Miracle-dz/UniFAR-FTUs huggingface dataset:
Forget the “Mommy Track”: Temporal Flexibility Increases Promotion Aspirations for Women and Reduces Gender Gaps

Gender gaps in pay and career advancement increase as people take on greater caregiving responsibilities, with large gaps persistent in high-level, time-intensive positions. Given extant research concerning gender roles, and job demands and resources, I hypothesized that temporal flexibility, in particular control over work hours, would positively affect promotion aspirations, especially for women. Moreover, this interaction effect would be mediated by anticipation of work–family conflict. Results from two studies—correlational and experimental—supported these predictions. In Study 1, using archival data from the General Social Survey, results revealed an interaction between gender and temporal flexibility on promotion aspirations. Among a sample of working parents with children, temporal flexibility was significantly and positively associated with promotion aspirations for women with the opposite pattern found for men. A subsequent experimental study, concerning a promotion to a time-intensive position with an online sample of parents, revealed that women reported lower aspirations for this type of promotion compared to men when the position was characterized as inflexible, but the gap disappeared when the position offered temporal flexibility. Anticipated work–family conflict explained this interaction effect. Highlighting flexibility and schedule control increased promotion aspirations among women, an important implication for employers looking to recruit and promote female employees. Online slides for instructors who want to use this article for teaching are available on PWQ’s website at http://journals.sagepub. com/doi/suppl/10.1177/03616843211003070
Nanotechnology for Molecular Imaging of Atherosclerosis: Current Design and Approaches

Atherosclerosis complications such as myocardial infarction or stroke is still one of the most critical causes of death worldwide. Advance and innovative diagnostic technologies are urgently required to discover an early stage of the disease, such as plaque instability and thrombosis. A combination of molecular imaging probes based on well-designed nanomaterials with leading-edge imaging methods is currently concreting the direction for novel and distinctive approaches to examine the inflammatory growth in atherosclerosis. Over the past several decades, an exceptional understanding of the biological nature of atherosclerosis provides unique opportunities to better treat atherosclerotic disease with targeted imaging and nanomedicines. Consequently, tremendous development has been initiated in the nanotechnology application; the leading engineering tools working at molecular range, which is designed for diagnostic and therapeutic approach, called theranostic. This review underlying ideas involving the potential and development of molecular imaging technologies that had been invented for studying atherosclerosis. We envisage that many molecular imaging methods will become valuable assistants to the clinical management of targeted treatment in the atherosclerosis disease together with their challenges and future perspective in clinical translation.
Noncontact Monitoring of IGBT Turn-OFF Time Using PWM Switching Ringing for Inverter-Fed Machine Systems

Turn-off time is an important condition parameter for insulated gate bipolar transistor (IGBT), which could provide useful information on the device junction temperature and its state of health. Currently, it is measured directly from the IGBT collector-emitter voltage Vce or indirectly from the gate side, which may cause problems of safety and complexity for a power converter operating in a harsh electromagnetic environment. To address the challenges, this article proposes a noncontact method to monitor the IGBT turn-off time from the PWM switching ringing in the converter output current. First, a phenomenon is observed that there are two switch-over points in the switching ringing current corresponding to the transition of IGBT turn-off voltage. Analytical analysis is performed with a high-frequency (HF) equivalent circuit to investigate the mechanism of the one-to-one temporal relationship. Then, the noncontact condition monitoring (CM) scheme including the HF switching ringing current sensor and the framework of CM system is devised. Finally, experimental work is carried out to validate the theoretical analysis and the effectiveness of the method. Research results show that the turn-off time of multi-IGBTs can be effectively extracted at the terminal of converter during system normal operation with electrically isolated safety.
Determination of aluminum in wine by graphite furnace AAS: Validation of analytical method

A reliable and rapid method is presented for the determination of the total concentration of Al in wine by graphite furnace atomic absorption spectrometry (GFAAS). The method was validated and its analytical characteristics were checked (algorithm calibration curve, selectivity, analytical limits, accuracy, and precision). White, red, and fortified wines were used for the analysis. The method involves reduced risk of sample contamination using a one-step pre-treatment procedure. The calibration does not require matrix simulation since it is obtained with aqueous solutions of Al. The matrix effect is minimized by the high dilution of the sample (1:40). Calibration curves from aqueous standards were used to calculate the detection and quantification limits of the analyte resulting in 1 pg L -1 and 2 pg L -1 , respectively. The determination was performed in the linear range of 2-50 μg L -1 . Spiking the wine samples with aqueous Al resulted in recoveries between 96% and 105%. Replicate wine samples at several Al concentration levels resulted in relative standard deviations better than 3.0% (n = 10), indicating that the analytical method is of high precision. The advantages of the method (practicability, specificity, precision, and accuracy) make it suitable for routine Al determinations in wine.
A comprehensive test method for measuring actuation performance of McKibben artificial muscles

The versatile nature of artificial muscles and their applications is derived from their ability to actuate in tensile, torsional and bending modes that can mimic the action of hydraulic rams, electric motors and biomimetic curling arms, respectively. Artificial muscles have exhibited great potential for fabricating robotic components and surgical tools due to their resemblance to biological muscles; along with their high actuation force per mass. For further investigation of these artificial muscles as tensile actuators with practical applications, it is imperative to standardise methods for characterising their performance. This article applies an integrated characterization method: simultaneously measuring the free stroke of a McKibben-type hydraulic artificial muscle; the stroke while operating against an externally applied force (isotonic); the blocked force of these muscles while keeping the muscle at constant length (isometric); and the force and displacement change when the muscle operates against a return spring (variable force, pressure). This linear mechanics approach has been verified and allows the prediction of these fundamental actuation characteristics while illustrating the effects of changing external load on the muscle performance. This study proposes an important approach to assist the design of McKibben muscles when used to carry variable loads such as in exoskeletons, prosthetics, and robotics applications.
Estilo motivacional docente en educación física: ¿cómo afecta a las experiencias del alumnado?

Resumen Siguiendo la teoría de la autodeterminación, el objetivo del estudio fue analizar si la percepción del alumnado sobre el apoyo a las necesidades psicológicas básicas (autonomía, competencia y relación social) y el estilo controlador (interno y externo) del profesorado predicen las experiencias del alumnado en las clases de educación física. Participaron 942 estudiantes de Educación Secundaria Obligatoria (ESO) y Bachillerato (M = 14.37; DT = 1.55; 50.3% chicas y 49.7% chicos). Los resultados mostraron que el apoyo a la relación social predijo positivamente las experiencias del alumnado, mientras que el estilo controlador interno las predijo de forma negativa. El alumnado que experimentó experiencias “muy malas” y “malas”, mostró los valores más bajos de percepción de apoyo a las necesidades psicológicas básicas y los más elevados de estilo controlador interno y externo, mientras que lo contrario ocurrió en el alumnado que reportó experiencias “muy buenas”. Estos hallazgos subrayan la importancia de que el profesorado de educación física adopte un estilo motivacional en el que apoye las tres necesidades psicológicas básicas y evite el uso de un estilo controlador para generar experiencias más positivas en su alumnado.
Environmental controls on long-term growth of freshwater mussels in an oligotrophic lake

Freshwater mussels are one of the most endangered groups of animals and live in some of the fastest changing ecosystems in the world. Unfortunately, very little is known about how their life history and ecology are influenced by their environment, especially for lake-dwelling populations. In this study, we paired ∼30 y of extensive environmental data to lifetime and annual growth rates of a population of Fatmucket mussels (Lampsilis siliquoidea) living in a cool-water oligotrophic lake in northern Wisconsin, USA. This population displayed one of the slowest growth rates and longest lifespans within its phylogenetic tribe (Lampsilini). Growth rates were highly variable between individuals and, in contrast to studies in other systems, not related to temperature, growing season, or any indicators of primary production. However, growth rates were positively correlated with changes in lake level. We hypothesize that mussel growth in this system is linked to landscape-level environmental conditions and allochthonous resource limitation.
Study of Neck and Low Back Pains among Students

Background: Neck pain (NP) is regarded as a chronic episodic condition characterized by persistent, recurrent, or fluctuating pain and disability. Low back pain (LBP) is social and economic health problem that affects population of all ages globally. Objective: To evaluate the prevalence and associated risk factors of neck and low back pains among students at Faculty of Medicine, Zagazig University. Patients and Methods: This was a cross sectional study that included 360 students at Faculty of Medicine, Zagazig University through the period from September 2018 to April 2019. Assessment of presence or absence of neck pain and back pain by Standardized Nordic Musculoskeletal questionnaire. Results: 96 of the students were males (26.6%) and 264 were females (73.3%), their ages ranged from 18-25 years with a mean of 20.68 ± 1.92 years old, where 162 students of them ≤ 20 (45%) & 198 of them > 20 years old (55%). Prevalence of neck pain and/or low back pain among the studied group of students was 81.1%, while 18.9% of students were free from neck & low back pain. NP presented in 74.4% of students and LBP presented in 73.1% of all studied students. 66.4% of participants reported both NP & LBP. There was statistical significant association between reading hours (> 3 hours/ day) and NP & LBP. Conclusion: High prevalence of NP and/or LBP 81.1% among medical students. Students complaining from NP and/or LBP had longer studying and reading time, presented mostly in clinical years in addition they had ergonomic problems and poor psychological studying environments.
Alfalfa for a Sustainable Ovine Farming System: Proposed Research for a New Feeding Strategy Based on Alfalfa and Ecological Leftovers in Drought Conditions

In the past 10 years, the average demand for meat and milk across the world has significantly increased, especially in developing countries. Therefore, to support the production of animal-derived food products, a huge quantity of feed resources is needed. This paper does not present original research, but rather provides a conceptual strategy to improve primary production in a sustainable way, in relation to forthcoming issues linked to climate change. Increases in meat and milk production could be achieved by formulating balanced diets for ovines based on alfalfa integrated with local agricultural by-products. As the central component of the diet is alfalfa, one goal of the project is increasing the yield of alfalfa in a sustainable way via inoculating seeds with symbiotic rhizobia (i.e., Sinorhizobium meliloti). Seed inoculants are already present on the market but have not been optimized for arid soils. Furthermore, a part of the project is focused on the selection of elite symbiotic strains that show increased resistance to salt stress and competitiveness. The second component of the experimental diets is bio-waste, especially that obtained from olive oil manufacturing (i.e., pomace). The addition of agro-by-products allows us to use such waste as a resource for animal feeding, and possibly, to modulate rumen metabolism, thereby increasing the nutritional quality of milk and meat.
Dramatic Improvement in Toughness of PLLA/PVDF Blends: the Effect of Compatibilizer Architectures

Reactive comb (RC) polymers with different molecular architectures have been successfully synthesized by copolymerizing methyl methacrylate (MMA), glycidyl methacrylate (GMA), and a series of MMA macromer with different molecular weights. The prepared RC polymers with different lengths of side chains were applied as compatibilizers in an immiscible poly(l-lactic acid)/poly(vinylidene fluoride) (PLLA/PVDF) blend, and it was found that the RC polymers with moderate length of side chain (e.g., Mn = 4800 g mol–1) displayed better compatibilizing efficiencies than RC polymers with short side chain (e.g., Mn = 2400 g mol–1) and let alone the reactive linear (RL) polymers without side chains. The thus obtained PLLA/PVDF blends with PLLA as a matrix will provide excellent adhesion with the surfaces of the metals and cells, and it was found that RC polymers endowed the PLLA/PVDF blend with excellent toughness and the RC-compatibilized blend could be uniaxially stretched to a maximum draw ratio of 5 at room tempera.
The Effects of Topical Olive Oil on the Pain Intensity among Patients with Knee Osteoarthritis

Given the importance of relieving pain and disability experienced by the patients, the present study aimed to study the Effects of topical olive oil on the pain intensity among patients with knee osteoarthritis. The patients were randomly assigned into the experimental (28 patients) and control groups (27 patients). Firstly, in tropical olive oil (TOO) group, a high-quality olive oil, branded as Famila was used and in the control group, Diclofenac gel was applied. In experimental groups, 5 drops of herbal oils were applied to the knee thrice a day at morning, noon and evening and the knees were covered with a nylon sheet for more absorption. The patients were followed up for 4 weeks and their capability and pain intensities were evaluated prior the study, during the first week, the second week and the fourth week with Visual Analogue Scale. Data were analyzed using descriptive and analytical tests by SPSS V. 16 software. According to the findings, also the Mean Original Research Article Ghaysouri et al.; JPRI, 33(19B): 33-38, 2021; Article no.JPRI. 66523 34 (SD) pre-intervention Pain score in experimental group A was 8.10(0.91), which decreased to 1.78(0.78) after the intervention and in the control group from 8.55(0.69) to 3.85(0.98). Due to the greater effect of olive oil compared to Diclofenac gel on reducing pain of patients with KOA, it is recommended that patients use olive oil. Further studies are also recommended.
Eye-tracking as a window into assembled phonology in native and non-native reading

The past 30 years of reading research has confirmed the importance of bottom-up processing. Rather than a psycholinguistic guessing game (Goodman, 1967), reading is dependent on rapid, accurate recognition of written forms. In fluent first language (L1) readers, this is seen in the automatic activation of a word’s phonological form, impacting lexical processing (Perfetti & Bell, 1991; Rayner, Sereno, Lesch & Pollatsek, 1995). Although the influence of phonological form is well established, less clear is the extent to which readers are sensitive to the possible pronunciations of a word (Lesch & Pollatsek, 1998), derived from the varying consistency of grapheme-to-phoneme correspondences (GPCs) (e.g., although ‘great’ has only one pronunciation, [ɡɹeɪt], the grapheme within it has multiple possible pronunciations: [i] in [plit] ‘pleat’, [ɛ] in [bɹɛθ] ‘breath’; Parkin, 1982). Further, little is known about non-native readers’ sensitivity to such characteristics. Non-native readers process text differently from L1 readers (Koda & Zehler, 2008; McBride-Chang, Bialystok, Chong & Li, 2004), with implications for understanding L2 reading comprehension (Rayner, Chace, Slattery & Ashby, 2006). The goal of this study was thus to determine whether native and non-native readers are sensitive to the consistency of a word’s component GPCs during lexical processing and to compare this sensitivity among readers from different L1s.
Vision-Based Pavement Marking Detection and Condition Assessment—A Case Study

Pavement markings constitute an effective way of conveying regulations and guidance to drivers. They constitute the most fundamental way to communicate with road users, thus, greatly contributing to ensuring safety and order on roads. However, due to the increasingly extensive traffic demand, pavement markings are subject to a series of deterioration issues (e.g., wear and tear). Markings in poor condition typically manifest as being blurred or even missing in certain places. The need for proper maintenance strategies on roadway markings, such as repainting, can only be determined based on a comprehensive understanding of their as-is worn condition. Given the fact that an efficient, automated and accurate approach to collect such condition information is lacking in practice, this study proposes a vision-based framework for pavement marking detection and condition assessment. A hybrid feature detector and a threshold-based method were used for line marking identification and classification. For each identified line marking, its worn/blurred severity level was then quantified in terms of worn percentage at a pixel level. The damage estimation results were compared to manual measurements for evaluation, indicating that the proposed method is capable of providing indicative knowledge about the as-is condition of pavement markings. This paper demonstrates the promising potential of computer vision in the infrastructure sector, in terms of implementing a wider range of managerial operations for roadway management.
Mobile Malware Detection using Anomaly Based Machine Learning Classifier Techniques

Mobile phones are a significant component of people's life and are progressively engaged in these technologies. Increasing customer numbers encourages the hackers to make malware. In addition, the security of sensitive data is regarded lightly on mobile devices. Based on current approaches, recent malware changes fast and thus become more difficult to detect. In this paper an alternative solution to detect malware using anomaly-based classifier is proposed. Among the variety of machine learning classifiers to classify the latest Android malwares, a novel mixed kernel function incorporated with improved support vector machine is proposed. In processing the categories selected are general information, data content, time and connection information among various network functions. The experimentation is performed on MalGenome dataset. Upon implementation of proposed mixed kernel SVM method, the obtained results of performance achieved 96.89% of accuracy, which is more effective compared with existing models.
Novas análises e experimentos em modelo local-global para classificação

Resumo — Apresentam-se novas análises para um procedimento com um enfoque local-global para classificação dicotômica anteriormente proposto. Entre os avanços está uma extensão para o contexto multiclasse. Talvez a principal contribuição seja uma análise sobre a quantidade de protótipos que reflete o quanto o modelo é localna fase de particionamento não supervisionado. Quanto mais local o modelo, maior é sua complexidade. Nos experimentos numéricos mostra-se entre outros aspectos relevantes que o modelo se comporta bastante bem em situações de amostras com poucas observações e com desbalanceamento entre classes.
An assistive model of obstacle detection based on deep learning: YOLOv3 for visually impaired people

The World Health Organization (WHO) reported in 2019 that at least 2.2 billion people were visual-impairment or blindness. The main problem of living for visually impaired people have been facing difficulties in moving even indoor or outdoor situations. Therefore, their lives are not safe and harmful. In this paper, we propose d an assistive application model based on deep learning: YOLOv3 with a Darknet-53 base network for visually impaired people on a smartphone. The Pascal VOC2007 and Pascal VOC2012 were used for the training set and used Pascal VOC2007 test set for validation. The assistive model was installed on a smartphone with an eSpeak synthesizer which generates the audio output to the user. The experimental result showed a high speed and also high detection accuracy. The proposed application with the help of technology will be an effective way to assist visually impaired people to interact with the surrounding environment in their daily life.
Mutational analysis of Sonic Hedgehog (SHH) gene in Polydactyly families from Balochistan, Pakistan

Polydactyly (PD) is the most frequent inherited limb abnormal development, featuring extra digits in feet and/or hand. Polydactyly is omnipresent and has been found in other species of kingdom animalia and others including, horses, dogs & pigs. The current study was conducted with main aim to analyze and sequence the causative gene responsible for autosomal recessive malformation, namely Polydactyly in affected individuals from Balochistan, Dermatology and Venerolgy Department, Sandemn Provincial Hospital (SPH) Quetta, from 1 of May 2018 to 30 of November 2018. The samples (blood) were obtained from affected and normal individuals from four families and extracted Genomic DNA from blood samples by Inorganic method followed by DNA dilution, Gel Electrophoresis, Polymerase Chain Reaction (PCR) and DNA sequencing. The sequencing data failed to identify the disease causing mutation in the coding region and splice site junctions of SHH gene. Our results suggest that the disease-causing mutation in the studied families with polydactyly may be present in the other known gene, i.e. GLI3. It is also possible that the polydactyly in these four families is caused by mutation in a novel gene. An additional study is required to explore mutations in other genes (FGF4, FGF8, and WNT7a) which will additionally strengthen our knowledge about characteristics of polydactyly on the level of its molecular genetics especially in Balochistan.