bluuebunny/crossref_metadata_2025 huggingface dataset:
THE EFFECT OF HEAVY METAL IONS ON THE PEROXIDASE ACTIVITY IN ARABIDOPSIS THALIANA
Authors: Buzduga I. , Volkova A. , Panchuk I.
Published: March 2024

The biosphere pollution with the heavy metals (HM) has increased significantly in recent decades due to human activity. Plants can accumulate and concentrate HM, which negatively affects their growth, productivity and quality of agricultural products. Some HM, such as copper, belong to the group of biogenic elements that, in low concentrations, are essential for the normal functioning of plant organisms. Other HM such as cadmium are toxic even in low concentrations. The toxicity of HM is related to oxidative damage. In the plant cell, the antioxidant system provides protection against this kind of stress. However, data on changes in antioxidant enzyme activities in the early stage of the cellular response to HM-induced stress remain scarce. Therefore, we focused our research on studying peroxidase (POD) activity changes in Arabidopsis thaliana under conditions of rapid uptake of copper and cadmium ions into leaf tissue. For the experiments, 4.5–5-week-old A. thaliana plants were used. The plants were incubated on 0.5x MS liquid medium containing copper or cadmium chloride at concentrations of 0.1, 0.5 and 5 mM. The HM salt treatment was carried out in the dark at 20 °C for 2 (short-term stress) and 12 (long-term stress) hours. After that, the leaves were frozen and the POD activity was measured. Evaluation of the effects of Cd2+ and Cu2+ ions shows that these HM cause a decrease in POD activity after 2 hours and its increase after 12 hours of treatment. Therefore, modulation of POD activity is a component of the HM stress response in A. thaliana. Analysis of the available data revealed that the enzymes POD and CAT, which eliminate hydrogen peroxide, can partially replace each other and thus provide cellular protection in different phases of the stress response.
TOTAL HEMOCYTE CONTENT AND HEMOCYTE COMPOSITION OF HEMOLYMPH OF AUTUMN AND SPRING GENERATION APIS MELLIFERA L.
Authors: Savchuk G. , Fedoryak M.
Published: March 2024

In many countries of the world, massive honey bee colony losses have been observed in recent decades. In temperate latitudes, Apis mellifera L. mortality increases during or after wintering. Wintering bees are bees of the autumn generation, which live the longest - up to 8 months. They have to raise the spring generation of bees. During wintering stress can arise in bees, which depends on many abiotic (low temperatures, quality of food) and biotic (parasites and pathogens) factors. At the same time, resistance to pathogens is determined by the state of immunity.Honey bees have innate immunity, which is provided by cellular and humoral mechanisms. Hemocytes participate in both cellular and humoral links of immunity. The aim of our study was to evaluate the quantitative and qualitative cellular composition of the hemolymph of adults of Apis mellifera L. of the autumn and spring generations. The experiment was conducted during the autumn-winter-spring period, on workers of honey bees of the autumn and spring generations, without signs of infectious diseases. Wintering took place in a room with a constant temperature in the range from 0 to +5 °С. The age of bees of the autumn generation was 20–25, 35–40, 50–55, 195–200, 205–210, 215–220, 235–240 days, and of the spring generation – 20–25. Hemolymph was collected from bees, the individual number of hemocytes in 1 μl of hemolymph was counted, swabs were made to calculate the hemocytic formula. Prohemocytes, plasmatocytes, granulocytes, permeable cells were identified on smears of the hemolymph of experimental bees (they were found in small numbers and not in all bees). The number of hemocytes in 1 μl of hemolymph of bees of the autumn generation of most age categories varies significantly and is in the range from 5×103 to 60×103 cells. In individuals aged 195–200, 215–220 days and bees of the spring generation, the number of hemocytes in 1 μl of hemolymph is within 5–15×103, the average values are 9303,8; 6986,1 and 9836,6 cells, respectively. Individual indicators of the total number of hemocytes of the studied bees are quite variable. In individuals of the autumn generation, with increasing age, the content of hemocytes undergoes wave-like fluctuations. Unidirectional changes in the direction of an increase or decrease in the content of cells in the hemolymph of experimental bees were not detected. In the hemograms of A. mellifera, both autumn and spring generations, oval plasmatocytes predominated. In the hemolymph of bees of the autumn generation, starting from the age of 205–210 days, the content of granulocytes with phagocytic activity increases, compared to younger individuals of the autumn generation and bees of the spring generation. This may be caused by an active aging process combined with contact with pathogens in nature, because individuals of this age began to fly out of the hive to collect pollen and nectar. Bees of the spring generation have the highest prohemocyte content, which indicates active hematopoiesis.
Auswirkungen eines kombinierten meteorologischen Extremereignisses auf den Schutzwald
Authors: Neukom Raphael , Huggel Christian , Muccione Veruska , Plozza Luca , Salzmann Nadine
Published: March 2024

Risiken für die Gesellschaft, die aufgrund einer Kombination von meteorologischen Extremereignissen ausgelöst und durch Prozesskaskaden verstärkt werden, sind schwierig zu analysieren und noch kaum erforscht, insbesondere auch im Kontext von Klimaanpassung. In diesem Beitrag stellen wir die Ergebnisse einer Fallstudie vor, deren Ziel es war, Wissenslücken und «blinde Flecken» in Bezug auf kombinierte Klimarisiken zu schliessen. In einer semiquantitativen Analyse wurde als Ausgangslage die Kumulation von zwei aufeinanderfolgenden sehr trockenen und warmen Jahreszeiten angenommen und die möglichen Auswirkungen auf den Schutzwald im Misox (GR) untersucht. In einer umfangreichen Befragung schätzten 29 Fachpersonen aus Praxis, Forschung und Verwaltung die Wahrscheinlichkeit für einen Verlust der Schutzfunktion in verschiedenen Gefährdungsszenarien ein. Die Ergebnisse zeigen, dass einzelne Gefahren, die durch das Extremereignis ausgelöst werden können (z.B. Trockenheit, Borkenkäferbefall, Sturm), die Schutzfunktion des Waldes wahrscheinlich nicht beeinträchtigen. In Szenarien, in denen Gefahren kombiniert auftreten, erwarten die meisten Fachpersonen zumindest einen teilweisen Verlust der Schutzfunktion. Sie favorisieren Massnahmen, welche die Waldstruktur durch Verbesserung der Verjüngung stärken, insbesondere eine Reduktion des Wildbestandes. Um die Widerstandsfähigkeit der alpinen Schutzwälder gegenüber dem Klimawandel zu gewährleisten, ist es von entscheidender Bedeutung, dass Anpassungsplanung und Präventionsmassnahmen das Risiko kombinierter Extremereignisse und der damit verbundenen Gefahren berücksichtigen, welche die Wälder durch kumulative und kaskadenartige Effekte bedrohen können.
Ground state of the Gross–Pitaevskii equation with a harmonic potential in the energy-critical case
Authors: Pelinovsky Dmitry E. , Sobieszek Szymon
Published: March 2024

Ground state of the energy-critical Gross–Pitaevskii equation with a harmonic potential can be constructed variationally. It exists in a finite interval of the eigenvalue parameter. The supremum norm of the ground state vanishes at one end of this interval and diverges to infinity at the other end. We explore the shooting method in the limit of large norm to prove that the ground state is pointwise close to the Aubin–Talenti solution of the energy-critical wave equation in near field and to the confluent hypergeometric function in far field. The shooting method gives the precise dependence of the eigenvalue parameter versus the supremum norm.
Contrast-enhanced ultrasound evaluation of plaque vulnerability and the relationship between peripheral blood leukocytes
Authors: Qiao Qi , Wang Bingshuang , Xu Minzhe , Qi Zhengqin
Published: March 2024

OBJECTIVE: To evaluate plaque vulnerability by carotid contrast-enhanced ultrasound (CEUS) and to analyze the correlation between plaque vulnerability and peripheral blood leukocyte classification. MATERIALS AND METHODS: 135 patients with carotid plaque were examined by contrast-enhanced ultrasound. Plaque vulnerability was assessed by semiquantitative visual classification. Baseline clinical data and peripheral leukocyte classification were collected. Ordered logistic regression was used to analyze the correlation between plaque neovascularization grade and peripheral leukocyte classification count. RESULTS: There were significant differences in leukocyte, monocyte, neutrophil, mean platelet volume, lymphocyte, and neutrophil counts between different neovascular plaque grades and peripheral blood (P < 0.05). Correlation analysis showed that leukocyte, monocyte, and neutrophil counts were significantly positively correlated. CONCLUSION: The increase in plaque neovascularization is associated with an increase in circulating leukocytes, monocytes, and neutrophils. Therefore, CEUS combined with peripheral blood leukocytes may serve as an early warning of plaque vulnerability and provide a theoretical basis for clinical treatment.
Computing the index of non-isometric k-ary words with Hamming and Lee distance
Authors: Anselmo Marcella , Flores Manuela , Madonia Maria
Published: March 2024

Isometric words are those words whose occurrence as a factor in a transformation of a word u in a word v can be avoided, while preserving the minimal length of the transformation. Such minimal length refers to a distance between u and v. In the literature, isometric words have been considered with respect to the Hamming distance and the Lee distance; the former especially for binary words, while the latter for k-ary words, with k ⩾ 2. Ham- and Lee- isometric words have been characterized in terms of their overlaps with errors. In this paper, we give algorithms to decide whether a word f, of length n, is Ham- or Lee-isometric and provide evidence of the possible non-isometricity by returning a pair of words of minimal length whose transformation cannot avoid the factor f. Such a pair of words is called a pair of witnesses and the minimal length of the witnesses is called the index of f. The algorithms run in O ( n ) time with a preprocessing of O ( n ) time and space to construct a data structure that allows answering LCA queries on the suffix tree of f in constant time. The correctness of the algorithms lies on some theoretical results on the index and the witnesses of a word that are here presented. The investigation on the index is completed by the characterization of words with minimum/maximum index. All the results are shown referring to both Hamming and Lee distance.
Social Activity and Cognitive Decline in Older Residents of Long-Term Care Facilities: A Cohort Study
Authors: Angevaare Milou J. , Pieters Jack A. , Twisk Jos W.R. , van Hout Hein P.J.
Published: March 2024

Background: Cognitive decline is a major reason for dependence and resource use in long-term care. Objective: We explored whether social activities may prevent cognitive decline of older residents of long-term care facilities. Methods: In a routine care cohort, 3,603 residents of long-term care facilities were assessed on average 4.4 times using the interRAI-Long-Term-Care-Facilities instrument which includes frequency of participation in social activities of long standing interest over the last 30 days and the Cognitive Performance Scale. Linear mixed models repeated measures analyses were performed corrected for age, sex, physical activity, Activities of Daily Living, mood, and health indicators. Results: Social activity was associated with cognitive preservation over time. This association was stronger in those with no or mild cognitive impairment at baseline, relative to those with moderate to severe impairment. Participation in specific social activities such as conversing and helping others showed a similar positive association. The relation between social activity and cognitive impairment appeared to be bi-directional. Conclusions: The protective effects of social activity offer a window of opportunity to preserve cognitive functioning in long-term care residents.
Cognitive Effect of Transcranial Direct Current Stimulation on Left Dorsolateral Prefrontal Cortex in Mild Alzheimer’s Disease: A Randomized, Double-Blind, Cross-Over Small-Scale Exploratory Study
Authors: Wang Carol Sheei-Meei , Chen Po See , Tsai Tsung-Yu , Hou Nien-Tsen , Tang Chia-Hung , Chen Pai-Lien , Huang Ying-Che , Cheng Kuo-Sheng
Published: March 2024

Background: Transcranial direct current stimulation (tDCS) is considered a potential therapeutic instrument for Alzheimer’s disease (AD) because it affects long-term synaptic plasticity through the processes of long-term potentiation and long-term depression, thereby improving cognitive ability. Nevertheless, the efficacy of tDCS in treating AD is still debated. Dorsal lateral prefrontal cortex is the main role in executive functions. Objective: We investigate the cognitive effects of tDCS on AD patients. Methods: Thirty mild AD patients aged 66–86 years (mean = 75.6) were included in a double-blind, randomized, sham-controlled crossover study. They were randomly assigned to receive 10 consecutive daily sessions of active tDCS (2 mA for 30 min) or a sham intervention and switched conditions 3 months later. The anodal and cathodal electrodes were placed on the left dorsal lateral prefrontal cortex and the right supraorbital area, respectively. Subjects underwent various neuropsychological assessments before and after the interventions. Results: The results showed that tDCS significantly improved Cognitive Abilities Screening Instrument scores, especially on the items of “concentration and calculation”, “orientation”, “language ability”, and “categorical verbal fluency”. Mini-Mental State Examination and Wisconsin Card Sorting Test scores in all domains of “concept formation”, “abstract thinking”, “cognitive flexibility”, and “accuracy” also improved significantly after tDCS. For the sham condition, no difference was found between the baseline scores and the after-intervention scores on any of the neuropsychological tests. Conclusion: >: Using tDCS improves the cognition of AD patients. Further large size clinical trials are necessary to validate the data.
Powerlifting total score prediction based on an improved random forest regression algorithm
Authors: Chau Vinh Huy , Vo Anh Thu , Ngo Huu Phuc
Published: March 2024

This paper discusses the use of an improved random forest regression algorithm (RFRA) to predict the total score of powerlifters. The paper collected the age, weight, and total score of multiple powerlifters, and then used an improved RFRA to build a predictive model. The parameters of this model are optimized by a differential squirrel search algorithm. The experimental results show that our proposed method can effectively predict the total score of powerlifters with an error of less than 10%, which can provide a reference for experts and athletes before training or competition.
An efficient Quasi-Affine Transformation Evolutionary algorithm with fixed dimension updating and its application in UAV 3D path planning
Authors: Sung Tien-Wen , Zhao Baohua , Zhang Xin , Lee Chao-Yang , Fang Qingjun
Published: March 2024

Quasi-Affine Transformation Evolutionary (QUATRE) algorithm is a kind of swarm-based collaborative optimization algorithm that solves the problem of a position deviation in a DE search by using the co-evolution matrix M instead of the cross-control parameter CR in the differential evolution algorithm (DE). However, QUATRE shares some of the same weaknesses as DE, such as premature convergence and search stagnation. Inspired by the artificial bee colony algorithm (ABC), we propose a new QUATRE algorithm to improve these problems that ranks all the individuals and evolves only the poorer half of the population. In an evolving population, individuals of different levels intersect with dimensions of different sizes to improve search efficiency and accuracy. In addition, we establish a better selection framework for the parent generation individuals and select more excellent parent individuals to complete the evolution for the individuals trapped in search stagnation. To verify the performance of the new QUATRE algorithm, we divide the comparison algorithm into three groups, including ABC variant group, DE variant group, and QUATRE variant group, and the CEC2014 test suite is used for the comparison. The experimental results show the new QUATRE algorithm performance is competitive. We also successfully apply the new QUATRE algorithm on the 3D path planning of UAV, and compared with the other famous algorithm performance it is still outstanding, which verifies the algorithm’s practicability.
Few-shot time series forecasting in a meta-learning framework
Authors: Ma Ping , Ni Zhengwei
Published: March 2024

Time series forecasting has a wide range of applications in various fields. To eliminate the need for time series data volume, a meta-learning-based few-shot time series forecasting method is proposed. This method uses a residual stack module as its backbone and connects the residuals forward and backward through a multilayer fully connected network so that the model and the meta-learning framework can be seamlessly combined. The Empirical knowledge of different time-sequence tasks is obtained through meta-training. To enable fast adaptation to new prediction tasks, a small meta-network is introduced to adaptively and dynamically generate the learning rate and weight decay coefficient of each step in the network. This method can use sequences of different data distribution characteristics for cross-task learning, and each training task only needs a small number of time series to achieve sequence prediction for the target task. The results show that compared with the two baselines, the proposed method has improved performance on 67.07% and 58.53% of the evaluated tasks. Thus, this method can effectively alleviate the problems caused by insufficient data during training and has broad application prospects in the field of time series.
Public opinion bunching storage model for dense graph data in social networks1
Authors: Cui Wanqiu
Published: March 2024

Graph data storage has a promising prospect due to the surge of graph-structure data. Especially in social networks, it is widely used because hot public opinions trigger some network structures consisting of massively associated entities. However, the current storage model suffers from slow processing speed in this dense association graph data. Thus, we propose a new storage model for dense graph data in social networks to improve data processing efficiency. First, we identify the public opinion network formed by hot topics or events. Second, we design the germ elements and public opinion bunching mapping relationship based on equivalence partition. Finally, the Public Opinion Bunching Storage(POBS) model is constructed to implement dense graph data storage effectively. Extensive experiments on Twitter datasets demonstrate that the proposed POBS performs favorably against the state-of-the-art graph data models for storage and processing.
RETRACTED: An improved IPA approach driven by big data and its application to customer satisfaction research of energy-saving appliance
Authors: Geng Xiuli , Du Yuanhao , Cao Shuyuan , Cheng Sheng
Published: March 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
RETRACTED: Hyper ensembled extreme gradient boosting techniques via novel triple algorithms to appraise the hardened properties of modern ternary admixed concrete
Authors: Shen Haiyang
Published: March 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Chaotic fuzzy iterated function systems
Authors: Selvy R. , Vinod Kumar P.B.
Published: March 2024

It is observed that IFSs are defined based on the concept that the iterates take only an integer number of times. This work studies the dynamics of functions, where a function can iterate r times for every r ∈ R. Utilizing concepts from fuzzy sets, r-times iterates of a function are defined for r ∈ R. The study demonstrates that the chaotic property can be generalized to this new iterative concept. The chaotic behavior of a function is then extended using this iterative concept.
Optimized multiscale deep bidirectional gated recurrent neural network fostered practical teaching of university music course
Authors: Hu Yuanyuan
Published: March 2024

Music education has a rich historical background. Nevertheless, the introduction of modern teaching methods is relatively delayed. In recent years, there has been a remarkable acceleration in the advancement of music education. A promising tool that has emerged to revolutionize education as a whole is Virtual Reality (VR) technology, which offers immersive and interactive experiences across various disciplines. At the university level, integrating VR technology into music education opens up exciting opportunities to enhance practical teaching methods and provide students with enriched musical experiences. Virtual Reality together with Internet of Things (IoT) demonstrates its capabilities in various tasks, but its widespread availability in online learning remainders a pressing challenge that needs to be addressed. In pre-processing, it removes noise data using Dynamic Context-Sensitive Filtering (DCSF). VR technology creates an unparalleled learning environment, it transporting students to virtual concert halls, recording studios, or historical music venues. Hence the Multiscale deep bidirectional gated recurrent neural Network (MDBGNN) improves the practical teaching of music course concept, like Music theory, harmony, and rhythm can be visualized and experienced in VR. Finally, Dung Beetle Optimization Algorithm (DBOA) is employed to optimize the weight parameters of MDBGNN. The proposed MDBGNN-DBO-UMC-VRT is implemented in Python. The proposed method is analysed with the help of performance metrics, like precision, accuracy, F1-score, Recall (Sensitivity), Specificity, Error rate, Computation time and RoC. The proposed MDBGNN-DBO-UMC-VRT method attains 13.11%, 18.12% and 18.73% high specificity, 11.13%, 11.04% and 19.51% lower computation Time, 15.29%, 15.365% and 14.551% higher ROC and 13.65%, 15.98%, and 17.15% higher Accuracy compared with existing methods, such as Enhancing Vocal Music Teaching through the Fusion of Artificial Intelligence Algorithms and VR Technology (CNN-UMC-VRT), Exploring the Efficacy of VR Technology in Augmenting Music Art Teaching (BPNN-UMC-VRT) and Implementing an Interactive Music-Assisted Teaching System Using VR Technology (DNN-UMC-VRT) respectively.
A fuzzy transformation approach to enhance active learning for heart disease prediction
Authors: de Oliveira Heveraldo R. , Vieira Antônio Wilson , Santos Laércio Ives , Filho Murilo César Osório Camargos , Ekel Petr Ya. , D’Angelo Marcos Flávio S.V.
Published: March 2024

When providing patient care, healthcare professionals often rely on interpreting laboratory and clinical test results. However, their analysis is constrained by human capacity, leading to uncertainties in diagnoses. Machine learning has the potential to evaluate a larger amount of data and identify patterns and relationships that may otherwise go unnoticed. However, popular machine learning algorithms typically require abundant and labeled data, which is not always available. To address this challenge, the adoption of active learning allows for the selection of the most relevant instances for training, reducing the need for extensive labeling. Additionally, fuzzy logic offers the ability to handle uncertainties. This paper proposes a novel approach that utilizes fuzzy membership functions to transform data as a pre-processing step for active learning. The objective is to approximate similar instances, specifically for the purpose of prediction, thereby minimizing the workload of human experts in labeling data for model training. The results of this study demonstrate the effectiveness of this approach in predicting heart disease and highlight the potential of using membership functions to enhance machine learning models in the analysis of medical information. By incorporating fuzzy logic and active learning, healthcare professionals can benefit from improved accuracy and efficiency in diagnosing and predicting pacients’ health conditions.
Bearing fault detection technology for automated machinery based on acoustic analysis
Authors: Pang Yufeng , Li Xiaojuan
Published: March 2024

Traditional fault detection methods in acoustic signal feature extraction of rolling bearings often make the signal denoising process complex due to low signal-to-noise ratio and weak fault features, making this method difficult to meet real-time requirements. Therefore, a fault detection model based on Fast-Renoriented SIFT feature extraction is proposed, which can quickly extract a large number of features from the original signal without the need for noise reduction processing and can effectively improve the efficiency and accuracy of fault detection. At the same time, to adapt to the fault detection of rolling bearings under multiple working conditions, this study also proposes an adaptive extended word bag model that combines local kurtosis and local 2-dimensional information entropy features, improving the adaptability and flexibility of the new model. It obtained a 100% overall recognition rate and a fault detection time of no more than 0.5 seconds in a 5-fold cross-validation experiment, verifying the excellent recognition accuracy, stability, and operational efficiency of the detection model. Its recognition accuracy in the multi-working condition rolling bearing fault detection experiment was above 97%, which was improved by about 21.25% compared to the traditional word bag model and had significant advantages in fault recognition accuracy and computational efficiency.
RETRACTED: Efficient data management in Internet of Things: A survey of data aggregation techniques
Authors: Kang Xiaoqiang
Published: March 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Sliding mode control for nonlinear semi-Markov jump systems with cyber attacks via fuzzy logic
Authors: Yu Peng , Jing Fengwei , Guo Jin
Published: March 2024

This paper studies the security control problem of semi-Markov jump systems. First, the parameter uncertainty, the time-varying delay, the nonlinear function and the cyber attack are considered in the system. Second, the nonlinear function is linearized by the fuzzy logic rule. A sliding mode surface is designed to obtain an equivalent controller and get a sliding mode dynamic system. By constructing Lyapunov functions of the mode dependence, a sufficient condition for H∞ asymptotic stability of the system is obtained. Then, an adaptive sliding mode controller is established, and the original system reaches the sliding mode surface in a finite time. Finally, two examples verify the correctness and practicality of the proposed theory.
Performance analysis in top handball matches in the seasons before, during, and after the COVID-19 pandemic
Authors: Krawczyk Paweł , Szczerba Mateusz , Labiński Jan , Smoliński Maksymilian
Published: March 2024

The aim of the study was to determine whether there are differences in performance analysis in handball between Pre-COVID-19, during COVID-19, and Post-COVID-19 seasons. The study material was obtained from the official match statistics of PGNiG Super league Ltd. Matches were played in the 2019/2020 season before COVID-19, 2020/2021 during COVID-19, and 2021/2022 Post-COVID-19. The Mann-Whitney U test was used for comparisons between two groups, for three groups using the Kruskal-Wallis test. In Pre-COVID-19 season, players made an average of 1.3 more 9 meter throws the Post-COVID-19. Post-COVID-19 season is characterized by a higher 6 meter goals and 6 meter throw count with respect to the Pre-COVID-19. The results show a higher goalkeeper 7 meter throw effectiveness in Pre-COVID-19 season than in COVID-19. The increasing number of throws and goals from the 6th meter along with a decrease in the number of throws from the 9th meter indicates the latest trends in handball. A reduction in the number of offensive fouls and an increase in the number of fast attacks and the effectiveness of goalkeepers’ interventions from 7 meters in the second round of the COVID-19 season indicates the adaptation of players to the new conditions created by the pandemic.
Unraveling the factors influencing engagement in vocational rehabilitation services among transition-age Hispanic youth: An exploratory study
Authors: Castruita-Rios Yazmin , Estala-Gutiérrez Veronica
Published: March 2024

BACKGROUND: Prior research has investigated the engagement process of vocational rehabilitation (VR) consumers yet limited understanding about transition-age Hispanic youth VR consumers remains. OBJECTIVE: This exploratory cross-sectional study evaluated the factors predicting VR engagement among transition-age Hispanic youth with disabilities who have received pre-employment transition services (pre-ETS). METHOD: Descriptive, bivariate correlation, and stepwise logistic regression analyses were conducted in this study. A total of four categories of independent variables (sociodemographic, contextual, theoretical, and pre-ETS related) were selected to investigate their relationship with VR engagement. RESULTS: Findings revealed that education level, living with family, perceived social support from friends, perceived stigma from others, VR counselors’ ability to speak Spanish, competence, vocational outcome expectancy, and number of pre-ETS received were among the significant predictors of VR engagement, with the final model explaining a total of 87.6% of the variance. CONCLUSION: Findings of this study can help inform practices and policies to bridge the gap surrounding the service delivery and utilization of VR services among transition-age Hispanic youth with disabilities.
Exploring transformer fault detection using RFID technology
Authors: Li Xiaomeng
Published: March 2024

Real-time monitoring and fault diagnosis of transformers are essential for the stable power system operation. This paper presents an RFID-based transformer fault feature extraction and classification algorithm. Experiments show that monitored current signals are stable while the temperature peak is 356°C. Hilbert decomposition reveals regular current and voltage patterns that can be used as fault indicators. Signal strength classification accuracy reached 80% . At rated load, the transformer temperature soared to 186°C, indicating overheating issues. The monitoring during a sample day showed that overload events were concentrated from 16:00-20:00, which required attention. The approach helps accurately identify transformer fault types from real-time RFID data for proactive maintenance. Compared to reactive repairs after failures, this not only improves employee productivity but also reduces costs. Based on customized RFID deployment, the algorithm contributes to the stability and economy of power infrastructure.
Pharmaceutical Decision Support System Using Machine Learning to Analyze and Limit Drug-Related Problems in Hospitals
Authors: Ben Othman Sarah , Decaudin Bertrand , Odou Pascal , Rousselière Chloé , Cousein Etienne , Hammadi Slim
Published: March 2024

The health product circuit corresponds to the chain of steps that a medicine goes through in hospital, from prescription to administration. The safety and regulation of all the stages of this circuit are major issues to ensure the safety and protect the well-being of hospitalized patients. In this paper we present an automatic system for analyzing prescriptions using Artificial Intelligence (AI) and Machine Learning (ML), with the aim of ensuring patient safety by limiting the risk of prescription errors or drug iatrogeny. Our study is made in collaboration with Lille University Hospital (LUH). We exploited the MIMIC-III (Medical Information Mart for Intensive Care) a large, single-center database containing information corresponding to patients admitted to critical care units at a large tertiary care hospital.
TermIt: Managing normative thesauri
Authors: Křemen Petr , Med Michal , Blaško Miroslav , Saeeda Lama , Ledvinka Martin , Buzek Alan
Published: March 2024

Thesauri are popular, as they represent a manageable compromise – they are well-understood by domain experts, yet formal enough to boost use cases like semantic search. Still, as the thesauri size and complexity grow in a domain, proper tracking of the concept references to their definitions in normative documents, interlinking concepts defined in different documents, and keeping all the concepts semantically consistent and ready for subsequent conceptual modeling, is difficult and requires adequate tool support. We present TermIt, a web-based thesauri manager aimed at supporting the creation of thesauri based on decrees, directives, standards, and other normative documents. In addition to common editing capabilities, TermIt offers term extraction from documents, including a web document annotation browser plug-in, tracking term definitions in documents, term quality and ontological correctness checking, community discussions over term meanings, and seamless interlinking of concepts across different thesauri. We also show that TermIt features better fit the E-government scenarios in the Czech Republic than other tools. Additionally, we present the feasibility of TermIt for these scenarios by preliminary user experience evaluation.
Experiences of students on virtual education in Iranian medical science universities during the COVID-19 pandemic: A qualitative study
Authors: Salmani Roghayeh , Rezakhani moghaddam Hamed , Mousazadeh Yalda
Published: March 2024

BACKGROUND: Due to the changing environment and responding to the needs of the society, change in the traditional education system is inevitable. Also, the occurrence of events such as the COVID-19 pandemic showed that the existence of a virtual education system to prevent the cessation of education is the need of today’s society. OBJECTIVE: This study aimed to investigate the students’ experiences of virtual education in Iranian universities of medical sciences during the COVID-19 pandemic. METHODS: This qualitative study was conducted on 28 students studying in Iranian universities of medical sciences from October 2021 to January 2022 to investigate their experiences of virtual education during the COVID-19 pandemic. The participants were selected by purposive sampling. An interpretive phenomenological approach and semi-structured, face-to-face, in-depth interview were used to collect the data. The data were analyzed by Colizzi’s seven-step method. RESULTS: Students’ experiences of virtual education during the COVID-19 pandemic were categorized into three themes and seven sub-themes, including the strengths of virtual education (sub-themes: individual and educational dimensions), the weaknesses of virtual education (sub-themes: infrastructural, educational, tests and assignments fields), and suggestions to improve virtual education (sub-themes: infrastructural development and educational planning). CONCLUSION: According to the study results, the virtual education during the COVID-19 pandemic led to students staying away from the crowded centers. However, some weaknesses were also mentioned by the participants. Therefore, by anticipating requirements and needs, planning and policy making, and seriously reviewing human, financial, and support resources, virtual education can be developed and used as a supplement to face-to-face education in the future.
Financial Autonomy: Panacea for Improved Service Delivery in Imo State Local Government System
Authors: Ojiakor Ngozi , Obiakor Nwachukwu , Mara Kingsley Ndubuisi
Published: March 2024

Local governments in Nigeria have been criticized for their low performance despite the huge revenue being injected into the system. This study offers an explanation for the remote causes of the failure of the local government system in Nigeria, using selected local governments across the three senatorial districts in Imo State as a frame of reference. The study argues that lack of financial autonomy, systemic corruption, and inadequate funding are the major hindrances crippling efforts to improve service delivery for the benefit of those residing in the localities. It further argues that while the internal sources of revenue available to local governments are not sufficient to provide essential services to rural dwellers, the relatively meaningful external sources are controlled by higher tiers (state and federal) of government in Nigeria. It uses mixed methods to generate and analyze data, and sources of data include available literature, responses from interviewees, and personal experience as a one-time active player in the local government system in Imo State. The examination of available literature and data analysis discovers that there is a lacuna in the 1999 Constitution of the Federal Republic of Nigeria, which the higher tiers cash in on to manipulate the crucial third-tier governments. It is, therefore, the conclusion of this study that improvement in service delivery can be tremendously achieved when the third tier enjoys financial autonomy commensurate with the services it renders to the local communities.
Treatment Outcome and Determinant Factors of Tuberculosis among Patients Treated at Bule Hora University Teaching Hospital, West Guji zone, southern Ethiopia
Authors: Aliyo Ali Alqeer , Tuke Gemechis
Published: March 2024

BACKGROUND: Tuberculosis (TB) is an infectious disease transmitted as an airborne disease. TB is still treatable even though it produces bacteria that are difficult to eradicate.. Early diagnosis and appropriate treatment are two clinical strategies recommended to prevent TB from spreading.

OBJECTIVE: To determine trends in tuberculosis treatment outcomes and determinant factors among patients treated at Bule Hora University Teaching Hospital from January 2020 to December 2022.

METHOD: An institutional-based retrospective cohort study was conducted at Bule Hora University Teaching Hospital to determine the treatment outcome among all patients treated for tuberculosis. The TB treatment register found at the TB clinic was reviewed to collect three-year treatment data on TB patients. The collected data consisted of demographic and clinical data comprising treatment outcomes. The data were entered and analyzed using the Statistical Package for Social Sciences (SPSS) version 20. Bivariate and multivariate logistic regression models were used for determinant analysis. The declaration of statistical significance was a P value less than 0.05.

RESULT: The overall treatment success rate was 94.3% CI; 95% [90.9-97.8] of this half of the TB patients had cured their treatment, and 44.3% patients completed treatment. Of the unsuccessful treatment outcomes, 1.1% were failed treatment, 1.7% were lost to follow-up, and 2.9% died during the follow-up. Urban dwellers (AOR: 1.73; 95% CI: 1.02-2.68; P = 0.041) and HIV-negative individuals (AOR: 1.51; 95% CI: 0.95-4.90; P = 0.002) were determinants of successful TB treatment outcomes. The trend in the treatment success rate fluctuated, increasing from 2020 to 2021 and then slightly decreasing in 2022, while the death rate decreased from 2020 to 2022.

CONCLUSION: The current treatment success rate exceeds the recommended target. However, special attention and strict follow-up are required for tuberculosis patients with a high risk of unsuccessful treatment outcomes, including rural residents and HIV status-positive patients, throughout their treatment period.
La institución armada mexicana: su profesionalización y diseño institucional, un análisis jurídico-político fundacional
Authors: Vidal Urrutia Jorge Alberto
Published: March 2024

El ejército mexicano cumplió cien años de su fundación, en términos modernos e institucionales, como una institución emanada de la primera revolución social del siglo xx y producto directo del constitucionalismo. Cien años de permanecer leal e institucional y con un elevado reconocimiento social, como muchos estudios de opinión pública lo demuestran en los últimos años. Ha dado evidencia clara de su institucionalidad y lealtad asistiendo en tareas civiles como el apoyo a la ciudadanía en emergencias naturales y el combate al crimen organizado, tarea que le obligo a salir de su misión fundamental y que, lamentablemente, le ha generado costos de toda índole, como una consecuencia directa del tránsito y consolidación democrática en el país. Las siguientes páginas tienen la intención de presentarnos algunas estrategias y ejes sobre las cuales se realizó la reorganización del ejército mexicano durante el último lustro de los años veinte, en pleno periodo posrevolucionario, los actores y artífices ideológicos de tal proceso, y las reformas y estrategias político-jurídicas que le dan reconocimiento y aceptación social al día de hoy.
El bullying en el estado de Puebla: su regulación en los derechos de convivencia
Authors: Ponce Gómez Miriam Olga , Tenorio Martínez Georgina
Published: March 2024

La presente Investigación está enfocada al análisis del bullying, o acoso escolar, en el estado de Puebla. El acoso escolar ha tenido una creciente notoriedad pública en los últimos días, sobre todo en el constante incremento en su nivel de agresividad y violencia. No respeta sexo ni clase social. Por ello, se ha formado una conciencia de intolerancia hacia este fenómeno: ya no se considera normal ni propio de los menores de edad. La finalidad principal de este trabajo es proponer incluir este fenómeno social en los derechos de convivencia que se encuentran en el Código Civil para el Estado Libre y Soberano de Puebla.
Jurisprudencia de contrarreforma (CT: 293/2011)
Authors: Báez Corona José Francisco
Published: March 2024

Al resolver la contradicción de tesis 293/2011, la Suprema Corte de Justicia de la Nación (SCJN) hace tres afirmaciones fundamentales: 1. La máxima jerarquía de los derechos humanos en el sistema jurídico mexicano con independencia de si son emanados de la constitución o de los tratados internacionales; 2. La preeminencia de las restricciones constitucionales sobre los derechos humanos contenido en los tratados internacionales; 3. La obligatoriedad de los criterios de la Corte Interamericana de Derechos Humanos, independientemente de que México haya participado en el caso o no. El presente documento tiene como objetivo demostrar cómo la segunda de las afirmaciones referidas resulta contraria a los principios de progresividad, pro homine, de no repetición de actos condenados y a la convención de Viena, a la propia Constitución y al espíritu de la reforma constitucional 2011, para lo cual se emplea una argumentación basada en doctrina y jurisprudencia internacional, así como el análisis de los debates de la SCJN.
El desmantelamiento de la propiedad común
Authors: Rivera Pineda Arturo
Published: March 2024

En plena globalización, las protecciones establecidas conforme a la tradición del pro-común en las constituciones han sido derribadas, ignoradas o anuladas en detrimento de los marginados. Se han despojado los territorios que aún conservaban los descendientes de los pueblos originarios, con la finalidad de explotar de manera irracional sus recursos naturales a pesar de su relación directa con el debido proceso. Ese atentado ha sido perpetrado, en un alto número de casos, con la colaboración de los gobiernos que se prestan a colaborar con el capital e interés de las empresas transnacionales. Peter Linebaugh, en su obra, El Manifiesto de la Carta Magna, hace del conocimiento de quienes nos desenvolvemos dentro de la cultura del ius civile, como parte de la cultura jurídica occidental, la existencia de un segundo documento que acompaña la promulgación de la Carta Magna en Inglaterra: La Carta del Bosque.
Justicia alternativa y el fortalecimiento de los vínculos familiares. Una mirada a la mediación familiar en Argentina y México
Authors: Hernández García Cilia María , De la Rosa Rodríguez Paola Iliana
Published: March 2024

El objetivo del presente artículo es adentrar al lector en los medios alternos de solución de conflictos, haciendo un análisis de esta nueva cultura que, en pocos años, ha ganado terreno en nuestro país. Hasta ahora, la aplicación de este sistema no adversarial en otros países ha arrojado datos satisfactorios para la culminación de conflictos de una forma más sencilla, sin tantos formalismos y sobretodo evitando un mayor conflicto entre las partes. Se reflexiona sobre el papel que juegan estos mecanismos, así como las ventajas y efectos de la mediación en la solución de conflictos familiares.
La formación del Estado y la educación indígena en México, claves para el debate de la educación intercultural en nuestros días
Authors: Mantilla Gálvez Diana Karina
Published: March 2024

En este artículo se realiza un análisis de la construcción histórica del Estado en México, haciendo énfasis en la importancia del proyecto educativo como herramienta de creación de una identidad nacional homogénea y discriminatoria respecto al estilo de vida indígena en diferentes territorios del país. Se destacan, de esta manera, las políticas públicas de reconocimiento de la diferencia y el programa educativo del indigenismo como los proyectos de Estado que más han impactado a las comunidades indígenas y se presentan algunas claves para el análisis de la educación intercultural que se ha retomado en diferentes comunidades de nuestro país, sobre todo del centro y sur
Perspectiva capitalista-neoliberal sobre los derechos humanos y el derecho de excepción
Authors: Padilla Sanabria Lizbeth Xóchitl
Published: March 2024

Hablar del discurso de derechos humanos no es simple, es menester revisar cuál es su función operativa en la dinámica social en la que se pretenden aplicar. En este sentido, se cometería un grave error episteomológico si se pretende explicarlos desde épocas que ya han sido superadas socialmente. Por ende, la aplicación de los derechos humanos debe seguir la lógica de un sistema neoliberal globalizador, en el cual México está incluido, y en tal virtud, éstos se construyen desde la perspectiva internacional. Y con el fin de que los derechos humanos tengan operatividad dentro del sistema, estos deben observarse a partir de la aplicación del derecho penal de excepción. Por tal motivo, Los derechos humanos se materializan en la Constitución como derechos fundamentales, y la restricción de los primeros también se encuentran en la Carta Magna y que la base jurídica en materia de derecho penal de excepción también los contiene nuestro máximo documento; entonces el derecho penal de excepción forma parte de los derechos fundamentales en nuestro país y la Constitución lo protege a través de las restricciones constitucionales en contra de la aplicación del control interno de Convencionalidad en materia del Derecho Internacional de los Derechos Humanos
Factores psicosociales asociados a la conducta delictiva y adicciones en los municipios del valle de Toluca, México
Authors: Estrada Rodríguez José Luis , Muñoz Munguía María del Rosario
Published: March 2024

El consumo de drogas, también llamadas sustancias psicoactivas, como el alcohol, tabaco, marihuana, inhalables, drogas de diseño, entre otras, está ampliamente vinculado con la iniciación temprana de los jóvenes en la realización de ilícitos, delitos e incluso en la delincuencia organizada en México y América Latina, de acuerdo con los informes disponibles de la Organización de Estados Americanos (oea), la Oficina de las Naciones Unidas Contra la Droga y el Delito y el Programa de Naciones Unidas para el Desarrollo (pnud). Por ello, este trabajo retoma las teorías que explican este fenómeno y (con base en la evidencia empírica recolectada a partir de una prueba de tamizaje posit, que el Instituto Mexiquense contra las Adicciones aplicó a 3643 jóvenes de los municipios del valle de Toluca) presenta propuestas de intervención y un análisis de los resultados. Nuestro fin es establecer sugerencias para el desarrollo de políticas públicas y programas gubernamentales para la prevención.