Miracle-dz/UniFAR-FTUs huggingface dataset:
The Contribution of Neutrophils and NETs to the Development of Type 1 Diabetes

Type 1 diabetes (T1D) is an autoimmune disease resulting from the destruction of insulin-producing beta cells in pancreatic islets. T lymphocytes are the claimed pathogenic effectors but abnormalities of other immune cell types, including neutrophils, also characterize T1D development. During human T1D natural history, neutrophils are reduced in the circulation, while accumulate in the pancreas where release of neutrophil extracellular traps (NETs), or NETosis, is manifest. Recent-onset T1D patients also demonstrate activated circulating neutrophils, associated with a unique neutrophil gene signature. Neutrophils can bind to platelets, leading to the formation of platelet-neutrophil aggregates (PNAs). PNAs increase in the circulation during the development of human T1D and provide a mechanism for neutrophil activation and mobilization/recruitment to the pancreas. In non-obese diabetic or NOD mice, T1D autoimmunity is accompanied by dynamic changes in neutrophil numbers, activation state, PNAs and/or NETosis/NET proteins in the circulation, pancreas and/or islets. Such properties differ between stages of T1D disease and underpin potentially indirect and direct impacts of the innate immune system in T1D pathogenesis. Supporting the potential for a pathogenic role in T1D, NETs and extracellular histones can directly damage isolated islets in vitro, a toxicity that can be prevented by small polyanions. In human T1D, NET-related damage can target the whole pancreas, including both the endocrine and exocrine components, and contribute to beta cell destruction, providing evidence for a neutrophil-associated T1D endotype. Future intervention in T1D could therefore benefit from combined strategies targeting T cells and accessory destructive elements of activated neutrophils.
Inoculum Concentration and Mineral Fertilization: Effects on the Endophytic Microbiome of Soybean

Soybean crops are of great economic importance worldwide and in Brazil. This crop is a commodity that provides large amounts of financial resources to the country. Soybean productivity is influenced by several biotic and abiotic factors, and most of these factors cannot be controlled by agricultural practices. Due to the soybean cultivars used and their required yields, the soybean crop, similar to other agriculturally important crops, requires large amounts of mineral fertilizers. There are several microorganisms that colonize soybean plant roots without causing symptoms or damage. These microorganisms that colonize plant tissues are called endophytes and can often promote plant growth and development. Little is known about the factors that influence endophyticism. The aim of the present study was to evaluate whether Bacillus subtilis inoculant concentrations and levels of mineral fertilization recommended for the crop have any influence on the endophytic microbiome of soybean plant roots. The results show that B. subtilis inoculations did not affect the endophytic community of the roots; however, the evaluation of the microbial community structure according to the alpha diversity metrics observed richness, Chao1 index, Shannon index and Simpson index showed that microbial diversity of endophytes was higher at fertilization levels of 50 and 100%, with a significant difference (p < 0.05) between 0 and 50% and 0 and 100% fertilization.
Athletic Identity and Shoulder Overuse Injury in Competitive Adolescent Tennis Players: The Smash Cohort Study

Objectives Our primary aim was to determine if athletic identity is prospectively associated with shoulder overuse injuries. Secondly, we aimed to determine if athletic identity is prospectively associated with playing through pain and to describe how athletic identity relates to sex, age, playing level, weekly training load, and match volume. Methods A cohort of 269 adolescent tennis players were followed over a period of 52 weeks. Cox regression was used to estimate the hazard rate ratio (HRR) of first-time shoulder overuse injury associated with every 10-unit increase on the Athletic Identity Measurement Scale (AIMS). Results The adjusted HRR of shoulder overuse injury was 0.89 (95% CI: 0.36–2.20) and the odds ratio of playing through pain was 2.41 (95% CI: 0.74–8.96) for every 10 unit increase on AIMS. The level of athletic identity was higher among players at the national level than among players at the regional level and was weakly correlated to weekly hours of tennis matches, tennis training, and fitness training. Conclusions Our results indicate that higher levels of athletic identity may be associated with a lower incidence of shoulder overuse injuries, and potentially with playing through pain, although these results are inconclusive due to wide confidence intervals.
Preoperative Prediction of Lymph Node Metastasis of Pancreatic Ductal Adenocarcinoma Based on a Radiomics Nomogram of Dual-Parametric MRI Imaging

Purpose This study aims to uncover and validate an MRI-based radiomics nomogram for detecting lymph node metastasis (LNM) in pancreatic ductal adenocarcinoma (PDAC) patients prior to surgery. Materials and Methods We retrospectively collected 141 patients with pathologically confirmed PDAC who underwent preoperative T2-weighted imaging (T2WI) and portal venous phase (PVP) contrast-enhanced T1-weighted imaging (T1WI) scans between January 2017 and December 2021. The patients were randomly divided into training (n = 98) and validation (n = 43) cohorts at a ratio of 7:3. For each sequence, 1037 radiomics features were extracted and analyzed. After applying the gradient-boosting decision tree (GBDT), the key MRI radiomics features were selected. Three radiomics scores (rad-score 1 for PVP, rad-score 2 for T2WI, and rad-score 3 for T2WI combined with PVP) were calculated. Rad-score 3 and clinical independent risk factors were combined to construct a nomogram for the prediction of LNM of PDAC by multivariable logistic regression analysis. The predictive performances of the rad-scores and the nomogram were assessed by the area under the operating characteristic curve (AUC), and the clinical utility of the radiomics nomogram was assessed by decision curve analysis (DCA). Results Six radiomics features of T2WI, eight radiomics features of PVP and ten radiomics features of T2WI combined with PVP were found to be associated with LNM. Multivariate logistic regression analysis showed that rad-score 3 and MRI-reported LN status were independent predictors. In the training and validation cohorts, the AUCs of rad-score 1, rad-score 2 and rad-score 3 were 0.769 and 0.751, 0.807 and 0.784, and 0.834 and 0.807, respectively. The predictive value of rad-score 3 was similar to that of rad-score 1 and rad-score 2 in both the training and validation cohorts (P > 0.05). The radiomics nomogram constructed by rad-score 3 and MRI-reported LN status showed encouraging clinical benefit, with an AUC of 0.845 for the training cohort and 0.816 for the validation cohort. Conclusions The radiomics nomogram derived from the rad-score based on MRI features and MRI-reported lymph status showed outstanding performance for the preoperative prediction of LNM of PDAC.
Establishment and Application of a Real-Time Recombinase Polymerase Amplification Assay for the Detection of Avian Leukosis Virus Subgroup J

Avian leukosis caused by avian leukosis virus (ALV), belonging to the genus Alpharetrovirus of the family Retroviridae, is associated with benign and malignant tumors in hemopoietic cells in poultry. Although several methods have been developed for ALV detection, most of them are not suitable for rapid on-site testing due to instrument limitations, professional operators, or the low sensitivity of the method. Herein, we described the real-time recombinase polymerase amplification (RPA) assay for rapid detection of ALV subgroup J (ALV-J). The major viral structural glycoprotein gp85, highly specific for the subgroup, was used as the molecular target for the real-time RPA assay. The results were obtained at 38°C within 20 min, with the detection sensitivity of 10 copies/μl of standard plasmid pMD18-T-gp85 as the template per reaction. Real-time RPA was capable of ALV-J-specific detection without cross-reaction with other non-targeted avian pathogens. Of the 62 clinical samples tested, the ALV-positive rates of real-time RPA, PCR, and real-time PCR were 66.13% (41/62), 59.68% (37/62), and 67.74% (42/62), respectively. The diagnostic agreement between real-time RPA and real-time PCR was 98.39% (61/62), and the kappa value was 0.9636. The developed real-time ALV-J assay seems promising for rapid and sensitive detection of ALV-J in diagnostic laboratories. It is suitable for on-site detection, especially in a poor resource environment, thus facilitating the prevention and control of ALV-J.
A nonhydrostatic oceanic regional model ORCTM v1 for 1 internal solitary wave simulation 2

7 An Oceanic Regional Circulation and Tide Model (ORCTM version 1) including the nonhydrostatic 8 dynamics module which can numerically reproduce the Internal Solitary Waves (ISWs) dynamics, is 9 presented in this paper. The model open boundary conditions are also supportive of regional baroclinic 10 tidal wave simulations. 11 The incompressible Boussinesq equations in z-coordinates consider the three-dimensional and fully 12 nonlinear forms. The pressure field is also decomposed into the surface, hydrostatic and nonhydrostatic 13 components on the orthogonal curvilinear Arakawa-C grid. The nonhydrostatic pressure determined by 14 the intermediate velocity divergence field is obtained via solving a three-dimensional Poisson equation 15 based on a pressure correction method. Model validation experiments for ISWs simulations with the 16 topographic change in the two-layer and continuously stratified ocean demonstrate that the ORCTM has 17 a considerable capacity for reproducing the life cycle of Nonlinear Internal Waves evolution and tide- 18 topography interactions. 19 reflected waves including 342 a series of elevation tail waves, are released at x = 1.6 m. In detail, the first elevation is the leading one 343 with the rank-ordered structure in the rear all propagating to the west. After reaching the deep-water zone 344 left to 1.3 m, the wave rear begins to steepen and sink, generating a depression wave behind it. Namely, 345 the soliton wave passes the critical point inversely as a consequence of the water deepening. -1 a double-peak structure distributed at the depths of 150 602 and 1000 m the vertical velocity the strength in the deep layer is than the 603 upper’s, in smaller isotherm fluctuation above 200 m. the Taylor-Goldstein equation 604 the eigenfunction the vertical velocity 21d. The second-mode 605 eigenvalues have two peaks in vertical direction whose depths correspond to 150 and 1070 m with the 606 latter strength stronger than the former, and the corresponding phase speed is about 1.34 m s -1 . The above 607 theoretical results can compare well with the distribution of stimulated characteristics, indicating that our 608 nonhydrostatic ocean model succeeds in describing the nonlinear evolution of higher modal baroclinic
PV SOLAR SYSTEM CONTROL AS (PV- STATCOM) FOR POWER OSCILLATION DAMPING

This Project is based on a novel control of PV solar system as a FACTS device STATCOM, termed PV-STATCOM, for power oscillation damping (POD) in transmission systems. In the proposed control, as soon as power oscillations due to a system disturbance are detected, the solar farm discontinues its real power generation function very briefly (few tens of seconds) and makes its entire inverter capacity available to operate as a STATCOM for POD. As soon as power oscillations are damped, the solar farm restores real power output to its pre-disturbance level in a ramped manner, while keeping the damping function activated. This results in much faster restoration than that specified in grid codes. During nighttime, the solar farm performs POD with its entire inverter capacity. It is shown from EMTDC/PSCAD simulations that the proposed control provides significant increase in power transfer capacity on a 24/7 basis in systems which exhibit both local inertial and inter-area oscillatory modes. The proposed PV-STATCOM is about 50-100 times cheaper than an equivalent STATCOM for providing POD at the same location. This novel control can potentially bring large savings for transmission utilities and open up a new revenue making opportunity for solar farms for providing POD. www.ijcrt. org © 2022 IJCRT | Volume 10, Issue 6 June 2022 | ISSN: 2320-2882 IJCRT21X0036 International Journal of Creative Research Thoughts (IJCRT) www.ijcrt. org c564 CHAPTER-1
Theoretical Assumptions of Values-Based Communication

Background: The aim of this research is to analyze the theoretical assumptions of values-based communication and to investigate the values-based communication of the Vilnius Book Fair. By incorporating values into communication, it is possible to reach the readers of the message in a more personal way by creating a connection or having an influence on some of their decisions. The topics of health, physical activity and sport are also presented, where the latest scientific and study publications are shared. In this work, the communication of the Vilnius Book Fair was chosen for the analysis of the case of values-based communication. Methods: The research was carried out using mixed methods: analysis of scientific literature, qualitative analysis of communicative content, and an online survey of Vilnius Book Fair visitors. Qualitative analysis of the communicative content was based on the value classification systems described in the scientific literature. Results: From the results of the survey and the reviewed communication content, it can be stated that the communication of the Vilnius Book Fair is mainly based on the values of self-direction, which shows that the event presents itself as a place where it is possible to improve. Stimulation is also emphasized – the experience of innovation, this value according to Schwartz’s (2006) correlation diagram has a common goal with self-direction, but the value of tradition, which opposes the values of openness to change, remains equally important. The value of tradition is used to create continuity, that is, to show a connection with the visitor and a successful event year after year. Values are linked throughout the communication content – it starts with slogans and continues to the program and press releases. Conclusion: The summarized results of the research show that the Vilnius Book Fair bases its communication mainly on the value of self-direction (improvement, education). The value of stimulation (innovation) and traditions are also noticeable – the continuity of the event is emphasized. There is a direct connection between the value of conformity and the cultural dimension of femininity – both ideas strive for equality in society, and empathy. The ideas of the Vilnius Book Fair slogans are closely related to further communication – the program of the event and press releases. The opinion of the respondents about the event coincides with the message broadcasted by the Vilnius Book Fair, that is, the respondents first equate the fair with a cultural festival and do not emphasize its commercial side.
COLLABORATE FRAMEWORK BASED ON SOFTWARE DEFINED NETWORK IN MANET

Create a novel network model for mobile ad hoc network (MANET) nodes and actors in wireless sensor networks to collaborate on event processing. There are two stages in the development of distributed algorithms: setup and negotiation. The first uses weighted proportional max-min fairness to initially allocate MANET nodes across event zones, whereas the latter uses a market-based method to re-distribute the number of MANET nodes based on existing and new events. A detection technique for malicious packet dropping attacks in MANETs. The mechanism of the suggested approach is Collaborative Convolutional Neural Network (CCNN), which is based on the reputation value computed for that node by its neighbours. A node's reputation value is determined by its network packet forwarding behaviour. The reputation information is collected, saved, and transferred between nodes before being calculated under various scenarios. A network simulator was used to test the proposed protocol. The simulation results demonstrate the effectiveness of its performance. Even in the presence of cryptographic procedures, our method incurs negligible network bandwidth and latency costs. Moreover, we demonstrate that the protection is still effective in the presence of misbehaving nodes and routing changes caused by mobility. While further research is needed to thoroughly evaluate our method, we feel that the concept of collaborative security in MANETs is a potential future area.
School readiness of primary school students in mixed-age classrooms

The aim of this study is to determine school readiness of primary school students in mixed-age classrooms. The sample of this study, using embedded mixed method design, consists of 909 first grade students in primary school and 30 primary school teachers determined by stratified purposeful sampling method. In this study, "Primary School Readiness Scale" and "semi-structured interview form" were used for data collection. Descriptive and differential statistics were used for quantitative data analysis, and descriptive analysis technique was used for qualitative data analysis. As a result of the study, first grade students of 60-65 months old demonstrated a medium level of school readiness; while the students of 66-71 and 72-84 month old demonstrated a high level of school readiness. In interviews, teachers stated that students' school readiness increased with age. Considering the individual differences of the students, the appropriate age for students to start school should be determined with school readiness test. © 2016 IJCI & the Authors. Published by International Journal of Curriculum and Instruction (IJCI) . This is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (CC BY-NC-ND) ( http://creativecommons.org/licenses/by-nc-nd/4.0/ ). that 60-65 month old students have a medium level of readiness concerning psychomotor skills, while 66-71 month old students have a high level and 72-84 month old students have a very high level of readiness concerning psychomotor skills. The results of the interviews with the teachers the quantitative results. stated the students an early age month old) are not ready for school terms psychomotor skills, their small muscle skills are not developed enough, therefore they fail in the activities such as holding pencil, writing etc. and they get tired early when participating in such activities. results coincide with similar study results in the In parallel with the results of this study, Başar that 60-65 month old students have difficulty in performing psychomotor skills such as holding pencil, line drawing the first weeks of the that small muscle skills of 60-65 month old students are not ready for school. Fidan, Taşcı 60-65 month old students' small skills are not developed enough; children old difficulty in performing psychomotor skills requiring small and large muscle
Communities of Practice: Role of Shared Vision, Shared Goals and Accountability as Knowledge Transfer Enablers

Knowledge is increasingly important to the effectiveness of organizations, as most can be categorized today as being knowledge-based, at least to some degree. Transfer of knowledge, thereby, is a critical challenge. The purpose of this paper is to explore the antecedents and relationship between variables that can enable knowledge transfer within the context of communities of practice in an organization. Communities of practice are often employed in organizations, with varying levels of success, to capture and share information relevant to the community. This paper looks at the interactions between a shared vision, shared goals, and accountability, and their potential for increasing knowledge transfer. This paper takes a systems perspective and integrates the theory of social learning and goal-setting theory of motivation to develop a model that explores and hopes to predict greater knowledge transfer. Contributions to theory and practical implications are discussed.
Anti-Privacy and Anti-Security Advice on TikTok: Case Studies of Technology-Enabled Surveillance and Control in Intimate Partner and Parent-Child Relationships

Modern technologies including smartphones, AirTags, and tracking apps enable surveillance and control in interpersonal relationships. In this work, we study videos posted on TikTok that give advice for how to surveil or control others through technology, focusing on two interpersonal contexts: intimate partner relationships and parent-child relationships. We collected 98 videos across both contexts and investigate (a) what types of surveillance or control techniques the videos describe, (b) what assets are being targeted, (c) the reasons that TikTok creators give for using these techniques, and (d) defensive techniques discussed. Additionally, we make observations about how social factors – including social acceptability, gender, and TikTok culture – are critical context for the existence of this anti-privacy and anti-security advice. We discuss the use of TikTok as a rich source of qualitative data for future studies and make recommendations for technology designers around interpersonal surveillance and control.
Stock Market Prediction Using Machine Learning

The Long Short-Term Memory (LSTM)[3] Recurrent Neural Network, in particular, is the subject of this study's investigation of how machine learning algorithms might be used to forecast stock values. Accurately anticipating stock prices is difficult due to how unpredictable they are as a result of shifting supply and demand. To discover the precise attributes of a stock price, machine learning algorithms[5] can recognise trends in past data. Due to its capacity to recall data over lengthy time periods, the LSTM algorithm is particularly good for time series forecasting. Time series data analysis also benefits from LSTM's capacity to process data sequentially while preserving an internal state. The study demonstrates how stock price predictions using machine learning algorithms like LSTM may help traders and investors make wise decisions.
DEREVERBERATION OF SPEECH USING DEEP CONVOLUTIONAL NEURAL NETWORK

: This paper focuses on speech dereverberation using a single microphone. We probe the connection of fully convolutional networks (FCN) to enhance the speech signal represented by short-time Fourier transform (STFT) images in light of their recent success in numerous image processing applications. We present two variants: a "U-Net," which is an encoder-decoder network with skip connections, and a generative adversarial network (GAN) with the U-Net as the generator, which produces a more intuitive cost function for training. To assess our system, we used data from the REVERB challenge and compared our results to those of other styles tested under the same conditions. In utmost cases, we discovered that our system outperforms the contending styles.
Successive Convex Approximation with Adaptive Beam Scanning Antenna to Fore Fend Data Collision in WSN

—Recent development in low powered and less sized senor devices make implementation of wireless sensor network in health care a reality. Moreover, Routing protocols in network determine network lifetime and efficiency of a network. Conventional AODV routing protocol consumes more energy and increased end-to-end delay. In this paper, we propose a successive convex approximation routing scheme (SCAR). The routing scheme increases network lifetime and end-to-end delay compared to AODV scheme. In successive convex approximation, routing (SCAR) nodes elect a convex head. The convex approximation approach minimizes data collision and prolongs network lifetime. The routing scheme simulate in network platform and the same implement in hardware to validate proposed scheme effectualness.