Reviewerly/exHarmony huggingface dataset:
Obstacles in SME Financing: The Case of Masko

Small and medium sized enterprises (SMEs) have many benefits for the economy.They employ workforce, make investments, and pay taxes.Most of the time, they create innovative products that enhance competition.Therefore they can contribute to economy by providing innovative goods and services to the larger companies.However, they have short credit records and high risk as no concrete business is available.This kind of structure makes it difficult to finance projects if they don't have sufficient shareholders' equity.Bank loans are often not available, or they have high costs, bureaucracy and collateral requirements.Capital markets are also not accessible or provide low pricing for company stocks.Alternatives such as angel capital and crowd funding are available but they also have their limitations.This research has the goal to identify obstacles in SME financing and propose solutions in this field.A survey is made in Masko, an organized industrial zone in Ikitelli region, Istanbul, Turkey.The number of completed surveys are 416.There are information on sampling, scaling, reliability, factor analysis and regression analysis in the research.With the regression analysis the main hypothesis of the research: Solution Proposals for Financing of SMEs is being affected by other dimensions of the study.is accepted.The significant dependent variables that affect SME Financing are the frequency of using financial vehicles and Information on Financial Vehicles.A discussion section on research findings elaborates these results as well as some demographic variables such as gender, age, education, business operating period, having a finance department, obtaining loans and duration of loans.Some of the solution proposals available in the conclusion are lifelong learning and innovation, adjustments to the banking system, tax incentives, and transparency.
A Practical Planning Framework and Its Implementation for Autonomous Navigation in Off-road Environment.

In this paper, we introduce a practical two-layer planning framework for autonomous vehicles operating in unknown off-road environment. The first layer refers to a global path planning layer, searching a shortest global path from road network according to given task points. We build up road network through pre-processing on Google earth and refactoring network in terms of vehicle real historical trajectory on real-time. The second layer refers to a local planning layer, solving a real-time planning problem to generate a collision-free and kinematic-feasible local path by a hybrid trajectory planning method. Our method has been verified in real off-road environment. Experimental results show that the proposed planning method performs well in off-road environment.
A Convolutional Neural Network for Handwritten Digit Recognition

Technological development in recent years has generated the constant need to digitalize and analyze data, where handwritten digit recognition is a popular problem. This paper focuses on the creation of two handwritten digit datasets and their use to train a Convolutional Neural Network (CNN) to classify them, also, a proposed extra preprocessing technique is applied to the images of one of the data sets. Experiments show that the proposed preprocessing technique lead to obtain accuracies above 98%, which were higher than the values obtained with the dataset without the additional preprocessing.
Head Motion Compensation for Visible-Spectrum Gaze Trackers

The visible-spectrum gaze tracker (VSGT), which is designed without the extra Infra-ray (IR) illuminations, has provided a more superior user experience than the traditional IR-based on gaze tracker. However, the head motion compensation for a VSGT appears to be challenging due to the lack of stable glints on the human eyes. In this paper, a new head motion compensation mechanism for binocular VSGT has been proposed. The improvement comes from the fact that the proposed approach can accurately estimate the relative positions/poses among the camera, the screen, and the human eyes. The experimental results show that the proposed approach has led to a promising result of the head motion compensation.
Modeling of wood resonances in prototype guitar top plates

We present the results of using COMSOL modeling tools to explore the resonance structure of prototype guitar top plates fashioned from several different grades of spruce. Comsol provides a platform for applying acoustical analysis to a variety of objects using the finite element method. Our studies utilize these techniques to explore the nature of normal mode vibrations in spruce top plates without bracing. The calculated normal modes will be compared to measured frequencies of prototype top plates. In addition, models of different grades of wood will also be explored in an effort to clarify which wood properties affect specific physical parameters for improved modeling.
A Method for Acquiring Experiential Engineering Knowledge from Online Engineering Forums

Question and answer (Q&A) is the most primitive and common way of knowledge exchange. There is a lot of empirical knowledge accumulated in the Q&A record of online engineering forums. In order to acquire experiential engineering knowledge from the Q&A record, first an ontology of experiential engineering knowledge is constructed by referring to authoritative and structured domain text, whereby a formal conceptualization of a specific engineering field is obtained. In view of the relatively lower quality of empirical Q&A compared with authoritative knowledge source, the quality of online Q&A in the field of computer-aided engineering is evaluated by referring to the relevant methods in the quality evaluation of community Q&A. Finally, by selecting high-quality Q&A and express it as ontology concepts and attributes, the acquisition of experiential engineering knowledge is achieved.
COMPARISON OF RED CELL DISTRIBUTION WIDTH (RDW) AND APACHE II SCORE AS PROGNOSTIC MARKER AMONG PATIENTS OF SEPSIS AND SEPTIC SHOCK IN A TERTIARY CARE INSTITUTE, SOUTHERN RAJASTHAN

15Oct 2019 COMPARISON OF RED CELL DISTRIBUTION WIDTH (RDW) AND APACHE II SCORE AS PROGNOSTIC MARKER AMONG PATIENTS OF SEPSIS AND SEPTIC SHOCK IN A TERTIARY CARE INSTITUTE, SOUTHERN RAJASTHAN Murugesh Manjunatha , Hemant Mahur , D. P. Singh , Darshan R. S , Shaitan Singh Jat and Rajath Rao Resident, Dept of Medicine, Maharana Bhupal Associate group of hospitals and RNT Medical College, Udaipur, Rajasthan[India] Professor , Dept of Medicine, Maharana Bhupal Associate group of hospitals and RNT Medical College, Udaipur, Rajasthan[India] Senior Professor, Dept of Medicine, Maharana Bhupal Associate group of hospitals and RNT Medical College, Udaipur, Rajasthan[India] Resident, Dept of Medicine, Maharana Bhupal Associate group of hospitals and RNT Medical College, Udaipur, Rajasthan[India] Resident, Dept of Preventive and Social Medicine, Maharana Bhupal Associate group of hospitals and RNT Medical College, Udaipur, Rajasthan[India]
Ryazan Universities Networking Cooperation: The Theory and Experience of the Organization

The modern priorities in the development of the education system in Russia are shown in the article. The definition of networking cooperation is analyzed, its main characteristics are given. The main network forms of cooperation such as integration of resources in the conditions of chronic shortage of fixed assets; the national educational standard; the emergence of professional communities; integration into global processes; the gradual transition from formal guidelines for the managing education program-target methods of management; changes in the composition of participants in the management processes and the transition to a multiprofessional cooperative relations are presented. The characteristics of networking cooperation as opposed to non-networking one are shown. The directions and types of networking cooperation in education are mentioned in the article. The types of educational resources, which can be used like a network, are represented by five generalized groups: human resources, information resources, material and technical resources, educational and methodical resources, social resources. Five main characteristics of the network organization are explained in the article. The questions of the organizing Russian universities networking cooperation are described. The example of organizing networking cooperation between the main Ryazan universities on the basis of a specially designed program is given. The initiator of Ryazan universities networking cooperation is Ryazan State Radio Engineering University named after V.F. Utkin. It is planned to create a common network for all leading universities in Ryazan. The existing results are given in the article. The control-flow chart of the subprogram – client work and the control-flow chart of the subprogram – server work are shown in pictures.
Introduction to Data Analysis

Up to this point, we’ve covered enough Python basics and programming concepts to move on toward bigger and better things. This week will encompass a full introduction into the data analysis libraries that Python has to offer. We won’t go in depth like other books that focus on this subject; instead we’ll cover enough to get you well on your way to analyzing and parsing information.
Остров Чеджудо: города и жители глазами уральского путешественника. Часть вторая

The article presents a traveling essay on a trip to the Jeju Island as the most unusual, unique and marvelous region of South Korea. These are the Author`s own travel notes based on his personal experience, observations and impressions during his trip to the Island in 2013.
Designing Method of Art Education Course Based on Moodle Platform

main content of this paper is the curriculum design and development of Moodle platform and its environment. It also provides a detailed description of applying the various modules and resources of Moodle platform. research explores the construction of the open source network teaching platform, constructs an example of online learning platform, and establishes a platform-based network course The Basis of Art Design, according to the principles of online curriculum design and the requirements of teachers' educational technology literacy. Finally, the online learning platform is applied to teaching, and a questionnaire survey is conducted among students, aiming at the reflected questions. In the design of the system, based on the needs of specific courses, the functional modules of Moodle platform are redeveloped. To meet the specific curriculum requirements of the system, we also improve the application of the system in practical teaching activities, and complete the effective design of the system.
Improving Code Smell Predictions in Continuous Integration by Differentiating Organic from Cumulative Measures

Continuous integration and deployment are enablers of quick innovation cycles of software and systems through incremental releases of a product within short periods of time. If software qualities can be predicted for the next release, quality managers can plan ahead with resource allocation for concerning issues. Cumulative metrics are observed to have much higher correlation coefficients compared to non-cumulative metrics. Given the difference in correlation coefficients of cumulative and noncumulative metrics, this study investigates the difference between metrics of these two categories concerning the correctness of predicting code smell which is internal software quality. This study considers 12 metrics from each measurement category, and 35 code smells collected from 36,217 software revisions (commits) of 242 open source Java projects. We build 8,190 predictive models and evaluate them to determine how measurement categories of predictors and targets affect model accuracies predicting code smells. To further validate our approach, we compared our results with Principal Component Analysis (PCA), a statistical procedure for dimensionality reduction. Results of the study show that within the context of continuous integration, non-cumulative metrics as predictors build better predictive models with respect to model accuracy compared to cumulative metrics. When the results are compared with models built from extracted PCA components, we found better results using our approach.
Assessment and improvement of thermoelectric pyranometer measurements

This work evaluates the variability of thermoelectric pyranometer calibration values seen when using different calibration methods and practices. The pyranometer calibration ISO 9847:1992 standard leaves many procedural details to the user’s discretion. The variability resulting from different interpretations influences PV system performance monitoring and energy yield modelling. Improved methods and more robust standardisation are therefore needed to reduce uncertainty in field-deployed thermoelectric pyranometers and consequently reduce risk in PV system energy yield assessment. This paper investigates the variability induced by relaxed calibration procedures defined in the standard Furthermore, it proposes indoor procedures for the characterisation of pyranometer response to incidence angle and temperature which have not yet been defined in the standards. Uncertainty of calibration factors including under high angles of incidence and a few cloudy data series from outdoor methods were found to be up to 2.08%, compared with 1.4% stated by the manufacturer. Uncertainty increases up to 4.73% when reference and test sensors are of different types. Results of indoor calibration procedures agreed to within 1.21% even when calibrating multiple sensors at the same time. The instability of the irradiance source contributed more to the overall uncertainty than the selection of the procedure. The angular response of the devices tested was close to the prescribed limits [1].
Collaborative Methods to Reduce the Disastrous Effects of the Overlapping ON Problem in DASH

The performance of today's adaptive video streaming players (DASH) is severely hindered by overlapping ON-OFF patterns that occurs during a streaming session.High switching rates, freezing and skipping annoy users resulting in poor user-QoE.This paper attempts to overcome the ON-OFF problem by keeping players aware of each other's downloads and inter-request times.Using this a player is able to better predict future player actions and reschedule their downloads to produce least conflicts with others.If a player's start segment download overlaps with the end of one or more players' current downloads within a certain time t 1 it waits until the download of others completes before starting its own download.Conversely if too many players are sharing the bottleneck link a player will hold of its download by a time t 2 enabling others to move towards completion of their downloads.This reduces the overlap of its download with other players.Both these methods help reduce competition at the bottleneck and produces a more balanced sharing of network resources.
Deep Domain Adaption for Convolutional Neural Network (CNN) based Iris Segmentation: Solutions and Pitfalls

Addressing the lack of massive amounts of labeled training data, deep domain adaptation has been applied successfully in many applications of machine learning. We investigate the application of deep domain adaptation for CNN based iris segmentation, exploring available solutions and their corresponding strengths and pitfalls, with several major contributions. First, we provide a comprehensive survey of current deep domain adaptation methods according to the properties of data that cause the domains divergence. Second, after selecting credible methods, we evaluate their expedience in terms of iris segmentation performance. Third, we analyze and compare the performance against the state-of-the-art methods under these categories. Forth, potential shortfalls of current methods and several future directions are pointed out and discussed.
Attracting New Students, Satisfying Current Students, and Creating Fans of an Educational Institution

Markteffect, a full-service market research company, investigated potential students’ orientation processes, how to increase current students’ happiness with their schools, and how schools can make fans and ambassadors of their current students and alumni. Multiple studies were conducted with research techniques like interviews, group discussions, and quantitative surveys among thousands of potential and current college and university students. Results show that current students’ experiences are especially important in potential students’ orientation processes and that social media can play an important role in creating a realistic impression of a school—especially its atmosphere, which is the strongest determinant of school choice. Good lecturers and clear communications regarding job possibilities also attract new students and enhance current students’ satisfaction. A strong connection with the school and fellow students creates alumni who are fans and who will play a role in attracting new students through word-of-mouth. Social networking sites, especially Facebook and LinkedIn, can help the school maintain contact with such fans. The study’s results can help schools optimize their recruiting strategies and digital marketing strategies to attract new students and to distinguish themselves from other schools.
Curtis Institute of Music—Organ studio renovation

Inspection of former percussion studios in the Curtis mansion basement revealed a warren of four small rooms more like dungeon cells than a future organ studio. Acoustic tile ceilings hid a hodge-podge of noisy air-handling equipment, plus a hundred-year accumulation of pipes, conduit and cables. The client’s initial plans for a “paint and carpet” refresh quickly evolved into a major renovation, with a particular design challenge presented by three massive brick piers dividing the studio into four distinct spaces. The largest room became the teaching studio with organ console, a middle room the organ chamber, an internal corridor serves as a sound expansion space for the chamber, and the smallest room holds noisy mechanical equipment and organ blower. Sound isolation ceilings prevent “noise” from traveling up to meeting and reception space above. A lower, finished studio ceiling hides building infrastructure from view, and also functions as a sound distribution space connecting organ chamber to grilles beside and behind the console. Walls have diffuser panels to scatter sound and mid/low-frequency absorber panels to prevent boominess and excessive loudness. The small studio sounds much larger than its actual size, with a pleasant sense of spaciousness and envelopment for organist and listeners.
Study of Cloud ERP Service Mode Selection Model Based on IFS-TOPSIS

The selection of Cloud ERP service mode is one of the key problems in the process of Cloud ERP application. In order to reduce information loss, in this paper, the interval intuitionistic fuzzy number is used to replace the real number, and the fuzzy measure is used to replace the weight to express the importance of the evaluation index. Based on the interval intuitionistic fuzzy average operator IFA, a multi-attribute decision-making method based on IFS-TOPSIS is constructed to realize the optimal selection of Cloud ERP service mode.
Customizing an Announcement List with jQuery

In this example, leadership wanted to have information about network alerts on our main SharePoint home page. At the Air Force Academy, we have two different networks (educational and military). Each alert would be characterized by order of importance as Outage, HAZCON, or Informational. My design was to have an Announcements list with unique permissions so that only the group that was allowed to add alerts could edit it. Everyone would have read access. I would customize the display using jQuery so that outages would be more prominent.
Полипространственные эффекты в опере «Квартет» Лука Франческони

The article is devoted to the staging of the opera of the contemporary Italian composer Luca Francesconi “Quartet”. The opera has been performed more than fifty times since the premiere; it was performed in six different fulllength productions, including concert performances. In 2014, after the Italian version ofLa Scala, the opera was again staged by director Henry Fuljames on the stage of the Covent Garden Theater inLondon. Analyzing the structure of the opera, the author comes to the conclusion that the concept is based on the poly-spatial principle. Francesconi divides the orchestra into two parts, placing the chamber orchestra in the orchestra pit, while the other part, the virtual orchestra, is invisible to the viewer and is heard next to the choir with electronic amplification. The effect of a combination of various theatrical, musical and virtual spaces becomes a kind of existential illusion in which the audience suspects that someone is watching them from a larger space.
Le sollecitazioni delle Corti e l’inerzia del legislatore in tema di suicidio assistito. Un confronto tra Italia e Inghilterra

Starting from the analysis of the decision of the Italian Constitutional Court on the “Cappato case”, the essay is the occasion for a joint reflection between Italian constitutional law and comparative law on the subject of assisted suicide and euthanasia, which seems to determine the inertia of the legislators in the face of activism of the Courts, perpetually seeking a dialogue with the first. To suffer the most serious damage of these attitudes are the sick, who in this matter more than ever need certainty to the law .
COEA: An Efficient Method for Entity Alignment in Online Encyclopedias

Knowledge graph is the cornerstone of artificial intelligence. Entity alignment in multi-source online encyclopedias is an important part of data integration to construct the knowledge graph. In order to solve the problem that traditional methods are not effective enough for entity alignment in online encyclopedias tasks, this paper proposes the Chinese Online Encyclopedia Aligner (COEA) based on the combination of entity attributes and context. In this paper, we focus on (1) extracting attribute information and context of entities from the infobox of online encyclopedias and normalizing them, (2) computing the similarity of entity attributes based on Vector Space Model, and (3) further considering the entity similarity based on the topic model over entity context when the similarity of attributes is between the lower bound and the upper bound. Finally, data sets of entity alignment in online encyclopedias are constructed for simulation experiments. The experimental results, which show the method proposed in this paper outperforms traditional entity alignment algorithms, verify that our method can significantly improve the performance of entity alignment in online encyclopedias in the construction of Chinese knowledge graphs.
Behind the Scenes of Academic Library Website Design: Patterns and Trends from 2012 to the Present [slides]

Slides from a presentation given October 17, 2019 at the North Carolina Library Association Biennial Conference in Winston-Salem, NC.
KG3D: An Interactive 3D Visualization Tool for Knowledge Graphs

With the emerge of knowledge graphs in different scales like DBpedia, YAGO, and WikiData, they have become the cornerstone to support many artificial intelligence tasks. However, it is difficult for end-users to query and understand those knowledge graphs consisting of hundreds of millions of nodes and edges. To help end-users better retrieve information from RDF data and explore the knowledge graph without SPARQL or knowing the relation types, we developed an interactive visual query tool, called KG3D, which can realize connection query and pattern matching. Our tool can view the knowledge graph in 3-dimensional space and automatically convert the query to the SPARQL statement. In this paper, we present the superiority of KG3D over other tools, discuss the design motivation, and demonstrate various use cases.