bluuebunny/crossref_metadata_2025_split huggingface dataset:
THE HEDONISM LIFESTYLE, FINANCIAL LITERACY AND FINANCIAL MANAGEMENT AMONG BUSINESS EDUCATION STUDENTS TO FINANCIAL MANAGEMENT
Authors: Putra Pasca Dwi , Harahap Khairunnisa , Rahmah Seline Suci 
Published: July 2020

The problem of this research is the poor management of student finances. This study aims to determine how much influence the lifestyle of hedonism and financial literacy on student financial management. The population of this study includes all of the Business Education students batch of 2017 with a sample of 90 respondents. The research instrument test uses the validity and reliability test carried out with the SPSS 22 for Windows software application. Research data analysis techniques: normality test, linearity test, multicollinearity test, multiple linear, F-test using the SPSS software application. The result of this research show that hedonism lifestyle has a negative and significant effect on student financial management; financial literacy has a positive and significant effect on student financial management. The results of this study indicate that there is a significant influence on the lifestyle of hedonism and financial literacy on student financial management, both partially and simultaneously. Keywords: Hedonism Lifestyle; Financial Literacy; Financial Management.
DETERMINANTS OF INVESTORS DECISION MAKING: A CASE STUDY IN THE INDONESIA STOCK EXCHANGE (IDX)
Authors: Thohiri Roza , Yuni Revita , Hastuti Pebri 
Published: July 2020

Inflation in Indonesia tends to perform an issue for investors with regards to the yield value from the investment instrument they put in. The capital market in Indonesia is currently promoting stake in shares with the slogan "let's save shares," which at this time, the returns continue to improve. The purpose of this research to identify the characteristics of stock investors in the IDX, analyze the decision making process of stock investors to choose stocks in the Indonesian stock exchange. It is also intended to find out factors influencing investors to engage in trading activities on the IDX. The data analysis technique used is the validity and reliability of the questionnaire given to respondents, descriptive analysis, and factor analysis. The results of the study found that the validity and reliability of this study are valid and reliable. In the decision-making stage of stock purchase, it is obtained the introduction of problems with sources of income as the primary goal to get capital gains and dividends. Most information searches come from the internet with information searching time around 1-2 days. In evaluating alternatives in making purchases, it turns out stock is the leading choice, with the main consideration being the profit potential. In determining the purchase decision, all respondents have planned well, and themselves have the most influence with the decision making time ranging from 2-7 days. Post-purchase behavior respondents were satisfied with their choice, and the waiting time to get benefits ranged from 3-4 weeks. This research shows, four factors influence investors in buying and selling shares on the IDX, namely information factors, preferred stock factors, market activity factors, and risk-limiting factors. The most influential factor is the information showing the highest percentage of 46.52 percent, among other observed factors. Keywords: Capital Market, Investors, Factor Analysis, Decision Making.
TEAM-BASED LEARNING AND GENERIC CAPABILITIES IN STUDENTS WITH AND WITHOUT EXPERIENCING THE INDONESIAN QUALIFICATION FRAMEWORK CURRICULUM-BASED: EVIDENCE FROM ACCOUNTING EDUCATION STUDENTS IN INDONESIA
Authors: Zainal Andri , Putri Wildanin Haurin , Kartika Venny Tritara , Sriwedari Tuti 
Published: July 2020

Student skills should be able to be trained and developed during the learning process, especially generic skills. The purpose of this study is to analyze the effect of team-based learning on the generic abilities of accounting students at Medan State University. The population in this study were accounting education program students totaling 96 students from class of 2015 and 107 students from class of 2015. Data collection techniques using questionnaires. The validity, reliability, and classic assumption testing are employed before conducting hypothesis testing using a two samples t-test for difference of means. The results showed that there was an effect of the application of the Team-Based Learning (TBL) learning model on generic abilities in Accounting Education students. Keywords: Team Based Learning, Generic Capabilities, Accounting Students, Universitas Negeri Medan.
PENGENALAN DAN PENGEMBANGAN KEWIRAUSAHAAN DI DESA CISEMPUR
Authors: Karlina Nina 
Published: July 2020

Kegiatan Pengabdian Kepada Masyarakat telah dilaksanakan di Desa Cisempur, Kecamatan Jatinangor Kabupaten Sumedang selama 1 bulan memfokuskan pada pengembangan Usaha Mikro Kecil Menengah (UMKM) yang dirasa butuh untuk dikembangkan sebagai bentuk pemberdayaan demi terciptanya kesejahteraan masyarakat yang dikembangkan UMKM yang dikembangkan adalah UMKM yang memproduksi tempe mentah. Selain pengembangan produksi tempe , sosialisasi pengembangan jiwa kewirausahaan di beberapa sekolah dasar negeri yang ada di Cisempurpun telah dilakukan. Rangkain terakhir dari kegiatan pengabdian ini adalah seminar pengenalan dan pengembangan kewirausahaan dengan mengundang masyarakat dan para ibu2 penggerak PKK. Adapun tujuan mengembangkan UMKM tempe adalah karena terdapat potensi ekonomi yang cukup tinggi namun pemiliknya belum kemampuan untuk mengembangkan usahanya. Sedangkan tujuan dari seminar pengenalan dan pengembangan kewirausahaan adalah mengenalkan cara berwirausaha dan peningkatan kepercayaan diri masyarakat agar mampu berwisausaha dengan baik serta memberikan strategi sederhana dalam produksi dan pemasarannya. , Hasil dari pengabdian ini masyarakat sudah mulai mengerti bahwa kewirausahaan bisa menjadi alternatif yang cukup menjanjikan untuk memberikan penghasilan, dan dapat membantu mengembangkan serta memberdayakan melalui strategi branding dan marketing produk.
Electrocardiographic voltage criteria in patients with hypertrophic cardiomyopathy
Authors: Monzo Luca , Martino Annamaria , Lanzillo Chiara , Bencivenga Sabrina , Acitelli Angelo , Fedele Elisa , Salustri Elisa , Bona Roberta Della , Maresca Luciano , Silvetti Elisa , Canestrelli Stefano , Minati Monia , Penco Maria , Calò Leonardo 
Published: July 2020

Background
Several ECG voltage criteria have been proposed for the diagnosis of left ventricular hypertrophy (LVH). Notably, ECG criteria have been historically validated in concentric LVH but not in hypertrophic cardiomyopathy (HCM), wherein the hypertrophy pattern is typically asymmetric.

Objectives
The aim of our study was to evaluate the performance of ECG voltage criteria for LVH diagnosis in the HCM population.

Material and methods
The electrocardiograms of 92 HCM patients and 41 sex- and age-matched controls were evaluated with the most frequently used ECG voltage criteria for LVH diagnosis. Cardiac magnetic resonance (MRI) was performed in HCM and controls in order to quantify LVH and its distribution.

Results
In the HCM population, the maximal diagnostic accuracy was achieved by Amplitude total and Amplitude total product criteria (58% for both), while the Cornell Voltage best performed in septal HCM (62%), the Sokolov in aVL and Gubner criteria in apical HCM (79% for both) and the Cornell Voltage and Product in anterior HCM (86% for both). All the ECG voltage criteria showed a poor correlation with left ventricular mass and maximal thickness measured by cardiac MRI.

Conclusions
In our study, only a few ECG voltage criteria used for the detection of LVH in clinical practice showed an acceptable performance in the HCM population. Further studies are needed to clarify the role of ECG for LVH detection in HCM patients.
Arrhythmic event prediction in patients with heart failure and reduced ejection fraction
Authors: Santangelo Gloria , Bursi Francesca , Negroni Maria S. , Gentile Domitilla , Provenzale Giovanni , Turriziani Laura , Zambelli Daniel L. , Fiorista Lorenzo , Bacchioni Giuseppe , Massironi Laura , Tarricone Diego G. , Carugo Stefano 
Published: July 2020

Aims
Implantable cardioverter defibrillator (ICD) is an effective treatment to reduce mortality in patients with symptomatic heart failure and left ventricular ejection fraction (LVEF) 35% or less. LVEF presents a low sensitivity for predicting arrhythmic events. Aim of this study was to identify predictors of sustained ventricular arrhythmias (SVAs), overall and according to the cause of heart failure.

Methods
Single-center, retrospective, cohort study of 193 patients (51 nonischemic and 142 ischemic) with chronic heart failure and LVEF less than 35% who had received ICD for primary prevention of sudden cardiac death. We collected clinical data, echocardiographic parameters and SVAs detected by the ICD.

Results
During a median follow-up of 1440 days, 32 (16.2%) patients had SVAs. SVAs incidence was similar in patients with nonischemic (15.6%) and ischemic cause of heart failure (16.9%). Hypertension, diabetes, chronic renal failure, atrial fibrillation, chronic obstructive pulmonary disease, New York Heart Association class at least III were predictors at univariate analysis of SVAs. A clinical score, assigning one point to each of these variables, was associated with a significantly increased risk of SVAs [odds ratio for each point increase = 1.92, 95% confidence interval 1.40–2.65, P < 0.0001, area under the curve (AUC) 0.73], with 72% sensitivity and 60% specificity for a cutoff at least three and remained significant in nonischemic (AUC 0.84) and ischemic (AUC 0.68) patients.

Conclusion
Our study shows the benefit of ICD implantation in primary prevention and its independency of cause. A simple clinical score, based on comorbidities, identifies patients with more benefits from ICD implantation.
IN-PLANTA TRANSFORMATION METHOD MEDIATED WITH Agrobacterium tumefaciens FOR T-DNA TRANSFER IN TABLE GRAPE (Vitis vinifera L.)
Authors: Dwiyani Rindang , Yuswanti Hestin , Fitriani Yuyun , Sugiharto Bambang 
Published: July 2020

The aim of the research is to investigate a simple method of in planta transformation method for T-DNA transfer in table grape. The T-DNA harbored the S0SPS1 gene under the control of promoter of the 35S CaMV from the Cauliflower Mosaic Virus and contained the NPTII gene, a kanamycin-resistant gene as a selectable marker for transformant selection. Six-month plants originated from cuttings were used as target plants. We explored two methods of in planta transformation, namely ”dipping” and “sweeping”. For both methods, the leaves of the target plants were removed and those of shoots without leaves were used as the target of transformation. In the “dipping method”, those shoots were dipped with the agrobacterial suspension for 60 seconds. However, for the “sweeping method”, the scars (the spots where leaves were removed) were swept with agrobacterial suspension using a cotton bud. Those treated non-leafy-shoots (from both methods) then were grown to be leafy shoots. Those leafy shoots then were cut and transplanted into the soil and grown to be a whole plant. The leaves of those plants then were taken as samples for DNA extraction and PCR using primers of NPTII gene (Forward: 5’-GTCATCTCACCTTCCTCCTGCC-3’; Reverse: 5’ GTCGCTTGGTCGGTCATTTCG-3’) with expected amplified band of 550 bp. We found that only the “sweeping method” plants amplified the 550 bp bands, while those of the “dipping method” did not. We suggest that the T-DNA was successfully integrated into the genome of plants treated with the “sweeping method” but not with the “dipping method”. Leaf sugar content (oBrix) of PCR-positive vines was higher than those of the wild-type vines, ensuring the integration of the T-DNA into the plant genome.
New Updated Classification of Shallow Earthquakes Based on Faulting Style
Authors: Al-Heety Emad Abulrahman Mohammed Salih 
Published: July 2020

Earthquakes occur on faults and create new faults. They also occur on normal, reverse and strike-slip faults. The aim of this work is to suggest a new unified classification of Shallow depth earthquakes based on the faulting styles, and to characterize each class. The characterization criteria include the maximum magnitude, focal depth, b-constant value, return period and relations between magnitude, focal depth and dip of fault plane. Global Centroid Moment Tensor (GCMT) catalog is the source of the used data. This catalog covers the period from Jan.1976 to Dec. 2017. We selected only the shallow (depth less than 70kms) pure, normal, strike-slip and reverse earthquakes (magnitude â‰¥ 5) and excluded the oblique earthquakes. The majority of normal and strike-slip earthquakes occurred in the upper crust, while the reverse earthquakes occurred throughout the thickness of the crust. The main trend for the derived b-values for the three classes was: b normal fault>bstrike-slip fault>breverse fault. The mean return period for the normal earthquake was longer than that of the strike-slip earthquakes, while the reverse earthquakes had the shortest period. The obtained results report the relationship between the magnitude and focal depth of the normal earthquakes. A negative significant correlation between the magnitude and dip class for the normal and reverse earthquakes is reported. Negative and positive correlation relations between the focal depth and dip class were recorded for normal and reverse earthquakes, respectively. The suggested classification of earthquakes provides significant information to understand seismicity, seismtectonics, and seismic hazard analysis.
Proving the Equality of the Spaces Q_b^r (A),Q_b^l (A) and BL(X) where X is a Complex Banach Space
Authors: Al-Neima Mohammed Th. , Mohammed Amir A. 
Published: July 2020

Cabrera and Mohammed proved that the right and left bounded algebras of quotients and of norm ideal on a Hilbert space are equal to Banach algebra of all bounded linear operators on . In this paper, we prove that where is a norm ideal on a complex Banach space .
Blow-up Rate Estimates and Blow-up Set for a System of Two Heat Equations with Coupled Nonlinear Neumann Boundary Conditions
Authors: Rasheed Maan A. , Chlebik Miroslav 
Published: July 2020

This paper deals with the blow-up properties of positive solutions to a parabolic system of two heat equations, defined on a ball in associated with coupled Neumann boundary conditions of exponential type. The upper bounds of blow-up rate estimates are derived. Moreover, it is proved that the blow-up in this problem can only occur on the boundary.
Localization of the Optic Disc in Retinal Fundus Image using Appearance Based Method andVasculature Convergence
Authors: Athab Suha Dh. , Selman Nassir H. 
Published: July 2020

Optic Disc (OD) localization is a basic step for the screening, identification and appreciation of the risk of diverse ophthalmic pathologies such as glaucoma and diabetic retinopathy.In fact, the fundamental step towards an exact OD segmentation process is the success of OD localization. This paper proposes a fully automatic procedure for OD localization based on two of the OD most relevant features of high-intensity value and vasculature convergence. Merging ofthese two features renders the proposed method capable of localizing the OD within the variously complicated environments such as the faint disc boundary, unbalanced shading, and the existence of retinal pathologies like cotton wall and exudates,which usually share the same color and structure with the OD. To demonstrate the robustness, reliability and broad applicability of the proposed approach,we tested 1614 images from publically available datasets, including Messidor (1200 images), TheStandard Diabetic,Retinopathy Database (DIARETDB0 ,130 images), Digital Retinal,Images for Optic Nerve,Segmentation (DRIONS ,110 images), TheStandard Diabetic,Retinopathy Database (DIARETDB1,89 images),High,Resolution Fundus (HRF,45 images),and Digital,Retinal Image for Vessels,Extraction (DRIVE,40 images). The method successfully localized 1599 images and failed in 15 images, with an average success rate of 99.07% and an average computation time of 0.5 second per image.
Deep Belief Network for Predicting the Predisposition to Lung Cancer in TP53 Gene
Authors: Shahweli Zahraa Naser 
Published: July 2020

Lung cancer, similar to other cancer types, results from genetic changes. However, it is considered as more threatening due to the spread of the smoking habit, a major risk factor of the disease. Scientists have been collecting and analyzing the biological data for a long time, in attempts to find methods to predict cancer before it occurs. Analysis of these data requires the use of artificial intelligence algorithms and neural network approaches. In this paper, one of the deep neural networks was used, that is the enhancer Deep Belief Network (DBN), which is constructed from two Restricted Boltzmann Machines (RBM). The visible nodes for the first RBM are 13 nodes and 8 nodes in each hidden layer for the two RBMs. The enhancer DBN was trained by Back Propagation Neural Network (BPNN), where the data sets were divided into 6 folds, each is split into three partitions representing the training, validation, and testing. It is worthy to note that the proposed enhancer DBN predicted lung cancer in an acceptable manner, with an average F-measure value of 0. 96 and an average Matthews Correlation Coefficient (MCC) value of 0. 47 for 6 folds.
A Proposed Approach to Determine the Edges in SAR images
Authors: Abbas Rabab Farhan 
Published: July 2020

Radar is the most eminent device in the prolonged scattering era The mechanisms involve using electromagnetic waves to take Synthetic Aperture Radar (SAR) images for long reaching. The process of setting edges is one of the important processes used in many fields, including radar images, which assists in showing objects such as mobile vehicles, ships, aircraft, and meteorological and terrain forms. In order to accurately identify these objects, their edges must be detected. Many old-style methods are used to isolate the edges but they do not give good results in the determination process. Conservative methods use an operator to detect the edges, such as the Sobel operator which is used to perform edge detection where the edge does not appear well.
The proposed method which combines Ridgelet transform, Bezier curve and Sobel operator is used to detect edges very efficiently. Ridghelet transform resolves the harms in the wavelet transform and it can well detect the edges in images. Bezier curve can profit gradual variation of the data and their mutability. Hence, the efficiency of the edged image is improved and, when used with Sobel operator, the quality of the edge image become very good. The data show that the advocated method has superior fallouts over the Sobel edge detection and the wavelet method in both subjective and impartial experiments. While the Peak Signal to Noise Ratio(PSNR) values were equal to 9.3812, 9.8918, 9.6521 and 9.0743using the Sobel operator method and to10.2564, 10.7927, 10.5612and 10.8633 using the wavelet method, they were increased in the proposed method to 12.6542, 12.9514, 12.8574 and 12.3013 respectively.
Software Development for First Aid Decision Support System
Authors: Ahmed Ahmed Shihab , Salah Hussein Ali , Jameel Jalal Q. 
Published: July 2020

This work presents an approach to deal with modelling a decision support system framework to introduce an application for decisions in medical knowledge system analysis. First aid is extremely important worldwide and, hence, a decision support framework, know as First Aid Decision Support System (FADSS), was designed and implemented to access experimental cases exerting danger to the general population, offering advanced conditions for testing abilities in research and arranging an emergency treatment through the graphical user interface (UI). The design of first aid treatment in FADSS depends on the general cases in first aid. We presented a strategy to manage first aid treatment by modelling an application (FADSS) that assists people in finding information about first aid cases that are available as an application service. FADSS service uses a set of 15 important situations that might happen to people. The decision for treatment is suggested on the system for a different accident. FADSS tests the information in real-time by using mathematical models, decision tree and data mining (C4.5 algorithm) that are used in this research to build a decision making system. The system automatically sends warnings when the case is very critical, using text messages as email reports. The main objective of this study is to provide an efficient tool that helps people and junior workers in first aid centres in order to find the available resources of information.
Effects of Laser at 810 Nm on Wound Healing in Albino Mice
Authors: Funjan Mawada M. 
Published: July 2020

Many researches focused on laser therapy of wound healing in different animal models due to the lack of a standard protocol in the application of such phototherapy. Objective: To study the effects of 810nm laser at a constant irradiance of 41.63 mw/cm2 and exposure (illumination) time of 5,15 minutes on wounds created on Albino mice (BALB/c).
Skin wound with elliptic shape and full thickness was created on the dorsal side of â€˜45 mature male albino mice. Irradiated animals were divided into two main groups based on irradiation time, the first was irradiated for 5 min and the second for 15 min, each was subdivided into three subgroups (n=5) according to number of treatment days (3, 5 and 10 days). Both treated and respective control (n=15) subgroups were sacrificed on days 3, 5 and 10 posttreatment. Laser therapy was applied using a 810 nm diode laser with a continuous wave, an output power of 400 mw, and irradiance of 41.63. The 5 min dose was 12 .5 J/cm2, whereas the 15 min dose was 37.4 J/cm2. The shape of the laser beam was fitted with a convex lens as â€˜beam expanderâ€™ to irradiate a circular area of 3.4 cm diameter. Laser therapy was started after surgery and repeated for 3, 5 and 10 days, while its effects were examined by histological evaluation. Results: At day 3 of treatment with near infrared 810nm laser at doses of 12.5J/cmÂ² and 37.4J/cmÂ², there was no evidence of wounds healing in irradiated groups which showed no differences with the respective control groups. At day 5 of treatment, the results showed an important increase in the scores of the parameters of wound healing (formation of granulation tissue and collagen deposition) in the irradiated groups. Near infrared 810nm laser had photobiostimulation effects on wound healing at irradiance of 41.63mW/cmÂ² and doses of 12.5J/cmÂ² for 5 minutes and 37.4J/cmÂ² for 15 minutes exposure time. A complete picture of wound healing response appeared in all irradiated groups within 10 days of treatment, as expressed by complete â€˜re-epithelializationâ€™, moderate granulation tissue formation, and presence of collagen fibers, while incomplete wound healing response was observed in un-irradiated control groups within the same period. The study showed that 810 nm laser therapies had significant effects on wound healing, especially at a dose of 37.4J/cmÂ².