bluuebunny/crossref_metadata_2025 huggingface dataset:
Design, Construction, and Validation of an Experimental Electric Vehicle with Trajectory Tracking
Authors: Morales Viscaya Joel Artemio , Barranco Gutiérrez Alejandro Israel , González Gómez Gilberto
Published: April 2024

This research presents an experimental electric vehicle developed at the Tecnológico Nacional de México Celaya campus. It was decided to use a golf cart-type gasoline vehicle as a starting point. Initially, the body was removed, and the vehicle was electrified, meaning its engine was replaced with an electric one. Subsequently, sensors used to measure the vehicle states were placed, calibrated, and instrumented. Additionally, a mathematical model was developed along with a strategy for the parametric identification of this model. A communication scheme was implemented consisting of four slave devices responsible for controlling the accelerator, brake, steering wheel, and measuring the sensors related to odometry. The master device is responsible for communicating with the slaves, displaying information on a screen, creating a log, and implementing trajectory tracking techniques based on classical, geometric, and predictive control. Finally, the performance of the control algorithms implemented on the experimental prototype was compared in terms of tracking error and control input across three different types of trajectories: lane change, right-angle curve, and U-turn.
Through-Ice Acoustic Communication for Ocean Worlds Exploration
Authors: Lee Hyeong Jae , Bar-Cohen Yoseph , Badescu Mircea , Sherrit Stewart , Hockman Benjamin , Bryant Scott , Howell Samuel M. , Lesage Elodie , Smith Miles
Published: April 2024

Subsurface exploration of ice-covered planets and moons presents communications challenges because of the need to communicate through kilometers of ice. The objective of this task is to develop the capability to wirelessly communicate through kilometers of ice and thus complement the potentially failure-prone tethers deployed behind an ice-penetrating probe on Ocean Worlds. In this paper, the preliminary work on the development of wireless deep-ice communication is presented and discussed. The communication test and acoustic attenuation measurements in ice have been made by embedding acoustic transceivers in glacial ice at the Matanuska Glacier, Anchorage, Alaska. Field test results show that acoustic communication is viable through ice, demonstrating the transmission of data and image files in the 13–18 kHz band over 100 m. The results suggest that communication over many kilometers of ice thickness could be feasible by employing reduced transmitting frequencies around 1 kHz, though future work is needed to better constrain the likely acoustic attenuation properties through a refrozen borehole.
Recent Development in Intelligent Compaction for Asphalt Pavement Construction: Leveraging Smart Sensors and Machine Learning
Authors: Wang Yudan , Li Jue , Zhang Xinqiang , Yao Yongsheng , Peng Yi
Published: April 2024

Intelligent compaction (IC) has emerged as a breakthrough technology that utilizes advanced sensing, data transmission, and control systems to optimize asphalt pavement compaction quality and efficiency. However, accurate assessment of compaction status remains challenging under real construction conditions. This paper reviewed recent progress and applications of smart sensors and machine learning (ML) to address existing limitations in IC. The principles and components of various advanced sensors deployed in IC systems were introduced, including SmartRock, fiber Bragg grating, and integrated circuit piezoelectric acceleration sensors. Case studies on utilizing these sensors for particle behavior monitoring, strain measurement, and impact data collection were reviewed. Meanwhile, common ML algorithms including regression, classification, clustering, and artificial neural networks were discussed. Practical examples of applying ML to estimate mechanical properties, evaluate overall compaction quality, and predict soil firmness through supervised and unsupervised models were examined. Results indicated smart sensors have enhanced compaction monitoring capabilities but require robustness improvements. ML provides a data-driven approach to complement traditional empirical methods but necessitates extensive field validation. Potential integration with digital construction technologies such as building information modeling and augmented reality was also explored. In conclusion, leveraging emerging sensing and artificial intelligence presents opportunities to optimize the IC process and address key challenges. However, cooperation across disciplines will be vital to test and refine technologies under real-world conditions. This study serves to advance understanding and highlight priority areas for future research toward the realization of IC’s full potential.
A Multi-Agent RL Algorithm for Dynamic Task Offloading in D2D-MEC Network with Energy Harvesting
Authors: Mi Xin , He Huaiwen , Shen Hong
Published: April 2024

Delay-sensitive task offloading in a device-to-device assisted mobile edge computing (D2D-MEC) system with energy harvesting devices is a critical challenge due to the dynamic load level at edge nodes and the variability in harvested energy. In this paper, we propose a joint dynamic task offloading and CPU frequency control scheme for delay-sensitive tasks in a D2D-MEC system, taking into account the intricacies of multi-slot tasks, characterized by diverse processing speeds and data transmission rates. Our methodology involves meticulous modeling of task arrival and service processes using queuing systems, coupled with the strategic utilization of D2D communication to alleviate edge server load and prevent network congestion effectively. Central to our solution is the formulation of average task delay optimization as a challenging nonlinear integer programming problem, requiring intelligent decision making regarding task offloading for each generated task at active mobile devices and CPU frequency adjustments at discrete time slots. To navigate the intricate landscape of the extensive discrete action space, we design an efficient multi-agent DRL learning algorithm named MAOC, which is based on MAPPO, to minimize the average task delay by dynamically determining task-offloading decisions and CPU frequencies. MAOC operates within a centralized training with decentralized execution (CTDE) framework, empowering individual mobile devices to make decisions autonomously based on their unique system states. Experimental results demonstrate its swift convergence and operational efficiency, and it outperforms other baseline algorithms.
A Risk Assessment Framework Based on Fuzzy Logic for Automotive Systems
Authors: Merola Francesco , Bernardeschi Cinzia , Lami Giuseppe
Published: April 2024

Recent advancements in the automotive field have significantly increased the level of complexity and connectivity of modern vehicles. In this context, the topic of cybersecurity becomes extremely relevant, as a successful attack can have an impact in terms of safety on the car navigation, potentially leading to harmful behavior. Risk assessment is typically performed using discrete input and output scales, which can often lead to an identical output in terms of risk evaluation despite the inputs presenting non-negligible differences. This work presents a novel fuzzy-logic-based methodology to assess cybersecurity risks which takes attack feasibility and safety impact as input factors. This technique allows us explicitly model the uncertainty and ambiguousness of input data, which is typical of the risk assessment process, providing an output on a more detailed scale. The fuzzy inference engine is based on a set of control rules expressed in natural language, which is crucial to maintaining the interpretability and traceability of the risk calculation. The proposed framework was applied to a case study extracted from ISO/SAE 21434. The obtained results are in line with the traditional methodology, with the added benefit of also providing the scatter around the calculated value, indicating the risk trend. The proposed method is general and can be applied in the industry independently from the specific case study.
Phthalates: The Main Issue in Quality Control in the Beverage Industry
Authors: Iannone Alessia , Di Fiore Cristina , Carriera Fabiana , Avino Pasquale , Stillittano Virgilio
Published: April 2024

Phthalate esters (PAEs) are a group of chemicals used to improve the flexibility and durability of plastics. The chemical properties and the resistance to high temperatures promote their degradation and release into the environment. Food and beverages can be contaminated by PAEs through the migration from packaging material because they are not covalently bound to plastic and also via different kinds of environmental sources or during processing. For instance, alcoholic drinks in plastic containers are a particular risk, since the ethanol contained provides a good solubility for PAEs. According to its role as an endocrine disruptor compound and its adverse effects on the liver, kidney, and reproductive and respiratory systems, the International Agency on Research Cancer (IARC) classified di-(2-ethylhexyl) phthalate (DEHP) as a possible human carcinogen. For this reason, to control human exposure to PAEs, many countries prohibited their use in food as non-food substances. For example, in Europe, the Commission Regulation (EU) 2018/2005 restricts the use of DEHP, dibutyl phthalate (DBP), benzyl butyl phthalate (BBP), and diisobutyl phthalate (DiBP) to a concentration equal to or below 0.1 by weight in plasticizers in articles used by consumers or in indoor areas. There are reports from the US Food and Drug Administration (FDA) that some beverages (and food as well), particularly fruit juices, contain high levels of phthalates. In some cases, the deliberate adulteration of soft drinks with phthalate esters has been reported. This paper would like to show the difficulties of performing PAE analysis in beverage matrices, in particular alcoholic beverages, as well as the main solutions provided for quality control in the industrial branches.
Ethnic Variation in the Link between Women’s Relative Employment Positions and Entry into Parenthood in Belgium
Authors: Van den Berg Layla , Neels Karel
Published: April 2024

This study investigates the association between women’s relative employment positions and the transition to parenthood, focusing on women of Maghrebi, Turkish, and Southern European origin in Belgium. Whereas gender specialization is associated with higher chances of entering parenthood in the older literature, the economic preconditions to parenthood have shifted and more recent studies indicate that couples where both partners work are more likely to start a family. However, whereas this shift has been extensively studied among majority populations, we lack insight into whether similar patterns can also be found among population subgroups with a migration background. This paper uses Belgian census data from 2011–2015 to explore how women’s relative employment positions are linked to the likelihood of entering parenthood and whether this association varies by women’s age, generation, and origin of the male partner. The results indicate that couples in which both partners are employed are more likely to enter parenthood regardless of migration background. However, the results for women of Maghrebi or Turkish background suggest that single-earner couples and couples where both partners are unemployed delay entry into parenthood to a similar extent.
The Adultcentrism Scale: A Potential Contributor to Advancing Children’s Participation Rights in Nordic Contexts
Authors: Biswas Tanu , Florio Eleonora , Caso Letizia , Castelli Ilaria , Iacobino Serena
Published: April 2024

The question that the authors of this article are collectively concerned with is as follows: how is it possible to protect children without disempowering them? To this end, the authors work to change adultcentric scholarly and social norms that justify rationales that marginalize children. The article begins with a theoretical overview of childism, in its transformative sense, with special attention to how childism relates to intersectional analyses. In doing so, age is highlighted as an axis of marginalization with reference to adultcentrism. After that, the centrality of analyzing and problematizing adultism in educational research and practice is discussed. The discussion is followed by a presentation of the published results of ‘The Adultcentrism Scale’ research tool developed at the University of Bergamo and the University of LUMSA-Rome. The research tool is used to evaluate the presence of adultcentric bias in adults in relation to children and can be helpful to understanding the psychological dimensions of educational relationships. Finally, the conclusion offers suggestions for how the research tool might be a useful example to raise awareness of adultcentric bias, promoting reflections that can lead to age-inclusive transformations. Overall, then, the article initiates a pertinent dialogue for advancing children’s participation rights in Nordic research and society.
Remittance and Macroeconomic Performance in Top Migrating Countries
Authors: Oyadeyi Olajide O. , Adediran Idris A. , Kabir Balikis A.
Published: April 2024

Globalization opens up economies and encourages the free movement of persons and factors of production. Diaspora investors and workers earn income in the process and make remittances to the migrating countries. We examine the impact of the remittance inflow on the macroeconomic performance of top emigrating countries, which comprise nine emerging and two advanced economies. We conduct group and individual country analyses with distinct econometric models (Feasible Quasi Generalized Least Squares and Dynamic Common Correlated Effects) using data between 1987 and 2021. The results reveal positive impact of remittance inflows on nominal GDP and nominal GDP per capita and on real GDP and real GDP per capita, although evidence on the latter is weaker. In all, the emigrating countries can benefit from diaspora remittance in terms of improved productivity and macroeconomic performance. We therefore recommend better systems to facilitate remittance receipt and policies to channel such flows more into investment activities.
Fresh Produce Ordering, Pricing and Freshness-Keeping Decisions with Call Option Contracts and Spot Markets
Authors: Jia Deng , Chen Xingyu , Wang Chong
Published: April 2024

Considering the characteristics of both quality and quantity losses in fresh produce as well as the existence of spot markets, optimal retailer ordering, pricing, and freshness-keeping decisions through the single ordering policy (firm ordering only or option ordering only) and the mixed ordering policy (firm ordering and option ordering simultaneously) are constructed based on option contracts and analyzed for the retailer under different ordering policies. The results show that there is a unique optimal pricing, ordering, and freshness-keeping decision under all three ordering policies, but there is no joint decision. The optimal freshness-keeping and retail price under the mixed ordering policy are lower than those under the option ordering only but higher than those under the firm ordering only. When only a single order can be placed, the retailer’s optimal ordering policy is determined by demand risk. When all three ordering policies are available, the optimal ordering policy for the retailer is the mixed ordering policy. A spot market will weaken the role of option contracts in mitigating supply chain risks, and the larger the risk, the more significant the role of the spot market.
Perinatal Tetrahydrocannabinol Compromises Maternal Care and Increases Litter Attrition in the Long–Evans Rat
Authors: Carlson Emma , Teboul Eric , Canale Charlene , Coleman Harper , Angeliu Christina , Garbarini Karissa , Markowski Vincent P.
Published: April 2024

The marijuana legalization trend in the U.S. will likely lead to increased use by younger adults during gestation and postpartum. The current study examined the hypothesis that delta-9-tetrahydrocannabinol (THC) would disrupt voluntary maternal care behaviors and negatively impact offspring development. Rat dams were gavaged with 0, 2, 5, or 10 mg/kg THC from the 1st day of gestation through the 21st postnatal day. Somatic growth and developmental milestones were measured in the offspring, and maternal pup retrieval tests were conducted on postnatal days 1, 3, and 5. THC did not affect body growth but produced transient delays in the righting reflex and eye opening in offspring. However, there was significant pup mortality due to impaired maternal care. Dams in all THC groups took significantly longer to retrieve their pups to the nest and often failed to retrieve any pups. Serum levels of THC and metabolites measured at this time were comparable to those in breastfeeding women who are chronic users. Benchmark doses associated with a 10% reduction of pup retrieval or increased pup mortality were 0.383 (BMDL 0.228) and 0.794 (BMDL 0.442) mg/kg THC, respectively. The current findings indicate that maternal care is an important and heretofore overlooked index of THC behavioral toxicity and should be included in future assessments of THC’s health risks.
Temporal Trend of Serum Perfluorooctanoic Acid and Perfluorooctane Sulfonic Acid among U.S. Adults with or without Comorbidities in NHANES 1999–2018
Authors: Pan Jinhua , Ouyang Changping , Zhou Shengze , Wang Xuemei , Liu Heming , Zhang Jia , Wang Xiao , Shi Xiaoru , Yang Aimin , Hu Xiaobin
Published: April 2024

Perfluoroalkyl and polyfluoroalkyl substances (PFAS) are associated with adverse health effects. This study examined the trend of perfluorooctanoic acid (PFOA) and perfluorooctane sulfonic acid (PFOS) levels in individuals with and without pre-existing comorbidities. We analyzed the characteristics of 13,887 participants across nine U.S. NHANES cycles (1999–2000 to 2017–2018) and calculated the geometric mean (GM) of PFOA and PFOS levels, standardized by sex and age. A joinpoint regression model was used to analyze the temporal trends of serum PFOA and PFOS levels. We observed declining PFOA and PFOS serum levels among adults in NHANES from 1999–2000 to 2017–2018. Serum PFOA and PFOS concentrations were higher in men, smokers, and individuals with pre-existing CKD, hyperlipidemia, CVD, and cancer. We observed faster decline rates in PFOA levels among individuals with diabetes and CKD and faster decline rates in PFOS levels among individuals with diabetes and those without CKD. This study provided evidence of varying levels and changing trends of PFOA and PFOS between groups with and without established chronic disease, highlighting the role of environmental chemicals in the onset and development of chronic diseases.
Enhancing COVID-19 Vaccine Uptake among Tribal Communities: A Case Study on Program Implementation Experiences from Jharkhand and Chhattisgarh States, India
Authors: Meghani Ankita , Sharma Manjula , Singh Tanya , Dastidar Sourav Ghosh , Dhawan Veena , Kanagat Natasha , Gupta Anil , Bhatnagar Anumegha , Singh Kapil , Shearer Jessica C. , Soni Gopal Krishna
Published: April 2024

Tribal populations in India have health care challenges marked by limited access due to geographical distance, historical isolation, cultural differences, and low social stratification, and that result in weaker health indicators compared to the general population. During the pandemic, Tribal districts consistently reported lower COVID-19 vaccination coverage than non-Tribal districts. We assessed the MOMENTUM Routine Immunization Transformation and Equity (the project) strategy, which aimed to increase access to and uptake of COVID-19 vaccines among Tribal populations in Chhattisgarh and Jharkhand using the reach, effectiveness, adoption, implementation, and maintenance framework. We designed a qualitative explanatory case study and conducted 90 focus group discussions and in-depth interviews with Tribal populations, community-based nongovernmental organizations that worked with district health authorities to implement the interventions, and other stakeholders such as government and community groups. The active involvement of community leaders, targeted counseling, community gatherings, and door-to-door visits appeared to increase vaccine awareness and assuage concerns about its safety and efficacy. Key adaptations such as conducting evening vaccine awareness activities, holding vaccine sessions at flexible times and sites, and modifying messaging for booster doses appeared to encourage vaccine uptake among Tribal populations. While we used project resources to mitigate financial and supply constraints where they arose, sustaining long-term uptake of project interventions appears dependent on continued funding and ongoing political support.
The Development of a Multienzyme Isothermal Rapid Amplification Assay to Visually Detect Duck Hepatitis B Virus
Authors: Xu Shuqi , Man Yuanzhuo , Xu Xin , Ji Jun , Wang Yan , Yao Lunguang , Xie Qingmei , Bi Yingzuo
Published: April 2024

Duck hepatitis B virus (DHBV) is widely prevalent in global ducks and has been identified in Chinese geese with a high prevalence; the available detection techniques are time-consuming and require sophisticated equipment. In this study, an assay combining multienzyme isothermal rapid amplification (MIRA) and lateral flow dipstick (LFD) was developed for the efficient and rapid detection of DHBV. The primary reaction condition of the MIRA assay for DHBV detection was 10 min at 38 °C without a temperature cycler. Combined with the LFD assay, the complete procedure of the newly developed MIRA assay for DHBV detection required only 15 min, which is about one-fourth of the reaction time for routine polymerase chain reaction assay. And electrophoresis and gel imaging equipment were not required for detection and to read the results. Furthermore, the detection limit of MIRA was 45.6 copies per reaction, which is approximately 10 times lower than that of a routine polymerase chain reaction assay. The primer set and probe had much simpler designs than loop-mediated isothermal amplification, and they were only specific to DHBV, with no cross-reactivity with duck hepatitis A virus subtype 1 and duck hepatitis A virus subtype 3, goose parvovirus, duck enteritis virus, duck circovirus, or Riemerella anatipestifer. In this study, we offer a simple, fast, and accurate assay method to identify DHBV in clinical serum samples of ducks and geese, which would be suitable for widespread application in field clinics.
Fractional-Order PIλDμ Control to Enhance the Driving Smoothness of Active Vehicle Suspension in Electric Vehicles
Authors: Yin Zongjun , Wang Ru , Ma Xuegang , Su Rong
Published: April 2024

The suspension system is a crucial part of an electric vehicle, which directly affects its handling performance, driving comfort, and driving safety. The dynamics of the 8-DoF full-vehicle suspension with seat active control are established based on rigid-body dynamics, and the time-domain stochastic excitation model of four tires is constructed by the filtered white noise method. The suspension dynamics model and road surface model are constructed on the Matlab/Simulink simulation software platform, and the simulation study of the dynamic characteristics of active suspension based on the fractional-order PIλDμ control strategy is carried out. The three performance indicators of acceleration, suspension dynamic deflection, and tire dynamic displacement are selected to construct the fitness function of the genetic algorithm, and the structural parameters of the fractional-order PIλDμ controller are optimized using the genetic algorithm. The control effect of the optimized fractional-order PIλDμ controller based on the genetic algorithm is analyzed by comparing the integer-order PID control suspension and passive suspension. The simulation results show that for optimized fractional-order PID control suspension, compared with passive suspension, the average optimization of the root mean square (RMS) of acceleration under random road conditions reaches over 25%, the average optimization of suspension dynamic deflection exceeds 30%, and the average optimization of tire dynamic displacement is 5%. However, compared to the integer-order PID control suspension, the average optimization of the root mean square (RMS) of acceleration under random road conditions decreased by 5%, the average optimization of suspension dynamic deflection increased by 3%, and the average optimization of tire dynamic displacement increased by 2%.
The image of voivodeship cities among residents: exploring age-related perspectives
Authors: Tomaszewska Ewelina , Glińska Ewa
Published: April 2024

Purpose: Image is one of the key issues in city marketing and branding. City image studies are essential tools for urban planners, social researchers as well as political decision-makers and local authorities aiming to understand how people perceive the urban space in which they live. The objective of this article is to identify the image of voivodeship cities among their residents based on the respondents’ age categories.
Methodology/approach: The article relies on the results of a quantitative study conducted with a sample of 728 respondents residing in selected voivodeship cities in Poland. The research tool employed in the study was a standardised survey questionnaire.
Findings: The findings reveal a statistically significant difference in the assessment of the overall city image by residents across various age categories.
Practical implications: This article may serve as an inspiration for city managers who, in shaping a positive image of urban centres, can communicate information about selected city attributes tailored to the chosen age category of inhabitants.
Originality/value: The research results unequivocally confirm that older city dwellers appear to be more inclined to feel an emotional connection to their place of residence and express positive opinions about it.
QUESTÃO FEDERAL INFRACONSTITUCIONAL NO RECURSO ESPECIAL E SUAS NUANCES
Authors: ANDRADE KREJCI LUCAS , DE FATIMA MORAES TASSIANE
Published: April 2024

This article aims to present an analysis of the relevance of the federal infraconstitutional issue in the Special Appeal, introduced by Constitutional Amendment 125/2022. In this sense, the Special Appeal, the appropriateness of the Special Appeal, the concept of relevance of the Special Appeal, the requirement to apply the federal question were analyzed. Furthermore, a study was carried out on the motivation for the reform, the criticisms directed towards it, as well as regarding the beginning of the federal issue's validity and when it will be regulated in ordinary legislation and in the RISTJ and, finally, the conclusions reached were due to the importance the new figure constitutionally provided for in the filter for appeals to the STJ, as well as the lack of regulation on the subject.
A EXIGÊNCIA DE REQUERIMENTO ADMINISTRATIVO PRÉVIO JUNTO AO INSS PARA FINS DE CARACTERIZAÇÃO DO INTERESSE DE AGIR A LUZ DA JURISPRUDÊNCIA
Authors: SÉRGIO PINHEIRO DE SOUZA JUNIOR PAULO
Published: April 2024

This article aims to briefly discuss the requirement by Brazilian Courts of prior administrative request with the INSS for the purpose of characterizing the requirement of standing in judicial actions seeking the granting of social security benefits. To achieve this goal, research was conducted on the jurisprudence of the Supreme Federal Court, the Superior Court of Justice, and the Regional Federal Courts.
The Role of Attention Mechanism in Generating Image Captions: An Innovative Approach with Neural Network-Based Seq2seq Model
Authors: Karaca Zeynep , Daş Bihter
Published: April 2024

Image-to-text generation contributes significantly across various domains such as entertainment, communication, commerce, security, and education by establishing a connection between visual and textual content through the creation of explanations. This process aims to transform image data into meaningful text, enhancing content accessibility, comprehensibility, and processability. Hence, advancements and studies in this field hold paramount importance. This study focuses on how the fusion of the Sequence-to-Sequence (Seq2seq) model and attention mechanism enhances the generation of more meaningful captions from images. Experiments conducted on the Flickr8k dataset highlight the Seq2seq model's capacity to produce captions in alignment with reference sentences. Leveraging the dynamic focus of the attention mechanism, the model effectively captures detailed aspects of images.
Predicting Engine Emissions Using Eco-Friendly Fuels for Sustainable Transportation
Authors: Eren Beytullah , Cesur İdris
Published: April 2024

In recent years, increasing concerns about vehicle emissions' environmental and public health impacts have led to the desire to use eco-friendly fuels as alternatives to traditional fossil fuels. Biofuels, hydrogen, and electric power offer lower greenhouse gas emissions and improved air quality, resulting in their development and adoption globally. Predicting vehicle emissions using these fuels is crucial for assessing their environmental benefits. This study proposes using artificial neural networks (ANN), a machine learning technique, to accurately predict vehicle emissions associated with eco-friendly fuels across different compositions and engine speeds. The ANN model has a strong correlation between predicted and observed emissions values, indicating the effectiveness of its model. The research underscores the importance of adopting innovative approaches to address environmental challenges and promote sustainable transportation solutions. This study contributes to reducing the adverse effects of vehicle emissions on air quality and public health by assisting policymakers, car manufacturers, and city planners in making effective decisions. It promotes environmental sustainability by providing valuable insights into vehicle emissions prediction and guiding the development of eco-friendly fuels for a more efficient transportation system.
Studi Pengetahuan Remaja terhadap Perilaku Keikutsertaan Vaksinasi Covid-19
Authors: Puji Astuti Ana , Musta'in Mukhamad , Wulansari  , Sugiarto Heri
Published: April 2024

Coronavirus Disease 19 (Covid-19) sudah lebih dari dua tahun berjalan dan masih menjadi pandemi di beberapa negara, tidak terkecuali di negara Indonesia. Berbagai upaya dilakukan oleh pemerintah untuk mengatasi masalah ini. Penerapan protokol kesehatan yang ketat dan pemberian vaksinasi dirasakan cukup efektif dalam menurunkan angka Covid-19. Vaksinasi Covid-19 diberikan kepada lanjut usia, dewasa, anak dan tidak terkecuali remaja yang juga rentan mengalami infeksi Covid-19. Tingkat pengetahuan dan tingginya keikutsertaan remaja diharapkan mampu memutus rantai penularan dan menurunkan angka kejadian Covid-19. Penelitian ini bertujuan untuk mengetahui hubungan tingkat pengetahuan tentang vaksinasi Covid-19 dengan perilaku remaja dalam keikutsertaan vaksinasi Covid-19. Jenis penelitian adalah non-eksperimen dengan rancangan korelasional dan desain cross sectional. Responden penelitian ini dengan jumlah sampel 47 orang dan pengambilan sampel menggunakan teknik total sampling. Pengumpulan data menggunakan kuesioner pengetahuan dan perilaku. Hasil penelitian menunjukkan umur terbanyak adalah remaja dengan kategori remaja lanjut (57,4%), jenis kelamin terbanyak yaitu laki-laki (53,2%), tingkat pengetahuan vaksinasi Covid-19 berkategori baik (55,3%), perilaku dengan kategori ikut vaksinasi (89,4%). Nilai korelasi Chi Square hubungan pengetahuan dengan perilaku menunjukkan nilai p value = 0,045 (p<0,05). Kesimpulan terdapat hubungan antara pengetahuan dengan perilaku remaja dalam keikutsertaan vaksinasi Covid-19. Pemberian informasi yang baik dan benar akan mendorong keikutsertaan remaja dalam vaksinasi Covid-19
Persepsi Stres Mahasiswa DIII Keperawatan Mengahadapi Praktik Klinik Kegawatdaruratan
Authors: Dewi Siyamti  , Maksum
Published: April 2024

Perawat merupakan salah satu profesi yang dituntut untuk memiliki pengetahuan, letrampilan dan sikap yang professional dalam memberikan pelayanan kesehatan bagi masyarakat. Tuntutan tersebut berlaku sama bagi mahasiswa yang akan melakukan praktik klinik keperawatan di fasilitas kesehatan sebagai bagian dari proses pembelajaran untuk mengaplikasikan ilmu dan ketrampilan yang telah diperoleh di akademik. Perlunya penguasaan pengetahuan, ketrampilan dan adaptasi pada lingkungan baru menjadi pemicu stress bagi mahasiswa. Penelitian ini bertujuan untuk mengetahui tingkat stress yang dialami oleh mahasiswaDIII keperawatan yang akan melaksanakan praktik klinik kegawatdaruratan di rumah sakit. Desain penelitian ini deskriptif kuantitatif non eksperimen dengan metode cross sectional dan menggunakan total sampling.  Sampel pada penelitian ini mahasiswa DIII keperawatan semester 6 sejumlah 20 orang. Pengumpulan data dengan pengisian kuesioner Perceived Stress Scale (PSS) yang terdiri 10 pertanyaan dan di kelompokkan menjadi skala ringan, sedang dan berat. Hasil penelitian menunjukkan mayoritas responden mengalami stress sedang 65%, ringan 20% dan berat 15%. Mahasiswa perawat yang melaksanakan praktik klinik kegawatdaruratan mengalami stress sedang secara mayoritas. Diharapkan identifikasi awal dan pengelolaan stress yang baik dapat dilakukan oleh pihak akademik untuk meningkatkan kualitas pembelajaran mahasiswa di klinik.
Produção de artefatos a partir da reciclagem de resíduos de PLA oriundos do processo de Impressão 3D
Authors: Tavares Rafael Reche , Morisso Fernando Dal Pont , Carús Lauren Arrussul
Published: April 2024

Com a popularização das impressoras 3D, a manufatura aditiva ultrapassou os ambientes industriais e pode ser encontrada em instituições de ensino e ambientes domésticos. O incremento na aquisição destas máquinas proporcionou aumento significativo na geração de resíduos oriundos da impressão 3D, sendo o poli(ácido láctico) (PLA) o material mais utilizado em função do fácil processamento. A fim de compreender como Instituições de Ensino Superior estão gerindo os resíduos de impressão 3D, esta pesquisa buscou estudar como a Universidade Feevale organiza o sistema de gestão ambiental do campus II, local onde opera o Curso de Design. A partir disso, foi possível promover a reciclagem dos resíduos de PLA por meio de diversas formas de reprocessamento, integrando espaços como o Laboratório de Materiais, o Centro de Tecnologias Limpas e o Centro de Design. Verificou-se que a reciclagem de materiais nas Instituições de Ensino é dependente de infraestruturas adequadas e ações de pesquisa.
Expectativa e percepção dos usuários na fase de mudança: estudo de caso nas salas de aula da Escola de Design
Authors: Brito Gabriela Leisa d , Castro Iara Sousa
Published: April 2024

A temática deste artigo abrange a relação usuário-ambiente e as potencialidades de se explicitar as experiências dos usuários no processo de mudança de um espaço para outro, antes que estas experiências sejam cristalizadas com o passar dos meses, a fim de tirar lições para a prática projetual do designer de ambientes. Ao considerar que a fase de mudança é organizada em cinco etapas, o objetivo deste artigo é analisar a etapa de espera e a etapa do início do uso, nos primeiros dez dias do start-up, de uma edificação de ensino superior. Os procedimentos metodológicos foram pautados nos princípios e instrumentos clássicos da Avaliação Pós-Ocupação, adotando-se as salas de aula como objeto de estudo.Explorar essas duas etapas permitiu analisar as expectativas e as percepções iniciais dos usuários futuros em relação à edificação que iriam ocupar, atreladas com a memória e conhecimento desses usuários em relação à edificação que ocupavam anteriormente.
Classification of COVID-19 Cough Sounds using Mel Frequency Cepstral Coefficient (MFCC) Feature Extraction and Support Vector Machine
Authors: Mafazy Muhammad Meftah , Faisal Mohammad Reza , Kartini Dwi , Indriani Fatma , Saragih Triando Hamonangan
Published: April 2024

A lot of research has been carried out to detect COVID-19, such as swabs, rapid antigens, and using x-ray images. However, this method has the disadvantage that it requires taking samples through physical contact with the patient. One way to avoid physical contact is to use audio through coughing with the aim of reducing the transmission of COVID-19. Audio feature extraction such as the Mel Frequency Cepstral Coefficient (MFCC) has often been used in audio classification research, such as the classification of musical genres and so on. This study aims to compare more or less the features of audio classification performance through coughing sounds for early detection of COVID-19 using a Support Vector Machine based on the Linear and Radial Basis Function (RBF). The dataset used is the COVID-19 Cough audio dataset, before classifying, the audio data is processed into a spectrogram and then feature extraction is carried out. Classification is divided into 2 schemes, using default parameters, then using the specified configuration parameters. From the research results, the highest AUC is 0.572266 in the linear kernel-based SVM classification. Meanwhile, when using the RBF kernel, the highest AUC is 0.560181.
Extrasystolic arrhythmia as an atrial fibrillation predictor
Authors: Kunts Luiza D. , Germanova Olga A. , Reshetnikova Yuliya B. , Galati Giuseppe , Milevskaya Irina V. , Biondi-Zoccai Giuseppe
Published: April 2024

There is a number of conflicting data regarding electrocardiographic predictors of atrial fibrillation, among which extrasystoles (ES) stand out, but there is no reliable data on which extrasystoles variants may be considered as a risk factor.
To identify the relationship between extrasystoles and atrial fibrillation, we have analyzed 3927 publications, from which we identified 46 works relevant for the topic.
The data obtained allows us to consider extrasystole as one of the main predictors of the development of atrial fibrillation. An increase in the number of supraventricular and ventricular ES in the anamnesis of patients with atrial fibrillation indicates their relationship.
Missing Link Prediction in Art Knowledge Graph using Representation Learning
Authors:   College of Engineering, COEP Technological University Pune (Maharashtra), India., Mahure Swapnil S. , Khobragade Anish R. ,   College of Engineering, COEP Technological University Pune (Maharashtra), India.
Published: April 2024

Knowledge graphs are an important evolving field in Artificial Intelligence domain which has multiple applications such as in question answering, important information retrieval, information recommendation, Natural language processing etc. Knowledge graph has one big limitation i.e. Incompleteness, it is due to because of real world data are dynamic and continues evolving. This incompleteness of Knowledge graph can be overcome or minimized by using representation learning models. There are several models which are classified on the base of translation distance, semantic information and NN (Neural Network) based. Earlier the various embedding models are test on mostly two well-known datasets WN18RR & FB15k-237. In this paper, new dataset i.e. ArtGraph has been utilised for link prediction using representation learning models to enhance the utilization of ArtGraph in various domains. Experimental results shown ConvKB performed better over the other models for link prediction task.
An Introduction to Computational Linguistics Advantages&Disadvantages
Authors: Eman M. Muslim
Published: April 2024

The current study tends to show the growth of computational
linguistics and the motivations of its existence, the field which it refers to,
its theoretical and applied components, its relation to natural language
understanding, advantages and disadvantages of natural language
processing, some of the most important applications, with reference to its
role in teaching and learning processes and the problems facing them.
The combined action of polyammoniumphosphate and retardants – chlorinated rubber as flame for unsaturated polyester resin
Authors: Mohammad Nadhum Bahjat Al-Baiati
Published: April 2024

In this investigation, polyammoniumphosphate (PAP) (I) and chlorinated Rubber (CR.) (II) ,were used as flame retardant for Unsaturated polyester resin in the weight ratios of 2,4,6 & 8%, by preparing films of (130×130×3) mm in diameter, Also film of Unsaturated polyester resin with mixture of [50%(PAP)+50%(CR.)] (III) in percentage of 2,4,6 & 8% by weight prepared to test the combined action .Three standard tests used to measure the flame retardation which are :1-ASTM : D-28632-ASTM : D-6353-ASTM : D-3014The results obtained from these tests indicating that , the (CR.), (PAP) and their mixture, have a good effect as flame retardants for Unsaturated polyester resin, but their combined action of them was more effective than each of them alone .Finally , the compatibility between the additives and polymer which have a clear effect on retardation
ﺍﻷﺻﻭﺍﺕ ﺍﻟﻣﺗﻐﻳﺭﺓ ﻣﻥ ﻭﺟﻬﺔ ﻧﻅﺭ ﺣﺩﻳﺛﺔ
Authors: ﺩ.ﺇﻳﺛﺎﺭ ﺷﻭﻗﻲ ﺳﻌﺩﻭﻥ
Published: April 2024

ﻫذا ﺒﺤث ﻴﻌرض ﻟظﺎﻫرة ﻟﻐوﻴﺔ أﺜرت وﺘﺄﺜرت ﺒﺎﻟظواﻫر اﻟﻠﻐوﻴﺔ ﻋﻠﻰ اﺨﺘﻼﻓﻬﺎ اذ
ﻻﺒد ﻋﻨد د ارﺴﺔ اﻟﻤﺴﺘوى اﻟﻨﺤوي واﻟﺒﻼﻏﻲ واﻟﺼرﻓﻲ أن ﻨﻌرض ﻟﻤﺎ ﻴﺴﻤﻰ ﺒﺎﻷﺼوات
اﻟﻤﺘﻐﻴرة أو ( أﺼوات اﻟﻤد واﻟﻠﻴن ). واﻟﺤق أ ّن اﻟﻘداﻤﻰ ﺒدءاً ﻤن اﻟﺨﻠﻴﻝ ﺤﺘﻰ أﺒن ﺠﻨﻲ
ﻋرﻀوا ﻟﻬﺎ ﺸرﺤﺎً وﺘﻔﺴﻴ اًر ووﺼﻔﺎً ٬ ٕوا ّن ﻤﻌظم آ ارﺌﻬم ﻓﻴﻬﺎ ﻻ ﺘ ازﻝ ﻤﻌﺘﻤداً ﻋﻠﻴﻬﺎ ﻟﻴوﻤﻨﺎ ﻫذا
ﺍﻷﻧﺷﻁﺔ ﺍﻻﻗﺗﺻﺎﺩﻳﺔ ﺍﻷﻣﺭﻳﻛﻳﺔ ﻓﻲ ﺍﻟﻌﺭﺍﻕ ﻭﺩﻭﺭ ﺍﻟﻭﻻﻳﺎﺕ ﺍﻟﻣﺗﺣﺩﺓ ﻓﻲ ﺗﻌﺎﻣﻝ ﺍﻟﻣﻧﻅﻣﺎﺕ ﺍﻻﻗﺗﺻﺎﺩﻳﺔ ﺍﻟﺩﻭﻟﻳﺔ ﻣﻌﻪ ﻓﻲ ﻣﻧﺎﻗﺷﺎﺕ ﻣﺟﻠﺱ ﺍﻟﻧﻭﺍﺏ ﺍﻟﻌﺭﺍﻗﻲ (۱۹٥۸­۱۹٤٥)
Authors: ﺩ.ﺻﺑﺭﻱ ﻓﺎﻟﺢ ﺍﻟﺣﻣﺩﻱ
Published: April 2024

١ اﻟﺘﺒﺎدﻝ اﻟﺘﺠﺎري .
-٢ اﻟﺸرﻛﺎت اﻻﻤرﻴﻛﻴﺔ وﻨﻔط اﻟﻌ ارق واﺴﺘﺜﻤﺎر ﺜرواﺘﻪ اﻟﻤﻌدﻨﻴﺔ .
-٣ أﺜر اﻟﺘـدﺨﻝ اﻻﻤرﻴﻛـﻲ ﻓـﻲ اداء ﻤﻨظﻤـﺎت اﻻﻤـم اﻟﻤﺘﺤـدة اﻻﻗﺘﺼـﺎدﻴﺔ ﻓـﻲ اﻟﺘﻌﺎﻤـﻝ ﻤـﻊ
 
اﻟﻌ ارق .
 
­۱ ﺍﻟﺗﺑﺎﺩﻝ ﺍﻟﺗﺟﺎﺭﻱ :
أﻟﻘــت أﺤــداث اﻟﺤــرب اﻟﻌﺎﻟﻤﻴــﺔ اﻟﺜﺎﻨﻴــﺔ (١٩٤٥ - ١٩٣٩) واﻟﻨﺘــﺎﺌﺞ اﻟﻤؤﻟﻤــﺔ اﻟﺘــﻲ
ﺘﻤﺨﻀـت ﻋﻨﻬـﺎ وﻓـﻲ ﻤﺠـﺎﻻت اﻟﺤﻴـﺎة اﻟﻤﺨﺘﻠﻔـﺔ ﺒظﻼﻟﻬـﺎ ﻋﻠـﻰ ﺸـﻌوب اﻟﻌـﺎﻟم اﻟﺘـﻲ اﻛﺘـوت
ﺒﺂﺜﺎرﻫﺎ ٬ وأﺼﺎب اﻟﻌ ارق اﻟﻛﺜﻴر ﻤن اﻷﻀ ارر اﻻﻗﺘﺼـﺎدﻴﺔ اﻟﺘـﻲ ﻟﺤﻘـت ﺒﺸـﻌﺒﻪ ﺠـ ارء اﺴـﺘﺨدام
أ ارﻀــﻴﻪ ﻤﻨطﻠﻘــﺎ ﻟﻘــوات اﻟﺤﻠﻔــﺎء (اﻟوﻻﻴــﺎت اﻟﻤﺘﺤــدة اﻷﻤرﻴﻛﻴــﺔ ٬ ﺒرﻴطﺎﻨﻴــﺎ ٬ ﻓرﻨﺴــﺎ) وﻗﺎﺴــﻰ
اﻟﻌ ارﻗﻴـون ﻓـﻲ ﺴـﻨوات اﻟﺤـرب اﻟﻌﺠـﺎف أﺼـﻨﺎف اﻟﻌـذاب وﺘﺤﻤﻠـوا اﻟﻛﺜﻴـر ﻤـن اﻟظﻠـم اﻟﻤﻘﻴـت
اﻟـذي ﺤـﻝ ﺒﻬـم
ﺍﻟﻐﺭﺑﺔ ﻭﺍﻟﺣﻧﻳﻥ ﻣﻧﻔﺫﺍً ﻟﻠﺷﻌﺭ ﺍﻟﻭﻁﻧﻲ ﻭﺍﻟﻘﻭﻣﻲ ﻋﻧﺩ ﺍﻟﺷﺎﻋﺭ ﺍﻟﻛﺎﻅﻣﻲ
Authors: ﺃ.ﻡ.ﺩ. ﻋﺑﺩ ﺍﻟﺭﺯﺍﻕ ﻛﺭﻳﻡ ﺧﻠﻑ
Published: April 2024

ﻟﻴس ﻤوﻀوع اﻟﻐرﺒﺔ وﻤﺎ ﺘﻌﻛﺴﻪ ﻤن إﻴﺤﺎءات وﻀﻐوط وﻫم ﻨﻔﺴﻲ ٬ ﻋﻠﻰ اﻟﺸﺎﻋر
 
اﻟﻌرﺒﻲ ﺒﺠدﻴد ٬ ﻓﺎﻟﻐرﺒﺔ واﻟﺤﻨﻴن اﻟﻤ اردف ﻟﻬﺎ واﻛب ﻤﺴﻴرة اﻟﺸﻌر اﻟﻌرﺒﻲ ﻤﻨذ أﻗدم ﻋﺼورﻩ ٬
 
ﻟﻛن اﻟﺠدﻴد ﻓﻲ رؤﻴﺘﻨﺎ ﻟﻠﻐرﺒﺔ أن ﺘﻛون وازﻋﺎً ﺤﻘﻴﻘﻴﺎً وﺒّﻴﻨﺎً ﻟﻤوﻀوع ﺸﻌري آﺨر ﻛﺎن ﺤﻀورﻩ
ﺒداﻴﺎت اﻟﻘرن اﻟﻤﺎﻀﻲ ﺤﻀو اًر ﻓﺎﻋﻼً ﻟﻠظروف اﻟﺴﻴﺎﺴﻴﺔ اﻟﻤﻌروﻓﺔ اﻟﺘﻲ ﻴﻤر ﺒﻬﺎ اﻟوطن
 
اﻟﻌرﺒﻲ وﻫو ﻴرزح ﺘﺤت ﻨﻴر أﻨواع ﻤن اﻻﺴﺘﻌﻤﺎر اﻟﻌﺜﻤﺎﻨﻲ ﻤﻨﻪ واﻟﻐرﺒﻲ ٬ أﻻ وﻫو ﻤوﻀوع
 
اﻟﺸﻌري اﻟﻘوﻤﻲ واﻟوطﻨﻲ.
PENERAPAN METODE SMART PENENTUAN MEREK SIRUP TERBAIK PADA VUXIA BEAUTE CAFE
Authors: Agata Akbar Kurnia , Hasugian Humisar
Published: April 2024

Vuxia Beaute Cafe ialah sebuah usaha di bidang kafe kecantikan yang berdiri sejak tahun 2021. Mereka selalu berusaha untuk memastikan pelanggan puas dengan menyajikan minuman berkualitas tinggi. Namun, dalam menjalankan usaha menghadapi tantangan dalam menentukan merek sirup yang tepat untuk minuman mereka. Hal ini sangat penting karena merek sirup dapat mempengaruhi kualitas produk minuman yang disajikan. Saat ini, persoalan yang dihadapi adalah kesulitan dalam menemukan merek sirup yang sesuai dengan selera pelanggan dan kurangnya tata cara yang efektif untuk menilai merek sirup. Saat ini, penilaian merek sirup dilakukan secara subjektif berdasarkan penilaian dari pemilik kafe dan kepala barista saja, sehingga sulit menentukan merek sirup terbaik dengan objektif. Untuk mengatasi permasalahan ini, Vuxia Beaute Cafe perlu adanya sebuah sistem yang mendukung pengambilan keputusan untuk membantu menentukan merek sirup terbaik berdasarkan kriteria-kriteria yang telah ditetapkan, dalam penelitian ini digunakan kriteria rasa, aroma, harga, masa kedaluwarsa, dan tekstur. Metode Simple Multi-Attribute Rating Technique (SMART) terpilih karena penggunaan rumus lebih singkat dan sederhana dalam pengolahan data. Hasil pengolahan data menunjukkan bahwa merek sirup terbaik untuk Vuxia Beaute Cafe adalah Delifru dengan nilai akhir pengolahan data sebesar 0,79, Dipilih berdasarkan kriteria yang telah ditetapkan sebelumnya.
RANCANG BANGUN PEMILAH SAMPAH ORGANIK DAN NON ORGANIK BERBASIS MOBILE DI MEDANG LESTARI
Authors: Maulana Rizky Akbar , Windarto Windarto
Published: April 2024

Tempat sampah yang berada di RT 01/08 saat ini masih menggunakan hanya 1 wadah tempat sampah. Tempat sampah yang ada pada rumah warga saat ini menyebabkan sampah organik dan non organik menjadi tercampur. Hal ini menimbulkan permasalahan di lingkungan RT 01/08, lingkungan menjadi tidak enak untuk dipandang dan meninmbulkan bau yang menyengat dikarenakan penumpukan sampah yang tercampur. Dampak buruk dari tercampurnya sampah ini bisa dikurangi dengan cara memisahkan sampah sesuai jenis kategorinya ketika membuang sampah. Seiring perkembangan di zaman era globalisasi dan teknologi informasi khususnya dibidang mikrokontroler dan sensor sangat membantu kemajuan untuk kehidupan manusia. Munculnya berbagai jenis teknologi yang baru dapat membantu aktivitas kerja manusia dan berdampak juga untuk kebersihan lingkungan. Tujuan dari penelitian ini membuat tempat sampah otomatis yang dapat memilah sampah organik dan non organik berbasis mobile, sehingga dapat mengurangi tercampurnya jenis sampah menjadi satu di lingkungan dan dapat dilakukan kontrol untuk buka dan tutup tempat sampah. Metode prototipe yang telah diuji dapat berjalan dengan baik sesuai hal yang di inginkan. Metode prototipe ini melakukan perancangan sistem dan alat yang dapat memilah jenis sampah sesuai kategorinya sehingga menghasilkan output sampah organik dan non organik secara terpisah secara otomatis. Penggunaan sensor ultrasonik berfungsi untuk mendeteksi jarak pengguna, sensor proximity kapasitif dan infrared berfungsi untuk mendeteksi sampah organik dan non organik. Hasil pengujian tempat sampah otomatis ini sensor ultrasonik dapat mendeteksi jarak pengguna dengan baik sehingga tutup tempat sampah dapat membuka dan menutup secara otomatis. Dalam membedakan jenis sampah organik dan non organik, Sensor proximity kapasitif dapat mendeteksi sampah organik berupa sampah sayur-sayuran, kulit buah dan daun. Lalu pada sensor proximity infrared dapat mendeteksi sampah non organik berupa sampah botol plastik dan bungkus makanan. Namun 2 sensor proximity ini mengalami delay untuk mendeteksi sampah sekitar 1-3 detik. Namun delay tersebut tidak memberikan dampak yang berarti, sehingga hasil pengujian juga memberikan dampak positif untuk masyarakat menjadi sadar dalam hal membuang sampah sesuai kategorinya