Miracle-dz/UniFAR-FTUs huggingface dataset:
Effectiveness of short message service reminders and leaflets in complying with iron supplementation in pregnant women in depok city, indonesia

Objective: Lack of knowledge about iron supplementation among pregnant women contributes to poor compliance with the therapy. The use of media such as leaflets and short message service (SMS) reminders can be used to improve compliance. This study assessed the effectiveness of SMS reminders and leaflets in complying with iron supplementation in pregnant women. Methods: This quasi-experimental study used two intervention groups with a pre-test and post-test group design. This study was conducted from March to May 2016 in two public health centers in Depok City, Indonesia. A total of 38 respondents in Sukmajaya were given leaflets, and 36 respondents in Pancoran Mas received SMS reminders. Patients’ compliance was measured using the MMAS-8 questionnaire, and their hemoglobin levels were measured with HemoCue ® . Results: A total of 19 respondents in the leaflet group experienced an increase in their hemoglobin levels (with an average of 0.6 g/dl). A total of 17 respondents in the SMS reminders group experienced an increase in hemoglobin levels (with an average of 1.1 g/dl). Conclusions: There was no difference between leaflets and SMS reminders in terms of improving patients’ compliance with iron supplement consumption or with increased hemoglobin levels (p=0.576 and p=0.929, respectively).
fMRI signatures of motor sequence learning: A critical re-evaluation

Despite numerous studies, there is little agreement about what brain changes accompany motor sequence learning, partly because of a general publication bias that favors novel results. We therefore decided to systematically reinvestigate proposed functional magnetic resonance imaging (fMRI) correlates of motor learning in a preregistered longitudinal study with four scanning sessions over 5 weeks of training. Activation decreased more for trained than untrained sequences in premotor and parietal areas, without any evidence of learning-related activation increases. Premotor and parietal regions also exhibited changes in the fine-grained, sequence-specific activation patterns early in learning, which stabilized later. No changes were observed in the primary motor cortex (M1). Overall, our study provides evidence that human motor sequence learning occurs outside of M1. Furthermore, it shows that we cannot expect to find activity increases as an indicator for learning, making subtle changes in activity patterns across weeks the most promising fMRI correlate of training-induced plasticity.
Efficacy of Reminiscence Therapy on Cognitive Functioning in Older Adults: A Horticultural Life Review Program

Both life review programs and horticulture are beneficial for older adults' cognitive functioning. The purpose of this study was to examine the cognitive effects of reminiscence therapy. Participants older than 65 years in a day care center were recruited, and 14 of 24 participants were assigned to an experimental group. The intervention was based on Erickson's life stages and using plant lives as a metaphor for a human's life from birth to death. The intervention program was designed for 7 weeks of seven 1-hour sessions. The results demonstrated that the subscale scores of Orientation and Memory in the experimental group improved significantly. Total scores of the Loewenstein Occupational Therapy Cognitive Assessment were significantly improved in the experimental group following the intervention. Reminiscence therapy has cognitive benefits for older adults. The Horticultural Life Review Program is recommended for promoting older adults' psychological health.
Risk Assessment of Acute Upper Gastrointestinal Haemorrhage with Rockall Score In DMCH

Introduction: Rockall score is used for risk assessment in acute upper gastrointestinal haemorrhage for intervention and prediction for risk of rebleeding and mortality. Methods: This is a cross sectional hospital based observational study carried out among patients presented with haematemesis with or without melaena in the department of Medicine, Dhaka Medical College Hospital from April, 2013 to March 2014 in one hundred consecutive cases. Rockall score done before and after endoscpy. Results: Patients mean age found 45.12±14.9 years with 4:1 male to female ratio. Service holder were (26.0%) and 91.0% were married. Almost half (48.0%) was educated. Combined haematemesis and melaena was presenting feature in 62.0% patients among them 72.0% arrived in hospital within 24 hours of onset. Comorbidity was found in 42.0% cases and 13% took NSAID. Oesophageal varix was found in 25.0%. No death observed in 18% haematemesis patients, one died from melaena (1 of 5) but most died (4 out of 5) from combined haematemesis and melaena. All the 5 death occurred in 89% rebleeding cases. No death observed in 34% patients having pre endoscopic Rockall Score d” 2; as well as in 44% cases post endoscopic Rockall score d”5 score. Mean duration Hospital stay was 6.36±4.5 days. Conclusions: Rockall score is useful in predicting outcomes in acute upper gastrointestinal haemorrhage. Bangladesh J Medicine Jan 2018; 29(1) : 13-25
Evaluation of Knowledge in Hypertensive Saudi Population in Makkah, KSA

Background: Hypertension remains a major health problem, causing high mortality and morbidity all over the world. It is considered a major risk factor for both cerebrovascular accidents (CVAs) and coronary artery disease (CAD). Objectives: To assess the level of knowledge of hypertensive patients in Makkah City. Methods: A cross-sectional analytical questionnaire based study among hypertensive patients of Makkah City. Results: The mean age was 45 years, ranged from 35 to 70 and 63.33% were females and 36.67% were male respondents. The majority of them had college degree and were employed. Most of the respondents had good knowledge about hypertension, risks and treatments. Neither age nor gender showed association with the levels of knowledge in included subjects but education was significantly associated with high levels of knowledge. Conclusion: The general knowledge score was good with high knowledge about risks and treatments. Doctors were not informative to patients about hypertension. Also, education significantly impacts the knowledge of population about hypertension.
Establishing Probiotic Saccharomyces boulardii as a Model Organism for Synthesis and Delivery of Biomolecules

Saccharomyces boulardii is a widely used yeast probiotic which can counteract various gastrointestinal disorders1. As a relative of Saccharomyces cerevisiae, S. boulardii exhibits rapid growth and is easy to transform2 and thus represents a promising chassis for the engineered secretion of biomolecules. To establish S. boulardii as a platform for delivery of biomolecules to the mammalian gut, we measured the amount and variance in protein expression enabled by promoters, terminators, selective markers, and copy number control elements in this organism. These genetic elements were characterized in plasmidic and genomic contexts, revealing strategies for tunable control of gene expression and CRISPR-mediated genome editing in this strain. We then leveraged this set of genetic parts to combinatorially assemble pathways enabling a wide range of drug and vitamin titers. Finally, we measured S. boulardii’s residence time in the gastrointestinal tracts of germ-free and antibiotic-treated mice, revealing the relationships between dosing strategy and colonization level. This work establishes S. boulardii as a genetically tractable commensal fungus and provides a set of strategies for engineering S. boulardii to synthesize and deliver biomolecules during gut colonization.
Chagas Disease: A Neglected Disease

Chagas disease, which is also known as American trypanosomiasis is an infection caused by the protozoan, Trypanosoma cruzi (T. cruzi). It is generally transmitted by feces of a triatomine insect, also known as kissing bugs belonging to family Reduviidae [1]. As per WHO report, 2017, about 6 to 7 million people are estimated to be infected with T. cruzi. This disease is not constrained to Latin America, where it is endemic in 21 countries. However, this is spreading to other areas like Europe, North America, Japan and Australia due to international immigration. It is a major contributor for deaths from parasitic disease [2]. This disease is considered as a proxy for poverty and disadvantage as it generally affects population group with low visibility and little political voice. It is generally neglected by researchers but is reported to have significant effect on morbidity and mortality [3]. Since, this disease affects majority people living in poverty in remote areas, less than 1% of the people have access to diagnosis and treatment [2].
Toward an integrated classification of neuronal cell types: morphoelectric and transcriptomic characterization of individual GABAergic cortical neurons

Neurons are frequently classified into distinct groups or cell types on the basis of structural, physiological, or genetic attributes. To better constrain the definition of neuronal cell types, we characterized the transcriptomes and intrinsic physiological properties of over 3,700 GABAergic mouse visual cortical neurons and reconstructed the local morphologies of 350 of those neurons. We found that most transcriptomic types (t-types) occupy specific laminar positions within mouse visual cortex, and many of those t-types exhibit consistent electrophysiological and morphological features. We observed that these properties could vary continuously between t-types, which limited the ability to predict specific t-types from other data modalities. Despite that, the data support the presence of at least 20 interneuron met-types that have congruent morphological, electrophysiological, and transcriptomic properties. Highlights Patch-seq data obtained from >3,700 GABAergic cortical interneurons Comprehensive characterization of morpho-electric features of transcriptomic types 20 interneuron met-types that have congruent properties across data modalities Different Sst met-types preferentially innervate different cortical layers
Automated Performance Modeling of HPC Applications Using Machine Learning

Automated performance modeling and performance prediction of parallel programs are highly valuable in many use cases, such as in guiding task management and job scheduling, offering insights of application behaviors, and assisting resource requirement estimation. The performance of parallel programs is affected by numerous factors, including but not limited to hardware, applications, algorithms, and input parameters, thus an accurate performance prediction is often a challenging and daunting task. In this article, we focus on automatically predicting the execution time of parallel programs (more specifically, MPI programs) with different inputs, at different scales, and without domain knowledge. We model the correlation between the execution time and domain-independent runtime features. These features include values of variables, counters of branches, loops, and MPI communications. Through automatically instrumenting an MPI program, each execution of the program will output a feature vector and its corresponding execution time. After collecting data from executions with different inputs, a random forest machine learning approach is used to build an empirical performance model, which can predict the execution time of the program given a new input. A transfer learning method is used to reuse an existing performance model and improve the prediction accuracy on a new platform that lacks historical execution data. Our experiments and analyses of three parallel applications, Graph500, GalaxSee, and SMG2000, on three different systems confirm that our method performs well, with less than 20 percent prediction error on average.
Associations between Nutrition Knowledge, Vitamin C Intake, Nutritional Status, and Blood Pressure among Elderly with Hypertension in Klaten, Central Java, Indonesia

Objective: To analyze the correlation between nutrition knowledge, vitamin C intake, and nutritional status on blood pressure among elderly with hypertension. Methods: This was a cross-sectional study with purposive random sampling which was conducted from April to May 2017. This study included one hundred twenty-five elderly subjects with hypertension who met the inclusion criteria (17 males and 108 females), aged ≥60 years, who lived in the work area of Juwiring Public Health Center in Klaten district, Central Java, Indonesia. The data were analyzed statistically by using normality, correlation, and multiple linear regression tests. Results: The results of the correlation test showed that there was a correlation between nutrition knowledge (p=0.011), vitamin C intake (p=0.012), nutritional status (p=0.048), and blood pressure hypertension in elderly based on the results of multiple linear regression. All data were analyzed statistically using Spearman correlation test to examine the distributed data. A significant correlation was found between nutrition knowledge, vitamin C intake, and nutritional status (p<0.05) using multiple linear regression (p<0.05). A normality test using the Kolmogorov-Smirnov test resulted in normal residue with p-value 0.000. The results showed that the regression analysis could be used to predict the blood pressure. Conclusion: There was a correlation between nutrition knowledge and blood pressure of hypertension in elderly. There was a correlation between vitamin C intake and a blood pressure of hypertension in elderly. There was a correlation between nutritional status and a blood pressure of hypertension in elderly. Keywords: Blood pressure, elderly hypertension, nutrition knowledge, nutritional status, vitamin C intake DOI: 10.15850/ijihs.v6n1. 1114
Site-Embedded Professional Development as a Means to Increase Teachers' Sense of Efficacy: Lessons from a Middle School Quasi-Experimental Study

The purpose of this quasi-experimental study was to provide site-embedded professional development and coaching support to middle school teachers in an attempt to increase their sense of efficacy for teaching even the most difficult students. The entire faculty (64 teachers) at Jordan Ridge Middle School participated in this intervention. The theoretical framework used to guide this study was conceptual change theory (Pintrich, Marx, & Boyle, 1993); specifically, Gregoire’s (2003) Cognitive-Affective Model of Conceptual Change (CAMCC) informed the design and interpretation of the intervention. A 33item adaptation of the Teachers’ Sense of Efficacy Scale (TSES, Tschannen-Moran and Hoy, 2007) served as a quantitative measure and was administered to teachers at Jordan Ridge Middle School as a preand posttest. The same measure was administered to teachers at a neighboring school with similar demographics as a post-test to serve as a comparison. Additionally, qualitative data were gathered in the form of survey open response questions as well as monthly end-of class reflections in order to further illuminate the quantitative findings. The study’s findings indicate that providing targeted, responsive, collaborative professional learning opportunities to teachers in the context of their own school may favorably influence their sense of efficacy. This study has practical and theoretical implications for the ways in which K12 teachers are provided opportunities for professional learning and growth.
Investigating the Interaction Patterns in EFL Virtual Classroom: A Case Study

— In this study, the interaction pattern between teacher and students in a synchronous e-learning system was analyzed. The study focuses on the initiation acts from both teacher and students. Three class-sessions of an EFL virtual classroom were recorder and the whole classroom talk then transcribed. The results suggest that teacher has more initiation acts, as the most dominated initiation acts is elicit the genuine questions in purpose of getting information from the students. While from students’ side, the most dominated initiation acts is also elicit the genuine questions in purpose of getting information from teacher. The results also indicate that in this virtual classroom, teacher still dominated most of the classroom talk. This paper offers the preliminary discourse analyses as part of an examination of the value of virtual places for instructional design.
Sightseeing Spot Recommendation Based on Photographer's Preference Extracted from Sightseeing Photographs

Along with the spread of mobile terminal devices, the number of users who take pictures during traveling and post them to SNS is increasing, but most of them are not utilized. In addition, travelers often go around their unsuited sightseeing spots out of their own “preferences,” because sightseeing spots posted in sightseeing guides do not take into consideration the users’ individual “preferences. ” If many photographs that sleep in mobile terminal devices can be utilized for recommendation of sightseeing spots, it will lead to the creation of new travel opportunities, the revitalization of local regions, and the improvement of travelers’ satisfaction with sightseeing spots. In this paper, we assume that photographs taken by a user include her/his inherent “preference. ” This paper aims at developing a novel method for sightseeing spot recommendation based on each user’s “preference” tags extracted by analyzing object-name tags in her/his photographs, image-recognized by the existing image analysis technology.
The Relationship Among Organizational Stressor, Social Support, and Sports Performance on Athletes Achievements

Organizational stressors in sports had developed rapidly in the past decade and produced a theoretical framework that stimulated studies exploring the demands faced by athletes. Organizational stressors have the potential to cause many undesirable consequences for athletes. Organizational stressors have been defined as environmental demands that are related, especially and directly to the organization where an individual operates. In addition, social support is influenced by sports performance, regardless of the stress level. Athletes must be encouraged to be proactive in utilizing social support from people around that is important in overcoming the events experienced by them. The existence of social support can reduce or eliminate the bad consequences of events experienced, such as health and well-being of athletes. Social support can influence sports performance by advising on tactics in matches, game strategies, or by increasing the positive influence and greater influence on athletes both before and during the competition. Therefore, it is very important that psychologists better understand the demands in facing athletes through their exploration and assessment. However, although researchers have identified various organizational stressors in competitive sports and the role of social support in the competitive stress process, coaches and athletes should know how to improve the sport performance in stressful and demanding situations. The purpose of this paper is to present scientific knowledge about the role of social support as a moderator to help athletes cope with the demands and pressures imposed by organizations.
A novel approach to use semantic segmentation based deep learning networks to classify multi-temporal SAR data

Abstract The use of SAR data for land cover mapping provides many advantages over land cover classification achieved using optical remote sensing data. However, the classification of SAR data has always been a challenging task. In this study, the feasibility of the use of semantic segmentation based deep learning networks to classify temporal SAR data has been demonstrated. It has been achieved by applying six deep learning architectures viz. Pyramid Scene Parsing, UNET, DeepLabv3+, Path Aggregation Network, Encoder-Decoder Network and Feature Pyramid Network over temporally acquired SAR datasets for three different frequencies (triannual, quarterly and bimonthly). Outputs of all six architectures have been assessed using frequency weighted IoU. It was observed that Pyramid Scene Parsing architecture when applied on bimonthly temporal SAR provides the best results.
Technology Innovation System Analysis of Electricity Smart Metering in the European Union

Between 2018 and 2023 the penetration rate of electricity smart meters in the European Union (EU) is expected to grow from approximately 44% to 71%. The unprecedently rapid development of smart metering (SM) as an ICT-enabled technological novelty is progressing in a complex, multi-actor innovation system, which is strongly driven by EU-level institutions and policies. This paper presents the comprehensive Technology Innovation System (TIS) analysis of electricity SM development in the EU, with a focus placed on regulatory aspects. The article identifies the key elements of the SM innovation system (technologies and infrastructures; actors and networks; institutions and policies) and characterises their interaction based on an in-depth desk research and a critical assessment of regulations, statistics and primary and grey literature sources (e.g., market reports). The main enablers and barriers for EU-level SM TIS development are studied. The major driving force for EU-level SM TIS is the clear, yet evolving vision of EU-level actors for the SM deployment, founded on the grounds of energy conservation and empowerment of customers. On the other hand, the major inhibitor is the insufficient regulatory framework for roll-outs at the level of a Member State, which does not fully ensure interoperability, data protection and security standards or organisational effectiveness.
Anticancer pharmaceutical composition

FIELD: medicine, pharmaceutics. SUBSTANCE: invention relates to field of pharmaceutics and medicine and deals with anticancer pharmaceutical composition or combination for prevention cancer of lungs or cancer of kidney, which contains as active ingredients medication, which is produced from gefitinib, erlotinib and soraphenib, and dihydrochloride 5-(4-(6-(4-amino-3,5-dimetylphenoxy)-1-metyl-1H-benzimidazol-2-ilmethoxy)benzyl)thiazolidine-2,4-dione. EFFECT: invention insures increased efficiency of treatment. 16 cl, 5 dwg, 3 tbl, 18 ex
Chamber layout design optimization of soft pneumatic robots

This paper presents a study on improving the mechanical performance of soft pneumatic robots through parameterized layout and shape optimization of air chambers. Most soft robots are designed mainly by using biomimetics or engineering intuition. To fully explore the potential of the soft robots, however, it is highly desirable to develop a rational and systematic method to optimize the structural layout. In particular, structural stiffness of soft pneumatic robots is a key issue to be considered in practical design. This study first shows that the structural layout has a significant impact on the structural stiffness of the soft robot. In the optimization model, the design parameters explicitly defining the layout and shapes of the air chambers are to be optimized. In order to attain adequate structural stiffness so as to enhance the gripping force while improving the delivered motion, the output work is considered as the objective function to be maximized. This optimizaiton model enables a gradient-based mathematical programming algorithm to be used. It is shown through finite element analysis and physical experiments that the optimized layout and shape of the air chambers significantly improve the output work of the soft pneumatic gripper. The method is also adapted to be used in the structural design of a crawling soft robot.