bluuebunny/crossref_metadata_2025 huggingface dataset:
Professional Barriers in the Future Teachers' Readiness to Work at Inclusive Schools
Authors: Rudneva I. A. , Kozyreva O. A.
Published: November 2023

Nowadays there is a lack of empirical data demonstrating the degree of professional barriers in the future teachers` readiness to work at inclusive schools. This problem is relevant for the training teachers at universities. The purpose of this article is to present the results of the study of qualitative and quantitative characteristics of professional barriers that arise among future teachers in the process of preparing for working at inclusive schools, the results of the testing the pedagogical technology to overcome professional barriers in training future teachers. The study involves 393 students majoring in specialty “Pedagogical education”. The authors use the questionnaire called “Professional barriers in the future teachers` readiness to work at inclusive schools”. The research found the imperfection of professional training for the implementation of inclusive education. There are academic, activity, social, personal, resource professional barriers that arise among future teachers in preparing for working at inclusive schools. Professional barriers are caused by some deficits. They do not allow future teachers to perform their professional and pedagogical activities at an acceptable quality level. The classification of professional barriers based on the analysis of empirical data is presented. The content and features are described. The systematization of empirical data made it possible to develop a pedagogical technology to overcome professional barriers in training future teachers at the university. The approbation of pedagogical technology contributes to clarifying scientific ideas about the process of professional and personal formation of future teachers in terms of identifying and overcoming their professional barriers. The results of the study may be used in training students majoring in specialty “Pedagogical education”. Professional barriers are considered to be a significant aspect of the professional teaching training.
On the Way to Intercollegiate Campus: Green Promises and Real Ecological Student Practices
Authors: Kicherova M. N. , Kyrov D. N. , Shelemekha K. S.
Published: November 2023

The article discusses the issues of creating intercollegiate campuses and the gap between the statements about the environmental sustainability of projects and the environmental awareness and behavior of their future users. The authors focus on the environmental practices of students and the assessment of the level of awareness of environmental problems. Data collection and analysis was carried out on the basis of qualitative methods: semi-structured interviews with students of Tyumen State University, 58 persons, the data were analyzed by thematic and axial coding. According to the results of the study, it was revealed that with a high level of awareness of students about environmental aspects, environmental practices are poorly represented in their daily experience and have not become sustainable eco-habits. Informants noted the lack of necessary infrastructure at the university as the main barrier to environmental behavior. In the presence of environmental-oriented training courses, social networks remain the main channel for informing about environmental initiatives of the university. The authors have proposed recommendations for the ecologization of the university.
Sünde ist also nichts anderes als Ungehorsam – Widerstand und Wandel bei Spinoza
Authors: Birk Jonas , Huttel Patrick
Published: November 2023

Die vorliegende Untersuchung widmet sich dem konservativ erscheinendem Widerstandverbot innerhalb der politischen Philosophie Baruch Spinozas. Dabei wird im Widerstandsverbot ein subversives Moment ausgemacht, welches den Wandel als die Grundlage des Staates und seinen Strukturen zeigt. In der Folge wird dargestellt, dass Spinoza den Widerstand und den Wandel in einer sehr spezifischen Weise denkt: Er richtet sich gegen die Gefahr, die von einer Regierung ausgeht, die gegen die eigenen Grundlagen der Souveränität handelt. Auf diese Weise tragen gehorsame Bürger*innen, wenn sei den Grundlagen der Souveränität gegenüber Gehorsam sind, zum Wandel bei, beziehungsweise ermöglichen diesen.
Das demokratische Recht sich gegen Abschiebungen zu wehren
Authors: Scheibenpflug Valerie
Published: November 2023

Im folgenden Beitrag wird mit Bezug auf den Philosophen Étienne Balibar ein Argument für ein demokratisches Recht entwickelt, sich gegen Abschiebungen zu wehren. Folgt man den Implikationen von Gleichfreiheit und der Unterscheidung zwischen konstituierter und konstituierender Macht, stößt man auf die Wurzel radikaler Demokratie – auf einen Demos, der unbestimmt bleibt und sich zwischen Verfassung und Aufstand konstituiert. Im Folgenden soll gezeigt werden, dass die sedimentierten Formen von Volkssouveränität, wie Rechtsnormen und Wahl, nicht die einzigen Instrumente zur Konstitution von Volkssouveränität darstellen. Anhand der Suffragetten-Bewegung soll gezeigt werden, dass Aufstand und Protest in der Geschichte der Volkssouveränität eine entscheidende Rolle gespielt haben und auch heute Ausdrücke der konstituierenden Prozesse demokratischer Selbstregierung darstellen.
Zwischen Klassenkampf und Individuation: Der Vorschlag einer radikaldemokratischen Identitätspolitik
Authors: Lobenberg Leon
Published: November 2023

Identitätspolitik wird dafür kritisiert, linke Bewegungen zu spalten und lediglich Reformismus zu betreiben. Dem daraus abgeleiteten Ruf nach Linkspopulismus, der die „soziale Frage“ wieder artikulieren soll, wird von identitätspolitischer Seite wiederum ein zu vereinheitlichender Bezug auf Klasse und Nation vorgeworfen. In diesem Essay argumentiere ich einerseits, dass beide Positionen in ihren Extremen das Politische verneinen und dass zwischen ihnen andererseits eine ambivalente Spannung herrscht: Die Konstruktion von Identität ist notwendig für die Artikulation von Interessen, wirkt tendenziell aber essentialistisch, weshalb sie immer wieder auf Ausschlüsse untersucht und dementsprechend kritisiert werden muss. Ich schlage vor, diese Spannung als konstitutives Prinzip einer radikaldemokratischen Identitätspolitik anzuerkennen: Identitätskonstruktionen müssen konstant kritisiert werden, gleichzeitig bilden sie jedoch die Chance, eine gegenhegemoniale Alternative zur neoliberalen Hegemonie zu etablieren.
The identification of N6-methyladenosine-related miRNAs predictive of hepatocellular carcinoma prognosis and immunotherapy efficacy
Authors: Zou Renrui , Liu Yaqian , Qiu Sangsang , Lu Ya , Chen Yan , Yu Hui , Zhu Hangju , Zhu Wenbo , Zhu Longbiao , Feng Jifeng , Han Jing
Published: November 2023

BACKGROUND: Hepatocellular carcinoma (HCC) has a high degree of malignancy and poor prognosis. N6-methyladenosine (m6A) modifications and microRNAs (miRNAs) play pivotal roles in tumorigenesis and development. However, the role of m6A-related miRNAs in HCC has not been clarified yet. This study aimed to identify the role of m6A-miRNAs in HCC prognosis through bioinformatics analysis. METHODS: The clinicopathological information and RNA sequencing data of 369 HCC tumor tissues and 49 tumor-adjacent tissues were downloaded from the TCGA database. A total of 23 m6A regulators were extracted to evaluated the m6A-related miRNAs using Pearson’s correlation analysis. Then, we selected prognosis-related m6A-miRNAs using a univariate Cox regression model and used the consensus cluster analysis to explore the characteristics of the m6A-miRNAs. The coefficient of the least absolute shrinkage and selection operator (LASSO) Cox regression was applied to construct a prognostic risk score model. The receiver operated characteristic (ROC) analysis was applied to evaluate the prognostic value of the signature. The biological functions of targeted genes were predicted by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Then, to validate the potential predictive value for prognosis, the miRNA expression profiles from the GSE76903 and GSE6857 were used. Single sample Gene Set Enrichment Analysis (ssGSEA) and Estimation of Stromal and Immune cells in Malignant Tumor tissues using Expression data (ESTIMATE) were applied to assess the immune microenvironment of HCC. Additionally, a meta-analysis was used to verify the prognostic value of the m6A-microRNAs. RT-PCR was applied to validated the expression of miRNAs in HCC tissues. Cell viability, transwell assay and RNA m6A dot blot assays of HCC cells was applied to access the function of miR-17-5p. RESULTS: The expression of 48 m6A-related miRNAs was identified and 17 prognostic m6A-miRNAs was discovered. The expression profile of those 17 miRNAs was divided into three clusters, and these clusters were associated with the tumor microenvironment (TME) and prognosis. The nine m6A-related miRNA signature was associated with the prognosis of HCC, the AUC of the ROC was 0.771(TCGA dataset), 0.788(GSE76903) and 0.646(GSE6857). The TME and the expression of immune checkpoint molecules were associated with the risk score. The meta-analysis also validated the prognostic value of the m6A-related miRNAs (miR182-5p (HR:1.58, 95%CI:1.04-2.40) and miR-17-5p (HR:1.58, 95%CI: 1.04–2.40)). The expression of miR-17-5p was upregulated in HCC tissues and miR-17-5p showed an oncogenic role in HCC cells. CONCLUSION: The clinical innovation is the use of m6A-miRNAs as biomarkers for predicting prognosis regarding immunotherapy response in HCC patients.
Changes in Taste Perception in Patients with Minor and Major Cognitive Impairment Linked to Alzheimer’s Disease Recorded by Gustatory Evoked Potentials
Authors: El Kadiri Wafa , Perrignon-Sommet Manon , Delpont Benoit , Graber Mathilde , Mohr Sophie , Mouillot Thomas , Devilliers Hervé , Grall Sylvie , Lienard Fabienne , Georges Marjolaine , Brindisi Marie-Claude , Brondel Laurent , Bejot Yannick , Leloup Corinne , Jacquin-Piques Agnès
Published: November 2023

Background: The need for early diagnosis biomarkers in Alzheimer’s disease (AD) is growing. Only few studies have reported gustatory dysfunctions in AD using subjective taste tests. Objective: The main purpose of the study was to explore gustatory functions using subjective taste tests and recordings of gustatory evoked potentials (GEPs) for sucrose solution in patients with minor or major cognitive impairment (CI) linked to AD, and to compare them with healthy controls. The secondary objective was to evaluate the relationships between GEPs and the results of cognitive assessments and fasting blood samples. Methods: A total of 45 subjects (15 healthy subjects, 15 minor CI patients, 15 major CI patients) were included to compare their gustatory functions and brain activity by recording GEPs in response to a sucrose stimulation. CI groups were combined in second analyses in order to keep a high power in the study. Correlations were made with cognitive scores and hormone levels (ghrelin, leptin, insulin, serotonin). Results: Increased P1 latencies and reduced N1 amplitudes were observed in minor or major patients compared to controls. GEPs were undetectable in 6 major and 4 minor CI patients. Thresholds for sucrose detection were significantly higher in the major CI group than in controls or the minor CI group. No correlation was found with hormone levels. Conclusions: The cortical processing of sensory taste information seems to be altered in patients with minor or major CI linked to AD. This disturbance was identifiable with subjective taste tests only later, at the major CI stage.
Cerebrospinal Fluid Complement 4 Levels Were Associated with Alzheimer’s Disease Pathology and Cognition in Non-Demented Elderly
Authors: Zhou Jie , Wang Zhi-Bo , Sun Yan , Fu Yan , Li Da , Tan Lan ,   for the Alzheimer’s Disease Neuroimaging Initiative
Published: November 2023

Background:

Numerous studies have shown that the complement system plays an important role in Alzheimer’s disease (AD). However, whether complement 4 (C4) protein in cerebrospinal fluid (CSF) was associated with AD pathology, especially in the early stage of AD, is still unclear.

Objective:

We aimed to explore the association of CSF C4 with AD pathology and cognition in the preclinical AD.

Methods:

The study included a total of 287 participants from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. Based on the A/T scheme, they were divided into four groups to access the changes of CSF C4 in the preclinical AD. Linear regression models were used to test the associations between CSF C4 and AD core biomarkers, namely Aβ42, P-tau, and T-tau.

Results:

The level of CSF C4 decreased in the A + T- group compared with the A-T- group ( p = 0.04) and it increased in the A-T+ group compared to the A + T- group ( p = 0.01). In pooled samples, C4 was significantly associated with AD core biomarkers (all p < 0.05), but only in the A + group after stratification according to the A/T scheme. Furthermore, CSF C4 levels at baseline were associated with longitudinal cognitive changes.

Conclusions:

Our results showed that CSF C4 levels changed dynamically in the preclinical AD, and that the responses of CSF C4 to brain Aβ pathology, tau pathology and neurodegeneration were found only in the presence of amyloid plaques, both of which indicates the complex link between C4 and AD.
Reduction of Phosphorylated Tau in Alzheimer’s Disease Induced Pluripotent Stem Cell-Derived Neuro-Spheroids by Rho-Associated Coiled-Coil Kinase Inhibitor Fasudil
Authors: Giunti Elisa , Collu Roberto , Daley Sarah , Querfurth Henry , Morin Peter , Killick Richard , Melamed Rachel D. , Xia Weiming
Published: November 2023

Background: Alzheimer’s disease (AD) is the most predominant form of dementia. Rho-associated coiled coil kinase (ROCK) inhibitor, fasudil, is one of the candidate drugs against the AD progression. Objective: We aimed to investigate possible changes of AD associated markers in three-dimensional neuro-spheroids (3D neuro-spheroids) generated from induced pluripotent stem cells derived from AD patients or healthy control subjects (HC) and to determine the impact of pharmacological intervention with the ROCK inhibitor fasudil. Methods: We treated 3D neuro-spheroids with fasudil and tested the possible effect on AD markers by ELISA, transcriptomic and proteomic analyses. Results: Transcriptomic analysis revealed a reduction in the expression of AKT serine/threonine-protein kinase 1 (AKT1) in AD neuro-spheroids, compared to HC. This decrease was reverted in the presence of fasudil. Proteomic analysis showed up- and down-regulation of proteins related to AKT pathway in fasudil-treated neuro-spheroids. We found an evident increase of phosphorylated tau at four different residues (pTau181, 202, 231, and 396) in AD compared to HC-derived neuro-spheroids. This was accompanied by a decrease of secreted clusterin (clu) and an increase of intracellular clu levels in AD patient-derived neuro-spheroids. Increases of phosphorylated tau in AD patient-derived neuro-spheroids were suppressed in the presence of fasudil. Conclusions: Fasudil modulates clu protein levels and enhances AKT1 that results in the suppression of AD associated tau phosphorylation.
Physical Performance and Amyloid-β in Humans: A Systematic Review and Meta-Analysis of Observational Studies
Authors: Solis-Urra Patricio , Rodriguez-Ayllon María , Álvarez-Ortega Miriam , Molina-Hidalgo Cristina , Molina-Garcia Pablo , Arroyo-Ávila Cristina , García-Hermoso Antonio , Collins Audrey M. , Jain Shivangi , Gispert Juan Domingo , Liu-Ambrose Teresa , Ortega Francisco B. , Erickson Kirk I. , Esteban-Cornejo Irene
Published: November 2023

Background: Accumulation of amyloid-β (Aβ) plaques is one of the main features of Alzheimer’s disease (AD). Physical performance has been related to dementia risk and Aβ, and it has been hypothesized as one of the mechanisms leading to greater accumulation of Aβ. Yet, no evidence synthesis has been performed in humans. Objective: To investigate the association of physical performance with Aβ in humans, including Aβ accumulation on brain, and Aβ abnormalities measured in cerebrospinal fluid (CSF) and blood. Methods: A systematic review with multilevel meta-analysis was performed from inception to June 16th, 2022. Studies were eligible if they examined the association of physical performance with Aβ levels, including the measure of physical performance as a predictor and the measure of Aβ as an outcome in humans. Results: 7 articles including 2,619 participants were included in the meta-analysis. The results showed that physical performance was not associated with accumulation of Aβ in the brain (ES = 0.01; 95% CI –0.21 to 0.24; I2 = 69.9%), in the CSF (ES = –0.28; 95% CI –0.98 to 0.41; I2 = 91.0%) or in the blood (ES = –0.19; 95% CI –0.61 to 0.24; I2 = 99.75%). Significant heterogeneity was found across the results , which posed challenges in arriving at consistent conclusions; and the limited number of studies hindered the opportunity to conduct a moderation analysis. Conclusions: The association between physical performance and Aβ is inconclusive. This uncertainly arises from the limited number of studies, study design limitations, and heterogeneity of measurement approaches. More studies are needed to determine whether physical performance is related to Aβ levels in humans.
Association of COVID-19 with Risk and Progression of Alzheimer’s Disease: Non-Overlapping Two-Sample Mendelian Randomization Analysis of 2.6 Million Subjects
Authors: Ding Pingjian , Gurney Mark , Perry George , Xu Rong
Published: November 2023

Background: Epidemiological studies showed that COVID-19 increases risk of Alzheimer’s disease (AD). However, it remains unknown if there is a potential genetic predispositional effect. Objective: To examine potential effects of genetic susceptibility of COVID-19 on the risk and progression of AD, we performed a non-overlapping 2-sample Mendelian randomization (MR) study using summary statistics from genome-wide association studies (GWAS). Methods: Two-sample Mendelian randomization (MR) analysis of over 2.6 million subjects was used to examine whether genetic susceptibility of COVID-19 is not associated with the risk of AD, cortical amyloid burden, hippocampal volume, or AD progression score. Additionally, a validation analysis was performed on a combined sample size of 536,190 participants. Results: We show that the AD risk was not associated with genetic susceptibility of COVID-19 risk (OR = 0.98, 95% CI 0.81–1.19) and COVID-19 severity (COVID-19 hospitalization: OR = 0.98, 95% CI 0.9–1.07, and critical COVID-19: OR = 0.98, 95% CI 0.92–1.03). Genetic predisposition to COVID-19 is not associated with AD progression as measured by hippocampal volume, cortical amyloid beta load, and AD progression score. These findings were replicated in a set of 536,190 participants. Consistent results were obtained across models based on different GWAS summary statistics, MR estimators and COVID-19 definitions. Conclusions: Our findings indicated that the genetic susceptibility of COVID-19 is not associated with the risk and progression of AD.
Comorbidities Incorporated to Improve Prediction for Prevalent Mild Cognitive Impairment and Alzheimer’s Disease in the HABS-HD Study
Authors: Zhang Fan ,   for the Health and Aging Brain Study (HABS-HD) Study Team, Petersen Melissa , Johnson Leigh , Hall James , O’Bryant Sid E.
Published: November 2023

Background: Blood biomarkers have the potential to transform Alzheimer’s disease (AD) diagnosis and monitoring, yet their integration with common medical comorbidities remains insufficiently explored. Objective: This study aims to enhance blood biomarkers’ sensitivity, specificity, and predictive performance by incorporating comorbidities. We assess this integration’s efficacy in diagnostic classification using machine learning, hypothesizing that it can identify a confident set of predictive features. Methods: We analyzed data from 1,705 participants in the Health and Aging Brain Study-Health Disparities, including 116 AD patients, 261 with mild cognitive impairment, and 1,328 cognitively normal controls. Blood samples were assayed using electrochemiluminescence and single molecule array technology, alongside comorbidity data gathered through clinical interviews and medical records. We visually explored blood biomarker and comorbidity characteristics, developed a Feature Importance and SVM-based Leave-One-Out Recursive Feature Elimination (FI-SVM-RFE-LOO) method to optimize feature selection, and compared four models: Biomarker Only, Comorbidity Only, Biomarker and Comorbidity, and Feature-Selected Biomarker and Comorbidity. Results: The combination model incorporating 17 blood biomarkers and 12 comorbidity variables outperformed single-modal models, with NPV12 at 92.78%, AUC at 67.59%, and Sensitivity at 65.70%. Feature selection led to 22 chosen features, resulting in the highest performance, with NPV12 at 93.76%, AUC at 69.22%, and Sensitivity at 70.69%. Additionally, interpretative machine learning highlighted factors contributing to improved prediction performance. Conclusions: In conclusion, combining feature-selected biomarkers and comorbidities enhances prediction performance, while feature selection optimizes their integration. These findings hold promise for understanding AD pathophysiology and advancing preventive treatments.
Table structure recognition using black widow based mutual exclusion and RESNET attention model
Authors: Tiwari Devendra , Gupta Anand
Published: November 2023

Tables are commonly used for effective and compact representation of relational information across the data in diverse document classes like scientific papers, financial statements, newspaper articles, invoices, or product descriptions. However, table structure detection is a relatively simple process for humans, but recognizing precise table structure is still a computer vision challenge. Further, innumerable possible table layouts increase the risk of automatic topic modeling and understanding the capability of each table from the generic document. This paper develops the framework to recognize the table structure from the Compound Document Image(CDI). Initially, the bilateral filter is designed for image transformation, enhancing CDI quality. An improved binarization-Sauvola algorithm (IBSA) is proposed to degrade the tables with uneven illumination, low contrast, and uniform background. The morphological Thinning method extracts the line from the table. The masking approach extracts the row and column from the table. Finally, the ResNet Attention model optimized over Black Widow optimization-based mutual exclusion (BWME) is developed to recognize the table structure from the document images. The UNLV, TableBank, and ICDAR-2013 table competition datasets are used to evaluate the proposed framework’s performance. Precision and accuracy are the metrics considered for evaluating the proposed framework performance. From the experimental results, the proposed framework achieved a precision value of 96.62 and the accuracy value of 94.34, which shows the effectiveness of the proposed approach’s performance.
Modeling and analysis of spatial difference and evolution of agricultural parks based on topological segmentation and cluster analysis
Authors: Yin Liru , Yang Zhiwei
Published: November 2023

When the traditional evolution model studies the regional distribution of agricultural parks, the relationship between regions is not clear enough, which leads to the lack of generality of regional distribution. In order to solve this problem, this study adopts the methods of topological division and cluster analysis, establishes the model of regional diversity and evolution of farms, and clusters the spatial information of agricultural parks. According to the feature factors, the images are classified, and the image dimension values are reduced. The data space is divided into cellular space by the method of network topology structure division, and the effective coefficient of each cell is calculated, and the spatial structure and characteristics of agricultural parks are extracted to reveal the similarities and differences between different parks. The experimental results show that the evolution model of agricultural parks constructed by topological division and clustering method shows obvious clustering characteristics in space, and the relationships among the factors are good. It is proved that the model can describe the spatial differences and evolution trends of agricultural parks more accurately, so as to provide more targeted suggestions for the planning, management and sustainable development of agricultural parks.
RETRACTED: TODIM-GRA technique for performance evaluation of financial management in provincial colleges under 2-tuple linguistic Pythagorean fuzzy sets
Authors: Lv Jingjing
Published: November 2023

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
A dual-scale hybrid prediction model for UAV demand power: Based on VMD and SSA optimization algorithm
Authors: Zhang Bin , Li Jianqi , Li Zewen , Sun Jian , Xia Yixiang , Zou Pinlong
Published: November 2023

The prediction of power demand for unmanned aerial vehicles (UAV) is an essential basis to ensure the rational distribution of the energy system and stable economic flight. In order to accurately predict the demand power of oil-electric hybrid UAV, a method based on variational mode decomposition (VMD) and Sparrow Search Algorithm (SSA) is proposed to optimize the hybrid prediction model composed of long-short term memory (LSTM) and Least Squares Support Vector Machine (LSSVM). Firstly, perform VMD decomposition on the raw demand power data and use the sample entropy method to classify the feature-distinct mode components into high-frequency and low-frequency categories. Then, each modality component was separately input into the mixed model for rolling prediction. The LSSVM model and LSTM model were used to process low-frequency and high-frequency components, respectively. Finally, the predicted values for each modal component are linearly combined to obtain the final predicted value for power demand. Compared with the current models, the prediction model constructed in this paper stands out for its superior ability to track the changing trends of power demand and achieve the highest level of prediction accuracy.
Secure cloud storage for IoT based distributed healthcare environment using blockchain orchestrated and deep learning model
Authors: Rajasekaran P. , Duraipandian M.
Published: November 2023

Internet of Things (IoT), a distributed healthcare system has integrated different medical resources with sensors and actuators. In this research paper proposes a secure healthcare monitoring system for IoT based distributed healthcare systems in the cloud using blockchain and deep learning (DL) mechanisms. The proposed system involved three phases: secure data transmission, data storage, and disease classification system. Initially, the patients are authenticated via blockchain mechanism and their data is encrypted via Effective Key-based Rivest Shamir Adelman (EKRSA), in which the keys are generated using Circle chaotic map and Linear inertia weight-based Honey Badger Optimization (CLHBO) algorithm. Next, in the data storage phase, these encrypted IoT data are securely stored in the cloud using blockchain technology in a distributed manner. Finally, in the disease classification, the data are gathered from the publicly available dataset, and these collected datasets are preprocessed to handle missing values and data normalization. After that, the proposed system applies a radial basis kernel-based linear discriminant analysis (RBKLDA) model to reduce the dimensionality of the dataset. At last, the disease classification is done by optimal parameter-centered bidirectional long short-term memory (OPCBLSTM). The proposed EKRSA system archives maximum throughput of 99.05% and reliability of 99.66, which is superior to the existing approaches. The OPCBLSTM is investigated for its disease classification process, the proposed one achieves 99.64% accuracy with less processing time of 6 ms, which is superior to the existing classifiers. The experimental analysis proves that the system attained better security and classification metrics results than the existing methods.
Analyzing stability and structural aspects of embedded fuzzy type 2 PID controller for robot manipulators
Authors: Venkataramanan K. , Arun M. , Jha Shankaranand , Sharma Aditi
Published: November 2023

This study delves into the development and analysis of a novel Embedded Fuzzy Type 2 PID Controller for Robot Manipulators, motivated by the increasing need for enhanced control systems in robotic applications to improve precision and stability. In the background section, the limitations of conventional PID controllers in addressing uncertainties and disturbances, especially in complex tasks performed by robot manipulators, are presented. The concept of fuzzy logic and the Type 2 fuzzy system is introduced, highlighting their potential to manage imprecise and uncertain information. Through rigorous analysis and simulation, the superior performance of the Embedded Fuzzy Type 2 PID Controller is demonstrated when compared to traditional PID controllers and even Type 1 fuzzy controllers. The results showcase enhanced tracking accuracy, disturbance rejection, and adaptability, making it a promising solution for advanced robotic applications. In conclusion, this research provides a robust solution for improving the control of robot manipulators in uncertain and dynamic environments. The Embedded Fuzzy Type 2 PID Controller offers a new paradigm in control theory, ensuring stability and precision even in the face of unpredictable factors. This innovation holds great promise for advancing the capabilities of robotic systems and underlines the potential for further research in embedded fuzzy control systems.
RETRACTED: Enhanced radial base deep learning algorithm for predicting multimedia security issues
Authors: Haripriya V. , Vishal Gupta Mohan , Nadkarni Nikita , Malik Suraj , Yadav Aditya , Joshi Apoorva
Published: November 2023

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Enhanced Epileptic Seizure Identification using Sparse ELM-ABO Fusion with Feature Reduction and Multi-class Classification
Authors: Saranya D. , Bharathi A.
Published: November 2023

The interpretation of the electroencephalogram (EEG) signal is one method that can be utilized to diagnose epilepsy, which is one of the most prevalent brain illnesses. The length of an EEG signal is typically quite long, making it difficult to interpret manually. Extreme Learning Machine (ELM) is used to detection of Epilepsy and Seizure. But in ELM Storage space and training time is high. In order to reduce training time and storage space African Buffalo Optimization (ABO) algorithm is used. ABO is combined with Sparse ELM to improve the speed, accuracy of detection and reduce the storage space. First, Wavelet transform is used to extract relevant features. Due to their high dimensionality, these features are then reduced by using linear discriminant analysis (LDA). The proposed Hybrid Sparse ELM technique is successfully implemented for diagnosing epileptic seizure disease. For classification, the Sparse ELM-ABO classifier is applied to the UCI Epileptic Seizure Recognition Data Set training dataset, and the experimental findings are compared to those of the SVM, Sparse ELM, and ELM classifiers applied to the same database. The proposed model was tested in two scenarios: binary classification and multi-label classification. Seizure identification is the only factor in binary classification. Seizure and epilepsy identification are part of multi-label classification. It is observed that the proposed method obtained high accuracy in classification with less execution time along with performance evaluation of parameters such as prediction accuracy, specificity, precision, recall and F-score. Binary classification scores 96.08%, while multi-label classification achieves 90.89%.
Fulfillment of The Rights of Wife and Children Post Divorce
Authors: Andrea Fahmi Tiara Rahma , Awaliyah Zakiah Nurul
Published: November 2023

If the marriage is broken up due to divorce, the former husband and wife concerned who are the father and mother of their children are still obliged to look after and educate their children. In the Compilation of Islamic Law, when a marriage is broken up by divorce, the ex-husband is given the obligation to give mut'ah to his ex-wife and children who have not yet been mumayiz, who are entitled to hadnanah. Rights at the time of divorce are efforts to empower the dignity of a woman. Thus, this paper aims to find out how when an ex-husband is negligent in fulfilling obligations towards his ex-wife and child. This is because when a divorce occurs because of divorce, a husband thinks that there is no more maintenance that must be given to his ex-wife so there are obligations that the ex-husband ignores.
How German Communication Research Discovered Bourdieu but Missed His Potential for the Study of (Populist) Political Communication
Authors: Krämer Benjamin
Published: November 2023

Starting with an outline of Pierre Bourdieu’s reception in German-speaking communication research, this article identifies an important omission: his writings on politics and the corresponding symbolic struggles. In particular, the field of research on political communication could profit from the approaches outlined in these publications. This is exemplified by research on populist communication, which has become one of the most important topics in the field of political communication. This contribution argues that, together with Bourdieu’s theory of social class, his conception of politics could be a fruitful way to understand current (right-wing) populism, with its construction of “the people,” its particular claim to representation, as well as its social-structural basis and appeal to certain groups. However, there are several barriers immanent in the dominant approaches to research on political communication that can be understood from the history of the field and that have hindered the adoption of such a perspective in German-speaking communication research.
Expectation of Life at Birth by Sex and Area of Residence in India and Bigger States/UT’s (2013-2017): A Review
Authors: Swargiary Khritish
Published: November 2023

This research article provides a comprehensive analysis of the Expectation of Life at Birth in India and its larger states and union territories (UTs), with a specific focus on rural and urban disparities. The data, obtained from the Ministry of Health and Family Welfare of India, highlights the variations in life expectancy by sex and area of residence, shedding light on the health and socio-economic conditions in different regions. The article discusses the implications of these findings and their relevance for public health policy and interventions.
Dental Trauma: A Painful Experience for the Paediatric Population From a Pediatric Dentist's Point of view
Authors: Datta Arpita , Mohanty Susant
Published: November 2023

A child's general health is ensured by various sorts of physical activities but none of these activities should cause any difficulties or either hampers their growth and development. The most important aspect to these being the wellbeing of oral health of kids from sudden injuries which most of the times is overlooked by both the parents, caretakers or pediatricians'. Trauma may massively impact the psychological health of the adolescents as well. There comes the role of an Oro-Dental Specialist, who can draw a margin between the distress and difficulties faced by the pediatric patients due to such fatalities and also spread awareness among the parents. Preventive therapeutic steps help to depicture the current scenario and help provide a better life for future generations.

Keywords: Traumatic Dental Injuries, Anterior teeth, Oral Health, Complications.
Pelatihan Pemesinan Bubut (Lathe) Bagi Pemuda di Kelurahan Simpang Timbangan, Kecamatan Indralaya Utara, Kabupaten Ogan Ilir
Authors: Harlin Harlin , Hermawan Rudi , Kurniawan Elfahmi Dwi , Nopriyanti Nopriyanti , Ramadhan Anugrah Agung
Published: November 2023

Seorang pemuda sangat diharapkan memiliki sebuah keahlian, keterampilan yang harus dipelajari secara terus-menerus, diperlukan banyak waktu latihan, keseriusan, komitmen serta kerja keras. Dalam hal ini adalah pengoperasian mesin bubut (Lathe). Namun lingkungan sekitar yang belum memadai karena masih minimnya penggunaan mesin tersebut. Selain itu, pemuda kesulitan mencari informasi dari berbagai sumber, terutama pada langkah-langkah dan prosedur mengoperasikan mesin bubut (Lathe). Metode yang akan digunakan dalam kegiatan ini dan strategi pelatihan akan diuraikan sebagai berikut: 1. Persiapan 2. Pelaksanaan pelatihan a. Presentasi dan Diskusi b. Pelatihan dan Pendampingan 3. EvaluasiEfektivitas pelatihan dan pendampingan Pemesinan Bubut meningkatkan pengetahuan keterampilan, dan komitmen pemuda dalam mengoperasikan mesin bubut serta mengembangkan kemampuan pemuda dalam mengoperasikan mesin sesuai SOP adalah 40 % dengan kriteria sangat baik, 20 % dengan kriteria baik, 10 % kriteria kurang baik, dan 30 % termasuk kriteria sangat tidak baik. Berdasarkan hasil analisa bisa disimpulkan bahwa pelatihan dan pendampingan termasuk pada kriteria Sangat Baik atau Efektif.Pelatihan dan pendampingan tersebut menambah pengetahuan, keterampilan dan bermanfaat. Proses pelatihan disambut antusias dengan respon yang baik dari para peserta kegiatan menghasilkan peningkatan pemahaman dan interaksi diskusi tanya jawab. Respon diskusi tanya jawab yang erat terkait materi yang dipaparkan merupakan umpan balik yang menunjukkan bahwa kegiatan telah berjalan sesuai harapan. Pemuda dapat membuat benda kerja sederhana. Efektivitas pelatihan dan pendampingan Pemesinan Bubut meningkatkan pengetahuan keterampilan, dan komitmen pemuda dalam mengoperasikan mesin bubut serta mengembangkan kemampuan pemuda dalam mengoperasikan mesin sesuai SOP termasuk pada kriteria Sangat Baik atau Efektif.
PEMBUATAN ALAT DESTILASI AIR BERTENAGA PANEL SURYA BAGI WARGA PENGHUNI DAERAH BERSUMBER AIR ASIN
Authors: Ma'ady Mochamad Nizar Palefi , Syahda Tabina Shafa Nabila , Caezaria Cornelia Angela , Sa’idah Rizqy Athiyya Nafi’atus
Published: November 2023

Air dianggap menjadi kebutuhan dasar bagi manusia, namun saat ini krisis air bersih masih menjadi permasalahan di Pedesaan salah satunya desa Kedanyang, kabupaten Gresik. Adanya air sumur asin dapat menyebabkan dampak negatif bagi warga. Maka dari itu, dirancang suatu alat prototype dari implementasi teknologi Internet of Things (IoT) dengan protokol MQTT untuk proses distilasi. Proses ini dilakukan untuk menghilangkan kadar garam berlebih pada air dengan mengambil uap-uap air dari proses destilasi. Adanya protokol MQTT mendukung system hybrid untuk memaksimalkan sistem agar dapat bekerja pada siang dan malam hari menggunakan energi baterai. Hasil penelitian menunjukkan bahwa alat prototype ini dapat membantu proses distilasi secara maksimal baik siang maupun malam hari.
APLIKASI DESAIN GRAFIS UNTUK PENGEMBANGAN KONTEN PROMOSI PRODUKSI PENGRAJIN ANYAMAN PURUN DESA BURAI
Authors: Desiani Anita , Erwin Erwin , Erwin Erwin , Andriani Yuli , Maiyanti Sri Indra , Muzakir Adi , Pratiwi Ananda , Lubis Andika Cristian , Sari Puspa
Published: November 2023

Burai Village is located in Tanjung Batu District, Ogan Ilir Regency, South Sumatra has woven purun crafts as its characteristic. Burai Village women make handicrafts made from purun in a manual way to fill their free time. The results of woven purun in Burai Village are usually sold directly or by receiving requests from people who visit Burai Village so that the woven purun made from Burai Village is only known by those who are and visit in the area. This marketing limitation is caused by the lack of public knowledge related to marketing strategies and technological knowledge in marketing the products sold. It is necessary to empower purun woven craftsmen through the use of graphic design applications to increase marketing and buying and selling of purun chicken in Burai Village. The stages in this activity are surveys, preparation of activities, delivery of materials and evaluation of activities. After the implementation of this activity, the participants have sufficiently understood how to use the application which can be seen from the increase in the results of the pre-test and post-test knowledge scores that the participants have done. And it is also expected to be implemented on a sustainable scale.
PHYSICAL PROPERTIES AND ANTIOXIDANT ACTIVITY OF ESSENCE SHEET MASK WITH CONVENTIONAL AND HYDROPONIC RED SPINACH LEAF EXTRACT
Authors: Saputri Romadhiyana Kisno , Ardianti Aprillia Dwi , Pitaloka Ria Indah Kusuma , Ni'am Musfirotun , Farlina Nur , Afifta Siti Nur , Afifta Siti Nur
Published: November 2023

Red spinach is a plant that known as natural antioxidants that contain anthocyanins, flavonoids, betalains, polyphenols and carotenoids and can be developed into sheet mask essence. The antioxidant activity of red spinach affected by the cultivation method. This study aims to determine the physical properties and antioxidant activity of conventional and hydroponic essences with red spinach leaf extract. The making of essence sheet mask starts from making red spinach leaf extract by maceration method using 96% ethanol as solvent for 3x24 hours, then the extract is added to the formulation. Physic evaluations were organoleptic tests including assessing shape, aroma and color by panelists, homogeneity that their data analyzed by descriptively, pH and viscosity analyzed by t-test. Test of antioxidant activity of spinach leaf extract using the DPPH method that analyzed by t-test. Conventional and hydroponic red spinach leaf extracts have a thick green color, thick form and a characteristic spinach odor, while essence sheet masks have a light green color, viscous liquid form and a distinctive fragrance, a safe pH value for facial skin, which is around 5.18 ± 0. 29 to 5.64±0.12, homogeneous and viscosity values ranged from 162.92±21.95 to 187.58±17.54 cps. Based on the results of t-test the pH and viscosity values of all formulations were not significantly different. The antioxidant activity of conventional and hydroponic red spinach leaf extract was in the strong category and not significant difference based on the t-test. The essence sheet mask has good physical properties and the IC50 value of conventional red spinach leaf extract is 52.53 and hydroponic red spinach leaf extract is 73.93.
ANALISIS SIFAT MEKANIK BAJA ST 60 SETELAH PROSES QUENCHING DENGAN VARIASI WAKTU
Authors: Sukarno Nota Ali , Legowo Abdi , Azis Abdul , Saputra Lingga Arti , Sunaryo Sunaryo
Published: November 2023

Baja ST 60 termasuk baja karbon sedang yang merupakan bahan yang mudah dibentuk. Baja ini mempunyai kandungan karbon 0,3% - 6%. Penggunaan pada industri permesinan bisa mengakibatkan struktur logam terkena gaya eksternal seperti tegangan gesek yang mengakibatkan perubahan bentuk. Pada penelitian baja ST 60 ini mempunyai tujuan untuk mengetahui sifat kekerasan dari baja ST 60 tersebut. Dalam penelitian ini diawali dengan proses preparasi material menjadi spesimen uji, kemudian dilakukan perlakuan panas (heat treatment) pada suhu yang sudah ditentukan yaitu 850 °C dengan variasi waktu tahan (holding time) 10, 15, 20, 25 dan 30 menit pada tungku pemanas (furnace) dan kemudian di lakukan pendinginan secara cepat (quenching) pada oli SAE 50. Setelah di quenching, spesimen uji tersebut dilakukan pengujian kekerasan. Dari pengujian didapatkan hasil bahwa sifat kekerasan baja ST 60 setelah dilakukan perlakuam panas terjadi peningkatan, yaitu dengan nilai kekerasan maksimum pada holding time 30 menit sebesar 26,50 HRC dan minimum pada holding time 10 menit sebesar 32,20 HRC. Sedangkan sebelum perlakuan panas kekerasnnya 12,48 HRC. Meningkatnya sifat kekerasan ini dikarenakan holding time yang lama akan mempengaruhi butiran karbon yang menyebar ke permukaan baja ST 60.
Pasar Pesantren Rakyat Sebagai Modal Sosial Pembangunan Ekonomi Bangsa
Authors: Mazid Sukron , Farikah Farikah , Setyorini Ika , Astuti Margi
Published: November 2023

Penelitian ini bertujuan untuk mengetahui pasar pesantren rakyat sebagai modal social dalam pembangunan ekonomi bangsa. Metode penelitian menggunakan pendekatan deskriptif kualitatif melalui observasi, wawancara, dan dokumentasi. Keabsahan data melalui trianggulasi (sumber dan metode). Analisis data menggunakan model Miles dan Huberman yaitu reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan Pasar Rakyat Pesantren sebagai modal social. pertama; pasar rakyat pesantren sebagai modal social, yakni memberdayakan warga pesantren dan masyarakat sekitar untuk bersama-sama membangun ekonomi bangsa. Pembangunan ekonomi melalui kemandirian, moralitas, dan wirausaha. Kedua, pasar rakyat pesantren sebagai modal social pembangunan ekonomi bangsa, yakni Pasar Rakyat Pesantren sebagai modal social, bisa memberikan akses interaksi, komunikasi, kontribusi dan partisipasi. Sehingga bersama-sama demi memajukan pembangunan ekonomi bangsa
PENGARUH WOOLWICH MASSAGE TERHADAP KELANCARAN PENGELUARAN ASI IBU POSTPARTUM DI RUMAH SAKIT WILAYAH KABUPATEN WONOSOBO
Authors: Widadi Sapti , Nugraheni Nazilla , Marwiati Marwiati
Published: November 2023

Breast milk is milk that contains all the nutrients a baby needs to grow and develop. WHO says that exclusive breastfeeding is very beneficial for mothers and babies, the most important thing is to protect babies from gastrointestinal infections so that the risk of infant death due to diarrhea and other infections. One of the efforts that can be made to increase lactation hormones is to do breast care. Stimulating oxytocin and prolactin in postpartum mothers is by creating a feeling of relaxation, one of which is by doing woolwich massage.  Researchaims to determine whether or not there is an effect of woolwich massage on the smooth production of breast milk in portpartum mothers in hospitals in Kab.  Wonosobo. The research method used was a quasy experiment with non-equivalent control group design. This study divided respondents into experimental groups and control groups. The population is the average postpartum vaginal mothers from January to May 2023 at RSI Wonosobo and RSUD KRT. Setjonegoro Wonosobo. The sampling techniques used were quota sampling and bivariate analysis with the Mann Whitney U test. The results showed there was a difference between the experimental group and the control group with a p-value of 0.013<α (0.05). Conclusion: asignificant effect of wooolwich massage on the smooth milk production of postpartum mothers.