nils-herrmann/clean_scirepeval huggingface dataset:
Biomedical Text Classification with Improved Feature Weighting Method

In bioinformatics, we are interested in new techniques and advances in classification of biomedical documents for the hope of extracting useful biomedical knowledge out of the classification task. In this paper we introduce a feature weighting method for improving biomedical text classification. The method is effective in inducing weighted features from text data for classification. The weight of a feature is induced by the difference in class probability with versus without the feature. Specifically, in a simple inductive learning setting, the difference in class probability in the presence vs absence of feature fj can be a good metric for the contribution of fj in predicting the class. This technique is suitable for biomedical text mining in particular because it gives rise to terms with low perdocument frequency and such terms play a good role in predicting the class in biomedical texts. The technique gives weight for each term feature based on the distribution of the class in presence vs absence of the term without considering the term frequency in each document. The evaluation is conducted using six biomedical text datasets and compared to the tfidf technique and baseline with encouraging results. We further examined the predictiveness of low average frequency terms and their effectiveness in classification accuracy.
BoWT: A Hybrid Text Representation Model for Improving Text Categorization Based on AdaBoost.MH
Venue: MIWAI

Text representation is the fundamental task in text categorization system. The Bag of Words (BoW) is a typical model for representing the texts into vectors of single words. Even though it is a simple representation model, BoW has been criticized for its disregard of the relationships between the words. Alternatively, the Latent Dirichlet Allocation (LDA) topic model has been proposed to represent the texts into a Bag of Topics (BoT) In LDA, the words in the corpus are statistically grouped into a small number of themes called "latent topics" in which the topics capture the semantic relationships between the words. Thus, representing the documents using BoT will dramatically accelerate the training time; as well improve the classification performance. However, BoT has been proven to not be effective for imbalanced datasets. Accordingly, this paper presents a hybrid text representation model as a combination of BoW and BoT, namely BoWT. In BoWT, the high weighted BoW's features are merged with the BoT's features to produce a new feature space. The proposed representation model BoWT is evaluated for multi label text categorization based on the well known boosting algorithm AdaBoost.MH. The experimental results on four benchmarks demonstrated that the BoWT representation model notably outperforms both BoW and BoT and dramatically improves the classification performance of AdaBoost.MH for text categorization.
Self versus employees' Appraisal of managers' emotional intelligence: the case of Gweru and Kwekwe city councils, Midlands Province, Zimbabwe

Emotional Intelligence has become increasingly popular as a management tool for boosting performance at work. Despite this popularity, there is no sustained research in Zimbabwe that substantiates the efficacy of emotional intelligence especially within municipality environments. Using Goleman's four clusters of emotional intelligence self awareness, emotional intelligence self management, emotional intelligence awareness of others and emotional intelligence management of others managers rated themselves high as compared to employee ratings. The results indicate that managers may be clueless as to employee perceptions of their behaviour. It is important that managers constantly get feedback from those they lead so that they improve their attitude and behaviour. Using purposive and stratified sampling techniques, 32 managers and 400 subordinates participated in the study. The instrument that measured Goleman's emotional intelligence through self rating was reliable with Cronbach's Alpha reliability coefficients ranging from emotional self awareness 0.846, emotional self management 0.886, emotional awareness of others 0.939 and emotional intelligence management of others 0.960. The instrument used by employees to rate managers was also reliable with the Cronbach's Alpha reliability coefficients ranging from emotional intelligence self awareness 0.807, emotional intelligence self management 0.834, emotional intelligence awareness of others 0.858 and emotional intelligence management of others 0.945. The hypothesis that self rating and others' rating can not be same was validated.
Derivation of the respiratory rate from directly and indirectly measured respiratory signals using autocorrelation

The estimation of respiratory rates from contineous respiratory signals is commonly done using either fourier transformation or the zero crossing method. This paper introduces another method which is based on the autocorrelation function of the respiratory signal. The respiratory signals can be measured either directly using a flow sensor or chest strap or indirectly on the basis of the electrocardiogram (ECG) We compare our method against other established methods on the basis of real world ECG signals and use a respiration based breathing frequency as a reference. Our method achieved the best agreement between respiration rates derived from directly and indirectly measured respiratory signals.
A novel current mode and Voltage mode all pass filter employing operational transconductance amplifier
Venue: 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)

This paper proposes a novel first order all pass filter that utilizes operational transconductance amplifier as an active device. The introduced filter circuit comprises of only two active device and one grounded capacitor and four resistors. It also provides the voltage mode and current mode output simultaneously without doing any alteration in its hardware configuration. The transfer function of the filter circuit in both the modes remains same. In Current mode the output current is explicitly available from high impedance port, makes it better proposition for making the higher order filters without using any additional buffers. CMOS OTAs using 0.18 um technology process parameters have been utilized to test and verify the filter circuit.
Measuring consumer knowledge of life insurance products in South Africa

The financial services industry is characterized by product suppliers having more information than consumers regarding product features and services. The purpose of this article is to explore this information asymmetry with particular reference to the life insurance industry. Financial advisors, acting as intermediaries, are charged with the task of resolving this asymmetry through mandatory disclosures demanded by regulation. In South Africa, the Financial Services Board (FSB) monitors, regulates and supervises the financial services industry through the Financial Advisory and Intermediary Services Act of 2002 and The Code of Conduct for Financial Advisors. This paper distinguishes financial products from other products and highlights the need for disclosures regarding product features, by financial advisors. Using multistage sampling a national survey was conducted to establish whether consumers are knowledgeable of the features of basic insurance products. The findings were that consumers have a low to very low level of understanding of the features of basic insurance products. The study makes an important contribution to insurers' understanding of consumers' knowledge regarding the features of basic life insurance products. Furthermore, the findings would also contribute to insurers understanding the level to which intermediaries resolve the information asymmetry between product suppliers and consumers.
Morfometria geometrica y representaciones rupestres: explorando las aplicaciones de los metodos basados en landmarks

The aim of this work is to explore the application of geometric morphometric landmark based methods to study shape and size changes on rock art quantitatively. It is done as a methodological exercise, aiming to show the analitic potential of these methods. They have been applied on a sample of 116 paintings and engravings from sites assigned to late Holocene located in Quebrada de Humahuaca and Puna (Jujuy province) The figures are camelids from Playa Colanzuli, Media Agua, Sapagua and Barrancas sites. A brief introduction to geometric morphometrics is presented, including its origins, aims, different methods and advantages in relation with traditional morphometrics. Then, landmark based method technical procedures and work images protocol are described. Finally, three types of statistical multivariate analyses are presented. These analyses are applied here to describe: 1) the main morphological variations (principal component analysis) 2) the shape differences between groups (canonical variate analysis and parametric and non parametric hyphothesis tests) and 3) the relationship between size and shape (multiple regression)
Hierarchical organization of functional connectivity in the mouse brain: a complex network approach
Venue: Scientific reports

This paper represents a contribution to the study of the brain functional connectivity from the perspective of complex networks theory. More specifically, we apply graph theoretical analyses to provide evidence of the modular structure of the mouse brain and to shed light on its hierarchical organization. We propose a novel percolation analysis and we apply our approach to the analysis of a resting state functional MRI data set from 41 mice. This approach reveals a robust hierarchical structure of modules persistent across different subjects. Importantly, we test this approach against a statistical benchmark (or null model) which constrains only the distributions of empirical correlations. Our results unambiguously show that the hierarchical character of the mouse brain modular structure is not trivially encoded into this lower order constraint. Finally, we investigate the modular structure of the mouse brain by computing the Minimal Spanning Forest, a technique that identifies subnetworks characterized by the strongest internal correlations. This approach represents a faster alternative to other community detection methods and provides a means to rank modules on the basis of the strength of their internal edges.
PENDIDIKAN KARAKTER DALAM EKSTRAKURIKULER PRAMUKA DI SMP NEGERI 1 YOGYAKARTA

Penelitian ini bertujuan untuk mendeskripsikan proses dan implementasi pendidikan karakter dalam ekstrakurikuler Pramuka di SMP Negeri 1 Yogyakarta, mengkaji secara mendalam mengenai faktor pendukung dan penghambat, serta strategi yang digunakan dalam mengatasi hambatan yang muncul dalam implementasi kebijakan tersebut. Penelitian ini menggunakan pendekatan kualitatif dengan metode deskriptif. Subjek dalam penelitian ini adalah kepala sekolah, guru, pembina Pramuka, dan siswa sebagai dewan penggalang. Metode pengumpulan data yang digunakan berupa observasi, wawancara, dan dokumentasi. Analisis data menggunakan teknik deskriptif kualitatif melalui reduksi data, penyajian data, dan penarikan kesimpulan. Uji keabsahan data menggunakan triangulasi teknik dan sumber. Hasil penelitian ini menunjukkan bahwa: 1) Proses dan implementasi pendidikan karakter dalam ekstrakurikuler Pramuka di SMP Negeri 1 Yogyakarta menggunakan beberapa metode yaitu; a) metode belajar interaktif progresif, b) sistem among, c) kiasan dasar. 2) Faktor pendukung yaitu UU No. 12 Tahun 2010 tentang Gerakan Pramuka serta hasil dari Keputusan Musyawarah Nasional Gerakan Pramuka nomor: 11/Munas/2013 tentang AD/ART Gerakan Pramuka, fasilitas dan prasarana yang lengkap, antusiasme peserta didik, pembina Pramuka yang profesional, kurikulum sekolah yang mewajibkan ekstrakurikuler Pramuka, serta pengelolaan kegiatan ekstrakurikuler Pramuka yang sudah baik. Faktor penghambat yaitu terbatasnya anggaran dana sekolah, masih ada beberapa siswa yang menganggap Pramuka hanya sebatas melaksanakan kegiatan sekolah saja, ditambah lagi dengan minimnya pengetahuan orang tua tentang kegiatan ekstrakurikuler Pramuka. 3) Strategi sekolah dengan cara mendapatkan dana dari pentas seni, persewaan gedung olahraga (GOR) Dana BOS dan bantuan dari Dinas Pendidikan. Serta diadakannya pertemuan rutin maupun insidental dengan orang tua atau wali murid.  Pendidikan Karakter, Ekstrakurikuler Pramuka
ROS Mediated NLRP3 Inflammasome Activation in Brain, Heart, Kidney, and Testis Ischemia/Reperfusion Injury
Venue: Oxidative medicine and cellular longevity

Ischemia and reperfusion (I/R) causes a reduction in arterial blood supply to tissues, followed by the restoration of perfusion and consequent reoxygenation. The reestablishment of blood flow triggers further damage to the ischemic tissue through reactive oxygen species (ROS) accumulation, interference with cellular ion homeostasis, and inflammatory responses to cell death. In normal conditions, ROS mediate important beneficial responses. When their production is prolonged or elevated, harmful events are observed with peculiar cellular changes. In particular, during I/R, ROS stimulate tissue inflammation and induce NLRP3 inflammasome activation. The mechanisms underlying the activation of NLRP3 are several and not completely elucidated. It was recently shown that NLRP3 might sense directly the presence of ROS produced by normal or malfunctioning mitochondria or indirectly by other activators of NLRP3. Aim of the present review is to describe the current knowledge on the role of NLRP3 in some organs (brain, heart, kidney, and testis) after I/R injury, with particular regard to the role played by ROS in its activation. Furthermore, as no specific therapy for the prevention or treatment of the high mortality and morbidity associated with I/R is available, the state of the art of the development of novel therapeutic approaches is illustrated.
Wireless Charging Technologies: Fundamentals, Standards, and Network Applications
Venue: IEEE Communications Surveys Tutorials

Wireless charging is a technology of transmitting power through an air gap to electrical devices for the purpose of energy replenishment. The recent progress in wireless charging techniques and development of commercial products have provided a promising alternative way to address the energy bottleneck of conventionally portable battery powered devices. However, the incorporation of wireless charging into the existing wireless communication systems also brings along a series of challenging issues with regard to implementation, scheduling, and power management. In this paper, we present a comprehensive overview of wireless charging techniques, the developments in technical standards, and their recent advances in network applications. In particular, with regard to network applications, we review the static charger scheduling strategies, mobile charger dispatch strategies and wireless charger deployment strategies. Additionally, we discuss open issues and challenges in implementing wireless charging technologies. Finally, we envision some practical future network applications of wireless charging.
Asian International Graduate Students' Academic and Social Experiences in American Higher Education

The authors identify and discuss current issues and concerns of Asian international graduate students about their academic and social experiences in American higher education. International graduate students from countries outside of the U.S. are an important constituency for research institutions in America due to the added cultural richness they bring to the academy. However, many Asian international graduate students in U.S. encounter difficulty when attempting to acculturate and may have difficulty adjusting to their environment. This chapter includes discourse on academic and social challenges, time management difficulties, dueling agendas, and socioeconomic struggles. Important also, this chapter offers recommendations for Asian international students on American college and university campuses. Lastly to better support Asian international doctoral students, this chapter encourages academic departments, administrators, faculty, and all graduate students to learn to view themselves as playing various roles as academic advisors, teachers, and graduate students.
Simplex type algorithm for second order cone programmes via semi infinite programming reformulation
Venue: Optim. Methods Softw.

To solve the (linear) second order cone programmes (SOCPs) the primal dual interior point method has been studied extensively so far and said to be the most efficient method by many researchers. On the other hand, the simplex type method for SOCP is much less spotlighted, while it still keeps an important position for linear programmes. In this paper, we apply the dual simplex primal exchange (DSPE) method, which was originally developed for solving linear semi infinite programmes, to the SOCP by reformulating the second order cone constraint as an infinite number of linear inequality constraints. Then, we show that the sequence generated by the DSPE method converges to the SOCP optimum under certain assumptions. In the numerical experiments, we consider the situation to solve multiple SOCPs with similar structures successively. Then we observe that our simplex type method can be more efficient than the existing interior point method when we apply the so called 'hot start' technique.
Analyzing the Concept of Moral Intelligence in the view of Curriculum Reconceptualists

Morals and its education, suggest the precise frameworks of how to be and how sublime and sacred life is. Evaluating the relationship between morals and rationality for education officers, moral education in particular, is very important. A vast majority of experts believe that morals and moral skills can be strengthened and promoted through education. This article is aimed at achieving a new sense of Moral Intelligence structures from a comparative viewpoint of the perspective of moral intelligence theorists and curriculum reconceptualists. The current research considered qualitative research in terms of method and is a case of content analysis. The areas studied in this research include textbooks such as opinions on the latest insights of moral intelligence Michele Borba and Thomas Lickona, as well as the opinions of the ethical issues considered by some curriculum reconceptualists such as Dwayne Huebner, Maxine Greene and Nel Noddings. The authors of the present study tried to explore the meaning and virtues of moral intelligence such as basic human traits, being assessed, assessing worthwhile, virtuous character, truth and honesty, self development, responsibility, devotion, intimacy, inner guard, continence, respect, kindness, justice, wisdom and humility. In addition, they achieved certain common points among the studied theorists, including moral competence development through training, task of school and curriculum on ethical issues, moral teaching art and the role of religion in the development of moral virtues.
Visual programming languages integrated across the curriculum in elementary school: A two year case study using "Scratch" in five schools
Venue: Comput. Educ.

Several authors and studies highlight the benefits of the integration of Computer Science into K 12 education. Applications such as Scratch have been demonstrated to be effective in educational environments. The aim of this study is to assess the use of a Visual Programming Language using Scratch in classroom practice, analyzing the outcomes and attitudes of 107 primary school students from 5th to 6th grade in five different schools in Spain. The intervention takes place in two academic years analyzing the practice of integrating coding and visual blocks programming in sciences and arts. The "Computational concepts and computational practices" dimension details a quasi experimental approach, which showed significant improvement regarding learning programming concepts, logic, and computational practices with an active approach. The "Learning processes and coding in primary education" dimension analyzes the practice of the experimental group through questionnaires and structured observation. In this pedagogical design, students interact and create their own content related to curricular areas with several advantages, such as motivation, fun, commitment, and enthusiasm, showing improvements related to computational thinking and computational practices. Understanding of computational concepts through an active approach, Project Based Learning, usefulness, motivation, and commitment underline the importance and effectiveness of implementing a Visual Programming Language from active methodologies in primary education. Due to the aforementioned benefits and positive results obtained in this research, it is recommended to implement a Visual Programming Language in educational settings in 5th and 6th grade in primary education through a cross curricular implementation. Display Omitted We analyze the use of "Scratch" through statistical inference and case study.Pretest/posttest design (99% Active approach and Computational Concepts.Active Learning, contents in art and History, usefulness and fun.Possibility of learning sequences, loops, parallelism and events.Project Based Learning enables an active approach, obtaining high values.
Takagi Sugeno Kang Transfer Learning Fuzzy Logic System for the Adaptive Recognition of Epileptic Electroencephalogram Signals
Venue: IEEE Transactions on Fuzzy Systems

The intelligent recognition of electroencephalogram (EEG) signals has become an important approach to the detection of epilepsy. Among existing intelligent identification methods, fuzzy logic systems (FLSs) have shown a distinctive advantage in identifying epileptic EEG signals because of their strong learning abilities and interpretability. Like many conventional intelligent methods for recognizing EEG signals, in the training of FLS, it is assumed that the training dataset and test dataset are drawn from data that are identically distributed. However, this assumption is not necessarily valid in practice as it is not uncommon for the two datasets to have different distributions. To overcome this problem, a strategy is presented in this paper to construct a Takagi Sugeno Kang (TSK) FLS based on transductive transfer learning for identifying epileptic EEG signals. Two novel objective functions, achieved by integrating the transductive transfer learning mechanism, are proposed for the training of the TSK FLS. As regression and binary classification are two common approaches to multiclass classification, the TSK transfer learning FLS algorithms for regression and binary classification are developed, respectively, to construct the corresponding TSK FLS. Both algorithms are further used to perform a multiclass classification to recognize epileptic EEG signals. Their performance in the epileptic EEG datasets indicates promise in dealing with situations where the training and test datasets differ with regard to data distribution.