Miracle-dz/UniFAR-FTUs huggingface dataset:
FKBP4 connects mTORC2 and PI3K to activate the PDK1/Akt-dependent cell proliferation signaling in breast cancer

Purpose: Among the FKBP family members, FKBP4 has been described to have a potential role in tumorigenesis, and as a putative tissue marker. We previously showed that FKBP4, an HSP90-associated co-chaperone, can elicit immune response as a tumor-specific antigen, and are overexpressed in breast cancer. Experimental design: In this study, we examined how loss of FKBP4 affect breast cancer progression and exploited protein interactomics to gain mechanistic insight into this process. Results: We found that FKBP4 expression is associated with breast cancer progression and prognosis, especially of ER-negative breast cancer. Furthermore, FKBP4 depletion specifically reduces cell growth and proliferation of triple negative breast cancer cell model and xenograft tumor model. Using specific protein interactome strategy by BirA proximity-dependent biotin identification, we demonstrated that FKBP4 is a novel PI3K-Akt-mTOR proximal interacting protein. Conclusion: Our results suggest that FKBP4 interacts with PI3K and can enhance Akt activation through PDK1 and mTORC2.
Action recognition in realistic scenes via local spatio-temporal representation

In this paper, we consider the problem of human action recognition in realistic scenes. Mainstream methods adopt local spatio-temporal patterns matching strategy that detect STIPs (Spatio-Temporal Interest Points) and compute features from raw video frames, and then classify the features into some predefined action categories. However, these researches have made certain assumptions seldom hold in the real-world environment such as small scale, without viewpoint changes and background motion. To obtain more effective detection and description for human action videos of complex scenes, we improve the performance of STIPs detection in realistic scenes by filtering out noises resulted from low resolution or cluttered background. In addition, we propose a new feature description method that uses 3D local self-similarities to compensate for motion estimation error due to camera motion. BoW (Bag-of-Words) model is applied to learn a codebook in training stage, and a nonlinear SVM classifier is used for action recognition finally. Experimental results show that our approach achieve superior performance on more challenge dataset (Youtube) in comparison to baseline method.
UTJECAJ SPORTSKOG PROGRAMA NA PROMJENE MOTORIČKIH SPOSOBNOSTI PREDŠKOLACA

SAŽETAK Cilj rada: Sportske aktivnosti prepoznate su kao jedan od nacina kojim se, podizanjem opce tjelesne i psihicke kondicije, može sprijeciti nastanak raznih bolesti. Kao i ostale navike, tako se misli da navike bavljenja sportom treba poceti usvajati vec u najranijem djetinjstvu, dakle u predskolskoj dobi. Cilj je naseg istraživanja bio utvrditi utjecaj bavljenja sportom na promjenu motorickih sposobnosti djece predskolske dobi. Ispitanici i metode: Istraživanje je provedeno na ukupno 136 djece (61 djevojcica i 75 djecaka) u dobi od cetiri do sest godina iz nekoliko predskolskih ustanova grada Rijeke u kojima se provodi sportski program. Motoricke sposobnosti predskolaca izmjerene su na pocetku i na kraju programa serijom od 6 motorickih testova kojima se testiraju eksplozivna snaga, repetitivna snaga, gibljivost, koordinacija, agilnost i ravnoteža. Utvrđivali smo osnovne deskriptivne karakteristike rezultata primijenjenih motorickih testova, globalne i parcijalne promjene između inicijalnog i zavrsnog mjerenja motorickih sposobnosti djecaka i djevojcica. Rezultati: Rezultati su pokazali poboljsanje motorickih sposobnosti djece kao ucinku trenažnog djelovanja primijenjenog sportskog programa. Najznacajnija razlika uocena je u testu procjene repetitivne snage, a najniža u testu gibljivosti. Analizirajuci razlike motorickih sposobnosti između djecaka i djevojcica, možemo zakljuciti da djecaci imaju opcenito bolje rezultate testova eksplozivne snage i koordinacije, a djevojcice u testiranju repetitivne snage, gibljivosti i ravnoteže.
The moderating effect of loyalty cards on the relationship between store awareness, store perceived quality and store brand choice A survey on selected supermarkets in Eldoret Town, Kenya

This study aimed to examine the moderating effect of loyalty cards on the relationship between store awareness, store perceived quality and store brand choice. For this explanatory research design was used. Systematic sampling was used to collect data using self-administered questionnaire from a sample size of 384 of shoppers. Reliability test of the research instrument was done by the use of Cronbach alpha. Pearson correlation and multiple regression models were used to analyze the data and to test the hypotheses using SPSS. The findings show that store awareness, store perceived quality, and loyalty cards have a significant effect on store brand choice. Further, that loyalty cards have a significant moderating effect on the relationship between store awareness and store choice, thus providing new findings in scholarly literature. Companies should therefore put strategies in place to enhance store perceived quality, store awareness and shopping cards involvement which leads to store choice. Stores should also provide enough information to customers on the benefit of loyalty cards involvement as it’s an important factor in the relationship between store awareness and store choice.
BEHAVIOURAL REGULATION IN EXERCISE FOR COLLEGE STUDENTS’ LEVEL OF MOTIVATION IN PHYSICAL ACTIVITY

Background: Physical activity is any bodily movement produced by skeletal muscles that requires energy expenditure This study only aimed at . measuring, evaluating and scoring behavioural regulation in exercise for college students' level of motivation in physical activity. Methods: Behavioural Regulation in Exercise Questionnaire (BREQ), was adopted as research instrument. The variables were analyzed using IBM-SPSSv.23 Statistics, with a sampled size of 500 students, a mean and standard deviation age of [28.5±9.5] ranged from (19-38) years, were selected using simple random sampling with a response rate of 100%. Results: The results showed a significant difference for all tested variables with intrinsic motivation scoring highest [F = 42.530 with sig. (≤.001), t = 6.521 with 2-tailed sig. (≤.001)] and identified regulation scoring lowest [F = 3.172 with sig. (.076), t = -1.781 with 2-tailed sig. (.076)] in tables 3,4&5. The results were tested @ significance of p<0.05. Conclusion and Recommendation: In conclusion, greater majority of respondents responded more in favour of intrinsic motivation. However, autonomy in self-determination rather than rewards and threats to help improve the motivational level of college students in physical activity, was strongly recommended.
Appendix to ” Growth and Ideas under Uncertainty ”

Stochastic growth models are generally impossible to solve in closed form. Despite their intractability, several recent studies have found closed-form solutions to AK or Uzawa-Lucas growth models. Following their lead, I analyze the stochastic Romer model in which endogenous technological progress follows a combination of a controlled diffusion process and many Poisson jump processes. Finding its explicit solution, I demonstrate that larger technology shocks deteriorate the welfare of households and slow down economic growth. Simple simulation for Japan suggests the importance of stochastic elements in accounting for technological progress. Moreover, in another specification, I show that higher uncertainty induces more consumption.
Within-Household Respondent Selection : How Best to Reduce Total Survey Error ?

In 2008, the MRC retained noted survey researcher Dr. Paul J. Lavrakas to review the state of knowledge concerning within-household respondent selection methods, and to make recommendations concerning current and possible enhanced practices related to this subject. We did so because we had a growing concern that some widely used methods (e.g., “Last Birthday”) might not be working as intended nor yielding samples with satisfactory demographic compositions, at least in some cases.
Examining the Earnings Persistence and Its Components in Explaining the Future Profitability

The present study aims at a comparative examination of the earnings persistence and the distributed earnings and their components in explaining the future profitability of the corporations. In this study, net income is decomposed into current operating accruals, non-current operating accruals and cash items. The distributed earnings also involve the funds paid to two groups, including the shareholders and the creditors. Using filtering technique, 114 listed firms on the Tehran Stock Exchange over the years from 2006 to 2011 have been selected as the sample. To analyze the data, univariate and multivariate regression based on panel data and seemingly unrelated regression (SUR) have been used. The findings reveal that the net income and the distributed earnings significantly impact the future profitability. Furthermore, it was found that the components of the net income are directly associated with the future profitability. The findings also confirm the higher persistency of the distributed income in comparison with the aggregated net income in relation to the cash paid to the shareholders.
Combining Ability Studies through Diallele Analysis for Yield and its Component Traits in Sesame ( Sesamum indicum L . )

Diallel analysis, involving eight parents without reciprocals was carried out in F2 generation of sesame for twelve important yield components. The analysis of variance indicated that though additive and non additive gene effects are important for these characters, there was specific role of additive gene control for plant height and number of capsules on main stem, for the remaining characters the non additive gene control was recorded. The GCA effects indicated that the parent Co-1 was good general combiner for seed yield per plant, plant height, number of capsules per plant, number of capsules on main stem and number of capsules on primary branches, ACV2 for early flowering and DT 9-10-2-25 for number of secondary and primary branches. Among the 28 hybrids studied the crosses Co-1 x AVT26, Co-1 x DT 9-102-25, TNAU 20 x AVT 26, Co-1 x TMV6 and TNAU 20 x TMV26 were the potential as they had high significant SCA effects with desirable per se mean for 3 to 4 yield components characters. Desirable transgressive segregants are expected
Does Institutional Quality Foster Economic Complexity?

This paper examines the extent to which the quality of institutions, measured by the Economic Freedom of the World index, helps shape cross-country differences in economic complexity. To this end, I employ the intensity of ultraviolet radiation (UV-R) to isolate an exogenous source of variation in institutions, which helps circumvent endogeneity concerns. Empirical results indicate that the exogenous component of institutional quality exerts a strong and robust positive effect on economic complexity. The findings prevail after performing a battery of robustness tests. Furthermore, I find that institutions affect economic complexity by inducing human capital accumulation and strengthening incentives for innovative activities.
Real-Time Smile Detection using Deep Learning

Real-time smile detection from facial images is useful in many real world applications such as automatic photo capturing in mobile phone cameras or interactive distance learning. In this paper, we study different architectures of object detection deep networks for solving real-time smile detection problem. We then propose a combination of a lightweight convolutional neural network architecture (BKNet) with an efficient object detection framework (RetinaNet). The evaluation on the two datasets (GENKI-4K, UCF Selfie) with a mid-range hardware device (GTX TITAN Black) show that our proposed method helps in improving both accuracy and inference time of the original RetinaNet to reach real-time performance. In comparison with the state-of-the-art object detection framework (YOLO), our method has higher inference time, but still reaches real-time performance and obtains higher accuracy of smile detection on both experimented datasets.
Psychophysical investigations of perceptual learning and attention

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ACE 10 TOWARDS A FUNCTIONAL GEOMETRY OF WESTERN EUROPE

The European Commission’s spatial planning discourse places strong emphasis on the development of a regionally balanced urban system, recognising the importance of towns, cities and metropolitan urban regions in achieving the objectives of the revitalised Lisbon Agenda. This paper draws upon network analysis to examine the functional relationships between a sample of 28 European metropolitan urban regions, through an evaluation of air passenger flows. The evaluation of these flows contributes to an enhanced understanding of the spatial dynamics of the European metropolitan hierarchy, extending well beyond that deriving from more standard analyses of the individual components of the urban system. The visualisation of the resulting spatial configuration and the positioning of the different metropolitan urban regions contrasts with the more traditional map-based geographical image of Europe, going some way towards meeting the challenge before spatial planners today of effectively communicating the ever changing spatial dynamics at the European scale.
Sociotechnical Adaptive Water Governance: A Case Study of Water Governance in Lombok Indonesia

Navigating hydrological change and social-ecological complexity requires adaptive water governance. However, moving from premise to practice has been problematic, particularly in developing contexts. Strategies aimed at translating governance prescriptions into practical planning and sustained implementation are not well articulated nor understood. Thus, this paper examines a water governance paradigm in Lombok, Indonesia with the objective of expounding the dynamics between adaptive water governance and contextual conditions. This case study reveals an innovative pathway toward achieving governance prescriptions. In Lombok, decentralized technical decision-making acts as a fulcrum on which adaptive water governance processes are initiated. Further unpacking this approach suggests it can serve as a context- tailored transformative strategy that balances top-down and bottom-up approaches. Rather than radically alter contextual constraints, this strategy exploits them to produce adaptive governance opportunities. In doing so, it is more likely to overcome the traditional challenges of entrenched interests, high transaction costs, and institutional inertia. These findings underscore shortcomings in our understanding of the interconnection between technological and social dimensions of water governance. The importance of how social and institutional factors affect technical water management outcomes is well understood, however the converse of this dynamic is often overlooked. Therefore, this paper advocates for a more comprehensive integration of the many complex dimensions of water governance.
Assessing Knowledge and Skills after Implementing Helping Babies Breathe among Semi-Skilled Birth Attendants

Deficient resuscitation influences significantly neonatal mortality globally. Effective neonatal resuscitation has a potential to prevent perinatal mortalities related to birth asphyxia. This study aimed at assessing knowledge and skills after implementing a simple Helping Babies Breathe training of neonatal resuscitation to improve practice of semi-skilled birth attendants, and reduce infant mortality at the community. A descriptive non-experimental design was used to elicit information on knowledge and practice of one hundred and ten (110) community health extension workers and hands-on skills checklist was used to measure their neonatal skill abilities. The study findings showed that majority 91.8% of respondents had a good knowledge and skills of neonatal resuscitation immediately after the training. The mean post-test score was 11.6 with Std. D of 2.37 (p<0.05). This showed an overall improvement in knowledge, skill and practice. This percentage dropped to 25.5% at eight (8) weeks after the initial training. There is a significant relationship between their practice scores immediately after the training and eight weeks after (p<0.001). The study found that majority of respondents had improved knowledge with good practices skills but could not retain the knowledge and practice ultimately.
Evaluation of NU-WRF Performance on Air Quality Simulation under Various Model
Resolutions – An Investigation within Framework of MICS-Asia Phase III

Abstract. Horizontal grid resolution has a profound effect on model performances on meteorology and air quality simulations. In contribution to MICS-Asia Phase III, one of whose goals was to identify and reduce model uncertainty in air quality prediction, this study examined the impact of grid resolution on meteorology and air quality over East Asia, focusing on the North China Plain (NCP) region. NASA Unified Weather Research and Forecasting (NU-WRF) model has been applied with the horizontal resolutions at 45-, 15-, and 5-km. The results revealed that, in comparison with ground observations, no single resolution can yield the best model performance for all variables across all stations. From a regional average perspective (i.e., across all monitoring sites), air temperature modeling was not sensitive to the grid resolution but wind and precipitation simulation showed the opposite. NU-WRF with the 5-km grid simulated the best wind speed, while the 45-km grid yielded the most realistic precipitation as compared to the site observations. For air quality simulations, finer resolution generally led to better comparisons with observations for O3, CO, NOx, and PM2.5. However, the improvement of model performance on air quality was not linear with the resolution increase. The accuracy of modeled surface O3 out of the 15-km grid was greatly improved over the one from the 45-km grid. Further increase of grid resolution, however, showed diminished impact on model performance on O3 prediction. In addition, finer resolution grid showed large advantage to better capture the frequency of high pollution occurrences. This was important for assessment of noncompliance of ambient air quality standards, which was key to air quality planning and management. Balancing the findings and resource limitation, a 15-km grid resolution was suggested for future MICS-Asia air quality modeling activity. This investigation also found out large overestimate of ground-level O3 and underestimate of surface NOx and CO, likely due to missing emissions of NOx and CO.
Association of GSTM1, GSTT1 and CYP2E1 Gene Polymorphisms with Antituberculosis Drug Induced Hepatotoxicity in North Indian Population

Background and Aims: Antituberculosis drug-induced hepatotoxicity (anti-TB-DIH) is a growing problem of serious concern in many countries around the world. Drug metabolizing enzymes have been proposed to play an influential role in the pathogenesis of anti-TB-DIH. Therefore, the main aim of this study was to investigate the possible association of GSTM1, GSTT1 and CYP2E1 gene polymorphisms with anti-TB-DIH. Methods: A prospective case-control study was conducted in 244 North Indian TB patients receiving anti-TB treatment. These patients were prospectively followed up both clinically and biochemically, before and during the treatment period, for the diagnosis of anti-TB-DIH. The frequencies of GSTM1, GSTT1 and CYP2E1 gene polymorphisms were determined from genomic DNA, utilizing multiplex polymerase chain reaction and restriction fragment length polymorphism methods respectively. Logistic regression analysis was used to determine the association between gene polymorphisms and anti-TB-DIH. Results: Anti-TB-DIH developed in 35 patients (cases). Out of 209 patients (without anti-TB-DIH), only 100 were taken as controls. As a result of genotype analysis, the frequencies of GSTM1 and GSTT1 null genotypes were found to be higher in cases as compared to controls. However, statistically significant difference was observed only for GSTT1 (Adjusted-OR=2.39; 95%CI=1.06-5.39; P=0.04). Further, combined effects of these two gene polymorphisms on the risk of anti-TB-DIH were analysed. However, the effects were insignificant. Also, no significant difference was reported in the frequencies of three genotypes (C1/C1, C1/C2 and C2/C2) of CYP2E1 between cases and controls. Conclusions: GSTT1 null polymorphism may be a potential risk factor for anti-TB-DIH in North Indian TB patients.
Semiology of the Abdominal Wall : its Value in Planning Abdominoplasty

The main purpose of this paper is to determine the integrity and alterations of the abdominal wall through methodized, systematized semiology) in order to establish a direct, objective relationship with the technical and sU1;gicaltactics for each individual case. It stressesthe importance of assessing the abdominal region in a regula1j standardized manner within a whole-body context, offering the surgeon a clear; logical line of thinking that aims at choosing the best sU1:! Jical conduct to befollowed.
"I am uncomfortable sharing what I can't see": Privacy Concerns of the Visually Impaired with Camera Based Assistive Applications

The emergence of camera-based assistive technologies has empowered people with visual impairments (VIP) to obtain independence in their daily lives. Popular services feature volunteers who answer questions about photos or videos (e.g., to identify a medical prescription). However, people with VIPs can (inadvertently) reveal sensitive information to these volunteers. To better understand the privacy concerns regarding the disclosure of background objects to different types of human assistants (friends, family, and others), we conducted an online survey with 155 visually impaired participants. In general, our participants had varying concerns depending on the type of assistants and the kind of information. We found that our participants were more concerned about the privacy of bystanders than their own when capturing people in images. We also found that participants were concerned about self-presentation and were more comfortable sharing embar-rassing information with family than with their friends. Our ﬁndings suggest directions for future work in the development of human-assisted question-answering systems. Speciﬁcally, we discuss how humanizing these systems can give people a greater sense of personal security.