Miracle-dz/UniFAR-FTUs huggingface dataset:
Psychometric Properties of the Pornography Craving Questionnaire (PCQ) in Iran

Objectives: Addiction to pornography is one of the most important behavioral addictions among Iranian youth. The purpose of this study was to develop and validate a measurement scale of “cravings for pornography” Iran. Methods: This Psychometric study was conducted on a 234 general Iranian population sample in 2017 with a random sampling method. In this study, the psychometric properties of the Persian version of the Pornography Craving Questionnaire were evaluated. Data were analyzed by exploratory factor analysis using SPSS version 23. The questionnaire was administered online (Telegram application and email). Results: The age range of 234 study participants was 13 to 51 years (mean = 29.7); 97 females (41.5%) and 135 males (57.7%). To determine this questionnaire’s cut-off value, we divided into three categories of low or no craving (12 - 36), average (36 - 60), and high (60 - 84). The result of exploratory factor analysis for these questions identified two factors (Psychological reactions and Desire). Cronbach’s alpha was 0.8. Conclusions: According to the results of this study, the Persian version of the “the pornography craving questionnaire” has sufficient reliability and validity in Iranian society.
Pushing and pulling motion generation for humanoid robots using whole-body momentum control based on analytical inverse kinematics

As robotics technology advances, we expect humanoid robots to do strenuous work on our behalf. In everyday life, we frequently perform object manipulations. In particular, pushing and pulling motions are commonly done. Therefore, it is important to enable humanoid robots to perform these types of motions. Several studies on opening a door using a humanoid robot have been conducted. However, due to the delays of waiting for sensor data, the generated motions are slower than human motions. To speed up these motions, we propose two methods. One is to use prior knowledge of a predefined reaction force and to expand a preview control to handle the predefined force. The other is to accelerate the control of the total body momentum using analytical (not iterative) inverse kinematics. We verify the effectiveness of the proposed method in both simulation and the real humanoid robot HRP-4. GRAPHICAL ABSTRACT
Psychometric Data for the Reliability and Validity of the Mini Tinnitus Questionnaire Turkish Version (TQ 12-T)

Objective: To investigate the reliability and validity of the Turkish version of the Mini-Tinnitus Questionnaire (TQ 12-T). Methods: The study consisted of 120 patients with tinnitus (60 F + 60 M; Mean Age: 46.8±15.1 years). Audiological evaluation, tinnitus mapping, tinnitus handicap inventory (THI) and TQ 12-T were applied to the participants. Internal consistency and reliability were assessed by Cronbach’s alpha. To evaluate the accuracy of the original findings, a retest was performed with 20% of the participants. The validity of the TQ 12-T was assessed, analyzing the correlation with THI. We assessed construct validity by analyzing the patients according to their age and tinnitus duration. Results: High internal consistency, reliability (α=0.87) and a high intraclass correlation coefficient (ICC 0.96, p < 0.001) were found. The internal consistency reliabilities of the two subscales were α=0.74 and α= 0.84 for “health anxiety” and “cognitive distress,” respectively. There was a strong positive correlation between THI and TQ 12-T total scores (r=0.985, p<0.01). Conclusion: TQ 12-T is a valid, reliable and brief questionnaire. TQ 12-T could easily be used alongside other tinnitus or health-related questionnaires since it takes only a few minutes to complete.
Fuzzy logic controller-based boost and buck-boost converter for maximum power point tracking in solar system

Due to the concern with energy emergencies, the energy obtained from the sunlight is considered as the most capable conventional resources. Hence, the maximum power point tracking approach is necessary for obtaining the enhanced efficiency from the solar panels. In the case of direct current (DC) application, the output obtained from the photo-voltaic (PV) array cannot be directly connected to the electronic devices. For regulating the output from the PV array, the DC-DC converter is provided in between the load and the array. The converter design plays a significant role to track the maximum power point of the solar panel. This paper describes the design of three converters, namely the boost, buck-boost and buck converter, along with the fuzzy logic controller. It varies the time for switching ON and OFF of the converter concerning changes in the solar panel power. The result of converter power and solar panel for different irradiation is compared for various DC-DC converters. The fuzzy logic controller is employed in the generation of optimal control pulse for the DC-DC converter. Moreover, in the solar photovoltaic system, the steady-state operation is performed and the various solar irradiance results are analyzed. The proposed approach is compared with the various DC-DC converters like buck-boost converter, buck converter and boost converter to prove the efficiency. Then, the performance analysis of the current, voltage and power of PV is analyzed.
The Influence of Meteorological Factors on Wheat and Rice Yields in China

In this study, our primary objective was to explore the effects of meteorological change on crop yield by analyzing conditions for midseason rice (Oryza sativa L.) and winter wheat (Triticum aestivum L.) in China. We conducted a detailed exploration of the relationship between yield and meteorological factors at different growing stages; specifically, the crop yield of >2000 Chinese administrative counties from 1980 to 2012 and the day-degree data from 2481 weather stations were carefully analyzed. We first investigated the tendencies and the fluctuation ratios per unit yield to identify the differences in Chinese crops according to cultivar and region and the causes of these differences. We then determined the exact relationships between yield and meteorological factors at different growth stages via data association analysis. We also found time and spatial distribution patterns for crop yield and then established the meteorological factors influencing each index through quantitative analysis. We found that the yields of rice and wheat have witnessed steady growth in China in recent decades, and the stability of rice production has outweighed that of wheat. China’s rice yield in the northeastern region at the emergence stage is greatly influenced by temperature, whereas it is during the grain-filling stage that China’s wheat yield is significantly affected by temperature. By obtaining real-time agricultural meteorological information, crop production can be effectively and timely predicted, and more refined and scientific field management can be achieved according to the degree of importance of meteorological factors during different periods to increase crop production. Z. Jiayu, X. Shiwei, L. Ganqiong, Z. Yongen, W. Jianzhai, and L. Jiajia, Agricultural Information Institute, Chinese Academy of Agricultural, Beijing 100081, China; Key Laboratory of Agri-information Service Technology, Ministry of Agriculture, Beijing 100081, China; Beijing Engineering Research Center for Agricultural Monitoring and Early Warning, Beijing 100081, China. Received 26 Jan 2017. Accepted 16 Nov. 2017. *Corresponding author (xushiwei@caas.cn). Assigned to Associate Editor John Foulkes. Abbreviations: AIC, Akaike information criterion; PM, precipitation model; SM, sunshine duration model; TM, temperature model. Published in Crop Sci. 58:837–852 (2018). doi: 10.2135/cropsci2017.01. 0048 © Crop Science Society of America | 5585 Guilford Rd., Madison, WI 53711 USA This is an open access article distributed under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Published February 8, 2018
Variability and Genetic Structure of a Natural Population of Trichoderma spp. Isolated from Different Substrates in Morocco

Ten species of Trichoderma antagonists have been collected from different ecosystems (forest soils, compost and strawberry plants) and characterized according to their molecular tools. Molecular characterization was performed by amplifying and analyzing the sequences of the internal transcribed separator coding 1 and 4 (ITS). Trichoderma isolates were identified as Trichoderma asperellum , more than 90% similarity, except the SDLA2 strain gave Trichoderma harzianum species (The isolate SDLA2 was closely related at the nucleotide level to the China’s isolate gi|748053410|gb|KM277992.1| Trichoderma harzianum , 100% of similarity). The dissimilarity matrix based on ITS analysis showed that the Trichoderma isolates: SELM4, SMAA6, SMAA8 and SDLA27 were the less dissimilar (1.3% to 1.6%), while the isolate SDLA2 with the others isolates, except with the isolate gi|748053410|gb|KM277992.1 (1.1%) are the most dissimilar (9.9% to 16.3%).
Density limit disruption prediction using a long short-term memory network on EAST

Disruption prediction using a long short-term memory (LSTM) algorithm has been developed on EAST, due to its inherent advantages in time series data processing. In the present work, LSTM is used as the model and the AUC (area under receiver operation characteristic curve) is used as the evaluation index. When the model is trained on data from the plasma current flattop phase and tested on data from the same period multiple times, the highest AUC is 0.8646 and the training time is about 6900 s per epoch. For comparison, the last 1000 ms of the flattop phases are intercepted as short time sequences. When the model is trained on data from short time sequences and tested on data from the same period, the highest AUC is increased to 0.9379 and the training time is restricted to 36 s per epoch. When the best model trained on the short time sequences is applied to the flattop phase for testing, the AUC is up to 0.9189. The experiment results show that it is possible for LSTM to train the model on data from short time sequences and migrate the model to the entire flattop phase, with a shorter training time and higher AUC value.
Staff and student experiences of working together on pedagogic research projects: partnerships in practice

ABSTRACT The international interest in students as partners reflects the desire to involve students as active participants in higher education. Partnership working offers numerous beneficial outcomes but can be challenging to negotiate. Therefore, this study aimed to explore how student–staff partnerships in pedagogic research were interpreted and enacted. Twenty-one participants (12 staff, nine students) who had been part of an institutional bursary scheme where students and staff work together in partnership on research projects related to learning and teaching participated in either a semi-structured interview or focus group. Data were analysed thematically. Conceptions of effective partnerships centred on notions of togetherness and mutuality. Considerations of hierarchy and the need for flexibility in working practices underpinned perspectives. The partnerships established between staff and students reflected three approaches, comparable to the established roles of research assistant, dissertation student and research team. Implications for practice and methodological considerations are discussed.
Effect of Ag Nanoparticle Size on Ion Formation in Nanoparticle Assisted LDI MS

Metal nanoparticles (NPs) were reported as an efficient matrix for detection of small molecules using laser desorption/ionization mass spectrometry. Their pronounced efficiency is mostly in desorption enhancement, while, in some cases, NPs can facilitate charge transfer to a molecule, which has been reported for alkali metals and silver. In this work, we present the study of the influence of Ag NP size on the laser desorption/ionization mass spectra of a model analyte, the molecule of riboflavin. The NPs were produced by magnetron sputtering-based gas aggregation in a vacuum and mass-filtered before the deposition on substrates. It was found that the utilization of smaller Ag NPs (below 15 nm in diameter) considerably enhanced the molecule desorption. In contrast, the laser irradiation of the samples with larger NPs led to the increased ablation of silver, resulting in [analyte + Ag]+ adduct formation.
Exploring factors influencing online classes due to social distancing in COVID-19 pandemic: a business students perspective

This study explores the factors responsible for influencing online classes for business school during the COVID-19 pandemic. This study also examines the level of influence of these factors on online classes. ,Primary data were collected online from 716 business school students using a questionnaire developed by the researcher. Smart PLS3 software was used to analyze the data. ,Attitude, curriculum, motivation, technology and training were found to have an impact on online classes. Three variables (attitude, motivation and training) have a positive impact on online classes, whereas two variables (curriculum and technology) have a negative impact on the online classes. All the factors have been found to be significant except technology which is found to have an insignificant impact (p = 0.356) on online classes. ,Only one university’s students were surveyed. ,Outlines the factors which have a positive and significant impact on online classes during COVID-19 pandemic. This study can be generalized through a student's community across the world as the students face similar problems associated with online classes during the COVID-19 pandemic. ,Suggest factors that can be considered while COVID-19 pandemic during social distancing to make online classes more effective and to reduce the impact of this pandemic. ,No study has documented the factors associated to impact the online classes during the COVID-19 pandemic.
Nonlinear Position Control Using Differential Flatness Concept with Load Torque Observer for Electro Hydraulic Actuators with Sinusoidal Load Torque

We propose a nonlinear position control using a differential flatness concept with a load torque observer to compensate for the sinusoidal load torque in electro-hydraulic actuators (EHAs) EHAs. In an EHA with a rotational joint, the load torque is a sinusoidal disturbance, whose magnitude can be estimated via a load torque observer. In the proposed load torque observer, the load torque can be estimated without requiring its maximum frequency to be known. The position controller tracks position and comprises an inner-loop load pressure controller and an outer-loop position controller. The former tracks the desired pressure via near input–output linearization. The desired pressure is developed using the differential flatness of the mechanical system in the EHA. The feedback plus feedforward outer-loop position controller is designed to track the desired position and to compensate for the load torque. The stability of the closed-loop system is mathematically proven using the input-to-state stability property.
HEPATOPROTECTIVE EFFECT OF CHENOPODIUM QUINOA SEED AGAINST CCL4-INDUCED LIVER TOXICITY IN SWISS ALBINO MALE MICE

Â Â Objective: To study the effect of Quinoa seed on carbon tetrachloride (CCL4)-induced liver toxicity in Swiss albino male mice.Methods: Swiss albino male mice were divided into three groups: Group 1 served as control group; Group 2 served as hepatotoxic group (CCl4 treated); and Group 3 served as combination of Quinoa seed powder (20 mg/kg) + CCl4-treated group. The effect of these groups on liver tissue was studied after three different periods of 4, 8, and 12 weeks. Liver marker enzyme level of serum glutamic-oxaloacetic transaminase, serum glutamic-pyruvic transaminase, serum alkaline phosphatase and liver antioxidant enzyme level of lipid peroxidation, superoxide dismutase, and reduced glutathione were measured. Further, histopathological analysis of liver was also conducted.Results: The results showed that the treatment with Quinoa seed powder significantly reduced CCl4-induced elevated serum level of hepatic enzymes and restored the level of liver antioxidant enzymes toward the normal levels, which was also confirmed by histopathological studies.Conclusion: Results of the present study concluded that the Quinoa seed (Chenopodium quinoa) showed hepatoprotective effect against CCl4-induced liver damage in Swiss albino male mice.
Pharmacological and Cosmeceutical Potential of Seaweed Beach-Casts of Macaronesia

Seaweed beach-casts are a seasonal phenomenon that regularly deposits tons of algae biomass on beaches, which are usually disposed of in landfills. The present work aimed to contribute to the valorization of this biomass by studying bioactivities that reveal its potential in the pharmaceutical and/or cosmeceutical industries. Methanol and ethanol extracts and fractions from 15 beach-casts biomass were tested for a range of bioactivities. Eight of the most active samples exhibit IC50 values between 11.38 µg/mL and 19.28 µg/mL and selectivity indexes higher than 3.8, against NCI-H1299 (lung cancer) and T47D (breast cancer). Concerning antiaging potential, all the extracts tested presented UV protection, with SPF values above 30, like the standard sunscreen. Regarding aging-related enzymes, 24 samples were tyrosinase inhibitors exhibiting IC50 values from 9.01 µg/mL to 200.09 µg/mL. Eight extracts inhibited collagenase (IC50 < 248.76 µg/mL), two of them more actively than positive control EDTA (IC50 = 59.26 µg/mL). In addition to UV protection, the cumulative effect of antityrosinase and anticollagenase activities shown by the samples suggest that they may play a significant role in preventing skin photoaging. The results obtained demonstrate the high potential of beach-cast seaweed biomass as sources of cosmetic bioproducts with antiaging effects, and of selective cytotoxic metabolites.
Development of critical thinking in mathematics classes via authentic learning: an action research

The aim of this study was to examine how fifth grade students’ critical thinking and problem-solving skills can be developed using practices based on Newman and Weglage’s (1993. Five standarts for authentic instruction. Educational Leadership, 50(7), 8–12) authentic learning standards (high-order thinking, depth of knowledge, relation with the world beyond the classroom, constant conversion and social support for student achievement). The main aim of the study was to offer different perspectives on mathematics education by focusing on development of critical thinking skills needed to understand mathematics. The study was carried out in six cycles via an action research model. The data consisted of unconstructed observations (camera recordings), students’ scores on CTR (Critical Thinking Rubric), and their journals and written documents. The research results showed that practices based on authentic learning standards improved such critical thinking skills as comprehending, comparing, proving, suggesting new solutions, and reflecting on problem solving processes of the students who were included in the target study group.
Validation of the Transient Liquid Crystal Thermography Technique for Heat Transfer Measurements on a Rotating Cooling Passage

The transient liquid crystal thermography can be a suitable tool to study heat-transfer performances on internal cooling schemes of gas turbine blades. One of the hot topics related to this methodology is about the level of reliability of the heat-transfer assessments in rotating tests where the fluid experiences time-dependent rotating effects. The present study contribution aims to experimentally validate by cross-comparison of the outcomes obtained by employing the transient technique with those from the steady-state liquid crystal thermography in which the rotational effects occur as time-stable by definition. Heat-transfer measurements have been conducted on a rib-roughened square cross-section channel, with an inlet Reynolds number equal to 20,000 and rotation number up to 0.2. Special attention has been paid to the definition of the more reliable calibration strategy for liquid crystals that are employed in the transient thermography and to the proper estimation of the heat losses in the post-processing of the steady-state experimental data. The results show great accordance between the indications provided by the two techniques both in static and rotating conditions, demonstrating the possibility to exploit the advantages of the transient liquid crystal thermography for the investigation of heat transfer into rotating cooling channels.
Some Estimates for Holomorphic Functions at the Boundary of the Unit Disc

In this paper, for holomorphic function f(z) = z + c2z + c3z + · · · belong to the class of N (λ), it has been estimated from below the modulus of the angular derivative of the function zf ′(z) f(z) on the boundary point of the unit disc.
1.3-µm passively mode-locked quantum dot lasers epitaxially grown on silicon: gain properties and optical feedback stabilization

This work reports on an investigation of the optical feedback in an InAs/InGaAs passively mode-locked quantum dot (QD) laser epitaxially grown on silicon. Under the stably-resonant optical feedback condition, experiments demonstrate that the radio-frequency linewidth is narrowed whatever the bias voltage applied on the saturable absorber (SA) is; on the other hand, the effective linewidth enhancement factor of the device increases with the reverse bias voltage on the SA, hence it is observed that such an increase influences the mode-locking dynamic and the stability of device under optical feedback. This work gives insights for stabilizing epitaxial QD mode-locked lasers on silicon which is meaningful for their applications in future large-scale silicon electronic and photonic applications requiring low power consumption as well as for high-speed photonic analog-to-digital conversion, intrachip/interchip optical clock distribution and recovery.
Dielectrophoretic separation of platelet cells in a microfluidic channel and optimization with fuzzy logic

It is the aim to develop optimization techniques to separate platelets from Red Blood Cells (RBCs) after designing and analyzing a microfluidic chip in this study. RBCs and platelets are present in the blood, but some healthcare applications require either platelets or RBCs. Therefore, it is necessary to separate platelets from RBCs. In this study, the design and analysis of the microfluidic chip were carried out with the Comsol Multiphysics program. Since the separation of platelets and RBCs in the blood flowing from a channel is provided by the Dielectrophoretic (DEP) force technique, the DEP force feature was given importance in the design of microfluidic channels. Much data was obtained while designing and analyzing processes. It has been observed that the voltage applied to the microfluidic channel and the inlet velocity of the blood affect the fluidic velocity and pressure along the microfluidic channel. It was also understood that the separation of platelets from RBCs depends on input data. Input and output data were analyzed in the Comsol Multiphysics program, and the optimization of the microfluidic chip was realized with the Matlab-Fuzzy Logic program. In order for the platelets to be separated from the RBCs, the optimum voltage to be applied to the microfluidic chip should be in the range of 4–6 V and the inlet velocity of the blood in the range of 800–900 μm s−1. When these input values are given, the maximum pressure affecting the microfluidic outlet channel is 10–12 Pa, and the maximum velocity is in the range of 1.25–1.5 mm s−1. These results are the optimum values required to separate platelets from RBCs.