Miracle-dz/UniFAR-FTUs huggingface dataset:
Predictors of Quality of Life of Persons with Physical Disabilities in Indonesia

Purpose: Indonesia lacks policies and programmes that would reduce barriers towards improving the Quality of Life (QOL) of persons with disabilities. This cross-sectional study assessed the QOL of persons with physical disabilities in Indonesia and identified its predictors. Method: A total of 202 participants with physical disabilities completed the attitude subscale of Craig Hospital Inventory of Environmental Factors-Short Form (CHIEF-SF), the World Health Organisation Disability Assessment Schedule 2.0 (WHODAS 2.0), and the World Health Organisation Quality of Life (WHOQOL-BREF) scale. The Rasch model converted the ordinal data to the interval logits scale. Multiple linear regression was used to analyse the QOL predictors. Results: Participants reported a mean WHOQOL-BREF score of 0.12+0.98 (or poor QOL). The participants perceived people’s attitudes as impactful barriers (-1.68 ± 1.44). There was a significant difference in participants’ mean WHODAS 2.0 scores with poor (-0.38 ± 1.06) and good QOL (-1.79 ± 0.77). The regression revealed the following significant QOL predictors: severe disability (B = −1.089), moderate disability (B= −0.697), employment (B = 0.544), attitude barrier (B = −0.096), and age (B = −0.015). Conclusion: Factors such as unemployment,
Journal of Sports Medicine and Allied Health Sciences: Official Journal of Sports Medicine and Allied Health Sciences: Official Journal of the Ohio Athletic Trainers Association Journal of the Ohio Athletic Trainers Association

Introduction: The noted prevalence of depressive and anxious symptomology both pre-injury and post-injury in collegiate athletes raises concern regarding their ability to maintain appropriate rehabilitation adherence in their recovery from sports injury. The purpose of this study was to further explore the effect of depressive and anxious collegiate athlete symptoms on athletic trainers’ perceptions of rehabilitation adherence and return-to-play. Methods: NCAA Division II and Division III injured collegiate athletes (N = 19, M age = 20.58 ± 1.31) were observed throughout their rehabilitation programs by 5 separate collegiate athletic trainers. Collegiate athlete depressive and anxious symptoms were assessed during preseason retroactively, at the beginning of rehabilitation, and at clearance for full sports participation. Individual athletic trainers most responsible for the rehabilitation programming of their respective collegiate athletes were asked to provide their perceptions of rehabilitation adherence at the end of the programs. Depressive and anxious symptoms were measured with the use of the Hospital Anxiety and Depression Scale, and athletic trainer perceptions were measured using the Rehabilitation Adherence Measure for Athletic Training. Results: Significant differences were found between the mean symptom scores of HADS 1 and HADS 2 (P = .001) and the mean symptom scores of HADS 1 and HADS 3 (P = .004), thus indicating that depressive and anxious symptoms increased post-injury, but they did not return to preseason levels upon clearance for full sports participation. Collegiate athletes with less depressive and anxious symptoms took on average 70.33 ± 19.87 less days than their more depressed and anxious counterparts to recover from sports injury (P = .010). Depressive and anxious symptoms did not influence the perceptions that the athletic trainers shared relevant to rehabilitation adherence. Discussion: Injured collegiate athletes may be physiologically ready to return to sport far sooner than they are psychologically ready. Collegiate athletic trainers should make a conscious effort to improve the effectiveness of their currently utilized psychosocial interventions to better address the patient depressive and anxious symptoms that they may not be as cognizant of in the rehabilitation process, given the importance of appropriate rehabilitation adherence in producing positive outcomes.
: Docking study of Thippili Rasayanam Against Coronavirus Disease-19

The pandemic of coronavirus disease-19 involved various traditional medical formulations as therapeutics for treatment along with boosting the immunity to overcome the crisis. Thippili rasayanam was one among the medicines recommended by the Ministry of Ayurveda, Yoga, Unani, Siddha and Homoeopathy for coronavirus disease-19 in Siddha. In spite of the effectiveness, its role against the virus target was not clarified. As a consequence, the present docking study was performed to know its action against inhibition of the target enzyme ribonucleic acid-dependent ribonucleic acid polymerase. The phytocomponents of the herbs present in the formulation were retrieved through literature survey and in silico docking analysis was performed through Auto dock tool. The lead molecules were identified with respect to the target protein and the best dock pose was selected based on the molecular interaction. The phytocomponents epicatechin, myrcene, hyoscyamide, piperic acid, piperine and zingiberene, of the formulation Thippili rasayanam revealed maximum 3 interactions while betulonic acid, eucalyptol, galangin, p-thymol and ellagic acid showed 2 interactions with the active binding site of the target enzyme ribonucleic acid-dependent ribonucleic acid polymerase. Docking results suggest, the formulation Thippili rasayanam has potential inhibiting action against coronavirus disease-19 by reducing the viral replication.
Measuring Three-Dimensional Damage in Concrete under Compression

To study the relationship between surface and internal cracking, 2 high-resolution, non-destructive evaluation techniques were used to measure crack growth caused by compressive loading in the fracture process of cement-based materials. Digital image correlation (DIC) was used to characterize the 2-D, surface fracture pattern, while 3-D, internal behavior was measured with x-ray microtomography (XMT). Rectangular mortar specimens containing both sand and graphite aggregates were examined. These techniques gave complementary information about crack geometry and development: DIC was more effective at determining crack width and location of small cracks, while XMT depicted the shape of larger cracks more successfully and showed the influence of internal features on the fracture process. The effect of aggregate shape and strength and the subsequent influence of increased crack distribution on ductility are discussed.
CLEAR: A Consistent Lifting, Embedding, and Alignment Rectification Algorithm for Multi-Agent Data Association

A fundamental challenge in many robotics applications is to correctly synchronize and fuse observations across a team of sensors or agents. Instead of solely relying on pairwise matches among observations, multi-way matching methods leverage the notion of cycle consistency to (i) provide a natural correction mechanism for removing noise and outliers from pairwise matches; (ii) construct an efficient and low-rank representation of the data via merging the redundant observations. To solve this computationally challenging problem, state-of-the-art techniques resort to relaxation and rounding techniques that can potentially result in a solution that violates the cycle consistency principle. Hence, losing the aforementioned benefits. In this work, we present the CLEAR algorithm to address this issue by generating solutions that are, by construction, cycle consistent. Through a novel spectral graph clustering approach, CLEAR fuses the techniques in the multi-way matching and the spectral clustering literature and provides consistent solutions, even in challenging high-noise regimes. Our resulting general framework can provide significant improvement in the accuracy and efficiency of existing distributed multi-agent learning, collaborative SLAM, and multiobject tracking pipelines, which traditionally use pairwise (but potentially inconsistent) correspondences.
The impact of slash management, fertilisation and vegetation management on Pinus elliottii pulpwood growth and rotation-end yield

Intensive silviculture (re-establishment) is practised within South African plantations to increase the potential productivity per unit area. Rotation-end productivity benefits are not well documented to support intensive inputs. A trial investigating rotation-end (17 years) impacts of slash management (clear, single and double slash loads), fertilisation (fertiliser applied versus no fertiliser applied) and vegetation management (none versus continuous weeding) was implemented on Pinus elliottii grown in Mpumalanga, South Africa. Competitive vegetation cover abundance and biomass, soil and foliar nutrients, and tree survival, growth and uniformity were recorded. The biomass sampled indicated a relationship between slash management and fertilisation with the vegetation biomass highest within the treatments where slash was cleared in combination with fertiliser application (4 398.7 kg ha−1) and within double slash treatments in combination with no fertiliser application (4 698.0 kg ha−1). Of all the main factors, only vegetation management significantly improved tree survival and growth (height, Dbh, basal area and volume) at rotation-end. Vegetation management improved survival by 9.4%, resulting in 67.5 m3 ha−1 more volume than in treatments where no vegetation management was carried out post-planting. This trial has highlighted the importance of vegetation management on rotation-end P. elliottii productivity.
Multiobjective differential evolution for scheduling workflow applications on global Grids

Most algorithms developed for scheduling applications on global Grids focus on a single Quality of Service (QoS) parameter such as execution time, cost or total data transmission time. However, if we consider more than one QoS parameter (e.g. execution cost and time, which may be in conflict) then the problem becomes more challenging. To handle such scenarios, it is convenient to use heuristics rather than a deterministic algorithm. In this paper, we have proposed a workflow execution planning approach using Multiobjective Differential Evolution (MODE). Our goal was to generate a set of trade‐off schedules according to two user specified QoS requirements (time and cost), which will offer more flexibility to users when estimating their QoS requirements. We have compared our results with a well‐known baseline algorithm ‘Pareto‐archived Evolutionary Strategy (PAES)’. Simulation results show that the modified MODE is able to find significantly better spread of compromise solutions compared with that of PAES. Copyright © 2009 John Wiley & Sons, Ltd.
A Review of Robots, Perception, and Tasks in Precision Agriculture

: This review reports the recent state of the art in the ﬁeld of mobile robots applied to precision agriculture. After a brief introduction to precision agriculture, the review focuses on two main topics. First, it provides a broad overview of the most widely used technologies in agriculture related to crop, ﬁeld, and soil monitoring. Second, the main robotic solutions, with a focus on land-based robots, and their salient features are described. Finally, a short case study about a robot developed by the authors is introduced. This work aims to collect and highlight the most signiﬁcant trends in research on robotics applied to agriculture. This review shows that the most studied perception solutions are those based on vision and cloud point detection and, following the same trend, most robotic solutions are small robots dedicated exclusively to monitoring tasks. However, the robotisation of other agricultural tasks is growing.
Enzyme activity in soil after different procedures for managing rice straw

espanolLa quema de la paja de arroz en Valencia, tercera ciudad espanola, esta causando severos problemas. Diversas practicas de manejo como la retirada, la incorporacion al suelo o el compostaje de la misma estan siendo ensayadas como alternativas a la quema. Para el estudio de los cambios que estas practicas generan en algunas propiedades biologicas de los suelos se han realizado dos ensayos en parcelas experimentales. El primer ensayo compara la retirada, quema e incorporacion de la paja, como distintas formas de manejo de la misma, y el segundo ensayo evalua el efecto de la aplicacion de un compost de paja de arroz en el suelo del arrozal. No se encontraron diferencias estadisticamente significativas en las medidas de actividad biologica en ninguno de los dos ensayos, indicando que la modalidad de manejo de la paja tan solo induce pequenos cambios en el suelo. Sorprendentemente, la quema no afecto a las actividades enzimaticas ni a la biomasa microbiana del suelo, ya que no se observaron diferencias entre tratamientos, o puede que se recuperaran los niveles usuales en pocos meses. Asimismo, en el ensayo de la aplicacion del compost de la paja de arroz, se observo una ligera variacion en la actividad deshidrogenasa, pero aparentemente no le afectaron ni la dosis de compost aplicada ni la combinacion conjunta de fertilizacion mineral y fertilizacion organica. Sin embargo, la actividad fosfomonoesterasa parecio incrementar de forma paralela con las dosis aplicacion de compost/fertilizacion mineral. EnglishSevere problems are caused by site burning of rice straw in Valencia, the third largest Spanish city. Removal, incorporation or composting are being tested as alternatives to burning, and the changes they produce in selected soil biological properties have been studied in two field trials. One compares removal, burning and incorporation the straw, and a second evaluates the application of straw-derived compost for rice production. No statistically-significant effects on the measured indicators of biological activity were found in either experiment, indicating that management-induced changes are small. Unexpectedly, burning did not affect negatively enzyme activities or microbial biomass contents since there were no differences between treatments, or usual levels were recovered in a few months. The changes induced by straw removal or incorporation were also not statistically significant. When straw-derived compost applications were assayed, dehydrogenase activity was slightly variable and apparently unaffected by N and compost rates or compost/mineral N combinations, but phosphomonosterase activity seems to increase parallel to compost to mineral N ratio
COMO: Widening Deep Neural Networks with COnvolutional MaxOut

In this paper, we extend the classic MaxOut strategy, originally designed for Multiple Layer Preceptors (MLPs), into COnvolutional MaxOut (COMO) — a new strategy making deep convolutional neural networks wider with parameter efficiency. Compared to the existing solutions, such as ResNeXt for ResNet or Inception for VGG-alikes, COMO works well on both linear architectures and the ones with skipped connections and residual blocks. More specifically, COMO adopts a novel split-transformmerge paradigm that extends the layers with spatial resolution reduction into multiple parallel splits. For the layer with COMO, each split passes the input feature maps through a 4D convolution operator with independent batch normalization operators for transformation, then merge into the aggregated output of the original sizes through max-pooling. Such a strategy is expected to tackle the potential classification accuracy degradation due to the spatial resolution reduction, by incorporating the multiple splits and max-pooling-based feature selection. Our experiment using a wide range of deep architectures shows that COMO can significantly improve the classification accuracy of ResNet/VGGalike networks based on a large number of benchmark datasets. COMO further outperforms the existing solutions, e.g., Inceptions, ResNeXts, SE-ResNet, and Xception, that make networks wider, and it dominates in the comparison of accuracy versus parameter sizes.
Slow‐Growing and Extended‐Duration Seismicity Swarms: Reactivating Joints or Foliations in the Cahuilla Valley Pluton, Central Peninsular Ranges, Southern California

Three prolific earthquake swarms and numerous smaller ones have occurred since 1980 in the Mesozoic igneous plutonic rocks of the Perris block of the Peninsular Ranges, Southern California. The major swarms occurred in 1980–1981, 1983–1984, and 2016–2018, with the latest swarm still ongoing. These swarms have no clear mainshock, with the largest events of ML 3.6, ML 3.7, and Mw 4.4. Each successive swarm had larger cumulative seismic moment release with about 314 and 411 events of M ≥ 1.5, while the third swarm has produced about 451 events of M ≥ 1.5 (as of September 2018). The concurrent strike‐slip faulting occurred on north to northwest striking planes but with no orthogonal northeast trending seismicity alignments. These shallow swarms are probably driven by intrablock Pacific‐North America plate boundary stress loading of the two bounding major late Quaternary strike‐slip faults, the Elsinore and San Jacinto faults. The state of stress within the Cahuilla Valley pluton has a ~40° angle between the maximum principal stress and the average trend of the swarms, suggesting that migrating pore fluid pressures aid in the formation and growth of zones of weakness. These swarms, which last more than 600 days each, exhibit clear bilateral spatial migration for distances of up to ~7–8 km and reach their full length in about 20 months. The slow spatial‐temporal development of the swarms corresponds to a fluid diffusivity of 0.006 to 0.01 m2/s, consistent with very low permeability rocks as expected for this block. There is no geodetic or other evidence for a slow slip event driving the swarms.
A Distributed Multi-facet Search Engine of Microblogs Based on SolrCloud

Microblog services, such as Twitter and Weibo in China, has become a new yet powerful information dissemination channel. More than 500 million tweets are sent every day. The extraordinary large number of messages brings new challenges to conventional search paradigms: a message might be relevant to the query in many aspects, for example the content, time and location of a message. Furthermore, there might be a large number of such relevant messages. In order to address these challenges, we designed a multi-facet distributed microblog search system using off-the-shelf open source frameworks including SolrCloud, Hadoop and Zookeeper. The system was then populated with real world messages collected from the most popular microblog website in China: Sina Weibo. We compared the performances of the standalone and the distributed version of the system. Empirical experimental results showed both effectiveness and efficiency of the proposed system in retrieving large scale microblog messages.
Suburbanization of jobs and the journey to work : a submarket analysis of commuting in the San Francisco Bay Area

In recent years, a debate has brewed over whether the decentralization of employment has been beneficial from a regional standpoint. This article focuses on one aspect of the debate: how the relocation of office workers from a downtown to a suburban location affects commuting patterns and mode choice. From a survey of 320 former downtown San Francisco workers who now work in the suburbs, it was found that the average travel distance remained essentially unchanged and that the average commuting speed increased. The most dramatic change, however, was the switch from public transit to drive-alone commuting. In the aggregate, it can be estimated that the change in job location was associated with nearly a threefold increase in vehicle miles traveled to work. While from a personal standpoint, employees should be better off since they got to work faster and more comfortably, from a larger social and environmental perspective, the costs could be significant. More detailed analyses of commuter submarkets revealed that the transportation impacts vary considerably depending on whether the original residence was in the suburbs or central city and whether relocated workers had moved their residences in recent years. In general, those who remained in San Francisco and became reverse commuters were worst off whereas those who moved their residences out of the city were much better off in terms of job access. The article concludes that road pricing would be the best way to force motorists to internalize the external costs of increased drive-alone commuting. Second-best options would be to introduce development impact fees or employer-based trip reduction regulations.
RESEARCH Obesity, Diabetes and Energy Homeostasis Thyroid hormone-stimulated increases in PGC-1 (cid:2) and UCP2 promote life history-speciﬁc endocrine changes and maintain a lipid-based metabolism

Thyroid hormone-stimulated increases in PGC-1 (cid:2) and UCP2 promote life history-speciﬁc endocrine changes and maintain a lipid-based metabolism. Am J Physiol Regul Integr Physiol (THs) regulate metabolism, but are typically suppressed during times of stressful physiological conditions, including fasting. Interestingly, prolonged fasting in northern elephant seal pups is associated with reliance on a lipid-based metabolism and increased levels of circulating THs that are partially attributed to active secretion as opposed to reduced clearance. This apparent paradox is coupled with comple-mentary increases in cellular TH-mediated activity, suggesting that in mammals naturally adapted to prolonged fasting, THs are necessary to support metabolism. However, the functional relevance of this physiological paradox has remained largely unexplored, especially as it relates to the regulation of lipids. To address the hypothesis that TSH-mediated increase in THs contributes to lipid metabolism, we infused early and late-fasted pups with TSH and measured several key genes in adipose and muscle, and plasma hormones associated with regulation of lipid metabolism. TSH infusion increased the mRNA expressions of peroxisome proliferator-activated receptor gamma co-activator-1 (cid:2) (PGC-1 (cid:2) ) more than 6.5-fold at 60 min in muscle, and expression of uncoupling protein 2 (UCP2) more than 27-fold during the early fast at 60 min, in adipose. Additionally, during the late fast period, the protein content of adipose CD36 increased 1.1-fold, and plasma nonesteriﬁed fatty acid (NEFA) concentrations increased 25% at 120 min, with NEFA levels returning to baseline after 24 h. We show that the TSH-induced increases in THs in fasting pups are functional and likely contribute to the maintenance of a lipid-based metabolism. Changes were considered signiﬁcantly different at P (cid:7) 0.05. Statistical analyses were performed using R software. that in fasting duration enable life facilitating the survival of northern elephant seal pups of adaptive fasting.
Journal of Economic Behavior & Organization Credit Card Borrowing and the Monoamine Oxidase a (maoa) Gene

JEL classification: D14 D91 G02 Keywords: Credit card borrowing Present-biased time preferences MAOA gene Genetic association study a b s t r a c t Using a discovery and replication sample from a U.S. representative data set, we show that a functional polymorphism on the MAOA gene is associated with credit card borrowing behavior. For the combined sample of approximately 12,000 individuals we find that having one or both MAOA alleles of the less transcriptionally efficient type raises the average likelihood of reporting credit card debt by about 4%. These results suggest that behavioral models benefit from integrating genetic variation and that economists should consider the welfare consequences of possible discrimination by lenders on the basis of genotype.
Corticospinal tract asymmetry and handedness in right-and left-handers by diffusion tensor tractography

Cerebral hemispheres represent both structural and functional asymmetry, which differs 33 among right-and left-handers. The left hemisphere is specialized for language and task 34 execution of the right hand in right-handers. We studied the corticospinal tract in right-and 35 left-handers by diffusion tensor imaging and tractography. The present study was aimed at 36 revealing a morphological difference resulting from a region of interest (ROI) obtained by 37 functional MRI (fMRI).