bluuebunny/crossref_metadata_2025 huggingface dataset:
Writing Skills of Senior High School Students: A Basis for Intervention Program
Authors: Angelique M. Barayuga, Kaith , Julius N. Andrade , Harvey P. Bagatnan, Kyle , Frenchy M. Cabanting , Nina R. Chanco, Joannah , Gee T. Catiempo, Aye , Mae Intong, Christines , Ann Montera, Rhey , Mher O. Perez, John , Earl P. Rodio, Adriane , Rose B. Villarante, Ferry , M. Clamares Krystal Joy , O. Pelandas Anna Marie
Published: May 2024

This descriptive study delved into the writing skills of Senior High School students at Lorenzo S. Sarmiento Sr. National High School, laying the groundwork for an intervention program. The primary objective involved a comprehensive assessment of writing skills, drawing comparisons between Grade 11 and Grade 12 students across key indicators: attitudes towards writing, generating, revising, feedback, and awareness and control of the writing process. Utilizing a descriptive design and employing random sampling with 274 respondents, the study used mean and t-test analysis. The overall results revealed a high manifestation of writing skills among students, with attitudes towards writing and generating reaching a moderately high level. Additionally, the study identified high levels in the indicators of feedback, revising, and awareness and control. Significantly, a comparison between the two grade levels uncovered a notable difference, leading to the rejection of the null hypothesis. Grade 11 exhibited a lower mean score than Grade 12, highlighting the necessity for intervention programs for both groups to further enhance their writing skills. Based on these findings, it is recommended that tailored intervention programs be implemented for Grade 11 and Grade 12 students at Lorenzo S. Sarmiento Sr. National High School to address specific areas of improvement and foster continuous enhancement of their writing skills.
Representasi Hubungan Etnik dalam Novel Remaja dari Perspektif Etika Sosiobudaya
Authors: Mahadi Maznida , Tengku Mohd Ali Tengku Intan Marlina , Shah Omar Mardian
Published: May 2024

Novel remaja sering memerihalkan keunikan hubungan etnik, kepentingan, dan isu sejagat yang dihadapi oleh masyarakat multikultur di seluruh dunia. Pemerihalan ini memerlukan penerokaan khusus untuk meneliti sejauh mana novel remaja merepresentasikan hubungan etnik. Oleh itu, kajian ini dilakukan untuk menganalisis hubungan etnik dalam novel-novel remaja dari perspektif etika sosiobudaya berlandaskan Teori Etika dalam Sastera. Kajian ini dilakukan secara kualitatif deskriptif. Analisis dan kajian ditumpukan kepada identiti dan latar sosiobudaya, hubungan antara kaum dan fenomena sosiobudaya yang terdapat dalam novel-novel remaja terpilih, iaitu novel Ayah, Nyanyian Musim Rusuh dan Nanyang. Hasil kajian menunjukkan bahawa novel-novel remaja terpilih memainkan peranan penting dalam memperkenalkan hubungan etnik kepada pembaca remaja. Kajian juga membuktikan pemahaman tentang budaya masyarakat dalam novel remaja tidak hanya menyumbang kepada pembangunan literasi remaja, tetapi juga memperluaskan horizon kebudayaan remaja dan membantu memupuk pemikiran kritis dan menyemai semangat muhibah. Kajian ini merumuskan bahawa novel remaja merupakan medium yang berpotensi menyalurkan pesanan etika tentang kepentingan memelihara hubungan etnik. Dicadangkan kajian lanjutan dilakukan ke atas bahan bacaan lain supaya cakupannya lebih komprehensif.
Karakter Kepimpinan: Hubung Kait Konteks Alam dengan Kehidupan Sosial Berdasarkan Permaknaan dalam Ukiran Kayu Tiga Dimensi
Authors: Herwandi Herwandi , Razi Maamor Fakhrur , Musa Kahn Sabzali , Zahid Indirawati , Taif Basitah
Published: May 2024

Sejarah masyarakat dunia telah membentuk sebuah kepimpinan dalam organisasi global; tidak terkecuali masyarakat Adat Perpatih yang menjadikan ukiran tiga dimensi buah buton yang terbina berlandaskan konteks alam. Oleh itu, kajian ini bertujuan menganalisis hubung kait konteks alam dengan masyarakat Adat Perpatih yang diinterpretasikan dalam ukiran tiga dimensi buah buton. Bagi mencapai objektif tersebut, kajian ini menggunakan pendekatan kualitatif dengan mengguna pakai kaedah kerja lapangan dan temu bual. Kerja lapangan melibatkan penyelidikan terhadap rumah-rumah tradisional yang mempunyai ukiran buah buton sekitar Luak Tanah Mengandung, Negeri Sembilan. Manakala, temu bual pula mengetengahkan responden-responden daripada kategori pengamal Adat Perpatih, penyelidik Adat Perpatih dan masyarakat tempatan. Kajian ini mendapati bahawa buah buton hanya ditemui pada rumah-rumah trradisional yang dimiliki atau dihuni pemimpin adat ataupun golongan bangsawan. Dapat disimpulkan, pengaplikasian subjek tersebut sebagai sebuah peringatan buat pemiliknya yang mempunyai status dalam Adat Perpatih dengan menjadikan konteks alam sebagai rujukan dan panduan buat masyarakatnya. Ini menunjukkan bahawa karakter atau sifat alam itu dijadikan metafora dalam membentuk sebuah permikiran kepimpinan yang holistik dan berketerampilan. Ini merupakan sebuah impak kepada keperibadian seseorang yang bukan sekadar menjadikan buah buton sebagai perhiasan; malah, mampu menembus hati dan jiwa nurani si pemiliknya dengan bersandarkan pada akal fikiran yang logik. Maka, artikel ini mencadangkan agar penyelidikan yang khusus terhadap permaknaan setiap ciri yang diukir pada ukiran buah buton dilakukan bagi melihat kaitannya dengan kepimpinan dalam sesebuah organisasi.
Faktor Pemilihan Kerjaya Sebagai Janitor: Satu Teori Pilihan Rasional
Authors: Awang Pawi Awang Azman , Akmal Md Din Nurul Asmaa , Mohd Hussain Rosila Bee , Abdul Rahim Rahimin Affandi
Published: May 2024

Sektor pembersihan pada era moden ini tidak asing lagi dalam kalangan masyarakat dunia. Kebanyakan anggota masyarakat terdiri daripada kumpulan komuniti yang sibuk bekerja sehingga tiada ada masa menguruskan rumah. Pekerja domestik terutamanya janitor berdepan dengan pelbagai isu seperti layanan negatif, stigma dan tidak dihargai namun mereka masih memilih untuk bekerja sebagai janitor. Kajian ini dilakukan adalah untuk mengkaji faktor pemilihan kerjaya janitor untuk menyara kehidupan. Kajian ini menggunakan pendekatan kualitatif iaitu temu bual secara terperinci kepada 10 orang janitor yang telah berkecimpung dalam bidang ini lebih daripada setahun. Dapatan kajian telah dianalisis selepas proses transkripsi menggunakan perisian Nvivo bagi melihat tema-tema yang wujud dalam faktor pemilihan kerjaya sebagai janitor. Faktor yang mendorong janitor untuk memilih kerjaya dalam sektor pembersihan dianalisis berdasarkan Teori Pilihan Rasional. Dapatan kajian menunjukkan bahawa pemilihan kerjaya sebagai janitor terbahagi kepada tiga faktor: (1) kewangan, (2) masa dan (3) keterikatan kerja. Kajian ini menunjukkan bahawa walaupun janitor memilih kerjaya dalam sektor yang dianggap sebagai ‘kotor’ dan tidak bernilai, namun mereka percaya bahawa kerja ini mulia di sisi agama. Kesimpulan daripada kajian ini pula membuktikan bahawa mereka tetap memilih untuk bekerja dalam sektor pembersihan tanpa mengira masalah yang dihadapi dalam pekerjaan ini. Implikasi kajian ini ialah kesedaran perlu diberikan kepada masyarakat supaya mereka dapat membetulkan persepsi buruk terhadap sektor perkhidmatan pembersihan. Kajian lanjutan perlu dibuat dengan mengkaji penerimaan masyarakat terhadap janitor yang memiliki kelayakan akademik dan kemahiran yang bersesuaian dalam sektor perkhidmatan pembersihan.
Evaluar la evolución de la empatía en el tiempo en estudiantes de odontología
Authors: Fortich Mesa Natalia , Pianeta Alviz Roquelina , Hoyos Hoyos Vivi , Vilca Lindsey W. , Reyes-Reyes Alejandro , Diaz Victor
Published: May 2024

Objetivo. evaluar la evolución de la empatía y sus dimensiones en dos períodos anuales diferentes y determinar las fortalezas y las deficiencias observadas en la empatía y en sus dimensiones.
Material y Métodos. estudio no experimental, descriptivo y transversal. La población la conforman estudiantes colombianos de odontología. La muestra se conformó de dos cohortes: n=326 estudiantes, 100% de la población (cohorte 2016) y n=207 estudiantes, 87,34 % de la población (cohorte 2022). La empatía fue medida por el instrumento JES-HPS. Se aplicó un análisis factorial confirmatorio, fiabilidad e invarianza. Las comparaciones de empatía entre las cohortes se realizaron mediante un análisis de la varianza factorial. Resultados. se cumplió el modelo teórico de tres dimensiones de la empatía en ambas cohortes estudiadas. Los niveles de confiabilidad fueron aceptables. No se encontraron diferencias estadísticas relevantes entre las cohortes y se observa una declinación en el segundo y quinto curso de la empatía y de las dimensiones en general.
Conclusiones. los valores de la empatía y sus dimensiones se han mantenido sin cambios en el tiempo y la empatía clasifico como “nivel medio” Como consecuencia de lo anterior, los niveles medios de la empatía podrían asociase a un déficit en la capacidad de entender la subjetividad del pensamiento del paciente y, esta situación, complica una actitud empática normal.
Atuação do enfermeiro durante a realização de exame de ressonância magnética cardíaca
Authors: Nobeschi Leandro , Lodi Fabio Redivo , Eidi Goto Rafael , Affonso Angela Rita Marçano , Reis Simone Oliveira dos
Published: May 2024

As doenças cardíacas atualmente apresentam as maiores causas de mortes no mundo, sendo a arritmia cardíaca uma desordem comum, principalmente em pacientes com mais de 30 anos. Para o diagnóstico, alguns exames complementares são realizados, como exames de imagem de ecocardiografia sob estresse, tomografia computadorizada e ressonância magnética. Por se tratar de um exame não invasivo, sem radiação ionizante, a ressonância magnética vem ganhando campo no cenário de diagnóstico de doenças cardíacas. Uma equipe multiprofissional se insere nesse campo, como os profissionais da enfermagem. O enfermeiro precisa apresentar conhecimentos técnicos e científicos prévios sobre o método de diagnóstico por imagem, tronando possível orientar o paciente pré e pós exame, acompanhar o exame, realizar acesso venoso para os meios de contraste e garantir a segurança do paciente. Desta forma, o objetivo do trabalho foi compilar informações relevantes para o profissional de enfermagem atuar no setor de ressonância magnética, citando suas atribuições durante a realização de exames cardíacos. As atribuições são diversas, ressaltamos que a anamnese, monitorização e orientação do paciente são fatores importantes para a segurança do paciente. O conhecimento de doenças crônicas pode contraindicar o uso de meios de contraste. O enfermeiro tem como encargo o conhecimento de todo o procedimento do exame, garantindo a segurança do paciente.
Tamponamento cardíaco e sua correlação na parada cardiorrespiratória: manejo e cuidados de enfermagem
Authors: Oliveira Romani Lucas , Malagutti William
Published: May 2024

O tamponamento cardíaco é uma condição clínica de emergência potencialmente fatal, caracterizado principalmente pela diminuição da capacidade do coração em realizar suas funções fisiológicas, principalmente como bomba cardíaca e, portanto, se enquadra como uma das causas reversíveis da parada cardiorrespiratória, necessitando de um reconhecimento precoce e tratamento imediato, conduzido de forma precisa a fim de prevenir complicações posteriores. Este trabalho em questão tem por objetivo identificar a importância que o profissional enfermeiro junto a equipe de enfermagem desempenha durante sua assistência nos cuidados ao paciente desde reconhecimento precoce à prevenção na evolução do quadro fisiopatológico. A metodologia utilizada se trata de uma revisão integrativa da literatura atual de caráter exploratório, em que foram realizados buscas forma combinadas ao operador booleano “and”, seguindo a combinação dos termos norteadores: “enfermeiro”, “tamponamento cardíaco”, “parada cardiorrespiratória” e “equipe de enfermagem”, as buscas foram realizadas entre os meses de abril a agosto de 2023, seguindo como referência as bases de dados da Medline, Lilacs e BDENF por meio das plataformas de busca avançada BVS (Biblioteca Virtual em Saúde) e na biblioteca Scielo. A pesquisa resultou em algumas referências que reforçam a importância que os profissionais da enfermagem possuem no atendimento direcionado ao paciente com tamponamento cardíaco, tendo em vista sua assistência ser à beira leito e integral, de forma individualizada ao paciente, além de viabilizar o caminho para uma maior valorização e reconhecimento profissional. Enfim, a mensagem que este trabalho reforça é a imensa necessidade de conscientização da equipe de enfermagem acerca da necessidade de uma atualização em estudos científicos, bem como a instauração de meios para desenvolver uma melhor educação continuada e permanente, a fim de propiciar aos profissionais mais segurança e precisão em suas condutas, que irão certamente causar impactos positivos ao indivíduo que recebe seu cuidado, principalmente em maiores chances de sobrevida, com menores chances de complicação possível.
Enhanced Player Discovery via Machine Learning
Authors: Nithin M  , Dr. S. Nagasundaram
Published: May 2024

Forecasting the number of Olympic medals for each nation is highly relevant for different stakeholders: Ex ante, sports betting companies can determine the odds while sponsors and media companies can allocate their resources to promising teams. Ex post, sports politicians and managers can benchmark the performance of their teams and evaluate the drivers of success. To significantly increase the Olympic medal forecasting accuracy, we apply machine learning, more specifically a two-staged, thus outperforming more traditional naïve forecast for three previous Olympics held in the past years.
In our project best player is predicted by algorithms namely Naïve Bayes (NB) as existing and K Nearest Neighbor (KNN) as proposed system and compared in terms of Accuracy. From the results obtained its proved that proposed KNN works better than existing NB. This project aims to develop a machine learning solution in Python for searching and ranking the best players based on their performance metrics.
The project involves collecting and preprocessing relevant player data, including statistics and attributes. Various machine learning algorithms, such as regression or ranking models, are explored to predict player performance. The trained model is then deployed to make real-time predictions, assisting sports teams or gaming platforms in selecting the most suitable players. The project highlights the potential of machine learning in optimizing player selection processes, offering a scalable and data-driven approach to identifying top performers.
Career Bot for Career Prediction of Higher Secondary Students using Decision Tree
Authors: S. Selvakumar  , A. Poongodi
Published: May 2024

Career guidance refers to a process that assists individuals, typically students in making informed decisions about their career paths. Career guidance can be delivered through various channels, including career counsellors, educational institutions, online platforms, and self-help resources. It plays a vital role in helping individuals make informed choices that align with their aspirations, values, and capabilities. Traditional career prediction models often lack transparency and fail to consider the diverse and dynamic factors that influence students' career choices. The existing systems may exhibit biases and limitations that hinder accurate and personalized career guidance. The project aims to tackle these problems by developing an Explainable ML (XML) model that provides transparent, personalized, and adaptable recommendations to higher secondary students. The proposed system incorporates Decision Tree algorithms within an Explainable ML framework to provide clear and comprehensible insights into the factors influencing career predictions. It takes into account a diverse set of input features, including academic performance, skills, interests, and extracurricular activities, to offer personalized career guidance to individual students. The project also addresses potential biases in the model to ensure fair and equitable career recommendations for students from varied backgrounds. By combining the power of Decision Tree algorithms with Explainable ML, the project aims to empower higher secondary students in making well-informed decisions about their future careers. The transparency provided by the Explainable ML model enhances user trust and understanding, fostering a more engaging and personalized career prediction system. The project's outcomes are expected to contribute significantly to the field of career guidance, providing a model that is not only accurate but also accessible and comprehensible for students navigating the critical phase of choosing their career paths.
Tomato Leaf Disease Detection using Flask Frame Work
Authors: Bharad Raj  , R. Priya
Published: May 2024

In recent years, plant leaf diseases has become a widespread problem for which an accurate research and rapid application of deep learning in plant disease classification is required, tomato is also one of the most important plants and seeds which are used worldwide for cooking in either dried or fresh form, tomato are a great source of protein that offer many health benefits, but there are a lot of diseases associated with tomato leaf which hinder its production. Thus, an accurate classification of tomato leaf diseases is needed to solve the problem in the early stage. A deep learning approach is proposed to identify and classify leaf disease by using public dataset of leaf image and CNN model with the open source library TensorFlow. In this project, we proposed a method to classify tomato leaf disease and to find and describe the efficient network architecture (hyper parameters and optimization methods). Moreover, after applying each architecture separately, we compared their obtained results to find out the best architecture configuration for classifying tomato leaf diseases and their results. Furthermore, to satisfy the classification requirements, the model was trained using CNN architecture check if we could get faster training times, higher accuracy and easier retraining. Deep learning is a branch of artificial intelligence. In recent years, with the advantages of automatic learning and feature extraction, it has been widely concerned by academic and industrial circles. It has been widely used in image and video processing, voice processing, and natural language processing. At the same time, it has also become a research hotspot in the field of agricultural plant protection, such as plant disease recognition. The application of deep learning in plant disease recognition can avoid the disadvantages caused by artificial selection of disease spot features, make plant disease feature extraction more objective, and improve the research efficiency and technology transformation speed. This review provides the research progress of deep learning technology in the field of crop leaf disease identification in recent years. In this project, we present the current trends and challenges for the detection of plant leaf disease using deep learning and advanced imaging techniques. We hope that this project will be a valuable resource for researchers who study the detection of plant diseases. At the same time, we also discussed some of the current challenges and problems that need to be resolved.
SJCIT Transport Management System
Authors: Shreekar Bharadwaj M N  , Dhanush Reddy H M  , Deeraj C  , Akshath Sai  , Narendra Babu
Published: May 2024

Innovative software developed with great care to maximize transportation inside of educational institution called the SJCIT Transport Management System (TMS). Acting as a single point of contact for all student and faculty transportation-related information, including records, routes, diversions, and more, this system includes sophisticated features like effective database management, user-friendly interfaces, and aesthetically pleasing design elements. Its rapid adaptation minimizes transition times by guaranteeing quick user onboarding. A key instrument in coordinating the smooth movement of people across multiple locations and schedules is the SJCIT TMS, which is centred around the promotion of safe, efficient, dependable, and sustainable transportation practices. Its adaptability makes it possible for it to function seamlessly in both standalone and integrated configurations, which makes it an essential tool for improving transportation management in learning environments
Smart Water Pollution Management: IoT for Automatic Detection and Prevention
Authors: Dr. Puneeth GJ  , Shashank T  , Vinit P  , S D Muzammil  , N R Karthikeya
Published: May 2024

Water quality monitoring is vital for public health and environmental sustainability, but traditional methods face challenges such as high costs, lack of portability, and limited real-time data access. This paper presents a solution using Arduino-based sensors integrated with IoT technology to enhance water quality monitoring. The system employs various sensors to measure parameters like Total Dissolved Solids (TDS), turbidity, water transparency, methane gas, and alcohol gas. Data from these sensors is transmitted to a NodeMCU microcontroller and uploaded to the Blynk cloud platform, allowing real-time monitoring and remote access via customizable dashboards. The proposed system is cost-effective, portable, and provides immediate data access, addressing the limitations of traditional methods. It enables timely detection of water quality issues, facilitating prompt responses to health and environmental threats. This innovative approach significantly advances water quality monitoring by leveraging IoT technologies to improve environmental management practices
A CNN-Based Framework for Video Analysis and Accident Detection
Authors: Arnav Tatewar  , Sakshi Kothurkar  , Shreyas Jadhav  , Venktesh Mahajan  , Mr. Digambar Jadhav  , Mrs. Savita Jadhav
Published: May 2024

This research investigates the development and deployment of a Convolutional Neural Network (CNN) model for automatic accident detection in CCTV footage. The ever-increasing reliance on video surveillance necessitates efficient and accurate methods for accident identification. CNNs, with their inherent ability to learn complex spatial relationships within images, are particularly well-suited for this task. This study proposes a CNN architecture that utilizes a pre-trained MobileNetV2 base for feature extraction, followed by a custom classification head tailored to the specific task of accident vs. no accident classification. The model is trained on a dataset of grayscale video frames, achieving an impressive accuracy of 92% on the testing set. This high level of accuracy suggests that CNNs hold significant promise for real-world accident detection applications. Furthermore, to bridge the gap between research and practical implementation, the model is converted to a TensorFlow Lite (TFLite) format for deployment on resource-constrained devices. Additionally, a user-friendly frontend application is developed, empowering users to interact with the model and analyze both images and videos. This user-centric approach broadens the model's accessibility and paves the way for potential improvements in road safety through real-time accident detection.
Design and Development of an Autonomous Rover Application using A Rocker-Bogie Mechanism In Agriculture
Authors: Rutvik Sandbhor  , Sanket Kachale  , Aditya Bhosale  , Prof. Kundlik Kshirsagar  , Prof. Kundlik Kshirsagar  , Prof. Pravin Sharma
Published: May 2024

The crucial topic of upgrading the rover over its earlier designs is covered in the project work "STUDY ON ROCKER ROVER AND ITS IMPLEMENTATION IN THE FIELD OF AGRICULTURE." The ROCKER rover was intended for use on similar excursions that require it to function in challenging conditions, such as the Moon's surface. However, the use of the rocker rover can be expanded even further in fields of employment where the land has to be used for operations, such as agricultural farming. Our research focuses on how the rocker rover can be modified for use in farming, greatly increasing the automation of the agricultural sector. The rover's body is entirely composed of PVC to boost.
With the introduction of cutting-edge technologies, agricultural practices are changing with the goal of enhancing sustainability, accuracy, and efficiency. The design and construction of an autonomous rover with a rocker-bogie suspension system specifically intended for agricultural applications is the main goal of this study.
When doing in-situ scientific investigation of goals that are separated by several metres to tens of km, rocker bogie are crucial. The complicated mobility designs of today use numerous wheels or legs. They are vulnerable to mechanical failure brought on by Mars' hostile atmosphere. a four-wheeled rover with a high degree of mobility suspension system that is effective in navigating uneven terrain. The main mechanical characteristic of the rocker bogie design is how simple its drive train is—it only requires two motors to move. Because both motors are housed inside the body, where heat variance is minimised, dependability and efficiency are raised. Because there aren't many barriers on natural terrain that call for the rover to use all of its front wheels, four wheels are used
Spinal immobilization in trauma victims in an out-of-hospital setting: scoping review protocol
Authors: Silva Liliana , Mota Liliana , Gomes José António , Branco Mário
Published: May 2024

Introduction: Trauma is one of the main causes of morbidity and mortality worldwide. Although there is no evidence to support the safety and efficacy of spinal immobilization and its several adverse effects associated to spinal immobilization of trauma victims, it remains a common practice. Objective: To map the evidence regarding the spinal immobilization criteria and its adverse effects associated in trauma patients. Methods: The methodological guidelines of the Joanna Briggs Institute for scoping reviews will be followed for this literature review. The databases used will be the Nursing & Allied Health Collection, Cochrane Plus Collection: Cochrane Central Register of Controlled Trials; Cochrane Database of Systematic Reviews (CDSR) and Database of Abstracts of Reviews of Effects, MedicLatina, MEDLINE COMPLETE, SPORTDiscus (via EBSCOHost), Scielo, LILACS and Sciencedirect. Other potential sources in the gray literature, including professional websites, and the references of the included articles will be considered. Results: The results will be summarized and reported in a narrative summary and the evidence should directly respond to the review objective and question, aiming to cluster evidence regarding spinal immobilization and the associated adverse effects and identify possible knowledge gaps. Conclusion: Knowledge of morbidity associated with immobilization devices, as well as support for their use, can contribute to better care practice in the effective and safe approach to trauma, ensuring more informed decision-making about the need for immobilization.
Conservación histórica de bosques comunitarios en guatemala: elcaso de la Asociación Parcialidad Indígena de Chuamazán
Authors: Méndez Aura Elvira , Vásquez Elías Nelson Salomón
Published: May 2024

Los esfuerzos de conservación de bosques a nivel mundial demandan indicadores que faciliten el monitoreo del estado y cambios en la cobertura forestal, el uso del Índice de Vegetación de Diferencia Normalizada -NDVI- es útil a este propósito. En este artículo se analizan promedios anuales del NDVI para el periodo 1986-2022 del territorio de la Asociación Parcialidad Indígena de Chuamazán, relacionándolos con las dinámicas históricas y sociales locales que brindan elementos para explicar el estado del bosque. Con el objetivo de aportar información al diseño de políticas públicas y procesos  de  monitoreo  relacionados,  se  usaron  imágenes  satelitales Landsat, herramientas SIG y la aplicación de la NASA AppEEARS para el análisis de datos geoespaciales. En combinación con herramientas participativas enmarcadas en el método de Investigación etnoecológica. El NDVI de la parcialidad se encontró dentro del rango de 0.6 y 0.75, indicativo de una vegetación densa y vigorosa originada por la presencia del bosque, producto de la defensa y gestión histórica del territorio de la parcialidad. Con base en un sistema de valores socioculturales e historia ancestral compartidos, determinantes de la construcción de capital social, saberes ecológicos y de un sistema de gobernanza propio.
Pengaruh Kecerdasan Linguistik, Kecerdasan Emosional, Kecerdasan Adversitas, dan Kecerdasan Spasial terhadap Hasil Belajar Geometri Peserta Didik
Authors: Ihsan Hisyam , Bernard Bernard , Sa’diyyah Fadhilah Nur
Published: May 2024

Jenis penelitian adalah ex-post facto yang bertujuan untuk mengetahui seberapa besar pengaruh pengaruh Kecerdasan Linguistik (KL), Kecerdasan Emosional (KE), Kecerdasan Adversitas (KA) terhadap Hasil Belajar Geometri (HBG) melalui Kecerdasan Spasial (KS) peserta didik Kelas VIII SMPIT Nurul Fikri Makassar. Variabel eksogen dalam penelitian ini adalah KL,KE, dan KA, variabel intervening yaitu KS, serta variabel endogen yaitu HBG. Populasi penelitian adalah seluruh siswa kelas VIII SMPIT Nurul Fikri Makassar, ukuran sampel yang digunakan yaitu 105 peserta didik. Teknik penentuan sampel dilakukan dengan menggunakan systematica random sampling. Teknik analisis data yang digunakan adalah analisis statistika deskriptif dan statistika inferensial dengan menggunakan SEM. Hasil statistik deskriptif menunjukkan bahwa KL dan HBG berada pada kategori sangat tinggi. KE, KA, dan KS berada pada kategori tinggi. Adapun hasil statistik inferensial menunjukkan bahwa KA memiliki pengaruh positif dan signifikan secara langsung terhadap KS, sedangkan KL dan KE memiliki pengaruh positif secara langsung terhadap KS namun tidak signifikan. Selanjutnya KL, KE, KA, dan KS memiliki pengaruh positif secara langsung dan signifikan terhadap HBG. Kemudian untuk pengaruh tidak langsungnya, KL dan KE berpengaruh positif dan signifikan secara tidak langsung terhadap HBG melalui KS, sedangkan KA berpengaruh positif secara tidak langsung terhadap HBG melalui KS namun tidak signifikan.
REMIÇÃO DA PENA ATRAVÉS DO TRABALHO: UMA REVISÃO DA JURISPRUDÊNCIA DO SUPERIOR TRIBUNAL DE JUSTIÇA
Authors: Alencar Dávila Lorrane Oliveira , Anjos Vitória Lílian Reis dos , Costa João Santos da
Published: May 2024

Esta pesquisa examina a remição da pena por meio de trabalho e estudo no contexto prisional brasileiro, com foco na ressocialização dos presos e na prevenção de recaídas criminais. A abordagem adotada é qualitativa, baseada em revisão literária e análise da jurisprudência do Superior Tribunal de Justiça (STJ). O estudo se baseia em teorias conceituadas na área do Direito Penal.  A metodologia adotada envolve uma abordagem qualitativa, com revisão literária e análise da jurisprudência do STJ. O trabalho destaca a evolução das opções de remição da pena, incluindo o oficio externo e o cumprimento de regime domiciliar. A pesquisa enfatiza a importância do suporte à reintegração dos ex-presidiários na sociedade e a necessidade de adaptação do sistema prisional às condições atuais. Conclui-se que a remição da pena por trabalho e estudo, juntamente com o suporte à reintegração, são cruciais para a promoção de um sistema prisional mais equitativo e eficiente.
Enhancing mobile aerosol monitoring with CE376 dual-wavelength depolarization lidar
Authors: Sanchez Barrero Maria Fernanda , Popovici Ioana Elisabeta , Goloub Philippe , Victori Stephane , Hu Qiaoyun , Torres Benjamin , Podvin Thierry , Blarel Luc , Dubois Gaël , Ducos Fabrice , Bourrianne Eric , Lapionak Aliaksandr , Proniewski Lelia , Holben Brent , Giles David Matthew , LaRosa Anthony
Published: May 2024

Abstract. We present the capabilities of a compact dual-wavelength depolarization lidar to assess the spatiotemporal variations in aerosol properties aboard moving vectors. Our approach involves coupling the lightweight Cimel CE376 lidar, which provides measurements at 532 and 808 nm and depolarization at 532 nm, with a photometer to monitor aerosol properties. The assessments, both algorithmic and instrumental, were conducted at ATOLL (ATmospheric Observatory of LiLle) platform operated by the Laboratoire d'Optique Atmosphérique (LOA), in Lille, France. An early version of the CE376 lidar co-located with the CE318-T photometer and with a multi-wavelength Raman lidar were considered for comparisons and validation. We developed a modified Klett inversion method for simultaneous two-wavelength elastic lidar and photometer measurements. Using this setup, we characterized aerosols during two distinct events of Saharan dust and dust smoke aerosols transported over Lille in spring 2021 and summer 2022. For validation purposes, comparisons against the Raman lidar were performed, demonstrating good agreement in aerosol properties with relative differences of up to 12 % in the depolarization measurements. Moreover, a first dataset of CE376 lidar and photometer performing on-road measurements was obtained during the FIREX-AQ (Fire Influence on Regional to Global Environments and Air Quality) field campaign deployed in summer 2019 over the northwestern USA. By lidar and photometer mapping in 3D, we investigated the transport of released smoke from active fire spots at William Flats (northeast WA, USA). Despite extreme environmental conditions, our study enabled the investigation of aerosol optical properties near the fire source, distinguishing the influence of diffuse, convective, and residual smoke. Backscatter, extinction profiles, and column-integrated lidar ratios at 532 and 808 nm were derived for a quality-assured dataset. Additionally, the extinction Ångström exponent (EAE), color ratio (CR), attenuated color ratio (ACR), and particle linear depolarization ratio (PLDR) were derived. In this study, we discuss the capabilities (and limitations) of the CE376 lidar in bridging observational gaps in aerosol monitoring, providing valuable insights for future research in this field.
Killing the predator: impacts of highest-predator mortality on the global-ocean ecosystem structure
Authors: Talmy David , Carr Eric , Rajakaruna Harshana , Våge Selina , Willem Omta Anne
Published: May 2024

Abstract. Recent meta-analyses suggest that microzooplankton biomass density scales linearly with phytoplankton biomass density, suggesting a simple, general rule may underpin trophic structure in the global ocean. Here, we use a set of highly simplified food web models, solved within a global general circulation model, to examine the core drivers of linear predator–prey scaling. We examine a parallel food chain model which assumes microzooplankton grazers feed on distinct size classes of phytoplankton and contrast this with a diamond food web model allowing shared microzooplankton predation on a range of phytoplankton size classes. Within these two contrasting model structures, we also evaluate the impact of fixed vs. density-dependent microzooplankton mortality. We find that the observed relationship between microzooplankton predators and prey can be reproduced with density-dependent mortality on the highest predator, regardless of choices made about plankton food web structure. Our findings point to the importance of parameterizing mortality of the highest predator for simple food web models to recapitulate trophic structure in the global ocean.
Quantifying and communicating uncertain climate change hazards in participatory climate change adaptation processes
Authors: Müller Laura , Döll Petra
Published: May 2024

Abstract. Participatory processes for identifying local climate change adaptation measures have to be performed worldwide. As these processes require information about context-specific climate change hazards, we show in this study how to quantify climate change hazards with their uncertainties in regions all around the globe and how to best communicate the potential hazards with their uncertainties in order to identify local climate change adaptation strategies. In a participatory process on water-related adaptation in a biosphere reserve in Germany, we used the freely available output of a multi-model ensemble provided by the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) initiative, which provides global coverage, to quantify the wide range of potential future changes in (ground)water resources. Our approach for quantifying the range of potential climate change hazards can be applied worldwide for local to regional study areas and also for adaptations in agriculture, forestry, fisheries, and biodiversity. We evaluated our approach to communicating uncertain local climate change hazards by means of questionnaires that the stakeholders in the participatory process and the audiences from the general public of two project result presentations answered. To support the stakeholders in participatory climate change adaptation processes, we propose the use of percentile boxes rather than boxplots for visualizing the range of potential future changes. This helps the stakeholders identify the future changes they wish to adapt to, depending on the problem (e.g., resource scarcity vs. resource excess) and their risk aversion. The general public is best informed by simple ensemble averages of potential future changes together with the model agreement on the sign of change. Using or adapting our quantification and communication approach, flexible climate change adaptation strategies can and should be developed worldwide in a participatory and transdisciplinary manner, involving stakeholders and scientists.
Application of regional meteorology and air quality models based on the microprocessor without interlocked piped stages (MIPS) and LoongArch CPU platforms
Authors: Bai Zehua , Wu Qizhong , Cao Kai , Sun Yiming , Cheng Huaqiong
Published: May 2024

Abstract. The microprocessor without interlocked piped stages (MIPS) and LoongArch are reduced instruction set computing (RISC) processor architectures, which have advantages in terms of energy consumption and efficiency. There are few studies on the application of MIPS and LoongArch central processing units (CPUs) in geoscientific numerical models. In this study, the Loongson 3A4000 CPU platform with the MIPS64 architecture and the Loongson 3A6000 CPU platform with the LoongArch architecture were used to establish the runtime environment for the air quality modelling system Weather Research and Forecasting–Comprehensive Air Quality Model with extensions (WRF-CAMx) in the Beijing–Tianjin–Hebei region. The results show that the relative errors for the major species (NO2, SO2, O3, CO, PNO3, and PSO4) between the MIPS and X86 benchmark platforms are within ±0.1 %. The maximum mean absolute error (MAE) of major species ranged up to 10−2 ppbV or µg m−3, the maximum root mean square error (RMSE) ranged up to 10−1 ppbV or µg m−3, and the mean absolute percentage error (MAPE) remained within 0.5 %. The CAMx takes about 195 min on the Loongson 3A4000 CPU, 71 min on the Loongson 3A6000 CPU, and 66 min on the Intel Xeon E5-2697 v4 CPU, when simulating a 24 h case with four parallel processes using MPICH. As a result, the single-core computing capability of the Loongson 3A4000 CPU for the WRF-CAMx modelling system is about one-third of the Intel Xeon E5-2697 v4 CPU, and the one of Loongson 3A6000 CPU is slightly lower than that of Intel Xeon E5-2697 v4 CPU; but, the thermal design power (TDP) of Loongson 3A4000 is 40 W, while the TDP of Loongson 3A6000 is 38 W, only about one-fourth of that of Intel Xeon E5-2697 v4, whose TDP is 145 W. The results also verify the feasibility of cross-platform porting and the scientific usability of the ported model. This study provides a technical foundation for the porting and optimization of numerical models based on MIPS, LoongArch, or other RISC platforms.
Impact of Hurricane Irma on coral reef sediment redistribution at Looe Key Reef, Florida, USA
Authors: Yates Kimberly K. , Fehr Zachery , Johnson Selena , Zawada David
Published: May 2024

Abstract. Understanding event-driven sediment transport in coral reef environments is essential to assessing impacts on reef species, habitats, restoration, and mitigation, yet a global knowledge gap remains due to limited quantitative studies. Hurricane Irma made landfall in the Lower Florida Keys with sustained 209 km h−1 winds and waves greater than 8 m on 10 September 2017, directly impacting the Florida Reef Tract (FRT) and providing an opportunity to perform a unique comprehensive, quantitative assessment of its impact on coral reef structure and sediment redistribution. We used lidar and multibeam derived digital elevation models (DEMs) collected before and after the passing of Hurricane Irma over a 15.98 km2 area along the lower FRT including Looe Key Reef to quantify changes in seafloor elevation, volume, and structure due to storm impacts. Elevation change was calculated at over 4 million point locations across 10 habitat types within this study area for two time periods using data collected (1) approximately 1 year before the passing of Irma and 3 to 6 months following the storm's impact as well as (2) 3 to 6 months after and up to 16.5 months after the storm. Elevation change data were then used to generate triangulated irregular network (TIN) models in ArcMap to calculate changes in seafloor volume during each time period. Our results indicate that Hurricane Irma was primarily a depositional event that increased mean seafloor elevation and volume at this study site by 0.34 m and up to 5.4 Mm3, respectively. Sediment was transported primarily west-southwest (WSW) and downslope, modifying geomorphic seafloor features including the migration of sand waves and rubble fields, formation of scour marks in shallow seagrass habitats, and burial of seagrass and coral-dominated habitats. Approximately 16.5 months after Hurricane Irma (during a 13-month period between 2017 and 2019), net erosion was observed across all habitats with mean elevation change of −0.15 m and net volume change up to −2.46 Mm3. Rates of elevation change during this post-storm period were 1 to 2 orders of magnitude greater than decadal and multi-decadal rates of change in the same location, and changes showed erosion of approximately 50 % of sediment deposited during the storm event as seafloor sediment distribution began to re-equilibrate to non-storm sea-state conditions. Our results suggest that higher-resolution elevation change data collected over seasonal and annual time periods could enhance characterization and understanding of short-term and long-term rates and processes of seafloor change.
Arbitragem e energia no Brasil
Authors: Sena Barbara Bianca
Published: May 2024

The electric industry encompasses the segments of energy generation, transmission, and distribution. It comprises intensive infrastructure investments and energy commercialization. Events related to energy transition and the integration of disruptive technologies have altered the sector’s landscape, requiring system flexibility and increased regulatory proactivity. Additionally, it demands structural, operational, and market changes. The sector is disruptive in terms of governance and operational, market, and legal aspects. In the 2000s, the introduction of competitive areas in the electric industry was the first step towards the use of arbitration, driven by regulatory reforms and in response to the country’s energy crisis, which also led to the first arbitration in the Brazilian electric sector involving the Public Administration. Law nº 10.848/2004 currently makes arbitration mandatory in energy trading contracts managed by the CCEE. Arbitration also finds space in other forms of energy negotiation, such as contracts for mini and micro-distributed generation and energy derivatives. The context of modernization increased renewable energy production and market opening create opportunities for arbitration expansion. There is also potential for further development in enabling relationships of capital-intensive electric industry activities. The paper provides data on the state of the art of these contracts in the Brazilian electric sector, indicating under what circumstances arbitration could enhance governance in the industry.
Enforceability of agreements to mediate and mediated settlement agreements in Albania
Authors: Kola Tafaj Flutura , Çinari Silvana
Published: May 2024

The article aims to examine the provision of the Albanian Mediation Law that provides mediation as a condition for the admissibility of the lawsuit in court when the parties have provided for it in the contract as a preliminary condition before addressing the court. This legal provision is addressed considering the right of access to court and aims to discuss how these agreements to mediate are enforced. In addition, since enforcement of mediated settlement agreements is also a guarantee for the effectiveness and success of mediation, this article also focuses on the analysis of the legal framework and the problems related to their enforcement, which differ depending on how the parties have resorted to mediation (voluntarily, due to the contract, or by referral from the court), and on the type of disputes, where mainly problems arise with conflicts of ownership over immovable property. Besides the analysis of the Albanian Mediation Law, following a comparative approach, the article also addresses the mediation laws of some foreign countries.
Legal liability of mediators
Authors: Valeeva Guzel
Published: May 2024

The aim of the research is to identify possible gaps in the regulation of the legal liability of mediators and parties to the mediation process. The research methodology involved the use of dialectical, formal-legal, and comparative legal methods, as well as techniques of analysis and synthesis, deduction and induction, philosophical laws of unity and struggle of opposites, denial of negation, and others. In the main content, the legal liability of mediators is analyzed from the perspective of its positive and negative components, and the legal character of various manifestations of the legal liability of mediators and their place in the modern system of legal liability is identified. Significant attention is paid to the positive liability of mediators and its legal character is justified. In conclusion it is clarified that the institution of mediation as a whole and the legal liability of mediators in Russia are in the process of formation. It is proven that the legal liability of mediators has a public-law rather than a private-law character. Legal gaps in the regulation of the legal liability of mediators, as well as other parties to the mediation process, are identified, and ways to eliminate them are proposed.
Acceptability of the Establishment of an Umbilical Cord Blood Stem Cell Bank by Pregnant Women in Côte d'Ivoire in 2023
Authors: Marcelle MONEY Ettien , Kouassi Martin KONAN , Maxime DIANE Kouao
Published: May 2024

Umbilical cord blood is the blood contained in the umbilical cord of mammals. It contains immature haematopoietic progenitors, or stem cells. In therapy, stem cells are used to treat a wide range of haematological and non-haematological malignant and benign pathologies. However, in traditional societies in Sub-Saharan Africa, and particularly in Côte d'Ivoire, blood as well as the placenta and its appendages are associated with taboos and are subject to rituals. As a result, very little data exists on the donation and banking of umbilical cord blood. This study is therefore being conducted to assess the level of acceptability of pregnant women attending the Yopougon General Hospital with a view to setting up an umbilical cord blood bank at the Institut Pasteur de Côte d'Ivoire. This was a descriptive cross-sectional study that lasted thirty days. After approval from the health authorities, a questionnaire written in French in the form of closed and open questions was administered to pregnant women using a semi-directed method. Data was entered using smartphones and the free ODK Collect application. Two hundred and eighty-nine women took part in the study. More than half of the participants (52%) were in favour of cord donation, and 84% were in favour of banking. On the other hand, 13% were opposed to donation, with safety being the main reason for refusal.

Key words: Pregnant women, Stem cells, Umbilical cord blood, Biobank, Côte d’Ivoire