Miracle-dz/UniFAR-FTUs huggingface dataset:
Statistics for motion of microparticles in a plasma

I report experimental and numerical studies of microparticle motion in a dusty plasma. These microparticles are negatively charged and are levitated in a plasma consisting of electrons, ions and neutral gas atoms. The microparticles repel each other, and are confined by the electric fields in the plasma. The neutral gas damps the microparticle motion, and also exerts random forces on them. I investigate and characterize microparticle motion. In order to do this, I study velocity distributions of microparticles and correlations of their motion. To perform such a study, I develop new experimental and analysis techniques. My thesis consists of four separate projects. In the first project, the battle between deterministic and random motion of microparticles is investigated. Two particle velocity distributions and correlations have previously studied only in theory. I performed an experiment with a very simple one dimensional (1D) system of two microparticles in a plasma. My study of velocity correlations involves just two microparticles which is the simplest system that allows interactions. A study of such a simple system provides insight into the motions of the microparticles. It allowed for the experimental measurement of two-particle distributions and correlations. For such a system, it is shown that the motion of the microparticles is dominated by deterministic or oscillatory effects. In the second project, two experiments with just two microparticles are performed to isolate the effects of ion wakes. The two experiments differ in the alignment of the two microparticles: they are aligned either perpendicular or parallel to the ion flow. To have different alignments, the sheath is shaped differently in the two experiments. I demonstrate that microparticle motion is more correlated when they are aligned along the ion flow, rather than perpendicular to the ion flow.
Scientific Results of the Yale North India Expedition. Helminth Parasites of Fishes from North India, with Special Reference to Acanthocephalans

This report on the Helminth parasites of fishes collected by the Yale North India Expedition (1932) d~als with Acanthocephala and Cestoda only. Towards the end of 1935, my colleague, Mr. Dev Dev Mukherji, handed over to me the material under report which he found during his investigations on the intestinal contents of the fishes collected by the expedition. Dr. S. L. Rora also very kindly handed to me a couple of specimens of the loach Nemachilus hutchinsoni Rora, with cestodes in the body cavity. Additional material, in ten tubes, was received froII' Dr. G. E. Hutchinson from America in March, 1936. Earlier work on Acanthocephala was very unsatisfactory, and up to 1892 nearly all species of these worms were assigned to the genus Echinorhynchus. The detailed systematic work of Luhe (1911), Van Cleave's reports on worms from Japan, America and India, Fukui's (1929) work on Acanthocephala found in Japan, Yamaguti's report on the Helminth Fauna of Japan (1935) and the latest published monograph on Acanthocephala by Meyer (1933) have placed the systematics of these worms on a sound foundation.
Comparison of Jugular vs. Saphenous Blood Samples, Intrarater and In-Between Device Reliability of Clinically Used ROTEM S Parameters in Dogs

Simple Summary Viscoelastic coagulation tests such as rotational Thromboelastometry (ROTEM) have many theoretical advantages compared to traditional coagulation testing. As a point-of-care diagnostic device, ROTEM results are directly part of treatment decisions. Therefore, it is crucial to know its reliability and precision. Most recommendations for ROTEM S analyses originate from Thromboelastography (TEG), another viscoelastic coagulation assay. However, evidence about how preanalytical and analytical factors, such as sample collection technique, sample handling and the analysis itself, influence ROTEM results is scarce. Due to the absence of a gold standard method, we assessed accuracy with the coefficient of variation and intraclass correlation coefficient and examined the influence of blood collection site, as well as intrarater and in-between device variability, on ROTEM S results of clinically healthy dogs. We found significant changes between ROTEM S parameters from different blood collection sites and significant intrarater and in-between device variability. These findings were most prominent in tissue-factor-activated tests. To ensure patient safety, we therefore suggest running duplicate measurements and to interpret results obtained from tissue-factor-activated tests with caution, since some of their coefficients of variation were moderate to high. Abstract Rotational Thromboelastometry (ROTEM) allows for the global assessment of hemostasis in whole blood samples. Preanalytical and analytical factors may influence test results, and data about the reliability and reproducibility of lyophilized ROTEM tests are scarce. Therefore, the objective of this study was to evaluate the influence of blood collection site on ROTEM S parameters and to assess intrarater and in-between device variability. A total of thirty, healthy, staff-owned dogs were included. Blood collection and ROTEM analysis were performed by trained staff according to a standardized protocol. Extrinsically activated (tissue factor; Ex-TEM S), with the addition of cytochalasin for platelet inhibition (Fib-TEM S), and intrinsically activated (In-TEM) analyses were performed. Analysis of our data showed significant variability for various Ex-TEM S and Fib-TEM S parameters from different collection sites and intrarater and in-between device measurements. We conclude that serial monitoring with ROTEM should be performed on the same device, with blood always taken from the same collection site using a standardized blood sampling technique. While In-TEM S, apart from maximum lysis, showed very stable and reliable results, we suggest interpreting especially clotting and clot formation parameters from Ex-TEM S and Fib-TEM S tests with caution and using duplicate measurements to detect outliers and to prevent initiation of incorrect therapies.
On the Different Ways to Handle the Trend of Disease Risk in Genetic Association Tests

Genetic association studies usually apply the simple chi-square (χ 2 )-test for testing association between a single-nucleotide polymorphism (SNP) and a particular phenotype, assuming the genotypes and phenotypes are indepen-dent. So, the conventional χ 2 -test does not consider the increased risk of an individual carrying the increasing number of disease responsible allele (a particular genotype). But, the association tests should be performed with the consideration of this disease risk according to the mode of inheritance (addi-tive, dominant, recessive). Practical demonstration of the two possible methods for considering such order or trends in contingency tables of genetic association studies using SNP genotype data is the purpose of this paper. One method is by pooling the genotypes, and the other is scoring the individual genotypes, based on the disease risk according to the inheritance pattern. The results show that the p-values obtained from both the methods are similar for the dominant and recessive models. The other important features of the methods were also extracted using the SNP genotype data for different inheritance patterns.
Performance and Social Network Structure of Festival Research: A Reflective of 1978–2020

Abstract In this study, a bibliometric review of festival research is conducted to provide a valuable overview of the current state of the field, and in so doing, lays out a roadmap for future research. Based on hospitality-, tourism-, and leisure-related journals indexed in Scopus database, performance, relational and intellectual structure of festival scholarship are undertaken using Biblioshiny and VosViewer software to generate descriptive statistics and social networks structures of 955 articles. For almost five decades of research effort, the last five years have been the most productive period although citation structure has been relatively low. A greater proportion of the articles were published in Event Management with Saayman M, USA and North-West University being the most prolific author, country and institution, respectively. A co-citation network analysis unearthed four major themes: (1) festival impacts, sustainability, and management; (2) festival quality, satisfaction, and behavioral intentions; (3) festival authenticity, experiences, and revisit intentions; and (4) motivation and segmentation. This study is the first to undertake a performance and social structure analysis of prior festival research using bibliometric methodology.
Electrical characteristics of TaSixNy/SiO2/Si structures by Fowler–Nordheim current analysis

In this letter, the Fowler–Nordheim tunneling in TaSixNy/SiO2/p-Si structures has been analyzed. The effective barrier height at the metal–oxide interface was extracted by Fowler–Nordheim current analysis. The barrier height was found to increase with increased annealing temperature. The barrier height was correlated with the extracted work function from capacitance–voltage analysis. This indicated that the work function of TaSixNy films changes under high temperature annealing from 4.2∼4.3 eV after 400 °C anneals to ∼4.8 eV after 900 °C anneals. We believe that the mechanism that causes the work function to increase is the formation of a Ta-disilicide layer at the interface between the electrode and the dielectric.
Cartilage Oligomeric Matrix Protein, Diseases, and Therapeutic Opportunities

Cartilage oligomeric matrix protein (COMP) is an extracellular matrix (ECM) glycoprotein that is critical for collagen assembly and ECM stability. Mutations of COMP cause endoplasmic reticulum stress and chondrocyte apoptosis, resulting in rare skeleton diseases. The bouquet-like structure of COMP allows it to act as a bridging molecule that regulates cellular phenotype and function. COMP is able to interact with many other ECM components and binds directly to a variety of cellular receptors and growth factors. The roles of COMP in other skeleton diseases, such as osteoarthritis, have been implied. As a well-established biochemical marker, COMP indicates cartilage turnover associated with destruction. Recent exciting achievements indicate its involvement in other diseases, such as malignancy, cardiovascular diseases, and tissue fibrosis. Here, we review the basic concepts of COMP and summarize its novel functions in the regulation of signaling events. These findings renew our understanding that COMP has a notable function in cell behavior and disease progression as a signaling regulator. Interestingly, COMP shows distinct functions in different diseases. Targeting COMP in malignancy may withdraw its beneficial effects on the vascular system and induce or aggravate cardiovascular diseases. COMP supplementation is a promising treatment for OA and aortic aneurysms while it may induce tissue fibrosis or cancer metastasis.
Investigating toxicity changes of cross-community redditors from 2 billion posts and comments

This research investigates changes in online behavior of users who publish in multiple communities on Reddit by measuring their toxicity at two levels. With the aid of crowdsourcing, we built a labeled dataset of 10,083 Reddit comments, then used the dataset to train and fine-tune a Bidirectional Encoder Representations from Transformers (BERT) neural network model. The model predicted the toxicity levels of 87,376,912 posts from 577,835 users and 2,205,581,786 comments from 890,913 users on Reddit over 16 years, from 2005 to 2020. This study utilized the toxicity levels of user content to identify toxicity changes by the user within the same community, across multiple communities, and over time. As for the toxicity detection performance, the BERT model achieved a 91.27% classification accuracy and an area under the receiver operating characteristic curve (AUC) score of 0.963 and outperformed several baseline machine learning and neural network models. The user behavior toxicity analysis showed that 16.11% of users publish toxic posts, and 13.28% of users publish toxic comments. However, results showed that 30.68% of users publishing posts and 81.67% of users publishing comments exhibit changes in their toxicity across different communities, indicating that users adapt their behavior to the communities’ norms. Furthermore, time series analysis with the Granger causality test of the volume of links and toxicity in user content showed that toxic comments are Granger caused by links in comments.
On neutrino oscillations in a nonhomogeneous medium

An approximate analytic solution of the equations for neutrino oscillations in a medium with an arbitrary dependence of the density on the coordinates is obtained for the case of small vacuum mixing angles. Oscillations in matter with a periodically varying density are considered; it is shown that a parametric enhancement of the neutrino oscillations can occur under certain conditions.
TRIM65 Promotes Malignant Cell Behaviors in Triple-Negative Breast Cancer by Impairing the Stability of LATS1 Protein

TNBC is a malignant tumor that easily relapses and metastasizes, with a poor prognosis in women. Ubiquitination plays a key role in promoting the tumor process. In various tumors, TRIM65 can affect malignant biological tumor behavior by ubiquitination of related proteins. We aimed to investigate TRIM65 expression in TNBC and whether it promotes malignant biological behavior in TNBC cells using Cell Counting Kit-8, colony formation, and transwell assays. Mechanically, we confirmed that TRIM65 promoted TNBC invasion and metastasis by ubiquitination of LATS1 protein through Co-IP, CHX, and endogenous ubiquitination experiments. The expression of TRIM65 was abnormally high and accelerated the proliferation, invasion, and migration of MDA-MB-231 and MDA-MB-453 cells. In vivo animal experiments also revealed that TRIM65 accelerated TNBC cell proliferation. Mechanistically, TRIM65 degraded LATS1 protein expression through ubiquitination in the Co-IP, CHX, and endogenous ubiquitination experiments. Rescue assays confirmed that TRIM65 degraded LATS1 protein expression, accelerating the proliferation, invasion, and migration ability of TNBC cells. Our results show that TRIM65 is upregulated in TNBC, and TRIM65 degrades LATS1 protein expression through ubiquitination and promotes malignant biological behavior in TNBC cells. TRIM65 may play an important role as a new oncogene in TNBC.
Recent Advances in Functionalized Nanoparticles in Cancer Theranostics

Cancer theranostics is the combination of diagnosis and therapeutic approaches for cancer, which is essential in personalized cancer treatment. The aims of the theranostics application of nanoparticles in cancer detection and therapy are to reduce delays in treatment and hence improve patient care. Recently, it has been found that the functionalization of nanoparticles can improve the efficiency, performance, specificity and sensitivity of the structure, and increase stability in the body and acidic environment. Moreover, functionalized nanoparticles have been found to possess a remarkable theranostic ability and have revolutionized cancer treatment. Each cancer treatment modality, such as MRI-guided gene therapy, MRI-guided thermal therapy, magnetic hyperthermia treatment, MRI-guided chemotherapy, immunotherapy, photothermal and photodynamic therapy, has its strengths and weaknesses, and combining modalities allows for a better platform for improved cancer control. This is why cancer theranostics have been investigated thoroughly in recent years and enabled by functionalized nanoparticles. In this topical review, we look at the recent advances in cancer theranostics using functionalized nanoparticles. Through understanding and updating the development of nanoparticle-based cancer theranostics, we find out the future challenges and perspectives in this novel type of cancer treatment.
Sustainable software development life cycle process model based on capability maturity model integration: A study in Malaysia

Green software engineering is an important view of software engineering process in the current century. Previously, software engineers concerned mainly with development of hardware or software without giving more importance to sustainability. The field of green software and green software engineering is still young. Thus, in modern society, researches efforts are mainly focused on green and sustainable software engineering itself. The development of sustainable software has been identified as one of the key challenges in the field of computational science and software engineering and also there no is clear idea regarding how to accomplish the Green and sustainability in Software Development Life Cycle (SDLC) stage. However, the aim of this study is the adjustments in the current SDLC and presented sustainable SDLC. In order to access the goal, the study firstly is used Standard Software development process method which is Capability Maturity Model Integration (CMMI) to institutionalization the model. Next, the research is used survey sample population is selected equal with 102 respondents that is Non-probability or not randomly obtained from international software organizations in Malaysia to identify main stages of the Green Software Development Life Cycle and finally is investigated based on that.
Smart Waste Management and Classification Systems Using Cutting Edge Approach

With a rapid increase in population, many problems arise in relation to waste dumps. These emits hazardous gases, which have negative effects on human health. The main issue is the domestic solid waste collection, management, and classification. According to studies, in America, nearly 75% of waste can be recycled, but there is a lack of a proper real-time waste-segregating mechanism, due to which only 30% of waste is being recycled at present. To maintain a clean and green environment, we need a smart waste management and classification system. To tackle the above-highlighted issue, we propose a real-time smart waste management and classification mechanism using a cutting-edge approach (SWMACM-CA). It uses the Internet of Things (IoT), deep learning (DL), and cutting-edge techniques to classify and segregate waste items in a dump area. Moreover, we propose a waste grid segmentation mechanism, which maps the pile at the waste yard into grid-like segments. A camera captures the waste yard image and sends it to an edge node to create a waste grid. The grid cell image segments act as a test image for trained deep learning, which can make a particular waste item prediction. The deep-learning algorithm used for this specific project is Visual Geometry Group with 16 layers (VGG16). The model is trained on a cloud server deployed at the edge node to minimize overall latency. By adopting hybrid and decentralized computing models, we can reduce the delay factor and efficiently use computational resources. The overall accuracy of the trained algorithm is over 90%, which is quite effective. Therefore, our proposed (SWMACM-CA) system provides more accurate results than existing state-of-the-art solutions, which is the core objective of this work.
RARE CASE OF HIP PAIN DUE TO ILIOPSOAS TENDON RUPTURE; A CASE REPORT AND REVIEW OF THE LITERATURE

Objective Hip pain is common in patients of advanced age and has a very broad differential. Of the potential aetiologies, iliopsoas tendon ruptures are rare. Consequently, there is a paucity of literature on iliopsoas rupture in the older adult population, and its rarity can lead to a delay in its diagnosis. When iliopsoas ruptures do occur, they are typically secondary to trauma; however, they can occur spontaneously. Iliopsoas injuries can be disabling, but they respond well to conservative management. We report here a case of a 70-year-old woman who presented to an unaffiliated emergency department with left anterior hip pain 2 weeks after a fall from standing height. Results Initial X-ray and computed tomography were negative for fracture, and the patient was discharged with home health physical therapy. Her symptoms persisted. At a subsequent emergency department visit several weeks later, magnetic resonance imaging revealed a complete left iliopsoas tendon rupture with retraction. She was treated conservatively and made a complete recovery after physical therapy. Discussion This paper reviews the literature related to iliopsoas injuries, highlights the importance of iliopsoas tendon injuries among the differential for acute hip pain, and provides management recommendations for this rare, but probably underdiagnosed, injury. This treatable condition warrants further attention, as delay in diagnosis can prolong morbidity. LAY ABSTRACT Hip pain is common in the elderly population and has many causes. Of the potential sources of hip pain, a complete tear of the iliopsoas, or hip flexor, tendon is rare. When iliopsoas tears do occur, it is typically after trauma, such as a fall. However, tears can happen spontaneously. Diagnosis is best made using magnetic resonance imaging (MRI), but can be made with ultrasound. These injuries can be disabling, but respond well to conservative management consisting of rest and pain management principles, followed by physical therapy active rehabilitation. This paper reviews the literature on iliopsoas tears, provides management recommendations for this rare, but probably underdiagnosed, injury, and reports a case of a 70-year-old woman who experienced a complete iliopsoas tear after a fall from standing height. The diagnosis was missed on initial evaluation, and was subsequently made using MRI. The patient made a full recovery after conservative management.
Regulatory Effects of Metformin, an Antidiabetic Biguanide Drug, on the Metabolism of Primary Rat Adipocytes

Metformin is a biguanide compound commonly applied in humans with type 2 diabetes. The drug affects different tissues, including fat tissue. The direct influence of metformin on cells of fat tissue, i.e., adipocytes, is poorly elucidated. In the present study, the short-term (4-h) effects of metformin on lipogenesis, glucose transport, lipolysis, and lactate release in primary rat adipocytes were explored. It was demonstrated that metformin reduced insulin-induced lipogenesis and increased glucose transport into adipocytes. The tested compound also decreased lactate release from fat cells. It was shown that metformin substantially limited lipolysis stimulated by epinephrine (adrenergic receptor agonist) and dibutyryl-cAMP (direct activator of protein kinase A). Moreover, metformin decreased the lipolytic process triggered by DPCPX (adenosine A1 receptor antagonist). In the case of each lipolytic stimulator, the drug evoked a similar inhibitory effect in the presence of 3 and 12 mM glucose. The lipolytic response of adipocytes to epinephrine was also found to be reduced by metformin when glucose was replaced by alanine. It was demonstrated that the tested compound limits the release of both glycerol and fatty acids from fat cells. The results of the present study provided evidence that metformin significantly affects the metabolism of primary rat adipocytes. Its action covers processes related to lipid accumulation and release and occurs after relatively short-term exposure.