bluuebunny/crossref_metadata_2025_split huggingface dataset:
RATIO DECIDENDI PENETAPAN PENGANGKATAN ANAK BERAGAMA ISLAM DI PENGADILAN NEGERI KENDAL: Analisis Pu-tusan Nomor: 27/Pdt.p/2011/PN. Kdl
Authors: Ilyas Futry Rachmadewi 
Published: March 2021

This paper’s aim is to analyze the legal consideration of Kendal District court on the stipulation of the adopted child for Muslim after the enactment of Law No. 50 of 2009 concerning the religious courts with the focus on the ratio decidendi of the decision of Kendal District Court Number: 27/pdt.p/2011/ PN. Kdl. Utilizing juridical normative work, this paper argues that the court stipulated adopted Muslim child after the enactment of Religious Court (PA) act as the judges only took serious consideration to the adoption motives and paid less attention to the religion of the child. The decision, therefore, does not meet to the principle of the best interest of the child where religion is a fundamental.Artikel ini membahas tentang ratio desidendi atau alasan hukum yang digunakan oleh hakim Pengadilan Negeri (PN) Kendal dalam membuat penetapan pengangkatan anak dalam perkara No. 27/pdt.p/2011/PN.kdl. Penetapan ini berkaitan dengan pengajuan penetapan pengangkatan anak yang diajukan oleh pasangan suami isteri Muslim. Dengan menggunakan perspektif yuridis, artikel ini berargumen bahwa dalam membuat penetapan ini, hakim hanya mempertimbangkan motif dan tujuan dibalik pengangkatan anak yang dilakukan, tanpa mempertimbangkan faktor agama sebagai alasan dalam penetapan. Dari perspektif hukum, penetapan ini tidak sesuai dengan prinsip pengangkatan anak yang menekankan pada kepentingan terbaik anak.
BERTAHAN SEBAGAI ISTERI NARAPIDANA DI TANAH MINANG: Rasionalitas dan Tradisionalisme Isteri Narapidana di Kabupaten Tanah Datar Sumatera Barat
Authors: Handayani Yulmitra 
Published: March 2021

This paper discusses about women as wives of convicted criminals in Batusangkar, West Sumatra. This study concentrates on the reasons of their attitudes to stay at becoming wives of these convicted criminals. This study is an empirical research by utilizing the theory of social action of Max Weber. This article argues that the wives of convicted criminals have chosen to keep their household as a fruit of both traditional and rational action choices. The wife loyalty and the stigmatization of widow status are among traditional values which give strong influence to them. At the same time, some consider their age, their nuclear family and financial needs as rational reasons behind their choice.Tulisan ini membahas tentang perempuan yang menjadi isteri narapidana di Batusangkar, Sumatera Barat. Fokus kajian dalam tulisan ini adalah alasan mengapa mereka tetap memilih bertahan menjadi isteri narapidana. Dengan menggunakan teori tindakan sosial Max Weber, artikel ini menyatakan bahwa para perempuan tersebut tetap memilih bertahan untuk menjadi para isteri narapidana dikarenakan alasan tradisi dan alasan rasional. Kesetiaan perempuan dan stigma negatif terhadap status janda menjadi alasan tradisional yang melatari pilihan mereka. Sedangkan alasan rasional mereka dapat dilihat dari pernyataan di antara mereka yang mempertimbangkan usia mereka yang sudah lanjut. Sebagian lagi mempertimbangkan nasib anak-anak mereka. Terdapat pula sebagian isteri yang berargumen karena kebutuhan ekonomi mereka.
TRADISI BUKA PINTU DALAM PERKAWINAN MASYARAKAT BANTEN: Studi terhadap Tradisi Ya Lail di Kampung Pakuncen Ciwedus, Cilegon
Authors: Fithoroini Dayan 
Published: March 2021

This article discusses about the tradition of yalil/yalail practiced in Kampung Pakuncen Cilegon Banten in the process of marriage celebration. It is a symbol of the beginning of family life. This tradition is conducted after marriage contract. The discussion concentrate on the meaning of the tradition among the society. Based on empirical research, this paper argues that the tradition of yalil is a symbol of the arrival of the first time the groom goes to the bride's house and the acceptance of the bride’s family to the groom. In Kampung Pakuncen, Ya lail tradition has important meaning for the society, even it was considered as a compulsory in wedding procession and give impact to the validity of marriage. As a fruit of social development, contemporary development shows that ya lail is considered as a good tradition which does not give impact to the validity of marriage. Tulisan ini membahas tentang tradisi yalil/ya lail, sebuah tradisi yang ada dalam pesta perkawinan, yang dipraktikkan di Kampung Pakuncen, Cilegon, Banten. Tradisi Yalil ini dianggap sebagai simbol dimulainya kehidupan berumah tangga dan biasanya diadakan setelah akad nikah. Tulisan ini berfokus pada makna tradisi ya lail bagi masyarakat kampung Pakuncen. Berdasarkan penelitian empiris, tulisan ini menyimpulkan bahwa tradisi Yalil merupakan tanda kedatangan mempelai laki-laki ke rumah mempelai perempuan untuk pertama kalinya, dan simbol penerimaan keluarga mempelai perempuan terhadap mempelai laki-laki. Bagi masyarakat Pekuncen, tradisi Ya lail mempunyai makna yang penting dalam perkawinan. Tradisi ini pernah dianggap sebagai salah satu syarat yang menentukan sahnya perkawinan. Namun, seiring dengan perkembangan sosial yang terjadi, sekarang masyarakat hanya menganggap ya lail sebagai tradisi baik yang tidak berpengaruh terhadap keabsahan perkawinan.
Using head mounted display virtual reality simulations in large engineering classes: Operating vs observing
Authors: Valentine Andrew , Van Der Veen Tom , Kenworthy Patrick , Hassan Ghulam Mubashar , Guzzomi Andrew L , Khan R. Nazim , Male Sally Amanda 
Published: March 2021

A barrier to using head mounted display (HMD) virtual reality (VR) in education is access to hardware for large classes. This paper compares students’ learning when engaging with an HMD VR simulation as the operator and as the observer, to evaluate whether benefits of HMD VR can be achieved without requiring all students to operate the equipment. Postgraduate engineering students (N = 117) completed a safety hazard identification exercise in a workshop. The performance of students who operated and observed was compared. Results showed that students performed similarly in the exercise that followed the simulation whether they operated HMD VR (n = 33) or observed (n = 84). The finding suggests that educators may be able to use HMD VR simulations in classes with a large enrolment, by reducing the need for investment and management of a large number of sets of HMD VR equipment.
Implications for practice or policy:

Engineering educators can use HMD VR simulations to teach students about safety in design.
Engineering students are able to identify safety hazards in a HMD VR simulation effectively whether they are operating the equipment or observing another student in their group operating the VR equipment.
One HMD VR set per student group is sufficient.
HMD VR simulations can be used inclusively, even when some students are unable or unwilling to wear the headset.
Sleep Spindles Preferentially Consolidate Weakly Encoded Memories
Authors: Denis Dan , Mylonas Dimitrios , Poskanzer Craig , Bursal Verda , Payne Jessica D. , Stickgold Robert 
Published: March 2021

Sleep has been shown to be critical for memory consolidation, with some research suggesting that certain memories are prioritized for consolidation. Initial strength of a memory appears to be an important boundary condition in determining which memories are consolidated during sleep. However, the role of consolidation-mediating oscillations, such as sleep spindles and slow oscillations, in this preferential consolidation has not been explored. Here, 54 human participants (76% female) studied pairs of words to three distinct encoding strengths, with recall being tested immediately following learning and again 6 h later. Thirty-six had a 2 h nap opportunity following learning, while the remaining 18 remained awake throughout. Results showed that, across 6 h awake, weakly encoded memories deteriorated the fastest. In the nap group, however, this effect was attenuated, with forgetting rates equivalent across encoding strengths. Within the nap group, consolidation of weakly encoded items was associated with fast sleep spindle density during non-rapid eye movement sleep. Moreover, sleep spindles that were coupled to slow oscillations predicted the consolidation of weak memories independently of uncoupled sleep spindles. These relationships were unique to weakly encoded items, with spindles not correlating with memory for intermediate or strong items. This suggests that sleep spindles facilitate memory consolidation, guided in part by memory strength.SIGNIFICANCE STATEMENTGiven the countless pieces of information we encode each day, how does the brain select which memories to commit to long-term storage? Sleep is known to aid in memory consolidation, and it appears that certain memories are prioritized to receive this benefit. Here, we found that, compared with staying awake, sleep was associated with better memory for weakly encoded information. This suggests that sleep helps attenuate the forgetting of weak memory traces. Fast sleep spindles, a hallmark oscillation of non-rapid eye movement sleep, mediate consolidation processes. We extend this to show that fast spindles were uniquely associated with the consolidation of weakly encoded memories. This provides new evidence for preferential sleep-based consolidation and elucidates a physiological correlate of this benefit.
An integrated approach for cutting fluid selection using multiple attribute decision making methods
Authors: Dhanalakshmi S. , Rameshbabu T. 
Published: March 2021

The choice of most appropriate cutting liquid in any machining process should be performed to attain maximum benefit. Selection of cutting fluid needs more than one dimension. For this purpose, many criteria should be deemed in the selection process. In this study decision making methods such as AHP, TOPSIS and VIKOR are employed to select the suitable cutting fluid. AHP is used to compute the objective weights for the criteria.The three alternatives considered are Ahonol- 7, Blaser and YBI. A case study of cutting fluid selection for machining LM 25 Aluminium alloy which finds application in automobile industries is presented to explain the applicability and suitability of the anticipated method. Ranking of alternatives in the above methods suggests Ahonol – 7 as the best cutting fluid for CNC turning LM 25 aluminium alloy.
Gitelman syndrome, a rare cause of refractory hypokalemia. A case repor
Authors: Zambrano-Urbano Jose Leonel , Delgado-Truque Andrés Emilson , Ocampo-Chaparro José Mauricio , Castro-Flórez Ximena 
Published: March 2021

Introduction: Gitelman syndrome is a rare hereditary primary renal tubular disorder, with a prevalence of approximately 1 to 10 cases per 40 000 people. It does not have specific symptoms, so its diagnosis depends on high clinical suspicion by the treating physical and a sequential approach to hypokalemia, especially in young patients. Thus, a diagnostic algorithm is proposed at the end of this report.
Case presentation: A 23-year-old woman with a history of hospitalization due to hypokalemia presented to the emergency service with intermittent cramping in her lower limbs, which was exacerbated by gastrointestinal symptoms. Laboratory tests reported the following findings: metabolic alkalosis, elevated levels of potassium, magnesium, chloride and sodium in urine, and reduced levels of calcium in urine. Thus, potassium supplementation and eplerenone administration were started, obtaining the complete resolution of symptoms. At her last follow-up appointment, the patient was asymptomatic, and her serum electrolyte levels were normal. In addition, during her hospital stay and due to the high suspicion of Gitelman syndrome, a genetic study was performed, which reported a mutation of the SCL12A3 gene, confirming the diagnosis.
Conclusion: The sequential approach to a patient with recurrent hypokalemia is very important to reach an accurate diagnosis among a wide range of differential diagnoses.
An axiological approach to the problem of sexual education
Authors: Bobko Aleksander 
Published: March 2021

Among all sorts of technological and cultural breakthroughs affecting our civilisation which we have witnessed over the last few decades, the changes regarding the most intimate spheres of human nature, those of sexuality, may have passed unnoticed. A series of changes in social norms triggered after 1968 resulted in a situation which, as far as sexuality is concerned, can be described as a real „controversy over human existence”.This paper will briefly outline some of the characteristics of the social changes that have occurred over the past fifty years and which have had a significant impact on the understanding of the nature of sexuality. Then, two apparently competing visions of man, the traditional and the modernist will be compared. As far as the traditional concept is concerned, reference will be made to the teachings of John Paul II. The modernist approach will be illustrated based on the „Standards for Sexuality Education in Europa” formulated by the World Health Organisation. The objective is not to settle the dispute, but to try and highlight its substance as well as the consequences arising from adopting one or the other of the proposed approaches.
Recent Evolution in the Management of Lymph Node Metastases in Melanoma
Authors: Breit Shelby , Foley Elise , Ablah Elizabeth , Okut Hayrettin , Mammen Joshua 
Published: March 2021

Introduction. Based upon two large randomized international clinical trials (German Dermatologic Cooperative Oncology Group (DeCOG-SLT) and Multicenter Selective Lymphadenectomy Trial II (MSLT-II)) which were published in 2016 and 2017, respectively, active surveillance has been demonstrated to have equivalent survival outcomes to completion lymphadenectomy (CLND) for a subset of patients who have microscopic lymph node disease. In this study, we examined the changes in national practice patterns regarding the utilization of CLND after positive sentinel lymph node biopsy (SLNB).
Methods. Using the National Cancer Database, we examined CLND utilization in SLN-positive patients diagnosed with melanoma between 2012 and 2016. A hierarchal logistical regression model with hospital-level random intercepts was constructed to examine the factors associated with SLNB followed by observation vs. SLNB with CLND.
Results. Of the 148,982 patients identified, 43% (n = 63,358) underwent SLNB, and 10.3% (n = 6,551) had a SLNB with microscopic disease. CLND was performed for 57% (n = 2,817) of these patients. Patients were more likely to undergo CLND if they were < 55 years of age (OR, 0.687; p = <0.0001), ages 56 - 65 (OR, 0.886; p = 0.0237), Charlson Deyo Score = 0 (OR, 0.859; p = 0.0437), or were diagnosed with melanoma in 2012 (OR, 0.794, p = <0.0001).
Conclusions. We found the utilization of CLND among patients with microscopic nodal melanoma to be significantly lower in 2016 compared to 2012. Younger age, lack of comorbidities, and primary tumor location on the trunk or head/neck were associated with higher utilization of CLND.
AN EFFECTIVE MACHINE LEARNING MODEL FOR CUSTOMER ATTRITION PREDICTIONIN MOTOR INSURANCE USING GWO-KELM ALGORITHM
Authors: Raju Ramakrishna Gondkar Deepthi Das, 
Published: March 2021

The prediction of customers' churn is a challenging task in different industrial sectors, in which the motor insurance industry is one of the well-known industries. Due to the incessant upgradation done in the insurance policies, the retention process of customers plays a significant role for the concern. The main objective of this study is to predict the behaviors of the customers and to classify the churners and non-churners at an earlier stage. The Motor Insurance sector dataset consists of 20,000 records with 37 attributes collected from the machine learning industry. The missing values of the records are analyzed and explored via Expectation Maximization algorithm that categorizes the collected data based on the policy renewals. Then, the behavior of the customers are also investigated, so as to ease the construction process training classifiers. With the help of Naive bayes algorithm, the behaviors of the customers on the upgraded policies are examined. Depending on the dependency rate of each variable, a hybrid GWO-KELM algorithm is introduced to classify the churners and non-churners by exploring the optimal feature analysis. Experimental results have proved the efficiency of the hybrid algorithm in terms of 95% prediction accuracy; 97% precision; 91% recall & 94% F-score.
PREDICTIVE MODELLING AND ANALYTICS FOR DIABETES USING A MACHINE LEARNING APPROACH
Authors: Dr. Abhishek Badholia Prateek Mishra, Dr.Anurag Sharma, 
Published: March 2021

Adverse effects can be seen in the entire body due to the major disorders known as Diabetes. The risk of dangers like diabetic nephropathy, cardiac stroke and other disorders can increase severally because of the undiagnosed diabetes. Around the globe the people are suffering from this disease. For a healthy life early detection of this disease is very curtail. As the causes of the diabetes is increasing rapidly this disease might turn up as a reason for worldwide concern. Increasing the chances for a more accurate predictions and form experiences automatic learning by computational method may be provided by Machine Learning (ML). With the help of R data manipulation tool for trends development and with risk factor patterns detection in Pima Indian diabetes technique of machine learning is been used in the current researches. With the use of R data manipulation tool analysis and development five different predictive models is done for the categorization of patients into diabetic and non- diabetic. supervised machine learning algorithms namely multifactor dimensionality reduction (MDR), k-nearest neighbor (k-NN), artificial neural network (ANN) radial basis function (RBF) kernel support vector machine and linear kernel support vector machine (SVM-linear) are used for this purpose.
THE IMPACT OF OIL PRICE ON STOCK MARKET:EMPIRICAL EVIDENCE FROM US
Authors: Tugut Tursoy, Shanaz hakim , 
Published: March 2021

The analysis of this research focuses on the interactive relationship among the fluctuation of crude oil prices, the real GDP and the stock market of United State. This empirical investigation uses data is in between 1990 and 2018 with the Vector Auto-regression (VAR) analysis, and multiple regressions with its assumption were used in order to analyses data.
Findings, oil price and economic growth are very important determinates of stock market in US because the p-value of this were less than the common alpha α =0.05. For instance, the crude oil price had positive impact on stock market because for each unit increasing of crude oil price, the stock market will increase by (0.276901) after holding all other variable constant. However, we find that GDP has negative impact on the participations of increasing the stock market.
THE QUALITY MODEL ORGANIZATIONAL CULTURE ASSESSMENT INSTRUMENT (OCAI)
Authors: Et al. Yuni Pratikno 
Published: March 2021

Organisational culture is a system of shared beliefs and values in the organisation and directs its members' behaviour. There are various factors of change that influence organisational culture; various things are done to anticipate changes in the shift from the present situation to the desired conditions in a sustainable change. On the one hand, change occurs because of external factors that encourage change; on the other hand, change is an internal need. Change can be interpreted as absolute and unavoidable because of the strong external impulse and internal needs.
This research carried out at PT Briscor Horizon in 2020. This research was qualitative, namely research that intends to understand the phenomenon of what is experienced by the research subject holistic, and by way of description in the form of words and language, in a particular natural context and by utilising various natural methods. Data collection techniques used by researchers are interviews, documentation, and field observations.
SEGMENTATION OF KIDNEY STONE REGION IN ULTRA SOUND IMAGEBY USING REGION PARTITION AND MOUNTING SEGMENTATION ALGORITHM (RPM)
Authors: Dr. M. Renukadevi S. Suganyadevi, 
Published: March 2021

One of the safest techniques for disease diagnosis which can be used in any part of the body is ultrasound imaging. The cost when compared with MRI, PET etc are higher than using ultra sound images is the one of the major reason. Further, it is an efficient technique for initial diagnosis and it is free from any radiation exposure. This paper concentrates on segmentation of kidney from abdominal ultrasound images. There are many common ailments affecting kidney. Hence conducting study on this segmented image becomes easy with an efficient segmentation technique. In this paper Various algorithms to pull out kidney regions from abdominal ultrasound images which are discussed by many researchers are also investigated. Due to the complicated internal organs of the abdominal region, extraction of only the kidney region is very challenging and is the major drawback of ultrasound imaging. a new technique where the collected abdominal ultrasound image is cleaned, to remove unwanted noise produced due to various interferences has been processed by this paper, the kidney region is segmented after applying the filtering technique. the subjected to Region indicator contour segmentation method to extract the renal calculi which is the region of interest in this study is this extracted kidney image. with a reasonable number of dataset and applied the statistical performance test to check for the accuracy , the method is experimented .
NDVI COMPUTATION OF LISS III IMAGES USING QGIS
Authors: Thejaswini P. Vijayalakshmi V, D Mahesh Kumar, S C Prasanna Kumar, 
Published: March 2021

Feature Selection and Extraction is a very significant and mandatory part in the domain of image processing. After the relevant preprocessing operations, the relevant features have to be extracted using suitable algorithms. In multispectral imagery, the features are identified and extracted based on the applications and objectives of the analysis such as color, texture, brightness, intensity etc. Some of the prominent algorithms used for feature extraction are mean shift algorithm, Principal Component transformation, Wavelet based Transformation, Local Binary Patterns etc. Texture based feature detection and extraction is the most prominent method adopted which involves multispectral images. With respect to hyperspectral images, dimensionality is a critical issue to be dealt appropriately.