Transferable Pedestrian Motion Prediction Models at Intersections

One desirable capability of autonomous cars is to accurately predict the pedestrian motion near intersections for safe and efficient trajectory planning. We are interested in developing transfer learning algorithms that can be trained on the pedestrian trajectories collected at one intersection and yet still provide accurate predictions of the trajectories at another, previously unseen intersection. We first discussed the feature selection for transferable pedestrian motion models in general. Following this discussion, we developed one transferable pedestrian motion prediction algorithm based on Inverse Reinforcement Learning (IRL) that infers pedestrian intentions and predicts future trajectories based on observed trajectory. We evaluated our algorithm on a dataset collected at two intersections, trained at one intersection and tested at the other intersection. We used the accuracy of augmented semi-nonnegative sparse coding (ASNSC), trained and tested at the same intersection as a baseline. The result shows that the proposed algorithm improves the baseline accuracy by 40% in the non-transfer task, and 16% in the transfer task

Assessment of physical risk factors among artisans using occupational repetitive actions and Nordic questionnaire

Aims: The aims of present study is to determine the level of exposure to physical risk factors of work related repetitive movements in the upper limbs among the artisans in Isfahan, using occupational repetitive actions index and the Nordic Questionnaire. Material and Methods: In this cross-sectional study, the study population consisted of 94 males employed in Artisan production. The tools that be used for assessing physical ergonomic risk factors among artisans was Nordic Questionnaire and OCRA index. The different handicraft tasks and work activities included: Simple etching, embossing, reticular embossing, enameling, tiling, illumination, inlay, copper smithing and, miniature painting have been chosen for the study. The Study was carried out on the both left and right hands. The results were analyzed by statistical tests included Chi square, Kruskal Wallis and one-way variance analysis. Results: The highest OCRA index score was related to simple etching job, and the other tasks such as embossing, copper smithing, reticular embossing, tiling, miniature painting, and illumination were in lower risk category. Our finding showed that there are a significant difference between OCRA scores of the various jobs (P value < 0.001), and also the relationship between OCRA index and the type of jobs was statistically significant (P value < 0.001). Risk level in the right hand was significantly higher than the left hand (P value < 0.001). Moreover, in both right and left hands, OCRA index was different among several types of jobs (P value < 0.001). Conclusion: Our assessment showed that in overall there are different physical risk factors among artisans which make them susceptible to musculoskeletal disorders

Robustness Analysis of Neural Networks via Efficient Partitioning with Applications in Control Systems

Neural networks (NNs) are now routinely implemented on systems that must operate in uncertain environments, but the tools for formally analyzing how this uncertainty propagates to NN outputs are not yet commonplace. Computing tight bounds on NN output sets (given an input set) provides a measure of confidence associated with the NN decisions and is essential to deploy NNs on safety-critical systems. Recent works approximate the propagation of sets through nonlinear activations or partition the uncertainty set to provide a guaranteed outer bound on the set of possible NN outputs. However, the bound looseness causes excessive conservatism and/or the computation is too slow for online analysis. This paper unifies propagation and partition approaches to provide a family of robustness analysis algorithms that give tighter bounds than existing works for the same amount of computation time (or reduced computational effort for a desired accuracy level). Moreover, we provide new partitioning techniques that are aware of their current bound estimates and desired boundary shape (e.g., lower bounds, weighted $\ell_\infty$-ball, convex hull), leading to further improvements in the computation-tightness tradeoff. The paper demonstrates the tighter bounds and reduced conservatism of the proposed robustness analysis framework with examples from model-free RL and forward kinematics learning

The effect of 2 mMol glutamine supplementation on HSP70 and TNF-α release by LPS stimulated blood from healthy children.

OBJECTIVE: Glutamine has been shown to promote heat shock protein 70 (HSP70) release both within experimental in vitro models of sepsis (2-10 mM) and in adults post trauma (0.5 g/kg), although the efficacy varies and is dependent on the model used. The effect of glutamine supplementation on HSP70 release in children is less clear. Therefore, the aim of this study was to investigate the effect of 2 mM glutamine added to incubation media on HSP70 and inflammatory mediator release in an in vitro model of paediatric sepsis using whole blood from healthy paediatric volunteers. METHODS: An in vitro whole blood endotoxin stimulation model using 1 μg/ml lipopolysaccharide (LPS) over a 24 h time period was used to investigate the effects of 2 mM glutamine on HSP70 and inflammatory mediator release in healthy children. RESULTS: The addition of 2 mM glutamine to the incubation media significantly increased HSP70 release over time (p < 0.05). This was associated with an early pro-inflammatory effect on TNF-α release at 4 h (p < 0.005) which was not seen at 24 h. There was a non significant trend towards higher levels of IL-6 and IL-10 following the addition of 2 mM glutamine, which appears to differ from the response reported in adult and animal models. CONCLUSION: Glutamine supplementation of incubation media promotes HSP70 and early TNF- α release in an in vitro model using blood samples from healthy children.This is the author accepted manuscript. The final version is available via Elsevier at http://dx.doi.org/10.1016/j.clnu.2014.12.00

Rancang Bangun Aplikasi Pengolahan Angka Kredit Jabatan Fungsional Pustakawan pada Badan Perpustakaan dan Kearsipan Provinsi Jawa Timur

One of the main causes for low level filing of promotion on the functional position librarian at the Library and Archives of East Java Province is evidence record activites after activities have been carried out, haven\u27t been stored properly. So happen discrepancy between the evidence activites with activities that have been carried out, when needed in the calculation of credit score. Than problem and analysis of the librarian data that is available, they need applications that can store evidence of activities in accordance with the activities they have done. In additional they also need applications that can be used to plan their activities beginning of each year as they have to achieve targets. While on the side of the official appraiser, needed an application that could be used to calculate the activity evidence of librarian accordance with ministerial decree number 9 in 2014 and accompanied the supervision of the official appraiser. The trial results of the application shows that the system is able to work according to function, such as: can be used to assist librarians in terms of storage and documentation of evidence of activities that have been carried out in accordance with the SKP that had been developed at the beginning of the period, can propose activities and displays the target the number of credits that must be achieved librarians, and can present the required reports related partie

FIRST-line support for Assistance in Breathing in Children (FIRST-ABC): protocol for a multicentre randomised feasibility trial of non-invasive respiratory support in critically ill children.

INTRODUCTION: Over 18 000 children are admitted annually to UK paediatric intensive care units (PICUs), of whom nearly 75% receive respiratory support (invasive and/or non-invasive). Continuous positive airway pressure (CPAP) has traditionally been used to provide first-line non-invasive respiratory support (NRS) in PICUs; however, high-flow nasal cannula therapy (HFNC), a novel mode of NRS, has recently gained popularity despite the lack of high-quality trial evidence to support its effectiveness. This feasibility study aims to inform the design and conduct of a future definitive randomised clinical trial (RCT) comparing the two modes of respiratory support. METHODS AND ANALYSIS: We will conduct a three-centre randomised feasibility study over 12 months. Patients admitted to participating PICUs who satisfy eligibility criteria will be recruited to either group A (primary respiratory failure) or group B (postextubation). Consent will be obtained from parents/guardians prior to randomisation in 'planned' group B, and deferred in emergency situations (group A and 'rescue' group B). Participants will be randomised (1:1) to either CPAP or HFNC using sealed, opaque envelopes, from a computer-generated randomisation sequence with variable block sizes. The study protocol specifies algorithms for the initiation, maintenance and weaning of HFNC and CPAP. The primary outcomes are related to feasibility, including the number of eligible patients in each group, feasibility of randomising >50% of eligible patients and measures of adherence to the treatment protocols. Data will also be collected on patient outcomes (eg, mortality and length of PICU stay) to inform the selection of an appropriate outcome measure in a future RCT. We aim to recruit 120 patients to the study. ETHICS AND DISSEMINATION: Ethical approval was granted by the National Research Ethics Service Committee North East-Tyne&Wear South (15/NE/0296). Study findings will be disseminated through peer-reviewed journals, national and international conferences. TRIALS REGISTRATION NUMBER: NCT02612415; pre-results

PERENCANAAN INSTALASI PENERANGAN PADA GEDUNG KULIAH DIPLOMA IV POLITEKNIK NEGERI SRIWIJAYA

The college Diploma IV in State Polytechnic of Sriwijaya is a building for learning and teaching that has three floor. In this building has total power as big as 79.041 VA, the division of connected power for ground floor with total power on phase R is 10682 VA, mean while for total power on phase S is 1660 VAfor lighting and phase T has total power in amount of 13627 VAfor lighting. Over all of total power on phase R,S, and T as big as 25969 VA, on the other hand the division of connected power for ground and second floor that total power on phase R is 8365 VA, on the other side for total power on phase S is 10276 VA for lighting, and phase T has total power in amount of 7895 VA for lighting. Over all of total power on phase R, S and T is as big as 26536 VA. The safeguard who needed in the building is 228 A, settling of electricity spot has needed in every part of space is 6 electrical spot. The cable size that used is NYM 3 x 2,5 mm2 and the measurement of feeder cable that used is NYY 4 x 70 mm2 + BC 4 m2

Moderate Attitude in Conflict Resolution Between Religions (Study of Tafsir Al-Azhar, An-Nur, and Al-Mishbah)

Indonesia is a unitary state with a heterogeneous population consisting of various ethnic groups, religions, races, and groups (SARA). Indonesian society with this diversity, has the potential to cause friction or conflict. Indonesian mujtahids who interpret the Qur'an offer conflict resolution efforts in their commentary books. This paper aims to explore the moderate attitude as an effort to resolve the Indonesian conflict in Tafsir Al-Azhar, An-Nur, and Al-Mishbah. This research is classified as library research with analytical descriptive nature. Treating everyone fairly and being tolerant of differences that are not related to faith and promoting peace are moderate attitudes offered by Indonesian commentators as an effort to resolve conflicts.