bluuebunny/crossref_metadata_2025 huggingface dataset:
Effective Image Quality Inspection Based on Color and Texture Features
Authors:   Department of Software, Anyang University, Anyang, South Korea, Jang* Seok-Woo , Lee* Sang-Hong ,   Department of Computer Engineering, Anyang University, Anyang, South Korea.
Published: February 2020

As people’s interest in software increases, the number and types of newly developed applications increase day by day. Therefore, there are attempts to automatically check whether the newly developed interface of these programs works correctly through image processing instead of manually. In this paper, we describe a strategy to robustly detect execution error screens of applications through comparative analysis of key features from various kinds of image scenes. In the approach described in this study, we extract the main multiple features representing the image. Then, by comparing the difference of the extracted multiple features, it is effectively determined whether the image is the same normal image as the reference image or an error image similar to the target image but different from each other. Experimental results verify that the described algorithm accurately detects normal and faulty images by comparing the main multiple features from various types of images. For performance evaluation, we quantitatively compared the performance of the introduced dissimilar region extraction strategy with those of other conventional methods. The existing methods of extracting similarity between images based on one feature or histogram comparison mostly lack information to sufficiently express the entire image. Therefore, when similar areas between two images are extracted, many errors occurred due to incorrect matching. However, the proposed multiple feature-based method obtains richer information by extracting multiple features from the input image. In addition, because the matching is done based on this information, the accuracy is relatively high. The approach introduced in this study is expected to be effectively used in many practical applications related to image processing such as image retrieval, trademark comparison, video security, application quality inspection, etc.
Multi-Model Ensemble Depth Adaptive Deep Neural Network for Crop Yield Prediction
Authors:   Department of Computer Science, Erode Arts and Science College, Erode Arts and Science College, Erode, Bharathiar University. TamilNadu, India., Saranaya* M. , Sathappan Dr. S. ,   Department of Computer Science, Erode Arts and Science College, Erode Arts and Science College, Erode, Bharathiar University. TamilNadu, India.
Published: February 2020

Accurate prediction of crop yield enables critical tasks such as identifying the optimum crop profile for planting, assigning government resources and decision-making on imports and exports in more commercialized systems. In past few years, Machine Learning (ML) techniques have been widely used for crop yield prediction. Deep Neural Network (DNN) was introduced for crop yield. The crop yield prediction accuracy based on DNN was further improved by Multi-Model DNN (MME-DNN). It predicted the crop yield by modeling climatic, weather and soil parameters through statistical model and DNN. The MME-DNN is not scalable when new data appears consecutively in a stream form. In order to solve this problem, an Online Learning (OL) is introduced for crop yield prediction. In OL, DNN is learned in an online setting which optimizes the objective function regarding shallow model. But, a fixed depth of the network is used in ODL and it cannot be changed during the training process. So, Multi-Model Ensemble Depth Adaptive Deep Neural Network (MME-DADNN) is proposed in this paper to adaptively decide the depth of the network for crop yield prediction. A training scheme for OL is designed through a hedge back propagation. It automatically decides the depth of the DNN using Online Gradient Descent (OGD) in an online manner. Also, a smoothing parameter is introduced in OL to set a minimum weight for every depth of DNN and it also contributes a balance between exploitation and exploration. The crop yield is predicted from the soil, weather and climate parameters and their variation over four years by applying the MME-DADNN. Thus, by adaptively changing the depth of the DNN the performance of crop yield prediction is enhanced.
Development of Smart Pesticide Spraying Robot
Authors:   Department of Mechatronics & Robotics, Koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Guntur (Andhra Pradesh) India., Chaitanya* Pvr , Kotte Dileep ,   Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Guntur (Andhra Pradesh) India., Srinath Dr. A. ,   Professor & HOD, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Guntur (Andhra Pradesh) India., Kalyan K. B. ,   Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Guntur (Andhra Pradesh) India.
Published: February 2020

India is the farmland with a population of three-fourths in agriculture. In accordance with the climate and other resources accessible to them, farmers will grow multiple plants in their field. But some technical abilities along with technological assistance are required to achieve high output and excellent quality. The management of food crops includes very close surveillance, particularly with regard to the treatment of Illnesses, which will cause severe effects after harvest. Disease is recognized in crops as the shift or deficiency of the plants ordinary functions that will generate certain symptoms. The disease that causes agents in plants is mainly defined as any agent’s pathogens Most of these pathogenic agents signs are seen in the leaves, stems and branches of the crops. Consequently, the diagnosis of disease and the proportion of disease produced in crops is compulsory for effective and successful plant cultivation. This can be done through taking input images using camera, analyzing them using machine learning process. This displays the disease presented on the leaf, stem or plant. This also displays the exposed area to disease and also predicts the remedies, turn on the pesticide sprayer which sprays the respective pesticide on the exposed area to disease. This is very necessary for effective spraying of the pesticide. The movement of robot is done with L293d motor driver and the processor or embedded system is done through Raspberry pi3. We use python code for machine learning which trains the robot with pre-defined images. Since this can be controlled from anywhere without working in the field and being exposed to pesticides, it will be a profit for the farmer. He will stay unaffected by his health condition.
A Framework for the Classification Task of Recognizing Weather Condition in an Image using Supervised Learning Methods
Authors:   CSE, V R Siddhartha Engineering College, Vijayawada, India., Pulipaka* Divya , Sobhana Dr. M. ,   CSE, V R Siddhartha Engineering College, Vijayawada, India., Chinta Mukesh ,   CSE, V R Siddhartha Engineering College, Vijayawada, India., chowdary Dr. Chaparala smitha ,   Associate Professor, Department of CSE, Koneru Lakshmaiah Education Foundation, Green Fields, Guntur District, Vaddeswaram, (Andhra Pradesh), India.
Published: February 2020

The supervised learning methods are widely used in research area to predict very useful things and inference something from data. In this paper, we aim to predict weather condition in a given image/picture by using advanced supervised learning algorithms and various descriptors. The prediction of weather conditions from the image can be challenging and complicated in situations where large data sets are considered. In addition, for our purpose, we have separated train, validation and test images. And, in other words, we will classify an image into five classes as Cloudy, sunny, foggy, wet and snowy. The proposed methodology consists of four steps, pre-processing of the image was done in the first phase, extraction of the different features in the second phase. n the third phase of our methodology classification was carried out by applying the specified classification models to an input image. Finally, validation was performed for given classification results. The ultimate purpose of the knowledge obtained from the study is to developing a framework for the classification of recognizing weather condition using supervised learning methods are CNN, SVM, Random Forest, and Decision Tree.
PAP: Priority Aware Protocol for Healthcare Applications in Wireless Body Area Network
Authors:   Professor and Chairperson, Department of Computer Science & Engineering, Deenbandhu Chotu Ram University of Science and Technology. Haryana, India., Sandhu* Archana , Malik Amita ,   Pursuing Ph.D Department of Computer Applications, Deenbandhu Chotu Ram University of Science and Technology, Murthal, Sonepat, Haryana, India.
Published: February 2020

Wireless Body Area networks (WBANs) are among the emerging research areas that supports healthcare applications. These are getting popular as they provide features like flexibility, mobility and real-time monitoring. But due to this real time monitoring and criticality of data, WBAN requires a highly secure and reliable communication. Further, the medical emergency requires the instant information while the regular activity can’t be ignored. Therefore, this paper has proposed a reliable and optimized protocol, namely, Priority Aware Protocol (PAP) for WBAN. It transfers the data efficiently based on the priority of the data. PAP associates two priority values with each node i.e. fixed priority and dynamic priority. Fixed priority is computed according to the task assigned to the node while dynamic priority is computed on the basis of the data sensed by the node. The performance of proposed protocol has been compared with existing state of art techniques like DPPH, HOCA and IEEE 802.15.4 standard on the basis of throughput and end-to-end delay. The results show that the proposed PAP outperforms existing techniques.
Resonance Image Enhancement using Hybrid Center Weighted Median Filter and Bacteria Foraging Optimization
Authors:   Department of Information Technology, Higher College of Technology, Muscat, Sultanate of Oman., Ephrem* Ben George , Shaik Shabbeer ,   Department of Information Technology, Higher College of Technology, Muscat, Sultanate of Oman., Abbas* Mohamed ,   Department of Computer Science and Information Technology, Mazoon College, Muscat, Sultanate of Oman., Basha Saleem ,   Department of Computer Science and Information Technology, Mazoon College, Muscat, Sultanate of Oman.
Published: February 2020

Magnetic Resonance Image (MRI) is the best imaging technique employed nowadays for diagnosing brain tumour in the initial stage. This paper recommends an unique method for the brain MR image enhancement, that is centred on the Hybrid Center Weighted Median (HCWM) filter and Bacteria Foraging Optimization (BFO). The MR image for this research is obtained from the online and it is pre-processed to remove all the film artifacts. After that the high frequency components are eliminated from the MR brain image by means of a newly proposed HCWM filter. HCWM Filter is the hybrid filter derived by combining the Center Weighted Median Filter and the Weiner Filter. The swarm-based intelligence algorithm called the bacteria foraging optimization is used to predict the weights of the filter dynamically. The performance of the proposed filtering approach is evaluated with the other available filtering methods.
Efficient Task Scheduling for Quality of Service in Cloud Computing Network
Authors:   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India,, Srikar* Dupati , Manoranjitham T. ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India,
Published: February 2020

Task scheduling in cloud is the process of allocating a resource to a task at specific time. The allocation of limited cloud resources to large number of tasks to satisfy the required quality of service is the key challenge in cloud. Allocation of a resource with less capability to a task increases the response time, makespan of the task and waiting time of the entire tasks in the waiting queue. This problem will result to an unsatisfied Quality of Service. In this paper we proposed an efficient task scheduling that uses three threshold values to specify the resource to be allocated to a task at a given time. This method ensures that a capable resource is allocated to task such that the response time and makespan of the all task are minimized. The proposed method was simulated using CloudSim and the result shows a better response time and makespan than the well known Min-Min and Max-Min Method.
Enhancement of Commercial Grade VLSI Chips into Industrial Grade using a Novel Thermal Monitoring and Control Technique
Authors:   Deparrment of Electronics and Telecommunication, Rajaramabapu Institute Of Technology, Sangli, India., Magadum* Sachin , Guhilot Hansraj ,   Department of Electrical Engineering, Visvesvaraiya Technological University, Belagavi, India.
Published: February 2020

The aerospace and military applications demanding low cost, high performance, reliable computing chips at low operating temperature environment. In the proposed work a cost-effective solution has developed with novel mechanism to enhance use of commercial grade VLSI chips for industrial grade applications. Here the commercial grade FPGA worked satisfactorily beyond its lower temperature range typically up to -15°C. A thermoelectric cooler is used for temperature grade extension along with temperature sensor and TDC. A fully digital onchip temperature sensor based on delay line is implemented on FPGA. The TDC used, provides a digital equivalent of variation in delay due to change in temperature with time resolution of 213ps and temperature resolution of 0.06°C throughout the operating range.
Design and Empirical Exploration for Second Trimester Period using Markov Process
Authors:   Mathematics Division, School of Advanced Sciences, Vellore Institute of Technology. Chennai, India., M.* Mancy K. , C.* Vijayalakshmi ,   Mathematics Division, School of Advanced Sciences, Vellore Institute of Technology. Chennai, India.
Published: February 2020

This research investigates the conditioned level in the mid-gestation period using stochastic model such as Markov process which requires the Monte Carlo simulation to get the intended results. The simulation in fetal stages addresses the influence of possible risk factor in different levels. The abnormal conditioned in mid-pregnancy that affects the behavioral randomness of the fetal development. The equation of the data implement through the Monte Carlo equation. Empirical Analysis has showed in the behavioral changes of fetal development during mid-gestation.
Sentiment Analysis using Artificial Neural Network
Authors:   Computer Science and Engineering, University Institute of Engineering and Technology, Kurukshetra University (Kurukshetra), Kurukshetra, India., Niharika*  , Malhotra Sona ,   Computer Science and Engineering, University Institute of Engineering and Technology, Kurukshetra University University (Kurukshetra), Kurukshetra, India.
Published: February 2020

In the modern era, there are massive amount of web resources present such as blogs, review sites and discussion forums. These resources form the platform where users can share their opinions or reviews` about anything whether it is a product, movie or a restaurant. Analysis of public sentiments deals with the determination of the polarity of different public opinions or reviews into either the category of positive, negative or neutral. Thus, there comes the need of sentiment analysis which not only helps other individual to make a decision regarding buying a product, visiting a restaurant or watching a movie but also helps the producers of various products and owners of different restaurants to gain the knowledge of preferences of customers, so that it could be possible to increase the profit and economic value. The paper presents a survey with main focus on performance of different artificial neural networks used for opinion mining or sentiment analysis while it also includes various machine learning approaches such as Naïve Bayes, Support Vector Machine, lexicon-based approach and Maximum Entropy.
Fraud Detection in Health Insurance Claims using Machine Learning Algorithms
Authors:   Department of CSE, Koneru Lakshmaiah Education Foundation, Vineela* D. , Swathi P. ,   Department of CSE, Koneru Lakshmaiah Education Foundation, Sritha T. ,   Department of CSE, Koneru Lakshmaiah Education Foundation, Ashesh K. ,   Department of CSE, Koneru Lakshmaiah Education Foundation
Published: February 2020

Fraud can be spread broadly and it is extremely costly to the therapeutic protection framework. Unscrupulous protection might be a case created to cover up or twist information that is intended to deliver social insurance edges. Cheats might be of the numerous sorts and submitted by the protection guarantor or the safeguarded. The unscrupulous social insurance providers are the reason for extortion in the wellbeing segment. The commitment of this case misrepresentation discovery is Associate in nursing trial study on extortion recognizable proof and exploitative examples. Along these lines, to identify the misrepresentation information handling procedures are utilized. For the most part essential based oddities are implemented exploitation applied math call rules and k-means, rule based mining and affiliation rule bolstered appropriation calculations are applied. Through these abnormalities the extortion in certifiable information is recognized. Be that as it may, there might be a great deal of progress done by exploitation various information handling procedures. In this way the arranged methodology has been assessed basing on the protection information and furthermore the trial results from our methodology are efficient in human services misrepresentation. Other self-advancing misrepresentation location ways can likewise be applied on this protection information.
Dual Motor Control using Double Zero Sequence Injection Method in Five Leg Voltage Source Inverter
Authors:   Electrical Engineering Department, VTU Belagvi, Karnataka, India., Sabarad* Jaya Prakash , Kulkarni Dr.G.H ,   department, Electrical Engineering Department,, Jain College of Engineering, Belagavi,India
Published: February 2020

This paper presents in to Dual Motor Control using double zero sequence injection method in 5- leg voltage source inverter. As industry looking for reducing the semiconductor switching devices, like IGBT/MOSFET’s in dual induction motor control. The main reason behind reducing the switching elements to reduce the weight, cost and size of the components. As conventional inverter require six inverter legs to control two induction motors. In this proposed work five inverter legs used instead of six legs in dual motor control. With this reduced one leg, two switching devices will be reduced and one phase of the inverter leg is common between the two motors, so called five leg inverter (FLI). The main switching methodology used for inverter control is Carrier based Double Zero Sequence Injection Method (DZSM). This Double Zero Sequence Injection Method applied to FLI system is having the one common leg. One of the C Phase modulation signal added to other modulating signals of all phases of other motor respectively. A subsequent each phase degree of freedom is represented by the zero-sequence signal. This paper investigates the independent speed control of dual induction motors at different speeds connected to five leg voltage source inverter system, using MATLAB/SIMULINK Software.
Design and Implementation of Wireless Robotic Arm Model using Flex and Gyro Sensor
Authors:   Assistant Professor, Electronics and communication Engineering department, GITAM University, Bangalore campus., N* Anughna , V Ranjitha ,   Assistant Professor, Computer Science Engineering department, GITAM University, Bangalore campus, G Tanuja ,   Assistant Professor, Electronics and communication Engineering department, GITAM University, Bangalore campus.
Published: February 2020

In this day and age there is an expanding need to make artificial arms for different inhuman situations where human communication is troublesome or inconceivable. They may include taking readings from a functioning spring of gushing lava to diffusing a bomb. Here we propose to assemble a mechanical arm constrained by characteristic human arm developments whose information is procured using accelerometers. For appropriate control instrument and to lessen the measure of commotion rolling in from the sensors, legitimate averaging calculation is utilized for smoothening the yield of the accelerometer. The advancement of this arm depends on Arduino ATmega328 and which will all be interfaced with one another utilizing sequential correspondence. The automated arm structured here has six positions like both ways revolution, arm open and close, 90 and 180 degree tendencies working at 433Hz and can pick 150gms of weight . At last, the structured arm model pictures alongside table containing particulars is featured in results that might be required to conquer the issue, for example, putting or picking risky articles or non-dangerous items that are far away from the client.
Perfectionism, Depression, Anxiety, and Academic Performance in Premedical Students
Authors: Sevlever Melina , Rice Kenneth G.
Published: February 2020

This study examined differences in perfectionism, depression, anxiety, and academic performance between premedical (N = 104) and non-premedical (N = 76) undergraduate students. Results indicated that premedical students did not differ significantly from non-premedical students in perfectionistic self-criticism, personal standards perfectionism, depression, or anxiety. Perfectionistic high standards were not correlated with depression or anxiety for either group. Self-critical perfectionism was positively correlated with depression and anxiety, with comparable effect sizes, for both groups of students. Premedical students and non-premedical students drastically differed in their reported academic performance (GPA). For premedical students, PS perfectionism was related to higher GPA, however PS perfectionism in non-premedical students had a negligible effect in increasing GPA. The implications of these results for interventions and future research are discussed.
A landscape analysis of leadership training in postgraduate medical education training programs at the University of Ottawa
Authors: Danilewitz Marlon , McLean Laurie
Published: February 2020

Background: There is growing recognition of the importance of physician leadership in healthcare. At the same time, becoming an effective leader requires significant training. While educational opportunities for practicing physicians exist to develop their leadership skills, there is a paucity of leadership opportunities for post graduate trainees. In response to this gap, both the Royal College of Physicians and Surgeons of Canada and the Association of Faculties of Medicine of Canada have recommended that leadership training be considered a focus in Post Graduate Medical Education (PGME). However, post-graduate leadership curricula and opportunities in PGME training programs in Canada are not well described. The goal of this study was to determine the motivation for PGME leadership training, the opportunities available, and educational barriers experienced by PGME programs at the University of Ottawa. Methods: An electronic survey was distributed to all 70 PGME Program Directors (PDs) at the University of Ottawa. Two PDs were selected, based on strong leadership programs, for individual interviews.Results: The survey response rate was 55.7%. Seventy-seven percent of responding PDs reported resident participation in leadership training as being “important,” while only 37.8% of programs incorporated assessment of resident leadership knowledge and/or skills into their PGME program. Similarly, only 29.7% of responding residency programs offered chief resident leadership training.Conclusions: While there is strong recognition of the importance of training future physician leaders, the nature and design of PGME leadership training is highly variable. These data can be used to potentially inform future PGME leadership training curricula.
The influence of globalization on medical regulation: a descriptive analysis of international medical graduates registered through alternative licensure routes in Ontario
Authors: Yen Wendy , Hodwitz Kathryn , Thakkar Niels , Martimianakis Maria (Tina) , Faulkner Dan
Published: February 2020

The increasing globalization of the medical profession has influenced health policy, health human resource planning, and medical regulation in Canada. Since the early 2000s, numerous policy initiatives have been created to facilitate the entry of international medical graduates (IMGs) into the Canadian workforce. In Ontario, the College of Physicians and Surgeons of Ontario (CPSO) developed alternative licensure routes to increase the ability of qualified IMGs to obtain licenses to practice. The current study provides demographic and descriptive information about the IMGs registered through the CPSO’s alternative licensure routes between 2000 and 2012. An analysis of the characteristics and career trajectories of all IMGs practicing in the province sheds light on broader globalization trends and raises questions about the future of health human resource planning in Canada. As the medical profession becomes increasingly globalized, health policy and regulation will continue to be influenced by trends in international migration, concerns about global health equity, and the shifting demographics of the Canadian physician workforce. Implications for future policy development in the complex landscape of medical education and practice are discussed.
Self Service Technologies: A Cause Of Unemployment
Authors: Otekhile Cathy-Austin , Zelený Milan
Published: February 2020

The self-service technologies(SSTs) are fast changing the conventional way of transacting business by business organisations. The rapid innovation of self-service technologies and its adoption and usages in all facets of human systems is acclaimed to be fast rendering low skilled workers jobless. The major sectors of the economy in advanced economies have reached their peaks and can no longer provide new employment due to an increase in the productivity growth rate as a result of technology advances. These SSTs have in no small measure brought about an increase in productivity growth rate, cost reduction and anincrease in the speed of service delivery to customers. This paper examines if self-service technologies truly are the cause of persistent unemployment through a study of the long term metamorphosis of the major economic sectors in advanced economies. This study revealed that the SSTs presents both risks and opportunities.
Faktor-Faktor yang Berhubungan dengan Kejadian Partus Lama di Puskesmas Jumpandang Baru Makassar Tahun 2017
Authors: Amir Fatmawati
Published: February 2020

Partus lama atau partus tak maju adalah salah satu penyulit dalam persalinan. Juga merupakan suatu masalah di Indonesia karena kita ketahui bahwa 80% dari persalinan masih ditolong oleh dukun. Dimana partus lama merupakan persalinan yang berlangsung lebih dari 24 jam pada primi dan lebih dari 18 jam pada multi. Dipengaruhi oleh beberapa factor diantaranya adalah factor umur, paritas, dan jarak kehamilan. Tujuan dalam penelitian ini adalah untuk mencari faktor-faktor yang berhubungan dengan kejadian partus lama di Puskesmas Jumpandang Baru Makassar Tahun 2017. Penelitian dilaksanakan pada tanggal 22 April s/d 28 April 2017 di Puskesmas Jumpandang Baru Makassar. Jenis penelitian ini adalah metode observasional dengan pendekatan Cross Sectional Study untuk melihat faktor-faktor yang berhubungan dengan kejadian partus lama. Populasi dalam penelitian ini adalah semua ibu bersalin yang berada di Puskesmas Jumpandang Baru Makassar pada bulan Maret-April 2017 sebanyak 48 orang. Sampel dalam penelitian ini adalah ibu bersalin yang mengalami partus lama dan berada di Puskesmas Jumpandang Baru Makassar pada bulan Maret-April 2017 sebanyak 48 orang dengan teknik pengambilan sampel secara Total Sampling. Hasil penelitian menunjukkan bahwa ada hubungan antara umur dengan kejadian partus lama. Hasil penelitian menunjukkan bahwa ada hubungan antara paritas dengan kejadian partus lama. Hasil penelitian menunjukkan bahwa ada hubungan antara interval kehamilan dengan kejadian partus lama. Diharapkan kepada pihak Puskesmas Jumpandang Baru Makassar agar melaksanakan setiap asuhan berdasarkan sistematika asuhan kebidanan sehingga dapat mengidentifikasi masalah pada ibu serta melakukan tindakan dengan cepat dan tepat terutama dalam tindakan partus lama.
Faktor-Faktor yang Berhubungan dengan Kejadian Preeklamsia Pada Ibu Hamil di RSKDIA Siti Fatimah Makassar
Authors: Astuti Anjar Tri
Published: February 2020

Berdasarkan data di RSKDIA Siti Fatimah Makassar tahun 2015, tercatat kejadian Preeklamsia sebanyak 80 orang dari 2521 ibu hamil. Tahun 2016 sebanyak 82 kasus dari 1426 ibu hamil, Data terakhir dari bulan Maret sampai Mei 2017 tercatat kejadian Preeklamsia sebanyak 27 orang dari 92 ibu hamil. Tujuan penelitian ini adalah untuk mengetahui hubungan antara umur ibu, paritas dan pemeriksaan ANC dengan kejadian Preeklamsia pada ibu hamil di RSKDIA Siti Fatimah Makassar. Penelitian ini menggunakan metode penelitian  analitik dengan pendekatan  cross sectional study, Populasi dalam penelitian ini adalah semua ibu hamil yang berkunjung  di RSKDIA Siti Fatimah Makassar dari bulan Maret sampai  Mei 2017 sebanyak 92 orang dan sampel pada penelitian ini sebanyak 92 orang dengan menggunakan tehnik total sampling . Hasil penelitian menunjukkan bahwa untuk umur kehamilan diperoleh nilai P=0.033 >α=0.050 artinya ada hubungan antara umur kehamilan terhadap kejadian preeklamsia pada ibu hamil di RSKDIA Siti Fatimah Makassar, untuk variabel paritas di peroleh nilai P=0.001 >α =0.050 artinya ada hubungan paritas terhadap kejadian preeklamsia di RSKDIA Siti Fatimah Makassar, untuk variabel pemeriksaan ANC di peroleh nilai P=0.436 >α =0.050 artinya tidak ada hubungan pemeriksaan ANC terhadap kejadian preeklamsia di RSKDIA Siti Fatimah Makassar. Kesimpulan dari ketiga variabel umur, paritas dan pemeriksaan ANC  hanya umur dan paritas yang memiliki hubungan dengan kejadian preeklamsia pada ibu hamil di RSKDIA Siti Fatimah Makassar sehingga diharapkan kepada ibu agar lebih intensif memeriksakan kehamilannya demi mencegah secara dini  terjadinya preeklamsia.
Faktor-Faktor yang Berhubungan dengan Kejadian Ketuban Pecah Dini di Rumah Sakit Ibu dan Anak Bahagia Makassar Tahun 2017
Authors: Subriyani St.
Published: February 2020

Data yang diperoleh dari Rumah Sakit Ibu dan Anak Bahagia Makassar 2015 sebanyak 814 orang, adapun persalinan dengan Ketuban Pecah Dini sebanyak 43 orang (5,28%), tahun 2016  875 orang, adapun persalinan dengan ketuban pecah dini yaitu sebanyak 22 orang (2,51%), dan bulan Januari s/d Juni 2017 sebanyak 441 orang, adapun persalinan dengan ketuban pecah dini yaitu sebanyak 38 orang (8,61%). Tujuan dari dilakukannya penelitian ini adalah untuk memperoleh informasi tentang "Faktor-faktor yang berhubungan dengan penyebab ketuban pecah dini di Rumah Sakit Ibu dan Anak Bahagia Makassar”. Penelitian ini menggunakan metode kuantitatif dengan pendekatan Croos Sectional Study untuk mengetahui hubungan umur, paritas, dan kehamilan ganda di Rumah Sakit Ibu dan Anak Bahagia Makassa dengan menggunakan tehnik Total Sampling dengan jumlah populasi 38 orang sama dengan jumlah sampel 38 orang. Dari hasil uji statistik dengan menggunakan uji Chi-Square (pearson chi-square) diperoleh untuk variabel umur ibu nilai P = 0,607 > ɑ 0,05 diperoleh bahwa tidak ada hubungan antara umur ibu dengan penyebab ketuban pecah dini di Rumah Sakit Ibu dan Anak Bahagia Makassar. Untuk variable paritas ibu nilai P = 0,429 > ɑ 0,05 diperoleh bahwa tidak ada hubungan antara paritas dengan penyebab ketuban pecah dini di Rumah sakit Ibu dan Anak Bahagia Makassar. Untuk variabel kehamilan ganda nilai P = 0,058 > ɑ 0,05 diperoleh bahwa tidak ada hubungan antara kehamilan ganda dengan penyebab ketuban pecah dini di Rumah Sakit Ibu dan Anak Bahagia Makassar. Kesimpulan dari tiga variable yaitu umur, paritas, dan kehamilan ganda tidak ada hubungannya dengan faktor-faktor penyebab ketuban pecah dini.Diharapkan pada peneliti selanjutnya dapat meneliti tentang faktor-faktor lain yang berhubungan dengan penyebab ketuban pecah dini.Karena perlu adanya peningkatan penelitian selanjutnya agar hasil yang diperoleh lebih baik lagi.
Enfoques educativos en escuelas primarias de Nuevo León, México: multiestudio de casos
Authors: Jaimes Donald
Published: February 2020

El presente estudio buscó conocer la manifestación de los enfoques educación como socialización, educación como conocimiento y educación como desarrollo de la persona en las actividades, en los procedimientos y en las interacciones cotidianas de las aulas del quinto grado de primaria en cuatro escuelas del centro y sureste de Nuevo León, México. Para la recolección de datos se usaron la observación, la entrevista y el análisis documental y para el análisis de los datos la triangulación de fuentes y el análisis de contenido. Se ha llegado a constatar que existe la manifestación no deliberada y no equilibrada de los tres enfoques educativos. El enfoque educativo de desarrollo de la persona se muestra bastante descuidado o sin la debida atención en la realidad práctica de los procesos educativos áulicos de las escuelas observadas. Hace falta un modelo educativo que integre y equilibre los tres enfoques educativos en las prácticas educativas áulicas de las escuelas actuales.
Creatividad verbal y rendimiento académico en estudiantes universitarios
Authors: Krumm Gabriela Liliana
Published: February 2020

Esta investigación procuró evaluar la influencia de la creatividad verbal sobre el rendimiento académico en 184 alumnos de nivel superior de la Universidad Adventista del Plata, Entre Ríos, Argentina.

Para medir el pensamiento creativo verbal se utilizó el Test de Pensamiento Creativo de Torrance (TTCT) (Torrance Test of Creative Thinking, Forms B Torrance, 1990) Forma B, batería verbal. Se realizaron análisis descriptivos de los datos demográficos de la muestra y de las variables de estudio. Para ver la influencia de la creatividad verbal y sus factores sobre el rendimiento académico se utilizaron ANOVAs de un factor y la prueba post hoc de Scheffé para determinar los contrastes significativos. Se encontró que la creatividad verbal tiene una influencia altamente significativa sobre el rendimiento académico.

En relación con las hipótesis ad hoc, se presentaron diferencias significativas en la creatividad verbal y sus factores en función del año de la carrera cursada.
El proceso pedagógico
Authors: Falconier Marcelo
Published: February 2020

Obra reseñada:

Smith, René Rogelio. (2004). El proceso pedagógico: ¿agonía o resurgimiento? Montemorelos: Publicaciones Universidad de Montemorelos.
Estilos parentales, vínculos de amistad y compañerismo en niños
Authors: Moreno José Eduardo
Published: February 2020

El presente trabajo estudia cómo influye la percepción de la relación con los padres (estilo parental, tipo de disciplina) sobre la conducta social de los niños de 9 a 12 años, en particular sobre la calidad de la amistad y el compañerismo con sus pares.

Partiendo de este objetivo, se reelaboraron y analizaron las propiedades psicométricas de la versión argentina del Children Report of Parental Behavior (CRPBI) de Schaeffer —que comprende cinco factores: aceptación, control patológico, control estricto, control y autonomía extrema (disciplina laxa)—, para estudiar el estilo parental, y de la Friendship Quality Scale de Bukowsky, para estudiar la calidad de la amistad y el grado de compañerismo. Esta escala se adaptó para niños de 9 a 12 años.

Los instrumentos antes mencionados fueron administradas a una muestra de 506 niños de 9 a 12 años, de ambos sexos, que concurrían a escuelas de la ciudad y la provincia de Buenos Aires, Argentina. Se presentan los resultados de un análisis de regresión múltiple escalonado, en el que se pueden observar los estilos parentales que influyen sobre los vínculos con los pares, en general y según sexo.
Percepción docente del proceso de integración escolar de niños con necesidades educativas especiales
Authors: Bakker Liliana , López Marcela , Mainetti María Marta , Zainer Justo
Published: February 2020

La integración escolar de niños con necesidades educativas especiales es una práctica actual y vigente. Sin embargo, todavía subsisten fuertes obstáculos para el logro de su plena aplicación, ya que aceptar la diversidad supone una transformación de las culturas institucionales y las estructuras educativas. El objetivo del trabajo fue indagar la percepción social sobre el proceso de integración escolar en docentes del Nivel Inicial de Educación. El estudio abarcó 15 entrevistas en profundidad y 170 encuestas a directivos, docentes y personal auxiliar de Instituciones Educativas Municipales de la ciudad de Mar del Plata. El análisis de los datos permitió delimitar algunos de los factores que obstaculizan el proceso de integración escolar: insuficiente coordinación entre las instituciones educativas participantes; falencias en los programas de formación del Profesorado de Educación Inicial respecto de contenidos curriculares específicos; conflictos en la dinámica funcional interna de las Instituciones y dificultades en las distribuciones y disposiciones estructurales y edilicias de los espacios escolares. Se considera indispensable que, a medida que se avanza en el proceso de integración, se trabaje activamente en la resolución de los problemas agrupados en los tres factores anteriormente descritos, logrando una mayor y mejor coordinación entre la escuela común y la escuela especial, brindando la formación académica adecuada a los profesionales que están implicados en esta tarea y mejorando la dinámica de trabajo de todos los actores involucrados en el proceso.
Spatial Dimensions of Economic Growth, Redistribution, and Poverty Reduction During the Yudhoyono Period in Indonesia
Authors: Aji Witri Mukti
Published: February 2020

This research explores the spatial dimensions of economic growth, redistribution, and poverty reduction in Indonesia during the Susilo Bambang Yudhoyono period (i.e., from 2004 to 2014) using the poverty decomposition method, the growth incidence curve, and several pro-poor growth indices. I gathered my data from the annual National Socio-economic Surveys conducted in Indonesia between 2004 and 2014. Analyzing this data, my thesis presents three key economic insights about the Susilo Bambang Yudhoyono period:1) poverty incidence significantly declined between 2004 and 2014, 2) the economic growth that occurred during this period was generally not pro-poor, made evident by an upward sloping growth incidence curve, and 3) regional differences exist in the shape of the growth incidence curve; the pro-poorness of economic growth therefore varies between provinces. Using the classification system proposed by Kakwani and Pernia (2000), I classify provinces into the following five groups with respect to their pro-poor growth index (PPGI). Our empirical results support the pro-poor growth in a nation. However, some provinces such as North Maluku, Gorontalo and Bengkulu experienced non-pro-poor growth and weakly pro-poor. To promote the pro-poor growth in all provinces, the governmental supports in infrastructure and human capital development are essential for the above lagged provinces.

Keywords: Household Expenditures; Economic Growth; Redistribution; Poverty Reduction; Spatial Dimensions; Inequality; Poverty Decomposition Method; Growth Incidence Curve; Pro-Poor Growth Indices.
Pakistan’s Foreign Policy Motivations in Sending Troops Abroad
Authors: Yamin Tughral
Published: February 2020

Ever since the establishment of the United Nations Organization (UNO), international community has resorted to peacekeeping operations to bring about peace in global conflict zones. The UN does not have a standing army and therefore it relies on troop contributions from member states for peacekeeping operations. Pakistan has been sending its troops abroad to participate in UN peacekeeping operations since 1960. The decisions to undertake such dangerous assignments are influenced inter alia by factors such as nation’s foreign policy, availability of troops, security concerns, public opinion and the sense of fulfilling international obligations. Arguably, foreign policy motivations in most cases dominate the Pakistani state’s decision to send its soldiers abroad. The underlying strategic decision making process remains the preserve of the official bureaucracy, both civilian and military. Decision making is easy for military governments; difficult in times of weak political governments and an assertive military; and long winded and chaotic when the matter is referred to the parliament. This paper promulgates Pakistan’s foreign policy motivations for providing troops for overseas deployments and reinforces the thesis that states like Pakistan lend their forces for international ventures, when they foresee clear cut strategic advantages.
Nature and Impact on Perceptive Understanding of Nationalism in the Conflict in Balochistan
Authors: Taj Raisani Raosen
Published: February 2020

The conflict in Balochistan and its frequent recurrence is dependent on understanding the concept of nationalism. The study aims to elucidate a general trend towards the notion of ‘nationalism’ among the people of Balochistan. The research is an exploratory attempt to streamline different opinions about nationalism. It uses primary sources of data collection in the form of interviews which were compiled by coding and corroborated by memo-driven analysis. The analysis projected that there exists a general understanding in the population about the idea of ‘nationalism’ as being a political ideology employed for communal gains and struggle. The analysis reveals a strong sense of cooperation by majority of population with the state authorities despite the projected nationalist struggle as populist at different levels.
Teacher Cognition and Grammar Teaching in a Japanese High School
Authors: Nishimuro Masateru , Borg Simon
Published: February 2020

In this paper we examine the relationship between teachers’ practices and cognitions in teaching grammar. A qualitative analysis of classroom observations and interviews with three experienced Japanese teachers of English highlights both the key features of these teachers’ pedagogies in teaching grammar and the cognitions underpinning their work. Their practices were characterized by detailed teacher-fronted explanations of grammatical forms, metalinguistic explicitness, and the use of the L1. These practices were underpinned by the teachers’ beliefs about the value of grammar, though there was little evidence that the teachers’ pedagogical choices were consciously informed by current theoretical or methodological ideas in the field of L2 teaching. Rather, the approach to grammar adopted by the teachers had a strong experiential basis and was influenced by a desire to motivate and promote the well-being of their students as well as by contextual factors such as learners and colleagues.

近年、教師認知の観点からCommunicative Language Teaching (CLT) の導入に関わる考察が多くなされているが、本稿は日本の英語教育の主な関心であり続ける文法指導にその焦点をあてた。日本の高校に勤める経験豊かな３人の日本人英語教師各々に授業観察と観察前後のインタビューからなる質的調査を実施し、文法指導の実践とその実践の根拠となる彼らの教育的信条や認知との関係性を探った。日本語を用いた教師主導の文法形式の説明とメタ言語学的明示性に象徴された彼らの実践は、文法指導に価値をおく彼らの信条が根拠となっていたが、その指導法を採用する判断においては第二言語（外国語）教育分野の理論、方法論を基にしたという根拠はほぼなかった。むしろ彼らの指導法は、教師自身の学習・指導経験が大きな基礎をなし、学習者の動機を高め彼らに人間として良く成長してほしいという願い、学習者や同僚といったコンテクスト要因に影響されていた。
Foreign Language Anxiety in Teachers
Authors: Suzuki Hiroshi , Roger Peter
Published: February 2020

In the 2013 Course of Study for senior high schools, the Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT) mandated that English should be taught, wherever possible, through the medium of English. Against this backdrop, we investigated the experiences of foreign language anxiety (FLA) among 15 Japanese teachers of English in relation to their teaching practices and beliefs. The findings, from interviews, questionnaires, and self-reflections, indicate that experiences of FLA among participants stem from two broad categories of factors. The first is the teachers’ conceptualisation of their own role as teachers; the second concerns their perception of student needs and expectations. We examined the findings in the context of Borg’s (2006) framework of Language Teacher Cognition and developed a preliminary model of FLA among this group of language teachers. Using this model, we outline ways in which anxiety related to English use in the classroom could be alleviated.

平成25年度施行の高校新学習指導要領において、文部科学省は「授業を実際のコミュニケーションの場面とするため、授業は英語で行なうことを基本とする」という文言を取り入れた。この背景を基に、本研究はBorg（2006）の「言語教師認知をめぐる枠組」を理論的モデルとして、15名の日本人高校英語教師の外国語使用不安（foreign language anxiety）を教師の信条及び教育実践と関連付けて検証した。インタビュー、質問紙、自己内省に基づく質的データの分析結果として、調査協力者の外国語使用不安は、教師としての役割に関する自己認知、学習者のニーズ及び学習志向に関する教師認知に起因することが判明した。これらの結果に基づき、我々は教師の外国語使用不安研究におけるパイロットモデルを提示し、さらに教師の外国語使用不安の対処法略を提案した。
Effects of Exploratory Practice (EP) on Team Teachers’ Perceptions in Japanese High Schools
Authors: Hiratsuka Takeaki , Barkhuizen Gary
Published: February 2020

A team-teaching scheme involving local Japanese teachers of English (JTEs) and foreign assistant language teachers (ALTs) has been in place in Japanese high schools since 1987. Team teaching, including teachers’ perspectives on their team-taught classes, has attracted research attention. However, how research in the form of Exploratory Practice (EP; Allwright & Hanks, 2009) affects team teachers’ perceptions over time has not been documented. Data were collected for 4 months from team teachers in two high schools using various qualitative methods. Content analysis (Bogdan & Biklen, 2007) was employed to examine the data, and it was found that an EP experience mediated the participants’ perceptions through different cognitive development processes, namely, replacement, synthesis, and reconfirmation. It was also revealed that the experience sometimes had only a minimal effect. The divergent effects seem to have stemmed from individual differences, pair discrepancies, contextual factors, and research conditions. The paper concludes with implications of the study.

日本では1987年以来、日本人英語教諭（JTE）と外国語指導助手（ALT）によるティームティーチングが英語授業内で実施されている。現在まで教師の意識調査を含めたティームティーチングに関する研究が盛んに行われているが、teacher research（教師主導的実践研究）、特にExploratory Practice（探求的実践活動）(EP; Allwright & Hanks, 2009) が教師の認識にどのような影響を及ぼすかは検証されていない。本研究では２つの高等学校で働くティームティーチングペア２組から質的手法を通して４ヶ月に渡ってデータが収集された。データはその後content analysis（内容分析法; Bogdan & Biklen, 2007） を用いて分析された。その結果、教師のEPに影響された認識発達の過程は大きく３つ（置換、統合、再確認）に分類されることが判明した。同時に、EPの影響は時に最小限に留まることも明らかとなった。これらの影響に関する相違は教師個人の特徴、ペアの構成、周囲の環境、そして絶えず変化する研究過程に起因することが示唆された。本論では最後に、言語教師教育における実践的な提言を行う。