Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical Observation of Computer Vision Technology Combined with Music Therapy in the Treatment of Alzheimer's Disease

With the world's population aging, Alzheimer's disease has attracted more and more attention as a common elderly disease. The clinical manifestations of cognitive function decline in Alzheimer's disease are mainly memory decline, which will seriously damage the patient's sense of self-worth. The purpose is to use the method of song recall to conduct individual music therapy intervention for Alzheimer's disease patients, to help Alzheimer's disease patients activate autobiographical memory, trigger positive emotions, improve behavioral symptoms, and delay the development of the disease. This paper proposes to combine computer vision technology with music therapy to obtain relevant data before and after intervention through the literature method, measurement method, case study method and experimental method. It helps AD patients to improve and slow down the forgetting and confusion of autobiographical memory, thereby enhancing the mood and cognition of AD patients. It observes the changes of AD patients before and after intervention by song recall and provides new ideas and practical basis for the application of music therapy in the field of Alzheimer's disease research. The experimental results showed that the subjects' autobiographical memory test (AMT) after 16 sessions of music therapy, from 12 points before the test to 14 points after the test. The scores were significantly positively correlated, and the improvement of autobiographical memory could improve the patient's orientation and memory.
Efficient T Cell Migration and Activation Require L-Plastin

Rapid re-organization of the actin cytoskeleton supports T-cell trafficking towards immune sites and interaction with antigen presenting cells (APCs). F-actin rearrangement enables T-cell trafficking by stabilizing adhesion to vascular endothelial cells and promoting transendothelial migration. T-cell/APC immune synapse (IS) maturation also relies upon f-actin-anchored LFA-1:ICAM-1 ligation. Therefore, efficient T-cell responses require tight regulation of f-actin dynamics. In this review, we summarize how the actin-bundling protein L-plastin (LPL) regulates T-cell activation and migration. LPL enhances f-actin polymerization and also directly binds to the β2 chain of the integrin LFA-1 to support intercellular adhesion and IS formation in human and murine T cells. LPL- deficient T cells migrate slowly in response to chemo-attractants such as CXCL12, CCL19, and poorly polarize towards ICAM-1. Loss of LPL impairs thymic egress and intranodal motility. LPL is also required for T-cell IS maturation with APCs, and therefore for efficient cytokine production and proliferation. LPL-/- mice are less susceptible to T-cell mediated pathologies, such as allograft rejection and experimental autoimmune encephalomyelitis (EAE). LPL activity is regulated by its N-terminal “headpiece”, which contains serine and threonine phosphorylation and calcium- and calmodulin-binding sites. LPL phosphorylation is required for lamellipodia formation during adhesion and migration, and also for LFA-1 clustering during IS formation. However, the precise molecular interactions by which LPL supports T-cell functional responses remain unclear. Future studies elucidating LPL-mediated regulation of T-cell migration and/or activation may illuminate pathways for therapeutic targeting in T-cell-mediated diseases.
Determination of Corporate Action Announcement and Market Reaction

This study aims to determine the effect of market reaction in corporate action announcements on stock prices and stock liquidity. This study uses qualitative methods and literature research with reference to the latest journals published by scholars and examines literature books based on the theories discussed, especially in the context of financial management. The results of this study will build a research hypothesis which will be developed in further research by the author. The findings of this study will be continued with data collection and hypothesis testing. Stock data will be taken on stocks listed on the Indonesia Stock Exchange using a purposive sample selection method. It is planned that this study will test the hypothesis using SEM AMOS software version 24 and SPSS Versti 26 to process and screen data. Research will have an impact on increasing understanding for investors who will invest in the Indonesia Stock Exchange.
It’s a Long Way to the Tap: Microbiome and DNA-Based Omics at the Core of Drinking Water Quality

Microbial communities interact with us and affect our health in ways that are only beginning to be understood. Microorganisms have been detected in every ecosystem on Earth, as well as in any built environment that has been investigated. Drinking water sources, drinking water treatment plants and distribution systems provide peculiar microbial ecological niches, dismantling the belief of the “biological simplicity” of drinking water. Nevertheless, drinking water microbiomes are understudied compared to other microbiomes. Recent DNA sequencing and meta-omics advancements allow a deeper understanding of drinking water microbiota. Thus, moving beyond the limits of day-to-day testing for specific pathogenic microbes, new approaches aim at predicting microbiome changes driven by disturbances at the macro-scale and overtime. This will foster an effective and proactive management of water sources, improving the drinking water supply system and the monitoring activities to lower public health risk. Here, we want to give a new angle on drinking water microbiome research. Starting from a selection of 231 scientific publications on this topic, we emphasize the value of biodiversity in drinking water ecosystems and how it can be related with industrialization. We then discuss how microbiome research can support sustainable drinking water management, encouraging collaborations across sectors and involving the society through responsible research and innovation.
Chronic Intermittent Hypoxia Increases Cell Proliferation in Hepatocellular Carcinoma

Obstructive sleep apnea (OSA) syndrome is characterized by chronic intermittent hypoxia and is associated with an increased risk of all-cause mortality, including cancer mortality. Hepatocellular carcinoma (HCC) is the most common type of liver cancer, characterized by increasing incidence and high mortality. However, the link between HCC and OSA-related chronic intermittent hypoxia remains unclear. Herein, we used a diethylnitrosamine (DEN)-induced HCC model to investigate whether OSA-related chronic intermittent hypoxia has an impact on HCC progression. To elucidate the associated mechanisms, we first evaluated the hypoxia status in the DEN-induced HCC model. Next, to simulate OSA-related intermittent hypoxia, we exposed cirrhotic rats with HCC to intermittent hypoxia during six weeks. We performed histopathological, immunohistochemical, RT-qPCR, and RNA-seq analysis. Chronic DEN injections strongly promoted cell proliferation, fibrosis, disorganized vasculature, and hypoxia in liver tissue, which mimics the usual events observed during human HCC development. Intermittent hypoxia further increased cell proliferation in DEN-induced HCC, which may contribute to an increased risk of HCC progression. In conclusion, our observations suggest that chronic intermittent hypoxia may be a factor worsening the prognosis of HCC.
Survival Outcomes and Prognostic Factors in Glioblastoma

Simple Summary Glioblastoma is the most common tumour that originates in the brain in adults. Most of the published data on glioblastoma are from patients in clinical trials who tend to be younger and fitter than the average patient. We therefore looked at patient demographic, tumour characteristics, and treatments received in a group of 490 real-world patients with glioblastoma to evaluate their survival, and to investigate whether we could find any factors that were associated with longer survival. Overall, the average survival of patients was 9 months. Patients tended to live longer if they were younger, had surgery, if they had further treatment after surgery (chemo- or radio-therapy), or if they had a tumour marker called MGMT promotor methylation. Abstract Background: IDH-wildtype glioblastoma is the most common malignant primary brain tumour in adults. As there is limited information on prognostic factors outside of clinical trials; thus, we conducted a retrospective study to characterise the glioblastoma population at our centre. Methods: Demographic, tumour molecular profiles, treatment, and survival data were collated for patients diagnosed with glioblastoma at our centre between July 2011 and December 2015. We used multivariate proportional hazard model associations with survival. Results: 490 patients were included; 60% had debulking surgery and 40% biopsy only. Subsequently, 56% had standard chemoradiotherapy, 25% had non-standard chemo/radio-therapy, and 19% had no further treatment. Overall survival was 9.2 months. In the multivariate analysis, longer survival was associated with debulking surgery vs. biopsy alone (14.9 vs. 8 months) (HR 0.54 [95% CI 0.41–0.70]), subsequent treatment after diagnosis (HR 0.12 [0.08–0.16]) (standard chemoradiotherapy [16.9 months] vs. non-standard regimens [9.2 months] vs. none [2.0 months]), tumour MGMT promotor methylation (HR 0.71 [0.58–0.87]), and younger age (hazard ratio vs. age < 50: 1.70 [1.26–2.30] for ages 50–59; 3.53 [2.65–4.70] for ages 60–69; 4.82 [3.54–6.56] for ages 70+). Conclusions: The median survival for patients with glioblastoma is less than a year. Younger age, debulking surgery, treatment with chemoradiotherapy, and MGMT promotor methylation are independently associated with longer survival.
canopy, Evaluation of Trichoderma asperellum Effect toward Anthracnose Pathogen Activity on Red Chili ( Capsicum annum L.) As Ecofriendly

 Abstract —The use of synthetic pesticides has been widely practiced by farmers to control plant diseases. However, it can promote negative impacts such as environmental pollution, threatening human health, and making pathogens more resistant. This study aims to determine the inhibition of Trichoderma Tc-Jjr-02 in vitro against Colletotrichum sp. and test its ability as a biopesticide and biofertilizer agent in suppressing the growth of anthracnose disease and chili production. The results show that, there was no interaction effect between the application of Trichoderma Tc-Jjr-02 as a biopesticide and biofertilizer agent. The in vitro test reveals that Trichoderma Tc-Jjr-02 could inhibit the growth of pathogenic colonies up to 61.4% at 11 days after inoculation. In vivo test show, that application of Trichoderma 6 hours before inoculation of pathogens (T1) and Trichoderma inoculation concurrent pathogens (T3) can reduce the symptoms intensity of anthracnose attacks 70% and 43%, respectively, then increasing the number of fresh fruit 62.66% and 76.58%, respectively, also increasing fresh fruit weights 84.83% and 91.90% respectively, compared with the pathogen inoculation treatment six hours before the application of Trichoderma . Thus, Trichoderma is more effective when applied before inoculation of pathogens and more suitable as a prevention agent. Using Trichoderma asperellum as biopesticed can protect the
High-Energy Phosphates and Ischemic Heart Disease: From Bench to Bedside

The purpose of this review is to bridge the gap between clinical and basic research through providing a comprehensive and concise description of the cellular and molecular aspects of cardioprotective mechanisms and a critical evaluation of the clinical evidence of high-energy phosphates (HEPs) in ischemic heart disease (IHD). According to the well-documented physiological, pathophysiological and pharmacological properties of HEPs, exogenous creatine phosphate (CrP) may be considered as an ideal metabolic regulator. It plays cardioprotection roles from upstream to downstream of myocardial ischemia through multiple complex mechanisms, including but not limited to replenishment of cellular energy. Although exogenous CrP administration has not been shown to improve long-term survival, the beneficial effects on multiple secondary but important outcomes and short-term survival are concordant with its pathophysiological and pharmacological effects. There is urgent need for high-quality multicentre RCTs to confirm long-term survival improvement in the future.
A Japanese Dataset for Subjective and Objective Sentiment Polarity Classification in Micro Blog Domain

We annotate 35,000 SNS posts with both the writer’s subjective sentiment polarity labels and the reader’s objective ones to construct a Japanese sentiment analysis dataset. Our dataset includes intensity labels (none, weak, medium, and strong) for each of the eight basic emotions by Plutchik (joy, sadness, anticipation, surprise, anger, fear, disgust, and trust) as well as sentiment polarity labels (strong positive, positive, neutral, negative, and strong negative). Previous studies on emotion analysis have studied the analysis of basic emotions and sentiment polarity independently. In other words, there are few corpora that are annotated with both basic emotions and sentiment polarity. Our dataset is the first large-scale corpus to annotate both of these emotion labels, and from both the writer’s and reader’s perspectives. In this paper, we analyze the relationship between basic emotion intensity and sentiment polarity on our dataset and report the results of benchmarking sentiment polarity classification.
Brain Refrain and Human Capital Formation in Spain

We examine how low and high skilled internal emigration causally affect investments in human capital at origin. We provide theoretical and empirical evidence of a disincentive mechanism through which individuals refrain from education should low skilled emigration prove a viable alternative. Our identification strategy leverages administrative records of labor contracts of differing skills signed at migrants’ provincial destinations. We document large Brain Gain and Brain Refrain effects. Our results paradoxically demonstrate an improvement in human capital given the trajectory of the Spanish labor market over our sample period. When juxtaposed against provinces’ net human capital positions however, most provinces lose.
education policy analysis archives Policies of Quality and Autonomy in Times of Economic Crisis: Governing the Sector of Early Childhood Education and Care 1

: This study focuses on the debate surrounding global policies and practices related to the sector of Early Childhood Education and Care (ECEC), utilizing the Greek policy context as an example. Drawing on the critical education policy studies literature, this paper interrogates the complex concepts of quality and autonomy, which are core in the global agenda. We do this by exploring how the international and national austerity measures, imposed in many countries – and especially in Greece, marked by a devastating economic crisis in the last decade – have affected their re-interpretation and translation. Our empirical data suggest that municipal ECEC directors, interviewed in the context of our research, hold diverse views on quality, raising issues of inequality, limited participation and low attainment. The study generates reflections, suggesting that the idea of autonomy has been systematically associated with Greece’s economic struggles and therefore understood and re-interpreted by the participants in a constrained way that limits their action. The way these notions are re-contextualized at the municipal level, and the consequences for ECEC provision, pose as key issues of this research. Dr. Panagiotis Kalogerakis is a researcher at the Labour Institute of the Greek General Confederation of Labour (INE GSEE), Greece. He holds a PhD in education policy and sociology of education, and focuses his research on the role of international and supranational organizations in governing the global policy space of lifelong learning. In his research projects he is interested in analysing how policy tools such as comparisons, quality toolboxes and funding mechanisms of education, in the form of individual learning schemes, shape transnational governance. In that direction, he explores the recontextualizations and enactments of European/ global lifelong learning policies in the national context. Anna Tsatsaroni is professor emerita sociology education in of Social and Educational Policy of the Peloponnese, Greece. She focuses her research on educational knowledge, its unequal distribution and its role in processes of identity formation. Her publications appear in a range of international journals, contributing critical approaches to education policy and research. Recent publications include the co-authored articles: “ European Education Policy Initiatives and Teacher Education Curriculum Reforms in Greece ” ( Education Inquiry , 2015); “Students’ Educational Choices in Contemporary Societies: Thinking Flexibility, Rethinking Boundaries ” ( European Educational Research Journal , 2018); “ How Does Research Performativity and Selectivity Impact on the Non-core Regions of Europe? The Case for a New Research Agenda ” ( Higher Education , 2021); and the co-authored chapter “ Global Agenda on Knowledge and Governance and Language Literacy Practices in Secondary Education in Greece (in the Collected Volume Educational Standardisation in a Complex World , Emerald, 2022).
Involutions of Shifts of Finite Type: Fixed Point Shifts, Orbit Quotients, and the Dimension Representation

Title of dissertation: Involutions of Shifts of Finite Type: Fixed Point Shifts, Orbit Quotients, and the Dimension Representation Nicholas Long, Doctor of Philosophy, 2008 Dissertation directed by: Professor M. Michael Boyle Department of Mathematics This thesis addresses several questions in symbolic dynamics. These involve the image of the dimension representation of a shift of finite type (SFT), the fixed point shifts of involutions of SFTs, and the conjugacy classes of orbit quotients of involutions of SFTs. We present the first class of examples of mixing SFTs for which the dimension representation is surjective necessarily using nonelementary conjugacies. Given a mixing shift of finite type X , we consider what subshifts of finite type Y ⊂X can be realized as the fixed point shift of an inert involution. We establish a condition on the periodic points of X and Y that is necessary for Y to be the fixed point shift of an inert involution of X . If X is the 2-shift, we show that this condition is sufficient to realize Y as the fixed point shift of an involution, up to shift equivalence on X . Given an involution f on X , we characterize what f -invariant subshifts can be realized as the fixed point shift of an involution. Given a prime p, we classify the conjugacy classes of quotients of 1-sided mixing SFTs which admit free Z/p actions. Finally, given p prime, and XA a 1-sided mixing SFT, we classify the topological dynamical systems which arise as the orbit quotient systems for a free Z/p action on XA.
A SINGULAR INTEGRAL EQUATION WITH A GENERALIZED MITTAG LEFFLER FUNCTION IN THE KERNEL

is an entire function of order $({\rm Re}\alpha)^{-1}$ and contains several well-known special functions as particular cases. We define a linear operator $\mathfrak{C}(\alpha, \beta;\rho;\lambda)$ on a space $L$ of functions by the integral in (1.2) and employ an operator of fractional integration $I^{\mu}$ : $L\rightarrow L$ to prove results on $\mathfrak{C}(\alpha, \beta;\rho;\lambda)$ ; these results are subsequently used to discuss theorems on the solutions of (1.2). The technique used can be apPlied to obtain analogous results on the integral equation
Enhancing Deep Learning with Embedded Features for Arabic Named Entity Recognition

The introduction of word embedding models has remarkably changed many Natural Language Processing tasks. Word embeddings can automatically capture the semantics of words and other hidden features. Nonetheless, the Arabic language is highly complex, which results in the loss of important information. This paper uses Madamira, an external knowledge source, to generate additional word features. We evaluate the utility of adding these features to conventional word and character embeddings to perform the Named Entity Recognition (NER) task on Modern Standard Arabic (MSA). Our NER model is implemented using Bidirectional Long Short Term Memory and Conditional Random Fields (BiLSTM-CRF). We add morphological and syntactical features to different word embeddings to train the model. The added features improve the performance by different values depending on the used embedding model. The best performance is achieved by using Bert embeddings. Moreover, our best model outperforms the previous systems to the best of our knowledge.
Rethinking De-Westernization in Communication Studies: The Ibero-American Movement in International Publishing

This study joins the emerging de-Westernization discourse within communication studies and empirically compares the diversity of Ibero-American, Western, and regional journals at three different levels: authorship, editorial board membership, and citations. Our findings show that through low geopolitical diversity and high regional shares in authorship, editorial board membership, and citations, the Ibero-American region uses its structural, linguistic, and cultural resources to offer an alternative universe to mainstream English-based communication research. The article argues that the process of trailblazing the pathways to de-Westernizing communication scholarship is best accomplished when it is actively led by peripheral regions.