nils-herrmann/clean_scirepeval huggingface dataset:
Short term load forecasting using Multiple Linear Regression

this paper we present an investigation for the short term (up 24 hours) load forecasting of the demand for the South Sulewesi's (Sulewesi Island - Indonesia) Power System, using a multiple linear regression (MLR) method. After a brief analytical discussion of the technique, the usage of polynomial terms and the steps to compose the MLR model will be explained. Report on implementation of MLR algorithm using commercially available tool such as Microsoft EXCELTM will also be discussed. As a case study, historical data consisting of hourly load demand and temperatures of South Sulawesi electrical system will be used, to forecast the short term load. The results will be presented and analysed potential for improvement using alternative methods is also discussed.
3D video and free viewpoint video - From capture to display

This paper gives an end-to-end overview of 3D video and free viewpoint video, which can be regarded as advanced functionalities that expand the capabilities of a 2D video. Free viewpoint video can be understood as the functionality to freely navigate within real world visual scenes, as it is known for instance from virtual worlds in computer graphics. 3D video shall be understood as the functionality that provides the user with a 3D depth impression of the observed scene, which is also known as stereo video. In that sense as functionalities, 3D video and free viewpoint video are not mutually exclusive but can very well be combined in a single system. Research in this area combines computer graphics, computer vision and visual communications. It spans the whole media processing chain from capture to display and the design of systems has to take all parts into account, which is outlined in different sections of this paper giving an end-to-end view and mapping of this broad area. The conclusion is that the necessary technology including standard media formats for 3D video and free viewpoint video is available or will be available in the future, and that there is a clear demand from industry and user for such advanced types of visual media. As a consequence we are witnessing these days how such technology enters our everyday life & 2010 Elsevier Ltd. All rights reserved.
Percutaneous left atrial appendage closure vs warfarin for atrial fibrillation: a randomized clinical trial.

While effective in preventing stroke in patients with atrial fibrillation (AF), warfarin is limited by a narrow therapeutic profile, a need for lifelong coagulation monitoring, and multiple drug and diet interactions.



To determine whether a local strategy of mechanical left atrial appendage (LAA) closure was noninferior to warfarin.



PROTECT AF was a multicenter, randomized (2:1), unblinded, Bayesian-designed study conducted at 59 hospitals of 707 patients with nonvalvular AF and at least 1 additional stroke risk factor (CHADS2 score ≥1). Enrollment occurred between February 2005 and June 2008 and included 4-year follow-up through October 2012. Noninferiority required a posterior probability greater than 97.5% and superiority a probability of 95% or greater; the noninferiority margin was a rate ratio of 2.0 comparing event rates between treatment groups.



Left atrial appendage closure with the device (n = 463) or warfarin (n = 244; target international normalized ratio, 2-3).



A composite efficacy end point including stroke, systemic embolism, and cardiovascular/unexplained death, analyzed by intention-to-treat.



At a mean (SD) follow-up of 3.8 (1.7) years (2621 patient-years), there were 39 events among 463 patients (8.4%) in the device group for a primary event rate of 2.3 events per 100 patient-years, compared with 34 events among 244 patients (13.9%) for a primary event rate of 3.8 events per 100 patient-years with warfarin (rate ratio, 0.60; 95% credible interval, 0.41-1.05), meeting prespecified criteria for both noninferiority (posterior probability, >99.9%) and superiority (posterior probability, 96.0%). Patients in the device group demonstrated lower rates of both cardiovascular mortality (1.0 events per 100 patient-years for the device group [17/463 patients, 3.7%] vs 2.4 events per 100 patient-years with warfarin [22/244 patients, 9.0%]; hazard ratio [HR], 0.40; 95% CI, 0.21-0.75; P = .005) and all-cause mortality (3.2 events per 100 patient-years for the device group [57/466 patients, 12.3%] vs 4.8 events per 100 patient-years with warfarin [44/244 patients, 18.0%]; HR, 0.66; 95% CI, 0.45-0.98; P = .04).



After 3.8 years of follow-up among patients with nonvalvular AF at elevated risk for stroke, percutaneous LAA closure met criteria for both noninferiority and superiority, compared with warfarin, for preventing the combined outcome of stroke, systemic embolism, and cardiovascular death, as well as superiority for cardiovascular and all-cause mortality.
The stressed hippocampus, synaptic plasticity and lost memories

Stress is a biologically significant factor that, by altering brain cell properties, can disturb cognitive processes such as learning and memory, and consequently limit the quality of human life. Extensive rodent and human research has shown that the hippocampus is not only crucially involved in memory formation, but is also highly sensitive to stress. So, the study of stress-induced cognitive and neurobiological sequelae in animal models might provide valuable insight into the mnemonic mechanisms that are vulnerable to stress. Here, we provide an overview of the neurobiology of stress–memory interactions, and present a neural–endocrine model to explain how stress modifies hippocampal functioning.
Power Distribution in Coupled Multiple-Coil Inductors for Induction Heating Appliances

In this paper, a theoretical model of multiple-coil inductors supplied by resonant half-bridge inverters in induction hobs is proposed. The model includes the most relevant coupling effects and allows the calculation of the coil currents and the inverter's output power for any modulation parameters, even with different switching frequencies and duty cycles. Furthermore, the power distribution in the pan is calculated and the relationship with the output powers of the power stage is obtained, so that they can be controlled to obtain a homogeneous power distribution and a more uniform heating.
Lazy Modeling of Variants of Token Swapping Problem and Multi-agent Path Finding through Combination of Satisfiability Modulo Theories and Conflict-based Search

We address item relocation problems in graphs in this paper. We assume items placed in vertices of an undirected graph with at most one item per vertex. Items can be moved across edges while various constraints depending on the type of relocation problem must be satisfied. We introduce a general problem formulation that encompasses known types of item relocation problems such as multi-agent path finding (MAPF) and token swapping (TSWAP). In this formulation we express two new types of relocation problems derived from token swapping that we call token rotation (TROT) and token permutation (TPERM). Our solving approach for item relocation combines satisfiability modulo theory (SMT) with conflict-based search (CBS). We interpret CBS in the SMT framework where we start with the basic model and refine the model with a collision resolution constraint whenever a collision between items occurs in the current solution. The key difference between the standard CBS and our SMT-based modification of CBS (SMT-CBS) is that the standard CBS branches the search to resolve the collision while in SMT-CBS we iteratively add a single disjunctive collision resolution constraint. Experimental evaluation on several benchmarks shows that the SMT-CBS algorithm significantly outperforms the standard CBS. We also compared SMT-CBS with a modification of the SAT-based MDD-SAT solver that uses an eager modeling of item relocation in which all potential collisions are eliminated by constrains in advance. Experiments show that lazy approach in SMT-CBS produce fewer constraint than MDD-SAT and also achieves faster solving run-times.
An Improved Design for a 1–18 GHz Double-Ridged Guide Horn Antenna

It is a well known fact that the traditional 1-18 GHz double ridge guide horn (DRGH) antenna suffers from pattern deterioration above 12 GHz. At these frequencies, instead of maintaining a single main lobe radiation pattern, the pattern splits up into four lobes. It was shown in the literature that higher order modes are causing the pattern breakup. A benchmark study is performed to establish the performance of typical current and historic 1-18 GHz DRGH antennas. The performance of the antennas are evaluated in terms of gain, VSWR and radiation patterns. An improved 1-18 GHz DRGH antenna is presented. The new design has better gain and VSWR performance without any pattern deterioration. It also consists of significantly fewer parts, reducing the possibility of performance deterioration due to gaps between parts. Two prototypes of the new design were manufactured and tested with excellent agreement between measured and simulated results. The aperture dimensions of the new design are identical to that of the traditional DRGH, making it the only 1-18 GHz DRGH without pattern breakup whose aperture dimensions comply with the requirements specified in MIL-STD-461F - 24.2 by 13.6 cm.
MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been optimized for use on 64-bit computing systems for analyzing larger datasets. Researchers can now explore and analyze tens of thousands of sequences in Mega The new version also provides an advanced wizard for building timetrees and includes a new functionality to automatically predict gene duplication events in gene family trees. The 64-bit Mega is made available in two interfaces: graphical and command line. The graphical user interface (GUI) is a native Microsoft Windows application that can also be used on Mac OS X. The command line Mega is available as native applications for Windows, Linux, and Mac OS X. They are intended for use in high-throughput and scripted analysis. Both versions are available from www.megasoftware.net free of charge.
SALMA: Standard Arabic Language Morphological Analysis

Morphological analyzers are preprocessors for text analysis. Many Text Analytics applications need them to perform their tasks. This paper reviews the SALMA-Tools (Standard Arabic Language Morphological Analysis) . The SALMA-Tools is a collection of open-source standards, tools and resources that widen the scope of Arabic word structure analysis - particularly morphological analysis, to process Arabic text corpora of different domains, formats and genres, of both vowelized and non-vowelized text. Tag-assignment is significantly more complex for Arabic than for many languages. The morphological analyzer should add the appropriate linguistic information to each part or morpheme of the word (proclitic, prefix, stem, suffix and enclitic); in effect, instead of a tag for a word, we need a subtag for each part. Very fine-grained distinctions may cause problems for automatic morphosyntactic analysis - particularly probabilistic taggers which require training data, if some words can change grammatical tag depending on function and context; on the other hand, fine-grained distinctions may actually help to disambiguate other words in the local context. The SALMA - Tagger is a fine grained morphological analyzer which is mainly depends on linguistic information extracted from traditional Arabic grammar books and prior-knowledge broad-coverage lexical resources; the SALMA - ABCLexicon. More fine-grained tag sets may be more appropriate for some tasks. The SALMA - Tag Set is a standard tag set for encoding, which captures long-established traditional fine-grained morphological features of Arabic, in a notation format intended to be compact yet transparent.
Design of an RFID-Based Battery-Free Programmable Sensing Platform

This paper presents the wireless identification and sensing platform (WISP), which is a programmable battery-free sensing and computational platform designed to explore sensor-enhanced radio frequency identification (RFID) applications. WISP uses a 16-bit ultralow-power microcontroller to perform sensing and computation while exclusively operating from harvested RF energy. Sensors that have successfully been integrated into the WISP platform to date include temperature, ambient light, rectified voltage, and orientation. The microcontroller encodes measurements into an electronic product code (EPC) Class 1 Generation 1 compliant ID and dynamically computes the required 16-bit cyclical redundancy checking (CRC). Finally, WISP emulates the EPC protocol to communicate the ID to the RFID reader. To the authors' knowledge, WISP is the first fully programmable computing platform that can operate using power transmitted from a long-range (UHF) RFID reader and communicate arbitrary multibit data in a single response packet.
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers

Most approaches to extraction multiple relations from a paragraph require multiple passes over the paragraph. In practice, multiple passes are computationally expensive and this makes difficult to scale to longer paragraphs and larger text corpora. In this work, we focus on the task of multiple relation extraction by encoding the paragraph only once (onepass). We build our solution on the pre-trained self-attentive (Transformer) models, where we first add a structured prediction layer to handle extraction between multiple entity pairs, then enhance the paragraph embedding to capture multiple relational information associated with each entity with an entity-aware attention technique. We show that our approach is not only scalable but can also perform state-of-the-art on the standard benchmark ACE 2005.
The Character Strengths Rating Form ( CSRF ) : Development and initial assessment of a 24-item rating scale to assess character strengths

Character strengths are morally, positively, valued traits that are related to several positive life outcomes. In this study, the Character Strengths Rating Form (CSRF), a 24-item rating form of character strengths based on the classification proposed by Peterson and Seligman (2004), was developed using the data of 211 German-speaking adults. The CSRF yielded good convergence with Peterson and Seligman’s Values in Action Inventory of Strengths (VIA-IS) in terms of descriptive statistics, relationships with socio-demographic variables, and associations with life satisfaction; the means correlated .91, and standard deviations correlated .80. Correlations between corresponding strengths in the CSRF and the VIA-IS were between .41 and .77. Rank-order correlations of the correlations of both measures with age, education, and life satisfaction were .74, .76, and .84, respectively. Factor structure congruence coefficients ranged between .92 and .99. The rank-order correlation of the associations of the 5 factors with life satisfaction was .90. The CSRF proved to be a valid instrument for the assessment of character strengths. Its use is recommended for a brief measurement of character strengths when economy of instruments is at a premium (e.g., in large-scale longitudinal studies).  https://doi.org/10.1016/j.paid.2014.03.042   Originally published at: Ruch, Willibald; Martínez-Martí, María Luisa; Proyer, Rene T; Harzer, Claudia (2014). The Character Strengths Rating Form (CSRF): Development and initial assessment of a 24-item rating scale to assess character strengths. Personality and Individual Differences, 68:53-58.  This	  manuscript	  was	  published	  as: Ruch,	  W.,	  Martínez-­‐Martí,	  M.	  L.,	  Proyer,	  R.	  T.,	  &	  Harzer,	  C.	  (2014).	  The Character	  Strengths	  Rating	  Form	  (CSRF):	  Development	  and	  initial assessment	  of	  a	  24-­‐Item	  rating	  scale	  to	  assess	  character	  strengths. Personality	  and	  Individual	  Differences,	  68,	  53-­‐58. doi:10.1016/j.paid.2014.03.042 Social Indicators Research The Character Strengths Rating Form (CSRF): Development and Initial Assessment of a 24-Item Rating Scale to Assess Character Strengths --Manuscript Draft-Manuscript Number:  The Character Strengths Rating Form (CSRF): Development and Initial Assessment of a 24-Item Rating Scale to Assess Character Strengths Article Type: Original Research
Analyzing Hypersensitive AI: Instability in Corporate-Scale Machine Learning

Predictive geometric models deliver excellent results for many Machine Learning use cases. Despite their undoubted performance, neural predictive algorithms can show unexpected degrees of instability and variance, particularly when applied to large datasets. We present an approach to measure changes in geometric models with respect to both output consistency and topological stability. Considering the example of a recommender system using word2vec, we analyze the influence of single data points, approximation methods and parameter settings. Our findings can help to stabilize models where needed and to detect differences in informational value of data points on a large scale.
Efficacy of the third wave of behavioral therapies: a systematic review and meta-analysis.

During the last two decades a number of therapies, under the name of the third wave of cognitive behavior therapy (CBT), have been developed: acceptance and commitment therapy (ACT), dialectical behavior therapy (DBT), cognitive behavioral analysis system of psychotherapy (CBASP), functional analytic psychotherapy (FAP), and integrative behavioral couple therapy (IBCT). The purposes of this review article of third wave treatment RCTs were: (1) to describe and review them methodologically, (2) to meta-analytically assess their efficacy, and (3) to evaluate if they currently fulfil the criteria for empirically supported treatments. There are 13 RCTs both in ACT and DBT, 1 in CBASP, 2 in IBCT, and none in FAP. The conclusions that can be drawn are that the third wave treatment RCTs used a research methodology that was significantly less stringent than CBT studies; that the mean effect size was moderate for both ACT and DBT, and that none of the third wave therapies fulfilled the criteria for empirically supported treatments. The article ends with suggestions on how to improve future RCTs to increase the possibility of them becoming empirically supported treatments.
Ontology Languages for the Semantic Web

being used in many other applications to explicitly declare the knowledge embedded in them. However, not only are ontologies useful for applications in which knowledge plays a key role, but they can also trigger a major change in current Web contents. This change is leading to the third generation of the Web—known as the Semantic Web—which has been defined as “the conceptual structuring of the Web in an explicit machine-readable way.”1 This definition does not differ too much from the one used for defining an ontology: “An ontology is an explicit, machinereadable specification of a shared conceptualization.”2 In fact, new ontology-based applications and knowledge architectures are developing for this new Web. A common claim for all of these approaches is the need for languages to represent the semantic information that this Web requires—solving the heterogeneous data exchange in this heterogeneous environment. Here, we don’t decide which language is best of the Semantic Web. Rather, our goal is to help developers find the most suitable language for their representation needs.
A Two-Wheeled Self-Balancing Robot with the Fuzzy PD Control Method

A two-wheeled self-balancing robot with a fuzzy PD control method is described and analyzed as an example of a high-order, multiple-variable, nonlinear, strong-coupling, and unstable system. Based on a system structure model, a kinetic equation is constructed using Newtonian dynamics andmechanics. After a number of simulation experiments, we get the bestQ,R, and state-feedback matrices. Then a fuzzy PD controller is designed for which the position and speed of the robot are inputs and for which the angle and angle rate of the robot are controlled by a PD controller. Finally, this paper describes a real-time control platform for the two-wheeled self-balancing robot that controls the robot effectively, after some parameter debugging. The result indicates that the fuzzy PD control algorithm can successfully achieve self-balanced control of the two-wheeled robot and prevent the robot from falling.
Combining low-cost Inertial Measurement Unit (IMU) and deep learning algorithm for predicting vehicle attitude

In the paper, we propose an acceleration-based and angular-velocity-based vehicle attitude recognition method by using a popular deep learning algorithm, i.e., Convolution Neural Network (CNN). We use an Inertial Measurement Unit (IMU) to collect six-axial signal of a vehicle. In particular, we construct a CNN model to learn the characteristics of six-axial IMU signal and the model can be used to predict vehicle attitudes. We constructed training data consists of 800 package from six attitudes. In addition, we preprocess the 800 package that each package will be broken down. Finally, our training data is 59200 sample-train. The experiment results show that the CNN works well, which can reach an average accuracy of 98% by the time of 1/5 of the overall action without any feature extraction methods. Because we use CNN model that it's the number of convolution kernel is less, we can reach real-time. Each estimated time is less than 0.5 sec based on the raspberry pi3.
Interactive Entity Resolution in Relational Data: A Visual Analytic Tool and Its Evaluation

Databases often contain uncertain and imprecise references to real-world entities. Entity resolution, the process of reconciling multiple references to underlying real-world entities, is an important data cleaning process required before accurate visualization or analysis of the data is possible. In many cases, in addition to noisy data describing entities, there is data describing the relationships among the entities. This relational data is important during the entity resolution process; it is useful both for the algorithms which determine likely database references to be resolved and for visual analytic tools which support the entity resolution process. In this paper, we introduce a novel user interface, D-Dupe, for interactive entity resolution in relational data. D-Dupe effectively combines relational entity resolution algorithms with a novel network visualization that enables users to make use of an entity's relational context for making resolution decisions. Since resolution decisions often are interdependent, D-Dupe facilitates understanding this complex process through animations which highlight combined inferences and a history mechanism which allows users to inspect chains of resolution decisions. An empirical study with 12 users confirmed the benefits of the relational context visualization on the performance of entity resolution tasks in relational data in terms of time as well as users' confidence and satisfaction.