Miracle-dz/UniFAR-FTUs huggingface dataset:
Prosiding Seminar Nasional Kesehatan Lembaga Penelitian dan Pengabdian Masyarakat

Cotton banana peel (Musa paradisiaca Linn.) has not been used by the community. Nanoparticles are solid colloidal particles with a diameter of 10-1000 nm. This study aims to make ethanol extract of cotton banana peel (Musa paradisiaca Linn.) as an active substance in the form of nanoparticles formulated in gel preparations and to determine the evaluation of cotton banana peel (Musa paradisiaca Linn.) nanoparticle gel. The method of making nanoparticles of ethanolic extract of cotton banana peel (Musa paradisiaca Linn.) in this research is ionic gelation. Nanoparticles of ethanolic extract of cotton banana peel (Musa paradisiaca Linn.) were characterized using particle size analyzer. Evaluation of gel preparations included organoleptic tests, homogeneity, pH, dispersibility, adhesion, viscosity and cycling tests. The cycling test includes organoleptic, pH and viscosity testing. Cycling test observations were carried out for 6 cycles. Characterization of nanoparticles of ethanolic extract of cotton banana peel (Musa paradisiaca Linn.) had a particle size of 220.3 nm with a polydipsia index of 0.139. Evaluation of pH preparations has a pH of 6, viscosity ranges from 7116 cps – 8095 cps, dispersion ranges from 5.1 cm to 5.4 cm, adhesion ranges from 1.11 seconds to 7.54 seconds. The results of the cycling test showed a change in the color of the preparation, while the cycling test for pH and viscosity did not change the stability. Conclusion The cotton banana peel extract (Musa paradisiaca Linn.) can be made into smaller particles or nanoparticles using the ionic gelation method and the evaluation of the nanoparticle gel preparation of the cotton banana peel (Musa paradisiaca Linn.) extract has met the requirements.
Damped Wave Equation-based Traveltime Calculation using Embedded Boundary Method for Irregular Topography

The first-arrival traveltime calculation method based on the damped wave equation overcomes the shortcomings of ray-tracing methods. Since this algorithm needs to solve the damped wave equation, numerical modeling is essential. However, it is not desirable to use the finite-difference method (FDM), which has good computational efficiency, for simulating the land seismic data because of irregular topography. Thus, the finite-element method (FEM) which requires higher computational cost than FDM has been used to correctly describe the irregular topography. In this study, we computed first-arrival traveltimes in an irregular topographic model using FDM incorporating embedded boundary method (EBM) to overcome this problem. To verify the accuracy and efficiency of the proposed algorithm, we compared our results with those of FEM. As a result, the proposed method using EBM not only provided the same accuracy as the FEM but also showed the improved computational efficiency.
The Prion Amyloid Paper

We are pleased to present a series of Annotated Classics celebrating 40 years of exciting biology in the pages of Cell. This installment revisits “Scrapie Prions Aggregate to Form Amyloid-like Birefringent Rods” by Stanley B. Prusiner. Here, Adriano Aguzzi comments on the realization that prion is an amyloid revealed by Stanley B. Prusiner, which led to the discovery that prions propagate through templated nucleation one decade later.
Absence of Na + , K +-ATPase Regulation of Endosomal Acidification in K 562 Erythroleukemia Cells

Transferrin (Tfj acidification has been shown to be limited to pH 6 in murine Balb/c 3T3 fibroblasts, human A549 epidermoid carcinoma cells, and Chinese hamster ovary cells and is followed by alkalinization during recycling. In contrast, Tf acidification in the human erythroleukemic cell line K562 proceeds to below pH 5.5, and alkalinization of internal Tf during recycling is not observed. To explore the regulation of endosomal pH in K562 cells, we determined whether the existence of an early endosome of pH 6 could be demonstrated in K562 cells. The kinetics of Tf internalization, acidification, and recycling were determined at temperatures which block recycling of Tf in 3T3 cells. As in 3T3, Tf recycling in K562 was inhibited at 24 "C and below. At these temperatures, Tf internalization and acidification were delayed relative to 37 OC, yet the minimum pH achieved was below 5.5. Temperatures at or below 19 "C resulted in a complete block in recycling (at least over 40 min), which was rapidly reversible by incubation at 37 "C. Ouabain (a specific inhibitor of the Na+,K+-ATPase) had no effect on K562 Tf acidification, indicating that K562 endosoma1 pH is probably not regulated by the Na+,K+ATPase. The results suggest that differentiation of the early endocytic pathway in erythroid cells involves changes such that the pH of Tf-containing compartments is not limited to 6 by the Na+,K+-ATPase.
Adjuvant chemotherapy of ovarian cancer using paclitaxel/cisplatin protocol in women over 70 – analysis of treatment course and toxicity

Adiuwantowa chemioterapia raka jajnika według schematu paklitaksel/cisplatyna u kobiet powyżej 70. roku życia – analiza przebiegu leczenia i toksyczności Adjuvant chemotherapy of ovarian cancer using paclitaxel/cisplatin protocol in women over 70 – analysis of treatment course and toxicity Вспомогательная химиотерапия рака яичника согласно схеме паклитаксел/цисплатин у женщин в возрасте более 70 лет – анализ процесса лечения и токсичности
Supplement : species diversity rises exponentially with the 1 number of available resources in a multi-trait competition 2 model 3

The hawk dove game originates from the field of evolutionary game theory [1]. It was originally 15 meant to model aggressive interactions, but it has subsequently found application in modeling 16 a number of other behaviors such as leadership and co-operation [2, 3]. We present the model 17 in the context of aggressive interactions with the added understanding that the same equations 18 can be used to describe a variety of other scenarios. 19 The hawk dove game considers two different kinds of agents called hawks and doves, who 20 are identical in all respects except their approach to social interactions. The hawks and doves 21 compete over resource patches which have an average added fitness value of V . The hawks and 22 doves differ in their approach to competition. When two doves meet, they split the resource 23 and each leaves with a pay-off of V 2 . When two hawks meet, they engage in a violent contest 24 over the resource, which leads the net fitness of the pair to be reduced by C. It is also assumed 25 that the average cost of the contest exceeds the value of the resource (C > V ). Therefore, a 26 hawk-hawk meeting leads to an average individual pay-off of V−C 2 . Finally, when a hawk meets 27 a dove, the aggressive tactics of the hawk scare away the dove and the hawk has a pay-off of V 28 while the dove has a pay-off of 0. 29 The population dynamics in the hawk dove game are described in terms of the frequency 30 of hawks pH and the frequency of doves pD with pH + pD = 1. As will be shown below, this 31 formulation still allows us to study co-existence while it removes the need to specify factors 32 irrelevant to co-existence such as resource dynamics, baseline effects and any lack of time33 invariance of those two effects. The evolution of the two mutants is determined by their fitness 34
Review of thickness Swell in Hardboard siding Effect of Processing Variables

Medium-density hardboard is used extensively as siding on residential structures. One hardboard behavior that can be measured in the laboratory is thickness swell after exposure to water. This report reviews the literature on processing variables that are known to or likely to influence thickness swell. Where the literature on hardboard is sparse, research on other wood composition materials is cited, with appropriate caveats relevant to hardboard. Initially prepared as technical guidance to the U.S. Department of Housing and Urban Development, this report should be of interest to anyone concerned about thickness swell of hardboard siding.
Use or Abuseof the Fluorescence PoiarlzationMeasurementof Amniotic Fluid for Determination of Fetal Lung Maturity ?

1. Speicher CE, Widish JR, Gaudot FJ, Hepler BR. An evaluation of the overestimation of serum albumin by bromcresol green. Am J Clin Pathol 69, 347-350 (1978). 2. Webster D. A study of the interaction of bromocresol green with isolated serum globulin fractions. Clin,,Chim Acta 53, 109-115 (1974). 3. Gustalhson JEC. Improved specificity of serum albumin determination and estimation of”acute phasereactants” by use of the bromcresol green reaction. Clin Chem 22, 616-622 (1976). 4. Webster D. The immediate reaction between bromcresol green and serum as a measureof albumin content. ClinChem 23, 663-665 (1977). 5. Louderback A, Mealey EH, Taylor NA. A new dye binding technic using bromcresol purple for determination of albumin in serum. Clin Chem 14, 793-794 (1968). Abstract. 6. Pinnell AE, Northain BE. New automated dye-binding method for serum albumin determination with bromcresol purple. Clin Chem 24, 80-86 (1978). 7. Willey DG, Mikolak BJ, Lantry CL, et al. Field evaluation of a bromocresolpurple method for quantification of albumin on the Du Pont aca” Discrete Clinical Analyzer. Clinical Systems Division, E.I. DuPont de Nemours & Co., Inc., Wilmington, DE 19898. 8. Doumas BT, Biggs HG. Determination of serum albumin. Standard Method-s Clin Chem 7, 175-188 (1972).
A randomized, controlled trial of a multi-modal exercise intervention in Huntingtons disease

Introduction: This study aimed to evaluate the feasibility and benefit of a structured exercise intervention in people with Huntington’s Disease (HD). Methods: This study was conducted at 6 sites, and participants were randomized into either exercise or control (usual care) groups, and were assessed at baseline, 13 and 26 weeks. The intervention was a 12 week, three times per week progressive exercise program, including aerobic (stationary cycling) and upper and lower body strengthening exercise with tapered 1:1 support for 20 of 36 sessions. Results: 314 adults were assessed for eligibility: 248 did not meet inclusion criteria, 34 declined, and 32 were recruited and randomized. Three individuals in the intervention group were withdrawn within the first month due to concomitant medical conditions, resulting in 14 participants in intervention and 15 in control groups. There were two AEs in the intervention group, both related to previous medical conditions, and there were two SAEs, both in the control group. The intervention group had better fitness (predicted VO2 max difference: 492.3 ml min 1, 95% CI: [97.1, 887.6]), lower UHDRS mMS (difference 2.9 points, 95% [ 5.42, 0.32]) and lower weight at Week 13 (difference 2.25 kg, 95% CI: [ 4.47, 0.03]). Conclusion: This study demonstrates that a short-term exercise intervention is safe and feasible. Individuals with HD may benefit from structured exercise, and intensity, monitoring and support may be key factors in optimizing response. Larger scale trials are now required to fully elucidate the extended clinical potential of exercise in HD. Trial registration: Current Controlled Trials ISRCTN11392629. © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). ences, Cardiff University, Ty
Assessment of Fungi and Bacteria Species in the Moringa oleifera Rhizosphere of Arboretum, Rivers State University

and Annona muricata (L.) of 0-35cm depth was collected using soil The fungi and bacteria isolated and identified from the Rhizosphere Rhodotorula sp, (F.C. (van Tieghem), Microsporum audouinii (J.C. Gilman and E.V. Abbot), Aspergillus . Though Aspergillus versicolor and Annona muricata. However, the bacteria isolated Moringa oleifera and Annona muricata are; Bacillus s (Schroeter and Cohn). Generally, five (5) fungi and two (2) impson’s diversity index of fungi and
Study on the system design and control method of a semi-active heave compensation system

ABSTRACT The heave compensation system is essential for the installation of subsea equipment. A new semi-active heave compensation system is designed and the control system is analysed, with the aim of solving heave movement problems during deep-water installation. The heave compensation is implemented with a pulley block system and actuated by a compound hydraulic cylinder. The control system can switch between passive compensation mode and semi-active compensation mode. The state-space equations of both modes are set up based on the mechanical and hydraulic system models of the compensation system. With the state-space equations, three control strategies are compared based on the classic Proportion Integration Differentiation (PID) control, and the limitations of PID control are also analysed. In order to avoid defects of the PID controller, the active disturbance rejection control (ADRC) technology is introduced, and a newly developed second-order ADRC controller is applied in the tension control strategy for heave compensation, which results in improved compensation effect.
Microchannel-cooled heatsinks for high-average-power laser diode arrays

Detailed performance results for an efficient and low thermal impedance laser diode array heatsink are presented. High duty factor and even cw operation of fully filled laser diode arrays at high stacking densities are enabled at high average power. Low thermal impedance is achieved using a liquid coolant and laminar flow through microchannels. The microchannels are fabricated in silicon using an anisotropic chemical etching process. A modular rack-and- stack architecture is adopted for heatsink design, allowing arbitrarily large two-dimensional arrays to be fabricated and easily maintained. The excellent thermal control of the microchannel heatsinks is ideally suited to pump array requirements for high average power crystalline lasers because of the stringent temperature demands that are required to efficiently couple diode light to several-nanometer-wide absorption features characteristic of lasing ions in crystals.
Critical role of PIP5KI (cid:1) 87 in InsP 3 -mediated Ca 2 (cid:2) signaling

hosphatidylinositol 4,5-bisphosphate (PIP 2 ) is the obligatory precursor of inositol 1,4,5-trisphosphate (InsP 3 or IP 3 ) and is therefore critical to intracellular Ca 2 (cid:2) signaling. Using RNA interference (RNAi), we iden-tiﬁed the short splice variant of type I phosphatidylinositol 4-phosphate 5-kinase (cid:1) (PIP5KI (cid:1) 87) as the major contributor of the PIP 2 pool that supports G protein–coupled receptor (GPCR)-mediated IP 3 generation. PIP5KI (cid:1) 87 RNAi decreases the histamine-induced IP 3 response and Ca 2 (cid:2) ﬂux by 70%. Strikingly, RNAi of other PIP5KI isoforms has minimal effect, even though some of these isoforms account for a larger percent of total PIP 2 mass and have previously been implicated in receptor mediated endocytosis or focal adhesion formation. Therefore, PIP5KI (cid:1) 87’s PIP 2 pool that supports GPCR-mediated Ca 2 (cid:2) signaling is functionally compartmentalized from those generated by the other PIP5KIs.
NDT_A_335274 3431..3437

1Department of Neurology, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu Province, People’s Republic of China; 2Department of Radiology, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu Province, People’s Republic of China Purpose: Few clinical indicators of a poor outcome have been defined in acute cardioembolic stroke (CES) patients. We would like to explore practical clinical factors that can predict poor outcomes of CES in the early stage. Patients and Methods: In this single-center, retrospective, observational study, 251 consecutive patients with acute CES who did not undergo reperfusion therapy were evaluated. On the basis of the modified Rankin Scale (mRS) score at 3 months, patients were divided into the good functional outcome group (mRS ≤ 2) and the poor functional outcome group (mRS ≥ 3). Risk factors were analyzed and the independent indicators for a poor outcome were identified using a binary logistic regression model. Results: One hundred (39.8%) patients had a poor outcome. Patients in the poor outcome group were significantly older (P = 0.002) and had significantly higher baseline National Institutes of Health Stroke Scale (NIHSS) score compared with those with a good outcome (P < 0.001). After adjusting for potential confounders, the baseline NIHSS score (P < 0.001), moderate to severe leukoaraiosis (P = 0.011), non-symptomatic intracranial hemorrhage (P = 0.019), stroke-associated pneumonia (P = 0.001), and fasting glucose (P = 0.040) were independent risk factors for a poor outcome. Conclusion: The short-term outcome in acute CES patients without reperfusion therapy can be predicted by using five practical clinical factors. These indicators should attract more attention.
Identifying miRNA signature for predicting and treatment of breast cancer using the transcriptomic data of 7,000 breast tumors

Omran Davarinejad Imam Khomeini and Mohammad Kermanshahi and Farabi Hospitals, Kermanshah University of Medical Sciences Payam Mohammadi Imam Khomeini and Mohammad Kermanshahi and Farabi Hospitals, Kermanshah University of Medical Sciences Davood Ghavi Tabriz University of Medical Sciences Farzaneh Golmohammadi Imam Khomeini and Mohammad Kermanshahi and Farabi Hospitals, Kermanshah University of Medical Sciences Zahra Foruzandeh Tabriz University of Medical Sciences MohammadReza Alivand Tabriz University of Medical Sciences Yazdan Rahmati (  yazdanrahmati68@gmail.com ) Imam Khomeini and Mohammad Kermanshahi and Farabi Hospitals, Kermanshah University of Medical Sciences
Personalized health monitoring via vital sign measurements leveraging motion sensors on AR/VR headsets

Augmented reality/virtual reality (AR/VR) headsets have attracted millions of users and gained predictable popularity. However, long-period usage of immersive technology may lead to health issues (e.g., cybersickness, anxiety). In this poster, we design a low-cost and personalized healthcare monitoring system grounded on vital sign tracking (i.e., breathing and heartbeat rate tracking), by exploiting built-in AR/VR motion sensors. The key insight is that the conductive vibrations induced by chest and heart movements can propagate through the user's cranial bones, thereby vibrating the AR/VR headset mounted on the user's head. To realize this system, we design signal processing techniques to cancel the human motions and derive the periods of breathing and heartbeat through frequency-domain analyses. We further design a user identification scheme based on respiratory and cardiac biometrics, which works with vital sign monitoring to provide personalized healthcare recommendations. Our experiment shows that the proposed scheme can achieve less than 5.7% error rate on breathing/heartbeat rate estimation and 95% accuracy on user identification.
Simultaneous path following and obstacle avoidance of field-tracked vehicles via model predictive control with deep deterministic policy gradient

Unmanned ground vehicles (UGVs) will be widely adopted in agricultural applications. To accomplish autonomous cruising in farm, path following is an essential skill. However, in the process of field cruising, some obstacles such as wild animals or motorcycles are present. In this study, tracked vehicles are utilized with deep deterministic policy gradient (DDPG) compensating for model uncertainties and achieving collision avoidance simultaneously. Among all, the most important issue is to keep the UGV following the predetermined path in specific agricultural field environment and coping with the uncertainty of the surroundings. Path following and obstacle avoidance of field tracked vehicles are conducted by using model predictive control (MPC) with a controller (agent) trained by DDPG. Therefore, we proposed control algorithm fusion with MPC and model-free DDPG.
Efficiently emulating high-bitwidth computation with low-bitwidth hardware

Domain-Specific Accelerators (DSAs) are being rapidly developed to support high-performance domain-specific computation. Although DSAs provide massive computation capability, they often only support limited native data types. To mitigate this problem, previous works have explored software emulation for certain data types, which provides some compensation for hardware limitations. However, how to efficiently design more emulated data types and choose a high-performance one without hurting correctness or precision for a given application still remains an open problem. To address these challenges, we present Ape, which can 1) provide different strategies for emulating high-bitwidth data types using native data types with in-depth error analysis; 2) dynamically and automatically select proper data types and generate efficient code for a given computation in fine-granularity to achieve higher performance while maintaining both correctness and precision at the same time without human efforts. We implement Ape on both NVIDIA Tensor Core and Huawei Ascend. Results show that Ape can boost General Matrix Multiplication and convolution by up to 3.12X and 1.86X on Tensor Core over CUDA Core and accelerate various applications by up to 1.78X (1.65X on average).
GAPS: GPU-acceleration of PDE solvers for wave simulation

Large-scale simulations of wave-type equations have many industrial applications, such as in oil and gas exploration. Realistic simulations, which involve a vast amount of data, are often performed on multiple nodes of an HPC cluster. Using GPUs for these simulations is attractive due to considerable parallelizability of the algorithms. Many industry-relevant simulations have characteristics in their physics or geometry that can be exploited to improve computational efficiency. Furthermore, the choice of simulation algorithm impacts computational efficiency significantly. In this work, we exploit these features to significantly improve performance for a class of problems. Specifically, we use the discontinuous Galerkin (DG) finite element method, along with the Gauss-Lobatto-Legendre (GLL) integration scheme on hexahedral elements with straight faces, which then greatly reduces the number of BLAS operations, and simplify the computations to Level-1 BLAS operations, reducing the turn around time for wave simulation. However, attaining peak performance of GPUs is often not possible in these codes that exacerbate bottlenecks caused by data movement, even when modern GPUs enjoying the latest high-bandwidth memory are being used. We have developed GAPS, an efficient and scalable, GPU-accelerated PDE solver for Wave Simulation, by using hardware-and data-movement-aware algorithms. While significant speed-up over CPUs can be achieved, data movement still limits GPU performance. We present several optimization strategies, including kernel fusion, Look-Up-Table-based neighbor search, improved shared memory utilization, and SM-occupancy-aware register allocation. They improve performance up to 84.15x over CPU implementations and 1.84x over base GPU implementations on average. We then extend GAPS to support multi-GPUs on multi-node HPC clusters for large-scale wave simulations, and perform additional optimizations to reduce communication overhead. We also investigate the performance of several MPI libraries in order to fully overlap communication and computation. We are able to reduce the communication overhead by 70%, and achieve weak-scaling over 128 GPUs.