Miracle-dz/UniFAR-FTUs huggingface dataset:
A Clustering Approach to Identify High-Risk Taxi Drivers Based on Self-Reported Driving Behavior

This study aimed to evaluate the driving behavior of taxi drivers in Isfahan, Iran, and assess the probability of a driver being among the high-risk taxi drivers. To identify risky driving behaviors among taxi drivers, the Driver Behavior Questionnaire (DBQ) was used. By collecting data from 548 taxi drivers, exploratory factor analysis identified the significant components of DBQ including “Inattention errors,” “Inexperience errors,” “Lapses,” “Ordinary violations,” and “Aggressive violations. ” K-means clustering was conducted to cluster taxi drivers into three risk groups of low-risk, medium-risk, and high-risk taxi drivers based on their self-reported annual traffic crashes and fines. In addition, logistic regressions identified the extent to which drivers’ crashes and traffic fines are related to their driving behavior, and therefore, what aberrant driving behaviors are more important in explaining the presence of taxi drivers in the high-risk cluster. The results revealed that the majority of participants (66.78%) were low-risk taxi drivers. Aggressive violations and ordinary violations were significant predictors of taxi drivers being in the high-risk group, while inattention errors and aggressive violations were significant predictors of being in the medium/high-risk cluster. The findings from this study are valuable resources for developing safety measures and training for new drivers in the taxi industry.
Eigen-based dictionary for ultra-wideband compressed sensing

In practice, sub-Nyquist rate sampling schemes are desirable in ultra-wideband (UWB) applications. Due to the fact that UWB signals are sparse in nature, compressed sensing (CS) is regarded as a promising technology which enables low rate sampling of UWB signals. In CS, a crucial issue is to find the best dictionary which statistically achieves the sparsest representation of the target signals. This is because that the number of measurements (sampling rate) required by CS to reconstruct the original signals is proportional to the sparseness. In this paper, we propose an eigen-based dictionary for CS-based UWB channel estimation and signal detection, where the eigenvectors of the covariance matrix of the UWB channel are used as the elements of the dictionary. For ease of implementation, the generalized rotation matrix, instead of the Gaussian random matrix, is employed as measurement matrix and orthogonal matching pursuit (OMP) algorithm is employed to reconstruct original UWB signals. Simulation results over realistic channels show that the proposed dictionary outperforms conventional dictionaries.
Impulsive Buying Behavior: Implementation of IT on Technology Acceptance Model on E-Commerce Purchase Decisions

This study aims to determine the impact of implementing the Information System Technology Acceptance Model in supporting the tendency to use applications and impulse buying behavior on purchase decisions Shopee E-Commerce. This research approach uses quantitative research. The primary data sources used in this study are preliminary data obtained from questionnaires and secondary data. This research was conducted in the city of Makassar. The population in this study was drawn from the infinite population, with a sample of 315 respondent who were students in Makassar City. Data analysis used the validity test, reliability test, R-square test, F-square test, direct effect test, and partial least square (PLS) hypothesis submission. The results of this study indicate that the Technology Acceptance Model variable has a positive and significant effect on the Purchase Decision variable. Likewise, the impulsive buying behavior variable has a positive and significant effect on the purchase decision variable. The relationship between these variables is included in the dominant category of class I. Then the influence of the TAM on impulsive buying behavior is included in the predominant type of class II. This study's theoretical and managerial implications explain that the TAM and impulsive buying behavior can improve purchase decisions.
Determination and analysis of TOU (time-of-use) power price based on DSM(demand side management) and MCP(marketing clearing price)

Under power market circumstance, if reasonable power price to consumers is determined, consumers can be motivated to take part in innovation of power industry and to adjust modes of power consumption. Thus the objective of making load in a stable level and improving efficiency and stability of power systems can be obtained. As one of power prices to consumers, TOU power is widely applied in many countries. Moreover, it is one of important approaches of DSM and can shift load and reduce cost of consumers' power purchase. In this paper determination of power price of flat time period is studied and a new approach is put forward which is determine power price via MCP; determination of TOU power price is studied and mathematical model of TOU power price is developed based on DSM objective and MCP; simulation algorithm is designed according to mathematical model and simulation is made via MATLAB and data of one region in Zhejiang province. Simulation results indicate that TOU power price determined in this paper can shift load to a satisfactory level and reduce cost of consumers' power purchase. Merits and defects of TOU power price determined in this paper are got through comparison.
Male Breast Cancer: From Molecular Genetics to Clinical Management

Simple Summary Male breast cancer (MBC) is a rare disease. Genetic factors predispose to male breast cancer. Germline and/or genetic and/or epigenetic alterations at the somatic level identify a subset of male breast cancer that could differ from female breast cancer (FBC). Cancer genetic counseling should be included in the work-up of male breast cancer to identify the possible genetic origin of the tumor and to offer patients and their at-risk family members adequate management. Abstract MBC is a rare disease accounting for almost 1% of all cancers in men and less than 1% of breast cancer. Emerging data on the genetic drivers of predisposition for MBC are available and different risk factors have been associated with its pathogenesis. Genetic alterations, such as pathogenetic variants in BRCA1/2 and other moderate-/low-penetrance genes, along with non-genetic risk factors, have been recognized as pathogenic factors for MBC. Preventive and therapeutic implications could be related to the detection of alterations in predisposing genes, especially BRCA1/2, and to the identification of oncogenic drivers different from FBC. However, approved treatments for MBC remain the same as FBC. Cancer genetic counseling has to be considered in the diagnostic work-up of MBC with or without positive oncological family history. Here, we review the literature, reporting recent data about this malignancy with a specific focus on epidemiology, and genetic and non-genetic risk factors. We introduce the perspective of cancer genetic counseling for MBC patients and their healthy at-risk family members, with a focus on different hereditary cancer syndromes.
The influence of losses in the core of an inductor on characteristics of the boost converter

In the paper the influence of core losses on characteristics of the boost converter is considered. In calculations, the average electrothermal models of the diode-transistor switch and of the inductor are used. The applied electrothermal models and the obtained results of calculations are presented. The selected results of calculations are compared with the results of measurements. The influence of such factors as converter load resistance and frequency of the control signal and lossiness of the core on characteristics of the considered converter and the loss of energy in the inductor are discussed.
The MIRIAM Robot: A Novel Robotic System for MR-Guided Needle Insertion in the Prostate

Early prostate cancer detection and treatment are of major importance to reduce mortality rate. magnetic resonance (MR) imaging provides images of the prostate where an early stage lesion can be visualized. The use of robotic systems for MR-guided interventions in the prostate allows us to improve the clinical outcomes of procedures such as biopsy and brachytherapy. This work presents a novel MR-conditional robot for prostate interventions. The minimally invasive robotics in an magnetic resonance imaging environment (MIRIAM) robot has 9 degrees-of-freedom (DoF) used to steer and fire a biopsy needle. The needle guide is positioned against the perineum by a 5 DoF parallel robot driven by piezoelectric motors. A 4 DoF needle driver inserts, rotates and fires the needle during the procedure. Piezoelectric motors are used to insert and rotate the needle, while pneumatic actuation is used to fire the needle. The MR-conditional design of the robot and the needle insertion controller are presented. MR compatibility tests using T2 imaging protocol are performed showing a SNR reduction of 25% when the robot is operational within the MR scanner. Experiments inserting a biopsy needle toward a physical target resulted in an average targeting error of 1.84mm. Our study presents a novel MR-conditional robot and demonstrated the ability to perform MR-guided needle-based interventions in soft-tissue phantoms. Moreover, the image distortion analysis indicates that no visible image deterioration is induced by the robot.
Screen Printing for Perovskite Solar Cells Metallization

In recent years, Perovskite solar cells have been experiencing a fast increase in their efficiency. Therefore, regardless of their stability problems, Perovskite devices are poised to reach the commercial stage in a near future. Thus, the inclusion of mature processing techniques could become essential in order to reduce manufacturing costs, from the standpoint of large-scale production. The present paper summarizes the methodology followed and first results obtained by using screen printing techniques in a clean room environment, for providing the deposition of metallic contacts, for manufacturing perovskite solar cells. Different pastes and inks were analyzed throughout the research, looking for the best possible performance behaviors, by taking into consideration substratefriendly and low temperature depositions processes. Thus, silver pastes and inks commonly used for contact metallization in other technologies were tested. Drying processes were performed at low temperatures, in short-time periods, in order to avoid damaging the molecular nature of the deposited layers. Finally, the quality of the resulting contacts was evaluated to establish the electrical properties.
Report to the Licensing Commission : summary evaluation of the Alice Springs liquor trial

An evaluation was required to focus on “the overall effect of the trial restrictions and the complementary measures” and this report presents the results of that evaluation. In accord with the Terms of Reference given for the evaluation, the report contains recommendations about licence conditions and related matters. Parts of the report consider individual components of the trial and makes some associated judgements, but the focus is on the impact of the overall package of initiatives.
30 nm physical gate length CMOS transistors with 1.0 ps n-MOS and 1.7 ps p-MOS gate delays

Planar CMOS transistors have been fabricated to evaluate the 70 nm technology node using conventional transistor design methodologies. Conventional CMOS transistors with 30 nm physical gate length were fabricated using aggressively scaled junctions, polysilicon gate electrode, gate oxide and Ni silicide. These devices have inversion Cox exceeding 1.9 /spl mu/F/cm2, n-MOS gate delay (CV/I) of 0.94 ps and p-MOS gate delay of 1.7 ps at V/sub cc/=0.85 V. These are the smallest CV/I values ever reported for Si CMOS devices. The transistors also show good short channel control and subthreshold swings. The n-MOS and p-MOS have drive currents equal to 514 /spl mu/A//spl mu/m and 285 /spl mu/A//spl mu/m respectively with I/sub off/ at or below 100 nA//spl mu/m at Vcc=0.85 V. The saturation gm is equal to 1200 mS/mm for n-MOS and 640 mS/mm for p-MOS. These are among the highest gm values ever reported. The junction edge leakage is reasonably low with less than 1 nA//spl mu/m at 1.0 V and 100 C for both n-MOS and p-MOS. These encouraging results suggest that the 70 nm technology node is achievable using conventional planar transistor design and process flow.
Mission planning for coupled human-robot teams using adaptive human performance models

The increasing prevalence of autonomous robots in a variety of domains has motivated the development of task allocation and scheduling algorithms which enable cooperative multi-robot teams to execute missions in a coordinated fashion. These missions often entail completing discrete tasks in distinct locations to maximize reward (e.g. information) while minimizing cost (e.g. fuel and time) and adhering to spatial and temporal constraints (e.g. vehicle dynamics and task time windows). Traditional problem formulations typically assume the team to be composed entirely of independent, autonomous vehicles. However, many current and future applications require tight coordination between humans and autonomous systems. Existing algorithmic approaches to multi-agent planning do not extend well to operations in which humans cooperate closely with robotic teammates due to the dynamic and stochastic nature of human performance. Reliable prediction of human task execution is challenging, and even proven models are subject to time-varying characteristics (e.g. fatigue and distraction) as well as differences between individuals (e.g. experience and skill). The difficulty of accurately modeling human performance demands a planning architecture that is highly responsive to heterogeneous, hard-topredict agents. This thesis presents fast algorithms that integrate humans into the planning problem using well-established models from the human factors community to produce task allocations and schedules for tightly coupled human-robot teams. Humans are treated as dynamic agents, and feedback from their realized performance is leveraged to adapt agent models in real-time. The efficacy of this approach is investigated through multiple experiments involving human interaction with simulations of unmanned aerial vehicles (UAVs). Results indicate that adaptive human performance modeling provides distinct advantages in the context of mission planning for human-robot teams. Thesis Supervisor: Jonathan P. How Title: Richard C. Maclaurin Professor of Aeronautics and Astronautics
Multimodal Clinical Picture Fusion in Non-Subsample Contour let Develop into Domain

Multimodal medical image fusion will not help in diagnosing illnesses, it cuts lower round the storage cost by reduction in storage one fused image rather than multiple-source images. Thus far, extensive work remains created on image fusion technique with a few other techniques devoted to multimodal medical image fusion. The primary motivation should be to capture best information from sources in a single output, which plays a vital role in medical diagnosis. During this paper, a manuscript fusion framework is suggested for multimodal medical images according to non-sub sampled contour let transform. Multimodal medical image fusion, as a good tool for people clinical programs, is marketing using the introduction of various imaging approaches to medical imaging. The building blocks medical images are first modified by NSCT adopted by mixing low- and-frequency components. Two different fusion rules according to phase congruency and directive contrast are suggested and acquainted with fuse low- and-frequency coefficients. Further, the success within the suggested framework is moved with the three clinical good examples of persons battling with Alzheimer, sub-acute stroke and recurrent tumor. Experimental results and comparative study show the suggested fusion framework provides a great way to permit better analysis of multimodality images. Finally, the fused image is made from the inverse NSCT wonderful composite coefficients.
Comparison of Heart Rate Variability, QTc, and JT Interval Between Diabetic Patients and Healthy Controls: Role of Gender and Phases of Menstrual Cycle

Background and objectives Type 2 Diabetes mellitus (T2DM) is a heterogeneous group of metabolic disorders with variable degrees of insulin resistance and altered glucose metabolism. Increased attention in studying the role of gonadal hormones in diabetes is not only due to their relation to insulin sensitivity, and glucose tolerance but also to the gender-specific nature of the prevalence of various diabetic complications. The cyclical change in the hormone level in females will make it necessary to consider the menstrual cycle while analyzing the risk factors for diabetes. Hence, the role of gender and menstrual cycle in T2DM are analyzed here using the simple non-invasive cardiovascular risk indices like heart rate variability (HRV), QT interval corrected for heart rate (QTc), and JT interval. Materials and methods In this analytical study, T2DM patients in the age group of 18-45 years with less than five years duration from diagnosis and taking not more than two anti-hyperglycemic drugs were included. Time and frequency domains of HRV analysis, QTc, and JT intervals were compared with age and BMI matched control group. The comparison of these parameters was also made between two genders in the diabetic group and they were analyzed across different phases of the menstrual cycle in female diabetic patients when physiological variation in the gonadal hormones occurred as a natural phenomenon. Results HRV parameters were reduced and the QTc and JT intervals were prolonged in diabetic patients of both genders. Reduction in low-frequency (LF) band power and high-frequency (HF) band power of HRV analysis in diabetic females were statistically significant in the luteal phase of the menstrual cycle in comparison with age and BMI-matched healthy controls. There was no significant difference in the HRV parameters, QTc, and JT interval between the male and female diabetic groups. HF band power is significantly reduced in the menstrual phase and relatively higher in the follicular phase when compared to the luteal phase among female diabetic patients. Conclusion The reduced sympathetic and parasympathetic activity were observed in diabetic patients of both genders and they were significant in the luteal phase of diabetic females compared to the healthy control group. Vagal activity is relatively higher in the follicular phase of the menstrual cycle in female diabetic patients.
Mechanisms for the circulation of influenza A(H3N2) in China: A spatiotemporal modelling study

Circulation of seasonal influenza is the product of complex interplay among multiple drivers, yet characterizing the underlying mechanism remains challenging. Leveraging the diverse seasonality of A(H3N2) virus and abundant climatic space across regions in China, we quantitatively investigated the relative importance of population susceptibility, climatic factors, and antigenic change on the dynamics of influenza A(H3N2) through an integrative modelling framework. Specifically, an absolute humidity driven multiscale transmission model was constructed for the 2013/2014, 2014/2015 and 2016/2017 influenza seasons that were dominated by influenza A(H3N2). We revealed the variable impact of absolute humidity on influenza transmission and differences in the occurring timing and magnitude of antigenic change for those three seasons. Overall, the initial population susceptibility, climatic factors, and antigenic change explained nearly 55% of variations in the dynamics of influenza A(H3N2). Specifically, the additional variation explained by the initial population susceptibility, climatic factors, and antigenic change were at 33%, 26%, and 48%, respectively. The vaccination program alone failed to fully eliminate the summer epidemics of influenza A(H3N2) and non-pharmacological interventions were needed to suppress the summer circulation. The quantitative understanding of the interplay among driving factors on the circulation of influenza A(H3N2) highlights the importance of simultaneous monitoring of fluctuations for related factors, which is crucial for precise and targeted prevention and control of seasonal influenza.
Broad scale assessment of key drivers of streamflow generation in urban and urbanizing rivers

Urbanization is characterized by increased impervious cover, artificial drainage via sewers, soil compaction, and vegetation removal, which fundamentally alters how water moves across landscapes. Less rainwater and snowmelt infiltrate the subsurface and stream responses to precipitation are faster and larger compared to natural environments. While the impacts of catchment imperviousness on hydrologic processes have been widely investigated, the relationship between stream hydrologic response and infrastructure‐mediated hydrologic connectivity across a wide range of urban watersheds has not. This study examines the relative magnitude of control that catchment characteristics, total impervious area (TIA), and sewer‐corrected TIA have on broad‐scale spatial variability in hydrologic response. Sewer‐corrected TIA accounts for inter‐catchment water transfer via storm and/or combined sewer pipes and is feasible to estimate at the watershed‐scale using urban drainage asset data. Daily stream discharge data were used to calculate the Richards‐Baker Flashiness Index for 96 watersheds located across southern Ontario, Canada. For a subset of watersheds (n = 39) with suitable stream discharge and rainfall data, watershed average event runoff ratio (RR) was calculated, and watersheds with spatial sewer network data (n = 24), were used to assess if sewer‐corrected TIA is a better predictor of hydrologic response than TIA. As expected, stream flashiness and RR increased linearly as a function of TIA and sewer‐corrected TIA, however, sewer‐corrected TIA did not explain any additional variability in the response variables. Likewise, the relative control of catchment characteristics on the spatial variability in streamflow generation were negligible. Despite sewer‐corrected TIA not improving our understanding of broad scale variation in runoff response, it could be a useful metric to consider when assessing inter‐event variability in runoff response of, heavily urbanized sub‐catchments for improved understanding of flooding and water quality.
Evaluation of Sweat-Sampling Procedures for Human Stress-Biomarker Detection

Sweat is a potential biological fluid for the non-invasive analytical assessment of diverse molecules, including biomarkers. Notwithstanding, the sampling methodology is critical, and it must be assessed prior to using sweat for clinical diagnosis. In the current work, the analytical methodology was further developed taking into account the sampling step, in view of the identification and level variations of sweat components that have potential to be stress biomarkers using separation by liquid chromatography and detection by tandem mass spectrometry, in order to attain a screening profile of 26 molecules in just one stage. As such, the molecule identification was used as a test for the evaluation of the sampling procedures, including the location on the body, using patches for long-term sampling and vials for direct sampling, through a qualitative approach. From this evaluation it was possible to conclude that the sampling may be performed on the chest or back skin. Additionally, possible interference was evaluated. The long-term sampling with patches can be used under both rest and exercise conditions with variation of the detected molecule’s levels. The direct sampling, using vials, has the advantage of not having interferences but the disadvantage of only being effective after exercise in order to have enough sample for sweat analysis.