Miracle-dz/UniFAR-FTUs huggingface dataset:
The Measurement of Social Physique Anxiety

A 12-item self-report scale was developed to assess the degree to which people become anxious when others observe or evaluate their physiques. The Social Physique Anxiety Scale (SPAS) demonstrated both high internal and test-retest reliability. It also correlated appropriately with concerns regarding others' evaluations and with feelings about one's body. Validity data showed that women who scored high on the SPAS were heavier and had a higher percentage of body fat than those who scored lower. In addition, high scorers reported significantly greater anxiety during a real evaluation of their physiques, further supporting the validity of the scale. Possible uses of the SPAS in basic research involving physique anxiety and in applied fitness settings are discussed.
Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement

The behavior of deep neural networks (DNNs) is hard to understand. This makes it necessary to explore post hoc explanation methods. We conduct the first comprehensive evaluation of explanation methods for NLP. To this end, we design two novel evaluation paradigms that cover two important classes of NLP problems: small context and large context problems. Both paradigms require no manual annotation and are therefore broadly applicable. We also introduce LIMSSE, an explanation method inspired by LIME that is designed for NLP. We show empirically that LIMSSE, LRP and DeepLIFT are the most effective explanation methods and recommend them for explaining DNNs in NLP.
Effects of olive storage and packaging on microbial and fatty acids profiles of olive oil produced in traditional mills in Morocco

The aim of this work was to evaluate the effects of storage time of olive fruits and packaging type on the microbial and chemical quality of virgin olive oil produced in traditional mills in Morocco. 72 samples of olive oil of Moroccan Picholine variety were recovered in PET and dark glass bottles and analyzed after 3 and 6 months of storage. Results indicated that mesophilic and psychrotrophic bacteria, yeasts and moulds showed similar profiles in both containers, while, indices of quality and saturated fatty acids (SFA) increased, and unsaturated fatty acids (UFA) decreased. Significant changes were shown in palmitic, stearic, and oleic acids. Furthermore, accelerated degradations of oils were observed in plastic container. Statistical analysis showed a strong negative correlation between UFA and SFA, free fatty acids contents (FFAs), K232 and K270. Discriminate analysis showed that storing olive fruits plays important role in the classification of olive oil. In fact, long storage linked to the presence of microorganisms was responsible for significant changes produced in fatty acids profile and olive oil quality. Received 05Apr 2017, Revised 11Jun 2017, Accepted 18 Jun 2017
ONLINE SIGNATURE RECOGNITION USING NEURAL NETWORK

Here it discusses about some of the features of signature data and their extraction from the raw data set collected from ATVS signature database. The features include time duration, sign changes of dx/dt and dy/dt, average jerk, number of pen-up pen-down etc. Signature features are pre-processed and brought to a value having same decimal point and trained using back propagation neural network. For signature data of 10 users and accuracy rate of 86% is obtained.
Solid Wood Properties Assessed by Non-Destructive Measurements of Standing European Larch (Larix decidua Mill.): Environmental Effects on Variation within and among Trees and Forest Stands

To avoid unintentional loss of wood quality when selecting for higher productivity in tree breeding programs, non-destructive methods for fast and reliable assessment of wood quality on standing trees are required. In this study, we tested and applied Pilodyn penetration (PP) and measures of stress wave velocity (SWV) in trees within a European larch (Larix decidua Mill.) breeding program. Through testing PP in 4267 trees on 21 afforestation sites across a broad climatic spectrum, we analysed the effects of climate, tree age, and site conditions on PP. Moreover, detailed measures within two selected stands allowed us to estimate measurement variation within and among trees in relation to the measurement angle and individual tree characteristics. We found significant variation of PP and SWV among forests stands, single trees, and even within trees, if measured on opposite sides in mountainous terrain. Both measurements exhibited a high degree of genetic determination, i.e., repeatability was 0.32–0.61 for PP and 0.56 for SWV, respectively. The obtained estimates for wood stiffness were comparable to measures on harvested wood samples of European or hybrid larch. Our results demonstrate that the integration of wood quality parameters into larch breeding programs is highly recommended, and reliable tools are available. Results are discussed in relation to environmental and measurement variation and methods to optimize field measurements are suggested.
Eye Images Increase Charitable Donations: Evidence From an Opportunistic Field Experiment in a Supermarket

A number of studies have shown that the presence of simple images of eyes in the environment increases prosocial behaviour in humans. However, questions remain about the robustness of the effect, its explanation and the factors promoting it. In particular, it is not yet clear whether this effect is restricted to contexts where there is a normative requirement to behave prosocially and thus where punishment is a likely consequence of failing to do so. In an 11-wk field experiment in a supermarket, we displayed either eye images or control images on charity collection buckets. There was no normative requirement to donate in this setting, and most people did not do so. However, the presence of eye images increased donations by 48% relative to control images. The effect of eye images was significantly stronger at times when the supermarket was quiet rather than busy. Results are consistent with models of the evolution of prosociality through reputation-based partner choice and have potential practical benefits for those involved in charitable fundraising.
Nutritional Status and Associated Factors Among Adult HIV/AIDS Clients in Felege Hiwot Referral Hospital, Bahir Dar, Ethiopia

Background: HIV/AIDS and malnutrition effects are interrelated and exacerbate one another in a vicious cycle. HIV specifically affects nutritional status by increasing energy requirements, reducing food intake, and adversely affecting nutrient absorption and metabolism. In Ethiopia since its detection, has claimed lives of millions. Even in the era of ART, it could not be tackled since the dispute of malnutrition is unanswered. Therefore the study aimed to assess nutritional status and associated risk factors among adult HIV/AIDS clients in Bahir Dar, Ethiopia. Method: was facility based cross sectional survey in Felege Hiwot referral Hospital. On average 50-60 Pre-ART and/or on ART care clients were visiting the Hospital daily. Taking the first patient as case one, every 4th of daily attendances were interviewed using interviewer administered questionnaire and anthropometric measurements. SPSS version 16 statistical software was used to enter and analyze the data. Binary logistic regression was used to assess effect of factors on HIV/AIDS clients’ nutritional status. P value ≤0.05 was considered statistical significant. Results: 408 HIV/AIDS clients were interviewed, of them 104 (25.5%) were chronic energy deficient (BMI<18.5kg/m2); 36.5% from pre-ART, 63.5% from on ART care. Proportion of mildly, moderately, and severely malnourished participants were 64.4%, 19.2%, and 16.4% respectively. Females were most affected (56.7%). HIV/AIDS related symptoms 2weeks prior to the survey (AOR=1.93, 95% CL: 1.18-10.0); eating difficulty (AOR=1.80, 95% CL: 1.10-2.04); Pre ART clients (AOR=1.77, 95% CL: 1.08-2.90); and on ARV drugs < 12months (AOR=1.7, 95% CL: 1.04-3.78) were the predictors associated to malnutrition. Conclusions: Chronic energy deficiency was prevalent in PLWHA. HIV related symptoms, feeding difficulties and duration on ART were the predictors for malnutrition. Only increasing access to ART can’t solve problem of malnutrition, therefore nutrition therapy and support as an adjunct to the initiation of ART should be considered.
Algorithm for Fast and Efficient Detection and Reaction to Angle Instability Conditions Using Phasor Measurement Unit Data

In wide area monitoring, protection, and control (WAMPAC) systems, angle stability of transmission network is monitored using data from phasor measurement units (PMU) placed on transmission lines. Based on this PMU data stream advanced algorithm for out-of-step condition detection and early warning issuing is developed. The algorithm based on theoretical background described in this paper is backed up by the data and results from corresponding simulations done in Matlab environment. Presented results aim to provide the insights of the potential benefits, such as fast and efficient detection and reaction to angle instability, this algorithm can have on the improvement of the power system protection. Accordingly, suggestion is given how the developed algorithm can be implemented in protection segments of the WAMPAC systems in the transmission system operator control centers.
Traumatizing Aspects of Providing Counselling in Community Agencies to Survivors of Sexual Violence: A Concept Map

Concept mapping (a combined qualitative/quantitative approach) was used to clarify and understand 72 Canadian professionals’ experience of what they found to be traumatizing about their work with sexual violence survivors in community settings. A sample of 30 professionals providing community-based treatment to survivors of sexual violence sorted and rated 96 individual statements (generated by 72 professionals) regarding the traumatizing aspects of this clinical work to produce a visual representation, or concept map, of their experience. The final concept map generated eight distinct cluster themes: Witnessing and Responding to Therapeutic Content, Witnessing and Responding to Therapeutic Process, Challenging Countertransference Reactions, System Flaws and Inadequacies, Societal Injustice, Awareness of Human Cruelty, Feeling Helpless and Powerless, and Workplace Constraints and Deficiencies. The implications of these findings and suggestions for further areas of investigation are discussed.
Automatic Arabic Image Captioning using RNN-LSTM-Based Language Model and CNN

The automatic generation of correct syntaxial and semantical image captions is an essential problem in Artificial Intelligence. The existence of large image caption copra such as Flickr and MS COCO have contributed to the advance of image captioning in English. However, it is still behind for Arabic given the scarcity of image caption corpus for the Arabic language. In this work, an Arabic version that is a part of the Flickr and MS COCO caption dataset is built. Moreover, a generative merge model for Arabic image captioning based on a deep RNN-LSTM and CNN model is developed. The results of the experiments are promising and suggest that the merge model can achieve excellent results for Arabic image captioning if a larger corpus is used.
Using FDG-PET Acquired During the Course of Radiation Therapy to Individualize Adaptive Radiation Dose Escalation in Patients with Non-Small Cell Lung Cancer

Co-Investigators: James Hayman, M.D. 1* Gregory Kalemkerian, M.D. 1 # Avraham Eisbruch, M.D. 1* Theodore S. Lawrence, Ph.D., M.D. 1* Charlie Pan, M.D. 1* Randall K.Ten Haken, Ph.D. 1* Kirk Frey, M.D., Ph.D. ^ Douglas Arenberg, M.D. 1  Jean Moran, Ph.D. 1*, 2* Kemp Cease, M.D. 2# Mark Orringer, M.D. 1+ Jeffrey Curtis, M.D. 2 Milton Gross, M.D. 2^ David Lubman, Ph.D. 1*, 2* Nithya Ramnath, M.D. 1#
High-threshold fault-tolerant quantum computation with analog quantum error correction

To implement fault-tolerant quantum computation with continuous variables, the Gottesman-Kitaev-Preskill (GKP) qubit has been recognized as an important technological element. However,it is still challenging to experimentally generate the GKP qubit with the required squeezing level, 14.8 dB, of the existing fault-tolerant quantum computation. To reduce this requirement, we propose a high-threshold fault-tolerant quantum computation with GKP qubits using topologically protected measurement-based quantum computation with the surface code. By harnessing analog information contained in the GKP qubits, we apply analog quantum error correction to the surface code.Furthermore, we develop a method to prevent the squeezing level from decreasing during the construction of the large scale cluster states for the topologically protected measurement based quantum computation. We numerically show that the required squeezing level can be relaxed to less than 10 dB, which is within the reach of the current experimental technology. Hence, this work can considerably alleviate this experimental requirement and take a step closer to the realization of large scale quantum computation.
The role of the pharmacist in patient-centered medical home practices: current perspectives

Patient-centered medical homes (PCMHs) are the centerpiece of primary care transformation in the US. They are intended to improve care coordination and communication, enhance health care quality and patient experiences, and lower health care costs by linking patients to a physician-led interdisciplinary health care team. PCMHs are widely supported by health care associations, payers, and employers. Health care accreditation organizations have created performance measures that promote the adoption of PCMH core attributes. Public and private payers are increasingly providing incentives and bonuses related to performance measure status. Evidence-based prescription, medication adherence, medication use coordination, and systems to support medication safety are all necessary components of PCMHs. Pharmacists have unique knowledge and skills that can complement the care provided by other PCMH team members. Their experience in drug therapy assessments, medication therapy management, and population health has documented benefits, both in terms of patient health outcomes and health care costs. Through collaborative care, pharmacists can assist physicians and other prescribers in medication management and thus improve prescriber productivity and patient access to care. Pharmacists are engaged in PCMHs through both employment and contractual arrangements. While some pharmacists serve a unique PCMH, others work within practice networks that serve practices within a geographical area. Financial support for pharmacist-provided services includes university funding, external grant funding, payer reimbursement, and allocation of PCMH incentives and bonus funds. There is growing support for pharmacist integration into PCMHs; however, more convincing cost-effectiveness data, as well as performance measures requiring the unique skills of pharmacists, may be needed before pharmacist-provided PCMH services become more widely adopted. Given the continued evolution of the PCMH model of care, ongoing opportunities exist for pharmacists to create an optimal care model that is suitable for PCMHs and rewarding for their profession.
Higgs mechanism in higher-rank symmetric U(1) gauge theories

We use the Higgs mechanism to investigate connections between higher-rank symmetric $U(1)$ gauge theories and gapped fracton phases. We define two classes of rank-2 symmetric $U(1)$ gauge theories: the $(m,n)$ scalar and vector charge theories, for integer $m$ and $n$, which respect the symmetry of the square (cubic) lattice in two (three) spatial dimensions. We further provide local lattice rotor models whose low energy dynamics are described by these theories. We then describe in detail the Higgs phases obtained when the $U(1)$ gauge symmetry is spontaneously broken to a discrete subgroup. A subset of the scalar charge theories indeed have X-cube fracton order as their Higgs phase, although we find that this can only occur if the continuum higher rank gauge theory breaks continuous spatial rotational symmetry. However, not all higher rank gauge theories have fractonic Higgs phases; other Higgs phases possess conventional topological order. Nevertheless, they yield interesting novel exactly solvable models of conventional topological order, somewhat reminiscent of the color code models in both two and three spatial dimensions. We also investigate phase transitions in these models and find a possible direct phase transition between four copies of $\mathbb{Z}_2$ gauge theory in three spatial dimensions and X-cube fracton order.
Evaluating the Collaborative Ecosystem for an Innovation-Driven Economy: A Systems Analysis and Case Study of Science Parks

National policies for science parks and innovation have been identified as one of the major driving forces for the innovation-driven economy, especially for publicly funded science parks. To investigate this collaborative ecosystem (government-academia-industry) for growth and sustainable development, this paper proposes a nation-wide economic impact analysis of science parks and innovation policy based on historical data drawn from one of the globally recognized high-technology industrial clusters in Taiwan. Systems thinking with causal loop analysis are adopted to improve our understanding of the collaborative ecosystem with science park policies. First, from a holistic viewpoint, the role of government in a science parks and innovation ecosystem is reviewed. A systems analysis of an innovation-driven economy with a science park policy is presented as a strategy map for policy implementers. Second, the added economic value and employment of the benchmarked science parks is evaluated from a long range perspective. Third, the concepts of government-academia-industry collaboration and policies to innovation ecosystem are introduced while addressing the measures and performance of innovation and applied R&D in the science parks. We conclude with a discussion of lessons learned and the policy implications of science park development and an innovation ecosystem.
Age-Related Changes in Visual Spatial Working Memory Cognits: Frontal-Parietal EEG Coherence During Delay

This study explored changes in scalp electrophysiol ogy across two Working Memory (WM) tasks and two age groups. Continuous electroen cephalography (EEG) was recorded from 18 healthy adults (18-34 years) and 1 2 healthy adolescents (14-17) during the performance of two Oculomotor Delayed Response (ODR) WM tasks; (i.e. eye movements were the metric of motor response). Delay -period, EEG data in the alpha frequency was sampled from anterior and parietal sc alp sites to achieve a general measure of frontal and parietal activity, respectiv ely. Frontal-parietal, alpha coherence was calculated for each participant for each ODR-WM task. Coherence significantly decreased in adults moving across the two ODR tasks , whereas, coherence significantly increased in adolescents moving across the two ODR tasks. The effects of task in the adolescent and adult groups were large and medium, respectively. Within the limits of this study, the results provide empirical support t ha WM development during adolescence include complex, qualitative, change.
Capillary Surface Energy Elucidation of the Cosmic Dark Energy—Ordinary Energy Duality

This short letter reports on an unsuspected and quite surprising connection between capillary forces and dark energy. We start with a very brief introduction of the role played by relativistic hydrodynamics in cosmic dark energy research, and then proceed from there to outline the proposed analogy between dark energy and non-relativistic effects of capillary surface energy.
Maximum likelihood estimators based on the block maxima method

The extreme value index is a fundamental parameter in univariate Extreme Value Theory (EVT). It captures the tail behavior of a distribution and is central in the extrapolation beyond observed data. Among other semi-parametric methods (such as the popular Hill's estimator), the Block Maxima (BM) and Peaks-Over-Threshold (POT) methods are widely used for assessing the extreme value index and related normalizing constants. We provide asymptotic theory for the maximum likelihood estimators (MLE) based on the BM method. Our main result is the asymptotic normality of the MLE with a non-trivial bias depending on the extreme value index and on the so-called second order parameter. Our approach combines asymptotic expansions of the likelihood process and of the empirical quantile process of block maxima. The results permit to complete the comparison of most common semi-parametric estimators in EVT (MLE and probability weighted moment estimators based on the POT or BM methods) through their asymptotic variances, biases and optimal mean square errors.
Hallucinations and other psychotic symptoms in response to methylphenidate in children and adolescents with attention-deficit/hyperactivity disorder: a Cochrane systematic review with meta-analysis and trial sequential analysis#

Abstract Background: There is little evidence in the literature on the association between methylphenidate treatment and psychotic symptoms in children and adolescents with attention-deficit/hyperactivity disorder (ADHD). Objective: We examine the occurrence of psychotic symptoms during methylphenidate treatment of children and adolescents with ADHD. The data arise from our two Cochrane systematic reviews on methylphenidate, reported elsewhere. Methods: Electronic databases were searched up to January 2016 (for observational studies) and March 2017 (for randomized trials). We summarized data as risk ratios and pooled prevalences. Trial Sequential Analysis was used to control for random errors. We assessed the risk of bias and the quality of evidence according to Cochrane guidelines. Results: Ten randomized trials (1103 participants), 17 non-randomized studies (76,237 participants) and 12 patient reports or series (18 patients) were identified. In the randomized trials, there was no significant difference in the risk of developing psychotic symptoms [10 of 654 (pooled prevalence, 2.5%) methylphenidate versus 1 of 508 (pooled prevalence, 1.7%) placebo patients; risk ratio, 2.07; 95% confidence interval, 0.58 to 7.35]. Nine of 10 trials had a high risk of bias, and according to the Trial Sequential Analysis, the required information size was not achieved, that is, the meta-analysis was considerably underpowered. There were 873 instances of psychotic symptoms in the non-randomized studies among 55,603 participants (pooled prevalence, 1.2%; 95% confidence interval, 0.7 to 2.4). In the comparative cohort study, methylphenidate significantly increased the risk for any psychotic disorder by 36% (risk ratio, 1.36; 95% confidence interval, 1.17 to 1.57). The overall risk of bias was rated as critical for this study. Conclusions: Because of sparse data and low quality of evidence, we cannot confirm or refute whether methylphenidate increases the risk of psychotic symptoms in children and adolescents with ADHD. This possible adverse event may affect 1.1% to 2.5%, and physicians, patients and caregivers should be aware of this to ensure proper treatment in case of occurrence during methylphenidate treatment.
TxFS

We introduce TxFS, a transactional file system that builds upon a file system’s atomic-update mechanism such as journaling. Though prior work has explored a number of transactional file systems, TxFS has a unique set of properties: a simple API, portability across different hardware, high performance, low complexity (by building on the file-system journal), and full ACID transactions. We port SQLite, OpenLDAP, and Git to use TxFS and experimentally show that TxFS provides strong crash consistency while providing equal or better performance.