bluuebunny/crossref_metadata_2025 huggingface dataset:
Daily night-time lights reveal prolonging global electric power system recovery times following tropical cyclone damage
Authors: Mo Yu , Thomas Fred , Rui Jianan , Hall Jim W
Published: February 2025

Tropical cyclones are a leading cause of electric power outages, and the time required for power system recovery after storm damage is a critical measure of system resilience. However, systematically collected data on power supply disruptions are available for only a limited number of countries, leaving global patterns largely unexplored. In this study, we conducted the first global analysis of electric power system recovery times after 407 storms across 65 countries from 2012 to 2021, using satellite-based daily nighttime lights (NTL) observations to detect blackouts following storms. The median duration blackouts detected worldwide was 3 days, with a 5th-95th percentile range of 1 to 11 days. We found that high density urban areas had significant (P < 0.05) longer blackout events than low density urban areas and rural areas, which was driven by an upper tail of the events (95 quantiles of, respectively, 16, 12, and 11 days). Blackout durations have significantly increased over the study period (P < 0.05), with the rate of increase in rural areas (1.7 day/decade) nearly double that observed in urban areas (1 day/decade). The temporal variations in blackout duration in rural areas were significantly correlated with both storm attributes and pre-storm NTL brightness, whereas those in low-density urban areas were only correlated with storm attributes (P < 0.05 in all cases). These findings highlight the pressing need to strengthen the resilience of electric power systems to storms, particularly as global reliance on electricity grows and storm activity patterns shift in response to climate change.
Universality of closed nested paths in two-dimensional percolation
Authors: Song Yu-Feng , Jacobsen Jesper Lykke , Nienhuis Bernard , Sportiello Andrea , Deng Youjin
Published: February 2025

Recent work on percolation in d=2d=2 [J. Phys. A: Math. Theor. 55, 204002 (2015)] introduced an operator that gives a weight k^{\ell}kℓ to configurations with \ellℓ ‘nested paths’ (NP), i.e. disjoint cycles surrounding the origin, if there exists a cluster that percolates to the boundary of a disc of radius LL, and weight zero otherwise. It was found that \mathbb{E}(k^{\ell}) \sim L^{-X_{NP}(k)}𝔼(kℓ)∼L−XNP(k), and a formula for X_{NP}(k)XNP(k) was conjectured. Here we derive an exact result for X_{NP}(k)XNP(k), valid for k ≥ -1k≥−1, replacing the previous conjecture. We find that the probability distribution \mathbb{P}_\ell (L)ℙℓ(L) scales as $ L^{-1/4} (L)^ℓ[(1/ℓ!) Λ^ℓ]$ when \ell ≥ 0ℓ≥0 and L \gg 1L≫1, with \Lambda = 1/\sqrt{3} \piΛ=1/3π. Extensive simulations for various critical percolation models confirm our theoretical predictions and support the universality of the NP observables.
A METHOD FOR MEASURING SOUND VELOCITY BASED ON SMART PHONE APPLICATION
Authors:   School of Information Engineering, Nanjing Normal University Taizhou College, Taizhou 225300, China., Shen Jimei , Liu Jing ,   School of Information Engineering, Nanjing Normal University Taizhou College, Taizhou 225300, China.
Published: February 2025

This paper introduces a method to measure the sound velocity by using the standing wave in the common milk tea tube that Opened at both ends. Just two smart phones and a tube are used in the experiment. For these instruments are readily available, we neednt to go to the school laboratory. This inspires the students learning interest and enhances their practical ability.
HYPOTHYROIDISM DURING ONCOLOGY PROTOCOLS: A REPORT ON THREE CASES
Authors:   Department of Endocrinology, Diabetes and Metabolism, Mohamed 6 University Hospital - Faculty of Medicine and Pharmacy - Cadi Ayyad University - Marrakech - Morocco., Dassoufi Rania , Abainou Lahoucine ,   Department of Endocrinology, Diabetes and Metabolism, Military Hospital of Oued Eddahab Agadir- Morocco., Jadi Hamza El ,   Department of Endocrinology, Diabetes and Metabolism, Avicenne Military Hospital- Marrakech- Morocco., Meftah Azzelarab ,   Department of Endocrinology, Diabetes and Metabolism, Avicenne Military Hospital- Marrakech- Morocco., Baizri Hicham ,   Department of Endocrinology, Diabetes and Metabolism, Avicenne Military Hospital- Marrakech- Morocco.
Published: February 2025

Introduction:Hypothyroidism is commonly associated with different types of chemotherapy and immunotherapy. However, it remains largely unexplored, untreated, and is often neglected. We have reported 3 cases in order to highlight this endocrine consequence

Cases Report: The first two cases we reported were carriers of autoimmune thyroiditis with radio-biological confimation responsible for hypothyroidism. The first of them was followed up for colorectal carcinoma under chemotherapy with 5Fluorouracil based molecules and platinum drugs, the second case for metastatic pulmonary adenocarcinoma under immuno-chemotherapy: bevacizumab, paclitaxel and carboplatin. However, the last patient presented with hypothyroidism due to thyroid atrophy with negative immunological work-up, and was being treated for cavitary neoplasia with cisplatin and doxorubicin.

Discussion and Conclusion:Cytotoxic effects of chemotherapy due to ribonucleic/desocyrubonucleic alteration, followed by cell apoptosis concerns tumour tissue, but also rapidly metabolising tissues such as the endocrine glands, and particularly thyroid cells, causing thyroid atrophy. In the other hand, immunomodulatory effects are responsible for thyroiditis. While immunotherapies involve cytotoxicity of T lymphocytes, classically resulting in hypothyroidism sometimes preceded by thyrotoxicosis, leading in all cases to induced hypothyroidism.
KNOWLEDGE ABOUT HEPATITIS B VIRUS INFECTION AND ATTITUDE TOWARDS ITS VACCINATION AMONG INTERNS IN TERTIARY CARE CENTRE, UDAIPUR
Authors:   PG Resident, Department of Community Medicine, American International Institute of Medical Sciences, Udaipur, Rajasthan, India., Shrivastava Apoorv , W. Patil Sachin ,   Professor & Head, Department of Community Medicine, American International Institute of Medical Sciences, Udaipur, Rajasthan, India., Singhal Yogesh ,   Associate Professor, Department of Community Medicine, American International Institute of Medical Sciences, Udaipur, Rajasthan, India., Rao Malvika ,   PG Resident, Department of Community Medicine, American International Institute of Medical Sciences, Udaipur, Rajasthan, India., Jain Pratik ,   PG Resident, Department of Community Medicine, American International Institute of Medical Sciences, Udaipur, Rajasthan, India.
Published: February 2025

Background:Hepatitis B is the primary cause of illness and mortality worldwide. Interns are more likely to be exposed due to inexperience, inadequate training, and ignorance of protective measures. This studyevaluated interns knowledge about the hepatitis B virus (HBV) and their attitudes toward vaccination.

Methodology:A four-month cross-sectional study of 117 interns at the American Institute of Medical Science in Udaipur used a semi-structured, pretested questionnaire.The survey was divided into three sections: participants general information knowledge of HBV infection andtheir attitudes regarding their HBV vaccination status. The relevant statistical program, SPSS version 22 was utilized to analyze the data.

Results: The mean age of the participants was 25.82Â±1.79 years. The majority of participants knew about HBV transmission, risk, and prevention. Although only 44.67% were aware of the vaccination schedule, 88% of respondents recognized the Hepatitis B vaccines preventive benefits, and 90% had a positive view of interns risk. 84.67% believed the Hepatitis B vaccine was effective, and 86.67% thought it was safe. Knowledge of the HBV infection among interns was statistically substantially associated with gender, exposure to Hepatitis B patients, and Hepatitis B testing (P value<0.005).

Conclusion: Nearly every student in the current study had a positive attitude and good knowledge. The findings of this investigation showed that to stop the spread of this fatal infection, interns who are constantly at risk need to be made more aware of Hepatitis B.
Estimation of daily evapotranspiration using machine learning models in China: based on ChinaFLUX sites
Authors: Gu Haiting , Pan Suli , Ma Di , Bai Yu , Zhang Jinxin
Published: February 2025

Evapotranspiration (ET) is an important component of the hydrological cycle and its accurate estimation is very necessary for water resource management and agricultural precision irrigation. The direct measurement of ET is difficult and the observed data are very limited. Therefore, this study explores the possibility of a back-propagation (BP) neural network for simulating ET based on eight flux sites in China. The input variables consist of land surface temperature, the water vapor pressure of the land surface, net radiation, and photosynthetically active radiation. Four input combination categories are determined, including one input variable, two input variables, three input variables, and four input variables. The results demonstrated the following: (1) Adding more input variables generally improves model performance, with a significant gain from one to two variables, but only slight improvements from two to three. (2) While some stations show better performance with four variables, others perform best with three. (3) Daily and monthly ET estimates are achieved across all stations, with summer estimates consistently outperforming winter ones. (4) The variability in the best input combination for the stations indicates that factors such as climate zonesand land cover influence ET accuracy.
Use of water quality indices in environmental management in Argentina
Authors: Cicerone Daniel Salvador , Quaini Karina , Martín Pablo , Romeo Fabia
Published: February 2025

The aim of this work is to provide the contribution of water quality indices (WQIs) to environmental management of water resources, during the last three decades in Argentina. As part of the Latin America and the Caribbean region, one of the most water-rich regions in the world, monitoring and management of water stress has not always received enough attention. Particularly, if it is taking into account that due to high temporal and geographic variability in water distribution, it was, it is and it will be the main driver for the development of the activities of the country. A summary of the role of key actors involved in the integral management of water resources is presented, with particular emphasis in those ones responsible of the implementation of water quality monitoring programs and the management of environmental data coming from them. Finally, this work presents different WQIs that have been used in Argentina to assess decision-making. Two case studies (Matanza-Riachuelo River basin and Río de la Plata River) have been selected to show how one of them, the WQI of the Canadian Council of Ministers of Environment, has been implemented.
Environmental Management System in Micro and Small Enterprises: Case Study of Minimarkets in Brasília – DF
Authors: Almeida Alexandre Nascimento de , Angelo Humberto , Almeida Rodrigo Franco Flores Vidal de
Published: February 2025

The achievement of sustainable development depends on the actions taken by companies. Micro and small enterprises (MSEs) require special attention due to their large number and financial limitations for the adoption of green technologies.  The objective of the study is to analyze the main difficulties of minimarkets to implement an Environmental Management System (EMS), as well as to identify the benefits of this tool. The data were obtained from personal interviews with the owners of 19 minimarkets in Brasília – DF. For data analysis, the following techniques were used: 1) Correspondence Analysis and 2) Content Analysis. Financial difficulties, lack of qualified human resources and lack of information about the EMS were the main difficulties of the mini-markets in the DF to implement an EMS. The main benefits of this system were related to water and energy savings, reduction of waste of goods and improvement of the business image by customers. The main contribution of the work comes from the diagnosis carried out in minimarkets, which can support effective interventions for the environment.
Associação entre os Adoecimentos Respiratórios e as Queimadas no Município de Anápolis - Goiás: Um Estudo Ecológico de Série Temporal
Authors: Rocha Romulo Araujo da , Paz e Silva Andressa , Peixoto Josana
Published: February 2025

Os focos de calor decorrentes de queimadas podem trazer vários prejuízos à saúde humana, entre eles problemas respiratórios. Este trabalho buscou analisar os perfis temporais da distribuição de focos de calor detectados por satélites e as internações hospitalares por problemas respiratórios em crianças de 1 a 4 anos e em idosos acima de 65 anos na população residente no município de Anápolis, Goiás, no período de 2012 a 2021. A metodologia utilizada foi um estudo ecológico de série temporal. Foram utilizadas bases públicas de dados, disponíveis na Internet por meio das páginas eletrônicas do INPE, IBGE e DATASUS, de onde foram levantadas informações sobre focos de calor, área territorial, população e internações hospitalares, respectivamente.  A prevalência dos focos de calor em Anápolis segue o mesmo padrão de Goiás, entre os meses de julho a agosto. O período com maior incidência de focos de calor foi em setembro de 2017 e também foi o período com maior número de internações por problemas respiratórios. O estudo aponta para uma possível associação positiva entre o aumento de focos de calor detectados por satélites e das internações hospitalares por problemas respiratórios em crianças de 1 a 4 anos e em idosos acima de 65 anos. Como este é um estudo exploratório e descritivo, destaca-se a necessidade de mais estudos na área, visando melhor detalhamento, análise e exploração destes resultados.
Sustainable Development and Yield, Morphological, Biochemical and Ecotoxicological Characterization of Banana Peel Biofertilizer
Authors: Costa Juliana Dantas da , Silva Melissa Castro da , Aguiar Ana Beatrice Melo , Silveira Matheus Sousa , Costa Tamiris Bezerra , Castro-Silva Igor Iuco
Published: February 2025

Organic fertilizers derived from solid food waste, such as banana peels, represent a promising circular model for mitigating waste and enhancing biotechnological innovation. This study aimed at the sustainable development of a biofertilizer from discarded Musa sapientum peels. Fresh samples were obtained through selective collection in a university restaurant in the interior of Ceará and carried out quantitative indicators. Pilot study with four collections tested different time-temperature processing for dehydration and flour prototyping. Based on the best morphological aspects of pilots 3 and 4, the operational protocol was chosen for the second phase, with eleven collections subjected to a continuous cycle of automated dehydration at 70oC for 12h, grinding and sieving. The yields of each cycle were analyzed, considering the weight of wet and dry matter. Biochemical analysis detected the presence of the macronutrient nitrogen, phosphorus and potassium and pH in aqueous solution in quintuplicates. Ecotoxicological analysis was conducted in an Artemia salina model for 24h of direct contact with three batches of fertilizer in different concentrations and in quadruplicate. Banana peel was an economical option, and the chosen protocol provided a homogeneous product with medium grain size. Despite the substantial reduction in sample volume, there was a predictable yield of an average of 10.3%, suggesting potential for scalability. The concentration of macronutrients remained within the expected range for a fertilizer for acidic soils, with low nitrogen and high phosphorus and potassium content, which explains the alkalizing effect on pH. There was no toxicity at the low concentrations tested up to 10,000µg/mL, maintaining a lethal concentration below 50%. Banana peel flour showed favorable structural properties for use as biofertilizer. Future studies will be able to elucidate its effectiveness in green areas on the campus and the impact on environmental compliance of the endogenous demand for waste at the university.
Um Estudo de Viabilidade da Substituição de Copos Descartáveis por Reutilizáveis: Economia Circular e Redução de Resíduos na Universidade Estadual do Norte do Paraná
Authors: Brene Paulo Rogério Alves , Debiagi Flavia , Rangel Ronaldo Raemy , Silva Bruna da Conceição Costa , Bernardelli Luan Vinicius
Published: February 2025

O objetivo deste trabalho é discutir a substituição de copos descartáveis por copos reutilizáveis na Universidade Estadual do Norte do Paraná (UENP) como uma medida para reduzir os impactos ambientais negativos, promover a sustentabilidade e a circularidade na economia. Para alcançar o objetivo proposto, utilizam-se dados da UENP para o ano de 2024, calculando o Valor Presente Líquido dos investimentos em diferentes cenários. A partir da análise de de diferentes cenários e horizontes, constata-se que a substituição é vantajosa em todos os casos. A conclusão ressalta não apenas os benefícios ambientais e econômicos da mudança, mas também a importância de promover uma cultura de sustentabilidade na universidade. A transição para copos reutilizáveis é vista como parte de um esforço mais amplo para promover práticas de consumo responsáveis e contribuir para os Objetivos de Desenvolvimento Sustentável (ODS).
Percepção Ambiental da População e a Qualidade da Arborização Urbana: Uma Comparação entre Dois Bairros de Bauru, São Paulo
Authors: Souza Gabriela dos Santos , Carolina Marcela , Siqueira Marcos Vinicius Bohrer Monteiro
Published: February 2025

Para um planejamento eficiente da arborização urbana deve-se considerar a percepção da população, a fim de trazer para os munícipes uma sensação de apropriação e responsabilidade destes locais; já que as manutenções não serão realizadas somente pelo poder público, mas também pela população. Objetivou-se avaliar a percepção ambiental da população dos bairros Santa Luzia e Araruna (SP) sobre a arborização urbana e verificar a relação com a qualidade arbórea local. Foram aplicados 300 questionários estruturados, 150 em cada bairro, a fim de caracterizá-los e avaliar suas percepções quanto a arborização. Com o auxílio da Secretaria Municipal do Meio Ambiente foi realizado a caracterização das áreas verdes e praças dos bairros, e ainda um levantamento arbóreo nos passeios públicos. Constatou-se que o bairro Santa Luzia possui 44% mais árvores e mais áreas públicas ajardinadas para lazer. A espécie mais observada nos dois bairros foi o Oiti (Licania tomanetosa (Benth.) Fritsch). A sombra foi o benefício mais citado no Jardim Araruna (74,7%) e 28% dos entrevistados não pretendem plantar mudas mesmo não tendo árvore na calçada. No Santa Luzia 72,7% veem a sombra como a principal vantagem e 16% não querem plantar mudas em suas residências. Concluiu-se que os bairros apresentaram respostas semelhantes em relação à percepção ambiental, apresentando no geral uma visão positiva quanto à arborização. Santa Luzia apresentou mais ações práticas, o que permitiu constatar que somente a percepção positiva em relação a arborização não são suficientes para desencadear ações na arborização urbana.
Russia in the system of modern international relations through the eyes of young people: multipolarity and international security
Authors:   Penza State University, V. Rozhkova Liliya , V. Salʼnikova Olga ,   Penza State University
Published: February 2025

Background. Russia today seeks to play significant role in the world order system, acting as major player in the international arena in processes of ensuring global security, stability and sustainability of international system. The purpose of the study is socio-logical analysis of youth perception of multipolar world ideas and international security architecture. Materials and methods. The study of young people’s assessments of international relations modern system and Russia's role in it is based on materials of the author's research in 2024, analysis of documents on foreign policy, international and national security of the Russian Federation. Results. Based on theoretical analysis and documents of the Russian Federation understanding of “multipolarity” concept is analyzed, models of international security are considered, perceptions of youth about transnational challenges, threats, as well as the role of Russia and international organizations in maintaining security and peace are investigated. Conclusions. Over the past few years, Russia has been actively promoting ideas of multipolar world, striving to form more sustainable system of international security and seeing its global role in this process. Youth believe that the key criteria for multipolarity are the sovereign equality of countries and cooperation with balance of interests. Stability in ensuring international security can provide counteraction to policy of double standards. However, according to youth's self-assessments, the UN has little influence in process of ensuring stability. Russia is a guarantor of peace and security.
Constitutional and legal bases of witness immunity of human rights commissioners
Authors:   Penza State University, V. Sintsov Gleb , E. Feoktistov Danil ,   Penza State University
Published: February 2025

Background. The article examines the constitutional and legal nature of witness immunity of Russian ombudsmen. The authors conduct a comparative analysis of constitutional legal norms and norms of procedural legislation regarding the regulation of this legal immunity. Materials and methods. To achieve the purpose of the study, the authors used formal legal and comparative legal methods. Results. Gaps and contradictions in the content of witness immunity are identified: the norms of individual procedural codes contain differ-ent rules for the application of witness immunity (Code of Criminal Procedure of the Rus-sian Federation), do not give immunity to all ombudsmen (Code of Administrative Proceed-ings of the Russian Federation) or do not contain such legal immunity at all (Code of the Russian Federation on Administrative Offenses of the Russian Federation). Positive trends in the legal regulation of witness immunity of ombudsmen have been identified: the norms of the criminal procedure code have been supplemented by rules on witness immunity of federal and regional ombudsmen; the norms of civil procedural legislation have vested im-munity in authorized persons of general and special competence. Conclusions. In addition to the need to eliminate gaps and contradictions in the regulation of witness immunities of Russian ombudsmen, the issue of waiving witness immunity on the part of the ombudsman is being discussed only with the consent of the person in whose interests the witness im-munity was granted. Key words: ombudsman, human rights commissioner, witness immun-ity, confidentiality, personal secret, professional secret.
Mulheres nos programas de pós-graduação stricto sensu no Brasil
Authors: Maciel de Azevedo Jackeline , Barbosa Hanna Karoliny Feitosa , Guena Marcia
Published: February 2025

Este artigo tem por objetivo conhecer e analisar o perfil racial e de gênero das discentes nos Programas de Pós-Graduação stricto sensu no Brasil entre os anos de 2017 e 2020, a partir dos dados disponibilizados pela Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) com enfoque na discussão de raça e gênero aplicando a óptica da interseccionalidade. Assim, partindo desses indicadores, realizou-se um mapeamento do quantitativo de mulheres brancas, pardas e pretas que estão nesses programas. Tendo a finalidade de identificar possíveis influências de fatores relativos ao gênero e ao pertencimento racial na ocupação desse ambiente formativo, que historicamente se firmou enquanto espaço da ciência preponderantemente eurocêntrico. Para tanto, utilizou-se uma abordagem qualitativa, com revisão de literatura à luz das discussões de Crenshaw, Grosfoguel, Lugones, Maldonado-Torres, Perrot, Gonzalez, Carneiro, Bento, Santos, entre outras. Os resultados observados apontam que o conhecimento científico, a partir do viés de gênero e raça, assume, paulatinamente, um processo decolonial provocado pelas mudanças paradigmáticas acerca do papel da mulher na produção do saber acadêmico.
Electronic Healthcare Data Security Using Blockchain
Authors: Tiwari Sharda , Dhanda Namrata , Dev Harsh
Published: February 2025

In this paper, a blockchain-based healthcare security system as a solution for
preventing data forging is proposed. The proposed model for healthcare data security is
based on blockchain and its smart contract execution in a secure way. We proposed a
system where users can access the open surveys and participate in these surveys.
Moreover, their answers cannot be changed by anonymous or 3rd party people with
smart contract control. At the same time, to ensure the confidentiality of the patient’s
data, we kept the hashed value of the information we collected from the patient’s
survey data as evidence and the encrypted version so that data can be used for the
evaluation, in the relevant storage units of the generated decentralized application.
GIS Mapping of High Sewage Areas in India and Sustainable Design of Sewage Disposal System
Authors: Kumar Sachin , Kumar Manish , Kacker Shreeja
Published: February 2025

The current study focuses on designing sustainable sewage disposal systems
for high-sewage locations in India by using ArcGIS software for GIS mapping. The
study maps and examines the spatial distribution of sewage and disposal across the
nation using ArcGIS software, which integrates data from multiple GIS sources such as
census information, satellite images, and municipal records. The performance of the
current sewage disposal systems in high-sewage locations in terms of upholding
environmental and public health requirements is examined and evaluated in this article.
Of the sewage generated in India, more than 62,000 million liters per day (MLD) are
processed, according to the Central Pollution Control Board (CPCB) (2019). Water
bodies receive the discharge of untreated sewage and pose a serious risk to human
health and water pollution. In high-sewage locations—urban slums and peri-urban
areas, for example—where sewage treatment infrastructure is either non-existent or
insufficient, the situation is terrible. The study uses GIS mapping techniques to locate
high-sewage regions in India using ArcGIS software. Then, it examines the features of
these places, including socioeconomic level, housing conditions, and population
density. According to the research, places with high sewage levels are primarily found
in metropolitan and peril-urban regions that have dense populations and inadequate
sanitary infrastructure. In high-sewage locations, the study also shows that the current
sewage disposal systems are mostly insufficient and need to be upgraded in order to
comply with environmental and public health regulations. The study suggests a
sustainable sewage disposal system design for a specific Greater Noida high-sewage
area that combines social and technical sewage management. In order to treat sewage at
the source and lessen the strain on the centralized treatment plants, the design makes
use of decentralized sewage treatment systems, such as septic tanks and anaerobic
digesters. The design also places a strong emphasis on the use of affordable and
energy-efficient technologies. The study concludes that because the suggested
sustainable design incorporates the local community's active engagement in the sewage
treatment process, it is both socially and economically acceptable.
A Review of Applications Combining Blockchain Technology with Artificial Intelligence
Authors: Pandey Ashish , Singh Ramander , Sharma Anubhav , Agarwal Pragya , Garg Ankit
Published: February 2025

The adoption of AI and blockchain paradigms is moving very quickly in the
market. Although each has its own advantages, there are differences in the complexity
and the level of innovation. Automated payments in the digital age are possible thanks
to blockchain technology, which also ensures the secure, decentralized transmission of
information, documents, and personal data. At the moment, blockchain and artificial
intelligence are the two technologies that are most frequently discussed. Blockchain
can automate Bitcoin transactions, providing users with decentralized, trustworthy, and
secure access to a shared ledger of transactions, records, and data. Smart contracts on
the blockchain can also control user behaviour without the need for centralized
administration. AI, on the other hand, gives robots intelligence, cognition, and
decision-making capabilities similar to those of humans.This insight has led to a thorough analysis of the blockchain and AI advancements that
have occurred between 2012 and 2022. A review of 121 articles from the past ten years
that evaluate the present status of blockchain and AI technology and support its use in a
variety of sectors has been done. This study's main objective is to examine how these
two technologies have been integrated. Additionally, the focus has been shifted to
examining the shortcomings, gaps, and problems of this combination through literature
research in the field.
Investigating Technology Adoption and Consumer Behaviour in Digital Age
Authors: Singhal Ritesh Kumar , Garg Ankit , Agarwal Pragya , Jaiswal Gautam
Published: February 2025

The rapid advancements of equipment and technology, economic
globalization, and other external factors are causing a shift in consumer behavior.
Researchers have employed theories from various allied disciplines, such as
psychology, sociology, economics, behavioral economics, and anthropology, to
examine and understand consumer behavior.The advent of information and telecommunications technology has greatly enhanced
the efficiency and timeliness of communication, facilitating the seamless exchange of
information within and outside organizations. Nevertheless, the use of these
technologies presents challenges for both businesses and society, potentially
detrimentally impacting consumer behavior.
Research on consumer behavior in electronic environments indicates that information
technologies generate distinct and dynamic patterns of behavior, which differ from the
typical interactions and transactions observed in traditional marketplaces. The study
identified idiosyncrasies in behavior that were caused by information and
communications technologies.
A Smart System for Tracking and Analyzing Human Hand Movements using MediaPipe Technology and TensorFlow
Authors: Singh Mahesh Kumar , Singh Arun Kumar , Choudhary Pushpa , Singh Pushpendra , Singh Akhilesh Kumar
Published: February 2025

Gesture recognition is the latest and the most popular technology nowadays.
The main aim of this technology is to recognize human body parts using mathematical
algorithms MediaPipe and TensorFlow. The hand is a very important part of the human
body for performing any activity. The detection and analysis of body language have
recently gained a lot of attention. In this paper, we look at the skeleton poses of a
person. It is easy to grasp and have images with low dimensionality statistics. Underfed
interpretations generalize a person's appearance and background, allowing them to be
identified. This paper describes a real human chasing channel capable of anticipating
the structure of both hands and the location of the fingers, focusing on motion
recognition, and creating virtual hand brushes that can be very beneficial and easing
activities like the selection of colors and paintings in combination with paint art. This
paper, which uses hand gesture detection and has a 95% confidence accuracy rate, was
built using MediaPipe, a deep learning framework, in addition to assessing numerous
static or dynamic hand motion detection methods.
Empowering Sustainability: Leveraging Green Technology to Drive Environmental Responsibility in Organizational Behavior
Authors: Mittal Himanshi , Diwakar Ashish , Tomer Vipin Kumar , Chaudhary Shilpa
Published: February 2025

Green technology promotes a different perspective on growth and
development, urging firms to collaborate and utilize knowledge and resources to
establish and execute sustainable solutions. The objective of this study is to examine
the correlation between green technology and organizational practices in order to
enhance sustainability. In response to growing environmental concerns, corporations
must strive to achieve sustainable growth by efficiently using green technology while
fulfilling their environmental duties. Green technology not only has a positive impact
on the environment but also fosters creativity and generates novel business prospects.
Commonly known as environmental technologies, their objective is to safeguard the
environment through the mitigation of pollution, promotion of sustainable
consumption, and prevention of natural resource depletion. Incorporating green
technology in corporate behavior not only showcases environmental responsibility but
also yields many advantages for firms, employees, and society. Implementing
sustainable practices can have a beneficial effect on employee morale and productivity,
as employees feel a sense of satisfaction in being part of an organization that prioritizes
sustainability and actively contributes to a more favorable future. Through the adoption
of sustainable practices and the allocation of resources towards environmentally
friendly technology, companies may cultivate a more prosperous and resilient future
for both themselves and future generations.
A Systematic Review: Technology for Battery Management System
Authors: G. Divya , S. Venkata Padmavathi
Published: February 2025

Electric vehicles have garnered significant attention in recent years due to
their little environmental impact and reduced maintenance expenses. Despite its
numerous benefits, the primary drawback lies in the need for more charging stations
and infrastructure. Therefore, it is crucial to accurately estimate the state of charge
(SOC) of the battery and determine the position of a nearby battery station for battery
switching or charging. This paper discusses two previously conducted research studies
and their potential future advancements. The first study focuses on utilizing the Internet
of Things (IoT) to educate vehicle owners about the battery health monitoring of hybrid
electric vehicles (HEV). The Internet of Things (IoT) is crucial for the supervision and
management of batteries. Furthermore, a charging station equipped with battery
swapping/charging capabilities is provided to owners of hybrid electric vehicles
(HEVs) through the utilization of advanced technology.
Mortalidad de mamíferos terrestres medianos a grandes en carreteras del estado de Tamaulipas, México
Authors: Gómez Moreno Vannia del C. , Niño-Maldonado Santiago , Medellin Rodrigo A. , Ponce Marroquín Melissa
Published: February 2025

Las carreteras con su tráfico vehicular tienen un impacto negativo sobre el medio ambiente y representan una amenaza para los mamíferos terrestres. En México, la información sobre las especies de mamíferos silvestres con mayor frecuencia a ser atropelladas y sobre los factores que influyen es limitada. El objetivo de este estudio fue identificar las especies con mayores tasas de mortalidad, conocer los tramos carreteros con mayor número de cadáveres y analizar factores que contribuyen al aumento de la mortalidad de los mamíferos, como el tipo de hábitat y la presencia de cuerpos de agua cercanos en carreteras en el estado de Tamaulipas. Para ello, se realizaron muestreos mensuales a lo largo de un año (julio 2021-junio 2022) en cuatro carreteras, con 12 visitas cada una para un total de 48 visitas. Se obtuvieron un total de 64 registros que correspondieron a 22 especies de mamíferos, siendo Didelphis virginiana (N=14) y Canis latrans (N=ocho) las más afectadas. Los meses con mayor mortalidad fueron febrero, abril y octubre. Además, se identificó que la carretera Victoria-Monterrey (MEX-085) presentó una mayor abundancia de cadáveres (20 ejemplares). La vegetación cercana a las carreteras fue una variable que influyó en la mortalidad de los mamíferos. Es crucial seguir investigando para identificar áreas de riesgo y aplicar medidas de mitigación que conserven la fauna silvestre en las carreteras de Tamaulipas.
Anticipatory Care Plan for End-Stage Chronic Kidney Patients – Case Report
Authors: Menezes Ana Marta , Silva Dalila , Simões Catarina , Figueiredo Rita
Published: February 2025

Chronic Kidney Disease is characterized by progressive, persistent, and irreversible loss of kidney function, with a high prevalence and increasing trend in the population. An important observation, common to all recent studies, is the constant changes experienced by these individuals. Analytical changes, health status and the patient's preferences should be considered when planning anticipatory care at any phase of the disease. To comprehend the significance of the Anticipatory Care Plan for Patients with End-Stage Chronic Kidney Disease, a descriptive case report was conducted following the Case Report (CARE) guidelines. This case involves an 87-year-old male undergoing hemodialysis since 2020. His medical history includes diabetes, chronic wounds in the lower limbs, and frequent emergency room visits due to severe dyspnea and worsening of wound conditions. Upon observation, the patient appeared to be in significant distress, with generalized edema, skin the presence of respiratory noises and dyspnea, dry skin, and complaining of grade 7 pain in the lower limbs. The family had limited information about the situation. Symptomatic management of pain and dyspnea became imperative, alongside the determination of an appropriate anticipatory care plan. The case report highlights the necessity and importance of implementing an anticipatory care plan so that, even at the end of life, the wishes of the patient and their family are fulfilled, improving the quality of life for both. Developing the anticipatory care plan at an earlier stage, with the involvement of the patient, family, and healthcare professionals, is associated with improved patient comfort outcomes.
Factors Determining Digital Transformation Framework in Egypt: IT Industry: Insistence on Customer Centricity
Authors: Elhameed Ahmed Taha Abd
Published: February 2025

Digital transformation concept has become a significant business topic that must be addressed in any organization and
it should be used in a strategic way in order to achieve the business objectives and enable the organization to reach its desired
future state. Digital transformation could be divided into two types or two categories, (1) digital transformation related to the top
line growth, (2) digital transformation related to bottom line performance, the key problem that face the IT organization in Egypt
is the lake of the first type which leads the organization to a fake digital transformation by just performing a group of IT related
projects. This paper tried to merge the digital transformation and customer centricity, by developing a customer centricity based
digital transformation framework that could be used by IT organization in Egypt to perform a real digital transformation not a
fake one. The proposed digital transformation framework contains five layers: Controlling principle layer, guiding and directing
layer, fuel layer, implementation layer and supporting layer. The proposed framework contains 12 elements, these elements are:
customer centricity, organization strategy, digital transformation strategy, innovation management, project management,
technology, resources, human resources, change management, intern business environment, external business environment and
legal and regulation.
Smart Casa: Transforming India\'s Residential Landscape through IoT & Automation.
Authors: Kukreja Dr. Mansi
Published: February 2025

The rapid growth of IoT and home automation is reshaping residential living, with Smart Casa at the forefront of this
revolution. This paper explores Smart Casa’s vision to transform India’s residential landscape through cutting-edge smart home
solutions.
By leveraging advancements in IoT, AI, and cloud computing, Smart Casa offers energy-efficient, secure, and convenient home
automation systems tailored to the needs of modern households. The operational plan outlines key aspects, including product
development, supply chain optimization, customer service, and technology integration, ensuring seamless functionality and
scalability. The study highlights market opportunities, such as energy management, home security, and elderly care, while
addressing challenges like privacy concerns and high initial costs. Smart Casa’s commitment to sustainability and innovation
positions it as a leader in India’s burgeoning smart home market, empowering residents to embrace a smarter, safer, and more
connected lifestyle
Human Stress and Zone Based Vehicle Speed Control
Authors: Caroline S Sarah
Published: February 2025

The "Human Stress and Zone-Based Vehicle Speed Control" system is a cutting-edge strategy created to improve road
safety by combining automated speed limitation in specified zones with real-time driver stress monitoring. This system uses a
variety of physiological sensors, including temperature, galvanic skin response (GSR), and heart rate monitors, to continuously
track signs linked to driver stress. The device dynamically modifies the speed of the vehicle when it detects high levels of stress to
reduce the risk of distracted driving or delayed reaction times. Additionally, in crucial locations like hospital and school zones,
radio frequency identification, technology is used to control vehicle speed.
The system then automatically reduces the vehicle's speed to comply with the designated limit, enhancing safety without
requiring driver intervention. By combining driver-centric stress monitoring with environment-specific speed control, this system
addresses two significant factors contributing to road accidents: driver stress and speeding in sensitive zones. This dual approach
not only promotes safer driving practices but also ensures better adherence to traffic regulations, ultimately contributing to a
reduction in traffic-related incidents. In conclusion, the "Human Stress and Zone-Based Vehicle Speed Control" system
represents a comprehensive solution to enhance road safety by leveraging advanced technologies to monitor driver stress and
enforce speed regulations in critical zones.
Enhancing Public Safety and Traffic Management: A Machine Learning Solution for Missing Vehicles and Smart Signaling
Authors: M Vidyashankar
Published: February 2025

This paper presents a system for missing vehicle tracking and smart traffic signaling using machine learning,
embedded systems, RFID, and OpenCV. The missing vehicle tracking component uses RFID tags and readers at strategic
locations to identify and track vehicles. Upon a theft report, the system activates tracking, utilizing RFID data and potentially
integrating with other tracking mechanisms (e.g., GPS if available) to locate the vehicle. The smart signaling system employs
OpenCV and cameras to analyze real-time traffic flow. Machine learning algorithms process this visual data to predict
congestion and dynamically adjust signal timings for optimized traffic flow. The system integrates these two aspects: in the event
of a stolen vehicle being identified via RFID, the smart signaling system can prioritize traffic flow in the vehicle's direction,
aiding in recovery. This combined approach aims to reduce vehicle theft, improve traffic management, enhance safety, and
contribute to cost savings through optimized traffic flow and faster vehicle recovery.
Protection Challenges and Fault Diagnosis in PV Systems: A Critical Review
Authors: Kumar Prakash
Published: February 2025

With the rapid expansion of global photovoltaic (PV) power capacity, ensuring the protection of PV systems has
become increasingly crucial over the past few decades. Despite the incorporation of standard protection devices, certain faults
within PV arrays may go undetected. Motivated by the growing demand for reliable fault detection methods, numerous advanced
techniques have been proposed in recent years. This paper provides a comprehensive analysis of various fault occurrences, the
challenges associated with protection, and the potential consequences of undetected faults in PV systems. Additionally, it
critically reviews a wide range of fault detection algorithms and techniques that have been proven to be both effective and
practical for implementation. Beyond merely surveying existing methods, this study evaluates each technique based on key
factors such as: 1) Methodology, 2) Sensor requirements, 3) Fault diagnosis and localization capability, 4) Integration
complexity, 5) Accuracy, 6) Applicability, and 7) Implementation cost. Ultimately, this paper serves as a valuable resource for
researchers in the field of PV systems, assisting them in advancing their work and developing more reliable fault detection
strategies.
A lógica da “conta inversa”: rentabilidade imobiliária e interesse público no projeto urbano PIU Vila Leopoldina-Villa-Lobos em São Paulo
Authors: Almeida Isadora Marchi de , Santoro Paula Freire
Published: February 2025

Este artigo investiga mudanças nas lógicas que embasam instrumentos urbanísticos que funcionam como políticas habitacionais inclusivas relacionando sua literatura ao estudo de caso do Projeto de Intervenção Urbana Vila Leopoldina-Villa-Lobos (PIU-VL) na cidade de São Paulo. O caso revela uma mudança nos mecanismos de financiamento na qual o modelo tradicional de captura da mais-valia calculada segundo o potencial construtivo disponível na área se transformou em uma “conta inversa” em que o custo da execução das intervenções de interesse público (composto principalmente da habitação) se torna o valor a ser capturado. A conclusão a que se chega é de que a “conta inversa” se aproxima de dinâmicas das parcerias público-privadas, traz riscos de subordinação do interesse público à lógica imobiliário-financeira e está estruturada com base na rentabilidade imobiliária privada como ponto de partida, mas, principalmente, como limitador das intervenções de interesse público, fragilizando compromissos do poder público perante a população afetada.
Cutting circuits with multiple two-qubit unitaries
Authors: Schmitt Lukas , Piveteau Christophe , Sutter David
Published: February 2025

Quasiprobabilistic cutting techniques allow us to partition large quantum circuits into smaller subcircuits by replacing non-local gates with probabilistic mixtures of local gates. The cost of this method is a sampling overhead that scales exponentially in the number of cuts. It is crucial to determine the minimal cost for gate cutting and to understand whether allowing for classical communication between subcircuits can improve the sampling overhead. In this work, we derive a closed formula for the optimal sampling overhead for cutting an arbitrary number of two-qubit unitaries and provide the corresponding decomposition. We find that cutting several arbitrary two-qubit unitaries together is cheaper than cutting them individually and classical communication does not give any advantage.