Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative Analysis of CNN and Different R-CNN based Model for Prediction of Alzheimer’s Disease

INTRODUCTION: Medical images still need to be examined by medical personnel, which is a prolonged and vulnerable progression. The dataset used included 4 classes of 6400 training and test MRI images each and was collected from Kaggle such as cognitively normal (CN), Mild Cognitive Impairment stage (MCI), moderate cognitive impairment (Moderate MCI), and Severe stage of cognitive impairment (AD). OBJECTIVES: There was a glaring underrepresentation of the Alzheimer Disease (AD) class. The accuracy and effectiveness of diagnoses can be improved with the use of neural network models. METHODS: In order to establish which CNN-based algorithm performed the multi-class categorization of the AD patient's brain MRI images most accurately. Thus, examine the effectiveness of the popular CNN-based algorithms like Convolutional Neural Network (CNN), Region-based CNN (R-CNN), Fast R-CNN, and Faster R-CNN. RESULTS: On the confusion matrix, R-CNN performed the best. CONCLUSION: R-CNN is quick and offers a high precision of 98.67% with a low erroneous measure of 0.0133, as shown in the research.
Impact of mission and vision on academic services mediated by governance and human resources in higher education institutions of Indonesia

Mission and vision play an essential role in strategic management. They are the philosophical foundation and strategic direction of higher education, serving as a guide, inspiration, and control tool to achieve organizational goals. Therefore, this study aims to investigate the relevance and impact of mission and vision on academic services provided by Indonesian higher education institutions through governance and human resources. The research instrument is based on relevant literature and uses a Likert scale to measure implementation, socialization, and effectiveness of mission and vision, academic services, governance, and human resources. Data were collected using the online random sampling method, and the number of respondents was 10,937 lecturers. The study uses a serial mediation analysis to test the hypotheses. The research results show that governance and human resources positively affect academic services. As a mediator variable, they can improve academic services. The results highlight the significant contribution of mission and vision to governance. Governance also contributes significantly to human resource management. Human resources can boost academic services. This study emphasizes the importance of the university’s mission and vision, namely the philosophical foundation and strategic direction of academic services supported by appropriate human resources and good governance.
A stochastic implementation of the APCI model for mortality projections

Abstract The Age-Period-Cohort-Improvement (APCI) model is a new addition to the canon of mortality forecasting models. It was introduced by Continuous Mortality Investigation as a means of parameterising a deterministic targeting model for forecasting, but this paper shows how it can be implemented as a fully stochastic model. We demonstrate a number of interesting features about the APCI model, including which parameters to smooth and how much better the model fits to the data compared to some other, related models. However, this better fit also sometimes results in higher value-at-risk (VaR)-style capital requirements for insurers, and we explore why this is by looking at the density of the VaR simulations.
Role of lipoprotein lipase variants in metabolic disorders and cardiovascular diseases

Lipoprotein lipase (LPL) is a glycoprotein that is produced and secreted into the interstitial space in various tissues, including the cardiac muscle, adipose tissue, macrophages, and skeletal muscle. LPL activity could be affected by genetic alterations which result in changes in lipid metabolism. This review article only focuses on reporting the recent studies which mainly explain the role of the LPL gene variants in metabolic syndrome and cardiovascular diseases. There are over 100 LPL gene variants, but this review article reported rs1801177, rs118204069, rs118204057, rs118204060, rs118204068, rs268, and rs328 as the most common in metabolic syndrome patients. In cardiovascular diseases, LPL variants rs1801177, rs268 and rs328 were the most prevalent. Therefore, it is suggested that further studies should be conducted to identify the LPL gene variants in other cardiovascular diseases, including cardiac arrhythmia. This review article concludes that LPL deficiency and dysfunction are associated with many diseases, such as obesity, insulin resistance, diabetes, chylomicronemia, atherosclerosis, myocardial infarction, coronary artery disease, and stroke.
Analyzing the Probability of Key Recovery in the Differential Attacks Against ChaCha

The stream cipher ChaCha has been subjected to differential linear cryptanalysis since 2008. Aumasson et al. (2008) laid the groundwork for this attack, employing the concept of probabilistically neutral bits for key recovery. Subsequently, various enhancements have been made to this attack over the last few decades. These improvements are essentially refinements to the probabilistically neutral bit-based attack approach. Despite the proposed modifications in these improvements, which increase attack complexity, the consequential changes in the associated probability of key recovery have not been thoroughly examined. A comprehensive analysis of the probability of key recovery is lacking in all attacks within this domain. No systematic process is available in the existing works for analyzing the probability of key recovery. This paper addresses this gap by proposing a method for estimating the probability of key recovery in these attacks. Employing this method, we calculate an estimated interval for the probability of key recovery for both the original idea presented by Aumasson et al. (2008) and the subsequent modifications to this idea. This analysis allows us to understand the variations in probability associated with these modifications.
Conceptual Metaphors in Reporting on the COVID-19 Pandemic in Japan’s NHK Newspaper: A Cognitive Semantics Analysis

This research is a cognitive semantic study using qualitative methods on conceptual metaphors used in reporting on the COVID-19 pandemic in Japan. The theory used is conceptual metaphor theory by Lakoff and Johnson (2003) and image schema theory by Croft and Cruse (2004). The data collection method used was the method of free-living and proficient viewing, while the data review method used was the referential equivalent method. The data was taken from six online news articles in the Japanese-language NHK newspaper. This study aims to describe the classification of conceptual metaphors and image schemes that appear in the news regarding the handling of the COVID-19 pandemic in Japan. There were 13 data found, which were divided into 3 structural metaphors, 4 orientational metaphors, and 6 ontological metaphors. Based on the image schema, the data is also divided into 5 forces, 4 scales, 1 space, 1 existence, and one schemes container. The concept mapping of the metaphor in this study is the depiction of COVID-19 as an enemy, government policies as medicine, and the process of handling COVID-19 as a way forward on the road. In terms of image schema, the metaphor used tends to be a force, depicting COVID-19 as an opponent or obstacle.
RELACIÓN ENTRE EL SENTIDO ATRIBUIDO AL TRABAJO Y LA CONDUCTA DE COMPARTIR CONOCIMIENTO RELATION BETWEEN SENSE ATTRIBUTED TO WORK AND THE KNOWLEDGE SHARING BEHAVIOR

This article reveals the relationship between the sense attributed to work and the knowledge sharing behavior via qualitative research. The case study methodology used in-depth interviews. Participants were five men and five women, half of them workers of an industry and the others of a university, in the department of Boyaca (Colombia). It was found that attributed senses to work influence the practice of knowledge sharing behavior in the work context. In the study emerged the presence and concordance of variables related to knowledge sharing, addressed so far only by quantitative research.
Identification of SWI/SNF Subcomplex GBAF Presence, Intra-Complex Interactions, and Transcriptional Dynamics during Early Porcine Development

Simple Summary Epigenetics is the study of heritable features known as epigenetic marks and other mechanisms that regulate how and when gene expression happens within a cell. Understanding the epigenetic status of cells during early embryonic and fetal development provides clues as to how development progresses under normal circumstances and a basis for comparison in cases where development does not progress as expected. Pigs are a useful organism for studying early development, as not only are they a staple livestock species, but they also have many physiological similarities to humans. This research identified the SWI/SNF chromatin remodeling complex GBAF in pig oocytes, embryos, and early development cell lines. Chromatin remodeling complexes can change how DNA is organized and packaged in a cell’s nucleus and influence gene expression as a result. GBAF, a key epigenetic mechanism, may regulate gene expression during early pig development by influencing how DNA is organized in a cell’s nucleus. Investigating these epigenetic controls is vital for understanding the complex network of factors responsible for shaping growth, development, reproductive efficiency, and overall animal health. Abstract Understanding the complex interplay between genetics and environmental factors is vital for enhancing livestock production efficiency while safeguarding animal health. Despite extensive studies on production-specific genes in livestock, exploring how epigenetic mechanisms and heritable modifications govern animal growth and development remains an under-explored frontier with potential implications across all life stages. This study focuses on the GBAF chromatin remodeling complex and evaluates its presence during embryonic and fetal development in swine. Immunocytochemistry and co-immunoprecipitation techniques were employed to investigate the presence and interactions of GBAF subunits BRD9 and GLTSCR1 in porcine oocytes, preimplantation embryos, and cell lines, and transcriptional dynamics of GBAF subunits across these key developmental stages were analyzed using existing RNA-seq datasets. BRD9 and GLTSCR1 were identified across all represented stages, and an interaction between GLTSCR1 and BAF170 was shown in PTr2 and PFF cells. Our findings highlight the ubiquitous presence of GBAF in porcine early development and the potentially novel association between GLTSCR1 and BAF170 in swine. The transcriptional dynamics findings may suggest GBAF-specific contributions during key developmental events. This study contributes to the growing understanding of epigenetic regulators in both swine and mammalian development, emphasizing the implications of GBAF as a modulator of key developmental events.
Industrial Cluster Development and its Contribution to Economic Growth in Taiwan - Hsinchu Science and Industrial Park (HSIP)

The development of industrial cluster plays a significant role in the growth of national industries, and the industrial cluster development indeed makes a great impact on the progression of national industries, especially in developing countries. Under the fiercely global trends in competition, industrial cluster has been identified as an important strategy to keep the development of regional industries in a sustainable trajectory, and a good implementation of industrial cluster usually reflects on the cluster region carrying within a large number of Small and Medium-Sized Enterprises (SMEs). Through the clustering of businesses and industries, the corresponding geographical proximity, and the promotion of mutual support and learning, businesses and industries located in the cluster region can further acquire the advantages of Economy of Scale and those of Economy of Scope. Meanwhile, the successful experience of Hsinchu Science and Industrial Park (HSIP) has become a good model for many countries to learn the development of Science Park, and the most contribution of HSIP is transforming the labour-intensive industries to talent-intensive industries. Also, it directly promotes the development of high-technology industries in a sustainable trajectory. Most important of all, the success of HSIP created the so-called “Taiwan Economic Miracle” in the later twentieth century, and it led Taiwan to be one of “Four Asian Tigers”.
Association between missense variants of uncertain significance in the CHEK2 gene and hereditary breast cancer: a cosegregation and bioinformatics analysis

Inherited mutations in the CHEK2 gene have been associated with an increased lifetime risk of developing breast cancer (BC). We aim to identify in the study population the prevalence of mutations in the CHEK2 gene in diagnosed BC patients, evaluate the phenotypic characteristics of the tumor and family history, and predict the deleteriousness of the variants of uncertain significance (VUS). A genetic study was performed, from May 2016 to April 2020, in 396 patients diagnosed with BC at the University Hospital Lozano Blesa of Zaragoza, Spain. Patients with a genetic variant in the CHEK2 gene were selected for the study. We performed a descriptive analysis of the clinical variables, a bibliographic review of the variants, and a cosegregation study when possible. Moreover, an in-depth bioinformatics analysis of CHEK2 VUS was carried out. We identified nine genetic variants in the CHEK2 gene in 10 patients (two pathogenic variants and seven VUS). This supposes a prevalence of 0.75% and 1.77%, respectively. In all cases, there was a family history of BC in first- and/or second-degree relatives. We carried out a cosegregation study in two families, being positive in one of them. The bioinformatics analyses predicted the pathogenicity of six of the VUS. In conclusion, CHEK2 mutations have been associated with an increased risk for BC. This risk is well-established for foundation variants. However, the risk assessment for other variants is unclear. The incorporation of bioinformatics analysis provided supporting evidence of the pathogenicity of VUS.
Influence of Education, Cognition, and Physical Disability on Quality of Life of Romanian Patients with Multiple Sclerosis—A Cohort Study

Background and Objectives: objective measures of disability and neurological impairmentare used to search for disease activity and monitor disease evolution in multiple sclerosis (MS). These are sometimes in disagreement with subjective quality-of-life measures. We aimed to establish the relations between the Multiple Sclerosis Quality of Life instrument (MSQOL-54) and objective measures of neurological impairment. Materials and Methods: 107 patients with MS were evaluated with the Single Digit Modalities Test (SDMT) for cognition, Nine Holes Peg Test (9HPT) for upper limb function, 25 Feet Walk Test (25FWT) for gait, and EDSS for global disability in a cohort study. Age and education level were recorded as sociodemographic factors. Results: the median EDSS was 3.5 (IQR 2.5); average SDMT score was 30.38 ± 13.54; and 9HPT speed was significantly higher for the dominant upper limb (0.3 ± 0.1 pegs/s versus 0.28 ± 0.11 pegs/s) (p = 0.016). The mental health composite score of the MSQOL-54 correlated with the SDMT, education level, and EDSS. Education level correlated with cognition and quality of life. The physical health composite score of the MSQOL-54 correlated with motor-function parameters and with SDMT. The motor-function parameters correlated well among themselves. A linear regression model found an important influence of SDMT and education level on the mental health composite score of the MSQOL-54. Although the linear regression model predicting the physical health composite score from physical disability parameters was statistically sound, none of the determinants had a significant individual influence. Conclusions: the subscores of the MSQOL-54 correlated well with the objective parameters. The strongest correlations were those with the cognitive function. Correlations with physical disability were less powerful, probably reflecting their indirect and more limited influence on quality of life compared to cognition and perception of disability.
Fluctuation-dissipation and correlation-propagation relations from the nonequilibrium dynamics of detector-quantum field systems

We consider $N$ uniformly-accelerating Unruh-DeWitt detectors whose internal degrees of freedom are coupled to a massless scalar field in $(1+1)$D Minkowski space. We use the influence functional formalism to derive the Langevin equations governing the nonequilibrium dynamics of the internal degrees of freedom and show explicitly that the system relaxes in time and equilibrates. We also show that once the equilibrium condition is established a set of fluctuation-dissipation relations (FDR) and correlation-propagation relations (CPR) emerges for the detectors, extending earlier results of [1] which discovered these relations for the quantum field. Although similar in form to the FDRs commonly known from linear response theory, which assumes an equilibrium condition a priori, their physical connotations are dissimilar from that of a nonequilibrium origin. We show explicitly that both sets of relations are needed to guarantee the balance of energy flow in and out of the system in dynamical equilibrium with the field. These results are helpful to investigations of quantum information and communications of detectors in space experiments and inquiries of theoretical issues in black holes and cosmology.
The Mirković–Vilonen basis and Duistermaat–Heckman measures

Using the geometric Satake correspondence, the Mirkovic-Vilonen cycles in the affine Grasssmannian give bases for representations of a semisimple group G . We prove that these bases are "perfect", i.e. compatible with the action of the Chevelley generators of the positive half of the Lie algebra g. We compute this action in terms of intersection multiplicities in the affine Grassmannian. We prove that these bases stitch together to a basis for the algebra C[N] of regular functions on the unipotent subgroup. We compute the multiplication in this MV basis using intersection multiplicities in the Beilinson-Drinfeld Grassmannian, thus proving a conjecture of Anderson. In the third part of the paper, we define a map from C[N] to a convolution algebra of measures on the dual of the Cartan subalgebra of g. We characterize this map using the universal centralizer space of G. We prove that the measure associated to an MV basis element equals the Duistermaat-Heckman measure of the corresponding MV cycle. This leads to a proof of a conjecture of Muthiah. Finally, we use the map to measures to compare the MV basis and Lusztig's dual semicanonical basis. We formulate conjectures relating the algebraic invariants of preprojective algebra modules (which underlie the dual semicanonical basis) and geometric invariants of MV cycles. In the appendix, we use these ideas to prove that the MV basis and the dual semicanonical basis do not coincide in SL_6.
Semiconductor Materials: An Introduction to Basic Principles

1. Introduction. 2. Interatomic Bonding, Crystal Structure, and Defects in Solids. 3. Band Theory of Solids. 4. Basic Properties of Semiconductors. 5. Applications of Semiconductors. 6. Types of Semiconductors. 7. Characterization of Semiconductors. Appendices. Bibliography. Subject Index.
Characterization of Spatial and Temporal Evolution of Study Tour Bases in Zhejiang Province

The purpose of this paper is to study the spatial and temporal evolution characteristics of study travel bases in Zhejiang Province in the past decade, with a view to providing useful references for the development of study travel. First, the number, distribution and changes of study and learning travel bases in Zhejiang Province were sorted out by collecting and analyzing relevant data. Secondly, the spatial distribution and evolutionary trend of study tour bases are visualized using geographic information system (GIS) technology, and the spatial evolutionary characteristics of the distribution of study tour bases are summarized. Finally, the main factors affecting the spatial and temporal evolution characteristics of study and learning travel bases are discussed in the context of the actual situation, including tourism resources, traveler reception capacity, and socio-economic conditions. The study found that: 1) overall number growth of study and learning travel bases in Zhejiang Province from 2013 to 2023 can be divided into three stages. 2) There are obvious differences in the development of study and research travel bases between regions, Hangzhou has been in a dominant position, Ningbo and Wenzhou are developing rapidly, and the development of Huzhou, Jinhua and Lishui is relatively stable. 3)Zhejiang research and study travel bases are evolving towards the agglomeration form and are further strengthening. 4)Zhejiang research and study travel bases have shown a gradual change from scattered "patchy" to "patchy". 5)spatial pattern of the distribution of study and travel bases shows a north-south direction, and its center of gravity is relatively stable.
Exploring Consumers’ Perception of Farm Animal Welfare in Muar, Johor

The concept of animal welfare has been in existence since the early 1950s, and the Animal Welfare Act of Malaysia was officially established in 2015. Farm animal welfare (FAW) pertains to the imperative for farmers to establish habitats that enable animals to manifest their innate behaviors. Consumer perception encompasses the way individuals perceive various aspects of animal welfare, including variations in perception among species and nations, the impact of animal-friendly branding, and the extent to which consumers are ready to pay more for food produced from animals maintained under improved welfare conditions. In Malaysia, customers exhibit limited concern for farm animal welfare and possess insufficient awareness regarding the treatment of animals bred for food. The objective of this study was to establish the correlation between customers' impressions of farm animal welfare and their attitudes, knowledge, preferences for welfare-friendly products, and socio-demographic factors. This study categorized attitude, knowledge, welfare-friendly items, and socio-demographic parameters as independent variables, while customers' perception was considered the dependent variable. This study employed a simple random sampling method, selecting 100 participants in Muar, Johor. Data was gathered by distributing a survey questionnaire to consumers in Muar, Johor. The data is analyzed using SPSS, which provides outputs for descriptive and regression analyses. The results indicated that consumers' evaluations of farm animal care were highly influenced by their attitudes and level of knowledge. The findings indicated that residents in Muar, Johor lack awareness and knowledge concerning the well-being of livestock. Hence, it was imperative for consumers and students to grasp the concept of farm animal welfare in order to understand the manner in which animals were handled for the purpose of food production.