Miracle-dz/UniFAR-FTUs huggingface dataset:
Class Vectors: Embedding representation of Document Classes

Distributed representations of words and paragraphs as semantic embeddings in high dimensional data are used across a number of Natural Language Understanding tasks such as retrieval, translation, and classification. In this work, we propose "Class Vectors" - a framework for learning a vector per class in the same embedding space as the word and paragraph embeddings. Similarity between these class vectors and word vectors are used as features to classify a document to a class. In experiment on several sentiment analysis tasks such as Yelp reviews and Amazon electronic product reviews, class vectors have shown better or comparable results in classification while learning very meaningful class embeddings.
Revision and Expansion of Navy Computer Adaptive Personality Scales (NCAPS)

Abstract : This report documents Phase 3 of the development of Navy Computer Adaptive Personality Scales (NCAPS). This phase of the instrument development includes the analyses and the recommendations regarding revision and enhancement of the "Adaptability/Flexibility" the "Stress Tolerance", and the "Self-Reliance" scales. Furthermore, it also documents the development of the "Leadership Orientation", the "Self-Control/Impulsivity", and the "Perceptiveness/Depth of Knowledge" scales. A total of 390 new items were generated for the three new NCAPS attributes. The NCAPS item pool currently measures 13 non-cognitive constructs, with a total of 1,884 items.
Performance of Local Light Microscopy and the ParaScreen Pan/Pf Rapid Diagnostic Test to Detect Malaria in Health Centers in Northwest Ethiopia

Background Diagnostic tests are recommended for suspected malaria cases before treatment, but comparative performance of microscopy and rapid diagnostic tests (RDTs) at rural health centers has rarely been studied compared to independent expert microscopy. Methods Participants (N = 1997) with presumptive malaria were recruited from ten health centers with a range of transmission intensities in Amhara Regional State, Northwest Ethiopia during October to December 2007. Microscopy and ParaScreen Pan/Pf® RDT were done immediately by health center technicians. Blood slides were re-examined later at a central laboratory by independent expert microscopists. Results Of 1,997 febrile patients, 475 (23.8%) were positive by expert microscopists, with 57.7% P.falciparum, 24.6% P.vivax and 17.7% mixed infections. Sensitivity of health center microscopists for any malaria species was >90% in five health centers (four of which had the highest prevalence), >70% in nine centers and 44% in one site with lowest prevalence. Specificity for health center microscopy was very good (>95%) in all centers. For ParaScreen RDT, sensitivity was ≥90% in three centers, ≥70% in six and <60% in four centers. Specificity was ≥90% in all centers except one where it was 85%. Conclusions Health center microscopists performed well in nine of the ten health centers; while for ParaScreen RDT they performed well in only six centers. Overall the accuracy of local microscopy exceeded that of RDT for all outcomes. This study supports the introduction of RDTs only if accompanied by appropriate training, frequent supervision and quality control at all levels. Deficiencies in RDT use at some health centers must be rectified before universal replacement of good routine microscopy with RDTs. Maintenance and strengthening of good quality microscopy remains a priority at health center level.
A REVIEW: MONITORING AND SAFETY OF PILGRIMS USING STAMPEDE DETECTION AND PILGRIM TRACKING

At present, there are so many problems regarding the crowd control, medical emergencies, security issues, identification and tracking of the pilgrims in the holy areas. Especially during pilgrimage, the pilgrimage authority finds it difficult to manage the situation. Thus, in order to identify, track and monitor pilgrims a system is needed. In this system camera is used to monitor continuously and to find high density with the help of image processing. The communication with base station is done through GSM. As soon as pre-stamped starts, people around pre-stamped, camera detect the picture and compare the density and message is send to the police if very high density is found. This embedded system is divided into two parts stamped detection and pilgrim monitoring unit. In Stamped detection unit continuous monitoring of the stamped scenario using Image processing via MATLAB software is implemented. The MATLAB software continuously takes snapshot at every 10 seconds and will analyse the scenario for stamped threshold. If the people gathered in a particular area are more than the threshold then stamped warning is sent to ARM microcontroller via RS232 and simultaneously we send an indication to the Pilgrim unit via GSM. In Pilgrim monitoring unit continuous monitoring of the status of pilgrim using the health parameters of pilgrim and sending the GPS Co-ordinates along with the health parameters is initiated.
Improving IEEE 1588 synchronization accuracy in 1000BASE-T systems

This paper describes research into improving IEEE 1588 synchronization accuracy when using 1000BASE-T, Gigabit Ethernet over copper wiring. It describes the possible sources of error in such a system, such as path asymmetries and non-deterministic delays, and proposed solutions for them. The methods described improve synchronization accuracy by enhancing the accuracy of timestamps of both ingress and egress 1588 event messages. The clocking architecture of the physical layer for 1000BASE-T, including the master and slave modes of operation, is discussed in detail. The enhancement methods described maintain full compatibility with current IEEE 1588-2008 implementations.
A Detection Method of Driver's Face Orientation Based on Visual Cues and SVM

Face orientation can be used to derive vigilance cues about the vehicle driver. In this paper, a face pose estimation model based on visual features is presented. The face orientation is estimated through SVM with features detection such as eyes, mouth, facial outlines and so on. Innovative point of this research is the utilization of the features triangle, which composed with eyes and mouth locations, to obtain a robust face pose estimate. This method leads to the free face pose estimation and it is non-intrusive to the driver. Finally, the system is assessed with a commercial capture system. The evaluation results indicate that the system presented can be used in the driver assistant system.
Effectiveness of Computer-Assisted Therapy for Substance Dependence Using Breaking Free Online: Subgroup Analyses of a Heterogeneous Sample of Service Users

Background Substance misuse services within the United Kingdom have traditionally been oriented to opiate and crack users, and attended predominantly by male service users. Groups who do not fit this demographic, such as women or those whose primary drug of choice is neither heroin nor crack, have tended to be underrepresented in services. In addition, there can be stigma associated with traditional opiate and crack-centric services. Therefore, the computerized treatment and recovery program, Breaking Free Online (BFO), was developed to enable service users to access confidential support for dependence on a wide range of substances. BFO is delivered as computer-assisted therapy (CAT), or, where appropriate, used as self-help. Objective The aim of this study was to report psychometric outcomes data from 393 service users accessing online support for substance misuse via BFO. Methods Following initial referral to substance misuse services, all participants were supported in setting up a BFO login by a practitioner or peer mentor, and, where required, assisted as they completed an online baseline assessment battery contained within the BFO program. Following a period of engagement with BFO, all participants completed the same battery of assessments, and changes in the scores on these assessments were examined. Results Significant improvements were found across the 393 service users in several areas of psychosocial functioning, including quality of life, severity of alcohol and drug dependence, depression, and anxiety (P=<.001 across all aspects of functioning). Additionally, significant improvements were found within specific subgroups of participants, including females (P=.001-<.001), males (P=.004-<.001), service users reporting alcohol dependence (P=.002-<.001), opiate and crack dependence (P=.014-<.001), and those seeking support for other substances that may be less well represented in the substance misuse sector (P=.001-<.001). Conclusions Data from this study indicates that BFO is an effective clinical treatment for a wide range of individuals requiring support for substance misuse. Further work is currently underway to examine more closely the clinical effectiveness of the program.
Clustering Data Streams: Theory and Practice

The data stream model has recently attracted attention for its applicability to numerous types of data, including telephone records, Web documents, and clickstreams. For analysis of such data, the ability to process the data in a single pass, or a small number of passes, while using little memory, is crucial. We describe such a streaming algorithm that effectively clusters large data streams. We also provide empirical evidence of the algorithm's performance on synthetic and real data streams.
An improved traffic safety information fusion algorithm in internet of vehicles

In Internet of Vehicles, information fusion can decrease the throughput of transmitted information by compressing the redundant information to improve the wireless resource's efficiency. In this paper, a D-S evidence theory based traffic safety information fusion algorithm is proposed based on the spatio-temporal correlation of traffic safety information and the advantages of the Bajraktarevic mean. Firstly, the spatio-temporal correlation status parameters of different vehicles are calculated by Cauchy's equation. Secondly, the basic probability assignments of status parameters are obtained by Bajraktarevic mean function to get the status parameters sets and their confidence sets. Finally, the time and location parameter sets are fused based on the Dempster fusion rule respectively. The fusion result with the maximum confidence will be chosen to disseminate. Simulation shows that the proposed algorithm can reduce the errors in space and time. The complexity of algorithm can be reduced effectively too.
Traversing Recursive Object Structures : The Functional Visitor in Demeter

Adaptive Programming (AP) provides a graph-based model for separating the traversal of a data structure from computations over the structure. This paper presents a new programming paradigm in AP that adds the power of functional composition of VISITOR methods while preserving the flexibility of traversal control. The paper departs from a pure iterative approach to AP and introduces a recursive approach using default combination methods to achieve adaptiveness. Default combination methods are a novel form of advice that adapts to the number of outgoing edges the traversal joinpoint uses.
An Adaptive Grid Division algorithm for target location in wireless sensor networks

Target location and tracking have been an important fundamental technology in wireless sensor networks. Distance irrelevant location algorithm is one of the most popular methods in target location application. This kind of algorithm mostly locates the target by getting the target approximate area and calculating its centroid. Because of the large calculating quantity and bad real-time capability of the traditional methods in solving the centroid of irregular approximate area, a universal Adaptive grId Division (AID) method was proposed. By grid dividing and scanning towards the WSNs deploying area, a target approximate area was got and the location precision was adaptively adjusted according to the grid granularity. The results of experiment show that AID has a higher real-time capability under similar precision with traditional methods.
The epidemiology of mechanical ventilation use in the United States*

Objective:Few contemporary population-based data exist about the incidence, patient characteristics, and outcomes of mechanical ventilation in acute care hospitals. We sought to describe the epidemiology of mechanical ventilation use in the United States. Design:Retrospective cohort study using year 2005 hospital discharge records from six states. National projections were generated from age-, race-, and sex-specific rates in the cohort. Setting:Nonfederal acute care hospitals. Patients:All discharges that included invasive mechanical ventilation identified using International Classification of Diseases, 9th Revision, Clinical Modification procedure codes (96.7x). Interventions:None. Measurements and Main Results:Of 6,469,674 hospitalizations in the six states, 180,326 (2.8%) received invasive mechanical ventilation. There was a wide age distribution with 52.2% of patients <65 yrs of age. A total of 44.6% had at least one major comorbid condition. The most common comorbidities included diabetes (13.2%) and pulmonary disease (13.2%). Inhospital mortality was 34.5%, and only 30.8% of patients were discharged home from the hospital. Almost all patients received care in urban (73.5%) or suburban (23.6%) hospitals vs. rural hospitals (2.9%). Patients in urban hospitals experienced a higher number of organ dysfunctions, more dialysis and tracheostomies, and higher mortality compared with patients in rural hospitals. Projecting to national estimates, there were 790,257 hospitalizations involving mechanical ventilation in 2005, representing 2.7 episodes of mechanical ventilation per 1000 population. Estimated national costs were $27 billion representing 12% of all hospital costs. Incidence, mortality, and cumulative population costs rose significantly with age. Conclusions:Mechanical ventilation use is common and accounts for a disproportionate amount of resource use, particularly in urban hospitals and in elderly patients. Mortality for mechanically ventilated patients is high. Quality improvement and cost-reduction strategies targeted at these patients are warranted.
A Survey on User Personalization using Ontology

: The goal of user personalization is to provide personalized services based on user’s interests and preferences, thus allowing for more efficient information access. The ability to adapt fast to the current user's interests is an important feature of user model. Responsibility of a search engine growing like never before to fetch and provide not only meaningful results for the given query but also personalized the results uniquely to each and every user of the search engine. For user’s input query, user wants relevancy in obtained results. A concept of Ontology is been introduced in search engines to get more meaningful and relevant results with respect to the user’s query. Ontology describes the concepts in the domain and relationships between those concepts. The most recent development in standard ontology languages is OWL (Ontology Web Language). OWL makes it possible to describe concept to its full extent and enables the search engines to provide accurate results to the user. Our proposed system takes search engine concept for some limited domain like ACM Computing Classification System (CCS). CCS can be used as simple domain ontology which is providing a hierarchical structure to describe the various research area fields in computer science by using this hierarchical relation we can create Ontology. Our proposed system is Ontology based User Personalization search system and experiments by this approach we can get Computer Science Research Paper.
Managing battery lifetime with energy-aware adaptation

We demonstrate that a collaborative relationship between the operating system and applications can be used to meet user-specified goals for battery duration. We first describe a novel profiling-based approach for accurately measuring application and system energy consumption. We then show how applications can dynamically modify their behavior to conserve energy. We extend the Linux operating system to yield battery lifetimes of user-specified duration. By monitoring energy supply and demand and by maintaining a history of application energy use, the approach can dynamically balance energy conservation and application quality. Our evaluation shows that this approach can meet goals that extend battery life by as much as 30%.
Energy consistent discontinuous Galerkin methods for the Navier-Stokes-Korteweg system

We design consistent discontinuous Galerkin finite element schemes for the approximation of the Euler-Korteweg and the Navier-Stokes-Korteweg systems. We show that the scheme for the Euler-Korteweg system is energy and mass conservative and that the scheme for the Navier-Stokes-Korteweg system is mass conservative and monotonically energy dissipative. In this case the dissipation is isolated to viscous effects, that is, there is no numerical dissipation. In this sense the methods is consistent with the energy dissipation of the continuous PDE systems.
Low power high level synthesis by increasing data correlation

With the increasing performance and density of VLSI circuits as well as the popularity of portable devices such as personal digital assistance, power consumption has emerged as an important issue in the design of electronic systems. Low power design techniques have been pursued at all design levels. However, it is more effective to attempt to reduce power dissipation at higher levels of abstraction which allows a wider view. In this paper, we propose a simultaneous scheduling and binding scheme which increases the correlation between consecutive inputs to an execution unit so that the switched capacitance of the execution unit is reduced. The proposed method is implemented and integrated into the scheduling and assignment part of the HYPER synthesis environment. Compared with the original HYPER synthesis system, average power saving of 23.0% in execution units and 14.2% in the whole circuit, is obtained for a set of benchmark examples.
Scheduling Flows With Multiple Service Frequency Constraints

With the fast development of wireless technologies, wireless applications have invaded various areas in people’s lives with a wide range of capabilities. Guaranteeing quality-of-service (QoS) is the key to the success of those applications. One of the QoS requirements, service frequency, is very important for tasks including multimedia transmission in the Internet of Things. A service frequency constraint denotes the length of the time period during which a link can transmit at least once. Unfortunately, it has not been well addressed yet. Therefore, this paper proposes a new framework to schedule multitransmitting flows in wireless networks considering service frequency constraint for each link. In our model, the constraints for flows are heterogeneous due to the diversity of users’ behaviors. We first introduce a new definition for network stability with service frequency constraints and demonstrate that the novel scheduling policy is throughput-optimal in one fundamental category of network models. After that, we discuss the performance of a wireless network with service frequency constraints from the views of capacity region and total queue length. Finally, a series of evaluations indicate the proposed scheduling policy can guarantee service frequency and achieve a good performance on the aspect of queue length of each flow.
Low Complexity Blind Frequency Offset Estimation Based on Downsampling for OFDM Systems

A novel subspace-based blind carrier frequency offset (CFO) estimation approach for orthogonal frequency-division multiplexing (OFDM) systems is proposed. The key observation is that the CFO information is redundant in spectrum structure. By locating null carriers equispaced and remodeling the received blocks through downsampling, we compact parameter space and obtain a low complexity estimator with the performance of high-resolution. Analysis and simulations show the estimator is robust in both AWGN channel and frequency-selective channel.
Calculation and Analysis of Iron Loss in Homopolar Inductor Alternator

DC-biased magnetic induction can occur in homopolar inductor alternator (HIA). In this paper, an experimental method is introduced and the corresponding experimental platform is constructed to measure the magnetic loss characteristics of magnetic material under DC-biased magnetic induction. The curves of the magnetic loss under DC-biased magnetic induction are obtained. The magnetic loss of HIA under DC-biased magnetic induction is calculated. The influence of the structure parameter and excitation current on the stator core loss is investigated. Some significant conclusions include: the magnetic material suffers an increase in magnetic loss under DC-biased magnetic induction relative to sinusoidal induction; the magnetic loss of HIA, which is quite different from the loss of conventional electrical machine under sinusoidal induction, is almost proportional to the operating speed; the stator core loss of HIA achieves to the maximum value when the coefficient of the rotor tooth width is approximate to 0.5.
Geographical variation of genetic and phenotypic traits in the Mexican sailfin mollies, Poecilia velifera and P. petenensis

Comparing the patterns of population divergence using both neutral genetic and phenotypic traits provides an opportunity to examine the relative importance of evolutionary mechanisms in shaping population differences. We used microsatellite markers to examine population genetic structure in the Mexican sailfin mollies Poecilia velifera and P. petenensis. We compared patterns of genetic structure and divergence to that in two types of phenotypic traits: morphological characters and mating behaviours. Populations within each species were genetically distinct, and conformed to a model of isolation by distance, with populations within different geographical regions being more genetically similar to one another than were populations from different regions. Bayesian clustering and barrier analyses provided additional support for population separation, especially between geographical regions. In contrast, none of the phenotypic traits showed any type of geographical pattern, and population divergence in these traits was uncorrelated with that found in neutral markers. There was also a weaker pattern of regional differences among geographical regions compared to neutral genetic divergence. These results suggest that while divergence in neutral traits is likely a product of population history and genetic drift, phenotypic divergence is governed by different mechanisms, such as natural and sexual selection, and arises at spatial scales independent from those of neutral markers.