Miracle-dz/UniFAR-FTUs huggingface dataset:
Peer Mentoring as an Avenue to Explore in Kidney Transplantation: Kidney Transplant Recipients’ Perspectives on Peer Mentoring

Background. Kidney transplant recipients (KTRs) face numerous challenges following transplantation. Given that healthcare professionals do not necessarily have first-hand experience living with or waiting for a transplant, it may be hard for them to communicate with and help patients when it comes to transplant-related issues. KTRs have experiential knowledge, which could enable them to help other patients going through similar situations. Peer mentoring involves pairing mentees with individuals who have had similar experiences, to provide training, information, and emotional support. The aim of this study was to gather KTRs’ perspectives on a potential peer mentoring program. Methods. A total of 13 KTRs took part in focus groups between June 2017 and March 2018. The focus group discussions were digitally recorded and transcribed. The content of the interviews was analyzed using the qualitative data analysis method, including deductive and inductive coding techniques. Results. All participants were supportive of a peer mentoring program as it is a convenient and user-friendly way to address posttransplant concerns. Peer mentoring was also viewed as a way to communicate with other patients who have gone through similar experiences and relieve the loneliness and isolation some participants experienced subsequent to their transplant. Young female participants expressed a need to connect with other young, female transplant recipients to be able to discuss issues such as pregnancy, sexuality, and body image. Conclusions. KTRs who participated in this study expressed a need for the development of a peer mentoring program to help other KTRs face the medical (including cardiovascular disease), social, and psychological challenges associated with kidney transplantation. The results of this study are the first step in the development of a structured peer mentoring program at the kidney transplantation clinic.
Algoritmo de Seleção de Classificadores para Reconhecimento de Padrões

Resumo—Este artigo apresenta uma proposta de algoritmo para classificação de padrões baseado em comitê de classificadores. A seleção de classificadores é realizada entre as soluções não dominadas geradas por um algoritmo de otimização multiobjetivo. Esta seleção é baseada em uma técnica de exclusão visando minimizar o espaçamento médio das soluções (spacing) no espaço de objetivos. Para validação da proposta foram utilizados classificadores do tipo AdaBoost. O algoritmo multiobjetivo utilizado para geração das soluções não dominadas foi o DFMOPSO (Diversity Factor Multi-Objective Particle Swarm Optimization) e o mecanismo de exclusão de classificadores foi baseado em spacing. Os comitês de classificadores gerados apresentaram soluções que dominam as soluções da frente de Pareto gerado a partir do treinamento efetuado. Após aplicar o algoritmo de exclusão de classificadores, obteve-se um resultado melhor do que o comitê com todas as soluções do Pareto inicial. Foram realizados testes num problema de detecção de plaquetas e nesta base observou-se uma melhoria de 28% na taxa de falso negativo (miss rate) e 48% na taxa de falso positivo. Palavras chave—otimização multi-objetivo, AdaBoost, comitês, seleção de classificadores.
Alveolar Recruitment Maneuver Reduces Cerebral Oxygen Saturation and Cerebral Blood Flow Velocity in Patients During Carotid Endarterectomy

Background This study aimed to determine the effects of alveolar recruitment maneuver (RM) on cerebral oxygen saturation and cerebral blood velocity in patients undergoing carotid endarterectomy (CEA) before clamping of the carotid artery. Material/Methods In this crossover exploratory study, all patients were randomized to undergo an RM (30 cmH2O of continuous airway pressure for 30 s) and a “sham” maneuver (SM; 5 cmH2O for 30 s), followed by an alternative intervention after a 5-min equilibration period. Near-infrared spectroscopy (NIRS) was used to monitor regional cerebral oxygen saturation (rSO2), and transcranial Doppler ultrasonography (TCD) to evaluate blood velocity of the middle cerebral artery (V-MCA). Changes in rSO2, V-MCA, mean arterial pressure (MAP), and heart rate (HR) in response to the 2 interventions were compared. Results A total of 59 patients underwent the study procedure. RM reduced rSO2, V-MCA, MAP, and HR, but these variables slightly changed during SM. A significant drop in rSO2 was observed immediately after RM compared with the baseline value (68.51±4.4% vs 64.12±5.15%; P<0.001). The decrease in rSO2 was higher during the RM than during the SM (−6±4% vs 1±2%; P<0.001). Similarly, change in V-MCA was more significant in response to RM than SM (−26±19% vs 19±16%; P<0.001). The V-MCA value changed from 39 cm/s to 29 cm/s after RM. In addition, V-MCA of the ipsilateral to the surgical side decreased more obviously than the contralateral side (−26±19% vs −20±17%; P=0.001). Conclusions An RM at 30 cmH2O of continuous airway pressure for 30 s decreased rSO2 and V-MCA. In addition, MAP and HR were affected.
Rothamsted Repository Download

Permeable sedimentary bedrock overlain by glacial till leads to large storage capacities and complex subsurface ﬂow pathways in the Canadian Rocky Mountain region. While some inferences on the storage and release of water can be drawn from conceptualizations of runoff generation (e.g., runoff thresholds and hydrologic connectivity) in physically similar watersheds, relatively little research has been conducted in snow-dominated watersheds with multilayered permeable substrates that are characteristic of the Canadian Rocky Mountains. Stream water and source water (rain, snowmelt, soil water, hillslope groundwater, till groundwater, and bedrock groundwater) were sampled in four sub-watersheds (Star West Lower, Star West Upper, Star East Lower, and Star East Upper) in Star Creek, SW Alberta, to characterize the spatial and temporal variation in source water contributions to streamﬂow in upper and lower reaches of this watershed. Principal component analysis was used to determine the relative dominance and timing of source water contributions to streamﬂow over the 2014 and 2015 hydrologic seasons. An initial displacement of water stored in the hillslope over winter (reacted water rather
PREPARATION, EVALUATION AND BIOAVAILABILITY STUDIES OF PROPAFENONR HYDROCHLORIDE LOADED WITH GUM MICROSPHERES FOR CONTROLLED STUDY

The objective of the present study was to prepare the propafenone Hydrochloride(P) loaded into natural and modified gums microspheres by emulsification solvent evaporation technique utilizing wetting agent. Effect of different process variables on drug loading studies during the preparation of microspheres was optimized. Sieve analysis data indicated that the prepared microspheres were in the range of 106 to 500 µm. The angle of repose, % Carr’s index and tapped density were well within the limit, indicating reasonable good flow potential for the prepared microspheres.SEM photomicrographs and sphericity factor confirms the prepared formulations are spherical in nature. DSC studies and FTIR spectra showed that the encapsulated drug was stable in the prepared formulations. XRD studies revealed the crystalline nature of the drug. Drug discharge from prepared formulations were studied and compared with commercially available controlled release formulation Rhothmonorm ® ER - 225 mg. It was observed that, there was no significant release of drug at gastric pH. Drug release kinetics from the formulations followed different transport mechanisms. From the results, P loaded Modified Locust bean gum (PXML1) A single dose randomized two period cross over study was conducted to compare the pharmacokinetics and bioavailability of P (225mg) from test formulation (product B – PXML1 - P loaded MLBG) with standard formulation (Product A Rhothmonorm ® ER - 225 mg capsule). The observed mean values Tmax, Cmax, AUC0 -∞, Ka. T half and Kel for products A & B does not show any significant statistical difference. From the dissolution point and invivo bio availability for products A & B could be considered bio equivalent. The drug release performance was greatly effected by the materials used in the microsphere preparation which allows maximum absorption in the intestine.
FACTORS INFLUENCING CONSUMERS’ SATISFACTION TOWARDS MALAYSIAN STREET FOOD: SPECIAL EMPHASIS ON INTERNATIONAL TOURISTS’ EMOTION

Tourist’s emotion has been considered to be a significant determinant of food tourism sector. Nonetheless, till today existing literatures lack adequate theories of how tourists’ positive emotions are developed during street food serving encounters. Therefore, this study is to plug the features affecting to international tourists’ emotion in street food industry in Malaysia. This study expected to investigate the factors creates positive emotions in tourists’ satisfaction. An instrument was framed by incorporating fifteen critical emotional dimensions of international tourists’ satisfaction. All dimensions in this study were measured using a 5-point Likert scale, where '5' indicates to strongly agree and '1' to strongly disagree. The researcher has selected 275 international tourists who visited Jalan Alor-Bukit Bintang and Jonker Street-Malacca and enjoyed different Malaysian Street Foods by the convenience sampling method and the factor analysis technique was utilized to identify the factors. The outcome of the analysis depicted that, respectful and charming, taste and consumption, food varieties and halal Foods, availability of food stall and fast services are the broad factors in developing positive emotions in the mind of international tourists about Malaysian Street Food. These factors will assist street food vendors to attract more international tourists to their stalls.
TD-DFT study of small organic molecules based on Boron subphthalocyanines by modifying axial substituents for organic photovoltaics

To boost the performance of solar cells (SCs), four non-fullerene π-conjugated acceptor compounds, including iodosubstituted (SubPcs) subphthalocyanines is π-conjugated rigid tetrahedral geometry aromatic molecule composed of three units combined around a boron atom bearing a macrocycle core with a perpendicular axial ligand. The C3 designed molecule shows the optoelectronic analysis is better than the reference molecule R due to absorption range because its range found to be nearer the reference compound as well as the absorption occur at 645.53 nm, 519 nm respectively. Examination of the frontier molecular orbital International Journal of Scientific and Research Publications, Volume 11, Issue 3, March 2021 447 ISSN 2250-3153 This publication is licensed under Creative Commons Attribution CC BY. http://dx.doi. org/10.29322/IJSRP.11. 03.2021. p11151 www.ijsrp. org (FMO) as well as transition density matrix (TDM) are performed that offers fundamental knowledge on the distribution of charges and electronic excitation, as well as the process of transition between the examined compound. The overall reported molecules show the charge density which is spread over the whole molecules. With a small band difference of 2.54 eV, the C3 compound effectively move their electron density from the maximum or higher energy state named as (HOMO) to the lowest energy state such as (LUMO). It has been shown that the structural tailoring of the terminal will efficiently modify the frontier molecular orbital such as HOMO and LUMO, captivation spectra, energy band difference, and open-circuit voltage and reorganization energy of the compounds under investigation. Our findings indicate that the compounds under examination acted as fine-donating materials. In addition, a few of the compounds under examination may be used as a hole as well as transport of electrons material for OSC.
Effect of M

We determined anti-Parkinson’s activity of M. chamomilla L. tea in chlorpromazine (CPZ) developed investigational animal model. In this research, effects of M. chamomilla L. tea 2.14ml/ kg P.O were studied on cataleptic behavior and its effect on brain histopathological changes and immunohistochemistry (IHC) in rats. The experimental design was developed by administering CPZ (3mg/kg, I/P) for twenty-one days to produce Parkinson’s disease-like symptoms to 4 animal groups. We observed that chlorpromazine significantly produced motor dysfunctions (catalepsy) in a time period of twenty-one days. The M. chamomilla L. significantly (P<0.005) minimized/shorten/taper down catalepsy in rats just like standard group (Levodopa/carbidopa treated group). The maximum reduction was observed from both treated and standard groups on the 21st day. M. chamomilla L. treated rats mid brain sections showed presence of proliferative blood vessels, increase cellularity with reactive glial cells as compared to CPZ group. Furthermore, immunostaining CD68 & CD21 of M. chamomilla L. treated rats mid brain region showed few CD68 cells & no polymorphs neutrophils after CD21 staining. Thus, this research work disclosed the neuroprotective effect of M. chamomilla L. tea against Parkinson’s disease-like symptoms or anti-Parkinson’s activity induced by CPZ.
Cancer Sites Prevalence among Current and Former Cigarettes Smokers: A study of Southern Punjab, Pakistan

Objectives: To see the prevalence of cancer sites among male smokers of the Southern Punjab, Pakistan. Methods: A cross-sectional sample of 211male cancer patients (aged: 19-80 years),belonging to the Southern Punjab was collectedfrom the Outdoor Ward of Cancer, Oncology Ward of Nishtar Hospital, Multan and Multan Institute of Nuclear and Radiotherapy (MINAR) Hospital. Information about socio-demographic, smoking-related characteristics and medical records of various types of cancers were recordedthrough self-made questionnaire. Some descriptive analysis i.e., means along with standard deviation (SD) of each quantitative variable and frequency along with their percentage of each categorical variable was calculated. For means age comparison, two sample independent t-test was used in the analysis. Results:Among the cancer patients, 79.1% were current smokers and 20.9% were former smokers.The mean (± SD) age to start cigarette smoking was reported to be 22.46 (±4.35) while mean age for smoking cessation (quit) was 46.23(±12.24) years. Among overall smokers, percentage of lung cancer is highest (28.4%), followed by stomach (19.4%) and esophageal cancer (19.0%). However, cancer of throat and urinary bladder both have equal prevalence (16.6%). The mean (± SD) age affected from cancerous disease was reported to be 47.59 (±12.68) years. Conclusion:Various cancer sites are dominant among Smokers in Southern Punjab, Pakistan. However, the percentage of lungs cancer was highest among all stated types.
Detection and Mapping of Monopiles in Offshore Wind Farms using Autonomous Surface Vehicles

This paper presents an algorithm for mapping monopiles from Offshore Wind Farms (OWF). The ASV (Au-tonomous Surface Vehicle) surveys the environment, detects and localizes monopiles using situational awareness system based on LiDAR, GPS and IMU (Inertial Measurement Unit) data. The position of the monopile is obtained based on the relative localization between the extrapolated center of the structure that was detected and the ASV. A positive detection of a monopile is referenced to a global positioning frame based on the GPS. Results in a simulator environment demonstrate the ability of this situational awareness system to identify monopiles with a precision of 0.005 m, which is relevant for detecting structural disalignments over time that might be caused by the appearance of scour in the structure's foundation.
Application of Neural Networks in the Tasks of Automation at Industrial Enterprises

currently, it is becoming relevant to use modern data analysis tools for automation of processes at industrial enterprises. One such tool is neural networks, which are heavily used in areas where forecasting and deep understanding of data are required. This article discusses the possibility of using neural networks in the tasks of monitoring and predicting gas imbalance in gas distribution systems. An algorithm for collecting and processing data is proposed, a mechanism for training neural networks and generating predictive values is disassembled, directions for further development of this topic are proposed
Dependence of AM/PM non-linearity on source field-plate in GaN HEMTs

AM/PM non-linearity of GaN HEMTs is analyzed with the help of physics-based industry standard ASM-HEMT model. A commercial GaN HEMT device is modeled with ASM-HEMT model. Accurate large signal non-linear model is obtained. Next this calibrated model is used to analyze the AM/PM non-linearity. It is found that the non-linear source field-plate capacitance in GaN HEMTs has a large impact on its AM/PM behavior. This is due to the large drain-source Vds voltage swing at high output powers. Large Vds swings from few volts to above 100 V modulates the charge in source field-plate region. This causes capacitance due to the source field-plate to be highly nonlinear” in-turn affecting the AM/PM behavior of the device.
Mixed Signal Separation Method Combined Deconvolution and Iterative Beamforming

In underwater acoustic communication network, the ability to separate the mixed signals is essential for achieving high-speed communication without collision. In order to improve the performance of the signal separation algorithm, this paper proposed a signal separation algorithm based on direction of arrival estimation using uniform circular array. The basic idea of the algorithm is to estimate the direction of the arrival signal by using deconvolution beamforming algorithm based on uniform circular array. According to the results of the direction of arrival estimation from different sources, using iterative beamforming to recover signal. The simulation results show that this signal separation algorithm is better than the independent component correlation (ICA) algorithm and conventional beamforming (CBF) method, the original signal is correlated with the separated signal significantly. The method proposed in this paper has a better signal separation effect and lower complexity.
Guest Editors’ Introduction: The Resurgence of Open- Source EDA Technology

<bold>In the 1980s</bold>, the academic community produced several very high-quality electronic design automation (EDA) tools that spawned the EDA industry. Tools such as Spice <xref ref-type="bibr" rid="ref1">[1]</xref>, Espresso <xref ref-type="bibr" rid="ref2">[2]</xref>, and SIS <xref ref-type="bibr" rid="ref3">[3]</xref> became the foundation of EDA companies. Open-source tools enable rapid innovation and create an ecosystem for scientific development. In recent years, the cost and difficulty involved in the design of integrated circuits (ICs) in advanced nodes have stifled hardware design innovation and have raised unprecedented barriers to bring new design ideas to the marketplace. Unlike the thriving software community, which enjoys a large number of open-source operating systems, compilers, libraries, and applications, the hardware community lacks such a modern ecosystem. With the advent of open silicon IP ecosystems, such as RISCV, Chips Alliance, and Free Silicon Foundation, the time has come to reinvigorate the open-source movement in EDA tools. Recent programs from governmental agencies aim to jump-start the development of open-source EDA tools to reduce the cost and turnaround time of hardware design.
2-D Analysis Method for Synchronous Reluctance Motors Considering End-Plate Effect

This paper presents a 2-D analysis of synchronous reluctance motors (SynRMs) considering the end-plate effect. In an electric machine with a laminated steel core, an end-plate is often attached to the rotor core to support the structural robustness of the machine. End-plates occasionally comprise carbon-steel, which changes the magnetic behavior of the electric machine. Thus, an electric machine that utilizes the 3-D finite element analysis (FEA) should be designed to consider the comprehensive magnetic flux path. However, the application of 3-D FEA for the whole design process is computationally expensive. Therefore, we proposed a 2-D FEA-based design strategy that can consider the additional magnetic path of the end-plate for SynRMs. The proposed analysis method was developed based on the magnetic equivalent circuit analysis and <inline-formula> <tex-math notation="LaTeX">$d$ </tex-math></inline-formula>- and <inline-formula> <tex-math notation="LaTeX">$q$ </tex-math></inline-formula>-axis flux linkage calculation. The effectiveness of the proposed method was verified by presenting the actual design case of a SynRM and via an experimental study.
Configurable Test Environment for RTL Simulation and Performance Evaluation of Network on Chip as Part of SoC

Nowadays, the System on Chip (SoC) industry is rapidly developing. One of the objectives of SoC developers is to provide the most efficient communication between computational units. One of the possible solutions is using Networks on Chip (NoC) of various topologies with different routing algorithms. In this paper, a configurable test environment designed for cycle-accurate NoC simulation as part of a SoC, used to provide statistics about network behavior during test process, is presented. The environment is designed to evaluate NoC performance as part of a specific SoC at the development stage, when there is a full or partial RTL description of the system. The environment configuration options, its application area, general scheme and calculated NoC performance characteristics are considered. As a conclusion, an example of using the environment to evaluate the performance of a specific NoC is described in detail.
A method of formation transforming for multi-UUVs with autonomous choosing function

In this paper, a new method that applied autonomous choosing function to solve the coordinated control problem of autonomous formation transforming for the multi-UUVs with double independent communication topologies which are used to send position and velocity information is investigated. Firstly, to face the low communication problem of underwater, traditional communication topology is divided into two parts, which are respectively position communication topology and velocity communication. Secondly, we use the oriented graph with weight based on the consensus theory to solve the problems of autonomous decentralization and reorganization during the process of formation transformation. And we also proposed a new kind of coordinated control input with autonomous choosing function for the autonomous transformation of multiple UUVs formation. Finally, we tested the stability and convergence of the controller based on simulation.
ProLog2vec: Detecting Novices’ Difficulty in Programming Using Deep Learning

Encountering difficulties that emerge in programming learning are ubiquitous for novices. Those difficulties may reduce novices’ motivation for learning, even lead them to drop out. Automatically detecting the difficulties has been proved as an effective way to solve this problem. A potential method for the detection is to identify programmers’ behavioural patterns based on the sequences of programming events (e.g., editing, deleting, or debugging) when they experience programming difficulties. However, due to the diversity of these events, the plentiful difficulties generated from novices, and the naturally complicated behavioural patterns, accurately detecting the difficulties remains challenging. In this study, we propose a deep representation based on the programming events as the pre-treatment of a recurrent neural network with an attention mechanism to detect programming difficulty. This representation can be conducive to encode the complicated behavioural features (e.g., co-occurrence, sequences, and time intervals of the events) of the difficulty patterns for deep learning models. The results show that the accuracy of our method reaches 94%, which increases by 16% compared with the traditional machine learning model.