bluuebunny/crossref_metadata_2025 huggingface dataset:
Sensible and latent heat flow of Japanese quails kept in different thermal environments
Authors: Matos Júnior J.J.L. , Furtado D.A. , Ribeiro N.L. , Marques J.I. , Leite P.G. , Nascimento J.W.B. , Rodrigues V.P. , Lopes Neto J.P. , Rodrigues L.R. , Santos S.G.C. G. , Figueiredo C.F.V.
Published: February 2024

ABSTRACT This study aimed to estimate the heat flux through sensitive mechanisms and respiratory evaporation of Japanese quails kept in thermoneutral and warm environments, using simple environmental and physiological measures. 192 nine-week-old quails were used, distributed in a completely randomized design at two temperatures (T1 = 24°C and T2 = 32°C), with 12 replicates of eight birds each, with an experimental period of 63 days, divided into three 21-day periods. Physiological measurements of respiratory rate (RR), cloacal temperature (TC), and body surface temperature (TS) were measured twice a week. The behavior of the energy balance in the climatic chambers was obtained using the total thermal energy exchanges per unit surface area of the birds, derived from the sum of sensible (radiation and convection) and latent heat exchanges. Respiratory rate (P<.0001), surface temperature (P<.0001), and cloacal temperature (P=0.0047) were higher in the 32°C environment. The expired air temperature (P<.0001) and heat loss by respiratory evaporation (P<.0001) showed higher values when the quails were in an environment of 32°C, while the heat losses by convection (P<.0001) and radiation (P<.0001) were higher in a thermal comfort environment. In Japanese quails kept in a controlled environment, sensible heat dissipation by convection is the main way to eliminate excess thermal energy, when the air temperature is up to 32ºC.
Effectiveness of pyraclostrobin on the production, morphology and nutritional value of winter cereal forage in successive cuts
Authors: Venancio B.J. , Silva M.R.H. , Costa L. , Stadler Junior E.S. , Cristo F.B. , Heker Junior J.C. , Pereira E.L.C. , Neumann M.
Published: February 2024

ABSTRACT This study aimed to evaluate the forage yield, morphology, and nutritional value of three winter cereal wheat (Triticum aestivum cv. BRS Umbu), white oats (Avena sativa cv. URS Guará), and black oats (Avena strigosa cv. Embrapa 139), harvested in two successive cuts, at the vegetative and full vegetative stages, applied or not with fungicide pyraclostrobin. Pyraclostrobin was sprayed two times during the vegetative stage, the first application at the phenological stage V5, and the second, 12 days after the first cut of each forage species. In general, the application of pyraclostrobin resulted in an increase in the participation of leaves in the plant structure, from 72.2% to 86.9% in the second cut; and crude protein increased, and lignin decreased (from 22.75% and 9.89% to 25.60% and 6.30%, respectively) in the first cut and (from 20.82% and 11.73% to 22.28% and 9.20%, respectively) in the second cut. Black and white oats had a higher cumulative biomass production, 3,698 kg ha-1, and 3,277kg ha-1, respectively, and white oats had the lowest content of acid detergent fiber (27.90%) at the second cut.
Multicentric peripheral T-cell lymphoma, bilateral granulosa cell tumor, and papillary ovarian adenocarcinoma in a female dog - case report
Authors: Wronski J.G. , Nakagaki K.Y.R. , Viscone E.A. , Nunes M.M. , Cassali G.D.
Published: February 2024

ABSTRACT The frequency of ovarian neoplasms in dogs is low, and these tumors are often underdiagnosed mainly due to nonspecific clinical signs. Multiple ovarian tumors are rarely described in dogs and can be of primary or secondary origin. Lymphomas, in turn, are among the most common malignant neoplasms in dogs, with a variable clinical course. This report describes a case of multiple concomitant ovarian tumors and a multicentric lymphoma in a dog, diagnosed histologically and confirmed by immunohistochemistry. The right and left ovaries and mesenteric lymph node of a 14-year-old mixed breed female dog were received for histopathological evaluation. Histologically, a multicentric small to intermediate cell lymphoma was diagnosed in the lymph node and both ovaries, in addition to a bilateral granulosa cell tumor and papillary adenocarcinoma in one of the ovaries. Immunohistochemistry determined the diagnosis of multicentric peripheral T-cell lymphoma. Coexisting ovarian tumors are rarely described in the literature but can occur. This is the first report of these three neoplasms occurring concomitantly in the same organ. Therefore, clinicians and pathologists should be aware of this possibility when evaluating ovaries.
Impact of COVID-19 lockdown period on companion animal health in Algeria
Authors: Khaled H. , Bouamar N. , Mokrani D.
Published: February 2024

ABSTRACT The COVID-19 pandemic and the measures established by governments to protect populations have caused significant harm to humanity, not only regarding public health but also in terms of economic and social welfare. This study aims to assess the health status and behavior of pets during the total lockdown period in Algeria from March to June 2020. An online questionnaire consisting of 20 questions was published. A total of 200 pet owners across various departments participated. The lockdown had a negative impact on the physical health of 19.5% of individuals, with weight gain, allergies, and diabetes being predominant (51.8%, 27.7%, and 20.5%, respectively). 38.5% of cases report behavioral disorders, with hyper attachment, aggressiveness, and disobedience being predominant (47.3%, 27.6%, and 18.4%, respectively). The study helped estimate the negative impact of the lockdown on the physical and psychological health of animals. This information will aid in preventing similar damage in case of future pandemics or epidemics.
Patient safety culture assessment before and after safety huddle implementation
Authors: Moraes Márcio Venicio Alcântara de , Almeida Ítalo Lennon Sales de , Carvalho Rhanna Emanuela Fontenele Lima de
Published: February 2024

ABSTRACT Objective: To identify whether safety huddle implementation enabled a change in patient safety culture. Method: Quasi-experimental research that assessed patient safety culture before and after safety huddle implementation. Results. The study revealed that 53.98% completed the two safety culture assessments, with 60.1% adherence from the nursing team, with a statistically significant difference in the second assessment regarding perception of patient safety and adverse events notified (p < 0.00). Regarding good practice indicators, a statistically significant difference (p < 0.00) was observed in item 43 and improvement in almost all dimensions in the second safety culture assessment. The huddles totaled 105 days, with 100% adherence from the nursing team. Regarding checklist items, all presented satisfactory responses (above 50%). Conclusion: Safety huddles proved to be an effective tool for communication between healthcare professionals and managers, demonstrating positive impacts on good practice indicators and most safety culture dimensions.
Plano Real: normatização de uma economia financeirizada*
Authors: Varaschin Jorge Armindo Aguiar
Published: February 2024

Resumo Apresentado como modelo de estabilização monetária, o Plano Real lançou as bases sobre as quais se revela a dinâmica econômica brasileira contemporânea. Seus efeitos vão além do combate às pressões inflacionárias, com reflexos na economia nacional em sua totalidade. Sua macroeconomia transformou a economia política brasileira, normatizando seu processo de financeirização: desde 1994, sob seus contornos, reestruturou-se e, posteriormente, consolidou-se o papel dominante das finanças nacionais no bloco no poder construído ao longo da década de 1990. A hipótese da inflação inercial serviu como subsídio às suas regras, cujo cerne apresenta a operacionalização da Selic visando a demanda agregada interna e a valorização cambial. Desse modo, pela maneira como alterou o panorama econômico brasileiro, compreende-se o Plano Real como conceito em nossa história econômica, símbolo de seu tempo e espírito de sua época.
Ler com o corpo, escrever na pele: um caso de blast over com literatura, ilustração, edição e tattoo dentro
Authors: Pereira Cláudia Sousa
Published: February 2024

RESUMO Inspirado pelo conceito usado na “cena da tatuagem” de blast over, e que designa o aproveitamento de espaços entre tatuagens para inserir outras, sem esconder nem disfarçar as anteriores, propõe-se um exercício de análise de um livro de artista, Coração com estrela-do-mar dentro, de Filipe Homem Fonseca (2019). O conceito surgiu de uma das páginas do livro para se tornar alvo de questões da leitura literária, de uma perspetiva também pragmática. A proposta seguirá um percurso: entrar no texto pelo objecto-livro que dá um lugar importante à ilustração, assinada por death_by_pinscher, retirá-lo de lá e voltar a incluí-lo para fazer a leitura global, no sentido de realçar a adesão do potencial leitor jovem também ao texto.
Democracia, amizade, serenidade: Aristóteles entre Vaz, Weil e Bobbio
Authors: Perine Marcelo , Andrade Paulo Raphael Oliveira
Published: February 2024

Resumo O artigo propõe uma interlocução de três pensadores contemporâneos do campo da filosofia política sobre o conceito de democracia, Lima Vaz (1921-2002), Eric Weil (1904-1977) e Norberto Bobbio (1909-2004), confrontado com a concepção aristotélica da amizade política sustentada pela benevolência (eúnoia) e pela concórdia (homónoia) entre todos os cidadãos. A reflexão final sobre a serenidade, definida por Bobbio como a “mais impolítica das virtudes”, inscreve o presente artigo nas homenagens a Antonio José Romera Valverde pela sua longa e fecunda carreira acadêmica.
O encontro arte-museu-educação e a invenção de espectadores-alunos perenes
Authors: Prates Adriana Pedrassa , Aquino Julio Groppa
Published: February 2024

RESUMO O presente estudo visa oferecer uma imersão analítica nos discursos sobre as práticas expositivas de arte e sua vinculação ao discurso educativo, com vistas ao questionamento das assertivas que sustentam tal confluência discursiva. A argumentação opera em favor da hipótese de que a noção de democratização do acesso aos bens artístico-culturais - secundada majoritariamente por dados que atestam, hoje, altos índices de visitação a museus e espaços afins - diz respeito, antes, à consolidação de um sofisticado processo de pedagogização da arte deflagrado desde o momento em que se assistiu à forja histórica do encontro arte-museu-educação, no final do século XVIII. Sob tal perspectiva, a noção foucaultiana de governamentalidade foi acionada de modo a situar a inelutável vinculação do referido encontro com a produção de determinados modos de existência condicionados à forma de alunos-espectadores perenes.
Diálogos entre as competências cultura digital e pensamento científico, crítico e criativo na Base Nacional Comum Curricular
Authors: Machado Aline Alvares , Amaral Marília Abrahão
Published: February 2024

RESUMO A Educação em Ciência, Tecnologia e Sociedade (CTS) resgata uma agenda política, compreendendo que a neutralidade nesse contexto se vincula à submissão a valores hegemônicos e desloca o papel das pessoas em função da racionalidade tecnológica. Assim, este artigo teve o objetivo de analisar o conteúdo da competência pensamento científico, crítico e criativo (PCCC) da Base Nacional Comum Curricular (BNCC) e propor relações entre ela e a competência cultura digital (CD) por meio de um viés crítico, ancorado na Teoria Crítica da Tecnologia (TCT). Para isso, utilizaram-se a metodologia da análise de conteúdo de Bardin e a TCT na construção das categorias. Observaram-se conceitos de neutralidade e de determinismo em sete das nove subdimensões analisadas. Conclui-se que o campo CTS contribui com uma aproximação crítica entre as competências PCCC e CD e na construção de uma prática pedagógica que se vincula à criticidade e à dialogicidade.
For a pedagogy of the archive: knowledge production and dissemination in the digital culture
Authors: Zuin Antônio A. S.
Published: February 2024

Abstract Today, the archive is no longer limited to a physical space controlled by those who own the production and reproduction of knowledge, since it becomes a kind of cultural impulse, to the extent that people archive themselves by means of an incessant flow of information sharing in social media. Following this line of thought, it is the purpose of this article to reflect on the philosophical-educational presuppositions of the pedagogy of the archive, in the society in which surveillance capitalism determines the ubiquitous digitization of human relationships and, therefore, the production of the information that will (or will not) be archived and propagated on the Internet. To that end, the methodological approach that was chosen involved analyzing texts of researchers such as Featherstone, Livingstone, Kellner & Share, Beer, Van Dijck, Poell, De Vall, Buckingham, Zuboff, Flynn and Manofich, whose studies focused on resignifications of self-archiving in contemporary society. In the society of digital memory, in which it becomes possible to remember everything, new forms of forgetting are produced as compiled information is decontextualized to the point of becoming fake news. Given this scenario, it becomes imperative to conduct the historic contextualization of digitally produced information. More than ever, it becomes necessary to recover and understand the causes of events digitally disseminated, particularly in order to foment moral engagements aligned with the act of self-archiving as an augmented formation ( Bildung) experience in the digital culture.
Physical education and sports in Polish education in Germany in the years 1918–1939
Authors: Jurek Tomasz , Połaniecka Agnieszka
Published: February 2024

Between 1918 and 1939, Germany had a Polish population of about 1.5 million. Most Poles lived in Silesia, East Prussia, the central part of the country, Rhine-Westphalia and the eastern borderlands. One of the forms of patriotic activity to avoid assimilation was physical education, sports, tourism and recreation, the gymnastic movement within the framework of the Gymnastic Society “Sokol”. An important role in this national activity was played by Polish education in Germany. Educational affairs were handled by the Union of Polish School Societies, established in 1922. Among many subjects, physical education classes and extracurricular sports activities were very popular. In the years 1918–1939, a real battle for Polish school in Germany with physical education classes and after school activities took place. This struggle affected mainly the Polish- German borderland and in this particular area the sport activities were also the most visible ones. Physical education had a utilitarian and a preventative role, but the Polish activists also laid an emphasis on the high standards of the physical education classes and after school activities that were very often educational and patriotic. All primary school students took part in obligatory physical education classes and additional after school activities. It should be noted that all students of Polish schools in Germany attended compulsory physical education lessons.
Hitchhiking: history, digitalisation and the future after the COVID-19 pandemic
Authors: Sienkiewicz Witold , Adamiak Czesław
Published: February 2024

Hitchhiking has a long history as a form of alternative tourism and has experienced significant transformations in recent years due to the overall digitalisation of travel and culture. Similarly to other forms of mobilities, it was disrupted by the COVID-19 pandemic and non-pharmaceutical interventions aiming to stop the disease. The paper first defines hitchhiking as a social phenomenon and outlines its history from global and Polish perspectives. Then, it discusses the current developments and possible futures of hitchhiking culture. It is based first on the outline of the location of hitchhiking in contemporary popular culture, particularly Internet culture, and second on in-depth interviews with five young yet experienced lifestyle hitchhikers, performed during strict pandemic restrictions. The interviews focus on three major topics: modern challenges in hitchhiking, ITC (information and communication technologies) use, and hitchhiking during the pandemic. The results indicate the evolution of hitchhiking as a social phenomenon, where the cultural heritage of alternative lifestyles intertwines with the increasing role of the Internet and mobile communication. In conclusion, we postulate further studies, including applying new methodological approaches and asking research questions regarding, e.g. the commodification of tourism, the importance of web reputation, and interactions between hitchhikers, residents and drivers.
Nonlinear Inflation Dynamics in Menu Cost Economies
Authors: Blanco Andres , Boar Corina , Jones Callum , Midrigan Virgiliu
Published: February 2024

Canonical menu cost models, when parameterized to match the micro-price data,cannot reproduce the extent to which the fraction of price changes increases with inflation. They also predict implausibly large menu costs and misallocation in the presence of strategic complementarities. We resolve these shortcomings by extending the multiproduct menu cost model along two dimensions. First, the products sold by a firm are imperfect substitutes. Second, strategic complementarities are at the firm, not product level. In contrast to standard models, the fraction of price changes increases rapidly with the size of monetary shocks, so our model implies a non-linear Phillips curve.
Reexamining the 'Role of the Community Reinvestment Act in Mortgage Supply and the U.S. Housing Boom'
Authors: Brevoort Kenneth P.
Published: February 2024

Concerns have lingered since the 2007 subprime crisis that government housing policies promote risky mortgage lending. The first peer-reviewed evidence of a causal effect was published by the Review of Financial Studies in a paper (Saadi, 2020) linking the crisis to changes in the Community Reinvestment Act (CRA) in 1995. A review of that paper, however, shows that it misrepresents the policy changes as having taken effect in mid-1998, 2.5 years after they were implemented. When the correct timing is used, a similar analysis yields no evidence of a relationship between CRA and riskier mortgage lending. Instead, the results are shown to reflect an unrelated confounding event, the first collapse of the U.S. subprime mortgage market following Russia’s debt default in August 1998.
Big Data Analytics for Heart Disease Prediction using Regularized Principal and Quadratic Entropy Boosting
Authors:   Associate Professor, Cauvery College for Women (Autonomous), [Affiliated to Bharathidasan University], Tiruchirappalli, 620 018, Tamil Nadu, India, Muthulakshmi P , Parveen M
Published: February 2024

Objectives: Over the past few years, there prevails an abundance wealth of big data obtained via patients' electronic health records. One of the leading causes of mortality globally is the cardiovascular disease. Based on the present test and history cardiovascular disease diagnosing of patients can be done. Therefore, early and quick diagnosis can reduce the mortality rate. To address their needs, several machine learning methods have been employed in the recent past in cardiovascular disease diagnosis and prediction. Previous research was also concentrated on acquiring the significant features to heart disease prediction however less importance was given to the time involved and error rate to identifying the strength of these features. Methods: In this work we plan to develop a method called, Regularized Principal Component and Quadratic Weighted Entropy Boosting (RPC-QWEB) for predicting heart disease. Initially in RPC-QWEB, relevant features are selected to avoid missing values in the input database by employing Regularized Principal Component Regressive Feature Selection (RPCRFS). Second, with the obtained dimensionality reduced features, Quadratic Weighted Entropy Boosting Classification (QWEBC) process is carried out to classify the patient data as normal or abnormal. The QWEBC process is an ensemble of several weak classifiers (i.e., Quadratic Classifier). The weak classifier results are combined to form strong classifier and provide final prediction results as normal or abnormal condition with minimal error rate. Findings: Experimental evaluation is carried out on factors with the cardiovascular disease dataset such as heart disease prediction accuracy, heart disease prediction time, sensitivity, error rate with respect to distinct numbers of patient data. The proposed RPC-QWEB method was compared with existing Heart Disease Prediction Framework (HDPF) and Swarm Artificial Neural Network (Swarm-ANN). Novelty: RPC-QWEB method outperforms the conventional learning methods in terms of numerous performance matrices. The RPC-QWEB method produces 3% and 5% increase in terms of accuracy and sensitivity and 7% and 29% reduced prediction time and error rate as compared to the existing benchmark methods. We may use this method to predict the heart disease at early stage there by we can reduce the death rate. Keywords: Big data, Regularized Principal Component, Quadratic Weighted Entropy Boosting, Regressive Feature Selection, Classification
The Burden of Unlawful Use of Opioid and Epidemiological Characteristics in Africa: A Scoping Review protocol v1
Authors: onohuean Hope
Published: February 2024

Abstract Introduction:There is an ongoing global upsurge of opioid misuse/ abuse, fatal overdose and other related disorders and may be heating hard on the African continent, especially resource limiting sitting due to poor epidemiological surveillance systems. This study aimed to review present studies to provide scientific evidence on epidemiological data on opioid misuse, to highlight the contributing drivers, public health risk factors and reason for use, for effectiveness in control/management and intervention of the brewing opioid crisis in the region. Method: The databases (PubMed, Scopus, Web of Sciences) and references of the included studies will be searched. While theoutcome to be considered includes various studies on the epidemiology or prevalence of opioids, opioids overdose or opioids misuse or opioids abuse or opioid use/addiction or heroin or hydromorphone or hydrocodone or oxycodone ormorphine or codeine or thebaine or paramorphine or fentanyl or pethidine or tramadol or dextropropoxyphene or opioid/ heroin injection or injecting drug. We shall include all types of studies, irrespective of the designs, provided itwas conducted within the African region. However, we intend to exclude titles that dealt with opioids in palliative care or therapeutic opioid use for pain management, studies of substance use in Africa that were not opioid specific, andstudies focused only on epidemiologic estimations methodology as they were not opioid specific. Finally, we shall exclude outside Africa multinational surveys and systematic reviews in favour of original research publications. An analysis of the findings of this study will be presented narratively.
DNA yield estimation and custom DNA quality evaluation before shotgun metagenomic sequencing v1
Authors: Quinquis Benoit , not provided nathalie.galleron , Meslier Victoria , not provided mathieu.almeida
Published: February 2024

This protocol describes the procedures used for DNA quantification and a custom DNA quality evaluation before proceeding to shotgun metagenomic seqeuencing.
DNA extraction protocol for saliva samples obtained from Omigene oral OM device using the Qiagen QiaAMP Powerfecal DNA kit for shotgun metagenomic sequencing v1
Authors: Meslier Victoria , David Aymeric , not provided christian.morabito , not provided mathieu.almeida
Published: February 2024

This protocol describes the procedure for DNA extraction of saliva samples using the Omnigene OM device and the Qiagen QiaMP Powerfecal DNA PRO kit for shotgun metagenomic sequencing.
Assembly: Chronic recoverable Neuropixels in mice v2
Authors: A Aery Jones Emily
Published: February 2024

This protocol collection explains how to build a low-cost, lightweight system to implant 1 Neuropixels 1.0 probe or 2 Neuropixels 2.0 probes into mice, record during freely moving behavior, then recover the probes for future use. This protocol explains how to 3D print components, sharpen, solder, and test the probe, and prepare components for surgery. See full collection for more details.
Building a SpikeGLX Rig with camera: Chronic recoverable Neuropixels in mice v2
Authors: A Aery Jones Emily
Published: February 2024

This protocol collection explains how to build a low-cost, lightweight system to implant 1 Neuropixels 1.0 probe or 2 Neuropixels 2.0 probes into mice, record during freely moving behavior, then recover the probes for future use. This protocol first describes how to build a Neuropixels recording system using a National Instruments acquisition system and SpikeGLX software, from parts acquisition through your first recording. It also describes how to integrate a camera, including code and wiring to record and synchronize video frames. See full collection for more details.
Illunina library preparation and dual hybridization protocol of ERC GLOBAL v1
Authors: R C Soulé Vincent
Published: February 2024

Step by step protocol for library preparation of Annonaceae species within the ERC GLOBAL project. This protocol was followed for all libraries prepared within the project. Each step involves a purification phase (AMPure XP protocol), and is detailed at the start of this protocol. The protocol is done per series of 48 samples at a time with indexing. The protocol also describes the steps for the dual hybridization of Daicel Arbor Biosciences Mybaits Angiosperm353 kit + Custom Annonacea baiting kit. The protocol is based on hybridisation protocols used at DIADE research unit IRD Montpellier France and on the Hybridization Capture for Targeted NGS User Manual version 5 protocol "standard" of Daicel Arbor Biosciences Mybaits. To proceed DNA extraction of plant and in particular from herbarium and silicagel specimens of annonacea read the Annonaceae DNA extraction protocol from silicagel dried and herbarium preserved leaves Vincent Soulé1, Thomas LP Couvreur1, Cedric Mariac1 1DIADE, Univ Montpellier, CIRAD, IRD, Montpellier, France dx.doi.org/10.17504/protocols.io.5qpvorqx9v4o/v1
Thermoelectric Power Generation System for Vehicles with Weakly Mixing Engine Waste Heat
Authors: R.Kennady Et al.
Published: February 2024

This research focuses on the development of a weakly mixing power system that utilizes engine waste heat in vehicles for thermoelectric generation of electricity. The system consists of a motor with integrated starting/electricity generation capabilities and a vehicle storage battery. Additionally, the system incorporates an engine exhaust waste heat temperature difference electricity generation device and a control system. The engine exhaust waste heat temperature difference electricity generation device is connected to the vehicle storage battery. By harnessing the engine exhaust waste heat, this power system enables the generation of electricity, which can be utilized to power the vehicle's starting mechanism and various electric equipment such as electric apparatus and air conditioners. The implementation of this system offers multiple benefits, including reduced fuel loss, energy conservation, and environmental protection.
Heavy Vehicles: Distributed Hybrid Power System and Vehicle
Authors: Nagarajan Krishnamurthy Et al.
Published: February 2024

This research focuses on the development of a distributed hybrid power system and vehicle for heavy vehicles. The dynamical system comprises a power plant module, a drive module, an energy-storage module, and an entire car controller. The power plant module consists of one or more auxiliary power units that provide power to the heavy vehicle's power system. The drive module includes multiple driver elements responsible for directly driving the heavy vehicle's drive axles or operating individual wheels through direct drive. The energy-storage module serves as an energy reserve. The entire car controller is connected to the power plant module, drive module, and energy-storage module, enabling control over the activation of driver elements and the output of these elements to manage the heavy vehicle's transportation conditions. The novel approach eliminates the need for mechanical power transmission systems found in conventional engines and drive axles, allowing for flexible arrangement of auxiliary power units and driver elements on heavy vehicles.
Method for Data Acquisition of Solar Photovoltaic Assembly Array via Wireless Internet of Things
Authors: M.P.Revathi Et al.
Published: February 2024

This research focuses on the development of a solar photovoltaic assembly detection technique in the field of wireless Internet of Things (IoT). Specifically, it presents a novel method for acquiring data from solar photovoltaic assembly arrays using wireless IoT technology. The research utilizes low-cost and low-power consumption components operating at 433MHz, which serve as IoT communication infrastructure. Through the integration of embedded MCU core components, the system achieves functions such as IoT networking, data acquisition, distributed calculation, packet communication, conflict prevention, and internet connectivity. The proposed data collecting system is configurable, highly reliable, and designed to cater specifically to solar photovoltaic assembly arrays.
Class Brain Coprocessor based on Neuromorphic Circuit for Efficient Non-Formalization and Unstructured Information Processing
Authors: Raguvaran K Et al.
Published: February 2024

Class brain coprocessor is a type of coprocessor based on neuromorphic circuits that includes a memory module for storing training characteristics information, a processing module based on a hierarchical structure, and an encoder and decoder for input and output. This research proposes a memory module with a training characteristics storehouse and/or configurable training characteristics storehouse, and a processing module with a solidification functional network module and/or configurable functionality mixed-media network modules, which enhances the extended capability of the coprocessor. The proposed coprocessor employs distributed storage and concurrent collaborative processing, making it particularly suitable for handling non-formalization problems and unstructured information, as well as form problems and structured messages. The results show that this coprocessor significantly accelerates the speed of computers in processing class brain,informationificial intelligence, and reduces energy consumption while improving fault-tolerant ability, reducing programming complexity, and improving computing power.
Multispectral Image Fusion using Deep Neural Network A Novel Approach
Authors: Raguvaran K Et al.
Published: February 2024

Polychromatic imaging is widely used in various fields including remote sensing, medical imaging, and industrial inspection. However, due to the limitations of imaging sensors, polychromatic images often suffer from low geospatial definition and poor optical fidelity. To address these issues, we propose a novel method for polychromatic image fusion based on deep neuronal system (DNN). Our method involves building a training set of high-definition and low-definition image blocks, utilizing an improved sparse denoising self-encoding encoder learning training neuronal system model for pre-training, and finely adjusting the frameworks of the DNN model. The proposed method is capable of preserving both the high geospatial definition and optical information of the polychromatic image. Experimental results demonstrate that our method outperforms state-of-the-art methods in terms of both objective and subjective quality measures.
A Strategy for Developing an Effective Cache Catalogue in the Communication Domain
Authors: O.Pandithurai Et al.
Published: February 2024

This research paper presents a method and device for resolving the challenges faced in the prior art, specifically related to low access speed of the cache catalogue and low storage use efficiency. The proposed method involves the construction of a cache catalogue, comprising a public data catalogue and a private data catalogue. The public data catalogue records data block information of public data, while the private data catalogue records data block information of private data. Additionally, the method includes determining the data type of the target data associated with a read-write request transmitted by a first processor. This data type can be classified as private data or public data. The target data's data block information is then recorded in the cache catalogue. The method and device presented in this research are suitable for the communication field and aim to enhance the recording of data block information in a multi-processor system.
Hadoop-based File Monitoring System for Processing Image Data
Authors: O.Pandithurai Et al.
Published: February 2024

This paper presents a file monitoring system based on the Hadoop framework, specifically designed for image data processing. The system comprises a Hadoop cluster and a client, where the Hadoop cluster includes various modules such as a name node module, a name node agent module, data node modules, a matching module, and a response algorithm module. The name node agent module acts as an intermediary between the client and the name node module, forwarding function information and acquiring configuration information. The system provides comprehensive monitoring capabilities for the distributed file system, enabling real-time handling of requests and messages.
Utilization Of Artificial Intelligence (AI) And Machine Learning (ML) in the Field of Energy Research
Authors: Mohammed Saleh Al Ansari Mohammed Saleh Al Ansari
Published: February 2024

Many governments have committed to becoming carbon neutral by 2050. The main argument is that renewable resources are more eco-friendly than fossil fuels. However, the unpredictable nature of solar and wind power results in either excess or lack of energy generation. This article will evaluate the current machine-learning-based solutions for forecasting renewable energy demand and capacity. Many researchers have used machine learning (ML) to anticipate the amount of generated wind or solar energy. SVM, RNN, NN, and ELM are the most utilized algorithms. Prediction accuracy is improved through optimization (metaheuristics and evolution). These methods can forecast renewable energy for periods ranging from seconds to months. This article compares several ML methodologies and metaheuristic strategies and reviews the current state of research. The hybrid MLS outperforms the standalone optimizers. A more extensive data set for ANN, the introduction of NWP, and a shorter prediction timeframe are suggested as alternatives to Bayesian and random grid tuning. Further research on probabilistic predictions and mathematical relationships between inputs and outputs is needed to close the research gap.
Reliable Techniques for Providing Secure Access Control for Cloud Storage on Mobile Devices
Authors: R.Kennady Et al.
Published: February 2024

This research focuses on the development of a credible access control method for mobile device cloud storage. The proposed method involves a six-step process, including user registration and login, key generation, data encryption and upload, authentication theory between mobile devices, and data download and decryption. The method incorporates the use of mobile TPM (Trusted Platform Module) chips to ensure trust chain transmission during key exchange. Additionally, encryption based on elliptic curve cryptography is employed to reduce the key length and facilitate secure key sharing among multiple mobile devices. The proposed method offers enhanced security and reliability compared to conventional data encryption methods provided by cloud storage service providers, with minimal interaction data and increased confidence level. It holds significant practical value and exhibits a wide range of potential applications in the field of cloud storage security technology.
A Nonoverlapping Vision Field Multi-Camera Network for Tracking Human Build Targets
Authors: R.Kennady Et al.
Published: February 2024

This research presents a procedure for tracking human build targets in a multi-camera network with nonoverlapping vision fields. The proposed approach consists of three main steps: single-camera target detection, single-camera target tracking, and multi-camera target association and continuous tracking. The multi-camera target association includes target characteristic extraction and the establishment of topological relations. Target characteristics are extracted based on the HSV (Hue, Saturation, and Value) values of each human build movement target, and the space-time topological relations of the multi-camera network are established using the obtained target associations. This procedure enables the continuous tracking of human build movement targets in large scenes, overcoming the limitations of monitoring within the narrow field of view of a single camera.
Bio functional Surface Alteration Process for Inorganic and Metal Materials Derived from Polydopamine
Authors: P.Mathiyalagan Et al.
Published: February 2024

This research presents a novel polydopamine-derived biofunction alterationprocedure for inorganic and metal materials. The procedure involves a series of steps, including soaking the clean materials in a dopamine alkaline aqueous solution, oxidizing the materials to form a polydopamine alteration layer, performing thermal oxidation to enhance the reactivity and stability of the layer, and immersing the treated materials in a biofunctional molecular solution to obtain a biofunction simulate alteration layer. The polydopamine alteration layer obtained through this procedure exhibits excellent anti-deformation performance and reactivity, allowing for the immobilization of bioactive molecules on the material surface. The simplicity, mild conditions, and ease of implementation make this procedure highly practical.
Design and Construction of a Hydroelectric Drive Coiled Tubing Downhole Tractor
Authors: Hari Prasadh S Et al.
Published: February 2024

This research focuses on the design and development of a novel hydro-electric drive coiled tubing downhole tractor. The tractor consists of upper slips and supports, a trailer structure, a center slip pipe assembly, a control structure, and a lower slips support structure. The unique design of the tractor allows for better control, making it suitable for slim hole well towing operations. Additionally, it ensures normal down-hole liquid circulation, offers flexible bending adaptability, and provides excellent stability. Unlike conventional tractors, this innovative design enables bivector traction, allowing for smooth pulling motion in both directions. Moreover, the tractor incorporates power-off protection to enhance operational safety.
Optical Grating Diffraction and Optical Beat Frequency Principle-Based Ultrahigh Resolution Displacement Measurement System
Authors: O.Pandithurai Et al.
Published: February 2024

This research presents a novel displacement measurement system that combines optical grating diffraction, the optical Doppler principle, and the optical beat frequency principle. The system utilizes a double-frequency laser device, an interferometer, a measuring grating, and an electrical signal processing unit. By dividing the laser into reference light and measuring light and analyzing the beat frequency signal generated by the interaction of the measuring light and the reference light, the system achieves precise linear displacement measurements in two directions. The system offers sub-nanometer-grade or even higher resolution and accuracy, simultaneous measurement of horizontal large-stroke displacement and horizontal displacement, and exhibits advantages such as environmental insensitivity, high measurement accuracy, compact size, and lightweight. The proposed system finds potential applications in ultraprecise workpiece platform position measurement systems, contributing to the overall performance improvement of lithography machines.
Scientometric analysis of dissertation papers on pediatric dentistry in Russia
Authors: Soldatov Ivan К. , Juravleva Lilia N. , Tegza Nikolaj V. , Sevryukov Fedor A. , Berdnikova Ekaterina I.
Published: February 2024

BACKGROUND: One of the crucial directions of scientific research within the scientific specialty “Dentistry” is the study of pediatric dentistry as an independent area of scientific knowledge and development of its scientific directions. Comprehensive research on the development of scientific directions and assessment of modern trends in the field of pediatric dentistry over the past quarter century has not been conducted. Analysis and comparison of scientific research conducted on each problem of pediatric dentistry is warranted.
AIM: To assess the state of scientific research and identify priority areas in pediatric dentistry from 1993 to 2020.
MATERIALS AND METHODS: In total, 977 dissertation abstracts on pediatric dentistry, previously selected and added to the database, were analyzed. This study focused on dental issues in children and adolescents as presented in dissertation materials from 1993 to 2020.
RESULTS: A scientific search of electronic databases revealed 977 dissertation abstracts on dental care issues in children. On average, 35.0±2.5 studies were presented annually for consideration by dissertation councils. The main research directions were as follows: pediatric therapeutic dentistry, 375 studies (38.4%); orthodontics and dentofacial anomalies in children, 229 dissertations (23.4%); epidemiology, public health, and organization of dental care for children, 125 studies (12.8%); surgical dentistry and maxillofacial surgery in children, 203 studies (20.8%); pediatric orthopedic dentistry, 33 studies (3.4%); and highly focused research (morphology, anesthesiology, etc.), 12 studies (1.2%).
CONCLUSION: The study of pediatric dentistry issues in Russia has a comprehensive nature, representing one-fifth of all scientific research in dentistry as a whole.
Revisión Preliminar de la Literatura sobre la Capacidad de Carga en Playas del Pacifico y Caribe Colombiano
Authors: Torres Ochoa Eliecer , Pineda Vides Fausto , Dede Badillo Jesús DaviD , Andrade-Perez Jaime-Rafael , Mier-Tous Jesus-Manuel
Published: February 2024

En esta revisión preliminar de la literatura, abordamos la capacidad de carga en las playas del pacífico y el Caribe colombiano, con el objetivo de responder al siguiente interrogante: ¿Qué dice la literatura científica disponible en las bases de datos sobre la capacidad de carga en Playas del Caribe y el Pacifico de Colombia? Para lograrlo se realizó una exhaustiva revisión de literatura utilizando la base de datos de Google académico, la estrategia de búsqueda se centró: (“Capacidad de Carga Ecológica para Turistas en Playas de Colombia”). Se estudiaron un total de 11 manuscritos seleccionados que estaban vinculados con las playas del pacífico y Caribe colombiano y utilizaron la estimación de capacidad de carga en sus estudios. Sin embargo, se destacaron 978 documentos ya que no estaban relacionados con dichas playas y no abordaban la estimación de capacidad de carga. Se destacan 2 tipos de turismo presentes en las playas: el de sol y playa y el ecológico. En cuanto a los métodos para evaluar capacidad de carga se encontró que los más empleados son enfoques físicos, real y efectivo. Lamentablemente, se revela una preocupación por la escasez de trabajos relacionados con la capacidad de carga en el área específica de las playas en el Pacifico y caribe de Colombia. Se infiere que la falta de estudio muestra el panorama sobre la falta de gestión sostenible del turismo en la zona. Por lo tanto, es necesarios que futuros estudios aborden esta cuestión para comprender mejor el impacto del turismo en las playas y desarrollen estrategias adecuadas para su manejo y preservación.
Análisis de un Modelo de Ubicación de Carga Usando CPLEX Caso. Transporte de Leche UHT en Eur-pallet
Authors: Gómez-Jiménez Angela , Arias-Escobar Juan Pablo , Pereira-Mejía Jean , Pérez-Barraza Camilo , Pirabán-Ramírez Andrea
Published: February 2024

En este estudio se analizó el transporte de la cadena de abastecimiento de la leche y almacenamiento. El objetivo es diseñar un flujo eficiente y efectivo de materiales a través de los sistemas de transporte y distribución en las cadenas. Se identificaron las características de los productos y embalajes. Se investigó específicamente la caja de leche UHT Cañada Real de 1 litro y se seleccionaron los pallets adecuados para el proceso. Se identificaron los clientes y las posibles bodegas, se calcularon los tiempos de ruta entre ellos, Como dimensiones y peso de las unidades de carga y capacidad de los vehículos. Dando como resultado que se pueden transportar 144 cajas de leche en 6 cajas máster y 24 cajas de empaque en un nivel de tendido en un Euro pallet. Utilizando un modelo de localización con capacidad en CPLEX, se logró encontrar una solución óptima que minimiza el costo total a $22.940.205. Además, se determinó la ubicación de la bodega (bodega número 4) y cantidad de unidades que serán enviadas desde esta a los clientes. Como resultado final, se solucionó el problema de ruteo de vehículos con capacidad, diseñando la ruta de cada vehículo que iba de la bodega a los clientes, obteniendo el tiempo mínimo de la flota de vehículos de 122 minutos y 3 rutas para satisfacer esta demanda con un turbo.
Aplicación del Método Systematic Layout Planing (SLP) en Una Estación De Servicios de Puerto Colombia
Authors: Charris-Charris Rosa , Coronado-Castrillón Luisa , González-Galindo Diana , Rivera-Rojas Laura
Published: February 2024

La presente investigación es de corte cualitativo, descriptiva y es basada en la implementación de la metodología SLP en una estación de servicios del municipio de puerto Colombia. Dicha herramienta es utilizada para mejorar el diseño de las instalaciones de producción, almacenamiento y servicios en las organizaciones. Se tiene como propósito evaluar la distribución en planta de una estación de servicios, con el fin de formular una propuesta que permita mejorar el diseño, distribución de sus áreas y garantizar un desplazamiento seguro de sus colaboradores, así como también optimizar el almacenamiento de insumos y la atención, con el fin de ofrecer una experiencia segura y satisfactoria para los clientes y se aumente la productividad del proceso y los trabajadores. Para el desarrollo se utilizó la metodología Systematic Layout Planning, cuyos pasos involucran la caracterización del proceso, la aplicación de los gráficos y diagramas de relaciones, el cual de acuerdo a su aplicación dio como resultado un nuevo diseño de distribución de la planta, donde se espera una reducción del manejo de materiales, áreas de trabajo más eficientes con mayor grado de flexibilidad, además de la mejora del ambiente laboral y atención al cliente
Emergence of FinTech Ecosystem: A Case Study of 'bKash' in Bangladesh
Authors: Hosen Md Saikat , Rahman Md. Habibur
Published: February 2024

The cutting-edge economy has a lot of new wheels that turn the fortune of contemporary times. Monetary innovation is no question one of those. The new credit-only economy depends on these computerized monetary administrations. As of late, financial organizations, particularly banks, have become more subject to these howdy tech administrations. For the review, the information has been gathered by poll overview utilizing the positioned technique for examination utilizing SPSS, in which IT-related individuals have been studied. The study explains the characteristics and features of FinTech ecosystems emerging in Bangladesh. The "bKash" in Bangladesh is particularly appropriate for our research as it seeks to become a world-class Fintech hub for innovation by capitalizing on the opportunities brought by global technological trends. The study uses the CAS process model for analyzing biological systems, difficulties, and possibilities of fintech, especially bKash in Bangladesh. The results show that bKash has a promising future can significantly uplift Bangladesh's economy.