bluuebunny/crossref_metadata_2025 huggingface dataset:
Surgical Correction of Non-traumatic Patella Maltracking. Midterm Clinical Follow-up
Authors:   Division of Orthopedic Surgery, Rambam Health Care Campus, Haifa, Israel, Keltz Eran ,   The Ruth & Bruce Rappaport Faculty of Medicine, Technion–Israel Institute of Technology, Haifa, Israel, Ofir Dror ,   Division of Orthopedic Surgery, Sourasky Medical Center, Tel Aviv, Israel, Beer Yiftah ,   Department of Orthopedic Surgery, Assaf Harofeh Medical Center, Zrifin, Israel, Gruber Naama ,   1Division of Orthopedic Surgery, Rambam Health Care Campus, Haifa, Israel, Falah Mezen ,   1Division of Orthopedic Surgery, Rambam Health Care Campus, Haifa, Israel, Nierenberg Gabriel ,   2The Ruth & Bruce Rappaport Faculty of Medicine, Technion–Israel Institute of Technology, Haifa, Israel,   Sports Traumatology & Cartilage Regeneration Service, Division of Orthopedic Surgery, Rambam Health Care Campus, Haifa, Israel
Published: March 2022

Background: Patellar instability comprises a group of pathologies that allow the patella to move out of its trajectory within the trochlear groove during walking. Symptomatic patients who need surgery commonly undergo soft tissue procedures such as medial patellofemoral ligament repair to strengthen the ligaments that hold the patella in place. However, soft-tissue repairs may be insufficient in patients suffering from patellar maltracking, which is characterized by an unbalanced gliding of the patella within its route. In these patients, a different approach is advised. We aim to provide the mid-term clinical outcomes of the Fulkerson distal realignment operation in selected patients with non-traumatic patellar maltracking. Methods: The clinical outcomes of the Fulkerson distal realignment operation performed in 22 knees of 21 patients were evaluated by a self-administered subjective International Knee Documentation Committee (IKDC) score and the Tegner–Lysholm knee scoring scale. Results: Before surgery, the median IKDC score was 52, and the median Tegner–Lysholm score was 56. Following surgery (mean follow-up 48 months, range 24–156), the median IKDC and the Tegner–Lysholm scores were 67 and 88, respectively. The improvement was statistically significant (P=0.001 and P=0.002 for IKDC and Tegner–Lysholm scores, respectively). Associated procedures included patella microfracture due to grade III–IV cartilage lesion (International Cartilage Repair Society grading system) in four patients, retinacular releases in three patients, medial capsular augmentations in two patients, and medial patellofemoral ligament reconstruction in two patients. One patient with Ehlers–Danlos disease required excessive medialization of the tibial tuberosity. Surgery-related complications occurred in three patients. Discussion: Surgical correction of patellar maltracking with Fulkerson distal realignment combined with associated procedures in individual patients was associated with an increase in subjective and functional clinical scores at medium-term follow-up. Particular attention should address pathologies associated with patellar maltracking and managed accordingly. Level of evidence: 4c (case series).
INTENSIFIKASI PEMUNGUTAN DAN EKSTENSIFIKASI SUMBER PAD TERHADAP KEMANDIRIAN KEUANGAN DAERAH PEMEKARAN: STUDI PADA KABUPATEN SERAM BAGIAN BARAT DAN KABUPATEN KEPULAUAN ARU PROVINSI MALUKU
Authors: Wenno Meiske
Published: March 2022

This research discussing the finance self-support problem by using intensification of collection and extensification of PAD source at the government of West Seram District and Aru Island District, Maluku Province. The objective of research is to test and analyzing the factors establishing the intensification of collection and extensification of PAD source, to test and analyzing  the effect of intensification of collection and extensification of PAD source on local finance self-support, and recommending a strategy to the government of West Seram District and Aru Island District in pursuance of the local finance self-support. Population this research is civil servants on the government office at West Seram District and Aru Island District who runs the function as assigned to manage and to produce  PAD amounts 744 civil servants in the scope of the government office at West Seram District and Aru Island District. This research use factor analysis and multiple regression analysis. Result of research indicates that the implementation of intensification of collection and extensification of PAD source in the government at West Seram District and Aru Island District have significantly influenced the improvement of local finance self-support.
ANALISIS DETERMINAN TRANSFER PEMERINTAH PUSAT BERUPA DANA ALOKASI KHUSUS PADA KABUPATEN/KOTA DI PROVINSI MALUKU
Authors: Laitupa Abdul Azis
Published: March 2022

Implementation of regional autonomy in Indonesia provides the right and authority for the government to explore its potential and improve its financial performance to meet the needs and services. This study was to observe the effect of the independent variable is economic growth that is proxied by the PDRB, the original income (PAD) and the number of population on the dependent variable is the Special Allocation Fund (DAK) in Ambon City, Central Maluku and Southeast Maluku regency in Maluku province from the year 2003-2013. the method used in this research is panel data regression. The results showed that there is significant influence of the independent variable, economic growth is proxied  by the PDRB, revenue (PAD) and the number of population on the amount of central government assistance in the form of general allocation funds in Ambon City, Central Maluku and Southeast Maluku District in the Province Maluku.
PEMETAAN POTENSI OBJEK WISATA DI PULAU AMBON (PENDEKATAN SWOT DAN IFAS EFAS)
Authors: Hanoeboen Bin Raudha
Published: March 2022

The research was conducted at Namalatu Beach, Hunimua Beach and Natsepa Beach. This study aims to map the tourism potential on Ambon Island. The data used in this study are secondary data from Time Series data from 2013 to 2015 obtained from the Maluku Provincial Tourism Office and the Central Bureau of Statistics of Maluku Province and primary data processed. The Internal Factor Evalution Matrix (IFE) is used to analyze the factors in the form of strengths and weaknesses possessed. Internal factor data is sought to analyze matters relating to several functional tourism objects. The preparation of IFAS and EFAS tables is carried out by giving a weight of 0.20 or 20% (Strong and high), 0.15 or 15% (Above average), 0.10 or 10% (Average), 0.05 or 5% (below average). And 0.00 or 0% (unaffected) with a rating scale starting from 1 (poor) to 4 (Outstanding) based on the influence of these factors Namalatu Beach Attractions, Hunimua Beach, Natsepa Beach and World Peace Gongs are then multiplied and added to get total scores from IFAS and EFAS tables. The process of weighting and granting IFAS and EFAS table ratings is based on answers to questionnaires, interviews with related parties and research observations.
PENGUKURAN KINERJA PEMBANGUNAN MANUSIA DESA/KECAMATAN KABUPATEN SERAM BAGIAN BARAT DENGAN MENGGUNAKAN ANALISIS MULTIVARIAT
Authors: Amaluddin Amaluddin , Payapo Rukmuin Wilda , Laitupa Abdul Aziz
Published: March 2022

The first purpose of this paper is to develop or construct a new human development composite index and applied to measure the performance of human development in the village / district of West Seram Regency. The second, to develop the priority scale of human development planning. This paper applies quantitative analysis method that is principal component regression (PCR) and clustering analysis (CA). Data is sourced from the Regional Development Planning Agency (Bappeda) of West Seram Regency of year 2016. Application of principal component regression and clustering analysis method, aims to improve the aggregation method of human development composite index developed by UNDP. Composite index compositions resulting from principal component regression and IPM-UNDP largely result in different ranking information but in some villages have the same rank. Based on K-means clustering analysis, there were 3 main clusters, namely high, medium and low cluster. The number of villages in the high cluster is 6 villages, the medium cluster is 13 villages and low cluster is 14 villages.
STRATEGI OPTIMALISASI PENDAPATAN ASLI DAERAH (PAD) DI KABUPATEN BURU SELATAN
Authors: Pattilouw Djufri Rays
Published: March 2022

The purpose of this study was to evaluate the performance of Regional Original Revenue (PAD) and formulate a strategy in order to optimize PAD revenues in South Buru Regency. Related to PAD evaluation, the method of effectiveness ratio analysis, elasticity, and fiscal independence ratio were used. Meanwhile, to formulate PAD optimization strategy, a number of stages are taken in the SWOT analysis method. The results are: 1) The achievement of PAD in South Buru Regency is not good yet, as seen from the fiscal independency ratio, effectiveness ratio, and relatively low and uncertain PAD elasticity; 2) Strategic environmental maps show that management of PAD in South Buru is in quadrant III which is weak internally but has many opportunities that can be developed; 3) SWOT matrix conclude that the alternative strategy that must be a top priority for efforts to optimize the management of PAD in South Buru Regency is the W-O Strategy, namely: "Fixing weaknesses to optimize opportunities"
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN PEMBELIAN KONSUMEN PRODUK ASURANSI (Studi Kasus Produk Sinarmas MSIG life Link 88 pada PT.Asuransi Jiwa Sinarmas MSIG life Cabang Ambon)â€
Authors: Patty Jancen Roland
Published: March 2022

This study aims to empirically examine the effect of product factors, price factors, promotion factors, people and service process factors on consumer purchasing decisions in choosing Smile Link 88 products at PT. Sinarmas Life Insurance MSIG life Ambon Branch. This research is empirical research, with the sampling technique used is purposive sampling. The analysis used is multiple regression analysis with the least squares equation and hypothesis testing using t-statistics to test the coefficient of partial regression and F-statistics to influence the effect together with a confidence level of 5%.The results of the granting show that, in terms of product factor have a significant effect on consumer purchasing decisions in choosing Smile Link 88 products, the price factor has a significant effect on consumer purchasing decisions in choosing Smile Link 88, promotion factors have a significant effect on Consumer purchasing decisions in choosing Smile Link 88 products, people factors have a significant effect on consumer purchasing decisions in choosing Smile Link 88 products and service process factors (process) have a significant effect on consumer purchasing decisions in choosing Smile Link 88 products at PT Life Insurance SinarmasMSIG life Ambon Branch.
PERAN MODAL SOSIAL SEBAGAI UPAYA PENGEMBANGAN UMKM DI DESA BATU MERAH KOTA AMBON
Authors: Effendy Jani
Published: March 2022

This study aims to look at the role of social capital as an effort to develop UMKM in Batu Merah Village, Ambon City. Home industry is an attractive business sector to note, not only is its development and distribution so rapid but also the dynamics that occur in the industry. This study uses a qualitative approach with descriptive analysis. The selection of informants in this study was carried out by purposive sampling technique, which is the retrieval of data from informants who have been criticized beforehand. The criteria are Micro, Small and Medium Enterprises UMKM in the area. Data collection techniques used are observation, interviews, documentation. The results of this study state that social norms have several functions, among others, as a tool to minimize the possibility of behavioral irregularities in trade, to regulate trade transactions, to help traders get trust from other parties, maintain togetherness and maintain good relations between individuals.
ANALISIS PENGARUH INFLASI DAN PDRB TERHADAP PENGANGGURAN TERBUKA DI PROVINSI MALUKU (STUDI KASUS KABUPATEN KOTA)
Authors: Tutupoho Ali
Published: March 2022

The problem in this study is that open unemployment in Maluku Province has increased, this is a waste of resources and existing potential, can become a burden on family and community problems, the main source of poverty, can encourage increased social unrest and crime and can hinder development. Did inflation and GRDP affect open unemployment in Maluku Province in 2011-2017. This study aims to analyze inflation and GDP against open unemployment in Maluku Province in 2011-2017. The data used is in the form of secondary data obtained from the Central Statistics Agency of Maluku Province. The variables measured are inflation and GRDP as independent variables and Open Unemployment as bound variables. The analysis technique used is the Data Panel. The results showed that the inflation variable had a negative and significant effect on open unemployment in Maluku Province with a sig. 0.0278 and GRDP has a negative and significant effect of 0.0385 on open unemployment in Maluku Province. Taken together, the inflation and GRDP variables have a significant effect on open unemployment in Maluku Province, this can be seen from the F test with a sig. 0.000000. This study explains that the inflation and GRDP variables have a big influence on open unemployment in Maluku Province.
ANALISIS KEMISKINAN DI KAWASAN TIMUR INDONESIA
Authors: Tubaka Saddam
Published: March 2022

This study was conducted to analyze the effect of economic growth, income distribution, unemployment, education and health on poverty in Eastern Indonesia in 2013-2017. Independent variables used in this study are economic growth, income distribution, unemployment, education and health and poverty as dependent variable. The data used in this study are secondary data sourced from the Central Statistics Agency of Maluku Province consisting of time series data for 2013 - 2017 and cross section data for 12 provinces in Eastern Indonesia. The analytical method used is panel data regression analysis. The results showed that economic growth had a positive and not significant effect on poverty in Eastern Indonesia. Variable income distribution has a positive and not significant effect on poverty in Eastern Indonesia. The unemployment variable has a positive and significant effect on the poverty variable in Eastern Indonesia. Education and health variables have a positive and significant effect on poverty in Eastern Indonesia. The coefficient of determination is 0.993136, meaning that the poverty variable can be explained by variables of economic growth, income distribution, unemployment, education and health by 99.31%. Simultaneous test results (F test), showed variables of economic growth, income distribution, unemployment, education and health simultaneously had a significant effect on poverty in Eastern Indonesia.
PENGARUH UPAH, PERTUMBUHAN EKONOMI , INFLASI DAN TINGKAT SUKU BUNGA TERHADAP INVESTASI DI PROVINSI MALUKU
Authors: Sely Muhammad Dahlan
Published: March 2022

This study was conducted to determine the Effect of Wages, Economic Growth, Inflation and Interest Rates on Investment in the Provinces in 1998 - 2018. Variables used in this study are wages, economic growth, inflation and interest rates as independent variables and investment as dependent variables. The data used in this study are secondary data sourced from the Central Statistics Office of the Maluku province, the Office of Investment and Integrated Services of the One Door Province of Maluku, Economic and Financial Statistics of Indonesia-Bank Indonesia and the Office of the Regional Development Planning Agency. The data used are time series data from 1998 to 2018. The analytical method used is multiple regression analysis using the classical assumption test. Based on the four classical assumptions tests, namely tests of normality, multicollinearity, heteroscedasticity and autocorrelation, no variables were found that deviate from the classical assumptions. The results showed that the variable of economic growth had a positive and significant effect on investment in the Maluku province. Variable wage rates and economic growth have a positive and significant effect on investment in Maluku province. Inflation variable has a significant positive effect on Investment in Maluku Province. Variable interest rates have a negative and significant effect on investment in Maluku Province. The coefficient of determination is 0.794984, this number implies that the investment variable in this study can be explained by the variable variable, economic growth, inflation and interest rates of 79.49% while the remaining 20.51% is explained by other variables outside this research model.
DETERMINAN PENDAPATAN NELAYAN DI PULAU AMBON
Authors: Metekohy Stellamaris
Published: March 2022

Ambon Island has potential fishery resources to be developed in the future because the fishing community on the coast is used as a source of income and the level of income depends on the catch. This study aims to determine the level of income of fishermen on the coast and the factors that influence it, including: capital factors, experience at sea, education level proxied by dummy variables and length of time at sea. The results obtained are that the factors of capital, fishing experience and education level have a positive and significant effect on fishermen's income, while the length of time at sea has no significant effect on fishermen's income. The analytical tool used is multiple regression analysis.
PENGARUH KARAKTERISTIK INDIVIDU DAN KEPUASAN KERJA TERHADAP KOMITMEN ORGANISASI PADA PT. FEDERAL INTERNATIONAL FINANCE (FIF) CABANG AMBON
Authors: Kuhuparuw Ventje J
Published: March 2022

This study aims to identify the effect of individual characteristics and Job Satisfaction on Organizational Commitment. The analytical method used in this research using Likert scale and multiple linear regression analysis using SPSS program based on the analysis, the model used to determine the organizational commitment based SPSS output is Y = 5654 + 0,536X1 + 0,321X2. Results of testing the hypothesis states that the variable Characteristics of individuals and job satisfaction positive and significant impact on organizational commitment with coefficient value of 5,654.
PEMETAAN PERKEMBANGAN EKONOMI ANTAR DAERAH DI INDONESIA
Authors: Ramly Fahrudin , Tutupoho Ali
Published: March 2022

Equitable distribution of development results in various regions has become a new paradigm in current national development policies. However, in reality, inequalities in development between regions, both between provinces and regions, are still encountered. This study aims to map the economic development between regions in Indonesia. Referring to the amount of GRDP in each province and region, there is a huge difference. Provinces which are located in Java Island, have a large GRDP contribution to GDP. This means that the Indonesian economy is still concentrated in these areas.
PENGARUH EFEKTIVITAS PENGENDALIAN INTERNAL, KETAATAN ATURAN AKUNTANSI DAN PERILAKU TIDAK ETIS TERHADAP KECENDERUNGAN KECURANNGAN AKUNTANSI (STUDI PADA PERUSAHAAN BADAN USAHA MILIK NEGARA DI AMBON)
Authors: Kalau Ali Amin , Leksair Stevanus
Published: March 2022

This study aims to test and analyze empirically the effect of the effectiveness of internal control, obedience to accounting rules, and unethical behavior on the tendency of accounting fraud in State-Owned Enterprises (BUMN) in Ambon City. The population of this research is employees of State-Owned Public Company in Ambon city. Data collection using a questionnaire technique (questionnaire) which was distributed to 32 respondents in this study. The analytical tool used to test the hypothesis using multiple regression models. The results of this study indicate that the effectiveness of internal control variables has an effect on the tendency of accounting fraud, adherence to accounting rules has an effect on the tendency of accounting fraud and unethical behavior also affects the tendency of accounting fraud.
An Ancient Number Recognition using Freeman Chain Code with Deep Learning Approach
Authors: M. Joshi Aditi , G. Patel Sanjay
Published: March 2022

Sanskrit character and number documents have a lot of errors. Correcting those errors using conventional spell-checking approaches breaks down due to the limited vocabulary. This is because of high inflexions of Sanskrit, where words are dynamically formed by Sandhi rules, Samasa rules, Taddhita affixes, etc. Therefore, correcting OCR documents require huge efforts. Here, we can present different machine learning approaches and various ways to improve features for ameliorating the error corrections in Sanskrit documents. Simulation of Sanskrit dictionary for synthesizing off-the-shelf dictionary can be done. Most of the proposed methods can also work for general Sanskrit word corrections and Hindi word corrections. Handwriting recognition in Indic scripts, like Devanagari, is very challenging due to the subtitles in the scripts, variations in rendering and the cursive nature of the handwriting. Lack of public handwriting datasets in Indic scripts has long stymied the development of offline handwritten word recognizers and made comparison across different methods a tedious task in the field. In this paper, a new handwritten word dataset will be released for Devanagari, IIIT-HW-Dev to alleviate some of these issues. This process is required for successful training of deep learning architecture, availability of huge amounts of training data is crucial, as any typical architecture contains millions of parameters. A new method for the classification of freeman chain code using four-connectivity and eight-connectivity events with deep learning approach is presented. Application of CNN LeNet-5 is found to be suitable to get results in this cases as the numbers are formed with curved lines In contrast with the existing FCC event data analysis techniques, sampled grey images of the existing events are not used, but image files of the three-phase PQ event data are analysed by taking the advantage of the success of the deep learning approach on imagefile-classification. Therefore, the novelty of the proposed approach is that image files of the voltage waveforms of the three phases of the power grid are classified. It is shown that the test data can be classified with 100% accuracy. The proposed work is believed to serve the needs of the future smart grid applications, which are fast and taking automatic countermeasures against potential PQ events.
Web Auto Configuration for N-Tier in VM based Dynamic Environment by Reinforcement Learning Approach: A Study
Authors: Prajapati Keyur , J Prajapati Dinesh
Published: March 2022

In Web system, configuration is the crucial part to achieve performance with service availability. Now in days, because of dynamics web traffic, virtualization is the key factor. How to handle required resources is a challenging task in virtual environment. Apply optimize configurations for different servers as per available resources is a tedious task to achieve high throughput with low latency. In this paper we have described the studied methodology of machine learning, which will guide how optimize all the parameters with the best results in terms of web usability.
An Investigation into Techniques used for Fetal Health Classification
Authors: Chaturvedi Megha , Agrawal Shikha , Silakari Sanjay
Published: March 2022

The natural birth of a mentally and physically sound child is the yearning of all mothers. Still, perinatal mortality is a huge concern that needs immediate heed. Prenatal attention towards the well-being of the mother and the child plays a vital role in this regard. Early detection of any abnormalities can give further insights into the pregnancy and will provide more time to parents and doctors to prepare for these unnatural circumstances. Cardiotocography (CTG) is a technique used for monitoring fetal heart rate, it is widely used to ensure fetal well-being during pregnancies at high risk. Usage of machine-learning techniques can automate this task and can reduce the chances of diagnostic errors. Deep Learning also has powerful algorithms for learning complicated characteristics and higher-level semantics. The principal objective of this paper is to dissect the boundaries of different classification algorithms and contrast their prescient exactnesses to discover the best classifier for ordering fetal wellbeing
Facial Emotion Recognition as Spatial Image using Gabor Filter
Authors: Luharuka Shubham , R Meghana , K J Pallavi , S Manek Asha
Published: March 2022

The state of mind of a person can be easily understood from the human face. This paper proposes a methodology to recognize facial expression using Gabor filters, ResNet and two other custom models. The image is taken as the input data from the camera. This input can be used to extract information to infer a person's mood. First, we develop an algorithm for detecting image of an individual from entire set of images using Haar Cascade face detection algorithm. Then, we apply Gabor filter for extracting facial features in the spatial domain. Using the Gabor filter can effectively reduce computation and size, and in some situations even improve recognition. Gabor filters are used to capture the entire frequency spectrum in all directions. Finally, facial expressions are successfully classified by proposed Convolutional Neural Network model using extracted important facial features from the facial image after applying Gabor filter as input. The results of testing images from the CK+ dataset show the reliability and the best recognition rate of the proposed method.
Aspect Category Detection
Authors: Patel Ritul , Bhoi Dhaval , Thakkar Dr. Amit
Published: March 2022

The major subtask of Sentiment analysis based on aspects (ABSA) is the category of aspectdetection (ACD). Due to the subjectivity inherent in categorizing, as well as the occurrence of overlapping classes, it is a difficult challenge to solve. Rule-based techniques, as well as other machine learning approaches, have been used to tackle ACD, and a majority of them are statistical behavior. We employed an association rulebased method in this article. We developed a mixed principle strategy that incorporates both association rule mining and semantics associations to address the statistical limitations of association rules. We employed the concept of word-embed for semantic linkages. The experiments were carried out using the SemEval dataset, which is a standardized set of data for categorizing features industry. We discovered how semantic connections could help to enhance classification accuracy by complementing statistical associations. The proposed method outperforms several statistical methods.
Object Detection Techniques based on Deep Learning: A Review
Authors: Namdev Utkarsh , Agrawal Shikha , Pandey Rajeev
Published: March 2022

Object detection is a computer technique that searches digital images and videos for occurrences of meaningful subjects in particular categories (such as people, buildings, and automobiles). It is related to computer vision and image processing. Two well-studied aspects of identification are facial and pedestrian detection. Object detection is useful in a wide range of visual recognition tasks, including image retrieval and video monitoring. The object detection algorithm has been improved many times to improve the performance in terms of speed and accuracy. “Due to the tireless efforts of many researchers, deep learning algorithms are rapidly improving their object detection performance. Pedestrian detection, medical imaging, robotics, self-driving cars, face recognition and other popular applications have reduced labor in many areas.” It is used in a wide variety of industries, with applications range from individual safeguarding to business productivity. It is a fundamental component of driver assist systems and driverless cars, which allows automobiles to identify driving lanes and pedestrians to avoid any accidents.
Use of Digital Technologies in Public Health Responses to Tackle Covid-19: the Bangladesh Perspective
Authors: Kumar Dey Samrat , Mehrin Khaleda , Akter Lubana , Akter Mshura
Published: March 2022

This paper aims to study the fight against COVID-19 in Bangladesh and digital intervention initiatives. To achieve the purpose of our research, we conducted a methodical review of online content. We have reviewed the first digital intervention that COVID-19 has been used to fight against worldwide. Then we reviewed the initiatives that have been taken in Bangladesh. Our paper has shown that while Bangladesh can take advantage of the digital intervention approach, it will require rigorous collaboration between government organizations and universities to get the most out of it. Public health can become increasingly digital in the future, and we are reviewing international alignment requirements. This exploration also focused on the strategies for controlling, evaluating, and using digital technology to strengthen epidemic management and future preparations for COVID-19.
Modular and Didactic Compiler Design with Xml Inter-Phases Communication
Authors: Navas-López Eduardo Adam
Published: March 2022

In Compiler Design courses, students learn how a program written in high level programming language and designed for humans understanding is systematically converted into low level assembly language understood by machines, through different representations. This article presents the design, educative characteristics and possibilities of a modular and didactic compiler for a Pascal-like programming minilanguage that is super-set of Niklaus Wirth's PL/0. The main feature is that it implements the compiling phases in such a way that the information delivered to each next one may be reflected as an XML document, which can be studied separately. It is also shown that its design is suitable for being included as learning tool into compiler design courses. It is possible to implement a compiler in a high-level language like Python.
Accuracy of Garmin GPS Running Watches over Repetitive Trials on the Same Route
Authors: Dumas Joe
Published: March 2022

Many runners use watches incorporating Global Positioning System technology to track their workouts. These devices can be valuable training aids, but they have limitations. For several reasons including variations in satellite position, environmental factors, and design decisions made by the manufacturer, GPS-enabled watches can produce position measurement errors. These can result in incorrect estimations of total distance covered as well as running pace. This study examined the accuracy of three Garmin running watches of different technological generations using repetitive trials, over several years, by the same runner over the same route. The older watches, a Forerunner 205 and a Forerunner 220, showed similar accuracy when traversing the route. The newer generation watch, a Forerunner 45S, was found to be significantly less accurate in terms of both the trueness and precision of its distance measurements. This may indicate that Garmin, in competition with other manufacturers of similar devices, has chosen in recent years to prioritize device miniaturization and battery life over accuracy.
Safely Scaling Virtual Private Network for a Major Telecom Company during A Pandemic
Authors: Roberson Shannon , Abdus Salam Mohammad , Kourouma Mathieu , Kandara Osman
Published: March 2022

VPN usage across the world has increased due to the COVID-19 pandemic. With companies trying to lay the course through this unfamiliar state, corporations had to implement a Business Continuity Plan which included several elements to maintain a scalable and robust VPN connection. During this time of uncertainty, best practices need to be deployed by corporations and government entities more than ever. The purpose of this study is to highlight the necessary path SD Telecom would take to ensure a secure, reliable network during global traffic surge. Specific VPN solutions, access needs, and eligibility requirements vary based on the end user. The question being investigated is: How does a major telecom company carefully extent VPN services during a novel pandemic? It is hoped this study will inform Information Security personnel and employees about the process and procedures for scaling VPN during a major crisis.
Encryption based Watermarking Technique for Security of Medical Image
Authors: Daham Abderrahmane , ouslim Mohamed
Published: March 2022

This paper proposes an encryption-based image watermarking scheme for medical images using a customized quantization of wavelet coefficient and a crypto system based on the chaotic cipher of Singular Value Decomposition (SVD). In order to spread the robustness of our algorithm and provide extra security, an improved SVD-CHAOS embedding and extraction procedure has been used to scramble the watermark logo in the preprocessing step of the proposed method. In the process of watermark embedding, an R-level discrete wavelet transform was applied to the host image. The high frequency wavelet coefficients are selected to carry these scrambled-watermarks by using adaptive quantization low bit modulation (LBM). The proposed image watermarking method endures entirety attacks and rightly extracts the hidden watermark without significant degradation in the image quality, Thus, when the Peak Signal to Noise Ratio (PSNR) and Normalized Correlation (NC) performance of the proposed algorithm is compared with other related techniques.
Feature Extraction Methods for IRIS Recognition System: A Survey
Authors: Qadir Tara Othman , Afifi Md Taujuddin Nik Shahidah , Naqeeb Khan Sundas
Published: March 2022

Protection has become one of the biggest fields of study for several years, however the demand for this is growing exponentially mostly with rise in sensitive data. The quality of the research can differ slightly from any workstation to cloud, and though protection must be incredibly important all over. Throughout the past two decades, sufficient focus has been given to substantiation along with validation in the technology model. Identifying a legal person is increasingly become the difficult activity with the progression of time. Some attempts are introduced in that same respect, in particular by utilizing human movements such as fingerprints, facial recognition, palm scanning, retinal identification, DNA checking, breathing, speech checker, and so on. A number of methods for effective iris detection have indeed been suggested and researched. A general overview of current and state-of-the-art approaches to iris recognition is presented in this paper. In addition, significant advances in techniques, algorithms, qualified classifiers, datasets and methodologies for the extraction of features are also discussed.
Measuring Sustainable Development Education for Information Technology Education Program Review using Staunch© Criteria Instrument
Authors: Shafiihuna Haufiku Martin , Mohamad Yatim Maizatul Hayati
Published: March 2022

This article explains the results of a study that focuses on measuring Sustainable Development (SD) education for Information Technology Education (ITE) program review in UPSI. A Sustainable Development Education Model (SDEM) was constructed in this study using two integration approaches, namely a horizontal integration and a vertical integration. Both integration approaches were used to measure courses offered in the existing program with selected courses on the implementation of the SD education. The SD education in the selected programming and networking courses was measured using a self-assessment of sustainability criteria based on the Sustainability Tool for Assessing Universities Curricula Holistically (or STAUNCH©). STAUNCH© is an analytical software used to analyze courses and academic programs across all disciplines specifically on assessing the contribution of their curricula to SD. The software analyzed two parts of SD education evaluation which are curriculum evaluation and concept evaluation, using descriptive statistics with percentage cross-tabulation method. The results from the first part show that there is a normal distribution in ESD contribution by each course and a low indication on the grade strength for SD contribution in curriculum evaluation. The results from the second part show that there is a high importance to agree on the components used in the design of SD integration concept and an average rate of SD integration into the curriculum. For the teaching and learning method used, it was found that a cross-disciplinary approach, a mix-method approach, and a project-based learning (PBL) is extremely important for the successful SD integration into the curriculum. The study concludes that upon measuring the selected programming and networking courses in the ITE program, the SD integration within these courses are above average and necessary steps are needed to be taken accordingly. The study implies that SD education not only benefits the curriculum provider, but also the students because they are the future inheritors of technology as it benefits a sustainable future.
The Results of The Blended Learning Activities Course of Innovation and Information Technology for Communication and Learning
Authors: Rattanaphant Thanatcha , Roekmongkol Senawee
Published: March 2022

The objectives of this research were: 1 ) to find the effectiveness of the blended learning management activity package 2) to compare the learning achievement 3) to study memory retention and 4) to study the satisfaction with the blended learning activities. The research sample consisted of 3 0 1 st year students enrolled in the Innovation and Information Technology for Communication and Learning course in the 2 nd semester of the academic year 2 0 2 0 in the Major of General Science, Faculty of Education, Rajabhat Nakhon Si Thammarat University. The research tools were: 1) a blended learning management activity package, and 2 ) an online questionnaire on the satisfaction of the learners with the blended learning activities. The statistics used in the data analysis were mean, S. D. and hypothesis testing using t-test Dependent. 1) The developed efficiency was 8 0 .5 8 /8 7 .6 7 , which was the efficiency according to the specified criteria 8 0 /8 0 . 2 ) The statistically significant comparison of the learning achievement after receiving the learning management was higher than before the learning management at the .05 level. 3) The study of memory retention after 2 weeks of learning management was not significantly different at the .05 level and 4) The overall of the satisfaction blended learning activities were at the highest level.
Network Media Attention and Green Technology Innovation
Authors: Lingxiao Long , Yipeng Fan
Published: March 2022

This paper will provide a novel empirical study for the relationship between network media attention and green technology innovation and examine how network media attention can ease financing constraints. It collected data from listed companies in China's heavy pollution industry and performed rigorous regression analysis, in order to innovatively explore the environmental governance functions of the media. It found that network media attention significantly promotes green technology innovation. By analyzing the inner mechanism further, it found that network media attention can promote green innovation by easing financing constraints. Besides, network media attention has a significant positive impact on green invention patents while not affecting green utility model patents.
A Robust Three-Stage Hybrid Framework for English to Bangla Transliteration
Authors: Ahmed Rizvee Redwan , Mahmood Asif , Shams Mullick Shakur , Hakim Sajjadul
Published: March 2022

Phonetic typing using the English alphabet has become widely popular nowadays for social media and chat services. As a result, a text containing various English and Bangla words and phrases has become increasingly common. Existing transliteration tools display poor performance for such texts. This paper proposes a robust Three-stage Hybrid Transliteration (THT) framework that can transliterate both English words and phonetic typed Bangla words satisfactorily. This is achieved by adopting a hybrid approach of dictionary-based and rule-based techniques. Experimental results confirm superiority of THT as it significantly outperforms the benchmark transliteration tool.
A Proactive Greedy Routing Protocol Precludes Sink-Hole Formation in Wireless Sensor Networks
Authors: S. A. Mustafa Mayada , M Ali Borhanuddin , Rasid MFA , J. Hashim Shaiful , I. A. Saeed
Published: March 2022

A tree topology is a commonly employed topology for wireless sensor networks (WSN) to connect sensors to one or more remote gateways. In many-to-one traffic, routing imposes a heavy burden on downstream nodes, as the same routes are repeatedly used for packet forwarding from one or more sensor chains. The challenge is traffic paths that ensure balanced energy consumption at sink-hole to protect sensors from fast death. This paper proposes an energy consumption pattern-aware greedy routing protocol that proactively protects many-to-one topology from the sink-hole formation. The proposed protocol, Energy Balance-Based Energy Hole Alleviation in Tree Topology (EBEHA-T), precludes energy hole formation rather than retrospectively responding to a hole detection. Updated status of variations in energy consumption patterns at the sink-hole and construction feature of joint nodes in the tree topology aids in routing decision. Performance evaluation of EBEHA-T against benchmark method RaSMaLai shows increased energy-saving across the entire network and a marked improvement in energy consumption balance in energy hole zones. This precludes energy hole formation and the consequent network partitioning, leading to improved network lifetime beyond that of the RasMaLai.
ASERS-LSTM: Arabic Speech Emotion Recognition System Based on LSTM Model
Authors: Tajalsir ohammed , Hern´andez Susana Mu˜noz , Mohammed Fatima Abdalbagi
Published: March 2022

The swift progress in the study field of human-computer interaction (HCI) causes to increase in the interest in systems for Speech emotion recognition (SER). The speech Emotion Recognition System is the system that can identify the emotional states of human beings from their voice. There are well works in Speech Emotion Recognition for different language but few researches have implemented for Arabic SER systems and that because of the shortage of available Arabic speech emotion databases. The most commonly considered languages for SER is English and other European and Asian languages. Several machine learning-based classifiers that have been used by researchers to distinguish emotional classes: SVMs, RFs, and the KNN algorithm, hidden Markov models (HMMs), MLPs and deep learning. In this paper we propose ASERS-LSTM model for Arabic Speech Emotion Recognition based on LSTM model. We extracted five features from the speech: Mel-Frequency Cepstral Coefficients (MFCC) features, chromagram, Melscaled spectrogram, spectral contrast and tonal centroid features (tonnetz). We evaluated our model using Arabic speech dataset named Basic Arabic Expressive Speech corpus (BAES-DB). In addition of that we also construct a DNN for classify the Emotion and compare the accuracy between LSTM and DNN model. For DNN the accuracy is 93.34% and for LSTM is 96.81%.
Local Distance and Dempster-Dhafer for Multi-Focus Image Fusion
Authors: Wahyuni Ias Sri , Sabre Rachid
Published: March 2022

This work proposes a new method of fusion image using Dempster-Shafer theory and local variability (DST-LV). This method takes into account the behaviour of each pixel with its neighbours. It consists in calculating the quadratic distance between the value of the pixel I (x, y) of each point and the value of all the neighbouring pixels. Local variability is used to determine the mass function defined in DempsterShafer theory. The two classes of Dempster-Shafer theory studied are : the fuzzy part and the focused part. The results of the proposed method are significantly better when comparing them to results of other methods.
ĐÁNH GIÁ KẾT QUẢ VÁ NHĨ ĐƠN THUẦN QUA NỘI SOI ĐIỀU TRỊ VIÊM TAI GIỮA MẠN TÍNH ỔN ĐỊNH CÓ THỦNG MÀNG NHĨ TẠI BỆNH VIỆN ĐA KHOA THÀNH PHỐ CẦN THƠ VÀ BỆNH VIỆN TRƯỜNG ĐẠI HỌC Y DƯỢC CẦN THƠ NĂM 2019-2021
Authors: Triều Việt Nguyễn , Huỳnh Phương Thảo Trần , Hữu Nghị Dương
Published: March 2022

Mục tiêu: Mô tả đặc điểm lâm sàng, cận lâm sàng và đánh giá kết quả điều trị phẫu thuật vá nhĩ đơn thuần qua nội soi bằng màng sụn nắp bình tai. Đối tượng và phương pháp: Nghiên cứu tiến cứu có can thiệp lâm sàng trên 71 bệnh nhân từ 16 tuổi trở lên được chẩn đoán VTGMT ổn định có thủng màng nhĩ được điều trị phẫu thuật vá nhĩ đơn thuần qua nội soi bằng màng sụn nắp bình tai. Địa điểm tại Bệnh viện Đa khoa Thành Phố Cần Thơ và Bệnh viện Trường Đại học Y Dược Cần Thơ. Thời gian từ tháng 02-2019 đến tháng 04-2021. Kết quả: Có 71 trường hợp được đưa vào nghiên cứu, trong đó có 52 nữ và 19 nam, Nhóm tuổi từ 16 – 50 tuổi chiếm tỷ lệ cao nhất 67,6%; còn lại nhóm bệnh nhân trên 50 tuổi chiếm 32,4%, độ tuổi trung bình của nhóm nghiên cứu là 44,27 ± 13,4 tuổi. Tỷ lệ lành màng nhĩ sau 1 tháng là 94,4% và sau 3 tháng thì tỷ lệ lành tăng lên là 97,2%. Mức độ giảm thính lực trung bình trước mổ là 40,66 ± 12,44 dB, thính lực trung bình cải thiện sau 3 tháng còn 27,62 ± 9,17 dB. Kết luận: 97,2% bệnh nhân có triệu chứng chảy dịch tai trong tiền sử. Tỷ lệ lành màng nhĩ sau 1 tháng là 94,4% và sau 3 tháng thì tỷ lệ lành tăng lên là 97,2%. Sau 3 tháng phẫu thuật vá nhĩ đơn thuần thì thính lực trung bình cải thiện từ 40,66dB ± 12,44 còn 27,62 ± 9,17 dB.
KHẢO SÁT MẬT ĐỘ XƯƠNG BẰNG PHƯƠNG PHÁP DEXA Ở BỆNH NHÂN VIÊM THẬN LUPUS
Authors: Việt Hoà Trần , Bùi Quý Quyền Đào , Trung Vinh Hoàng
Published: March 2022

Mục tiêu: Khảo sát mật độ xương bằng X-quang năng lượng kép (DEXA) ở người bệnh viêm thận lupus ban đỏ hệ thống đã và đang điều trị corticoid kéo dài. Đối tượng và phương pháp: Nghiên cứu cắt ngang trên 83bệnh nhân được chẩn đoán viêm thận lupus. Tất cả các bệnh nhân được đo mật độ xương để đánh giá tình trạng thiếu xương, loãng xương bằng phương pháp DEXA. Kết quả: Tuổi trung bình nhóm bệnh nhân viêm thận lupus là 28,13 ± 9,21, tỷ lệ nam là 13,3%, nữ chiếm 86,7%. Thời gian điều trị steroid trung bình là 39,44 ± 43,74 tháng.Giá trị trung bình của mật độ xương tại cổ xương đùi là 0,72 ± 0,15 g/cm2; ở vùng chậu là 0,82 ± 0,17 g/cm2. Tỷ lệ bệnh nhân thiếu xương chiếm 38,55%, loãng xương chiếm 8,44%. Kết luận: Giảm mật độ xương là biểu hiện hay gặp ở bệnh nhân viêm thận lupus.
ĐÁNH GIÁ HIỆU QUẢ ĐIỀU TRỊ CỦA BÀI THUỐC “BẠCH PHỤ THANG” TRÊN BỆNH NHÂN TĂNG SINH LÀNH TÍNH TUYẾN TIỀN LIỆT
Authors: Mạnh Cường Lê , Minh Sơn Dương
Published: March 2022

Mục tiêu: Đánh giá hiệu quả điều trị của bài thuốc “Bạch Phụ thang” trên bệnh nhân tăng sinh lành tính tuyến tiền liệt. Đối tượng và phương pháp: 60 bệnh nhân tăng sinh lành tính tuyến tiền liệt Bệnh viện YHCT Trung ương. Đối tượng nghiên cứu được phân ngẫu nhiên làm 2 nhóm, dùng Bạch Phụ thang và dùng Xatral trong 30 ngày. Thang điểm IPSS, thang điểm QoL, lưu lượng nước tiểu trung bình và thể tích nước tiểu tồn dư được dùng để đánh giá hiệu quả điều trị. Kết quả: Bài thuốc “Bạch Phụ thang” làm giảm thang điểm IPSS, cải thiện thang điểm điểm chất lượng cuộc sống QoL, cải thiện các chỉ số về niệu động học, làm tăng lưu lượng nước tiểu, giảm thể tích nước tiểu tồn dư. Kết luận: Bài thuốc “Bạch Phụ thang” có tác dụng cải thiện tốt các triệu chứng về rối loạn tiểu tiện trên bệnh nhân tăng sinh lành tính tuyến tiền liệt.