bluuebunny/crossref_metadata_2025 huggingface dataset:
STUDIES OF MANGO SUDDEN DEATH DISEASE IN THE VICINITY OF TANDO JAM
Authors: Wagan Farhan Ali , Wagan Maqsood Ali , Miano Tanveer Fatima , shabrani Haseeb Ahmed , Chandio Najeeb Rehman , Nizamani Bilawal , Shar Hussain Ali
Published: October 2024

In this study we started the field survey activities from 17th of October 2022 towards the horticulture garden and other different grower’s field of the mango. We selected task of eighth different grower fields surrounding the Tando Jam, Such as F1Horticulture garden, F2 Malir farm, F3Gul Muhammad farm near village Gul Muhammad Thoro, F4.Nizamani farm near Tando Qaiser, F5 Talpur farm near Hussain Khan thoro, F6 Dero Imdad farm, F7 Haji Wassan farm near wassan, F8 Mir Atta Muhammad farm. The method of our survey was in zigzag method. The disease of mango sudden decline was observed almost in every filed. The disease incdisease percentage (%) was observed randomly of 10 plants from the eight (8) different field locations in the surrounding of Tando jam . The disease incidence percentage (%) was observed by using formula such as ” D1 % = ” n ” / ” N ” x 100 ” Where DI Disease incidence percent , n = Number of infected plants and N = Total number of plants observed 10 Sampling. The samples of sudden decline disease was collected in paper envelope and brought at our ARI mycology laboratory for isolation and identification of associated pathogens.
BLAST DISEASE A MAJOR THREAT TO FOOD SECURITY: A REVIEW OF PATHOGEN AND STRATEGIES TO CONTROL
Authors: Timsina Shraddha , Bhattarai Sukritee
Published: October 2024

Rice blast is caused by the fungi Magnaporthe oryzae, which belongs to the group Ascomycota. The disease cycle of rice blast begins with the infection of the plant tissue by the spores of the pathogen. The spores can be carried by wind, water, and insects, and can infect the plant at any growth stage, from seedling to the heading stage. Once the spore lands on the plant tissue, they germinate and penetrate the tissue through a specialized structure called appressoria. Inside the plant tissue, the fungus grows and produces lesions that appear as small grayish-white spots on the leaves, collar, neck, and panicle of the plant. Under favorable conditions, the lesions can enlarge rapidly, causing complete crop failure. The epidemiology of rice blasts is influenced by various factors, such as temperature, humidity, rainfall, wind, and varietal susceptibility. The pathogen can survive in the soil and plant debris for several months, providing a potential source of infection for the next crop. Several management strategies have been developed to control rice blasts, including cultural, botanical, nutrient management, biotechnological, and chemical methods. Chemical methods such as fungicides can be used to control the disease, but their use should be judicious to avoid the development of fungicide resistance and environmental pollution.
POST-HARVEST EVALUATION OF CUCUMBER, BRINJAL, AND TOMATO GENOTYPES IN THE HIGH HILL ENVIRONMENT OF LUMLE, NEPAL
Authors: Subedi Aanchal , Upadhyay Kalika Prasad , Poudel Shyam Prasad , Jaggi Kalpana , Timilsena Chandra Kanta , Basnet Resham Bahadur , Shrestha Surendra Lal
Published: October 2024

The present study was carried out to assess post-harvest losses and quality of cucumber, brinjal, and tomato in ambient conditions at DoAR, Lumle (high hill, 1700-1800 m.a.s.l) during August and September 2022. The experiment was conducted in the Randomized Complete Block Design (RCBD) with four replications in cucumber (six genotypes) and brinjal (five genotypes) whereas three replications for tomato (eight varieties and five ripening stages). For cucumber and brinjal, observations were recorded on fruit weight, fruit length, fruit diameter, total soluble solids, and titratable acidity. Fruit weight was recorded on the 2nd, 4th, 6th, 8th, 10th, 12th and 14th day of storage. Rotted fruits were discarded every alternate day. For tomatoes, observations on fruit weight, fruit diameter, fruit height, pericarp thickness, number of locules, juice content, total soluble solids, and titratable acidity were recorded at different ripening stages of tomato fruit. The experimental results revealed that the genotype HRD9 × HRD3 of cucumber had the minimum postharvest losses as no fruits were discarded during the storage. The genotype Mayalu of brinjal had the minimum postharvest losses. In the case of tomato, the genotype 31CV5 was found to have superior postharvest quality.
Microglia are essential for tissue contraction in wound closure after brain injury in zebrafish larvae
Authors: El-Daher Francois , Enos Stephen J , Drake Louisa K , Wehner Daniel , Westphal Markus , Porter Nicola J , Becker Catherina G , Becker Thomas
Published: October 2024

Wound closure after brain injury is crucial for tissue restoration but remains poorly understood at the tissue level. We investigated this process using in vivo observations of larval zebrafish brain injury. Our findings show that wound closure occurs within the first 24 h through global tissue contraction, as evidenced by live-imaging and drug inhibition studies. Microglia accumulate at the wound site before closure, and computational models suggest that their physical traction could drive this process. Depleting microglia genetically or pharmacologically impairs tissue repair. At the cellular level, live imaging reveals centripetal deformation of astrocytic processes contacted by migrating microglia. Laser severing of these contacts causes rapid retraction of microglial processes and slower retraction of astrocytic processes, indicating tension. Disrupting the lcp1 gene, which encodes the F-actin–stabilising protein L-plastin, in microglia results in failed wound closure. These findings support a mechanical role of microglia in wound contraction and suggest that targeting microglial mechanics could offer new strategies for treating traumatic brain injury.
Direct visualization of emergent metastatic features within an ex vivo model of the tumor microenvironment
Authors: Anandi Libi , Garcia Jeremy , Ros Manon , Janská Libuše , Liu Josephine , Carmona-Fontaine Carlos
Published: October 2024

Ischemic conditions such as hypoxia and nutrient starvation, together with interactions with stromal cells, are critical drivers of metastasis. These conditions arise deep within tumor tissues, and thus, observing nascent metastases is exceedingly challenging. We thus developed the 3MIC—an ex vivo model of the tumor microenvironment—to study the emergence of metastatic features in tumor cells in a 3-dimensional (3D) context. Here, tumor cells spontaneously create ischemic-like conditions, allowing us to study how tumor spheroids migrate, invade, and interact with stromal cells under different metabolic conditions. Consistent with previous data, we show that ischemia increases cell migration and invasion, but the 3MIC allowed us to directly observe and perturb cells while they acquire these pro-metastatic features. Interestingly, our results indicate that medium acidification is one of the strongest pro-metastatic cues and also illustrate using the 3MIC to test anti-metastatic drugs on cells experiencing different metabolic conditions. Overall, the 3MIC can help dissecting the complexity of the tumor microenvironment for the direct observation and perturbation of tumor cells during the early metastatic process.
The formulation and solution of the task of the optimum reservation in the system of residual classes
Authors: Kononchenko Anna , Popenko Victoria , Krasnobaev Victor
Published: October 2024

Processes in specialized computer systems of the handling of the digitized data, which are representing non-positional notation in the system of residual classes (NRC), serve as the object of research. The considered capabilities of increasing the reliability of the high-performance processors, functioning on NRC's base as a result of solving the task of the optimum redundancy of their structure. In order to achieve the goal, direct and inverse tasks of the optimum reservation of the structure in NRC are formulated and solved in the article. The solution of problems of the optimum reservation is carried out by application of a method of the fastest coordinate descent, which is quite exact for carrying out engineering calculations. The results of calculations and comparative analysis of reliability (on the probability of trouble-free operation) for a three-channel majority information processing system are presented, in positional notation and for reservation of the structure in NRC are represented.
SQL-injections: an overview of potential protection methods
Authors: Popov Yuri , Ruzudzhenk Sabina , Pogorelaya Karina
Published: October 2024

This work exposes a brief review of well-known hacking techniques for programs and websites working with databases. Based on a comprehensive analysis of the main types of SQL attacks, the most profound threats are identified. They include in-band, blind and out-of-band types of SQL injections. An out-of-band SQL attack is considered to be the most dangerous because of its characteristics’ combination. Attention was also paid on the need of periodic testing and monitoring, which is an actual method of protection against SQL injections. It is emphasized, that the best testing method is undertaking code by the SQL injection. The protection methods, reviewed above, can increase the overall security of software products from attacks such as SQL injection, ensure the correct functionality of applications and the integrity of user data.
Classification of double cost attack in blockchain system
Authors: Demenko Eugene , Onikiychuk Alexander , Goncharov Nikita , Datsenko Sergey , Poluyanenko Nikolay
Published: October 2024

The article provides a brief overview and systematization of information on the issue of double costs in blockchain systems with probabilistic consensus methods and possible ways to solve it. The procedures using which double-cost attacks are implemented are described. The essence of the manipulations with which an attacker can try to realize double costs in decentralized payment systems is disclosed. A detailed description of the attacker's actions and ways to prevent the attack is given. The review starts with simple attacks based on creating duplicate transactions and ends with more complex attacks such as: attack-Race; Phinea attack attack; Vector76 attack; «51 %» attack. These attacks require significant resources from the attacker and the possibility of branching the registry blockchain. The last group of attacks is analyzed in more detail with an indication of their use cases. The most dangerous attack is highlighted. The attack «51 %» is highlighted as the most dangerous, which, according to the authors, poses the greatest threat to the safety of blockchain systems with probabilistic consensus algorithms.
Circuit description of API interface for software testing
Authors: Melkozerova Olga , Gaykova Valeria , Malakhov Serhii
Published: October 2024

They use the testing API to evaluate the quality of applications. There are a large number of tools for its implementation (Postman, SoapUI, JMeter, etc.). The universal approach to testing is becomes complicated by the large amount of data, the availability of various techniques and tools, and there should also be a test object. The complexity of the application logic makes it difficult to understand the testing process; this concerns the training of specialists in this field. To simplify understanding, in the article, the Servlet (Java) Calculator application was used as a test object. Testing was done using the Jmeter tool and code writing in Java. A test plan was developed using a JMeter tool that allows you to submit application requests. It is noted that automated unit tests are more useful in software development, so the Java programming language shows the ability to write query algorithms.
ANATOMICAL STRUCTURE OF ASSIMILATIVE ORGANS IN DOMINANT SPECIES OF THE FAMILY CHENOPODIACEAE (AMARANTHACEAE S.L.)
Authors:   AL-FARABI KAZAKH NATIONAL UNIVERSITY, Vesselova Polina , Alikhanova Aruzhan
Published: October 2024

The Chenopodiaceae family is one of the largest and most ancient families in arid regions of the globe. The representatives of this family, being dominants and edificators of many desert plant communities, play a significant role in forming the vegetation cover, particularly the species of the Salsoloideae subfamily. This study aimed to identify the anatomical structural features of the dominant species of the Chenopodiaceae family growing in arid regions. The study objects are species of the Chenopodiaceae family growing in arid territories of the Kyzylorda region. The study of the anatomical structure of assimilative organs revealed the following types: Cоrispermоid-type, Ventrо-dоrsal type, Kоchiоid-type, Atriplicоid-type, Salsina-type, Shоberia-type, Salsоlоid-type, and Climacоptera-type. The anatomical structure of Atriplex dimorphostegia was clarified. Haloxylon aphyllum was transferred from the Kranz-ventrodorsal type to the Salsoloid type. For the first time, a detailed anatomical structure of the leaves of Salsola sogdiana and Caroxylon nitrarium species was described.
YIELD STABILITY ANALYSIS OF BREAD WHEAT GENOTYPES IN KAZAKHSTAN
Authors:   AL-FARABI KAZAKH NATIONAL UNIVERSITY, Anuarbek Shynar , Chudinov Vladimir , Sereda Grigorij , Babkenov Adylkhan , Savin Timur , Fedorenko Elena , Tsygankov Vladimir , Tsygankov Artyom , Amalova Akerke , Turuspekov Yerlan
Published: October 2024

Bread wheat (Triticum aestivum L.) is a significant crop for human nutrition and global food security. Ensuring stable wheat yields is crucial, as fluctuations in production can have major effects on food availability and prices globally. We evaluated 82 bread wheat genotypes in two growing seasons using multi-environment trial analysis in Kazakhstan to identify superior genotypes using AMMI-based stability statistics. The analysis of variances (ANOVA) of AMMI showed that environmental effects largely explained yield variability (87.6 %), whereas the contribution of genotype (2.79 %) and genotype-environment interaction (8.19 %) had minimal influence. An estimated set of stability parameters showed positive correlations between each other, and these measurements can be utilized to choose stable genotypes. The mean yield of bread wheat genotypes ranged from 24.5 to 17.9 centners per ha. Genotypes 342/08 (G62), Line Р-1413m (G8), Lyutescens 54 190/09 (G54), 233/10 (G58), Bajterek 15 (G25), and Lyutescens 57 4/09 (G52) were shown to be the most stable and productive based on AMMI-based stability scores for grain yield. Breeders and farmers could use these samples as stable and high-performing genotypes in a wide range of environments in Kazakhstan.
DROMEDARY AND HYBRID CAMELS’ MILK COMPOSITION
Authors:   AL-FARABI KAZAKH NATIONAL UNIVERSITY, Akhmetsadykova Shynar , Shertay Yersultan , Konuspayeva Gaukhar , Bernard Faye , Ospanova Aikerim , Begdildayeva Nazerke , Bilal Zauresh , Amutova Farida , Issayeva Assem , Kondybayeva Askar
Published: October 2024

Nowadays, camel milk is in high demand both in domestic and foreign markets. The potential value of camel milk is on average 3.6% of the total national milk production, and this proportion increased by 30% since its independence. In the last 20 years, the production of camel products increased 5 times. There is an upward trend in prices for camel dairy products, which create an attractiveness for breeding camels with high dairy productivity in the country. Specific physiology and adaptive capacity and increased interest for these animals as livestock species worldwide could lead to high productive camels becoming an important milk source for humans. In this article the difference in camel milk composition of Aruana breed and hybrids from different regions of Kazakhstan was determined.
The national idea of the formation of national-territorial integrity in the newspaper «Ak zhol»
Authors:   AL-FARABI KAZAKH NATIONAL UNIVERSITY, Khazretali Tursyn , Dyusembekova Zhadyra , Aitmagambetov Duman
Published: October 2024

During the period of independence of the country, the conclusions regarding historical events and phenomena that developed in the Soviet historiography of the Fatherland began to be revised and updated on the basis of new data. One of the events in Soviet historiography that did not receive a true historical assessment was the history of the formation of the national-territorial integrity of the country in the first years of Soviet height. The article discusses this issue on the basis of the data of the Central Committee of the Communist Party of Turkestan and the newspaper «Ak zhol», the Press body of the Turkestan Central Executive Committee, which existed in the Turkestan region in 1920-1925. In the coming year, on the eve of the 100th anniversary of the implementation of the national-territorial delimitation policy in Central Asia and Kazakhstan, it is important to scientifically reconstruct the history of raising this issue at the level of the National idea. 2001-2002 the delimitation and demarcation of the state border of the country in accordance with international legal and legislative requirements requires a scientific reconstruction of the history of this historical event. In the context of globalization, scientific knowledge about the state border in the ratio of geopolitical interests between states is also becoming increasingly relevant for the formation of historical knowledge. The article analyzes and analyzes data on these topical issues and is presented for scientific circulation in order to be able to refute arguments and false statements by politicians and civil servants of neighboring countries that question the integrity of the state border of the country.
Design of a robust controller for the load frequency control of interconnected power system
Authors: Ch. Naga Sai Kalyan
Published: October 2024

This paper aims to develop a robust (1+PD)-PID cascade controller for the frequency stabilization of a multi-area Interconnected Power System (IPS). The operational performance of the proposed controller is studied by introducing a Step Load Disturbance (SLD) of 10% in area 1 of the considered power system model. For fine-tuning the proposed controller, the Butterfly Optimization Algorithm (BFOA) is employed. The superior performance of the proposed controller is validated against other controllers available in the literature. Furthermore, to enhance power system performance, a High-Voltage DC (HVDC) line is implemented in the test system model. The simulation results confirm the improvement in system performance with the incorporation of the HVDC line. To assess the robustness of the proposed controller, a sensitivity test is conducted, which validates its robustness.
A SURVEY ON EXPLAINABLE AI: TECHNIQUES AND CHALLENGES
Authors: Sai Teja Boppiniti
Published: October 2024

Explainable Artificial Intelligence (XAI) is a rapidly evolving field aimed at making AI systems more interpretable and transparent to human users. As AI technologies become increasingly integrated into critical sectors such as healthcare, finance, and autonomous systems, the need for explanations behind AI decisions has grown significantly. This survey provides a comprehensive review of XAI techniques, categorizing them into post-hoc and intrinsic methods, and examines their application in various domains. Additionally, the paper explores the major challenges in achieving explainability, including balancing accuracy with interpretability, scalability, and the trade-off between transparency and complexity. The survey concludes with a discussion on the future directions of XAI, emphasizing the importance of interdisciplinary approaches to developing robust and interpretable AI systems.
“Back Then,” “Around Here,” and “Down the Road”: Proximity, Recursivity, and the Present Future in Transplantation
Authors: Heinemann Laura
Published: October 2024

In this article, I examine the themes of proximity, recursivity, and the present future in transplant, with special attention to the perspectives and experiences shared by rural interlocutors during ethnographic fieldwork carried out during twenty-four non-consecutive months from 2007 to 2010 in the Midwest region of the United States. By revisiting from today’s vantage point a set of data gathered years ago, and suggesting the Möbius strip as a helpful model, I offer an examination of recursivity in transplantation that is itself born out of a recursive approach to research and analysis. Throughout, I draw upon and analyze data that were gathered through participant observation and qualitative ethnographic interviews with transplant patients and loved ones residing in rural areas, where interlocutors’ insights regarding their temporal and spatial movement in relation to transplantation index some of its frictions of futurity.
Machine Learning based Suggestion Method for Land Suitability Assessment and Production Sustainability
Authors: Cao Yue , Jiang Liang
Published: October 2024

The global population is projected to increase by an additional two billion by 2050, as per the assessment conducted by Food and Agriculture Management. However, the arable land is anticipated to expand by just 5%. Consequently, intelligent and effective agricultural practices are essential to enhancing farming production. Evaluating rural Land Suitability (LS) is a crucial instrument for agricultural growth. Numerous novel methods and concepts are being adopted in agriculture as alternatives for gathering and processing farm data. The swift advancement of wireless Sensor Networks (WSN) has prompted the creation of economical and compact sensor gadgets, with the Internet of Things (IoT) serving as a viable instrument for automation and decision-making in farmers. To evaluate agricultural LS, this study offers an expert system integrating networked sensors with Machine Learning (ML) technologies, including neural networks. The suggested approach would assist farmers in evaluating agricultural land for cultivating across four decision categories: very appropriate, suitable, somewhat suitable, and inappropriate. This evaluation is based on the data gathered from various sensor devices for system training. The findings achieved with the MLP with four concealed layers demonstrate efficacy for the multiclass categorization method compared to other current models. This trained system will assess future evaluations and categorize the land post-cultivation.
Legal Framework for Security of Organ Transplant Information in the Digital Age with Biotechnology
Authors: Wan Qinghui , Hu Xiaowei
Published: October 2024

In the context of the digital age, organ transplantation, as a life-saving technology, has become increasingly prominent in its information security. This paper aims to explore and construct a legal framework for organ transplant information security that meets the requirements of the digital age. First, the article outlines the legal background of organ transplantation and its new challenges in the digital age, emphasizing the centrality of information security in the organ transplantation process. The article then elaborates on the legal definitions and classifications of organs and discusses how digital technologies are changing these definitions and classifications. In the same way, the study of how people think about organ donation and transplantation used non-parametric tests, analysis of variance, and logistic regression to determine how people think about these things differently in different groups. Dichotomous logistic regression models were also created. This paper examines the current legal frameworks that protect organ transplant information in the digital age. The focus is on how biotechnology is linked to data privacy, security measures, and ethical concerns. This shows the importance of a complete regulatory framework to protect individuals' health information about organ transplants. This paper's research goal is to make a stronger legal guarantee for organ transplant information security. This will help organ transplantation technology grow healthily, protect the rights and interests of donors and recipients, and keep people's sense of dignity.
Exploring the Performance Impact of Neural Network Optimization on Energy Analysis of Biosensor
Authors: Tan Weichao , Co Celso Bation , M.hernandez Rowell , Sarmiento Jeffrey , Rosales Cristina Amor
Published: October 2024

With the popularization of new energy vehicles, lithium battery systems, as the main components of new energy vehicles, have the characteristics of short life cycles and harmful substances inside. The green treatment of lithium battery systems has become a research hotspot. Disassembly and recycling are essential means of reusing waste in lithium battery systems. Due to the wide variety of lithium battery systems, the lack of unified design standards, and the high flexibility requirements for disassembly, manual disassembly is currently the primary method used. However, this method can cause health hazards to oneself when dismantling some harmful components. The optimization of the dismantling process route for lithium batteries is a crucial step before dismantling, which directly determines the economic benefits of dismantling. However, unlike general electromechanical products, lithium batteries have prominent safety issues during the dismantling process, so the safety requirements for their dismantling process route are relatively high. Given the substantial absence of parametric evaluation and modification in prior research, this work investigates the influence of the most significant factors on the power density of biosensors. A conduction-based framework was employed to ascertain these variables, and the calculations were performed utilizing a neural network. The neural network was developed with Particle Swarm Optimization (PSO). Based on this, this article considers studying the optimization method of the lithium battery safety disassembly process to maximize safety and economic benefits comprehensively. Based on the essential characteristics of lithium-ion battery systems, an analysis is conducted on the allocation method of difficulty level for human-machine cooperation tasks and the impact indicators of task allocation. Then, a product disassembly hybrid diagram is established, and on this basis, multiple sets of human-machine cooperation disassembly sequences are generated. Finally, a multi-objective optimization model for disassembly cost, difficulty, and time is established. Finally, taking the Tesla Model 1sPBS waste lithium battery as an example, the safety prediction model for dismantling the waste lithium battery and the optimization model for the safety dismantling process route were solved to verify the effectiveness of the above optimization method.
The Challenges and Triumphs of CSP Based Formal Verification
Authors: Roscoe Andrew , Antonino Pedro
Published: October 2024

I have spent my long career developing the CSP process algebra, with much attention going to make it usable in real-world problems. In this paper I reflect on this work and try to sum up where we are in 2024. I concentrate on some relatively recent applications including the ideas behind the Coco System and how CSP can be used to support decentralised reasoning in the presence of Byzantine behaviour. I think CSP models are the ideal starting point when you want to get to grips with a challenging issue in practical concurrency.
ZEBANÊ ZAZA (DIMILİ) KİTABINDA FARSÇA VE ZAZACA KELİME BENZERLİK VE FARKLILIĞI
Authors: Dağılma İbrahim
Published: October 2024

Bu çalışma, Siyawuş Murşidi’nin 2014 yılında yayınlanan Zebanê Zaza adlı kitabını inceleme ve değerlendirmeye odaklı bir çalışmadır. İncelenen bu kitapta yazar Murşidi, aynı dil ailesinden gelen iki kadim dil Farsça ve Zazacayı kelimeler (isim, fiil, zamir), günlük ifadeler ve bazı kısa cümleler üzerinden karşılaştırmıştır. Farsça ve Zazaca arasında karşılaştırmalı çalışmalar çok olmasa da son zamanlarda yapılan bazı bireysel ve akademik çalışmalar iki İrani dilin birbirine çok yakın durduğunu göstermektedir. İncelemesi yapılacak olan Zebanê Zaza (Dımili) adlı kitap bu çalışmalardan biridir. Murşidi, bu çalışmasında Farsça ve Zazacayı ‘akrabalık, organ isimleri, zaman, haftanın günleri, sayılar ve hayvan isimleri’ gibi genel kelimeler bağlamında karşılaştırmaktadır. Murşidi, eserini tercüme ve telif olarak tanımlamaktadır. Muhtemelen tercümeden kastı çalışmasına dâhil ettiği Farsça kelime ve cümlelerin Zazaca karşılıklarının verilmiş olmasıdır. Zebanê Zaza (Dımili) bütüncül ve karşılaştırmalı bir gramer çalışması olmayıp bir sözlük karşılaştırması gibi durmaktadır. Zazacayı bir dil olarak gören Murşidi, kitabın başında Zazalar ve Zazaca ile ilgili tarihi, coğrafi ve istatistiksel bilgiler verir. Bu çalışma, Zebanê Zaza isimli çalışmanın bu yönüyle artılarını ve eksikliklerini bir makale sınırlılığı içinde kitaptan seçili örnekler bağlamında benzeşen ve farklılaşan örnekler üzerinden göstermeye çalışacaktır. Çalışmada, bizim tercih ettiğimiz transkript alfabesi ile Siyawuşi’nin kullandığı transkript alfabesi tablo olarak gösterilecek ve örnek kelimeler ve cümleler bu alfabe bağlamında transkript edilecektir.
USO DAS TECNOLOGIAS NA SECRETARIA ESCOLAR
Authors: Silva Adriana Francisca da , França Alessandra de Melo , SILVA ROSA JUSSARA BONFIM
Published: October 2024

O uso das tecnologias na secretaria escolar vem sendo cada vez mais utilizados a fim de facilitar os processos e serviços nas unidades. Este trabalho explica a importância da inserção tecnológica nos processos da secretaria escolar e como vem acontecendo na atualidade. As instituições de ensino buscam alternativas para melhorar e acelerar seus processos, desenvolvendo e aprimorando a prática operacional de sua equipe que tem como composição o pedagógico e administrativo. Nesse sentido a secretaria escolar entra como um dos alicerces principais da instituição e dela dependerá a agilidade nos processos bem como sua eficácia. O trabalho de pesquisa trata-se de revisão bibliográfica no qual utilizou-se artigos e livros as observações feitas visam mostrar a evolução dos processos educacionais, os conceitos teóricos atuais quanto à estrutura e funcionamento da secretaria escolar, os métodos e processos de informatização na atual realidade vivenciada na secretaria das instituições. Comprovando com resultados positivos que processos tecnológicos desenvolvem uma rotina de automação do trabalho e atendimento, contribuindo para a satisfação dos profissionais, alunos, pais e comunidade. A gama de variedade de dispositivos criados para os sistemas de gestão escolar, permitem melhor comunicação e interação no ambiente e quando utilizados de maneira integrada, promovem melhorias múltiplas ao processo produtivo da organização.
Palavras-Chave: Gestão Escolar; Tecnologia Educacional; Sistemas de Gestão Escolar; Formação; Comunicação.
FORMAÇÂO DO PROFESSOR ALFABETIZADOR
Authors: Silva Fernanda Andrade , Ayres Luciana Maria Bueno , SILVA ROSA JUSSARA BONFIM
Published: October 2024

Para exercer a função de professor alfabetizador, o profissional deve ter ciência de que o trabalho demanda maior empenho em relação às demais etapas. O bom professor tem domínio da turma, do conteúdo aplicado, é carismático, envolve toda a turma na atividade proposta e consegue alfabetizar seus alunos. O objetivo deste trabalho é analisar os conceitos de letramento e alfabetização no contexto educacional e social, e a formação do professor para o exercício da alfabetização. A metodologia utilizada nesse artigo foi estudo de caso, com pesquisa qualitativa, por meio de aplicação de entrevista aplicada a três professores alfabetizadores do 1º ao 3º ano do Ensino Fundamental I, respaldada em estudos bibliográficos. Atuar com competência nas aulas de alfabetização vai além do domínio do conteúdo, afinal, alfabetizadores são alfabetizados. Domina o conteúdo para trabalhar com os alunos. Mas é importante pensar nas especificidades didáticas desse conteúdo. A formação de professores no curso pedagógico deve levar em conta o perfil do professor alfabetizador. É importante compreender o processo de alfabetização como uma jornada complexa que deve ser objeto de estudos e pesquisas.

Palavras-Chave: Alfabetização; Professor alfabetizador; Processo de aprendizagem; Séries iniciais.
FORMAÇÃO DO PROFESSOR DA EDUCAÇÃO INFANTIL
Authors: Vieira Anatache Carvalho de Souza , Silva Dalci Aparecida da , SILVA ROSA JUSSARA BONFIM
Published: October 2024

Este artigo tem por objetivo ressaltar a importância da formação de professores da educação infantil, mediante os desafios encontrados para atuação. Este visa a necessidade de professores serem capacitados, uma vez que esta formação refletir-se-á no futuro educacional, buscando analisar instrumentos legais, compreendendo a educação infantil como um direito social. Objetiva responder a problemática no que se refere ao perfil do professor, suas habilidades e competências que favorecem aos alunos uma educação transformadora e eficaz. O presente artigo está apoiado nas leis desenvolvidas para a formação do professor na educação infantil, do ponto de vista de teóricos e estudiosos como: Freire, Pimenta, Emília Ferreiro, Cristovam Buarque e Piaget. É uma pesquisa de natureza qualitativa que foca em compreender comportamentos, pontos de vista, ideias, entre outros. Com base na pesquisa percebemos a necessidade de interversões no que diz respeito a formação continuada do professor.

Palavras-Chave: formação do professor da educação infantil; requisitos e habilidades principais; perfil do professor.
Prevalência de afastamentos previdenciários por doença psiquiatrica no Brasil
Authors:   , Barros Livia Maria Chagas de
Published: October 2024

O presente trabalho reflete a prevalência de afastamentos previdenciários por adoecimento mental no Brasil, na última década. Foram empregados dados oficiais do Ministério da Previdência Social, p que torna essa monografia um retrato fidedigno da realidade da saúde mental do trabalhador brasileiro na última década
Unraveling the Black Market for Oil: The Complex Web of Phantom Trade and Its Reverberating Effects on Energy Security, Trade Balances, and Social Welfare
Authors: Alsuwailem Majed , Soud David , Alyahya Fahad
Published: October 2024

In the energy market, the black market1 for oil embodies the ancient parable of the blind men and the elephant. Just as the blind men each touched a different part of the elephant and experienced only a fraction of its true nature, so do policymakers perceive the black market for oil through narrow lenses. However, this market, like the imposing elephant, manifests itself in diverse and multifaceted forms that demand nuanced understanding and cannot be dismissed.
Enabling Net-Zero Shipping An Expert Review-Based Agenda for Emerging Techno-Economic and Policy Research
Authors: Govidan Kannan , Dua Rubal , Anwar Ahm Mehbub , Bansal Prateek
Published: October 2024

Net-zero shipping is emerging as a global priority, underscored by the shipping sector’s increasing projected contribution to climate change, making it critical to understand the emerging associated research priorities. We outline key techno-economic and policy research priorities for achieving effective and equitable net-zero shipping. We translate contemporary media issues to techno-economic and policy research priorities, corroborating the identified priorities through the academic literature, and consulting an array of maritime experts in the fields of policy, technology, fuel, and infrastructure.
The effect of work discipline on employee performance with motivation as an intervening variable in the investment and service office one-stop integrated licensing in Langkat Regency
Authors: Syahpura Zulpa  , Nashrudin Setiawan
Published: October 2024

The purpose of this study is to: (1) evaluate the effect of work discipline on employee performance at the One-Stop Investment and Licensing Service Office of Langkat Regency; (2) test the effect of work discipline on employee performance at the same office; (3) investigate how work motivation has a positive and significant effect on employee performance at the One-Stop Investment and Licensing Service Office of Langkat Regency; and (4) use a quantitative approach with descriptive methodology. Data were collected through employee questionnaires and analyzed using path analysis techniques. This survey involved 50 participants and used the total sampling method. The results of the study indicate that: (1) work discipline has a significant effect on employee performance, with a t value of 3.896; (2) work discipline has a significant effect on motivation, with a t value of 8.940; (3) work motivation has a significant effect on employee performance, with a t value of 2.202; and (4) work discipline affects employee performance indirectly through motivation, with a regression test showing an effect of 36.5%.
The efficiency of high flow nasal cannula for respiratory support in adults in the intensive care unit when compared to regular oxygen, non-invasive ventilation, or non-invasive positive pressure ventilation: A systematic review
Authors: Fahad Bader AlGhounaim  , Fahad Yahya Alzahrani  , Faisal Alshammari  , Ahmad Abdulrazak Al Dulaijan  , Munirah Abdulrahman Almulhim  , Rawan Fayez Alatigue  , Mohammad Hassan Al Khalifa  , Sarah Jaffer AL Ahmed  , Adnan Khalifa Bunayan  , Nada Mosa Almosa  , Hala Michal Alenazi
Published: October 2024

Objective We aimed to compare the effectiveness of HFNC to NIV or NIPPV, conventional oxygen treatments, for respiratory support in adult intensive care unit patients.
Method: In compliance with The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guideline, this systematic review study was carried out. We looked through Google Scholar, Cochrane, PubMed, and electronic databases to find randomized controlled trials that were released between 2017 and 2023.
Result and conclusion: Five randomized controlled trials (with different primary outcomes: hospital length of stay, PaO2/FIO2 ratio, post-extubation vital signs, ABG, respiratory failure three days after extubation, and 28-day mortality rate) were included in this systematic review. Among non-hypercapnic patients at high risk of extubation failure, HFNC may be more advantageous than standard oxygen in delaying the onset of respiratory failure; in terms of vital signs and ABGs, HFNC is a viable replacement for NIV in the weaning of hypercapnic COPD patients; additionally, HFNC improved patient comfort and secretion clearance.
The problem of treating anaemia in children: Medicinal plants versus blood transfusion
Authors: DIMOKE OKITO Franck  , MONDAKA NGOLU Cynthia  , KAHINDO VAGHENI Nicole  , LISONGOMI LOTIYO Gaspard  , BUMBA BASIATIWE Marthe  , AITEKELE KANGAMA Pierrot  , NYANGE DIKETE Paul
Published: October 2024

Introduction: This study looked at the problem of treating anaemia using both medicinal plants and blood transfusions. The aim was to identify the problems associated with treating children's anaemia using blood transfusions or medicinal plants, to show why parents choose to treat their children's anaemia, to identify the reasons for using medicinal plants to treat children's anaemia and to list the medicinal plants used to treat anaemia. Methodology: To achieve these objectives, we used a cross-sectional descriptive approach based on direct structured interviews with mothers hospitalized with their children in the paediatrics department of the GRH/Makiso and at the Centre Traditional-modern Jesus Heals, during the three-month period from 1 June to 31 August 2023. As a result, 40 study subjects were selected, 20 from each investigation site. Results: The following results were obtained in relation to problems associated with the treatment of anaemia in children: 30.0% of the subjects in the study who had had a relapse to traditional anaemia treatment at the CTM Jesus Heals and problems related to the treatment of anaemia by transfusion and traditional treatment, 50.0% of the subjects in the study mentioned the reason why traditional treatment corrects anaemia, i.e. 25.0% at the CTM Jesus Heals and blood transfusion improves the child's state of health, i.e. 25.0% at the HGR/Makiso. At the CTM Jesus Heals, anaemia was treated with medicinal plants, in particular sweet potato leaves (20.0%), papaya leaves (12.5%), avocado leaves (10.0%) and Bokomu leaves (7.5%). Conclusion: Anaemia is a public health problem in Kisangani, causing a high morbidity rate among children. It is therefore important to provide effective medical treatment with a view to reducing the number of deaths due to anaemia.
Design and development of an ai-driven communication model for stimulating memory recall in patients with Alzheimer’s and other neurodegenerative diseases
Authors: Hafsat Bello Danmaisoro  , Babajide J. Odejide  , Eric Jhessim  , Adeola Raji  , Ayinoluwa Feranmi Kolawole
Published: October 2024

This study presents the development and evaluation of an AI-driven communication tool designed to stimulate memory recall in patients with Alzheimer’s disease and other neurodegenerative disorders. The tool integrates machine learning algorithms, including Random Forest and Long Short-Term Memory (LSTM) networks, with mass communication theories to deliver personalized and adaptive communication strategies. The AI models were trained and tested on patient interaction data, enabling the tool to dynamically adjust its prompts based on real-time cognitive states. Performance metrics such as accuracy, precision, and AUC-ROC were used to assess model efficacy, with the Random Forest model achieving the highest performance across all metrics. Clinical trials demonstrated significant improvements in memory recall and emotional engagement in patients using the AI tool compared to standard cognitive stimulation therapy. Caregivers also reported higher satisfaction with the tool's usability and impact on patient interaction quality. These findings highlight the potential of AI-driven, personalized communication tools to revolutionize Alzheimer's care, offering scalable, adaptive interventions that improve cognitive and emotional health. Academically, this work advances the integration of AI and health communication, emphasizing culturally sensitive and patient-centered approaches. In healthcare, it presents a promising non-pharmacological intervention that can be easily scaled for widespread use, potentially reducing caregiver burden and improving patient outcomes.
Problem of mobilizing local financial resources for grassroots development: Case of CDL and CP in the urban commune of Kissidougou
Authors: Mamady CONDE  , Moriba MARA  , Oumar CAMARA  , Yacouba CAMARA
Published: October 2024

Insufficient mobilization of local financial resources in Kissidougou hinders its development, requiring strategies for fundraising, management and governance. Our work took place from June 4 to August 20, 2023; The general objective is to identify the various factors that undermine the effective mobilization of local financial resources through the CDL and the CP. The specific objectives aim to: · -Identify the various resources mobilized in the municipality from 2021 to 2023; · -Evaluate and analyze the level of mobilization of the CDL and the CP; · -Identify the various obstacles that limit this mobilization with a view to considering suitable solutions. To achieve these objectives, we adopted the following methodology: -Planning of activities; -Consultations of documents, frameworks and archives; -Surveys: (sampling, development of survey sheets, data collection); -Processing, analysis and interpretation of the data collected. Our surveys focused on a sample of 100 people including 10 local elected officials, 10 SPI agents and 80 taxpayers. At the end of our work, we arrived at the following results: o In 2021, on a forecast of 156.552.000 GNF, 63.181.000 GNF was recovered, i.e. an achievement rate of 40.35%; o In 2022, on a forecast of 222.190.000 GNF, 162.751.345 GNF was recovered, i.e. an achievement rate of 73.24%; o In 2023, on a forecast of 368.880.000 GNF, 282.093.253 GNF was recovered, i.e. an achievement rate of 76.47%. This gap between forecasts and achievements is due to the problems that hinder mobilization. This is why solutions and decision-making must be immediately applied to resolve these problems.
Chemical thermodynamics of biomass, cellulose, and cellulose derivatives: A review
Authors: Michael Ioelovich
Published: October 2024

This article provides a review of the research on the chemical thermodynamics and thermochemistry of biomass, cellulose, and its derivatives such as ethers, esters, and oxycelluloses. For diverse biomass types, gross and net heating values were studied. It has been established that these energetical characteristics of biomass can be calculated using a superposition of the energetical characteristics of the main components of biomass such as cellulose, hemicelluloses, lignin, lipids, proteins, etc. The pelletization of biomass improves its fuel performance. It was shown that, if the ultimate goal is to generate the maximum amount of thermal energy, then it is more profitable to directly burn the initial biomass in the form of pellets than to burn the amount of solid or liquid biofuel that can be extracted from this biomass. After the cellulose study, the direct and exact thermochemical method for determining the crystallinity degree of this biopolymer was proposed. In addition, the standard combustion and formation enthalpies of various cellulose samples were studied. As a result, the thermodynamic characteristics of four crystalline allomorphs of cellulose, CI, CII, CIII, and CIV, were obtained and their thermodynamic stability was evaluated. The thermochemistry of enzymatic hydrolysis of cellulose was studied. In addition. The thermodynamical characteristics of various cellulose derivatives were determined, and the thermochemistry of the reactions of cellulose alkalization, etherification, esterification, and oxidation was studied.
Perbandingan Metode Data Mining PERBANDINGAN METODE KLASIFIKASI PENGUJIAN KENDARAAN BERMOTOR DENGAN ALGORITMA C4.5 DAN NAÏVE BAYES
Authors: Lazuardy Fahreza Adams , Homaidi Ahmad , Lutfi Ahmad
Published: October 2024

Penelitian ini bertujuan untuk membandingkan metode klasifikasi pengujian kendaraan bermotor pada algoritma C4.5 dengan Naïve Bayes di Dinas Perhubungan Kabupaten Situbondo. Dataset yang digunakan berjumlah 3.264 record yang dibagi menjadi 2 subset data, data training dan data testing. Atribut yang dianalisis meliputi tahun pembuatan, kepemilikan kendaraan, emisi opasitas timbal, total gaya pengereman, standarisasi klakson, kelayakan ban kendaraan, kekuatan sinar lampu, penyimpangan pancar lampu, dan hasil pengujian. Hasil perbandingan ini menghasilkan dalam algoritma C4.5 memiliki akurasi senilai 99.69% dengan precision 99.68% dan recall 100% untuk kelas “LULUS”, serta precision 100% dan recall 90.48% untuk kelas “TIDAK LULUS”. Sementara algoritma Naïve Bayes menunjukkan akurasi senilai 99.13% dengan precision 99.59% dan recall 99.51% untuk kelas “LULUS” serta precision 81.82% dan recall 84.38% untuk kelas “TIDAK LULUS”. C4.5 lebih unggul mendeteksi kendaraan yang “TIDAK LULUS”, sedangkan Naïve Bayes lebih efisien dalam komputasi. Temuan ini menyimpulkan bahwa algoritma C4.5 lebih efektif untuk pola interaksi data yang kompleks, sedangkan Naïve Bayes menawarkan kecepatan komputasi yang lebih tinggi. Pemilihan algoritma harus mempertimbangkan karakteristik dataset dan kebutuhan spesifik dari aplikasi pengujian kendaraan bermotor.
Kata Kunci: Data mining, C4.5, Naïve Bayes, Klasifikasi, Pengujian Kendaraan Bermotor, Akurasi.