Miracle-dz/UniFAR-FTUs huggingface dataset:
In-Wheel Switched Reluctance Motor Design for Electric Vehicles by Using a Pareto-Based Multiobjective Differential Evolution Algorithm

In this paper, an in-wheel switched reluctance motor (IW-SRM) is designed by using a Pareto-based multiobjective differential evolution algorithm (PMODEA) for electric vehicles (EVs). The performance of the IW-SRM varies by the dimension parameters of the motor. Estimation of optimum motor dimensions is a multiobjective optimization problem. In dimension optimization of the IW-SRM for direct-driven EVs, torque, torque per motor lamination volume, and efficiency are specified as objective functions. The PMODEA is proposed for the solution of the multiobjective optimization problem as designing IW-SRM, and nondominant optimum solution set consisting of motor dimensions is obtained. This study provides flexibility to the decision maker, in selection of desired one from the existing solution set. The analysis of the selected motor is realized by considering optimum dimensions via the finite-element method (FEM). Then, the IW-SRM is manufactured, and then, the experimental results are obtained for static and dynamic analysis. FEM analysis results are compared with the experimental results. Eventually, it is observed that the results are satisfactory.
scores in STEMI undergoing primary PCI : insights from a cohort of 1391 patients Comparison of the performance of the CRUSADE , ACUITY-HORIZONS , and ACTION bleeding risk

Aims: To compare the performance of the CRUSADE, ACUITY-HORIZONS, and ACTION risk models in the STsegment elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PPCI). Methods: We studied all consecutive patients with STEMI who underwent PPCI at our institution between 2006 and 2010 (n=1391). The CRUSADE, ACUITY-HORIZONS, and ACTION risk scores were calculated based on the patients’ clinical characteristics. The occurrence of in-hospital major bleeding (defined as the composite of intracranial or intraocular bleeding, access site haemorrhage requiring intervention, reduction in haemoglobin ≥4 g/dl without or ≥3g/dl with overt bleeding source, reoperation for bleeding, or blood transfusion) reached 9.8%. Calibration and discrimination of the three risk models were evaluated by the Hosmer−Lemeshow test and the C-statistic, respectively. We compared the predictive accuracy of the risk scores by the DeLong non-parametric test. Results: Calibration of the three risk scores was adequate, given the non-significant results of Hosmer−Lemeshow test for the three risk models. Discrimination of CRUSADE, ACUITY-HORIZONS, and ACTION models was good (C-statistic 0.77, 0.70, and 0.78, respectively). The CRUSADE and ACTION risk scores had a greater predictive accuracy than the ACUITY-HORIZONS risk model (z=3.89, p-value=0.0001 and z=3.51, p-value=0.0004, respectively). There was no significant difference between the CRUSADE and ACTION models (z=0.63, p=0.531). Conclusions: The CRUSADE, ACUITY-HORIZONS, and ACTION scores are useful tools for the risk stratification of bleeding in STEMI treated by PPCI. Our findings favour the CRUSADE and ACTION risk models over the ACUITYHORIZONS risk score.
Multimodal gas detection using molecular materials

In the field of sensors, molecular materials present interesting and potentially valuable features as sensing elements for real gas sensor applications. We review the different types of conductimetric transducers. Among them, resistors have been historically the most commonly exploited way for the detection and quantification of gas pollutants. Herein, we focus on new transducers, either based on the well-known OFETs, or on transducers combining two molecular materials, namely the p-n junctions and the brand new Molecular Semiconductor Doped Insulator (MSDI) heterojunctions. We also show how a molecular material-based microwave transducer can be used to detect ammonia. The adsorption of a target gas on a material induces a change in several physical parameters, such as the dielectric constant, the work function or the conductivity. The use of different transducers sensitive to the variation of these parameters appears to be a relevant methodology worthy of investigation.
Research Concerning the Springback Prediction in the Bending Operations

Nowadays firms are required to obtain high quality products in order to increase their competitiveness. The time required to obtain a new product is also essential to fight the concurrence. For manufacturers of bent parts, accurate prediction of the springback is very important. Therefore, this paper investigates the applicability of artificial neural networks (ANN) and adaptive neuro-fuzzy inference system (ANFIS) to predict the springback in the free cylindrical bending process of metallic sheets. The finite element method (FEM) was used to simulate the springback in the free cylindrical bending process and the results were used as training data for ANN and ANFIS. The finite element results were validated by comparison with experimental data. Statistic criteria were used to evaluate the performance of the developed ANN and ANFIS models. It was found that the predictions are in good agreement with the FEM data.
Expression KLF 3 and SP 1 Regulates Globin Gene-Like Globin Suppressors β 23 a / 27 a and the A Feedback Loop Consisting of MicroRNA

Published Ahead of Print 5 August 2013. 10.1128/MCB.00623-13. 2013, 33(20):3994. DOI: Mol. Cell. Biol. Zhao, Zhikui Wu, Junwu Zhang, Jingguo Zhou and Jia Yu Yong Zhu, Lei Dong, Haixin Yin, Zhongzu Zhang, Hualu Gong, Huiwen Liu, Yunmeng Yan, He Dong, Fang Wang, Bei Yanni Ma, Bin Wang, Fengbing Jiang, Dongsheng Wang, Expression KLF3 and SP1 Regulates Globin Gene -Like Globin Suppressors β 23a/27a and the A Feedback Loop Consisting of MicroRNA
Impact‐induced convection as the main mechanism for formation of lunar mare basalts

[1] Using a suite of numerical models, we show that impact-induced convection in the Moon can explain the formation of lunar mare basalts, the depth range of their source region, the observed delay between impact basin formation and starting time of mare flows, and the long duration of the basaltic flows. The effects of an impact on the thermal evolution of the Moon and melt production in the mantle are investigated using convection calculations in an axisymmetric cylindrical coordinate system. An ascending mantle plume is allowed to melt as it crosses the depth of the solidus temperature. We consider two different models: permeable and impermeable. Five different viscosity models and three different impact basin sizes are examined. The total amount of melt produced by the permeable model with 1000 times viscosity contrast across the computation domain is comparable to the observed mare flows in Imbrium and Orientale basins. Moreover, the starting time of major melting in the mantle and its duration are also compatible with the observations. The model also allows a rigid lithosphere to develop beneath the basins that is capable of supporting the mascons largely created during the peak mare flow period. The model for South Pole Aitken basin results in a substantial amount of melting in the mantle, which does not seem to be compatible with the observations. A potassium, rare earth elements, and phosphorus (KREEP) layer with high concentration of radioactive elements incorporated directly beneath the crust has minor effects on the melt production in the mantle.
Nuclear Receptors TR 2 and TR 4 Recruit Multiple Epigenetic Transcriptional Corepressors

Nuclear Receptors TR2 and TR4 Recruit Multiple Epigenetic Transcriptional Corepressors That Associate Specifically with the Embryonic -Type Globin Promoters in Differentiated Adult Erythroid Cells Shuaiying Cui,† Katarzyna E. Kolodziej,† Naoshi Obara,† Alexandra Amaral-Psarris, Jeroen Demmers, Lihong Shi, James Douglas Engel, Frank Grosveld, John Strouboulis,* and Osamu Tanabe* Department of Cell Biology and Proteomics Center, Erasmus University Medical Center P.O. Box 1738, 3000DR Rotterdam, Netherlands; Department of Cell and Developmental Biology, 109 Zina Pitcher Place, 3071 BSRB University of Michigan Medical School, Ann Arbor, Michigan 48109; and Institute of Molecular Oncology, Biomedical Sciences Research Center Alexander Fleming, 34 Fleming Street, 16672 Vari, Greece
Construction and Characterization of Conductometric Biosensor for Determination of the Diazinon Concentration

Excessive diazinon residue in vegetables can endang er human health. Therefore, a simple, fast, and acc urate method is needed to detect residue. A conductometric biosenso r is a good choice because it also offers high sele ctivity and sensitivity. The principle of detection of the cond uctometric biosensor is based on enzymatic hydrolys is of diazinon into O,O diethyl phosphorothiate,2-isopropyl-6-methylpyrimidin-4-ol, and H + catalyzed by organophosphate hydrolase (OPH). The optimum amount of organophosphate hydrolase added to the screen-printed carbon electrode (S PCE) modified with BSA-glutaraldehyde is 118.5 µg, while the optimum pH is 8.5. This biosensor has a respon se time of 30 sec, a linear dynamic range of 0 to 1 ppm, sensitiv ity of 42.21 µS/ppm, and limit of detection of 0.19 ppm.
Spectral gaps for a Metropolis–Hastings algorithm in infinite dimensions

We study the problem of sampling high and infinite dimensional target measures arising in applications such as conditioned diffusions and inverse problems. We focus on those that arise from approximating measures on Hilbert spaces defined via a density with respect to a Gaussian reference measure. We consider the Metropolis–Hastings algorithm that adds an accept–reject mechanism to a Markov chain proposal in order to make the chain reversible with respect to the target measure. We focus on cases where the proposal is either a Gaussian random walk (RWM) with covariance equal to that of the reference measure or an Ornstein–Uhlenbeck proposal (pCN) for which the reference measure is invariant. Previous results in terms of scaling and diffusion limits suggested that the pCN has a convergence rate that is independent of the dimension while the RWM method has undesirable dimension-dependent behaviour. We confirm this claim by exhibiting a dimension-independent Wasserstein spectral gap for pCN algorithm for a large class of target measures. In our setting this Wasserstein spectral gap implies an L^2-spectral gap. We use both spectral gaps to show that the ergodic average satisfies a strong law of large numbers, the central limit theorem and nonasymptotic bounds on the mean square error, all dimension independent. In contrast we show that the spectral gap of the RWM algorithm applied to the reference measures degenerates as the dimension tends to infinity.
ASSESSMENT OF FACTORS INFLUENCING ADEQUACY OF NATIVE ARTERIOVENOUS FISTULA FOR LONG TERM VENOUS ACCESS IN HEMODIALYSIS PATIENTS.

OBJECTIVE :-The aim of our study was to assess the factors affecting adequacy of arteriovenous fistula (AVF) and to correlate it with clinical and demographic factors. MATERIAL AND METHODS: The prospectively designed study was conducted to determine adequacy of AVF in 130 patients over a period of two years. Adequacy of AVF was graded if the blood flow rate was higher or equal to 300 ml/ min on at least fifty percent of dialysis sessions in one month. AV-fistula adequacy was correlated with clinical and demographic factors like age, gender, diabetic status, smoking status, body mass index (BMI), serum calcium, serum phosphorus and Ca×P product, serum albumin and an evaluation for peripheral vascular disease (PVD). RESULTS: The study included 130 patients (68 males and 42 females). Early adequacy rate of 110 fistulas was 66% and 51% at end of 3 rd and 6 th months respectively. Diabetes was present in 41%, 32% were hypertensive and 27% of the patients were overweight (BMI ≥27 kg/m 2 ). The adequacy rate was lower in older (age ≥ 65) patients (34.0 vs. 57.6%, P = 0.028), in overweight (BMI ≥ 27 kg/m 2) patients (33.3 vs. 57.5%, P = 0.026). It was also marginally lower in diabetics versus nondiabetics (40.0 vs. 58%, P = 0.058) and the presence of peripheral vascular disease and increase calcium phosphorus product adversely affected AVF adequacy. The adequacy rate was not affected by patient smoking status and serum albumin. The adequacy rate was substantially lower for forearm versus upper arm fistulas (40.0 vs. 64%, P = 0.0131). The adequacy of forearm fistulas was particularly poor in women (13%), patients age 65 or older (12.5%), and diabetics (24%). In contrast, upper arm fistulas were adequate in
Existing competitive indices in the intercropping system of Manihot esculenta Crantz and Lagenaria siceraria (Molina) Standley

ABSTRACT An assessment of the competitive indices in intercropping between cassava (Manihot esculenta) and bottle gourd (Lagenaria siceraria) was conducted with the aim of increasing the productivity of these crops. For this purpose, three farmers preferred landraces of cassava (yacé, blêbou and six mois) and three morphotypes of gourd (dark green and round fruit, light green and round fruit, light green and long fruit) were used to test the three intercropping ratios (gourd:cassava with 6:42, 6:24 and 6:18). Intercropping systems were assessed by land equivalent ratio (LER), area time equivalent ratio (ATER), relative crowding coefficient (K), actual yield loss (AYL), aggressivity (A) and competition ratio (CR). LER, ATER and K values were greater than 1 for gourd-cassava (6:24). These findings indicate an advantage of intercropping for exploiting the resources of the environment. Cassava clones were more competitive than gourd component.
Iodide as a Single-Stain Viability Dye ® Flow Cytometric Enumeration of Bacteria Using TO-PRO

Quantification of bacteria using conventional viable plate counting (VPC) is labor-intensive and time-consuming. Flow cytometry (FCM) can be proposed as a faster alternative. This study aimed to develop a flow cytometric, single-stain approach using TO-PRO-3 iodide (TP3) for the quantification of Staphylococcus aureus, Escherichia coli, and Bacillus subtilis cells. Live or dead bacterial suspensions were stained with TP3 and analyzed using a FACSCalibur flow cytometer. After optimization of staining parameters and instrument settings, an excellent separation of viable and dead cells was achieved for all species. The quantitative performance of the technique was assessed by analyzing serial dilutions of bacterial suspensions using FCM and VPC. A highly linear correlation (r > 0.99) was observed between the colony forming units (CFU)/mL as determined by FCM and by VPC over a concentration range of about 10 to 10 CFU/mL. As such, FCM quantification of viable bacteria using TP3 can be considered as an accurate and reliable alternative for VPC. The monostain procedure is easy to apply and cost-effective, and it allows bacterial enumeration in a broad variety of samples.
Traffic Jam Detection Based on Corner Feature of Background Scene In Video-Based ITS

In recent years, traffic event detection has become an important topic in intelligent transportation systems. A novel method to extract jam events by analyzing the road background feature is developed in this research, in which the multiple background images have been used in order to extract ultimate background from low-speed vehicles in congestion condition. The proposed algorithm includes two stages: background extraction and jam detection. The background image was extracted by performing the difference on three consecutive frames. According to the extracted background image, we analyze the corner feature to detect traffic jam. The proposed method has been tested on a number of traffic-image sequences and the experimental results show that the algorithm is robust and realtime.
Temporal response of a simplified bidimensional numerical model of the cochlea

Within the framework of a study related to bone conduction, numerical simulations have been performed in the time domain, with the aim of comparing the cochlear partition displacement in the case of different places of stimulation. An oversimplified 2D model of the cochlea is used. It is first excited with pulses centered on various audible‐range frequencies with a localisation of the source which is analogous to the position of the oval window. Secondly, new sets of calculations introduce different localisations and/or spatial extensions of the sources. An analogy with seismology being adequate to simulate the solid‐fluid (cochlear partition‐perilymph) coupling, a finite difference numerical simulation based upon the Virieux scheme for elastic waves propagation has been used. The movement of the simplified basilar membrane is observable when excited via air or bone conduction. Results of the propagation of a single pulse within the model will be presented and discussed through information available in li.
CoKE: Contextualized Knowledge Graph Embedding

Knowledge graph embedding, which projects symbolic entities and relations into continuous vector spaces, is gaining increasing attention. Previous methods allow a single static embedding for each entity or relation, ignoring their intrinsic contextual nature, i.e., entities and relations may appear in different graph contexts, and accordingly, exhibit different properties. This work presents Contextualized Knowledge Graph Embedding (CoKE), a novel paradigm that takes into account such contextual nature, and learns dynamic, flexible, and fully contextualized entity and relation embeddings. Two types of graph contexts are studied: edges and paths, both formulated as sequences of entities and relations. CoKE takes a sequence as input and uses a Transformer encoder to obtain contextualized representations. These representations are hence naturally adaptive to the input, capturing contextual meanings of entities and relations therein. Evaluation on a wide variety of public benchmarks verifies the superiority of CoKE in link prediction and path query answering. It performs consistently better than, or at least equally well as current state-of-the-art in almost every case, in particular offering an absolute improvement of 19.7% in H@10 on path query answering. Our code is available at \url{this https URL}.
Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems

This manuscript contributes a general and practical framework for casting a Markov process model of a system at equilibrium as a structural causal model, and carrying out counterfactual inference. Markov processes mathematically describe the mechanisms in the system, and predict the system's equilibrium behavior upon intervention, but do not support counterfactual inference. In contrast, structural causal models support counterfactual inference, but do not identify the mechanisms. This manuscript leverages the benefits of both approaches. We define the structural causal models in terms of the parameters and the equilibrium dynamics of the Markov process models, and counterfactual inference flows from these settings. The proposed approach alleviates the identifiability drawback of the structural causal models, in that the counterfactual inference is consistent with the counterfactual trajectories simulated from the Markov process model. We showcase the benefits of this framework in case studies of complex biomolecular systems with nonlinear dynamics. We illustrate that, in presence of Markov process model misspecification, counterfactual inference leverages prior data, and therefore estimates the outcome of an intervention more accurately than a direct simulation.
Uncovering adult modal age at death in populations with grouped data

The adult modal age at death is a measure of the most frequent length of life among adults. It has been demonstrated to be an important lifespan measure in longevity research, capable of shedding light on some specific aspects of old-age mortality that are not necessarily captured well by other widely used measures of old-age survival. The current P-spline method for estimating the modal age at death is flexible and highly effective but the model requires population size and mortality data that are detailed by single years of age. For several countries and regions of the world, these data are solely available for broader age groupings. In this paper, we introduce a generalized version of the earlier method based on the Penalized Composite Link Model to estimate the modal age at death in instances where population estimates and/or mortality data are not provided by single years of age. We start by illustrating the new method and assessing its performance using data from the Human Mortality Database. We then uncover sex-specific trends in the modal age at death between 1996 and 2010 in Brazil, a country where population estimates and mortality data are readily available by 5-year age groups only from the WHO Mortality Database and Latin American Human Mortality Database. We offer concluding remarks about the vast range of possible applications and extensions of the newly proposed method.
The Relationship between Perceived Organizational Support and Organizational Commitment

The aim of this study was to investigate the relationship between perceived organizational support and organizational commitment in staff of Arman credit institute in Golestan province, Iran. The research was descriptive-correlation type. 165 employees of Arman credit institute in Golestan province were participated randomly in this study. To collect data, standard questionnaires of Allen and Meyer's organizational commitment and Eisenberg's Organizational support questionnaire was used. The results showed that there was a significant positive correlation between perceived organizational support with emotional commitment, normative commitment and continuance commitment.
How can we fool LIME and SHAP? Adversarial Attacks on Post hoc Explanation Methods

As machine learning black boxes are increasingly being deployed in domains such as healthcare and criminal justice, there is growing emphasis on building tools and techniques for explaining these black boxes in an interpretable manner. Such explanations are being leveraged by domain experts to diagnose systematic errors and underlying biases of black boxes. In this paper, we demonstrate that post hoc explanations techniques that rely on input perturbations, such as LIME and SHAP, are not reliable. Specifically, we propose a novel scaffolding technique that effectively hides the biases of any given classifier by allowing an adversarial entity to craft an arbitrary desired explanation. Our approach can be used to scaffold any biased classifier in such a way that its predictions on the input data distribution still remain biased, but the post hoc explanations of the scaffolded classifier look innocuous. Using extensive evaluation with multiple real-world datasets (including COMPAS), we demonstrate how extremely biased (racist) classifiers crafted by our framework can easily fool popular explanation techniques such as LIME and SHAP into generating innocuous explanations which do not reflect the underlying biases.