a sustainable organic waste management technology, examining the various systems employed, compost quality, and uses, particularly emphasising the challenge posed by PFAS contamination. The review provides novel insights into possible PFAS remediation technologies. A comprehensive understanding of PFAS origin, fate, and transformation during the composting process is lacking, creating substantial knowledge gaps regarding the inputs processes contributing most to PFAS accumulation in the final product. Addressing these gaps in future studies is crucial for minimising PFAS discharge into the environment and developing an effective remediation approach. This review highlights the urgent need for innovative solutions to mitigate PFAS contamination in compost and the importance of advancing research and technology to achieve sustainable waste management objectives.
How to Enhance Consumer’s Engagement with Returnable Cup Services? A Study of a Strategic Approach to Achieve Environmental Sustainability
Authors: Yang Derrick Jessey , Chiu Tseng-Ping , Ma Min-Yuan
Published: June 2024

The issue of sustainability has once again received attention and promotion in the post-COVID-19 pandemic era. Countries worldwide have launched returnable cup services for beverages, such as Taiwan, which is a highly developed market for hand-shaken drinks, and various beverage and convenience stores have been gradually launching this service. However, reasonable usage rates have yet to be achieved. This study aimed to explore the psychological cognition of using a returnable cups service by understanding the motivation affecting the behavior intention through external and internal influencing and categorizing realistic cognition, which observes the motivating factors from three perspectives: passively acquired awareness, autonomous consciousness, and perception in real life for further achieving environmental sustainability. Research found that when consumers’ environmental awareness is insufficient to sacrifice convenience, it is necessary to employ a service strategy design for passive influence. The focal point for influencing consumer attitudes lies in the backend of services, particularly in cup return, which is the chain-closing juncture. The result can provide the beverage industry and governments with a reference to promote returnable cups and contribute to plastic reduction in sustainable development.
Multilevel Change of Urban Green Space and Spatiotemporal Heterogeneity Analysis of Driving Factors
Authors: Wang Huimin , Lin Canrui , Ou Sihua , Feng Qianying , Guo Kui , Wei Xiaojian , Xie Jiazhou
Published: June 2024

Analyzing the change trend of urban green space (UGS) and exploring related driving forces can provide scientific reference for sustainable development in rapidly urbanizing areas. However, the spatial and temporal driving mechanisms of the drivers on UGS patterns at different scales are still not deeply understood. Based on the GlobeLand30 land cover data, nighttime lighting data and spatial statistics from 2000 to 2020, this study analyzed the size, shape and diversity of UGS in Guangzhou at the urban level, gradient level and township level with multiple landscape indices. Diversity means the richness of UGS patch types. The selected indices include percent of landscape (PLAND), largest path index (LPI), landscape shape index (LSI), aggregation index (AI) and Shannon’s diversity index (SHDI). The spatiotemporal heterogeneity of the drivers was then explored using the spatiotemporal weighted regression (GTWR) method. Results showed the following: (1) During 2000−2020, the total amount of UGS in Guangzhou increased slightly and then decreased gradually. UGS was mainly transferred into artificial surfaces (lands modified by human activities). (2) The UGS landscape showed a non-linear trend along the urban–rural gradient and fluctuated more in the interval of 20–60% urbanization level. PLAND, LPI and AI decreased significantly in areas with higher levels of urbanization. LSI increased and SHDI decreased significantly in areas with lower levels of urbanization. At township level, the landscape indices showed significant spatial autocorrelation. They transformed from discrete changes at the edge and at the junction of the administrative district to large-scale aggregated change, especially in northern areas. (3) The size of UGSs was mainly influenced by natural factors and population density, but their shape and diversity were mainly influenced by socio-economic factors. More regular shapes of green patches were expected in higher urbanization areas. Population agglomeration positively influenced green space patterns in the northeastern and southern regions (Zengcheng, Conghua and Nansha). Meanwhile the negative influence of urban expansion on the green space pattern in the central and southern regions decreased over time. This study contributes to an in-depth understanding of how the key factors affect the different changes of UGS with time and space and provides methodological support for the long-term zoning planning and management of UGS.
Urban Heat Island Assessment in the Northeastern State Capitals in Brazil Using Sentinel-3 SLSTR Satellite Data
Authors: Fernandes Rodrigo , Ferreira Antonio , Nascimento Victor , Freitas Marcos , Ometto Jean
Published: June 2024

The lack of a solid methodology defining urban and non-urban areas has hindered accurately estimating the Surface Urban Heat Island (SUHI). This study addresses this issue by using the official national urban areas limit together with a surrounding areas classification to define three different reference classes: the urban adjacent (Ua), the future urban adjacent (FUa), and the peri-urban (PUa), consequently providing a more accurate SUHI estimation on the nine northeastern Brazilian capitals. The land surface temperature was obtained in this study using the Sentinel-3 satellite data for 2019 and 2020. Subsequently, the maximum and average SUHI and the complementary indexes, specifically the Urban Thermal Field Variation Index (UTFVI) and the Thermal Discomfort Index (TDI), were calculated. The UTFVI expresses how harmful the eco-environmental spaces are, with a very strong SUHI for three capitals. In addition, the TDI, with values between 24.6–28.8 °C, expresses the population’s thermal comfort, with six capitals showing a very hot TDI. These findings highlight the need for strategies to mitigate the effects of the SUHI and ensure the population’s thermal comfort. Therefore, this study provides a better SUHI understanding and comparison for the Brazilian northeastern region, which has diverse areas, populations, and demographic variations.
A New Adaptive Levenberg–Marquardt Method for Nonlinear Equations and Its Convergence Rate under the Hölderian Local Error Bound Condition
Authors: Han Yang , Rui Shaoping
Published: June 2024

The Levenberg–Marquardt (LM) method is one of the most significant methods for solving nonlinear equations as well as symmetric and asymmetric linear equations. To improve the method, this paper proposes a new adaptive LM algorithm by modifying the LM parameter, combining the trust region technique and the non-monotone technique. It is interesting that the new algorithm is constantly optimized by adaptively choosing the LM parameter. To evaluate the effectiveness of the new algorithm, we conduct tests using various examples. To extend the convergence results, we prove the convergence of the new algorithm under the Hölderian local error bound condition rather than the commonly used local error bound condition. Theoretical analysis and numerical results show that the new algorithm is stable and effective.
Integrating Multi-Access Edge Computing (MEC) into Open 5G Core
Authors: Xavier Ruben , Silva Rogério S. , Ribeiro Maria , Moreira Waldir , Freitas Leandro , Oliveira-Jr Antonio
Published: June 2024

Multi-Access Edge Computing (MEC) represents the central concept that enables the creation of new applications and services that bring the benefits of edge computing to networks and users. By implementing applications and services at the edge, close to users and their devices, it becomes possible to take advantage of extremely low latency, substantial bandwidth, and optimized resource usage. However, enabling this approach requires careful integration between the MEC framework and the open 5G core. This work is dedicated to designing a new service that extends the functionality of the Multi-Access Traffic Steering (MTS) API, acting as a strategic bridge between the realms of MEC and the 5G core. To accomplish this objective, we utilize free5GC (open-source project for 5G core) as our 5G core, deployed on the Kubernetes cluster. The proposed service is validated using this framework, involving scenarios of high user density. To conclude whether the discussed solution is valid, KPIs of 5G MEC applications described in the scientific community were sought to use as a comparison parameter. The results indicate that the service effectively addresses the described issues while demonstrating its feasibility in various use cases such as e-Health, Paramedic Support, Smart Home, and Smart Farms.
Liver and Kidney Transplantation in Elderly Patients
Authors: Guzzi John , Strand Eric , Ozturk Burhan , Agarkov Daniel , Deshpande Ranjit
Published: June 2024

Due to an aging population, advances in multiple medical fields, and shifts among indications for surgery, liver and kidney transplantation is increasingly pursued for elderly patients (aged 65 or greater). Elderly patients represent a uniquely vulnerable group, but overall, they appear to have similar outcomes compared to younger patients. As demographics continue to trend to an older median age, physicians and health care systems must be prepared to take care of elderly transplant candidates.
Clinical Factors Associated with SFTS Diagnosis and Severity in Cats
Authors: Osako Hiromu , Xu Qiang , Nabeshima Takeshi , Balingit Jean Claude , Nwe Khine Mya , Yu Fuxun , Inoue Shingo , Hayasaka Daisuke , Ngwe Tun Mya Myat , Morita Kouichi , Takamatsu Yuki
Published: June 2024

Severe fever with thrombocytopenia syndrome (SFTS) is a potentially fatal tick-borne zoonosis caused by SFTS virus (SFTSV). In addition to tick bites, animal-to-human transmission of SFTSV has been reported, but little is known about feline SFTSV infection. In this study, we analyzed data on 187 cats with suspected SFTS to identify biomarkers for SFTS diagnosis and clinical outcome. Body weight, red and white blood cell and platelet counts, and serum aspartate aminotransferase and total bilirubin levels were useful for SFTS diagnosis, whereas alanine aminotransferase, aspartate aminotransferase and serum SFTSV RNA levels were associated with clinical outcome. We developed a scoring model to predict SFTSV infection. In addition, we performed a phylogenetic analysis to reveal the relationship between disease severity and viral strain. This study provides comprehensive information on feline SFTS and could contribute to the protection of cat owners, community members, and veterinarians from the risk of cat-transmitted SFTSV infection.
The Application of Newcastle Disease Virus (NDV): Vaccine Vectors and Tumor Therapy
Authors: Yang Huiming , Tian Jiaxin , Zhao Jing , Zhao Ye , Zhang Guozhong
Published: June 2024

Newcastle disease virus (NDV) is an avian pathogen with an unsegmented negative-strand RNA genome that belongs to the Paramyxoviridae family. While primarily pathogenic in birds, NDV presents no threat to human health, rendering it a safe candidate for various biomedical applications. Extensive research has highlighted the potential of NDV as a vector for vaccine development and gene therapy, owing to its transcriptional modularity, low recombination rate, and lack of a DNA phase during replication. Furthermore, NDV exhibits oncolytic capabilities, efficiently eliciting antitumor immune responses, thereby positioning it as a promising therapeutic agent for cancer treatment. This article comprehensively reviews the biological characteristics of NDV, elucidates the molecular mechanisms underlying its oncolytic properties, and discusses its applications in the fields of vaccine vector development and tumor therapy.
Diagnosis and Characterization of Plant Viruses Using HTS to Support Virus Management and Tomato Breeding
Authors: González-Pérez Enrique , Chiquito-Almanza Elizabeth , Villalobos-Reyes Salvador , Canul-Ku Jaime , Anaya-López José Luis
Published: June 2024

Viral diseases pose a significant threat to tomato crops (Solanum lycopersicum L.), one of the world’s most economically important vegetable crops. The limited genetic diversity of cultivated tomatoes contributes to their high susceptibility to viral infections. To address this challenge, tomato breeding programs must harness the genetic resources found in native populations and wild relatives. Breeding efforts may aim to develop broad-spectrum resistance against the virome. To identify the viruses naturally infecting 19 advanced lines, derived from native tomatoes, high-throughput sequencing (HTS) of small RNAs and confirmation with PCR and RT-PCR were used. Single and mixed infections with tomato mosaic virus (ToMV), tomato golden mosaic virus (ToGMoV), and pepper huasteco yellow vein virus (PHYVV) were detected. The complete consensus genomes of three variants of Mexican ToMV isolates were reconstructed, potentially forming a new ToMV clade with a distinct 3’ UTR. The absence of reported mutations associated with resistance-breaking to ToMV suggests that the Tm-1, Tm-2, and Tm-22 genes could theoretically be used to confer resistance. However, the high mutation rates and a 63 nucleotide insertion in the 3’ UTR, as well as amino acid mutations in the ORFs encoding 126 KDa, 183 KDa, and MP of Mexican ToMV isolates, suggest that it is necessary to evaluate the capacity of these variants to overcome Tm-1, Tm-2, and Tm-22 resistance genes. This evaluation, along with the characterization of advanced lines using molecular markers linked to these resistant genes, will be addressed in future studies as part of the breeding strategy. This study emphasizes the importance of using HTS for accurate identification and characterization of plant viruses that naturally infect tomato germplasm based on the consensus genome sequences. This study provides crucial insights to select appropriate disease management strategies and resistance genes and guide breeding efforts toward the development of virus-resistant tomato varieties.
Exploring Dengue Dynamics: A Multi-Scale Analysis of Spatio-Temporal Trends in Ibagué, Colombia
Authors: Otero Julian , Tabares Alejandra , Santos-Vega Mauricio
Published: June 2024

Our study examines how dengue fever incidence is associated with spatial (demographic and socioeconomic) alongside temporal (environmental) factors at multiple scales in the city of Ibagué, located in the Andean region of Colombia. We used the dengue incidence in Ibagué from 2013 to 2018 to examine the associations with climate, socioeconomic, and demographic factors from the national census and satellite imagery at four levels of local spatial aggregation. We used geographically weighted regression (GWR) to identify the relevant socioeconomic and demographic predictors, and we then integrated them with environmental variables into hierarchical models using integrated nested Laplace approximation (INLA) to analyze the spatio-temporal interactions. Our findings show a significant effect of spatial variables across the different levels of aggregation, including human population density, gas and sewage connection, percentage of woman and children, and percentage of population with a higher education degree. Lagged temporal variables displayed consistent patterns across all levels of spatial aggregation, with higher temperatures and lower precipitation at short lags showing an increase in the relative risk (RR). A comparative evaluation of the models at different levels of aggregation revealed that, while higher aggregation levels often yield a better overall model fit, finer levels offer more detailed insights into the localized impacts of socioeconomic and demographic variables on dengue incidence. Our results underscore the importance of considering macro and micro-level factors in epidemiological modeling, and they highlight the potential for targeted public health interventions based on localized risk factor analyses. Notably, the intermediate levels emerged as the most informative, thereby balancing spatial heterogeneity and case distribution density, as well as providing a robust framework for understanding the spatial determinants of dengue.
Battery Management for Improved Performance in Hybrid Electric Vehicles
Authors: Armenta-Déu Carlos
Published: June 2024

This study aims to improve the battery performance in hybrid electric vehicles (HEVs) by reducing the vehicle speed. We developed a specific protocol for managing battery use and optimizing the energy consumption rate to achieve this goal. The protocol automatically controls the driving operation, avoiding incompatible driving patterns with an energy-saving mode and performance improvement. This protocol was applied to a simulation process to predict energy rate lowering and battery performance enhancement. The proposed protocol applies to any hybrid electric vehicle type and any route conditions since it uses vehicle mass, drag and rolling coefficients, and road slope as variable parameters to determine the minimum energy consumption rate. We performed experimental tests to validate the simulation data and the proposed protocol. Furthermore, the protocol applies to variable starting vehicle speeds, from 10 to 50 km/h, corresponding to the current driving patterns, sport, normal, and eco, set up by car manufacturers. A reduction of 10% in vehicle speed in urban and peripheral routes achieves a minimum energy rate, enhancing battery management. Current vehicle speed shows a deviation from optimum management of 18% while applying vehicle speed reduction limits the deviation to 0.2%. Experimental results show a good agreement with simulation data, with 94% accuracy. We tested the protocol for urban and peripheral routes with maximum vehicle speed limits of 60 and 90 km/h.
Rainfall-Triggered Landslides and Numerical Modeling of Subsequent Debris Flows at Kalli Village of Suntar Formation in the Lesser Himalayas in Nepal
Authors: KC Diwakar , Naqvi Mohammad Wasif , Dangi Harish , Hu Liangbo
Published: June 2024

Hazardous debris flows are common in the tectonically active young Himalayas. The present study is focused on the recurrent, almost seasonal, landslides and debris flows initiated from Kalli village in Achham District of Nepal, located in the Lesser Himalayas. Such geological hazards pose a significant threat to the neighboring communities. The field survey reveals vulnerable engineering geological conditions and adverse environmental factors in the study area. It is found that a typical complete debris transport process may consist of two stages depending on the rainfall intensity. In the first stage, debris flows mobilized from a landslide have low mobility and their runout distance is quite modest; in the second stage, with an increase in water content they are able to travel a longer distance. Numerical simulations based on a multi-phase flow model are conducted to analyze the characteristics of the debris flows in motion, including the debris deposition profiles and runout distances in both stages. Overall, the numerical results are reasonably consistent with relevant field observations. Future debris flows may likely occur again in this area due to the presence of large soil blocks separated by tension cracks, rampant in the field; numerical simulations predict that these potential debris flows may exhibit similar characteristics to past events.
Direct Electrooxidation of Ammonia-Enriched Wastewater Using a Bipolar Membrane-Integrated Electrolytic Cell
Authors: Kang Jeong-Hee , Oh Gyung-Geun , Lee Bong-Jae , Im Seongwon , Kim Weonjae , Kang Sungwon , Han Ji-Hyung
Published: June 2024

The treatment of reject water containing concentrated ammonia and non-biodegradable organics is a challenging task in wastewater treatment plants. To address this problem, we propose a novel process consisting of a selective ammonium-exchange resin and an ammonia electrooxidation reaction (AmER-AOR). Because an alkaline condition is essential for direct ammonia oxidation, the use of a bipolar membrane (BPM) was helpful. Nonetheless, an initial pH of 13 and KOH addition were required to maintain a high alkalinity for the complete elimination of ammonia. The linear sweep voltammogram elucidated the high pH requirement and ammonia oxidation promotion. When the current density varied from 30 to 80 mA cm−2, 60 mA cm−2 showed the highest current efficiency (30.39%) and the lowest specific energy demand (95.3 kWh/kg-N), indicating the most energy-effective condition. Increasing the initial concentration of ammonia from 0.1 M to 0.5 M improved the current efficiency (51.57%), demonstrating an additional energy-effective strategy for the AmER-AOR. The energy efficiency of pure H2 production in the cathodic chamber was 30%. To estimate the viability for practical applications, reject water collected from a local wastewater treatment plant was applied in the AmER-AOR. Notably, no significant difference in the ammonia removal rate was observed with synthetic wastewater. To the best of our knowledge, this is the first study that employs a BPM as a separator and OH− supplier for direct ammonia oxidation. Our findings reveal that the AmER-AOR with a BPM has promising practical applicability in the treatment of reject water and energy production.
Research on a Multi-Strategy Improved Sand Cat Swarm Optimization Algorithm for Three-Dimensional UAV Trajectory Path Planning
Authors: Liu Lili , Lu Yixin , Yang Bufan , Yang Longyue , Zhao Jianyong , Chen Yue , Li Longhai
Published: June 2024

In response to the issues of premature convergence, lack of population diversity, and poor convergence accuracy in the traditional Sand Cat Swarm Optimization (SCSO) algorithm, a Multi-Strategy Improved SCSO (MISCSO) algorithm is proposed. Firstly, multiple population strategies are used to avoid premature convergence and falling into local optima traps. Secondly, a distribution estimation learning strategy is introduced to represent the relationships between individuals, using probability models to improve algorithm performance. Next, the diversity of candidate solutions in the elite pool is utilized to expand the search space and enhance the algorithm’s ability to avoid local solutions. Lastly, a Cauchy disturbance strategy is adopted to accelerate the convergence speed of the algorithm, thereby improving the search efficiency and convergence accuracy. The experimental results of CEC2017 tests show that the improved algorithm balances convergence speed and global search capabilities effectively. Finally, the algorithm is applied to actual drone path planning and compared with six other intelligent algorithms, demonstrating the practicality and effectiveness of the improved algorithm.
Unpacking the Discourse on Youth Pathways into and out of Homelessness: Implications for Research Scholarship and Policy Interventions
Authors: Bonakdar Ahmad
Published: June 2024

Youth homelessness presents a complex and persistent challenge worldwide, particularly affecting young adults between 16 and 24 years of age in the US and Canada. This population faces elevated risks of exploitation, victimization, and various health issues upon detachment from familial support structures. Understanding the multi-faceted nature of youth homelessness requires the consideration of individual, structural, and systemic factors within the socio-ecological model. Historically, when examining youth homelessness, traditional methods have concentrated either on individual factors contributing to homelessness or on broader structural issues within society. The emergence of the new orthodoxy attempted to bridge the apparent gap between individual- and structural-level factors by considering both to be equally significant, but it faced skepticism for its theoretical framework. In response, the “pathways” approach gained traction, emphasizing the subjective experiences and agency of youth experiencing homelessness. Departing from conventional epidemiological models, the pathways approach views homelessness as a dynamic process intertwined with individual life contexts. This paper navigates the scholarly discourse on youth homelessness and examines the distinct characteristics of the pathways approach. By exploring its implications for research and policy, this study contributes to a nuanced understanding of youth homelessness and informs future prevention-focused interventions.
Kepuasan Masyarakat terhadap Layanan Pemerintah dalam Menurunkan Prevalensi Penyakit Hep-B pada Anak Usia 0-12 Tahun di Indonesia
Authors: Silvia Elsa , Rizaldy Defri
Published: June 2024

This research taken from a substantial and urgent need for the Indonesian especially for children under 0-12 years in Indonesia who still has limit knowledge about Hep-B prevalence. The government has work harder to give health education and awareness in reducing the prevalence of hep-B disease for children 0-12 years in Indonesia. Therefore, the purpose of this study is to see how good the communication strategy is conducted by government of Indonesia and how about the public satisfaction about its services. This study used quantitative method by using an observative, documentative and questionnaire for 220 respondents from several districts in Indonesia as the tools of collecting data. This research concluded that: (a) public services in terms of health education and awareness campaigns in reducing the prevalence of hep-B in children aged 0-12 years was good and satisfying, b) the factors that most influence in increase in the prevalence of Hep-B in children aged 0-12 years are mother-to-child transmission: can occur during pregnancy, childbirth, or breastfeeding and is a common mode of transmission in areas with high prevalence of hep-B and lack of screening, c). what the government can do as a public service in reducing the prevalence of Hep-B in children aged 0-12 years in Indonesia is health education and awareness of hep-B campaign by several ways, such as school-based education, community-based education, mass media campaign, and health worker education.
Pelayanan Surat Keterangan Pindah Bagi Penduduk Migran Di Kabupaten Bogor Provinsi Jawa Barat
Authors: Hutasoit Imelda , Madjid Udaya , Ripa’i Ahmad , Sri Rejeki Wiwik Roso
Published: June 2024

Dinas Kependudukan dan Pencatatan Sipil (Disdukcapil) Kabupaten Bogor memiliki peran penting dalam mengelola administrasi kependudukan karena jumlah migran yang membutuhkan pelayanan administrasi kependudukan terkait dengan kepindahannya cukup tinggi. Penelitian ini bertujuan menggambarkan pelayanan administrasi kependudukan bagi penduduk migran di Kabupaten Bogor dan berbagai faktor yang mempengaruhinya. Metode penelitian yang digunakan dalam penelitian ini adalah Deskriptif Kualitatif. Pengumpulan data dilakukan dengan observasi, wawancara, dan dokumentasi. Teknik analisis data dilakukan dengan beberapa tahapan yaitu mempersiapkan data, membaca keseluruhan data, penyajian data, mengorganisasikan data, menganalisis data, mendeskripsikan data, dan pembuatan interpretasi/penarikan kesimpulan. Hasil penelitian menunjukkan bahwa dalam memberikan pelayanan administrasi kependudukan bagi penduduk migran, Disdukcapil Kabupaten Bogor telah memenuhi dimensi-dimensi pelayanan yang baik, dipenuhi melalui berbagai upaya diantaranya program One Day Service (ODS), tersedianya Standar Operasional Prosedur (SOP) pelayanan yang jelas, dan pemanfaatan teknologi untuk mempercepat proses pelayanan, serta menciptakan lingkungan yang nyaman dan efisien bagi penduduk migran yang mengurus dokumen kependudukan.
Kata kunci: Pelayanan publik, Administrasi Kependudukan, Penduduk Migran.
The effect of different sowing depth on the yield and yield-forming elements of maize
Authors: Tar István Dávid  , Vad Attila Miklós , Virág István Csaba
Published: June 2024

On a global scale, maize is an important food, feed and industrial crop, with an increasing production area (Nagy, 2007 and 2021). Among the environmental impacts, extreme weathering factors caused by climate change are causing serious problems for crop stability, and maize is no exception.
Precision farming is today's most innovative agrotechnical approach, which can greatly increase crop safety and reduce costs by exploiting the genetic potential of our soils and the hybrids we use (Torres, 2012).
Sowing is one of the most important agrotechnical elements, and with good seeding we can ensure that we have all the requirements of a high yielding, high growing crop (Pepó, 2019). In the case of sowing, it is important to place the seed in moist soil to provide the optimum environmental conditions for the crop to ensure uniform emergence (Széles et al., 2020; Shrestha et al., 2018).
Precision planting is the market leading technology in precision planters in the United States, and when cooperating with them we looked for methods to optimise the depth of sowing and to monitor the effect on yield by studying the initial development of the plants. The seeder was equipped with the company's SmartFirmer soil scanner integrated into the seed drill. Automatic seed depth adjustment based on soil moisture is an exceptional solution for uniform emergence and drought protection.
Plant clinic in Nepal: An overview
Authors: Adhikari Debraj , Pandit Vinod , Bhatta Madav , Sharma Dilli Ram , Baral Sabitri
Published: June 2024

Plant clinics play an important role in supporting farmers in growing healthy crops and achieving higher productivity in Nepal. The development and operation of plant clinics in Nepal are assessed in this study through a comprehensive analysis of the institution via literature review and interaction with key stakeholders. The plant clinic approach of the agriculture extension system started in Nepal in 2008, followed up with engagement with CABI and the Government of Nepal. Enhancement of farmers' knowledge and skill, encouraging sustainable farming methods, and ultimately increasing crop yields are the impact of plant clinics. However, there are some challenges faced during the implementation of plant clinics in the existing agricultural extension systems. In Nepal, the plant clinics are primarily operated by agricultural technicians with expertise in plant protection, as well as IPM farmer facilitators and community business facilitators after attending an intensive plant doctor's training. Plant clinics have been integrated into the agricultural extension system by agro-advisory service provider of the government of Nepal. Despite institutionalisation, policy support needs to be strengthened to ensure the sustainability of the different components of the (e.g., data management, validation, monitoring, localised content, etc.) plant clinic in Nepal.
An advanced classification method for urban land cover classification
Authors: Guizani Douraied , Buday-Bódi Erika , Tamás János , Nagy Attila
Published: June 2024

This manuscript presents a detailed comparative analysis of three advanced classification techniques that were used between 2018 and 2020 to classify land cover using Landsat8 imagery, namely Support Vector Machine (SVM), Maximum Likelihood Classification (MLSC), and Random Forests (RF). The study focuses on evaluating the accuracy of these methods by comparing the classified maps with a higher-resolution ground truth map, utilising 500 randomly selected points for assessment.
The obtained results show that, compared to MLSC and RT, the Support Vector Machine (SVM) approach performs better. The SVM model demonstrates enhanced precision in land cover classification, showcasing its effectiveness in discerning subtle differences in landscape features.
Furthermore, using the precise classification results produced by the SVM method, this study examines the temporal variations in land cover between 2018 and 2020. The results provide insight into dynamic land cover changes and highlight the significance of applying reliable classification techniques for thorough temporal analysis with Landsat8 images.
The status of conservation and management of indigenous sheep breeds in South Africa - A review
Authors: Motaung Thabang Godfrey , Osotsi Joab Malanda , Mujitaba Malam Abulbashar , Wanjala George , Novotni-Dankó Gabriella
Published: June 2024

Indigenous sheep breeds in South Africa play an important role in local food security and they are adapted to local conditions. Their genetic and cultural values have to be recognised for national importance. The conservation of these breeds is very critical as most of them are already classified as endangered. The South African government has the initiative to attempt the conservation of these animals; however, it comes with several challenges. In addition to funding, breed conservation demands farmers to understand and recognise the role of such breeds in society. This is especially crucial in the rural communal lands where breeds are kept. Farmers that raise indigenous breeds should be taught the necessity of maintaining the purity of these breeds. Indigenous sheep breeds in South Africa are not favored by the commercial farmers and thus they are more vulnerable. This review outlines the nature of sheep farming and the conservation status of four indigenous sheep breeds in South Africa. The effort and challenges that are met in current conservation arrangements are discussed. Moreover, we emphasise on the conservation techniques that are employed in South Africa.
Simplified volume equations for grey poplar (Populus × canescens Smith.) standing trees
Authors: Ábri Tamás , Honfy Veronika , Rédei Károly
Published: June 2024

Grey poplar (Populus× canescens Smith.) is a natural hybrid of white poplar (Populus alba L.) and Eurasian aspen (Populus tremula L.). It can be found throughout Europe, where both parents are present. The above mentioned species of poplars (under the term of ‘domestic poplars’) cover approximately 5% of the forests of Hungary. Of these species, grey poplar holds significance in forestry, and its role in afforestation shows a growing tendency. For this reason, improving the growing technology of grey poplar is a timely topic. In this paper we introduce algorithms which help estimate grey poplar tree volumes without having to use volume tables. Based on the performed evaluations, both equations can be used for single tree volume estimation with an error of less than 5%.
Desafios e complexidades da inclusão de pessoas com deficiência nas carreiras policiais militares
Authors: Jonck Romário José
Published: June 2024

A inclusão de pessoas com deficiência (PcD) nas carreiras policiais militares enfrenta desafios significativos devido às peculiaridades da função e às previsões constitucionais para essa classe. Este artigo busca explorar essas complexidades, analisando as normas legais que garantem o acesso de PcDs a cargos e funções públicas e as peculiaridades normativas que regem as Polícias Militares. A pesquisa utiliza uma abordagem qualitativa, com revisão bibliográfica de artigos e publicações recentes. A legislação brasileira assegura a reserva de vagas para PcDs em concursos públicos, conforme o artigo 37, inciso VIII, da Constituição Federal. No entanto, a viabilidade dessa reserva nas carreiras policiais é questionada, dada a legislação específica que rege as instituições militares. Este estudo contribui para o debate sobre a inclusão de PcDs nas forças policiais, analisando a aplicabilidade das garantias legais e os desafios envolvidos.
Consumo de alimentos com corantes durante o clareamento dental: uma revisão de literatura
Authors: Lima Eric Patrick da Silva , Moura Laura Maria Crisóstomo de , Figueredo Ana Letícia da Luz Bernardo , Batinga Cássia Priscila Soares da Rocha , Granja Maria Mayara da Cunha , Farias João Emanuel Inacio de , Mendonça Izabel Cristina Gomes de
Published: June 2024

Procedimentos estéticos dentários têm provocado alto interesse pelo público pelo desejo de ter um sorriso mais branco e mais harmônico. O clareamento dental tem aumentado exponencialmente essa busca, por ser um tratamento conservador e minimamente invasivo que visa a melhora/branqueamento da coloração dos dentes. A restrição alimentar de bebidas e alimentos muito pigmentados durante o tratamento podem não interferir na ação dos géis clareadores, e isso tem sido bastante discutido na literatura. Este trabalho tem por objetivo realizar uma revisão narrativa de literatura sobre a relação do consumo de alimentos com corantes durante o tratamento de clareamento dental. Por um tempo alguns estudos se apoiavam na ideia de que as alterações morfológicas na superfície dental causada pelos géis clareadores promoviam  maior permeabilidade de corantes de alimentos e bebidas afetariam a efetividade do gel clareador durante o clareamento dental. Estudos posteriores demonstraram que fatores como o tamponamento salivar, frequência do uso do gel e tamanho das moléculas de pigmento ajudam a não alterar a efetividade do gel clareador frente o consumo de alimentos pigmentados. Diante dos estudos apresentados, não há evidência suficiente que suporte a recomendação da não-ingestão de alimentos muito pigmentados durante o clareamento dental, visto que não interferem no resultado final do tratamento.
Avanços recentes da IA na oftalmologia - revisão de literatura
Authors: Pionório Vítor Alcântara Lopes , Silva Décio Fragata da , Pionório Julia Lopes
Published: June 2024

A Inteligência Artificial, através de algoritmos avançados e análise de grandes volumes de dados imagéticos, tem demonstrado um potencial significativo para revolucionar o diagnóstico e a gestão de doenças oculares. O objetivo principal deste trabalho foi revisar os avanços recentes da IA na oftalmologia, especialmente em relação ao aumento da precisão diagnóstica e à democratização do acesso aos cuidados oftalmológicos. A metodologia adotada foi uma revisão integrativa da literatura, envolvendo a análise de estudos publicados entre 2018 e 2024 nas bases de dados SciELO, MEDLINE e ResearchGate, utilizando termos específicos relacionados à IA e oftalmologia. Resultados e discussão: O estudo traz apurações feita por aplicações de plataformas de sistema operacionais baseado em IA, como o sistema IDx-DR e o Eyer, e como têm permitido diagnósticos mais rápidos e precisos de condições como a retinopatia diabética e o glaucoma. Essas tecnologias têm o potencial de expandir o acesso à saúde ocular de qualidade, especialmente em áreas remotas e carentes de especialistas. É importante salientar que, apesar dos avanços promissores, existem desafios significativos, incluindo a necessidade de grandes volumes de dados para treinar os algoritmos de forma eficaz e questões éticas relacionadas à privacidade dos dados dos pacientes. Em conclusão, a integração da IA na oftalmologia oferece melhorias notáveis na precisão diagnóstica e na acessibilidade dos cuidados com a saúde ocular. No entanto, é crucial que essa integração seja acompanhada de políticas robustas que garantam a ética e a eficácia do uso dessas tecnologias.
The effect of endodontic instrumentation on fatigue, fracture load, and dentin crack formation in restored uniradicular teeth: in vitro study
Authors: Santos Alison Flávio Campos dos , Baroudi Kusai , Oliveira Marianna Pires de , Valandro Luiz Felipe , Silva-Concílio Laís Regiane , Amaral Marina
Published: June 2024

Objective(s): The aim of this study was to evaluate the effect of manual, rotatory, and reciprocating endodontic instrumentation for uniradicular teeth on fatigue, load to failure, and dentin crack formation. Materials and Methods: Sixty-two human uniradicular teeth were selected. Root samples were standsdized at 14 mm (t0). Teeth were divided into three groups according to endodontic instrumentation: Manual (M), Rotatory (RT), or Reciprocating (RC) and filled with passive technique (t1). All teeth received the cementation of a glass fiber post and were restored with composite resin core (t2) and metallic crown. Samples were subjected to mechanical cycling (177 N, 2x106 cycles, 4 Hz) (t3), followed by a load to failure test. Failure analysis was performed and dentin crack analysis was conducted in two samples each time t0, t1, t2, and t3. Results: Load to failure was not different between groups (p=0.716). However, the M group presented more irreparable failures. M and RC groups presented a high percentage of root sections with defects, and t3 was the evaluation time which presented more dentin crack formation. Conclusion(s): Endodontic instrumentation system did not affect load to failure of uniradicular teeth. Still, it affected the failure mode, with manual and reciprocating instrumentations presenting more irreparable failures and high root dentin crack formation.
Avanços revolucionários na cirurgia minimamente invasiva: uma revisão bibliográfica
Authors: Sousa Juliana Santiago da Paixão , Castro Ana Beatriz Oliveira , Chagas Gabriela Aparecida Ferreira , Piccirilli Rafaella , Moreira Vitória Alves , Flor Bárbara Gonçalves
Published: June 2024

A cirurgia minimamente invasiva (CMI), com especial destaque para a cirurgia robótica, transformou a prática cirúrgica desde sua introdução na década de 80. Este artigo revisa os avanços recentes na CMI, explorando suas técnicas e benefícios. Inicialmente, discute-se o impacto positivo da CMI na recuperação pós-operatória e na precisão técnica, particularmente na cirurgia robótica. Avanços tecnológicos recentes têm ampliado ainda mais as aplicações da CMI, incluindo cirurgias hepatobiliares e microcirurgias em várias especialidades. A escolha entre laparoscopia e cirurgia robótica continua sendo uma consideração crucial, levando em conta fatores como a habilidade técnica do cirurgião e o custo-benefício. No entanto, evidências crescentes demonstram os benefícios superiores da CMI em comparação com as abordagens tradicionais, destacando seu papel central na evolução da prática cirúrgica moderna.
Efeitos da sonata k448 de Mozart na recordação da memória do medo em camundongos
Authors: Oliveira Pâmela Mayara de , Lorena Ana Laura Macahiba , Ferreira José Augusto Rosado , Doná José Luiz dos Santos Mendonça , Trzesniak Clarissa , Faria Rodolfo Souza
Published: June 2024

Este trabalho investigou o impacto da Sonata K448 de Mozart na recordação da memória de medo previamente extinta em camundongos, utilizando procedimentos comportamentais e análises estatísticas, buscando compreender os mecanismos envolvidos na formação e extinção da memória aversiva, com potenciais implicações terapêuticas em distúrbios relacionados como o transtorno do estresse pós-traumático. Os camundongos foram expostos à música durante a gestação, amamentação e fase adulta, seguida por testes de condicionamento som/choque, extinção e recordação. Os dados comportamentais foram registrados e analisados, incluindo medidas de congelamento como indicador de memória para extinção. A análise estatística avaliou a relação temporal e os efeitos da exposição à música na recordação da memória de medo. Os resultados mostraram que não houve diferença significativa entre os grupos de camundongos fêmeas ou machos no teste de recordação, o que indica que a exposição à música de Mozart não teve efeito mensurável na recordação dos animais de ambos os sexos, com ou sem disbiose.