Miracle-dz/UniFAR-FTUs huggingface dataset:
Oldroyd-B fluid flow over a rotating disk subject to Soret–Dufour effects and thermophoresis particle deposition

In this study, an investigation of magnetohydrodynamics flow of Oldroyd-B fluid by a rotating disk with the influence of thermophoresis on the deposition of particles is discussed. Additionally, the Soret–Dufour effects are taken into consideration. The von Karman transformation is used and the numerical results are obtained through BVP Midrich technique in Maple. The results are given through graphical structure and tabular form. The solutions of the governing equations are obtained and presented graphically in the form of velocity fields, temperature and concentration distributions. The results of local Stanton number (or inward axial thermophoretic deposition velocity) are presented through table. Results reveal that axial thermophoretic velocity enhances with the enlargement of relative temperature difference parameter and thermophoretic coefficient.
4G Signal Booster

A system which is capable of or adapted for turning easily from one to another of various tasks, fields of endeavor have been evolved since 1980’s as time changes everything is of higher execution, higher limit and simplicity of getting to from anyplace on the world. There is a fast progression in remote correspondence innovation giving the system benefits anyplace and at whatever time 4G correspondence frameworks are being created to take care of the different issues the present correspondence frameworks (3G, 2.5G) are facing. In this paper we give a simple booster which works on the present network 4G.We talk about the innovations that exist in market and can be utilized to upgrade the system data transmission and execution of the right now living innovation in the market. Some of regions were ineffectively secured by wire line gadgets because of significant expense. 4G will be a canny innovation that will decrease the quantity of various advances to a solitary worldwide standard. This would lead to more efficient 4G mobile networks. As previously used Specifically, An artificial intelligent technique involving the use of Bat Algorithm (BA) and Artificial Neural Network (ANN) have been proposed. Nowadays everyone is preferred wireless then wired connection and everyone need wireless connectivity. It is trusted that this will fill in as a one-stop look for specialists and engineers in the significant field of remote sign promoters and extenders, who wish to realize what is accessible and existing difficulties.
Flow induced by an oscillating circular cylinder close to a plane boundary in quiescent fluid

Flow induced by an oscillating circular cylinder close to a plane boundary in quiescent fluid is simulated numerically by solving the two-dimensional Navier–Stokes equations. The aim of this study is to investigate the effects of the gap ratio between the cylinder and plane boundary ($G$), the oscillation direction of the cylinder ($\unicode[STIX]{x1D6FD}$) and the Keulegan–Carpenter ($KC$) number on the flow at a low Reynolds number of 150. Simulations are conducted for $G=0.1$, 0.5, 1, 1.5, 2 and 4, and $KC$ numbers between 2 and 12. Streaklines generated by releasing massless particles near the cylinder surface and contours of vorticity are used to observe the behaviour of the flow around the cylinder. The vortex shedding process from the cylinder is found to be very similar to that of a cylinder without a plane boundary except for $G=0.1$ and $\unicode[STIX]{x1D6FD}=0^{\circ }$, where vortices cannot be generated below the cylinder. Two streakline streets exist for all the flow regimes if there was not a plane boundary. A streakline street from the cylinder can be affected by the plane boundary in three ways: (1) it is suppressed by the plane boundary and stops propagating; (2) it rolls up after it meets the boundary and forms a recirculation zone; and (3) it splits into two streakline streets and forms two recirculation zones after it attacks the plane boundary. A refined classification method for flow induced by an oscillating cylinder close to a plane boundary is proposed by including a variant number, which represents the behaviour of the streaklines, into the regime names, and all the identified flow regimes are mapped on the $KC$–$G$ plane. The drag and inertia coefficients of the Morison equation are obtained using the least-squares method. A very small gap of $G=0.1$ significantly increases both the drag and inertia coefficients especially when $\unicode[STIX]{x1D6FD}=0^{\circ }$. If $G=1$ and above, the plane boundary changes the drag coefficient by less than 10 % compared with that of a cylinder without a plane boundary, and the effect of the plane boundary on the inertia coefficient is weak only when the $KC$ number is sufficiently small and vortex shedding does not exist.
Radiation and Divergence Times of Batoidea

ABSTRACT We present a time-scaled analysis based on morphological characters to estimate the divergence ages for the major batoid clades. Two approaches were used: tip-dating, which allows the extinct taxa to be included as terminals, assessing the phylogenetic relations and their divergence time simultaneously; and basic and minimum branch length (‘a posteriori' methods) that date a pre-existing unscaled topology, given a set of stratigraphic data for the taxa involved. We used stratigraphic indexes to compare the divergence ages recovered by both methods. The tip-dating approach obtained a more resolved topology and slightly better stratigraphic index scores than the other methods. Overall the tip-dating analysis recovered slightly earlier divergence ages than the rest of the time dating analyses and the known fossil record of the groups. However, these divergence ages were not as old as those estimated by molecular analysis. Our results suggest the diversity increase through the Late Jurassic–Early Cretaceous might not be gradual, and that Early Cretaceous diversity could be significantly higher. As several divergence events are placed in the Early Cretaceous, there is a suggestion that an active period of cladogenesis leads to the Late Cretaceous high diversity. The last divergence events recovered by the present analysis occurred in the Paleogene and led to the extant groups of batoids.
Study of the Biceps Fatigue after Surgery on the Long Head of Biceps Tendon in Male Heavy Workers. A Prospective Randomized Clinical Trial Comparing Biomechanics and Clinical Outcomes after Tenotomy Versus Tenodesis

LEVEL OF EVIDENCE: 2B SUMMARY The aim of this study was to evaluate biceps fatigue and strength after tenotomy vs tenodesis of the LHBT. The hypothesis was that there may be differences when analyzing biceps fatigue between both techniques. Methods. 70 male heavy workers were initially enrolled to perform a biomechanical study. Preoperatively and 12 months after surgery a maximum elbow flexion force (MVC) and forearm supination test (MVS) were analyzed. Subsequently, a biceps fatigue test was performed by a submaximal contraction to 33% of MVC maintained until claudication. After the claudication, the MVC and MVS were measured again. In addition, the Constant score, SSI functional scale, VAS scale and perceived symptoms were evaluated. 45 patients met de inclusion criteria and were randomized into tenotomy or tenodesis group. 41 of them were followed-up for at least one year. Results. There were no differences between groups at the end of the follow-up in MVC (246.81 ± 57,4 vs 273.69 ± 58,8 N) nor in MVS (50,73 ± 6,31 vs 177.7 ± 71.6 Nm). The fatigue test was statistically shorter in the tenotomy group (95.18 ± 28.8 vs 122.53 ± 42.1 s). Popeye sign was higher in the tenotomy group. There were no differences in postoperative pain, function scales, groove pain or biceps cramps. Conclusions. The usual biomechanical study using maximum flexion or supination force has not seen differences, while the study of biceps fatigue has found them. The study of biceps fatigue is necessary to analyze the differences that with the standard study of maximum strength could be hidden.
Distributed sliding mode leader-following consensus controller for uncertain time-delay linear parameter-varying multiagent systems

This study addresses the consensus problem of leader-following multiagent systems, whose dynamics are governed by time-delay linear parameter-varying models with norm-bounded uncertainties. At first, a delay-dependent sufficient condition concerned with the existence of a parameter-varying sliding surface is given in terms of linear matrix inequalities. Then, a robust consensus among the leader and followers is achieved via the distributed linear parameter-varying sliding mode control protocol. Conditions for closed-loop stability are also presented in the form of some theorems. Simulation results demonstrate the effectiveness of the proposed approach.
Functions and mechanism of WRKY transcription factors in Brassinosteroid-regulated plant growth and stress response

Brassinosteroids (BRs), a family of plant steroid hormones, plays indispensable role in plant growth and development. BRs signal is perceived by BR receptors BRI1 and BAK1, which transduce the hormonal signal to downstream transcription factors BES1/BZR1 through a series of intermediates including BSU1 and BIN2, thus activating the expression of thousands of BR target genes. BRs also play a vital role in the stress response, including drought and defense response. However, the molecular mechanisms by which BRs regulate stress response have just begun to be revealed. A general introduction about BR signaling pathway, and the crosstalk between BR and stress response is discussed in Chapter 2. My research goal is to study BR-mediated stress response to help understand how plants fine-tune growth in the face of drought and pathogen attack. In Chapter 3, we characterized three group III transcription factors, WRKY46/54/70, which are involved in BR-regulated plant growth and drought stress by cooperating with BES1 to positively regulate BR target genes and negatively control drought-responsive genes. The wrky46 wrky54 wrky70 triple mutants (w54t) had stunted growth in a BR-dependent manner. The decreased expression of BR biosynthesis genes (CPD, DET2 and DWF4) and slightly reduced endogenous BR level were found in w54t mutant. Surprisingly, we found that nearly 40% of the Arabidopsis genome is differentially expressed in w54t by RNA-seq analysis. Among those, a large portion of BES1-regulated genes were differentially expressed in the w54t mutant. Moreover, we found that WRKY54 regulates the expression of BR target genes with BES1 through direct physical interaction. On the other hand, the w54t mutants showed strong tolerance to drought stress with about 53% of dehydration-induced genes up regulated in the mutant while 64% of dehydration-repressed genes down regulated. WRKY54 also function together with BES1 to regulate the transcription of
Opportunity Cost of Education on Non-Farm Employment in Rural Nigeria

Purpose: Returns on education was found to be worker, scale and allocative effects with positive higher payoff to agricultural productivity but its effects on non-farm employment among agricultural households who obtain income through non-farm activities to complement proceeds of agricultural activities are not yet known. Therefore, this study critically investigates the real cost effect of education on involvement in non-farm employment among rural households in South-western Nigeria. Research Method: The study drew a sample of 411 rural farm households through a multi-stage sampling technique from three states in southwest Nigeria and the data obtained were analyzed using the Mincerian equation, logistic model, inverse of Herfindahl index, calculation of expected annual rural income earning and rates of return to schooling. Findings: Results indicate that mean age and education of the rural household heads were 49.9 years and 8.8 years respectively while the household incomes were diversified up to 2.82 level and the non-farm sources contributed an average of 67% of the total income. Education is found to have considerable returns of N4706.30 (US$31.95) to gross household income and an additional year of schooling from other members of the households returns of N12519.90 (US$85) to the households’ income. Education of the household heads increases the probability of farm households participating in rural non-farm employment but the probability of participation reduces with increased level of education of the household heads. Tertiary education has the highest opportunity costs of schooling (N352200.04) per annum and the lowest rate of return to schooling (0.57%) from rural non-farm employment. Research Limitations: The study revealed the real cost of rural farm households’ educational level on the type of non-farm employment and income generated through it. The study presents information on south-western zone of Nigeria. Originality/Value: The practical value of this research is that decline rates of return to higher education reveal the rural non-farm employment being not the prime incentive for rural farm households’ members in obtaining higher education in rural southwest Nigeria. Therefore, implications are drawn for an integrated approach to higher education which may yield agricultural and non-agricultural transformation in rural Nigeria.
Deep Learning-Based Lane Marking Detection using A2-LMDet

Automated lane marking detection is essential for advanced driver assistance system (ADAS) and pavement management work. However, prior research has mostly detected lane marking segments from a front-view image, which easily suffers from occlusion or noise disturbance. In this paper, we aim at accurate and robust lane marking detection from a top-view perspective, and propose a deep learning-based detector with adaptive anchor scheme, referred to as A2-LMDet. On the one hand, it is an end-to-end framework that fuses feature extraction and object detection into a single deep convolutional neural network. On the other hand, the adaptive anchor scheme is designed by formulating a bilinear interpolation algorithm, and is used to guide specific-anchor box generation and informative feature extraction. To validate the proposed method, a newly built lane marking dataset contained 24,000 high-resolution laser imaging data is further developed for case study. Quantitative and qualitative results demonstrate that A2-LMDet achieves highly accurate performance with 0.9927 precision, 0.9612 recall, and a 0.9767 F 1 score, which outperforms other advanced methods by a considerable margin. Moreover, ablation analysis illustrates the effectiveness of the adaptive anchor scheme for enhancing feature representation and performance improvement. We expect our work will help the development of related research.
Written and visual cyberbullying victimization in adolescence: Shared and unique associated factors

ABSTRACT The present study investigated the antecedents of cyberbullying victimization and addressed the commonalities and differences between visual and written forms of cyberbullying victimization among 3172 Italian adolescents (51.6% male, M age = 13.74 years, SD = 1.70) who participated in the Health Behaviour in School-Aged Children (HBSC, 2014) survey. The results from two logistic regression models revealed that the two distinct forms of cyberbullying victimization presented common and unique associated factors. Family support was negatively associated with both forms of cyberbullying victimization, while greater use of social networks and frequent experiences of traditional bullying victimization were positively associated with both forms. Neither written nor visual forms of cyberbullying victimization were associated with the quality of school relationships or online gaming frequency. Gender (female) was associated with written, but not visual, cyberbullying victimization. Finally, visual cyberbullying victimization was positively associated with high family socio-economic status and traditional bullying perpetration. The findings highlight the urgent need to tailor preventive and intervention strategies for the adolescent population.
Joint Adversarial Training of Speech Recognition and Synthesis Models for Many-to-One Voice Conversion Using Phonetic Posteriorgrams

SUMMARY This paper presents a method for many-to-one voice conversion using phonetic posteriorgrams (PPGs) based on an adversarial training of deep neural networks (DNNs). A conventional method for many-to-one VC can learn a mapping function from input acoustic features to target acoustic features through separately trained DNN-based speech recognition and synthesis models. However, 1) the di ﬀ erences among speakers observed in PPGs and 2) an over-smoothing e ﬀ ect of generated acoustic features degrade the converted speech quality. Our method performs a domain-adversarial training of the recognition model for reducing the PPG di ﬀ erences. In addition, it incorporates a generative adversarial network into the training of the synthesis model for alleviating the over-smoothing e ﬀ ect. Unlike the conventional method, ours jointly trains the recognition and synthesis models so that they are optimized for many-to-one VC. Experimental evaluation demonstrates that the proposed method signiﬁcantly improves the converted speech quality compared with conventional VC methods.
Maintaining the Status Quo through Repressed Silences: The Case of Paid Domestic Labour in Post-Apartheid South Africa

As competent social actors, we individually and collectively leave things unsaid that might threaten to disrupt the status quo. In this article, we outline an understanding of the unsaid and extend its implications to include what we call ‘repressed silences’ or silences about which we do not speak. Drawing on a diary-interview study involving five domestic labour dyads comprised of a white employer and a black worker, we examine silences topicalised by participants, how the unsaid stands in contrast to what could/should have been said and finally how these silences constitute a form of repressed silences. We demonstrate how the topic of paid domestic labour and its labour-related roles, rights and responsibilities are silenced – and the silence itself is not spoken of – among participants, thereby (re)producing the status quo of South Africa’s (racialised) inequalities and hierarchies.
An Ensemble Method to Predict Target Genes and Pathways in Uveal Melanoma

Abstract Objective This work proposes to predict target genes and pathways for uveal melanoma (UM) based on an ensemble method and pathway analyses. Methods: The ensemble method integrated a correlation method (Pearson correlation coefficient, PCC), a causal inference method (IDA) and a regression method (Lasso) utilizing the Borda count election method. Subsequently, to validate the performance of PIL method, comparisons between confirmed database and predicted miRNA targets were performed. Ultimately, pathway enrichment analysis was conducted on target genes in top 1000 miRNA-mRNA interactions to identify target pathways for UM patients. Results: Thirty eight of the predicted interactions were matched with the confirmed interactions, indicating that the ensemble method was a suitable and feasible approach to predict miRNA targets. We obtained 50 seed miRNA-mRNA interactions of UM patients and extracted target genes from these interactions, such as ASPG, BSDC1 and C4BP. The 601 target genes in top 1,000 miRNA-mRNA interactions were enriched in 12 target pathways, of which Phototransduction was the most significant one. Conclusion: The target genes and pathways might provide a new way to reveal the molecular mechanism of UM and give hand for target treatments and preventions of this malignant tumor.
Factors Influencing College Students Recycling Attitudes and Behaviors

This study explored contextual factors that impact students recycling attitudes and behaviors on a community college campus in Texas, U.S.A. Previous studies revealed that it was unknown what community college students’ attitudes and behaviors impact their recycling on a community college campus. Participants for the study had to be enrolled at the community college for studies at the time of data collection. An online questionnaire was used to collect self-administered data via SurveyMonkey, and the researcher conducted a face-to-face interview. Three constructs were utilized: attitudes, subjective norms, and perceived behavioral controls of the theory of planned behavior to explore what could be impacting students’ active recycling participation on the community college campus. The population sample size was 13 community college students from Texas, U.S.A. A six-step thematic analysis was used to analyze data through the themes that emerged. The findings supported earlier research findings that people’s attitudes are mainly dependent on the moral values and general norms of their society. The results and future research implications were discussed. The study revealed that most students had positive behaviors and recycled. Future researchers can conduct statistical analysis and extend the research to more colleges.
Hybrid Non-Volatile Flip-Flops Using Spin-Orbit-Torque (SOT) Magnetic Tunnel Junction Devices for High Integration and Low Energy Power-Gating Applications

This paper presents two novel hybrid non-volatile flip-flops (NVFFs) comprised of the conventional CMOS flip-flop for static storage in normal operations and Spin-Orbit-Torque Magnetic Tunnel Junction (SOT-MTJ) devices for temporary storage during power gating. The proposed NVFFs re-utilize a part of the standard CMOS flip-flop infrastructure for storing and restoring data onto MTJs for reducing the area. Furthermore, the proposed NVFFs re-use a write current, which is used for storing an MTJ, to write the other MTJ at a time, resulting in 50% storing energy reduction. To reduce the area further, the number of external terminals of an MTJ is reduced by shorting the shorting physical terminals. Removing a terminal using the proposed STT-Like SOT configuration results in fewer transistors to control. The proposed NVFF circuits are evaluated using a compact MTJ model targeting implementation in a 14-nm technology node. Analysis indicates that area overheads are only 10.3% and 6.9% compared to the conventional D flip-flop because three or two minimum-sized NMOS transistors are added for accessing MTJs. Compared to the best previously known NVFFs, the proposed NVFF has an improvement by a factor of 2–8 in terms of the area overhead.
Untargeted plasma metabolomics identifies broad metabolic perturbations in glycogen storage disease type I

The metabolic defect in glycogen storage disease type I (GSDI) results in fasting hypoglycemia and typical secondary metabolic abnormalities (eg, hypertriglyceridemia, hyperlactatemia, hyperuricemia). The aim of this study was to assess further perturbations of the metabolic network in GSDI patients under ongoing treatment.