bluuebunny/crossref_metadata_2025 huggingface dataset:
The first detection of the Phaeocystis (Phaeocystis pouchetii (Hariot) Lagerheim 1896) in the coastal waters of East Kamchatka
Authors: Lepskaya E. V. , Tepnin O. B. , Pavlov N. N.
Published: January 2024

While single mobile or immobile cells grouped into mucous “cloudy” colonies have been described in the life cycle of the haptophyta microalga Phaeocystis pouchetii, the first colonial bloom of this algae was detected on the east coast of Kamchatka (Avachinsky Gulf). The number of the colonies at the peak of the bloom in the coastal waters was 100 per liter. Such blooms of mentioned species in the European seas, in the Antarctic and some other coastal waters are often non-toxic. So, this phenomenon obviously requires study in monitoring mode.
Políticas de tecnologia na Europa
Authors: ROTHWELL ROY
Published: January 2024

RESUMO Embora os governos das economias de mercado avançadas estejam há muitos anos envolvidos na formulação de políticas destinadas a estimular o avanço científico e a mudança tecnológica, foi somente em meados da década de 1970 que políticas explícitas de “inovação” surgiram. A política de inovação representou uma integração das mais tradicionais “política industrial” e “política de ciência e tecnologia”. Durante o início da década de 1980, a ênfase das políticas públicas mais uma vez mudou quando os governos começaram a introduzir as chamadas “políticas de tecnologia”. A política de tecnologia envolve a seleção e o desenvolvimento de tecnologias genéricas específicas ou grupos de produtos de alta tecnologia. Hoje, todas as economias europeias avançadas adotaram políticas tecnológicas para apoiar a tecnologia da informação e a biotecnologia. Este artigo discute e compara as políticas de tecnologia no Reino Unido, na França e na República Federal da Alemanha, bem como as políticas que operam no nível europeu promulgadas pela EEC.
Um simpósio sobre a distribuição da renda
Authors: SUPLICY EDUARDO MATARAZZO
Published: January 2024

RESUMO esta é uma leitura do simpósio internacional de distribuição de renda onde o autor expõe sua proposição sobre os efeitos que a desigualdade de renda tem no Brasil e no mundo.
A economia mundial em 2010 e a revolução dos serviços
Authors: BRAGA CARLOS ALBERTO PRIMO
Published: January 2024

RESUMO Este artigo analisa os impactos das inovações tecnológicas em curso (particularmente, na microeletrônica) no futuro da economia mundial. O autor argumenta que as atividades intensivas em serviços se tornarão cada vez mais importantes, e a economia mundial atingirá “características de rede”, com um grau de interdependência muito maior do que nunca. A viabilidade técnica da integração mundial, entretanto, não se traduzirá necessariamente em integração econômica dada a resistência das forças nacionalistas e protecionistas. E a desordem do sistema financeiro internacional tenderá a fomentar essas forças. Nesse contexto, também são discutidas as opções do Brasil frente ao processo de integração mundial.
O crescimento agrícola brasileiro dos anos 80 e as perspectivas para os anos 90
Authors: MELLO FERNANDO HOMEM DE
Published: January 2024

RESUMO Durante a década de oitenta, o setor agrícola brasileiro teve um crescimento não desprezível, apesar de circunstâncias econômicas internas e externas muito desfavoráveis. Tal crescimento ocorreu ao mesmo tempo em que o crédito disponível estava diminuindo, os subsídios eliminados, com uma recessão externa, queda nos preços das commodities e baixo crescimento na demanda interna. Este trabalho busca explicar esse crescimento com condições desfavoráveis. Além disso, analisa quais ajustes o setor precisa fazer para que o Brasil consiga retomar seu crescimento na presente década.
Axial live load distribution among single row of piles of integral bridges
Authors: Erhan Semih
Published: January 2024

This study investigates the axial live load distribution among steel H-piles in single-span integral bridges. To achieve this, two- and three-dimensional finite-element models for various integral bridges are conducted and analysed using the structural analysis software SAP2000, to determine the maximum axial loads in steel H-piles within two- and three-dimensional models. Subsequently, axial live load distribution factors from the ratio of axial loads calculated from these models are derived. The parametric study reveals that girder spacing and pile spacing exert notable influences on the axial live load distribution among the steel H-piles in integral bridges. Then, non-linear regression analysis is employed to formulate practical equations as functions of these two parameters. These equations can effectively calculate the live load distribution factors for the piles in integral bridges. To validate the accuracy of the live load distribution factors calculated from the proposed formulae, a comparative analysis is performed with results obtained from structural analysis. The standard deviations of the ratios between these two results are found to be a mere 2%. This clearly demonstrates that the developed formulae yield highly precise estimates of axial live load effects in integral bridge piles.
Urban microclimate analysis: residential block morphology impact on outdoor thermal comfort
Authors: Sadeghian Golbarg , Tahbaz Mansoureh , Hakimian Pantea
Published: January 2024

In many cities, protracted exposure of urban structures to excessive solar radiation and the urban heat island (UHI) phenomenon may cause thermal discomfort for pedestrians in outdoor spaces, particularly in hot-arid regions. This study investigated the impact of urban residential block morphology on microclimate in Isfahan, Iran, using ENVI-met numerical models. The predicted mean vote (PMV) model for residential outdoor spaces was calculated using simulation data for the hottest day of the summer to assess outdoor thermal comfort. Comparison of the alternatives – namely, diagonal blocks, compact linear blocks, continuous curved blocks and dispersed cubic blocks – showed that the microclimate performance of the diagonal type was better than those of the other design options, as the PMV index represented the minimum distance from the ideal thermal comfort range due to a lower sky view factor (SVF) and optimal orientation. The curved blocks performed better in urban open spaces, promoting airflow and reducing UHI, than linear and cubic blocks. The results showed that the PMV index could predict thermal comfort in various urban design patterns and could be affected by the morphology of urban blocks. Variations in building morphology alter the SVF and microclimate parameters, which have an impact on outdoor thermal comfort.
Study on critical crack length of wet-sieved and fully graded concrete under mode I loading
Authors: Zheng Xingyu , Wu Zhimin , Jia Mengdi
Published: January 2024

The critical crack lengths of wet-sieved concrete and fully graded concrete obtained from experimental measurements, numerical simulation and an analytical solution based on linear elastic fracture mechanics were quantitatively compared. Experiments were conducted on wedge-splitting specimens with depths of 200–1500 mm and a maximum aggregate size of 150 mm. Strain gauges and clip gauges were pasted and mounted along the direction of crack growth to measure the critical crack length. Numerical and analytical methods were used to calculate the critical crack length. The average relative error between the analytical calculations and measurements was still 14%, even for a specimen depth of 1500 mm. The effective fracture toughness was calculated by combining the peak load and critical crack length, resulting in an average relative error of 17%. These results indicate that the existing analytical method for determining the critical crack length is inadequate. Consequently, a modified analytical method was adopted, using 95% of the peak load in the post-peak region and the corresponding crack mouth opening displacement, which provided results that agreed well with the experimental data. Furthermore, the effective fracture toughness could be reasonably derived using the critical crack length from the modified analytical method.
Imagining Global Climate Solutions: Reflections on The Ministry for the Future and Eleutheria
Authors: Orts Eric W.
Published: January 2024

Even though a scientific consensus has been building for many decades that the climate emergency is real, and despite many protests and conferences demanding action, global climate solutions remain elusive. What are the main sticking points to making climate progress, and how might they be overcome?
This article draws on two novels to imagine possible solutions: The Ministry for the Future by Kim Stanley Robinson and Eleutheria by Allegra Hyde. Both envision effective social change over the next few decades.
Themes and pathways include influencing public opinion, new religious movements, politics at global scale, tweaking the global economic system, geoengineering, and the various roles that people from all walks of life can play—especially young people—to deliver climate solutions. Not least, a common theme is how love can save the world.
The role of the judiciary in the resolution of intra-party conflicts in Lesotho
Authors: Rakolobe Mamello , 'Nyane Hoolo
Published: January 2024

Political parties play an integral role in modern democracies and are legitimate platforms of contestation for state power. Despite the vital role that political parties play in democratisation, they are often prone to internal disputes. Their internal processes, such as conferences, elections, decision-making and deployments, are often subject to contestation. Conflicts are inherent in political contestation in general and in political parties, in particular. Hence, political parties have several mechanisms for dispute resolution, one of which is the referral of disputes to the courts of law. The role of the courts in internal political party disputes is a double-edged sword. While a court provides an independent platform for resolving disputes, it lacks reconciliatory attributes. After court intervention, many political parties often break up into smaller parties or experience major defections. This phenomenon is more pronounced in Lesotho than elsewhere. Ever since the return to electoral democracy in 1993, the role of the courts in internal party disputes has increased phenomenally. However, instead of achieving cohesion and internal stability, political parties have experienced splits, exacerbated conflicts or significant defections after the referral of their internal disputes to the courts.
AN EXAMINATION OF POLICIES REGULATING THE PARTICIPATION OF TRANSGENDER LEARNERS IN SOUTH AFRICAN HIGH SCHOOL SPORTS
Authors: Muyenga Mugerwa-Sekawabe
Published: January 2024

South African high schools typically adopt a sex-segregated approach to sports teams and, therefore, have “boys” sports teams and “girls” sports teams. This approach is complicated by the increasing number of high school learners who identify openly as transgender. Transgender learners experience the sports policies that South African high schools choose to adopt as falling into one of three broad categories. These categories are: the restrictive approach, the partially inclusive approach and the fully inclusive approach. These approaches vary in terms of what steps they require trans learners to take in order to participate in sports teams that are consistent with their gender identity. School policies must be consistent with the Promotion of Equality and Prevention of Unfair Discrimination Act (PEPUDA) in order to be legally compliant. It is argued that the restrictive approach is inconsistent with PEPUDA, and, therefore, unlawful, as no legitimate purpose underlies it. As legitimate reasons exist for the implementation of partially and fully inclusive policies, it is argued that they are lawful. As both such policies are lawful, policymakers will have a choice regarding which set of policies to adopt. When making this choice, a school must consider which values it seeks to promote. On the one hand, there is the imperative to acknowledge the well-being and dignity of trans learners while, on the other hand, there are legitimate concerns about the fairness of competition. As dignity is both a right that is granted to everyone by the Constitution, and one of its founding values, it is argued that fully inclusive policies should be favoured as they result in the validation of trans learners’ dignity. Furthermore, it is argued that high school sports should serve broader educational goals, such as teaching high school learners that their trans peers deserve the chance to live their truth in full.
Комментарий к решению Международного Суда от 30 марта 2023 года по делу «Некоторые иранские активы (Исламская республика Иран против Соединенных штатов Америки)»
Authors: Польшакова Виктория Владимировна
Published: January 2024

В статье проводится анализ решения Международного Суда по делу «Некоторые иранские активы (Исламская Республика Иран против Соединенных Штатов Америки» (англ.: Certain Iranian Assets (Islamic Republic of Iran v. United States of America)), которое касается предполагаемых нарушений Договора о дружбе, экономических отношениях и консульских правах, заключенного между США и Ираном 15 августа 1955 года, допущенных со стороны США. Автор рассматривает особенности и исторические предпосылки законодательной политики США в сфере борьбы с терроризмом, а также акты законодательных и исполнительных органов власти США, установившие ограничительные меры в отношении Ирана. Несмотря на то что на сегодняшний день существует около трехсот многосторонних и двусторонних договоров, предусматривающих юрисдикцию Суда в случае возникновения спора, за последнее время только несколько споров, связанных с экономическими санкциями, дошли до Суда, что делает настоящее решение особенно ценным. В статье проводится анализ аргументации Суда, в том числе вопросов о юрисдикции и приемлемости ввиду юридического статуса Центрального банка Ирана, а также вопроса исчерпания внутренних средств защиты. Автор приходит к выводу, что Суд склонился к консервативному пониманию статуса Центрального Банка как государственного органа, предложив четкие разъяснения относительно понимания природы центральных банков в международном праве. При этом в статье также обсуждаются вопросы о статусе и применимости доктрины «чистых рук» в международном праве, доктрины злоупотребления правом, исключениях, связанных с производством оружия и соображениями безопасности, а также о правосубъектности иранских компаний и дискриминации. Особенностью решения автор считает и то, что Суд рассмотрел вопросы международного инвестиционного права, в частности стандарты справедливого и равного обращения и разумности. Автор приходит к выводу, что Суд применил стандарт разумности в качества теста для определения незаконности экспроприации, отклонившись от стандарта, принятого в международном праве. В статье также обсуждаются особые мнения и декларации, написанные тринадцатью из пятнадцати судей. Наконец, автор статьи задается вопросом, являются ли выводы, сделанные Судом по данному делу, строгим очерчиванием рамок экономических санкций или же осторожной попыткой поиска равновесия между правовым и справедливым.
Interpretation of “Investments” and “Investors” in the Russia-Belgium/Luxembourg BIT: Seeking Ways to Resolve the Case of NSD
Authors: Ильченко Алёна Андреевна
Published: January 2024

The paper addresses jurisdictional issues on the case of NSD initiating investment arbitration against Belgium/Luxembourg. Under the Russia-Belgium/Luxembourg BIT, the states undertake to prevent expropriation of investments and, if it does happen, to pay timely and fair compensation. Such “expropriation” may also occur due to sanctions. Being a Russian intermediate custodian for a number of foreign securities, the NSD has accounts with the centralized European securities Euroclear/Clearstream depositories. Since the inclusion of the NSD in the list of entities provided for in Annex I of EU Regulation no. 269/2014 in June 2022, transactions with the securities were suspended, NSD’s account with Euroclear/Clearstream was blocked. Because the NSD accounts with foreign securities depositories were blocked, it became impossible to transfer non-Russian securities from a securities account opened with the NSD to another Russian or foreign securities depository. One of the ways to challenge the consequences of Euroclear/Clearstream actions is to file a claim with the investment tribunal against Belgium/Luxembourg. The case has two potential solutions: mass claim from the end-investors or one single claim by the NSD as a “nominee holder” of the end-investors’ securities. The first option might seem time- and resource-costly, which is why a claim by the NSD might seem more attractive. Hence, using the interpretation instruments of public international law, the paper aims at assessing the perspectives of initiating investment arbitration proceedings by the NSD, thereby focusing on interpretation of the two central terms in the Russia-Belgium/Luxembourg BIT — “investor” and “investment”. The paper concludes that prima facie the investment tribunal would have jurisdiction over the case rationae personae nonetheless the “nominee holder” status of the NSD, as well as jurisdiction ratione materiae, where the blocked securities could constitute an “investment” in the sense of the BIT. Consequently, the paper defines the legal capacity of nominee holders to initiate arbitration. Since the issue has never been raised before, the paper draws an analogy with the case law on shell companies.
Acknowledging the plural Weberian rationalities in clinical embryology: When moral values, habits, and/or affection prevail beyond efficiency
Authors: Delaunay Catarina , Gouveia Luís
Published: January 2024

This paper addresses the plural forms of reasoning used by clinical embryologists when deciding the fate of the human embryos they create and manipulate in the laboratory setting through assisted reproductive technologies (ART). Our analysis draws on empirical material from in-depth interviews with 20 clinical embryologists working at public and private fertility units/clinics in Portugal. Within a bureaucratic organisation based on a high level of professional specialisation, embryologists display multiple perspectives on the criteria they use to evaluate and classify the embryo’s quality, potential and viability. Taxonomies, international guidelines and statistical data are largely used by embryologists to qualify the embryos, basing their action on an instrumental rationality (efficient means and calculated ends recognized inductively). However, beyond technical-scientific facts and theories as intellectual tools for action, some of them also mobilize alternative ethical rationalities. Namely, value-rational action based on moral valuations and legitimate rules/ends, affectual rationality governed by emotions, affects and feeling states (such as empathy with the beneficiaries), and traditional rationality based on habits and routines (embryologist’s feeling gained by experience) intervene too. Therefore, Weber’s distinctive ideal-types and theoretical contributions, namely his foundational four types of social action are relevant for rethinking professional practices within ART, especially clinical embryology.
Protocol for vagus nerve stimulation in awake pigs (subject-3) v1
Authors: Armitage Oliver
Published: January 2024

The Vagus nerve innervates a number of thoracic and visceral organs. Exogenous nervous signal, for example, Vagus nerve stimulation (VNS) provides a route to modulating their function for therapeutic purposes. However, the relationship between VNS parameters and organ responses is poorly understood as evidenced by a number of failed human trials, for example, in the heart failure space. This protocol is for a chronic study that builds upon a previous acute study (https://doi.org/10.26275/dm5l-tspb) in which the pigs were under anesthesia. It maps VNS parameters to their immediate neural and cardiac effects in 2 freely moving pigs. By exploring the changes in heart rate responses from acute to chronic periods, we aim to gain a more comprehensive understanding of the effects of VNS on organ function.
Effective Cost Reduction Usage of Infrastructure in Small Scale Sectors using Cloud Storage and Internet of Things
Authors: S. Srinivasan Et al.
Published: January 2024

Presently many small-scale information technology based private sectors are scare due to spending of high cost for maintaining of infrastructures and resources. In order to avoid to pay more money on maintaining infrastructures, there is a need of an effective price reduction method for the usage of infrastructures in various computer-based private sectors which has been achieved through integration of different online and offline cloud storages along with internet of things sensors. This method delivers huge range of infrastructures, resources and services through online and offline platforms through on-demand basics of user request. This system disables or switch off unnecessary services or resources when it is unused by people in the private sectors which has been controlled through various types of sensors. This integrated cloud storage and IoT method verifies user verification and validation along with storing all information about status of infrastructures in offline and online cloud storage environment. This paper deals dynamic group audit regulation through k-means cluster technique with cryptographic algorithm. The alert messaging and alarm indication system has been enforced in this system. Combining of internet of things and cloud storage techniques which guarantees reduction of cost for usage of infrastructures and also assures privacy, security on quality of service with maintaining of better information transmission. This high skilled method preserves the internet of things with cloud storage environment with better performance evaluation in terms of bandwidth usage and computational and communication cost.
A Typical Review of Current and Prospective Microwave and Optical Remote Sensing Datasets for Soil Moisture Retrieval
Authors: Prabhavathy Settu Et al.
Published: January 2024

Soil Moisture content is a vital indicator of both the weather and the water cycle. It has been a long-standing difficulty for the field of remote sensing to make sense of soil moisture's spatial and temporal distribution. For over five decades, researchers across the world have exclusively investigated the optical and microwave datasets for estimating soil moisture by developing various models, and algorithms. Nevertheless, challenges are faced in the consistent retrieval of SM at local, and global scales with higher accuracy in space and time resolution. The review was conducted in-depth, looking at the methods using optical and microwave data to determine soil moisture, and outlining the benefits and drawbacks considering the current needs.  With this research, a new age of widespread use of space technology for remote sensing of soil moisture has been ushered in. The study also acknowledges the scientific challenges of utilizing remote sensing datasets for soil moisture measurement.
Machine Learning based IoT Flood Rediction Using Data Modeling and Decision Support System
Authors: Deivendran P Et al.
Published: January 2024

An essential step in supplying data for climate impact studies and evaluations of hydrological processes is rainfall prediction.  However, rainfall events are complex phenomenon’s that continue to be difficult to forecast.  In this paper , we present unique hybrid models for the prediction of monthly precipitation that include Seasonal Artificial Neural Networks and Discrete wavelet transforms are two pre-processing methods, together with Artificial Neural Networks have two feed forward neural networks.  The temporal series of observed monthly rainfall from Vietnam’s Ca Mau hydrological station were decomposed into three subsets by seasonal decomposition and five sub signals and four levels by wavelet analysis.   The methods for predicting rainfall that use feed forward artificial neural networks (ANN) and seasonal artificial neural network (SANN) were fed with the processed data.  The classic genetic method and simulated annealing method backed by using an integrated moving average and autoregressive moving was contrasted with the predicted models for model evaluation.  The results showed that non-stationary regarding issues with non-linear time series, such forecasting rainfall could be satisfactorily simulated. The SANN model was integrated with the wavelet transform and seasonal decomposition are both used. Techniques, however the wavelet transform method produced the most accurate monthly rainfall data, Predictions. Due to the effects of climate change, nations including the Japan, China, the United States of America, and Taiwan, etc., have recently experienced severe and devastating natural disasters.  One of the biggest causes of the destruction in Asian nations like china, India, Bangladesh, Sri Lanka, etc. is the flood. The danger of fatality from these floods is increased by 78% as information technology advances; there is a demand for simple access to massive amounts of cloud storage and computing capacity.
Online Freelancing Intention among Female Graduates
Authors: Manjula Gunarathna Et al.
Published: January 2024

Gender-based unemployment disparities persist in Sri Lanka, even though women possess high levels of education. This study examines the intentions of female university graduates to engage in online freelancing, which provides flexible work opportunities and could potentially address this issue. The study presents a research methodology that is built upon the Technology Acceptance methodology. It examines characteristics such as perceived use, ease of use, perceived security, internet literacy, and degree type in relation to the intention to engage in online freelancing.  Findings reveal that perceived usefulness, ease of use, perceived security, internet literacy, and the type of degree significantly influence the intention to engage in online freelancing. The direct influence of perceived usefulness and ease of use on intention shows the need of addressing the benefits and user-friendliness of online freelancing platforms.  Perceived security plays a crucial role in building trust, particularly in transactions and data sharing. Respondents with moderate internet literacy and business-oriented degrees show higher positive intentions. The study concludes by providing recommendations for online freelancing platforms to enhance perceived usefulness, user-friendliness, and security and to cater to a diverse audience, including those with varying internet literacy and educational backgrounds. Collaboration with educational institutions is suggested to bridge the gap between education and online freelancing readiness. Regular assessment of user perceptions and continuous improvement are advised to adapt to evolving user needs and preferences. This research contributes to the understanding of the factors influencing the intention of female graduates to participate in the online freelancing market in Sri Lanka.
Generative Artificial Intelligence and GPT using Deep Learning: A Comprehensive Vision, Applications Trends and Challenges
Authors: Ruchi Sharma Et al.
Published: January 2024

Generative Artificial intelligence is a prominent and recently emerging subdomain in the field of artificial intelligence. It deals with question-answering based on natural language processing. This paper discusses recent methodologies adopted by researchers in this field. It also discusses GAI and machine learning techniques for multimodal applications like image, text and audio-based data generation. This meta-analysis and survey was done from prominent research up to 2023 from the Scopus Database consisting of reputed and authenticated research papers.The research contribution is twofold 1. To analyze the recent research and applications at the industry level 2. To identify techniques and associated limitations. This would further aid practitioners  to address future challenges.
Dual Band 1x4 Linear Metamaterial Bowtie Antenna Array for Autonomous Vehicle in Public Safety Band Communications
Authors: Rayan Hamza Alsisi Et al.
Published: January 2024

This research presents the design, simulation, and fabrication of a dual-band 1x4 linear metamaterial bowtie antenna array for applications in 5G wireless systems and public safety band communications. The single-element antenna is a compact dual-band structure with a complementary split-ring resonator (TCSRR) element, and it exhibits resonant frequencies of 3.5 GHz and 4.9 GHz, covering the sub-6GHz 5G spectrum and the public safety band. The antenna aray design is optimized for impedance matching and radiation efficiency. The 1x4 linear antenna array is designed with a quarter-wave transformer feed network and carefully controlled mutual coupling to enhance gain and directionality. Simulated and measured results confirm the performance of the array, with a reflection coefficient within -10 dB from 3.2 GHz to 3.85 GHz and from 4.55 GHz to 5.95 GHz and 3.45 GHz to 3.75 GHz and 4.45 GHz to 5.7 GHz, respectively. The array exhibits a peak realized gain of up to 8.7 dBi and efficient radiation patterns. This work offers promising insights into the development of antenna systems for advanced wireless communication applications and vehicle-to-vehicle communication in public safety band.
Dynamic Firewall Rule Building Engine for Hybrid Cloud
Authors: Shesagiri Taminana Et al.
Published: January 2024

Growth in the cloud computing resource management aspects have also increases the risks associated with the services hosted on the cloud.The foundational challenges are firstly to accommodate the ease of access without violating the security aspects and the time constraints to provide service responses on time, to provide the security to the active services. A good number of researches are observed to achieve the best firewall security to the hosted services. Nonetheless, the existing methods are often criticised for higher complexity and the non-performing aspects for the newer attack types. Henceforth, this work aims to solve the existing research bottlenecks. The proposed work firstly aims to solve the higher complexity of the deployed strategy by reducing the attribute sets with a sense of accuracy, time complexity and information loss. Further, this work proposes a dynamic firewall rule engine design strategy for detection of the attacks using the thresholding method. The proposed algorithms are testing on the benchmarked KDD dataset and as outcome a nearly 99.7% accuracy is observed and the time complexity is reduced to nearly 40%. Hence, this proposed work demonstrates a state-of-the-art technology for firewall design for hybrid cloud and shall be considered as a new benchmark in this domain of the research.
An Analytical Data Model to Improve Benefits of the Comprehensive Health Insurance System By Data Mining Techniques
Authors: Ahmed Mohamed Abd El-Badie Seif Et al.
Published: January 2024

Health insurance represents a crucial safeguard against the myriad risks associated with individual health conditions, covering expenses related to examinations, diagnosis and treatment, as well as providing psychological and physical support. Until mid-2019, Egypt implemented a social health insurance system, and then moved to a renewed framework known as the comprehensive health insurance system in the latter half of 2019. The research at hand focuses on exploring a new mechanism through develop a new model, it can be help the General Authority for Health Insurance to attainment of maximum benefits, whether in terms of individuals medical services or the enhancement of the nation's overall income return.

The researcher depends on using the data mining technique to conduct specialized analyzes of big data for the new model, to offer the numerous advantages, including empowering decision-makers to make accurate decisions based on reliable information and proficient data analysis, Based on the new model for the health insurance system that was prepared and implemented using the Weka program, version 3.8.6, through the classifier scheme (classifiers.trees.J48 algorithm), the applied pattern was used:

(Scheme:weka.classifiers.misc.InputMappedClassifier -I -trim -Wweka.classifiers.trees.J48 -- -C 0.25 -M 2), Through the Weka program, a new model was designed that contains two parts. The first part is to classify the insured into insurance categories according to their monthly salaries, and the second part is to predict the classification and distribution of employees among insurance packages according to the new health insurance model. The model was prepared using Weka.classifiers.trees.J48. software to analysis the dataset of 2781 employees.

One of the significant outcomes that the researcher emphasizes from implementing the new model is the attainment of maximum benefits, whether in terms of individual medical services or the enhancement of the nation's overall income return. Under the existing health insurance law in Egypt, the monthly subscription fee is a flat 1% for all employees, without accounting for other factors. The results of applying the new model showed the effectiveness of the model through a comparison between the current subscription fees and the new health insurance model, developed using the same dataset of 2781 employees, reveals that the total monthly subscription fees under the current health insurance system amount to 153057.97 Egyptian Pounds (L.E.), whereas the total subscription fees under the new health insurance system model reach 365998.91 L.E., The financial benefits realized from the new model amount to 212940.94 L.E., representing a percentage increase of up to 139.12%. This demonstrates a considerable improvement in financial outcomes, and the potential advantages of transitioning to the new health insurance model.
RCNN with Swallow Swarm Optimization for Liver Disease Detection and Classification
Authors: N Nanda Prakash Et al.
Published: January 2024

One of the most serious medical conditions that can endanger a person's life and health is liver disease. The second-leading cause of death for men and sixth-leading cause of death for women, respectively, is liver cancer. In 2008, liver cancer claimed the lives of almost 750,000 people, killing 960,000 of them. The segmentation and identification of CT images produced by computer tomography has emerged as a major topic in medical image processing. There are few choices for liver segmentation due to the enormous amount of time and resources necessary to train a deep learning model. As part of this research, we created the Region utilizing Convolutional Neural Network, a novel way of extracting the liver from CT scan images (RCNN). The suggested CNN approach, which employs softmax to isolate the liver from the background, contains of three convolutional layers and two entirely associated layers. In the CapsNet and CAL layers, there are class dependencies and an efficient mechanism to connect CAL and subsequent CapsNet processing. Finally, the classification is carried out using the SSO-CSAE model, an approach known as the swallow swarm optimization that is based on the Convolutional Sparse Autoencoder (CSAE) The MICCAI SLiver '07, 3Dircadb01, and LiTS17 benchmark datasets were used to validate the proposed RCNN-SSO approach. When compared to other frameworks, the proposed framework performed well in numerous categories.
Efficient Data Gathering in Cloud Computing Using Clustering Schemes, Cloud Agent-Based Data Schemes and Efficient Path Planning Techniques
Authors: Lalit Kumar Et al.
Published: January 2024

Cloud computing is a rapidly evolving field with a wide range of applications, including data storage, processing, and analysis. Clustering schemes, cloud agent-based data schemes, and efficient path planning techniques are all important aspects of cloud computing. Clustering schemes are used to group similar data items together, which can improve the efficiency of data processing and analysis. Cloud agent-based data schemes allow for the collection and management of data from a variety of sources, including cloud and edge devices. Efficient path planning techniques are used to optimize the routing of data packets in cloud networks. This research paper provides a comprehensive overview of clustering schemes, cloud agent-based data schemes, and efficient path planning techniques for cloud computing. The paper discusses the different types of clustering schemes and cloud agent-based data schemes, as well as their advantages and disadvantages. The paper also presents an overview of efficient path planning techniques for cloud computing. The paper concludes by discussing the challenges and future research directions in cloud computing. The authors believe that cloud computing is a rapidly evolving field with a bright future, and they encourage researchers to continue to develop new and innovative solutions for cloud computing.
An Automated Irrigation System for Smart Agriculture Using the Internet of Things
Authors: Prashant Dharashive Et al.
Published: January 2024

Water is a valuable but limited agriculture resource, and it is becoming harder to manage it efficiently. This paper discusses a system of an automated irrigation that integrates the cloud computing, tools, and IoT (Internet of Things) for optimization in order to reduce water usage in the agriculture. Low-cost sensors have been utilized by the automated irrigation system to monitor important factors like soil type, pH, soil moisture, and meteorological conditions. For information storage & analysis, the data is kept in the Thing speak cloud service. The field data is sent to the cloud by utilizing the networks of GSM cellular as well as a Wi-Fi modem. Subsequently, using an optimization model, the ideal irrigation rate is determined. This rate would then be automated by utilizing a solenoid valve & regulated by an ARM controller (WEMOS D1). The essential variables are available to farmers as a cloud-based service. When the recommended approach is used in a pilot-scale agricultural operation, our findings show a decrease a water use, a rise in the amount of data available, and better imagining.
An Enhancement to Fused and Cascaded Squeeze and Excitation Network for Pneumonia Prediction with Deep Learning Techniques
Authors: Ramitha M A Et al.
Published: January 2024

Pneumonia is a rapidly spreading disease that poses a significant risk to the health and welfare of those affected. Accurately diagnosing pneumonia from a biomedical perspective requires the use of various diagnostic tools and the assessment of multiple clinical characteristics. However, the lack of available experts and equipment hinders the proper diagnosis of this disease. As deep learning is getting revolutionized in terms of these fields, the utilization of such advanced models brings more efficacy. This study aims to comprehensively enhance both the Inception V3-based squeeze-excitation network and the Densenet 121 with squeeze-excitation network and analyze the performance of both in addition to state-of-the-art models, for accurate pneumonia detection from medical images. This paper aims to develop a robust deep-learning model capable of effectively identifying Pneumonia by analyzing the characteristics derived from chest X-ray images. The study seeks to identify the most efficient model for pneumonia detection by comparing and assessing the performance of these models. The study consists of three main phases. a) Data collection from Kermany and RSNA Pneumonia challenge datasets, which consist of X-ray images, b) Preprocessing the data to remove noises and anomalies using a Gaussian filter to improve image quality, and c) Conducting the classification task by utilizing the Densenet 121-based squeeze-excitation network and the Inception V3-based squeeze-excitation network. The Inception V3 SENet model demonstrated superior performance. With an accuracy of 0.9539%, recall of 0.95%, and f1-score of 0.95%, it surpassed the Densenet model's performance in terms of accuracy (0.74), recall (0.81), and f1-score (0.69), as well as outperformed other state-of-the-art models.
Improving Service Delay in Smart Parking System in Smart Cities with 5G
Authors: Swati Sucharita Roy Et al.
Published: January 2024

Rapid urbanization and population growth leads to substantial increase in vehicular traffic while reducing empty spaces. This necessitates an enhanced parking systems to efficiently address the parking space management. The smart city and Internet of Things (IoT) holds a very high potential to solve this problem. However, the data traffic generation at the edge is increasing rapidly. Tremendous growth in IoT is putting a high congestion on cloud services. To ease up the congestion issue, we have proposed an efficient fog-based communication model for the smart city parking management. In this work, we have proposed a parking system management model based on 5G with low latency and green communication. Our model reduces congestion at the cloud and enable faster processing by addressing the parking system locally. Furthermore, our model finds out the nearby parking without putting additional load to the cloud. Simulation result shows the performance efficiency of the proposed model in terms of response time, average cost and service delay.
A Comparative Analysis of Feto-Maternal Monitoring Techniques Utilizing the Bio-Impedance Technique
Authors: Ashish Kumar Singh Et al.
Published: January 2024

It is impossible to overestimate the importance of the fetal monitoring approach in the field of obstetrics. The review study illustrates the wide range of fetal monitoring techniques used, from basic feto scope auscultation to more sophisticated electronic fetal monitoring (EFM) technologies in Engineering Society. The survey highlights the significance of constant monitoring throughout labor to identify any indicators of fetal distress and act quickly to ensure that necessary interventions are made in a timely manner. Furthermore, the paper presents an experimental study for Fetal Monitoring, which system is based on the bio impedance principle. The innovative technique described in this work is noninvasive, user-friendly, cost-effective, and suitable for mass health care, and it may be used by the impoverished population and basic health workers. Finally, the review highlights the importance of standardized protocols, continuous research, and healthcare professional training in order to increase the accuracy and effectiveness of fetal monitoring approaches..
Context-Preserving Sentiment Classification Using Bi-TCN And BI-GRU with Multi-Head Self-Attention
Authors: K. R. Srinath Et al.
Published: January 2024

In natural language processing, sentiment classification is the recently used topic. Specifically, the objective of the sentiment analysis is to categorise the polarity expressed on the sentence's target. However, there are some researches for classifying the polarity of the target which outperforms well in their way. Yet, there are some limitations, such as apparent and in-apparent issues, gradient problems, etc., to overcome these issues the context-preserving sentiment classification using BI-TCN (Bidirectional Temporal Convolutional network) and BI-GRU (Bidirectional Gated Recurrent Unit) with Multi-head self-attention is proposed to extracts both the local dependent and global dependent information from the sentence, then it will incrementally extract the supervision information of the target to train the model. Formerly, the model is tested and trained using four datasets and the performance is compared with four existing methods, its accuracy is evaluated using the F1-score, precision, recall, specificity, and MCC (Matthews Correlation Coefficient). Consequently, the proposed approach provides the best accuracy level of  98%..
Design and Performance Analysis of a Neural Network Sliding Mode based Hybrid Controlled Islanded Micro-Grid
Authors: A. Venkat Rao Et al.
Published: January 2024

The micro-grid fed shunt voltage source converter, also known as a smart Artificial neural network and sliding mode controller (ANN-SMC) based hybrid system, is developed during this research for solar system, wind and battery storage connected shunt filter. Here, phased locked loop utilization is avoided by the self-tuning filter (STF). Move over, apart from producing phase synchronization, STF also distinguishes between the fundamental and harmonic components. Total harmonic distortion (THD) reduction and steady voltage across dc link during load variations with short settling times under both grid and island settings are the key goals of the recommended approach. Four scenarios with various combinations of loads, solar radiation, and wind speeds under islanding conditions are used to illustrate the effectiveness of the study.
Fuzzy Controlled Power Management and Power Quality Enhancement for Grid Integrated Renewable Energy sources with EV Fed UPQC
Authors: Alvala Mahesh Kumar Et al.
Published: January 2024

Recently, the merging of Renewable Energy Sources (RES) and Electric Vehicles (EVs) has brought about significant changes in distribution systems. The main goal of this research is to effectively tackle power quality (PQ) concerns such as voltage fluctuations(sags and swells) and total harmonic distortion(THD) in a system connected to the grid .This system combines Solar Photovoltaic(SPV) and Wind Energy Systems(WES) and integrates a Battery Energy Storage System(BESS) and Electrical vehicles(EVs). To accomplish this, a versatile Unified Power Quality Conditioner (UPQC), referred to as U-SWEBEV, is employed. The control of power flow, encompassing the transfer from energy generation sources to consumer loads and among various sources, is efficiently managed through the application of a Fuzzy Interface System (FIS) regulation. This FIS system plays a key role in regulating power distribution. Additionally, a fuzzy Controller is implemented to  enhance Maximum power Point Tracking (MPPT) from the SPV system. This combined approach , utilizing both Fuzzy Logic and the Unified power Quality Conditioner (UPQC), significantly contributes to the efficient and effective.  utilization of power resources while successfully addressing power quality (PQ) concerns with different load combinations . The proposed method reduces the total harmonic distortion of  load current and source voltage at linear nonlinear, nonlinear, Nonlinear and unbalanced linear  loads  with % THD  1.64 ,0.04,1.20,0.04 and 2.84,2.32  which are lower than the existing methods that are available in literature.