Miracle-dz/UniFAR-FTUs huggingface dataset:
Facial expressions as predictors of long-term outcomes following a traumatic event : Comparing automated and manual coding systems

Facial expressions as predictors of long-term outcomes following a traumatic event: Comparing automated and manual coding systems. Charlotte Cooper Pfeffer Human faces provide a rich source of behavioral data. Following acute, potentially traumatic events, manual and automated coding systems of facial behavior may help identify individuals at risk for developing psychopathology. In the present study, OpenFace, an automated system, and FACS, a manual method, were compared as predictors of long-term functioning using facial behavioral data from clinical interviews collected one-month after a potentially traumatic event that brought participants into the emergency department of a Level-1 Trauma Center in New York City. We evaluated similarities and differences in facial emotions identified by FACS and OpenFace to determine their predictive accuracy in capturing Depression and PTSD 6-months and 12-months later. The findings suggest OpenFace is a more sensitive and precise measure of facial behavior than FACS.
Evidence from Social Hedge Funds Can Green Investments Increase Your Green? Evidence from Social Hedge Fund Activists

We study the effect of hedge fund activism on the corporate social responsibility of their targets. Classifying hedge funds into socially and non-socially responsible funds based on their goals and objectives beyond profit maximization, we find asymmetric effect of activist hedge fund campaigns. Socially responsible hedge-fund campaigns are associated with a large increase in the targets’ corporate social performance, compared with non-socially responsible hedge funds’ targets, and remains on par with the matched control firms. Our empirical results also suggest the market does not believe the hedge-fund activists can create shareholder value by focusing on SRI. However, we find evidence that social hedge fund activists are able to promote SRI and benefit other stakeholders of the target firms, while promoting shareholders’ interests. Finally, our paper also provides empirical evidence against greenwashing behavior among the hedge funds. Evidence from Social Hedge Funds Investing in a company that doesn’t disclose its pollution is like investing in a company that doesn’t disclose its balance sheet.If governments won’t force disclosure, then investors can force it themselves. (Chris Hohn, manager of TCI fund)
Advance Publication by J-STAGE Mechanical Engineering Journal

This paper presents a numerical method for analyzing elastic wave scattering by multi-layered periodic structures in two dimensions. The proposed method is based on the boundary element method (BEM) and scattering matrix representing a relationship between incoming and outgoing waves in the vicinity of a periodic structure. First, we deﬁne the scattering matrix using a plane-wave expansion of the solution of the elastic problem. Then, we show the integral formulae that convert the solution of a system of boundary integral equations into elements of the scattering matrix. The proposed scattering matrix method with the BEM enables us to reduce the scattering problem in a multi-layered structure to a purely algebraic one in terms of the scattering matrix of each layer, resulting into less requirement in computational resources than in the methods which are based on the meshing of an entire boundary and solution of the corresponding boundary integral equations. Such a procedure called layer-doubling method is implemented in a numerically stable manner based on the eigendecomposition of a relevant matrix. Moreover, some scattering properties and phononic band structures of semi-inﬁnite phononic crystals are yielded through an asymptotic analysis on the scattering matrix. Some numerical examples are presented to demonstrate that the proposed method can solve accurately scattering problems and also can calculate some related eigenmodes including the Bloch modes and guided waves within stacked structures. elastodynamic problem and then showed the BEM used for the construction of the scattering matrix. Using the scattering matrix, we formulated two kinds concerning layer-doubling methods: recursive applications of a matrix-inversion formula and eigendecomposition of a transfer matrix. Some numerical experiments demonstrated that both methods can give accurate solutions for multi-layered scattering problems. Moreover, we have shown that the eigendecomposition-based strategy is
A Deep Learning-Based Computational Algorithm for Identifying Damage Load Condition: An Artificial Intelligence Inverse Problem Solution for Failure Analysis

In this work, we have developed a novel machine (deep) learning computational framework to determine and identify damage loading parameters (conditions) for structures and materials based on the permanent or residual plastic deformation distribution or damage state of the structure. We have shown that the developed machine learning algorithm can accurately and (practically) uniquely identify both prior static as well as impact loading conditions in an inverse manner, based on the residual plastic strain and plastic deformation as forensic signatures. The paper presents the detailed machine learning algorithm, data acquisition and learning processes, and validation/verification examples. This development may have significant impact on forensic material analysis and structure failure analysis, and it provides a powerful tool for material and structure forensic diagnosis, determination, and identification of damage loading conditions in accidental failure events, such as car crashes and infrastructure or building structure collapses.
Culturally adaptive storytelling method to improve hypertension control in Vietnam-" We talk about our hypertension " : study protocol for a feasibility cluster-randomized controlled trial

Background: Vietnam is experiencing an epidemiologic transition with an increased prevalence of non-communicable diseases. At present, the major risk factors for cardiovascular disease (CVD) are either on the rise or at alarming levels in Vietnam; inasmuch, the burden of CVD will continue to increase in this country unless effective prevention and control measures are put in place. A national survey in 2008 found that the prevalence of hypertension (HTN) was approximately 25 % among Vietnamese adults and it increased with advancing age. Therefore, novel, large-scale, and sustainable interventions for public health education to promote engagement in the process of detecting and treating HTN in Vietnam are urgently needed. Methods: A feasibility randomized trial will be conducted in Hung Yen province, Vietnam to evaluate the feasibility and acceptability of a novel community-based intervention using the “storytelling” method to enhance the control of HTN in adults residing in four rural communities. The intervention will center on stories about living with HTN, with patients speaking in their own words. The stories will be obtained from particularly eloquent patients, or “video stars,” identified during Story Development Groups. The study will involve two phases: (i) developing a HTN intervention using the storytelling method, which is designed to empower patients to facilitate changes in their lifestyle practices, and (ii) conducting a feasibility cluster-randomized trial to investigate the feasibility, acceptability, and potential efficacy of the intervention compared with usual care in HTN control among rural residents. The trial will be conducted at four communes, and within each commune, 25 individuals 50 years or older with HTN will be enrolled in the trial resulting in a total sample size of 100 patients. (Continued on next page) * Correspondence: hoanguyen@phad.org Equal contributors Institute of Population, Health and Development, 18 Alley 132, Hoa Bang Street, Cau Giay District, Hanoi, Vietnam Department of Epidemiology, Baylor Scott &White Health, 8080 N Central Expy, Dallas, TX 75206, USA Full list of author information is available at the end of the article © 2016 Allison et al. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Allison et al. Trials (2016) 17:26 DOI 10.1186/s13063-015-1147-6
COMPRESSED SENSING FOR FAST ELECTROMAGNETIC SCATTERING ANALYSIS OF COMPLEX LINEAR STRUCTURES

When method of moments (MOM) is applied to calculate electromagnetic scattering problems of the linear structures, traditional basis functions such as RWG functions are unable to satisfy the requirements of numerical discretization, so linear basis functions are constructed to discrete line structures. To avoid direct calculation of dense impedance matrix equation, compressed sensing (CS) in conjugation with appropriate transformation is introduced. Firstly, the impedance matrix equation is operated to obtain an alternative equation in transform domain. Secondly, CS is used to form an underdetermined equation to be solved, under the theoretical framework of CS, and the underdetermined equation can be solved by reconstruct algorithm but not iterative approach. Finally, numerical simulations of single wound axial mode helical antenna and four element linear antennas array are discussed to demonstrate the efficiency and accuracy of the proposed method.
A Bayesian approach to reconstructing genetic regulatory networks with hidden factors Matthew

Motivation: We have used state-space models (SSMs) to reverse engineer transcriptional networks from highly replicated gene expression profiling time series data obtained from a well-established model of T cell activation. SSMs are a class of dynamic Bayesian networks in which the observed measurements depend on some hidden state variables that evolve according to Markovian dynamics. These hidden variables can capture effects that cannot be directly measured in a gene expression profiling experiment, for example: genes that have not been included in the microarray, levels of regulatory proteins, the effects of mRNA and protein degradation, etc. Results: We have approached the problem of inferring the model structure of these state-space models using both classical and Bayesian methods. In our previous work, a bootstrap procedure was used to derive classical confidence intervals for parameters representing ‘gene–gene’ interactions over time. In this article, variational approximations are used to perform the analogous model selection task in the Bayesian context. Certain interactions are present in both the classical and the Bayesian analyses of these regulatory networks. The resulting models place JunB and JunD at the centre of the mechanisms that control apoptosis and proliferation. These mechanisms are key for clonal expansion and for controlling the long term behavior (e.g. programmed cell death)
International GPS Service for Geodynamics

This 1995 annual report of the IGS International GPS (Global Positioning System) Service for Geodynamics - describes the second operational year of the service. It provides the many IGS contributing agencies and the rapidly growing user community with essential information on current organizational and technical matters promoting the IGS standards and products (including organizational framework, data processing strategies, and statistics showing the remarkable expansion of the GPS monitoring network, the improvement of IGS performance, and product quality). It also introduces important practical concepts for network densification by integration of regional stations and the combination of station coordinate solutions. There are groups of articles describing general aspects of the IGS, the Associate Analysis Centers (AACs), Data Centers, and IGS stations.
Influences of Geological Conditions on the Soil Environment in Paddy Fields under Saturated Irrigation

: In an attempt to counter heat damage to rice plants, the influences of geological conditions in paddy fields on the subsurface water flow and soil temperature for saturated irrigation are clarified by simulating the soil water movement and heat transport. Considering paddy fields located in a lowland or an alluvial fan as the geological conditions of the target area, the simulations of the water movement and heat transport in soil are carried out over 20 days, corresponding to the ripening period of rice grain. The results indicated that the time-varying soil temperatures and the average soil temperature of the lowland paddy field were lower than those of the alluvial fan, and thus the effect of saturated irrigation depends on the geological conditions of paddy fields under its implementation.
Effects of modified constraint-induced movement therapy with trunk restraint in early stroke patients: A single-blinded, randomized, controlled, pilot trial.

BACKGROUND Reducing compensatory strategies during repetitive upper-limb training may be helpful in relearning motor skills. OBJECTIVE To explore the effects of modified constraint-induced movement therapy (mCIMT), additionally modified by adding trunk restraint (TR), on upper-limb function and activities of daily living (ADLs) in early post-stroke patients. METHODS Twenty-four participants with early stroke were randomly assigned to mCIMT combined with TR (mCIMT + TR) or mCIMT alone. Each group underwent twenty sessions (1 h/d, 5 d/wk for 4 weeks). Patients were assessed with the action research arm test (ARAT), the Fugl-Meyer Assessment-Upper extremity (FMA-UE), the Modified Barthel index (MBI), the Maximal elbow extension angle during reaching (MEEAR), and Motor Activity Logs (MAL-AOU and MAL-QOM). RESULTS The mCIMT + TR group exhibited greater improvement in the ARAT, FMA-UE, MBI, MEEAR, and MAL-AOU, and MAL-QOM than the mCIMT group. Statistical analyses showed significant differences in ARAT (P = 0.003), FMA-UE (P = 0.042), MBI (P = 0.001), MEEAR (P = 0.002), and MAL-AOU (P = 0.005) between the groups. CONCLUSION Modified CIMT combined with TR may be more effective than mCIMT alone in improving upper-limb function and ADLs in patients with early stroke.
A first record of Aptilotus Mik (Diptera: Sphaeroceridae) from the neotropical region, with the description of three new wingless species of the Aptilotus paradoxus group from high elevations in Costa Rica

— The genus Aptilotus Mik is recorded from the Neotropical Region for the first time. Aptilotus nigritibia, new species, A. nigrimera, new species, and A. zumbadoi, new species, all completely wingless, are described from ca. 3,000 m in Costa Rica. A key to the Costa Rican Aptilotus is provided.
Cancer survivors’ self-efficacy to self-manage in the year following primary treatment. of Cancer (1).

Purpose: Cancer survivors are increasingly expected to manage the consequences of cancer and its treatment for themselves. There is evidence that self-efficacy is important for successful self-management and that this can be enhanced with support. The purpose of this study was to assess self-efficacy to manage problems in the year following primary treatment. Methods: This cross-sectional online survey included cancer survivors who had completed their treatment within the past 12 months. Self-efficacy was assessed and variables expected to be associated with self-efficacy were measured using validated scales including quality of life, well-being, illness perceptions, depression, social support and self-management strategies. Results: 182 respondents (mean age 50; 81% female) completed the survey. They had been treated for a range of cancers; most commonly breast (45%). Self-efficacy scores varied between individuals and according to the illness related task to be managed. Respondents were least confident in managing fatigue and most confident in accessing information about their cancer. Individuals most likely to report low self-efficacy were: women, those experiencing higher levels of pain and/or depression, lower well-being scores, lower socio-economic status, low levels of social support or a more negative perception of cancer. Conclusions: Self-efficacy to self-manage problems faced as a consequence of cancer and its treatment can vary widely in the year following treatment. Fatigue may be particularly difficult to manage. Variations in self-efficacy highlight the importance of assessing specific problems faced and people’s confidence to manage them in order to tailor appropriate self-management support.
Health-related quality of life and functional outcomes following nerve transfers for traumatic upper brachial plexus injuries

We report the patient-scored Health-Related Quality of Life (HRQoL) and functional outcomes of a cohort of 21 consecutive patients undergoing nerve transfer surgery for traumatic upper brachial plexus injuries. Outcomes were assessed using the British Medical Research Council power grading system, Short-Form 36, Disability of Arm, Shoulder and Hand questionnaire, and Pain Visual Analogue Scale (PVAS). The mean age of our cohort was 29.8 years (range 18–53 years), with a mean follow-up period of 42.9 months. At follow-up, elbow flexion ≥ M3 strength was achieved in 17/21 patients. Shoulder abduction ≥ M3 was achieved in 14/19 patients. External rotation ≥ M3 strength was achieved in 11/15 patients. Delayed surgical repair correlated negatively with HRQoL outcomes. Higher injury severity scores and smoking were associated with higher PVAS scores. These findings provide key prognostic information for patients and peripheral nerve surgeons embarking upon this intensive pathway to potential recovery.
Psychometric properties and validation of SR3S Questionnaire

Celem artykulu jest opisanie procesu konstrukcji kwestionariusza SR3S (Strategie Radzenia Sobie ze Stresem w Sporcie). Przedstawione zostaną rowniez dane dotyczące wlaściwości psychometrycznych kwestionariusza. Rezultaty pochodzą z dwoch badan – pilotazowego oraz glownego, obejmujących lącznie ok. 320 zawodnikow trenujących rozne dyscypliny sportowe (zespolowe i indywidualne). Przeprowadzone badania pozwolily na zastosowanie analizy czynnikowej. Na jej podstawie zaproponowano wstepny podzial na podskale obejmujące grupy strategii radzenia sobie (nastawienie na cele/zwyciestwo, poszukiwanie wsparcia, stosowanie technik mentalnych, planowanie/dzialanie). Badani sportowcy najcześciej stosowali zadaniowe metody radzenia sobie ze stresem. Uzyskane wyniki pozwalają stwierdzic, ze kwestionariusz SR3S charakteryzuje sie przynajmniej zadowalającymi parametrami psychometrycznymi.
Bases del proceso de internacionalización de las cadenas hoteleras de las Islas Baleares [Bases of the globalisation of the hotel chains of the Balearic Islands]

In recent decades, hotel companies based in the Balearic Islands have become the leaders of the Spanish tourism market and have been released, with great success, to conquer international markets. This article analyses the foundations of this global expansion: its position in the island tourist market, its family character and the relations which they have maintained with international tourism companies: foreign capital tour operators and hotel chains. This analysis includes the definition of the main evolutionary characteristics of the largest European tourist destination: the Balearic Islands and the comparison with other Spanish companies which have also been globalised over those same years. Findings indicate that this expansion has occurred in conditions of competition and without their players having the initial legal or administrative advantages which are so common in other sectors.
The Open Access Israeli Journal of Aquaculture – Bamidgeh

High prices and unsustainable supply have rendered the use of high levels of fish oil in aquafeeds problematic. In the present study, an eight-week feeding trial was conducted to evaluate the replacement of fish oil with less expensive and more sustainable soybean oil in a practical diet containing 17% fish meal, which is widely used in China for Pacific white shrimp Litopenaeus vannamei. Five diets with five levels of fish oil replacement (0%, 25%, 50%, 75%, and 100%) by soybean oil were fed to shrimp for 56 days. At the end of the trial results obtained after analysis of the shrimp showed that shrimp fed diets containing 50% fish oil and 50% soybean oil displayed no significant differences in weight gain, specific growth rate, survival, and feed conversion ratio. Quantitative polymerase chain reactions revealed that the expression levels of fatty acid binding protein and fatty acid synthase, two critical genes in fat metabolism, gradually decreased with increased levels of soybean oil in diets. Fatty acid profiling showed that complete replacement of fish oil with soybean oil affected fatty acid content in shrimp muscles, including monounsaturated fatty acid, polyunsaturated fatty acid, and highly-unsaturated fatty acid, as well as the ratio of n-3/n-6 polyunsaturated fatty acids. The expression of two genes decreased with increased soybean oil level in diets. The growth results indicate that soybean oil can be used to replace 50% fish oil in this practical diet for Litopenaeus vannamei without adverse effects on shrimp growth performance. The IJA appears exclusively as a peer-reviewed on-line open-access journal at http://www.siamb. org.il. To read papers free of charge, please register online at registration form. Sale of IJA papers is strictly forbidden.
Bone Age Assessment Methods: A Critical Review

The bone age of a child indicates his/her level of biological and structural maturity better than the chronological age calculated from the date of birth. Radiography of the hand & wrist is the commonest modality used to calculate bone age. Automated methods for evaluation of hand and wrist radiographs are also being developed which reduce inter rater variability compared to manual methods. Non radiation based techniques of visualizing hand & wrist bones such as ultrasonography for bone age calculation have been theorized but are not as accurate as radiographic methods. By the age of 18 years, bone age cannot be computed from hand & wrist radiographs, therefore the medial end of the clavicle is used for bone age calculation in individuals aged 18—22 years. CT visualization of the clavicle has been extensively studied but requires a high dose of radiation. MRI based methods are being developed but require more research. Dental age is an alternate form of bone age determination, which also gives an estimate of skeletal maturity. The iliac bone and femoral head have also been studied for computation of bone age but no standardized methods have yet been generated. As different modalities of bone age estimation provide different results and their applicability differs in different ethnicities, we need to design studies in order to compare them and select the method best suited to Pakistani children. Sources of Data/Study Selection: Recent articles published between years 2004-2013 obtained from online search engines Pubmed and Google Scholar were used in preparation of this review.