bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing the Impact of Climate Change on Wind Energy Potential in Nigeria’s Coastal States: A Future Perspective
Authors: Elijah Ajayi Kehinde , Lawrence Nwaogazie Ify , Hope Amadi Azubuike , Damilare Ola Victor
Published: November 2024

Wind power represents a highly promising renewable energy source for mitigating greenhouse gas emissions, and the world is swiftly transitioning towards more sustainable energy alternatives. Despite their proximity to ample wind resources, Nigeria’s coastal regions are not fully capitalising on them. This study examines the impact of climate change on wind energy potential. This study investigates the rising interest in wind energy within Nigeria’s coastal states and evaluates climate-related challenges, including alterations in wind patterns, structural shortcomings, and the escalating incidence of extreme weather events. Presently, the majority of Nigeria’s energy infrastructure is dependent on fossil fuels and hydropower. This paper explores the effects of climate variability on wind energy production and the alterations in wind patterns through a comprehensive analysis of scientific studies and climate models. It suggests ways to make wind energy in Nigeria more resilient and sustainable by combining new technologies with existing policy frameworks. The energy transition in Nigeria is based on lessons learnt from other countries with comparable climates, such as Brazil and Southern California. The results highlight the critical importance of investing in research, smart grid technology, and hybrid renewable system development to make the most of wind energy. The study concludes that in order to construct a long-term wind energy infrastructure in Nigeria that can endure the effects of climate change and help achieve global climate goals, a multi-pronged strategy involving technology, legislation, and community involvement is necessary.
Disease Diagnosis Using Pattern Matching in DNA Sequences
Authors: Anusha Sriram , Bhukya Raju
Published: November 2024

The introduction of parallel algorithms, specifically OPSI (Overlapping Pair-Set Indexing) and the Finite State Automaton (FSA), addresses the imperative need for accelerated DNA sequence pattern matching in the dynamic landscape of biological databases. As these databases undergo frequent updates, the demand for faster, error-reduced algorithms in real-world applications intensifies. Experimental results showcase the parallel approach’s superior optimization and time efficiency, demonstrating its prowess over serial versions. Rigorous testing on the NCBI ‘Homo Sapiens’ dataset thoroughly evaluates all four algorithms—OPSI, FSA, and their serial counterparts—for disease diagnosis, meticulously recording and comparing their respective outputs and time efficiencies.
Language Diplom Acy: Harnessing Igbo Communication Techniques in the Diaspora for Mutual Development
Authors: Udeze Dr. Chinenye Viola , Opurum Dr. Innocent Okwu , Gertrude Mrs Njoku Uchenna
Published: November 2024

No fewer than 10 million Igbos are domiciled in the diaspora out of over 40 million of them that are found in the global environment. More than half of the diaspora population of Igbos are found in Western Europe, UK and America. The paper explored language diplomacy to harness Igbo communication techniques in the diaspora for mutual development. It relied on non-survey and non-experimental descriptive research to collect unstructured secondary data which it analyzed qualitatively. Guided by the “Uncertainty Reduction” theoretical framework, the paper revealed that the Igbo in the diaspora are aware of their uncertain future in strange lands. To reduce this uncertainty, the Igbo adopted a unique communication technique that is rooted in twin philosophies of “Onye aghala nwanneya” and “Onuru ube nwanneya agbalaoso”. This survival technique enabled them to interact among themselves, remember and retain their ancestral values of industry and communal living. The paper equally revealed that the Igbo in Western Europe and America through their survival communication strategy have made impressive achievements in entertainment, politics, education, health, banking, business and technology. These achievements have increased the Gross Domestic Product (GDP) and Total Gross Earning (TGE) of the host nations through immigrant revenue and public services. It equally has increased Nigeria’s revenue base through diaspora remittances. The paper also discovered that Igbo land has not experienced any corporate gain or revenue yield from the achievements of Igbo people in diaspora. It recommended among other things that Igbo Unions, should be established in all diaspora environments, and should affiliate to the Ohaneze Ndi-Igbo socio-cultural organization worldwide, and that Ohaneze should collaborate with Igbo diaspora unions to invest in infrastructural and industrial development of Igbo land. Should this be done, mutual development is assured, not only for the diaspora elements and their families also, the host nations, Nigeria and Igbo land.
CARACTERIZAÇÃO MORFOLÓGICA DE CLONES “ROBUSTAS AMAZÔNICOS” (COFFEA CANEPHORA PIERRE) CULTIVADOS NO ESTADO DE RONDÔNIA
Authors: Nunes Diego Geraldo Caetano , Teixeira Richelly Gisela Pascalotto , Balbino Tony José , Domingos Patrézio Lourenço , Menezes Geovane Pinto , Costa Josiel Araújo da , Caetano Creucí Maria
Published: November 2024

A cafeicultura clonal de C. canephora constitui-se na mais nova fonte de divisas para o estado de Rondônia, na Amazônia Ocidental Brasileira, ao ponto de receber, em 2021, a denominação de origem, Cafés das ‘Matas de Rondônia’. Considerando-se que há pouca informação científica para os cafés Robustas Amazônicos e em especial sobre a estabilidade genética dos clones comerciais 08, 25, 88 e R-22, desenvolvidos por produtores rurais, o presente estudo propôs o uso de descritores morfológicos, os quais permitem uma discriminação fácil e rápida entre fenótipos. Os clones caracterizados apresentaram alto grau de uniformidade fenotípica intra- e interclonal, mostrando que o processo de seleção das plantas matrizes foi satisfatório. Tal uniformidade sugere uma estabilidade genética regular, traduzida pela viabilidade dos produtos da meiose. Foram identificados descritores mínimos eficientes para uso na discriminação e possível proteção legal de cultivares “Robustas Amazônicos” de C. canephora.
SÍNDROME DE PRADER-WILLI: UMA REVISÃO DE LITERATURA
Authors: Kill Ingryd Eccel , Arikawa Marina Ayumi Simão , Salame Lucas Alberto Athias , Moreira Júlia Azman
Published: November 2024

Esta revisão de literatura reuniu livros da medicina e artigos publicados preferencialmente em inglês, espanhol, francês e português nos últimos cinco anos nas base de dados PUBMED e SciELO com o objetivo principal de revisar a Síndrome de Prader-Willi (SPW), indicando seu diagnóstico, manifestações clínicas e manejo. A SPW é uma condição genética rara caracterizada por hipotonia neonatal, seguida de hiperfagia e obesidade. Indivíduos com SPW frequentemente apresentam deficiência intelectual e distúrbios comportamentais. A SPW é causada pela deleção ou inativação de genes paternos no cromossomo 15. O diagnóstico envolve avaliação clínica e testes genéticos. O manejo da SPW requer uma equipe multidisciplinar, com foco em intervenção nutricional, terapia hormonal e comportamental. O acompanhamento médico regular é crucial para o manejo das complicações e otimização da qualidade de vida. Apesar dos desafios, intervenções precoces e suporte adequado permitem que indivíduos com SPW alcancem seu potencial máximo e tenham uma vida plena.
A non-stationary climate-informed weather generator for assessing future flood risks
Authors: Nguyen Viet Dung , Vorogushyn Sergiy , Nissen Katrin , Brunner Lukas , Merz Bruno
Published: November 2024

Abstract. We present a novel non-stationary regional weather generator (nsRWG) based on an auto-regressive process and marginal distributions conditioned on climate variables. We use large-scale circulation patterns as a latent variable and regional daily mean temperature as a covariate for marginal precipitation distributions to account for dynamic and thermodynamic changes in the atmosphere, respectively. Circulation patterns are classified using ERA5 reanalysis mean sea level pressure fields. We set up the nsRWG for the central European region using data from the E-OBS dataset, covering major river basins in Germany and riparian countries. The nsRWG is meticulously evaluated, showing good results in reproducing at-site and spatial characteristics of precipitation and temperature. Using time series of circulation patterns and the regional daily mean temperature derived from general circulation models (GCMs), we inform the nsRWG about the projected future climate. In this approach, we utilize GCM output variables, such as pressure and temperature, which are typically more accurately simulated by GCMs than precipitation. In an exemplary application, the nsRWG statistically downscales precipitation from nine selected models from the Coupled Model Intercomparison Project Phase 6 (CMIP6), generating long synthetic but spatially and temporally consistent weather series. The results suggest an increase in extreme precipitation over the German basins, aligning with previous regional analyses. The nsRWG offers a key benefit for hydrological impact studies by providing long-term (thousands of years) consistent synthetic weather data indispensable for the robust estimation of probability changes in hydrologic extremes such as floods.
Stratospheric Aerosol Intervention Experiment for the Chemistry-Climate Model Intercomparison Project
Authors: Tilmes Simone , Bednarz Ewa M. , Jörimann Andrin , Visioni Daniele , Kinnison Douglas E. , Chiodo Gabriel , Plummer David
Published: November 2024

Abstract. A new Stratospheric Aerosol Intervention (SAI) experiment has been designed for the Chemistry- Climate Modeling Initiative (CCMI-2022) to assess the impacts of SAI on stratospheric chemistry and dynamical responses and inter-model differences using a constrained setup with a prescribed stratospheric aerosol distribution and fixed sea-surface temperatures (SSTs) and sea-ice. This paper describes the details of the experimental setup and the prescribed aerosol distribution. Furthermore, we discuss differences in the Whole Atmosphere Community Climate Model (WACCM6) results between the interactive stratospheric aerosol configuration with coupling to land, ocean, and sea ice that was used to produce the stratospheric aerosol distribution and the results of the constrained SAI experiment. With this, we identify and isolate the stratosphere-controlled SAI-induced impacts from those influenced by the coupling with the ocean. We confirm earlier suggestions that the SAI-induced positive phase of the Northern Atlantic Oscillation in winter, with the corresponding winter warming over Eurasia, is directly driven by the effect of SAI on the stratosphere-troposphere coupling. We further show that the resulting stratospheric responses are largely similar between the fully coupled and constrained experiments, demonstrating the suitability of the simplified setup to study impacts in the stratosphere in a multi-model framework. Only small differences arise in the stratospheric ozone and dynamical SAI responses between the two experiments due to minor differences in the aerosol distributions and their coupling with local changes in temperatures, upwelling, and chemistry, alongside interactive coupling with the ocean and sea ice.
Radiative and climate effects of aerosol scattering in long-wave radiation based on global climate modeling
Authors: Drugé Thomas , Nabat Pierre , Michou Martine , Mallet Marc
Published: November 2024

Abstract. The few studies that considered aerosol scattering in the long-wave (LW) typically relied on artificially increasing it. In order to analyze the radiative and climatic effects of physically accounting for this process, simulations have been performed with the ARPEGE-Climat atmospheric global climate model over the 1985–2014 period, using the ecRad radiation scheme, and updated optical properties of coarse aerosols, particularly dust. The evaluation of the model coarse aerosol optical depth (AOD) against AERONET data over North Africa and Arabian Peninsula shows the ability of ARPEGE-Climat to capture spatio-temporal variations of coarse AOD, despite regional biases. The comparison of simulations with and without aerosol scattering in the LW shows that this process leads to a significant increase in downwelling surface LW radiation in dust-emitting regions (+5 W m-2 on average) between March and September, in line with the maximum coarse AOD. This increase results in a rise in minimum near-surface temperatures of up to +1 °C. It is also associated with an outgoing LW radiation decrease at the top of the atmosphere (TOA). However, during certain months and regions, near-surface temperatures can be significantly reduced due to short-wave surface radiation decreases related to increases in low-level clouds. A precipitation increase over Sahel during September linked to wetter atmospheric layers is also simulated. Neglecting LW aerosol scattering in climate simulations has therefore significant impacts on climate, notably in dust-emitting regions. Globally, the LW aerosol scattering contribution to radiation is of 0.4 W m-2 at both surface and TOA.
A parcel-level evaluation of distributed wind opportunity in the contiguous United States
Authors: Lockshin Jane , Pérez Paula , Podgorny Slater , Sizemore Michaela , Das Paritosh , Laurence-Chasen Jeffrey D. , Crook Paul , Phillips Caleb
Published: November 2024

Abstract. This study examines the potential for distributed wind (DW) energy across the contiguous United States, leveraging advancements in the National Renewable Energy Laboratory's distributed wind model, dWind. The novel modeling approach described here utilizes a high-resolution dataset and analyzes over 150 million parcels, a significant improvement from prior methods that extrapolated results from a smaller random sample. This achievement is enabled through key model performance improvements, such as transitioning to parallel processing, which reduces runtime by 97 %. This optimized, high-resolution approach allows the inspection of technology deployment potential and impact on a variety of scales tailored to individual properties and regions. The results here align with prior work showing substantial opportunity for energy generation using DW technologies. Key findings reveal a substantial increase from prior results in estimated technical and economic potential for DW. Metrics tuned to highlight economic potential also show increased incentives supporting rural adoption. Results are spatially aggregated for usability and published via the U.S. Department of Energy Wind Data Portal and a custom scenario visualization platform, aiding policymakers, industry, and property owners in assessing DW viability across various scenarios and spatial scales.
Case Law as Data : Prompt Engineering Strategies for Case Outcome Extraction with Large Language Models in a Zero-Shot Setting
Authors: Zambrano Guillaume
Published: November 2024

This study explores the effectiveness of prompt optimization techniques for legal case outcome extraction using Large Language Models (LLMs). Two state-of-the-art LLMs, LLaMA3 70b and Mixtral 8x7b, are used in a zero-shot data extraction task on a diverse dataset of 400 French appellate court decisions. The results show that LLMs exhibit remarkable efficiency in extraction tasks. Our findings indicate that baseline prompts achieve high performance metrics, with a best F1 score of 0.980 and a worst F1 score of 0.853. Optimized prompts yield varying degrees of improvement, with a best F1 score of 0.994 and a worst F1 score of 0.912. While some optimized prompts demonstrate significant improvements, others exhibit minor or even negative changes. Our results suggest that the optimization process has a non-uniform impact on performance metrics, and the effectiveness of optimized prompts depends on the specific model and dataset being used. These results underscore the significance of prompt engineering in optimizing LLM performance for Legal Information Extraction and Litigation Analytics reliability.
Suportes e barreiras às práticas físico esportivas pelos surdos: uma abordagem na cidade de Divinópolis-MG
Authors: Maria de Sousa Tenório Albuquerque Vitória , Rodrigues de Paula Otávio , Mendes dos Santos Amaral Cacilda
Published: November 2024

O objetivo deste estudo foi investigar as barreiras e suportes para o acesso do público surdo do município de Divinópolis às práticas físico-esportivas. Foram realizadas entrevistas semiestruturadas com sete participantes com deficiência, e conduzida uma análise de conteúdo. Foram identificadas 10 categorias: apoio de pais e escola; esporte na infância; gostar de esporte; interação entre surdo/PCDA e ouvintes; benefícios da prática física-esportiva; profissionais capacitados e/ou comprometidos; preconceito; acessibilidade e inclusão; constrangimento e prática esportiva sem acompanhamento profissional. Os resultados evidenciam que ações de Inclusão, Acessibilidade e Interação entre pessoas surdas e ouvintes e a capacitação/ comprometimento dos profissionais de Educação Física devem ser trabalhadas.
Autoeficácia em atletas competitivos e seus impactos na prática esportiva: revisão integrativa
Authors: Alberto Assis Souza Daniel , Pegolo de Albuquerque Paloma
Published: November 2024

Autoeficácia se refere ao julgamento do indivíduo sobre suas próprias habilidades, influenciando nas ações, emoções e expectativas do atleta. Objetivou-se caracterizar estudos sobre autoeficácia em atletas profissionais, de elite e/ou de competições de alto nível, por meio de uma revisão integrativa. Foram recuperados 12 artigos nas bases LILACS, Pubmed e SciELO. Os principais temas abordados pelos artigos envolveram a relação da autoeficácia com desempenho esportivo, repertório de habilidades no esporte, uso do autodiálogo, lesões esportivas e outras variáveis psicológicas, tendo sido encontradas apenas pesquisas quantitativas. A Psicologia pode contribuir por meio do delineamento de intervenções que favoreçam o desenvolvimento da autoeficácia e pela avaliação dessa competência.
Motivos para a inexistência de treinamento específico de goleiros de handebol no Brasil
Authors: Hellen de Barros da Cruz Julie , Carvalho Motta Tamires , Méri Santos da Silva Rose , Gustavo Bergmann Gabriel
Published: November 2024

O objetivo do estudo foi descrever os principais motivos apontados pelas equipes de handebol que não possuem treinamento específico (TEG) para goleiros no Brasil. Teve seu delineamento quantitativo, descritivo e transversal, com a amostra caracterizada como não aleatória, por conveniência, composta por treinadores de handebol do Brasil sem TEG. Foi utilizado um formulário on-line como instrumento de coleta de dados e a amostra final contou com 55 respondentes. Como principais motivos para a inexistência de TEG, 67,3% relataram tempo insuficiente para contemplar e 52,7% mencionaram a falta de profissional responsável. Além disso, ainda que em menor frequência, 43,7% aderiram o motivo a algum fator relacionado com formação profissional.
High Quality and Sustainable Development of Soil and Water Conservation.
Authors:   Northwestern A F University, Yangling, China, China, Guo Zhongsheng ,   Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources. Yangling, China, China 26, Xinong Road, Yangling,Shaanxi Province 712100.
Published: November 2024

Water and soil resources is the important resources of
the national high-quality development. Water and soil loss
affects the distribution and the productivity of forest, grass
and crops, and ultimately the quality of life and high-quality
sustainable development. China is the most serious soil
erosion country in the world, especially in the Loess Plateau.
After many years of efforts, soil and water conservation in
China has developed rapidly, the surface runoff and soil loss
in soil and water loss areas have decreased fast. However,
with the improvement of people’s living standards have been
gradually improved, people put forward higher requirements
for soil and water conservation. But now the effect of Soil and
soil protection benefits cannot meet the needs of peoples
good life for soil and water protection in the new era. In
this paper, through comprehensive analysis of relevant
literatures, author think that in the new era, high quality
and sustainable development of soil and water conservation
should be as a new goal in order to carrying out high quality
development and meet the needs of peoples good life for
soil and water protection in the new era. The theoretical
basis of high quality and sustainable development of soil
and water conservation is the new theory of soil and water
conservation. It includes that the soil and water loss refer
to the process of transferring soil and water resources from
one place to another the influences of soil and water loss on
social and social high quality development have positive and
negative effects. Soil and water conservation is to use some
methods or measures to reduce soil erosion to soil allowable
loss requirements. At the same time, we must make efficient
use of soil and water resources and minimize the loss of life
and property to develops the economy and improves peoples
income. The soil and water conservation measure must adopt
high quality and sustainable management. Only in this way can
we ensure the high quality and sustainable development of
soil and water conservation and meet peoples requirements
for soil and water conservation for a better life.
Evaluation of Carbon Emission Reduction Policies in China: A Quantitative Policy Analysis.
Authors:   Department of Management and Science, Qurtuba University of Science and Technology, KPK, Pakistan., Ullah Najm
Published: November 2024

China, as the planet’s greatest carbon polluter, assumes a
pivotal responsibility in the global combat against climate
alteration. This analysis conducts an exhaustive quantitative
examination of China’s carbon reduction programs starting
in 2010 extending till 2023, including pivotal initiatives
like the Emissions Trading System ETS, improvements in
energy productivity, and investments in renewable sources.
RESULTS REGARDING THE INFLUENCE OF GREEN MANURE USAGE ON MAIZE CROP ON ACIDIC SOILS IN THE NORTHWEST OF THE COUNTRY
Authors: Ács Peter-Balázs , Andraș Beniamin-Emanuel , Ursan Patrick-Andrei , Mondici Susana , Păcurar Ioan , Butnar Lucian , Giurgiulescu Liviu
Published: November 2024

This paper presents the efficacy of green manures in raising soil fertility and enhancing crop productivity, on the Albic Luvisols in northwestern Romania.Green manures are cover crops that provide various benefits when added to the soil. Peas are especially effective at increasing organic nitrogen in the soil, leaving behind a significant amount of 471.74 kg N(a.s.) per hectare. Regardless of the pressure from the pathogen Fusarium spp. and the pest Ostrinia n. the maize yield was not affected. The incorporated green manures especially peas, significantly raises maize yield surpassing the control with almost 3000 kg. The quality of the maize crop, specifically starch content and hectoliter weight, was not influenced by either green manure or chemical fertilization.
THE INFLUENCE OF EXTREME TEMPERATURES ON THE PHYSIOLOGY OF SOME WOODY SPECIES FROM THE SOUTHWEST AREA OF ROMANIA
Authors: Buse-Dragomir Luminita , Nedelcu Raluca
Published: November 2024

The temperature differences recorded in recent years have allowed studies to be carried out to explain how plants react to climate change. Both cultivated and wild plants are affected.In the present study, the physiological parameters of 4 woody species that grow spontaneously in the south-western area of Romania were determined: Juglans regia, Populus nigra, Morus alba and Tilia platyphyllos.The determinations indicated significant differences in the phenology of these species but also in terms of the intensity with which some vital processes are carried out.It is obvious that the studies presented cannot be generalized, but they constitute a first step in establishing the influence exerted by extreme temperatures on the analyzed plant species.
RESEARCH ON CAPITALIZING ECOLOGICAL CONDITIONS SPECIFIC TO THE PERIURBAN AREA OF THE CITY OF CRAIOVA THROUGH CULTIVATION GRAPES FOR OBTAINING D.O.C. WINES "BANU MĂRĂCINE"
Authors: Costea Dorin Constantin , Mușuroi Alexandra-Nicoleta , Mărăcineanu Liviu Cristian
Published: November 2024

The peri-urban area is located on the border between the urban and the rural environment, it has distinct characteristics that reflect the influences of both types of spaces. The Banu Mărăcine wine area is recognized as part of the wine areas with the widest vocation for obtaining wines with the right to carry the designation of controlled origin (D.O.C). Starting from these considerations, vine growers and especially the specialists from the Banu Mărăcine S.D., try to identify possibilities to maintain at a high and constant qualitative level the specific character of wine production, taking into account the climatic changes that have occurred in the last years. The present paper represents a case study regarding the results of grapevine cultivation in the Banu Mărăcine wine area, located in the peri-urban area of the city of Craiova.
ANALYSIS OF THE DIVERSITY OF SOME HOT PEPPER (CAPSICUM ANNUUM L.) POPULATIONS FROM SOUTHWEST ROMANIA ON THE BASE OF MORPHOLOGICAL AND PRODUCTION CHARACTERS
Authors: Dinu Maria , Soare Rodica , Ivan Claudia- Georgiana
Published: November 2024

This study presents the characterization of 10 local hot pepper populations selected from the existing germplasm collection within the vegetable growing laboratory of the Faculty of Horticulture in Craiova regarding morphological and productivity characters. Variability analysis indicated low to high variability for most of the characters studied. The average values ranged between 5.3 cm and 10.1 cm for fruit length, between 1.12 cm and 9.38 cm for fruit diameter, between 1.96 cm and 2.86 cm for peduncle length, and for the index of shape values were between 0.69 and 7.58, indicating a conical-elongate fruit shape in most populations. Regarding the number of fruits per plant, there was a very large variation, from 9.1 fruits/plant at V1 De Mârsani to 107 fruits/plant, and the weight of the fruit was between 2.8 g and 11.1. g, and fruit production/ha varied from 3.5 t and 21.0 t/ha. The differences between the studied populations suggest that they can be used in breeding programs for this species.
Exploring the frontiers of transcriptomics: Methods, applications, and future perspectives
Authors: Alsalloum Saleh Ali , Almulhim ‏Lujain Yousef , Almakhaita ‏Muna Ali , Alsubiee ‏Atheer , Almulhim ‏Jawaher Ibrahim , Aljaafari ‏Ola Abdullah , Alhussain ‏Jawaher , Alsadun ‏Jawaher Sadun , Alsharif ‏Maryam , Almulhim ‏Johara Abdullah , Alhayim ‏Fatimah Saad , Al-Anzi Fayez Khalaf Saif , Yamani Abdullah Mohammed Abdullah
Published: November 2024

Background: By allowing for the thorough characterization of gene expression, transcriptomics—the study of RNA transcripts generated by the genome—has transformed molecular biology and biomedical research. This area of study offers vital insights into the functioning dynamics of biological systems, cellular mechanisms, and the course of disease. The speed of transcriptomics research has increased due to developments in high-throughput sequencing technologies, especially RNA sequencing (RNA-seq), which enables researchers to examine bulk and single-cell transcriptomes with previously unheard-of resolution. Our comprehension of transcriptome data in the larger framework of omics sciences is further improved by the incorporation of bioinformatics techniques. Aim: this study is to give a thorough introduction to transcriptomics, emphasizing its methods, uses, and difficulties. It also aims to draw attention to current developments in the subject and how they affect environmental sciences, health, and medicine. Methods: Results from peer-reviewed publications published between 2020 and 2024 are combined in this study. Together with bioinformatics tools for data processing, it critically evaluates transcriptome techniques such as RNA-seq, single-cell transcriptomics, and spatial transcriptomics. With an emphasis on integrated omics, applications in ecological studies, biotechnology, and disease research are examined. Findings: Transcriptomics has greatly improved our comprehension of intricate biological processes.
Situação dos Direitos de Carbono dos Povos Indígenas, das Comunidades Locais e dos Povos Afrodescendentes em Terras e Florestas Tropicais e Subtropicais
Authors:   Rights and Resources Initiative,   McGill University
Published: November 2024

Devido ao progresso limitado na redução das emissões de carbono nos países industrializados, o interesse global no uso de soluções climáticas baseadas na natureza (SbN) nunca foi tão grande entre governos, corporações e organizações não governamentais (ONGs). Em princípio, as SbNs têm o objetivo de alavancar financiamentos multilaterais, bilaterais e privados para financiar iniciativas de proteção, gerenciamento e restauração de ecossistemas para mitigar e remover emissões de carbono e, ao mesmo tempo, gerar benefícios sociais e ambientais.

Este resumo apresenta os resultados de um estudo realizado pela Iniciativa pelos Direitos e Recursos (RRI) e pela Universidade McGill para analisar sistematicamente os direitos de carbono dos Povos Indígenas, comunidades locais e Povos Afrodescendentes em 33 países da África (11), Ásia (9) e América Latina (13). Esses países cobrem cerca de 67% das florestas tropicais e subtropicais do mundo e têm uma população rural combinada de 1,54 bilhão de pessoas, mais de 44% da população rural do mundo. Examinamos se e como os países estão atualmente protegendo os direitos necessários para que as comunidades gerenciem, controlem e se beneficiem do carbono em suas terras e tenham acesso à compensação e à justiça quando forem afetadas por iniciativas de comércio de carbono.

Para essa análise, coletamos dados sobre 35 indicadores de leis e políticas nacionais relacionadas aos direitos à terra, ao carbono e aos recursos em vários setores, incluindo direito constitucional, administração da posse da terra e leis florestais, climáticas e ambientais. Nos 33 países, nossa análise se refere às normas legais que regem 96 regimes de posse baseados na comunidade (CBTRs) identificados pelo RRI nesses países.
Apodario. Compilación de apodos del municipio de Cuauhtémoc, Colima
Authors: Vergara Mendoza Gloria Ignacia , Ceballos Esqueda Gilberto Maximiliano , González Freire José Manuel , Gutiérrez Santana Lucila
Published: November 2024

Pocos son los estudios realizados sobre los apodos, los apodados, quienes apodan y las razones por las cuales se realizó de tal o cual manera. Por ello, destaca este libro cuya relevancia se debe a la riqueza expresiva de los 250 motes reunidos, y a los distintos ángulos a partir de los cuales se efectuó su aproximación analítica.
En este Apodario, numerosos y coloridos motes animan el paisaje onomástico del municipio de Cuauhtémoc, Colima, y procuran una imagen verbalmente "apodíctica" de las comunidades de Quesería, Cuauhtémoc, Alcaraces, Buenavista, y El Trapiche. Los apodos son clasificados y analizados en función de su origen geográfico, acompañados de una ficha informativa que desglosa perspectivas distintas como la transcripción fonética, la tipología y una explicación brindada por la o el informante del origen del apodo, entre otros aspectos.
Este libro es producto del proyecto de investigación Los apodos del occidente de México, en el que participan los cuerpos académicos 49, "Rescate del patrimonio cultural y literario" y 67, "Sociedad, cultura y significación; de la Universidad de Colima.
Asia: Valores y familia vistos por el cine
Authors: Loaiza Becerra Martha , Rangel Delgado José Ernesto , Romero Ortiz María Elena , Haro Navejas Francisco Javier , Ávila Juárez José Óscar , Tapia Muro Cristina , Vásquez Sánchez Jorge Ricardo
Published: November 2024

Esta obra es fruto del esfuerzo por compartir con la comunidad académica, estudiantil y la sociedad en general, la historia, cultura, sociedad, identidad, problemas y retos de Asia, a partir del cine como herramienta ágil, flexible y multifacética que permite aprender al respecto, a través de la mirada de los directores de los filmes aquí analizados. Desde las diversas disciplinas de formación académica de las y los autores, se recuperan las propuestas cinematográficas de Japón, China, Corea del Sur y Rusia que permiten acercarse a los contextos sociales desde la cotidianidad, sus problemas y valores.
Inteligência artificial generativa: educação, acessibilidade e inclusão
Authors: Oliveira Laize Almeida de , Ferreira Francisca Campos , Cruz Karina Kelen da , Santos Antonio Marques dos , Oliveira Erlania Lima de , Martins Rafael Castelo Guedes
Published: November 2024

A Inteligência Artificial (IA) envolve dimensões baseadas nos algoritmos, programação e questões éticas da maior importância, para a humanidade, sobretudo, no que diz respeito às decisões, de máquina que impactam diretamente a vida, a saúde, a convivência social e as estruturas de estados. O presente artigo, tem por objetivo, analisar o estado da arte frente a contribuição da inteligência artificial na educação e inclusão social. Esta pesquisa utilizou dados bibliográficos, elaborada a partir de material já publicado, como livros, artigos, periódicos, internet. A análise dos artigos revela que a inteligência artificial está sendo amplamente aplicada e estudada em diversas áreas, com um foco particular na educação e medicina. A formação e capacitação dos profissionais para lidar com a IA, assim como o impacto da tecnologia na sociedade e na cultura, são temas recorrentes. Essas discussões destacam a necessidade contínua de adaptação e inovação, para maximizar os benefícios da IA e mitigar seus desafios.
A Machine Learning Framework for Legal Document Recommendations
Authors: Andrews Mat , Bromiley Patrick , Chow Elizabeth , Gibson Thomas
Published: November 2024

The management of legal documents is a paramount challenge for law firms and legal departments, necessitating efficient retrieval methods to enhance productivity and decision-making. Traditional keyword-based search techniques often fall short in addressing the complexities of legal language and context, leading to inefficiencies in accessing relevant information. This paper presents a novel machine learning framework designed specifically for legal document recommendations, aimed at overcoming the limitations of existing retrieval methods. The framework operates through a multi-stage process encompassing data collection, preprocessing, model training, and recommendation generation, leveraging both supervised and unsupervised learning techniques. This research underscores the transformative potential of machine learning in the legal domain, advocating for its adoption to streamline operations, improve client service, and foster innovation within the legal profession. The findings suggest that ongoing collaboration between legal practitioners and researchers will be crucial in refining these technologies, ensuring their relevance in an evolving legal landscape. Ultimately, this paper calls for a proactive embrace of machine learning solutions to enhance the future of legal document management and research.
A New Path to Language Education Innovation Based on Networked Smart Language Laboratories
Authors: Zhong Xing
Published: November 2024

This paper discusses the importance of networked intelligent language laboratory as a new path for language education innovation. It elaborates on its background, technical support (Internet of Things, big data, cloud computing, artificial intelligence technology), advantages (resource sharing and utilization efficiency improvement, personalized learning support, enhanced teaching interaction and feedback, environmental perception and intelligent management), innovative applications (diversified teaching models, intelligent learning assessment, integration of language practice and cultural experience), analyzes the challenges in construction (technical security and privacy protection, teacher role transformation and capacity improvement, education resource integration and quality assurance), and summarizes the research results and looks forward to future development trends, including continuous technological innovation, expanding and deepening applications, and strengthening globalization and cross-cultural communication and cooperation.
Blockchain Assisted Al‐Biruni Earth Radius Optimization with Deep Learning Model for Sustainable Healthcare Disease Detection and
Authors:   Faculty of Computer Studies, Arab Open University, Riyadh, Saudi Arabia, Omar Omar
Published: November 2024

The cybersecurity and sustainability concepts involve safeguarding and analyzing sustainable systems, providing a versatile perspective. In the extensive data landscape of sustainable healthcare systems, ensuring diagnostic and security processes poses challenges. Healthcare disease detection using Blockchain (BC) employs BC technology to boost security and precision. This system securely shares and stores patient records through BC, fostering collaboration among researchers and healthcare providers to improve disease detection accuracy. This study designs a new BC-Assisted Al‐Biruni Earth Radius Optimization with Deep Learning Model for Sustainable Healthcare Disease Detection and Classification (BAERDL-SHDDC) technique. The BAERDL-SHDDC technique presented utilizes BC to securely store patient data and employs DL models to analyze the data for the disease detection process. For disease detection, the BAERDL-SHDDC technique involves a three-stage process namely Al‐Biruni Earth Radius (AER)-based feature selection, ensemble DL classification, and hyperparameter optimization. The hyperparameters of the ensemble DL models with fractals optimizations are optimally selected using an Adadelta optimizer. The stimulation result analysis of the BAERDL-SHDDC approach shows the guaranteeing performance of the BAERDL-SHDDC algorithm over other existing techniques with greater accuracy of 98.45%, 95.22%, and 96.49% under Heart Statlog, Pima Indian Diabetes, and EEG Eyestate databases respectively
Enhancing Malicious User Recognition Using Coot Optimization Algorithm with Bayesian Belief Network for Cognitive Radio Networks
Authors:   Department of Information Systems, Faculty of Computing and Information Technology at Rabigh, King Abdulaziz University, Jeddah, Saudi Arabia, Rania Rania
Published: November 2024

As a dynamic paradigm, Cognitive radio networks (CRNs) in wireless transmission enable devices to intelligently adapt their communication parameter based on real-world spectrum availability. Spectrum sensing lies at the core of CRNs, where nodes continue to monitor the spectrum for underutilized or unused band detection. However, the presence of malicious users (MUs) has a significant impact reliability and performance of the network. MUs detection is indispensable to prevent interference or unauthorized access and ensure network integrity. Advanced techniques combining game theory, machine learning, and signal processing are used for effectively identifying and mitigating malicious activities. CRNs can ensure efficient spectrum utilization and enhance security in heterogeneous and dynamic environments by incorporating robust MU detection systems into spectrum sensing protocols. This article presents a Malicious User Recognition using the Coot Optimization Algorithm with Bayesian Belief Network (MUR-COABBN) technique for CRN. The MUR-COABBN technique exploits metaheuristics with a Bayesian machine-learning method for the classification of the MUs in the CRN. In the MUR-COABBN technique, the COA is initially used to choose better feature subsets. Moreover, the detection of MUs can be performed by the use of BBN. Finally, the parameter tuning of the BBN model is carried out using an improved seeker optimization algorithm (ISOA). The experimental evaluation of the MUR-COABBN technique takes place with respect to distinct aspects. The experimentation outcomes implied the improved performance of the MUR-COABBN methodology with other methods under distinct measures. Therefore, the MUR-COABBN model can effectually and accurately improve security in the CRN.
The Impact of Passive House Construction on Energy Consumption and Living Experience in Chongqing
Authors: Liu Yuhan
Published: November 2024

This research investigates the impact of passive house construction on energy consumption and living experience in Chongqing, China. The study involves both primary and secondary methodology, which is represented in both qualitative and quantitative formats. The primary research evidence is collected from an online questionnaire and interviews with designers and engineers in the industry. The secondary evidence is collected from a range of online sources including relevant and credible academic articles, essays and news reports, and government reports. A case study based on a passive house project in Hebei is used to compare with passive house construction in Chongqing. The key areas considered in the study are the environment, policies, and social aspects and the impact of passive house construction on the living experience of the residents. The research concludes that passive house construction has positive results from both climate and policy perspectives. In terms of climate, it is environmentally friendly and energy-efficient. The development of more policies technologies will be the main driving force or motivation for more passive house construction.
Research on the Rehabilitation Medical Space Design Update Based on the Needs of Children with Autism
Authors: Hao Wendong
Published: November 2024

Abstract: This study aims to explore and summarize the relationship between the psychological development of children with autism and the redesign of modern public medical environments, from the perspectives of their basic characteristics and needs, interior functional spaces, and interior design strategies. The research employs methods including literature analysis, field investigations, interdisciplinary studies, and comparative analysis, focusing on the logical relationship of identifying, analyzing, and solving problems. Taking the current state of rehabilitation medical environments as the starting point, the study conducts an analysis of environmental redesign. The findings indicate that updating the design of environments in autism rehabilitation institutions is of significant importance to the psychological development and therapeutic intervention for children with autism, playing a substantial role in treatment enhancement. The study also summarizes relevant design ideas and methods, providing reference and evidence for similar project research.
AI neurotechnology compatibility with Alzheimers Disease Treatment: A Review
Authors: Quan Lucas
Published: November 2024

Alzheimers Disease (AD) is one of the most ordinary kind of dementia, yet no definitive cause or cure for it is found. Currently, there are only developments in drugs or technology that can slowly help to minimize the symptoms of AD through treatment or aid in the diagnosis of this disease. The main problem is that the treatment and diagnosis of AD administered through medical professionals are prone to errors. This has created a need for methods that make the process of diagnosing AD and concluding the most effective treatment both efficient and highly accurate. This brings focus to studies in AD, more specifically neurotechnology that uses Artificial Intelligence (AI) to aid in diagnosis and process of treatment. AI has the potential to diagnose and can even work hand in hand with different AD treatments, as it is expected to analyze the best approach for individual patients for course of treatment which could lead to the cure of Alzheimers. Studies on Neurotechnologies that use AI, such as systems like Machine Learning, Deep Learning, and have yielded promising results of the potential accuracy of these systems, proving its ability to diagnose AD with high accuracy while being more efficient. With the wide variety of potential treatments of AD, it is in these situations where AI neuro technology can play a role in the deciding factor of treatment. This paper will be a comparison on these diverse types of AI systems, and which may be the best in terms of diagnosis and treatment of AD.
Reverse Inference: Decoding of Brain Activity and Cognitive Process
Authors: Huang Zirui
Published: November 2024

Cognitive neuroscientists rely on functional neuroimaging techniques and behavioral assays to investigate correlation between brain activation and cognitive processes. Researchers would also infer what cognitive process is engaged under a condition based on neuroimaging data. This is referred to as reverse inference or encoding paradigm and it has generated longstanding discussions among cognitive neuroscientists, data scientists and philosophers. The consensus is that it should be done with rigorous statistical methods and careful interpretations. Statistical methods and large collaborative databases and data processing tools have been developed to build classificatory or predictive models of reverse inference. However, these tools are not without pitfalls. The problem of cognitive process further complicates the problem since it is a latent variable and the wide discrepancy on the taxonomy and ontology of cognitive processes within the field. Online collaborative project has been set up to combat this problem, while others try to circumvent pre-established concepts by extracting latent variables from existing data or by focusing on the evolutionary prerequisite of cognition. A fundamental limitation of reverse inference is its dependency on correlational data, which lacks the explanatory power interventionist studies have. Models that seek to establish causal relation from time-series data can only provide weak inferences. Furthermore, the dynamic complexity of the brain network complicates the mechanism. This review provides an overview of reverse inference in cognitive neuroscience. It discusses advances in methods, limitations, and conceptual issues inherent within reverse inference, particularly addressing the challenges mentioned above.
A Comprehensive Review of EEG-based Braincomputer Interfaces for Attention Training
Authors: Wang Yanhao
Published: November 2024

Electroencephalography (EEG) has provided critical insights into brain activity by recording brain waves that reflect changes in neural potential across different regions. This review explores the evolution and applications of EEG-based brain-computer interfaces (BCIs), focusing on their role in attention training and treatment of attention deficit hyperactivity disorder (ADHD). BCIs, particularly non-invasive devices like Mindwave, have facilitated the development of serious games designed to enhance attention and cognitive functions through neurofeedback. The review examines various EEG-BCI-based interventions, such as Harvest Challenge and BRAVO, which have demonstrated efficacy in improving attention in children with ADHD. Additionally, advancements in EEG-BCI technology have shown promise in enhancing cognitive functions in healthy individuals, including the elderly. Despite these advancements, limitations such as small sample sizes and device accuracy issues remain. The review concludes with recommendations for developing more tailored algorithms and adapting training protocols to individual needs to enhance the efficacy of BCI-based attention training.