Miracle-dz/UniFAR-FTUs huggingface dataset:
Family, Social, and Health Workers Support with Complience Behaviour to Patients with Hypertension in Bogor, Indonesia

Background: Abnormalities of the heart and blood vessels marked by an increase in blood pressure are known as hypertension. Worldwide, high blood pressure is estimated to affect more than one in three adults aged 25 years and over, or about one billion people. Overall, high-income countries have a lower prevalence of hypertension (35% of adults) than low and middle-income groups (40% of adults). The prevalence of hypertension in Indonesia based on the Basic Health Research (Riskesdas) data in 2018 was 34.1%. Objective: This study determines the relationship of family support, social support, and health worker support with compliance of hypertensive patients. Methods: This research was conducted at the Tegal Gundil Community Health Center, North Bogor District, Bogor City, Indonesia, which was conducted from May to December 2017. The design of this study was cross-sectional. Sampling was carried out with a purposive sampling method with inclusion and exclusion criteria. The former consisted of all hypertensive patients aged 25-65 years who routinely control during the last six months who are present and willing to be interviewed during the study. The later includes hypertensive patients who have memory disorders with the number of samples of 110 respondents. Results: The results showed the respondents were dominated by the age of under 59 (75.5%), female (86.4%), junior high school as the highest education (68.2%), have no job (81.8%), and the prevalence of their sufferers’ compliance was 47.3%. The results of the Chi-square test showed that family support, social environment, and health workers were associated with compliance in hypertensive patients (OR = 2.461; CI 95% 1.140 to 5.310; P Value = 0.034). Conclusion: In order to improve compliance of patients with hypertension, it is necessary to pursue a program of activities focused on health promotion activities not only for patients but also involving family and social members.
Anger and Aggression among Maltreated Youth: Mediating Pathways

ABSTRACT Youth in foster care have high rates of anger and aggression. Youth who demonstrate aggressive behaviors have an increased likelihood of negative outcomes including unfavorable, early terminations from foster care placements, and higher risk for psychopathology and incarceration. The current study examined the association between anger and aggression for adolescents in foster care and tested the extent to which thought problems and internalizing symptoms mediated that link. The sample included adolescents in foster care (mean age of 14 years; N = 303), with diverse sociodemographic characteristics, and an almost equal percentage of males and females. Consistent with research findings specific to youth in the general population, the results of this study supported the direct link between anger and aggression among adolescents in foster care. This finding extends extant research by demonstrating that thought problems and internalizing symptoms mediate the relationship between anger and aggression for such adolescents.
Live Demonstration: Neuromorphic Sensory Integration for Combining Sound Source Localization and Collision Avoidance

The brain is able to solve complex tasks in real time by combining different sensory cues with previously acquired knowledge. Inspired by the brain, we designed a neuromorphic demonstrator which combines auditory and visual input to find an obstacle free direction closest to the sound source. The system consists of two event-based sensors (the eDVS for vision and the NAS for audition) mounted onto a pan-tilt unit and a spiking neural network implemented on the SpiNNaker platform. By combining the different sensory information, the demonstrator is able to point at a sound source direction while avoiding obstacles in real time.
Continuous riverine biodiversity changes in a 10‐years‐post‐restoration‐study—Impacts and pitfalls

Evaluating river restoration effects over several years is the exception rather than the rule. The benthic invertebrate fauna of three small mountain streams was investigated yearly from 2010 to 2019 following remeandering measures. Additionally, upstream near‐natural reaches were studied following a Before‐After‐Control‐Impact (BACI) design. Species richness and Ephemeroptera, Plecoptera and Trichoptera richness decreased strongly immediately after restoration but had positive effect sizes in the following 6 years. Abundances increased in all sites after restoration. These patterns were consistent also in the upstream near‐natural reaches, except for the decrease in richness in the second year, indicating that other factors beside the restoration affected the sites. A large flood event coincided with the implementation of the restoration measures depleting also the near‐natural sites. The similarity between paired reaches showed a sharp decline in the first year after restoration, followed by a direct increase, which indicates fast recolonization from the upstream reaches. Community composition analysis showed a shift of all communities with the time axis, underlining a substantial effect of external factors. Generalized linear mixed effects models exhibited that the percentage of tree cover and riparian vegetation had significant effects on changes in richness and abundance. Clear‐cut logging in the floodplains to restore natural floodplain forest supposedly increased water temperatures because many cold‐adapted upstream species were replaced by species naturally inhabiting more downstream reaches. The results emphasize that multiannual samples and a BACI design are necessary to understand restored systems. Furthermore, floodplain restoration and natural hydrology often shape benthic invertebrate communities more than pure instream restoration measures.
Analisis Pengaruh Pertumbuhan Ekonomi Terhadap Tingkat Kemiskinan Di Provinsi Sumatera Utara (2010-2019)

ABSTRACT Purpose of this observation to find out effect of economic growth on poverty levels in the period 2010-2019. The variable used is the percentage of poverty level as the dependent variable and the Gross Regional Domestic Product (GRDP) and the Open Unemployment Rate as independent variables. The data used in this study are secondary data obtained from BPS North Sumatra. The analytical method used is a multiple linear regression model or Ordinary Ordinary Least Square (OLS). In processing data, the authors use the help of Eviews 8.1 software. Based on the estimation results it is found that there is no correlation between the rate of economic growth and the poverty rate in North Sumatra and the variable Open Unemployment Rate has a positive and significant effect on poverty levels in North Sumatera Province.
A New Scatter Search Design for Multiobjective Combinatorial Optimization with an Application to Facility Location

Metaheuristic optimization is at the heart of the intersection between computer science and operations research. The INFORMS Journal of Computing has been fundamental in advancing the ideas behind metaheuristic methodologies. Fred Glover’s “Tabu Search—Part I” was published more than 30 years ago in the first volume of the then ORSA Journal on Computing. This article, one of the most cited in the area of heuristic optimization, paved the way for many contributions to the methodology and practice of operations research. As a continuation of this stream of research, we describe a new scatter search design for multiobjective optimization. The design includes a short-term memory tabu search and a path relinking combination method. We show how the strategies and mechanisms within scatter search and tabu search can be combined to produce a highly effective approach to multiobjective optimization.
New iteration parallel-based method for solving graph NP-complete problems with reconfigurable computer systems

The paper presents a method of creating parallel-pipeline programs for reconfigurable computer systems based on iteration paralleling for the solution of graph NP-complete problems, which is different from others for processing the irregular sets with the elements accessed not by their addresses (like in arrays) but by values, the names of vertices and the graph arcs. It shows that the new iteration-parallel method is more efficient than the layer-parallel method when the available computing resource and the size of the solved graphs increase due to the significant reduction of the commutation connections.
Early Vigor of a Pyramiding Line Containing Two Quantitative Trait Loci, Phosphorus Uptake 1 (Pup1) and Anaerobic Germination 1 (AG1) in Rice (O. Sativa L.)

Direct-seeded rice is one of the solutions against the issues of limited labor and time in the rice cropping system. Improved useful traits, such as fertilizer uptake and anaerobic germination, are needed to increase yield and efficiency in the direct seeding system in rice. Pup1 (Phosphorous uptake1) containing PSTOL1 is useful in improving the phosphate uptake under rainfed/upland conditions. OsTPP7 is the major gene of AG1 (Anaerobic Germination), which shows anaerobic germination. IR64-Pup1-AG1 (I-PA) was developed by pyramiding Pup1 and AG1. Around 20% of the chromosomal segments from the donor remained in I-PA. Phenotypic analysis revealed that I-PA showed better phenotypic performance under low and normal P conditions by enhancing the root system and tiller numbers during the early stage. Significantly better P uptake capacity of I-PA was observed upon a P-supplied soil condition. The coleoptile length and germination rate of I-PA showed tolerance under anaerobic-germinated conditions. PSTOL1 and OsTPP7 were independently expressed under different P conditions of soils, as well as anaerobic conditions. The newly developed breeding lines, I-PA, showed early vigor capacity through a high number of tillers, better P uptake, and germination in low-oxygen conditions. It will be a useful and improved breeding line for direct seeding rice breeding programs.
Analysis of spatiotemporal variability of water productivity in Ethiopian sugar estates: using open access remote sensing source

ABSTRACT This study focusses on mapping the seasonal and spatial variability of agricultural water productivity of sugarcane crop in three large irrigation schemes of Ethiopia (Wonji, Fincha’a and Metahara) using remote sensing derived datasets. The datasets used in this study were acquired from WaPOR, an open access portal, and included a 100m spatial resolution 10days interval (decadal data) of Net Primary Production (NPP) and Actual Evapotranspiration and Interception (AETI). Accordingly, the average seasonal AETI was compiled for the schemes during time period of January 1/2009 to June 30/2019 and corresponding average fresh weight yields per hectare for the schemes were gathered. Using AETI (as denominator) and yield (as numerator) the water productivity could be calculated into kg/m3. The calculated crop water productivity was 7.5kg/m3 at Wonji, 7kg/m3 at Fincha’a and 4.3kg/m3 at Metahara. When spatially and temporally comparing sub-irrigation schemes with each other and the derived multi-seasonal average varying water productivity performance is visualized. Within Wonji irrigation scheme, high WP values range 7.6 – 9 kg/m3 are found in Dodota, Sodare and Wake-Tiyo during the time period of January 1/2018 to June 30/2019 and lower value of 5.7 – 7 kg/m3 was in Wonji main sub-irrigation scheme during time period of July 1/2013 to December 31/2014. For Fincha’a irrigation scheme, several plots located in the Northern part of East and West bank and the southern part of Neshie sub-schemes show a high water productivity range, from 7.3 to 11.2 kg/m3. Within Metahara irrigation scheme, plots located at southern part show high water productivity range 6.7 to 10.6 kg/m3.
Bidirectional GRU for Targeted Aspect-Based Sentiment Analysis Based on Character-Enhanced Token-Embedding and Multi-Level Attention

: The user’s feedback on healthcare services is usually based on ratings from post-service questionnaires. However, in order to get a clear view of the user's perspective, online text reviews need to be analyzed. We combined targeted and aspect-based sentiment analysis by multi-level attention to get a specific user sentiment on a target of an aspect. The multi-level attention consists of Target-level and Sentence-level attention. Our proposed framework is based on Bidirectional Gated Recurrent Unit. Bi-GRU is commonly known to have comparable results compared to LSTM while having lesser computational complexity. We also utilized Bidirectional LSTM based Character-Enhanced Token-Embedding to handle out of vocabulary words and misspelling to avoid error in detecting sentiment. We created a dataset of online healthcare reviews from 2018-2020, targeting the name of the hospital or department, with ten aspects: cleanliness, cost, doctor, food, nurse, parking, receptionist and billing, safety, test and examination, and waiting time. To improve the results of our proposed method, we calculated polarity weight to handle imbalanced aspects in the dataset. We classified these reviews into three polarities, which are positive, negative, and neutral. Based on our experiments, we achieved the best F1-Score of 88%.
An Approach to Feature Selection in Intrusion Detection Systems Using Machine Learning Algorithms

The rapid development of various services that are provided by information technology has been widely accepted by the users who are making use of such services in their day-to-day life activities. Securing such a system application from various intrusions still remains to be a one of the major issues in the current era. Detecting such anomalies from the regular events involves various steps such as data pre-processing, feature selection, and classification. Many of the computational models intend to accurately discriminate the samples of each group for better classification by identifying candidate features prior to the learning phase. This research studies the implementation of a combined feature selection technique such as the GRRF-FWSVM method which is applied to the benchmarked anomaly detection dataset KDD CUP 99. The results prove the novel proposed hybrid model is an effective method in identifying anomalies and it increases the detection rate of about 98.55% of the intrusion detection system with the two most common benchmark models.
Parameter estimation in a 3‐parameter p‐star random graph model

An important issue in social network analysis refers to the development of algorithms for estimating parameters of a social network model, using data available from the network itself. This entails solving an optimization problem. In the paper, we propose a new method for parameter estimation in a specific social network model, namely, the so‐called p‐star random graph model with three parameters. The method is based on the mean‐field approximation of the moments associated with the three subgraphs defining the model, namely: the mean numbers of edges, 2‐stars, and triangles. A modified gradient ascent method is applied to maximize the log‐likelihood function of the p‐star model, in which the components of the gradient are computed using approximate values of the moments. Compared to other existing iterative methods for parameter estimation, which are computationally very expensive when the number of vertices becomes large, such as gradient ascent applied to maximum log‐likelihood and maximum log‐pseudo‐likelihood estimation, the proposed approach has the advantage of a much cheaper cost per iteration, which is practically independent of the number of vertices.
Autonomous Precision Takeoff and Landing System for VTOLs in Degraded Visual and GNSS Denied Environments

Vertical Takeoff and Landing Systems (VTOLs) offer huge potential for various use cases. During the critical flight phases of takeoff and landing, a safe and reliable flight operation is crucial. This paper presents an autonomous precision takeoff and landing system based on thermal imaging. As thermal imaging is not affected by poor visibility, safe and reliable navigation is enabled. Inspired by visual approaches, a landing platform with thermal makers is developed. A downfacing thermal camera detects the landing platform and enables precision takeoff and landing. The proposed system is evaluated in simulation and in testflights with a motion capture system. Demonstrations in bad visual conditions prove the approach. A comparison to a previously developed radar-based precision takeoff and landing system is carried out.
Use of technology in biology education – case of infrared thermal imaging

ABSTRACT While the use of ICT technologies in biology lessons is becoming more pronounced, it is not yet the case for those related to the use of advanced technologies. In this article, we focus on the use of an infrared camera for developing applications in biology. Infrared thermal imaging has become increasingly affordable, and it is now time for biology educators to take advantage of this development. We present some ideas for the use of thermal imaging for enhancing students’ learning in biology using animals, humans and plants as subjects. The target student age group is middle school to high school level. Some fieldwork was involved in the studies while others can be carried out in a laboratory or classroom setting. There are unique advantages that render an infrared thermal imaging camera suitable and convenient for the studies in this article – it is compact in size and portable, which makes it ideal for fieldwork as well as allows for non-contact measurements which enable data acquisition from a distance from physically inaccessible subjects. We also provide a discussion on the strengths and limitations of using infrared thermal imaging in biology education.
Novel and Green Reduction of Graphene Oxide by Capsicum Annuum: Its Photo Catalytic Activity

ABSTRACT Graphene takes concerned noteworthy consideration payable its distinctive thermal, optical as well as mechanical characteristics. There are several chemical methods are available for reduce graphene oxide (r-GO) towards graphene use by many reducing agent’s alike hydrazine hydrate and its derivatives. Nevertheless, they are highly explosive and emit harmful gases. Reduction of graphene oxide (GO) employing green approaches by way of plants consumes fascinated much devotion by reason of its competence, sustainable structures, and relatively low in price. Though, the crucial constituents in green extracts and their biological degradation determinations regarding GO continue quiet not well unstated. Now present work, the GO was reduced by capsicum annuum (CA) extract. The ideal circumstances for bio reduction existed at volume proportion of chili extract (10 g L−1) and GO (0.5 g L−1) solution aimed at 8 h at 80°C. The r-GO was considered with Raman spectroscopy, Fourier transform infrared spectroscopy (FTIR), Field emission scanning electron microscopy (FESEM), X- Ray diffraction (XRD), Thermo gravimetric analysis/Differential thermal analysis (TGA/DTA), Brunauer-Emmett-Teller (BET), and zeta potential. Outcomes inveterate the oxygen-holding clusters in GO were well detached, development of topping coat on the exterior of r-GO, besides virtuous diffusion of r-GO in aquatic medium. The photo catalytic degradation of GO nano composite was 96% for methyl violet (MV) in 60 minutes.
Species diversity and community structure of zooplankton in threedifferent types of water body within the Sakarya River Basin, Turkey

Pınar GÜRBÜZER*, Özge BUYURGAN, Çağrı TEKATLI, Ahmet ALTINDAĞ Department of Hydrobiology, Faculty of Fisheries, Sinop University, Sinop, Turkey Department of Hydrobiology, Faculty of Fisheries, Ege University, İzmir, Turkey Department of Biology, Graduate School of Natural and Applied Sciences, Ankara University, Ankara, Turkey Department of Biology, Faculty of Science, Ankara University, Ankara, Turkey
DIFFERENCES IN THE COST OF CAPITAL: THE CASE OF FOOD COMPANIES FROM EMERGING AND DEVELOPED EUROPEAN ECONOMIES

The research aims to assess the cost of capital according to the WACC methodology across the food industry companies. The study also investigates the primary financial indicators for company position on the market as total assets, total revenues, and total equity. The study was conducted among 35 European countries from a sample of 1,274 records. The research period covers the years 2015–2018. The results of the survey underline the current asymmetric information problems in WACC food companies’ assessment between European emerging and developed economies. The emerging markets were characterized by a higher level of the cost of equity and debt. The cost of debt among companies from emerging economies was related to total assets value and revenues, which proves the importance of the size of enterprises in relation to their market assessment.
Correlation between Substrate Ion Fluxes and the Properties of Diamond-Like Carbon Films Deposited by Deep Oscillation Magnetron Sputtering in Ar and Ar + Ne Plasmas

Recently, the use of Ne as a processing gas has been shown to increase the ionization degree of carbon in High Power Impulse Magnetron Sputtering (HiPIMS) plasmas. In this work, time-resolved measurements of the substrate’s current density were carried out in order to study the time evolution of the ionic species arriving at the growing film. The addition of Ne to the plasma resulted in a steep increase of the sp3/sp2 ratio in the films once the Ne contents in the processing atmosphere exceeded 26%. Increasing the Ne content is shown to increase both the total number of C ions generated in the plasmas and the ratio of C/gaseous ions. The time-resolved substrate ion current density was used to evaluate the possibility of substrate biasing synchronizing with the discharge pulses in the HiPIMS process. It is shown that in pure Ar plasmas, substrate biasing should be confined to the time interval between 25 and 40 µs after the pulse starts, in order to maximize the C+/Ar+ ratio bombarding the substrate and minimize the formation of film stresses. However, Ne addition to the processing gas shortens the traveling time of the carbon species towards the substrate, reducing the separation between the gaseous and carbon ion arrival times.