Miracle-dz/UniFAR-FTUs huggingface dataset:
Association between omega-3 fatty acid supplementation and lower risk of preterm delivery: a systematic review and meta-analysis

Abstract Objective To explore whether omega-3 fatty acid supplementation is associated with lower risk of preterm delivery. Methods Searching the RCTs which were compared preterm birth between women with omega-3 fatty acid supplementation and without before December 2019 on Medline, EMBASE and Cochrane’s Library, then performing a meta-analysis. Results 26 trials were identified, included 20124 women. There was almost no association between omega-3 fatty acid supplementation and lower risk of preterm delivery (risk ratio 0.92, 95% confidence interval 0.85 to 1.01, I 2 = 9%), gestational duration (0.30, −0.05 to 0.64, I 2 = 48%). In subgroup analyses, preterm delivery lower rate occurred in groups with mixed DHA and EPA supplementation not only DHA supplementation groups (P for interaction = 0.02); The dose of equivalent greater than 1 g made a higher reduction in preterm birth significantly. Conclusions Omega-3 fatty acid supplementation was not associated with reduced risk of preterm delivery compared with placebo or no treatment during pregnancy. Relationship between Omega-3 fatty acid supplementation and other pregnant outcomes need more evidence and clinical studies.
Dual-Path Attention Network for Compressed Sensing Image Reconstruction

Although deep neural network methods achieved much success in compressed sensing image reconstruction in recent years, they still have some issues, especially in preserving texture details. In this article, we propose a new dual-path attention network for compressed sensing image reconstruction, which is composed of a structure path, a texture path and a texture attention module. Motivated by the classical paradigm of image structure-texture decomposition, the structure path aims to reconstruct the dominant structure component of the original image, and the texture path targets at recovering the remaining texture details. To better bridge the information between two paths, the texture attention module is designed to deliver the useful structure information to the texture path and predict the texture region, thereby facilitating the recovery of texture details. Two paths are optimized with a unified loss function. In the testing phase, given the measurement vector of a new image, it can be well reconstructed by carrying out the well trained dual-path attention network and integrating the outputs of the structure path and the texture path. Experimental results on the SET5, SET11 and BSD68 testing datasets demonstrate that the proposed method achieves comparable or better results compared with some state-of-the-art deep learning based methods and conventional iterative optimization based methods in terms of reconstruction quality and robustness to noise.
Impacts of Motion-Based Technology on Balance, Movement Confidence, and Cognitive Function Among People With Dementia or Mild Cognitive Impairment: Protocol for a Quasi-Experimental Pre- and Posttest Study

Background While exercise can benefit the health and well-being of people with dementia or mild cognitive impairment, many exercise programs offered to this population are passive, unengaging, and inaccessible, resulting in poor adherence. Motion-based technologies are increasingly being explored to encourage exercise participation among people with dementia or mild cognitive impairment. However, the impacts of using motion-based technologies with people with dementia or mild cognitive impairment on variables including balance, movement confidence, and cognitive function have yet to be determined. Objective The purpose of this study is to examine the impacts of a group motion-based technology intervention on balance, movement confidence, and cognitive function among people with dementia or mild cognitive impairment. Methods In this quasi-experimental pre- and posttest design, we will recruit 24 people with dementia or mild cognitive impairment from 4 adult day programs and invite them to play Xbox Kinect bowling in a group setting, twice weekly for 10 weeks. We will require participants to speak and understand English, be without visual impairment, and be able to stand and walk. At pretest, participants will complete the Mini-Balance Evaluation Systems Test (Mini-BESTest) and the Montreal Cognitive Assessment (MoCA). We will video record participants during weeks 1, 5, and 10 of the intervention to capture behavioral indicators of movement confidence (eg, fluency of motion) through coding. At posttest, the Mini-BESTest and MoCA will be repeated. We will analyze quantitative data collected through the Mini-BESTest and the MoCA using an intent-to-treat analysis, with study site and number of intervention sessions attended as covariates. To analyze the videos, we will extract count and percentage data from the coded recordings. Results This study will address the question of whether a group motion-based technology intervention, delivered in an adult day program context, has the potential to impact balance, movement confidence, and cognitive function among people with dementia or mild cognitive impairment. The project was funded in 2019 and enrollment was completed on February 28, 2020. Data analysis is underway and the first results are expected to be submitted for publication in 2021. Conclusions This study will assess the feasibility and potential benefits of using motion-based technology to deliver exercise interventions to people with dementia or mild cognitive impairment. This work can also be used as the basis for developing specific software and future exercise programs using motion-based technology for people with dementia or mild cognitive impairment, as well as understanding some of the conditions in which these programs can be delivered. International Registered Report Identifier (IRRID) DERR1-10.2196/18209
School Closures During COVID-19: Opportunities for Innovation in Meal Service.

In 2019, the National School Lunch Program and School Breakfast Program served approximately 15 million breakfasts and 30 million lunches daily at low or no cost to students.Access to these meals has been disrupted as a result of long-term school closures related to the COVID-19 pandemic, potentially decreasing both student nutrient intake and household food security. By the week of March 23, 2020, all states had mandated statewide school closures as a result of the pandemic, and the number of weekly missed breakfasts and lunches served at school reached a peak of approximately 169.6 million; this weekly estimate remained steady through the final week of April.We highlight strategies that states and school districts are using to replace these missed meals, including a case study from Maryland and the US Department of Agriculture waivers that, in many cases, have introduced flexibility to allow for innovation. Also, we explore lessons learned from the pandemic with the goal of informing and strengthening future school nutrition policies for out-of-school time, such as over the summer. (Am J Public Health. Published online ahead of print September 17, 2020: e1-e9. https://doi.org/10.2105/AJPH.2020.305875).
Shellfish allergy diagnosis: gaps and needs

Seafood plays an increasing role in human nutrition worldwide, sustained by international trade of a variety of new seafood products. Increased production and consumption has resulted in more frequent reports of adverse reactions. The most recent prevalence data from Asia highlight seafood as a significant sensitiser in up to 40% of children and 33% of adults. Thousands of different shellfish species are consumed worldwide; however only a few species are utilised in in vitro and in vivo assays to confirm clinical sensitivity. Adding to the diagnostic challenges, over 10 additional seafood allergens have been characterised on a molecular level in the last 10 years alone. Therefore a convincing history and good diagnostic workup is fundamental for the management of adverse and allergic reactions to seafood. This review discusses recent literature in this field.
Quality improvement: A strategy to accelerate pharmacist integration into team-based primary care practice

Introduction The role of pharmacists in primary care teams has been a subject of increasing interest in recent years as Canadian primary care practice has shifted toward an interprofessional teambased model. In the 2013 “Guidelines for pharmacists integrating into primary care teams,” Jorgenson et al. summarized common barriers to pharmacist integration into these teams: lack of role clarity, physician resistance, patients’ uncertainty about the pharmacist’s role and lack of pharmacist assertiveness. In this practice brief, we discuss how a pharmacy team– led quality improvement (QI) project in an academic family health team addressed some of the aforementioned barriers, augmented the pharmacy team’s caseload and facilitated integration into the family practice care team for a pharmacy resident new to this setting. Women’s College Hospital (WCH) in Toronto, Ontario, is Canada’s only academic ambulatory care hospital. Since 2012, WCH has offered a postgraduate year 1 (PGY1) pharmacy residency training program that is accredited by the Canadian Pharmacy Residency Board. After a 4-week immersive rotation in the WCH Family Practice Health Centre (FPHC), the pharmacy resident continues to provide direct patient care one day per week throughout the residency year, with preceptorship from the FPHC team pharmacist. The longitudinal component of this rotation provides a unique opportunity for residents to enhance their practice management and leadership skills by assuming progressive responsibility and independence for their own patient caseload. We introduced a practice enhancement initiative into the 2018-2019 residency program to augment the pharmacy resident’s case-finding strategy and to enhance the patient referral stream for the longitudinal FPHC rotation. To enrich the experience, we adopted a QI framework so that the resident could concurrently develop skills in evaluating small tests of change and planning subsequent, feedback-responsive iterations to scale the intervention. The project was a targeted deprescribing initiative that aligned with the organization’s strategic goals regarding quality service excellence and patient engagement. We chose this initiative because, on a global scale, the World Health Organization has called for action by issuing a Patient Safety Challenge in 2017 to decrease avoidable medication-related harm by 50% within 5 years. Deprescribing is one strategy to address this aim and is well aligned with the pharmacy team’s scope of practice to address. Evidencebased clinical practice guidelines for deprescribing various medication classes have been published in recent years to guide best practice. We chose to target proton pump inhibitors (PPIs) first, as 40% to 55% of people using PPIs long-term do not have a valid indication for ongoing use. We plan to apply what we have learned with PPIs to develop targeted deprescribing processes for other classes of potentially inappropriate medications.
Adaptive sliding-mode control for spacecraft autonomous rendezvous with elliptical orbits and thruster faults

This article studies the problem of spacecraft autonomous rendezvous control for elliptical target orbits with external disturbance and thruster faults. The Clohessy–Wiltshire equation of elliptical target orbits without linearization is employed to describe the relative dynamic model as a linear time-varying system, such that the model errors in traditional linearization modeling methods are avoided. By on-line estimation of thruster faults and external disturbance, an adaptive sliding-mode control scheme is designed to eliminate the effects of the thruster faults and external disturbances, such that the reachability of the proposed integral sliding surface is ensured. Finally, a numerical example is established to illustrate the effectiveness of the proposed control approach.
Infection and mortality of Microtheca ochroloma (Coleoptera: Chrysomelidae) by Isaria fumosorosea (Hypocreales: Cordycipitaceae) under laboratory conditions

ABSTRACT Microtheca ochroloma Stål, the yellowmargined leaf beetle, is a pest in crucifer crops during the late fall and winter months in Florida. On organic farms, it is difficult to control due to the restricted use of insecticides, in addition to the lack of specific natural enemies. The objective of this study was to evaluate a blastospore-formulated product of Isaria fumosorosea (PFR-97TM 20% WDG) against this beetle. In the first experiment, four of the beetle's life stages were treated with a suspension of 3 × 107 blastospores/ml. Mean corrected mortality of treated insects was significantly higher in 1st and 3rd instars than in the egg, pupal, and adult stages. Larvae infected by I. fumosorosea exhibited reduced growth and unsuccessful molting. The second experiment quantified mortality of first instars of M. ochroloma by four concentrations of PFR-97TM. Mean corrected larval infection/treatment was significantly (2.6 times) higher with a concentration of 4 g of product per 100 ml of water compared to concentrations of 1–3 g per 100 ml of water. Different factors that might have affected the pathogenicity of I. fumosorosea against M. ochroloma are discussed.
Pediatric pharmacists’ perspectives on essential skills and activities for community pharmacists caring for pediatric patients: A mixed-methods study

Background: Provision of care to pediatric patients represents a set of unique challenges for pharmacists. Pharmacists practising in pediatric-specialty areas (acute care or ambulatory) have unique perspectives on approaches to pediatric care that can be shared to support pharmacists less familiar with this group of patients in providing effective, patient-centred care. Methods: This was a mixed-methods study using data from pharmacist interviews to quantify and qualitatively describe the approaches to care most commonly reported by pediatric-specialty pharmacists when asked to provide advice to pharmacists on providing pharmaceutical care to infants and children. Data were coded in duplicate using an inductive approach, and discrepancies were resolved by consensus. The number of times a theme (or subtheme) was mentioned and the number of pharmacists who mentioned it were used as markers of the relative importance of the content. Results: The themes (and subthemes) that emerged as most important were clinical activities (dose checks, considering indication, using up-to-date height/weight), caregiver counselling (demonstrating measurement, discussing administration), medication safety (using consistent concentrations of liquids), compounded medications (risks of, use of caution), adherence (formulation considerations, palatability), avoiding use of over-the counter products (except analgesics/antipyretics) and use of external supports (colleagues, caregivers, resources). Conclusions: We present a collated and prioritized list of practical approaches for pharmacists to use when caring for pediatric patients across the spectrum of practice. Can Pharm J (Ott) 2020;153:xx-xx.
Effect of Metalaxyl and Chlorpyrifos-Methyl Against Early Blight (Alternaria solani, Sor.) and Whitefly (Bemisia tabaci, Genn.) In Tomato and Eggplant

Alternaria solani (Sor.) and Bemisia t abaci (Genn.) are the most important foliar pathogens of tomato and eggplant crops in E gypt. Two pesticides, metalaxyl ( Ridomil plus 50% WP) at concentrations of 12.5, 25, 50 and 75 ppm and c hloropyrifos-methyl (Reldan 50% EC) at concentrations of 25, 50, 100 and 125 ppm alone or in mixture were tested against A. solani in vitro and greenhouse tests. In vitro spore germination of A. solani was m ore sensitive to the mixture of m etalaxyl an d chlorpyrifos-methyl followed by metalaxyl and c hlorpyrifos-methyl, respectively, while the mycelial growth was reduced by chlorpyrifos-methyl followed by the t wo pesticide m ixture and metalaxyl, respectively. The m etalaxyl and chlorpyrifos-methyl mixture was e ffective in reducing the mycelial dry w eight an d total m ycelial protein content comparing with each pesticide, separately. In greenhouse experiment, two foliar applications of metalaxyl and/or chlorpyrifos-methyl, at the tested concentrations reduced the early blight disease severity on t omato (by 4.63 to 93.98%) and eggplant (by 0.45 to 98.12%) com paring wi th t he co ntrol plants. The chlorpyrifos-methyl (125ppm) a nd metalayl + chlorpyrifos-methyl (75 + 125ppm, r espeetively) treatments were reduced the population of immature stages of B. tabaci by 65.7 and 84.0% on tomato and eggplant respectively. In field a pplications, the tested pesticides were reduced the early blight disease severity on tomato by 38.45 to 94.99% and eggplant by 16.69 and 86.70% after foliar sprays. The chlorpyrifos-methyl and metalaxyl + chlorpyrifos-methyl mixture were more effective against B. tabaci, w hile the metalaxyl was ine ffective. T he population of i mmature stages o f B. t abaci were reduced by 48.00 t o 64. 00% on tomato and by 3 2.00 to 81.00% on eggplant.
Development and validation of the (inner) Strength-Based Inventory

ABSTRACT Ten perfections (known as inner strengths) are considered positive psychological characteristics, namely, generosity, morality, mindfulness/meditation, wisdom, perseverance, patience and endurance, truthfulness, determination, loving kindness and equanimity. The goal of this study was to develop a new instrument, the (inner) Strength-Based Inventory (SBI) based on these ten perfections. In all, 947 participants completed the SBI for item evaluation using Rasch analysis, and 556 completed the original version of the SBI comprising 10 items with five to eight response choices. The final version comprising 10 items, with five choices for each item, which were completed by 391 participants for the second evaluation. All 10 items showed a unidimensional construct with good fit statistics, good reliability and targeting. The SBI provided sufficient validity and reliability based on the Rasch measurement model. It may facilitate counselling and psychotherapy by enabling clinicians to use it as an individual’s positive resource. Further investigation among diverse cultures is encouraged.
Musical Tension Associated With Violations of Hierarchical Structure

Tension is one of the core principles of emotion evoked by music, linking objective musical events and subjective experience. The present study used continuous behavioral rating and electroencephalography (EEG) to investigate the dynamic process of tension generation and its underlying neurocognitive mechanisms; specifically, tension induced by structural violations at different music hierarchical levels. In the experiment, twenty-four musicians were required to rate felt tension continuously in real-time, while listening to music sequences with either well-formed structure, phrase violations, or period violations. The behavioral data showed that structural violations gave rise to increasing and accumulating tension experience as the music unfolded; tension was increased dramatically by structural violations. Correspondingly, structural violations elicited N5 at GFP peaks, and induced decreasing neural oscillations power in the alpha frequency band (8–13 Hz). Furthermore, compared to phrase violations, period violations elicited larger N5 and induced a longer-lasting decrease of power in the alpha band, suggesting a hierarchical manner of musical processing. These results demonstrate the important role of musical structure in the generation of the experience of tension, providing support to the dynamic view of musical emotion and the hierarchical manner of tension processing.
Unifying neighbourhood and distortion models: part I – new results on old models

ABSTRACT Neighbourhoods of precise probabilities are instrumental to perform robustness analysis, as they rely on very few parameters. Many such models, sometimes referred to as distortion models, have been proposed in the literature, such as the pari mutuel model, the linear vacuous mixtures or the constant odds ratio model. This paper is the first part of a two paper series where we study the sets of probabilities induced by such models, regarding them as neighbourhoods defined over specific metrics or premetrics. We also compare them in terms of a number of properties: precision, number of extreme points, n-monotonicity, behaviour under conditioning, etc. This first part tackles this study on some of the most popular distortion models in the literature, while the second part studies less known neighbourhood models and summarises our findings.
Indoor vs. Outdoor Walking: Does It Make Any Difference in Joint Angle Depending on Road Surface?

Measurement of the joint angle during walking in real-world environments facilitates comprehension of the adaptation strategy corresponding to road surfaces. This study investigated the differences between the joint angles in the lower limb when walking on flat road surfaces in indoor and outdoor environments. Ten healthy young males who walked on a carpet-lined corridor in the indoor environment and on an interlocking block pavement surface in the outdoor environment participated in the study. The joint angles of their lower limbs were measured using seven inertial measurement units, and the average and coefficient of variation (%CV) of the joint angular excursion in the two environments were evaluated. The %CVs of the ankle plantar flexion excursion in the early stance was 45% higher in the outdoor environment compared with that in the indoor, although the spatiotemporal parameters and joint angular excursion of the proximal joints showed no difference between the environments. Though the road surfaces were flat from a macroscopic point of view, the interlocking block pavement had stiffer and more irregular characteristics. The variability in the ankle plantar flexion motion in the early stance may be most likely affected by these surface characteristics in the real-world outdoor environment.
InSTechEM: An Internet of Thing big data–oriented extended model for MapReduce performance prediction in multiple edge clouds

Uploading all Internet of Things big data to a centralized cloud for data analytics is infeasible because of the excessive latency and bandwidth limitation of the Internet. A promising approach to addressing the challenges for data analytics in Internet of Things is “edge cloud” that pushes various computing and data analysis capabilities to multiple edge clouds. MapReduce provides an efficient way to deal with a large amount of data. When performing data analysis, a challenge is to predict the performance of MapReduce jobs. In this article, we propose and evaluate InSTechEM, which is an extended Internet of Things big data–oriented model for predicting MapReduce performance in multiple edge clouds. InSTechEM is able to predict MapReduce jobs’ total execution time in a general implementation scenario with varying reduce amounts and cluster scales. The proposed model is built based on historical job execution records and employs locally weighted linear regression techniques to predict the execution time of each job. By modifying the prediction model used in Hadoop 1 and extracting more representative features to represent a job, the InSTechEM model can effectively predict the total execution time of MapReduce applications with the average relative error of less than 10% in Hadoop 2 with Ceph as the storage system.