Miracle-dz/UniFAR-FTUs huggingface dataset:
A fuzzy logic‐based meningioma tumor detection in magnetic resonance brain images using CANFIS and U‐Net CNN classification

This article develops a methodology for meningioma brain tumor detection process using fuzzy logic based enhancement and co‐active adaptive neuro fuzzy inference system and U‐Net convolutional neural network classification methods. The proposed meningioma tumor detection process consists of the following stages as, enhancement, feature extraction, and classifications. The enhancement of the source brain image is done using fuzzy logic and then dual tree‐complex wavelet transform is applied to this enhanced image at different levels of scale. The features are computed from the decomposed sub band images and these features are further classified using CANFIS classification method which identifies the meningioma brain image from nonmeningioma brain image. The performance of the proposed meningioma brain tumor detection and segmentation system is analyzed in terms of sensitivity, specificity, segmentation accuracy, and Dice coefficient index with detection rate.
Some Energy Issues for a Nanoscale Electrostatic Potential Well in Saline Solutions

An electrostatic potential well may be applied to trap and manipulate charged micro- and nanoparticles. An electrostatic potential well obtained from a certain charge distribution may be used to mimic the electrostatic interactions among biomolecules in live biosystems. In this study, we present a simulation study on the trapping performance of dipole clusters, which are arranged in 10 nm-sized, pentagon-shaped structures in a saline solution. The influence of electrostatic energy, entropy, and van der Waals interaction on the trapping performance of these nanostructures is then systematically calculated. The results show that the electrostatic potential well system demonstrated a moderate trapping capability, which could be enhanced using van der Waals interactions. The entropy significantly contributes to the trapping capability. This study offers some ideas for developing practical biomimetic electrostatic tweezers and nanorobots working in an ionic solution.
Design of an 8‐bit time‐mode cyclic ADC based on macro modeling

This work presents a macro modeling approach for the time‐mode cyclic ADC. The proposed ADC macro model is realized using the time‐to‐voltage converter (TVC) and the voltage‐to‐time converter (VTC) that are the key building blocks of time‐mode ADCs. In addition, the effect of circuit nonidealities and error sources of the time‐mode ADC including parasitic capacitance, current source output resistance, switch on‐resistance, capacitor mismatch, and comparator offset are incorporated in the macro model. The simulation time of the proposed ADC macro model showed 87.1% reduction compared to the all transistor level ADC circuit. As a result, the proposed ADC macro model can facilitate the ADC design and leverage the ADC nonideality analysis. Furthermore, the proposed macro model can be used for ADC calibration scheme development. As a practical design example, the macro model for an 8‐bit time‐mode cyclic ADC has been realized, where the nonideality analysis, design optimization, and calibration scheme development based on the proposed macro model have been demonstrated.
Capacitive Wireless Power Transfer with Multiple Transmitters: Efficiency Optimization

Wireless power transfer with multiple transmitters can have several advantages, including more robustness against misalignment and extending the mobility and range of the receiver(s). In this work, the efficiency maximization problem is analytically solved for a capacitive wireless power transfer system with multiple coupled transmitters and a single receiver. It is found that the system efficiency can be increased by adding more transmitters. Moreover, it is proven that the cross-coupling between the transmitters can be eliminated by adding shunt susceptances at the input ports. Optimal values for the input currents and receiver load are determined to achieve maximum efficiency. As well the optimal load, the optimal input currents and the maximum efficiency are independent on the cross-coupling. By impedance-matching the internal conductances of the generators, the maximum-efficiency solution also becomes the one that provides the maximum output power. Finally, by expressing each transmitter–receiver link with its kQ-product, the maximum system efficiency can be calculated. The analytical results are verified by circuital simulation.
FAKTOR-FAKTOR YANG MEMPENGARUHI EMPLOYEE PERFORMANCE PADA PEGAWAI DITJEN PAJAK DI JAKARTA

This research is a quantitative study that aims to determine the effect of Talent Management and Knowledge Management on Employee Performance through Employee Retention. The population in this study are Talent Ready Now employees at the Directorate General of Tax whose work location is in DKI Jakarta. “The sample size was taken as many as 100 respondents, with non-probability sampling methods especially perposive sampling. Data collection was carried out through questionnaires. The analysis technique used is the PLS (Partial Least Square) analysis method. ” The results of this study indicate that (1) Talent Management has a significant and positive effect on Employee Performance (2) Talent Management indirectly has no significant and negative effect on Employee Performance through Employee Retention (3) Knowledge Management has a significant and positive effect on Employee Performance (4) Knowledge Management indirectly has a significant and positive effect on Employee Performance through Employee Retention Keywords: Talent Management, Knowledge Management, Employee Performance, Employee Retention
The Association between Regular Use of Ridesourcing and Walking Mode Choice in Cairo and Tehran

The rapid adoption of ridesourcing poses challenges for researchers and policymakers in the Middle East and North Africa (MENA), as it is an evolving new transport mode, and there is little research explaining its effects on mobility behaviors in this region. There is a concern that ridesourcing, which offers convenient and relatively cheap door to door services, encourages citizens to replace their sustainable travel modes, like walking, with car use. This effect has been studied relatively well in metropolises of the West, but less in the MENA agglomerations. This paper investigates whether regular use of ridesourcing impacts the walking mode choice in Cairo and Tehran. The analysis uses the results of 4926 face-to-face interviews in these two cities to compare the preference for using a vehicle instead of walking between regular users of ridesourcing and other motorized modes, including public bus, urban transit rails, private car, and traditional taxi. The findings indicate that in Cairo, the regular ridesourcing users are more likely than regular users of public transport to use a vehicle instead of walking inside their neighborhood. However, in both cities, ridesourcing users are less likely than regular private car users to replace walking by using vehicles.
Variable-reluctance resolver design guidelines

The design of a variable-reluctance resolver structure which can be integrated into brushless motors is considered. The resolver is designed to provide absolute position information for motor phase commutation and incremental position information for position control. Basic resolver operation is reviewed, and critical resolver signal characteristics which determine resolver position accuracy are identified. Using a magnetic circuit approach, the inductance of a variable-reluctance structure was computed as a function of position. From this information the tooth parameters which minimize the maximum resolver position error were determined. In addition, design guidelines were formulated and the difficulty in achieving high position accuracy was assessed. <<ETX>>
Social Network Addiction and Its Impact on Anxiety Level among University Students

Despite the obvious favorable effects of social networking sites, there is a risk of developing behavioral addictions. This study aims to analyze addiction to social networks and its relationship with anxiety. A sample (n = 361) of university students (undergraduate, master’s and doctoral) comprising 87.5% women and 12.5% men with a mean age of 32.58 (SD = 12.03) and 32.36 (SD = 10.21), respectively, was included. Addiction to social networks was measured using the Social Network Addiction (SNA) questionnaire and anxiety was measured using Spanish adaptation of the Beck Anxiety Inventory (BAI Test). The regression results show how concurrent moderating variables such as age (adulthood) predispose individuals to addiction in some way (Model 5, explained 13.5%, R2= 0.135, p = 0.040). Similarly, we found that the aspect of addiction that generates anxiety is an obsession with social networks. Anxiety arises as excessive use decreases, similar to abstinence syndrome. It is concluded that the harmlessness of social networks and their inappropriate use can lead to behavioral addiction.
Forecasts of Value-at-Risk and Expected Shortfall in the Crude Oil Market: A Wavelet-Based Semiparametric Approach

We propose the use of wavelet-based semiparametric models for forecasting the value-at-risk (VaR) and expected shortfall (ES) in the crude oil market. We compared the forecast outcomes across different time scales for three semiparametric models, three nonparametric, distribution-based, generalized, autoregressive, conditional, heteroskedasticity (GARCH) models, and three rolling-window models. We found that the GARCH model estimated by the Fissler and Ziegel (FZ) zero loss minimization (GARCH-FZ) model performs the best at forecasting the VaR and ES in the short term, whereas the hybrid model performs the best for mid- and long-term time scales. Thus, long-term investors should consider the hybrid model and short-term investors should employ the GARCH-FZ model in their risk management processes. Overall, our proposed wavelet-based semiparametric models outperform the other models tested for all time scales and market conditions. As such, we suggest that these models are considered for the management of crude oil price risk and in the development of energy policy.
MinK-Related Peptide 1 Associates With Kv4.2 and Modulates Its Gating Function

Abstract—Inherited mutations and a polymorphism in minK-related peptide 1 (MiRP1) have been linked to congenital or acquired long-QT syndrome, pointing to the importance of MiRP1 in maintaining the cardiac electrical stability. We tested whether MiRP1 could affect the function of Kv4.x (x=2 and 3), the major pore-forming (α) subunits of transient outward (Ito) channels in the heart. We used the Xenopus oocyte expression system to examine the effects of MiRP1 on Kv4.x channel gating kinetics and current amplitude and correlated these effects with MiRP1 expression level. MiRP1 slowed the rates of Kv4.2 activation and inactivation and shifted the voltage dependence of channel gating in the positive direction. These effects had a similar “dose” dependence: they plateaued at a cRNA ratio (MiRP1:Kv4.2) of 13:1, with half-maximum effects at estimated cRNA ratios of 2 to 4. On the other hand, MiRP1 had no significant effects on Kv4.2 current amplitude in the same range of expression level. When expressed at a com.
Microstructure and performance characteristics of acoustic insulation materials from post-consumer recycled denim fabrics

One of the key issues of the 21st century is to reduce the rate of continuously increasing environmental pollution from waste generated by human beings. Use of recycled materials and environmentally friendly approaches to manufacturing can be a good way to deal with these challenges. Similarly, sound pollution has been increasing at an alarming rate due to industrialization and modernization. Use of acoustic insulation materials produced from recycled textile waste can play a vital role in reduction of sound pollution while simultaneously helping reduce municipal solid waste. The goal of this study was to evaluate the recycling of used apparels to produce commercially feasible sustainable products using nonwoven fabrication techniques with a biodegradable thermoplastic binder fiber for possible use as acoustic insulation panels. Recycled denim fibers were used with Sorona® or a PLA binder fiber to successfully produce sound insulation with good performance properties. Maximum transmission loss of about 24 dB and transmission coefficient close to zero at around 1000 Hz were observed. The data indicated that there is a direct correlation between loss of sound transmission with increase in thickness, areal density and decrease in air permeability. When compared with commercially available acoustic insulation material (gypsum board), these products had better insulation properties, indicating that recycled textile products can be used to produce such value-added materials, giving them another useful life before safely disposing in composting environments.
Öz Yeterliğin Bilinçli Farkındalık ve Benlik Saygısına Etkisi

Bu calismada universite ogrencilerin oz yeterliklerinin bilincli farkindalik ve benlik saygilari uzerindeki etkisini arastirmak hedeflenmistir. Arastirma Suleyman Demirel Universitesi “Orgutsel Davranis” dersini alan ogrencileri kapsamaktadir. Arastirma 124 ogrencinin katilimi ile gerceklestirilmistir. Calismada bilincli farkindalik, oz yeterlik ve benlik saygisi kavramlari ilgili literatur cercevesinde arastirilmis, ardindan iliskilere yonelik hipotezler gelistirilmistir. Bu degiskenler arasindaki iliskiyi belirlemek icin yapilan korelasyon analiz sonuclarina gore; bilincli farkindalik ile oz yeterlik arasinda zayif ve negatif bir korelasyon, benlik saygisi ile orta siddette negatif bir korelasyon oldugu tespit edilmistir. Oz yeterlik ile benlik saygisi arasinda zayif ve pozitif bir korelasyon oldugu saptanmistir. Oz yeterligin bilincli farkindalik ve benlik saygisi uzerindeki etkisini saptamak icin yapilan regresyon analizi sonucunda oz yeterligin, benlik saygisi ve bilincli farkindalik uzerinde anlamli bir etkiye sahip oldugu gozlemlenmistir.
Disminución de la agresividad en estudiantes de primaria: El programa Fortaleciéndome

El objetivo fue determinar la influencia significativa del programa “Fortaleciendome” en el nivel de agresividad. La muestra estuvo conformada por estudiantes de una escuela de Comas, con edades entre los 10 y 11 anos. Se empleo como instrumento el Cuestionario de Agresividad de Buss y Perry (1992, adaptacion a la realidad peruana de Matalinares et al., 2012). Se planifico un diseno cuasiexperimental, en el pretest los resultados fueron similares tanto en el grupo control como en el grupo experimental (niveles promedio y alto, respectivamente). En el postest los resultados fueron distintos: el grupo control mantuvo su nivel inicial, pero el grupo experimental redujo su nivel de agresividad. Los resultados estadisticos obtenidos (Z=5,957 > 1,6706 y p= 0.000 < 0.05) permiten afirmar que la aplicacion del programa “Fortaleciendome” si tuvo una influencia significativa en la disminucion de la agresividad, y en sus dimensiones agresividad fisica, agresividad verbal, ira y hostilidad.
INFLUENCE OF PROJECT MANAGEMENT PRACTICES ON PROJECT SUCCESS IN RWANDA - THE CASE OF GIRINKA PROJECT IN RUNDA SECTOR, KAMONYI DISTRICT, RWANDA

The main objective of this study was to determine the contribution of project management practices on project success. The specific objectives are: to analyse the status of the Girinka project in Runda sector, Kamonyi district, to investigate the influence of project planning, implementation, monitoring and evaluation on the success of the Girinka project in Runda sector, Kamonyi district, to assess the level of satisfaction of the contribution of Gririnka project on improvement of socio-economic wellbeing of beneficiaries in Runda sector, Kamonyi district and to find out the challenges facing the Girinka project in Runda sector, Kamonyi district. (Girinka in local language = Have a cow in English). The study is expected to be helpful to the researcher in acquiring new knowledge, Girinka project government coordinating agency in adjusting policies and implementation framework, the project donors and sponsors and the community at large. A case study and explanatory design were both used. The target population was 513 participants from Girinka project beneficiaries, Girinka project partners and local leaders. The sample size was 225 respondents selected using Slovin’s formula. When collecting the data, the researchers used questionnaire, documentary and interview schedules. The collected data were analysed using descriptive statistics with the help of Statistical Packages for Social Sciences (SPSS) for quantitative data and using narrative analysis for qualitative data. The data were presented, analysed and interpreted in line with research objectives. It was found that project planning, project implementation, project monitoring and evaluation practices all contributed to Girinka project success at very large and large extent as per 4.829; 4.672; and 3.957 mean ( respectively. It was recommended to the project planners to take into consideration the means of project beneficiaries for them to safeguard the cows given to them. The project partners are recommended to follow up with the selection process of the beneficiaries and Girinka project beneficiaries are advised to raise the cow for the life change and not sell them for short term problem-solving. Article visualizations:
Going solo: how starting solo self-employment affects incomes and well-being

There are many economic environments in which an object is offered sequentially to prospective buyers. It is often observed that once the object for sale is turned down by one or more agents, those that follow do the same. One explanation that has been proposed for this phenomenon, which goes back to Banerjee (1992) and Bikhchandani et al. (1992) is that agents making choices further down the line rationally ignore their own assessment of the object's quality and herd behind their predecessors. We develop novel tests to detect information-based herding, based on heterogeneity in agent ability, together with a methodology to quantify its welfare consequences, that are applied to organ transplantation in the U.K. We find that herding is common and is an important contributor to the high rate at which organs are rejected by transplant centers (and subsequently discarded). However, herding does not raise discard rates much above the level that would be obtained if private assessments were made publicly available. Instead, the (limited) information contained in predecessors' decisions substantially reduces the acceptance of bad organs. This is because in our application (i) high ability centers are often willing to deviate from the herd and follow their own positive signals, and (ii) sequences are exogenously terminated relatively quickly.
Sparse nonparametric regression with regularized tensor product kernel

With growing interest to use black‐box machine learning for complex data with many feature variables, it is critical to obtain a prediction model that only depends on a small set of features to maximize generalizability. Therefore, feature selection remains to be an important and challenging problem in modern applications. Most of the existing methods for feature selection are based on either parametric or semiparametric models, so the resulting performance can severely suffer from model misspecification when high‐order nonlinear interactions among the features are present. A very limited number of approaches for nonparametric feature selection were proposed, but they are computationally intensive and may not even converge. In this paper, we propose a novel and computationally efficient approach for nonparametric feature selection in the regression field based on a tensor product kernel function over the feature space. The importance of each feature is governed by a parameter in the kernel function that can be efficiently computed iteratively from a modified alternating direction method of multipliers algorithm. We prove the oracle selection property of the proposed method. Finally, we demonstrate the superior performance of our approach compared with the existing methods via simulation studies and application to the prediction of Alzheimer's disease.
Edible and Functionalized Films/Coatings—Performances and Perspectives

In recent years, food packaging has evolved from an inert and polluting waste that remains after using the product toward an active item that can be consumed along with the food it contains. Edible films and coatings represent a healthy alternative to classic food packaging. Therefore, a significant number of studies have focused on the development of biodegradable enveloping materials based on biopolymers. Animal and vegetal proteins, starch, and chitosan from different sources have been used to prepare adequate packaging for perishable food. Moreover, these edible layers have the ability to carry different active substances such as essential oils—plant extracts containing polyphenols—which bring them considerable antioxidant and antimicrobial activity. This review presents the latest updates on the use of edible films/coatings with different compositions with a focus on natural compounds from plants, and it also includes an assessment of their mechanical and physicochemical features. The plant compounds are essential in many cases for considerable improvement of the organoleptic qualities of embedded food, since they protect the food from different aggressive pathogens. Moreover, some of these useful compounds can be extracted from waste such as pomace, peels etc., which contributes to the sustainable development of this industry.
RETRACTED: Redundancy-modified NAND multiplexing for nanocomputers

It is necessary to study fault tolerant techniques for nanotechnology since nanometer devices are very sensitive to system and environment influences. In this paper, we present a novel fault tolerant technique for nanocomputers, namely, XOR multiplexing based on redundancy-modified NAND gates. The error distributions and fault tolerant ability of the proposed architecture are analyzed and compared them with von Neumann’s multiplexing. Experimental results show that compared with conventional multiplexing technique based on NAND gate, the new system has a much higher fault tolerant ability. According to the evaluation, by using multiple redundant components, the device error tolerant ability of the proposed architecture can up to the 10−1. In unreliable nanometer-scale devices-based systems, this architecture is potentially effective against the increasing transient errors.