Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancer of Zeste Homolog 2 (EZH2) Is a Marker of High-Grade Neuroendocrine Neoplasia in Gastroenteropancreatic and Pulmonary Tract and Predicts Poor Prognosis

Simple Summary Neuroendocrine neoplasms most frequently arise in the gastroenteropancreatic and pulmonary tract and show an increasing incidence and prevalence. The prognosis and treatment depend on tumor proliferation and clinical behavior. Highly proliferating grade 3 neoplasms especially, show a wildly divergent therapy response and prognosis. In particular, it is crucial to securely separate the more indolent G3 tumors from the more aggressive carcinomas. Currently, this distinction is based on a combination of clinical, morphologic, immunohistochemical, and molecular biomarkers. However, none of these markers allow for a reliable distinction, and additional markers are needed. EZH2 has attracted increasing interest in different tumor entities. We aimed to analyze the expression of EZH2 in different neuroendocrine neoplasms and to correlate the expression with clinical parameters and survival. We demonstrate that EZH2 is nearly exclusively expressed in highly proliferative neoplasms and is a robust biomarker for identifying aggressive G3 tumors with poor prognosis. Abstract Tumor grading is a robust prognostic predictor in patients with neuroendocrine neoplasms (NEN) and guides therapy, especially in tumors with high proliferation. NEN can be separated into well-differentiated and poorly differentiated types. The more aggressive NEN have been further separated into neuroendocrine tumors (NET G3) with a better prognosis and neuroendocrine carcinomas (NEC) with a worse prognosis. Despite this distinction’s tremendous clinical and therapeutic relevance, optimal diagnostic biomarkers are still lacking. In this study, we analyzed the protein expression and prognostic impact of Enhancer of Zeste Homolog 2 (EZH2) by immunohistochemistry in 219 tissue samples of gastroenteropancreatic (GEP-NEN) and pulmonary NEN (P-NEN). EZH2 was almost exclusively expressed in NEN with a proliferation rate above 20% (G3), while all low-grade tumors were nearly negative. Among high-grade NEN, 65% showed high and 35% low expression of EZH2. In this group, the high expression of EZH2 was significantly associated with poor overall survival and NEC histology. Interestingly, EZH2 seems to act independently of Polycomb Repressive Complex 2 (PRC2) in NEN. In conclusion, we propose EZH2 as a robust biomarker for distinguishing between NET G3 and NEC among gastroenteropancreatic and pulmonary NEN.
The Role of Preoperative Neutrophil, Platelet, and Monocyte to Lymphocyte Ratios as Independent Prognostic Factors for Patient Survival in WHO 2021 Glioblastoma: A Single-Center Retrospective Study

Introductions Immuno-oncology is a rapidly developing field wherein tumor-immune system interactions can be harnessed for diagnostics. Herein, we set out to establish the role of the immune system response, as measured by preoperative neutrophil, platelet, and monocyte to lymphocyte ratios (NLR, PLR, and MLR) as prognostic markers for patient survival based on the newly defined criteria for glioblastoma (GBM). Materials and methods The study included patients diagnosed with GBM at a four-year interval. Exclusion criteria were patients subject to reoperation in the time period; tumors in more than one system; a history of hematological and autoimmune diseases; and cases with infectious or other inflammatory conditions. Data regarding patient demographics and preoperative blood counts were pulled from patient records and compared to postoperative survival. Results A total of 22 patients fit the established criteria, with a male to female ratio of 2.14:1, a mean age of 66.23 years, and a mean survival of 255.72 days (8.04 months, range 24-801 days). Eight patients had an elevation of NLR and five of PLR, with no statistical correlation to survival. Six patients had an increase in MLR with a statistically significant (p=0.0044) shorter postoperative survival. Synergic increases in NLR and PLR did not show significance, while synergic increases with MLR showed no added benefit. Conclusion Preoperative MLR, but not NLR or PLR, is a promising independent biomarker for patient survival in GBM. It is suggested that elevations in these ratios directly correlate to tumor biological potential.
Going Digital: Consequences of Increasing Resolution of a Wargaming Tool for Knowledge Elicitation

Wargaming is used to facilitate Knowledge Elicitation (KE) during design thinking events for the development of advanced concepts. These wargaming sessions follow brainstorming and consensus building exercises where diverse teams of end users and technical personnel enumerate and vote on innovative features to develop into new systems, or for innovative means to leverage and exploit existing technologies. A tabletop, turn-based board game was used to conduct these wargaming sessions for vetting concepts; however, the time required to execute and evaluate (process) each turn led to the development of a digital version of the game where the mechanics of moving certain game pieces was automated. Although increasing technology levels of tools and processes is generally viewed as an upgrade, unintended consequences of introducing technologies into systems can and do occur. An assessment was performed to empirically assess the effectiveness of the digital version of the simulator. User perceptions were captured with a questionnaire, and user behaviors with the tool were captured through observational methods. The digital wargaming platform succeeded in reducing the amount of time dedicated to process each turn of gameplay; however, there was no observed gain in perceived utility of the new digital tool, nor any observed increase in the quality or quantity of KE. Future research efforts will aim to empirically measure the quantity and quality of discussion during gameplay.
Embodied Collective Choreographies: Listening to Arena Nightclub’s Jotería Sonic Memories

Merging sound studies, performance studies, and jotería studies, this essay documents sonic moments and memories of 1990s Los Angeles at Arena, a nightclub frequented by queer Latinx youth. Building on Alexandra Vasquez's "listening in detail" and Karen Tongson's "queerly listening," the author argues that jotería listening is an auditory practice and methodology employed by queer Latinx communities engaged in world-making strategies. Through jotería listening, we are able to hear sonic memories of Arena, which map moments of collectivity, community building, experimentation and resistance against hostilities encountered by jotería youth in LA in the 1990s. Highlighting three soundmarks or recognizable sounds—whistles, foot-stomping, and clapping—and their meanings, this essay maps corporeal and embodied performances of self and community as it documents critical moments in jotería histories of nightlife in Los Angeles.
CRISPR/Cas9 Technique for Temperature, Drought, and Salinity Stress Responses

Global warming and climate change have severely affected plant growth and food production. Therefore, minimizing these effects is required for sustainable crop yields. Understanding the molecular mechanisms in response to abiotic stresses and improving agricultural traits to make crops tolerant to abiotic stresses have been going on unceasingly. To generate desirable varieties of crops, traditional and molecular breeding techniques have been tried, but both approaches are time-consuming. Clustered regularly interspaced short palindromic repeat/Cas9 (CRISPR/Cas9) and transcription activator-like effector nucleases (TALENs) are genome-editing technologies that have recently attracted the attention of plant breeders for genetic modification. These technologies are powerful tools in the basic and applied sciences for understanding gene function, as well as in the field of crop breeding. In this review, we focus on the application of genome-editing systems in plants to understand gene function in response to abiotic stresses and to improve tolerance to abiotic stresses, such as temperature, drought, and salinity stresses.
Decomposing Ethnic Achievement Gaps across Multiple Levels of Analysis and for Multiple Ethnic Groups

Ethnic achievement gaps are often explained in terms of student and school factors. The decomposition of these gaps into their within- and between-school components has therefore been applied as a strategy to quantify the overall influence of each set of factors. Three competing approaches have previously been proposed, but each is limited to the study of student-school decompositions of the gap between two ethnic groups (e.g., White and Black). The authors show that these approaches can be reformulated as mediation models facilitating new extensions to allow additional levels in the school system (e.g., classrooms, school districts, geographic areas) and multiple ethnic groups (e.g., White, Black, Hispanic, Asian). The authors illustrate these extensions using administrative data for high school students in Colombia and highlight the increased substantive insights and nuanced policy implications they afford.
Diagnostic tools for rapid detection and quantification of <i><fc>W</fc>eissella ceti </i><fc>NC</fc>36 infections in rainbow trout

Significance and Impact of the Study: Weissellosis is a rapidly emerging infectious disease of farmed rainbow trout caused by Weissella ceti, a Gram-positive lactic-acid bacterium. This disease can cause significant economic loss, and thus, efforts to limit its spread are urgently needed and are dependent on the development of diagnostic tools. The article presents the development of PCR-based diagnostic assays for the rapid identification of W. ceti and for quantification of pathogen load directly from tissues without the need for bacterial amplification or isolation. These tools are critical for rapid confirmation of Weissellosis diagnosis and for studying the epidemiology of this emerging pathogen.
Phorbol Ester and Serum

The synthesis of ribosomes is an essential cellular process which requires the transcription of the rRNA genes by RNA polymerase I (Pol I). The regulation of rRNA synthesis is known to be coupled to growth regulation. In nongrowing, slowly growing, and rapidly growing Drosophila cells, exposure to the tumor-promoting phorbol ester 12-0-tetradecanoylphorbol-13-acetate (TPA) increases the synthesis of precursor and mature rRNAs. Using nuclear run-on assays, we show that TPA enhances transcription of the rRNA genes. These results suggest that TPA regulates expression of rRNA genes transcribed by Pol I, irrespective of the growth state of the cells. In slowly dividing Drosophila cells, increasing the serum concentration rapidly alters the accumulation of rRNA by enhancing rDNA transcription within 1 h. Thus, TPA and serum are each able to rapidly regulate rRNA gene expression in Drosophila cells. These results indicate that the RNA Pol I transcription system can be regulated by agents which have previously been shown to effect specific genes transcribed by the RNA Pol II system.
Genome-wide identi � cation , characterization , and expression analysis of tea plant autophagy-related genes ( CsARGs ) demonstrates that they play diverse roles during development and under abiotic stress

Huan Wang Qingdao Agricultural University ZhaoTang Ding Qingdao Agricultural University Mengjie Gou Qingdao Agricultural University Jianhui Hu Qingdao Agricultural University Yu Wang Qingdao Agricultural University Lu Wang Chinese Academy of Agricultural Sciences Tea Research Institute Yuchun Wang Zhejiang A and F University Taimei Di Chinese Academy of Agricultural Sciences Tea Research Institute Xinfu Zhang Qingdao Agricultural University Xinyuan Hao Chinese Academy of Agricultural Sciences Tea Research Institute Xinchao Wang Chinese Academy of Agricultural Sciences Tea Research Institute Yajun Yang Chinese Academy of Agricultural Sciences Tea Research Institute Wenjun Qian (  qau-wenjunqian@qau.edu.cn ) Qingdao Agricultural University https://orcid.org/0000-0003-0530-361X
Land and

: Land use regulations often delay residential development processes and increase the development costs, although they contribute to addressing market failures and realizing a well-organized urban spatial structure. Raising barriers to development can prevent households from moving in response to either job relocations or job growth at certain locations in a timely manner through restrictions in the local housing supply. This situation may also result in longer commuting distances, times, and costs, as well as greater spatial mismatches. To examine the possible adverse effects of the regulations, this study analyzes how intraregional population– employment interactions vary across metropolitan areas that substantially differ in the restrictiveness of land use regulations. First, an exploratory correlation analysis of 40 large U.S. metropolitan areas reveals that highly regulated regions, particularly those with lengthy approval processes, are likely to show a lower correlation between census tract-level population and employment changes and an increase in mean commuting time between 1990 and 2000. Secondly, regression analysis suggests that the lower correlation in highly regulated metropolitan areas could be attributed to the limited responsiveness of the population to employment redistribution within the regions.
OTT_A_269767 11221..11235

Department of Otolaryngology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, People’s Republic of China Purpose: The alteration of tumor immunity after radiotherapy (RT) has been widely studied in recent years. However, the mechanism through which RT mediates tumor immunity and the involvement of glycolysis in this mediation in hypopharyngeal cancer remain unclear. This study investigated whether RT regulates programmed cell death ligand 1(PD-L1) partly via glucose transporter 1(GLUT-1) expression and whether PD-L1 expression predicts overall survival (OS) in patients with hypopharyngeal cancer. Methods: The expression of PD-L1 and Glut-1, and the numbers of CD4+, CD8+ T cells were detected by immunohistochemical analysis on 47 pre-RT and 25 post-RT specimens of hypopharyngeal cancer. Changes in these indicators before and after RT were compared, and their association with the OS of patients was analyzed. Moreover, we used siRNA-GLUT-1 to inhibit GLUT-1 expression and examined whether GLUT-1 was a key factor involved in the mediation of PD-L1 expression by RT in vitro. Results: In the multivariate analysis, patients with higher PD-L1 expression (p=0.037), higher CD4+ T cell infiltration (p=0.016) and earlier clinical stage (p=0.019) had favourable OS. The expression of PD-L1, and the CD4+ and CD8+ T cells was markedly increased following RT. PD-L1 expression was correlated with Glut-1 pre-RT (p=0.002), but not after RT (p=0.051). The expression of PD-L1 in FaDu cells was upregulated after RT, especially at 96h after RT in vitro. However, the expression of PD-L1 in siRNA-GLUT-1 FaDu cells was markedly decreased at 96h after RT compared with that measured in FaDu cells. Conclusion: Patients with high PD-L1 expression and CD4+ T cell infiltration may have favourable OS in hypopharyngeal cancer. RT may increase PD-L1 expression and alter tumor immunity. The expression of PD-L1 was correlated with Glut-1, and inhibition of GLUT-1 expression may decrease the expression of PD-L1. GLUT-1 may participate in the alteration of tumor immunity after RT.
Species composition and distribution of Medusae (Cnidaria: in the Algerian coast

The species composition, abundance and distribution of the medusa community along the Algerian coast (between 2°E and 7°E) were investigated during the autumn of 2014. Zooplankton sampling was performed in the upper layer (0-100 m) at 14 stations. Fourteen species of hydromedusae and scyphomedusae were identified. The hydromedusae populations were represented by Leptomedusae (5 species), Narcomedusae (3 species), Trachymedusae (3 species) and Anthomedusae (2 species). Some species, such as Cirrholovenia tetranema and Cunina globosa, were new species records for the sampling areas. The total abundance of medusae was less than 10 individuals.m -3 . The areas with the highest concentrations (> 4 ind.m -3 ) were located along the central coast between the Bou Ismail (2.6° E) and Algiers (3.2° E) Bays. Here, the populations of Aglaura hemistoma and Liriope tetraphylla were dominant (≈ 40%). A quantitative variability was recorded for three species, Liriope tetraphylla , Pelagia noctiluca and Rhopalonema velatum , of which the first two species were particularly abundant in the central region and the latter species was particularly abundant in the eastern region. The distributions of these species were analysed in relation to the environmental parameters (temperature, salinity and chlorophyll a ) and their interaction with copepod prey.
INSULIN REGULATES ASTROCYTIC GLUCOSE HANDLING THROUGH COOPERATION WITH INSULIN-LIKE GROWTH FACTOR I

Brain activity requires a flux of glucose to active regions to sustain increased metabolic demands. Insulin, the main regulator of glucose handling in the body, has been traditionally considered not to intervene in this process. However, we now report that insulin modulates brain glucose metabolism by acting onto astrocytes in concert with insulin-like growth factor I (IGF-I). Cooperation of insulin and IGF-I is needed to recover neuronal activity after hypoglycemia. Analysis of underlying mechanisms show that the combined action of IGF-I and insulin synergistically stimulates a MAPK/PKD pathway resulting in translocation of glucose transporter 1 to the cell membrane through multiple protein-protein interactions involving the scaffolding protein GAIP-interacting protein, C terminus (GPIC) and the GTPase RAC1. Our observations identify insulin-like peptides as physiological modulators of brain glucose handling, providing further support to consider the brain as a target organ in diabetes. Page 3 of 35 Diabetes
Quality of Experience Estimation for WebRTC-based Video Streaming

—Enabling high Quality of experience (QoE) for video streaming, which accounts for a large and increasing percentage of wireless traffic, anywhere and anytime is a challenging task for relatively new Web Real-Time Communication (WebRTC) protocols as well as for service providers and it triggers broad exploration of this area. In this paper, we present our experience in running experiments for estimation of QoE for a WebRTC video stream in Mobile Broadband (MBB) networks based on Quality of Service (QoS) measurements. For majority of our experiments we exploited the MONROE platform, which is the first open access platform that gives access to several hundreds of nodes for large-scale experiments in commercial MBB in Europe. For analysis of obtained QoS measurements we used a combination of subjective quality assessment and a machine learning approach.
EXploring Collective Care in Research: A pilot-study with PhD Students

: Within the academic community, several studies point out that working towards a PhD is a particularly sensitive time, causing significant stress for PhD students. While some actions are being implemented to support their mental and physical health, these resources are still limited and no program has been designed in order to implement different individual and collective support modules. This project aims to develop a well-being pilot-program for PhD students in a Participatory Action Research (PAR) perspective, The CRI ecosystem and the modules already proposed (MBSR, psychoeducation) will be at the heart of this pilot program. By using mixed-methods, this study will intricate different qualitative and quantitative phases and exploit the potential of digital technologies (hardware/software) to collect social, behavioral and physiological data. After a first qualitative phase aiming to co-design with various stakeholders the content of the program as well as the research protocol to assess it. The second phase will be mainly quantitative and will compare PhD students following modules of the program or not (control group) in order to assess the impact of such a program but also to identify new relevant markers. These results will be enriched by a last qualitative phase to reflect about the implementation and adaptation of this program in other context. In addition to the socio-pedagogical benefits, this study will explore innovative perspectives in cognitive sciences on mind/body interactions as well as in social sciences by developing interdisciplinary, open and data science practices grounded in strong ethical and social reflections. create an interface and translation between these team sharing different theoretical and technical background. We designed a project to identify MOOCs learners profile based on a mixed-methods (qualitative/quantitative) with the support of active learning and markov Decision Process for behavioral inference. This project also included reflections on ethical and legal issues related to open science and digital technologies in order to consider personal data protection, data storage, open access of articles and algorithms for a reproducible research.
Monte-Carlo Policy-Tree Decision Making

—In this paper, we propose Monte-Carlo Policy-Tree Decision Making (MCPTDM), an uncertainty-aware framework for high-variance planning problems with multiple dynamic agents. Planning when surrounded by multiple uncertain dynamic agents is hard because we cannot be certain of either the initial states or the future actions of those agents, leading to an exponential explosion in possible futures. Many important real-world problems, such as autonomous driving, ﬁt this model. To address these difﬁculties, we combine Multi-policy Decision Making (MPDM) and Monte Carlo tree search (MCTS) and perform policy tree search with marginal action cost (MAC) estimation and repeated belief particles. We ﬁrst design a synthetic experiment to evaluate these novel improvements in isolation. Then we evaluate the complete framework in a self-driving car simulation experiment and compare it against MPDM and Efﬁcient Uncertainty-aware Decision Making (EUDM) methods. We release our complete source code for replicating our experiments and results.
User Resistance to Humanoid AI Robots in Public Libraries: An User Resistance to Humanoid AI Robots in Public Libraries: An Appraisal Theory Perspective Appraisal Theory Perspective

Public libraries have been long recognised as centres of learning and a major source of information. However, the digital era challenged the role of libraries. Being exposed to the digital resources provided by Google and Wikipedia, libraries are at risk of becoming obsolete. As a strategic response, libraries have adopted artificial intelligence (AI) systems (humanoid robots) to stay relevant in the digital era. This technology innovation, however, has unintended negative consequences that may trigger negative user responses, particularly user resistance to the AI robots. This study draws on cognitive-appraisal theory to examine the impact of unintended consequences of library AI robot adoption on user resistance. We build a new theoretical model and aim to test it using an online survey with users of library AI robots.
Fake News Detection using Support Vector Machine

: Social media is a rich source of information now days. If we look into the dark side of social media, we observed that fake news is one of the serious issues of society. Fake news is being used to spread false information over social media platforms. Fake news detection is the substantial area of research in the field of Natural Language Processing. Thispaper gives the comparative study of well-known machine learning approaches like Naïve Bayes, SVM, Decision tree classifier, Random Forest, Multinomial NB and Logistic Regression. The experimental result shows that SVM classifier outperforms the other approaches and achieved accuracy of 94.93%.