bluuebunny/crossref_metadata_2025 huggingface dataset:
Detecting Lunar Linear Structures Based on Multimodal Semantic Segmentation: The Case of Sinuous Rilles
Authors: Zhang Sheng , Liu Jianzhong , Michael Gregory , Zhu Kai , Lei Danhong , Zhang Jingyi , Liu Jingwen , Ren Man
Published: April 2024

Tectonic features on the Moon can reflect the state of stress during the formation of the structure, and sinuous rilles can provide further insight into the tectonic-thermal evolution of the Moon. Manual visual interpretation is the primary method for extracting these linear structures due to their complex morphology. However, extracting these features from the vast amount of lunar remote sensing data requires significant time and effort from researchers, especially for small-scale tectonic features, such as wrinkle ridges, lobate scarps, and high-relief ridges. In order to enhance the efficiency of linear structure detection, this paper conducts research on the automatic detection method of linear structures using sinuous rilles as an example case. In this paper, a multimodal semantic segmentation method, “Sinuous Rille Network (SR-Net)”, for detecting sinuous rilles is proposed based on DeepLabv3+. This method combines advanced techniques such as ECA-ResNet and dynamic feature fusion. Compared to other networks, such as PSPNet, ResUNet, and DeepLabv3+, SR-Net demonstrates superior precision (95.20%) and recall (92.18%) on the multimodal sinuous rille test set. The trained SR-Net was applied in detecting lunar sinuous rilles within the range of 60°S to 60°N latitude. A new catalogue of sinuous rilles was generated based on the results of the detection process. The methodology proposed in this paper is not confined to the detection of sinuous rilles; with further improvements, it can be extended to the detection of other linear structures.
Image Super Resolution-Based Channel Estimation for Orthogonal Chirp Division Multiplexing on Shallow Water Underwater Acoustic Communications
Authors: Liu Haoyang , He Chuanlin , Yu Yanting , Bai Yiqi , Han Yufei
Published: April 2024

Orthogonal chirp division multiplexing (OCDM) offers a promising modulation technology for shallow water underwater acoustic (UWA) communication systems due to multipath fading resistance and Doppler resistance. To handle the various channel distortions and interferences, obtaining accurate channel state information is vital for robust and efficient shallow water UWA communication. In recent years, deep learning has attracted widespread attention in the communication field, providing a new way to improve the performance of physical layer communication systems. In this paper, the pilot-based channel estimation is transformed into a matrix completion problem, which is mathematically equivalent to the image super-resolution problem arising in the field of image processing. Simulation results show that the deep learning-based method can improve the channel distortion, outperforming the equalization performed by traditional estimator, the performance of Bit Error Rate is improved by 2.5 dB compared to the MMSE method in OCDM system. At the 7.5 to 20 dB region, it achieves better bit error rate performance than OFDM systems, and the bit error rate is reduced by approximately 53% compared to OFDM when the SNR value is 20, which is very useful in shallow water UWA channels with multipath extension and severe time-varying characteristics.
Self-Supervised Joint Learning for pCLE Image Denoising
Authors: Yang Kun , Zhang Haojie , Qiu Yufei , Zhai Tong , Zhang Zhiguo
Published: April 2024

Probe-based confocal laser endoscopy (pCLE) has emerged as a powerful tool for disease diagnosis, yet it faces challenges such as the formation of hexagonal patterns in images due to the inherent characteristics of fiber bundles. Recent advancements in deep learning offer promise in image denoising, but the acquisition of clean-noisy image pairs for training networks across all potential scenarios can be prohibitively costly. Few studies have explored training denoising networks on such pairs. Here, we propose an innovative self-supervised denoising method. Our approach integrates noise prediction networks, image quality assessment networks, and denoising networks in a collaborative, jointly trained manner. Compared to prior self-supervised denoising methods, our approach yields superior results on pCLE images and fluorescence microscopy images. In summary, our novel self-supervised denoising technique enhances image quality in pCLE diagnosis by leveraging the synergy of noise prediction, image quality assessment, and denoising networks, surpassing previous methods on both pCLE and fluorescence microscopy images.
Artery Pulse Waveform Acquired with a Fabry-Perot Interferometer
Authors: Calixto Sergio , Malacara-Hernandez Zacarias , Garnica Guillermo , Chavez-Serrano Ingrid
Published: April 2024

For most patients admitted to a hospital, it is a requirement to continuously monitor their vital signs. Among these are the waveforms from ECG and the pulmonary arterial pulse. At present, there are several electronic devices that can measure the arterial pulse waveform. However, they can be affected by electromagnetic wave radiation, and the fabrication of electronic sensors is complicated and contributes to the e-waste, among other problems. In this paper, we propose an optical method to measure arterial pulse based on a Fabry-Perot interferometer composed of two mirrors. A pulse sensor formed by an acrylic cell with a thin membrane is used to gather the vasodilatation of the wrist, forming an air pulse that is enacted by means of a tube to a metallic cell containing a mirror that is glued to a thin silicone membrane. When the air pulse arrives, a displacement of the mirror takes place and produces a shift of the interference pattern fringes given by the Fabry-Perot. A detector samples the fringe intensity. With this method, an arterial pulse waveform is obtained. We characterize this optical device as a test of concept, and its application to measuring artery pulse is presented. The optical device is compared to other electronic devices.
Calibrating Deep Learning Classifiers for Patient-Independent Electroencephalogram Seizure Forecasting
Authors: Shafiezadeh Sina , Duma Gian Marco , Mento Giovanni , Danieli Alberto , Antoniazzi Lisa , Del Popolo Cristaldi Fiorella , Bonanni Paolo , Testolin Alberto
Published: April 2024

The recent scientific literature abounds in proposals of seizure forecasting methods that exploit machine learning to automatically analyze electroencephalogram (EEG) signals. Deep learning algorithms seem to achieve a particularly remarkable performance, suggesting that the implementation of clinical devices for seizure prediction might be within reach. However, most of the research evaluated the robustness of automatic forecasting methods through randomized cross-validation techniques, while clinical applications require much more stringent validation based on patient-independent testing. In this study, we show that automatic seizure forecasting can be performed, to some extent, even on independent patients who have never been seen during the training phase, thanks to the implementation of a simple calibration pipeline that can fine-tune deep learning models, even on a single epileptic event recorded from a new patient. We evaluate our calibration procedure using two datasets containing EEG signals recorded from a large cohort of epileptic subjects, demonstrating that the forecast accuracy of deep learning methods can increase on average by more than 20%, and that performance improves systematically in all independent patients. We further show that our calibration procedure works best for deep learning models, but can also be successfully applied to machine learning algorithms based on engineered signal features. Although our method still requires at least one epileptic event per patient to calibrate the forecasting model, we conclude that focusing on realistic validation methods allows to more reliably compare different machine learning approaches for seizure prediction, enabling the implementation of robust and effective forecasting systems that can be used in daily healthcare practice.
Biosensor-Enhanced Organ-on-a-Chip Models for Investigating Glioblastoma Tumor Microenvironment Dynamics
Authors: Thenuwara Gayathree , Javed Bilal , Singh Baljit , Tian Furong
Published: April 2024

Glioblastoma, an aggressive primary brain tumor, poses a significant challenge owing to its dynamic and intricate tumor microenvironment. This review investigates the innovative integration of biosensor-enhanced organ-on-a-chip (OOC) models as a novel strategy for an in-depth exploration of glioblastoma tumor microenvironment dynamics. In recent years, the transformative approach of incorporating biosensors into OOC platforms has enabled real-time monitoring and analysis of cellular behaviors within a controlled microenvironment. Conventional in vitro and in vivo models exhibit inherent limitations in accurately replicating the complex nature of glioblastoma progression. This review addresses the existing research gap by pioneering the integration of biosensor-enhanced OOC models, providing a comprehensive platform for investigating glioblastoma tumor microenvironment dynamics. The applications of this combined approach in studying glioblastoma dynamics are critically scrutinized, emphasizing its potential to bridge the gap between simplistic models and the intricate in vivo conditions. Furthermore, the article discusses the implications of biosensor-enhanced OOC models in elucidating the dynamic features of the tumor microenvironment, encompassing cell migration, proliferation, and interactions. By furnishing real-time insights, these models significantly contribute to unraveling the complex biology of glioblastoma, thereby influencing the development of more accurate diagnostic and therapeutic strategies.
Antenna Booster Element for Multiband Operation
Authors: García Elena , Andújar Aurora , Anguera Jaume
Published: April 2024

The escalating demand for versatile wireless devices has fostered the need to reduce the antenna footprint to support the integration of multiple new functionalities. This poses a significant challenge for the Internet of things (IoT) antenna designers tasked with creating antennas capable of supporting multiband operation within physical constraints. This work aims to address this challenge by focusing on the optimization of an antenna booster element to achieve multiband performance, accomplished through the design of a band-reject filter. This proposal entails a printed circuit board (PCB) measuring 142 mm × 60 mm, with a clearance area of 12 mm × 40 mm, incorporating an antenna booster element of 30 mm × 3 mm × 1 mm (0.07 λ). This configuration covers frequencies in the LFR (low-frequency range) from 698 MHz to 960 MHz and the HFR (high-frequency range) from 1710 MHz to 2690 MHz. A theoretical analysis is conducted to optimize bandwidth in both frequency regions. Finally, a prototype validates the analytic results.
The Analysis of Present and Future Use of Non-Conventional Water Resources in Heilongjiang Province, China
Authors: Guo Hongcong , Sun Yingna , Li Tienan , Teng Yun , Dong He , Li Hui , Liu Gengwei
Published: April 2024

Analyzing the development trend of non-conventional water resources and identifying the main influencing factors is the initial step toward rapidly increasing the utilization and allocation of these resources in a rational and scientific manner. This will help relieve pressure on water resources and improve the ecological environment. This study introduces the concept of comparison testing and employs advanced Dematel and Random Forest models to identify two sets of optimal indicators from a pool of nine. Based on the two best indicator sets, three prediction models—BP neural network, Particle Swarm Optimization-optimized BP neural network, and Genetic neural network—were used to forecast the future potential of non-conventional water resource use in Heilongjiang Province. The findings reveal that economic indicators are the most significant factors influencing Heilongjiang Province’s utilization of non-conventional water resources. The findings of this study help us understand the extent of development in utilizing non-conventional water resources.
Resident Preferences for Urban Green Spaces in Response to Pandemic Public Health Emergency: A Case Study of Shanghai
Authors: Xiong Yonggeng , Xu Min , Zhao Yan
Published: April 2024

The COVID-19 pandemic represents a quintessential public health crisis, profoundly impacting the utilization patterns of urban green spaces through stringent quarantine and lockdown measures. However, existing research inadequately addresses specific concerns regarding future urban green spaces and tends to oversimplify population divisions. This study delves into the needs and preferences of Shanghai residents affected by the pandemic and quarantine measures, focusing on various aspects such as specific types of green spaces, facilities, landscape elements, and landscape and spatial types. Multifactorial population clustering was also performed. This study delineates the following conclusions: (1) It is imperative to afford residents access to green spaces at least once a week, even during quarantine periods. (2) Residents exhibited a preference for accessible green spaces equipped with essential amenities, favoring unobstructed vistas and plant-centric ecological landscapes during the pandemic. Additionally, there is a notable preference for private green spaces among residents. (3) Post-pandemic, the “affluent” group displays a heightened overall demand for green spaces, the “middle-class” group shows a conspicuous inclination towards specific green space landscape elements, while the “low-income” group consistently exhibits a low preference for green spaces during and after the pandemic. This study underscores the necessity of developing human-centric green spaces to promote equity and resilience in the face of future emergencies, rooted in residents’ preferences amidst public health crises.
A Study of the Spatiotemporal Evolution Patterns and Coupling Coordination between Ecosystem Service Values and Habitat Quality in Diverse Scenarios: The Case of Chengdu Metropolitan Area, China
Authors: Huang Gaoliu , Feng Shiming , Hu Chunguang
Published: April 2024

The global ecological decline resulting from urban development presents a significant challenge for numerous regions striving to reconcile conservation efforts with developmental needs. This study explores the relationship between ecosystem service value (ESV) and habitat quality (HQ) under various scenarios to elucidate prospective development trajectories. This study utilized the PLUS model to simulate land use patterns in the Chengdu metropolitan area across four distinct development scenarios. Furthermore, it employed the equivalent factor method and the Invest model to quantify ESV and HQ values, and investigated the coupling coordination between ESV and HQ for each city using a coupling coordination model (CCM). The findings are as follows: (1) Between 2000 and 2020, land use in the Chengdu metropolitan area primarily expanded through the development of construction land. (2) Concurrently, ESV demonstrated a fluctuating trend characterized by an initial decline succeeded by an upsurge, culminating under the Development–Ecological Balance Scenario. Likewise, HQ displayed a similar fluctuating pattern with an initial decline succeeded by an increase, reaching its zenith under the Ecological Dominance Scenario. (3) The coupling coordination between ESV and HQ exhibited variability across cities and scenarios. Ultimately, this study offers a distinctive perspective on evaluating the interplay between urban development and conservation, providing valuable insights for promoting sustainable development in other regions.
Distribution Pattern of Species Richness of Endemic Genera in Mountainous Areas of Southwest China and Its Influencing Factors
Authors: Chang Aoxiang , Wu Ting , Li Bowen , Jiao Dezhi , Wang Yushu , He Dan , Jiang Zihan , Fan Zhenyu
Published: April 2024

China’s southwest mountainous region is one of the hotspots of biodiversity in the world. However, the study on the pattern of species richness distribution of endemic plants in this region and its influencing factors is still in the exploration stage. A clear regional spatial distribution pattern of plants and its influencing factors are very important for the protection and management of plant diversity in southwest China. In this study, 511 county-level regions in the southwest mountainous region were taken as examples to establish a plant species resource bank in the southwest mountainous region, and the distribution pattern of the proportion and abundance of endemic plant families and genera was analyzed based on 19 climate and environmental factors and 8 human disturbance factors in the southwest mountainous region. The geographical weighted regression model (GWR) was used to reveal the main factors affecting the spatial distribution of species. The results showed that: (1) A total of 4688 species investigated in the southwest mountain belong to 19 families and 32 genera. (2) The endemic species richness in the southwest mountainous region showed a significant uneven spatial pattern, mainly concentrated in the Heng Duan Mountain area, southwest Sichuan and northern Yunnan area, and the Ruoergai-Hongyuan area of West Sichuan Plateau. (3) The results of the GWR model showed that the diurnal mean temperature range, precipitation seasonality and distance from the main road had significant effects on species richness. The study on the distribution of endemic genera and their influencing factors in the southwest mountainous region has important implications for the exploration of the evolutionary history and species conservation of the mountain flora.
Progress, Challenges and Opportunities of Electromobility in Mexico
Authors: Salgado-Conrado Lizbeth , Álvarez-Macías Carlos , Loera-Palomo Rodrigo , García-Contreras C. Pamela
Published: April 2024

This paper highlights the attempts made by the government to integrate electromobility in Mexico, despite not having a well-defined National Electric Mobility Strategy, and compares the advances, challenges and future opportunities of electromobility with other countries with similar conditions in terms of the public policy, the evolution of the electric vehicles market, the charging infrastructure, incentives and legal framework, and diffusion channels. The results showed that Mexico has made partial advances in the infrastructure, production and exportation of electric vehicles, consumer incentives and project implementation. However, the country requires strengthening strategies on the economic incentives for the user and industry, homologation of chargers, training of personnel specialised in electric vehicles, handling and destination of batteries, and defining its National Electric Mobility Strategy. As a way forward, our study suggests comparing the electromobility strategies of other countries and understanding the key aspects that might enable the successful introduction of electric vehicles.
Correction: Abed, M.; Mehryaar, E. A Machine Learning Approach to Predict Relative Residual Strengths of Recycled Aggregate Concrete after Exposure to High Temperatures. Sustainability 2024, 16, 1891
Authors: Abed Mohammed , Mehryaar Ehsan
Published: April 2024

The authors would like to make the following corrections regarding the published paper [...]
Towards Just Energy Transition: Renewable Energy Transition Dynamics and Sectorial Employment in Ghana
Authors: Oteng Clement , Iledare Omowumi , Peprah James Atta , Gamette Pius
Published: April 2024

Energy transition and the creation of sustainable jobs are major concerns towards achieving Sustainable Development Goals (SDGs) 7 and 13, particularly in emerging petroleum-producing economies such as Ghana. Our study examines Ghana’s sectorial employment vulnerability to the dynamics of energy transition. Employing a dynamic ARDL simulation model, we use quarterly data from 2011 to 2021 from Ghana’s Energy Commission, the Bank of Ghana, and the Public Interest and Accounting Committee. We find that transition scenarios increase industrial sector employment. Also, industrial sector employment changes more favorably under the 5% scenario than under the 1% scenario. Agriculture industry employment is positively impacted by the 1% energy transition scenarios but negatively impacted by the 5% scenarios. Up to the sixth year, both transition scenarios increase employment in the services sector; however, employment opportunities are more affected by the 1% scenario than by the 5% scenario. Therefore, developing a policy architecture that aids Ghana’s transition to renewable energy is essential.
A Theoretical Framework to Promote LCA in the Construction Industry of Saudi Arabia
Authors: Shaukat M. Mobeen , Luqman Muhammad , Asif Muhammad , Shuja S. Z. , Qannan Mohammed
Published: April 2024

The building and construction sector in the Kingdom of Saudi Arabia (KSA), experiencing rapid growth, is in the early stages of embracing sustainability measures. In the years ahead, the booming building sector in business-as-usual scenarios may pose serious energy and environmental challenges for the Kingdom. This situation will require the Saudi building sector to adopt robust sustainability measures. Embedding life cycle assessment (LCA) as a standard practice can be a useful strategy for improving the energy and environmental footprint of buildings. This paper proposes a theoretical framework within which to promote LCA in the Saudi Arabian construction industry. This framework comprises three pillars: policy, social, and technical. The framework covers the role of the Saudi building sector’s stakeholders such as policy makers, building industry professionals, representatives of relevant governmental bodies, and academics. Adaptation of this LCA framework can help substantially improve the energy and environmental performance of buildings. The proposed LCA framework is aligned with the international as well as the Saudi government’s drive for sustainability in the building sector.
Liaoning University ChopMelon Net Project: Innovative Research on Sustainable Education Based on Real Social Issues
Authors: Tian Xianghui , Liu Jia , Tang Yanlin
Published: April 2024

The purpose of this study is to evaluate how the ChopMelon Net online learning platform can contribute to the effectiveness of sustainable education by incorporating real social issues. The core innovation of ChopMelon Net is that it provides a learning environment that connects learners directly to real-world challenges and aims to enhance learners’ understanding of sustainable development theory. The study employed the technology acceptance model (TAM), theory of planned behavior (TPB), and knowledge–Behavior gap theory (KBGT) to design the questionnaires and semi-structured interviews in order to comprehensively assess the impact of ChopMelon Net on learners’ skill enhancement. The results showed that learners not only showed significant improvement in critical thinking and problem-solving skills after using ChopMelon Net, but also expressed a high level of satisfaction with the educational content and interactive experience provided by the platform. In addition, the study found that ChopMelon Net effectively promoted learners’ awareness of the importance of sustainable education and behavioral change through its innovative educational model, which provides important empirical support for future sustainable education practices and the design of online education platforms. This study highlights the importance and effectiveness of incorporating real social issues into the teaching and learning process, with far-reaching implications for sustainable innovation in education.
Digital Health Support: Current Status and Future Development for Enhancing Dialysis Patient Care and Empowering Patients
Authors: Canaud Bernard , Davenport Andrew , Leray-Moragues Hélène , Morena-Carrere Marion , Cristol Jean Paul , Kooman Jeroen , Kotanko Peter
Published: April 2024

Chronic kidney disease poses a growing global health concern, as an increasing number of patients progress to end-stage kidney disease requiring kidney replacement therapy, presenting various challenges including shortage of care givers and cost-related issues. In this narrative essay, we explore innovative strategies based on in-depth literature analysis that may help healthcare systems face these challenges, with a focus on digital health technologies (DHTs), to enhance removal and ensure better control of broader spectrum of uremic toxins, to optimize resources, improve care and outcomes, and empower patients. Therefore, alternative strategies, such as self-care dialysis, home-based dialysis with the support of teledialysis, need to be developed. Managing ESKD requires an improvement in patient management, emphasizing patient education, caregiver knowledge, and robust digital support systems. The solution involves leveraging DHTs to automate HD, implement automated algorithm-driven controlled HD, remotely monitor patients, provide health education, and enable caregivers with data-driven decision-making. These technologies, including artificial intelligence, aim to enhance care quality, reduce practice variations, and improve treatment outcomes whilst supporting personalized kidney replacement therapy. This narrative essay offers an update on currently available digital health technologies used in the management of HD patients and envisions future technologies that, through digital solutions, potentially empower patients and will more effectively support their HD treatments.
The Use of Boosted Regression Trees to Predict the Occurrence and Quantity of Staphylococcus aureus in Recreational Marine Waterways
Authors: Froeschke Bridgette F. , Roux-Osovitz Michelle , Baker Margaret L. , Hampson Ella G. , Nau Stella L. , Thomas Ashley
Published: April 2024

Microbial monitoring in marine recreational waterways often overlooks environmental variables associated with pathogen occurrence. This study employs a predictive boosted regression trees (BRT) model to predict Staphylococcus aureus abundance in the Tampa Bay estuary and identify related environmental variables associated with the microbial pathogen’s occurrence. We provide evidence that the BRT model’s adaptability and ability to capture complex interactions among predictors make it invaluable for research on microbial indicator research. Over 18 months, water samples from 7 recreational sites underwent microbial quantitation and S. aureus isolation, followed by genetic validation. BRT analysis of S. aureus occurrence and environmental variables revealed month, precipitation, salinity, site, temperature, and year as relevant predictors. In addition, the BRT model accurately predicted S. aureus occurrence, setting a precedent for pathogen–environment research. The approach described here is novel and informs proactive management strategies and community health initiatives in marine recreational waterways.
O carro no cinema: notas para o medo no território cinematográfico
Authors: Ribeiro Luís Henrique Marques
Published: April 2024

O que o carro pode expressar obre a relação entre território urbano, o cinema e o medo? Pensando nisso, o artigo analisa Aquarius (2016), a partir da perspectiva bakhtiniana dialógica do discurso, que parece viabilizar a compreensão do cinema enquanto arena ideológica, atravessada por várias vozes em modos de interação muito complexos. Partimos da hipótese de que as imagens em movimento do carro são enunciados discursivos que se adicionam à influência da estética de terror/horror do cinema de gênero no filme de Kleber Mendonça Filho. Observamos o deslocamento de estereotipias de classe e raça mobilizadas pelo medo como afeto estruturante na exclusão daquilo que está fora dos muros. Sobre isso, encontramos correspondência no que Dunker (2015) intitula como “lógica de condomínio”. Por essas vias pensamos e elaboramos um esboço do que seria uma análise territorial fílmica brasileira, contribuindo para a criação do estilo do diretor. Para isso, pensamos o território como conceito de dimensão política, atravessado por conflitos históricos de classe, raça ou gênero e que está expresso no discurso das imagens, entendidas enquanto texto.
Os circuitos da midiatização da saúde: sentidos emergentes sobre Síndrome de Turner
Authors: Falchi Maria do Carmo
Published: April 2024

Na ambiência da midiatização, as informações sobre saúde não estão restritas aos meios de comunicação tradicionais ou aos médicos. Há uma maior preocupação dos indivíduos em produzir e disseminar saberes sobre doenças que muitas vezes passam despercebidas pelos profissionais da área da saúde, ou seja, os pacientes ganham mais autonomia. Por meio de referenciais teóricos sobre midiatização e plataformas digitais, e através de posts e comentários da página do Facebook da organização TSGA, o artigo visa responder ao questionamento: de que forma pacientes com Síndrome de Turner (ST) e seus familiares produzem sentidos nos posts da página do Facebook da TSGA? Identificamos que as estratégias comunicacionais da organização não atingem seus objetivos sozinhas. É por meio da circulação exacerbada executada pelos seguidores que a TSGA se torna uma ONG reconhecida e a síndrome ganha contornos reais. Assim, compreendemos que a midiatização da saúde vai além do contribuir com o compartilhamento e a disseminação de informações que antes estavam nas mãos dos médicos, ela é fundamental para uma inserção social dos pacientes, para a construção de uma rede de contato e para a tornar a ST algo real, que vai além do que é dito nos livros e pelos profissionais da saúde.
“NÃO RECOMENDADOS À SOCIEDADE”: educação emocional e experiências LGBTQIA+ na escola
Authors: Carvalho Douglas Lucas Veloso de , Ferreira Aurino Lima , Santana José Diêgo Leite
Published: April 2024

O objetivo desta pesquisa é problematizar a educação emocional em relação às experiências de escolarização de pessoas LGBTQIA+, incluindo os processos de violência na escola. Trata-se de uma pesquisa qualitativa do tipo narrativa, na qual foram coletadas as histórias de cinco pessoas que foram marcadas como corpos dissidentes pelas pedagogias aplicadas a elas durante suas trajetórias escolares. Identificamos três macrocategorias que sintetizam as formas de pedagogias exercidas sobre os participantes no espaço escolar, com o intuito de disciplinar suas emoções desviantes: a pedagogia do silêncio, a pedagogia do medo e a pedagogia da violência. Apontamos que aqueles/as que não se adequavam à cis-heteronormatividade tiveram seus corpos estigmatizados de forma negativa, criando assim uma maneira peculiar de se constituir como LGBTQIA+ nos espaços pedagógicos. Além disso, discutimos como a educação emocional pode ser uma ferramenta para promover a diversidade, a inclusão e o respeito às diferenças no contexto educacional.
PEDAGOGIA DA ALTERNÂNCIA E FORMAÇÃO DOCENTE DO CAMPO NO ESPIRITO SANTO
Authors: Gerke Janinha
Published: April 2024

Este escrito apresenta os principais marcos constitutivos da especificidade formativa docente do campo no Espírito Santo. Assume como perspectiva metodológica o estudo bibliográfico e toma como referência discussões e dados acumulados por pesquisadores capixabas, visibilizando itinerários, desafios e ações em curso. A centralidade da discussão está na relevância do fazer formativo que se enreda em meio à diversidade que é o campo do Espírito Santo, a partir de sua ocupação territorial e étnico-cultural. A perspectiva teórico-metodológica dos processos formativos em questão é a Pedagogia da Alternância, pautando os princípios e objetivos de uma formação que integra pressupostos políticos e pedagógicos na formação dos docentes campesinos. A defesa pela especificidade formativa de professores-educadores-monitores do campo é erguida em contraposição a uma perspectiva generalista e adaptacionista da formação, bem como pela necessidade de compreender as singularidades da Pedagogia da Alternância e da Educação do Campo em suas dimensões teóricas e metodológicas. Por fim, este texto cita conquistas e desafios desse processo, desde o trabalho junto aos movimentos sociais e as proposições reunidas na 1ª Conferência Nacional da Pedagogia da Alternância, realizada em Salvador, no ano de 2019.
A EDUCAÇÃO EM DISPUTA: gênero, cruzadas e formas de resistência
Authors: Finco Daniela , Barreiros Douglas Paulino , Abbatecola Emanuela
Published: April 2024

Apresentação de Seção temática.
The COVID-19 Pandemic: A Catalyst for Increased Consumption in Television and Social Media Usage in Romania
Authors: Momoc Antonio
Published: April 2024

The general perception is that the COVID-19 pandemic led to significant shifts in social media usage patterns, resulting in increased Internet traffic for communication purposes. This study analyses the use of social media and television by the Romanian population before (in 2018), during (in 2020), and after (in 2023) the COVID-19 lockdown. The results indicate that during and after the lockdown, the most frequently used social networking sites and mobile apps in Romania were Facebook and WhatsApp. TikTok experienced a significant increase in user registrations, surpassing Instagram. Despite the presumption that TV lost market share compared to the Internet, television not only remained the most utilised medium, but TV consumption increased during and after the pandemic. The data was collected by the media agency Dentsu Romania, combining information obtained from BRAT (Biroul Român de Audit Transmedia) and Dentsu Romania, based on a collection methodology involving online and face-to-face interviews, on a representative sample of the Romanian population. BRAT and Dentsu Romania media consumption data was cross-referenced with information on consumption behaviour monitored through people meters by ARMA (Asociația Română pentru Măsurarea Audiențelor).
PELAKSANAAN TANGGUNG JAWAB ORANG TUA KATOLIK MENDIDIK IMAN ANAK DI MASA PANDEMI
Authors: Wijayanti Tunas , Wijaya Albert I Ketut Deni
Published: April 2024

This research explored the implementation of parental responsibilities in children's faith education during the coronavirus pandemic. Faith education for children is the first and foremost responsibility of parents. However, during the Corona Virus disease pandemic, there was a challenge: restrictions on church activities. It was the responsibility of parents to educate their children's faith. This research method used descriptive qualitative data analysis, while the data collection used structured interviews. Narrative writing is the way to present the research findings. The results showed the implementation of faith education for children during the coronavirus pandemic by teaching daily prayers, attending the online Eucharist, and faith education. In this implementation, there were some challenges: parents must be patient, and children's addiction to mobile phones. Parents continue to strive to teach daily prayer, follow the Eucharist online, and give faith education. From implementing faith education for children during the coronavirus pandemic, parents are responsible for accompanying and educating their children's faith according to their conditions.
SPIRITUALITAS DIAKONIA GURU PENDIDIKAN AGAMA KATOLIK DALAM HIDUP MENGGEREJA DI PAROKI SANTA LUSIA PARLILITAN
Authors: Tarigan Thomas Natalisa , Tibo Paulinus , Hasugian Sixgloria
Published: April 2024

Diaconal spirituality is the spirit of service in the church to carry out its mission. A Catholic religious education teacher must realize that he is called to carry out a mission of service that demands total sacrifice. Catholic religious education teachers are required to live up to the spirit of service by voluntarily providing knowledge, experience, skills, time, energy, thoughts and even all of themselves. Therefore, Catholic religious education teachers must be oriented towards fulfilling the needs of the people who concretely must show a distinctive spirituality with selfless self-sacrifice so that it is truly imbued with the spirituality of diaconal or service which is its specialty. This research was conducted to see how the diaconal spirituality of Catholic religious teachers at Santa Lucia Parlilitan Parish with the number of informants consisting of 7 people: catholic religious education teacher, head of the station council and parish priest. This study used qualitative research methods. Data collection techniques used in this study using observation techniques, interviews and documentation. This research was conducted from February to May 2023. The results showed that Catholic religion teachers had a diaconal spirituality by living up to ten virtues, namely: preparedness, totality, personal behavior, hard work and quality, sense of belonging, serving humbly, hope, fighting for truth, being grateful and hopeful which were applied to the five pillars of the church's duties, namely: liturgy, diaconal kerigma, martyria and koinonia.
PERANCANGAN UI/UX APLIKASI PEMESANAN PETCARE BERBASIS ANDROID MENGGUNAKAN FIGMA DI JOMBANG
Authors: Fita Dwi Novitasari  , Muhammad Arief Rizza
Published: April 2024

Pet care is a place where services are provided that services that support the daily routine care needs of pets ranging fromfrom health services to animal needs. Some of the services that
are commonly provided at Pet care centers are Pet Shops, Grooming, Pet Hotel, and Veterinary Clinics, but in the maintenance, the owner also needs time to do it properly and as a society, the owner sometimes can't have a lot of free time to do it.
With these problems, the author designs UI / UX Petcare service booking application which can help animal owners can still be productive but can also maintain the care of their beloved pets.
This application was created with the aim that users can be facilitated in carrying out animal care by minimizing the effectiveness of time and distance. By using the Figma application platform the design of the User Interface and User experience of this application will produce a superior and user-friendly design.
Petcare adalah tempat dimana disediakan nya layanan yang mendukung untuk kebutuhan perawatan rutin keseharian hewan peliharaan mulai dari layanan kesehatan hingga keperluan kebutuhan hewan. Beberapa layanan yang umum disediakan pada Petcare center adalah Pet Shop, Gromming, Penitipan hewan dan Klinik hewan, namun dalam perawatan nya pemilik juga perlu waktu luang untuk dapat melakukan nya dengan benar dan sebagai masyarakat pemilik tekadang tidak dapat memiliki banyak waktu luang untuk melakukan nya.
Dengan adanya permasalahan tersebut, penulis merancang UI/UX aplikasi pemesanan layanan Petcare yang dimana dapat membantu pemilik hewan tetap dapat berativitas produktif namun juga dapat menjaga perawatan hewan kesayangan nya.
Aplikasi ini dibuat dengan tujuan pengguna dapat dipermudah dalam melakukan perawatan hewan dengan meminimalisir efektivitas waktu dan jarak tempuh. Dengan menggunakan platform aplikasi Figma rancangan User Interface dan User experience aplikasi ini akan menghasilkan design yang unggul dan ramah bagi pengguna nya.
PENGARUH ORIENTASI DISKONTINUITAS BATUAN TERHADAP STABILITAS LERENG DI RUAS JALAN UTARA GUA SUROCOLO BANTUL
Authors: Rakhman Arie Noor
Published: April 2024

Struktur geologi mempengaruhi stabilitas lereng batuan, terutama di daerah Bantul sekitar Kali Opak sejak gempa tektonik tahun 2006. Penelitian ini dilakukan dengan tujuan untuk mengevaluasi pengaruh orientasi diskontinuitas batuan terhadap stabilitas lereng batuan sebagai bagian dari mitigasi bencana longsor. Lokasi penelitian dilakukan pada tujuh lereng batuan di tepi ruas jalan akses utara Goa Surocolo, Kabupaten Bantul. Penilaian stabilitas lereng dengan menggunakan Rock Mass Rating (RMR) versi 1979 dengan rentang antara 43 hingga 72 menunjukkan lereng batuan cenderung stabil. Setelah RMR 1989 diterapkan dengan penambahan parameter orientasi diskontinuitas terdapat penurunan nilai menjadi 25 hingga 72. Penurunan nilai ini didukung dengan hasil analisis kinematika yang mengindikasikan potensi longsoran baji yang berasal dari perpotongan dua set kekar dengan arah N292°E - N322°E, sejajar dengan kemiringan lereng N300°E - N318°E. Hasil pengujian statistik dari uji t menunjukkan bahwa nilai p yang dihasilkan (0,136) lebih besar dari tingkat signifikansi (0,05). Hal ini mengindikasikan bahwa penambahan parameter orientasi kekar pada RMR tidak memiliki pengaruh signifikan terhadap perbedaan kedua nilai RMR tersebut. Nilai RMR versi 1989 yang terendah dapat dipergunakan untuk mengidentifikasikan lereng mana yang membutuhkan prioritas dalam penanganan dan pemantauan lebih lanjut di antara lereng yang diteliti di lokasi penelitian.
Permanent Employee Assessment Decision Support System using the Simple Multi Attribute Rating Technique (SMART) Method
Authors: Pratama Ryan A , Hardianto Romi
Published: April 2024

Every agency or organization must be able to select and determine competent employees to fill vacant positions so that the main duties of that position can be carried out. To obtain information quickly and accurately about the assessment of permanent employees in accordance with the expected criteria, a decision support system is needed. Objective decisions are usually fair because they are in accordance with the facts and supported by data to produce a decision/recommendation that can make things easier for agency or organization leaders. By using the Simple Multi Attribute Rating Technique (SMART) method, it is hoped that it can help in making decisions about evaluating permanent employees. The SMART method uses a multiattribute decision technique which is used to support decision makers in choosing between several alternatives.  This research aims to assist the leadership of the West Sumatra Ministry of Religion in making decisions regarding permanent employee recommendations for employees. The method used in this research is qualitative. Based on the test results, a weighting system is produced that takes into account the assessment factors that exist in employees. The results of the assessments that have been carried out will immediately produce data on employees who have competencies worthy of being promoted to a better career level. In the research, 6 criteria were used, namely cooperation , work ability, work discipline, loyalty, responsibility and communication. With 5 alternative data, calculations were carried out using the SMART method, the result that got the highest score was Endang Mesfitra with a final result of 0.7425. With the research results, the application can help leaders in providing assessments and the results of these assessments produce objective decisions so that leaders can recommend employees according to the criteria
AMPLIACION DE LA ADAPTABILIDAD DEL SORGO. II. LA INTERACCION GENETICO AMBIENTAL DE GENOTIPOS DE SORGO (Sorghum bicolor (L) Moench) TOLERANTES AL FRIO
Authors: Carballo Carballo Aquiles , Livera Muñoz Manuel
Published: April 2024

Se evaluó la adaptabilidad de genotipos de sorgo tolerantes al frío en una amplia gama de ambientes. Se encontró que los parámetros de estabilidad que caracterizan a un genotipo determinado cambian con el número de genotipos involucrados enla prueba y al cambiar los ambientes. Sin embargo, los resultados demuestran que el carácter tolerancia al frío ha permitido ampliar las áreas de adaptación del cultivo de sorgo en México. Los resultados validan la proposición de dos variedadesde sorgo para pruebas semicomerciales en localidades con una altitud entre 1800 y 2350 m.
ARREGLOS TOPOLOGICOS DE FRIJOL CON MAIZ EN EL CENTRO DE CHIAPAS
Authors: Núñez González Samuel , Carrizales Mejía Norberto
Published: April 2024

En el Estado de Chiapas, México, las siembras de temporal de maíz y de frijol se hacen empleando diferentes arreglos topológicos o sistemas de cultivo. Con objeto de determinar cuál genera rendimientos físicos más altos, mayor ingreso bruto por hectárea y una mayor eficiencia en el uso de la tierra (ERT), se evaluaron los siguientes tratamientos: a) un surco de la asociación maíz-frijol, intercalado en 1, 2 ó 3 surcos de frijol solo, b) dos surcos de la asociación intercalados de igual manera en surcos de frijol solo, y c) maíz y frijol solos; sembrando simultáneamente ambas especies Q sembrando el maíz 15 días después del frijol. Los experimentosse establecieron en dos localidades: Villaflores (V) y Venustiano Carranza (VC), en Chiapas. Los principales resultados fueron: a) Sembrar el maíz 15 días despúes del frijol no afectó el rendimiento del frijol ni el del maíz en la localidad V, mientras que en VC mermó el rendimiento del maíz y aumentó el del frijol; b) En unicultivo, el maíz produjo mayor rendimiento que en asociación; c)En algunos tratamientos, el rendimiento del frijol igualó al de su unicultivo; y d) En ambas localidades, la ERT fue mayor de 1 .O para todos los arreglos topológicos estudiados.
POLINIZACION Y FASE PROGAMICA EN NOPAL Opuntia ficus-indica (L) Miller) TUNERO
Authors: Rosas Ceja Pilar , Pimienta Barrios Eulogio
Published: April 2024

En este estudio se describen los mecanismos de polinización y la fase progámica en dos formas de nopal (Opuntia ficus-indica (L) Miller) tunero. Las flores presentan características de flores efímeras; abren y cierran el mismo día. Las observaciones de la presencia de granos de polen revelaron que los estigmas de las flores son cubiertos por una combinación de granos de polen derivados de la autopol inización y de la polinización cruzada. En una de las formas evaluadas (fafayuco) se registró dehiscencia de las anteras antes de la apertura de la flor (cleistogamia preantesis). La germinación de granos de polen y el crecimiento de tubos polínicos es relativamente rápida, registrándose tubos polínicos en la base del estilo 24 horas después de la apertura de la flor. El estilo es hueco y los tubos polínicos se desarrollan en la superficie de la epidermis glandular del canal estilar. Un número alto de tubos polínicos empieza su crecimiento en la porción superior del estilo, en comparación con los que empiezan en la base del estilo.La fecundación de los óvulos es gradual y empieza dos días después de la polinización y se prolonga por ocho días más. El promedio de óvulos fecundados es alto y fluctúa entre 70 y 80%. Las observaciones de la presencia de granos de polen adheridos al estigma y de la fecundación de óvulos, sugieren que las semillas producidas en los frutos del nopal tunero son el resultado de la autofecundación y fecundación cruzada.
DENSIDAD ESTOMATAL DEL DURAZNERO Y NECTARINO DE RIEGO Y DEL DURAZNERO DE TEMPORAL
Authors: Pérez Barraza Hilda , Chan Castañeda José Luis
Published: April 2024

La densidad estomatal de las hojas es una medida importante en el análisis de las relaciones agua-planta. El objetivo de esta investigación fue determinar la densidad estomatal en hojas de 14 cultivares de duraznero y 10 cultivares de nectarino bajo condiciones de riego y de 118 selecciones de duraznero bajo condiciones de temporal. El método utilizado para determinar la densidad fue el de impresiones, en las que se hizo el recuento al microscopio. Se encontraron estomas únicamente en el envés de las hojas con una variación de 131 a 163 estomas/mm2 , indicando  posibilidad de seleccionar genotipos por su densidad estomatal. No se observó correlación entre el tamaño de la hoja y el número de estomas.