bluuebunny/crossref_metadata_2025 huggingface dataset:
Generalized Fuzzy Technique and Its Consistent Assessment in Multi-criteria Decision Making of Medical Decisions
Authors: Kumar Kamesh , Sharma M. K.
Published: February 2024

Multi-criteria decision making (MCDM) is introduced using trapezoidal vague numbers (TVNs) in medicine. Initially concepts of centroid and signed distance are generalized for TVNs. We also provide some desirable properties of the proposed distance measure. The decision making involves the medical diagnostic problem to reduce the vagueness and non-specificity from its environment. In this MCDM, each symptom is classified into some criteria. States of the patients, weights for the existing symptoms are assumed as vague point entries and relations of symptom criteria and diseases are considered using trapezoidal vague number entries. The usefulness of the developed approach is when it shows its capability and validity of the delivery. A numerical computation is illustrated with the whole procedure of the decision making. To show the capability and distinctness of the proposed methodology, a comparative discussion for outcomes is given with pre existing method. Present method coincides with existing fuzzy based method for the initial diagnosis while possibility differences for patient P1 and patient P2 range from 1–16.3% by the method based on existing traditionally fuzzy approach and in present approach these differences range from 2.15–7.46%. In the present approach, addition to the membership, another function called non membership is taken that contributes the upper bound of membership. Between these two memberships the hesitation part is dealt sophisticatedly. Also consideration of trapezoidal vague number as membership grade than the point estimation handles the blur cloud of association effectively.
Microarray Data Analysis and Subgroup Identification of Medulloblastoma Patients
Authors: Gunaretnam Keerthana
Published: February 2024

Microarray technology, a recent advancement in cancer research, has the potential to address disorders such as medulloblastoma. This study focused on the careful analysis of microarray data for medulloblastoma patients, aiming to identify physiologically significant subgroups through exploratory analysis. The research involved data preparation, exploration, dimensionality reduction via principal component analysis (PCA), heatmap visualization, and subgroup identification via non-negative matrix factorization (NMF). Various R packages, including RColorBrewer, rgl, limma, biobased, and NMF, were utilized for data analysis and visualization. The study explored the application of NMF to identify optimal subgroups and assessed the quality of these subgroups. The results reveal distinct molecular subgroups in medulloblastoma, contributing to a better understanding of this complex condition and potentially guiding the development of tailored treatments.
The effect of palliative care on quality of life outcome of patients with advanced cancer: A systematic review.
Authors: Asrat Gashaye , Asrat Fekade , Yohannes Zemene
Published: February 2024

Background: Palliative care (PC) interventions aim to relieve and prevent suffering in the physical, psychosocial, and spiritual domain. Therefore, palliative care is carried out by a multi-professional team with different occupations (e.g., physician, nurse, psychologist, social worker and chaplain). Remaining skepticism concerning the need for palliative care may be based on the scarcity of high-quality evaluations about the external evidence for palliative care. Therefore, the aim of a systematic review is to examine the effects of palliative care for adults with life threatening illness.
Methods/design: The comprehensive systematic literature search will include randomized controlled trials (RCTs) and cluster RCTs. We will search the databases MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials (CENTRAL), and Pubmed. Patients must be adults suffering from life-limiting diseases. Proxy and caregiver outcomes will not be assessed in order to ensure a clear and well-defined research question for this review. Interventions may be in or outpatient setting, e.g., consulting service, palliative care ward, and palliative outpatient clinic. In line with the multi-dimensional scope of palliative care, the primary outcome is quality of life (QoL). Key secondary outcomes are patients’ symptom burden, place of death and survival, and health economic aspects. We used the Cochrane Collaboration risk of bias assessment tool. The quality of evidence judged according to the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach.
Discussion: The available evidence summarized and discussed to provide a basis for decision-making among health care professionals and policy makers. For PC, we believe that multi-professional care is of utmost importance. Therefore, single-profession interventions such as physician consultations would not be included. Based on the multidimensional scope of palliative care, we chose QoL as the primary outcome, despite an expected heterogeneity among the QoL outcomes. The statement suggests that using one-dimensional endpoints such as "pain" to measure the scope of patient care (i.e., quality of life) may be inadequate, as per the World Health Organization's definition. This implies that a more comprehensive approach is needed to capture the full extent of patient well-being.
Deferoxamine in the Treatment of Hemophilic Synovitis by Inhibiting Macrophage Iron Overload
Authors: Yuan Fang Zhi , Chengwei Wang , Zhu Jiang , Yangyang Gou
Published: February 2024

Hemophilia frequently results in intra-articular bleeding, leading to substantial iron accumulation in the synovium, which facilitates M1 macrophage polarization and triggers synovitis. While current therapeutic approaches predominantly involve surgery, this study seeks to identify small molecule drug targets for treating hemophilic synovitis. In vitro RAW264.7 macrophages were categorized into five groups based on varying concentrations of deferoxamine: Ctrl, Fe, DFO1, DFO2, and DFO3. Rats were divided into five groups for differing doses of deferoxamine intra-articular injections: A-Ctrl, A-Fe, A-DFO1, A-DFO2, and A-DFO3. Excluding the A-Ctrl group, all other groups received injections of autologous venous blood into their knee joints. The relevant indexes were detected by experiment. In vitro experiments indicated no iron overload in the macrophages of any deferoxamine group, with morphological analyses showing no shift towards an M1 polarization phenotype. qPCR showed no significant change in iNOS expression, and Western Blot analysis confirmed no significant increase in iNOS and p-4E-BP1 proteins. ELISA results indicated stable levels of TNF-α and IL-6 in the supernatant. In animal studies, Prussian blue staining revealed a concentration-dependent reduction in iron deposition in the synovium across groups. Immunohistochemistry highlighted significantly higher F4/80 protein expression in the synovium of each treatment group compared to the A-Ctrl. With increased deferoxamine concentrations, iNOS and p-4E-BP1 protein expressions significantly declined, whereas Arg-1 expression notably increased, all in a concentration-dependent fashion. Iron overload within synovial cells may drive M1 macrophage polarization via phosphorylation regulation of 4E-BP1 in the mTORC1-p70S6K/4E-BP1 pathway, leading to joint cartilage damage.
Micronutrient Limitations in Crop Production and Strategies for Improvement: A Review
Authors: Adal Yimam Mekonen , Mulat Kasye Shitu
Published: February 2024

Crop productivity in developing countries is hindered by micronutrient deficiency, particularly in the third world, leading to challenges in achieving higher yields. The unbalanced use of fertilizers for higher agricultural production has resulted in soil fertility exhaustion and imbalances in major, secondary, and micronutrients. The intensified cultivation, erosion, and loss of micronutrients through various processes have led to an escalation in crop micronutrient insufficiencies, impacting both crop productivity and human nutrition. African soils, including those in Ethiopia, suffer from multiple nutrient deficiencies, affecting staple crops and leading to poor nutritional quality in diets. In Ethiopian soils, there is a widespread occurrence of micronutrient deficiencies, specifically in zinc, boron, and copper, which adversely impact the productivity of crops. The introduction of mineral fertilizers in Ethiopia in the 1970s has not addressed micronutrient deficiencies adequately. The review emphasizes the importance of micronutrients in global crop production and their role in addressing hunger and malnutrition. The limited use of micronutrients in developing countries contrasts with their significance in improving crop yield and quality. Micronutrient deficiencies can have severe consequences on plant growth, yield, and human health. The review concludes by stressing the significance of addressing micronutrient deficiencies for optimal crop production and human nutrition. The goal of the review is to present a comprehensive understanding of the significance of micronutrients for crop production.
Training for parents of children with autism: a systematic review
Authors: Vargas Juliana Rosendo , de Oliveira Cristiano Pereira , Cesa Marcela Lahiguera
Published: February 2024

Purpose: This study aims to evaluate the effectiveness of parental training as a tool for parents of children with Autism Spectrum Disorder (ASD), with a focus on expanding these children's social skills.
Methods: Using a systematic review approach with qualitative and quantitative content analysis, nine scientific articles were analyzed in the format of empirical research. Among the studies, some works with randomized clinical trials, the Prisma protocol guided the critical analysis to validate the quality of the research articles.
Results: The results highlight the fundamental need for parent training to enhance the success of behavioral intervention in ASD. Scientific evidence points to better prognoses for treatments based on ABA science, emphasizing the importance of including parents in the process. The findings recommend structured theoretical and practical training sessions, with clear guidelines, modeling, training and feedback to reinforce the continuity of the process, showing positive results.
Conclusion: The study strengthens the concept of parental training for children with ASD, based on a teaching protocol, involving qualified professionals. The implementation of structured interventions, combined with parental psychological guidance, contributes significantly to reducing autism symptoms and improving the quality of life of these families.
Ressources heuristiques et pratiques du minimalisme de Ruwen Ogien pour l’approche critique des mutations numériques contemporaines en éducation
Authors: Roelens Camille
Published: February 2024

Cette contribution, de nature théorique, conceptuelle et intertextuelle, procède de la philosophie politique de l’éducation et de l’éthique interdisciplinaire, dans une perspective pratique et appliquée au numérique, ou plus exactement à la numérisation du monde démocratique hypermoderne. Nous commençons par esquisser un panorama des différentes manières dont la notion d’approche critique du numérique en éducation peut être comprise, et par y positionner notre propre démarche. Nous nous demandons ensuite comment il pourrait être possible de penser des politiques publiques du numérique en éducation permettant de faire vivre l’ambition d’une éducation humaniste dans un monde problématique et la prise en compte de l’intrication étroite liant normativement démocratisation et numérisation. Nous présentons d’abord (1) les ressources que recèlent dans cette optique les travaux d’Ogien. Nous montrons ensuite (2) l’intérêt d’une ressaisie des articulations entre éducation et humanisme dans une perspective critique et minimaliste d’une part et à l’aune des mutations numériques du monde d’autre part. Nous traitons enfin (3) de ce qui constituerait un perfectionnisme numérique au sein des institutions publiques d’éducation et de formation et tâchons de discerner les conditions auxquelles la promotion d’un humanisme numérique peut en être exempte.
Kepadatan dan Kesesakan Dipengaruhi oleh Setting dan Perilaku Pengunjung Mie Gacoan
Authors: Tanujaya Helena Monica Sugiharto , Nainggolan Freddy Marihot Rotua , Panjaitan Irwin
Published: February 2024

Title: Density and Crowding Influenced by the Setting and Visitor Behavior of Gacoan Noodles

Mie Gacoan is the number 1 spicy noodle restaurant in Indonesia, where Gacoan noodles are a favorite food for millennial children today. Gacoan noodles have become a market leader in various regions. This has resulted in an explosion of Gacoan visitors, especially young people. In Yogyakarta, a bustling Gacoan noodle restaurant is located on Jalan Affandi No.9, Karang Gayam, Pelemkecut, Kec. Depok, Yogyakarta City, Special Region of Yogyakarta 55222. Mie Gacoan Gejayan is one of the busiest Gacoan in Yogyakarta. This can be seen from the entire parking, queuing, waiting, and eating areas. Most of the crowds that occur in Gacoan Gejayan do not cause overcrowding (a place being complete due to the user capacity being higher than the area capacity) or crowding (a feeling of space that is not spacious, limited and uncomfortable, or even pressured) which is due to the physical setting or layout arrangement. The physical setting and the comfortable and attractive layout of the area will invite users to choose the area according to the needs, behavior, and capacity of the space or user.
A STUDY ON CLINICO-ETIOLOGICAL PROFILE OF MYCOTIC KERATITIS IN TERTIARY CARE HOSPITAL AT GOVERNMENT MEDICAL COLLEGE, KOTA (RAJASTHAN)
Authors:   Post Graduate Resident (Final Year), Dept. of Microbiology, Govt.Medical College, Kota., Gupta Vipin , Verma Dinesh ,   Professor & Head, Dept. of Microbiology, Govt.Medical College, Kota.
Published: February 2024

Introduction: Keratitis is an inflammation of the cornea. Infective keratitis is an ocular emergency that requires prompt and appropriate management to ensure the best visual outcome for the patient. This study was planned to determine the fungal aetiological agents and predisposing risk factors causing corneal ulcer in patients. Methodology: This study was conducted in department of Microbiology at a tertiary medical facility This Analytical Cross-sectional study, was conducted for the study period of one year from May 2021 to April 2022. Total 100 patients of infective keratitis were enrolled in the study period. Cases who have received treatment previously either systemic or topical antifungal in the last six months duration were excluded from the study. Results: Trauma was found to be the most common predisposing factors present in almost two third (64%) of cases. The peak of the fungal kerartits cases were seen in September- October and Februrary- March. Sensitivity and specificity of 10% KOH wet mount was 93.75% and 98.5% respectively. Out of 31 culture positive the most common organisms isolated were Aspergillus spp in 16 samples, followed by Fusarium spp in 6 samples, and Candida spp in 6 samples. C.albicans was found 100% sensitive to Clotrimazole, Nystatin and Amphotericin-B, while 75% sensitive to Itraconazole and 50% sensitive to Fluconazole. Conclusion: Mycotic keratitis has a significant burden in corneal keratitis. The KOH preparation can be used as an ideal technique for revealing fungal elements. The awareness about the ocular hygiene and protection, from occupational hazard needs to be emphasized in case of any ocular trauma and disease.
MUCINOUS CYSTIC NEOPLASM OF LIVER - PEELING SIGN MITIGATES A DIAGNOSTIC CONUNDRUM
Authors:   Professor & Head, Department of Surgical Gastroenterology, Govt. Kilpauk Medical College and Hospital, Chennai, Tamil Nadu, India., Lakshmanan Anand , Mohan Krishnamoorthy ,   Registrar, Department of Surgical Gastroenterology Govt. Kilpauk Medical College and Hospital, Chennai, Tamil Nadu, India.
Published: February 2024

Background: Mucinous cystic neoplasms (MCN) are rare primary cystic neoplasms of the liver. It is commonly misdiagnosed for other cystic SOLs of liver. Clinical management of MCN is challenging due to scant literature on pre-operative and per-operative indices to distinguish MCN from other cystic SOLs of liver. Imprecise diagnosis leading to suboptimal surgical management results in recurrence and progression to malignancy. Methods: A retrospective analysis of cystic SOLs from July 2019 to July 2023 was analyzed in our centre. Data collection included demographics, clinical presentations, imaging characteristics, surgical techniques, intra-operative observations, complications, histopathology, post-operative follow-up, morbidity, and mortality. Results:Between July 2019 and July 2023, six patients were diagnosed and treated for MCN at our centre. Female patients were predominant (5 out of 6) with average age of 45.5yrs (Range 26-53). Abdominal discomfort was the commonest symptom (50%). All patients underwent abdominal ultrasounds and CT scans, while MRI was done in one patient. Two were misdiagnosed with non-neoplastic liver cysts and one had an ambiguous diagnosis. Four patients underwent liver resection and two had enucleation. All were MCN by HPE. In 3 patients, with ambiguous pre-op diagnosis, our recommended pre-operative and per-operative strategy including THE PEELING SIGN was helpful in diagnosing MCN. No recurrences were observed at 43 months of follow up. Conclusions:Liver MCNs are infrequent and often mistaken for other hepatic cystic conditions. By applying our pre-operative and per-operative indices, patients with MCN of liver can be diagnosed with precision and offered radical surgery.
ASSESS THE EFFECT OF PLANNED TEACHING PROGRAMME ON KNOWLEDGE REGARDING VENTILATOR BUNDLE CARE TO PREVENT OCCURRENCE OF VENTILATOR ASSOCIATED PNEUMONIA AMONG NURSING OFFICERS WORKING IN SELECTED HOSPITAL, LUCKNOW
Authors:   MSc. Nursing IIndYear student, Era College of Nursing., Khatri Ragini , Mishra Pooja ,   Associate Professor, Era College of Nursing., Zahra Firoz ,   Assistant Professor, Era College of Nursing.
Published: February 2024

Astudy to assess the effect of Planned Teaching Programme on knowledge regarding ventilator bundle care to prevent occurrence of ventilator associated pneumonia among nursing officers working in selected hospital, Lucknow.The pre-experimental with one group pre test post test design was used. 50 nursing officers were included in the study. Thesocio demographic and knowledge questionnaire was collected. The knowledge level of nursing officers was assessed by self structured questionnaire.Ethical clearance was obtained from the Institutional Ethics Committee Board of Eras Lucknow Medical College & Hospital and formal permission obtained from Hospital prior to conducting the study. The data was analyzed using descriptive and inferential statistics.Finding related to planned teaching programme by comparing pre test and post test knowledge level in among nursing officers. A significant association existed among nursing officers at p value <0.05. The mean difference was 8.860 between the pre-test and the post-test level of knowledge among nursing officers. The paired t value (19.013) was found to be significant (p=<0.001). Thus indicating that planned teaching programme was effective regarding ventilator bundle care to prevent occurrence of ventilator associated pneumonia among nursing officers.
HYDRO-TELLURIC FLUOROSIS IN MOROCCO: TOXICITY, FLUOROPATHY AND CURRENT STATE OF PREVENTIVE ASPECTS
Authors:   Hassan II Institute of Agronomy & Veterinary Medicine, Toxicology and Pharmacy Department, Rabat - Morocco., Fatima Ezzahra Lahkak , Hicham Raggadi ,   Hassan II Institute of Agronomy & Veterinary Medicine, Toxicology and Pharmacy Department, Rabat - Morocco., Nyssrine Mannani ,   Science University, ChouaibDoukkaliUniversity, El Jadida -Morocco., Morad Guennouni ,   Science University, ChouaibDoukkaliUniversity, El Jadida -Morocco., El Hassan Abdennebi ,   Hassan II Institute of Agronomy & Veterinary Medicine, Toxicology and Pharmacy Department, Rabat - Morocco.
Published: February 2024

Prolonged exposure to fluorides causes chronic fluoride intoxication in humans and animals, which the main manifestation is, osteodental fluorosis. In Morocco, fluorosis affects a large number of animals, particularly ruminants, and constitutes a serious handicap in contaminated regions, both economically and in terms of health. It is identified by a change in the color, structure and orientation of the teeth, and by a change in the structure and texture of the bones. Regardless of the animal species affected, fluorosis appears after a relatively long period of exposure, from several months to several years, by disorders of phosphocalcic metabolism resulting in osteodental changes associated with various general symptoms. These lesions compromise the grip, chewing and movement of the animals, and thus cause malnutrition, a drop in productivity and sometimes may lead to death. These disturbances have the characteristic of being irreversible, since once installed, no treatment allows to eliminate them in a definitive way, prevention is therefore the only way to alleviate. In order to face this fluoride intoxication, farmers use mainly empirical methods, such as transhumance, the purchase of animals from fluoride free zones or their sale at a young age before the appearance of dental lesions. The reduction of ingestion by using water sources and feed with low fluoride content as well as the supplementation of minerals (Al, Mg, B, Ca) and vitamins (the case of vitamin C) to limit absorption, are also practiced. However, aluminum-based licking salt blocks and supplemented feed enriched with minerals and vitamins are no longer used due to the lack of financial means of some breeders and state financial support. While the preventive effects of calcium, magnesium and boron, have still not been the subject of clinical studies in ruminants. Decidedly, the lack of vulgarization and the socio-economic level of the population, as well as the lack of financial support, constitute the main obstacles in the ultimate goal of counteracting hydrotelluric fluorosis.
AN ANALYSIS OF ROLE OF WOMEN ENTREPRENEURS IN MSME SECTOR IN INDIA
Authors:   Research Scholar, Department of Commerce, Dr. Harisingh Gour Vishwavidyalaya, Sagar, Madhya Pradesh., Patel Abhilasha , Rewadikar Bhawana ,   Assistant Professor, Department of Commerce, Dr. Harisingh Gour Vishwavidyalaya, Sagar, Madhya Pradesh.
Published: February 2024

Micro, small and medium enterprises or MSMEs are called the Growth Engines of Indian economy as they contribute immensely in its growth and development through industrialization and employment generation. With the growth in MSME sector it has also provided entrepreneurial opportunities to women which has resulted in positive socio-economic impact in India. This study is an endeavour to assess the current scenario of women entrepreneurs in the MSME sector. The findings of the study shows that the share of women owned MSMEs is 20.37% is India whereas share of male owned MSMEs is 79.63%, which reflects the male dominance in MSME sector. In comparison in female owned MSMEs West Bengal has the largest share of 23.42% of women owned MSMEs. The MSMEs has grown over time but there is still need to work to increase the contribution of female entrepreneurs in the sector.
SEROPREVALENCE OF SCRUB TYPHUS AND LEPTOSPIROSIS IN PATIENTS WITH ACUTE FEBRILE ILLNESS IN A TERTIARY CARE HOSPITAL, VIJAYAWADA, A.P
Authors:   M.D., Associate Professor, Depatment of Microbiology, Siddhartha Medical College, Vijayawada, Andhra Pradesh., Sarada D. , Sowmya P. ,   Reaearch Scientist, VRDL, Depatment of Microbiology, Siddhartha Medical College, Vijayawada, Andhra Pradesh., Krishnam Raju L. ,   VRDL,Depatment of Microbiology, Siddhartha Medical College, Vijayawada, Andhra Pradesh., Suresh Babu B. ,   VRDL,Depatment of Microbiology, Siddhartha Medical College, Vijayawada, Andhra Pradesh.
Published: February 2024

Two significant causes of acute febrile illness are Scrub typhus and Leptospirosis, these zoonotic illnesses are primarily transmitted by rodents. Both illnesses present with similar and non-specific clinical symptoms, have a similar seasonal trend and can be identified by IgM ELISA. This study aims at identifying the presence of antibodies to scrub typhus and leptospirosis and their co-infection in patients of all age groups by IgM ELISA. Data was collected retrospectively over a period of four years, from January 2019 to September 2023 and analysis was done. A total number of 320 samples were received at the laboratory during the study period and IgM ELISA was performed for both scrub typhus and leptospirosis for all the samples received.Of the 320 samples tested, IgM ELISA for Scrub typhus was positive in 72(22.5%), Leptospirosis in 23(7.18%) and 6(1.87%) for both Scrub typhus and Leptospirosis were seen. Seroprevalence of Scrub typhus was more in Male population whereas Female predominance was observed in Leptospirosis. Age group in our study ranged from 0-60 years and most of the infected individuals are from Rural areas.As both leptospirosis and scrub typhus present with similar clinical features, co-infection of these two diseases may occur and require early diagnosis which helps the physician in treating the cases. IgM is a cost effective method of diagnosis of these zoonotic infections and plays a major role in early diagnosis therby reducing the morbidity and mortality in health care settings.
ANALYZING THE EFFECT OF SOCIAL MEDIA AND INFORMATION CHANNELS ON CONSUMER KNOWLEDGE ABOUT SUSTAINABLE DAIRY PRACTICES IN THANE
Authors:   Associate Professor, DTSS College of Commerce, Malad East., Noaman Umer Khatib , J. Singh Manisha ,   Research Scholar DTSS College of Commerce, Malad East.
Published: February 2024

Purpose: This research aims to investigate consumer knowledge about sustainable dairy practices in Thane, employing a sample of 250 participants through convenient sampling. The study focuses on understanding the predictive relationships between social media usage, exposure to information channels, and consumer knowledge. Design/Methodology/Approach: The research utilizes a structured Likert-scale survey encompassing demographic information, consumer knowledge assessments, and insights into social media usage and information exposure. Linear regression analysis is applied to examine the statistical significance and strength of the identified relationships. Findings: The findings reveal a significant impact of social media usage and exposure to information channels on consumer knowledge about sustainable dairy practices. Specific patterns and preferences emerge, contributing to a nuanced understanding of consumer perceptions in Thane. Practical Implications: The studys results hold practical implications for communication strategies aimed at enhancing consumer awareness of sustainable dairy practices. Recommendations include targeted communication campaigns, diversified content creation, collaboration with influencers, continuous education programs, and ongoing monitoring and evaluation. Originality/Value: This research contributes to the field by exploring the interplay between social media, information exposure, and consumer knowledge in the context of sustainable dairy practices. The methodology combines convenience sampling and Likert-scale surveys to efficiently gather and analyze data, providing valuable insights for sustainable practices promotion.
A New Fuzzy Inference System Applied to Time Series Forecasting
Authors: Alves Kaike , Ballini Rosangela , Aguiar Eduardo
Published: February 2024

Fuzzy systems are a class of machine learning introduced by Zadeh that combine accuracy and interpretability. This class of models consists of two main parts, the antecedent and the consequent. While the antecedent is responsible for modeling the inputs, the consequent concerns modeling the output. The literature reports two main types of fuzzy systems: Mamadani and Takagi-Sugeno. While Mamdani uses fuzzy sets in the consequent part, Takagi-Sugeno uses polynomial functions. Consequently, Mamdani provides better understandable models and Takagi-Sugeno more accurate ones. In this paper, we propose a new Takagi-Sugeno model. Still, instead of defining the rules based on the input, the proposed model designs the rules based on the output variation to capture linearities in the output and clusters them in the same rule. The model is applied in the regression problems of benchmark series and real datasets of power transformers. The performance of the proposed model is compared with the performance of classical models and evolving Fuzzy Systems. The results are evaluated using error metrics, the number of final rules, and runtime.
Malware identification on Portable Executable files using Opcodes Sequence
Authors: Mello Alexandre , Lemos Vitor Gama , Barbosa Flávio , Simoni Emílio
Published: February 2024

Malicious software (malware) is a relevant cybersecurity threat, as it can damage target systems, hijack data or credentials, and allow remote code execution. In recent years, researchers and companies have focused on uncovering distinct methods for malware detection to avoid system infection. This paper assesses a method that employs opcode sequence analysis, Graph Theory, and Machine Learning to identify malware on Portable Execution files without the need for execution. An approach used by many researchers is to find patterns through the opcode sequences of a file and use some Artificial Intelligence based strategy to classify the file as malware or benign. In this work, we introduce the OSG (Opcode Sequence Graph), a concept for malware detection based on Opcode Sequence, Graph Theory, and Artificial Intelligence with two new methods: the OSGT (Opcode Sequence Graph Theory) detector and the OSGNN (Opcode Sequence Graph Neural Network). The OSGT extracts the opcode sequence linearly, creates a graph for each file section, calculates features from a combination of Pagerank and node degree of each section, and uses ensemble learning to classify the files. The OSGNN logically extracts the opcode sequence to construct a control flow graph, uses the longest available path to create a graph, and applies a graph neural network to classify the files. We also propose a novel dataset composed of 28,000 files that contain 14,000 updated malware and 14,000 trusted portable executable Windows files. The experimental results show that both methods outperform the baseline methods and provide up to 99% malware detection. The outcomes of this study shows that the OSGT is suitable for real-world application considering the processing time and malware detection capacity, and the OSGNN achieves state-of-art detection capacity for malware with an extra cost of computational cost.
Projeto de Filtro de Kalman Nebuloso Tipo-2 Intervalar Baseado em Máxima Verossimilhança para a Previsão de Séries Temporais Multivariáveis
Authors: Montel Ben-Hur , Serra Ginalber
Published: February 2024

Este artigo apresenta a proposta de uma metodologia para a filtragem de Kalman nebulosa tipo-2 intervalar baseada em criterio de máxima verossimilhança aplicada a previsão de series temporais multivariáveis. A metodologia adotada consiste em duas etapas: o treinamento offline e a atualização online do modelo. Durante o treinamento offline, a base de dados é pré-processada utilizando a análise espectral singular, reduzindo assim a influencia de ruído nos dados obtidos. Em seguida, a nova base de dados e classificada e particionada utilizando um algoritmo de agrupamento para estimação nebulosa tipo-2 intervalar baseada em criterio de máxima verossimilhança. Finalizando o treinamento, o algoritmo Eigensystem Realization Algorithm and Observer/Kalman Filter Identification (ERA/OKID) e aplicado para a identificação paramétrica dos filtros de Kalman para cada subconjunto estimado. Durante a atualização online do modelo, cada nova informação e processada pela versão recursiva da análise espectral singular e, então, estes dados são classificados dentro dos padrões obtidos pelo agrupamento de máxima verossimilhança. Por fim, o erro de estimação entre a previsão do modelo e a componente processada e utilizada para corrigir o modelo de forma refinada. Esta atualização refinada permite que, a cada nova informação, o algoritmo possa atualizar sua ordem. A metodologia proposta foi aplicada a previsão da serie temporal formada pela velocidade e posição relativa entre os satélites da formação PRISMA, e seus resultados foram comparados com outros trabalhos presentes na literatura. O desempenho da metodologia foi avaliada em termos de precisão, variação temporal da ordem e tempo necessário para sua atualização.
MNSGA-DO Aplicado a Problemas de Otimização Multiobjetivo com Complexos Espaços de Decisão e Objetivo
Authors: Machado Jussara , Pires Matheus , Bertoni Fabiana
Published: February 2024

Este artigo apresenta um estudo de duas recentes variantes do algoritmo NSGA-II, chamadas NSGA-DO e MNSGA-DO, aplicadas na resolução de problemas de otimização multiobjetivo com diferentes dificuldades no espaço de decisão e diferentes formas da fronteira de Pareto. Estas variantes propõem distintos operadores de seleção para a escolha de indivíduos que farão parte da nova população em cada geração, os quais são baseados na distância entre as soluções e pontos ideais que são calculados na Fronteira Pareto-Ótima dos problemas. Para avaliar a convergência e a diversidade desses algoritmos multiobjetivo, foi utilizado o conjunto de testes de referência WFG, e os resultados foram comparados considerando os indicadores de qualidade GD, IGD, Spread e HV. Tais resultados demonstram a superioridade do MNSGA-DO em relação aos demais algoritmos.
Forecasting of Wind Power Generation Cristalândia wind farm using Tree-Based Machine Learning Approaches
Authors: Fitipaldi Camila , Monteiro Rodrigo , Pinheiro Diego , Ferreira Waldemar , Fonseca Liliane , Ribeiro Andrea Maria
Published: February 2024

Wind power has gained increasing attention as a rapidly growing source of sustainable electricity generation. As variable renewable energy, however, its reliability, stability, and efficiency depend on factors such as wind speeds, air density, and turbine characteristics. As a result, an effective energy management strategy requires the accurate forecasting of wind power generation. Machine learning approaches have been applied to forecasting wind power generation, but their proper fine-tuning is still not fully understood. In this work, we trained using 5-fold cross-validation and fine-tuned using a GridSearch tree-based machine learning models, namely, Extreme Gradient Boosting (XGBoost) and Random Forest, for the forecasting of wind power generation. We evaluated XGBoost and Random Forest using data from the Cristalândia wind farm in BrumadoBA. The results suggest that tree-based models can accurately forecast wind power generation. Since they are relatively simple and easy to train when compared to machine learning models based on neural architectures, tree-based models are competitive approaches to forecast wind power generation.
Importância da Tecnologia Cloud Computing e Suas Contribuições no Gerenciamento de Dados em Microempresas
Authors: Santos Luana , Jesus Matheus , Silva Adriano
Published: February 2024

O presente artigo aborda a importância da tecnologia cloud computing no gerenciamento de dados em microempresas. Tem como objetivo analisar as ferramentas de implementação que a tecnologia Cloud fornece no gerenciamento de dados das microempresas. Este estudo visa expor a relevância administrativa e informações gerenciais para as microempresas, por meio da exploração dos benefícios da nuvem em relação ao gerenciamento de informações empresariais. Nesse sentido, a análise será realizada por meio de uma pesquisa bibliográfica, onde serão consultados livros, artigos e sites especializados em gerenciamento de dados. Assim, espera-se que esta investigação contribua para a compreensão da importância dessa tecnologia no gerenciamento dos processos em microempresas, além de demonstrar como a tecnologia pode contribuir para o aumento da eficiência das empresas. A partir dos resultados esperados, será possível concluir se a tecnologia é uma viável para o gerenciamento de dados em microempresas.
Analysis of land use/land cover changes and driving forces during the period 1992–2022: a case study of Jinan City, China
Authors: Tan Lingye , L. K. Robert Tiong , Zhang Ziyang
Published: February 2024

This research aims to quantify the spatial pattern of urban land use/land cover (LULC) change while considering environmental effects. This paper integrates historical Landsat imagery, The Environment for Visualizing Images (ENVI), geographical information system (GIS), and socioeconomic data to determine the spatial–temporal urban LULC dynamics and the conversion of LULC in response to the rapid urbanization from 1992 to 2022. Principle component analysis and multiple linear regression are used to determine and model the relationship between the socioeconomic factors and the changes for identifying the driving forces. The results indicate that impervious surfaces have exponentially increased, expanding more than two times from 2,348 to 4,795 km2, in contrast to bare lands, which drastically declined by 95%, from 1,888 to 87 km2. Water bodies have always been relatively fewer, at approximately 100 km2. In addition, the majority of farmland in Jinan City is concentrated in the northern region with a steady area in the range of 2,100–2,900 km2, while the majority of woodland located in the southern region declined from 3,774.52 km2 (37%) to 3,088.28 km2 (30%). Economic development, population growth, and climate change are the primary factors that have an obvious impact on LULC changes.
Sonhos de diamba controle do cotidiano: uma história da criminalização da maconha no Brasil
Authors: Fontes Barbosa Ivan
Published: February 2024

“Sonhos da diamba, controles do cotidiano: uma história da criminalização da maconha no Brasil Republicano” é um livro fruto da dissertação de mestrado defendida junto ao Programa de pós-graduação em História da Universidade Federal da Bahia (UFBA). É um trabalho que vem reforçar o conjunto de estudos elaborados sob a égide das orientações teóricas da história cultural e que reflete sobre as narrativas da interdição da maconha e o seu legado, ao permitir pensarmos os limites que têm sido encontrados para o desenvolvimento de uma política de descriminalização dos usos e usuários e a recepção do seu uso medicinal atualmente. O livro, composto de três capítulos, apresenta um recorte que almeja demonstrar como ocorreu a dinâmica da interdição dos usos e dos usuários de maconha na primeira metade do século XX no Brasil. Demonstra como as ações desenvolvidas pelo Estado Brasileiro e a imprensa baiana foram responsáveis por encetar o controle e criminalização dos usuários e usos dessa prática. Para tanto utiliza como substrato os discursos higienistas e sanitaristas, muito fortemente marcados pela presença de médicos, e oferece chaves de interpretação para a compreensão da complexa rede que atuou no processo de construção da criminalização da maconha na experiência nordestina.
Combating COVID-19 Crisis using Artificial Intelligence (AI) Based
Approach: Systematic Review
Authors: Singh Kavya , Kaur Navjeet , Prabhu Ashish
Published: February 2024

Background:

SARS-CoV-2, the unique coronavirus that causes COVID-19, has
wreaked damage around the globe, with victims displaying a wide range of difficulties that have
encouraged medical professionals to look for innovative technical solutions and therapeutic approaches.
Artificial intelligence-based methods have contributed a significant part in tackling complicated
issues, and some institutions have been quick to embrace and tailor these solutions in response
to the COVID-19 pandemic's obstacles. Here, in this review article, we have covered a few
DL techniques for COVID-19 detection and diagnosis, as well as ML techniques for COVID-19
identification, severity classification, vaccine and drug development, mortality rate prediction, contact
tracing, risk assessment, and public distancing. This review illustrates the overall impact of
AI/ML tools on tackling and managing the outbreak.

Purpose:

The focus of this research was to undertake a thorough evaluation of the literature on the
part of Artificial Intelligence (AI) as a complete and efficient solution in the battle against the
COVID-19 epidemic in the domains of detection and diagnostics of disease, mortality prediction
and vaccine as well as drug development.

Methods:

A comprehensive exploration of PubMed, Web of Science, and Science Direct was conducted
using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis)
regulations to find all possibly suitable papers conducted and made publicly available between December
1, 2019, and August 2023. COVID-19, along with AI-specific words, was used to create
the query syntax.

Results:

During the period covered by the search strategy, 961 articles were published and released
online. Out of these, a total of 135 papers were chosen for additional investigation. Mortality
rate prediction, early detection and diagnosis, vaccine as well as drug development, and lastly,
incorporation of AI for supervising and controlling the COVID-19 pandemic were the four main
topics focused entirely on AI applications used to tackle the COVID-19 crisis. Out of 135, 60 research
papers focused on the detection and diagnosis of the COVID-19 pandemic. Next, 19 of the
135 studies applied a machine-learning approach for mortality rate prediction. Another 22 research
publications emphasized the vaccine as well as drug development. Finally, the remaining
studies were concentrated on controlling the COVID-19 pandemic by applying AI AI-based approach
to it.

Conclusion:

We compiled papers from the available COVID-19 literature that used AI-based
methodologies to impart insights into various COVID-19 topics in this comprehensive study. Our
results suggest crucial characteristics, data types, and COVID-19 tools that can aid in medical and
translational research facilitation.
Sinergi Pengawasan Kemitraan Usaha Mikro Kecil Dan Menengah Sebagai Upaya Peningkatan Potensi Dalam Dunia Usaha Ekonomi Kreatif
Authors: Suwardiyati Rumi , Ganindha Ranitya
Published: February 2024

UMKM have demonstrated their various roles in supporting the national economy, but in carrying out their business activities they still experience various obstacles and obstacles, both internal and external. The research aims to produce appropriate concepts in supervision and what institutions are appropriate to optimize UMKM. This research uses socio-legal methods by conducting direct observations to collect data related to the concept of supervisory relationships between institutions that have partnership supervision authority, especially in Malang City. The results of this research are optimizing supervision of UMKN in two ways, namely empowerment through the City Cooperatives and Micro Enterprises Service and empowerment through the Malang City Trade Office. Provide education regarding the importance of understanding partnership agreements. All forms of partnership agreements must be made in writing, the positions of the parties must also be balanced in the partnership agreement. With the existence of these two institutions and education, it is hoped that they can monitor UMKM with the goal to be achieved so that large and small business actors can grow and develop together.
Problematika Keputusan Tata Usaha Negara Yang Bersifat Fiktif Positif Setelah Undang-Undang Nomor 11 Tahun 2020
Authors: Abrianto Bagus Oktafian , Nugraha Xavier , Hartono Julienna , Kosuma Indah Permatasari
Published: February 2024

This doctrinal research aims to analyze the development of legal consequences and legal protection related to the Government's omission on applications to state administrative officials. Until the enactment of the Job Creation Act, there were 3 (three) different legal norms regarding the legal consequences of the Government's omission on applications to state administrative officials, namely fictitious rejection, in the State Administrative Court Law, fictitious approval followed up with applications, in the Government Administration Act, and fictitious approval without being followed up with an application, in the Job Creation Act. Based on the principle that the new law overrides the old law, the applicable legal consequences are as regulated in the Job Creation Act. Then, legal protection related to the Government's omission on applications to state administrative officials are the imposition of administrative sanctions, submitting applications for the determination of fictitious approval of state administrative decisions to the Administrative Court, filing claims based on government actions disputes, or submitting reports to the Ombudsman.
De verkiezing van Gustaaf Borginon tot volksvertegenwoordiger in 1912 in het arrondissement Brussel-Halle-Vilvoorde: een overwinning van de flaminganten
Authors: Vandeweyer Luc
Published: February 2024

Geschiedschrijving heeft bronnen nodig. Als die ontbreken is het vaak moeilijk om de precieze rol en verwezenlijkingen van boegbeelden te reconstrueren en naar waarde te schatten. Van de vooraanstaande arts en katholieke politicus Gustaaf Borginon is geen persoonlijk archief overgeleverd en hij komt amper voor in de nalatenschap van anderen. Maar zelfs met fragmentarische gegevens is het mogelijk om via hem meer inzicht te verwerven in de Vlaamse beweging. Daarbij viel een culminatiepunt tijdens de heftige verkiezingsstrijd van 1912. Die biedt meer inzicht in de rol van de flaminganten en van hun vijanden binnnen de toenmalige katholieke partijorganisatie, meer bepaald in het arrondissement Brussel. Hij won de zetel dankzij zijn naamstemmen en maakte zijn reputatie nadien waar in de Kamer van Volksvertegenwoordigers waar hij behoorde tot de groep vertrouwelingen rond Frans Van Cauwelaert. De Duitse invasie plaatste hem op non-actief en daarna was zijn gevorderde leeftijd een obstakel.

Gustaaf Borginon's election as representative in the district Brussels-Halle-Vilvoorde in 1912: a victory for the flamingants?

Historiography needs sources. In the absence of such sources, it is often difficult to reconstruct and value the precise role and achievements of figureheads. There are no personal records of the eminent doctor and Catholic politician Gustaaf Borginon, and he is hardly mentioned in the estates of others. But even with fragmentary data, it is possible to gain more insight into the Flemish movement through him. A culminating point was reached during the fierce election campaign of 1912. This provides more insight into the role of the Flemish people and their enemies within the Catholic party organisation of the time, more specifically in the district of Brussels. He won the seat thanks to his nominal votes and afterwards he lived up to his reputation in the Chamber of Representatives, where he belonged to the group of confidants around Frans Van Cauwelaert. The German invasion put him on suspension and after the war his advanced age was an obstacle.