Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical Practice Guideline for Cardiac Rehabilitation in Korea

Objective Though clinical practice guidelines (CPGs) for cardiac rehabilitation (CR) are an effective and widely used treatment method worldwide, they are as yet not widely accepted in Korea. Given that cardiovascular disease is the second leading cause of death in Korea, it is urgent that CR programs be developed. In 2008, the Government of Korea implemented CR programs at 11 university hospitals as part of its Regional Cardio-Cerebrovascular Center Project, and three additional medical facilities will be added in 2019. In addition, owing to the promotion of CR nationwide and the introduction of CR insurance benefits, 40 medical institutions nationwide have begun CR programs even as a growing number of medical institutions are preparing to offer CR. The purpose of this research was to develop evidence-based CPGs to support CR implementation in Korea. Methods This study is based on an analysis of CPGs elsewhere in the world, an extensive literature search, a systematic analysis of multiple randomized control trials, and a CPG management, development, and assessment committee comprised of 33 authors—primarily rehabilitation specialists, cardiologists, and thoracic surgeons in 21 university hospitals and two general hospitals. Twelve consultants, primarily rehabilitation, sports medicine, and preventive medicine specialists, CPG experts, nurses, physical therapists, clinical nutritionists, and library and information experts participated in the research and development of these CPGs. After the draft guidelines were developed, three rounds of public hearings were held with staff members from relevant academic societies and stakeholders, after which the guidelines were further reviewed and modified. Principal Conclusions CR involves a more cost-effective use of healthcare resources relative to that of general treatments, and the exercise component of CR lowers cardiovascular mortality and readmission rates, regardless of the type of coronary heart disease and type and setting of CR. Individualized CR programs should be considered together with various factors, including differences in heart function and lifestyle, and doing so will boost participation and adherence with the CR program, ultimately meeting the final goals of the program, namely reducing the recurrence of myocardial infarction and mortality rates.
The Value of MicroRNAs as an Indicator of the Severity and the Acute Phase of Spinal Cord Injury

Objective To assess the role of miRNA-21 and miRNA-223 in a balloon-compression model of spinal cord injury (SCI). Methods A total of 50 male Wistar rats (n=50) were divided into the three groups: the group A (n=15, insertion of the unflated Fogarty balloon catheter), the group B (n=15, insertion of the Fogarty balloon catheter at a volume of 20 μL) and the group C (n=15, insertion of the Fogarty balloon catheter at a volume of 50 μL). After the behavioral test, RNA isolation, microRNA expression profiling using microarrays and quantitative polymerase chain reaction, measurements were compared between the three groups. Results Despite a lack of significant differences in time-dependent changes in miRNA-21 expression levels between the three groups at 4 hours, there were significant differences in them at 1, 3, and 7 days (p<0.05). Moreover, there were significant differences in time-dependent changes in miRNA-223 expression levels between the three groups at 4 hours and 1, 3, and 7 days (p<0.05). Furthermore, miRNA-223 expression levels reached the highest at 1 day but were decreased with time thereafter in all the three groups. Conclusion Expression levels of miRNA-21 and miRNA-223 might be associated with the severity and acute phase of SCI, respectively. It is mandatory, however, to analyze changes in levels of inflammatory markers and the relevant biological pathways.
Elevated Insulin and Insulin Resistance are Associated with Altered Myelin in Cognitively Unimpaired Middle‐Aged Adults

Insulin regulates metabolism and influences neural health. Insulin resistance (IR) and type II diabetes have been identified as risk factors for Alzheimer disease (AD). Evidence has also suggested that myelinated white matter alterations may be involved in the pathophysiology of AD; however, it is unknown whether insulin or IR affect the underlying myelin microstructure. The relationships between insulin, IR, and myelin were examined, with the hypothesis that IR would be associated with reduced myelin.
Application of Principal Component Analysis-BP Neural Network in Spare Parts Requirement

The requirement forecasting of spare parts has played an important part in the equipment maintenance.Now,most forecast methods are using the empirical data which can't satisfy the practical requirement.A method which is based on the principal component analysis is proposed for the spare parts forecasting in the model of BP neural network.First,the principal component analysis method is used to remove the relevance of the original input data,to reduce the data dimension,to reduce the network size and select an appropriate hidden layer's BP neural network.In the end,get a good result through a combination of case analysis.
Examination of Teachers’ in-Service Training Needs in the Field of Instructional Technology: An Evaluation in Light of Applications Implemented at FATIH Project

Bu calismada FATIH Projesi’nin uygulandigi ortaogretim kurumlarinda calisan ogretmenlerin, egitimde teknoloji kullaniminda ihtiyac duyduklari ve hizmet-ici egitim faaliyetleriyle ele alinmasini istedikleri konularin belirlenmesi amaclanmistir. Bu cercevede degisik branslarda 60 ogretmenin gorusune basvurulmustur. Ogretim teknolojileri (OT) alaninda gereksinim duyulan hizmet-ici egitim konu basliklarini saptamak icin katilimci ogretmenlere bir anket uygulanmistir. Bu anket araciligiyla ayrica katilimci ogretmenlerin ogretim teknolojileri kullaniminda karsilastiklari sorunlarla ilgili gorusleri ortaya cikarilmistir. Arastirmanin bulgularina dayali olarak ogretmenlerin hizmet-ici egitimde ele alinmasina en fazla ihtiyac duydugu baslica konularin; “Egitimde Teknoloji Kullanimi”, “Internetin Egitim Amacli Kullanimi” ve “Ogretim Materyalini Etkin Kullanma” oldugu sonucuna ulasilmistir. Calisma grubundaki ogretmenlerin cogunlugunun, soz konusu konularin buyuk bolumunun kapsandigi “FATIH Projesi - Egitimde Teknoloji Kullanimi Kursu” baslikli hizmet-ici egitim faaliyetine katilmalarina ragmen bu ihtiyaclarinin giderilemedigi anlasilmaktadir. Bu baglamda bir egitim etkinligi oncesinde ihtiyac analizinin etkili bir sekilde yapilmasinin onemli oldugu vurgulanabilir.
Tuning the Behavior of IGMP and MLD for Mobile Hosts and Routers

To notify neighboring multicast routers of their IP multicast group memberships, hosts must support IGMP and MLD protocols. This document describes the ways of IGMPv3 and MLDv2 protocol optimization for mobility. The optimization includes a query timer tuning and an explicit membership notification operation.
Penerapan Association Rule Apriori Dalam Aplikasi Business Analytic Terhadap Data Kelulusan Di Universitas Sebelas Maret (UNS)

Pihak Rektorat maupun Dekanat (Eksekutif) sebagai pembuat keputusan strategis di Universitas Sebelas Maret (UNS) membutuhkan pengetahuan lebih dalam mengenai lulusannya. Pengetahuan tersebut dapat diperoleh dengan cara mengolah data seperti IPK (Indeks Prestasi Komulatif), Masa Studi, Jalur Masuk, Fakultas, dan lain – lain. Namun, sayangnya data tersebut belum dimanfaatkan tetapi hanya dikumpulkan menjadi tumpukan yang tidak berguna. Tumpukan data tersebut dapat digali dan diolah menjadi pengetahuan yang berguna menggunakan business analytic. Proses analisa ditunjang oleh teknik data mining. Dalam penelitian ini metode yang dipakai adalah association rule. Tujuannya adalah agar pihak eksekutif mengetahui pola keterkaitan antara atribut IPK, Masa Studi, Jenis Kelamin, Jalur Masuk, Fakultas, Gaji Orang Tua dan Asal. Hasil yang diperoleh dalam penelitian ini, berupa aplikasi yang menampilkan kualitas kelulusan dalam bentuk chart yang mudah dipahami. Sehingga, dengan menggunakan penerapan association rule apriori dalam aplikasi business analytic dapat menghasilkan pengetahuan yang bisa digunakan dalam pengambilan keputusan yang akhirnya bisa meningkatkan kualitas pendidikan.
A Research on Enhancing Public Key Cryptography by the Use of MRGA with RSA and N-Prime RSA

In current scenario everything is being transferred on the web and other communication medium. So that we need to make our data secure from all other attacker and unauthorized person. So that we have to give lot of protection to the transmitting data. For that we have lots of cryptography algorithm . But all of then do not provide level best protection in today‟s world as there are lots of ways to make that algorithm cracked and the cryptanalyst can retrieve the plain text so easily. So that with reference to the RSA and other famous algorithms as Diffie Hellman and N-prime RSA we have tried to give one more level of security by the use of Magic Rectangle. And by the use of Magic Rectangle we can have different cipher text for the same character. So by these many reasons this approach give enhancement to the public key cryptosystem. And Magic Rectangle have different approach that can unable to get the plain text without the knowledge of generation of Magic Rectangle.
IMPLEMENTASI METODE LEAST SQUARE UNTUK PREDIKSI PENJUALAN TAHU PONG

CV. XYZ setiap hari memproduksi tahu Pong yang akan disalurkan ke tiga tempat yaitu toko pusat oleh-oleh Jombang, Pasar Jombang dan di tempat produksi sendiri di Jogoroto. Penjualan di tiga tempat tersebut setiap harinya mengalami naik turun, akibatnya tidak jarang hasil produksi banyak yang tidak terjual sehingga mengakibatkan kerugian. Selain itu juga mengakibatkan pengadaan bahan baku produksi yang tidak sesuai dengan hasil penjualannya. Selama ini CV. XYZ dalam pengadaan bahan baku tidak dinamis setiap harinya atau tidak disesuaikan dengan perkiraan penjualan hari berikutnya karena belum menggunakan sistem prediksi. Oleh karena itu perlu adanya suatu sistem yang dapat memprediksi penjualan setiap harinya. Sistem prediksi yang dibuat menggunakan metode Least Square. Data yang digunakan yaitu data penjualan 1 April 2016 sampai dengan 31 Mei 2016. Periode yang diprediksi yaitu tiga periode hari selanjutnya. Dari hasil uji coba dapat disimpulkan sistem prediksi penjualan tahu pong dapat memprediksi penjualan pada periode selanjutnya. Metode Least Square dapat digunakan untuk memprediksi penjualan tahu pong dengan nilai korelasi 0,88. Kata Kunci: prediksi, penjualan, Least Square
Segment Routing Centralized BGP Egress Peer Engineering

Segment Routing (SR) leverages source routing. A node steers a packet through a controlled set of instructions, called segments, by prepending the packet with an SR header. A segment can represent any instruction topological or service-based. SR allows to enforce a flow through any topological path while maintaining per-flow state only at the ingress node of the SR domain. The Segment Routing architecture can be directly applied to the MPLS dataplane with no change on the forwarding plane. It requires a minor extension to the existing link- state routing protocols. This document illustrates the application of Segment Routing to solve the BGP Egress Peer Engineering (BGP-EPE) requirement. The SR-based BGP-EPE solution allows a centralized (Software Defined Network, SDN) controller to program any egress peer policy at ingress border routers or at hosts within the domain.
Applying the Improved Minimum Distance Classification to Identification the Operation Conditions of Pump Diagrams

The minimum distance classification has been broadly applied to the areas of character recognition and image recognition.The pump diagram is a binary image of closed curve,and it can be used to identify all kinds of operation conditions of an oil well.In this paper,the minimum distance classification has been improved,and all pump diagram have been dealt with morphology method to an optimized standard pump diagram,then it has been applied to identify the operating conditions of 61 pump diagrams which are collected on-site in the oil field.Test results show that the method is feasible and it has high correctness in condition of pump diagrams classification.
Kernel machine to doing logic programming in Hopfield network for solve non horn problem-3sat

Kernel machine is computationally efficient and has the capability to function on high dimensional analysis data with random complex structure. The aim of this research is to provide a new insight on the kernel machines integrated with Hopfield Network in doing logic programming (KHNN). The newly proposed method emphasized on non horn clauses logic. Kernel machine reduced the computational burden by intelligently define the embedded memory pattern in high dimensional feature space. Since KHNN is able to formulate the estimation of neuron states efficiently, computation in high dimensional feature space of the network can be reducing dramatically. The simulation of KHNN will be executed by using Dev C++ software. The robustness of KHNN in doing non horn clause 3 sat will be evaluated based on global minima ratio, root mean square error (RMSE), and sum of squared error (SSE), mean absolute error (MAE), mean percentage error (MAPE) and computation time. The result obtained from the computer simulation demonstrates the effectiveness of KHNN in doing non horn clause problem-3 sat.
Use of Mulberry Foliage (Morus alba) or Cayenne (Hibiscus rosa-sinensis) in Feeding Lactating Rabbit and its Effect on the Productivity

Commodities costs used in animal feed production have steadily increased, which raise the price of rabbit meat production. The objective of this trial was to evaluate the effects of partial substitution of commercial concentrate by fresh mulberry leaves or cayenne on milk production and growth of kits. In addition the economic feasibility of this practice was measured. Thirty five female rabbits were used in a randomized block design with a factorial arrangement of treatments 3x2 + 1 (n = 5), factors one consisted of feed concentrate (CC: 200, 160 and 120 g d–1) and the other factor consisted of two type of foliages (mulberry (M) or cayenne (C) ad libitum) and a CC control to free access. The weight of rabbit at parity was similar (P>0.05) in all rabbits while weaning was higher (P 0.05) in rabbits feed in either type of foliage, but difference was observed (P<0.05) in weight change of rabbis feed on different amount of CC with 58a, -65ab and -123b g during lactation, for 200, 160 and 120 g d–1 of CC, respectively. The individual weight of kits at weaning was affected by quantity of suckled kits and produced kg weaned per female rabbit. Individual weight was lower (P<0.05) in female rabbits fed only 120 g daily CC. In general, mulberry intake was higher (P<0.05) compared to that of cayenne (156 vs. 127 g d–1). In conclusion, it is possible to replace 40% of the use of CC in feeding lactating rabbits by mulberry leaves or fresh rose of chine without affecting the productivity of female rabbit during lactation. This good represent 40% saving in variable costs.
Frequency-based accounts of second language acquisition

Language acts as an intermediary between thought and sound in such a way that the combination of both necessarily produces a mutually complementary delimitation of units. Thought, chaotic by nature, is made precise by this process of segmentation. But what happens is neither a transformation of thought into matter, nor a transformation of sound into ideas. What takes place is a somewhat mysterious process by which “thought-sound” evolves divisions, and a language takes place with its linguistic units in between these two amorphous masses. (Saussure, 1916, pp. 110–111)
Entity Relation Extraction for Complex Chinese Text

Entity Relation Extraction is one of the important research fields in Information Extraction.Aiming at the problem of inefficiency of existing approaches dealing with entity relation extraction,this paper presented a novel approach.This new approach proposes seven heuristic rules to extract relation feature sequence through combining with grammar feature of Chinese text,and applies the semantic sequence kernel function with KNN learning algorithm to fulfill the entity relation extraction task.Experiments are carried out on two kinds of relation types defined in the ACE guidelines,results show that the new approach achieves an average F-score up to 76%,significantly higher than the traditional feature-based approaches and traditional shortest path for dependency kernel approaches.
Efficiency of Stream Processing Engines for Processing BIGDATA Streams

Background/Objectives: In this paper, there are real-time stream & big data stream applications running on a large amount of clusters & live migration of data using intensive & interactive tasks. Methods/Statistical Analysis: Traditionally, there are many stream processing engines which are going to manage the processing data in this streaming scenario, ongoing stream processing the data must be handle due to faults & stragglers within a second-scale latency. At present, there are efficient stream processing engines which can avoid these faults & stragglers by using the stream processing engines like APACHE SPARK & APACHE FLINK. Findings: In the real-time data stream processing there are some problem occurrences while processing the data, those are data latency, fault-tolerance, mutable data-sets and more stragglers. To avoid all these issues there is an efficient stream processing engines with additional added mechanisms like dolly retreat mechanism for avoiding stragglers and process data efficiently. Application/Improvements: Now a day’s demand for stream processing is increasing a lot which may be real-time streaming or normal cluster data transformation. Data has to be processed fast, so that companies are integrating these stream processing engines to changing their business conditions effectively in realtime for analyze their data more effectively with help of Fast Stream Processing Engines.
International workshop on evolutionary and reinforcement learning for autonomous robot systems (ERLARS)

The ERLARS workshop is concerned with research on efficient algorithms for evolutionary and reinforcement learning methods to make them more suitable for autonomous robot systems. The long term goal is to develop methods that enable robot systems to learn completely, dir­ ectly and continuously through interaction with the environment. In order to achieve this, methods are examined that can make the search for suitable robot control strategies more feasible for situations in which only few measurements about the environment can be obtained. The articles that you will find in these proceedings are steps along this way. We hope that they can serve as a useful set of ideas and methods to achieve the long term research goal. We would like to thank the program committee members who provided very good reviews in a short period of time. We are also especially indebted to the authors of the articles sent to this workshop for providing the material to make us think and discuss. It has been a great pleasure organising this event and we are happy to be supported by such a strong team of researchers. We sincerely hope that you enjoy the workshop and we look for­ ward, with your help, to continue building a strong community around this event in the future. Abstract— Visually-guided locomotion is important for autonomous robotics. However, there are several difficulties, for instance, the head shaking that results from the robot locomotion itself that constraints stable image acquisition and the possibility to rely on that information to act accordingly. In this article, we propose a controller architecture that is able to generate locomotion for a quadruped robot and to generate head motion able to minimize the head motion induced by locomotion itself. The movement controllers are biologically inspired in the concept of Central Pattern Generators (CPGs). CPGs are modelled based on nonlinear dynamical systems, coupled Hopf oscillators. This approach allows to explicitly specify parameters such as amplitude, offset and frequency of movement and to smoothly modulate the generated oscillations according to changes in these parameters. We take advantage of this particularity and propose a combined approach to generate head movement stabilization on a quadruped robot, using CPGs and a global optimization algorithm. The best set of parameters that generates the head movement are computed by the electromagnetism-like algorithm in order to reduce the head shaking caused by locomotion. Experimental results on a simulated AIBO robot …
EVALUASI TINGKAT KEMATANGAN TATA KELOLA TEKNOLOGI INFORMASI STAIN KEDIRI MENGGUNAKAN FRAMEWORK COBIT 5

Agar siap berkompetisi secara global, sebuah perguruan tinggi harus secara aktif memperbaiki diri termasuk dalam sisi teknologi informasi. Pentingnya pengelolaan TI saat ini tidak hanya terbatas pada organisasi profit atau perusahaan saja. Dengan pengelolaan TI yang baik, informasi dalam suatu lembaga dapat dioptimalkan sehingga tujuan lembaga dapat tercapai. Berdasarkan COBIT 5 Enabling Process terhadap Enterprise Goals dan fakta lapangan setelah dilakukan penelitian pendahuluan di STAIN Kediri ruang lingkup penyusunan model pengelolaan TI berfokus pada operational and staff productivity yang dalam BSC masuk pada bagian internal. Hal ini dipilih karena TI di STAIN Kediri masih dalam tahap berkembang (growth). Dari enterprise goals tersebut dapat dihasilkan ITrelated Goals yaitu ; 08. penggunaan aplikasi, informasi dan solusi teknologi yang memadai (Adequate use of applications, information and technology solutions) dan 16. Personel TI yang kompeten dan bermotivasi (competent and motivated business and IT personnel). Setelah dilakukan proses pengumpulan data diperoleh hasil perhitungan untuk setiap proses yang terdapat pada customer perspective menetapkan targetnya sebesar 2, dari target yang telah ditentukan, diharapkan pihak manajemen dapat memenuhi target tersebut. Berdasarkan analisis temuan audit menggunakan COBIT 5, untuk keenam proses IT related goals sebelumnya, staf operator IT dan sistem yang digunakan di STAIN Kediri sebagian besar masih dalam tahap reaktif. Yang berarti penerapan dan implementasi teknologi masih dalam bentuk dadakan, tanpa didahului perencanaan yang matang
Research and Analysis on Scheduler Mechanism Impact of QoS

Queuing Scheduler Mechanism has a close relation with Quality of Service(QoS). In order to satisfy individual requirements,QoS network must implement some queuing discipline.Based on introduction to five scheduling algorithms,Drop-tail,Round Robin,Packet Fair Queuing,Class Based Queuing and Random Early Detection,from modeling and simulation on NS-2,the effects of different scheduling algorithms on QoS and their cha-racteristics are researched.According to their characteristics,the results are given that different scheduling algorithms have their optimum conditions.