Miracle-dz/UniFAR-FTUs huggingface dataset:
A Model to Detect Significant Prostate Cancer Integrating Urinary Peptide and Extracellular Vesicle RNA Data

Simple Summary Prostate cancer is one of the leading causes of cancer-related death in men in the world, but a large proportion of men that are diagnosed with prostate cancer do not have a form of the disease that will cause them long term harm. Therefore, there is a need to accurately predict the aggressiveness of the disease without taking an invasive biopsy. In this study, we develop a test that can predict whether a patient has prostate cancer and how aggressive that cancer is. This test combines clinical measurements, levels of four genes collected from a fraction of the urine, and levels of six peptides found in urine. We found that this test, deemed ‘ExoSpec’, has the potential to improve the pathway for men with a clinical suspicion of prostate cancer and could reduce the requirement for biopsies by 30%. Abstract There is a clinical need to improve assessment of biopsy-naïve patients for the presence of clinically significant prostate cancer (PCa). In this study, we investigated whether the robust integration of expression data from urinary extracellular vesicle RNA (EV-RNA) with urine proteomic metabolites can accurately predict PCa biopsy outcome. Urine samples collected within the Movember GAP1 Urine Biomarker study (n = 192) were analysed by both mass spectrometry-based urine-proteomics and NanoString gene-expression analysis (167 gene-probes). Cross-validated LASSO penalised regression and Random Forests identified a combination of clinical and urinary biomarkers for predictive modelling of significant disease (Gleason Score (Gs) ≥ 3 + 4). Four predictive models were developed: ‘MassSpec’ (CE-MS proteomics), ‘EV-RNA’, and ‘SoC’ (standard of care) clinical data models, alongside a fully integrated omics-model, deemed ‘ExoSpec’. ExoSpec (incorporating four gene transcripts, six peptides, and two clinical variables) is the best model for predicting Gs ≥ 3 + 4 at initial biopsy (AUC = 0.83, 95% CI: 0.77–0.88) and is superior to a standard of care (SoC) model utilising clinical data alone (AUC = 0.71, p < 0.001, 1000 resamples). As the ExoSpec Risk Score increases, the likelihood of higher-grade PCa on biopsy is significantly greater (OR = 2.8, 95% CI: 2.1–3.7). The decision curve analyses reveals that ExoSpec provides a net benefit over SoC and could reduce unnecessary biopsies by 30%.
The Comparison of the Effects of three Meals Feeding a Day and Four Meals Feeding a Day in Type 2 Diabetes Mellitus Hospitalised Patients in Thammasat University Hospital on Blood Sugar Control and Enteral Feeding Complications

Background: As malnutrition negatively impacts hospital outcomes, hospitalised patients should receive proper nutritional management. Enteral nutrition (EN) is the most common route for non-volitional dietary support, usually fed four times/day. It is different from patients with volitional feeding who receive only three meals/day. This practice may affect blood glucose (BG) control in enteral feeding diabetes patients and increase nursing care's working burden. As a result, the study aimed to compare BG control and enteral feeding complications between 3 and 4 times feeding/day in hospitalised diabetes patients who require EN. Methods: A non-blind randomised controlled trial study was conducted in 37 types two diabetes hospitalised patients who required EN in Thammasat University hospital (TUH) from April 1 to December 31, 2019. The study patients were randomised and stratified by HbA1C at <8% or ≥8% to treat three meals or four meals/day. BG was controlled based on the insulin injection protocol of TUH. The study data was collected at least five days until the patients were stopped EN or discharged from the hospital. The primary outcome was a percentage of times BG was in controlled at ≤180mg/dl. The secondary outcomes were any feeding complications such as frequency of hypoglycemia, diarrhea and gastric residual volume over 100 ml before the next feeding time. Results: 37 patients were included. 83% of the patients were female, and the mean age was 78.44 ± 8.14 and 74.11 ± 10.03 years old in three meals and four meals feeding group, respectively. There were none significant in mean percentage of BG control between three times and four times/day either in HbA1C <8% and HbA1C ≥8% (52.21% and 68.43%, P value = 0.192 and 54.29% and 55.10%, P value = 0.942, respectively). Percentage of hypoglycemic events were none significant in 3 vs 4 times feeding at 1.70% vs 0.99%, P value = 0.552 and 2.53% vs 2.00%, P value = 0.727 in HbA1C <8% and HbA1C ≥8%, respectively. However, other complications were not significant between two groups. Conclusion: There was no clinically significant outcome on BG control and other complications between three and four times feeding/day in type 2 diabetes hospitalised patients. Therefore, three times feeding can be implied in clinical practice to reduce the burden of nursing care.
A salicide-bridged Trench capacitor with a Double-Sacrificial-Si3N4-Sidewall (DSS) for high-performance logic-embedded DRAMs : Special Issue on Advanced Memory Devices and Technologies

We propose a Double-Sacrificial-Si 3 N 4 -Sidewall (DSS) technology to develop a Salicide-Bridged trench-capacitor cell for high-performance logic-embedded DRAMs. Both the DSS technology and the Salicide-Bridging are fully compatible with high-performance CMOS processes. With these technologies, a storage node of a Substrate-Plate Trench (SPT) capacitor can be connected to a drain node even over a thick oxide collar during the silicidation.
A supervised fault tolerant control architecture for nonlinear systems

Scope. The growing complexity of physical plants and control missions inevitably leads to increasing occurrence, diversity and severity of faults. Availability, defined as the probability that a system or equipment will operate satisfactory and effectively at any point of time, becomes a factor of increasing importance. Fault Tolerant Control (FTC) is a field of research that aims to increase availability and reduce the risk of safety hazards and other undesirable consequences by specifically designing control algorithms capable of maintaining stability and/or performance despite the occurrence of faults. This report presents a novel FTC solution based on a hierarchical architecture in which an adaptive critic controller is overseen by a supervisor managing a dynamic model bank of fault solutions. Findings and conclusions. The presented work has demonstrated that the implementation of a synergistic combination of a reconfigurable controller and a fault diagnosis and controller malfunction detection supervisor based on three distinct quality indexes generates an efficient and reliable FTC architecture. The application of adaptive critic designs as reconfigurable controllers is shown to give the hierarchical algorithm the degree of flexibility required to deal with both abrupt and incipient unknown changes in the plant dynamics due to faults. The proposed supervisor system is used to accelerate the convergence of the method by loading new initial conditions to the controller when the plant is affected by a known abrupt fault. Moreover, the developed fault diagnosis decision logic is capable of recognizing new fault scenarios and assimilating them online to the dynamic model bank, along with parameters for the corresponding controller. The introduction of the weight quality index has made possible to distinguish between faults in the plant and controller malfunctions caused by online training divergence or local minima convergence. In order to achieve application-specific key FTC specifications, a methodology for initializing and tuning twelve distinct parameters of the quality indexes was also developed. Finally, a series of key steps that form the basis for the fault development information extraction module capable of providing the probability of occurrence of future faults to the user, are also included in this report.
Effects of Peer Tutoring on Pre-Service Teachers’ Physics Performance in Colleges of Education, Ghana

At Atebubu College of Education, the study attempted to determine the impacts of peer tutoring on gender and senior High school background courses of pre-service teachers in physics. To achieve the purpose of the study an action research design was used and a total number of 140 (78 males and 62 females) who are offering primary Education program were purposively selected. The major research tools were accomplishment tests, which were used to collect quantitative data from pre-service teachers. Using the independent sample t-test and one-way ANOVA to analyse the quantitative data. It was found that the male students’ performance in Physics (M = 8.81, SD = 0.927) does not significantly differ from that of the female students’ (M = 8.65, SD = 0.925) as a result of the peer tutoring method adopted for the study. The results of the one-way ANOVA show that there are no differences in the mean score of the pre-service teachers’ performance in Physics and their senior High School course background. It is therefore recommended among other things that the principals and head of science departments of Colleges of Education in Ghana should organise workshops, seminars and in-service training on how to utilize peer tutoring method effectively in teaching scientific concepts to pre-service teachers they training.
Frailty Factors and Outcomes in Patients Undergoing Orthopedic Surgery: Protocol for a Systematic Review and Meta-analysis

Background Frailty is an aggregate expression of susceptibility to adverse health outcomes because of age- and disease-related deficits that accumulate across multiple domains. Previous studies have found the presence of preoperative frailty is associated with an increased risk of adverse outcomes. The number of older adults undergoing orthopedic surgery is rapidly increasing. However, there has been no evidence-based study on the relationship between frailty and outcomes in patients undergoing orthopedic surgery. Objective The aims of this study are to investigate the association between frailty and outcomes in patients who underwent orthopedic surgery as well as patient factors associated with frailty. Methods The methods to be used for this systematic review are reported according to the PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-analysis Protocols) 2015 checklist. An extensive search will be conducted in PubMed, Embase, the Cochrane Library, and other mainstream databases. Any study where patients undergoing orthopedic surgery were assessed using a defined or validated measure of frailty and the association of frailty with patient factors and/or outcomes was reported will be included. A total of 2 researchers will independently screen articles for inclusion, with disagreements resolved by a third reviewer. We will perform a narrative synthesis of the factors associated with frailty, prevalence of frailty, effect of frailty on patient outcomes, and interventions for patients who are frail. A meta-analysis focusing on individual factors associated with frailty and the effect of frailty on patient outcomes will be performed, if applicable. The risk of bias will be evaluated. A subgroup analysis and sensitivity analysis will be performed. Results Literature searches were conducted in September 2021 and the review is anticipated to be completed by the end of July 2022. Conclusions This systematic review and meta-analysis will provide an overview of frailty and investigate the relationship between frailty and patient outcomes as well as the relationship between patient factors and frailty in patients undergoing orthopedic surgery. This study could potentially increase patients’ awareness of the outcomes associated with frailty, compel clinical specialties to further acknowledge the concept of frailty, and enhance the development of assessment instruments and tools for frailty. Trial Registration PROSPERO CRD42020181846; https://www.crd. york.ac. uk/prospero/display_record. php? RecordID=181846 International Registered Report Identifier (IRRID) DERR1-10.2196/28338
Purchase Intention on Sustainable products: A Case study on Free-Range Eggs in Taiwan

ABSTRACT Increasing of awareness on healthy and friendly environmentally products such as free-range eggs has become a concern of consumers in over the world including for Taiwanese consumers. There are many motives of free-range egg purchase, but this study only discussed four aspects, i.e. health consciousness, food safety concern, animal welfare concern, and price. This study examined the importance of those aspects and examined the relationship with purchase intention. The study was conducted on 228 Taiwanese respondents through an online survey held on November 2020 and February 2021. This study found that health consciousness was the main factor for Taiwanese consumers to choose free-range eggs followed by food safety concern, price and animal welfare concern. Health consciousness, food safety concern and the concern to animal welfare positively influenced the purchase intention, while price did not significantly influence the purchase intention. Females, the higher income level, and the respondents that cook more frequently have higher intention to buy free-range eggs, while the differences in age, educational levels, and number of family members do not influence the purchase intention.
Typology of teachers’ stages of concern for STEM education

ABSTRACT Background Despite the focus of many global education systems on science, technology, engineering, and mathematics (STEM) education, research on teachers’ concerns about this relatively new educational phenomenon remains scarce. Purpose This study used the concerns-based adoption model as the theoretical framework to examine the primary concerns expressed by teachers about STEM education and identified a typology of teachers based on the response patterns of their concerns. Sample A regionally representative sample of 331 primary and secondary school teachers of STEM-related subjects in Hong Kong participated in this study. Design and methods Data were collected from the teachers through an online, self-reported survey. Latent class analysis was used to profile teachers’ concerns about STEM education in this study, and multinomial logistic regression analysis was performed to regress the latent class outcome variable on the covariates. Results The majority of the teachers reported high levels of concern at all five stages of STEM education implementation, namely evaluation, information, management, consequence, and refocusing. Latent class analysis revealed three classes of teachers who were extremely concerned (49.1%), considerably concerned (43.5%), or moderately concerned (7.4%) about STEM education. Multinomial logistic regression analysis indicated that the teaching sector (primary or secondary) and participation in STEM education training significantly contributed to the prediction of the latent class outcome variable. Conclusion Given that 96% of the teachers in this study were trained in STEM education through workshops, seminars, courses, and trips, these findings highlight the necessity of designing personalized professional learning experiences for teachers and provide empirically supported evidence to indicate teachers’ preparedness and readiness to adopt STEM education as an educational innovation and directions for future research in related areas. This study also informs evidence-based policy making regarding STEM teacher education.
Historical and projected meteorological droughts in the Beninese Niger River Basin, Benin

Droughts are part of extreme meteorological phenomena that generate serious social, economic and environmental consequences. This study seeks to characterize the historical (1976-2019) and projected (2021-2050) meteorological drought in the Niger River Basin in Benin. To achieve this, the present study used daily rainfall observations and simulations of two regional climate models (RCM) (HIRHAM and REMO) from fifteen (15) rainfall stations installed around the basin. We used standardized precipitation indices (SPI) at 12 and 36 months’ time steps. To have a normal distribution, the data were transformed according to the Gamma distribution. The results revealed that over the historical period (1976-2019), SPI showed increasing trends with near-normal droughts occurring about 90% and the other drought classes around 10%. At the 12- and 36-month SPI scales, there are average durations of 17 and 32 months respectively and peaks of -1.52 and -1.12. In the future, according to the average representative concentration pathway of the RCM, the trends remain very low (1/1000 per decade) with near-normal droughts occurring at about 80 and 20% for the other classes. For SPI-12 and SPI-36 months, there are likely mean drought durations of 19 and 40 months respectively with likely mean peaks of -1.5 and -1.6. The changes assessment shows the decrease in near-normal droughts and the increase in moderate and severe droughts on average compared to the baseline period. Drought durations are also expected to increase with smaller peaks. These changes remain non-significant according to the Student's test.
Patient-Specific Inverse Modeling of In Vivo Cardiovascular Mechanics with Medical Image-Derived Kinematics as Input Data: Concepts, Methods, and Applications

Inverse modeling approaches in cardiovascular medicine are a collection of methodologies that can provide non-invasive patient-specific estimations of tissue properties, mechanical loads, and other mechanics-based risk factors using medical imaging as inputs. Its incorporation into clinical practice has the potential to improve diagnosis and treatment planning with low associated risks and costs. These methods have become available for medical applications mainly due to the continuing development of image-based kinematic techniques, the maturity of the associated theories describing cardiovascular function, and recent progress in computer science, modeling, and simulation engineering. Inverse method applications are multidisciplinary, requiring tailored solutions to the available clinical data, pathology of interest, and available computational resources. Herein, we review biomechanical modeling and simulation principles, methods of solving inverse problems, and techniques for image-based kinematic analysis. In the final section, the major advances in inverse modeling of human cardiovascular mechanics since its early development in the early 2000s are reviewed with emphasis on method-specific descriptions, results, and conclusions. We draw selected studies on healthy and diseased hearts, aortas, and pulmonary arteries achieved through the incorporation of tissue mechanics, hemodynamics, and fluid–structure interaction methods paired with patient-specific data acquired with medical imaging in inverse modeling approaches.
Design of a Broadband Filter

Design of a compact fllter having a broad pass band (73.3%) and low insertion loss (2.0dB) is presented. Here broadside coupled resonator elements are used for synthesis of the fllter in suspended stripline conflguration. A general synthesis method for broadband fllter design is demonstrated and the realization of the fllter in suspended stripline conflguration is also discussed. A speciflc example of flfteen section fllter having broadside-coupled resonator elements in edge coupled conflguration is described here. The design has been verifled by the simulation and results are presented.
Bio-Mapping of Microbial Indicators to Establish Statistical Process Control Parameters in a Commercial Beef Processing Facility

The objective was to conduct a bio-mapping of microbial indicators to determine statistical process control (SPC) parameters at a beef processing plant to establish microbiological baselines and process control parameters to support food safety management decisions. EZ-ReachTM swabs were used to collect 100 cm2 area samples at seven different locations throughout the beef processing line at four different regions on the carcass. Each of the eight sampling days evaluated included three samples collected per sampling location/carcass region for a total of 84 samples per day. Enumeration of total aerobic bacteria, Enterobacteriaceae, and Escherichia coli was performed on each sample. Microbial SPC parameters were estimated for each sampling point. Statistical differences between sampling points for all carcass locations (p < 0.001) followed an overall trend with higher values at pre- and post-evisceration with a continuous decrease until final interventions with a slight increase in counts during the chilling process and a final increase after fabrication. Variability at sampling points is the result of the nature of the process and highlights open opportunities for improvement of the food safety system. Microbial baselines and SPC parameters will help support decision making for continuous process improvement, validation of intervention schemes, and corrective action implementation for food safety management.
Multiplexing efficiency for MIMO antenna-channel impairment characterisation in realistic multipath environments

Multiple-input multiple-output (MIMO) systems in multipath environments suffer from high correlations (in the presence of small angular spreads of propagation waves and similar antenna patterns) and power imbalances (due to cross-polarisation discrimination of the propagation channel and possibly different antenna efficiencies). A simple performance metric that takes into account of the antenna-channel impairments on the MIMO system will be of great value for MIMO antenna characterisations. In this study, a generalised multiplexing efficiency (ME) is derived, which takes into account antenna pattern and polarisation mismatches in arbitrary multipath environments. In addition, it is shown that the generalised ME can characterise not only the throughput (or coded error rate) degradation but also the degradation of uncoded error rate. For verifying the generalised ME, the authors use both the correlation-based channel model (where correlations and power imbalances can be readily specified) and the more realistic WINNER+channel model (where correlations and power imbalances have to be indirectly controlled by changing the antenna setup).
A fuzzy control strategy to damp multi mode oscillations of power system considering UPFC

The growth of the demand for electrical energy leads to loading the transmission system near their limits. Thus, the occurrence of the LFO has increased. Low frequency oscillations (LFO) in power system occur usually because of lack of damping torque to overcome disturbances in power system such as changes in mechanical power. Traditionally, power system stabilizers (PSS) are being used to damp these oscillations. This paper investigates the stability analysis of the application of a unified power flow controller (UPFC) to enhance the damping of low frequency oscillations in a power system, in This paper presents a modified fuzzy control scheme for a UPFC such as supplementary damping controller to enhance damping. In this paper a linearized Heffron-Philips model of a power system with a unified power flow controller is developed. In order for a fuzzy rule based control system to perform well, the fuzzy sets must be carefully designed. A major problem plaguing the effective use of this method is the difficulty of accurately constructing the membership functions . the advantages of this method are their feasibility and increasing rate to damping, to show effectiveness of new fuzzy method in damping oscillation ,the proposed method is compared with a conventional method(lead-lag compensation) is presented. The validity of this method has been confirm by time domain simulation results whit Matlab. (5 pages)