bluuebunny/crossref_metadata_2025 huggingface dataset:
A spherical fuzzy analytic hierarchy process based approach to prioritize career management activities improving employee retention
Authors: Yildiz Didem , Temur Gul T. , Beskese Ahmet , Bozbura F. Tunc
Published: August 2020

In contemporary business life, retention of talented employees is crucial for organizations to preserve created value. Considering their attitudes, behaviors and personality, millenials are different from former generations, and retaining them requires a distinct management approach. This study aims to provide the decision makers with a more effective and efficient tool for evaluating career management activity types leading to employee retention of millenials. A novel method, Spherical Fuzzy Analytic Hierarchy Process (SFAHP) is used in the study to; (i) define the importance levels of the criteria having impact on employee retention, and (ii) assess various career management activity types for employee retention. To ensure the practical use of the model, a numerical example from real world is presented. The results indicate that “leadership and management” is the most important factor, and “development-oriented career management activities” is the highest impact activity type in increasing the employee retention.
Click and sales prediction for OTAs’ digital advertisements: Fuzzy clustering based approach
Authors: Tekin Ahmet Tezcan , Çebi Ferhan
Published: August 2020

Within the most productive route, online travel agencies (OTAs) intend to use advanced digital media ads to expand their piece of the industry as a whole. The metasearch engine platforms are among the most consistently used digital media environments by OTAs. Most OTAs offer day by day deals in metasearch engine platforms that are paying per click for each hotel to get reservations. The administration of offering methodologies is critical along these lines to reduce costs and increase revenue for online travel agencies. In this study, we tried to predict both the number of impressions and the regular Click-Through-Rate (CTR) level of hotel advertising for each hotel and the daily sales amount. A significant commitment of our research is to use an extended dataset generated by integrating the most informative features implemented in various related studies as the rolling average for a different amount of day and shifted values for use in the proposed test stage for CTR, impression and sales prediction. The data is created in this study by one of Turkey’s largest OTA, and we are giving OTA’s a genuine application. The results at each prediction stage show that enriching the training data with the OTA-specific additional features, which are the most insightful and sliding window techniques, improves the prediction models ’ generalization capability, and tree-based boosting algorithms carry out the greatest results on this problem. Clustering the dataset according to its specifications also improves the results of the predictions.
Fuzzy ANP and DEA approaches for analyzing the human development and competitiveness relation
Authors: Kılıç Hakan , Kabak Özgür
Published: August 2020

Human development and competitiveness have a causal relation. However, the literature is not clear on which one affects the other. This study investigates the bilateral relation between human development and competitiveness. For this purpose, initially, Fuzzy Analytic Network Process (FANP) is utilized to develop a composite index based on the relative importance weights of respective human development and competitiveness drivers. By FANP, the effects of key dimensions of human development and indexes of competitiveness on each other are taken into account. Subsequently, countries’ efficiencies on converting their human development to competitiveness and inversely, competitiveness to human development is measured by Data Envelopment Analysis (DEA). Two different DEA models are developed to consider the bilateral relations. 45 countries are evaluated using both FANP and DEA models. Finally, the results are synthesized to reveal the direction of the relationship. It is found that the effect of competitiveness on human development is more significant than the effect of human development on competitiveness.
Forgery document detection in information management system using cognitive techniques
Authors: Sirajudeen Mohamed , Anitha R.
Published: August 2020

Manually verifying the authenticity of the physical documents (personal identity card, certificates, passports, legal documents) increases the administrative overhead and takes a lot of time. Later image processing techniques were used. But most of the image processing based forgery document detection methods are less accurate. To improve the accuracy, this paper proposes an automatic document verification model using Convolutional Neural Networks (CNN). Furthermore, we use Optical Character Recognition (OCR) and Linear Binary Pattern (LBP) to extract the textual information and regional edges from the documents. Later, Oriented fast and Rotated Brief (ORB) is used to extract the images from the scanned documents. To train the CNN, MIDV-500 dataset of 256 Azerbaijani passport images, each with the size of 1040*744 pixels is taken. The proposed CNN model uses sliding window operations layers to evaluate the authenticity. The proposed model analyzes both the textual authenticity and image (seal, stamp and hologram) authenticity of the scanned document. The experimental analysis is carried out on the TensorFlow using python programming language. The results derived from the proposed CNN based forgery detection model is compared with existing models and the results are promising to implement on the real time applications
Inter-class distribution alienation and inter-domain distribution alignment based on manifold embedding for domain adaptation
Authors: Li Ping , Ni Zhiwei , Zhu Xuhui , Song Juan
Published: August 2020

Domain adaptation (DA) aims to train a robust predictor by transferring rich knowledge from a well-labeled source domain to annotate a newly coming target domain; however, the two domains are usually drawn from very different distributions. Most current methods either learn the common features by matching inter-domain feature distributions and training the classifier separately or align inter-domain label distributions to directly obtain an adaptive classifier based on the original features despite feature distortion. Moreover, intra-domain information may be greatly degraded during the DA process; i.e., the source data samples from different classes might grow closer. To this end, this paper proposes a novel DA approach, referred to as inter-class distribution alienation and inter-domain distribution alignment based on manifold embedding (IDAME). Specifically, IDAME commits to adapting the classifier on the Grassmann manifold by using structural risk minimization, where inter-domain feature distributions are aligned to mitigate feature distortion, and the target pseudo labels are exploited using the distances on the Grassmann manifold. During the classifier adaptation process, we simultaneously consider the inter-class distribution alienation, the inter-domain distribution alignment, and the manifold consistency. Extensive experiments validate that IDAME can outperform several comparative state-of-the-art methods on real-world cross-domain image datasets.
Modem design for underwater acoustic networks: Taxonomy, capabilities, challenges, applications and future trends
Authors: Khan Anwar , Ur Rahman Atiq , Zareei Mahdi , Us Sama Najm , Vargas-Rosales Cesar , Qadir Junaid , Mohamed Ehab Mahmoud
Published: August 2020

In underwater acoustic networks (UANs), an acoustic modem is one of the key elements that governs underwater communications. The major demerit of the existing surveys conducted on acoustic modems is that such surveys do not comprise of the novel and state-of-the-art modems. In addition, the described characteristics do not specify the full potential and capabilities of the designed modems. This, in consequence, makes it difficult to identify the parameters for improvement in future investigation. Also, it does not provide the optimal choice of a modem for various underwater applications. To overcome these challenges, this paper considers the latest acoustic modems designed in the last five years. Further, the modems are classified in terms of their suitability for the various applications, which helps the selection of the appropriate modem for a particular application scenario. Furthermore, the specification of every modem is described in a manner so that it is completely analyzed in highlighting its promising performance parameters as well exposing its region of compromised performance. Besides, acoustic modems developed by commercial manufacturers are also described. These strategies help researchers, scientists and engineers to compare to opt for the right modem for the right application. They also provide knowledge of the margin for improvement in the characteristics of these modems. Finally, perspectives are given for future investigation to make these modems more efficient, robust, smart and effective.
Graph-based path planning for intelligent UAVs in area coverage applications
Authors: Akshya J. , Priyadarsini P.L.K.
Published: August 2020

In recent times, Unmanned Air Vehicles (UAVs) are being deployed for several tasks of terrain coverage such as surveillance, photogrammetry, smart irrigation, civil security, and disaster management. In these applications, one of the most vital issues to be addressed is, covering the area under observation with minimum traversal for the UAV. So, the problem addressed in this paper is as follows: For a given geographic area and the given parameters describing the UAV’s coverage capacity, the problem is to find an optimal route that covers the given geographic area. In this paper, an optimal path planning algorithm for the area under observation, given as a closed curve, is proposed. The algorithm partitions the given area of interest into multiple non-uniform rectangles while considering other parameters such as the flying altitude of the UAV and obstacles that could be encountered during its flight. The problem is transformed into Traveling Salesman Problem by constructing a graph from the rectangular partitioning. Effective approximate solutions are provided to this problem, using the Minimum Spanning Tree (MST) approximation algorithm and Ant Colony Optimization (ACO). The experimental results show that ACO outperforms the MST based algorithm as it does not get stuck in local minima.
Intelligent human-centred mobile authentication system based on palmprints
Authors: Giełczyk Agata , Choraś Michał
Published: August 2020

Biometrics, as an intelligent and secure authentication method, has recently become increasingly popular. Modern society uses fingerprints, iris and face recognition on a daily basis, even on a large scale; for example, in biometric passports. However, there are still other biometric traits that may provide sufficiently high accuracy but have not been widely implemented so far, e.g. palmprints. In this article, we propose a novel human-centred method of palmprint-based user verification. The proposed method is dedicated to the mobile devices and provides the accuracy reaching 94.5%. Moreover, the method is time-computing efficient and gives the response in less than 0.2 s. All the experiments described in the article were performed using the benchmark PolyU database and three widely available mobile phones.
A secured signcryption scheme for e-payment system using hyper elliptic curve
Authors: Devarajan Malathi , Sasikaladevi N.
Published: August 2020

With the growing trend of Communication Technologies (ICT), buying goods through online has been increased drastically. Besides, e-payment makes online purchase easier and made our daily life more convenient. However, there exists a user privacy and data security issue in conventional e-payment systems. Thus, a hyper elliptic curve based signcryption scheme is proposed to achieve reduced computational cost. Because, most of the payment is processed on resource constraint devices like smart phone, hence an energy efficient e-payment system is in requisite. In order to ensure user authenticity, an aadhaar number (unique identity) is used to generate signcryption key. The proposed signcryption scheme can be implemented in real-time applications like e-payment system to ensure confidentiality, privacy, authenticity and integrity. The security of the system is validated through a simulation tool – AVISPA (Automated Validation of Internet Security Protocols and Applications). Further, the resistivity against various cryptographic attacks was analyzed informally and also the computational cost is estimated and compared with other related schemes.
A novel ensemble pruning approach based on information exchange glowworm swarm optimization and complementarity measure
Authors: Ni Zhiwei , Xia Pingfan , Zhu Xuhui , Ding Yufei , Ni Liping
Published: August 2020

Ensemble pruning has been widely used for enhancing classification ability employing a smaller number of classifiers. Ensemble pruning extracts a part of classifiers with good overall performance to form the final ensemble. Diversity and accuracy of classifiers are of vital importance for a successful ensemble. It is hard for the members in one ensemble to achieve both good diversity and high accuracy, simultaneously, because there is a tradeoff between them. Existing works usually search for the tradeoff in terms of diversity measures, or find it utilizing heuristic algorithms, which cannot gain the exact solution without exhaustive search. To address the above issue, a novel ensemble pruning method based on information exchange glowworm swarm optimization and complementarity measure, abbreviated EPIECM, is proposed using the combination of information exchange glowworm swarm optimization (IEGSO) and complementarity measure (COM). Firstly, multiple generated classifiers are utilized to construct a pool of learners who perform diversely. Secondly, COM is employed to pre-prune the classifiers with poor comprehensive performance, and the pre-pruned ensemble is formed utilizing the retaining classifiers. Finally, the optimal subset of classifiers is combined from the remaining constituents after pre-pruning with IEGSO. Empirical results on 27 UCI datasets indicate that EPIECM significantly outperforms other techniques.
Uncovering hidden community structures in evolving networks based on neighborhood similarity
Authors: Nath Keshab , Dhanalakshmi R , Vijayakumar V. , Aremu Bashiru , Hemant Kumar Reddy K. , Xiao-Zhi Gao
Published: August 2020

Detection of densely interconnected nodes also called modules or communities in static or dynamic networks has become a key approach to comprehend the topology, functions and organizations of the networks. Over the years, numerous methods have been proposed to detect the accurate community structure in the networks. State-of-the-art approaches only focus on finding non-overlapping and overlapping communities in a network. However, many networks are known to possess a hidden or embedded structure, where communities are recursively grouped into a hierarchical structure. Here, we reinvent such sub-communities within a community, which can be redefined based on nodes similarity. We term those derived communities as hidden or hierarchical communities. In this work, we present a method called Hidden Community based on Neighborhood Similarity Computation (HCNC) to uncover undetected groups of communities that embedded within a community. HCNC can detect hidden communities irrespective of density variation within the community. We define a new similarity measure based on the degree of a node and it’s adjacent nodes degree. We evaluate the efficiency of HCNC by comparing it with several well-known community detectors through various real-world and synthetic networks. Results show that HCNC has better performance in comparison to the candidate community detectors concerning various statistical measures. The most intriguing findings of HCNC is that it became the first research work to report the presence of hidden communities in Les Miserables, Karate and Polbooks networks.
Application of fuzzy logic in the relationship between information and communication technologies and economic performance
Authors: Acosta-Prado Julio C. , Lazo Juan G. , Tafur-Mendoza Arnold A.
Published: August 2020

Information about customers, products, and suppliers has become an essential resource for firms. Information and communication technologies (ICTs) contribute in different ways to the operation of firms, in terms of access to information, improvements to the business model, adequate knowledge management, and reduction of risks and costs, all of which can affect economic performance. The present study focuses on new technology-based firms (NTBFs), using a Mamdani fuzzy inference system with five inputs and five outputs, to assess the impact that ICTs have on economic performance, applying the reasoning of fuzzy logic. For the construction of the fuzzy inference system, a database of NTBFs founder-promoters was used. Information about ICTs (use of internet technologies, collaboration technologies, management technologies, support for decision-making and, search and data management) and measures of economic performance (sales, net profit, profitability, productivity and improvement of production costs) were extracted from the database for use in developing the model, which begins with definitions of the relationships between the input and output variables. The analyses performed indicated a slight change in economic performance through the interaction between ICTs measures. These findings will help firms make better decisions regarding the implementation of ICT infrastructure, allowing them to improve their economic performance.
Forgotten effects analysis of the consumer behavior of sustainable food products in Mexico
Authors: García-Orozco Dalia , Alfaro-García Víctor G. , Espitia-Moreno Irma C. , Gil-Lafuente Anna M.
Published: August 2020

The world’s population has increased exponentially in recent decades, and the rising demand for resources presents crucial challenges that need to be addressed to ensure humanity’s current pace of development without compromising the means of future generations. The purpose of the present study is to quantify the first- and second-order cause-effect degree of incidence that drives consumer behavior when selecting a sustainable product based on the opinions of academic experts in the field. The forgotten effects theory is employed for the treatment of information. The main advantage of this methodology is the combination of expert opinions with a robust mathematical procedure that allows obtaining not only the direct but also the indirect or hidden degree of incidence. The selected experts are academic leaders in the field of sustainability in Mexico. The results show a high direct incidence of variables such as education, income and culture and a strong indirect incidence of sustainable knowledge, environmental awareness and recommendations. The present study attempts to shed light on quantifying the direct and indirect elements that encourage consumers’ choice of sustainable food products and to understand the in-depth reasons for the discrepancy between the will and actions of consumers.
Influence of different fuzzy operators on analytical structure and variable gains of typical interval type-2 fuzzy PI controller
Authors: Zhou Haibo , Zhang Chaolong , Tan Shuaixia , Dai Yu , Duan Ji’an , Abdul Ibrahim Ahmed
Published: August 2020

The fuzzy operator is one of the most important elements affecting the control performance of interval type-2 (IT2) fuzzy proportional-integral (PI) controllers. At present, the most popular fuzzy operators are product fuzzy operator and min() operator. However, the influence of these two different types of fuzzy operators on the IT2 fuzzy PI controllers is not clear. In this research, by studying the derived analytical structure of an IT2 fuzzy PI controller using typical configurations, it is proved mathematically that the variable gains, i.e., proportional and integral gains of typical IT2 fuzzy PI controllers using the min() operator are smaller than those using the product operator. Moreover, the study highlights that unlike the controllers based on the product operator, the controllers based on the min() operator have a simple analytical structure but provide more control laws. Real-time control experiments on a linear motor validate the theoretical results.
An approximation algorithm for solving standard quadratic optimization problems
Authors: Gao Lunshan
Published: August 2020

Standard quadratic optimization problems (StQPs) are NP-hard in computational complexity theory when the matrix is indefinite. This paper describes an approximate algorithm of finding inner optimal values of StQPs. The approximate algorithm fuzzifies variable x ∈ Rn with normalized possibility distributions and simplifies the solving of StQPs. The approximation ratio is discussed and determined. Numerical results show that (1) the new algorithm achieves higher accuracy than the semidefinite programming method and linear programming approximation method; (2) the novel algorithm consumes less than one out of fourth computational time that is consumed by linear programming approximation method; (3) the computational time of the new algorithm does not correlate with the matrix densities whereas the computational times of the branch-and-bound and heuristic algorithms do.
Efficient resource prediction model for small and medium scale cloud data centers
Authors: Deepika T. , Prakash P. , Dhanya N.M.
Published: August 2020

By leveraging the performance of small and medium-scale data centers (SMSDCs), which are involved in high-performance computing, data centers are central to the current modern industrial business world. Extensive enhancements in the SMSDC infrastructure comprise a diverse set of connected devices that disseminate resources to the end users. The high certainty workloads of end users and over resource provisioning result in high power consumption in SMSDCs, which are pivotal factors contributing to high carbon footprints from SMSDCs. The excessive emission of CO2 is higher in SMSDCs compared with that of hyperscale data centers (HSDCs). An exorbitant amount of electricity is utilized by 8.6 million data centers worldwide, and is expected to increase by up to 13% in 2030. The power requirement of an SMSDC domain is expected to be 5% of the global power production. However, the power consumption of SMSDCs changes annually. To aid SMSDCs, machine learning prediction is deployed. Literature review indicates that many studies have focused on the recurring issues of HSDCs rather than those of SMSDC. Herein, a regressive predictive analysis, i.e., multi-output random forest regressor, is proposed to forecast the resource usage and power utilization of virtual machines. These prediction results in diminishes the power utilization of SMSDC whilst reduces the CO2 emission from SMSDC. The obtained result shows that the proposed approach yields better predictions than other single-output prediction methods for future resource demand from end users.
Novel Outreach Program and Practical Strategies for Patients with Parkinsonism in the COVID-19 Pandemic1
Authors: Sennott Brianna , Woo Katheryn , Hess Serena , Mitchem Daniela , Klostermann Ellen C. , Myrick Erica , Anderson Sharlet , Savica Rodolfo , Fleisher Jori E.
Published: August 2020

The coronavirus disease 2019 (COVID-19) pandemic has upended daily life and neurologic care for most patients, including those with Parkinson’s disease and parkinsonism. Disruptions to routine care, high volumes of patient and caregiver calls, and our patients’ risk of infection and complications inspired a proactive COVID-19 outreach program. This program targets patients with advanced Parkinson’s disease and related disorders, specifically those who are homebound, receiving or eligible for palliative care, and/or lacking support networks. We describe the program and practical strategies providers can implement to support wellbeing and successful telehealth uptake during this time of social isolation and gradual reopening.
Trends in Initial Systemic Therapy for Elderly Patients with Metastatic Clear Cell Renal Cell Carcinoma
Authors: Osterman Chelsea K. , Deal Allison M. , Milowsky Matthew I. , Bjurlin Marc A. , Rose Tracy L.
Published: August 2020

BACKGROUND:

The treatment landscape for metastatic clear cell renal cell carcinoma (mRCC) is rapidly changing. It is unknown how adoption of new types of therapies may differ by patient age.

OBJECTIVE:

To compare trends in first-line therapy use for older (≥70 years) and younger (< 70) patients with mRCC before and after approval of nivolumab in 2015.

METHODS:

Using the National Cancer Database, we assessed trends in first-line therapy use by calculating the proportion of patients receiving targeted therapy, immunotherapy, or no systemic therapy by year of diagnosis. Initial systemic treatment was compared for patients diagnosed in 2016 with patients diagnosed in 2011 as a control group prior to nivolumab approval. Multivariable regression analysis was used to evaluate the interaction between year of diagnosis and elderly status for use of first-line immunotherapy or targeted therapy.

RESULTS:

From 2006 to 2016, the proportion of patients receiving any type of systemic therapy increased from 43.7% to 56.5%. On stratified multivariable regression analysis, older patients diagnosed in 2016 were 17.3 times more likely to receive first-line immunotherapy compared to those diagnosed in 2011, while younger patients were 2.3 times more likely. There was no change in targeted therapy use over this time regardless of patient age.

CONCLUSIONS:

The rate of adoption of first-line immunotherapy was particularly pronounced for elderly compared to younger patients. While first-line use of immunotherapy may have allowed elderly patients to receive systemic therapy that they otherwise would not, the efficacy of these drugs in elderly patients deserves further study.
Diet quality indices and risk of metabolic syndrome among postmenopausal women of Mexican ethnic descent in the Women’s Health Initiative Observational Study
Authors: Santiago-Torres Margarita , Shi Zaixing , Tinker Lesley F. , Lampe Johanna W. , Allison Matthew A. , Barrington Wendy , Crane Tracy E. , Garcia David O. , Hayden Kathleen M. , Isasi Carmen R. , Valdiviezo-Schlomp Carolina I. , Martin Lisa W. , Neuhouser Marian L.
Published: August 2020

BACKGROUND:

The prevalence of metabolic syndrome is higher among minority populations, including individuals of Mexican ethnic descent. Whether alignment to healthy dietary patterns is associated with lower risk of metabolic syndrome in this population is largely unknown.

OBJECTIVE:

To prospectively evaluate the associations between a priori diet quality scores and risk of metabolic syndrome and its components among postmenopausal women of Mexican ethnic descent.

METHODS:

A total of 334 women of Mexican ethnic descent who participated in the Women’s Health Initiative (WHI) observational study without metabolic syndrome or diabetes at baseline (1993–1998) were included. Baseline diets were scored with the Alternate Mediterranean Diet (aMED), the Dietary Approaches to Stop Hypertension (DASH), the Healthy Eating Index (HEI-2010), the Mediterranean Diet Score (MDS), and the traditional Mexican Diet (MexD) score. Multivariable linear and logistic regression models were used to test the associations between baseline diet quality and risk of metabolic syndrome and its individual components at follow-up (2012-2013).

RESULTS:

Approximately 16% of women met the criteria for metabolic syndrome at follow-up. None of the diet quality indices were associated with risk of metabolic syndrome. However, higher vs lower DASH scores were associated with lower waist circumference (85.2 vs 88.0 cm) and glucose concentrations (90.0 vs 95.1 mg/dL), and higher HDL cholesterol (62.6 vs 59.0 mg/dL), while higher vs lower HEI-2010 scores were associated with lower waist circumference (83.9 vs 88.1 cm), triglycerides (103 vs 117 mg/dL) and glucose concentrations (89.5 vs 94.4 mg/dL), and higher HDL cholesterol levels (63.9 vs 58.5 mg/dL).

CONCLUSIONS:

Diet quality was not associated with risk of metabolic syndrome in this population. However, the results suggest that alignment to DASH and HEI-2010 recommendations may be beneficial for reducing some individual components of metabolic syndrome among postmenopausal women of Mexican descent.
RETRACTED: Effect of platelet count on long-term prognosis of cerebral infarction
Authors: Ye Fei , Bao Guan-Shui , Xu Heng-Shi , Deng Pan-Pan
Published: August 2020

This article has been retracted, and the online PDF has been watermarked “RETRACTED”. A retraction notice is available at DOI: 10.3233/RNN-239001 .
Labour accounts in Iran, Australia and Denmark
Authors: Mehran Farhad , Rezaei Ghahroodi Zahra
Published: August 2020

Labour accounts provide an orderly manner to compare, reconcile and built-on data from different sources. The procedures may in principle be applied to topics other than labour. As part of a research project at the Statistical Research and Training Center of Iran, an attempt was made for the first time to develop labour accounts for Iran for the reference year 1390 (March 2011–February 2012). The procedure is described in the first part of the paper. In the second part, comparative tables for Australia, Denmark and Iran are constructed on each of the three main elements (employment, hours of work and employment-related income). In the process of comparing the data, the differences in the underlying methodologies are reviewed and an assessment is made on the way forward. To date, very few countries have attempted to construct labour accounts. The three countries discussed in this paper represent a diverse set of statistical systems, but have in common, particularly, Iran and Australia, the same concepts and definitions in line with the ILO international standards.
Agricultural census 2020 – how to reduce costs and burden? The European Statistical System approach
Authors: Selenius Johan , Wirtz Christine , Florescu Denisa , Lazar Andreas C.
Published: August 2020

Information on the structure of agriculture is necessary to understand the risks for, among others, food security and the environment. The FAO advises all countries to carry out an agricultural census every 10 years to get a full picture. The European Union (EU) collects data on farm structure for the common agricultural policy (CAP) and other policies, but at more frequent intervals. This paper presents the technical and methodological aspects of the newly modified system for the European agricultural censuses. Under the new set-up, EU countries can reduce the burden on respondents while increasing the availability of statistics for the census 2020. A set of 184 core variables is collected as a census for all farms above common physical thresholds in all countries with the target of covering 98% of each country’s agriculture. For sub-samples of farms, the core variables will be supplemented with variables grouped in three modules. The system allows countries to use multiple sources and methods to obtain data subject to meeting pre-defined quality requirements. The efforts of the European Statistical System (ESS) to allow countries who do not meet the census’s 98% coverage requirements to conduct a sample data collection on the smallest farms and further ways of reducing costs and burden are discussed.
VOR gain calculation methods in video head impulse recordings
Authors: Zamaro Ewa , Saber Tehrani Ali S. , Kattah Jorge C. , Eibenberger Karin , Guede Cynthia I. , Armando Lenz , Caversaccio Marco D. , Newman-Toker David E. , Mantokoudis Georgios
Published: August 2020

BACKGROUND: International consensus on best practices for calculating and reporting vestibular function is lacking. Quantitative vestibulo-ocular reflex (VOR) gain using a video head impulse test (HIT) device can be calculated by various methods. OBJECTIVE: To compare different gain calculation methods and to analyze interactions between artifacts and calculation methods. METHODS: We analyzed 1300 horizontal HIT traces from 26 patients with acute vestibular syndrome and calculated the ratio between eye and head velocity at specific time points (40 ms, 60 ms) after HIT onset (‘velocity gain’), ratio of velocity slopes (‘regression gain’), and ratio of area under the curves after de-saccading (‘position gain’). RESULTS: There was no mean difference between gain at 60 ms and position gain, both showing a significant correlation (r2 = 0.77, p < 0.001) for artifact-free recordings. All artifacts reduced high, normal-range gains modestly (range –0.06 to –0.11). The impact on abnormal, low gains was variable (depending on the artifact type) compared to artifact-free recordings. CONCLUSIONS: There is no clear superiority of a single gain calculation method for video HIT testing. Artifacts cause small but significant reductions of measured VOR gains in HITs with higher, normal-range gains, regardless of calculation method. Artifacts in abnormal HITs with low gain increased measurement noise. A larger number of HITs should be performed to confirm abnormal results, regardless of calculation method.
Infinite products and zero-one laws in categorical probability
Authors: Fritz Tobias , Rischel Eigil Fjeldgren
Published: August 2020

Markov categories are a recent category-theoretic approach to the foundations of probability and statistics. Here we develop this approach further by treating infinite products and the Kolmogorov extension theorem. This is relevant for all aspects of probability theory in which infinitely many random variables appear at a time. These infinite tensor products ⨂i∈JXi come in two versions: a weaker but more general one for families of objects (Xi)i∈J in semicartesian symmetric monoidal categories, and a stronger but more specific one for families of objects in Markov categories.As a first application, we state and prove versions of the zero--one laws of Kolmogorov and Hewitt--Savage for Markov categories. This gives general versions of these results which can be instantiated not only in measure-theoretic probability, where they specialize to the standard ones in the setting of standard Borel spaces, but also in other contexts.
Del extravío de accountability social en Usaquén, Chapinero y Usme, en Bogotá (Colombia)
Authors: Marín Erli Margarita , Jiménez Magda Catalina
Published: August 2020

Hallar el accountability social en lo micro local fue la pregunta central de una investigación empírica y novedosa que buscó respuestas en tres localidades que conforman la megaciudad de Bogotá. Con el diseño e implementación de diversas herramientas metodológicas, se buscó resultados empíricos sobre los detonantes o formas de activación de alarmas en las localidades de Usaquén, Chapinero y Usme, en el que a través de un estudio de caso múltiple, se exploró la mediatización en prensa de los problemas, así como modalidades de participaciones políticas no relacionadas con el comportamiento electoral, pero que son fundamentales para el performance democrático y el fortalecimiento de la participación de las organizaciones de la sociedad civil en relación con los entes gubernamentales locales.
EVALUATION OF PHYSICAL PROPERTIES OF DENTURE BASE RESIN IN TWO DIFFERENT MEDIA BY USING THERMAL GRAVIMETRIC ANALYSIS AND DIFFERENTIAL THERMAL ANALYSIS.
Authors: Mohammed Ibrahim Mathar
Published: August 2020

Aim: The aim was to evaluate the physical properties of denture base resin in two different media such as artificial saliva and chlorinated water by using thermal gravimetric analysis (TGA) & differential thermal analysis (DTA).

Materials and Methods: 40 samples divided into 2 groups of 20 samples each. One group was stored in artificial saliva the other group was stored in chlorinated water of 3ppm concentration. Total number of 40 acrylic blocks was grouped as Group I & II. Scrapings were taken from the blocks of both the Group I & II. Samples of artificial saliva and chlorinated water were subjected to thermal behavior by TGA and DTA.

Results: TGA Thermograph of Group I shows broad endothermic peak at 282.90C to 357.70C and exothermic peak at 535.40C to 602.20C. TGA Thermograph of Group II shows broad endothermic peak at 336.20C to 362.20C and exothermic peak at 535.60C to 643.90C. The phase change corresponding to the weight change is shown in DTA thermograph. The thermograph of TGA/DTA shows changes in thermal behavior in both the medium.

Conclusion: Changes in the physical properties of denture base resin such as transition temperature and phase changes were evaluated by thermal analysis. Chlorine being highly reactive will react with the double bonds of polymethylmethacrylate (PMMA). Blocking of double bond can affect the physical properties of denture base resin.

Keywords: Polymethylmethacrylate, Differential thermal analysis, Thermal analysis, Denture base resin.
Penyuluhan Pengembangan Manajemen Sumber Daya Manusia Karang Taruna Cidokom Gunung Sindur Bogor Jawa Barat
Authors: Ahadin Udin , Yanuarianto Yanuarianto , Triyadi Triyadi , Permatasari Retno Japanis , Turo Theobaldus Boro
Published: August 2020

ABSTRACT The purpose of this community service activity is to fulfill the obligations of lecturers to carry out tridharma of higher education. For that reason, it has become an obligation for lecturers to share their knowledge and insights through counseling the development of human resource management so that they will always strive to achieve organizational goals effectively and efficiently. And also aims at Cidokom Youth Organization can perform its functions and roles optimally so that it brings benefits to Cidokom Village, Gunung Sindur District, Bogor. The development is also intended to improve the quality of human resources in carrying out their duties so that it is more positive in contributing energy and thoughts to advance Cidokom Village, Gunung Sindur Sub-District, Bogor Regency, West Java. Dedication method with counseling, discussion and question and answer as well as personal evaluation.After the counseling activities on human resource management are carried out, youth or youth can implement the Karang Taruna activities so that the purpose of the Karang Taruna Youth Organization to help and advance the local community can be realized. Keywords: Human Resource Management ABSTRAKTujuan dari kegiatan pengabdian kepada masyarakat ini adalah untuk memenuhi kewajiban dosen untuk melakukan tridharma perguruan tinggi. Untuk itu sudah menjadi kewajiban bagi dosen  berbagi pengetahuan dan wawasan melalui penyuluhan pengembangan manajemen sumber daya manusia agar senantiasa berupaya mencapai tujuan organisasi dengan efektif dan efisien. Dan juga bertujuan Karang Taruna Cidokom dapat menjalankan fungsi dan perannya secara optimal sehingga mendatangkan manfaat bagi Desa Cidokom Kecamatan Gunung Sindur Bogor. Pengembangan juga dimaksudkan untuk meningkatkan kualitas sumber daya manusia dalam melaksanakan tugasnya sehingga lebih positif dalam berkontribusi tenaga dan pikiran untuk memajukan Desa Cidokom Kecamat Gunung Sindur Kabupaten Bogor Jawa Barat. Metode pengabdian dengan penyuluhan, diskusi dan tanya jawab serta evaluasi secara personal. Setelah kegiatan penyuluhan mengenai manajemen sumber daya manusia dilaksanakan, para remaja atau pemuda dapat mengimplementasikan pada kegiatan Karang Taruna sehingga tujuan dari Karang Taruna Cidokom untuk membantu dan memajukan masyarakat setempat dapat diwujudkan.Kata Kunci: Manajemen Sumber Daya Manusia
Pelatihan Penggunaan Mendeley dan Pemaparan Pembuatan Artikel Bagi Guru di Kabupaten Indramayu
Authors: Ismunandar Denni , Gunadi Farid
Published: August 2020

Guru adalah salah satu elemen penting dalam dunia pendidikan. Kompetensi guru selalu dinomor satukan untuk mendukung perkembangan kognitif siswa. Metode pembelajaran yang variatif, strategi pembelajaran, dan bermacam cara penilaian dilakukan supaya kemampuan kognitif, psikomotorik dan afektif siswa dapat berkembang. Guru yang berkompeten tidak hanya berdasarkan lama mengajar, namun sekarang ini guru yang berkompeten adalah guru yang melaksanakan Penelitian Tindakan Kelas (PTK) untuk memperbaiki kemampuan siswa dan melaporkan hasil penelitian tersebut melalui laporan secara langsung dan menggunakan artikel yang diterbitkan di jurnal berskala nasional. Pada program pengabdian ini, tim melakukan pelatihan penggunaan Mendeley dan pemaparan pembuatan artikel untuk membantu guru dalam menyusun artikel yang akan diterbitkan ke suatu jurnal. Tujuan dari pengabdian ini adalah membantu guru mengubah PTK menjadi suatu artikel yang layak diterbitkan. Metode yang dilaksanakan menggunakan metode ceramah. Hasil pengabdian ini adalah laporan pelaksanaan tim pengabdian dalam memberikan pelatihan menggunakan mendeley dan pemaparan pembuatan artikel. Keterbatasan pelaksanaan pengabdian ini adalah waktu yang diberikan kepada tim hanya 1 jam, karena guru hanya bersedia datang setelah pulang dari sekolah. Oleh karena itu hasil pengabdian ini hanya berupa laporan pelaksanaan pengabdian masyarakat yang telah dilakukan oleh tim.
Workshop Financial Literacy untuk Siswa SMA 6 Tangerang Selatan
Authors: Suyanto Herlisianne , Mardiati Dijan , Winarsa R Hendra , Astusti Widia , Octovian Reza
Published: August 2020

Kebutuhan manusia dalam ilmu ekonomi bisa dikatakan tidak terbatas adanya. Semua keinginan ingin sekali terealisasi dengan mudah. Kondisi ini tentusaja tidak akan bisa terwujud tanpa adanya pengaturan keuangan yang baik. Alasannya,dengan mengatur keuangan seseorang bisa memperioritaskan antara kebutuhan primer, skunder, dan tersier. Oleh sebab itulah pada PKM ini akan diberikan penyuluhan mengatur keuangan bagi anak, khususnya anak dalam usia sekolah (pelajar). Metode pelaksanaan dengan metode penyuluhan dan seminar. Pengelolaan keuangan sederhana di SMK mendapatkan hasil yang sangat baik. Siswa lebih peka terhadap diri dan ke mulai dapat mengambil sikap untuk menentukan apasaja yang harus diraih dan ditempuh untuk mewujudkan rencana keuangannya tersebut, meski belum terkondidikan dengan baik, mereka mampu memberikan pemaparan akan perncanaan keuangannya di masa yang akan datang.Kata Kunci :Keuangan, LiterasiABSTRACTHuman needs in economics can be said to be unlimited. All wishes long to be realized easily. This condition certainly would not have been possible without good financial arrangements. The reason, by regulating one's finances can prioritize primary, secondary and tertiary needs. That is why the PKM will be given counseling to arrange financial management for children, especially children of school age (students). The method of implementation is using counseling and seminar methods. Simple financial management in SMKs gets very good results. Students are more sensitive to themselves and begin to take the attitude to determine what must be achieved and taken to realize the financial plan, although not well educated, they are able to give an explanation of their financial planning in the future. Keywords: Finance, Literacy
Penyuluhan Pengelolaan Keuangan Sederhana Siswa SMA 6 Tangerang Selatan
Authors: Sutrisno Sutrisno , Abidin Ali Zaenal , Winata Hadi , Harjianto Puji , Sunarsi Denok
Published: August 2020

Pengelolaan Keuangan Sederhana sebagai bentuk kepedulian dan pengabdian kepada masyarakat kepada Siswa SMA 6 Tangerang Selatan sangat tepat untuk dilaksanakan. Kebutuhan manusia dalam ilmu ekonomi bisa dikatakan tidak terbatas adanya. Semua keinginan ingin sekali terealisasi dengan mudah. Kondisi ini tentusaja tidak akan bisa terwujud tanpa adanya pengaturan keuangan yang baik. Dalam kegiatan ini metode yang diterapkan diharapkan dapat memberikan kemudahan kepada para mahasiswa SMA 6 Tangerang Selatan. Metode yang digunakan adalah metode diskusi kelompok, sharing, tanyajawab, praktik yang di damping oleh pemateri. Pada metode penjelasan, setiap instruktur menyampaikan materi terkait dan membuat tampilan visual berupa slide power point yang ditampilkan ke layar dengan LCD proyektor. Hasil kegiatan adalah mereka dapat melakukannya sendiri di rumah. Siswa dapat mendapatkan ilmu pengetahuan baru, sehingga bisa dimaksimalkan potensi diri dengan cermat dan hemat.Kata Kunci :Keuangan SederhanaABSTRACTSimple Financial Management as a form of concern and community service to South Tangerang 6 High School Students is very appropriate to be implemented. Human needs in economics can be said to be unlimited. All wishes long to be realized easily. This condition certainly would not have been possible without good financial arrangements. In this activity the method applied is expected to provide convenience to students of South Tangerang 6 High Schools. The method used is the method of group discussion, sharing, question and answer, practice accompanied by the speaker. In the explanation method, each instructor conveys related material and makes a visual display in the form of a power point slide that is displayed on the screen with the projector's LCD. The result of the activity is that they can do it themselves at home. Students can get new knowledge, so they can maximize their potential with care and efficiency.Keywords: Simple Finance
Pengembangan Sistem Pengelolaan Sampah Kawasan Wisata Pantai Kota Pariaman dengan Pendekatan Reduce-Reuse-Recycle
Authors: Aziz Rizki , Dewilda Yommi , Khair Hafizhul , Faklin Mikel
Published: August 2020

The development of a reduce-reuse-recycle (3R) based solid waste management system was studied in the Pariaman City Beach Tourism Area which consists of Gandoriah Beach, Cermin Beach, Kata Beach, Angso Duo Island and Tangah Island. Solid waste managed is 2,646.813 m3/day. Development based on Permen PU No. 3 of 2013, with a scale of area management that serves 100% of the waste generated. The planned waste management system includes: sorting and storage, collection, processing at the Solid Waste Processing Site by Reduce Reuse Recycle approach (TPS3R) and transport to the landfill site. The needs of infrastructure and facility for solid waste management includes 100 liter of communal storage with three categories (compostable waste, recyclable waste and others) as many as 21 sets and 20 sets of communal storages as much as 4 sets. Waste collection uses indirect communal patterns with a 1.5 m3 motorized pedicab and one rattan basket 0.5 m3, processing at TPS 3R in by composting, grinding of coconut shell, making plastic handicrafts and selling recyclable plastic, paper and glass waste to third parties, transferring using a 6 m3 container followed by transportation from TPS 3R to Tungkal Selatan Landfill using arm roll truck.
Estimasi Potensi Produksi Ikan Di Danau Laut Tawar Berdasarkan Morphoedaphic Index
Authors: Adhar Saiful , Barus Ternala Alexander , Nababan Esther Sorta Mauli , Wahyuningsih Hesti , Erlangga Erlangga , Khalil Munawwar
Published: August 2020

Laut Tawar Lake is located in Aceh Tengah District is the largest lake in Aceh Province. The lake, located at an altitude of 1230 meters above sea level, produces about 13 species of freshwater fish. Fish depik (Rasbora tawarensis), eyas (Rasbora sp.), and relo (Rasbora sp.) are endemic species of Laut Tawar Lake. This study aims to estimate the potential of fish production based on the value of morphoedaphic index. The observation was conducted for one year, from October 2016 until September 2017. The measurement of electric conductivity value of lake waters was conducted on 7 (seven) stations selected purposively in the lake area about 5870 hectares. The results showed that morphoedaphic index value of Laut Tawar Lake ranged from 5.10 to 7.84 with an average of 6.14. Potential of fish production in the lake is 33.47 kg/ha/yr with total potential of fish production of 196.49 ton/yr. The value shows a decrease of 10.93 kg/ha/yr over a period of 22 years. This decrease is caused by changes in morphometry parameters and water quality of Laut Tawar Lake.