Miracle-dz/UniFAR-FTUs huggingface dataset:
Query image Image – > Feature Vector Cache Hit Miss Extract

Modern On-Line Data Intensive (OLDI) applications have evolved from monolithic systems to instead comprise numerous, distributed microservices interacting via Remote Procedure Calls (RPCs). Microservices face single-digit millisecond RPC latency goals (implying sub-ms medians)—much tighter than their monolithic ancestors that must meet ≥ 100 ms latency targets. Sub-ms-scale OS/network overheads that were once insignificant for such monoliths can now come to dominate in the sub-msscale microservice regime. It is therefore vital to characterize the influence of OSand network-based effects on microservices. Unfortunately, widely-used academic data center benchmark suites are unsuitable to aid this characterization as they (1) use monolithic rather than microservice architectures, and (2) largely have request service times ≥ 100 ms. In this paper, we investigate how OS and network overheads impact microservice median and tail latency by developing a complete suite of microservices called μSuite that we use to facilitate our study. μSuite comprises four OLDI services composed of microservices: image similarity search, protocol routing for key-value stores, set algebra on posting lists for document search, and recommender systems. Our characterization reveals that the relationship between optimal OS/network parameters and service load is complex. Our primary finding is that non-optimal OS scheduler decisions can degrade microservice tail latency by up to ∼ 87%.
A Survey of Bug Tracking Tools : Presentation , Analysis and Trends

Nowadays, when project are so extensive, the one sure thing that will happen is bag. Because of that, it becomes very important to have appropriate bug tracking system. Poorly designed bug tracking systems can are sometimes blamed for bad information exchanging between developers. The purpose of this paper is to present some most common used such systems, to address his problems and give some direction for enhancement.
On Motions That Allow for Identification of Hinge Joint Axes from Kinematic Constraints and 6D IMU Data

In inertial motion tracking of kinematic chains, inertial measurement units (IMUs) are attached to each segment in order to track their motion in three-dimensional space. Determining the relations between the functional axes of a joint and the local coordinate system of the attached sensor is a crucial requirement. For the case of hinge joints, methods have been proposed that exploit kinematic constraints to automatically identify the local hinge joint axis coordinates from the raw data of almost arbitrary motions. However, to current date, it remains unclear which joint motions are sufficiently rich for the joint axis to become identifiable. We consider a commonly used gyroscope-based kinematic constraint and present a novel accelerometer-based kinematic constraint. We study conditions of identifiability by analyzing the nonlinear constraint equations and present practical conditions for the minimum excitation that is required. Among other results, we prove that planar motions and subsequent motions of both ends of the joint are sufficient as long as the joint axis does not remain perfectly horizontal. Theoretical results are validated in experimental studies of a human upper limb wearing an exoskeleton. Despite the typical IMU-related measurement inaccuracies and although the human elbow joint is only an approximate hinge joint, the cost function defined by the kinematic constraints exhibits a distinct global minimum at the true joint axis coordinates if the motion fulfills the proposed requirements.
Hyperglycemia indicates poor cerebral collaterals in patients underwent acute ischemic stroke

Collateral circulation plays a key role in stroke and cardiovascular diseases. Hyperglycemia is known to aggravate cerebral ischemia. However, whether hyperglycemia directly contributes to collateral circulation after acute ischemic stroke is unknown. We sought to investigate the relationship between collaterals and fasting glucose levels in acute ischemic stroke patients. 45 patients (mean age, 61.9±11.4 years; 29 males) underwent acute ischemic stroke were enrolled from September 2014 to August 2015. M1 segment of middle cerebral artery (MCA) ± intracranial internal carotid artery (ICA) occlusions were measured using Digital Subtraction Angiography (DSA). Two neurologic clinical specialists evaluated the DSA images and graded the cerebral collaterals using Collateral Flow Grading System (Grade 0-4). Poor collaterals (Grade 0-2) were observed in 32/45 (71.1%) patients. Univariate analysis identified that patients with poor collaterals at baseline had higher fasting glucose levels at admission (P=0.025). At multivariate analysis, fasting glucose at admission did not achieve independent predictor status for poor cerebral collaterals (P=0.120). This study of 45 patients shows that hyperglycemia indicate higher risk of poor cerebral collaterals in patients underwent acute ischemic stroke, but hyperglycemia is not an independent predictor of poor cerebral collaterals in these patients.
Place de la cytogénétique dans la prise en charge de la leucémie lymphoïde chronique : actualisation du Groupe francophone de cytogénétique hématologique (GFCH)

lorence Nguyen-Khac1 laire Borie2 velyne Callet-Bauchu3 irginie Eclache4 téphanie Struski5 1 Hôpital Pitié-Salpêtrière, UPMC Paris , Inserm UMRS1138, Paris, France florence.nguyen-khac@psl.aphp. fr> 2 Secteur cytogénétique nco-hématologique, Laboratoire ’hématologie, Hôpital Paul Brousse, illejuif, France Résumé. Les anomalies cytogénétiques récurrentes acquises observées dans la leucémie lymphoïde chronique sont fréquentes, et peuvent être associées à des facteurs de bon ou mauvais pronostic, ainsi qu’à des mutations géniques somatiques. Ces anomalies chromosomiques peuvent être clonales ou sous-clonales. À l’heure actuelle, seule la recherche de la délétion 17p (gène TP53) (ainsi que la mutation du gène TP53) est obligatoire avant traitement, puisqu’elle oriente le choix thérapeutique. Il est cependant recommandé de rechercher également la délétion 11q (gène ATM). Enfin la valeur pronostique des autres anomalies cytogénétiques, et en particulier du caryotype complexe, est encore régulièrement discutée.
Genetics of Sucrose Transporter in Plants

Sucrose is one of the most common and abundant carbon forms in plants. Most plants synthesize sucrose as a major photosynthetic product and use it for long distance carbon transport. Therefore sucrose transport in plants probably is highly regulated and sucrose transporters have indispensable roles in the regulation. In the Arabidopsis genome, 69 sugar transporter homologues have been found, 9 of which are in the sucrose transporter SUC/SUT family. The SUC/SUT family is further divided into three subfamilies based on homology: SUC2/SUT1, SUC3/SUT2 and SUC4 subfamilies. Gene structures, protein structures, kinetics of sucrose transport and subcellular localizations differ between these three subfamilies. Sucrose transporter genes have been isolated from many different plants and their expressions, regulations and physiological roles have been studied. This review summarizes these studies of sucrose transporters. _____________________________________________________________________________________________________________
Hypersurface-Homogeneous Bulk Viscous Fluid Models with Decaying Cosmological Term

We have investigated hypersurface-homogeneous bulk viscous fluid cosmological models with time-dependent cosmological term. It has been shown that the field equations are solvable for any arbitrary scale function.The bulk viscosity coefficient is assumed to be proportional to the energy density. The isotropic pressure and the energy density of the fluid satisfies the barotropic equation of state. The exact solutions of the Einstein’s field equations are obtained which represent expanding, shearing and accelerating/decelerating models of the universe. Some physical and kinematical behaviors of the cosmological models are discussed. PACS: 04.20. jb;04.02-q;98.80. Cq;04.50+h
TMS320F240 DSP Solution for Obtaining Resolver Angular Position and Speed

This application report presents a TMS320F240 DSP solution for obtaining the angular position and speed of a resolver. A resolver is an absolute mechanical position sensor used, for example, in servo applications. It is basically a rotating transformer. The sinusoidal input reference is amplitude modulated with the sine and cosine of the mechanical angle, respectively. These two output signals have to be decoded to obtain the angular position. For decoding the resolver output signals, a basic method is introduced. It utilizes undersampling and an inverse tangent function. To achieve a higher angular resolution an improved method, which adds oversampling techniques is used. Due to an integral invariant filter, which is a combination of an IIR and FIR filter, the digitized angular position does not suffer any velocity lag. Thanks to its peripherals, the Texas Instruments TI  TMS320F240 DSP can be ideally used for decoding the two resolver output signals as well as for generating the input reference frequency. The hardware interfacing of the resolver to the TMS320F240 is shown and the software realization of the improved method on the TMS320F240 is documented. All software routines are C-compatible. The angular resolution achievable with the TMS320F240 is up to 14 bits, at a CPU loading of 13%. Thus, the TMS320F240 will eliminate the cost for the external resolver-to-digital conversion IC, since the algorithm runs in addition to the motor control task.
Appendix A: Summary of evidence from surveillance

This surveillance review has used, as far as possible, studies carried out in populations with generalised anxiety disorder (GAD) or panic disorder or that report the proportion with these disorders in the abstract. Where the evidence base in GAD or panic disorder populations is limited, studies of populations with mixed anxiety or mental health disorders that include GAD and panic disorder have been included. The composition of the population in the included studies is stated in each study summary.
Post-print version : Invalidation of low-order models for AP controller design

The purpose of this work is to compute a Linear Parameter-Var ying (LPV) model set that describes the insulin-glucose dynamics in Type 1 Diabetes (T1D). This set includes a nominal LPV model and dynamic uncertainty and is amenable to controller design. The nomin al model is an LPV control-oriented model previously published by the authors that is (in)validated i n this work against the UVA/Padova metabolic simulator. The result is a set of models that is used to design a switched LPV robust controller to account for nonlinearities and variations in Insulin Sensitivity ( SI ). Closed-loop responses obtained with the robust controller and a nominal one are compared. Results illustra te he convenience of including robust strategies in designing control laws for an Artificial Pancreas (AP).
Effectiveness of Character Language Model for Vietnamese Named Entity Recognition

Recently, many studies indicate that character language model can capture syntactic-semantic word features, resulting in state-of-the-art performance in typical NLP sequence labeling tasks. This paper shows the effectiveness of character language model for Viet-namese Named Entity Recognition by comparing several methods. We evaluate the proposed model on the VLSP 2016 dataset and our own VTNER dataset. Experimental results show that our model is the current state-of-the-art end-to-end obtains for the task.
Community composition of rhizosphere fungi as affected by Funneliformis mosseae in soybean continuous cropping soil during seedling period

Arbuscular mycorrhizal (AM) fungi can enhance plant resistance particularly against soil-borne pathogenic fungi. However, little is known about the effects of Funneliformis mosseae on the community composition of rhizosphere fungi in soybean (Glycine max [L.] Merr.) continuous cropping soil. Here, the disease index of soybean root rot was analyzed, and high throughput sequencing technology was applied to investigate whether F. mosseae could change the composition of fungal communities in the rhizosphere of continuous cropping soybean during seedling period. The results indicated that the disease index of soybean root rot decreased significantly after inoculation of F. mosseae. The root rot disease index was also affected by the increasing of continuous cropping regimes. Furthermore, the relative abundance of fungal community in soybean rhizosphere soil and root samples was influenced after inoculation. Ascomycota was the dominant phylum in most samples. Basidiomycota was the second dominant phylum in all the soil samples, but Olpidiomycota was the second phylum in most root samples. At the genus level, both inoculation and continuous cropping regimes had significant effects on the dominant genus and their relative abundances in all the samples. The relative abundance of some plant pathogenic fungi such as Fusarium in the inoculated root samples was lower than those in the non-inoculated root samples in the same continuous cropping regime. The results can provide new insights into the interactive effects of AM fungi and rhizosphere fungi, and also provide theoretical evidence on biological solutions to alleviate the obstacles of soybean continuous cropping.
AN INVESTIGATION OF SCALE AND SPATIAL VARIABILITY USING FULLY-AND SEMI-DISTRIBUTED TOPLATS AT THE WHITEWATER WATERSHED , KANSAS

A primary aim of the DOEWater Cycle Pilot Study is to represent the water budget in a small watershed in the Southern Great Plains. An important consideration is how the spatial heterogeneity should be represented to give reasonable land surface hydrological fluxes. There is much discussion in the literature regarding under which conditions and at which scales spatial variability should be explicitly modeled, described by a distribution, or ignored (Wood, 1998). There are also problems of scaling that suggest that using small scale process descriptions at a large scale is inappropriate (Beven, 1995). The representation of spatial heterogeneity of soil moisture is essential for modeling processes that are nonlinearly related to soil moisture, such as the partitioning of sensible and latent heat fluxes. Remotely sensed soil moisture data is becoming increasingly available, however the variability within the remotely sensed footprint is spatially averaged. It is necessary to represent this variability, however it is not clear how, especially since the patterns of variability change under different conditions due to different controls. In the absence of detailed spatially variable measurements, TOPLATS, a land surface model that has been shown to reproduce soil moisture patterns and hydrological fluxes in the Southern Great Plains (eg Famigli-
DICTIONARY-BASED DATA HIDING USING IMAGE HASHING STRATEGY

This paper proposes a novel data hiding framework based on image hashing strategy. First, the best-matching blocks for each cover image block are searched in the existing database, which can be generated by the codebook of vector quantization technique. Then, a dictionary consisting of different versions for each cover block is constructed by a set of content-preserving manipulations, and each version is assigned with a unique binary representation. According to the secret data hidden for each block, corresponding versions of the block in the dictionary are chosen to substitute the cover block and form the stego image. Due to the properties of robustness and anti-collision of image hashing, the secret data can be extracted correctly by comparing the stego block with the blocks in the reconstructed dictionary. The experimental results show the effectiveness and flexibility of the proposed framework.
Surface Vs Volume Based Reconstruction of Bone Tissue Using CAS_Annotate and CAS_Navigate

Intra-operative systems that provide 3D spatial reasoning support, require 3D models whose geometric accuracy enables the surgeon to make relative positioning and orientation decisions of anatomical structures during navigation. This paper compares the advantages and disadvantages of two popular types of 3D reconstruction from CT polygons, surface based and volume based respectively (Figure 1). Both are implemented in the CAS_Annotate tool, and were used for the purpose of assessing bone tissue modeling strategies for navigation. Their impact in rendering performance is assessed in CAS_Navigate which draws on IGSTK’s intra-operative visualization capabilities.
Motivating Factors of Investors to Involve in Supply Chain Management Practices: A Study on Ready Made Garment Industry in Bangladesh

The export-oriented clothing industry in Bangladesh, commonly known as ready made garment (RMG) occupies an inimitable position in the economy of Bangladesh. The aim of this study is to examine the intent of investors/manufacturers of Bangladeshi RMG to engage in supply chain management practices. Bangladeshi garment industry is the leading export earner as well as main sources of GDP (Gross Domestic Product) for Bangladesh over the decade. Development of the garment industry in Bangladesh was driven by the structural economic reforms of the 1980s, which opened the Bangladeshi economy towards foreign investment, deregulation of markets and privatization. Nowadays Bangladesh is well known across the globe for its vigorous success in the arena of readymade garment industry. On time deliverance, short lead time and desired quality product determines the criteria to gain the orders from international buyers. Thus, involve in supply chain management practices (SCMP) treated as compulsory requirement for these industries. To discover the absolute motive of RMG Investors/Manufacturers, the descriptive study was associated on 10 companies that are presently practiced SCM activities in Bangladesh. Standard questionnaires were utilized to accumulate the data. Research result showed 14 variables of Investor/Manufacturer motives are comprised in SCMP. Each variable was interconnected in nature. Four fundamental motivational factors stand as operational, economical, environmental & ethical, and social & behavioral. Shield motives of Investors/ Manufacturers can easily have recognized by these factors. This will assist the respective authority to control the RMG companies and acknowledged the forthcoming action steps to advance the supply chain management (SCM)system of this industry at Bangladesh. Rank order data interpretation represented that environmental motive and ethical motive are strong portent of Investor/Manufacturer motives to incorporate in Supply Chain Management practices.
GEOLOGICAL PATTERN RECOGNITION AND MODELLING WITH A GENERAL REGRESSION NEURAL NETWORK

The compulcr neural network CCNNI technique continues to draw fmorc aftentinn frm georcienrisls. Tht. back-prnpagatmn neuI. *, nelwork tRP~CNN,. fnr cxwqk has been used f<X such geolngical applications ils lithology idrntilicatinn from well logs and seismic data pmcrssing. In this paper. WC highlight Ihe geok~gical utility of a different type of CNN called general rcpessinn neural network ,GRNN I” ContraSt 1” RP.CNNS, GRNNS do nut converge tn il Ihciil minimum. are amore asily implemented. can be trained 1m0m sfficirntly and have the cilpecity to handle incomplete pauemr. WC demonstrate the a,rf”lnc\s and patsntial nf the GRNN atgori,hm wi,h reference to an example “la, examines relationships between the Kmll organic cartlon content “f ruck inlrr”als and their well-log rrrponrea. In another example, we rhow GRNN‘s ability 10 recngnirr aumnatically the carbon isotqic profiler ol’ crude nils, after bring mined with a smilll dilla ret.
Corporate Governance, Weak Investor Protection and Financial Performance in Southern Europe

The effectiveness of boards of directors is addressed in a context of weak legal protection using a sample of listed firms from Southern. A cross-country and panel data design is used, taking into account the endogeneity problem arising in studies of corporate governance. The results show that there is an inverted Ushaped relationship between independent directors and firm performance which allows us to identify the optimal level of independent directors on the board. Moreover, the study determines whether there are significant differences in the optimal level of independent directors depending on the family identity of the large shareholder and whether any such differences are correlated with firm performance. This article has implications for practitioners because the results fail to support good the governance recommendation suggesting that more independent directors are always in the best interest of investors.
EDUCATION AND CAREER DEVELOPMENT AS MOTIVATIONAL FACTORS IN COMPANIES IN BOSNIA AND HERZEGOVINA

Globalization, increased complexity, turbulent and uncertain business environment, as well as technological innovations have all contributed to knowledge obsolescence. Therefore, companies must participate in different educational programs or trainings in order for their employees to acquire additional knowledge and skills, which are, in turn, required as present and future job prerequisites. Through acquisition of new skills and knowledge, employees are able to perform more challenging and complex tasks. This also means that employees can prepare for future tasks in accordance to organization’s aims. The purpose of this paper is to analyze through what extent do education and career development opportunities motivate employees in companies across Bosnia and Herzegovina. In order to confirm the relationship between company characteristics and stimulating effects of education and career development, the research includes employees from various organizations. The methodological framework of this study is found in Herzberg’s two-factor theory of motivation, according to which achievements, recognition, job challenges, responsibility, growth and advancements depend on employee satisfaction and motivation. The results of this research could be of help to managers of companies across Bosnia and Herzegovina, notably in the process of employee motivation, education costs and creation of career development frameworks.
Development-Forced Displacement and Resettlement : A Global Human Rights Crisis

large-scale infrastructural projects is one of the most bitterly contested issues in the field of development today. Publicly and, increasingly, privately funded development projects are estimated to displace more than fifteen million people a year (Michael Cernea, personal communication, September 2005). Capital-intensive, high-technology, large-scale projects convert farmlands, fishing grounds, forests, and homes into dam-created reservoirs, irrigation schemes, mining operations, plantations, colonization projects, highways, urban renewal, industrial complexes, and tourist resorts, all in the name of regional and national development. Aimed at generating economic growth and thereby improving general welfare, these projects have all too often left local people permanently displaced, disempowered, and destitute. Resettlement has been so poorly planned, financed, implemented, and administered that these projects generally end up being “development disasters. ” The process of displacement becomes a “totalizing” phenomenon, affecting virtually every aspect of life. More people were involuntarily displaced in the twentieth century than in any other in recorded history. Adding to the wars and environmental havoc that uprooted millions was the global drive to develop. Despite sharing many similarities, displacement caused by development 1