bluuebunny/crossref_metadata_2025 huggingface dataset:
A Comparative Analysis of Antenna Designs for 5G Wireless Communications
Authors: Krishan Ram
Published: January 2024

There has been unprecedented advancement and rapid technological changes in the field of wireless communications with the emergence of applications like 5G, the internet of things, wireless sensing, satellite communication, body area network, and automation in different fields. The requirements of mobile customers that can be met with the aid of 5G technology must be met by the service providers. High power, a wide band of spectrum availability, minimal latency, and very high bandwidth are all features of 5G technology. 5G provides a high-frequency band with a large amount of bandwidth. The fractal antennas give multiband and wideband characteristics that are applicable to different applications of wireless communication. The research of suitable antenna designs for 5G mobile communication technologies is the focus of this chapter. This chapter reviews the performance comparison of various antenna design characteristics for the 5G application.
AI-Based Education for Sustainability and the Promotion of Lifestyle and Healthy Diet
Authors: Fattouch Sami , Ben Slama Fethi , Jamoussi Henda , Bontempo Luana
Published: January 2024

The literature is prolific in studies about the artificial intelligence (AI) applications, particularly to support formal education and develop adaptive lifelong learning environments by means of an array of flexible, inclusive, and interactive tools. AI-based education is assumed to be determinant for the achievement of the Sustainable Development Goals (SDGs), targeted for 2030, and supported by all 193 member states of the United Nations. This intelligent technology is expected to play a key role to raising awareness about the management of food discards and byproducts for a circular economy, thus optimizing the resources' efficiency and slowing down their economic, social, and environmental impacts. This chapter provides an overview of the AI applications and challenges to promote sustainable food habits and to monitor and manage local food byproducts suitable for human consumption to develop nutritional and healthy added-value outcomes.
Micro Electro-Mechanical Systems (MEMS) and Its Subset Devices in the Field of Biotechnology and Medical Sciences
Authors: Sailaja Allika , Manisha Bachchhav
Published: January 2024

A lab-on-a-chip is a miniature device which incorporates one or more laboratory-based studies, like DNA sequencing or detection of bio-chemicals present in a sample, onto a single chip. Numerous applications of lab-on-a-chip are the subject of research, such as DNA analysis, human diagnostics, and chemical synthesis. There are many benefits to miniaturising biochemical procedures that are typically carried out in a lab, including cost-effectiveness, parallel analysis, ergonomics, speed of diagnosis, and sensitivity. Microfluidics and molecular biology are the two key technologies underpinning the lab-on-a-chip industry's development. On a single chip that fits in your hand, microfluidic methods employed in lab-on-a-chip devices enable the production of millions of microchannels, each measuring only a few micrometres. The micro channels allow for controlling biological reactions in very small volumes and managing fluids in amounts as low as a few pico-litters.
Review of Power Electronics in Renewable Energy Solutions for Application Sectors
Authors: Felshiya Rajakumari R. , Ramkumar Siva
Published: January 2024

The crucial intention for organizing renewable energy in India is to precede the financial growth to recover power protection, perk up to admittance the power, and alleviate the weather modification. Government strongly supports and increases the opportunities on profitable condition and pushed India to be one of the summit privileged in the world's most eye-catching renewable energy markets. This work mainly concerns the wind and photovoltaic systems (PV) as they are the most capable for renewable energy sources for the production of electricity. The main aspiration of this work is to exemplify and draw attention to the role of power electronics (PE) in the investigation and expansion of renewable power scheme. This work mentions the most budding renewable liveliness sources such as wind energy and photovoltaic system with the power electronics sources in the power generation area in the prominent effective way.
Synergies of Smart Transportation
Authors: Hota Lopamudra , Dash Prasant K.
Published: January 2024

Smart transportation, shared mobility, and future mobility are all terms that are used to describe the evolution of transportation in the 21st century. Smart transportation uses technology to improve the efficiency, safety, and sustainability of transportation. Shared mobility refers to transportation models where people share vehicles or modes of transportation. Future mobility is the way we will move around in the future, and it is likely to be characterized by a number of trends, including increased use of shared mobility, the rise of autonomous vehicles, and a focus on sustainability. These trends are all leading towards a future where transportation is more efficient, safer, and environmentally friendly. This chapter discusses the trending technologies for smart transportation, shared mobility, and future mobility along with the applications, use-cases, and challenges faced while incorporating them in intelligent transportation systems (ITS) in urban environments.
“Sugaring Out”
Authors: Bachchhav Manisha Bhanudas , Allika Sailaja
Published: January 2024

“Sugaring out” is a phase partition method used for protein separation, which involves the addition of high concentrations of water-soluble polymers or sugar to induce protein precipitation. This method takes advantage of the protein's solubility changes in the presence of additives. The principle behind sugaring out is that the high concentration of additives increases the solution's overall osmolality, causing a decrease in the effective solubility of proteins. As a result, proteins aggregate and precipitate out of the solution, forming a separate phase that can be easily separated from the remaining components. Sugaring out has been explored for various applications, particularly in the extraction of high-value biomolecules such as proteins and antibiotics, biomolecule recovery from complex mixtures, and fractionation of protein mixtures.
Enabling Smart Farming Through Edge Artificial Intelligence (AI)
Authors: Avanija J. , Rajyalakshmi C. , Madhavi K. Reddy , Rao B. Narendra Kumar
Published: January 2024

This chapter explores the integration of edge AI in smart farming using technologies like edge computing and artificial intelligence algorithms. Process of deploying AI algorithms onto the edge devices such as sensors and IoT components to perform real-time data analysis and intelligent decision-making will be discussed in the chapter. The fundamentals of edge AI, its role and applications in smart farming including crop monitoring, livestock management, disease detection intelligent irrigation and decision-making will be focussed. The chapter also discusses the importance of implementing AI algorithms in edge considering hardware, software, network and optimization of AI algorithms. The chapter also discusses how Edge AI can help farmers by bringing intelligence directly to the field, reducing reliance on cloud computing, and improving data privacy and security. The chapter also discusses the challenges and considerations of deploying Edge AI systems in agricultural settings, such as resource constraints, connectivity issues, and algorithm optimisation.
Applications of Sensors in Precision Agriculture for a Sustainable Future
Authors: Saleem Muhammad Fawaz , Raza Ali , Sabir Rehan Mehmood , Safdar Muhammad , Faheem Muhammad , Al Ansari Mohammed Saleh
Published: January 2024

The advent of precision agriculture has revolutionized the agricultural sector, emphasizing the utilization of data-driven strategies for decision-making and the optimization of resources. Sensors, encompassing soil, crop, weather, and drone sensors, offer real-time data to facilitate informed decision-making and enhance agricultural outcomes. These sensors facilitate the optimization of irrigation and fertilization and the timely identification of soil-related problems. In addition, they contribute to the surveillance of plant health, the detection of weed infestations, and the monitoring of meteorological conditions. The gathering and management of data play a crucial role in precision agriculture. The advantages encompass decreased utilization of resources, heightened agricultural productivity, a diminished ecological footprint, and better economic viability. Nevertheless, persistent obstacles like technological problems, concerns around data security, and the imperative for advancements in artificial intelligence and machine learning persist.
Artificial Intelligence (AI)-Integrated Biosensors and Bioelectronics for Agriculture
Authors: Vashishth Tarun Kumar , Sharma Vikas , Kumar Bhupendra
Published: January 2024

The fusion of artificial intelligence (AI) with biosensors and bioelectronics has ushered in a new era in agriculture. This multidisciplinary synergy leverages advanced technologies to address the evolving demands of the agricultural sector. AI-integrated biosensors and bioelectronics offer real-time, data-driven solutions to improve crop health, optimize resource management, and enhance yield predictions. These innovations bridge the gap between traditional agricultural practices and the digital age. This chapter explores the myriad applications and implications of AI in biosensors and bioelectronics within the agricultural landscape. It delves into the development and deployment of biosensors that can monitor plant health, detect diseases, and assess environmental conditions. These devices, enhanced by AI, provide precise, actionable data for decision-making. The integration of bioelectronics facilitates communication between sensors, machinery, and other farming systems, creating a holistic approach to smart agriculture.
Integration of Machine Learning Augmented With Biosensors for Enhanced Water Quality Monitoring
Authors: Pokkuluri Kiran Sree , Usha Devi N.  , Khang Alex
Published: January 2024

Monitoring water quality is essential to guaranteeing the sustainability and safety of water supplies. Conventional techniques for evaluating the quality of water might be laborious and may not be able to provide results instantly. The suggested system makes use of a wide range of biosensors to assess important aspects of water quality, including microbial activity, pH, dissolved oxygen, and chemical pollutants. Following collection, the data are analysed using recurrent neural networks (RNNs). An RNN is trained to identify patterns, correlate information from several sensors, and forecast trends in water quality. Early detection of problems with water quality, prompt reaction to possible contaminants, and flexibility in response to changing environmental conditions are some benefits of this integrated approach. The system biosensors for enhanced water quality monitoring (BEWQM) are a useful tool for long-term water quality monitoring and management because of its learning characteristics, which allow it to continuously improve its accuracy and performance over time.
Pathogen Detection in Dragonfruit With Transfer Learning and Fine-Tuned Keras Models
Authors: Asha Rani K. P. , Gowrishankar S.
Published: January 2024

Dragonfruit, also known as pitaya, is a tropical fruit vulnerable to various diseases that can significantly impact its growth and yield. Timely and accurate disease detection and classification are crucial for effective management of dragonfruit cultivation. Transfer learning, a powerful machine learning technique, has shown promise in plant disease classification by leveraging pre-trained models. Keras, a popular deep learning library, offers pre-trained models suitable for image classification tasks. This research aims to develop a robust classification model for accurately identifying and distinguishing diseases by considering self-created dragonfruit plant dataset. By fine-tuning pre-trained Keras models, specifically adapted for dragonfruit disease classification, transfer learning is employed to achieve high accuracy in disease identification. The study contributes to agricultural disease detection by empowering farmers and researchers with a valuable tool for disease monitoring and management.
Cultivating Efficiency-Harnessing Artificial Intelligence (AI) for Sustainable Agriculture Supply Chains
Authors: Gupta Chabi , Khang Alex
Published: January 2024

This chapter intends to investigate and present the possibility of utilizing artificial intelligence to transform the agricultural supply chain. The primary objective is to enhance efficiency, sustainability, and adaptability in response to a shifting climate and expanding global population. The results of this investigation provide significant and valuable knowledge for both new businesses and well-established corporations who have a vested interest in embarking on an intelligent and sustainable digital revolution within the agricultural sector and food supply chains. These findings present insights that can guide these enterprises in their pursuit of transforming their operations using technology to enhance efficiency, productivity, and sustainability. By harnessing the benefits offered by digitization, organizations operating within the agriculture industry will be able to streamline processes, optimize resource allocation, reduce waste, and improve traceability throughout the supply chain network while ultimately securing long-term success.
Hyperspectral Image Classification Using Batch-Based Graph Attentional Networks in Agriculture
Authors: Kolikipogu Ramakrishna , Dhar Murali , Rao N. Raghava , M. S. Nidhya
Published: January 2024

The classification of hyperspectral images plays a critical role in the maintenance of remote image analysis, which has attracted a lot of research interest. Despite the fact that numerous methodologies, including unsupervised and supervised methods, have been presented, achieving an acceptable classification result remains a challenging task. Deep learning-based hyperspectral image (HSI) classification is gaining popularity, because of its efficient classification capabilities. When compared to traditional convolutional neural networks, graph-based deep learning provides the benefits of exhibiting class boundaries and modelling feature relationships. In hyperspectral image (HSI) classification, the most important problem is how to transform hyperspectral data into irregular domains from regular grids. This study describes a method for image classification that employs graph neural network (GNN) models. The input images are converted into region adjacency graphs (RAGs), where regions are super pixels and edges link nearby super pixels.
Aplicação de diferentes experiências gamificadas para inovar as aulas de bioquímica no ensino superior
Authors: Arrieira Rodrigo Leite , Adamowski Eleniza de Victor , Pacheco Rosiley Bertoni , Lopes Denise Alves , Rigobello Camila , Diegues Maria Elena Martins
Published: January 2024

O ensino de Bioquímica possui diversos desafios nos anos iniciais do ensino superior, devido sua complexidade e abstração na compreensão de estruturas e fenômenos moleculares, que podem ser obstáculos ao aprendizado do aluno. Pelo método tradicional, em uma sociedade digital e conectada, o aprendizado pode ser ainda mais dificultado, uma vez que apresenta características de transmissão de conteúdo e memorização, que limitam a assimilação e compreensão dos processos químicos e biológicos complexos. Nesse sentido, a metodologia ativa, por meio da gamificação, ganha cada vez mais espaço. O objetivo deste capítulo é demonstrar como diferentes experiências gamificadas podem ser utilizadas para inovar as aulas de Bioquímica. Como resultado, verifica-se que as aulas podem ser incrementadas utilizando-se alguns recursos da gamificação para estimular a realização de atividades, como pontuação e recompensas, como por meio da elaboração de jogos aplicados ao conteúdo. Dentre eles, destaca-se os jogos de tabuleiro, quebra-cabeça e modelos didáticos, que simulam esquemas e propõem desafios do objetivo de aprendizagem. Tem-se, ainda, uso de recursos tecnológicos, como aplicativos e jogos digitais, que tornam o aprendizado mais interativo e conectado entre os alunos. Nesse sentido, é possível observar que a gamificação pode ser utilizada com sucesso no ensino de Bioquímica, inovando o aprendizado em sala de aula, de forma mais interativa e divertida.
Barriers for Women Entrepreneurship Operating in the SME Sector Sri Lanka
Authors: Nimeshi G. K. S. , Rodrigo M.
Published: January 2024

The purpose of this study is to explore the barriers to women entrepreneurship operating in the Sri Lankan Small and Medium-Scale Enterprise sector (SME). This study followed a qualitative approach primarily based on narratives. Eight female entrepreneurs were approached and interviewed. The sample was identified using purposeful sampling designs, and the data collection techniques were appropriately adopted to attain the study's goals. Thematic analysis was used to analyze and interpret the data collected from the interviewees. According to the data analysis, the research findings underscore the need for women entrepreneurs to be empowered and supported in their success by recognizing major constraints. The study contributes to the literature by combining the themes found in the study and provides a new contribution to the literature on women entrepreneurship. It enriches and presents new aspects to outline female entrepreneurs in the Sri Lankan SME sector.
Leptin Receptor Deficiency Impairs Lymph Node Development and Adaptive Immune Response
Authors: Cardani-Boulton Amber , Sung Sun-Sang J , Petri William A , Hahn Young S , Braciale Thomas J
Published: January 2024

Activation and clonal expansion of the Ag-specific adaptive immune response in the draining lymph node is essential to clearing influenza A virus infections. Activation sufficient for virus clearance is dependent on the lymph node’s architectural organization that is maintained by stromal cells, chiefly fibroblastic reticular cells. During an analysis of influenza A virus clearance in leptin receptor knockout (DB/DB) mice, we observed that the DB/DB mice have markedly reduced numbers of lymph node fibroblastic reticular cells at the steady state. The reduction in lymph node fibroblastic reticular cells resulted in abnormal lymph node organization and diminished numbers of adaptive immune cells in the lymph nodes under homeostatic conditions. As a consequence, the DB/DB mice were impaired in their ability to generate an effective influenza-specific adaptive immune response, which prevented virus clearance. Using leptin receptor mutant mice with point mutations at distinct signaling sites in the leptin receptor, we were able to link the leptin receptor’s signaling domain tyrosine 985, which does not contribute to obesity, to lymph node fibroblastic reticular cell development and function. These results demonstrate a novel role for leptin receptor signaling in regulating lymph node development in a manner that is crucial to the generation of Ag-specific adaptive immune responses.
Cutting Edge: Cytosolic Receptor AIM2 Is Induced by Peroxisome Proliferator-activated Receptor γ following Mycobacterium tuberculosis Infection of Human Macrophages but Does Not Contribute to IL-1β Release
Authors: Arnett Eusondia , Wolff Jade , Leopold Wager Chrissy M , Simper Jan , Badrak Jeanine L , Ontiveros Carlos O , Ni Bin , Schlesinger Larry S
Published: January 2024

AIM2 (absent in melanoma 2), an inflammasome component, mediates IL-1β release in murine macrophages and cell lines. AIM2 and IL-1β contribute to murine control of Mycobacterium tuberculosis (M.tb) infection, but AIM2’s impact in human macrophages, the primary niche for M.tb, remains unclear. We show that M.tb, Mycobacterium bovis bacillus Calmette–Guérin (BCG), and M. smegmatis induce AIM2 expression in primary human macrophages. M.tb-induced AIM2 expression is peroxisome proliferator-activated receptor γ (PPARγ)–dependent and M.tb ESX-1–independent, whereas BCG- and M. smegmatis–induced AIM2 expression is PPARγ-independent. PPARγ and NLRP3, but not AIM2, are important for IL-1β release in response to M.tb, and NLRP3 colocalizes with M.tb. This is in contrast to the role for AIM2 in inflammasome activation in mice and peritoneal macrophages. Altogether, we show that mycobacteria induce AIM2 expression in primary human macrophages, but AIM2 does not contribute to IL-1β release during M.tb infection, providing further evidence that AIM2 expression and function are regulated in a cell- and/or species-specific manner.
Loxosceles rufescens: single-institutional epidemiology, diagnosis and treatment
Authors: Coletta Francesco , Esposito Simone , Di Maiolo Giovanna , Lo Chiatto Filomena , Cuomo Mariarosaria , De Marco Giovanna Paola , Amitrano Pasqualina , Sala Crescenzo , Tomasello Antonio , Villani Romolo
Published: January 2024

Loxosceles rufescens, also known as “violin spider” due to its characteristic appearance, is a medium-sized spider species that can potentially pose a threat to humans. For this study, patients who presented to our hospital’s Poison Control Center between January 1, 2022, and December 31, 2022, and met the following inclusion criteria were included: Suspicion of a violin spider bite, as evaluated by our center. Our protocol involves an initial local treatment, which includes local washing with copious water and disinfection, along with the application of chlorotetracycline hydrochloride. Systemic therapy utilizes Amoxicillin and Clavulanic Acid as the first-line medication. The primary endpoints of this study are the timing and effectiveness of the treatment for cutaneous lesions. Demographic and anamnestic information regarding age, gender, and timelines was summarized using descriptive methods. Our study’s results indicate that erythema and pain are the most frequent symptoms. Loxoscelism is highly concentrated in the Western hemisphere and is considered the only proven arachnological cause of dermo-necrosis. In recent years, there has been an increase in diagnoses.
Acute limb ischemia due to left brachial artery occlusion in a 40-year-old female patient: a case report
Authors: AlMadhwahi Nabil , Al-Hanash Sallam , Barat Ali , Alshujaa Mohammed , Najran Mohammed , Fadhel Ali , Al-Jammal Eman , Ahmed Faisal , Altam Abdulfattah , Badheeb Mohammed
Published: January 2024

Acute upper limb ischemia (ALI) due to brachial artery occlusion is a rare but catastrophic condition that poses a significant threat to limb viability and can result in limb amputation or death. Accurate diagnosis and timely intervention are crucial to avoid catastrophic consequences. Literature on ALI due to brachial artery occlusion is scant and usually related to atrial fibrillation. We report a 40-year-old female presented with sudden onset left upper limb pain, change in color, and neurological deficits in the last three days. A color Doppler ultrasound revealed a complete occlusion of the left brachial artery with echogenic thrombosis suggestive of ALI. The patient urgently underwent a thrombectomy with an uneventful outcome. In conclusion, even though ALI due to brachial artery occlusion is rare, a heightened level of suspicion, precise diagnosis, and timely management are essential to prevent any fatal consequences.
Role of hysteroscopy in categorization of abnormal uterine bleeding in a multispecialty hospital in Bahrain
Authors: Huparikar Anita , Kothiwal Silky , Kanala Sai Ashrita , Habib Halah Saeed Ahmed , Akondi Butchi Raju
Published: January 2024

Background. Abnormal uterine bleeding is a broad term involving various irregularities of the menstrual cycle. Previously various terms were used to define abnormalities in menstrual bleeding. To create a universally accepted system of nomenclature, the Federation of Obstetrics and Gynecology proposed the new terminology PALM-COIEN. The current study is aimed to classify cases of abnormal uterine bleeding as per PALM-COEIN. Materials and Methods. It is a retrospective, observational study using the data from 110 patients, who underwent hysteroscopic evaluation and endometrial biopsy and were categorized based on PALM-COIEN. Patients were grouped under these categories after detailed history, examination, investigations, hysteroscopic findings, and histopathology. Results. Polyp was the commonest group (n=45, 40.9%) in our study, which was followed by leiomyoma (n=30, 27.27%), ovulatory disturbances (n=28, 25.45%), adenomyosis (n=5, 4.54%), malignancy (n=2, 1.81%) respectively. Conclusions. Hysteroscopic evaluation is a simple and useful tool to find out the structural pathologies of PALM-COIEN classification. Further histopathological confirmation of clinical diagnosis can enhance the diagnosis and treatment modalities.
$C^{1,\alpha}$-regularity for a class of degenerate/singular fully non-linear elliptic equations
Authors: Baasandorj Sumiya , Byun Sun-Sig , Lee Ki-Ahm , Lee Se-Chan
Published: January 2024

We establish an optimal

C^{1,\alpha}

-regularity for viscosity solutions of degenerate/singular fully non-linear elliptic equations by finding minimal regularity requirements on the associated operator.
Uniform in time propagation of chaos for the 2D vortex model and other singular stochastic systems
Authors: Guillin Arnaud , Le Bris Pierre , Monmarché Pierre
Published: January 2024

We adapt the work of Jabin and Wang (2018) to show the first result of uniform in time propagation of chaos for a class of singular interaction kernels. In particular, our models contain the Biot–Savart kernel on the torus and thus the 2D vortex model.
Foliations whose first Chern class is nef
Authors: Ou Wenhao
Published: January 2024

Let

\mathcal{F}

be a foliation on a projective manifold

X

with

-K_{\mathcal{F}}

nef. Assume that either

\mathcal{F}

is regular, or it has a compact leaf. We prove that there is a locally trivial fibration

f\colon X\to Y

and a foliation

\mathcal{G}

on

Y

with

K_{\mathcal{G}}\equiv 0

such that

\mathcal{F} = f^{-1}\mathcal{G}

.
Morse index of block Jacobi matrices via optimal control
Authors: Baranzini Stefano , Beschastnyi Ivan
Published: January 2024

We describe the relation between block Jacobi matrices and minimization problems for discrete-time optimal control problems. Using techniques developed for the continuous case, we provide new algorithms to compute and estimate spectral invariants of block Jacobi matrices.
Mandatos de masculinidad y expresiones de violencia en el contexto del paro nacional colombiano de 2021
Authors: Martínez-Hoyos María Fernanda , Carmona-Parra Jaime Alberto
Published: January 2024

El presente artículo de investigación pretende aportar al campo de estudio de las masculinidades, develando los modos como se articulan la violencia y los mandatos de masculinidad hegemónica en el marco de un acontecimiento de protesta social: el paro nacional ocurrido en Colombia en el año 2021. Mediante el método del análisis documental, se realizó la revisión y análisis de contenido del informe entregado por la Comisión Interamericana de Derechos Humanos al Estado Colombiano (2021) y de cuatro informes entregados a esta comisión por la Defensoría del Pueblo y organizaciones no gubernamentales de derechos humanos, populares y feministas. La revisión documental permite destacar dos tipos de violencia durante esta protesta: (a) abuso de poder por parte de las Fuerzas Militares del Estado, mediante detenciones arbitrarias, violencia física, uso de armas letales y no letales, desapariciones y asesinato; y (b) violencias basadas en género, desplegadas principalmente en contra de mujeres y personas con identidades u orientaciones sexuales diversas, especialmente quienes encarnan cuerpos feminizados. Se concluye que en este escenario de protesta se despliega una lógica guerrerista, en torno a la cual se exacerba la manifestación de ciertos atributos: fuerza, potencia, resistencia, capacidad de control y dominio. Junto con la reafirmación de la heterosexualidad, estos ratifican el cumplimiento del mandato de masculinidad hegemónico. Además de estar atravesadas por este mandato, varias de las manifestaciones analizadas reflejan una fuerte impronta colonial, lo que sugiere la necesidad de incorporar estas categorías en el análisis de las manifestaciones de violencia que estructuran la cotidianidad colombiana.
De la revolución de la alegría al acuerdo con el FMI. Neoliberalismo, endeudamiento externo y dependencia durante el gobierno de Macri
Authors: Fair Hernán
Published: January 2024

Este trabajo analiza las estrategias discursivas y argumentativas de Mauricio Macri para justificar el acuerdo de subordinación al FMI del año 2018. Encontramos que Macri intentó justificar el acuerdo financiero a través de la metáfora del recorrido de un camino gradualista desde un camino de desequilibrio fiscal y estancamiento, hacia un futuro mejor para todos los argentinos y como la única alternativa posible. En ese marco, el acuerdo preventivo con el Fondo constituía una decisión realista y necesaria, que respondía a cambios imprevistos en el contexto internacional y carecía de alternativas. Como era el camino correcto y el único posible para equilibrar las cuentas públicas, promover el crecimiento y desarrollo, salirse de ese sendero significaba retroceder e ir hacia una crisis económica más grave que dañaría a toda la sociedad. A partir de esta narrativa del camino evolutivo, Macri escenificaba un relato optimista y pretendía descalificar toda alternativa a las políticas de endeudamiento externo, feroz recorte de la inversión pública y social y ajuste fiscal recesivo. Al mismo tiempo, azuzaba como chantaje con el peligro de caer en una crisis aún mayor, si se osaba aplicar medidas alternativas a las neoliberales. Desde el nivel enunciativo, Macri relacionó el pacto con el Fondo con un compromiso de decir la Verdad, inscrito en un ethos de la sinceridad. Esto lo situaba como un presidente que supuestamente actuaba de modo responsable, sensato y realista. De esta forma, el presidente pretendía justificar la profundización de políticas de endeudamiento y ajuste neoliberal contra los trabajadores y jubilados que significaban recesión, fuerte caída en el poder adquisitivo de salarios y haberes, aumento de la pobreza y el desempleo, pérdida de soberanía y autonomía nacional y creciente exclusión social.
Occupational Therapy’s Opportunity to Impact Care at the End of Life
Authors: Genzlinger Macey , Feldhacker Mackenzie
Published: January 2024

Navigating and managing the end of life can be difficult. The focus of occupational therapy in care at the end of life is to aid the patient and caregiver through these challenges by facilitating improved safety, comfort, and quality of life through the participation in meaningful occupations. Despite the ways that occupational therapy benefits these patients, occupational therapy involvement in care at the end of life is misunderstood, under-researched, and underutilized. There is a general lack of awareness regarding this topic and a stigma that occupational therapy focuses only on rehabilitation and therefore does not belong in care at the end of life. To combat these issues, there needs to be additional education and training for all healthcare professionals, including occupational therapy practitioners, about occupational therapy’s role in care at the end of life. Occupational therapy professionals in this area of practice must strive to educate others and advocate for their role to improve the understanding of this practice area and thus positively impact more patients and families.
A IMPORTÂNCIA DA GESTÃO DO COMPORTAMENTO ORGANIZACIONAL NO GERENCIAMENTO DA DIVERSIDADE NO AMBIENTE ESCOLAR
Authors: Santos Flávia Maria Matos Santos dos , Fonteles Antonia Jane Cleide Sampaio , Ferreira Ana Paula Freitas , Araújo Fábio José de , Nascimento Maraléia Silva Nogueira do
Published: January 2024

Este artigo discorre sobre o papel da gestão escolar diante do gerenciamento de um conflito relacionado a diversidade no ambiente escolar. A pesquisa tem como finalidade dialogar sobre como um plano de gestão bem estruturado pode colaborar para que, utilizando as tecnologias, toda comunidade escolar possa ser agente de inclusão e valorização das diferenças. A metodologia utilizada foi um estudo de caso aliado a uma revisão da literatura para embasar teoricamente as questões abordadas.
REPENSANDO O CURRÍCULO ATRAVÉS DA TECNOLOGIA E METODOLOGIAS ATIVAS
Authors: Silva Freilan Pereira da , Vieira Priscila Caser de Assis , Machado Renato , Santos Silvana Maria Aparecida Viana , Silva Tatiana Petúlia Araújo da
Published: January 2024

O presente estudo aborda a evolução da educação diante das transformações digitais e das demandas contemporâneas de aprendizado. Nesse contexto, o currículo educacional está sendo reformulado para integrar tecnologias inovadoras e metodologias ativas, visando proporcionar uma experiência de aprendizado relevante e engajadora para os alunos. As tecnologias desempenham um papel crucial, oferecendo ferramentas que podem enriquecer a entrega de conteúdo, promover a colaboração, permitir o acesso a recursos globais e personalizar a aprendizagem. A combinação dessas tecnologias com metodologias ativas, como aprendizado baseado em projetos, sala invertida e gamificação, possibilitando assim a ampliação na participação dos alunos no alcance do conhecimento e de habilidades. Isso os coloca no centro da aprendizagem, fomentando habilidades como pensamento crítico, resolução de conflitos e comunicação eficaz. Ao adotar abordagens inovadoras e tecnologias apropriadas, as instituições educacionais podem capacitar os estudantes a desenvolverem em si mesmo o aspecto de protagonistas do seu próprio destino, o preparando para desafios vivenciados em sociedade em que estão inseridos.
DESIGN THINKING E METODOLOGIAS ATIVAS NA EDUCAÇÃO DO SÉCULO XXI
Authors: Santos Filho Elzo Brito dos , Lira Ellen Gonçalves , Gonçalves Franciele , Santos Laurita Christina Bonfim , Silva Sidinéia da
Published: January 2024

Este artigo explora a integração de Design Thinking e Metodologias Ativas no cenário educacional do século XXI, destacando a necessidade de renovar as abordagens pedagógicas tradicionais em resposta a um mundo que valoriza inovação e colaboração. O Design Thinking, derivado do design industrial, promove a solução de problemas com empatia, experimentação e iteração, transformando a sala de aula em um espaço inovador. Paralelamente, as Metodologias Ativas, como Aprendizagem Baseada em Problemas e Sala de Aula Invertida, estimulam os alunos a serem agentes ativos de seu aprendizado. A combinação dessas abordagens cria um ambiente educacional dinâmico e estimulante, fomentando criatividade, pensamento crítico e habilidades de resolução de problemas. Um estudo de caso em escolas técnicas de São Paulo ilustra essa eficácia, com alunos aplicando princípios de Design Thinking em projetos práticos, resultando em maior engajamento e desenvolvimento de competências essenciais. O objetivo do artigo é demonstrar o impacto positivo dessa integração no ambiente educacional, mostrando como ela pode tornar a educação mais adaptável, inovadora e alinhada às exigências atuais. Baseado em uma revisão bibliográfica abrangente, o estudo analisa tendências educacionais contemporâneas, enfatizando a necessidade de uma abordagem centrada no aluno. Conclui-se que é imperativo reavaliar e remodelar práticas pedagógicas convencionais, integrando Design Thinking e Metodologias Ativas para preparar os alunos para os desafios do mundo real.
Analysis of Consumer Repurchase Intent on Organic Vegetable Products in the Modern Market
Authors: Indriyanti Ima Yunita , Irianto Heru , Kusnandar Kusnandar
Published: January 2024

This research explores the commercial value of vegetables, especially in the context of consumers' need for sustainable vegetables, especially during the COVID-19 pandemic. The main focus is on organic vegetables, which are considered to have higher nutritional value and are free from harmful chemicals. Using the Theory of Planned Behavior approach, this study shows that attitudes, subjective norms, and perceptions of behavioral control influence the intention to repurchase organic vegetable consumers in Surakarta City. Other variables analyzed involve perceived value and customer satisfaction. This research method is quantitative associative, involving 130 respondents aged 20-60 years who have bought organic vegetable products in Surakarta City. Analysis of data utilizing Structural Equation Modeling (SEM) through smartPLS 3.0 revealed positive influences of attitudes, subjective norms, perceptions of behavioral control, and customer satisfaction on the intention to make repeat purchases. Perceived value and customer satisfaction also influence positive attitudes towards organic vegetables. However, the findings showed that perceived value did not have a positive influence on repurchase intent. Based on the results of the study, practical suggestions include increasing public information about the benefits of organic vegetables, expanding availability in markets or supermarkets, and actively promoting the health and environmental advantages of organic vegetable consumption. This effort is expected to strengthen consumer confidence and encourage the intention to repurchase organic vegetables in Surakarta City.
ANALISIS KETERLAMBATAN PENGIRIMAN PRODUK JADI DI PT TSUCHIYOSHI PROCORE INDONESIA
Authors: Vikaliana Resista , Arizqi Reza Miftah Nur
Published: January 2024

Transportation and distribution management is a process of distributing goods by an institution to manage the distribution process in fulfilling customer needs systematically. The goal of this research is to find out what factors that might delay the shipment and to analyze the improvement steps and the shipment process in PT Tsuchiyoshi Procore Indonesia in order to help the company to decide what to do. The research method that the author uses is qualitative descriptive, by conducting interviews with informants, documentation and utilization of fishbone diagrams and pareto principles. The author succeeded in concluding the cause of the delay in the shipment process are running out of stock and low production, mostly were caused by the quality of manpower that needed to be improved and the placement of finished products in the warehouse currently did not have an appropriate method.
Efeito da concentração de Manganês na frequência dos fônons ópticos polares em ligas de CdMnTe
Authors:   , Soares Thamires Cordeiro
Published: January 2024

Na última década, o interesse por semicondutores magnéticos diluídos (SMD) aumentou devido às suas potenciais aplicações tecnológicas que demandam uma compreensão pro- funda das técnicas de crescimento bem como das propriedades fundamentais deste tipo de material. Dentro desta classe de materiais, as ligas de Cd1−x Mnx Te (CMT) apresentam grande potencial para aplicações em larga escala. Através da alteração da concentração x de manganês, é possível variar o parâmetro de rede do material, e como consequên- cia o gap de energia do semicondutor, o que possibilita a concepção de, por exemplo, superredes, poços quânticos e heterojunções. Devido a isso, o CMT tem inúmeras apli- cações tecnológicas, incluindo lasers operacionais, detectores de radiação de raios-X e γ de alto desempenho e células solares, todos capazes de operar em temperatura am- biente. Sintetizar dispositivos baseados em SMD de alta qualidade para aplicações em optoeletrônica é um dos principais objetivos da epitaxia por feixe molecular (MBE). As- sim, para compreender os efeitos ópticos da inclusão de manganês em CMTs, é preciso primeiro compreender os mecanismos de crescimento associados a esta técnica. Pensando nisso, este trabalho propôs o experimento de sintetizar ﬁlmes de CMT com concentra- ções distintas de manganês, usando a técnica de crescimento MBE. Existem dois modos de fônons ópticos longitudinais no CMTs, like-CdTe (LO1 ) e like-MnTe (LO2 ), para os quais trabalhos anteriores mostram que há uma dependência linear da frequência com a concentração de Mn. Porém, no presente trabalho, observou-se por meio da técnica de espectroscopia Raman que para determinadas combinações da frequência da luz incidente e da concentração de Mn das amostras há um pronunciado efeito de espalhamento Raman ressonante, no qual as frequências aparentes dos modos LO1 e LO2 permanecem constan- tes à medida que a concentração de Mn aumenta. Com intuito de investigar este problema, foram realizadas medidas de fotoluminescência (PL) nas amostras de CMT produzidas, o que possibilitou avaliar as transições eletrônicas permitidas à medida que a concentração de manganês aumenta. A largura dos picos de PL sugerem que há uma distribuição de concentrações de Mn nos ﬁlmes produzidos. Esta heterogeneidade assegura as condições para o espalhamento Raman ressoante, que será observado toda vez que a energia do fóton incidente se aproximar de uma transição eletrônica do material. Palavras-chave: Epitaxia por Feixe Molecular. Espalhamento Raman Ressonante. Telu- reto de Cádmio-Manganês.
Optimizing Observability: A Deep Dive into AWS Lambda Logging
Authors:   Senior Lead Software Engineer, Richmond, VA, USA, Balakrishna Balasubrahmanya
Published: January 2024

Ensuring the reliability and performance of AWS Lambda functions is contingent upon effective observability as serverless computing becomes an essential component of contemporary application development. This paper explores the crucial function of logging in AWS Lambda and clarifies its importance to observability. The importance of serverless systems and the difficulties they provide for conventional monitoring techniques are discussed in the introduction. The paper clarifies the core ideas of observability and places them in the context of the event-driven paradigm of AWS Lambda. Highlighting the interaction with CloudWatch Logs, the paper delves into the native logging features of AWS Lambda. It offers best practices for optimizing logging strategy, such as using structured logging and taking asynchronous and distributed systems into account. The study highlights the concrete influence of observability on system reliability by presenting case studies from real-world scenarios in which efficient logging in AWS Lambda was crucial in locating and fixing problems. To address the changing requirements of serverless application development, the conclusion highlights the current issues and potential developments in AWS Lambda logging and calls for more investigation and study
A Comparative Study Investigating the Feasibility and Potential of Utilising Polymer, Demolition & Glass Waste as a Partial Replacement for Fine and Coarse Aggregate in Concrete
Authors:   Associate Professor, Civil Engineering Group, School of Built Environment & Engineering, Leeds Beckett University, Civic Quarter Northern Terrace Leeds, UK, Ahmed Ash , Muhammad Nadir Hafiz ,   PhD Researcher, Civil Engineering Group, School of Built Environment & Engineering, Leeds Beckett University, Civic Quarter Northern Terrace Leeds, UK
Published: January 2024

The construction industry is a key CO2 contributor. Contemporary research focuses on formulating cement replacement composites; however, less attention is deliberated to formulating fine/coarse aggregate replacement composites. The waste from different fields contributes enormously to adverse environmental effects, thus necessitating reuse/recycling. The demolition/reconstruction of old buildings/infrastructure is adding further to the waste contribution by the construction industry. The total quantum of fine/coarse aggregate in the construction industry is estimated to be around 20 billion tons, contributing around a billion tons of CO2 . Therefore, even partial replacement of virgin sand/coarse aggregates with various waste materials like glass, rubber, plastic, tyres, recycled concrete and others will economise the cost of manufacturing the concrete with reduced CO2 footprints as eco-friendly materials. This study conducted a comparative analysis for investigation of the characteristic compressive and split tensile strength of concrete composites with partial replacement of virgin sand/coarse aggregate by 10-30% of Crushed Glass (CG), Crumb Rubber (CR), Recycled PET Bottles (RPB), Recycled Concrete Aggregate (RCA) and 5-10% of Shredded Tyres (ST). Generally, all the composites demonstrated par/ better strength with the control mix, achieving the target strength of C55/67 concrete. The composites with CG, RPB and RCA exhibited an improvement in compressive strength, attaining more than 70 MPa (high-performance concrete strength) and up to 10% improvement in split tensile, attaining 4.3 MPa. CR and 5-10% ST exhibited a slight decrease in compressive strengths. All the composites formulated in this study explicate their diverse uses for multipurpose infrastructural applications in the construction industry as improved, economical, eco-friendly waste absorbent composites.
On the Dynamic Characteristics of Orthotropic Rectangular Plates under the Influence of Moving Distributed Masses and Resting on a Variable Elastic Pasternak Foundation
Authors:   Department of Mathematical Sciences,Achievers University, Owo, Ondo State, Nigeria, Adebola Samuel Adeoye , TO Adeloye ,   Department of Mathematics, Nigeria Maritime University, Okerenkoko, Warri South-west Delta, Nigeria
Published: January 2024

This work studies the dynamic characteristics of orthotropic rectangular plates under the influence of moving distributed masses and resting on a variable elastic Pasternak foundation. The governing equation is a fourth order partial differential equation with variable and singular coefficients. The solutions to the problem are obtained by transforming the fourth order partial differential equation for the problem to a set of coupled second order ordinary differential equations using the technique of Shadnam et al, then simplified using asymptotic method of Struble [11]. The closed form solution is analyzed, resonance conditions are obtained and the results are depicted graphically for both cases of moving distributed mass and moving distributed force
Medellín, lecciones de un cambio en seguridad ciudadana
Authors: Ruiz Vásquez Juan Carlos , Cerón Steevens Karen Nathalia , Otálora Sechague Juan David , Cortés Russo Laura Nathalia , Rodríguez Peláez Manuel Felipe
Published: January 2024

Medellín fue considerada la ciudad más violenta del mundo durante los años noventa con una tasa de homicidios superior a 370 por cada 100 000 habitantes. En las últimas tres décadas, los asesinatos en la ciudad disminuyeron en un 90 %. Esta transformación ha sido celebrada internacionalmente como un ejemplo de gobernanza local exitosa de centros urbanos que sufren altos índices criminales. Ahora bien, este artículo sostiene que dicha recuperación –catalogada por algunos como “milagro”– no fue sólo producto de acciones exitosas del gobierno local, sino también el resultado de dos factores más: primero, la política del Estado colombiano a nivel nacional para fortalecer su aparato de seguridad y desmantelar grupos ilegales armados; y segundo, los acuerdos informales entre las autoridades y las bandas locales, así como la decisión de estas últimas de evitar confrontaciones violentas para facilitar la extracción de sus rentas ilegales.