Miracle-dz/UniFAR-FTUs huggingface dataset:
Tight association between microbial eukaryote and giant virus communities in the Arctic Ocean

Viruses are important regulatory factors of the marine microbial community including microeukaryotes. However, little is known about their role in the northern Chukchi Sea in the Arctic basin, which has oligotrophic conditions in summer. To clarify the link between microbial eukaryotic communities and viruses as well as environmental conditions, we investigated the community structures of microeukaryotes (from 3 to144 μm and from 0.23 μm size bio‐particles collected from seawater) and Imitervirales (from 0.23 μm size bio‐particles collected from seawater), a dominant group of viruses infecting marine microeukaryotes. To the best of our knowledge, no study has investigated both Imitervirales and eukaryotic communities in the Arctic Ocean. Surface water samples were collected at 21 ocean stations located in the northeastern Chukchi Sea and an adjacent area outside the Beaufort Gyre (Adjacent Sea), and at two melt ponds on sea ice in the summer of 2018. At the ocean stations, nutrient concentrations were low in most of the locations, except the shelf in the adjacent sea. The community variations were significantly correlated between eukaryotes and Imitervirales, even within the northeastern Chukchi Sea characterized by relatively homogeneous environmental conditions. The association of the eukaryotic community with the viral community was stronger than that with geographical and physicochemical environmental factors. These results suggest that Imitervirales actively infect their hosts even in the cold and oligotrophic seawater in the Arctic Ocean.
THE LEXICAL EQUIVALENCE VARIETY OF F-WORDS TRANSLATION INTO INDONESIAN : CORPUS-BASED TRANSLATION RESEARCH

Translating the movie subtitle is increasingly recognised as a meaning-making mode and language variety in its own right. However, making the meaning is a difficult task when the word is considered taboo in the target language. Therefore, this study attempts to identify the translation of F-Words which are generally considered taboo in Indonesia. The object material of this study is corpus parallel, OpenSubtitle Corpus 2016 which contains correspondence of English- Indonesian data, and focuses on seeing the F-Words translation. The F-Words in this research consisted of fuck, fucks, fucking, fucked, fucker and its compounds such as motherfucker, motherfuck, and motherfucking. This present study employed translational research which took an interpretative qualitative-quantitative analysis. Based on the analysis, the total occurrences of F-Words in the corpus is 7938 occurrences and showed that there is a variation of lexical equivalence of F-Words translation in Indonesia. The finding reveals that the lexical translation of the F-Words in Indonesian is not restricted to negative or taboo. Furthermore, the analysis on the function of F-Words translation in Indonesian translation shows the flexibility of F-Words which can be employed to show solidarity, emphasis meaning, insult, emotion, failure, and misery
ISOLATION AND MOLECULAR DETECTION OF ARTHROBACTER SPECIES GROWN ON THE SURFACE OF DATE PALM TISSUE CULTURE MEDIA

This study was aimed to found out the type of bacterial species grown on the surface of date palm tissue culture media. Shoot tips of date palm (Barhi cv.) were cultured on MS media supplemented with various combinations of hormones. During growth an infection was appeared in all cultures with gray colour. Primarily identification, proved a bacterial infection due to its colour and appearance. The genus Arthrobacter was isolated Antibiotic sensitivity test showed that the isolate was sensitive to ciprofloxacin,Trimethoprim, and Amikacin and resistant to Clarithromycin,Ceftriaxone and Gentamycin. Sequence analysis of 16 rRNA indicated a new isolates were closely related to the Glutamicibacter arilaitensis strain ebst40 and Arthrobacter arilaitensis strain L11 with the highest sequence similarity (100%) .
Design of Basketball Player Training Action Error Correction System Based on Convolutional Neural Network Algorithm

With the development of industry and the progress of science and technology, more and more new technology is gradually applied to the movement of error correction. This not only relieves workers of unneeded burdens by making their task more straightforward and error-free, but it also improves production efficiency. Deep neural networks are one of these new technologies that have exploded in popularity in recent years, with applications in a variety of industries. Of course, the application in image recognition must not be less, image recognition technology based on deep neural network has become more mature, and the error rate of recognition is now much lower than human vision recognition. So at present, some industrial detection is gradually from human vision detection to computer vision detection. This study discloses a basketball action error correction method based on deep learning image recognition, which includes the following steps: receiving each frame of basketball image captured from the fitness video, recording the corresponding time of each frame of fitness image, and preprocessing each frame of fitness image; the preprocessed basketball image was fed into the human joint recognition model, and the human joint recognition model calculated each human joint in the fitness image and output its position coordinates. According to the coordinate position of each joint orderly line, the human skeleton diagram is obtained; the human skeleton diagram is compared and assessed in accordance with standard fitness action, and the nonstandard basketball image is generated to realize basketball action repair. A basketball action error correction system based on deep learning picture identification is also disclosed in the invention. The system and method are capable of efficiently addressing the difficult challenge of comparing fitness movements with and without music rhythm.
Mitigated Oxidative Stress and Cognitive Impairments in Transient Global Ischemia using Niosomal Selegiline-NBP delivery

Stroke is the most common reason for adult disabilities and the second ground for death worldwide. Our previous study revealed that selegiline serves as an alternative candidate in transient hypoxia-ischemia. However, aggressive and restless behavior was observed in stroke-induced rats receiving 4 mg/kg selegiline. In comparison, 1 mg/kg selegiline could induce negligible therapeutic effects on mitochondrial dysfunction and histopathological changes. Therefore, we designed oral noisome-based selegiline attached to 4-(4-nitrobenzyl) pyridine to improve transient global ischemia by attenuating cognitive impairments, oxidative stress, and histopathological injury. The investigation was performed in transient hypoxia-ischemia-induced rats by oral administration of nanoformulation containing selegiline (0.25-1 mg/kg) for 4 weeks (3 times a week). Novel object recognition (NOR) was considered to evaluate their cognitive dysfunction. Oxidative stress parameters and brain histopathological assessments were determined following the scarification of rats. Outstandingly, our data demonstrated slower selegiline release from niosomes relative to free drug, which was also in a controlled manner. Our data confirmed significant improvement in cognitive behavior in the NOR test, an increase in glutathione level and total antioxidant power, a decline in MDA and protein carbonyl level, as well as a decreased number of dead cells in histopathological assessment after being exposed to (0.5-1 mg/kg) selegiline-NBP nanoformulation. These data manifested that the selegiline-NBP nanoformulation (0.5-1 mg/kg) could significantly reduce oxidative damage, cognitive dysfunction, and histopathological damage compared to transient hypoxia-ischemia rats, which is 20 times lower than the therapeutic dose in humans. Therefore, the proposed nanoformulation would be capable as an alternative candidate without side effects in stroke.
INVENTORY OF AGRICULTURAL BUILDING OBJECTS BASED ON DATA OBTAINED FROM MEASUREMENTS BY LASER SCANNING

Because of their activities, many users of agricultural building objects are interested in improving the state of the objects. However, the planning of repairs requires preparation of documentation of buildings. Often, especially in older buildings, it is not possible to obtain a construction project made many years ago. It is necessary to recreate the missing documents and perform complex measurements. In order to accelerate and facilitate the process modern methods of measurement can be used. One of the possibilities is terrestrial laser scanning (TLS method). The article presents various aspects of preparation and carrying out measurements with special reference to the construction of agricultural facilities.
The Alternate Arm Converter: A New Hybrid Multilevel Converter with DC-Fault Blocking Capability

This paper explains the working principles, sup- ported by simulation results, of a new converter topology intended for HVDC applications, called the alternate arm converter (AAC). It is a hybrid between the modular multilevel converter, because of the presence of H-bridge cells, and the two-level converter, in the form of director switches in each arm. This converter is able to generate a multilevel ac voltage and since its stacks of cells consist of H-bridge cells instead of half-bridge cells, they are able to gen- erate higher ac voltage than the dc terminal voltage. This allows the AAC to operate at an optimal point, called the “sweet spot,” where the ac and dc energy flows equal. The director switches in the AAC are responsible for alternating the conduction period of each arm, leading to a significant reduction in the number of cells in the stacks. Furthermore, the AAC can keep control of the current in the phase reactor even in case of a dc-side fault and support the ac grid, through a STATCOM mode. Simulation results and loss calculations are presented in this paper in order to support the claimed features of the AAC.
Information source utilization for organic waste management with special reference to digital technologies: A qualitative study on dairy farmers of district Ludhiana, Punjab

Abstract The current study was conducted to analyse the sources of information utilized by dairy farmers of rural Punjab for obtaining information on organic waste management. A total of 80 farmers (40 each, small and large) were selected for the study. Results revealed that small farmers had a low level of information source utilization whereas, large farmers had a medium level of utilization. Pooled data revealed that the utilization of information sources by farmers is of medium level, but ICT utilization was found to be the highest for obtaining information. The Mann-Whitney U value was found to be highly significant (p < 0.01) between groups. Furthermore, education, information source utilization and knowledge level were found to be having a highly significant and positive relationship with ICT usage. As in the present study, ICT utilization among farmers was high, therefore, more ICT tools should be developed for efficient organic waste management, which will not only hasten information dissemination but also strengthen extension delivery in rural areas.
Enhanced ECC Based Authentication Protocol in Wireless Sensor Network with DoS Mitigation

Abstract Wireless Sensors Network (WSN) face various challenges such as localization, security issues, deployment of node, clustering, and data aggregation. In addition, certain technological issues in WSN such as spatial distribution, higher energy utilization, small memory, bandwidth, and so on are also noticed. The proposed protocol comprises of four various stages such as (1) user registration, (2) remedy, (3) attack prediction, and (4) reloading. Initially, a new Modified Elliptic Curve Cryptography (ECC) model is introduced to ensure the secure communication. Moreover, the implemented approach also focuses on the attack prediction phase, where the Optimized Recurrent Neural Network (RNN) model is exploited for detecting the Denial-of-Service (DoS) attack. Here, the training of RNN is carried out by Shark Smell Optimization with Opposition Learning and Mutation Process (SSOL-MP) via tuning the optimal weights. At the end, analysis is done for validating the enhancement of the suggested model.
The Proton Sponge: a Trick to Enter Cells the Viruses Did Not Exploit

Several non-permanent polycations possessing substantial buffering capacity below physiological pH, such as lipopolyamines and polyethylenimines, are efficient transfection agents per se, i.e. without the addition of lysosomotropic bases, or cell targeting, or membrane disruption agents. These vectors have been shown to deliver genes as well as oligonucleotides both in vitro and in vivo. Our hypothesis is that their efficiency relies on extensive endosome swelling and rupture that provides an escape mechanism for the polycation/DNA particles.
Effect of Silver Doping on the Superconducting and Structural Properties of YBCO Films Grown by PLD on Different Templates

We report the local structural and superconducting properties of undoped and Ag-doped YBa2Cu3O6+x (YBCO) films with a thickness of up to 1 µm prepared by pulsed laser deposition on SrTiO3 (STO) single crystals and on ion-beam-assisted deposition (IBAD) and rolling-assisted biaxially textured substrate (RABiTS)-based metal templates. X-ray diffraction demonstrates the high crystalline quality of the films on both single crystalline substrates and metal-based templates, respectively. Although there was only a slight decrease in Tc of up to 1.5 K for the Ag-doped YBCO films on all substrates, we found significant changes in their transport characteristics. The effect of the silver doping mainly depended on the concentration of silver, the type of substrate, and the temperature and magnetic field. In general, the greatest improvement in Jc over a wide range of magnetic fields and temperatures was observed for the 5%Ag-doped YBCO films on STO substrates, showing a significant increase compared to undoped films. Furthermore, a slight Jc improvement was observed for the 2%Ag-doped YBCO films on the RABiTS templates at temperatures below 65 K, whereas Jc decreased for the Ag-doped films on IBAD-MgO-based templates compared to undoped YBCO films. Using detailed electron microscopy studies, small changes in the local microstructure of the Ag-doped YBCO films were revealed; however, no clear correlation was found with the transport properties of the films.
Potential Protective Effects of Antioxidants against Cyclophosphamide-Induced Nephrotoxicity

Cyclophosphamide is an alkylating antineoplastic agent, and it is one of the most successful drugs with wide arrays of clinical activity. It has been in use for several types of cancer treatments and as an immunosuppressive agent for the management of autoimmune and immune-mediated diseases. Nowadays, its clinical use is limited due to various toxicities, including nephrotoxicity. Even though the mechanisms are not well understood, cyclophosphamide-induced nephrotoxicity is reported to be mediated through oxidative stress. This review focuses on the potential role of natural and plant-derived antioxidants in preventing cyclophosphamide-induced nephrotoxicity.
Towards Handling Uncertainty in Prognostic Scenarios: Advanced Learning from the Past

In this report we introduce the paradigm of learning from the past which is realized in a controlled prognostic context. It is a data-driven exploratory approach to assessing the limits to credibility of any expectations about the system’s future behavior which are based on a time series of a historical observations of the analyzed system. This horizon of the credible expectations is derived as the length of explainable outreach of the data, that is, the spatio-temporal extent which, in lieu of the knowledge contained in the historical observations, we are justified in believing contains the system’s future observations. Explainable outreach is of practical interest to stakeholders since it allows them to assess the credibility of scenarios produced by models of the analyzed system. It also indicates the scale of measures required to overcome the system’s inertia. In this report we propose a method of learning in a controlled prognostic context which is based on a polynomial regression technique. A polynomial regression model is used to understand the system’s dynamics, revealed by the sample of historical observations, while the explainable outreach is constructed around the extrapolated regression function. The proposed learning method was tested on various sets of synthetic data in order to identify its strengths and weaknesses, and formulate guidelines for its practical application. We also demonstrate how it can be used in context of earth system sciences by using it to derive the explainable outreach of historical anthropogenic CO2 emissions and atmospheric CO2 concentrations. We conclude that the most robust method of building the explainable outreach is based on linear regression. However, the explainable outreach of the analyzed datasets (representing credible expectations based on extrapolation of the linear trend) is rather short.
Board of directors characteristics affect commercial banks’ performance – evidence in Vietnam

Abstract This study aims to identify the board of directors’ characteristics affecting commercial banks’ performance in Vietnam. The paper is based on the data collected over eleven years (2010–2020) for a set of 35 Vietnamese commercial banks listed on the stock market. The author explores the board of director characteristics affecting banks’ performance in Vietnam on the platform of the quantitative regression method-System Generalised Method of Moments. The paper concludes that the statistically significant factors that involve the BOD’s characteristics affect banks’ performance, namely board size, nationality diversity and board of directors’ advanced education. The author also demonstrates the influence of ownership structures on those banks’ performances. The results reveal that banks are owned and controlled by the government, and ownership concentration can improve and increase their performance. The author clarifies the role of the ownership concentration factor in the relationship to a bank’s performance. Significantly, commercial banks, which have their shareholders own over 5% of shares, namely institutions, the government, and members of the board of directors, can improve their performance because these shareholders have strict mechanisms to monitor and control the bank’s activities to minimize risks and increase the commercial bank’s performance.
Clinical and Pathological Features of Double-Hit and Triple-Hit High-Grade B-Cell Lymphomas: A Retrospective Study from Three Portuguese Tertiary Centers

Background: High-grade B-cell lymphoma (HGBL) with rearrangements of MYC and BCL2 and/or BCL6, called double and triple-hit lymphomas (DTH-HGBL), are lymphoid malignancies with inferior outcomes when treated with standard chemotherapy. The identification of DTH-HGBL cases is challenging, considering their variable clinical, morphologic, and immunohistochemical features. Materials and Methods: Retrospective revision of medical data of patients diagnosed with DTH-HGBL confirmed by FISH, between January 2010 and January 2020, in three Tertiary Portuguese Hospitals (Coimbra Hospital and University Center, Portuguese Oncology Institute – Coimbra and Portuguese Oncology Institute – Porto). Pathological features, morphology, and immunohistochemical profile were evaluated by at least two experienced pathologists in hematopoietic and lymphoid neoplasms. Results: The cohort included 24 patients: 33.3% triple-hit, 58.3%, MYC/BCL2 double-hit and 8.3% MYC/BCL6 double-hit. There was no gender predominance, with a median age of 62.5±14.3y, 33.3% were diagnosed as nodal disease, and 66.7% as extranodal. Morphologic features of DLBCL were present in 50% of cases, morphological features of both DLBCL and Burkitt lymphoma (DLBCL/BL) in 45.8% and 4.2% of blastoid morphology. Immunohistochemical evaluation, regarding the Hans algorithm, revealed a Germinal center (GC)/GC-like subtype in 83.3% of cases and a non-GC/non-GC-like subtype in 16.7%. MYC was positive in 42.9% and the median proliferative index was 80±12.4%. Conclusion: DTH-HGBL has a very broad range of features. We consider that a cost-effective approach would be to perform cytogenetic analysis in DLBCL and DLBCL/BL cases with GC/GC-like subtype. MYC and BCL2 immunohistochemistry can be useful to identify patients who may benefit from more aggressive therapies, but not as tools for case selection for FISH.
SIGFOX System Description

This document presents an overview of the network architecture and system characteristics of a typical SIGFOX Low Power Wide Area Network (LPWAN). It is intended to be used as background information by the IETF LPWAN group when defining system requirements of different LPWAN technologies that are suitable to support common IP services.
The Complementary Role of Exercise and Fasting in the Treatment of Cancer: A Narrative Review of Mechanisms Related to Metabolic Stress Elements

Background: Complementary methods such as physical activity (PA) and fasting are particularly important for cancer patients. The present study reviewed the effects of regular PA and fasting on cancer patients and attempted to explain the relevant mechanisms. Methods: Several electronic databases such as PubMed, Elsevier, and Google Scholar were searched for keywords. After reviewing, 412 articles were identified until February 1, 2021. The inclusion criteria included meta-analysis, clinical intervention studies that considered different effects of fasting and various types of exercise on health indicators. After carefully reviewing and eliminating duplicates, 68 articles were identified based on the PICO format (participants, intervention, comparison, and results). Results: The short-term fasting (STF) before chemotherapy (48-72 hours) or rehabilitation exercise could be modulating fasting blood sugar, growth factors, oxidative stress (OS), and inflammatory pathways. In addition, physiological metabolic stress induced by STF or rehabilitation exercise could regulate sex hormone-binding globulin, fat oxidation, leptin secretion, hyperinsulinemia, maintaining mass muscle, and bone density, boosting the immune system, and improving the therapeutic index of cancer. Conclusion: Metabolic stress in cancer cells leads to the intake of high doses of chemotherapy. The rehabilitation exercise prevents the complications of the disease and improves the patient’s quality of life. Thus, these interventions can be used to improve the cancer-based therapeutic index on individual differences.
Review and Synthesis of Silver Nanoparticles, Characterization and Application

: In recent years particularly silver nano particles have a demanding position because silver nano particle have very high interest in effective antibacterial agents without the toxic effects and various industrial application such as-inkjet inks containing well uniform dispersion of nano sized silver particles that are useful for products electronic circuits. This article are aims to provide synthesis, characterization and biological approach of silver nanoparticles (AgNps) and will also discuss for the future perspective what the more and more benefit of this AgNps.