Miracle-dz/UniFAR-FTUs huggingface dataset:
An Efficient Label Routing on High-Radix Interconnection Networks

Cost-effective adaptive routing has a significant impact on overall performance for high-radix hierarchical topologies, such as Dragonfly, which achieve a lower network diameter than traditional topologies, Torus and Fat tree, but exhibit a lower degree of adaptiveness for shortest-path rout- ing. Existing adaptive routing methods for those hierarchical topologies improve the adaptiveness by increasing path length, i.e. local or global adaptive routing, and thus suffer from complex and costly deadlock avoidance. This work aims to maximize the routing adaptiveness at the minimum cost of deadlock avoidance. We propose a label routing method for high-radix hierarchical networks. This label routing utilizes a co-design methodology and coordinates the two pipelines, input queue and routing computation, in the router microarchitec- ture. Packets in the input buffer are labeled by our routing algorithm depending on network states. We reorganize the input buffer and develop a label routing algorithm, named Green-Red Routing, GRR. GRR relaxes the requirement of using virtual channels to eliminate routing deadlock, and mitigates buffer resources dedicated to deadlock avoidance. GRR manages the buffer resources and balance its utilization elaborately, and achieve fully adaptive routing efficiently. We conduct extensive experiments to evaluate the performance of GRR on Dragonfly and compare it with state-of-the-art works. The results show that GRR achieves 10%–35% higher performance than existing routing algorithms under most traffic patterns.
Treatment Strategy for Irreparable Rotator Cuff Tears

Recently, patients with shoulder pain have increased rapidly. Of all shoulder disorders, rotator cuff tears (RCTs) are most prevalent in the middle-aged and older adults, which is the primary reason for shoulder surgery in the population. Some authors have reported that up to 30% of total RCTs can be classified as irreparable due to the massive tear size and severe muscle atrophy. In this review article, we provide an overview of treatment methods for irreparable massive RCTs and discuss proper surgical strategies for RCTs that require operative management.
Mortality in Women Treated With Assisted Reproductive Technology—Addressing the Healthy Patient Effect

In previous studies, investigators have reported reduced mortality among women undergoing assisted reproductive technology (ART) treatment, possibly related to selection of healthy women into ART treatment. Our aim in this study was to explore the impact of relevant selection factors on the association between ART treatment and mortality and to explore effect modification by parity. Women treated with ART in fertility clinics in Denmark during 1994-2009 (n = 42,897) were age-matched with untreated women from the background population (n = 204,514) and followed until December 31, 2010. With adjustment for relevant confounders, the risk of death was lower among ART-treated women during the first 2 years after ART treatment (hazard ratio (HR) = 0.68, 95% confidence interval (CI): 0.63, 0.74), but there was no apparent difference after 10 years (HR = 0.92, 95% CI: 0.79, 1.07). Having children prior to ART treatment was associated with markedly reduced mortality (HR = 0.45, 95% CI: 0.38, 0.53), possibly due to better health among fertile women. While the frequencies of previous medical and psychiatric diagnoses among ART-treated and untreated women were similar, differences in disease severity could explain the reduced mortality among ART-treated women, as poor prognosis would make initiation of ART treatment unlikely. The survival advantage among ART-treated women is likely a selection phenomenon rather than a biological phenomenon.
A Reinforcement Learning Approach to Autonomous Speed Control in Robotic Systems

Model-free reinforcement learning techniques have been successfully used in diverse robotic applications. In this paper, we design and implement the Q-learning algorithm, a widely used model-free algorithm to find the optimal speed control function for a fast moving train on a fixed track. The goal is to allow for the train to learn the fastest speed profile it may use on a track, without derailment. We contrast the performance of the learning algorithm with the performance of the human controlling trying to perform the same task. In order the test the proposed algorithm, a complete hardware and software testbed has been designed and implemented, allowing for the evaluation of the learning models over a physical environment. We conclude that in simple tasks, the performance on humans in speed control is similar to the performance of the reinforcement learning algorithm, but when a more complex track is considered, the proposed reinforcement learning learning models outperforms the humans.
An OpenCL based Offloading Framework for High Performance Remote Execution of GPGPU Application 박세진 , 마정현 , 박찬익

In this paper, we propose the framework that enables a local GPGPU application to run in remote site by offloading to support the system which does not have the GPGPU or has low performance GPGPU. This framework sends the invoked APIs from the application to the remote site using the newly defined remote transmission library instead of the original OpenCL library. In the remote site, the execution results of the received APIs are sent to the local machine. Since these results are transferred to the user application through the remote transmission library in the local site, the application is guaranteed the remote execution transparently. The prototype of this framework supports OpenCL version 1.1 and it does not require any modification of the application when it runs in the remote site. The experimental results for remote execution have shown that it performs maximum 4.9 times better than local execution using various Matrix Multiplication size and maximum 3.2 times better than local execution using the LavaMD workload. 키워드: 원격 수행, GPGPU, OpenCL, CUDA Keyword: remote execution, GPGPU, OpenCL, CUDA 논문투고일자 : 2013. 03. 31 심사일자 : 2013. 03. 30 게재확정일자 : 2013. 04. 23 【논 문】 한국차세대컴퓨팅학회 논문지 2013년 4월
The Quest to Optimize Pediatric Interhospital Transport.

Pediatric Critical Care Medicine www.pccmjournal. org 591 16. Roozendaal B, McReynolds JR, McGaugh JL: The basolateral amygdala interacts with the medial prefrontal cortex in regulating glucocorticoid effects on working memory impairment. J Neurosci 2004; 24:1385–1392 17. Ghazali DA, Darmian-Rafei I, Ragot S, et al: Performance Under Stress Conditions During Multidisciplinary Team Immersive Pediatric Simulations. Pediatr Crit Care Med 2018; 19:e270–e278 18. Oriot D, Darrieux E, Boureau-Voultoury A, et al: Validation of a performance assessment scale for simulated intraosseous access. Simul Healthc 2012; 7:171–175 19. Oriot D, Bridier A, Ghazali DA: Development and assessment of an evaluation tool for team clinical performance: The Team Average Performance Assessment Scale (TAPAS). Health Care: Current Reviews 2016; 4:164 20. Cheng A, Hunt EA, Donoghue A, et al: Examining pediatric resuscitation education using simulation and scripted debriefing: a multicenter randomized trial. JAMA Pediatr 2013; 167:528–536 21. Guise JM, Deering SH, Kanki BG, et al: Validation of a tool to measure and promote clinical teamwork. Simul Healthc 2008; 3: 217–223
MR imaging criteria differentiating asymptomatic PML from new MS lesions during natalizumab pharmacovigilance

1. Department of Neurology, Amsterdam Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands. 2. Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands. 3. Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands. 4. Department of Radiology, Erasmus Medical Center, Rotterdam, The Netherlands. 5. Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, P. R. China. 6. Department of Radiology, Albert Schweitzer Hospital, Dordrecht, The Netherlands.
Quantification of cardiac bull's-eye map based on principal strain analysis for myocardial wall motion assessment in stress echocardiography

In this paper we consider automated myocardial wall motion assessment by quantifying a cardiac bull's eye map derived from principal strain analysis. The objective is to learn a classification model that can classify between normal and abnormal wall motions. A traditional hand-crafted feature approach based on pixel intensities is compared with a deep learning framework, where a Convolutional Neural Network (CNN) automatically learns features. Experiments on a 3D Dobutamine Stress Echo (DSE) dataset with normal and abnormal wall motions shows that both hand-crafted approaches yield comparable accuracy: Random Forests (72.1%), Support Vector Machines (70.5%), and CNN at a slightly higher accuracy (75.0%) and a lower training computational cost.
Online Density Bursting Subgraph Detection from Temporal Graphs

Given a temporal weighted graph that consists of a potentially endless stream of updates, we are interested in finding density bursting subgraphs (DBS for short), where a DBS is a subgraph that accumulates its density at the fastest speed. Online DBS detection enjoys many novel applications. At the same time, it is challenging since the time duration of a DBS can be arbitrarily long but a limited size storage can buffer only up to a certain number of updates. To tackle this problem, we observe the critical decomposability of DBSs and show that a DBS with a long time duration can be decomposed into a set of indecomposable DBSs with equal or larger burstiness. We further prove that the time duration of an indecomposable DBS is upper bounded and propose an efficient method TopkDBSOL to detect indecomposable DBSs in an online manner. Extensive experiments demonstrate the effectiveness, efficiency and scalability of TopkDBSOL in detecting significant DBSs from temporal graphs in real applications.
Low-power 10-bit SAR ADC using class-AB type amplifier for IoT applications

In this paper, we present a low-power 10 Bit Successive Approximation Register (SAR) Analog-to-Digital Converter (ADC) which is suitable for low power mixed signal applications especially for IoT devices. We have used Class-AB type amplifier in Reference generator of SAR ADC to reduce current consumption and to satisfy the linearity property for better performance of ADC. The proposed circuit uses a CMOS 0.18 μm process technology and supply voltage of 5 V. The ENOB is 9.623 Bit and SNDR of 58.688 dB with current consumption of 0.44 mA.
Flows of Dense Granular Media

We review flows of dense cohesionless granular materials, with a special focus on the question of constitutive equations. We first discuss the existence of a dense flow regime characterized by enduring contacts. We then emphasize that dimensional analysis strongly constrains the relation between stresses and shear rates, and show that results from experiments and simulations in different configurations support a description in terms of a frictional visco-plastic constitutive law. We then discuss the successes and limitations of this empirical rheology in light of recent alternative theoretical approaches. Finally, we briefly present depth-averaged methods developed for free surface granular flows.
KÜTLE AKTARIMININ MEMBRAN SİSTEMLERİNDEKİ ROLÜ THE ROLE OF MASS TRANSFER IN MEMBRANE SYSTEMS

Membranlar, son yillarda oldukca populer aritim sistemleri arasinda on planda yer almaktadir. Icme suyu aritimi, atiksu aritimi ve deniz suyundan icme suyu eldesi gibi bircok alanda membranlarin kullanimi yayginlasmistir. Ozellikle membranlarin atiksularin aritimi konusunda klasik sistemlere karsi olan ustunlukleri ve gun gectikce dusus gosteren membran materyali maliyetleri, bu sistemlerin tercih edilebilir secenekler arasina girmesini saglamistir. Membranlarin oldukca farkli turleri bulunmaktadir. Bunlar arasinda mikrofiltrasyon (MF), ultrafiltrasyon (UF), nanofiltrasyon (NF) ve ters osmoz (RO) en fazla ilgi ceken proseslerdir. Membran proseslerde en onemli hususlardan biri, membrandan gecen ve membranda tutulan bilesen miktarlaridir. Burada kutle aktarimi kavrami ortaya cikmaktadir. Kutle aktarimi, aritim sistemlerinin projelendirilmesinde ve verimlilik hesaplarinin yapilmasinda oldukca buyuk onem tasiyan bir olaydir. Membranlarda gerceklesen kutle aktariminin incelenmesi, yukarida soz edilen konulara ek olarak, farkli membran tiplerinin karsilastirilmasi acisindan da onem tasimaktadir. Bu derleme makalesi kapsaminda, membranlar ile ilgili genel bilgilere, membranlarin turlerine, kullanim alanlarina ve modul tasarimlarina yer verilmis, kutle aktarimi kavrami incelenmis ve membran aritim sistemlerinde gerceklesen kutle aktarimi islemleri degerlendirilmistir. Membranes are situated in the foreground among the considerably popular treatment systems in the last years. The use of membranes was become widespread in many fields such as drinking water treatment, wastewater treatment and obtaining drinking water from sea water. The predominance of membranes against the classical systems regarding the wastewater treatment, and the decreasing cost of membrane materials each day provided these systems to enter among the preferable options. There are considerably different types of membranes. Microfiltration (MF), ultrafiltration (UF), nanofiltration (NF) and reverse osmosis (RO) are the processes drawing most attention. One of the most important considerations in membrane processes is the amount of constituents passing from the membrane and rejecting by the membrane. Mass transfer concept arises in this place. Mass transfer is a critically important case used in the design of treatment systems and the estimation of efficiency. In addition to the points mentioned above, investigation of mass transfer occurring in membranes is important in comparing of different membrane types. In this review article, general information about the membranes, membrane types, uses of membranes and module designs are given, concept of mass transfer is viewed and the mass transfer processes realizing in these treatment systems are assessed. Anahtar kelimeler: Membran prosesler, Kutle aktarimi, Su aritimi
DNA, PCR and formalinized animal tissue - a short review and protocols

Abstract Formaldehyde was first prepared in 1859, and since then has been in widespread use for fixing and preserving medical and biological specimens. The value of such archival material has increased considerably because several methods for extracting DNA from formaldehyde-fixed animal tissue have been developed. Most of these, however, either require large amounts of tissue (rarely available) or recover only short fragments of DNA. Here we summarize current knowledge of and experience with such published methods, look at some of the known problems, and develop an additional method based on embedding the tissue in agarose prior to treatment with proteinase-K and GeneReleaser. With this method we have obtained mitochondrial DNA useful for PCR reactions from as little as 3 mg tissue of more than 30 years old formaldehyde-fixed aplacophoran molluscs. We examine the conditions under which obtaining relatively high-quality DNA from formaldehyde-fixed material is possible, making previously collected samples accessible for molecular studies in genetics, systematics and related fields. The purpose of this short review is to acquaint molecular systematists with some of the methodological advances and considerations in using formaldehyde-preserved material.
Broadband Optical Frequency Comb Generation With Flexible Frequency Spacing and Center Wavelength

A broadband optical frequency comb with a flexible frequency spacing and a center wavelength is proposed and experimentally demonstrated. The proposed scheme consists of a single continuous-wave laser, cascaded Mach–Zehnder modulator (MZM) and phase modulator (PM), two-stage dispersion-flattened highly nonlinear fibers (DF-HNLFs), and a single-mode fiber in between. A narrow-band frequency comb is generated in the MZM and PM, and a broadband frequency comb is achieved by a self-phase modulation based spectral broadening in the DF-HNLFs. Since the DF-HNLF has low dispersion over a wide wavelength range, the central wavelength of the generated frequency comb can be tuned from 1535 to 1564 nm. In addition, the central wavelength of frequency comb has a potential to be extended to L-band according to the dispersion profile of the DF-HNLF and the operation bandwidths of the MZM and PM. By tuning the driving radio-frequency signal, the frequency spacing of the generated frequency comb can be tuned. In the experiment, the frequency spacing of 25 and 40 GHz has been achieved.
The method of micro-blog article retrieval based on text similarity

With the growth of micro-blog users, the number of micro-blog text is also showing an explosive growth trend. Faced with such a large amount of text data, how to effectively retrieve useful information is very important for micro-blog users. This paper proposes a method combining traditional TF-IDF computing and LDA topic model. First, we compute by TF-IDF to find micro-blog articles about word frequency similarity. Then we use the LDA topic model approach to filter out micro-blog articles with similar themes. Experimental results show that using the integrated search method, users can retrieve more suitable user's actual needs micro-blog articles.
Evaluation of Hydro-Alcoholic Extract of Trifolium Pratens L. for Its Anti-Cancer Potential on U87MG Cell Line

Objective Glioblastoma multiforme is the most malignant form of brain tumors. Trifolium pratense L. has been suggested for cancer treatment in traditional medicine. Here we have investigated the effects of T. pratense extract on glioblastoma multiforme cell line (U87MG). Materials and Methods In this experimental study the effect of T. pratense extract on cell viability was investigated using trypan blue staining, MTT assay, and lactate dehydrogenase activity measurement. Apoptosis and autophagy cell death were detected by fluorescent staining. Nitric oxide (No) production was measured using Griess reaction. Expression levels of some apoptotic and autophagic-related genes were detected using real-time polymerase chain reaction (PCR). The combination effects of T. pratense extract and temozolomide (TMZ) were evaluated by calculating the combination index and dose reduction index values. Results After treatment with T. pratense extract, the cell viability was significantly reduced in a time- and dose- dependent manner (P<0.05). Apoptosis and autophagy of U87MG cells were significantly increased (P<0.05). Also, T. pratense extract significantly decreased NO production (P<0.05) by U87MG cells. Combination of TMZ and T. pratense extract had a synergistic cytotoxic effect. Conclusion T. pratense showed anti-cancer properties via induction of apoptosis and autophagy cell death.
Illuminating dark depths

Microelectronic processing and engineered bacteria provide real-time insights into the gut The inner workings of human physiology remain one of the final frontiers of science. In particular, the gastrointestinal (GI) microenvironment is incompletely understood. On page 915 of this issue, Mimee et al. (1) have developed an ultralow-power ingestible sensor of various compounds (ingestible micro-bio-electronic device, IMBED) by combining engineered bioluminescent bacteria and microelectronic processing. This has the potential to unlock a wealth of information about the body's structure and function, its relationship with the environment, and the impact of disease and therapeutic interventions.
Assessment of Phytotoxic Proclivities of Jatropha curcas L. on Germination and Seedling Establishment of Some Field Crops

To elucidate the phytotoxic response of Jatropha curcas L. on performance of some economical crops under nursery, present investigation was undertaken. Three test crops viz. Zea mays, Vigna radiata and Brassica campestries were evaluated for various germination and growth parameters. Different soil media has treatment combinations of field soil and soil beneath Jatropha monoculture fields significantly influenced the germination, seedling growth and vigour of all test crops. Highest germination capacity was noted in control and a gradual suppression trend was seen thereafter. Growth measurements (shoot and root length, collar diameter, vigour index) and phytomass (fresh shoot and root weight, dry shoot and root weight) exerts maximum increment when supplied to 50% field soil and 50% Jatropha rhizosphere soil (JRS). Maximum inhibition in all parameters was pronounced at 100% Jatropha rhizosphere soil for each of considered parameters. Highest germination % (82) was traced in mustard followed by maize (77) seeds. Best germination and dry biomass (7.57 gm) extent was eminent in Brassica campestries but seedling growth (66.24 cm) and fresh biomass (14.62 gm) concern were higher in Zea mays. Vigna radiata adversely affected in germination (64%), seedling growth (17.24 cm), vigour (965.44), fresh biomass (1.2 gm) and dry biomass (0.24 gm) respectively. Higher concentration of Jatropha rhizosphere soil (JRS) gives suppretory behavior in survival and development of examined crops. The allelopathic perspective within test crops can be arranged as a Vigna radiata > Brassica campestries > Zea mays.
Patient activation among people living with HIV: a cross-sectional comparative analysis with people living with diabetes mellitus

ABSTRACT Standardized self-management supports are an integral part of care delivery for many chronic conditions. We used the validated Patient Activation Measure (PAM®) to assess level of engagement for self-management from a sample of 165 people living with HIV (PLWH) and 163 people with diabetes. We conducted multivariable logistic regression to assess associations between demographics and PAM® scores. PLWH had high levels of activation that were no different from those of people with diabetes (mean score = 67.2, SD = 14.2 versus 65.0, SD = 14.9, p = 0.183). After adjusting for patient characteristics, only being on disability compared to being employed or a student was associated with being less activated (AOR = 0.276, 95%CI = 0.103–0.742). Our findings highlight the potential for the implementation of existing standardized chronic disease self-management programs to enhance the care delivery for PLWH, with people on disability as potential target populations.