nils-herrmann/clean_scirepeval huggingface dataset:
A rank sum test for clustered data when the number of subjects in a group within a cluster is informative.
Venue: Biometrics
Year: 2016

The Wilcoxon rank sum test is a popular nonparametric test for comparing two independent populations (groups) In recent years, there have been renewed attempts in extending the Wilcoxon rank sum test for clustered data, one of which (Datta and Satten, 2005,  addresses the issue of informative cluster size, i.e. when the outcomes and the cluster size are correlated. We are faced with a situation where the group specific marginal distribution in a cluster depends on the number of observations in that group (i.e. the intra cluster group size) We develop a novel extension of the rank sum test for handling this situation. We compare the performance of our test with the Datta Satten test, as well as the naive Wilcoxon rank sum test. Using a naturally occurring simulation model of informative intra cluster group size, we show that only our test maintains the correct size. We also compare our test with a classical signed rank test based on averages of the outcome values in each group paired by the cluster membership. While this test maintains the size, it has lower power than our test. Extensions to multiple group comparisons and the case of clusters not having samples from all groups are also discussed. We apply our test to determine whether there are differences in the attachment loss between the upper and lower teeth and between mesial and buccal sites of periodontal patients.
Students` strategies to overcome the fear of speaking in class
Year: 2016

Public speaking is a part of everyday situations. With our self presentation we build our credibility and we socilize with people around us. Everybody can be a good speaker. It is not about being born carismatic, it is a process which demands a lot of practice, good preparation and opportunities that bring experience. The fear is one of the strongest emotions, which influences our body functions and our emotional capabilities. The children fears are conseqences of too much or too little concern of their parents, stressful events in the family, etc. Social anxiety is accompanied by anxiety and concern, because of anticipated negative reactions of the social environment. It is stimulated by social situations in which a single person is exposed to other people valuation. School surrounding can become the space where anxious peronalities are exposed to low self esteem. Additionally public speaking can even make this fear stronger. The teachers have a key role in fighting the fear of public speaking of ther students. The goal of my diploma work was to find out how often students speak publicly. The research has proved that, according to teacher and students opinion, the least used forms of public speaking are pantomime and role plays. We were also interested in finding, if professors recognize the students who have public speaking fears when talking in front of the class and what kind of support do they offer to them. We found out that teachers mostly recognize the students who have the problem of speaking, hand shaking and too fast talking. The biggest number of the interwied teachers report that they help students who have that fear of speaking, by devoting more time for them, encourage them and talk to them about the issue. We also wanted to find out how these students express the fear of speaking in front of the class. The research has shown, that the most common sign of fear was connected to hart beating. We also wanted to find out the ration between the fear of speaking and how the situation of talking about someone`s favourite subject influences their public speaking, as well as school level of success, age and gender can influence their power of public speaking. The study showed no correlation between the fear of speaking and school success of students of the 8th and 4th grades. The research has proved that only the students of the 6 th grade demonstrate certain influence of scool succcess to public speaking. How much is someone in favor of topic he presents also influences the level of fear in public speaking. The research has also proved that female students have higher level of fear than male students, whose level of fear is increased with age.
Dynamic Scanning Electromagnetic Infrared Thermographic Analysis Based on Blind Source Separation for Industrial Metallic Damage Evaluation
Venue: IEEE Transactions on Industrial Informatics
Year: 2018

In order to solve the problems of low efficiency and small area of existing eddy current thermography industrial nondestructive testing, this work realizes in field of view (FOV) dynamic scanning eddy current pulsed thermography (DSECPT) with the help of blind source separation (BSS) algorithms for continuous detection of large scaled industrial components. The principle of FOV DSECPT, including finite length inductive heating of mobile coil, the reconstruction of transient temperature response, and feature extraction, is investigated. The original thermal images cannot be used for depth analysis; thus, new data reconstruction method with good adaptivity for manual movement was proposed. The emerging BSS algorithms, including independent component analysis and nonnegative matrix factorization, are employed to process the reconstructed data. Through experimental studies, images using various features from classical and BSS algorithms were compared. The proposed FOV DSECPT could provide a visualized and effective means for quality control and inspection of large scaled key components in both manufacturing and service processes.
Unsupervised Energy based Out of distribution Detection using Stiefel Restricted Kernel Machine
Venue: 2021 International Joint Conference on Neural Networks (IJCNN)
Year: 2021

Detecting out of distribution (OOD) samples is an essential requirement for the deployment of machine learning systems in the real world. Until now, research on energy based OOD detectors has focused on the softmax confidence score from a pre trained neural network classifier with access to class labels. In contrast, we propose an unsupervised energy based OOD detector leveraging the Stiefel Restricted Kernel Machine (St RKM) Training requires minimizing an objective function with an autoencoder loss term and the RKM energy where the interconnection matrix lies on the Stiefel manifold. Further, we outline multiple energy function definitions based on the RKM framework and discuss their utility. In the experiments on standard datasets, the proposed method improves over the existing energy based OOD detectors and deep generative models. Through several ablation studies, we further illustrate the merit of each proposed energy function on the OOD detection performance.
Estudio bibliometrico de la produccion cientifica sobre TIC en Peru (2010 2017)
Year: 2019

La presente investigacion tiene como objetivo evaluar la produccion cientifica peruana en las Tecnologias de Informacion y Comunicacion (TIC) Es un estudio descriptivo transversal mediante el analisis bibliometrico de los articulos publicados en revistas indizadas en SciELO Peru entre el ano 2010 y 2017. Se analizaron autoria, tipo de articulo, ejes tematicos, y productividad institucional. Se encontro que entre los anos 2010 y 2017, se ha publicado 19 articulos sobre TIC, de los cuales el 26.4% son publicaciones en la Revista Peruana de Medicina Experimental y Salud Publica, y el 30.8% de los autores indican tener como afiliacion principal a la Universidad Nacional Mayor de San Marcos. El principal eje tematico en el conjunto de publicaciones fue la ensenanza virtual (26% Podemos concluir que el desarrollo tecnologico viene contribuyendo con la publicacion cientifica del pais; sin embargo, es necesario seguir fortaleciendo estos estudios en demas bases de datos.
Superhydrophobic Cu 2 S@Cu 2 O film on copper surface fabricated by a facile chemical bath deposition method and its application in oil water separation
Year: 2017

Cu 2 S and Cu 2 O composite (Cu 2 S@Cu 2 O) film with micro/nano binary structure was created on copper surface using the mixing solution of sodium thiosulphate and copper sulfate by a facile chemical bath deposition method. After modification with low cost polydimethylsioxane (PDMS) the superhydrophobic Cu 2 S@Cu 2 O film was obtained. The as prepared film shows outstanding water repellency with a water contact angle larger than 150deg and long term storage stability. The geometric morphology and chemical composition of the film were characterized by scanning electron microscope (SEM) energy dispersive spectrometer (EDS) and attenuated total reflectance Fourier transform infrared spectroscopy (ATR FTIR) respectively. Moreover, the same method was used to fabricate superhydrophobic/superoleophilic copper mesh, and it could realize separation of various oily sewages with separation efficiency above 94% This strategy has potential to fabricate the practical superhydrophobic Cu 2 S@Cu 2 O film on copper surface on a large scale due to its simplicity and low cost.
Social Media Advertising: The Role of the Social Media Platform and the Advertised Brand in Attitude Formation and Purchase Intention
Venue: WEBIST
Year: 2019

Social media provide not only platforms for individual users for personal communication, but also serve as media for the dissemination of promotional messages. Recently, the role of social media platforms as earned media has been in focus, but paid advertising still plays a significant role in this respect. This study seeks to deepen the understanding of consumer behavior in this context by addressing consumer attitude towards social media advertising on two levels, i.e. general attitude towards advertising on a social media platform and specific attitude towards an individual advertisement on the social media platform. The study proposes and empirically tests a research model that shows a significant impact of platform enjoyment on general attitude towards advertising as well as brand familiarity as an antecedent of specific attitude towards an advertisement on the platform. Further, a significant impact of both levels of attitude on purchase intention could be shown. The findings stress the importance of a clear conceptualization of consumer attitude on different levels and highlight the relevance of paid advertising in social media.
Chatbots, Humbots, and the Quest for Artificial General Intelligence
Venue: CHI
Year: 2019

What began as a quest for artificial general intelligence branched into several pursuits, including intelligent assistants developed by tech companies and task oriented chatbots that deliver more information or services in specific domains. Progress quickened with the spread of low latency networking, then accelerated dramatically a few years ago. In 2016, task focused chatbots became a centerpiece of machine intelligence, promising interfaces that are more engaging than robotic answering systems and that can accommodate our increasingly phone based information needs. Hundreds of thousands were built. Creating successful non trivial chatbots proved more difficult than anticipated. Some developers now design for human chatbot (humbot) teams, with people handling difficult queries. This paper describes the conversational agent space, difficulties in meeting user expectations, potential new design approaches, uses of human bot hybrids, and implications for the ultimate goal of creating software with general intelligence.
Radiogenomic Based Survival Risk Stratification of Tumor Habitat on Gd T1w MRI Is Associated with Biological Processes in Glioblastoma
Venue: Clinical Cancer Research
Year: 2020

To (i) create a survival risk score using radiomic features from the tumor habitat on routine MRI to predict progression free survival (PFS) in glioblastoma and (ii) obtain a biological basis for these prognostic radiomic features, by studying their radiogenomic associations with molecular signaling pathways.  Two hundred three patients with pretreatment Gd T1w, T2w, T2w FLAIR MRI were obtained from 3 cohorts: The Cancer Imaging Archive (TCIA; n 130) Ivy GAP (n 32) and Cleveland Clinic (n 41) Gene expression profiles of corresponding patients were obtained for TCIA cohort. For every study, following expert segmentation of tumor subcompartments (necrotic core, enhancing tumor, peritumoral edema) 936 3D radiomic features were extracted from each subcompartment across all MRI protocols. Using Cox regression model, radiomic risk score (RRS) was developed for every protocol to predict PFS on the training cohort (n 130) and evaluated on the holdout cohort (n 73) Further, Gene Ontology and single sample gene set enrichment analysis were used to identify specific molecular signaling pathway networks associated with RRS features.  Twenty five radiomic features from the tumor habitat yielded the RRS. A combination of RRS with clinical (age and gender) and molecular features (MGMT and IDH status) resulted in a concordance index of 0.81 (P 0.0001) on training and 0.84 (P 0.03) on the test set. Radiogenomic analysis revealed associations of RRS features with signaling pathways for cell differentiation, cell adhesion, and angiogenesis, which contribute to chemoresistance in GBM.  Our findings suggest that prognostic radiomic features from routine Gd T1w MRI may also be significantly associated with key biological processes that affect response to chemotherapy in GBM.
MEDIA RELATIONS HUMAS PEMERINTAH KOTA PALEMBANG DALAM RANGKA KEBERHASILAN PUBLIKASI PROGRAM KERJA (STUDI PADA BIDANG HUMAS PEMERINTAH KOTA PALEMBANG PERIODE 2018 2019)
Year: 2020

Penelitian ini bertujuan untuk mengetahui media relations Humas Pemerintah Kota Palembang dalam rangka kebarhasilan publikasi program kerja. Hasil penelitian menggambarkan bahwa media relations Humas Pemerintah Kota Palembang melayani media dengan cara mengundang media kedalam acara kedinasan, peliputan kegiatan dan penerbitan advertisement. Membangun reputasi sebagai pihak yang di percaya dengan cara menyiapkan bahan berita yang akurat 24 jam dan merespon berita dengan cepat dan tanggap. Menyediakan Salinan yang baik dengan melakukan dengan cara menyediakan media kit dan penyebaran press release. Kerjasama dalam penyediaan materi dengan caramemberikan akses kepada pihak media untuk menggali berita, dan mengadakan konferensi pers.Menyediakan fasilitas verifikasi dengan cara pengadaan media center dan pemberian fasilitas kepada pihak pers. Membangun hubungan personal media dengan melaksanakan event media gathering dan press tour. Saran berdasarkan penelitian ini adalah agar humas dapat mempertahankan dan meningkatkan kinerja media reations agar hubungan baik tetap terjaga. Kata Kunci Media relations, Humas, Pemerintah Kota Palembang, Publikasi, Program Kerja
A feature extraction method based on HLMD and MFE for bearing clearance fault of reciprocating compressor
Year: 2016

According to the nonlinearity, nonstationarity and multi component coupling characteristics of reciprocating compressor vibration signal, a feature extraction method based on hermite local mean decomposition (HLMD) and multiscale fuzzy entropy (MFE) is proposed for the diagnosis of reciprocating compressor oversized bearing clearance faults. Firstly, aiming at the strong nonstationary characteristic of vibration signal, a novel HLMD algorithm was given by using the monotone piecewise cubic hermite interpolation (MPCHI) instead of cubic spline interpolation (CSI) to construct the envelopes. Secondly, HLMD was performed on the vibration signals in each state and a series of PF components are produced, and the highlighted PF components which contain the main information of fault state were chosen with the correlation coefficient. Thirdly, MFE of the selected PF components were calculated to form the eigenvectors matrix, and the eigenvectors which have the best divisibility were extracted based on the average euclidean distances of each scale factor. Finally, four bearing clearance fault states were extracted by the proposed method, and taken SVM as a pattern classifier, the faults were diagnosed accurately. Furthermore, the comparison of recognition results with other three feature extraction methods demonstrates the superiority of this method.
TREATMENT OF CHOREA
Year: 2007

Choreic movements are rapid, purposeless, flowing motor jerks. They result from dysfunction or damage of deep brain structures, usually the caudate nucleus, putamen, subthalamic nucleus, thalamus, or their interconnecting pathways. The prototypical neurodegenerative chorea is Huntington's disease. Chorea may occur in neurodegenerative diseases, may follow structural damage to the brain, or may be seen as a feature of medical illness, metabolic derangement, or a side effect of drugs. Drugs that increase dopamine or block acetylcholine may cause chorea, and drugs that block or deplete brain dopamine are most often used to control these involuntary movements.
Real Time Global Ionospheric Map and Its Application in Single Frequency Positioning
Venue: Sensors
Year: 2019

The prevalence of real time, low cost, single frequency, decimeter level positioning has increased with the development of global navigation satellite systems (GNSSs) Ionospheric delay accounts for most errors in real time single frequency GNSS positioning. To eliminate ionospheric interference in real time single frequency precise point positioning (RT SF PPP) global ionospheric vertical total electron content (VTEC) product is designed in the next stage of the International GNSS Service (IGS) real time service (RTS) In this study, real time generation of a global ionospheric map (GIM) based on IGS RTS is proposed and assessed. There are three crucial steps in the process of generating a real time global ionospheric map (RTGIM) estimating station differential code bias (DCB) using the precise point positioning (PPP) method, deriving slant total electron content (STEC) from PPP with raw observations, and modeling global vertical total electron content (VTEC) Experiments were carried out to validate the algorithm's effectiveness. First, one month's data from 16 globally distributed IGS stations were used to validate the performance of DCB estimation with the PPP method. Second, 30 IGS stations were used to verify the accuracy of static PPP with raw observations. Third, the modeling of residuals was assessed in high and quiet ionospheric activity periods. Afterwards, the quality of RTGIM products was assessed from two aspects: (1) comparison with the Center for Orbit Determination in Europe (CODE) global ionospheric map (GIM) products and (2) determination of the performance of RT SF PPP with the RTGIM. Experimental results show that DCB estimation using the PPP method can realize an average accuracy of 0.2 ns; static PPP with raw observations can achieve an accuracy of 0.7, 1.2, and 2.1 cm in the north, east, and up components, respectively. The average standard deviations (STDs) of the model residuals are 2.07 and 2.17 TEC units (TECU) for moderate and high ionospheric activity periods. Moreover, the average root mean square (RMS) error of RTGIM products is 2.4 TECU for the one month moderate ionospheric period. Nevertheless, for the high ionospheric period, the RMS is greater than the RMS in the moderate period. A sub meter level horizontal accuracy and meter level vertical accuracy can be achieved when the RTGIM is employed in RT SF PPP.
One stage flyback type power factor correction converter for LED driver
Venue: 2013 International Conference on Electrical Machines and Systems (ICEMS)
Year: 2013

An isolated power factor correction converter for power light emitting diode (LED) is presented. The converter is constructed with single stage by employing flyback topology, and the high power factor is accomplished through controlling the PFC circuit operates on the boundary between continuous and discontinuous current mode. The principle and design method of the converter is presented. A 180~.250V input, 70W constant current switch mode power supply with proposed method is designed, and experimental results show that the system has advantages of little bulk, high efficiency (87% and high power factor (0.97)
Rapid and efficient removal of heavy metal and cationic dye by carboxylate rich magnetic chitosan flocculants: Role of ionic groups.
Venue: Carbohydrate polymers
Year: 2018

A multifunctional carboxylate rich magnetic chitosan flocculant (Mag@PIA g CS) was prepared through surface graft copolymerization on magnetite particles. The effect of monomer molar ratio, initiator and pre neutralized degree on polymerization rate was determined. Various analytical methods were applied to characterize Mag@PIA g CS, exhibiting the successful grafting of polymers, good magnetic feature and core shell structure. The kinetic process of Ni(II) and malachite green (MG) flocculation by Mag@PIA g CS reached equilibrium within <60min with the optimal uptake rate of 98.3% and 87.4% and exhibited satisfactory removal effect in wide pH range (4.0 8.0 for Ni(II) 5.0 10.0 for MG) Mag@PIA g CS exhibited superior flocculation performance over chitosan magnetic flocculant (Mag@CS) The pH dependent behavior, rapid responsiveness and sensitivity to ionic strength in batch flocculation tests indicated the distinct effect of ionic groups. Moreover, sweeping action of linear molecular chains facilitated further flocculation. Mag@PIA g CS showed high stability in extreme environments, and can be easily regenerated and separated.
A real time model predictive control for building heating and cooling systems based on the occupancy behavior pattern detection and local weather forecasting
Year: 2014

Current research studies show that building heating, cooling and ventilation energy consumption account for nearly 40% of the total building energy use in the U.S. The potential for saving energy through building control systems varies from 5% to 20% based on recent market surveys. This papers introduces and illustrates a methodology for integrated building heating and cooling control to reduce energy consumption and maintain indoor temperature set point, based on the prediction of occupant behavior patterns and local weather conditions. Advanced machine learning methods including Adaptive Gaussian Process, Hidden Markov Model, Episode Discovery and Semi Markov Model are modified and implemented into this study. A Nonlinear Model Predictive Control (NMPC) is designed and implemented in real time based on dynamic programming. The experiment test bed is setup in the Solar House, with over 100 sensor points measuring indoor environmental parameters, power consumption and ambient conditions. The experiments are carried out for two continuous months in the heating season and for a week in the cooling season. The results show that there is a 30.1% measured energy reduction in the heating season compared with the conventional scheduled temperature set points, and 17.8% energy reduction in the cooling season.
Relationship between burnout and depressive symptoms: A study using the person centred approach
Year: 2014

We applied a person centred approach to study the relationship between burnout and depressive symptoms at baseline and over seven years. We examined how the symptom clusters and trajectories are related to the baseline sociodemographic and psychosocial work characteristics. At baseline, burnout and depressive symptoms clustered into three groups: low, intermediate, and high level of symptoms. Four developmental trajectories low, high, increasing and decreasing symptoms emerged in the longitudinal analysis. The psychosocial work characteristics were reflected in the level and development of the symptoms. The results support the conceptual similarity between burnout and depressive symptoms in the work context.