Miracle-dz/UniFAR-FTUs huggingface dataset:
Is There a Conservative Feminism? An Empirical Account

The question of conservative feminism in the United States did not really arise before the 2008 elections; most politically active conservative women leaders did not refer to themselves as feminists. Sarah Palin's vice presidential bid, however, prompted a shift. On a number of well-publicized occasions, Palin called herself a feminist, generating considerable discussion over whether conservative feminism is now a political movement. Using data from in-depth interviews with conservative women leaders, this article asks whether conservative women in the United States identify as feminists. Findings indicate that on the whole they do not, but conservative women are important gender-conscious political actors whose efforts compel questions about ideology and women's activism. Implications for understanding feminist and conservative movement politics more broadly are also explored.
A Compact Frequency-Reconfigurable Antenna With Independent Tuning for Hand-Held Wireless Devices

This communication presents the design of a compact loop antenna with independent frequency tuning. The proposed antenna consists of a feed line fed by a <inline-formula> <tex-math notation="LaTeX">$50~\Omega $ </tex-math></inline-formula> coaxial probe and four resonating arms on the adjacent sides of the feed line. The two outer resonating arms are directly coupled to the feed line and the other two inner resonating arms are coupled to the outer arms. The proposed antenna has a footprint of 25 mm <inline-formula> <tex-math notation="LaTeX">$\times 10$ </tex-math></inline-formula> mm <inline-formula> <tex-math notation="LaTeX">$\times0.2$ </tex-math></inline-formula> mm. The designed antenna operates at 0.9, 2.4, 3.5, and 5.5 GHz. Each of these bands is individually tuned using varactor diodes. Thus, the aggregation of these tunable bands provides wide bandwidth. The impedance bandwidth and percentage bandwidth of the antenna are 270/1000/400/700 MHz and 33%/47.6%/11%/12.7%, respectively. Furthermore, the gain and efficiency of the antenna are 1.7/1.3/2.1/2 dBi and 60%/63%/65%/69%, respectively. The prototype antenna is fabricated and tested. The measured impedance and radiation characteristics of the antenna are in good correlation with the simulation results.
WITHDRAWN—Administrative Duplicate Publication Kernel-based estimation of individual location densities from smartphone data

SAGE Publishing regrets that due to an administrative error, this article was accidentally published Online First and in Volume 20 Issue 6 with different DOIs. There was no duplication of the article in the printed and online version of Volume 20 Issue 6. The correct and citable version of the article remains: Francesco F and Paci L (2020) Kernel-based estimation of individual location densities from smartphone data. Statistical Modelling, 20, 6, 617–633. DOI 10.1177/1471082X19870331
Consistent Inverse Probability and Possibility Propagation

Given a probability distribution of an output quantity of a model, it is generally not possible to infer a unique probability distribution of the uncertain input quantity. In this contribution, it is shown that by reverting back to the coarser framework of possibility theory this problem possesses a conceptually straightforward solution with some powerful properties in the view of imprecise probability descriptions.
Parallelism Strategies for Big Data Delayed Transfer Entropy Evaluation

Generated and collected data have been rising with the popularization of technologies such as Internet of Things, social media, and smartphone, leading big data term creation. One class of big data hidden information is causality. Among the tools to infer causal relationships, there is Delay Transfer Entropy (DTE); however, it has a high demanding processing power. Many approaches were proposed to overcome DTE performance issues such as GPU and FPGA implementations. Our study compared different parallel strategies to calculate DTE from big data series using a heterogeneous Beowulf cluster. Task Parallelism was significantly faster in comparison to Data Parallelism. With big data trend in sight, these results may enable bigger datasets analysis or better statistical evidence.
EFFECT OF SMALL-SCALE IRRIGATION SCHEME ON FOOD SECURITY OF FARMING HOUSEHOLDS IN KWARA STATE, NIGERIA.

In recent times, the global focus has been on eradicating food insecurity. Various international organizations and governments of developing nations through schemes that enhance food production have made their contributions. This study focused on the assessment of the effect of small scale irrigation scheme on food security of farming households in Kwara State, Nigeria. Primary data was used for the study. Using a two stage random sampling, three (3) Local Government Areas were randomly selected from the twelve (12) local governments that have irrigation project under the Lower Niger River Basin were randomly selected in the first stage. Thirty (30) irrigation and non irrigation farming households were each randomly selected in each Local Government Area for the study. A total of 180 households were used for the study. A structured questionnaire was used to collect useful information from the respondents. The data collected was analyzed using descriptive statistics, logistic regression, food security index and 4-pointLikert type scale. The results showed that adoption of irrigation Scheme is significantly affected by age, household size, years of schooling, farm size, farm income, farming experience, access to extension service and membership in farmers Association. The result also showed that about 78.5% and 53.8% of the irrigation and non irrigation farming households are food secure respectively. The effect of irrigation on the farming households that adopted the scheme revealed an average increase of 1157 kcal/AE/day calorie intake. The constraints faced in accessing the irrigation scheme were inadequate awareness of the scheme, cost of irrigation water, distance to irrigation site, unfairness of water distribution, inadequate government supports, and enforcement of cropping pattern.
Is there a method for understanding human reactions to climatic changes? - Developing experimental designs for climate chambers and field measurements to reveal further insights to adaptive processes

The adaptive comfort model states behavioural, physiological and psychological adaptive processes as reasons for the discrepancies between predicted mean vote and observed comfort votes. However, little is known about the individual portions of these processes. This paper presents a new experimental design which is meant for climate chambers with at least one façade connected to the exterior. This design consists of distinctive settings with respect to variations in outside conditions and the number of control opportunities so that one or more of the three adaptive processes are suppressed. Results of a trial analysis of the data gained through a first implementation of this experimental design in a climate are presented and discussed. One of the main results shows that the permission to interact with the built environment by means of using a fan or opening a window alone leads to a significantly increased satisfaction with the thermal conditions. This statement is supported by the regression lines of the comfort temperatures calculated according to the Griffith method.
Use of mode shape ratios for pier scour monitoring in two-span integral bridges under changing environmental conditions

In this paper, a novel pier scour indicator is introduced, which uses the ratio between mode shape amplitudes identified at two points on an integral bridge structure to monitor the progression of scour erosion. The mode shape ratio (MSR) is investigated as an additional parameter to complement the use of changes in natural frequency as a scour indicator. The approach is demonstrated using numerical modelling and the MSR is extracted from acceleration signals arising in the structure due to modelled ambient and vehicle-induced vibrations. The MSR shows higher sensitivity to scour erosion than the more commonly researched natural frequency. Furthermore, the variation in MSR under temperature fluctuations is inversely related to that of frequency, in that it increases with increasing temperature whereas frequency decreases with increasing temperature. This inverse relationship potentially enables the separation of the scour effect from the temperature influence on the dynamics of the system.
Telephone Counselling: A Handbook for Practitioners

Essential Telephone Skills Overview of Telephone Counselling Establishing a Telephone Counselling Practice Contracting: the finer details Starting the first session and the Task of Assessment The Dynamics of Counselling by Phone: The First session continued On-going sessions with the clients Counselling across Media and in Groups Telephone groups: An Extended Case Study Counselling Supervision and Coaching: Using Phone or Skype Concluding Thoughts
Design of Hybrid Phase Sliding Mode Control Scheme for Lower Extremity Exoskeleton

Aiming at a pneumatic artificial muscle (PAM) lower extremity exoskeleton, a control mechanism based on hybrid phase sliding mode control (SMC) is proposed. First of all, the human gait cycle is mainly divided into the swing phase and stance phase, and the lower extremity exoskeleton phase models are established by the Euler–Lagrange method, respectively. Secondly, the lower limb exoskeleton is inevitably affected in the diverse working environment, and the exoskeleton model has nonlinear and strong coupling characteristics, which both increase the control difficulty. In this situations, a robust sliding mode control method is designed based on an Extended State Observer (ESO). Thirdly, the pneumatic muscle takes time to contract and relax, and then the joint input torque cannot jump when the gait phase changes, hence, the smoothing switching of the assistive control scheme is introduced to solve it. The smoothing switching time is detected by a phase detector, and the phase detector is designed by the plantar pressure information. Finally the comparative simulation shows that this control strategy has the advantages of fast time, high control precision and no jump during control torque switching. Pneumatic artificial muscle contraction rate curve shows that the pneumatic muscles’ motion range meets the control requirement of the exoskeleton.
Three new records of the genus Helionothrips (Insecta: Thysanoptera: Thripidae) from India

Corresponding authors: Thang Johnson, E-mail: thangjohnson@gmail.com Copyright © 2019, Johnson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Three new records of the genus Helionothrips (Insecta: Thysanoptera: Thripidae) from India
Design-based single-mediator approach for complex survey data

Abstract We discuss a two-step approach to test for a mediated effect using data gathered via complex sampling. The approach incorporates design-based multiple linear regressions and a generalized Sobel’s method to test for significance of a mediated effect. We illustrate the applications to a study of nicotine dependence, race/ethnicity and cigarette purchase price among daily smokers in the U.S. The study goal was to assess significance of cigarette purchase price as a mediator in the association between race/ethnicity (non-Hispanic Black/African American, non-Hispanic White) and nicotine dependence measured in terms of the average number of cigarettes smoked per day. The single-mediator model incorporated 18 covariates as control factors. The results indicated a significant mediated effect of cigarette purchase price on the association. However, the relative effect size of 5% indicated low practical significance of the cigarette purchase price as a mediator in the association between race/ethnicity and nicotine dependence. The approach can be modified to studies where data are gathered via other types of complex sampling.
A Test of Structural Model for Fear of Crime in Social Networking Sites

This study constructed a structural model which consists of social demographic factors, experience of victimization, opportunity factors, and social context factors to explain the public’s fear of crime on social networking sites (SNS). The model is based on the risk interpretation model, which predicts that these factors influence users’ fear of crime victimization. Using data from 486 university students in South Korea, an empirically-tested model suggests that sex and age have direct and significant effects on fear of victimization, supporting the vulnerability hypothesis. Among opportunity factors, the level of personal information and the number of offending peers have significant effects on fear of victimization through the medium of the perceived victimization risk, although the effect of SNS usage time is not significant. In addition, it was revealed that experience of victimization has a direct effect on fear of victimization. Furthermore, findings indicate that bridging social network has a direct and indirect positive effect on fear of victimization, and collective efficacy has an indirect effect on fear of victimization. Results show that incidents in SNS have the strongest effect on fear of victimization among various factors in this model without being mediated by the perceived victimization risk. Overall, this study supports a structural model for the fear of victimization.
Stability Margin of a Metamorphic Quadruped Robot With a Twisting Trunk

To date, most quadruped robots are either equipped with trunks that are rigid bodies or consist of blocks connected by passive joints. The kinematic performance of these quadruped robots is only determined by their legs. To release the mobility of trunks and enhance the performance of quadruped robots, this paper proposes a metamorphic quadruped robot with a moveable trunk (a planar six-bar closed-loop linkage), called MetaRobot I, which can implement active trunk motions. The robot can twist its trunk like natural quadrupeds. Through trunk twisting, the stability margin of the quadruped robot can be increased compared with that of a quadruped robot with a rigid trunk. The inner relationship between the stability margin and the twisting angle is analyzed in this paper. Finally, simulations are carried out to show the benefits facilitated by the twisting trunk to the quadruped robot.
Utility-Centric Service Provisioning in Multi-Access Edge Computing

Recently, multi-access edge computing (MEC) is a promising paradigm to offer resource-intensive and latency-sensitive services for IoT devices by pushing computing functionalities away from the core cloud to the edge of networks. Most existing research has focused on effectively improving the use of computing resources for computation offloading while neglecting non-trivial amounts of data, which need to be pre-stored to enable service execution (e.g., virtual/augmented reality, video analytics, etc.). In this paper, we, therefore, investigate service provisioning in MEC consisting of two sub-problems: (i) service placement determining services to be placed in each MEC node under its storage capacity constraint, and (ii) request scheduling determining where to schedule each request considering network delay and computation limitation of each MEC node. The main objective is proposed to ensure the quality of experience (QoE) of users, which is also yet to be studied extensively. A utility function modeling user perception of service latency is used to evaluate QoE. We formulate the problem of service provisioning in MEC as an Integer Nonlinear Programming (INLP), aiming at maximizing the total utility of all users. We then propose a Nested-Genetic Algorithm (Nested-GA) consisting of two genetic algorithms, each of whom solves a sub-problem regarding service placement or request scheduling decisions. Finally, simulation results demonstrate that our proposal outperforms conventional methods in terms of the total utility and achieves close-to-optimal solutions.
Enhancement of Fault Feature Extraction from Displacement Signals by Suppressing Severe End Distortions via Sinusoidal Wave Reduction

Displacement signals, acquired by eddy current sensors, are extensively used in condition monitoring and health prognosis of electromechanical equipment. Owing to its sensitivity to low frequency components, the displacement signal often contains sinusoidal waves of high amplitudes. If the digitization of the sinusoidal wave does not satisfy the condition of full period sampling, an effect of severe end distortion (SED), in the form of impulsive features, is likely to occur because of boundary extensions in discrete wavelet decompositions. The SED effect will complicate the extraction of weak fault features if it is left untreated. In this paper, we investigate the mechanism of the SED effect using theories based on Fourier analysis and wavelet analysis. To enhance feature extraction performance from displacement signals in the presence of strong sinusoidal waves, a novel method, based on the Fourier basis and a compound wavelet dictionary, is proposed. In the procedure, ratio-based spectrum correction methods, using the rectangle window as well as the Hanning window, are employed to obtain an optimized reduction of strong sinusoidal waves. The residual signal is further decomposed by the compound wavelet dictionary which consists of dyadic wavelet packets and implicit wavelet packets. It was verified through numerical simulations that the reconstructed signal in each wavelet subspace can avoid severe end distortions. The proposed method was applied to case studies of an experimental test with rub impact fault and an engineering test with blade crack fault. The analysis results demonstrate the proposed method can effectively suppress the SED effect in displacement signal analysis, and therefore enhance the performance of wavelet analysis in extracting weak fault features.
Sensorless PMSM Drive Implementation by Introduction of Maximum Efficiency Characteristics in Reference Current Generation

This paper presents the efficiency improvement in a speed closed-loop controlled permanent magnet synchronous machine (PMSM) sensorless drive. The drive efficiency can be improved by minimizing the inverter and the PMSM losses. These can be influenced by proper selection of DC-bus voltage and switching frequency of the inverter. The direct (d-) and quadrature (q-) axis current references generation methods, discussed in this paper, further improve the efficiency of the drive. Besides zero d-axis current reference control, the maximum torque per ampere (MTPA) characteristic is normally applied to generate the d- and q-axis current references in vector controlled PMSM drives. It assures control with maximum torque per unit of current but cannot assure maximum efficiency. In order to improve efficiency of the PMSM drive, this paper proposes the generation of d- and q-axis current references based on maximum efficiency (ME) characteristic. In the case study, the MTPA and ME characteristics are theoretically evaluated and determined experimentally by measurements on discussed PMSM drive. The obtained characteristics are applied for the d- and q-axis current references generation in the speed closed-loop vector controlled PMSM drive. The measured drive efficiency clearly shows that the use of ME characteristic instead of MTPA characteristic or zero d-axis current in the current references generation improves the efficiency of PMSM drive realizations with position sensor and without it—sensorless control.
Business cycle estimation with high-pass and band-pass local polynomial regression

Los filtros construidos a partir de metodos de regresion polinomica local (LPR) han sido utilizados en la literatura para estimar el ciclo economico. En este trabajo se proporciona una interpretacion en el dominio de frecuencias del filtro de contraste obtenido como la diferencia entre una serie y su componente LPR de largo plazo y se demuestra que actua como un filtro de paso alto, de modo que proporciona una estimacion con ruido del ciclo economico. Alternativamente, se proponen metodos de regresion polinomica local de pasabanda con el objetivo de aislar el componente ciclico. Los resultados se comparan con filtros estandar de paso alto y pasabanda. Los procedimientos se ilustran usando la serie del PIB de Estados Unidos.
Unpacking Backlash: Individual and Contextual Moderators of Bias against Female Professors

Abstract This research unpacks backlash against female professors by examining how individual characteristics and social context interact to predict student evaluations on RateMyProfessors.com. As predicted, students evaluated female professors in high-status departments more negatively than female professors in low-status departments, and this backlash effect was attenuated when the female professor was “hot. ” Moreover, backlash was most pronounced for female professors who had been hired more recently and who were tough graders. A follow-up experiment replicated the main findings concerning status and attractiveness and suggested that perceived gender nonconformity may help to explain backlash against female professors.
PENGARUH SERVICE QUALITY DAN E-SERVICE QUALITY TERHADAP CUSTOMER SATISFACTION YANG DIMEDIASI OLEH PERCEIVED VALUE PADA PELANGGAN PT TIKI JALUR NUGRAHA EKAKURIR (JNE) DI KOTA BANDA ACEH

This study aims to understand the influence of service quality, and e-service quality to customer satisfaction, as well as the role of perceived value as a mediator relationship. This study used a sample of 265 respondents who are customers of PT. Tiki Line Nugraha Ekakurir (JNE). Sampling technique using probability sampling with cluster sampling method. Structural equation model (SEM) is used as an analytical method to determine the effect of all the variables involved. The result of this research indicate that service quality variable have positive effect to perceived value, e-service quality have positive effect to perceived value, service quality have positive effect to customer satisfaction, e-service quality has no positive effect on Customer satisfaction, Perceived value has positive effect on customer satisfaction , and perceived value mediates service quality relationship to customer satisfaction, and also mediates e-service quality relationship to customer satisfaction. Keywords Service quality, E-service quality, Perceived value, Customer satisfaction