bluuebunny/crossref_metadata_2025_split huggingface dataset:
Robotic and Orthosensor Assisted versus Manual (ROAM) Total Knee Replacement: A Study Protocol for a Randomised Controlled Trial
Authors: Clement Nicholas D , Bardgett Michelle , Galloway Steven M , Baron Yael J , Smith Karen M , Weir David J , Deehan David J 
Published: June 2021

Abstract
BackgroundRobotic-arm assisted knee arthroplasty allows for more accurate component positioning and alignment and is associated with better patient reported outcomes comparted to manually performed jig-based knee arthroplasty. However, what is not known is whether the addition of an intra-articular sensor (VerasenseTM) to aid intraoperative balancing of the total knee replacement (TKR) offers improved functional outcomes for the patient. The purpose of this research is to compare the outcomes of patients undergoing a conventional manual knee replacement to those undergoing TKR using robotic assisted surgery and the VerasenseTM to optimise alignment and balance the knee joint, respectively, and assess the associated cost economics of such technology.Methods and AnalysisThis randomised controlled trial will include 90 patients with end stage osteoarthritis of the knee undergoing primary TKR. Patients meeting the inclusion/exclusion criteria that consent to be in the study will be randomised at a ratio of 1:1 to either manual TKA (standard of care) or robotic-arm assisted TKA with VerasenseTM to aid balancing of the knee. The primary objective will be functional improvement at 6-months following surgery between the two groups. The secondary objectives are to compare changes in knee specific function, joint awareness, patient expectation and fulfilment, satisfaction, pain, stiffness and functional ability, health related quality of life, cost effectiveness, and gait patterns between the two groups. Ethical approval was obtained by the Tyne & Wear South Research Ethics Committee, UK. The study is sponsored by the Newcastle Hospitals NHS Foundation Trust.DiscussionThis study will assess whether the improved accuracy of component positioning using the robotic-arm assisted surgery and the VerasenseTM to aid balancing of the TKA offers improved outcome relative to standard manual jug-based systems that are currently the standard of care. This will be assessed primarily according to knee specific function, but several other measure will also be assessed including whether this is a cost effective intervention.Trial registrationInternational Standard Randomised Controlled Trial Number: ISRCTN47889316 https://doi.org/10.1186/ISRCTN47889316 (registered on 25/11/2019)Date and version for protocolROAM Protocol V1.0 (13-12-2018)
Study of Antibiotics Sensitivity Pattern And Molecular Characterization of Staphylococcus Aureus Isolated From Human And Animal Pyogenic Cases
Authors: Singh Jayshree , Kumar Amit , Yadav Sharad K. , Yadav Ritika , Singh Vinod K. 
Published: June 2021

Abstract
Staphylococcus aureus has been described as the most common cause of human and animal diseases and has emerged as superbug due to multidrug resistance. Considering these, a total of 175 samples were collected from pyogenic cases of humans (75) and animals (100), to establish the drug resistance pattern and also for molecular characterization of human and animal isolates. Thermonuclease (nuc) gene amplification was used to confirm all presumptive S. aureus isolates and then antibiotic sensitivity and slide coagulase tests were used for phenotypic characterization of isolates. Following that, all of the isolates were subjected to PCR amplification to detect the existence of the methicillin resistance (mecA) and coagulase (coa) genes. Lastly, typing was done by using the Randomly Amplified Polymorphic DNA-PCR. The overall prevalence of S. aureus in human and animal samples was found to be 39.4%. Drug sensitivity revealed the highest resistance against the β-lactam antibiotics such as ampicillin (94.8%) and penicillin (90.6%), followed by cephalosporin (cefixime-67.7%) and quinolone (ciprofloxacin-52.1%) group of drugs. The drug sensitivity was the highest against antibiotics like chloramphenicol (95%) followed by gentamicin (90%). Among the 69 S. aureus isolates, the overall presence of MRSA was 40.5% (27.5% and 50% in human and animal isolates respectively). Total 33 isolates exhibited coa genes amplification of more than one amplicons and variable in size of 250, 450, 800, and 1100 bp. The RAPD typing revealed amplification of 5 and 6 different band patterns in humans and animals, respectively, with two common patterns suggesting a common phylogenetic profile.
Clinical Study of The Early Application of Lvabradine For Acute Anterior Myocardial Infarction Patients After PCI With Early Heart Failure To Observe Cardiac Function And Prognosis
Authors: Gao Jun-Qing , wang Xu , Li Ling-Yan , Zhang Hua , Zhang Hong , Liu Ying , Lv Tian-Jiao , Han Bing-Yu , Jian Ye , Liu Zong-Jun 
Published: June 2021

Abstract
BackgroundThe incidence of acute myocardial infarction is increasing each year. Percutaneous coronary intervention has become highly preferred for patients with acute myocardial infarction because it not traumatic and improves heart function. However, the mortality and disability rates are still high. For the first time, we used ivabradine in patients with acute anterior myocardial infarction. We expect that this new method will enhance heart function and clinical prognosis because of heart rate control, decreases in heart preload and improvements in left ventricular end-diastolic volume.Method and analysisThis is a prospective, randomized, controlled, open-label, multicenter and optimally designed clinical trial. A total of 500 patients with acute anterior myocardial infarction after Percutaneous coronary intervention（PCI）with early heart failure will be enrolled. Eligible subjects will be randomized at a 1:1 ratio to take the standard drug treatment or receive the standard drug treatment plus ivabradine. The primary outcome measure is left ventricular end-diastolic volume. Left ventricular ejection fraction, adverse cardiac events, and the Canadian angina pectoris score will be evaluated as secondary endpoints. Blood biochemical testing will be used as the safety endpoints. Ethics and dissemination The clinical research will be carried out in strict accordance with the relevant Chinese laws and regulations, the Declaration of Helsinki, and the ethical and scientific principles stipulated by the Chinese GCP. All participants will provide informed consent. The personal information of patients will be kept confidential. Findings from the trial will be disseminated through peer-reviewed journals and scientific conferences.ClinicalTrials.govID:ChiCTR2000032731,Registered8May,2020 http://www.chictr.org.cn/showproj.aspx?proj=53275 Trial Statusversion number: Protocol version 1.0., approved9 May，2020Trial ongoingStudy execute time: From 1 September 2020 to 31 Octomber 2022Recruiting time: From 8 May 2020 to 31 December 2022
Indole Glucosinolates Exhibits Anti-Inflammatory Effect on Ehrlich Ascites Carcinoma Cells through Modulation of Inflammatory Markers and miRNAs
Authors: Salem Ayah Z. , Medhat Dalia , Fathy Shadia A. , Mohamed Mohamed R. , El-Khayat Zakaria , El-Daly Sherien M. 
Published: June 2021

Abstract
Background: Nuclear factor-κB (NF-κB) is the major link between inflammation and cancer. Natural agents that inhibit this pathway are essential in attenuating inflammation induced by cancer and/or induced by chemotherapeutic drugs. A high intake of Brassicaceae vegetables is linked to modulating essential pathways related to chronic diseases. In the present study, we investigated the anti-proliferative and anti-inflammatory effect of glucosinolates indoles; indole-3-carbinol (I3C) and 3,3-diindolylmethane (DIM) on the inflammatory biomarkers and miRNAs controlling the NF-κB pathway. Methods and Results: inoculation of Ehrlich ascites carcinoma (EAC) cells in female albino mice resulted in a marked increase in packed cell volume and a significant increase in the level of several cytokines and inflammatory biomarkers (NF-κB IL-6, IL-1b, TNF-α, and NO). A significant elevation in the inflammatory-medicated miRNAs (miR-31 and miR-21) was also detected. Treatment with 5-Fluorouracil (5-FU) significantly reduces packed cell volume and the viable cell count. However, it was accompanied by a significant increase in the levels of inflammatory markers and the expression of miR-31 and miR-21. Although treatment with indoles significantly reduced the packed cell volume and the viable cell count, their most prominent effect was the marked reduction of all inflammatory biomarkers compared to both EAC untreated group and the EAC group treated with 5-FU. Moreover, their anti-inflammatory effect was modulated by a significant decrease in miR-31 and miR-21. Conclusion: Our findings revealed that I3C and DIM have a strong anti-inflammatory effect, implying that their use as a co-treatment with chemotherapeutic drugs could effectively improve the anti-tumor effect of chemotherapies.
Hepatotoxic Manifestations of Arsenic Trioxide Loaded Poly (Lactide-co-Glycolide) Nanoparticles in Wistar Rat
Authors: Verma Yeshvandra , Rana Kavita , Rani Varsha , Rana Suresh VS 
Published: June 2021

Abstract
Present study reports on the hepatotoxic manifestations of arsenic trioxide loaded poly lactide-co-glycolide nanoparticles (As2O3-PLGA- NPs) in rats. As2O3-PLGA- NPs enhances the activity of serum transaminases. As2O3-PLGA-NPs are potential inducer of lipid peroxidation in mitochondria as well as microsomes. Mitochondrial lipid peroxidation was higher than the microsomal lipid peroxidation. CYP450 2E1 was lower in the liver of As2O3-PLGA- NPs treated rats in comparison to arsenic trioxide treated rats. GSH showed lower values than control rats and arsenic trioxide treated rats. Glutathione-S-transferase inhibited by arsenic trioxide, non significant increase was recorded in the liver of As2O3-PLGA- NPs treated rats. As2O3-PLGA- NPs readily accumulates in liver and induces peculiar histopathological changes viz. intracytoplasmic/intranuclear inclusions and apoptosis. Since As2O3-PLGA- NPs are being considered as a suitable chemo-preventive agent against different types of cancer, its toxicological properties are of prime concern from bio-safety point of view. Thus, present observations seem to be important from human health risk assessment point of view.
MATLAB Simulation of IEEE802.11p Technology on High User’s Mobility
Authors: mountaciri abderrahim 
Published: June 2021

Abstract
In this article proposed IEEE 802.11p Physical layer (PHY). A MATLAB simulation is performed to analyze the baseband processing of the transceiver. Orthogonal Frequency Division Multiplexing (OFDM) is applied in this project according to the IEEE 802.11p standard, which allows data transmission rates from 3 to 27 Mbps. Separate modulation schemes, bit phase shift modulation (BPSK), quadrate phase shift modulation (QPSK), and quadrature amplitude modulation (QAM), are used for different data rates. These schemes are combined with time interleaving and a convolutional error correction code. A guard interval is inserted at the start of the transmitted symbol to reduce the effect of intersymbol interference (ISI). This article studies the PHY physical layer of the IEEE 802.11p vehicular communication standard. An IEEE.802.11p PHY model, with many associated phenomena, is implemented in the V2V vehicle-to- vehicle, and the vehicle-to-vehicle ad hoc network (VANET) provides convenient coordination between moving vehicles. A moving vehicle could move at a very high speed, producing a Doppler effect that damages OFDM symbols and also causes inter-carrier interference (ICI). This article has discussed VANET technology versus 802.11a technology, as they have many differences when it comes to user mobility. The Doppler effect resulting from the mobility of the user with a high speed of 25 to 400 km / h has been studied as the main parameter, the estimation of the channel based on the lms algorithm has been proposed in order to improve the performance of the physical physical chain
Gait Recognition Analysis for Human Identification Analysis- A Hybrid Deep Learning Process
Authors: B Mathivanan , P Perumal 
Published: June 2021

Abstract
Gait is an individual biometric behavior which can be detected based on distance which has different submissions in social security, forensic detection and crime prevention. Hence, in this paper, Advanced Deep Belief Neural Network with Black Widow Optimization (ADBNN-BWO) Algorithm is developed to identify the human emotions by human walking style images. This proposed methodology is working based on four stages like pre-processing, feature extraction, feature selection and classification. For the pre-processing, contrast enhancement median filter is used and Hu Moments, GLCM, Fast Scale-invariant feature transform (F-SIFT), in addition skeleton features are used for the feature extraction. To extract the features efficiently, the feature extraction algorithm can be often very essential calculation. After that, feature selection is performed. Then the classification process is done by utilizing the proposed ADBNN-BWO Algorithm. Based on the proposed method, the human gait recognition is achieved which utilized to identify the emotions from the walking style. The proposed method is validated by using the open source gait databases. The proposed method is implemented in MATLAB platform and their corresponding performances/outputs are evaluated. Moreover, the statistical measures of proposed method are also determined and compared with the existing method as Artificial Neural Network (ANN), Mayfly algorithm with Particle Swarm Optimization (MA-PSO), Recurrent Neural Network -PSO (RNN-PSO) and Adaptive Neuro Fuzzy Inference System (ANFIS) respectively.
A Hybrid Analytic Model for the Effective Prediction of Different Stages in Chronic Kidney Ailments
Authors: Seba P. Antony , JV Bibal Benifa 
Published: June 2021

Abstract
Chronic Kidney Disease (CKD) is a gradual loss of kidney function over the period of time and it is irrevocable once functionality reaches the critical state. Detecting the various stages of CKD helps to reduce the progression of the disease. Accurate prediction of CKD stages is one of the urgent needs in the medical industry and it can be effectively done by adopting Machine Learning (ML) techniques. The primary objective of the present research is to develop an effective classification model for the accurate prediction of CKD stages based on the patient’s health profile as well as the clinical test reports. Here, a hybrid ML strategy is employed that integrates Random Forest (RF) and AdaBoost (AB) techniques through a voting classifier (VC). The standard CKD dataset with 400 tuples and 25 parameters is used for the proposed investigation. The Modification of Diet in Renal Disease (MDRD) equation is used to extract an additional feature known as “estimated Glomerular Filtration Rate (eGFR)” for the prediction of the CKD stage. Pre-processing is carried out on the CKD dataset to fill the missing values by considering the skewness of the parameters and the issue of data leakage is also well addressed. Medically important features are considered and Correlation analysis is carried out to select the appropriate features for the model building process.The proposed Hybrid Ensemble Model (HEM) aids in lowering the bias and variance. HEM model efficiency is assessed using the performance metrics such as cross validation score (CVS), accuracy, precision, recall, F1 measure, Mean Squared Error (MSE), bias and variance and it is compared with the state-of-the-art classification schemes. The outcomes of the analysis reveal that the proposed HEM ensures that the CKD stage prediction is more accurate with 99.16%, 100%, 100% in reduced feature set I, set II, set III and with cross validation score of 97.85%, 99.28%, and 99.64% with reduced features set I, set II and set III respectively.
Efficacy of Steroid Therapy for Fukuyama Congenital Muscular Dystrophy
Authors: Murakami Terumi , Sato Takatoshi , Adachi Michiru , Ishiguro Kumiko , Shichiji Minobu , Tachimori Hisateru , Nagata Satoru , Ishigaki Keiko 
Published: June 2021

Abstract
Background: Although a fundamental treatment for Fukuyama congenital muscular dystrophy (FCMD) is not developed yet, several reports have suggested that steroid therapy could be effective for FCMD; however, no independent intervention studies have been conducted.Objective: This study aimed to evaluate the efficacy of steroid therapy for restoring motor functions in FCMD patients.Subjects: This study involved 3-to-10-year-old FCMD patients who exhibited a decline in motor functions, requested steroid therapy.Methods: The dose regimen started with oral administration of prednisolone at 0.5 mg/kg every other day and was increased to 1.0 mg/kg if the response was insufficient. The motor functions of the patients were evaluated and compared using the Gross Motor Function Measure (GMFM). Statistical analysis was performed using the Wilcoxon signed-rank test (significance level, P ≤ 0.05)Results: The mean age of FCMD patients at the onset of steroid therapy was 8.10 years (SD, 2.14 years). The mean GMFM difference between before and after the steroid therapy was +1.23 (SD, 1.10), with a P value of 0.015 representing a significant improvement in the GMFM.Conclusions: Our results indicate that steroid therapy may contribute to the maintenance and improvement of the motor functions of advanced-stage FCMD patients.Clinical Trial Registration: Registration Number: UMIN000020715, Registration Date: 01/02/2016.
Temporal Analysis and the Joint Probability Distribution of Rainfall Indexes in the Taihu Lake Basin, China
Authors: Hao Manqiu , Gao Cheng , Chen Jian 
Published: June 2021

Abstract
Taking the Taihu Lake Basin as an example, in this study, the characteristics of the rainfall factors in the study area were analyzed using daily rainfall data from 1955 to 2018. Three factors, i.e., the contribution rate of the rainfall in the flood season, the rainfall frequency, and the maximum daily rainfall, were selected to determine the optimal probability distribution function for each single factor. Furthermore, the root mean square error (RMSE) goodness of fit test was used to determine the optimal copula function for the three-dimensional joint probability distribution characteristics of the rainfall factors. The research results show that the three-dimensional copula joint probability method contains much more information than the results of the single variable probability calculation. The copula function can be used to analyze the multi-dimensional joint distribution of rainfall factors, which can fill the gap in research on multiple rainfall factors.
Crop Simulation Mediated Assessment of Climate Change Impact on Rice Grown Under Temperate High Altitude Valley of Kashmir
Authors: Shakoor Ab. , Sofi Najeebul Rehman , Shah Ashaq H. , Khan Gazala H. , Sofi Mehrajuddin , Mohiddin Fayaz A. , Wani Shabir A. , Mehdi S. Sheeraz , Bhat Nazir A. , Shikari Asif Bashir 
Published: June 2021

Abstract
The major parameters that affect climate change pattern include the latitude, ocean currents, wind, air pressure, elevation and relief. These parameters can influence the behaviour of the crops and their performance in time and space. The study was carried out to gain the perspicacity about the prospectus of cultivation of ruling japonica rice variety, K-332 under climate change scenario for next few decades across temperate high altitude ecology (2000-2300m msl) of Kashmir valley located within North-western Himalayas. Grown over a long period of time, K-332 was released in the year 1972 and is still popular among the farmers. The variety has supported the food security in rice growing hilly and mountainous areas of the region spread across 50,000 ha area. A study was carried out with effect from the year 2000 up till 2019 for 20 years in order to understand the phenology and stability of yield performance of the variety under changing climate scenario using DSSAT CERES crop simulation model (v.4.7). Model simulated traits namely, days to anthesis, days to physiological maturity, tiller number and grain yield marked an agreement with observed data with low mean absolute error, high R2 (0.85-0.94), high modified index of agreement (0.74-0.85) and modified modelling efficiency varying from 0.47 for the traits. Our observations lead to the projections under climate change scenario and was concluded that the days to flowering and maturity were projected to decrease by 1.96-8.82 % and 2.11-9.86 %, respectively, with increase in air temperature. However, the tiller number and grain yield were predicted to increase by 3.80 and 2.37 % respectively, under RCP 2.6 during 2021-2050 to 19.00 and 8.70 % under RCP 8.5 during 2075-2099. The study revealed the scope of rice cultivation with the same variety in high altitudes with a potential to not only sustain the climate change effect but exploit it for better yield performance due to moderation of low temperature stress and the reversing of the limitations thus far posed by sub-optimal temperatures and short growing period.
Legacy Effects of Extreme Drought on the Belowground Bud Bank of Bunchgrass and Rhizomatous Steppe Communities in Inner Mongolia
Authors: Luo Wentao , Qian Jianqiang , Guo Ziyue , Muraina Taofeek O. , Te Niwu , Griffin-Nolan Robert J. , Song Lin , Xu Chong , Yu Qiang , Liu Dan 
Published: June 2021

Abstract
Belowground bud banks play a crucial role in plant population regeneration, community dynamics and ecosystem functions in response to environmental change and disturbance. In mesic grasslands, belowground bud banks are largely resistant to short-term drought. The sensitivity of belowground bud banks to long-term extreme drought in semiarid steppes is less understood. Here, we investigated the legacy effects of a 4-year experimental drought (i.e., 66% reduction in growing season precipitation) on belowground bud density, aboveground shoot density and their relationship (represented by the meristem limitation index-MLI) in two temperate semiarid steppes with different dominated plant growth forms (i.e., bunchgrass vs. rhizomatous grass). Measurements were made during the first recovery year following drought; thus, we reported the legacy effects of drought on belowground bud bank. Results showed that at community level the densities of both belowground buds and aboveground shoots decreased while there was no change in MLI. However, drought had no significant influences on belowground buds, aboveground shoots and MLI of the dominant plant growth form. The legacy effects of drought were largely dependent on plant community type and growth form. Specifically, due to their cluster/phalanx clonal growth, bunchgrasses and communities they dominated were characterized by greater meristem limitation compared with rhizomatous grasses. Our study implies that integrating belowground bud bank demography into the predictive model of community dynamics and ecosystem functions in response to climate change should be considered to understand the differing responses among community type and dominant plant groups.