Miracle-dz/UniFAR-FTUs huggingface dataset:
A NEW METHOD FOR THE AUTOMATIC DETECTION OF VENTRICULAR AND ATRIAL PREMATURE CONTRACTIONS

Kalp-damar hastaliklarinin tanisinda kullanilan Elektrokardiyogram (EKG) isaretleri, bu hastaliklarinin izlenmesi surecinde surekli olarak kaydedilip degerlendirilmeleri, uygun tani ve tedavinin belirlenmesi ve olusabilecek komplikasyonlarin gozlemlenmesi acisindan oldukca onem tasimaktadir. Kalp hastaliklari arasinda en sik karsilasilan rahatsizliklar, aritmilerden kaynaklanmaktadir. Bu calismada, kalp aritmilerinden olan Erken Kulakcik Vurusu (APC) ve Erken Karincik Vurusunu (PVC) bilgisayar ortaminda otomatik tespit ederek hekime kolaylik saglamak hedeflenmistir. Bu kapsamda, ilk olarak MIT-BIH Aritmi veri tabanindan EKG sinyalleri alinmis ve sinyaller uzerinde bulunan P, Q, R, S, T kritik noktalari tespit edilmistir. Sonrasinda, Yapay Sinir Aglari (YSA) kullanilarak APC, PVC ve Normal Sinus Ritmi (NOR) olarak aritmi siniflandirilmasi yapilmistir. Farkli YSA yapilari arasinda en iyi sonucun Cok Katmanli Algilayici (CKA) ile elde edildigi gorulmus ve siniflandirmada test dogrulugunun 3 katli capraz dogrulama ile %99.78, 10 katli capraz dogrulama ile de %99.89 oldugu belirlenmistir.
THE IMPACT OF INFORMATION TECHNOLOGY ON FIRM PERFORMANCE: AN EMPIRICAL STUDY ON THE ROLE OF THE ALIGNMENT OF INFORMATION TECHNOLOGY WITH BUSINESS STRATEGY

Information technology (IT) does not automatically improve firm performance. It is one essential tool that should be coupled with organizational factors such as business strategies. A firm can maximize the value from its IT investments by aligning them with business strategies because IT improves scope economies and coordination. In this paper, we examine empirically the contribution of IT to firm performance measured by net profit, focusing on the alignment of IT with business strategies such as vertical disintegration and product diversification. Empirical analysis shows that IT does not directly improve firm performance, but that IT improves firm performance in conjunction with vertical disintegration and product diversification. This research provides empirical evidence that alignment of IT with business strategies such as vertical disintegration and product diversification can improve firm performance.
Evaluation of Size of Public Sector in Malaysia

There are two important sectors in a country, namely, the public sector and private sector. Unlike private sector, public sector is liable to ensure that there is an effective, efficient and economical utilization of public funds or resources to achieve the objectives of the government. Malaysian public sector was highlighted as having a large proportion of civil service compared to other countries in the world. Hence, the issue has triggered the researchers to conduct the current study. Generally, the objective of this study is to evaluate the size of public sector in Malaysia based on the percentage of total public sector expenditure to GDP. This study adopted a descriptive approach and data on public sector expenditure was retrieved from the Economic Reports produced by the Ministry of Finance from 1980-2017. From the evaluation, it can be concluded that the size of public sector in Malaysia was slightly bigger in 1980s compared to 1990s and 2000 onwards. The trend after 1986 was decreasing and became stable from 2000 onwards. Keywords— Public sector, Government, Size, Malaysia, Expenditure
Implementation Differences Between DSS/BI and other Types of Information Systems

This paper considers concerns that arise in the implementation of TPS and those that arise in the implementation of DSS/BI systems, noting differences between the two. Important management focus areas in implementing TPS include low-level user training, extensive user testing, change management and cut-over strategy. With DSS/BI, attention should focus on data quality, higher-level user training, having an executive “champion” and adapting the system to its users. Managers approaching an implementation project must be aware of these differences, as should academics who write textbooks or who teach from textbooks that do not cover them adequately.
Unsafe abortion: Global and regional estimates of the incidence of unsafe abortion and associated mortality in 2008. Sixth edition.

This sixth edition of the WHO Global and regional estimates of unsafe abortion and associated mortality is intended for policy-makers and programme managers health workers and nongovernmental organizations in the area of sexual and reproductive health researchers groups and individuals concerned with unsafe abortion as well as others interested in information on unsafe abortion. More details of the data and methods used in the estimates are given in Annex 1. A background to and characteristics of unsafe abortion are presented in Chapter 1. To better understand the levels and trends in unsafe abortion the legal context of abortion and barriers both to abortion services and to medical care for women who have had an unsafe abortion and experience complications are described in Chapters 2 and 3. Chapter 4 covers interactions in abortion unplanned pregnancy contraceptive use and failure and unmet need for contraception; as well as the role that abortion plays in the transition from high to low fertility levels. The health consequences of unsafe abortion and the global burden for women and for society are examined in Chapter 5. The distinction in rates and ratios when calculated for all countries or for countries with evidence of unsafe abortion are explained in Chapter 6. The global incidence and subregional differentials are presented in Chapter 7 with an in-depth analysis of the levels and trends. The geographical regions and subregions referred to in this report are those classified by the United Nations Population Division (UNPD). Chapter 8 presents the mortality estimates. The report highlights the urgency in preventing unsafe abortion and concludes (Chapter 9) with policy and programme recommendations to reduce unsafe abortion.
A 4th-order active-Gm-RC reconfigurable (UMTS/WLAN) filter

A fourth-order low-pass continuous-time filter for a UMTS/WLAN receiver of a reconfigurable terminal is presented. The filter uses the cascade of two Active-G m -RC biquad cells. A single opamp is used for each biquad and its unity-gain-bandwidth is comparable to the filter cut-off frequency. Thus, the opamp power consumption is strongly reduced w.r. t. other closed-loop filter configurations. The cut-off frequency deviation due to the technological spread, aging and temperature variation is adjusted by an on-chip tuning circuit. The device in a 0.13 μm CMOS technology occupies a 0.9 mm 2 area and it consumes 3.4 mW and 11 4.2 mW for the UMTS and WLAN, respectively. The full chip has been designed using an automatic design tool, which is validated by the agreement between the experimental results and the expected performance.
Second language acquisition and the Critical Period Hypothesis.

Contents: Preface. D. Birdsong, Introduction: Whys and Why Nots of the Critical Period Hypothesis for Second Language Acquisition. C.M. Weber-Fox, H.J. Neville, Functional Neural Subsystems Are Differentially Affected by Delays in Second Language Immersion: ERP and Behavioral Evidence in Bilinguals. J.R. Hurford, S. Kirby, Co-Evolution of Language Size and the Critical Period. L. Eubank, K.R. Gregg, Critical Periods and (Second) Language Acquisition: Divide et Impera. J.E. Flege, Age of Learning and Second Language Speech. T. Bongaerts, Ultimate Attainment in L2 Pronunciation: The Case of Very Advanced Late L2 Learners. E. Bialystok, K. Hakuta, Confounded Age: Linguistic and Cognitive Factors in Age Differences for Second Language Acquisition.
Standardized Scalable Relocatable Context-Aware Middleware for Mobile aPplications (SCAMMP)

—The penetration of handheld devices (especially smart-phones) is predicted to be over one billion in the next ﬁve years. These devices are increasingly equipped with new sensors offering a great potential for developing context-aware mobile applications that can enhance user experience. Unfortunately, the data provided by these sensors are of low-level (raw data) and diverse, ranging from physical to virtual. This makes embedding contextual information into mobile applications a difﬁcult task. Presenting these raw sensors’ data in a uniﬁed format, augmenting them into useful high-level context information and offering them through a well formalized standard middleware service can make this task easier. In this work, we present the architecture of a middleware platform that provides an open standard interface offering high-level information to the application layer. This platform maintains user context information in a ﬁnite state machine through state engines. State engines that represent user states can be added and removed any time and hence the openness of the platform originates. The platform uses layered approach and is composed of two relocatable layers: data acquisition-augmentation (pre-processing) layer and decision layer. A case study was performed to validate the functionality of the platform.
Electronic Commerce Adoption Approaches by SMMEs Western Cape, South Africa

E-commerce improves value chain integration, enables customisation and also provides smaller companies opportunity to reach customers worldwide. However the approach to e-commerce adoption poses small businesses management with many challenges, one of which is the choice of an approach to adopt e-commerce. One option is an “adoption ladder” approach proposed by a number of researchers depicting e-commerce adoption as a “step-by-step” process, from simple email to a virtual integrated business. The other option is a “managed strategic adoption” approach where proponents of this approach argue that reaching e-commerce is a result of a management decision to move directly to e-commerce, based on business goals and requirements. This approach does not follow a stepped approach. Although the literature reports on a number of aspects of e-commerce adoption, no clear guidelines are apparent to determine how Small Medium Micro Enterprises(SMMEs) should progress, or move into e-commerce. This paper investigates two e-commerce adoption approaches and reports on the approaches followed by a sample of SMMEs in the Western Cape of South Africa. In addition a conceptual model on e-commerce adoption approaches is proposed and theoretical guidelines explored to assist SMMEs to choose between the two approaches.
Comparative genomics of Hox and ParaHox genes among major lineages of Branchiopoda with emphasis on tadpole shrimps

Hox and ParaHox genes (HPHGs) are key developmental genes that pattern regional identity along the anterior–posterior body axis of most animals. Here, we identified HPHGs in tadpole shrimps (Pancrustacea, Branchiopoda, Notostraca), an iconic example of the so-called “living fossils” and performed a comparative genomics analysis of HPHGs and the Hox cluster among major branchiopod lineages. Notostraca possess the entire Hox complement, and the Hox cluster seems to be split into two different subclusters, although we were not able to support this finding with chromosome-level assemblies. However, the genomic structure of Hox genes in Notostraca appears more derived than that of Daphnia spp. , which instead retains the plesiomorphic condition of a single compact cluster. Spinicaudata and Artemia franciscana show instead a Hox cluster subdivided across two or more genomic scaffolds with some orthologs either duplicated or missing. Yet, branchiopod HPHGs are similar among the various clades in terms of both intron length and number, as well as in their pattern of molecular evolution. Sequence substitution rates are in fact generally similar for most of the branchiopod Hox genes and the few differences we found cannot be traced back to natural selection, as they are not associated with any signals of diversifying selection or substantial switches in selective modes. Altogether, these findings do not support a significant stasis in the Notostraca Hox cluster and further confirm how morphological evolution is not tightly associated with genome dynamics.
Algorithmes séquentiels pour l'analyse de données par méthodes à noyau Sequential algorithms for data analysis with kernel-based methods

and key words In recent years, many methods of analysis and classification of data based on reproducing kernel Hilbert spaces have been developed. Most of these methods incorporate the fundamental principle dictated by Vapnik et al. in Support Vector Machines, which consists in extending linear algorithms to the non-linear case by using kernels. Kernel Fisher Discriminant (KFD) is one of these nonlinear methods which provides interesting results in many practical cases. However, the use of KFD requires storage and processing of matrices whose size equals the number of available data. This may be critical when the training set is large. This paper presents a sequential KFD algorithm which does not require the manipulation of large matrices. Sequential algorithms that fulfil the same requirements as KFD are also presented to perform Kernel Principal Component Analysis (KPCA) and Kernel Generalized Discriminant Analysis (KGDA). Sequential algorithms, KPCA, KFD, Mercer kernels, SVM. traitement du signal 2004_volume 21_numero 2 97
Review of Face Recognition Techniques

Face Recognition is used for real time application. So reliability is the more important matter for security. Facial Recognition is rapidly becoming area of interest. Face biometrics is useful for authentication that recognizes face. This paper represents review of face recognition methods and discusses their advantages and disadvantages. The purpose of this paper is to provide a survey of face recognition methods that appeared in the literature over the past decade which was not discussed in the previous survey and also categorize them into meaningful approaches.
Parallelization and Performance of Portfolio Choice Models

We show how applications in computational economics can take advantage of modern parallel architectures to reduce the computation time in a wide array of models that have been, to date, computationally intractable. The specific application comes from solving a portfolio choice model over the lifecycle in the presence of undiversifiable labor income risk, borrowing and short sale constraints. We provide an efficient parallel implementation and introduce a new benchmark for parallel computer architectures from an emerging and important class of applications. We conclude that emerging applications in this area of computational economics exhibit adequate parallelism to achieve, after a number of optimization steps, almost linear speedup for system sizes up to 64 processors on today's hardware shared memory multiprocessors.
The effects of an additional weight aquatic exercise program on balance and lower extremity strength in persons with stroke: randomized controlled study

Objective: The purpose of this study was to investigate the effects of an additional weight aquatic exercise program on the balance and lower extremity strength on aquatic environment in persons with stroke. Design: Randomized controlled trial. Methods: All subjects were randomly divided into three groups where thirteen subjects were in the additional weight aquatic exercise group, twelve subjects in the aquatic exercise group, and fifteen subjects in the control group. Subjects received a graded aquatic exercise program for 30 minutes, with 3 sessions per week for 6 weeks, and subjects in all groups received conventional physical therapy. All subjects were assessed with the Medical Research Council (MRC), the Berg Balance scale (BBS), Timed Up and Go test (TUG), and 10-meter walk test (10MWT) pre and post intervention. Results: The MRC, BBS, TUG, and 10MWT scores significantly improved post-intervention (p<0.05), and the control group also had significantly improved in all areas post-treatment (p<0.05). In addition, it has been confirmed that the additional weight aquatic exercise group had significantly improved in MRC, BBS, and TUG scores compared with the aquatic exercise and control group (p<0.05). Conclusions: The findings of this study suggested that the additional weight aquatic exercise program improves lower extremity and balance in persons with stroke.
A Hotspots-Free Overlay Cooperative Caching Scheme

Overlay Web caching (OCC) exploits resources of peers to provide scalable and cost-effective web caching service. In a typical OCC system, which is often characterized by highly heterogeneous node capacities and skewed query distributions, the resources of each node may be utilized in an unbalanced manner, i.e., some nodes are overloaded and become "hotspots". Unfortunately, there are no effective load balancing mechanisms in existing OCC systems to relief the "hotspots". This paper proposes a hotspots-free OCC scheme called HFOCC for multimedia content delivery service. Through replicating "hot" objects adaptively to lightly loaded nodes, loads are distributed more evenly across the whole network. Consequently, the hotspots are relieved. In order to utilize cache resource more effectively, HFOCC splits a node's cache space dynamically into two parts, namely the home cache and the replica cache, and manages them by a uniform policy. With a "soft" lifetime control mechanism, the redundant object replicas are deleted adaptively, and the system performs well under dynamically changing workloads. Experimental results show that HFOCC improves resource utilization and system throughput markedly.
Challenging Case in Clinical Practice: Improvement in Chronic Osteoarthritis Pain with Use of Arnica Oil Massage, Therapeutic Ultrasound, and Acupuncture—A Case Report

Chronic pain affects approximately one in five Canadians and costs the healthcare system approximately $62 billion each year. The average sufferer has lived with chronic pain for six years, has tried an average of 2.4 prescribed pain medications, and their risk of committing suicide is doubled compared to those living without chronic pain. Osteoarthritis (OA) in particular is accompanied with chronic pain and, unlike other causes of chronic pain, does not resolve. Surgery for pain relief is indicated in some individuals. However, for those older than 80 years of age, surgical outcomes are associated with a morbidity rate of 51% and a mortality rate of 7%. This case report describes MK, an 82-year-old Caucasian female who presented with extreme deterioration from OA in her left shoulder. Following treatment with arnica oil massage, acupuncture, and later therapeutic ultrasound, MK experienced reduction in pain after three weekly treatments. Over the course of treatment, pain continued to decrease, and she regained some functionality. After 36 treatments, she has majorly reduced medication use and has cancelled a total arthroscopy surgery. No study to date exists using the combination of acupuncture with therapeutic ultrasound and arnica oil massage.
An Automated Disruption-Tolerant Key Management Framework for Critical Systems

: Key management is critical to secure operation. Distributed control systems, such as Su-pervisory Control and Data Acquisition (SCADA) systems, have unique operational requirements that make conventional key management solutions less effective and burdensome. This paper pres - ents a novel Kerberos-based framework for automated, disruption-tolerant key management for control system environments. Experimental tests and their results are presented to quantify the ex - pected performance overhead of this approach. Additionally, Zeek sensor analytics are presented to aid in monitoring the health and security of the key management framework operation.
Text to Speech Synthesis with Prosody feature: Implementation of Emotion in Speech Output using Forward Parsing

One of the key components of Text to Speech Synthesizer is prosody generator. There are basically two types of Text to Speech Synthesizer, (i) single tone synthesizer and (ii) multi tone synthesizer. The basic difference between two approaches is the prosody feature. If the output of the synthesizer is required in normal form just like human conversation, then it should be added with prosody feature. The prosody feature allows the synthesizer to vary the pitch of the voice so as to generate the output in the same form as if it is actually spoken or generated by people in conversation. The paper describes various aspects of the design and implementation of speech synthesizer, which is capable of generating variable pitch output for the text. The concept of forward parsing is used to find out the emotion in the text and generate the output accordingly.
Successful treatment of refractory external pancreatic fistula by transpapillary stent insertion into the fistula tract (endoscopic fistuloduodenostomy)

Management of external pancreatic fistulae (EPF) resulting from iatrogenic percutaneous drainage of acute pancreatic collections is difficult.1 The outcome is good when transpapillary insertion of endoprosthesis is able to completely bridge the disruption of the pancreatic duct.2 However, when bridging of disruption is not achieved the EPFs are difficult to treat. While percutaneous modalities have been used previously to place stents into the fistula tract,3 we describe a case of 55 year old lady who was treated with endoscopic transpapillary placement of stent into the fistula tract thereby creating an endoscopic fistuloduodenostomy.
Conditions for Open-Ended Evolution in Immigration Games

The Immigration Game (invented by Don Woods in 1971) extends the solitaire Game of Life (invented by John Conway in 1970) to enable two-player competition. The Immigration Game can be used in a model of evolution by natural selection, where fitness is measured with competitions. The rules for the Game of Life belong to the family of semitotalistic rules, a family with 262,144 members. Woods' method for converting the Game of Life into a two-player game generalizes to 8,192 members of the family of semitotalistic rules. In this paper, we call the original Immigration Game the Life Immigration Game and we call the 8,192 generalizations Immigration Games (including the Life Immigration Game). The question we examine here is, what are the conditions for one of the 8,192 Immigration Games to be suitable for modeling open-ended evolution? Our focus here is specifically on conditions for the rules, as opposed to conditions for other aspects of the model of evolution. In previous work, it was conjectured that Turing-completeness of the rules for the Game of Life may have been necessary for the success of evolution using the Life Immigration Game. Here we present evidence that Turing-completeness is a sufficient condition on the rules of Immigration Games, but not a necessary condition. The evidence suggests that a necessary and sufficient condition on the rules of Immigration Games, for open-ended evolution, is that the rules should allow growth.
Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games

We propose the new problem of learning to recover reasoning chains from weakly supervised signals, i.e., the question-answer pairs. We propose a cooperative game approach to deal with this problem, in which how the evidence passages are selected and how the selected passages are connected are handled by two models that cooperate to select the most confident chains from a large set of candidates (from distant supervision). For evaluation, we created benchmarks based on two multi-hop QA datasets, HotpotQA and MedHop; and hand-labeled reasoning chains for the latter. The experimental results demonstrate the effectiveness of our proposed approach.