bluuebunny/crossref_metadata_2025 huggingface dataset:
“Azərbaycan dilinin poetik linqvistikası” fənni haqqında
Authors: H. Sədaqət
Published: November 2024

Məqalədə Azərbaycan dilinin poetik xüsusiyyətlərindən bəhs olunur. Bu məqsədlə “Azərbaycan dilinin poetik linqvistikası” fənninin məqsəd və vəzifələri izah edilir, onun konkret obyekt və predmetinin olması əsaslandırılır, poetik dilin qədim tarixə malik olması və zənginliyi qeyd edilir. Xüsusilə də Azərbaycan poetik dilinin inkişafı prosesində sözlərin semantik bolluğu, dilin daxili imkanlarının genişliyi diqqət çəkir. Məqalədə fənnin filoloji elmlər sırasına daxil edilməsi təqdir olunur, fənnin adına münasibət bildirilir. Belə ki, indiyə qədər fənnin adı “Linqvistik poetika” adlansa da, elmi-məntiqi baxımdan, bu ad düzgün sayılmır və təklif edilir ki, onun adı dəyişdirilərək “Poetik linqvistika” və ya “Poetik dilçilik” adlandırılsın. Bu fikri əsaslandırmaq üçün faktik materiallara müraciət olunur.
Determinants of Employee Turnover in Chinese-Owned Businesses in Zimbabwe
Authors: Hazel Mubango , Kumbirai Terera , Kennedy Madziniwa
Published: November 2024

Chinese enterprises have rapidly increased their presence in Zimbabwe’s commercial sector, drawing scrutiny on their employment policies. Employee turnover has been excessive in Chinese-owned enterprises due to ineffective personnel management techniques that do not retain employees. This study aimed to examine the factors influencing employee turnover in Chinese-owned enterprises in Zimbabwe. The research employed a descriptive approach to gather data using a questionnaire from a sample of 40 intentionally selected respondents. Research indicates that inadequate compensation, substandard working conditions, job unhappiness, limited career advancement, and an organisational culture that favours Chinese personnel contributed to employee turnover in Chinese-owned businesses. Consequently, these factors adversely impacted the company’s productivity, employee engagement initiatives, and heightened employees’ propensity to resign from the organisation. The research advises Chinese-owned enterprises in Zimbabwe to embrace and adhere to the host country’s employment labour norms, as well as formulate and execute comprehensive human resource plans to mitigate turnover within their companies.
Perkembangan Pelayanan Lembaga Keuangan Perbankan Syariah
Authors: Perwiranegara Abdul Haris
Published: November 2024

Perbankan syariah telah menunjukkan perkembangan yang pesat dalam beberapa dekade terakhir. Sebagai lembaga keuangan, layanan perbankan syariah berlandaskan pada prinsip-prinsip Islam yang menekankan aspek keadilan, transparansi, dan kesejahteraan bersama. Kualitas layanan yang tinggi berperan penting dalam membangun kepercayaan nasabah dan memperkuat posisi perbankan syariah di industri keuangan nasional. Penelitian ini bertujuan untuk memberikan pemahaman yang lebih mendalam mengenai standar layanan dalam perbankan syariah.
Analisis Peran Jasa Joki Dalam Pendaftaran Kartu Prakerja Di Kabupaten Kerinci
Authors: Azis Saipul , Putra Dontes , Meirison Meirison , Novia Aidil
Published: November 2024

Pre-employment Card is a program that provides training cost assistance to Indonesian people who want to improve or have new skills. However, in the process of the emergence of the phenomenon of jockey services in pre-employment card registration. The purpose of this study is to determine the role of jockey services in pre-employment card registration in Kerinci Regency. This type of research is qualitative with a case study research approach. Primary data sources were obtained through interviews and observation methods. Based on the results of the study, the role of jockey services in pre-employment card registration in Kerinci Regency generally does not violate the principles of Islamic economics. This general thing can be seen where in principle justice, fairness, transparency, and integrity and desires have been fulfilled and the distribution of pre-employment card funds and wages does not contain elements of maisir, gharar and usury.
Meningkatkan Kinerja UMKM Melalui Literasi Keuangan dan Digital di Kabupaten Tulungagung
Authors: Fauzi Irfan
Published: November 2024

Tujuan penelitian ini adalah untuk memahami hubungan antara pendidikan keuangan dan literasi digital terhadap kinerja UMKM di daerah Tulungagung. Penelitian ini mengadopsi pendekatan kuantitatif dengan menyebarkan survei secara online. Responden yang ditargetkan terdiri sepenuhnya dari pelaku UMKM di daerah tersebut. Metode pengambilan sampel yang digunakan adalah pengambilan sample acak dengan kriteria yang telah ditentukan. Ukuran sampel ditetapkan melalui perhitungan yang menghasilkan total 100 sampel. Analisis regresi langsung diterapkan sebagai metode analisis. Pada penelitian ini mendapatakn hasil pendidikan keuangan dan literasi digital memberikan pengaruh positif dan signifikan terhadap kinerja UMKM di Tulungagung.
Menilai Kinerja Keuangan Perbankan Syariah di Bursa Efek Indonesia: Pendekatan Analisis Rasio dan Common Size
Authors: Andriani Wiwik , Anelda Dinda , Surya Firman , Zahara Zahara
Published: November 2024

Penelitian ini bertujuan untuk menganalisis kinerja keuangan dan operasional bank syariah di Indonesia, dengan fokus pada PT Bank Aladin Syariah Tbk (BANK), PT Bank Syariah Indonesia Tbk (BRIS), PT Bank BTPN Syariah Tbk (BTPS), dan PT Bank Panin Dubai Syariah Tbk (PNBS) selama periode 2022-2023. Metode yang digunakan adalah analisis deskriptif kuantitatif, dengan mengumpulkan data rasio keuangan seperti Return on Assets (ROA), Return on Equity (ROE), Net Profit Margin (NPM), serta komponen aset, liabilitas, dan ekuitas. Hasil penelitian menunjukkan bahwa BRIS dan BTPS mencatatkan kinerja yang stabil dan positif, sementara BANK mengalami tantangan signifikan dalam mencapai profitabilitas. PNBS menunjukkan potensi pertumbuhan meskipun terdapat peningkatan liabilitas. Penelitian ini menyoroti pentingnya manajemen risiko dan transparansi dalam operasional bank syariah, serta implikasi kebijakan yang perlu diambil oleh regulator, khususnya OJK, untuk mendorong inovasi dan efisiensi. Novelty dari penelitian ini terletak pada analisis perbandingan kinerja bank syariah dalam konteks yang lebih luas, serta penekanan pada pentingnya indikator non-keuangan untuk evaluasi kinerja. Meskipun hasil penelitian memberikan wawasan berharga, terdapat keterbatasan terkait data yang terbatas dan periode analisis yang singkat. Penelitian ini merekomendasikan studi lebih lanjut yang melibatkan lebih banyak bank dan indikator yang lebih beragam, untuk memberikan kontribusi signifikan bagi pengembangan sektor perbankan syariah di Indonesia.
8. Sınıf Öğrencilerinin Sözcük Türlerine İlişkin Kavram Tanımları ve Kavram İmgeleri
Authors: Akçakaya Burak , Türkel Ali , Öz Koray
Published: November 2024

‘Kavram tanımı’ ve ‘kavram imgesi’ terimleri ilk kez 1980 yılında Vinner ve Hershkowitz tarafından matematik alan yazınında kullanılmıştır. ‘Kavram tanımı’, bir kavramı ayrıntıya girmeden doğru ve genel olarak açıklayan sözcükler bütünüdür. ‘Kavram imgesi’; bir kavramın bireyin zihninde çağrıştırdığı tüm zihinsel görüntüleri, imgeleri, işlemleri, ilişkileri, süreçleri ve kavrama ait özellikleri kapsayan bilişsel yapının toplamıdır. Bir kavram bireyin zihninde tek bir biçimde yer etmez; ilgili kavrama ait sözel ifadeler, görseller, duyumlar, tutumlar, anılar, çağrışımlar gibi kavrama ait pek çok öge zihinde barındırılır. Çalışmada 8. sınıf öğrencilerinin sözcük türlerine ilişkin kavram tanımları ve kavram imgeleri incelenmiştir.
Bu çalışmada nitel araştırma yöntemlerinden olgubilim deseni temel alınmıştır. Açık uçlu sorularla kavram imgeleri diğer öğrencilerden farklı olanlarla yüz yüze görüşmeler yapılmıştır. Araştırılacak kavram alanı belirlenirken uzman ve öğretmen görüşleri alınarak Türkçe öğretiminde güçlük yaşanan kavramların neler olduğu sorulmuştur.
Araştırmada şu sonuçlar göze çarpmaktadır: Doğru kavram imgeleri, daha çok zamirlerde görülürken isim ve zarflarda daha az görülmektedir. Doğruya görece yakın kavram imgeleri, daha çok isimlerde görülürken zamirlerde daha az görülmektedir. Doğrudan oldukça uzak kavram imgeleri, daha çok sıfat ve zarflarda görülürken ünlemlerde daha az görülmektedir. En çok yanıtsız bırakılan sözcük türü edatlar, en az yanıtsız bırakılan sözcük türüyse isimlerdir.
AUDIÊNCIA DE CUSTÓDIA E RISCOS À SEGURANÇA:ANÁLISE CRÍTICA DO DIREITO PUNITIVO
Authors: Sena Cristiana Nascimento , De Souza Inara Luzia Moraes , Albuquerque Lorena de Figueiredo , Cavalcante Paula Fernanda Oliveira , De Oliveira Qissia Almeida , Batalha Thaian Guimarães da Silva
Published: November 2024

This article examines custody hearings from the perspective of the right to punish and public security challenges, highlighting their role in protecting detainees' fundamental rights and reducing unnecessary pretrial detention. The analysis reveals the complex relationship between punitive law and prison overcrowding, which undermines the effectiveness of the penal system and creates inhumane incarceration conditions. Additionally, resocialization is discussed as a core goal of the penal system, emphasizing that punishment should go beyond mere imprisonment to promote social reintegration. The study also explores how public perception and media influence trust in custody hearings, impacting public opinion and criminal policies. The conclusion advocates for reforms in punitive law to balance public security with respect for human rights, aiming for a more just and humane justice system.
Performance Evaluation of FPGA-Based Design of Modified Chua Oscillator
Authors: Taşdemir Muhammed Furkan , Litvinenko Anna , Koyuncu İsmail , Capligins Filips
Published: November 2024

The chaotic systems are one of the most important areas that increasing the popularity and are actively used in several fields. One of the most essential structures in chaotic systems is chaotic oscillator which generates chaotic signals. IQ-Math and floating point number systems are one of the preferred number standards. Presented in this study, the Modified Chua chaotic oscillator has been designed to work on FPGA chips using fixed point and floating point number systems. Euler numeric algorithm has been used for the design of the Modified Chua chaotic oscillator. The first section of the study, Modified Chua chaotic system based on fixed point has been composed the model in the Matlab Simulink and transformed to VHDL with the help of Matlab HDL Coder Toolbox. The second section of the study, Modified Chua chaotic oscillator has been designed with VHDL based on floating point. Modified Chua chaotic oscillators which are composed with two different number standards have been tested using Xilinx ISE Design Tools in VHDL. Modified Chua chaotic oscillators which have two different numbers standards and designed, are synthesized for Virtex-6 on ML605 FPGA development board with Xilinx ISE Design Tools 14.2 program. Values that are achieved from the process of synthesizing and maximum operating frequency have been presented. As a result, the study has obtained that fixed point number standard maximum operating frequency is 50.242 MHz and floating point number standard maximum operating frequency is 273.631 MHz.
CIRURGIA PARENDODÔNTICA COMO OPÇÃO DE INTERVENÇÃO PARA INSUCESSOS DE TRATAMENTO ENDODÔNTICO: REVISÃO DE LITERATURA
Authors: Lago Mylenna Cristina de Sousa , Moraes Thaís Gabrielle Chaves de , Melo Marcilio Oliveira , Linhares Helton Diego Dantas , Verde Giselle Maria Ferreira Lima
Published: November 2024

A Endodontia trata da saúde da polpa dental e dos tecidos periapicais, buscando desinfectar e modelar os canais radiculares. Quando o tratamento endodôntico não resolve o problema, a cirurgia parendodôntica surge como alternativa, sendo planejada para remover infecções persistentes. Realizar uma revisão bibliográfica sobre a ineficácia do tratamento endodôntico e a utilização da cirurgia parendodôntica como alternativa de intervenção. Trata-se de uma revisão de literatura, com artigos publicados nos últimos dezesseis anos, na língua portuguesa, inglesa e espanhola, utilizando os Descritores em Ciência da Saúde, com amostra final de 19 artigos. Os resultados analisados indicam que a cirurgia parendodôntica é uma alternativa eficaz, sendo amplamente indicada em casos de insucesso endodôntico, desde que bem planejada e associada a técnicas adequadas, além de materiais biocompatíveis. Existem diversas técnicas que incluem apicectomia, curetagem e remoção de instrumentos fraturados, com taxas de sucesso elevadas quando realizadas por profissionais capacitados. Conclui-se que a cirurgia paredodôntica é uma excelente escolha nos casos em que as lesões periapicais persistem após tratamento endodôntico convencional e retratamento, o que deixa claro que deve ser sempre acompanhada de uma bom diagnóstico e plano de tratamento adequado, e o pós-operatório é crucial.
ESTUDO EPIDEMIOLÓGICO DA TOXOPLASMOSE GESTACIONAL NO ESTADO DO PARANÁ DE 2019 A 2023
Authors: Matrone Isabelle de Almeida , Tuneli Yanca Spirandelli , Govatiski José Rafael , Alves Vittoria de Grandi Decarli , Madureira Eduardo Miguel Prata , Salvi Carollina Dall'Asta Miotto
Published: November 2024

Este estudo teve como objetivo analisar o perfil epidemiológico da toxoplasmose gestacional no estado do Paraná entre 2019 e 2023, investigando a prevalência da doença, características demográficas das gestantes afetadas e padrões de diagnóstico e tratamento. Observou-se uma concentração significativa de casos no primeiro trimestre de gestação, reforçando a importância do rastreamento precoce para reduzir a transmissão vertical e complicações fetais. A maior prevalência foi identificada entre mulheres de 20 a 39 anos, sugerindo que fatores comportamentais, ambientais e socioeconômicos influenciam a disseminação da infecção. Mulheres com ensino médio apresentaram maior incidência, o que destaca a necessidade de campanhas educativas direcionadas a populações vulneráveis. A maioria dos casos envolveu pacientes brancas, apontando potenciais desigualdades no acesso ao diagnóstico e tratamento. Embora 72,4% dos casos tenham evoluído para a cura, a significativa proporção de casos sem desfecho registrado (27,5%) revela lacunas no acompanhamento clínico e na vigilância epidemiológica. Este estudo sugere a melhoria dos sistemas de notificação, o fortalecimento de protocolos de tratamento e a integração de ações de saúde pública, educação e saneamento. A abordagem contínua de prevenção, aliada a boas práticas de higiene e segurança alimentar, é essencial para melhorar os desfechos materno-fetais a longo prazo.
BRUXISMO E ALTERAÇÃO DE SONO NA CRIANÇA: REVISÃO DE LITERATURA
Authors: Damasceno Emme Caroline Santos , Cruz Márcia Regina Soares , Neves Tereza Maria Alcântara , Rego Isabel Cristina Quaresma , Araújo Tainá de Castelo Branco , Monte Thiago Lima
Published: November 2024

Introdução: O bruxismo infantil, caracterizado pelo ranger dos dentes, impacta a qualidade do sono e a saúde das crianças. Está associado a distúrbios do sono, como apneia obstrutiva, e o tratamento precoce é essencial para melhorar o bem-estar infantil e evitar complicações futuras. Objetivo: Esta revisão analisa a relação entre bruxismo e alterações no sono em crianças, explora fatores associados e revisa abordagens terapêuticas, visando oferecer uma visão geral das evidências e sugerir direções para intervenções e pesquisas futuras. Metodologia: A busca bibliográfica abrangeu bases como PubMed, SciELO e Google Scholar, usando termos como "bruxismo infantil" e "distúrbios do sono". Foram incluídos artigos de revisão, estudos clínicos e pesquisas sobre a prevalência do bruxismo e sua relação com distúrbios do sono, além de estratégias de manejo. Resultados: A revisão revelou que a prevalência de bruxismo em crianças varia entre 15% e 30%. Aproximadamente 40% das crianças com bruxismo também apresentam distúrbios do sono, incluindo apneia obstrutiva. Estudos indicam que intervenções, como dispositivos odontológicos e abordagens comportamentais, reduzem a frequência de bruxismo em até 60%. Conclusão: O bruxismo em crianças afeta o sono e a saúde geral. Intervenções precoces são essenciais para melhorar a qualidade de vida. Futuros estudos devem investigar tratamentos eficazes e os mecanismos subjacentes.
Numerical Investigation of Parameters Influencing Back-Thrust Development in Outer Wedge Fronts of Fold-and-Thrust-Belt Systems
Authors: Mahmoodpour Saeed , Duschl Florian , Drews Michael C.
Published: November 2024

Abstract. Thrusting in fold-and-thrust belts can manifest in different styles. Here we investigate the parameters influencing back-thrust development over fore-thrust development at the frontal of fold-and-thrust belts using numerical geomechanical forward modelling. We vary the strength of the material involved, dip and friction of the décollement and displacing boundary conditions to examine the impact of these properties on the back-thrust development. The results of this numerical sensitivity analysis reveal that back-thrusting mainly increases with increasing material strength and decreasing friction coefficient of the décollement. Décollement dip has a less prominent impact on back-thrusting, but decreasing the décollement ‘s dip angle enhances back-thrusting likelihood. In summary, we find that the contrast between the work necessary to shear the wedge material and the work necessary to slide along the décollement is the main driver for initiating back-thrusting (high contrast) over fore-thrusting (low or even negative contrast), which compares well with field observations. In addition, we also investigate and discuss the effect of a pure lateral displacement rate boundary condition vs. a coupled lateral and along-décollement displacement rate boundary condition on numerical simulations of back-thrusting development.
Linking Weather Regimes to the Variability of Warm-Season Tornado Activity over the United States
Authors: Graber Matthew , Wang Zhuo , Trapp Robert J.
Published: November 2024

Abstract. The contiguous United States (CONUS) experiences considerable interannual variability in tornado activity. The high impacts of tornadoes motivate the need to better understand the link between seasonal tornado activity and large-scale atmospheric circulation, which may contribute to better seasonal prediction. We employed K-means clustering analysis of 500 hPa geopotential height (500H) daily anomalies from the ERA-5 reanalysis and identified five warm-season weather regimes (WRs). Certain WRs are shown to strongly affect tornado activity, especially outbreaks, due to their relationship with environmental parameters including convective available potential energy (CAPE) and vertical wind shear (VWS). In particular, WR-B, which is characterized by a three-cell wave-like pattern with an anomalous low over the central-CONUS, is associated with enhanced CAPE and VWS in tornado-prone regions and represents a tornado-favorable environment. Persistent WRs, those lasting for ≥5 consecutive days, are associated with 76 % of all tornado outbreaks (days with >10 EF-1+ tornadoes) since 1960, with a persistent WR-B accounting for about 30 % of all tornado outbreaks. The impacts of WR persistence on tornado activity anomalies, however, are found to be asymmetric: compared to non-persistent WRs, persistent WRs amplify positive tornado activity anomalies but may not further enhance negative tornado activity anomalies. An empirical model using WR frequency and persistence captures the year-to-year variability of warm-season tornado days and outbreaks reasonably well, including some years with high-impact outbreaks. Our study highlights the potential application of WRs for better seasonal prediction of tornado activity.
Mechanisms of the Overturning Circulation in the Northern Red Sea, more than Convective Mixing
Authors: Eyouni Lina , Kokkini Zoi , Zarokanellos Nikolaos D. , Jones Burton H.
Published: November 2024

Abstract. The northern Red Sea (NRS) is where Red Sea Outflow Water and, occasionally, Red Sea Deep Water, are formed. Glider observations are used to describe the formation mechanisms and pathways of the intermediate waters in the NRS in late winter from 31 January to 18 April 2019. Utilizing glider observations, atmospheric reanalysis products, and satellite datasets, we evaluated the mesoscale activity and the atmospheric conditions that contribute to outflow water formation. The cyclonic circulation in the region surfaces dense water, which exposes it to the atmosphere, ventilating the water column and contributing to phytoplankton growth (enhancement of chlorophyll concentration) due to the nutrients upwelled into the euphotic zone. Subduction of this water in the 3-dimensional cyclonic circulation transported oxygenated, elevated chlorophyll water to depths between 150 m and 250 m along the 28.2 kg/m3 isopycnal. Unlike previous observations, in late February, a strong anticyclonic circulation blocked the inflow of warmer, fresher water into the region. It was accompanied by a negative heat flux and an uplifting of dense water to the surface. Net cooling through mid-March cooled the incoming surface waters from the south. At the end of the observational period, the intrusion of warmer, fresher waters from the south coincided with the re-establishment of cyclonic circulation and capped the dense surface water that had formed during March. These observations demonstrate that multiple processes contribute to Red Sea Outflow Water formation - convective mixing, cyclonic uplifting of dense water, subduction, and meso(submeso-)scale processes.
Volcán de Fuego (Guatemala) monitoring with the Normalized Hotspot Indices (NHI) tool
Authors: Genzano Nicola , Saballos José Armando , Gutierrez Wendel , Marchese Francesco
Published: November 2024

Abstract. Volcán de Fuego is a stratovolcano located in Guatemala among the most active in the world. In this work, we investigate its eruptive activity from space by means of the Normalized Hotspot Indices (NHI) algorithm. The latter runs operationally under the Google Earth Engine (GEE) platform providing information on active volcanoes at global scale by means of daytime Sentinel 2 MSI (Multispectral Instrument) and Landsat 8/9 OLI/OLI2 (Operational Land Imager) data. In study, we present the results of a time series analysis performed by investigating 40 years of Landsat observations through the NHI algorithm. Results show that during the major periods of thermal activity (e.g., 2000−2003; 2012−2013; 2015−2018) the Volcán de Fuego generated extended lava flows, which were well identified and mapped by satellite. In addition, periods of reduced thermal activity (e.g., 2022−May 2024) marked by NHI were in good agreement with information provided by independent sources. The accurate localization and mapping of high-temperature features, and the characterization of different eruptive phases, demonstrate that the NHI algorithm, through the GEE-App available online (https://sites.google.com/view/nhi-tool/nhi-tool-for-volcanoes), may support scientists also in the monitoring of frequently active volcanoes such as the Volcán de Fuego, providing information about changes of thermal volcanic activity that could precede future and more dangerous eruptions.
Training for Emergencies - How Germany is Preparing for Large-Scale Emergencies Using the EUROMED 2024 Civil Protection Exercise as an Example
Authors: Gstaiger Veronika , Machinia Nils , Merkle Nina , Rosenbaum Dominik , Nippold Ronald , Muehlhaus Manuel , d’Angelo Pablo , Henry Corentin , Yuan Xiangtian , Bahmanyar Reza , Kurz Franz , Krieg Christa-Maria
Published: November 2024

Abstract. Every year, numerous major events with thousands of participants take place around the world, for which extensive safety measures are taken to ensure the well-being and safety of visitors. Nevertheless, incidents that lead to injuries and deaths occur time and again. This year, Germany is looking forward to the UEFA EURO 2024, an international football championship for which the host country, Germany, has made extensive preparations on several levels. One component of this is the Medical Task Force (MTF) of the Federal Office of Civil Protection and Disaster Assistance (BBK), which has trained a possible medical service deployment in the event of a mass casualty incident with a specially coordinated series of exercises. The extent to which current remote sensing data can make a useful contribution and be meaningfully integrated was analyzed during the large-scale EUROMED exercise with the help of an airborne camera system on board a helicopter. The system provided up-to-date aerial images of the exercise site, but was also used to record the traffic situation during the transfer of the vehicle convoys to the exercise site. In addition, state-of-the-art AI-based image analysis methods were tested on site and the results were provided and evaluated. An important operational exercise to bring science and practice together step by step in order to be better prepared for an emergency.
Deep network based approaches to mitigate seasonal effects in SAR images for deforestation monitoring
Authors: Neves Carla N. , Ortega Adarme Mabel X. , Feitosa Raul Q. , Doblas Prieto Juan , Giraldi Gilson A.
Published: November 2024

Abstract. Most deforestation monitoring programs are based on optical images, which are severely affected by clouds, especially in tropical regions. As an alternative, Synthetic Aperture Radar (SAR) data are minimally affected by atmospheric conditions. However, one of the challenges inherent in such approaches is the effect of seasonal rainforest variations over the SAR images. Recently proposed stabilization algorithms mitigate this effect with significant accuracy gains, however, at the cost of higher computational resources, needed to accommodate long temporal SAR image sequences. This work addresses this issue and presents two alternative solutions that attain similar or better accuracy at a much lower computational requirements. One solution is based on a ResUnet, while the second combines an LSTM and a UNet. Both approaches were tested using raw and stabilized pairs as well as raw sequences. Experiments have indicated that both approaches can mitigate the seasonality effect using a much shorter SAR image sequences than modern stabilization methods require. The results with the multitemporal input outperformed those with the preprocessed bitemporal set by 4.3% in Recall, 1.7% in Precision, and 2.7% in F1-Score, also delivering the best deforestation probability maps.
UAV imaging for spectral characterization of Coffee Leaf Miner (Leucoptera coffeella) infestation in the Cerrado Mineiro region
Authors: Orlando Vinicius Silva Werneck , Galo Maria de Lourdes Bueno Trindade , Martins George Deroco , Lingua Andrea Maria , Andaló Vanessa
Published: November 2024

Abstract. Brazil, the world's largest coffee producer, faces challenges managing the coffee leaf miner (Leucoptera coffeella), a significant pest. This study suggests remote sensing for pest control decisions. Two experimental areas in the Cerrado region of Minas Gerais State were analyzed to spectrally characterize infested plants and estimate the number of mines per plant. Results show the ability to differentiate infested plants with greater reflectance variance in the near infrared at 850nm. The performances of the three machine learning algorithms were compared. Determining the number of mines in the group of most infested plants demonstrated slightly higher precision, achieving an RMSE of 22.69% using the Support Vector Machine algorithm. Conversely, the group of least-infested plants obtained the best result with the Random Forest algorithm, achieving an RMSE of 32.47%. These promising results indicated that CLM can be detected using aerial multispectral imaging data.
Evaluation of burning detection using modified VGG19 for LULC classification changes
Authors: Roberto Mateus Freire , Faria Junior Clodoaldo Souza , Pereira João Domingos Augusto dos Santos , Decanini José Guilherme Magalini dos Santos , Freitas Moisés José dos Santos
Published: November 2024

Abstract. This study aims to evaluate the effectiveness of a modified architecture of convolutional neural network (CNN) VGG19 for detecting fires and changes in land use and land cover classification (LULC). Remote sensing data from the Landsat 8 Operational Land Imagery (OLI) satellite was used to collect images from two distinct regions, one of which was used to obtain a dataset containing 1000 labeled images, and the other region was used to perform inference and verify the generalization of the model in an area with a high annual occurrence of fires. Analyses were conducted using a time series of normalized difference vegetation index (NDVI) and complementary cumulative distribution function (CCDF), to determine the potential for analysis in that area and define the periods of burning, pre-burning and post-burning. The VGG19 architecture was modified to maintain the input sizes of the images, resulting in a significant increase of 20.90 percentage points in the F1 score compared to the original architecture, as well as a 68.76% reduction in convergence time. In addition, the Gradient-weighted Class Activation Mapping (Grad-CAM) technique was used to improve the interpretability of the model at the moment of inference. The proposed methodology offers an approach for detecting burns by altering the LULC classification, and the modified VGG19 showed superior results.
Research on Spatial Pattern and Accessibility of Traditional Villages-Taking Henan Province as an Example
Authors: Tian Hongyun , Liu Xianglei , Wang Runjie
Published: November 2024

Abstract. Chinese culture has a long history. Traditional villages carry the breath of history. The great cultural attraction of traditional villages to people and the implementation of rural revitalization policies, it makes the attention to traditional villages gathered. Henan Province has a deep cultural heritage, he has many traditional villages, widely distributed. Therefore, it is particularly important to study the spatial pattern and accessibility of national-level traditional villages in Henan Province. This study takes 275 national-level traditional villages in Henan Province as research objects, using GIS analysis with accessibility to study the spatial pattern of traditional villages in Henan Province and to demonstrate the accessibility of traditional villages in prefectural-level cities in Henan Province at the municipal scale. Studies have shown that the spatial pattern and accessibility of the distribution of traditional villages in Henan Province are closely related to many factors (transportation road network, distance from the central city, etc.). The accessibility values of traditional villages in each prefecture-level city vary greatly, indicating that there are obvious differences in the accessibility of traditional villages in Henan Province. It intuitively reflects the spatial distribution and accessibility of traditional villages in Henan Province, with a view to providing a reference for the tourism development of traditional villages. Providing an analytical basis for promoting the optimal allocation of traditional village resources.
A Study on the Cooling Impact of the River Yamuna and its Surrounding LULC: A Case Study of New Delhi, India
Authors: Verma Arpit , Agrawal Sonam
Published: November 2024

Abstract. The unplanned growth of urban cities has adversely affected the thermal conditions. The Land Use and Land Cover (LULC) present in urban areas significantly impacts the thermal conditions of the surrounding environment. This study investigated the cooling effect of river in dense urban environments. It is conducted on the Yamuna river that flows through New Delhi, the capital city of India. The River Cooling Intensity (RCI) and River Cooling Range (RCR) assessment has been done for the summer season of May 2023 with the help of Landsat 8 images. The RCI ranged from 3.58°C to 1.16°C while the RCR varied from 1320 m to 360 m. It is observed that the river cooling effect is higher in the built-up class while the vegetation class weakens the effect of river cooling intensity and range. Zonal mean temperature varies from 32.02°C to 34.82°C according to the LULC distribution. This study provides valuable insights into the relationship between river cooling and temperature regulation according to the LULC classes. It also establishes the presence of an urban cool island inside the city region due to the river, as the mean temperature of the river surrounding (33.83°C) was lower than that of the city (35.73°C).
Unleashing the Dynamic Strategies in the Era of Change – A Spotlight on the ISPRS Student Consortium's Global Contributions
Authors: Yadav Yogender , Thapa Laxmi , Pucino Nicolas , Kushwaha Sunni Kanta Prasad , Lagahit Miguel Luis Rivera , Okolie Chukwuma John
Published: November 2024

Abstract. ISPRS Student Consortium (ISPRS SC) has played a significant role in bringing students and young researchers closer to the field of remote sensing and photogrammetry in the evolving landscape of geospatial sciences. Innovative strategies and events have been employed by the ISPRS SC to address contemporary challenges and harness emerging opportunities in the field of photogrammetry and remote sensing. Through an analysis of the global contributions of ISPRS SC, ranging from research initiatives to the online webinar series, this paper underscores the consortium's commitment to fostering collaboration, innovation, and knowledge exchange among young scholars and professionals worldwide. The paper highlights key thematic areas addressed by ISPRS SC such as advancements in remote sensing technologies, geospatial data analysis, and applications in diverse domains including environmental monitoring, agriculture, urban planning, and disaster management. Moreover, in this paper, we emphasize the role of the consortium in nurturing future leaders in geospatial sciences through ISPRS SC mentorship programs, networking opportunities, and capacity-building initiatives. By highlighting the initiatives led by the ISPRS Student Consortium, this paper underscores the key role of youth-driven innovation for positive change and shaping the future of geospatial sciences on a global scale.
Analyzing Monterrey blue/green infrastructure for the mitigation of heat islands using Earth Observation and WUDAPT method
Authors: Zapata Wah Ivone Guadalupe , Yépez Rincón Fabiola Doracely , Huerta-García Roberto E.
Published: November 2024

Abstract. The Metropolitan Area of Monterrey has grown excessively along with its population in recent decades, resulting in an urban area with problems of distribution of spaces and services. In addition to this, factors such as pollution resulting from industrial activities and the reduction of green areas are related to the increase in temperatures in the area and the creation of urban heat islands, which are mitigated by the cooling action provided by the green/blue infrastructure of urban rivers. Because the rivers in the study area do not have a continuous channel throughout the year and the water supply problems that have recently worsened due to the drought in the north of the country, the riparian vegetation of its 3 rivers (Pesqueria, Santa Catarina and La Silla) plays a crucial role in reducing temperatures by acting as a natural heat sink, so its conservation and restoration is essential. In this research, the influence of rapid urbanization on the deterioration of rivers during 2003, 2013 and 2021 was evaluated using Google Earth Engine and the WUDAPT scheme for local climatic zones, finding that there is a correspondence between local climatic zones and fluctuations in temperature. The results obtained over a period of approximately two decades indicate that natural climate zones register lower temperatures compared to impervious surfaces, and that there is also considerable variation between areas with dense green/blue infrastructure and natural covers with little or no vegetation, since the latter have temperatures similar to those of the built classes.
Robust Multi-modal Remote Sensing Image Semantic Segmentation Using Tuple Perturbation-based Contrastive Learning
Authors: Dai Jinkun , Zhou Liang , Duan Keyi , Zhao Yangang , Ye Yuanxin
Published: November 2024

Abstract. Deep learning models exhibit promising potential in multi-modal remote sensing image semantic segmentation (MRSISS). However, the constrained access to labeled samples for training deep learning networks significantly influences the performance of these models. To address that, self-supervised learning (SSL) methods have garnered significant interest in the remote sensing community. Accordingly, this article proposes a novel multi-modal contrastive learning framework based on tuple perturbation. Firstly, a tuple perturbation-based multi-modal contrastive learning network (TMCNet) is designed to better explore shared and different feature representations across modalities during the pre-training stage and the tuple perturbation module is introduced to improve the network’s ability to extract multi-modal features by generating more complex negative samples. In the fine-tuning stage, we develop a simple and effective multi-modal semantic segmentation network (MSSNet), which can reduce noise by using complementary information from various modalities to integrate multi-modal features more effectively, resulting in better semantic segmentation performance. Extensive experiments have been carried out on two published multi-modal image datasets including optical and SAR pairs, and the results show that the proposed framework can obtain superior performance of semantic segmentation than the current state-of-the-art methods in cases of limited labeled samples.
Examining the impact of incivility and intolerance on participation in social media discussions: An experimental investigation
Authors: Oz Mustafa , Greeves Scott
Published: November 2024

This study investigates how incivility and intolerance impact participation in social media discussions by examining the emotions they evoke. An online experiment (N=1,192) was conducted where participants were exposed to civil, uncivil, and intolerant conditions through simulated Twitter conversations. The study aimed to determine which emotions — anger, anxiety, and disgust — are triggered under these conditions and how these emotions influence individuals’ willingness to participate in social media discussions. Results indicated that anger increased participation in uncivil conditions but had a reverse effect in intolerant conditions, reducing participation. Participants exposed to intolerant comments felt higher levels of disgust and anxiety, leading to a significant decrease in their willingness to participate. Conversely, civil discussions did not elicit strong negative emotions and thus did not significantly impact participation. These findings highlight the nuanced effects of different types of incivility on emotional responses and subsequent engagement in online discussions. The study underscores the importance of distinguishing between uncivil and intolerant discourse to understand their distinct impacts on social media participation.
Innovation amnesia: Technology as a substitute for politics
Authors: Schneider Nathan
Published: November 2024

This paper outlines a theory of amnesia in the face of innovation: when apparent technological innovations occasion the disregard of preexisting cultural, legal, and infrastructural norms. Innovation amnesia depends on cultural patterns that appear to be increasingly widespread: the valorization of technological innovation and the sensation of limited political space for reforming social arrangements. The resulting amnesia is by default an extension of existing structural inequalities. If innovations arise through deploying concentrated private wealth, the amnesia will likely target institutions that facilitate collective power among less powerful people. Up and down social hierarchies, however, achieving amnesia through innovation can bear irresistible allure. When other paths for structural change become mired in inertia or gridlock, amnesia may appear to be the only available pathway to reform. The purpose of a theory of amnesia is to assist affected communities in noticing it when it occurs and wielding it to their advantage, particularly through mobilizing self-governance around moments of innovation.
Uncovering coordinated cross-platform information operations: Threatening the integrity of the 2024 U.S. presidential election
Authors: Minici Marco , Cinus Federico , Luceri Luca , Ferrara Emilio
Published: November 2024

Information operations (IOs) pose a significant threat to the integrity of democratic processes, with the potential to influence election-related online discourse. In anticipation of the 2024 U.S. presidential election, we present a study aimed at uncovering the digital traces of coordinated IOs on X (formerly Twitter). Using our machine learning framework for detecting online coordination, we analyze a dataset comprising election-related conversations on X from May to July 2024. This reveals a network of coordinated inauthentic actors, displaying notable similarities in their link-sharing behaviors. Our analysis shows concerted efforts by these accounts to disseminate misleading, redundant, and biased information across the Web through a coordinated cross-platform information operation: The links shared by this network frequently direct users to other social media platforms or mock news sites featuring low-quality political content and, in turn, promoting the same X and YouTube accounts. Members of this network also shared deceptive images generated by AI, accompanied by language attacking political figures and symbolic imagery intended to convey power and dominance. While X has suspended or restricted a subset of these accounts, 75 percent ofthe coordinated network remains active, garnering substantial traction over time: The suspicious Web sites promoted by this coordinated network are shared thousands of times per day by the X user base, further amplifying their reach and potential impact. Our findings underscore the critical role of developing computational models to scale up the detection of threats on large social media platforms, and emphasize the broader implications of these techniques to detect IOs across the wider Web.
Socio-Economic Implications of Displacement on Children in Guma Local Government Area of Benue State, Nigeria
Authors: Samuel Ochinyabo
Published: November 2024

This study examined the socio-economic implication of displacement on children in Guma Local Government Area of Benue State. It specifically identified the concerns of children in the IDP camps in Guma LGA of Benue state; ascertained the various agencies addressing these concerns and, investigated and prioritized the identified concerns of these children to proffer the needs assessment to address these. This is undertaken given that in the aftermath of farmers' and herders' conflicts, children bore the brunt of the disruptive effects of the upheavals that undermined their survival rights. The study adopted a survey method that sourced primary data through the use of a structured questionnaire and employed descriptive statistics for analysis. The findings indicate that there are unaccompanied children in the camp who are not catered for. There is inadequate medical care for the children, raising concerns about malnutrition, infectious diseases, safe delivery, and infant mortality. School drop-out is also a concern as it leads to the risk of child labour, poor skills development, and vices. The study recommended that a proper record of all internally displaced persons across all indices of demographic and socioeconomic data should be taken for adequate planning and logistics. There should be effective psychological treatment for the children to help their psycho-social integration with the larger society. Access to medical care should be improved for the children and education services should be all-encompassing for the children to eradicate the school drop-out rate.
Natural Dyes: A Comprehensive Review on Medicinal Plant-based Pigments and Culinary Herbs as Flavor Enhancers
Authors: N. Vaja Payal , H. Borkhataria Chetan , S. Popaniya Hiral , J. Tank Chintankumar
Published: November 2024

The global demand for natural dyes has surged, propelled by a growing awareness of the therapeutic properties inherent in these dyes. Derived from a variety of sources such as plants, insects, animals, and minerals, natural dyes have garnered attention as safer alternatives to synthetic colorants, many of which have been banned due to their potential to cause allergy-like symptoms or pose carcinogenic risks. Notably, plant-based pigments among natural dyes exhibit a diverse array of medicinal values. This review provides an in-depth exploration of various types of dyes, highlighting the distinctions between natural and synthetic counterparts and delvloping into their wide-ranging applications. The adverse effects associated with synthetic dyes are discussed, emphasizing the need for sustainable alternatives. The paper also offers a compilation of information on synonyms, biological sources, chemical constituents, and uses found in naturally occurring dye-yielding plants, aiming to contribute to the development of pharmaceutical and cosmeceutical formulations. This comprehensive review amalgamates the realms of natural dyes and culinary herbs, offering valuable insights into their medicinal and culinary significance.
Enhancing the science in the Global transmission of Nipah virus
Authors: N. Jagtap Mayuri , T. Borade Prerana , V. Bodake Sayali , B. Darekar Avinash
Published: November 2024

Since the Nipah virus's discovery two decades ago, a great deal of knowledge has been applied to the virus's genome, pathology, and wide selectivity of transmission. The highly lethal zoonotic paramyxovirus known as the Nipah virus was first identified in Malaysia in 1998. It's a pathogen that is intimate enough to cause encephalitis caused by the current respiratory virus. The key to controlling discharge is the proactive diagnosis and use of virus management techniques. Only a small number of the 14 bat species found in Malaysia have been identified as vectors of viral transmission, affecting humans, horses, cats, dogs, and pigs. The review provides an explanation of the recent NIV outbreaks in the Philippines, Malaysia, Singapore, Bangladesh, and India. The method of transmission, the preventative and control measures used, and the available evidence following the outbreaks. The virus can also inadvertently result in large financial losses for farmers by seriously sickening animals like pigs. Additionally, it can spread from person to person. Non-invasive ventilation (NIV) is seen in the bronchiole epithelial cells during the early stages of human collapse. The anti-NIV specific IgM was found using the fastest ELISA assay, while the IgG antibody was found using an incidental IgG ELISA. These findings highlight the role that viral glycoproteins play in eliciting neutralizing antibodies, which act as potential vaccines to protect against the illness. Furthermore, there's a chance that these vaccinations will provide cross-protection against similarly related viruses.