Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study of Data Mining Technology Applied on Technique and Tactic Analysis of Sport Competitions

Markov Process Model has been widely used in system reliability evaluation.Based on the Markov Process Model the key factors that determine system reliability is discussed.Both approaches,the transition probability and the state probability instant analysis are concerned.Given the concept of system reliability deference,probability transition and state probability increment analysis method are provided.The selection condition of increment of probability transition and state probability deeply are discussed too.Based on the discussion above,a new data mining algorithm is proposed.In order to demonstrate and prove the new algorithm,the technique and tactic analysis of table tennis match is carried out.The final analysis results show the correctness and the feasibility.
Low Profile ‘PIFA’ 4G Antenna

- The Planar Inverted-F Antenna (PIFA) can be considered as advanced from a quarter wavelength monopole antenna and is presently broadly utilized in mobile and versatile radio purposes because of its many eye-getting characteristics, for example, basic structure, lightweight, minimal effort, low-profile, conformal nature, built - in structure and reliable execution. In this paper various plans of PIFA have been introduced which are of low profile, over the top obtain and supports 4G frequencies.
Experimental and numerical study on static and dynamic axial crushing of square aluminum tubes: Effects of cutouts

The collapse of tubes under axial load is an important subject from the safety point of view, particularly in the design of energy absorbing devices used in many engineering applications. In this study, quasi-static and dynamic experiments were carried out on square thin-walled aluminum extrusions to investigate the effects of circular holes. Cutouts were introduced in the four corners of the square-section tube, not far from the end boundary of the tube, in order both to decrease the first peak load on the load-displacement characteristic and to control the collapse mode. Different aspects, such as the buckling modes and the energy absorption in quasi-static axial crushing tests, as well as dynamic effects and material rheology contributions in dynamic crushing tests, have been examined. For the dynamic tests, the parameters were the impacting mass and its velocity. The results showed a drop in the first peak function of the openings’ radius and the tube’s energy absorption capacity was kept. A comparison between static and dynamic tests results was carried out and the interpretation of the results in terms of deformation mechanism and energy absorption was discussed. Numerical simulations with the finite element code ABAQUS were conducted to confirm the experimental findings. The results of different numerical models, implicit and explicit calculations, that contribute to a basic understanding of the buckling and prediction of the crash behavior of the aluminum components without and with the cutouts are presented.
tRF-19-W4PU732S promotes breast cancer cell malignant activity by targeting inhibition of RPL27A (ribosomal protein-L27A)

ABSTRACT Breast cancer (BC) is a serious threat to female health. tRNA-derived fragments (tRFs) are popular biomarkers for the diagnosis and treatment of cancer. The purpose of this study was to identify tRFs related to BC and to explore the function and regulatory mechanism of crucial tRFs in BC cells. Small RNA database was used to detect the tRF profiles from BC patients and controls. Differentially expressed tRFs were determined by quantitative reverse transcription PCR (RT-qPCR), and a crucial tRF was evaluated through silence and overexpression experiments, and the target gene was investigated by luciferase reporter gene assay, Western blot and rescue experiment. We screened tRF-19-W4PU732S, which was processed from the mature tRNA-Ser-AGA, and significantly highlyexpressed in BC tissues and cells. Inhibition of tRF-19-W4PU732S weakened MDA-MB-231 cell proliferation, migration and invasion, while enhanced apoptosis. On the contrary, overexpression of tRF-19-W4PU732S promoted MCF-7 cell proliferation, migration and invasion, whereasreduced apoptosis. Furthermore, tRF-19-W4PU732S induced BC cell epithelial-to-mesenchymal transition (EMT) and cancer stem-like cells (CSC) phenotypes, such as up-regulation of OCT-4A, SOX2 and Vimentin and down-regulation of E-cadherin. Ribosomal protein-L27A (RPL27A) was a downstream target of tRF-19-W4PU732S, which was lowly expressed in BC cells. The knockdown of RPL27A expression partially restored the promoting effects of tRF-19-W4PU732S on BC cell viability, invasion, migration, EMT and CSC phenotypes, and the suppression of apoptosis. In conclusion, our results manifested that tRF-19-W4PU732S promotes the malignant activity of BC cells by inhibiting RPL27A, which provides a new scientific basis for the treatment of BC. Abbreviations BC: breast cancer; tRNAs: transfer RNAs; tiRNAs: tRNA-derived stressinduced RNAs; tRFs: tRNA-derived fragments; CCK-8: Cell Counting Kit-8; PI: propidium iodide; EMT: epithelial-to-mesenchymal transition; CSC: cancer stem-like cells; RPL27A: ribosomal protein-L27A; RT-qPCR: quantitative reverse transcription PCR. Graphical abstract
In- vitro Hepatoprotective Action of the Crude Extracts of Luffa amara (Whole Fruit) and Rheum emodi (Rhizomes) in CCl4 Intoxicated Rat Hepatocytes

Aim: The objective of this in-vitro study involves evaluating the protective action of the extracts of L. amara (LA) (whole fruits including seeds) and R. emodi (RE) (rhizomes) at various concentrations on isolated primary rat hepatocytes. Methods: The pulverised dried whole fruits of L. amara (LA) and rhizomes of R.emodi (RE) were extracted successively with petroleum ether (PE), ethanol (EE) and distilled water (AE) and vacuum dried. These extracts of LA petroleum ether (PE), ethanolic (EE) and aqueous (AE) extracts and RE obtained were subjected to in vitro studies at doses of 25, 75, 100, and 150 µg/ml and silymarin (250 µg/ml) in CCl4 (1%) intoxicated primary hepatocytes monolayer cultures the hepatoprotective action of all the extracts of both plants at different doses was carried out using isolated rat hepatocytes which were subjected to CCl4 intoxication followed by estimating/ measuring the changes in serum biochemical markers – SGPT, SGOT, ALP, Total proteins (TP), total bilirubin (TB), albumin (ALB) and triglycerides (TGL). Results: Hepatoprotective activity against CCl4 was demonstrated in the rat primary monolayer hepatocyte culture using MMT assay with the ethanolic extracts of both plants showing more hepatocyte protective action compared to the aqueous and petroleum ether extracts by reducing the elevated serum marker levels. Alcoholic and aqueous extracts were found to express more protective action towards CCl4 intoxicated isolated primary rat hepatocytes in a dose dependant manner. Conclusion: Based on the result, it is suggested that the extract with the most hepatocyte protective action at a dose of 150µg is LA ethanolic extract (viability=88.24%), followed by LA aqueous extract (viability=84.31%), RE ethanolic extract (viability=88.24%) and RE aqueous extract (viability=88.24%) - which are comparable to the reference silymarin with viability at 92.15%. the petroleum ether extracts of both plants showed least hepatic cell viability with LA pet ether extract at 49.02% and RE pet ether extract at 47.85%
Morphological and physiological-biochemical variability of spore-forming bacteria isolated from the agrocoenosis of winter wheat

From an agrocoenosis of winter wheat (Triticum aestivum L.; phylloplane and rhizosphere of the root system; typical chernozem, soil column measuring up to 40 cm), using the classical microbiological methods, we had isolated soil bacteria and characterized them according to the morphological features as representatives of Gram-positive and spore-forming bacteria of Bacillus sp. genus. In the earing-swelling phase of grain, the screening studies found non-pigmented forms of colonies of bacterial isolates, 19 of which were classified to colonial-morphological diversity of R-type with the diameter of 7 to 13 mm. The analysis of physiological condition of cells of populations of soil isolates revealed technologic specificity according to parameters of spore formation in different conditions and incubation time (up to 48–72 h). We observed 90.0% of free spores in axenic cultures as early as after 72 h of cultivation and no more than 10.0% of prospores in the studied monoisolates with stable morphologic traits. Isolates Н10 and Н45 demonstrated the ability to grow in higher cultivation temperatures (+37…+40 °С). According to environmental рН, isolates were able to grow in рН ranging 4.5–8.0. Differential diagnostic testing revealed that as the source of carbon, with formation of acid, soil isolates used arabinose, xylose, mannitol, glucose, galactose, fructose, maltose, sorbitol, glycerin, dextrin, starch, rhamnose and dulcite (with development of alkaline). There was observed active use of mineral forms of nitrogen: ammonium salt and nitrates, aminoacids and proteins. The isolates hydrolyzed casein, gelatin, starch, and litmus was being reduced in the young during growth in milk with litmus. They also exerted catalase activity and were oxidase-positive. Biochemical testing using API test system determined that the studied isolated bacteria differed by a range of fermentation carbohydrates, reduction of nitrates. In the conditions of submerged fermentation, isolates Н38 and Н40 grew in heightened temperature ranges of cultivation (40 °С) for 48 h (according to fact of spore development). Therefore, according to the key morphologic and biochemical traits, strains Н3, Н10, Н13, Н36, Н38, Н40, Н43, Н45 were similar to such of reference strain B. subtilis 8A, and were identified to Bacillus sp. , species B. subtilis.
Design Conception and Practice of Building Sheet Pile Wharfs in Deep Waters-Development of A New Structure of Covered type of Sheet Pile Wharf

In view of the problem that sheet pile structures are only suitable for medium and small wharfs,Which has long been besetting the field of marine construction,semi-covered and whole covered sheep pile wharf structures have been researched and developed.When the sheet pile wharf for 20 000dwt ships was being reconstructed into a berth for 50 000dwt ships in Jingtang Port,the semi-covered sheet piles were used to reduce the earth pressure acting on the lower part of the original front piles and no anchorage and stays were used and the success had been gained.With the whole covered sheet pile structure,a deep-water berth was successfully built for accommodating ships of more than 100 000dwt.The design proved correct with the centrifgal model tests made in Nanjing Hydraulic Research Institute.Construction of covered sheet pile wharfs in deep waters.
Current Technology and Applications of GSLB Strategy

GSLB, Global Service Load Balance, which based on the present framework of Internet, provides an economy and efficient way to extend the bandwidth and throughput of servers. And it strengthens the net - data processing ability as well as improves its flexibility and availability. This article mainly discusses the common techniques in solving GSLB applications.
Research on network structure of multimedia integrated services digital network in mine(MISDN)

After explanation of video monitor system in coal mine, Multimedia Integrated Services Digital Network (MISDN) is brought as well as the configuration is discussed and broadband industrial Ethernet is used for network infrustrucure of MISDN. In MISDN, 32 bit RISC singlechip computer is being used to design key device router, and Rabbit2000 for intelligent substation in coal mine.MISDN is suitable for coal mine with characteristics, such as the bad environment, personnel's equipment dispersing, special safe request etc. All the kinds of message, including data(include the control information in the automated system), audio and video with safety and production, can be transmitted at MISDN. In addition, intelligent decision support technology also be used, so digitilized enterprise is set up.
Comparative Study: The Effect of Tuned Mass Damper and Fluid Viscous Damper on The Response of Two Different Models of G+15 Storey Building During Earthquake

During an earthquake phase, dampers are used to dissipate energy as well as stop the Deformation of the Structure. Dampers help in reducing buckling and failure of columns and beams by increasing the stability of the frame. During earthquakes, high-rise buildings are prone to destruction or significant deformation. Use of dampers reduce the shaking of reinforcement cement concrete structures during an earthquake. We used and analyzed various types of dampers to determine the suitability of various types dampers during an earthquake. An empirical study has been performed for the comparative review of two dampers: a fluid viscous damper and a tuned mass damper used for multi-story cement concrete building reinforcement. Time History Method is applied to assess the seismic behaviour of a G+15 storey building with and without dampers. The earthquake load is applied in both the x and y directions for research. TheIS1893:2002(part 1) code is used in conjunction with the ETABS 2018 version18.1. 1 package for the purpose of analysis. The findings of these experiments are discussed in terms of numerous parameters such as maximal absolute displacement, absolute acceleration, absolute velocity, storey shear, storey drift, storey stiffness, and modal participation mass ratio in order to compare these parameters. Two kinds of dampers are used to dissipate seismic energy. In this article, a comparison of two different buildings of different bay sizes (5mx5m & 6mx6m) is used, as well as a comparative analysis of various parameters using Tuned Mass Damper and Fluid Viscous Damper.
Evaluation of IL‐6 for Stepwise Diagnosis of Minimal Hepatic Encephalopathy in Patients With Liver Cirrhosis

Diagnosis of minimal hepatic encephalopathy (MHE) requires psychometric testing, which is time‐consuming and often neglected in clinical practice. Elevated Interleukin‐6 (IL‐6) serum levels have been linked to MHE. The aim of this study was to investigate the usefulness of IL‐6 as a biomarker in a stepwise diagnostic algorithm to detect MHE in patients with liver cirrhosis. A total of 197 prospectively recruited patients without clinical signs of hepatic encephalopathy (HE) served as the development cohort. Another independent cohort consisting of 52 patients served for validation purposes. Psychometric Hepatic Encephalopathy Score (PHES) was applied for the diagnosis of MHE. Fifty (25.4%) patients of the development cohort presented with MHE. Median IL‐6 levels were more than twice as high in patients with MHE than in patients without HE (16 vs. 7 pg/mL; P < 0.001). On multivariable logistic regression analysis, higher IL‐6 levels (odds ratio 1.036; 95% confidence interval [CI] 1.009‐1.064; P = 0.008) remained independently associated with the presence of MHE. IL‐6 levels ≥ 8pg/mL discriminated best between patients with and without MHE in receiver operating characteristic (ROC) analysis (area under the ROC 0.751). With a cutoff value of ≥7 pg/mL, further elaborate testing with PHES could be avoided in 38% of all patients with a sensitivity of 90% (95% CI 77%‐96%) and a negative predictive value (NPV) of 93% (95% CI 84%‐98%). This diagnostic accuracy was confirmed in the validation cohort (sensitivity 94%; NPV 93%). Conclusion: Using IL‐6 serum levels as a biomarker in a stepwise diagnostic algorithm to detect MHE could substantially reduce the number of patients requiring testing with PHES and in turn the workload. IL‐6 may have especially helped in patients who are unable to perform other screening tests.
Comparison of the Performance of Machine Learning Algorithms in Predicting Heart Disease

Introduction: Heart disease is often associated with conditions such as clogged arteries due to the sediment accumulation which causes chest pain and heart attack. Many people die due to the heart disease annually. Most countries have a shortage of cardiovascular specialists and thus, a significant percentage of misdiagnosis occurs. Hence, predicting this disease is a serious issue. Using machine learning models performed on multidimensional dataset, this article aims to find the most efficient and accurate machine learning models for disease prediction.Material and Methods: Several algorithms were utilized to predict heart disease among which Decision Tree, Random Forest and KNN supervised machine learning are highly mentioned. The algorithms are applied to the dataset taken from the UCI repository including 294 samples. The dataset includes heart disease features. To enhance the algorithm performance, these features are analyzed, the feature importance scores and cross validation are considered.Results: The algorithm performance is compared with each other, so that performance based on ROC curve and some criteria such as accuracy, precision, sensitivity and F1 score were evaluated for each model. As a result of evaluation, Accuracy, AUC ROC are 83% and 99% respectively for Decision Tree algorithm. Logistic Regression algorithm with accuracy and AUC ROC are 88% and 91% respectively has better performance than other algorithms. Therefore, these techniques can be useful for physicians to predict heart disease patients and prescribe them correctly.Conclusion: Machine learning technique can be used in medicine for analyzing the related data collections to a disease and its prediction. The area under the ROC curve and evaluating criteria related to a number of classifying algorithms of machine learning to evaluate heart disease and indeed, the prediction of heart disease is compared to determine the most appropriate classification. As a result of evaluation, better performance was observed in both Decision Tree and Logistic Regression models.
Dynamic Security Assessment & Early Warning System of Power System

This paper introduced the main components and features of power system analysis software package(PSASP) Dynamic Security Assessment Early Warning System of Power System (PDSA). PDSA provides a complete toolset of on-line dynamic security assessment for large-scale power system, based on parallel simulation platform. The base data of PDSA is combined data from different energy management systems (EMSs), phasor measurement units (PMUs) and off-line calculations. By integrating algorithms from the PSASP calculation, PDSA can perform on-line assessments of transient stability, small signal stability and voltage stability, to promote dynamic security of power system. The PDSA has been applied to state grid, regional grids and provincial grids of China.
Nurse workforce scheduling: A qualitative study of Indonesian nurse managers’ experiences during the COVID-19 pandemic

Background The increase in COVID-19 cases in Indonesia has resulted in changes in the hospital workflow, including the staffing process and scheduling, especially in the isolation units. Nurse managers are working hard in the scheduling system to ensure high-quality care is provided with the best human resources. Objective This study aimed to explore the experiences of nurse managers in managing staff nurses’ work schedules during the COVID-19 pandemic. Methods A qualitative descriptive design was used in this study. Eleven nurse managers from three COVID-19 referral hospitals were selected using purposive sampling. Data were collected using online semi-structured interviews. Thematic analysis was used for data analysis, and data were presented using a thematic tree. Consolidated criteria for reporting qualitative research (COREQ) checklist was used as a reporting guideline of the study. Results Four themes were developed: (i) Nurse shortage, (ii) Strategically looking for ways to fulfill the workforce, (iii) Change of shift schedule, and (iv) Expecting guidance from superiors and compliance from staff. Conclusion The lack of nurse staff is a problem during a pandemic. Thus, managing personnel effectively, mobilizing and rotating, and recruiting volunteers are strategies to fulfill the workforce during the pandemic. Using a sedentary shift pattern and sufficient holidays could prevent nurses from falling ill and increase compliance with scheduling. In addition, a staffing calculation formula is needed, and top nursing managers are suggested to provide guidance or direction to the head nurses to reduce confusion in managing the work schedule during the pandemic.
Titanium dioxide (TiO2) nanoparticles were synthesised and characterized in order to test their effectiveness against two predatory insects

Nanosciences and microbiology are the research of extremely small objects on a nm scale. Tribolium Castaneum and Trogoderma Granarium isolates of various ages have been reported from the Lahore commodity market. For each of the two insects, the population had been acclimated to the laboratory. To maintain a homogenous population, pupa of the same age were collected during insect development and placed in separate plastic jars until adult emergence (2 weeks). Following the extraction of plant components, the biosynthesis of titanium-particles was carried out according to the standard technique. Toxicity Bioassays were conducted using three different plant extract concentrations (5, 10%, and 15%) (For both of the basic plant oils as well as nano-particles). After 24, 48, and 72 hours of care, mortality was determined. Tribolium Castaneum has the highest mortality rate (15.10%) and the lowest mortality rate (15.10%). (46.12%). The highest death rates were 40.40 and 33.68 percent for TiO2 nanoparticles, respectively. Repellency bioassays using the area preference method (TiO2) revealed 86.10% and 72.64 percent repellency against Tribolium Castaneum and Trogoderma Granarium, respectively. The data from all bioassays were analyzed using a factorial design with a CRD statistical design.
The effect of mainland dynamics on data and parameter estimates in island biogeography

Understanding macroevolution on islands requires knowledge of the closest relatives of is-land species on the mainland. The evolutionary relationships between island and mainland species can be reconstructed using phylogenies, to which models can be fitted to understand the dynamical processes of colonisation and diversification. But how much information on the mainland is needed to gain insight into macroevolution on islands? Here we first test whether species turnover on the mainland and incomplete mainland sampling leave recognis-able signatures in community phylogenetic data. We find predictable phylogenetic patterns: colonisation times become older and the perceived proportion of endemic species increases as mainland turnover and incomplete knowledge increase. We then analyse the influence of these factors on the inference performance of the island biogeography model DAISIE, a whole-island community phylogenetic model that assumes that mainland species do not diversify, and that the mainland is fully sampled in the phylogeny. We find that colonisation and diversification rate are estimated with little bias in the presence of mainland extinction and incomplete sampling. By contrast, the rate of anagenesis is overestimated under high levels of mainland extinction and incomplete sampling, because these increase the perceived level of island endemism. We conclude that community-wide phylogenetic and endemism datasets of island species carry a signature of mainland extinction and sampling. The ro-bustness of parameter estimates suggests that island diversification and colonisation can be studied even with limited knowledge of mainland dynamics.