Miracle-dz/UniFAR-FTUs huggingface dataset:
Epilepsy diagnosis and management of children in Kenya: review of current literature

Introduction: The growing impact of non-communicable diseases in low- to middle-income countries makes epilepsy a key research priority. We evaluated peer-reviewed published literature on childhood epilepsy specific to Kenya to identify knowledge gaps and inform future priorities. Methodology: A literature search utilizing the terms “epilepsy” OR “seizure” as exploded subject headings AND “Kenya” was conducted. Relevant databases were searched, generating 908 articles. After initial screening to remove duplications, irrelevant articles, and publications older than 15 years, 154 papers remained for full-article review, which identified 35 publications containing relevant information. Data were extracted from these reports on epidemiology, etiology, clinical features, management, and outcomes. Results: The estimated prevalence of lifetime epilepsy in children was 21–41 per 1,000, while the incidence of active convulsive epilepsy was 39–187 cases per 100,000 children per year. The incidence of acute seizures was 312–879 per 100,000 children per year and neonatal seizures 3,950 per 100,000 live births per year. Common risk factors for both epilepsy and acute seizures included adverse perinatal events, meningitis, malaria, febrile seizures, and family history of epilepsy. Electroencephalography abnormalities were documented in 20%–41% and neurocognitive comorbidities in more than half. Mortality in children admitted with acute seizures was 3%–6%, and neurological sequelae were identified in 31% following convulsive status epilepticus. Only 7%–29% children with epilepsy were on antiseizure medication. Conclusion: Active convulsive epilepsy is a common condition among Kenyan children, remains largely untreated, and leads to extremely poor outcomes. The high proportion of epilepsy attributable to preventable causes, in particular neonatal morbidity, contributes significantly to the lifetime burden of the condition. This review reaffirms the ongoing need for better public awareness of epilepsy as a treatable disease and for national-level action that targets both prevention and management.
Les pneumopathies nosocomiales en réanimation de CHU Hassan II de Fès

L'objectif principal de notre étude était d'identifier les bactéries incriminées dans la pneumopathie nosocomiale (PN) au service de réanimation A1 du CHU Hassan II de Fès, en vue d'en améliorer la prise en charge et de diminuer la morbi-mortalité associée. Il s'agit d'une étude rétrospective et descriptive, menée du 1er janvier 2012 au 31 décembre 2013. Seules les infections pulmonaires survenant au-delà de 48 heures de l'admission du patient au service de réanimation ont été incluses. L'incidence de la PN était de 11,2%. Les Bacilles à Gram négatif (BGN) étaient retrouvés dans 48,5% des cas, le Staphylocoque Aureus dans 21,21% des cas et le Klebsiella Pneumoniae était dans 10,7% des cas. Le taux de mortalité était de 48,33%. L’âge, la gravité de la pathologie sous jacente et le retard de l'instauration d'une antibiothérapie adaptée étaient considérées comme facteurs de mauvais pronostic. L’étude de la résistance aux antibiotiques, montre une multirésistance surtout pour les BGN, dont il faut tenir compte en mettant en place une stratégie de prévention active.
The Study on Cloud Storage Data Management Method Based on Minimum Access Cost for Internet of Things

According to the characteristics of data access in Internet of things, we put forward a replicate distribution method of minimum cost which considers the number and type of replicate in cloud storage. By this method, the replicates will be distributed to storage servers with minimum total cost from several data service points. This method is fundamental research of low cost distribution for replicates in cloud storage based on data access load.
The Development of the User-Customizable Favorites-based Smart Phone UX/UI Using Tap Pattern Similarity

In this paper, we design a smart phone UX/UI and a tap pattern recognition algorithm that can recognize tap patterns from a tapping user's fingers on the screen, and implement an application that provides user-customizable smart phones’s services from the tap patterns. A user can generate a pattern by tapping the input pad several times and register it by using a smart phone’s favorite program. More specifically, when the user inputs a tap pattern on the input pad, the proposed ∙제1저자 : 김영빈 ∙교신저자 : 김유희 ∙투고일 : 2014. 5. 20, 심사일 : 2014. 6. 23, 게재확정일 : 2014. 8. 8. * 동국대학교 컴퓨터공학과(Department of Computer Science and Engineering, Dongguk University) ** 신한대학교 IT융합공학부 컴퓨터공학전공(Department of Computer Science and Engineering, Shinhan University) 96 Journal of The Korea Society of Computer and Information August 2014 application searches a stored similar tap pattern and can run a service registered on it by measuring tap pattern similarity. Our experimental results show that the proposed method helps to guarantee the higher recognition rate and shorter input time for a variety of tap patterns. ▸
Extending Fault Blocks to Avoid Livelock for a Logic-Based Distributed Fault-Tolerant Routing Algorithm of Networks-on-Chip

For logic-based distributed fault-tolerant routings, livelock is a troublesome challenge. In this paper, we prove the sufficient conditions which make the fault-tolerant routing PR-WF [1] to be livelock-free. Due to the diversity of fault blocks, it is almost impossible to verify the sufficient condition of livelock-free by a formal method. In this paper, both visual analysis and enumerative simulation methods are taken to prove livelock theorems. In order to avoid livelock, an algorithm is presented to extend fault blocks. Experimental results show that, it has to disable no more than 1.8% no-faulty links to avoid livelock if the true faulty link rate is 10%.
Working Paper Series Using the Kalman Filter to Smooth the Shocks of a Dynamic Stochastic General Equilibrium Model

This paper shows how to use the Kalman filter (Kalman 1960) to back out the shocks of a dynamic stochastic general equilibrium model. In particular, we use the smoothing algorithm as described in Hamilton (1994) to estimate the shocks of a sticky-prices and sticky-wages model using all the information up to the end of the sample. JEL classification: C63, C68, E37
Characterization of one time‐sequential stereoscopic 3d display ‐ Part I: Temporal analysis ‐

Abstract A method of characterizing time‐sequential stereoscopic 3D displays based on the measurement of the temporal behavior of the systems vs. the grey levels is proposed. An Nvidia 3D vision kit with a 3D‐ready SAMSUNG 2233RZ LCD display is characterized in the paper. OPTISCOPE SA especially designed for the precise measurements of the luminance and temporal behavior of LCD displays was used. The transmittance and response time of the shutter glasses was first evaluated. Then the grey‐to‐grey response times of the display were measured. The 2D and 3D behaviors of the display were then compared. Finally, the temporal behavior of the complete system was modeled, and the grey‐level variations on one view were deduced as a function of the synchronization and level of the other eye. The main sources of imperfection were identified and quantified, and a full computation of the system performances was done.
A Critical Evaluation of the Contribution of Digital Learning in Small and Medium Sized Enterprises in Europe : A Literature Review

Small and medium-sized enterprises (SMEs) are critical to European economies through their significant and continuous contribution to employment and GDP growth. In 2018, SMEs represented 99.9% of an estimated 19.3 million enterprises in the EU and provided around 65 million jobs representing two-thirds of all employment. The literature suggests that digital learning is a good match for SMEs’ learning requirements. It is informal, flexible and easily-accessible, and compared to faceto-face provision, it saves time and travelling expenses (for employees to go to the training providers). Above all, recent studies show that e-learning, if done well, is as effective as face-to-face learning, if not better. However, the literature also suggests that there are still many challenges for the adoption of digital training by European SMEs. These include a general lack of company learning strategy and a lack of awareness of opportunities offered by online training among both employers and employees. Moreover, technology and attitudes of owner/managers and employees seem to form potential drawbacks to digital learning initiatives in SMEs. This paper reviews the literature relating to digital learning in European SMEs. While noting its scarcity (particularly when compared to research about digital learning in larger enterprises), it critically evaluates the existing literature to determine the potential role of digital learning in small organisations. It argues that current digital learning provision is narrowly focused on job-specific training. This, with the help of new national and EU strategies, should change to a more holistic lifelong learning process that values the employees’ lifeworld.
Ontology Self-Perfect Based Lexical Chain for IE

The perfection of an ontology knowledge base is essential to the research of ontology-based information extraction (IE). Information extraction in short documents with sparse vocabularies in the ontology will cause the problem of semantic deviation. That will affect the indexes of information extraction in short documents. In this paper, we propose a method of using lexical chain to perfect the ontology knowledge base automatically in order to cover the shortage of manual constructed ontology. We can solve the problem of semantic information deficiency caused by the sparse vocabulary in the ontology effectively through the use of this method. We proved the validity of our method through the series of experiments we conducted.
Microarray Data Classification Based on Evolutionary Multiple Classifier System

Designing an evolutionary multiple classifier system (MCS) is a relatively new research area. In this paper, we propose a genetic algorithm (GA) based MCS for microarray data classification. We construct a feature poll with different feature selection methods first, and then a multi-objective GA is applied to implement ensemble feature selection process so as to generate a set of classifiers. When this GA stops, a set of base classifiers are generated. Here we use all the nondominated individuals in last generation to build an ensemble system and test the proposed ensemble method and the method that apply a classifier selection process to select proper classifiers from all the individuals in last generation. The experimental results show the proposed ensemble method is roubust and can lead to promising results.
Effects of Computer-Based Clinical Decision Support Systems on Physician Performance and Patient Outcomes

Context. —Many computer software developers and vendors claim that their systems can directly improve clinical decisions. As for other health care interventions, such claims should be based on careful trials that assess their effects on clinical performance and, preferably, patient outcomes. Objective. —To systematically review controlled clinical trials assessing the effects of computer-based clinical decision support systems (CDSSs) on physician performance and patient outcomes. Data Sources. —We updated earlier reviews covering 1974 to 1992 by searching the MEDLINE, EMBASE, INSPEC, SCISEARCH, and the Cochrane Library bibliographic databases from 1992 to March 1998. Reference lists and conference proceedings were reviewed and evaluators of CDSSs were contacted. Study Selection. —Studies were included if they involved the use of a CDSS in a clinical setting by a health care practitioner and assessed the effects of the system prospectively with a concurrent control. Data Extraction. —The validity of each relevant study (scored from 0-10) was evaluated in duplicate. Data on setting, subjects, computer systems, and outcomes were abstracted and a power analysis was done on studies with negative findings. Data Synthesis. —A total of 68 controlled trials met our criteria, 40 of which were published since 1992. Quality scores ranged from 2 to10, with more recent trials rating higher (mean, 7.7) than earlier studies (mean, 6.4) (P,.001). Effects on physician performance were assessed in 65 studies and 43 found a benefit (66%). These included 9 of 15 studies on drug dosing systems, 1 of 5 studies on diagnostic aids, 14 of 19 preventive care systems, and 19 of 26 studies evaluating CDSSs for other medical care. Six of 14 studies assessing patient outcomes found a benefit. Of the remaining 8 studies, only 3 had a power of greater than 80% to detect a clinically important effect. Conclusions. —Published studies of CDSSs are increasing rapidly, and their quality is improving. The CDSSs can enhance clinical performance for drug dosing, preventive care, and other aspects of medical care, but not convincingly for diagnosis. The effects of CDSSs on patient outcomes have been insufficiently studied. JAMA. 1998;280:1339-1346
Pharmacological Agents in Post Stroke Recovery

Stroke is the second commonest cause of death and disability in the world. In spite of the Amazonian advances in understanding of the pathophysiology and pathogenesis of stroke, there is unfortunately limited number of agents available in the armamentarium to fight stroke. There is therefore a compelling need to develop novel therapies to target restoration of the damaged brain and not merely protect or treat in the acute phase of the disease. By developing interventions which can be administered several days or weeks after the onset of stroke, which can essentially remodel the intact brain so as to compensate for the infarction, many more patients can be treated and brought back to their previous level of integration into the society as useful members. A variety of therapeutic approaches that could be considered Neuroprotective and Neurorestorative are currently in preclinical and clinical trials after stroke. There are essentially two varieties of restorative approaches. One is cell- based and includes stem cell transplantation with and without augmentation with growth factor and other variety is the pharmacological approach. Since the current review deals only with the later, we will deliberate on the several strategies currently being explored under this banner which include statins, erythropoietin and analogs, human chorionic gonadotropin, growth factors, and agents that increase cyclic GMP. Recent published literature was searched using PubMed and Google for the article reporting on Pharmacological approaches in Post stroke recovery.
Effective Discussion Through a Computer-Mediated Anchored Forum

Computer-mediated discussion forums (such as newsgroups or those in instructional management software environments) are becoming common in higher education. Such forums are interesting because they are not only one of the easiest technologies to add to a class but may also provide an important learning opportunity for students. However, simply making a discussion forum available does not mean that it will be used effectively to enable learning. In this paper, we explore the idea that specific features of a discussion forum may increase the likelihood of effective discussions taking place within the forum. We define effective discussions as those that are sustained and are focused on topics related to class learning goals. We then describe the specifications for an electronic discussion forum-a computer-mediated anchored discussion forum-that we propose makes sustained on-topic discussion more likely. We report on the results of two studies that support this proposal. We end by exploring implications for research into computer-supported discussion tools for learning and their design.
The Online Big Blue Test for Promoting Exercise : Health , Self-Efficacy , and Social Support

Background: Recent articles have documented the influence of self-efficacy and social support on exercising. Simultaneously, insulin use is also related to the perception of selfefficacy and social support in patients with diabetes. We combine these two ideas through the Big Blue Test experience in a social networking site and propose to analyze whether a change in blood sugar levels after completion of the Big Blue Test and insulin use are related to the perception of selfefficacy and social support in patients with diabetes. Materials and Methods: To undergo the Big Blue Test, 3,926 participants voluntarily joined the Diabetes Hands Foundation. Responses were analyzed using descriptive analysis. Results: The participants who reduced their blood glucose after exercise the least were those with lower self-efficacy and also with lower perceived social support. There seems to have been no relationship between changes in blood sugar level and the explicit intention of doing exercise in the future. Insulindependent participants demonstrated a lower perception of self-efficacy and social support than non–insulin-dependent participants. Conclusions: Change in blood glucose level or being insulin-dependent or not do not explain completely a health behavior such as exercise. Hence, self-efficacy and social support have an impact on behavioral change such as exercise to become a habit in people with diabetes, and this experience through a social networking site is an important tool for this behavioral change. For exercise to become a habit in people with diabetes, it is necessary to consider not only the crucial physiological variables, but also those psychological variables that clearly have an impact on behavioral change.
Stimulus format and working memory in fast and frugal strategy selection

The necessity of retrieving complex attribute information from long-term memory has been shown to elevate processing costs and boost the use of simple decision heuristics. This effect was confined to verbal as opposed to pictorial attribute information. In a large-scale experiment (N = 151), either verbal or pictorial information for inferences had to be retrieved from long-term memory. Concurrent secondary tasks either interfered with the Central Executive, the Phonological Loop, or the Visuo-Spatial Sketchpad. These are hypothetical components of working memory responsible for processing different information formats. Whereas the information format massively affected strategy selection, there was an additive rather than interactive effect of secondary task, suggesting enhanced retrieval costs irrespective of the information format. An additional analysis in terms of a similarity match as proposed by exemplar-based models did not enhance the explanation of the data. Copyright © 2006 John Wiley & Sons, Ltd.
Wireless systems-on-chip

The miniaturization of electronics for wireless applications has experienced a tremendous progress in recent years and is today one of the most challenging playgrounds in the semiconductor industry for the development of mixed-signal analog-digital integrated systems. The definition of the interface between the analog and digital domains, from RF to baseband, plays a fundamental role in the overall system partitioning for it influences the part count of the complete solution, the implementation technologies, power dissipation and, of course, overall production cost.
Power Control Optimization Algorithm in Cognitive Radio Network

For cognitive radio environment needs of different users, A space-time diversity multi-carrier code division multiple access (OFDM-CDMA) technology architecture of the cognitive radio (CR) system is used, a novel non-cooperative power control algorithm and the price game (NPGP), in order to protect the economic interests of the spectrum of network providers, to achieve a fair and efficient allocation of spectrum resources have cognitive and improve spectrum efficiency. Simulation results show that the algorithm under the protection of the economic spectrum premise network provider benefits, both to ensure the fair and efficient allocation of spectrum resources, and achieve effective control of power users, system performance improved significantly.
Bursitis mit schwerwiegenden Sehnen- und Muskelnekrosen an der Aussenseite der Kniegelenke beim Rind

Bei 21 Tieren wurden chronische «Liegebeulen» an der Aussenseite der Kniegelenke, auch als «Perigonitis», «Stable-Syndrom» oder «Bursitis bicipitalis femoris» bezeichnet, naher untersucht. Ultrasonographisch fielen eine vermehrt gefullte Bursa subtendinea m. bicipitis femoris distalis und Strukturveranderungen von Sehnen, Muskeln, Unterhaut und Faszien auf. Weichteilschwellung und eine unruhige Kontur des lateralen Tibiakondylus waren im Rontgenbild kennzeichnend. Pathologisch-anatomisch waren der M. glutaeobiceps im Bereich seiner Endsehne, die genannte Bursa sowie das laterale Kollateralband des Kniegelenks, die am lateralen Kondylus des Os femoris entspringenden Muskeln sowie der laterale Tibiakondylus nekrotisch verandert und von Granulationsgewebe durchsetzt. Histologisch standen Koagulationsnekrosen der sehnigen Anteile, in denen zum Teil Onchozerken nachweisbar waren, im Vordergrund der Befunde. Die festgestellten gravierenden Gewebeveranderungen erklarten hinreichend die klinischen Symptome und die vorsichtige Prognose im fortgeschrittenen Erkrankungsstadium.
An Improved Genetic Algorithm for Multidimensional

This paper mainly studies on the valid solution algorithm for multidimensional assignment problem of data association, proposes a heuristic searching algorithm for multidimensional assignment problem on the basis of order-searching algorithm and m-best algorithm, and presents a heuristic searching genetic algorithm for multidimensional assignment by fusing the heuristic searching algorithm and the genetic algorithm efficiently. The later algorithm can not only search the whole solution space quickly and efficiently by using the heuristic searching algorithm, but also can memorize and improve the better solution obtained in the initial step by using cross and mutation operations. So the convergence speed is accelerated and the accuracy of the convergence is improved. Simulation results show that the new algorithms are feasible and effective.
Effects of refractoriness on the statistics of the post-membrane output IPIs

Refractory period is an important factor that affects output inter-pulse intervals (LPIs) statistics at post-membrane position of a gap function. However this factor is seldom considered in analyses of the synaptic pulse train transmission. Based on the previous theoretical study, a general form of the p.d. f. of post-membrane output IPIs is obtained in this work. The exponential and Gaussian distributed input IPIs to the gap junction are used for verification, and the results show that the theoretical results are consistent with the simulated ones for the two cases studied.