bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of the appearance of early Ondol dwellings in the south coast of Korea and the culture of the Iron Age in Russia’s Primorsky Krai
Authors:   Yeongnam Archaeological Review, Kim Jae Youn
Published: October 2023

In this paper, we investigated the relationship with Neukdo by comparing and analyzing the ridge dwellings of the Tuanjie-Krounovka culture in the Russian Maritime Province and the bone mound remains of the Yankovsky culture.
The plan and cross-sectional shapes of the early Ondol identified here are the most common structures in Nekdo Island. Most of the stone pits were installed around the 2nd century BC, when the period of the Nekdo ruins began. A large amount of deer bones, antlers, and bone fragments are produced on Nekdo Island, but most people were of the opinion that they could not be supplied from the island.
In particular, there was an opinion that the two ulna stabs were not an important item in Nekdo, where small iron knives were used, but in the Yankovsky culture, they were mainly used along with iron knives. Also, ornaments with patterns can be seen in the Jankovky culture. Fishing hooks, knives, bone needles, and split harpoons are commonly found. Nekdo’s ‘bone sword’ may be a reproduction of the stone spear of the Yankovsky culture. ‘boggol’ were excavated, but only a small number of them were used, so they were not mainly used.
The early Ondol dwellings and bone carvings found on Nekdo Island are a characteristic of the Tuanjie- Krounovka culture and Yankovsky culture of the Maritime Province and the northeastern region, and they provided deer meat and bone carving equipment to Nekdo Island. To prevent corruption, they would have lived on Nekdo Island only in the winter. In the ruins of Nekdo Island, the early Ondol dwellings used for wintering are located on the shell floor or nearby. This shows that decomposition of shellfish was not possible in severe summer and was possible only in winter.
The relationship between culture Tuanjie-Krounovka and Yankovsky, which occupied the coast of the Maritime Province since the 3rd century BC, should be studied in the future. In addition, research on the burial methods of Yankovsky culture will be revealed through a separate paper.
Multi-Factorial Employee Retention Theory
Authors: Balisi Adnan N.
Published: October 2023

Employers are often seen as the leaders of their respective organizations. They are responsible for making important decisions, managing employees, and ensuring the success of the business. Employers, who are leaders in their organizations, are people who inspire and motivate others. They have a clear vision and are able to communicate it effectively to their team. They lead by example and are willing to take risks in order to achieve their goals (Saini & Jawahar, 2019). Moreover, they are the ones who are able to adapt to changes and think creatively. They are not afraid to challenge the status quo and are always looking for ways to improve. Employers who possess these qualities are more likely to succeed in today's fast-paced and ever-changing business world.
An ASSESSMENT of the DISASTER PREPAREDNESS of the BARANGAY (VILLAGE) DISASTER RISK REDUCTION AND MANAGEMENT COMMITTEES of the TAGOLOAN RIVER BASIN COMMUNITIES in SOUTHERN PHILIPPINES
Authors: Nacaya Ian Mark Q , Raagas Ester L , Sinco Astrid L
Published: October 2023

Climate-related hazards pose significant threats to communities worldwide, necessitating all governments to be at all times on high alert. Local governments, as required by law, should implement measures that would mitigate risk exposure to their constituents. This study utilized three research-made data gathering tools. Results revealed that the tasks of the Barangay (Village) Disaster Risk Reduction and Management Committees (BDRRMCs) in the river basin communities on disaster preparedness were at the low level. As a whole, the performance of the BDRRMCs is poor (2.45). This is broken down into building of competencies (poor = 2.72) and acquisition of hardware and supply (poor = 2.18). The results indicate that the BDRRMC leadership of the Tagoloan River Basin (TRB) communities has very limited capability with respect to its level of BDRRM Committee performance in the context of Building of Competencies as a component of disaster preparedness. The data also imply that the tools/facilities/materials, as sub-indicators of BDRRMC according to disaster preparedness, are not fully in existence and not available to many of the TRB barangays. There is a cogent need for all government offices handling the DRRM functions to provide appropriate attention at the community level for the proper implementation of the DRRM Plan.
Radio Mobile Communications Systems Antenna’ Analysis and Design
Authors: Omar Saleh , Chibani Belgacem
Published: October 2023

In this paper, a 4G and 5G microstrip patch antenna (MSPA) design and performance analysis for fifth-generation communication systems is presented. The antenna is designed using FR-4 substrate material with thickness of 1.1 mm, and dielectric constant (εr) of 4.3.This antenna is previewed to operate at 4.2 GHz for 4G and this will also be used with 28 GHz for 5G. Analysis was conducted using CST (Computer Simulation Technology) simulator. The simulation results are shown for these frequencies. This is explained including their respective bandwidths, HPBWs and gains. Tested antenna shows a good gain of 4.38dBi at 4G frequency of 5GHz and an excellent gain of 7.85dBi for 5G frequency at 27GHz. Results are enabling this antenna for 4G and 5G network mobile application.
An Automated System for Sleep Apnea Detection
Authors: Nasser Shatha , Elfadil Nazar
Published: October 2023

Sleep apnea (SA) is a common sleep-related breathing disorder that can occur hundreds of times per night and can lead to catastrophic cardiovascular and neurological disorders if it happens frequently enough. Polysomnography (PSG) is the standard diagnostic tool for sleep apnea. However, it requires suspected patients to spend one to two nights in the lab and capture roughly 16 signals under professional supervision. The broad use of PSG in public health applications is hampered by complex processes. Some researchers have recently advocated using a single-lead ECG signal to detect SA. These techniques are based on the assumption that SA only uses the current ECG signal segment. SA, on the other hand, is time-dependent; that is, the SA of the preceding ECG segment has an impact on the current SA diagnosis. The authors present a time window artificial neural network that takes advantage of the time dependence between ECG signal segments while requiring no prior assumptions regarding training data distribution. The proposed method's performance has been greatly improved when compared to classic on-time window machine learning approaches as well as previous work after being verified on a genuine ECG signal dataset.
A Review on Topical GEL Formulation for Psoriasis Treatment
Authors: Padiyar Khushi , Gawshinde Arpit , Tikariya Komal , Atneriya Umesh , Solanki Dharmendra
Published: October 2023

According to the research Psoriasis disease is widely show in human at recent now, this is a long term disease it is triggered by the genetic issue, bed habit such as smoking, drinking, drug addiction etc. and some long term medication, insect bite etc. it can be affecting adult, child or old age people also. Now days latest research we have lot of option in drug or dosage form. In the topical dosage form GEL dosage form is the best option because of their application or improves patient compliance. It is big option for those drugs who had a problem with solubility with the dosage form. In the gel any drug can be easily incorporated. GEL can be easily applied or removed form skin by the single wash, their no extra afford need to rubbed on skin as compare other dosage form only just make single thin layer of skin. It also the problem with children dosing. Drug can be shows better effect on penetration on skin, and also increase bioavailability of drug. There is no adverse effect or using humectant cool the skin and relief form pain and itchy dry skin.
Cytotoxic Test of Fig Leaf Ethanol Extract Fraction (Ficus carica L.) Using Brine Shrimp Lethality Test Method
Authors: Eriadi Aried , Fajrina Anzharni , Rahman Hefri Zuhni , Bakhtra Dwi Dinni Ailia , Uyun Hendri Satria Kamal
Published: October 2023

Cytotoxic test of fig leaf ethanol extract fraction (Ficus carica L.) has been conducted with the Brine Shrimp Lethality Test (BSLT) method. This study aims to determine the cytotoxic activity of fig leaf ethanol extract using the Brine Shrimp Lethality Test (BSLT) method. Fig leaves are extracted by maceration using 70% ethanol, then proceed with fractionation based on polarity, fractionation using N-hexane solvent, ethyl acetate and water. The results of phytochemical screening of fig leaf ethanol extract fraction stated that, n-hexan fraction contains flavonoid, phenolic, triterpenoid and saponin compounds. The ethyl acetate fraction contains phenolic compounds, triterpenoids and saponins. While the water fraction contains flavonoids, phenolics and saponin compounds. The results of cytotoxic testing of the fraction of fig leaf ethanol extract obtained LC50 values in the n-hexane fraction were 41.78 ppm (toxic), ethyl acetate fraction 33.57 ppm (toxic), and water fraction 16.36 ppm (very toxic).
A IMPORTÂNCIA DA ASSISTÊNCIA DE ENFERMAGEM NAS CLÍNICAS DA FAMÍLIA PARA A REDUÇÃO DE ATENDIMENTOS PRIMÁRIOS NAS UNIDADES DE PRONTO ATENDIMENTO E NOS HOSPITAIS
Authors: Mello de Oliveira Suzi
Published: October 2023

A Atenção Primária de Saúde (APS) deve diminuir internações hospitalares por um grupo de causas específicas, sendo que elevados números de hospitalizações evitáveis podem ser indicativos de problemas relacionados com a rede de atenção básica, independentemente de qual setor apresente. Determinou-se a questão norteadora: como reduzir a superlotação nas unidades hospitalares? Definiu-se o objetivo geral como: verificar meios de reduzir a superlotação de atendimentos primários nas unidades hospitalares. Complementou-se pelos objetivos específicos de: identificar estratégias nas Clínicas da Família para um bom atendimento, satisfação e retorno do usuário à unidade; descrever a importância da assistência de enfermagem na atenção primária à saúde; e ressaltar a valorização do trabalho do enfermeiro. A metodologia escolhida foi a revisão integrativa de literatura, de caráter qualitativo e descritivo. Baseou-se o estudo em 13 artigos selecionados nas bases de dados eletrônicas e que deram origem à discussão de três categorias temáticas, sendo elas: satisfação e retorno do usuário; importância da assistência de enfermagem; e a valorização do profissional de enfermagem. Conclui-se que o enfermeiro deve aperfeiçoar ações de trabalho em equipe, por meio das quais, as expectativas e ações de promoção de saúde e segurança sejam consideradas de extrema importância, mediante gerenciamento utilizado como estratégia de liderança positiva que contribui para promover um ambiente favorável a todos.
O USO DE RADIOFREQUÊNCIA NO TRATAMENTO DA FLACIDEZ TISSULAR FACIAL: UMA REVISÃO
Authors: Santos de Melo Gabriela , Elias Claudia , Holanda Mendonça Sandra Maria
Published: October 2023

Com o passar dos anos, ocorrem transformações inevitáveis no sistema tegumentar que afetam homens e mulheres. Essas mudanças, conhecidas como envelhecimento, fazem parte de um processo contínuo e são influenciadas por fatores intrínsecos e extrínsecos, sendo a face, a área mais evidente em termos de demonstração. Neste contexto, o presente artigo tem como objetivo descrever através de uma revisão de literatura, a eficácia da radiofrequência como tratamento para flacidez tissular facial. A pesquisa foi realizada nas principais bases de dados científicos da área da saúde, como: Scientific Electronic Library Online (SciELO), PUBMED, Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS), Google Scholar (Google Acadêmico), priorizando estudos dos últimos 5 anos. A partir destas, observou-se que o uso da radiofrequência tem se destacado como um método seguro de tratamento na área estética, por ser uma técnica terapêutica não invasiva e não ablativa, que proporciona resultados promissores na produção de colágeno. Aumentando sua demanda no mercado, resultando na satisfação e qualidade de vida dos pacientes.
ANÁLISE DO CONSUMO DE ENERGIA ELÉTRICA DOS EQUIPAMENTOS IOT UTILIZADOS NA AUTOMAÇÃO RESIDENCIAL: UM ESTUDO DE CASO PARA REDUÇÃO DO CONSUMO DE ENERGIA ELÉTRICA
Authors: Parra Santilio Fabricio , Angélica Cardoso Andrade Bárbara , Pedro Granzotto João , Marques de Barros José Paulo , Amorim Nunes Stephanie , Alves Pereira Silva Gabriel , Dutra Atala Costa Manoelly
Published: October 2023

A automação residencial vem crescendo nos últimos anos e foi impulsionada pela pandemia da COVID-19. Com o isolamento social, as pessoas precisaram passar mais tempo em casa e a partir disso surgiu a necessidade de automatizar atividades rotineiras. Um estudo realizado pelo IDC Brasil (International Data Corporation), mostra que o mercado de automação residencial cresceu 21% em 2021. No Brasil, a expectativa é que cresça cerca de 30% ao longo dos próximos anos. De acordo com o estudo, o que impulsiona esse aumento é o maior interesse por tecnologias de Internet das Coisas (IoT). Dentre os principais dispositivos estão os voltados para segurança, assistentes de voz, interruptores inteligentes e os termostatos inteligentes. Logo, este trabalho tem como objetivo investigar o consumo de energia elétrica desses dispositivos, largamente encontrados na automação residencial, bem como realizar um estudo da viabilidade econômica da automação residencial por meio da sua aplicação na redução do consumo de energia elétrica residencial. Com os dados das medições de consumo dos dispositivos, os equipamentos serão inseridos em uma plataforma de simulação visando uma análise econômica da fatura de energia elétrica, com e sem automação. Por fim, com a realização do estudo de caso, é possível constatar que o uso adequado da automação pode proporcionar uma redução significativa na conta de luz.
PROMOVER TERRITÓRIOS RESILIENTES E SAUDÁVEIS NUM CLIMA EM MUDANÇA: IMPACTOS DAS ALTERAÇÕES CLIMÁTICAS NA SAÚDE HUMANA NUMA REGIÃO VULNERÁVEL DO SUL DA EUROPA
Authors: Pereira Alves Maria de Fátima , Santos Leal Cátia Margarida , Guedes Vidal Diogo
Published: October 2023

Com o objetivo de analisar os impactos das alterações climáticas sobre a mortalidade humana numa das regiões do sul da europa com os cenários projeções e projeções socioecológicas mais pessimistas, a região de Coimbra, no Centro de Portugal, o estudo considerou os dados relativos às ondas de calor e de frio extremo, disponibilizados no IPMA, no Portal do Clima e no IPCC, e os dados de morbilidade e de mortalidade, disponíveis no INE, ocorridos na mesma região durante um período de 35 anos (entre 1982-2017). Os resultados revelam que a mortalidade aumenta com a intensidade ou maior duração das ondas de calor ou de frio extremo, sendo exacerbadas em ambientes urbanos pelo chamado efeito de ilha de calor, no caso das ondas de calor, afetando especialmente grupos vulnerabilizados. O agravamento das consequências expressas ao nível da morbilidade e mortalidade resultam deste agravamento e instabilidade das condições biofísicas em resultado das alterações climáticas, bem como das condições de vida, das privações socioeconómicas e das desigualdades no acesso aos serviços de saúde. As alterações climáticas apresentam-se como uma questão de saúde pública, inadiável e que exigem políticas que tenham em conta todos estes fatores e seus impactos exacerbados nos grupos de risco.
DOENÇAS TRANSMITIDAS POR VETORES NUM CONTEXTO DE ALTERAÇÕES CLIMÁTICAS: ANTECIPANDO RISCOS PARA UMA MELHOR PREPARAÇÃO DOS TERRITÓRIOS. ESTUDO DE CASO DA REGIÃO DE COIMBRA, PORTUGAL
Authors: Pereira Alves Maria de Fátima , Santos Leal Cátia Margarida , Guedes Vidal Diogo
Published: October 2023

Os crescentes impactos das alterações climáticas irão resultar, num futuro próximo, num aumento na morbilidade associada a algumas doenças sensíveis ao clima, como as doenças vetoriais. As temperaturas mais elevadas, as mudanças na precipitação e as mudanças na variabilidade climática podem alterar as fronteiras ou os limites geográficos e a sazonalidade da transmissão das doenças infeciosas transmitidas por vetores. Este artigo avalia o impacto que a alterações climáticas terão no aumento das doenças transmitidas por vetores na região de Coimbra, no centro de Portugal. Os dados obtidos apontam para um aumento de morbilidade de determinadas doenças sensíveis ao clima, como por exemplo as doenças infeciosas transmitidas por vetores, em particular, as doenças transmitidas por mosquitos, flebótomos e carraças, bem como a malária, o dengue, a doença de lyme, com potencial importância na região de Coimbra. A Malária é uma doença endémica do passado na região, e associada aos campos de arroz e à área estuarina da bacia do mondego, sendo a temperaturas elevadas muito favorável para a sua propagação, constituindo-se um risco futuro. Neste contexto, são necessárias medidas de adaptação, de carácter essencialmente preventivo e intersectorial.
ASPECTOS DA CADEIA PRODUTIVA DE BÚFALOS NO BRASIL: UMA REVISÃO
Authors: De Aguiar Gerude Neto Osman José , Suellen Pontes Lívia , Rocha Pereira Daniel , Costa Josué Abreu
Published: October 2023

O objetivo deste trabalho é apresentar uma revisão de literatura sobre os aspectos atuais da cadeia produtiva de insumos oriundos na espécie bubalina no Brasil, seus desafios e perspectivas de futuro. A bubalinocultura, devido à alta taxa de adaptabilidade, rusticidade, e capacidade de enfrentamento de condições adversas, tem seu lugar garantido na pecuária nacional, produzindo insumos de carne, leite e seus derivados, podendo fazer frente às demais espécies já pré-estabelecidas no mercado. A Cadeia Produtiva de carne e seus derivados oriundos da bubalinocultura de corte, ainda necessitam de estruturação logística, para a consolidação dos produtos no mercado nacional. Como seus produtos, na grande maioria dos comércios do país, são entregues ao consumidor, como de origem bovina, estes acabam não tendo seu real valor agregado, e com isso descaracterizando todo um sistema produtivo, e enfraquecendo os produtores frente ao mercado nacional. Já a Cadeia Produtiva da Bubalinocultura leiteira, vem em um crescente exponencial nos últimos anos. Este fato se deve a modernização dos sistemas de criação e produção de búfalos leiteiros no país. Mas, esse cenário só se tornou realidade quando as vantagens do leite bubalino foram atestadas por criadores e produtores de insumos lácteos do país. Comprovou-se que o desenvolvimento das condições de criação e manejo correto dos búfalos e a consolidação da cadeia produtiva trazem respostas positivas para o campo brasileiro, pois evidenciam o verdadeiro potencial zootécnico da espécie em território nacional.
Manifestations of an expert teacher’s practical theory of language pedagogy in translanguaging situations in early childhood education and care
Authors: Palojärvi Anu , Koivula Merja , Mård-Miettinen Karita , Rutanen Niina
Published: October 2023

This case study explores how an expert teacher’s practical theory of language pedagogy is manifested in translanguaging situations involving the use of multilingual children’s home languages in early childhood education and care. Practical theory encompasses teachers’ views of good teaching in relation to values, aims and principles. We applied nexus analysis to observation data, analysed interactions in translanguaging situations involving multilingual children’s home languages and related them to the teacher’s practical theory of language pedagogy. The main result was that some principles and aims, such as pedagogical tact, were variously manifested in different situations, while others, such as utilising children’s language expertise, stayed the same across situations. Furthermore, multiple principles and aims from a practical theory can affect even activities of short duration. The results also show that translanguaging occurred both in teacher- and child-initiated situations, implying a dual locus of power when using the children’s home languages. The expert teacher’s practices were mostly in line with how she had previously verbalised her practical theory. The findings point to the importance of enhancing reflection on the dynamic relationship between practical theory and situational practices in both pre- and in-service teacher training.
Evaluating the Reproducibility of Tree Risk Assessment Ratings Across Commonly Used Methods
Authors: Klein Ryan W. , Koeser Andrew K. , McBride Larsen , Hauer Richard J. , Warner Laura A. , Smiley E. Thomas , Munroe Michael A. , Harchick Chris
Published: October 2023

Background

Tree risk assessment methods have been developed to assist arborists in conducting thorough and systematic inspections of trees and the threat they pose to people or property. While these methods have many similarities, they also have a few key differences which may impact the decisions of those employing them. Moreover, arborists specify the associated timeframe for their risk assessment, which can range from months to years. How this impacts risk assessment reproducibility is unknown.

Methods

To assess the impact of risk assessment methodology, we sent videos depicting trees in urban settings to arborists holding the International Society of Arboriculture (ISA) Tree Risk Assessment Qualification (TRAQ;n= 28) or Quantified Tree Risk Assessment (QTRA;n= 21) training. These assessments were compared to those prepared by North American arborists lacking the TRAQ credential (ISA BMP;n= 11). ISA BMP arborists were also asked to assess trees using both a 1-year and a 3-year timeframe.

Results

While a direct comparison between the QTRA and TRAQ assessments is not possible given differences in terminology, arborists with the latter training were less likely to rate trees as having “high” or “extreme” risk compared to their ISA BMP counterparts. Moreover, we found that switching to a longer timeframe did not increase the variability of risk assessments.

Conclusions

These results give further insights into how different risk assessment methods compare when assessing the same group of trees as well as the impact of training efforts and specified timeframe.
CyberSecureHub: Integrating Cyber Security Tools
Authors: Suyog Waghere  , Harsh Pardeshi  , Shrinad Patil  , Krunal Kurhe  , Prof. M. D. Karad
Published: October 2023

In an age of increasing digitalization and interconnectedness, "CyberSecureHub" emerges as a groundbreaking project, integrating a multitude of cybersecurity tools to empower businesses and organizations in safeguarding their digital assets. This innovative platform not only enhances tool accessibility but fosters collective strength against modern cyber threats. Leveraging technologies like React and Node.js the project is meticulously executed through well-defined phases, emphasizing testing and quality control. It delivers not only operational tools but also comprehensive documentation, user guidance, and risk assessment. "CyberSecureHub" is poised to adapt and protect, offering organizations a versatile and secure solution in an evolving digital landscape, making a significant impact in the cybersecurity industry
Is Gender Discrimination Affected Women Status and Empowerment in India?
Authors: Meenakshi M  , Dr. Shripad Kulkarni
Published: October 2023

The development of any society depends on the status of women in the society. Fifty per cent of the World’s population comprises of women, in this male dominated society, women have always suffered. We need to make the women of our country strong socially, economically, psychologically and politically we need to tell the men of our country about their wrongdoings. In India Women’s political participation and representation has been affecting by the gender issues , but without active participation and well representation women will not certainly acquire higher positions.
This paper aims to examine the reasons for gender gap in politics, and it also attempts to explain the participation of women as leader and as citizen, here researcher has adopted the qualitative method and data is collected from the journals, articles, published books and authentic websites
Cost Effective Methods in Construction Engineering
Authors: Vasista Tatapudi Gopikrishna , Jakhanwal Manohar Prasad
Published: October 2023

The economic impact of construction cost overrun is a possible loss of the economic justification for the project. The financial impact of a cost overrun results in demand for construction investment credits. Therefore reliable estimates of construction cost are an important aspect to the contemporary construction companies especially during the conceptual phase of lifecycle management. In this paper a cost-effective analysis is done using one of the cost effective construction technique called Rat Trap Bond versus Flemish bond and when estimated with CPWD 2012 schedule of rates it is proved that Low cost techniques such as rat trap bond provides better cost effectiveness as compared to conventional Flemish bond construction method.
Sentiment Analysis in Indian Elections: Unraveling Public Perception of the Karnataka Elections With Transformers
Authors: Gunhal Pranav
Published: October 2023

This study explores the utility of sentiment classification in political decision-making through an analysis of Twitter sentiment surrounding the 2023 Karnataka elections. Utilizing transformer-based models for sentiment analysis in Indic languages, the research employs innovative data collection methodologies, including novel data augmentation techniques. The primary focus is on sentiment classification, discerning positive, negative, and neutral posts, particularly regarding the defeat of the Bharatiya JanataParty (BJP) or the victory of the Indian National Congress (INC). Leveraging high-performing transformer architectures like IndicBERT, coupled with precise hyper parameter tuning, the AI models used in this study exhibit exceptional predictive accuracy, notably predicting the INC's electoral success. These findings underscore the potential of state-of-the-art transformer-based models in capturing and understanding sentiment dynamics within Indian politics. Implications are far-reaching, providing invaluable insights for political stakeholders preparing for the 2024 Lok Sabha elections. This study stands as a testament to the potential of sentiment analysis as a pivotal tool in political decision-making, specifically in non-Western nations.
Identifying Text Classification Failures in Multilingual AI-Generated Content
Authors: Subramaniam Raghav
Published: October 2023

With the rising popularity of generative AI tools, the nature of apparent classification failures by AI content detection softwares, especially between different languages, must be further observed. This paper aims to do this through testing OpenAI’s “AI Text Classifier” on a set of human and AI-generated texts inEnglish, German, Arabic, Hindi, Chinese, and Swahili. Given the unreliability of existing tools for detection of AIgenerated text, it is notable that specific types of classification failures often persist in slightly different ways when various languages are observed: misclassification of human-written content as “AI-generated” and vice versa may occur more frequently in specific language content than others. Our findings indicate that false negative labelings are more likely to occur in English, whereas false positives are more likely to occur in Hindi and Arabic. There was an observed tendency for other languages to not be confidently labeled at all.
BLE Beacon with Data Accumulation Functionality
Authors: Kakeru KOBAYASHI , Satoshi FUJITA
Published: October 2023

This research looks into the implementation and utilization of BLE beacons with data accumulation functionality. BLE applications are typically divided into two categories: one that broadcasts a fixed value for each device, and the other that identifies contact with a particular user by scanning the data broadcasted in its surroundings. The proposed framework, however, follows a different approach where each beacon scans for data broadcasted in the area, then changes state based on the scan result, and finally, broadcasts data based on the new state. This can be regarded as an extension of the BLE mesh standard, which enables data flooding through repeated scanning and broadcasting. The paper also explores two practical use cases of the technology: detecting and announcing congestion around devices, and a stamp rally application.
Optimize the Network Coding Paths to Enhance the Coding Protection in Wireless Multimedia Sensor Network
Authors: Abbasi Mohammad Javad , Abdullah A. S , Fisal N
Published: October 2023

Efficient protection techniques for multimedia data transfer over Wireless Sensor Network (WSN) are very essential issues. In noisy Wireless Multimedia Sensor Networks (WMSN) Quality of Service (QoS) is a challenging task due to bandwidth and limited energy, and unpredictable channel conditions. Therefore, Forward Error Correction (FEC), a class of channel coding has been widely used in WSN. Nevertheless, the bulky size of multimedia data makes it more difficult to be transported over the noisy multi-hop wireless network. Moreover, the efficiency of FEC drops as the number of hops increases. In this paper, an optimized protection technique based on network coding and rateless code has been proposed to enhance the throughput and reduce overhead during data transfer in WMSN. The performance of NCP-OPR is enhanced via Optimal Network Path Model (ONPM) where the best available paths are optimally selected using Particle Swarm Optimization (PSO). In conjunction with the proposed protection scheme, the proposed ONPM is intended for limited power WSN by optimally distributing the power usage among the network paths so that the throughput can be improved.
Energy-Efficient Improved Optimal K-Means: Dynamic Cluster Head Selection based on Delaying the First Node Death in MWSN-IoT
Authors: Chniguir Awatef , Jemaa Zouhair Ben
Published: October 2023

The Internet of Things (IoT), which attaches dynamic devices that can access the Internet to create a smart environment, is a tempting research area. IoT-based mobile wireless sensor networks (WSN-IoT) are one of the major databases from which the IoT collects data for analysis and interpretation. However, one of the critical constraints is network lifetime. Routing-based clustered protocols and cluster head (CH) selection are crucial in load balancing and sensor longevity. Yet, with clustering, sensor node mobility requires more overhead because the nodes close to the center may get far and thus become unsuitable to be a CH, whereas those far from the center may get close and become good CH candidates, influencing energy consumption. This paper suggests an energy-efficient clustering protocol with a dynamic cluster head selection considering the distance to the cluster center, remaining energy, and each node's mobility degree implementing a rotation mechanism that allows cluster members to be equally elected while prioritizing those with the minimum weight. The advised algorithm aims to delay the first node death (FND) and thus prolong the stability period and minimize energy consumption by avoiding re-clustering. The performance of the proposed protocol exceeds that achieved in our previous work, Improved OKmeans, by 11%, in first dead node lifetime maximization, 43% in throughput, and 44% in energy efficiency.
Analysis of System Capacity and Spectral Efficiency of Fixed-Grid Network
Authors: M Adarsha , Malathi S , Kumar Santosh
Published: October 2023

In this article, the performance of a fixed grid network is examined for various modulation formats to estimate the system's capacity and spectral efficiency. The optical In-phase Quadrature Modulator (IQM) structure is used to build a fixed grid network modulation, and the homodyne detection approach is used for the receiver. Data multiplexing is accomplished using the Polarization Division Multiplexed (PDM) technology. 100 Gbps, 150 Gbps, and 200 Gbps data rates are transmitted under these circumstances utilizing various modulation formats. Various pre-processing and signal recovery steps are explained by using modern digital signal processing systems. The achieved spectrum efficiencies for PM-QPSK, PM-8 QAM, and PM-16 QAM, respectively, were 2, 3, and 4 (bits/s)/Hz. Different modulation like PM-QPSK, PM-8-QAM, and PM-16-QAM each has system capacities of 8-9, 12-13.5, and 16-18 Tbps and it reaches transmission distances of 3000, 1300, and 700 kilometers with acceptable Bit Error Rate (BER≤ 2× 10-3 ) respectively. Peak optical power for received signal detection and full width at half maximum is noted for the different modulations under a fixed grind network.
A Privacy-Aware Tracking and Tracing System
Authors: M. Allam Ali
Published: October 2023

The ability to track and trace assets in the supply chain is becoming increasingly important. In addition to asset tracking, the technologies used provide new opportunities for collecting and analyzing employee position and biometric data. As a result, these technologies can be used to monitor performance or track worker behavior, resulting in additional risks and stress for employees. Furthermore, contact tracing systems used to contain the COVID-19 outbreak have made positive patients' privacy public, resulting in violations of users' rights and even endangering their lives. To resolve this situation, a verifiable attributebased encryption (ABE) scheme based on homomorphic encryption and zero-knowledge identification (ZKI) is proposed, with ZKI providing anonymity for data owners to resist tracking attacks and homomorphic encryption used to solve the problem of privacy leakage from location inquiries returned from a semi-honest server. Finally, theoretical security analysis and formal security verification show that our scheme is secure against the chosen plaintext attack (CPA) and other attacks. Besides that, our novel scheme is efficient enough in terms of user-side computation overhead for practical applications.
Integration of Metaverse Technology Into the Police Academy Education and Training System
Authors: AlAli Mayed , Alshamsi Humaid
Published: October 2023

This study explores the potential of integrating the metaverse into police colleges for education and training purposes. The metaverse, considered a futuristic educational platform, is investigated for its viability. The study employs a two-pronged approach involving a review of 13 relevant studies and a survey to gather qualitative data on metaverse usage. The findings reveal a strong willingness to embrace the metaverse, dissatisfaction with current police education programs, inadequate preparedness of cadets after training, and various potential applications of the metaverse in police education, sports training, military training, professional policing, and data management. Recommendations include metaverse adoption in police institutions, thorough risk assessment, and comprehensive training for educators.
Different Learning Styles and the 4 MAT in Science
Authors: E. Obaya-Valdivia Adolfo , Parrales-Vargas Dulce , Osorio Carlos Montaño
Published: October 2023

This paper reviews the different learning styles in science, NLP, Kolb, Felder and Silverman, Hermann, McCarthy explaining their main characteristics and concluding with the socalled 4 MAT, which integrates them into a single model with eight pedagogical steps that must be covered in their entirety to connect teaching with student learning in an effective way.
What the Instructor Can Learn by Recording Students’ Desktop Screens in Online Programming Classes
Authors: Takahashi Keiichi
Published: October 2023

In programming courses, instructors need to know the status of students during exercise sessions because they often make mistakes while creating programs. This study analyses desktop screens recorded by thirdyear students in a web programming course at Kindai University in Japan, categorizes the problems, and proposes content and methodological improvements for learning through online lectures. The results of the experiment revealed that (a) the students watched the lecture video at half the screen size, (b) it was difficult to rewind the video, and (c) even though students faced difficulties in completing the task, they decided not to ask questions and worked on the same problem for more than 30 minutes. While most previous studies have used questionnaire-based surveys, this study demonstrates that instructors viewing recorded desktop screens of students can identify issues that students may not be aware of on their own.
Empowering Small Liberal Arts Institutions: Designing an In-Depth Curriculum for Integrating AI and ML Education With Pedagogical Considerations
Authors: Sarkar Sayani , Johnson Nathan
Published: October 2023

The integration of artificial intelligence (AI) and machine learning (ML) into academic curricula has become increasingly important in contemporary institutions. However, small liberal arts institutions face unique challenges in adapting their programs to meet the growing demand for AI and ML expertise. This article explores the significance of providing computer science graduates from these institutions with a comprehensive understanding of AI and ML systems. The proposed curriculum encompasses problemsolving techniques, algorithm design, data preprocessing, model training, and ethical considerations specific to AI and ML. Pedagogically, an emphasis is placed on practical assignments, projects, and collaborative learning to foster critical thinking and creative problem-solving skills among students. Furthermore, integrating AI and ML concepts across disciplines enables students to explore these technologies' broader implications and ethical dimensions. Small liberal arts institutions can capitalize on their distinctive educational environments to promote interdisciplinary collaborations and provide students with a holistic understanding of AI and ML applications. In conclusion, adapting small liberal arts institutions to incorporate AI and ML education is crucial for preparing computer science graduates to meet the evolving demands of the modern workforce. By embracing these advancements and tailoring their programs accordingly, these institutions can empower their students with the essential skills and knowledge to thrive in an AI-driven world. The article also discusses the advantages, limitations, and potential future steps in integrating AI and ML education into small liberal arts institutions.
Virtual Collaboration in the Context of Teaching and Learning With Interdisciplinary Perspective
Authors: Feng Jiangfan , Gong Yanjie , Tian Mao
Published: October 2023

Online virtual environments where students can learn and interact somewhat realistically have great potential for engineering studies, such as course resources, tools, and software that support learning and educational practice. Here, we present a collaborative virtual environment for interactive learning and immersive visualization with an interdisciplinary perspective. It allows users to visualize and sample complex scenarios' structures and dynamics and interact with other users in the same virtual environment. A series of controlled studies have been made in which participants were tasked with various emergency decision goals. Moreover, it can also support the following integrated functions: 3-D spatial analysis, 3-D visualization for spatial process, and 3-D spatial decision-making. The performance evaluation results confirmed the proposed virtual environment's higher usability and user satisfaction. This approach will be able to express opportunities for extending interdisciplinary knowledge in engineering education and support the students in their creativity and collaboration skills.
Adopting Virtual Reality for Education: Exploring Teachers’ Perspectives on Readiness, Opportunities, and Challenges
Authors: E. Carpenter Rob , R. McWhorter Rochell , Stone Katherine , Coyne Leanne
Published: October 2023

Virtual reality (VR) can be adapted to teach many topics and may be particularly effective for complex concepts. However, little is known about teacher readiness on adopting VR in the classroom. Accordingly, 189 higher education teachers were surveyed to explore perceptions on adopting VR. Findings revealed the adoption of VR vectored on teachers perceived readiness confidence in technology skill and belief that VR has potential to benefit student learning. Moreover, understanding students cognitive experience in the immersive VR environment remains underdeveloped and may influence teacher’s perception of readiness to adopt VR for teaching. However, there is an opportunity to influence educational models by providing a VR approach to knowledge creation centred around cognitive processes students use to make sense of the real world. But there remain perceived challenges centered around costs, technical issues, content availability, and pedagogical integration. This study concludes any successful adoption of VR for teaching will require careful planning for teacher readiness with primary focus on technology competence and pedagogical matters. Although more research is needed to understand teachers’ readiness, VR is likely forthcoming and has potential to be an important resource in the educator’s toolkit.
Invertible Neural Network for Inference Pipeline Anomaly Detection
Authors: Schwab Malgorzata , Biswas Ashis
Published: October 2023

This study combines research in machine learning and system engineering practices to conceptualize a paradigm-enhancing trustworthiness of a machine learning inference pipeline. We explore the topic of reversibility in deep neural networks and introduce its anomaly detection capabilities to build a framework of integrity verification checkpoints across the inference pipeline of a deployed model. We leverage previous findings and principles regarding several types of autoencoders, deep generative maximumlikelihood training and invertibility of neural networks to propose an improved network architecture for anomaly detection. We hypothesize and experimentally confirm that an Invertible Neural Network (INN) trained as a convolutional autoencoder is a superior alternative naturally suited to solve that task. This remarkable INN’s ability to reconstruct data from its compressed representation and to solve inverse problems is then generalized and applied in the field of Trustworthy AI to achieve integrity verification of an inference pipeline through the concept of an INN-based Trusted Neural Network (TNN) nodes placed around the mission critical parts of the system, as well as the end-to-end outcome verification. This work aspires to enhance robustness and reliability of applications employing artificial intelligence, which are playing increasingly noticeable role in highly consequential decision-making processes across many industries and problem domains. INNs are invertible by construction and tractably trained simultaneously in both directions. This feature has untapped potential to improve the explainability of machine learning pipelines in support of their trustworthiness and is a topic of our current studies.
SPDZ-Based Optimistic Fair Multi-Party Computation Detection
Authors: Wang Chung-Li
Published: October 2023

The fairness of multi-party computation has been investigated for long time. Classic results demonstrate that fair exchange can be achieved by utilizing cryptographic tools, as most of them are based on garbled circuits. For the secret-sharing schemes, such as SPDZ, it may incur significant overhead to simply apply a fair escrow scheme, since it encrypts all the shares of delivered results. To address this issue, we design a twolevel secret-sharing mechanism. The escrow encryption is only for the first level of sharing and performed in preprocessing. The second level of sharing is used for computation and always handled by plaintexts, such that the online phase is still efficient. Our work also employs a semi-trusted third party (TTP) which provide optimistic escrow for output delivery. The verification and delivery procedures prevent the malicious parties from corrupting the outcome or aborting, when there is at least one honest party. Furthermore, the TTP has no knowledge of output, so even if he is malicious and colluding, we only lose fairness. The escrow decryption is needed only when misconduct is detected for opening the first-level shares.
Redusharptor: A Tool to Simplify Developer-Written C# Unit Tests
Authors: Weber David , Christi Arpit
Published: October 2023

Modern software systems are complex and locating, isolating and fixing a fault even with a failing test is tedious and time-consuming. Simplifying failing test(s) can significantly reduce the developer effort by reducing the irrelevant program entities that developers need to observe. Delta Debugging (DD) algorithm automatically reduces the failing tests. Hierarchical Delta Debugging (HDD) algorithm improves DD for hierarchical tests like source code and HTML files. Many modern implementations of these algorithms work on a generic tree-like structure and fail to consider complex structures, intricacies, and interdependence of program elements of a particular programming language. We propose a tool ReduSharptor to simplify C# tests that uses language-specific features and interdependence of C# program elements using Roslyn compiler APIs. We evaluate ReduSharptor on a set of 30 failing C# tests to demonstrate its applicability and accuracy.
Enumeration of the Number of Spanning Trees of the Globe Network and its Subdivision
Authors: Mohamed Basma , Amin Mohamed
Published: October 2023

The complexity of a graph can be determined using a network-theoretic method, which is given. This strategy is based on the connection between graph theory and the theory of determinants in linear algebra. In this article, we provide a unique algebraic method that makes use of linear algebra to derive simple formulas for the complexity of diverse novel networks. We can derive the explicit formulas for the globe network and its subdivision using this method. In the final least, we also determine their spanning trees entropy and compare it to each other
A Positive Integer 𝑵 Such That 𝒑𝒏 + 𝒑𝒏+𝟑 ~ 𝒑𝒏+𝟏 + 𝒑𝒏+𝟐 For All 𝒏 ≥ 𝑵
Authors: Duc Pham Minh , Tam Luong Van
Published: October 2023

According to Bertrand's postulate,we have 𝑝𝑛 + 𝑝𝑛 ≥ 𝑝𝑛+1 . Is it true that for all 𝑛 > 1 then 𝑝𝑛−1 + 𝑝𝑛 ≥ 𝑝𝑛+1? Then 𝑝𝑛 + 𝑝𝑛+3 > 𝑝𝑛+1 + 𝑝𝑛+2where 𝑛 ≥ 𝑁, 𝑁 is a large enough value?
Breast Tumor Detection Using Efficient Machine Learning and Deep Learning Techniques
Authors: Patra Ankita , Behera Santi Kumari , Sethy Prabira Kumar , Barpanda Nalini Kanta , Mahapatra Ipsa
Published: October 2023

Breast cancer tissues grow when cells in the breast expand and divide uncontrollably, resulting in a lump of tissue commonly called and named tumor. Breast cancer is the second most prevalent cancer among women, following skin cancer. While it is more commonly diagnosed in women aged 50 and above, it can affect individuals of any age. Although it is rare, men can also develop breast cancer, accounting for less than 1% of all cases, with approximately 2,600 cases reported annually in the United States. Early detection of breast tumors is crucial in reducing the risk of developing breast cancer. A publicly available dataset containing features of breast tumors was utilized to identify breast tumors using machine learning and deep learning techniques. Various prediction models were constructed, including logistic regression (LR), decision tree (DT), random forest (RF), support vector machine (SVM), Gradient Boosting (GB), Extreme Gradient Boosting (XGB), Light GBM, and a recurrent neural network (RNN) model. These models were trained to classify and predict breast tumor cases based on the provided features.