bluuebunny/crossref_metadata_2025 huggingface dataset:
Regional IP Allocation Techniques Using Drones
Authors: Chun Yang-Ha , Cho Moon-Ki
Published: April 2024

Drones, which were initially developed for military applications, have recently been studied and applied to various fields. In this paper, we propose a DANET algorithm that uses a large number of drones to build a wireless communication network infrastructure, and in situations where communication is not possible, such as in disaster areas, we propose a DANET algorithm that uses drones to form a network so that nodes that want to join the network can efficiently acquire IP addresses without collision. In a DANET, a pool of IP addresses is gradually passed to the drones in the next zone in blocks, and the drones in each zone distribute IPs to newly joining nodes, thereby increasing the IP address allocation rate and reducing the IP allocation time to form a temporary but efficient network. Drones assign their own IP addresses through simple Request and Response message exchanges with land-based stations or M-Droin (Mother Droin) in the divided zones that can assign IP addresses. Therefore, DANET can completely eliminate the process of IP collision avoidance (Duplicate Address Detection) and the process of network separation or integration caused by the movement of ships. This paper presents a new possibility for building wireless network infrastructure in unconnected areas such as disaster areas by performing simulations under various conditions to verify the applicability of DANET.
DNN-Based Relative Localization Technique for Real-Time Positioning of Moving Unmanned Swarm Robots
Authors: Hyun In-Young , Yun Seung-Mi , Jeong Eui-Rim
Published: April 2024

The unmanned swarm robot system, which enables multiple robots to collaborate and perform a variety of tasks, is extensively researched for its potential applications. Accurate determination of the location of swarm robots during operation is of paramount importance, and various positioning algorithms are employed to achieve this. Specifically, in situations where global positioning system (GPS) signals are unavailable, fixed anchor nodes with known location information can be utilized for localization. However, in scenarios where fixed anchor nodes are not present, and the robots operate in a swarm, applying this technology poses challenges, necessitating a localization technique that relies solely on distance information between the robots. This paper proposes a deep neural network (DNN) technique that utilizes only the distance information between moving nodes to predict the real-time relative coordinates of each node. It is assumed that the distances between nodes are updated sequentially and periodically according to a predetermined measurement cycle. A grid-based localization technique is used as the existing method for performance comparison. Computer simulation results demonstrate that the proposed DNN-based relative Localization technique exhibits superior localization performance compared to the existing Grid-based method. Furthermore, the proposed technique shows similar performance regardless of the distance measurement cycle, indicating that it is not significantly affected by the cycle. Therefore, applying the proposed relative Localization algorithm to swarm robots could enable real-time and accurate relative positioning, facilitating precise location tracking of the swarm.
Usage of soybean waste recycling among rural farmers in Kwara state, Nigeria
Authors: OLUWASEYI MARIA ABIODUN  , JAMIU OLAKUNLE JIMOH  , OLANIRAN VICTOR OLAGOKE  , OYEKUNLE OPEYEMI OYEWALE  , SIJUWADE ADEBUKOLA ADEBAYO
Published: April 2024

This study assesses the usage of soybean waste recycling among rural farmers in Kwara State, Nigeria. The specific objectives were to examine the soybean farmer’s level of awareness on soybean waste recycling and identify the level of usage of soybean waste recycling in the study area. Data were collected through interview schedule and analysed using both descriptive and inferential statistics such as Frequency, Percentage, Mean, Standard Deviation and Pearson Product Moment Correlation. The findings of the study were that: The mean age of the respondents was 43.51 years. Most of the respondents (62%) were males, (80.9%) married, (75.1%) had formal education with an average household size of 6 persons and 16.37 years of farming experience. All (100%) of the respondents indicated awareness of soybean waste recycling and no respondent indicated unawareness. The analysis conducted on the level of usage of soybean waste recycling in the study area shows that majority (65%) had a moderate usage of soybean waste recycling. This study recommends promoting the usefulness of soybean waste to farmers. Additionally, this study suggests establishing partnerships between agricultural institutions and farmers to facilitate the adoption of soybean waste utilization practices.
Análise dos poluentes atmosféricos na região metropolitana do Vale Paraíba - SP durante os anos de 2018 a 2022
Authors: Suski Cássio Aurélio , Alvim Débora Souza , Herdies Dirceu Luís , Menegotto Eduardo José , Nogueira Luana Carol da Silva , Felippe Monica Tais Siqueira D’Amelio , Corrêa Sérgio Machado , Carvalho Ana Karine Furtado de , Costa Simone Marilene Sievert da
Published: April 2024

O crescimento urbano acelerado e a consequente expansão da frota veicular têm exacerbado a poluição atmosférica em grandes cidades, tornando-se um problema de importância socioeconômica, ambiental e de saúde pública. O monitoramento da qualidade do ar desempenha um papel crucial nas políticas de controle ambiental, permitindo avaliar os níveis de poluentes e desenvolver tecnologias sustentáveis. Um estudo na Região Metropolitana do Vale do Paraíba, São Paulo, entre 2018 e 2022, analisou as variações anuais, sazonais e mensais de poluentes como CO, NO, NO2, O3, MP2.5 e MP10 em quatro estações, Guaratinguetá (1), Taubaté (1) e São José dos Campos (2), de monitoramento da qualidade do ar a partir do sistema QUALAR da CETESB. Para elaboração dos gráficos de médias anuais, mensais e médias horárias por estação do ano (sazonal), foram utilizadas as médias dos dados horários de cada estação de monitoramento durante o período de cinco anos. O tratamento dos dados dos poluentes do sistema Qualar da CETESB foi realizado usando a linguagem Python e os gráficos foram feitos usando a linguagem R. Houve aumento na concentração de NO em 2021 e 2022, enquanto o NO2 manteve praticamente os mesmos valores. São José dos Campos registrou as maiores concentrações de NO, NO2 e MP10. No outono e inverno, todos os poluentes, exceto O3, atingiram picos de concentração, devido às condições atmosféricas. Em geral, os poluentes ficaram dentro dos limites do CONAMA, mas NOx, MP2.5 e MP10 ultrapassaram os padrões da OMS, indicando desafios contínuos na gestão da qualidade do ar e a necessidade de medidas adicionais para proteger a saúde pública e o meio ambiente.
A review on sustainable sewage treatment technologies applicable to semi-arid regions
Authors: Duarte Gustavo Marques Calazans , Coura Mônica de Amorim , Oliveira Rui de
Published: April 2024

Sustainability in the context of Wastewater Treatment Plants (WWTPs) is manifested when the principles of circular economy are prioritized, and the use of by-products takes center stage. From this perspective, a notable gap exists in the literature, as no bibliometric analysis has evaluated the sustainability of sewage treatment technologies in semi-arid climates. Addressing this, the current study aims to contextualize, map, and analyze the evolution and trends of sustainable WWTPs through bibliometric analyses, to assess the hypothesis of the existence of sustainable wastewater treatment plants and, in the affirmative, to evaluate which ones are best suited to the semi-arid climate. The research utilized documentary research data. To this end, the VosViewer software was employed to map information from titles and abstracts. Furthermore, the Bibliometrix software was used for bibliometric analyses. Additionally, a systematic analysis of selected articles was carried out to validate the results obtained in the integrative analysis. The integrative review revealed an evolution in scientific production related to the sustainability of WWTPs, with a significant increase in publications over time. As a result, it can be observed that sewage treatment technologies such as constructed wetlands, pond systems, sand filtration, and septic tanks were highlighted as more sustainable and applicable approaches in semi-arid regions compared to other sewage treatment technologies analyzed. Bibliometric analysis identified prominent authors, leading countries in scientific production, and key scientific journals in the field. The validation of results through systematic analyses reinforced the reliability and robustness of the information obtained in the study. As seen, this study contributes to a significant advancement in knowledge about sustainable sewage treatment in semi-arid regions, providing relevant insights for public and private stakeholders in making informed and sustainable decisions.
Optimization of Extraction Process and Preliminary Study on Hypoglycemic Activity of Fructus Swietenia Macrophylla Extract
Authors: Wang Ruyi , Zheng Hai , Lan Hua , Kong Mengdie , Deng Gaobin , Wang Lifan , Li Xuanlin , Zou Zhenjian
Published: April 2024

This project studies the method of ultrasonic-assisted organic solvent extraction to extract hypoglycemic components from Fructus Swietenia Macrophylla. It explores the effects of different solvents, ultrasonic time, solid-liquid ratio, extraction temperature, and ultrasonic frequency on the extraction rate of FSM extract. Single-factor experiments and orthogonal experiments are used to optimize the extraction process, and the extract yield is used as an indicator to evaluate the advantages and disadvantages of the process. With the α-Amylase and β-The inhibition rate of amylase is used as an indicator to evaluate the hypoglycemic activity of the above-mentioned FSM extract. The results showed that using ethyl acetate as the extraction solvent, ultrasonic time of 30 mins, solid-liquid ratio of 1:25 (m/V), ultrasonic frequency of 40 kHz, and ultrasonic temperature of 50℃ were the optimal extraction process for FSM extract. When adding 10 mg of FSM extract α-The inhibition rate of amylase can reach 78.74% ± 1.8%, which is beneficial for β-The inhibition rate of amylase can reach 85.12% ± 2.38%, indicating a good inhibitory effect, indicating that FSM extract has certain hypoglycemic activity.
The Impact of Green Finance on Reducing Carbon Emissions
Authors: Wang Julie
Published: April 2024

This paper investigates the pivotal relationship between green finance and carbon emissions, recognizing its crucial role in addressing contemporary environmental challenges. Through a comprehensive literature review, the study explores the historical development of green finance since its inception in 2007, emphasizing its growing significance globally and particularly in China. The theoretical analysis dissects various components of green finance, including green credit, securities, insurance, funds, investment, and carbon finance, shedding light on their collective impact on sustainability. The mechanisms and channels through which green finance influences carbon emissions are scrutinized, with a focus on corporate initiatives like Microsoft's carbon-negative goal and its resultant financial benefits. The study concludes with actionable policy insights, advocating for the acceleration of green financial system innovation and the optimization of product structures for sustainable development. This research provides valuable insights for policymakers and businesses navigating the path toward a low-carbon future.
Types and Characteristics of Food Additives and Their Impacts on Human Health
Authors: Yu Zhiming
Published: April 2024

Given how frequently food additives are used in the food industry today, questions have been raised regarding how they affect human health and the environment. The impact of food additives on the environment and human health are examined in this paper. By preventing microbial growth and oxidation processes, food preservatives and antioxidants increase the shelf life of foods, guarantee their safety, and maintain their quality. Whether made naturally or chemically, food colourants give colour stability to guarantee uniform food look. Although there are problems, notably with regard to the potential carcinogenicity of saccharin, sweeteners provide a choice for enhancing sweetness with chemical stability and minimal calories. Food stabilisers and coagulants enhance mouthfeel, prevent component separation, and improve texture and stability. Whether natural, like the polyphenols in tea and ascorbic acid, or artificial, like BHA and BHT, antioxidants prevent the oxidation of lipids and dietary ingredients. Food additives raise health issues like allergies and cancer risks despite governmental control. By 2023, the World Health Organization wants to completely ban trans fats from industrial production. To guarantee customer safety and high-quality products, China implements strict rules through the Food Safety Law that includes the manufacturing, importation, use, and management of food additives.
Advance on From Protected Cultivation Smart Greenhouse
Authors: Mu Yizhuo
Published: April 2024

This paper explores global developments in protected cultivation. Including smart greenhouse technologies, phenotyping technologies, and nocturnal growth insights. It surveys traditional practices and modern innovations, highlighting their development and impact. The study sheds light on protected cultivation’s journey, technological integration, and nocturnal influences, offering a holistic perspective on controlled environment agriculture.
COVID19 Infection——Recommendations for Nutritional Adjuvant Therapy in Elderly Patients
Authors: Lu Qiuyu , Zhang Zixia
Published: April 2024

New coronaviruses are wreaking havoc all over the world. The elderly have the highest number of coronavirus infections and the longest duration of illness, and they are more prone to acute respiratory distress syndrome, shock, metabolic acidosis, coagulation disorders, and multi-organ failure. They are also the most likely to suffer from the sequelae of chronic illnesses after recovering from the disease. The elderly have a significantly greater risk of obtaining new coronavirus infections as well as chronic illnesses due to the natural decrease of their immune systems that comes with advancing age. As a result, it is of the utmost importance to broaden the use of nutritional adjuvant treatment in order to revive the immune systems of aged patients. The findings of a literature review on the effects of nutritional adjuvant therapy and multiple micronutrients on elderly patients infected with new coronaviruses indicate that micronutrient supplementation and nutritional adjuvant therapy are essential for elderly patients infected with new coronaviruses.
Progress of DC Vaccine for Cancer Treatment
Authors: Xu Zichen
Published: April 2024

Cancer refers to malignant tumors with biological characteristics such as abnormal cell differentiation and proliferation, uncontrolled growth, infiltration, and metastasis. Its occurrence is a complex process with multiple factors and steps. In September 2022, a study conducted by American scientists showed that the incidence rate of cancer had risen sharply worldwide since 1990.How to treat cancer has become a hot topic in recent years. The article mainly introduces the development history of cancer and its treatment methods, as well as the specific methods of using dendritic cell (DC) vaccines to treat cancer and how to make DC vaccines. DC are the cells with the strongest antigen-presenting ability in the human body. Usually, the number of DC cells in the human body is very small. Only when antigen-presenting cells can perform their antigen-presenting function normally can the body effectively recognize pathogens, activate the acquired immune system, and produce normal immune responses. DC cell therapy involves inducing the generation of DC by culturing patient autologous monocytes in vitro, then loading corresponding tumor antigens to produce DC loaded with tumor antigens. These DC cells are then injected into the body to stimulate the proliferation of tumor killing lymphocytes, exerting long-term tumor monitoring and tumor killing effects, and achieving the goal of eliminating tumors. Compared with other cancer treatment methods, DC is one of the most effective ways to stimulate the body's immune system and resist cancer invasion. As a highly specialized primary antigen presenting cell, it plays a key role in inducing efficient and specific T cell immune responses against related antigens.
drdof the genotype of HSP70B gene in some characteristics of the components of milk
Authors: Ghadeer Razak Ahmed  , Abdullah Hamid Salem
Published: April 2024

The study was conducted at Taj Al-Nahrain station in Al- Diwaniyah Governorate, which Is approximately 200 km from the center of Dhi Qar Governorate, for the period from 10/2/2021 to 1/4/2022.And the laboratory part of the study was conducted In the Molecular Genetics Laboratory of the Marshes Research Center at Dhi Qar University. The study includeincludeed 49 Holstein cows Imported in their third productive season, Blood samples were drawn from them for the purpose of separating the genetic material (DNA) from It and studying the heat shock protein HSPA6 gene and knowing Its relationship to milk production characteristics In Holstein cows ,The results showed the nucleotide sequence on the 475bp gene segment extracted from the HSP70B gene the presence of the point mutation G˃T.113 was detected In the third exon of the above gene In the cattle sample under study.           
And the mutation discovered In the studied piece of the HSP70B gene was a missense mutation and It worked to change the code for the amino acid valine to private code With the amino acid  lucine  .Three
genotypes were shown: GG, GT, and TT.  
Groups of cows carrying the genotypes (GG, GT and TT) did not differ significantly among themselves in the  characteristics of milk components, but an arithmetic superiority between the three genotypes was noticed and referred to in all the studied traits.
Exploring Self-Construction of the American International Image: A Conceptual Metaphor Perspective
Authors: Wang Fengyuan , Duan Chengcan
Published: April 2024

While press releases and cultural transmission materials are common materials for understanding a country's self-construction of international images, to what extent the speeches at international conferences are effective in shaping national images is yet to explore from a perspective of cognitive linguistics? The present study compiles the minutes of 26 meetings of the United Nations Security Council on the situation in the Middle East, including the Palestinian issue, from which the speeches by U.S. representatives were selected to establish a corpus, and explores the self-construction of the American international image with conceptual metaphor theory. It is found that JOURNEY metaphor, BUILDING metaphor and so on are instrumental in shaping its image of advocating peace, but SEED metaphor and NEIGHBOR metaphor, etc. reveal its intention to perpetuate the conflict and double standards in dealing with the two conflicting parties.
Հայկական հարցի դիվանագիտական քննարկումների փուլերը 1878–1923 թվականներին՝ հայաստանյան պատմագիտության գնահատմամբ (1991– 2023 թթ.)
Authors: Հովհաննիսյան Լիլիթ
Published: April 2024

За 32 года независимости Республики Армения армянские историки проделали ценную работу в направлении анализа и оценки как коллективных обязательств великих держав, их содержания, так и ближневосточных интересов каждой из держав, их межгосударственных конфликтов в вопросе Западной Армении. В этом контексте раскрылись основные этапы дипломатического содержания Армянского вопроса от реформ Западной Армении к автономии, затем к независимости, а затем к защите прав армянского национального меньшинства в Турции.
During the 32 years of independence of the Republic of Armenia, Armenian historians have done valuable work in the direction of analyzing and evaluating both the collective obligations of the Great powers, their content and the Middle Eastern interests of each of the powers, their interstate conflicts on the issue of Western Armenia. In this context, the main stages of the diplomatic content of the Armenian question, from the reforms of Western Armenia to autonomy, then to independence, and then to the protection of the rights of the Armenian national minority in Turkey, were revealed.
Պարույր Սևակ. հայրենիքը և բանաստեղծը
Authors: Գասպարյան Դավիթ
Published: April 2024

Паруйр Севак (1924–1971) жил и творил в советские годы, создал свою теорию искусства и занял достойное место в армянской литературе. Его имя звучало и во всесоюзной поэзии того времени, пути которой определяли Андрей Вознесенский, Роберт Рождественский, Евгений Евтушенко, Иосиф Бродский, Владимир Высоцкий, Эдуардас Межелайтис, Иван Драч и другие. Его знали и ценили в этой литературной среде. Он переводил их произведения, они переводили его. Одним из тематических направлений богатой лирики Севака является патриотизм. Армянская литература имеет многовековые и проверенные традиции патриотической лирики. Поэт на национальной основе возобновил эти традиции и создал высокую поэзию, превосходящую требования времени.
Paruyr Sevak (1924–1971) lived and created during the Soviet years, developed his own theory of art, and took a worthy place in Armenian literature. His name was also heard in the All-Union poetry of that time, the paths of which were determined by Andrei Voznesensky, Robert Rozhdestvensky, Yevgeny Yevtushenko, Joseph Brodsky, Vladimir Vysotsky, Eduardas Mieželaitis, Ivan Drach, and others. He was recognized and appreciated in this literary environment. He translated their works, and they translated his. One of the thematic directions of Sevak's rich lyrics is patriotism. Armenian literature has centuries–old and proven traditions of patriotic poetry. The poet revived these traditions on a national basis and created high poetry that surpassed the demands of the time.
Лекция Сергея Городецкого об Армянском вопросе (Батуми, 1919 г.)
Authors: Закарян Анушаван
Published: April 2024

XX դարի 10-ական թվականների երկրորդ կեսի հայ իրականության բազմազան կողմերի լուսաբանման ու գնահատման, նոր փաստերի, մանրամասների վերհանման գործում անգնահատելի ներդրում ունի ռուս անվանի բանաստեղծ, գրող, հրապարակախոս, թարգմանիչ և հասարակական գործիչ Սերգեյ Գորոդեցկին (1884–1967): Գործելով ու ապրելով նախ Արևմտյան Հայաստանում, ապա Անդրկովկասում (1916–1921 թթ.)՝ նա ակնդետ հետևում էր Հայաստանում տեղի ունեցող իրադարձություններին, երկրի ներքին ու արտաքին դրությանը և իր հուժկու ձայնը բարձրացնում հանուն հայ ժողովրդի արդար պայքարի: Բացի գրական բազմաթիվ գործերից, հրապարակախոսական հոդվածներից, Ս. Գորոդեցկին մի շարք հրապարակային ելույթներ է ունեցել, դասախոսություններ կարդացել Հայաստանի և Հայկական հարցի մասին: Այդ առումով ուշագրավ է 1919 թ. հուլիսի 14-ին Բաթումիում կայացած նրա դասախոսությունը Հայկական հարցի մասին:
Sergey Gorodetsky (1884–1967), the famous Russian poet, writer, public speaker, translator and public figure made an invaluable contribution to covering and assessing, to revealing new facts and details of the various aspects of the Armenian reality of the 10s of the 20th century. Acting and living first in Western Armenia then in Transcaucasia (1916–1921), he kept a close eye on the events taking place in Armenia, on the interior and exterior situation of the country and raised his powerful voice in favor of the just stuggle of the Armenian people. In addition to numerous literary works and public articles, S. Gorodetsky gave a number of public speeches and lectures on the issue of Armenia and the Armenian Question. In this sense, his lecture on the Armenian Question, delivered in Batumi on July 14, 1919, is noteworthy.
Վանի նահանգը Հասան Թահսինի կուսակալության շրջանում (1913–1914 թթ.)
Authors: Հարությունյան Ավետիս
Published: April 2024

После свержения партии Иттилафа в 1913 году новым губернатором Вана был назначен Хасан Тахсин-бей (1913–1915). Будучи иттихатцем, он, в отличие от других младотурок, не был ярым националистом. Х. Тахсин дружелюбно относился к армянам и понимал национальные особенности местных условий. Благодаря своим личным качествам он сумел распространить дух солидарности в провинции Ван и впервые предпринял решительные меры по урегулированию армяно-курдских отношений, очистке провинции Ван от бандитов, подавлению сопротивления восставших шей- хов, решению спорных земельных вопросов и улучшению просветительской работы в губернии.
After the overthrow of the party Ittihat in 1913, Hassan Tahsin Bey was appointed the new governor of Van (1913–1915). Being an Ittihatian, he, unlike other Young Turks, was not an ardent nationalist. H. Tahsin had a friendly attitude towards Armenians and understood the national peculiarities of the local conditions. Thanks to his personal qualities, he managed to spread the spirit of solidarity in the province of Van and for the first time took drastic measures to settle Armenian-Kurdish relations, clean the province of Van from bandits, suppress the resistance of the rebellious sheikhs, resolve disputed land issues and improve educational work in the province.
INVOICE DATA EXTRACTION USING OCR TECHNIQUE
Authors:   KKR & KSR Institute of Technology and Sciences, Vinjanamapdu, Guntur Dt., Andhra Pradesh., Vijaya Dr. V. Krishna
Published: April 2024

Traditional invoice processing involves manual entry of data, leading to human errors, delays,and increased operational costs. The lack of automation results in inefficiencies, hindering organizations from promptly accessing critical financial information. This research addresses the pressing need for a reliable OCR-based solution to automate invoice data extraction, ultimately improving accuracy, reducing processing time, and enhancing overall business productivity. The project aims to automate invoice data extraction through Optical Character Recognition (OCR) techniques. Leveraging advanced image processing and machine learning, the system will analyze scanned or photographed invoices, extracting relevant information such as vendor details, itemized costs, and dates.This automation streamlines manual data entry processes, enhancing accuracy and efficiency in managing financial records. OCR invoicing is the process of training a template-based OCR model for specific invoice layouts, setting up input paths for these invoices, extracting data, and integrating the extracted data with a structured database. Keywords: Invoice, OCR, YOLO algorithm, Data Extraction, Image Processing, Database Integration.
Smart Parking System for Navi-Mumbai Airport
Authors:   Pursuing, Department of Civil Engineering, Datta Meghe College of Engineering, Airoli, Maharashtra, India, Sharma Himanshu
Published: April 2024

A commercial airport parking system has to deal with many problems such as unnecessary traffic congestion which is mainly caused due to the lack of smart and systematic parking. This eventually causes the time loss of the users while causing unwanted delays in their individual journey. Due to the lack of employees as well as inefficiency in their employment skills, the users again have to face various problems. All these problems ultimately lead to dissatisfaction in the experience of users. Its final capacity will be to handle 90 million passengers. Considering the problems mentioned above, we are providing a designed parking layout which includes a ground floor plan and a typical floor plan with all the basic amenities like washrooms, staircases, waiting areas, elevators, etc. This paper analyses a few parking apps and software and then suggests to build a dedicated app for the airport parking system which will help to counter the problems faced while enhancing the user’s experience. The smart features which should be included in the app are license plate recognition, online parking prepayment, parking guidance, vehicle Detection sensors and automated payment stations, unique code for the parking slot of the user's vehicle. Keywords – applications, airports, mlcp, Smart Parking systems, technologies
Garbage Classification Using Deep Learning
Authors:   Department of Computer Science and Engineering  Master of Engineering  Sethu Institute of Technology Pulloor, Kariapatti-626 115, M Mohammed Aaththish
Published: April 2024

Garbage disposal is a critical responsibility in maintaining a healthy and green environment. The recycling business is thriving as inhabitants of India become more aware of the necessity of a clean environment in terms of reducing natural resource use and rubbish disposal. The amount of trash generated in daily life has an impact on land, water, and air, posing a major threat to aquatic animals and their habitats, as well as humans, if not properly managed. Conventional garbage disposal systems are on the rise, requiring accurate and efficient segmentation and recognition processes. This demand corresponds to an increase in the computing capacity of modern computer systems as well as more efficient picture recognition methods. To address this issue, the garbage categorization process is automated by using an image classifier with a convolutional neural network (CNN), which reduces waste segregation time and costs. The goal of automating the process is to reduce human intervention and increase productivity in the waste segregation process. In this paper, three distinct models are tested for greater accuracy: Simple CNN, ResNet50, and VGG16 are trained on various image datasets and used to extract features from images, which are then fed into a classifier for dump/trash categorization. The learned models are then loaded into the mobile application.
Real Time Depression and Anxiety Detection Using Machine Learning
Authors:   Final Year Student, B.E, Department of C.S.E, Jawaharlal Darda Institute of Engineering and Technology, Yavatmal, India, Wankar Srushti Rajendra
Published: April 2024

Depression affects a staggering 264 million individuals worldwide, constituting a significant cause of disability. The detrimental impact of a negative workplace environment extends beyond productivity loss to encompass physical and medical ailments. Unfortunately, individuals often refrain from seeking help due to the pervasive stigma surrounding mental health issues. Leveraging the potential of machine learning, we have embarked on a journey to predict depression using diverse algorithms. Our study draws upon routine survey data, delving into factors such as home and workplace environments, family history of mental illness, among others. Recognizing and understanding the mental state of individuals, be it stress, anxiety, or depression, holds paramount importance in averting untoward incidents. Recent events, such as economic downturns, pandemic-induced fears, and social isolation, have contributed to a surge in depression and anxiety cases. Furthermore, there is compelling evidence indicating heightened social media usage among individuals with mental health disorders. Thus, we delve into the potential of online personas on social media platforms. Our work presents a comprehensive review of various methodologies employed in the literature for detecting depression, thereby shedding light on emerging trends and challenges. By identifying gaps in existing research, we aim to provide fresh insights and directions for researchers committed to advancing the field of depression detection. Key Words: Depression Detection, Machine Learning, Support Vector Machine (SVM), Accuracies, Human Being.
Analyzing Cancer Prognosis with Advanced Machine Learning Models
Authors:   Department of Computer Science and Engineering, Anurag University, Hyderabad, Telangana, Sreshta Maradapu Ananya
Published: April 2024

This study investigates the use of Support Vector Machines (SVM) and other machine learning algorithms for predicting the prognosis of lung, breast, and cervical cancer patients. The research evaluates the predictive accuracy, influential features, algorithm performance, and model generalization across different cancer types. Using publicly available datasets, the study highlights SVM's exceptional accuracy in prognosis prediction, with findings indicating its superiority over alternative algorithms. Notably, it identifies the key clinical, molecular, and pathological features that significantly impact predictive accuracy. The study also discusses the clinical applicability of these models, emphasizing their potential to aid healthcare professionals in making more informed treatment decisions. Acknowledging limitations, including data availability and computational resources, the study suggests future directions, encouraging the exploration of additional techniques, diverse datasets, and real-world clinical trials to validate the model’s effectiveness. Keywords Cancer, Medical Diagnosis, Markers, Learning, Patients, Machine Learning, Support Vector Machine
The Qumran Scrolls of the Book of Judges: Literary Formation, Textual Criticism, and Historical Linguistics
Authors: Rezetko Robert
Published: April 2024

This is a pilot attempt to combine literary-critical, text-critical, and historical linguistic approaches in an analysis of selected linguistic variants between the MT and DSS with an application to the book of Judges. The result of this interdisciplinary exercise is that future research on the history of BH will have to contend more earnestly with the “fluidity” (or “changeability”) of language and the “non-directionality” (or “patternlessness”) of linguistic variants in biblical texts.
Capítulo 23: Impactos do desmatamento e das mudanças climáticas sobre a biodiversidade, processos ecológicos e adaptação ambiental
Authors: Artaxo Paulo , Fonseca de Almeida-Val Vera Maria , Bilbao Bibiana , Brando Paulo M , Bustamante Mercedes , Coe Michael T , Correa Sandra Bibiana , Cuesta Francisco , Costa Marcos H , Miralles-Wilhem Fernando , Salinas Norma , Silvério Divino Vicente , Val Adalberto Luis
Published: April 2024

Este capítulo apresenta impactos observados e previstos das mudanças climáticas sobre os ecossistemas amazônicos, com foco em biodiversidade, serviços de ecossistemas, ciclos de carbono, pesqueiros e emissões produzidas pela queima de biomassa. Também considera os retornos sobre o clima e o uso da terra, e ressalta as a falta de conhecimento pertinente para melhor compreender essas interações complexas.
Capítulo 10: Interrelações fundamentais entre a diversidade cultural e biológica dos povos e ecossiste-mas da Amazônia
Authors: Athayde Simone , Shepard Glenn , Cardoso Thiago M , van der Voort Hein , Zent Stanford , Rosero-Peña Martha Cecilia , Almeyda Zambrano Angélica , Wawaeitxapôh Suruí Gasodá , Larrea-Alcazar Daniel M
Published: April 2024

Este capítulo explora a diversidade biocultural da Amazônia, com foco nas visões de mundo, sistemas de conhecimentos, estratégias de subsistência e sistemas de governança dos PICLs. Sintetiza os principais processos sociopolíticos que têm levado ao reconhecimento formal das terras e territórios PICLs em toda a Amazônia. Também destaca o papel fundamental dos PICLs no uso, formação, preservação e restauração dos ecossistemas e da biodiversidade da Amazônia, a despeito de processos históricos permanentes que incluem violência, desalojamento de povos de suas terras e conflitos entre as agendas de preservação e de desenvolvimento.
Capítulo 24: Resiliência da Floresta Amazônica às mudanças globais: Avaliação do risco de ocorrência de pontos de inflexão
Authors: Hirota Marina , Flores Bernardo M , Betts Richard , Borma Laura S , Esquivel-Muelbert Adriane , Jakovac Catarina , Lapola David M , Montoya Encarni , Oliveira Rafael S , Sakschewski Boris
Published: April 2024

Este capítulo examina e discute as evidências de mudanças contínuas no sistema da Floresta Amazônica que podem levar à perda de resiliência e à probabilidade de ultrapassarmos pontos de inflexão que levariam a uma mudança do ecossistema, gradual ou abrupta, em direção a uma configuração definitiva de degradação ambiental.
Capítulo 20: Causas e impactos das mudanças nos ecossistemas aquáticos
Authors: Fearnside Philip , Berenguer Erika , Armenteras Dolors , Duponchelle Fabrice , Mosquera Guerra Federico , Jenkins Clinton N , Bynoe Paulette , García-Villacorta Roosevelt , Macedo Marcia , Val Adalberto Luis , Fonseca de Almeida-Val Vera Maria , Nascimento Nathalia
Published: April 2024

Os ecossistemas aquáticos da Amazônia estão sendo destruídos e a expectativa é que as ameaças à sua integridade continuem a crescer em número e intensidade. Apresentamos neste estudo, alguns dos principais impactos sobre os ecossistemas aquáticos provocados por projetos de infraestrutura e práticas predatórias e ilegais.
Capítulo Cruzado 1: O Orçamento de Carbono da Amazônia
Authors: Gatti Luciana V , Melack John , Basso Luana S , Restrepo-Coupe Natalia , Aguiar Ana Paula , Pangala Sunitha , Saleska Scott R , Aragão Luiz E O , Phillips Oliver L , Armenteras Dolors
Published: April 2024

O principal objetivo deste capítulo cruzado é resumir a situação da Amazônia como fonte ou sumidouro de carbono (C). Os processos e estudos envolvidos são detalhados em outros capítulos do SPA. O principal desafio de determinar o status da Amazônia como fonte ou sumidouro líquido de C em escala continental é que muitos processos complexos contribuem para os fluxos de C.
Capítulo 2: Evolução da biodiversidade da Amazônia
Authors: Guayasamin Juan Manuel , Ribas Camila C , Carnaval Ana Carolina , Carrillo Juan D , Hoorn Carina , Lohmann Lucia G , Riff Douglas , Ulloa Ulloa Carmen , Albert James S
Published: April 2024

Este capítulo revisa a história evolutiva dos ecossistemas terrestres e marinhos da Amazônia, que envolveram eventos geológicos e climáticos durante milhões de anos por toda a América do Sul. O capítulo também discute a importância das barreiras geográficas, a heterogeneidade dos habitats, as mudanças climáticas e interações de espécies na geração e manutenção dos ecossistemas com maior biodiversidade no planeta. Essa história única produziu ambientes heterogêneos e habitats diversos em múltiplas escalas geográficas, que alteraram as conexões entre as populações e permitiram a criação da biota mais diversa da Terra.
Corporate governance and financial performance of oil and gas firms: The Nigerian experience
Authors: Onmonya Lucky , Ebire Kolawole , Lawal Kehinde
Published: April 2024

As a result of corporate scandals, governments and corporations around the world enacted a slew of laws and recommendations known as best practices codes. As a result, this study examines the effect of corporate governance on the financial performance of listed Nigerian oil and gas firms from 2012 to 2022. The sample size for the study was set at nine firms. Corporate governance was measured by board size, composition, independence, and audit committee size, while financial performance was measured by Return on Asset (ROA) and Return on Equity (ROE). The hypotheses were tested using fixed effect panel regression, which was informed by the Hausman test. Findings revealed that board size has a significant positive effect on ROA while board size have an insignificant effect on ROE. In addition, board composition has an insignificant effect on both the ROA and ROE. Furthermore, board independence has a significant negative effect on the ROA and ROE. Similarly, the size of the audit committee has a significant negative effect on ROA, while the effect on ROE was negative but insignificant. The study concludes that corporate governance significantly affect financial performance of listed oil and gas firms in Nigeria. The Security and Exchange Commission should ensure that listed oil and gas firms adhere strictly to the required board size since a larger board does not influence financial performance.
Forecasting Earthquake Using Machine Learning
Authors: Asma Allan Basilio , Aranas Peter John Berces
Published: April 2024

Many lives and properties were lost in the past due to unforeseeable deadly earthquakes in the Philippines, which encouraged the researcher to examine different models to achieve the best model utilizing machine learning to forecast earthquakes. The researcher employed ARIMA as the baseline model for DNN, RNN, LSTM CNN, and CNN+LSTM then compared neural networks to determine which model had the lowest error using MEA - mean absolute error. After comparing the MEA from the various models, LSTM had the lowest mean absolute error, implying that it is the best model for forecasting earthquakes.
Home Automation Using AI Tool
Authors: Vivek G. , Kumar M. Ranjith , Reddy Dr. P. Ajay Kumar , Sekhar Dr. V.
Published: April 2024

Home automation is becoming increasingly popular as people seek to simplify their lives and improve their living spaces. In this project, we explore how Husky Lens, an AI-powered image recognition sensor, can be used to control home automation systems with the help .of an Arduino board and a relay. By training Husky Lens to recognize different hand gestures or objects, we can use these gestures or objects to control various appliances or devices in our homes. For instance, a user can simply wave their hand in front of the Husky Lens sensor to turn on or off the lights or fan, or use an object such as a Smartphone to activate a door lock or a garage door. The system is built using an Arduino board to communicate with the Husky Lens and relay module, which in turn controls the appliances or devices. This provides a low-cost and customizable solution for home automation that can be easily expanded to incorporate additional features or devices.
A Tool for Converting Text to Braille Script to Empower Readability for Blind People
Authors: Siddiqui Abdullah Farhan , Misbahuddin Md
Published: April 2024

The utilization of Braille patterns has long been instrumental in facilitating literacy among visually impaired individuals, enabling them to decipher alphabets and numerals through tactile means. In this project, an innovative integration of Braille and servo motor technology is employed to render electronic text accessible to individuals with visual impairments. Each character within an electronic file is systematically translated into its corresponding Braille representation, with servo motors dynamically facilitating the tactile presentation of these patterns. Upon receiving input, the system activates the necessary servo motors, causing them to rotate 90 degrees above the surface, thereby bringing the Braille representations into physical contact with the user. To read the content, individuals simply touch these servo motors, allowing them to sense and interpret the encoded alphabetic or numeric information. This approach not only enhances accessibility but also promotes independent literacy among visually impaired individuals. By combining Braille with servo motor technology, this project offers a promising solution for overcoming barriers to information access, fostering inclusivity, and empowering individuals with visual impairments to engage with electronic text effectively.
Psicologia escolar e orientação profissional: o projeto OP Itinerante
Authors: Miranda Fabiana Darc , Santos Jonathas Ferreira , Moraes Juliana Silva , Faria Lariah Silva de , Dipe Júnior Luiz Fernando , Barreira Cristiane Rodrigues , Naama Daniella Rodrigues Miranda
Published: April 2024

O presente projeto tem o objetivo de apresentar uma intervenção psicossocial e educativa junto a um grupo de adolescentes que estão vivenciando questões relacionadas à escolha profissional. A intervenção foi realizada por meio de encontros de Orientação Profissional; e irá proporcionar — por meio de técnicas auxiliares, informações, questionamentos e pesquisas — reflexão sobre a questão da escolha profissional, auxiliando os adolescentes a realizarem uma escolha consciente. Os encontros foram realizados em escolas de ensino médio da cidade de Rio Verde, que estejam alinhadas a proposta por meio do termo de anuência. Contudo, durante o processo de escolha é necessário deixar claro que a escolha não é, necessariamente, permanente, pode ser mutável – a necessidade de se ajustar ao mercado de trabalho é cada vez mais constante, e deve acompanhar as inovações na área de atuação. Dentro do processo de escolha, o papel do orientador profissional é esclarecer situações, conscientizar e vinculara problemática do adolescente, frente à escolha do que será seu futuro, levando em consideração o contexto histórico e a localidade onde a escolha irá acontecer. Foram realizadas oficinas temáticas com os participantes, encontros para devolução das atividades, com participação de toda a comunidade acadêmica, coordenador, estudantes e instituição com seus demasiados representantes, gestores e coordenadores. Articulando as ações de forma coletiva. Com encontros semanais e mensais. Contudo, foi uma experiência de contribuição inigualável enquanto processo de formação profissional, exigindo mais estudo, comprometimento, criatividade, sensibilidade e olhar crítico.
Effect of transcranial direct current stimulation on functional walking capacity in children with cerebral palsy
Authors: Castro Caio Aparecido de Paschoal , Duarte Natália de Almeida Carvalho , Queiróga Amanda , Unzueta Veronica , Silva André Luís dos Santos , Araújo Marcela de Oliveira , Oliveira Cláudia Santos , Collange Luanda André
Published: April 2024

To investigate the effects of a single session of anodal transcranial direct current stimulation (atDCS) over the primary motor cortex (M1) or left temporal cortex (LTC) during treadmill training (TT) on functional walking capacity in children with cerebral palsy (CP). Seventeen children underwent TT combined with tDCS over M1, tDCS over the LTC and sham stimulation. The Six-Minute Walk Test was performed before, immediately after and 20 minutes after each intervention. TT combined with atDCS over the LTC resulted in a better performance in terms of heart rate, respiratory rate and perception of respiratory and physical effort. TT combined with tDCS over M1 and the LTC achieved similar results for gait speed and distance travelled on the test. Anodal tDCS can be considered a promising intervention for functional walking capacity in children with CP.
Effects of the nutraceutical myricetin on liver health: a systematic review
Authors: Grangeiro Neto Francisco Alves , Bomtempo Paulo Heinrich Soares , Silva Viviane Bezerra da , Almeida-Bezerra José Weverton , Rodrigues Joice Layanne Guimarães , Silva Nathallia Correia da , Morais Luís Pereira de , Bezerra Camila Fonseca , Maia Filho Ademar , Leandro Cicero dos Santos , Assis Juvêncio César Lima de , Costa Adrielle Rodrigues
Published: April 2024

This article presents a systematic review addressing the effects of the nutraceutical myricetin on liver health. Nutraceuticals are natural or bioactive substances known for their health benefits and their crucial role in the prevention and treatment of liver diseases. In this context, myricetin, a flavonoid found in various food sources, emerges as a relevant nutraceutical for liver health. This review analyzes 20 preclinical studies demonstrating the benefits of myricetin on liver health, including improvement in Non-Alcoholic Fatty Liver Disease (NAFLD), attenuation of liver injuries, and even its therapeutic potential in the treatment of liver cancer in animal models. However, it was observed that there is a lack of clinical trials that fully explore the potential of myricetin as a nutraceutical. Most existing research is based on preclinical studies, such as animal or cell experiments. Therefore, there is a need for clinical studies to assess the efficacy of myricetin in humans. Furthermore, future research approaches are suggested, including investigating the mechanisms of action of myricetin, determining optimal doses and long-term safety, and developing dietary supplements.