Miracle-dz/UniFAR-FTUs huggingface dataset:
Sensation Seeking and Self-esteem Differences among Illegal Street Racers in Malaysia

Although illegal (motorcycle) street racing is alarming, little is known about the age, educational and psychological characteristics of these illegal (motorcycle) street racers (mat rempit). Therefore, the aim of this research is to examine the age, educational and selected psychological characteristics of mat rempit in Malaysia. This cross-sectional research was carried out with 197 mat rempit who participated in the Centre for Empowering Youth (Pusat Pemerkasaan Remaja—PERKASA) intervention program. A set of survey questionnaire which comprises of demographic information and measure of sensation seeking and self-esteem were administered. The correlation analysis and a series of one-way ANOVAs were carried out. The correlation analyses showed that there was a strong positive correlation between sensation seeking and global sensation. While impulsivity was strongly correlated with global sensation, impulsivity was having low positive correlation with mild offence. The ANOVA analysis showed that there was no significant difference on sensation seeking, impulsivity, global sensation, self-esteem based on different age groups. However, the only significant difference was reported on impulsivity based on education level differences. Further analysis with Tukey post hoc test showed that the significant difference on impulsivity was found between primary education group and upper secondary education group. The strong correlation between sensation seeking and global sensation has the potential to guide researchers in treating these constructs for future research. Knowledge on educational differences has the potential to facilitate understanding of impulsivity among mat rempit in Malaysia context. DOI: 10.5901/mjss.2016. v7n1s1p96
Efficient Low-rank Multimodal Fusion With Modality-Specific Factors

Multimodal research is an emerging field of artificial intelligence, and one of the main research problems in this field is multimodal fusion. The fusion of multimodal data is the process of integrating multiple unimodal representations into one compact multimodal representation. Previous research in this field has exploited the expressiveness of tensors for multimodal representation. However, these methods often suffer from exponential increase in dimensions and in computational complexity introduced by transformation of input into tensor. In this paper, we propose the Low-rank Multimodal Fusion method, which performs multimodal fusion using low-rank tensors to improve efficiency. We evaluate our model on three different tasks: multimodal sentiment analysis, speaker trait analysis, and emotion recognition. Our model achieves competitive results on all these tasks while drastically reducing computational complexity. Additional experiments also show that our model can perform robustly for a wide range of low-rank settings, and is indeed much more efficient in both training and inference compared to other methods that utilize tensor representations.
Subtotal Resection of an Anaplastic Ganglioglioma in Pregnancy

Background Anaplastic ganglioglioma is a rare malignant brain tumor associated with high morbidity and mortality. The diagnosis of a central nervous system malignancy in the early 3rd trimester presents management challenges to both neurosurgeons and obstetricians. Case A 33-year-old woman, gravida 2 para 1, presented at 28 6/7 weeks with four months of worsening headaches, nausea, vomiting, and mental status changes due to a 7.5 cm anaplastic ganglioglioma. Maternal deterioration necessitated subtotal tumor debulking allowing prolongation of the gestation to 34 6/7 weeks. After delivery, the patient underwent further resection, followed by chemotherapy and radiation. Both mother and infant are well. Discussion This case underscores the importance of timely diagnostic imaging in pregnant women and demonstrates subtotal tumor debulking as a viable means of prolonging gestation.
On the Coupling between Barotropic and Baroclinic Modes of Extratropical Atmospheric Variability

AbstractThe baroclinic and barotropic components of atmospheric dynamics are usually viewed as interlinked through the baroclinic life cycle, with baroclinic growth of eddies connected to heat fluxes, barotropic decay connected to momentum fluxes, and the two eddy fluxes connected through the Eliassen-Palm wave activity. However, recent observational studies have suggested that these two components of the dynamics are largely decoupled in their variability, with variations in the zonal mean flow associated mainly with the momentum fluxes, variations in the baroclinic wave activity associated mainly with the heat fluxes, and essentially no correlation between the two. These relationships are examined in a dry dynamical core model under different configurations and in Southern Hemisphere observations, considering different frequency bands to account for the different timescales of atmospheric variability. It is shown that at intermediate periods longer than 10 days the decoupling of the baroclinic and barot.
Eight-Week Battle Rope Training Improves Multiple Physical Fitness Dimensions and Shooting Accuracy in Collegiate Basketball Players

Abstract Chen, WH, Wu, HJ, Lo, SL, Chen, H, Yang, WW, Huang, CF, and Liu, C. Eight-week battle rope training improves multiple physical fitness dimensions and shooting accuracy in collegiate basketball players. J Strength Cond Res 32(10): 2715–2724, 2018—Basketball players must possess optimally developed physical fitness in multiple dimensions and shooting accuracy. This study investigated whether battle rope (BR) training enhances multiple physical fitness dimensions, including aerobic capacity (AC), upper-body anaerobic power (AnP), upper-body and lower-body power, agility, and core muscle endurance, and shooting accuracy in basketball players and compared its effects with those of regular training (shuttle run [SR]). Thirty male collegiate basketball players were randomly assigned to the BR or SR groups (n = 15 per group). Both groups received 8-week interval training for 3 sessions per week; the protocol consisted of the same number of sets, exercise time, and rest interval time. The BR group exhibited significant improvements in AC (Progressive Aerobic Cardiovascular Endurance Run laps: 17.6%), upper-body AnP (mean power: 7.3%), upper-body power (basketball chest pass speed: 4.8%), lower-body power (jump height: 2.6%), core muscle endurance (flexion: 37.0%, extension: 22.8%, and right side bridge: 23.0%), and shooting accuracy (free throw: 14.0% and dynamic shooting: 36.2%). However, the SR group exhibited improvements in only AC (12.0%) and upper-body power (3.8%) (p < 0.05). The BR group demonstrated larger pre–post improvements in upper-body AnP (fatigue index) and dynamic shooting accuracy than the SR group did (p < 0.05). The BR group showed higher post-training performance in upper-body AnP (mean power and fatigue index) than the SR group did (p < 0.05). Thus, BR training effectively improves multiple physical fitness dimensions and shooting accuracy in collegiate basketball players.
CORL Expression in the Drosophila Central Nervous System Is Regulated by Stage Specific Interactions of Intertwined Activators and Repressors

CORL proteins (SKOR in mice and Fussel in humans) are a subfamily of central nervous system (CNS) specific proteins related to Sno/Ski oncogenes. Their developmental and homeostatic roles are largely unknown. We previously showed that Drosophila CORL (dCORL; fussel in Flybase) functions between the Activin receptor Baboon and Ecdysone Receptor-B1 (EcR-B1) activation in mushroom body neurons of third instar larval brains. To better understand dCORL regulation and function we generated a series of reporter genes. We examined the embryonic and larval CNS and found that dCORL is regulated by stage specific interactions between intertwined activators and repressors spanning numerous reporters. The reporter AH.lacZ, which contains sequences 7-11kb upstream of dCORL exon1, reflects dCORL brain expression at all stages. Surprisingly, AH.lacZ was not detected in EcR-B1 expressing mushroom body neurons. In larvae AH.lacZ is coexpressed with Elav and the transcription factor Drifter in dILP2 insulin producing cells of the pars intercerebralis. The presence of dCORL in insulin producing cells suggests that dCORL functions non-autonomously in the regulation of EcR-B1 mushroom body activation via the modulation of insulin signaling. Overall, the high level of sequence conservation seen in all CORL/SKOR/Fussel family members and their common CNS specificity suggest that similarly complex regulation and a potential function in insulin signaling are associated with SKOR/Fussel proteins in mammals.
Twelve steps to heaven: Successfully managing change through developing innovative teams

In this article we propose that work teams implement many of the innovative changes required to enable organizations to respond appropriately to the external environment. We describe how, using an input – process – output model, we can identify the key elements necessary for developing team innovation. We propose that it is the implementation of ideas rather than their development that is crucial for enabling organizational change. Drawing on theory and relevant research, 12 steps to developing innovative teams are described covering key aspects of the team task, team composition, organizational context, and team processes.
Physiological analysis of the stress response associated with acute silver nitrate exposure in freshwater rainbow trout (Oncorhynchus mykiss)

Rainbow trout were exposed to AgNO3 (9.2 μg/L total Ag, of which 35% was as the free ion, Ag+) for a 6‐d period in dechlorinated Hamilton tapwater. Our findings suggest that the primary toxic mechanism of Ag is an interruption of ionoregulation at the gills, stopping active Na+ and Cl− uptake without increasing passive efflux, thereby causing net ion loss. There is no recovery of influxes over 6 d, whereas effluxes are gradually reduced below control levels, and ion balance remains negative. The resulting fall in plasma [Na+] and [Cl−] leads to a decrease in plasma volume and hemoconcentration, but the red blood cells do not swell. A substantial metabolic acidosis with partial respiratory compensation occurs in the blood, due to a net uptake of acidic equivalents from the environmental water. This uptake greatly exceeds the measured acid load in the extracellular fluid, suggesting that acidosis also occurs in the intracellular compartment, which in turn explains the continual loss of K+ to the water in the absence of any change in plasma [K+]. Plasma ammonia, glucose, and cortisol rise. As there is no reduction but rather a progressive rise in ammonia excretion, the increase in plasma ammonia is due to elevated metabolic production rather than inhibited excretion. The cause is probably the stress‐induced mobilization of cortisol. This increased plasma ammonia, in conjunction with hyperventilation, helps to counteract metabolic acidosis. However, because the fish is unable to counteract the loss of plasma ions, death eventually results from a severe ionoregulatory disturbance.
The Krüppel-Like Factor Gene Target Dusp14 Regulates Axon Growth and Regeneration

Purpose Adult central nervous system (CNS) neurons are unable to regenerate their axons after injury. Krüppel-like transcription factor (KLF) family members regulate intrinsic axon growth ability in vitro and in vivo, but mechanisms downstream of these transcription factors are not known. Methods Purified retinal ganglion cells (RGCs) were transduced to express exogenous KLF9, KLF16, KLF7, or KLF11; microarray analysis was used to identify downstream genes, which were screened for effects on axon growth. Dual-specificity phosphatase 14 (Dusp14) was further studied using genetic (siRNA, shRNA) and pharmacologic (PTP inhibitor IV) manipulation to assess effects on neurite length in vitro and survival and regeneration in vivo after optic nerve crush in rats and mice. Results By screening genes regulated by KLFs in RGCs, we identified Dusp14 as a critical gene target limiting axon growth and regeneration downstream of KLF9's ability to suppress axon growth in RGCs. The KLF9-Dusp14 pathway inhibited activation of mitogen-activated protein kinases normally critical to neurotrophic signaling of RGC survival and axon elongation. Decreasing Dusp14 expression or disrupting its function in RGCs increased axon growth in vitro and promoted survival and optic nerve regeneration after optic nerve injury in vivo. Conclusions These results link intrinsic and extrinsic regulators of axon growth and suggest modulation of the KLF9-Dusp14 pathway as a potential approach to improve regeneration in the adult CNS after injury.
Evolutionary Auto-Tuning for Multicore Applications

Multicore processors have conquered desktops PCs, servers, and embedded platforms. Parallel computing is now available for a large spectrum of applications, many of which are nonnumerical. The increasing parallel hardware and software diversity, however, poses great challenges for programmers. They struggle with application performance optimization and have to account for many diverse and interdependent software parameters that need a proper configuration on every platform. But even if applications are adaptive, a naive approach of manually configuring application performance parameters on each platform becomes infeasible. Large search spaces and long run-times make exhaustive searches impractical, and intuitive values can miss sweet spots altogether. We tackle this important problem and present a domain-independent automatic performance tuning approach that works with a large spectrum of applications. We introduce a novel infrastructure in Eclipse that completely automates the application tuning process using evolutionary search strategies, and which is easy to use by average programmers. Our approach improves portability and works for numerical and non-numerical programs. To tune a program, a feedback-directed optimizer collects run-time information to predict parameter configurations that are likely to lead to good performance in future runs. Our technique generalizes auto-tuning to make it applicable for a variety of application-level parameters and programs in different domains. We quantify the effectiveness of various tuning strategies on a diverse set of applications and multicore platforms. We provide comparative evidence that evolutionary strategies optimize well, most notably significantly better than the simplex-based search algorithms that are predominantly used in the literature. Our insights are grounded on evidence thoroughly gathered from modelbased analyses as well as from performance analyses with real programs, including non-numerical programs. Technical Report 2011-29 Karlsruhe Institute of Technology (KIT), Germany Institute for Program Structures and Data Organization (IPD) October 4, 2011
LncRNA WWOX-AS1 inhibits the proliferation, migration and invasion of osteosarcoma cells

Recently, numerous long non-coding (lnc)RNAs have been revealed as serving important roles in human gene regulation. Previous studies have suggested that aberrant expression of lncRNAs is associated with cancer progression and metastasis. Previous studies have also demonstrated that decreased expression of WW domain-containing oxidoreductase (WWOX) is associated with poor prognosis in numerous cancer types. However, the effect of WWOX antisense RNA 1 (WWOX-AS1) in the development of cancer remains unknown. The aim of the present study was to investigate the role of WWOX-AS1 in osteosarcoma. The expression levels of WWOX-AS1 in human osteosarcoma cell lines and a normal osteoblastic cell line were investigated using reverse transcription-quantitative polymerase chain reaction (RT-qPCR). The results revealed that WWOX-AS1 expression was downregulated in osteosarcoma tissues. Furthermore, the association between WWOX-AS1 and the prognosis of patients with osteosarcoma was investigated using Kaplan-Meier and log-rank tests. The results suggested that patients exhibiting high WWOX-AS1 expression demonstrated a greater overall survival compared with patients exhibiting low WWOX-AS1 expression. In addition, overexpression and knockdown of WWOX-AS1 was performed using transfection experiments and confirmed by RT-qPCR in MG63 and SAOS2 cells, respectively. The results demonstrated that WWOX-AS1 and WWOX expression were positively correlated. Furthermore, the results of the knockdown and overexpression functional experiments suggested that WWOX-AS1 overexpression inhibited the proliferation, migration and invasion of MG63 cells, and knockdown of WWOX-AS1 enhanced the proliferation, migration and invasion of MG63 cells in SAOS2 cells. In conclusion, the results of the present study suggested that WWOX-AS1 may represent a potential biomarker and therapeutic target for the treatment of osteosarcoma.
Food fraud and the perceived integrity of European food imports into China

Background/Aims Persistent incidents of food fraud in China have resulted in low levels of consumer trust in the authenticity and safety of food that is domestically produced. We examined the relationship between the concerns of Chinese consumers regarding food fraud, and the role that demonstrating authenticity may play in relieving those concerns. Methods A two-stage mixed method design research design was adopted. First, qualitative research (focus groups n = 7) was conducted in three Chinese cities, Beijing, Guangzhou and Chengdu to explore concerns held by Chinese consumers in relation to food fraud. A subsequent quantitative survey (n = 850) tested hypotheses derived from the qualitative research and theoretical literature regarding the relationship between attitudinal measures (including risk perceptions, social trust, and perceptions of benefit associated with demonstrating authenticity), and behavioral intention to purchase “authentic” European products using structural equation modelling. Results Chinese consumers perceive food fraud to be a hazard that represents a food safety risk. Food hazard concern was identified to be geographically influenced. Consumers in Chengdu (tier 2 city) possessed higher levels of hazard concern compared to consumers in Beijing and Guangzhou (tier 1). Structural trust (i.e. trust in actors and the governance of the food supply chain) was not a significant predictor of attitude and intention to purchase authenticated food products. Consumers were shown to have developed ‘risk-relieving’ strategies to compensate for the lack of trust in Chinese food and the dissonance experienced as a consequence of food fraud. Indexical and iconic authenticity cues provided by food manufacturers and regulators were important elements of product evaluations, although geographical differences in their perceived importance were observed. Conclusions Targeted communication of authenticity assurance measures, including; regulations; enforcement; product testing; and actions taken by industry may improve Chinese consumer trust in the domestic food supply chain and reduce consumer concerns regarding the food safety risks associated with food fraud. To support product differentiation and retain prestige, European food manufactures operating within the Chinese market should recognise regional disparities in consumer risk perceptions regarding food fraud and the importance of personal risk mitigation strategies adopted by Chinese consumers to support the identification of authentic products.
Validity of a Self-administered Food Frequency Questionnaire for the Estimation of Acrylamide Intake in the Japanese Population: The JPHC FFQ Validation Study

Background Acrylamide, a probable carcinogen to humans, forms during high temperature cooking. Dietary exposure to acrylamide among the Japanese population is unknown. We aimed to establish and validate a method to assess acrylamide exposure among the Japanese population using a food frequency questionnaire (FFQ) from the Japan Public Health Center-based prospective study. Methods Validation studies for the FFQ were conducted in 1994 (Cohort I, n = 215) and 1996 (Cohort II, n = 350). The 28-day dietary records (DRs) were collected over 1 year. The FFQ was distributed before and after DR collection. Data for acrylamide exposure were based on reported measurements in Japan, and calculations considered the cooking process for specific vegetables in a home setting. Spearman’s rank correlation and weighted kappa coefficients were calculated from energy-adjusted data. Results Mean acrylamide intake levels estimated from DRs for Cohorts I and II were 6.78 (standard deviation [SD], 3.89) µg/day and 7.25 (SD, 3.33) µg/day, and corresponding levels estimated from the FFQ were 7.03 (SD, 4.30) µg/day and 7.14 (SD, 3.38) µg/day, respectively. Deattenuated correlation coefficients for men and women were 0.54 and 0.48 in Cohort I and 0.40 and 0.37 in Cohort II, respectively. Weighted kappa coefficients were over 0.80 in all cases. The main contributing food groups from DRs were beverages, confectioneries, vegetables, potatoes and starches, and cereals. Conclusions High kappa values validate the use of FFQ in epidemiological studies. The marked contribution of cooked vegetables indicates the importance of considering household cooking methods in assessing acrylamide intake levels in the Japanese population.
The dynamics and prethermalization of one-dimensional quantum systems probed through the full distributions of quantum noise

Quantum noise correlations have been employed in several areas of physics, including condensed matter, quantum optics and ultracold atoms, to reveal the non-classical states of the systems. To date, such analyses have mostly focused on systems in equilibrium. In this paper, we show that quantum noise is also a useful tool for characterizing and studying the non-equilibrium dynamics of a one-dimensional (1D) system. We consider the Ramsey sequence of 1D, two-component bosons, and obtain simple, analytical expressions for time evolutions of the full distribution functions for this strongly correlated, many-body system. The analysis can also be directly applied to the evolution of interference patterns between two 1D quasi-coindensates created from a single condensate through splitting. Using the tools developed in this paper, we demonstrate that 1D dynamics in these systems exhibits the phenomenon known as ‘prethermalization’, where the observables of non-equilibrium, long-time transient states become indistinguishable from those of thermal equilibrium states.
Metaphor Detection by Deep Learning and the Place of Poetic Metaphor in Digital Humanities

The paper presents the work that has been done as part of the Graph Poem project in developing metaphor classiﬁers, now by deep learning methods (after previously having developed rule-based and machine learning algorithms), and a web-based metaphor detection tool. After reviewing the existing work on metaphor in natural language processing (NLP), digital humanities (DH), and artiﬁcial intelligence (AI), we present our own research and argue in favor of adopting data-intensive approaches, developing NLP classiﬁers, and applying graph theory (and particularly networks of networks) in computational literary or poetry analysis, while also high-lighting the relevance of such work to DH, NLP, and AI in general.