Miracle-dz/UniFAR-FTUs huggingface dataset:
Does social capital build women's assets? The long-term impacts of group-based and individual dissemination of agricultural technology in Bangladesh

This paper investigates the long-term impact of agricultural technologies, disseminated using different implementation modalities on men's and women's asset accumulation in rural Bangladesh. Panel data spanning a 10-year period are used to examine the effects of the adoption of new vegetable varieties and polyculture fish pond management technologies on household resource allocation, incomes, and nutrition. A difference-in-differences model combined with nearest-neighbour matching is used to compare changes in husbands and wives' assets within the same household. The results show women's assets increase more relative to men's when technologies are disseminated through women's groups, suggesting that implementation modalities are important in determining the gendered impact of new technologies. These findings are robust to controls for unobserved household-level characteristics. These results suggest that social capital, as embodied through women's groups, not only serves as a substitute for physical assets in the short run, but helps to build up women's asset portfolios in the long run.
EFFECT OF EARLY REFLECTIONS IN BINAURAL SYSTEMS WITH LOUDSPEAKER REPRODUCTION

A sole (12) for an athletic shoe (10) includes a base member (42) having a main lower surface (22). A contact surface (26) extends downwardly from the base member (42) to below the main lower surface (22) in order to contact the ground or floor before the main lower surface (22) as the shoe (10) descends. The contact surface (26) includes a horizontally elongate, resiliently flexible spiroidal member (38). The spiroidal member (38) has a plurality of involutions (56). Each involution (56) has a plurality of longitudinal portions (52-54) and a plurality of transverse portions (48-50). Portions (48-54) have flat bottom surfaces (30) for frictionally gripping the ground or floor disposed opposite the portions' attachments (96) to base member (42). Portions (48-54) provide a braking, shock-absorbing and anti-slipping action in response to horizontal shear forces normal to them. In a preferred embodiment, contact surface (26) includes an endless member ( 34) that aids in entrapping a cushion of air upon downward force being exerted by the wearer's foot on the floor or ground. In a preferred embodiment, both a plantar contact surface (26) and a heel contact surface (28) are provided.
Optical trapping of 60 nm diameter particles in photonic crystal slot-microcavities

We report optical trapping of 60 nm Au nanoparticles using photonic crystal slot-cavities with Q's of ~7200 and 0.3mW of guided power at 1. 6μm. Histograms of the cavity transmission are used to quantitatively analyze the trapping dynamics by modeling the back-action of the nanoparticles in the trap.
Compiler Optimizations Impact the Reliability of the Control-Flow of Radiation-Hardened Software

This paper discusses how compiler optimizations influence software reliability when the optimized application is compiled with a technique to enable the software itself to detect and correct radiation-induced control-flow errors. Supported by a comprehensive fault-injection campaign using an established benchmark suite in the embedded systems domain, we show that the compiler is a non-negligible source of noise when hardening the software against radiation- induced soft errors.
Asymptotic Properties of a Random Graph with Duplications

We deal with a random graph model evolving in discrete time steps by duplicating and deleting the edges of randomly chosen vertices. We prove the existence of an almost surely asymptotic degree distribution, with stretched exponential decay; more precisely, the proportion of vertices of degree d tends to some positive number c(d) > 0 almost surely as the number of steps goes to infinity, and c(d) similar to (e pi)(1/2)d(1/4)e(-2)root d holds as d -> infinity.
A direct method to find optimal trajectories for mobile robots using inverse kinematics

Robot motion planning has applications in a wide range of areas such as robot navigation and medical surgery. Among the topics that are related to motion planning, computing time-optimal trajectories is challenging and of great importance. We want to move a robot from the start to the goal in the shortest time. There are four different vehicle designs that are considered in our work: Dubins cars, Reeds-Shepp cars, differential drive cars and omni-directional vehicles. The objective is to help us better understand structures of optimal trajectories of some certain kinematic vehicles, as well as to form a good basis for comparison with the indirect method, which applies Pontryagin’s principle to search rather than searching directly. In the proposed work, we build a direct method to explore time-optimal trajectories for mobile robots by using inverse kinematics: search free parameters (durations) to reach an intermediate configuration, then compute the last three durations from the intermediate configuration to the goal configuration by using inverse kinematics. The property of inverse kinematics guarantees the system to reach the goal precisely. Moreover, the inverse kinematics approach is a very simple algorithm for computing trajectories for systems with a small number of switches in their optimal trajectories. We have implemented the inverse kinematics solver for three-segment trajectories and a brute-force search planner in the absence of obstacles using naive uniform sampling algorithm. The results show that our method can compute optimal trajectories for Dubins cars and differential drive cars. It also produces good trajectories for omni-directional vehicles in most of our test cases. We also re-implemented the planner in C and applied optimization strategies. The search time turned out to be largely reduced.
Linking innovative human resource practices, employee attitudes and intention to leave in healthcare services

Purpose Following an “employee-centric” approach, the purpose of this paper is to examine the effects of high-performance work systems (HPWS) on employees’ work engagement and job satisfaction, and the mediating effect of these variables on employees’ affective commitment and intention of leaving their hospital. Design/methodology/approach Structural equation modeling was used on a sample of 296 clinicians (doctors and nurses) across seven Greek regional hospitals. Findings The findings indicate a strong positive effect of HPWS on employees’ job satisfaction, affective commitment, and work engagement and a negative effect on their intention to leave. In addition, employees’ engagement and job satisfaction positively mediate the HPWS effects on employees’ affective commitment and negatively on their intention to leave. Practical implications The findings not only validate previous studies’ conclusions, but also provide evidence for the potential fruitfulness of the HPWS approach in improving employees’ outcomes and well-being in turbulent times. Originality/value Although the argument that HPWS has a positive effect on organizational performance and productivity is well established, there are considerably fewer studies that examine the positive effects of HPWS specifically on employees’ job attitudes and outcomes, and the processes through which HPWS influences health-related outcomes. Finally, this study confirms the argument that HPWS can be a fruitful approach even in a country severely affected by Europe’s debt crisis over the last five years.
Image Analysis of Endosocopic Ultrasonography in Submucosal Tumor Using Fuzzy Inference

Endoscopists usually make a diagnosis in the submucosal tumor depending on the subjective evaluation about general images obtained by endoscopic ultrasonography. In this paper, we propose a method to extract areas of gastrointestinal stromal tumor (GIST) and lipoma automatically from the ultrasonic image to assist those specialists. We also propose an algorithm to differentiate GIST from non-GIST by fuzzy inference from such images after applying ROC curve with mean and standard deviation of brightness information. In experiments using real images that medical specialists use, we verify that our method is sufficiently helpful for such specialists for efficient classification of submucosal tumors.
WIRELESS FIRE DETECTION SYSTEM WITH GIS TECHNOLOGY FOR FIRE AND RESCUE APPLICATION

The purpose of the Fire and Rescue Service is to protect human life, our property, and Earth natural resources from fire and other emergencies. With fluctuation in demands, the Fire and Rescue Service must equipped with the best techniques, training regime and equipment to meet public expectations. Mitigation, preparedness and risk management have taken on new benefit with challenges facing the fire service today. Fast response cannot be achieved without good planning and preparedness. As a result, three-Dimensional (3D) city and building models for Fire and Rescue Applications have become an important part of GIS network analysis. This technology can help Fire and Rescue service to work in complex and unfamiliar indoor environments.
2012 International Conference on Information Management, Innovation Management and Industrial Engineering Research on Construction of Agricultural Disaster Information Monitoring System Based on Meta-search Engine

Meta search engine can strengthen the link between users and search engines essentially. In view of the theory and characteristics of meta-search engine, this paper explains the application of meta-search engine to agriculture disaster information monitoring system, and constructed technology architecture for agricultural disaster information monitoring system based on meta-search engine, which include three modules: disaster information generation module, disaster information search module and disaster information results display module. Researches show that building and improving a agricultural disaster information monitoring system will greatly improve the level of agricultural disaster information monitoring and provide decision-making basis for agricultural disaster alter and emergency. Studying the development of the agricultural disaster information monitoring system has important theoretical value and practical significance.
Pain Reduces Sexual Motivation in Female But Not Male Mice

Chronic pain is often associated with sexual dysfunction, suggesting that pain can reduce libido. We find that inflammatory pain reduces sexual motivation, measured via mounting behavior and/or proximity in a paced mating paradigm, in female but not male laboratory mice. Pain was produced by injection of inflammogens zymosan A (0.5 mg/ml) or λ-carrageenan (2%) into genital or nongenital (hind paw, tail, cheek) regions. Sexual behavior was significantly reduced in female mice experiencing pain (in all combinations); male mice similarly treated displayed unimpeded sexual motivation. Pain-induced reductions in female sexual behavior were observed in the absence of sex differences in pain-related behavior, and could be rescued by the analgesic, pregabalin, and the libido-enhancing drugs, apomorphine and melanotan-II. These findings suggest that the well known context sensitivity of the human female libido can be explained by evolutionary rather than sociocultural factors, as female mice can be similarly affected.
Improving OPTICS Algorithm with Imperialist Competitive Algorithm: Choosing Automatically Best Parameters

Clustering based on similarity is one of the most important stages in data analysis and a beneficial tool for data mining. There are a wide range of data from which a clear pattern cannot be driven using common clustering methods, data with unusual shapes. Scientists introduced density-based clustering algorithms to resolve this issue and enable clustering for this kind of data.Among all density-based clustering algorithms, Ordering points to identify the clustering structure (OPTICS) is an algorithm for finding density-based clusters in spatial data. Density-based methods describe clusters as dense areas among diffused ones. An informal definition of cluster is: “For each intra-cluster point, neighborhood with specific radius Ɛ, must contains minimum number of point’s µ. ” It’s very difficult to specify these two parameters for any types of data and needs great effort setting up them to achieve desired results.The main goal of this research is to use meta-heuristic methods especially Imperialist Competitive Algorithm (ICA) to precise estimation of these parameters (Ɛ, µ) so that we can apply them to OPTICS Algorithm to achieve accurate and high quality clusters for any data sets. In order to evaluation of mentioned method, we utilized data sets specialized for classification and removed class label. Comparing our results with original one, proved that our method is produced a precise class label.
Wearable stress monitoring system using multiple sensors

Stress in the workplace is known to be detrimental to one's physiological and psychological health. This paper proposes a wearable stress monitoring system using a body sensor network (BSN). BSNs are made up of a number of wearable/implantable biosensors that work together to perform a common task The system was accurately able to monitor the stress of an individual and display the results in an intelligible (and useful) way to the user.
New Simulation Model for Power Density of RF Waves and Its Field Verification

Simulation Models for Power Density of Radio Frequency (RF) Waves are used to ascertain compliance to EMF Standards (Electromagnetic Fields). ITU T has specified these under different accessibility criteria which are widely used and have been extended to revised EMF Standards issued in India. Field measurements of power density are carried out in case the models predict values higher than those specified in EMF Standards. The most critical area where compliance needs to be ensured is the near field region of the antenna as beyond which the path loss decay of RF Waves with distance from emitting source is large enough to ensure that Power Density is much below the Standards. Analysis of Field Measurements has been carried out which gives the result that the existing models being used lead to large scale but safe side overestimation of Power Density in this region. It is shown that a new method based on the Free Space Path Loss Model can be effectively used to estimate the Power Density in near field regions for both Macro and Micro Cells.
Characterization of circulating transfer RNA-derived RNA fragments in cattle

The objective was to characterize naturally occurring circulating transfer RNA-derived RNA fragments (tRFs) in cattle1. Serum from eight clinically normal adult dairy cows was collected, and small non-coding RNAs were extracted immediately after collection and sequenced by Illumina MiSeq. Sequences aligned to transfer RNA (tRNA) genes or their flanking sequences were characterized. Sequences aligned to the beginning of 5′ end of the mature tRNA were classified as tRF5; those aligned to the 3′ end of mature tRNA were classified as tRF3; and those aligned to the beginning of the 3′ end flanking sequences were classified as tRF1. There were 3,190,962 sequences that mapped to transfer RNA and small non-coding RNAs in the bovine genome. Of these, 2,323,520 were identified as tRF5s, 562 were tRF3s, and 81 were tRF1s. There were 866,799 sequences identified as other small non-coding RNAs (microRNA, rRNA, snoRNA, etc.) and were excluded from the study. The tRF5s ranged from 28 to 40 nucleotides; and 98.7% ranged from 30 to 34 nucleotides in length. The tRFs with the greatest number of sequences were derived from tRNA of histidine, glutamic acid, lysine, glycine, and valine. There was no association between number of codons for each amino acid and number of tRFs in the samples. The reason for tRF5s being the most abundant can only be explained if these sequences are associated with function within the animal.
Social competence in children with chronic illness: a meta-analytic review.

OBJECTIVE To conduct a meta-analysis of social competence in children with a chronic illness. METHODS The meta-analysis included 57 studies comparing levels of social competence in children with chronic illness to those of children without chronic illness. A random effects model was used to calculate overall effect, subgroup, and meta-regression analyses. RESULTS Overall, the meta-analysis calculated 90 unique outcomes, producing a summary standardized mean difference of d = -0.44, 95% confidence interval (95% CI) -0.52 to -0.36 indicating a medium overall effect for decrease social competence. Chronic illness, measure, and informant moderated social competence outcomes. CONCLUSIONS The impact of chronic illness on youth varied by individual child factors (e.g., gender, chronic illness type) and by measurement features such as informant and measure type. The current study demonstrates a need for further research of the assessment of social competence and has implications for the development of social skills programs for children with chronic illness.
Performance & probability analysis of Lightweight Identification Protocol

Lightweight cryptography is an efficient security mechanism for resource constraint devices. Cryptography is broadly classified into lightweight primitives and protocols. Lightweight protocols are further classified as identification, authentication, yoking, tag and ownership transfer etc. In this work tree based lightweight identification mechanism is proposed with probability analysis to protect the system from various attacks: mafia fraud attack and sybil attack. Performance analysis shows that Ad-hoc On demand Distance Vector (AODV) routing protocol outperforms Dynamic Source Routing (DSR) protocol for 50, 100 and 150 nodes. Percentage increase in throughput is more than 30% and decrease in delay is less than 40% for both protocols.
Systematic reviews: causes of non-adherence to P2Y12 inhibitors in acute coronary syndromes and response to intervention

To understand the factors associated with non-adherence to oral antiplatelet (OAP) therapy in acute coronary syndromes (ACS), and where interventions have modified these factors. Linked systematic reviews were undertaken in accordance with the Preferred Reporting Items for Systematic reviews and Meta-analysis guidelines, using CINAHL Plus, MEDLINE, PsycINFO and PubMed databases. The searches were limited to studies available in English and published from 2000 onwards; last run in June 2015. Review 1: factors. Fifteen articles were identified that reported 25 different factors associated with OAP non-adherence. Factors were categorised into: Demographic, Treatment, Healthcare System Processes, Clinical, Opportunity (ie, factors outside the patients, such as cost and healthcare access) and Psychosocial. It was not possible to determine if any of these factors were more impactful than others, either overall or temporally. Review 2: interventions. Six articles were identified that described interventions targeting adherence in patients with acute coronary syndromes (ACS)/coronary artery disease (CAD). Four broad categories of intervention were identified: treatment counselling and education, educational materials, SMS reminders and telephone monitoring and reinforcement delivered different practitioners. Only reminder-based interventions had a consistently successful impact on adherence outcomes at both 3 and 12 months. A number of factors are associated with OAP non-adherence, and encouragingly, there is some evidence of the effectiveness of intervention to modify treatment adherence in patients with ACS/CAD. Future evaluations ensuring a better cohesion between the factors studied as associated with non-adherence and those targeted by intervention would further increase understanding and lead to improved results.
Progress in the understanding of soundscape: objective variables and objectifiable criteria that predict acoustic comfort in urban places

Abstract The overall aim of this research was to find a group of easy-to-access variables, that are measurable or assessable, and which help predict acoustic comfort in urban places, in order to make further progress in developing a soundscape indicator based on indices readily available in urban environments. Our main conceptual framework has been the Environmental Experience Model and the ISO of Soundscape, together with the most up-to-date information and technology, where parameters that influence the soundscape and comfort in urban public places have been identified. This work has been undertaken as part of the CITI-SENSE project. A viable technical and procedural solutionwas designed and tested in a field demonstration, where 53 people were engaged to provide 120 observations in the city ofVitoria-Gasteiz, using environmental sensors connected to a smartphone. The results were analysed and are discussed here with the aim of defining an indicator that permits an easy evaluation of acoustic comfort in urban places. The results presented in this article are considered a step forward in the development of a soundscape indicator based on indices readily available in urban environments. The limitations of the findings are also discussed, as are suggestions for further research.
Asymptotic Throughput Analysis on Opportunistic Cophasing System with Single-Beam Transmission

Different from the opportunistic beamforming system (OBS) that randomizes both amplitude and phase of its beamforming vector, the opportunistic cophasing system (OCS) randomizes the phase only, which significantly reduces the demands on the dynamic range of power amplifiers. Focusing on the multi-user case of the OCS system, we give an asymptotic analysis on the system throughput under Rayleigh fading channels, based on the theory of extreme order statistics. Numerical and simulation results are presented to compare the OCS with the OBS system in throughput.
An adaptive video stabilization method for reducing visually induced motion sickness

Visually induced motion sickness (VIMS) is sometimes brought by watching video sequences acquired by handheld video cameras. We present a video stabilization method for the purpose of reducing VIMS. In our method, the scenes including oscillatory motion which can cause VIMS are selected to be stabilized. In the subjective evaluation results, the severity of VIMS is reduced.