Miracle-dz/UniFAR-FTUs huggingface dataset:
Lightweight Convolutional Neural Network for Real-Time Arrhythmia Classification on Low-Power Wearable Electrocardiograph

In this study, a lightweight CNN-based electrocardiogram (ECG) classification model is implemented to operate it on a wearable device for real-time arrhythmia detection by efficiently reducing the number of parameters of the model. Ten second-windowed ECGs from three different public ECG databases were used to learn and classify them into four classes: normal sinus rhythm, atrial fibrillation, atrial premature contraction, and ventricular premature contraction. The model implemented in the workstation environment was converted using the TensorFlow Lite framework and then imported into an ARM Cortex-M4 architecture-based nRF52840 microprocessor. The proposed model shows high performance (97.7% accuracy and 97.4% F1 score) with reasonable execution time: 298ms and current consumption: 3.55mA at optimized for speed and execution time: 480ms and current consumption: 3.82mA at optimized for size, respectively.
Global regulation of a class of uncertain nonlinear systems using output feedback

In this paper we address the problem of global regulation by output feedback for a class of uncertain nonlinear systems dominated by a linearly growing triangular system. The growth rate of the nonlinearities is not known a priori, and therefore the problem is unsolvable by any existing results on this subject. By extending the output feedback domination design introduced in [15] to the time-varying case, we explicitly construct a linear time-varying output feedback control law which globally regulates the states of the systems without knowing the growth rate.
Text Classification Based on SVM and Text Summarization

This paper presents the results of our research on text classification which the proposed model is a combination of text summarization technique and semi-supervised learning machine based on the Support Vector Machine (SVM). We propose a solution which is combined two algorithms: searching maximal frequent wordsets and clustering algorithms, extracting the main idea of the text before classifying. The novelty of the proposed method is to summarise the text before constructing of the feature vector in order to minimize the dimension of the vector. In addition, we employ semi-supervised machine learning methods to minimize the number of labelled text used for training (generating the feature model). The experimental results show that the solution achieved a high accuracy; it is more stable and faster than that of the supervised learning or semi-supervised learning based on the support vector.
Adaptive Periodic Control Systems in Robotics: a Case Study

The main goal of our current research is the design of a robotic architecture that has the capability of adapting its behavior both to the rate of change of the environment and to changes of its internal states. Inspired by some research on biological clocks, we show a simple model to represent those clocks in terms of Schema Theory, connecting the concept of releasing mechanisms to the concept of variable internal clocks. We evaluated different monitoring strategies, in terms of performances, using real robots with a navigation behavior inspired by a catagliphys ant and enhanced with simple visual capabilities.
Thermal dose versus isotherm as lesion boundary estimator for cardiac and hepatic radio-frequency ablation

Radio-frequency (RF) ablation is a therapy that destroys pathologic tissue by heat. Cardiac ablation is a widely used treatment method for a number of cardiac arrhythmias. Hepatic ablation is becoming an increasingly popular for treatment of liver tumors. Mathematical ablation models have been developed to predict dimensions of inflicted tissue damage (i.e. RF lesion). In most models the 50 /spl deg/C isotherm has been used to determine boundary between viable and dead tissue. It is well known that accurate damage prediction has to take the temperature history (i.e. thermal dose) into account. We implemented the widely used Arrhenius damage model into our finite element method computer models of cardiac and hepatic RF ablation. We simulated cardiac ablation for 45 s, and hepatic ablation for 12 min. We compared the lesion boundary determined by the damage model to the 50 /spl deg/C isotherm. For the cardiac model, the isotherm overestimated the lesion diameter by 4.8%. For hepatic ablation model, the isotherm underestimated the lesion diameter by 4 %. For short treatment times below 30 s in cardiac ablation, and for long treatment times in hepatic ablation above 20 min, the thermal dose should be used to determine lesion dimensions since the isotherm results in large errors in these cases.
Multilevel Modelling with Spatial Effects

In multilevel modelling, interest in modeling the nested structure of hierarchical data has been accompanied by increasing attention to different forms of spatial interactions across different levels of the hierarchy. Neglecting such interactions is likely to create problems of inference, which typically assumes independence. In this paper we review approaches to multilevel modelling with spatial effects, and attempt to connect the two literatures, discussing the advantages and limitations of various approaches.
Business Communication Today

Part 1: Understanding the Foundations of Business Communication Chapter 1: Achieving Success through Effective Business Communication Chapter 2: Mastering Interpersonal Communication Chapter 3: Communicating in a World of Diversity Part 2: Applying the Three-Step Writing Process Chapter 4: Planning Business Messages Chapter 5: Writing Business Messages Chapter 6: Completing Business Messages Part 3: Crafting Brief Messages Chapter 7: Crafting Messages for Electronic Media Chapter 8: Writing Routine and Positive Messages Chapter 9: Writing Negative Messages Chapter 10: Writing Persuasive Messages Part 4: Supporting Messages with Quality Information Chapter 11: Finding, Evaluating, and Processing Information Chapter 12: Designing Visual Communication Part 5: Planning, Writing, and Completing Reports and Proposals Chapter 13: Planning Reports and Proposals Chapter 14: Writing Reports and Proposals Chapter 15: Completing Reports and Proposals Part 6: Designing and Delivering Oral and Online Presentations Chapter 16: Developing Oral and Online Presentations Chapter 17: Enhancing Presentations with Slides and Other Visuals Part 7: Writing Employment Messages and Interviewing for Jobs Chapter 18: Building Careers and Writing Resumes Chapter 19: Applying and Interviewing for Employment Appendix A: Format and Layout of Business Documents Appendix B: Documentation of Report Sources Appendix C: Correction Symbols
User participation and user involvement in information system development

Defining user participation as the activities performed by users during system development and user involvement as the importance and personal relevance of a system to its user, the authors examine the empirical relationship of participation and involvement with system usage. Based on a field survey of 74 users of management support systems and 31 users of transaction systems the following conclusions are drawn: user participation and user involvement represent two distinct constructs; the role of user participation in achieving system success may be less than has been generally believed; user involvement, as defined and measured, is a key variable for system success; and as a distinct construct, user involvement is related to more variables than user participation alone. <<ETX>>
ÖĞRETMENLERİN YAŞAM BOYU ÖĞRENME EĞİLİMLERİ VE EĞİTİM TEKNOLOJİSİ STANDARTLARI ÖZYETERLİKLERİNİN İNCELENMESİ

Bu arastirmanin amaci, sinif ogretmenligi alaninda uzaktan egitim tezsiz yuksek lisans yapan ogretmenlerin yasam boyu ogrenme egilimlerini ve egitim teknolojisi standartlari arasindaki iliskiyi cesitli degiskenler acisindan incelemektir. Arastirma deseni, iliskisel tarama yontemidir. Arastirmaya Amasya Universitesi Sosyal Bilimler Enstitusu Sinif Ogretmenligi Uzaktan Egitim Tezsiz Yuksek Lisans Programina kayitli, 134 (60 kadin, 74 erkek) sinif ogretmeni katilmistir. Ayrica 5 erkek ve 5 kadin ogretmenle de gorusme yapilmistir. Calismada, veri toplama araci olarak Coskun (2009) tarafindan gelistirilen ve gecerlik-guvenirlik calismasi yapilan “Yasam Boyu Ogrenme Egilimleri Olcegi” kullanilmistir. Calismada kullanilan diger veri toplama araci ise, Coklar (2008) tarafindan NETS-T standartlari kullanilarak gelistirilen “Egitim Teknolojisi Standartlari Ile Ilgili Yeterlilikler Olcegi” dir. Arastirma sonuclarina gore uzaktan egitim tezsiz yuksek lisans programina kayitli sinif ogretmenlerinin, yasam boyu ogrenme egilimleri ve egitim teknolojisi standartlari ile ilgili ozyeterlikleri pozitif yonde yuksek duzeyde cikmistir. Ayni zamanda yasam boyu ogrenme egilimleri ile egitim teknolojileri standartlari ozyeterlikleri arasinda orta duzeyde, pozitif ve anlamli bir iliski tespit edilmistir. Egitim teknolojisi standartlari ozyeterliklerinde cinsiyete gore anlamli bir farklilik bulunmazken, yasam boyu ogrenme egilimlerinde anlamli bir farklilik gozlenmistir. Yapilan gorusmelerde bu sonuclari destekler niteliktedir.
Hierarchical Slow Feature Analysis on visual stimuli and top-down reconstruction

This thesis examines a model of the visual system, which is based on the principle of unsupervised slowness learning and using Slow Feature Analysis (SFA). We apply this model to the task of invariant object recognition and several related problems. The model not only learns to extract the underlying discrete variables of the stimuli (e.g., identity of the shown object) but also to extract continuous variables (e.g., position and rotational angles). It is shown to be capable of dealing with complex transformations like in-depth rotation. The performance of the model is first measured with the help of supervised post-processing methods. We then show that biologically motivated methods like reinforcement learning are also capable of processing the high-level output from the model. This enables reinforcement learning to deal with high-dimensional visual stimuli. In the second part of this thesis we try to extend the model with top-down processes, centered around the task of reconstructing visual stimuli. We utilize the method of vector quantization and combine it with gradient descent. The key components of our simulation software have been intregrated into an open-source software library, the Modular toolkit for Data Processing (MDP). These components are presented in the last part of the thesis.
Introduction to Economics

This 18-chapter text is the first book explicitly designed for the one-term, principles-level course covering both micro and macroeconomics, and can also be used for two-term or full-year courses where a very concise, focused treatment is desired. This authoritative text carefully selects and fully explains all of the core topics essential to the principles course with a rigorous and analytical treatment, rather than presenting just a cursory "survey" of all introductory economic concepts. It presents economics as a unified subject in which the macroeconomics chapters build on, and flow from, the key microeconomic principles established in the first half of the book.
Der Erwerb der linken Satzperipherie bei Französisch/Deutsch bilingual aufwachsenden Kindern

In der vorliegenden Dissertation wird der Erwerb der linken Satzperipherie im Deutsch/Franzosisch bilingualen Erstspracherwerb untersucht. Schwerpunkt der Arbeit ist die Uberprufung der Hypothese von Platzack (2001), nach der die linke Satzperipherie eine anfallige Domane im bilingualen Spracherwerb sein sollte. Daruber hianaus wird der Spracherwerb auch unabhangig von der Fragestellung des Spracheinflusses analysiert. Im theoretischen Teil wird eine umfassende Kritik an Rizzis "Split CP" (1997) Ansatz geubt und erklart, warum seine Analyse nicht fur die Datenauswertung zugrunde gelegt wird. In this study I investigate the French/German bilingual language acquisition of the left periphery. The main goal is to verify Platzacks (2001) hypothesis of the vulnerable left periphery according to which language transfer might be detected in the left periphery.
Anàlisi bioinformàtica de seqüències reguladores de l'expressió gènica en eucariotes.

El treball realitzat durant el meu doctorat ha estat dirigit a entendre millor l'organitzacio i l'evolucio de les regions de DNA que regulen la transcripcio. En concret els objectius d'aquesta tesi son: (1) millorar els metodes in silico de caracteritzacio, representacio i prediccio de llocs d'unio de factors de transcripcio; (2) estudiar les restriccions que actuen sobre la conservacio evolutiva de les sequencies reguladores de la transcripcio; (3) estudiar l'efecte de la duplicacio genica sobre l'evolucio de les sequencies reguladores de la transcripcio i sobre l'expressio genica.El primer capitol, presenta el desenvolupament del programa PROMO, per predir llocs d'unio de factors de transcripcio (TFBSs) en una sequencia de DNA o en un conjunt de sequencies. Per una especie determinada o un determinat nivell taxonomic, PROMO construeix matrius de pes a partir de sequencies de TFBSs coneguts que son utilitzades per fer la prediccio. La prediccio simultania sobre multiples sequencies permet descobrir elements de regulacio comuns i es pot aplicar, per exemple, per a comparar regions reguladores de gens ortolegs o de gens que s'expressen en el mateix teixit. En el segon capitol es presenta l'estudi en que varem demostrar la hipotesi de que el nombre de teixits en que un gen s'expressa esta relacionat de manera significativa amb el grau de conservacio de la sequencia del promotor. Mostrem que els gens housekeeping de mamifers, els que s'expressen en tots o gairebe tots els teixits, tenen una menor conservacio de la sequencia del promotor que els gens que s'expressen en un subconjunt de teixits. El tercer i darrer capitol presenta un estudi sobre l'efecte de la duplicacio genica sobre l'evolucio de les sequencies reguladores de la transcripcio. S'han fet molts estudis sobre l'efecte de la duplicacio genica sobre la divergencia de les sequencies proteiques, pero poc es coneix de com aquest proces afecta l'evolucio de les sequencies reguladores de l'expressio genica. En aquest treball hem trobat que el nombre de duplicacions geniques mostra una relacio positiva amb la divergencia del promotor, la taxa de substitucions no-sinonimes de la sequencia codificant i la divergencia de l'expressio tissular. Per tant, la duplicacio genica no nomes condueix a un increment de les mutacions aminoacidiques, sino a una acceleracio de la divergencia de sequencies involucrades en la regulacio de l'expressio genica.
Toward summarization of communicative activities in spoken conversation

This thesis is an inquiry into the nature and structure of face-to-face conversation, with a special focus on group meetings in the workplace. I argue that conversations are composed of episodes, each of which corresponds to an identifiable communicative activity such as giving instructions or telling a story. These activities are important because they are part of participants’ commonsense understanding of what happens in a conversation. They appear in natural summaries of conversations such as meeting minutes, and participants talk about them within the conversation itself. Episodic communicative activities therefore represent an essential component of practical, commonsense descriptions of conversations. The thesis objective is to provide a deeper understanding of how such activities may be recognized and differentiated from one another, and to develop a computational method for doing so automatically. The experiments are thus intended as initial steps toward future applications that will require analysis of such activities, such as an automatic minute-taker for workplace meetings, a browser for broadcast news archives, or an automatic decision mapper for planning interactions. My main theoretical contribution is to propose a novel analytical framework called participant relational analysis. The proposal argues that communicative activities are principally indicated through participant-relational features, i.e., expressions of relationships between participants and the dialogue. Participant-relational features, such as subjective language, verbal reference to the participants, and the distribution of speech activity amongst the participants, are therefore argued to be a principal means for analyzing the nature and structure of communicative activities. I then apply the proposed framework to two computational problems: automatic discourse segmentation and automatic discourse segment labeling. The first set of experiments test whether participant-relational features can serve as a basis for automatically segmenting conversations into discourse segments, e.g., activity episodes. Results show that they are effective across different levels of segmentation and different corpora, and
PENINGKATAN KEAKTIFAN DAN HASIL BELAJAR MATEMATIKA MELALUI MODEL PROBLEM BASED LEARNING SISWA KELAS V SD NEGERI 5 KUTOSARI

Abstract: The Improvement Activity and Learning Result Mathematics through Problem Based Learning Model V Grade S tudents of State Elementary School 5 Kutosari. The purpose of this research are: (1) describing the application of Problem Based Learning models, (2) improving of activity, and (3) improv ing of learning result mathematics . This research is a Collaborative Classroom Action Research. Subject of this research is a students in V grade total 16 students . Procedure research are , action , observation, and reflection. There are in t wo cycle, each cycle three meeting. The data collection technique is testing the results of observation, interviews, questionnaires and tests. The validity of data using triangulation source and triangulation techniques. Data analysis using quantitative analysis techniques and qualitative analysis, including data reduction, presentation of data, and verification. The results show that the application of Problem Based Lea r ning models can be improve the activity and learning result in mathematics e lementary s chool fifth grade students . Keyword: Problem Based Learning , activity, learning result , Mathematics Abstrak: Peningkatan Keaktifan dan Hasil Belajar Matematika melalui Model Problem Based Learning Siswa Kelas V SD Negeri 5 Kutosari. Tujuan penelitian ini adalah (1) mendeskripsikan langkah-langkah penerapan model P roblem B ased L earning , (2) meningkatkan keaktifan , dan (3) meningkatkan hasil belajar matematika. Penelitian ini menggunakan teknik Penelitian Tindakan Kelas kolaboratif. Subjek penelitian ini adalah siswa kelas V berjumlah 16 siswa. Prosedur penelitian tindakan kelas berupa perencanaan, pelaksanaan, observasi dan refleksi. Pelaksanaan tindakan dilaksanakan dalam dua siklus masing-masing siklus tiga pertemuan. Teknik pengumpulan data yang digunakan adalah observasi, wawancara, angket, dan tes. Validitas data menggunakan teknik triangulasi sumber dan triangulasi teknik. Analisis data menggunakan teknik analisis kuantitatif dan kualitatif, meliputi reduksi data, sajian data, dan verifikasi data. Hasilnya menunjukkan bahwa penerapan model Problem Based Leaning dapat meningkatkan keaktifan dan hasil belajar matematika pada siswa kelas V Sekolah Dasar. Kata Kunci: Problem Based Learning , keaktifan, hasil belajar, Matematika
System Dynamics and Simulation/Gaming

Purpose. This article summarizes the nine contributions to the symposium on system dynamics. The goal of the symposium is to investigate how research in system dynamics is contributing to simulation-gaming, and how the more general field of simulation-gaming is influencing work in system dynamics. Summary of articles. We summarize the nine contributions. They include five articles on basic research in learning and teaching principles for system dynamics, three articles on interactive learning environments, and a final critical reflection article which summarizes the other eight and suggests future research needs. Conclusion. The main problem still to be addressed is improvement in and measurement of learning and performance.
TOTAL BAKTERI DAN pH SUSU AKIBAT LAMA WAKTU DIPING PUTING KAMBING PERANAKAN ETTAWA LAKTASI

Penelitian ini bertujuan untuk mengetahui pengaruh lama waktu diping puting terhadap total bakteri dan pH susu pada kambing PE laktasi. Penelitian ini dilaksanakan di UPT Pembibitan Ternak dan Hijauan Makanan Ternak Malang pada tanggal 23 Juli sampai dengan 23 Agustus 2011. Materi yang digunakan dalam penelitian ini adalah 12 ekor kambing perah laktasi dengan kriteria kondisi sehat dan sedang dalam masa laktasi, kaporit (Calcium Hyphochloride) dan aquades. Peralatan yang digunakan timbangan digital, ember, gelas ukur, gelas pencelup untuk diping, stop watch, botol sampel, pH meter dengan skala 0-14 dengan kepekaan 0,1 dan termos serta plate count agar. Perlakuan yang diterapkan adalah T1 (Lama waktu diping 5 detik), T2 (Lama waktu diping 10 detik) dan T3 (Lama waktu diping 15 detik). Parameter yang diamati dalam penelitian ini adalah total bakteri dan pH susu. Rancangan yang digunakan adalah Rancangan Acak Lengkap (RAL) dengan 3 perlakuan dan 4 ulangan. Data yang diperoleh kemudian dianalisis menggunakan Anova. Hasil penelitian menunjukkan bahwa lama waktu diping puting tidak menunjukkan perbedaan terhadap total bakteri dan pH susu. Berdasarkan hasil penelitian dapat disimpulkan bahwa lama waktu diping puting kambing perah laktasi selama 5 detik saja sudah mampu mengendalikan total bakteri dan mempertahankan pH susu. Kata Kunci : diping puting , total bakteri susu, pH susu
Measuring coordination and variability in coordination

This chapter reviews tools for measuring movement coordination and its variability and draws attention to the capacity of enhanced technology in motion analysis for providing detailed measurements of the coordination among limb segments and joints of the body. The review is highly relevant for theorists of motor control interested in measuring movement coordination and its variability during complex actions with multiple degrees of freedom such as locomotion. Key differences in methodological assumptions in the literature on biomechanics and motor control are identified, such as in assumptions regarding the definition of phase angle used when describing coordination between two segments. Decisions in measurement protocol, such as whether conventional linear statistics or circular statistical techniques should be used, can greatly influence the level of variability found in coordination. Although the literature is currently focusing a lot of attention on continuous relative phase and vector coding techniques, no single idea technique exists for measuring coordination and its variability over time. Consequently, researchers need to be aware of the strengths and limitations of existing methods and should state the rationale for using particular methodologies in their research studies to help readers interpret what amount of variability in the data is likely due to measurement errors and discrepancies. Measuring coordination and its variability is an issue that continues to challenge researchers in the movement sciences.