Miracle-dz/UniFAR-FTUs huggingface dataset:
AN EXAMINATION OF THE STRUCTURE OF THE VOCATIONAL OUTCOME EXPECTATIONS SCALE WIT

In the current study, we investigated the psychometric properties of a meaningful measure of career development among Latina/o students. A confirmatory factor analysis (CFA) was used to evaluate structural validity of the Vocational Outcome Expectations scale. The results supported a modest one-factor structure for the VOE scale. Internal consistency was good as measured by coefficient alpha. Findings provide support for the reliability and validity of the VOE with Latina/o students. A discussion regarding the usefulness of this measure of career development is provided.
High Throughput Screening Identifies Novel Lead Compounds with Activity against Larval, Juvenile and Adult Schistosoma mansoni

An estimated 600 million people are affected by the helminth disease schistosomiasis caused by parasites of the genus Schistosoma. There is currently only one drug recommended for treating schistosomiasis, praziquantel (PZQ), which is effective against adult worms but not against the juvenile stage. In an attempt to identify improved drugs for treating the disease, we have carried out high throughput screening of a number of small molecule libraries with the aim of identifying lead compounds with balanced activity against all life stages of Schistosoma. A total of almost 300,000 compounds were screened using a high throughput assay based on motility of worm larvae and image analysis of assay plates. Hits were screened against juvenile and adult worms to identify broadly active compounds and against a mammalian cell line to assess cytotoxicity. A number of compounds were identified as promising leads for further chemical optimization.
Aberrant Frontal and Temporal Complex Network Structure in Schizophrenia: A Graph Theoretical Analysis

Brain regions are not independent. They are interconnected by white matter tracts, together forming one integrative complex network. The topology of this network is crucial for efficient information integration between brain regions. Here, we demonstrate that schizophrenia involves an aberrant topology of the structural infrastructure of the brain network. Using graph theoretical analysis, complex structural brain networks of 40 schizophrenia patients and 40 human healthy controls were examined. Diffusion tensor imaging was used to reconstruct the white matter connections of the brain network, with the strength of the connections defined as the level of myelination of the tracts as measured through means of magnetization transfer ratio magnetic resonance imaging. Patients displayed a preserved overall small-world network organization, but focusing on specific brain regions and their capacity to communicate with other regions of the brain revealed significantly longer node-specific path lengths (higher L) of frontal and temporal regions, especially of bilateral inferior/superior frontal cortex and temporal pole regions. These findings suggest that schizophrenia impacts global network connectivity of frontal and temporal brain regions. Furthermore, frontal hubs of patients showed a significant reduction of betweenness centrality, suggesting a less central hub role of these regions in the overall network structure. Together, our findings suggest that schizophrenia patients have a less strongly globally integrated structural brain network with a reduced central role for key frontal hubs, resulting in a limited structural capacity to integrate information across brain regions.
Mutual Fund Choices and Investor Demographics

We test the hypothesis that investment in actively managed mutual funds is linked to investor clienteles. We document that individual investors located in less affluent, less educated, and ethnic minority neighborhoods invest more in funds with expensive load fees. They also tend to invest a disproportionate amount in funds with no minimum-balance requirements, and find fewer funds and (fewer no-load funds in particular) to invest in. Our results suggest that less sophisticated neighborhoods may be faced with an inferior investment opportunity set. We find no evidence that investors in these areas tend to trade significantly more or are more likely to redeem their fund holdings each year. ∗Malloy is at London Business School; Zhu is at the Graduate School of Management, UC Davis. We thank seminar participants at London Business School for helpful comments and suggestions. Please send correspondence to: Christopher Malloy, London Business School, Sussex Place, Regent’s Park, London NW1 4SA, UK, phone: 44-207-262-5050 x3278, email: cmalloy@london.edu. Mutual Fund Choices and Investor Demographics
Latitudinal distribution of Trichodesmium spp. and N 2 fixation in the Atlantic Ocean

Abstract. We have determined the latitudinal distribution of Trichodesmium spp. abundance and community N2 fixation in the Atlantic Ocean along a meridional transect from ca. 30° N to 30° S in November–December 2007 and April–May 2008. The observations from both cruises were highly consistent in terms of absolute magnitude and latitudinal distribution, showing a strong association between Trichodesmium abundance and community N2 fixation. The highest Trichodesmium abundances (mean = 220 trichomes L−1,) and community N2 fixation rates (mean = 60 μmol m−2 d−1) occurred in the Equatorial region between 5° S–15° N. In the South Atlantic gyre, Trichodesmium abundance was very low (ca. 1 trichome L−1) but N2 fixation was always measurable, averaging 3 and 10 μmol m2 d−1 in 2007 and 2008, respectively. We suggest that N2 fixation in the South Atlantic was sustained by other, presumably unicellular, diazotrophs. Comparing these distributions with the geographical pattern in atmospheric dust deposition points to iron supply as the main factor determining the large scale latitudinal variability of Trichodesmium spp. abundance and N2 fixation in the Atlantic Ocean. We observed a marked South to North decrease in surface phosphate concentration, which argues against a role for phosphorus availability in controlling the large scale distribution of N2 fixation. Scaling up from all our measurements (42 stations) results in conservative estimates for total N2 fixation of ∼6 TgN yr−1 in the North Atlantic (0–40° N) and ~1.2 TgN yr−1 in the South Atlantic (0–40° S).
High-Frequency Repetitive Transcranial Magnetic Stimulation (rTMS) Improves Functional Recovery by Enhancing Neurogenesis and Activating BDNF/TrkB Signaling in Ischemic Rats

Repetitive transcranial magnetic stimulation (rTMS) has rapidly become an attractive therapeutic approach for stroke. However, the mechanisms underlying this remain elusive. This study aimed to investigate whether high-frequency rTMS improves functional recovery mediated by enhanced neurogenesis and activation of brain-derived neurotrophic factor (BDNF)/tropomyosin-related kinase B (TrkB) pathway and to compare the effect of conventional 20 Hz rTMS and intermittent theta burst stimulation (iTBS) on ischemic rats. Rats after rTMS were sacrificed seven and 14 days after middle cerebral artery occlusion (MCAO), following evaluation of neurological function. Neurogenesis was measured using specific markers: Ki67, Nestin, doublecortin (DCX), NeuN and glial fibrillary acidic protein (GFAP), and the expression levels of BDNF were visualized by Western blotting and RT-PCR analysis. Both high-frequency rTMS methods significantly improved neurological function and reduced infarct volume. Moreover, 20 Hz rTMS and iTBS significantly promoted neurogenesis, shown by an increase of Ki67/DCX, Ki67/Nestin, and Ki67/NeuN-positive cells in the peri-infarct striatum. These beneficial effects were accompanied by elevated protein levels of BDNF and phosphorylated-TrkB. In conclusion, high-frequency rTMS improves functional recovery possibly by enhancing neurogenesis and activating BDNF/TrkB signaling pathway and conventional 20 Hz rTMS is better than iTBS at enhancing neurogenesis in ischemic rats.
Curcumin: Getting Back to the Roots

The use of turmeric, derived from the root of the plant Curcuma longa, for treatment of different inflammatory diseases has been described in Ayurveda and in traditional Chinese medicine for thousands of years. The active component of turmeric responsible for this activity, curcumin, was identified almost two centuries ago. Modern science has revealed that curcumin mediates its effects by modulation of several important molecular targets, including transcription factors (e.g., NF‐κB, AP‐1, Egr‐1, β‐catenin, and PPAR‐γ), enzymes (e.g., COX2, 5‐LOX, iNOS, and hemeoxygenase‐1), cell cycle proteins (e.g., cyclin D1 and p21), cytokines (e.g., TNF, IL‐1, IL‐6, and chemokines), receptors (e.g., EGFR and HER2), and cell surface adhesion molecules. Because it can modulate the expression of these targets, curcumin is now being used to treat cancer, arthritis, diabetes, Crohn's disease, cardiovascular diseases, osteoporosis, Alzheimer's disease, psoriasis, and other pathologies. Interestingly, 6‐gingerol, a natural analog of curcumin derived from the root of ginger (Zingiber officinalis), exhibits a biologic activity profile similar to that of curcumin. The efficacy, pharmacologic safety, and cost effectiveness of curcuminoids prompt us to “get back to our roots”
On the possible causes of recent increases in northern hemispheric total ozone from a statistical analysis of satellite data from 1979 to 2003

Global total ozone measurements from various satellite instruments such as SBUV, TOMS, and GOME show an increase in zonal mean total ozone at northern hemispheric (NH) mid to high latitudes since the mid-nineties. This increase could be expected from the peaking and start of decline in the effective stratospheric halogen loading, but the rather rapid increase observed in NH zonal mean total ozone suggests that another physical mechanism such as winter planetary wave activity has increased which has led to higher stratospheric Arctic temperatures. This has enhanced ozone transport into higher latitudes in recent years as part of the residual circulation and at the same time reduced the frequency of cold Arctic winters with enhanced polar ozone loss. Results from various multi-variate linear regression analyses using SBUV V8 total ozone with explanatory variables such as a linear trend or, alternatively, EESC (equivalent effective stratospheric chlorine) and on the other hand planetary wave driving (eddy heat flux) or, alternatively, polar ozone loss (PSC volume) in addition to proxies for stratospheric aerosol loading, QBO, and solar cycle, all considered to be main drivers for ozone variability, are presented. It is shown that the main contribution to the recent increase in NH total ozone is from the combined effect of rising tropospheric driven planetary wave activity associated with reduced polar ozone loss at high latitudes as well as increasing solar activity. This conclusion can be drawn regardless of the use of linear trend or EESC terms in our statistical model. It is also clear that more years of data will be needed to further improve our estimates of the relative contributions of the individual processes to decadal ozone variability. The question remains if the observed increase in planetary wave driving is part of natural decadal atmospheric variability or will persist. If the latter is the case, it could be interpreted as a possible signature of climate change.
A 6GHz direct digital synthesizer MMIC with nonlinear DAC and wave correction ROM

This paper proposes a new DDS architecture combined with Nonlinear DAC and Wave-Correction-ROM (WCR) which shows both high operating speed and accuracy. Based on this architecture, a 6GHz 8-bit DDS MMIC is designed and fabricated in 60GHz GaAs HBT Technology. The DDS MMIC includes 8-bit pipeline accumulator, an 8×8×3bits WCR, two combined DACs and an analog Gilbert Cell for sine-wave generation with 8-bit amplitude resolution. The DDS chip is tested in on-wafer measurement system. The measured spurious free dynamic range (SFDR) is 33.96dBc with 2.367GHz output under a 6GHz maximum clock (FCW=0×65). It shows an average SFDR of 37.5dBc and the worst case SFDR of 31.4dBc (FCW=0×70) within the whole Nyquist band under a 5GHz clock frequency. The whole chip occupies 2.4×2mm2 of area consuming 3.27W of power from a single −4.6Vpower supply.
Human‐knowledge resources and interorganisational systems

This paper analyses how human‐knowledge resources affect interorganisational systems (IOS) capabilities and subsequently attainment of operational and strategic benefits. A conceptual model is constructed combining the transaction cost economics (TCE) view, resource‐based view (RBV) and insights from IOS literature. The model is tested through a triangulation approach combining two qualitative case studies and a quantitative field study within the logistics sector. This sector is chosen due to its need for high reliance on information technology. The findings indicate that human knowledge positively influences IOS capabilities related to cross‐organisational business processes and transfer of knowledge. Findings also show that strategic benefits are the consequence of knowledge transfer, when the transfer supports business processes resulting in operational benefits. The main theoretical contribution of this paper is that it combines a TCE view and RBV to analyse the effect of relationship‐specificity of human‐based knowledge resources in IOS.
User-Involved Preference Elicitation for Product Search and Recommender Systems

We address user system interaction issues in product search and recommender systems: how to help users select the most preferential item from a large collection of alternatives. As such systems must crucially rely on an accurate and complete model of user preferences, the acquisition of this model becomes the central subject of our paper. Many tools used today do not satisfactorily assist users to establish this model because they do not adequately focus on fundamental decision objectives, help them reveal hidden preferences, revise conflicting preferences, or explicitly reason about tradeoffs. As a result, users fail to find the outcomes that best satisfy their needs and preferences. In this article, we provide some analyses of common areas of design pitfalls and derive a set of design guidelines that assist the user in avoiding these problems in three important areas: user preference elicitation, preference revision, and explanation interfaces. For each area, we describe the state-of-the-art of the developed techniques and discuss concrete scenarios where they have been applied and tested.
Heart rate variability and concussion: Exploring neurophysiological variation in youth athletes

Sport participation makes a significant contribution to youth development, but place youth at an increased risk for sustaining a concussion. Neurocognitive testing and the monitoring of selfreported concussion symptoms have been the anchor in making return-to-activity decisions. While these methods have been purported to add clinical value, their trajectory may not overlap with the physiological mechanisms at play following concussion. Multi-modal assessments corroborate objective physiological measures with traditional subjective symptom reporting. Heart rate variability is a non-invasive physiological indicator of the autonomic nervous system, capturing the reciprocal interplay between the sympathetic and parasympathetic nervous systems. The first study examines the relationship between heart rate variability and subjective symptom reporting in a healthy population of youth; a significant relationship between daily reported cognitive symptoms and a decrease in HRV was found, while considering age and sex. The second study is a longitudinal, matched control study that explores the physiological trajectory of heart rate variability across days post concussion; the relationship between concussion symptoms and HRV was found to vary across days post injury, when considering symptom status and a comparison to controls. The third and final study is a pilot and feasibility study that aims to bridge physiological and functional outcomes by exploring the role of
Adoption of ride-sharing apps by Chinese taxi drivers and its implication for the equality and wellbeing in the sharing economy

The adoption of ride-sharing apps is critical to the survival of taxi drivers in the mobile-driven sharing economy. Based on survey data collected from 1195 licensed taxi drivers in Beijing, the authors present an integrated technology adoption model that combines technology and use factors (perceived usefulness and ease of use), social factors (word-of-mouth, peer adoption and subjective norms), system factors (socioeconomic and digital inequality), and audience factors (demographic characteristics and innovative personality traits). The results showed that adoption was innate, inherited, and socially driven. Adoption was positively associated with income, access to technologies, innovative personality trait, peer adoption, word-of-mouth, and perceived usefulness of the apps. The implications of the findings for inequality in the sharing economy are discussed.
‘Plue plun’ male, ‘kath klei’ female: gender differences in suicidal behavior as expressed by young people in Cambodia

Few studies from low- and middle-income countries use qualitative methodology to explore suicidal behavior among young people. In Cambodia, young people face the challenge of rapidly changing times and are vulnerable for suicidal behavior as revealed by research in transitional economies. This study seeks to gain a deeper understanding of the suicidal phenomena from a gender, psychosocial and cultural perspective. Six focus-group discussions were conducted among boys and girls, aged 15–19 years, in two secondary schools in a suburban area close to Phnom Penh, the capital city. The data was analyzed using thematic analysis approach. The participants highlighted the gender difference in suicidal behavior by describing the suicide-prone, acting-out male as ‘plue plun’, while suicide-prone females were described as caught in constricted, tunneled-thinking behavior, expressed as ‘kath klei’. Parental attitude and family environment were also pointed out as the chief causes of discontent and there was a strong wish on the part of young people to find space for modern values within the traditional family. The young people's awareness of their challenges in everyday life suggests that school-based programs to prevent suicidal behavior ought to be gender-sensitive and peer-focused.
Emotional Geographies of an EFL Teacher in Asmat, Papua; Male Perspective

Teaching is not only about knowledge, cognition, and skill but also emotional relationships among the students, colleagues, and parents. Particularly for teaching English in rural areas in Indonesia, there are several challenges that should be handled: geographical feature of these area, their culture and the way of life, the quality of both students and teachers, and so on. This research paper investigates teacher emotions experienced by a male EFL teacher in one of rural areas while dealing with those challenges. Teacher emotions are one of significant aspect that could not be left behind in teaching and learning activity. This research will explore comprehensively the distance and closeness felt by the teacher while teaching English there. This qualitative research was conducted using a narrative case study approach. The data were collected from the participant’s journal and interview. Referring to Hargreaves framework, the findings reveal 5 emotional geographies of the participant. This research contributes to Indonesian government as the one that concerns in 3T areas, EFL teachers who have to handle complex situations while teaching, and other researchers who are interested in conducting emotional geographic research.
NOMINAL WAGE RIGIDITY IN THE UNITED KINGDOM

This paper studies the degree of downward rigidity in nominal wages in the United Kingdom using micro-data. Around 9% of employees who remain in the same job from one year to the next have zero pay growth. But on investigating the causes of rigidity we find that up to nine-tenths can be attributed to "symmetric" causes (such as contracts and menu costs) or to error. Thus only 1% of workers have pay that may be downwardly rigid. This suggests asymmetric, downward rigidity is not large enough to have serious macroeconomic consequences. The labour market provides almost no evidence to support a positive inflation target.
Analyzing the Intelligences Profiles of Law Students: Did the Students Select the Right Specialization?

This research studies the multiple intelligences profiles among Law students at Dhofar University (DU) and investigates the differences in students’ multiple intelligences according to gender. The study identifies the dominant intelligences of Law students and matches them with their specialization. This research was conducted in the fall of the 2017-2018. A scale of Multiple Intelligences developed by the researchers was applied on (53) students. Mean, standard deviation and MANOVA test were used for statistical analysis. The study reveals that the intrapersonal intelligence has the highest score and always ranks the first. The study also found that the law students have selected the right specialization.
ADP_EM: fast exhaustive multi-resolution docking for high-throughput coverage

MOTIVATION Efficient fitting tools are needed to take advantage of a fast growth of atomic models of protein domains from crystallography or comparative modeling, and low-resolution density maps of larger molecular assemblies. Here, we report a novel fitting algorithm for the exhaustive and fast overlay of partial high-resolution models into a low-resolution density map. The method incorporates a fast rotational search based on spherical harmonics (SH) combined with a simple translational scanning. RESULTS This novel combination makes it possible to accurately dock atomic structures into low-resolution electron-density maps in times ranging from seconds to a few minutes. The high-efficiency achieved with simulated and experimental test cases preserves the exhaustiveness needed in these heterogeneous-resolution merging tools. The results demonstrate its efficiency, robustness and high-throughput coverage. AVAILABILITY http://sbg.cib. csic.es/Software/ADP_EM. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Dynamic trajectory generation using continuous-curvature algorithms for door to door assistance vehicles

In this paper, an algorithm for dynamic path generation in urban environments is presented, taking into account structural and sudden changes in straight and bend segments (e.g. roundabouts and intersections). The results present some improvements in path generation (previously hand plotted) considering parametric equations and continuous-curvature algorithms, which guarantees a comfortable lateral acceleration. This work is focused on smooth and safe path generation using road and obstacle detection information. Finally, some simulation results show a good performance of the algorithm using different ranges of urban curves. The main contribution is an Intelligent Trajectory Generator, which considers infrastructure and vehicle information. This method is recently used in the framework of the project CityMobil21, for urban autonomous guidance of Cybercars.