bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of LCA-Multidimensional Map (LAMP): A Platform to Support Information Sharing and Formulate CO2-Level-Reduction Plans toward Zero Emissions
Authors: Hikosaka Shoko , Hayashi Eri , Nakano Akimasa , Kasai Mieko , Yamaguchi Toshitaka , Kozai Toyoki
Published: November 2023

We propose a platform called “LCA-Multidimensional Map (LAMP)” to support companies and individuals aiming for CO2 zero emissions (CZEs) by efficiently conducting life cycle assessments (LCAs) of their products and activities, collecting information necessary for CZEs, and developing CO2 reduction plans. LAMP is a multidimensional platform that supports the development of CZEs targets in cyberspace without temporal or spatial constraints. Using this software, LCAs can be conducted using existing database groups constructed in two and three dimensions in various sectors as well as data groups with temporal information, such as evolving and continuous records, and spatial information in a cross-sectional manner. Furthermore, based on the LCA results, CO2-emission-reduction plans can be formulated (extraction of alternatives), and their effectiveness can be confirmed through LCA again. As an example of how to use LAMP, we introduce the characteristics of LCA in horticulture, the second-largest source of CO2 emissions after livestock in the agricultural sector, along with examples of alternative plans for greenhouses, collaboration plans with other sectors, and basic methods for promoting CZEs in horticulture. Although this concept needs to be tested and validated in the future, it might encourage individuals or companies to cooperate in LAMP development or inspire them to advocate for more progressive ideas.
Assessing the Accuracy of ChatGPT Use for Risk Management in Construction Projects
Authors: Aladağ Hande
Published: November 2023

Artificial Intelligence (AI) is considered promising digital technology that has important opportunities for enhancing project oversight and delivering improved decision-making in the risk management domain. However, there is a limited amount of research that has evaluated AI tools’ performance in risk management. Therefore, with the intention of sustaining more accurate risk-based decision-making process in the construction industry, this paper investigates the accuracy of ChatGPT in risk management for different project types. In this context, Key Performance Indicators (KPIs) related to each risk management sub-process were determined, and then a questionnaire that consisted of prompt templates was prepared for collecting data from ChatGPT. Afterwards, ChatGPT’s responses were evaluated by experts with focus group sessions. The findings indicate that ChatGPT has a moderate level of performance in managing risks. It provides more accurate knowledge in risk response and risk monitoring rather than risk identification and risk analysis sub-processes. This research paves the way for future studies by demonstrating an implication of ChatGPT use for risk-based decision making. In addition, gaining insight into the precision of ChatGPT in the risk-based decision-making process will empower decision-makers to establish resilience in business operations through technology-driven risk management.
Evolution, Forecasting, and Driving Mechanisms of the Digital Financial Network: Evidence from China
Authors: Ding Rui , Shen Siwei , Zhu Yuqi , Du Linyu , Chen Shihui , Liang Juan , Wang Kexing , Xiao Wenqian , Hong Yuxuan
Published: November 2023

Digital finance (DF) is the engine driving financial inclusion worldwide, but the current uneven development of DF across regions would hinder this process. Based on cross-sectional data from 288 prefecture-level cities for the representative years 2011, 2014, 2017, and 2020, this paper uses geographic detector methods, social network analysis, and geographical and temporal weighted regression (GTWR) to explore the key drivers of urban DF, revealing and forecasting the DF network structural evolution and its driving mechanism. The results show that (1) economic level, traditional financial level, internet popularity, innovation level, and government intervention are the key drivers of DF development. (2) During the decade, the proportion of high-intensity urban interconnections increased from 3.3% to 12.3%. Most cities are at a low level of intensity, showing a polarization trend. (3) The cities with high betweenness centrality are concentrated in the megacities and the number is stable at 5. The structure of network communities is relatively stable, with the number reduced to 10. Cities with the greatest possibility of connection are located in the Pearl River Delta (PRD) and the Yangtze River Delta (YRD), accounting for 60% of the total. (4) The drivers of DF development present significant spatial heterogeneity over time. The traditional financial level shows a positive and continuous promoting effect, while government intervention plays a negative role.
Using Needs Analysis to Foster Sustainability of Business English Courses: A Case Study of a University in the South of Chile
Authors: Lasekan Olusiji Adebola , Moraga-Pumarino Ana Fabiola , Pachava Vengalarao
Published: November 2023

The purpose of this study is to conduct an in-depth needs analysis in order to create a sustainable business English course. Drawing critical insights from the development and implementation of a sustainable curriculum, a mixed-methods approach was carried out that involved data collected via a structured questionnaire administered to 117 university students of business administration and accounting. The findings indicated that a substantial majority of respondents perceived their level of English language proficiency to be low, with merely 25% evaluating their English skills as either “good” or “excellent”. Several language skills such as speaking, listening, and writing were recognized as communicative needs for effective business communication and studies, with over 86% interested in registering for the course. Regarding pedagogical needs, the emergence of preferences for face-to-face teaching, making the course mandatory, varying perspectives regarding the frequency and duration of courses, and inclination towards small group learning were established. For the sustainability of the business English course, this study suggests an integrated, responsive, and adaptive course that emphasizes interactive learning and curriculum alignment with global business trends.
An Assessment of Potential Threats to Human Health from Algae Blooms in the Indian River Lagoon (USA) 2018–2021: Unique Patterns of Cytotoxicity Associated with Toxins
Authors: Guzmán Esther A. , Peterson Tara A. , Winder Priscilla L. , Francis Kirstie T. , McFarland Malcolm , Roberts Jill C. , Sandle Jennifer , Wright Amy E.
Published: November 2023

The Indian River Lagoon (IRL), a 156-mile-long estuary located on the eastern coast of Florida, experiences phytoplankton bloom events due to increased seasonal temperatures coupled with anthropogenic impacts. This study aimed to gather data on the toxicity to human cells and to identify secondary metabolites found in water samples collected in the IRL. Water samples from 20 sites of the IRL were collected during the wet and dry seasons over a three-year period. A panel of cell lines was used to test cytotoxicity. Hemagglutination, hemolysis, and inhibition of protein phosphatase 2A (PP2A) were also measured. Cytotoxic blooms were seen both in the south (Microcystis) and the north (Pyrodinium) of the IRL. Each toxin induced a consistent pattern of cytotoxicity in the panel of human cell lines assayed. During blooms, cytotoxicity due to a single type of toxin is obvious from this pattern. In the absence of blooms, the cytotoxicity seen reflected either a mixture of toxins or it was caused by an unidentified toxin. These observations suggest that other toxins with the potential to be harmful to human health may be present in the IRL. Moreover, the presence of toxins in the IRL is not always associated with blooms of known toxin-producing organisms.
Prophylactic Treatment with Baloxavir Protects Mice from Lethal Infection with Influenza A and B Viruses
Authors: Fukao Keita , Noshi Takeshi , Shano Shinya , Baba Kaoru , Sato Kenji , Sakuramoto Masashi , Kitade Naohisa , Tanioka Hideki , Kusakabe Shinji , Shishido Takao
Published: November 2023

Influenza remains a worldwide health concern. Antiviral drugs are considered as one of the useful options for its prevention as a complementary measure to vaccination. Baloxavir acid selectively inhibits the cap-dependent endonuclease of influenza viruses and exhibits marked viral titre reduction in patients. Here, we describe the prophylactic potency of baloxavir acid against lethal infection with influenza A and B viruses in mice. BALB/c mice were subcutaneously administered once with baloxavir acid suspension, or orally administered once daily for 10 days with oseltamivir phosphate solution at human relevant doses. Next, the mice were intranasally inoculated with A/PR/8/34 (H1N1) or B/Hong Kong/5/72 strain at 24 to 96 h after the initial dosing. Prophylactic treatment with the antiviral drugs significantly reduced the lung viral titres and prolonged survival time. In particular, baloxavir acid showed a greater suppressive effect on lung viral titres compared to oseltamivir phosphate. In this model, baloxavir acid maintained significant prophylactic effects against influenza A and B virus infections when the plasma concentration at the time of infection was at least 0.88 and 3.58 ng/mL, respectively. The significant prophylactic efficacy observed in our mouse model suggests the potential utility of baloxavir marboxil for prophylaxis against influenza in humans.
A Novel Subcluster of Closely Related Bacillus Phages with Distinct Tail Fiber/Lysin Gene Combinations
Authors: Loney Rachel E. , Delesalle Véronique A. , Chaudry Brianne E. , Czerpak Megan , Guffey Alexandra A. , Goubet-McCall Leo , McCarty Michael , Strine Madison S. , Tanke Natalie T. , Vill Albert C. , Krukonis Greg P.
Published: November 2023

Bacteriophages (phages) are the most numerous entities on Earth, but we have only scratched the surface of describing phage diversity. We isolated seven Bacillus subtilis phages from desert soil in the southwest United States and then sequenced and characterized their genomes. Comparative analyses revealed high nucleotide and amino acid similarity between these seven phages, which constitute a novel subcluster. Interestingly, the tail fiber and lysin genes of these phages seem to come from different origins and carry out slightly different functions. These genes were likely acquired by this subcluster of phages via horizontal gene transfer. In conjunction with host range assays, our data suggest that these phages are adapting to hosts with different cell walls.
Comment on Subhadra et al. Significant Broad-Spectrum Antiviral Activity of Bi121 against Different Variants of SARS-CoV-2. Viruses 2023, 15, 1299
Authors: Kulić Žarko
Published: November 2023

The article “Significant Broad-Spectrum Antiviral Activity of Bi121 against Different Variants of SARS-CoV-2” by Subhadra et al. [...]
Reply to Kulić, Ž. Comment on “Subhadra et al. Significant Broad-Spectrum Antiviral Activity of Bi121 against Different Variants of SARS-CoV-2. Viruses 2023, 15, 1299”
Authors: Subhadra Bobban , Agrawal Ragini , Pal Virender Kumar , Chenine Agnes-Laurence , Mattathil Jeffy George , Singh Amit
Published: November 2023

We would like to thank Dr. Žarko Kulić [...]
Exploring the Susceptibility of C3H Mice to Tick-Borne Encephalitis Virus Infection: Implications for Co-Infection Models and Understanding of the Disease
Authors: Porcelli Stefania , Heckmann Aurélie , Lagrée Anne-Claire , Galon Clémence , Moutailler Sara , Deshuillers Pierre
Published: November 2023

Ticks and tick-borne diseases (TBDs) are increasingly recognized as a critical One Health concern. Tick-borne encephalitis (TBE), a severe neuro infection caused by the tick-borne encephalitis virus (TBEV), has emerged as a significant global public health threat. Laboratory animals, particularly mice, have played a pivotal role in advancing our understanding of TBD pathogenesis. Notably, BALB/c mice have been employed as models due to their heightened susceptibility to TBEV. However, the use of C3H mice, valued for other tick-borne pathogens, has remained unexplored for TBEV until now. This study aimed to assess the susceptibility of C3H mice to TBEV infection, laying the groundwork for future co-infection models involving TBEV and Borrelia. Experiments revealed that C3H mice are susceptible to TBEV infection through subcutaneous inoculation. While 102 PFU/mouse appeared necessary for full infection, 103 PFU/mouse induced consistent symptoms. However, subsequent assessment of ticks’ acquisition of TBEV from infected mice met with limited success, raising questions about optimal infectious doses for natural infection. These findings suggest the potential of C3H mice for studying TBEV and co-infections with other pathogens, particularly Borrelia. Further exploration of the interplay between these pathogens, their transmission dynamics, and disease severity could enhance prevention and control strategies.
New Vaccine Introductions in WHO African Region between 2000 and 2022
Authors: Iwu-Jaja Chinwe , Iwu Chidozie Declan , Jaca Anelisa , Wiysonge Charles Shey
Published: November 2023

Significant progress has been made in vaccine development worldwide. This study examined the WHO African Region’s vaccine introduction trends from 2000 to 2022, excluding COVID-19 vaccines. We extracted data on vaccine introductions from the WHO/UNICEF joint reporting form for 17 vaccines. We examined the frequency and percentages of vaccine introductions from 2000 to 2022, as well as between two specific time periods (2000–2010 and 2011–2022). We analysed Gavi eligible and ineligible countries separately and used a Chi-squared test to determine if vaccine introductions differed significantly. Three vaccines have been introduced in all 47 countries within the region: hepatitis B (HepB), Haemophilus influenzae type b (Hib), and inactivated polio vaccine (IPV). Between 2011 and 2022, HepB, Hib, IPV, the second dose of measles-containing vaccine (MCV2), and pneumococcal conjugate vaccine (PCV) were the five most frequently introduced vaccines. Hepatitis A vaccine has only been introduced in Mauritius, while Japanese encephalitis vaccine has not been introduced in any African country. Between 2000–2010 and 2011–2022, a statistically significant rise in the number of vaccine introductions was noted (p < 0.001) with a significant positive association between Gavi eligibility and vaccine introductions (p < 0.001). Significant progress has been made in the introduction of new vaccines between 2000 and 2022 in the WHO African Region, with notable introductions between 2011 and 2022. Commitments from countries, and establishing the infrastructure required for effective implementation, remain crucial.
Factors Influencing COVID-19 Vaccine Uptake among Spanish-Speaking Pregnant People
Authors: Sanchez Magali , Martel Iveliz , Cox Elizabeth , Crary Isabelle , Baxter Carly , Every Emma , Munson Jeff , Stapley Simone , Stonehill Alex , Adams Waldorf Kristina M.
Published: November 2023

The coronavirus disease 2019 (COVID-19) pandemic exposed the vulnerability of pregnant women to excess morbidity and mortality, as well as the disproportionate disease burden in certain racial, ethnic, and sociodemographic groups. Vaccine hesitancy represents a major threat to public health, and crafting messages that reach vulnerable groups and address their intersectionality remains a weakness for pandemic preparedness. We sought to investigate factors that influenced vaccine acceptance and social media ad response in a mixed-methods study of Spanish-speaking women living in the rural Western United States who were pregnant or recently pregnant between November 2022 and June 2023. Direct interviews were translated, transcribed, and coded, while the ad ratings were analyzed using linear mixed models. Participants most favorably rated ads that featured doctors and text-heavy content describing benefits of vaccination. Qualitative data illustrated how information from trusted medical providers along with generational and cultural history of vaccine acceptance positively impacted perspectives on vaccination. Immigration status had varying influences on vaccination perspectives. Future vaccination campaigns targeting Spanish-speaking pregnant individuals in rural communities should use medical providers as ad messengers and dispel fears that vaccine acceptance may lead to problems with immigration status.
Real-Time Monitoring and Simultaneous Verification of Water Percolation Using Electrical Resistivity Tomography and Photography Techniques
Authors: Du Liang , Dou Jie , Mizunaga Hideki , Zong Zhongling , Zhu Wenjin , Dong Xiaotian , Wu Wenbo
Published: November 2023

Water percolation usually occurs in soil, making it highly challenging to simultaneously monitor and verify the water percolation process in real-time. We propose employing electrical resistivity tomography and the photography technique, respectively, to visualize and validate water percolation. An experiment was conducted to monitor water percolation in sand within a transparent glass trough using electrical resistivity tomography (ERT) and photography techniques. The experimental results show that the relatively low-resistivity anomalies in the electrical resistivity profiles and correction electrical resistivity profiles, derived from the experimental data, have a half-ellipse shape, while the wetting areas captured in the photographs exhibit a bulb-shaped pattern. The relatively low-electrical-resistivity anomaly areas delineated by the 2000 Ω·m contour line in the electrical resistivity profiles and the 120 Ω·m contour line in the correction electrical resistivity profiles exhibit a remarkable correspondence with the wetting areas captured in the simultaneous photographs. Our findings show that the ERT and photography techniques are suitable for the real-time monitoring and simultaneous verification of water percolation in sand within a narrow glass trough.
Groundwater Circulation Mechanism of the Upstream Area of Beiniuchuan River Using Isotope–Hydrochemical Tracer
Authors: Chen Li , Zhu Pucheng , Liu Pei , Zhang Wei , Geng Xinxin , Ma Linna
Published: November 2023

In order to achieve the rational development and utilization of underground water resources in the Dongsheng mining area under coal mining conditions, we selected the upstream area of Beiniuchuan River as a typical region. Through field investigations, sampling tests, and the application of hydrochemical and isotope techniques, we traced the groundwater circulation mechanism in the Dongsheng mining area. The results indicate that the majority of the Quaternary alluvial and Salawusu Formation groundwater is of the HCO3-Ca type, with a TDS content below 300 mg/L. However, in some areas, the hydrochemical type becomes complex due to anthropogenic contamination. The shallow-buried Yan’an Formation groundwater is either of the HCO3-Ca·Mg type or the HCO3·SO4-Ca·Mg type, with TDS content ranging from 200 to 750 mg/L. The Yan’an Formation at depths greater than 40 m exhibits complex water chemistry, with a TDS content higher than 500 mg/L, and it belongs to the Cl-Na type, with TDS around 700 mg/L. The hydrogen and oxygen isotope results indicate that the local groundwater is primarily recharged via atmospheric precipitation. The 3H and 14C results show that the Quaternary alluvial and shallow-buried Yan’an Formation groundwater has a fast turnover rate, while the deep-buried Yan’an Formation and Yan’chang Formation groundwater have a slower turnover rate. The regional groundwater circulation can be generalized into three flow systems: shallow, intermediate, and deep. Under the influence of coal mining activities, the water circulation conditions in the study area have undergone significant changes. The sealing integrity of the Yan’an Formation has been compromised, and precipitation and shallow groundwater have enhanced the vertical infiltration capacity of the formation, increasing the proportion of groundwater participating in the intermediate flow system. As a result, the river runoff mainly dependent on the discharge from the shallow flow system has drastically decreased.
Using Activated Biochar from Caryocar brasiliense Pequi Almonds for Removing Methylene Blue Dye in an Aqueous Solution
Authors: Melo André Luiz Ferreira Carvalho , Carneiro Marcelo Teixeira , Morais Alan Ícaro Sousa , Viana Bartolomeu Cruz , Santos Francisco Eroni Paz , Osajima Josy Anteveli , Bezerra Roosevelt D. S. , Peña-Garcia Ramón Raudel , Almeida Luciano C. , Carrasco Santiago Medina , Silva-Filho Edson C.
Published: November 2023

Water pollution remains a global problem that urges researchers to develop new technologies aimed at environmental restoration. Here, this study aimed at obtaining an activated biochar from pequi almonds for dye removal. Before and after adsorption, the materials underwent characterization using techniques such as X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), Raman spectroscopy, and thermogravimetric analysis (TG). The biochar from the pequi almond was called BA, and the activated biochar from the pequi almond was called ABA. The influence of the pH, contact time, and adsorbate concentration on adsorption was investigated using the dye methylene blue. The morphological assessment revealed higher cracks and pores in the ABA than in the BA. The TG showed that the BA lost approximately 19% more mass than the ABA, indicating that activation occurred. The activation contributed to the decrease in the degree of disorder in the BA because of the increased number of graphitic carbon atoms (ordered) in the ABA, as observed via Raman. The adsorption kinetics followed a pseudo-second-order model, while the adsorption isotherms followed the Langmuir model. The BA adsorption capacity was 500.00 mg g−1, constituting a robust solution for dye removal from aqueous environments. Therefore, this implies the success of the process.
Epidemiologia das lesões reativas orais no Brasil: revisão narrativa de literatura
Authors: Cardoso Janaína Borges da Rocha , Gobbi Guilherme Henrique , Pereira Rafaela Duarte , Servato João Paulo Silva
Published: November 2023

As lesões hiperplásicas reativas (LHR), ou também denominadas de proliferações não neoplásicas, são prevalentes na mucosa oral e podem se apresentar clinicamente como pápulas ou nódulos. Dentre elas estão a hiperplasia fibrosa (HF), o granuloma piogênico (GP), o fibroma ossificante periférico (FOP) e a lesão periférica de células gigantes (LPCG). Geralmente são causadas por agentes irritantes locais, de baixa intensidade e longa duração, como o acúmulo de biofilme, cálculo dentário e traumatismos decorrentes de próteses mal adaptadas. Desta forma, o objetivo do presente artigo é apresentar, por meio de uma revisão narrativa da literatura, as principais características clínicas, patológicas e demográficas dessas lesões que foram descritas pelos trabalhos científicos publicados a partir de séries brasileiras. A busca foi realizada através de pesquisas em bibliotecas virtuais e ferramentas de busca, utilizando descritores nas línguas portuguesa e inglesa, abragendo artigos de 2002 até 2022. Dentre todos os artigos encontrados pela estratégia de busca descrita acima, apenas 27 trabalhos preencheram os critérios de inclusão e exclusão. Elas afetam predominantemente o sexo feminino, podendo ocorrer em qualquer faixa etária, tendo predileção por adultos de meia idade, por volta de 40 a 60 anos. Os tipos histológicos mais frequentes são a HF e o GP. É de consenso geral que o tratamento inclui remoção cirúrgica conservadora e a remoção dos agentes causais. Ademais, apesar de que as LHR’s sejam comuns, muitas vezes elas passam despercebidas e seu diagnóstico é feito de forma imprecisa. Portanto, novos estudos epidemiológicos precisam ser realizados para ampliar e melhorar os conhecimentos disponíveis sobre este tema nas diferentes regiões do Brasil.
O direito animal brasileiro: legislação e tutela jurídica
Authors: Filadelfo Andressa Dias , Baqueiro Neto Delmiro Baqueiro , Santana Samene Batista Pereira , Soares Lianne Macedo , Santos Marcelo Silva Velame
Published: November 2023

Em 1924 foi editado o decreto nº 16.590/24, que deu prioridade a questão do sofrimento animal em eventos públicos, regulamentando proibitivamente a ocorrência de corridas de touros, rinhas de galos, canários e quaisquer outras que envolvessem o tratamento indigno, assim regulamentava a lei, destinada a preservar os animais não humanos nas casas de diversões públicas. penalmente, sobreveio do Decreto-Lei 3.688 de 1941 (Lei das contravenções penais), a partir do seu artigo 64 que pune, sistematicamente, in verbis: Art. 64. “Tratar animal com crueldade ou submetê-lo a trabalho excessivo: Pena – prisão simples, de dez dias a um mês, ou multa, de cem a quinhentos mil réis.”. Sob essa perspectiva, esse estudo teve como objetivo investigar a literatura acerca do direito animal não humano sob a perspectiva da legislação brasileira e tutela jurídica.
Possibilities of MRI in Diagnosing Pathological Conditions of the Placenta
Authors: Левандовский Е.В. , Улезко Е.А. , Курлович И.В.
Published: November 2023

Плацента играет важную роль, обеспечивая развитие плода. Ультразвуковой метод исследования по-прежнему является «золотым стандартом» оценки состояния плаценты. Последние литературные данные демонстрируют, что метод МРТ имеет некоторые преимущества в диагностике большинства ее патологических состояний. Целью данного обзора является определение места МРТ в структуре известных диагностических манипуляций в определении патологии плаценты.

The placenta plays an important role by ensuring the development of the fetus. Ultrasonography is still the gold standard for the evaluation of the placenta. Recent literature data demonstrate that the MRI method has some advantages in the diagnosis of most of its pathologic conditions. The aim of this review is to determine the place of MRI in the structure of known diagnostic manipulations in the determination of placental pathology.
Índice
Authors: Del Curiham Cuadernos
Published: November 2023

ARTÍCULOS
Composición algal y bioindicadores de calidad de agua. Caso de estudio: Embalse San Roque, Córdoba. Argentina /  Inés Claudia Daga, María Cecilia Fernández Belmonte, Santiago María Reyna. 01
Una aproximación a las descargas por evapotranspiración del acuífero freático Pampeano en la cuenca del arroyo del Azul (Llanura Pampeana) /  Romina Marcovecchio y Marcelo Varni. 13
Modelación preliminar del flujo subterráneo en un sector de la cuenca inferior del Arroyo del Azul (Buenos Aires, Argentina) / Erik Zimmermann, Luisa Fajardo e Ilda Entraigas. 21
NOTAS TÉCNICAS
Implementación de un software modular en la cuenca del arroyo Las Turbias. Provincia de Santa Fe, Argentina /  Javier Vergara, Maria del Valle Morresi y Mario Gardiol. 31
Efecto de los cultivos de cobertura sobre las pérdidas de agua y suelo por erosión hídrica  / Julia Capurro y Sergio Montico. 41
Irrigation dimensioning of reel machines with water distribution systems: gun and boom with emitters /  Esequiel Rolando Jiménez Espinosa. 49
Completamiento de series temporales de niveles freáticos en un área deprimida de la llanura bonaerense / Erik Zimmermann. 55
Unraveling the Threads: A Comprehensive Exploration of the Interplay be-tween Social Isolation and Academic Stress Among Students
Authors: Walsham Walsham , Perlman Tancredi Thorne , Sihotang Demita
Published: November 2023

In the labyrinthine landscape of student experiences, this research endeavors to unravel the intricate relationship between social isolation and academic stress. Utilizing a mixed-methods approach, our study amalgamates quantitative rigor with qualitative depth to paint a comprehensive portrait of the challenges faced by students navigating the confluence of social dynamics and educational pressures. The primary objective is to understand how social isolation influences the prevalence and intensity of academic stress among students. Through a dual lens of theory and practice, the research aims to contribute to both the theoretical frameworks shaping stress models and the practical interventions implemented within educational institutions. A diverse sample of students across various educational institutions participated in this study. Quantitative data were gathered through structured surveys, probing the prevalence of social isolation and its correlation with academic stress. Qualitative insights were obtained through in-depth interviews and focus group discussions, unraveling the nuanced experiences and coping mechanisms employed by students. The research affirms a significant positive correlation between social isolation and academic stress, establishing a quantifiable connection. Qualitative narratives unveil the emotional dimensions of social isolation, emphasizing loneliness, fear of failure, and a sense of disconnection as prevalent themes. Stressors such as performance expectations and a competitive academic environment emerge as catalysts that intensify stress levels among socially isolated students. Theoretical implications extend to the refinement of stress models by integrating emotional well-being and recognizing intersectionality. Practical implications advocate for tailored institutional support systems, mental health literacy initiatives, and the integration of social support into academic programs. Collaborative efforts between researchers and practitioners are essential to bridge the gap between theory and practice. As this research concludes, it beckons educators, institutions, and policymakers to heed the call for transformative change. By prioritizing the emotional and social well-being of students alongside academic success, we pave the way for educational environments that foster resilience, support, and holistic growth. This research stands as a catalyst for ongoing conversations and actions, recognizing that the journey to understanding and enhancing student experiences is an ever-evolving endeavor
EVALUATION OF VISION TRANSFORMER ON WEATHER IMAGE RECOGNITION
Authors: Phi Huy Cong , Tran Nam Quy
Published: November 2023

This study implements Vision Transformer 16x16 Words model for weather images classification. Its performance is compared with other traditional convolutional neural network (CNN) architectures, namely EfficientNetB2, DenseNet201, EfficientNetB7 and MobileNetV2. These models are implemented by transfer learning techniques for classification of images. In order to ensure the comparative performance, the same hyper-parameters of their models, such as dropout rate, optimizer and learning rate are employed identically. Furthermore, the same dataset on weather image phenomena applied on all those models with the same training, validation and testing dataset of weather images classification. The dataset of 11 different image classes that are collected from different resources of weather images with various kinds of weather phenomena are employed. The test results of performance show that the Vision Transformer gives the best results at 86.20%, which is suitable for application in evaluating weather images classification problem.
DESIGN AND EXPERIMENT TO DETERMINE OPERATING PARAMETERS FOR SUGARCANE PEELER ACCORDING TO THE PRINCIPLE OF CIRCULAR BRUSH
Authors: Dang Minh Hoang , Nguyen Duc Viet
Published: November 2023

This paper presents a two-stage experimental process to determine the reasonable operating parameters of the sugarcane peeling machine based on the principle of circular brush. The first stage is to qualitatively determine the quality of sugarcane peeling to determine the speed range of the brush disk. The second stage specifies the value of rotational speed and cane push speed to be able to clean sugarcane with a diameter of the cane stem about 20-40 mm. Based on a reasonable set of parameters, the authors designed and fabricated a prototype of a sugarcane peeling machine with a spinning speed of 750 rpm and a cane pushing speed of 15-20 s/m. The machine has a productivity of 70 canes/hour and wears away an average thickness of about 0.767 mm, satisfying the condition of cleaning sugarcane. The research results are the basis for the mass production of sugarcane peeling machines according to the principle of circular brush with lower cost and higher productivity than other types of sugarcane peeling machines according to the principle of knife.
A FINITE ELEMENT STUDY OF THE EFFECT OF SLOPE AND RAINFALL INTENSITY ON SUBSURFACE OUTFLOW OF PERMEABLE FRICTION COURSE PAVEMENT
Authors: Nguyen Hung Tan , Le Huynh Dang Nhat , Pham Triet Minh , Huynh Dung Thi My , Huynh Van Hiep
Published: November 2023

Permeable friction course pavement is designed with high porosity so that water can infiltrate into its pores and drain out laterally through the side. This study observes the subsurface outflow of a permeable friction course pavement via the finite element analysis program SV Flux 2D. A series of analyses were conducted for the permeable friction course pavement with different slope and rainfall intensity values. The results showed that different slope values provided different results for the subsurface outflow. As the slope increased, the subsurface outflow of the permeable friction course pavement increased. It is noticed that the effect of slope on the subsurface outflow decreased when the slope increased from 6% to 8%. In addition, this study also found that as the time of rain events increased, the subsurface outflow pavement was reduced. The investigation of the effect of rainfall intensity on the subsurface outflow of the permeable friction course pavement showed that as the rainfall intensity increased, the subsurface outflow steadily increased. However, it is noted that at the higher rainfall intensity, the pavement became saturated faster and the overflow happened earlier. In the future, further studies focused on the drainage of permeable friction course pavement including subsurface and surface outflow should be carried out.
POTENTIAL APPLICATIONS OF BIOACTIVE COMPONENTS FROM BROWN ALGAE
Authors: Nguyen Thuy Ngoc Trang , Tran Men Thanh , Nguyen Huy Phuc , Le Hang Diem , Vo Diem Thi Ngoc , Nguyen Thien Minh , Le Xuyen Ngoc
Published: November 2023

Recently, macroalgae has found extensive utilization within the domain of biotechnology. Based on their variety of bioactive components, species of class Phaeophyceae are involved in the food, cosmetic, and pharmaceutical industries. Studies have proved that these unique compounds show beneficial activities for human health. With peculiar properties, including antioxidant, antimicrobial, antiviral activities, and related functionalities, each compound holds potential value for human health. This review discusses the bioactive compounds of brown algae and the recent multiple applications of those components that make up algae’s potential in industrial companies. The review was conducted by searching and selecting references related to the content of interest with popular web search engines such as Google Scholar and PubMed.
USING SIMATIC IOT2050 TO CONTROL AND MONITOR MPS STATIONS
Authors: Nguyen Dang Kim , Tran Van Hong
Published: November 2023

This paper provides a solution for upgrading the existing training equipment and updating the training content to meet the current development trends in the automation field. Through experimentation with various options, the author chose to utilize Siemens’ SIMATIC IOT2050 to upgrade the MPS system and the Classification Station within the MPS system to illustrate the implementation process of this solution. The plan was executed through a series of steps, including configuring hardware devices, designing graphical interfaces, connecting communication to read and write PLC addresses, creating animated effects and interactive events within the interface, and connecting to access the monitoring and control interface via the internet. As a result of this project, the IoT technology training equipment in the industry has been upgraded and the Classification Station is now capable of being controlled and monitored remotely over the internet.
APPLYING COLLABORATIVE FILTERING METHOD FOR DOCUMENT RECOMMENDER SYSTEM
Authors: Ly Hung Quoc , Phan Nam Thi Phuong
Published: November 2023

The recommender system helps recommend relevant information items to the user. In recommender systems, collaborative filtering is commonly used to gauge users' interest in new products. Collaborative filtering systems often rely on data about the similarity of users or products in the system in the past to predict preferences or new products for specific users. In this article, we apply the collaborative filtering technique with the k-nearest neighbor to recommend documents for the English center. The implementation process includes the following steps: Firstly, we build a system to collect and store data in the database; Secondly, we implement a recommendation algorithm with three cases, including Case 1 for new users, Case 2 for users who have seen the most document items, and Case 3 for centers' members. The results make it easier for users to find documents.
AN EMPIRICAL STUDY ON FAKE REVIEW DETECTION
Authors: Nguyen Lam Nhut
Published: November 2023

In recent years, the Internet has opened up opportunities for manufacturers and retailers to advertise and sell their products online. Online shopping is becoming a habit of consumers. Although there are many benefits of buying and selling online, such as easy product selection and comparison from many different sellers before deciding which one to buy, reading comments before buying a product is a habit of customers. It helps them learn from the experiences of former buyers. However, buying based on product reviews is risky, especially fake reviews. These reviews affect the buyers’ purchase decisions. Detecting fake reviews is a critical problem. This study proposed a machine learning-based framework for detecting fake reviews by extracting features from text and deployed six machine-learning models for classification tasks. Experimental results showed that the SVC is a reliable machine-learning algorithm for classifying truthful reviews and fake reviews using the TF-IDF feature extraction technique.
INVESTIGATION OF 3D PRINTING PARAMETERS AFFECTING THE DEVIATION OF PRODUCT BY TAGUCHI METHOD
Authors: Thach Thuat My , Pham Phong Quoc , Mai Trai Phuoc
Published: November 2023

Fused deposition modeling (FDM) printing method is widely used in the manufacture of technical parts. The article aims to present the survey results of 3D printing parameters (layer height, printing speed, wall thickness) that affect the deviation of product created by the FDM printing method. In this study, 3D scanning technology was applied to measure and check the error of each printed hole. Taguchi method is used in the experiment to design and process data in Minitab software to generate results to evaluate the input values of the investigation. The research results show that the print speed parameter has the highest influence on the error whereas the print wall thickness parameter has the lowest effect. The research results can be used to eliminate the error in making samples by the FDM method.
BUILDING A CONTROL ALGORITHM FOR AUTOMOTIVE AIRBAG RESPONSE CAPABILITY
Authors: Mai Trai Phuoc , Nguyen Thanh Phuoc , Pham Phong Quoc , Phan Tuan Van , Doan Minh Nguyen Uyen
Published: November 2023

The article presents the results of developing a control algorithm for the activation time of the driver-side airbag in cars. The authors used C++ programming language to build the control algorithm. The research results show that when applying this algorithm to the airbag control model, some characteristics can be observed and tested, such as the airbag activation time being compatible with the magnitude of impact force. This implies that the larger the impact force (collision), the faster the airbag activation time will be. When the sensor loses its signal, the system will display an error on the car's display screen. This algorithm can also change the input data settings so that users can adjust the data to improve the airbag's optimal operation.
3D LIDAR SEGMENTATION BASED ON EUCLIDEAN CLUSTERING FOR EMBEDDED SYSTEM
Authors: Le Hai Minh , Tran Toan Song
Published: November 2023

This paper presents a method for 3D LiDAR segmentation based on Euclidean clustering specifically designed for embedded systems. LiDAR sensors are widely used for perception tasks in autonomous vehicles, robotics, and other applications, providing dense point cloud data of the environment. Segmentation of the point cloud into meaningful objects is essential for understanding the surroundings and making informed decisions. Euclidean clustering is an effective approach for grouping points based on spatial proximity, enabling object segmentation. However, implementing such algorithms on embedded systems poses challenges due to limited computational resources. In this work, we propose an optimized implementation of the Euclidean clustering algorithm tailored for embedded systems to achieve real-time performance on the embedded system. The proposed approach involves acquiring raw point cloud data from the LiDAR sensor and preprocessing it to reduce noise and size. Adaptive Euclidean clustering is then applied to group points into clusters based on their spatial proximity. Extracted features such as centroids and bounding boxes are utilized for object classification and segmentation. Post-processing steps refine the segmentation results, improving accuracy and removing spurious clusters
ASSESSMENT THE IMPACT OF SOLAR PANELS ON THE ENVIRONMENT
Authors: Tran Tan Van , Ho Ha Ngoc , Do Tam Chi
Published: November 2023

Solar energy is a renewable energy source that is becoming increasingly popular in providing electricity for households and industrial production. Using solar panels also brings many benefits to human life. In particular, solar panels are advantageous in providing electricity to remote and isolated areas that do not have access to the national grid. However, like any other technology, solar panels also have particular environmental impacts that need to be taken into account. From reference sources, this study aims to make statistics and evaluate the impacts of solar panels on the environment. The analyzed results show that the land occupancy index of solar power is the least compared to other power sources for the power plant's life of more than 25 years.
OPTIMIZATION OF STIFFENED COMPOSITE PLATE USING BALANCING COMPOSITE MOTION OPTIMIZATION
Authors: Nguyen Son Hoai , Lam Phat Thuan , Trieu Vo L , Huynh Saren Van
Published: November 2023

Recently, metaheuristic optimization algorithms have been studied and applied in many fields of engineering, especially in solving structural optimization problems. For structures with complex behaviors, the selection of a suitable optimization algorithm significantly increases the computational efficiency and the accuracy of the solution. In this paper, we investigate the optimization problem of stiffened composite plates using Balancing Composite Motion Optimization. The core idea of the Balancing Composite Motion Optimization algorithm is that the searching movements of candidate solutions are compositely equalized in both global and local ones in the solution space of solving the fiber optimization problem of stiffened composite plates. A candidate solution can move closer to better ones to exploit the local regions and move further to explore the search space also. The method does not require algorithm parameters. The calculation results are compared with many other metaheuristic optimization methods to prove the accuracy and efficiency of the method.
The importance of the knowledges from different kind of learnings of computer engineering students and strategies applied by professors from TecNM Tizimín Campus
Authors: ESTRELLA-OJEDA Abel Abraham , BIANCHI-ROSADO Víctor Manuel , PUMARES-CHAB Argelia Concepción , MATÚ-SANSORES Mariano de Jesús
Published: November 2023

The objective of this research project is to know and describe the different learning styles of the students from computer engineering educational offer at National Technological Institute of Mexico Campus Tizimín, using the model proposed by Honey Alonso; this with the importance of identifying if there is a relationship between the career and the strategies used by the teachers in the classroom. The data collection technique was through two questionnaires; one of them directed to students and the other directed to professors. Was considered a sample of 114 students from all semesters from computer engineering and other considered a sample 10 professors belonging to the computer engineering academy. The results obtained have important implications for educational practice and the design of educational policies that promote personalized and student-centered learning.
ОСОБЛИВОСТІ ПУБЛІЧНОЇ ПОЛІТИКИ ДЕРЖАВИ В УМОВАХ ВИКЛИКІВ ВІЙНИ
Authors: Титаренко Любов , Холод Марія
Published: November 2023

У статті теоретично узагальнено особливості публічної політики в умовах викликів війни,  окреслено фактори  врахування історичного контексту та зарубіжного досвіду  на тлі воєнного стану в Україні
ІННОВАЦІЙНІ МЕХАНІЗМИ СТРАТЕГІЧНОГО ПЛАНУВАННЯ В СФЕРІ ПУБЛІЧНОГО УПРАВЛІННЯ
Authors: Колісніченко Наталя
Published: November 2023

У статті досліджуються теоретичні аспекти інноваційних механізмів стратегічного планування в сфері публічного управління. Розглядаються етапи стратегічного планування: формулювання місії та цілей організації; управлінське вивчення внутрішніх сильних та слабких сторін організації; вивчення стратегічних альтернатив, які можуть допомогти організації у досягненні поставлених цілей. Визначаються ті типи чинників, які є важливими для розвитку інноваційного управління стратегічним плануванням: доступ до ресурсів у системі публічного управління; доступ до знань у системі публічного управління; доступ до кваліфікованих людських ресурсів у системі публічного управління; нормативно-правова база з питань інноваційного управління у межах державної політики та урядових документів; інновації в управлінській культурі; стратегічна орієнтація; чіткий розподіл обов'язків. Разом з іншими новаційними механізмами стратегічного планування, які дозволяють ефективно реагувати на зазначені чинники, детально розглядається технологія сценарного розвитку - Scenario Development. Сценарне планування досліджується в системі публічного управління як процес, який використовується для формування планів дій в умовах невизначеності та ризику. Аналізуються етапи сценарного планування: визначення цілей і завдань; аналіз внутрішнього та зовнішнього середовища; розробка сценаріїв розвитку подій; оцінка сценаріїв; вибір стратегії для досягнення поставлених цілей та завдань; розробка плану дій. Розглядаються  приклади успішного використання сценарного планування в публічному управлінні: планування реагування на катастрофи, розробка стратегії розвитку енергетики та зменшення відповідного впливу на довкілля, планування бюджету та управління державними фінансами, розробка стратегій відновлення економіки, сценарне планування розвитку міст. Робиться висновок, що запровадження інноваційних механізмів стратегічного планування є актуальним для системи публічного управління з огляду на долання викликів сьогодення: поліпшення ефективності публічного управління; забезпечення довгострокової стійкості держави; реалізація принципів транспарентності та відкритості; підвищення конкурентоспроможності держави.