bluuebunny/crossref_metadata_2025 huggingface dataset:
Changes in Cognition and Hemodynamics 1 Year after Carotid Endarterectomy for Asymptomatic Stenosis
Authors: Košťál Petr , Mrhálek Tomáš , Kajanová Alena , Bombic Martin , Kubále Jiří , Šterba Luděk , Ostrý Svatopluk , Fiedler Jiří
Published: February 2021

Objectives The impact of a change in hemodynamics on cognitive skills in patients with asymptomatic carotid stenosis (ACS) after carotid endarterectomy (CEA) remains unclear. The aim of this study was to evaluate the results of CEA for ACS at 1 year by assessing the changes in anterior, middle, and posterior cerebral artery blood flow in tandem with changes in cognitive efficiency.

Methods Flow volume in cerebral arteries using quantitative magnetic resonance angiography was measured in a group of 14 males and 5 females before and at 1 year after CEA for ACS. Cognitive efficiency was assessed by Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). The values of flow volume were processed using simple ratio (SR) and were used for covariance analyses with changes in cognitive skills after CEA.

Results A significant improvement in cognitive efficiency indexes of immediate memory and visuospatial perception at 1 year after CEA for ACS was observed. Simultaneously, a significant deterioration of speech index was noted. During the analysis of association between flow and cognition, the highest correlation could be seen between the middle cerebral artery (MCA) flow and the visuospatial perception. A change in posterior cerebral artery (PCA) flow was associated with an increase in immediate memory index and anterior cerebral artery (ACA) flow change with the speech index.

Conclusion Convergence of data supporting the association between revascularization and cognitive improvement were added in a small, single-center cohort of ACS patients undergoing CEA. No significant differences in cognition were seen between preoperative findings and at 1 year after CEA. Visuospatial perception improvement was linked to flow change in MCA, immediate memory improvement to flow change in PCA, and speech index change to flow change in ACA. Methodical limitations of this small study preclude formulating larger generalizations. Hemodynamic factors in CEA should be assessed in a larger-scale study.
Simoctocog Alfa (Nuwiq) in Previously Untreated Patients with Severe Haemophilia A: Final Results of the NuProtect Study
Authors: Liesner Ri J. , Abraham Aby , Altisent Carmen , Belletrutti Mark J. , Carcao Manuel , Carvalho Manuela , Chambost Hervé , Chan Anthony K. C. , Dubey Leonid , Ducore Jonathan , Gattens Michael , Gresele Paolo , Gruel Yves , Guillet Benoit , Jimenez-Yuste Victor , Kitanovski Lidija , Klukowska Anna , Lohade Sunil , Mancuso Maria Elisa , Oldenburg Johannes , Pavlova Anna , Pollio Berardino , Sigaud Marianne , Vdovin Vladimir , Vilchevska Kateryna , Wu John K. M. , Jansen Martina , Belyanskaya Larisa , Walter Olaf , Knaub Sigurd , Neufeld Ellis J.
Published: February 2021

Introduction FVIII inhibitor development is the most serious contemporary treatment complication in haemophilia A, particularly in previously untreated patients (PUPs). No inhibitors developed in clinical trials in previously treated patients treated with simoctocog alfa (Nuwiq), a fourth-generation recombinant FVIII produced in a human cell line.

Methods The NuProtect study investigated the immunogenicity of simoctocog alfa in PUPs. NuProtect was a prospective, multinational, open-label, non-controlled, phase III study. PUPs with severe haemophilia A (FVIII:C <1%) of any age and ethnicity were treated with simoctocog alfa for 100 exposure days or a maximum of 5 years. Patients were true PUPs without prior exposure to FVIII concentrates or blood components. Inhibitor titres were measured with the Nijmegen-modified Bethesda assay; cut-off for positivity was 0.6 BU mL−1 (≥0.6 to <5 low-titre, ≥5 high titre).

Results A total of 108 PUPs with a median age at first treatment of 12.0 months (interquartile range: 8.0–23.5) were treated with simoctocog alfa. F8 mutation type was known for 102 patients (94.4%) of whom 90 (88.2%) had null F8 mutations and 12 (11.8%) had non-null mutations. Of 105 PUPs evaluable for inhibitor development, 28 (26.7%) developed inhibitors; 17 high titre (16.2%) and 11 low titre (10.5%). No PUPs with non-null F8 mutations developed inhibitors.

Conclusion In the NuProtect study, the rate of inhibitor development in PUPs with severe haemophilia A treated with simoctocog alfa was lower than the rate reported for hamster-cell-derived recombinant factor VIII products in other recent clinical trials. No inhibitors were reported in PUPs with non-null F8 mutations.
TEVAR Following FET: Current Outcomes of Rendezvous Procedures in Clinical Practice
Authors: Meisenbacher Katrin , Osswald Anja , Bischoff Moritz Sebastian , Böckler Dittmar , Karck Matthias , Ruhparwar Arjang , Geisbüsch Philipp
Published: February 2021

Background The treatment of extensive thoracic/thoracoabdominal aortic pathologies with arch involvement remains a challenging task in aortic surgery. The introduction of the frozen elephant trunk (FET) technique offered a link between open surgery and thoracic endovascular aortic repair (TEVAR). Despite a decade of experience, data on the complementary use of these techniques are scant. The aim of this study was to evaluate TEVAR following FET in clinical reality.

Methods Between November 2006 and June 2018, 20 patients (9 females; median age of 69 years) underwent endovascular second-stage completion after FET. The clinical outcomes, technical feasibility, and morphological findings were analyzed retrospectively.

Results Eleven of the 20 interventions were intended “rendezvous procedures” in a multistage approach; 4 were elective reinterventions, and 5 were emergency complication repairs. The median interval between FET and TEVAR was 231 days (11 days–7.4 years). The technical success rate was 100%. During a median follow-up (FU) period of 58.3 months, the overall survival rate was 95%, with one in-hospital death. Neurological complications occurred in three cases (spinal cord injury: n = 1; stroke: n = 2). Computed tomography angiography showed overall regression in the median diameter of the proximal descending aorta (from 57 to 48.5 mm).

Conclusion TEVAR as a second-stage intervention after FET is a feasible option, with satisfactory results at medium-term FU. In extensive thoracoabdominal aortic disease without proximal landing zones, the complementary use of both techniques in a multistage approach should be considered.
Management of ST-Elevation Myocardial Infarction in High-Risk Settings
Authors: Omer Mohamed A. , Exaire Jose E. , Jentzer Jacob C. , Sandoval Yader B. , Singh Mandeep , Cagin Charles R. , Elgendy Islam Y. , Tak Tahir
Published: February 2021

Despite the widespread adoption of primary percutaneous intervention and modern antithrombotic therapy, ST-segment elevation myocardial infarction (STEMI) remains the leading cause of death in the United States and remains one of the most important causes of morbidity and mortality worldwide. Certain high-risk patients present a challenge for diagnosis and treatment. The widespread adoption of primary percutaneous intervention in addition to modern antithrombotic therapy has resulted in substantial improvement in the short- and long-term prognosis following STEMI. In this review, we aim to provide a brief analysis of the state-of-the-art treatment for patients presenting with STEMI, focusing on cardiogenic shock, current treatment and controversies, cardiac arrest, and diagnosis and treatment of mechanical complications, as well as multivessel and left main-related STEMI.
Neuropsychological Phenotypes of Pediatric Anti-Myelin Oligodendrocyte Glycoprotein Associated Disorders: A Case Series
Authors: Tan Alexander , Marcus David J. , Howarth Robyn A. , Gombolay Grace Y.
Published: February 2021

Emerging research has demonstrated that anti-myelin oligodendrocyte associated disorders (MOG-AD) are associated with a less severe clinical course than demyelinating conditions associated with the presence of aquaporin-4 antibodies. While a heterogeneity of neuropsychological outcomes in pediatric demyelinating conditions have been described in the literature, no studies to date have investigated the neuropsychological sequelae of pediatric MOG-AD specifically. The objective of the present case series was to describe the clinical and neuropsychological phenotypes of seven pediatric patients (ages 3–15 years) with MOG-AD of different diagnoses (e.g., acute disseminated encephalomyelitis, optic neuritis, multiple sclerosis, and neuromyelitis spectrum disorders). Neuropsychological outcomes were evaluated by retrospective chart review. Results indicated largely intact neuropsychological profiles in five of the seven patients, with mild weaknesses in attention, executive functioning, processing speed, visual-motor/fine-motor skills, and mood concerns being observed. Two patients with a Kurtzke Extended Disability Status Scale of 0 still demonstrated findings on neuropsychological testing. Of the other two patients, one demonstrated higher levels of impairment in the context of a complex medical history and premorbid learning difficulties, while the other demonstrated declines in functioning likely associated with an earlier age of onset. Findings suggest that neuropsychological outcomes may be correspondingly less severe in this population compared with what has previously been described in the pediatric demyelinating disease literature. This differential impact may contribute to the heterogeneity of neuropsychological outcomes found in previous studies, and future research should separate participants with myelin oligodendrocyte antibodies given the difference in clinical course, treatment outcomes, and neuropsychological sequelae.
A Rare Case of Extra-abdominal Desmoid Fibromatosis of the Mandible in a 9-Year-Old Child
Authors: Madi Medhini , Bhat Supriya , Madiyal Ananya , Babu Subhas G.
Published: February 2021

Desmoid tumors are tumors of the fibrous tissue that are benign, which most commonly occur in the abdominal walls of females who are of childbearing age. The most common location for extra-abdominal desmoid tumors is the shoulder and the upper limb. They show no tendency for metastasis but are locally very aggressive. Here we report a rare case of extra-abdominal desmoid fibromatosis in the mandible of a child.
Proteomic analysis of young sugarcane plants with contrasting salt tolerance
Authors: Chiconato Denise A. , de Santana Costa Marília G. , Balbuena Tiago S. , Munns Rana , dos Santos Durvalina M. M.
Published: February 2021

Soil salinity affects sugarcane (Saccharum officinale L.) production in arid and semiarid climates, severely reducing productivity. This study aimed to identify differentially regulated proteins in two cultivars that differ markedly in tolerance of saline soil. Plants were grown for 30 days and then subjected to treatments of 0 and 160 mM NaCl for 15 days. The tolerant cultivar showed a 3-fold upregulation of lipid metabolising enzymes, GDSL-motif lipases, which are associated with defence to abiotic stress, and which were not upregulated in the sensitive cultivar. Lipoxygenase was 2-fold upregulated in the tolerant cultivar but not in the sensitive cultivar, as were Type III chlorophyll a/b binding proteins. Other differences were that in the sensitive cultivar, the key enzyme of C4 photosynthesis, phosphoenolpyruvate carboxylase was downregulated, along with other chloroplast enzymes. Na+ concentrations had not reached toxic concentrations in either cultivar by this time of exposure to salt, so these changes would be in response to the osmotic effect of the soil salinity, and likely be in common with plants undergoing drought stress.
Assisted breeding technology in the saltwater crocodile
Authors: Johnston Stephen D. , Lever John , McLeod Robby , Qualischefski Edward , Madrigal-Valverde Monica , Nixon Brett
Published: February 2021

This review reports the current status of artificial breeding technology in the Crocodylia and the future requirements for the establishment of AI in the saltwater crocodile. Although there are challenges regarding safe restraint and immobilisation, semen collection of the saltwater crocodile by manual stimulation has proven effective in yielding sufficient volume and sperm concentrations for empirical and molecular analyses of sperm preservation and physiology. Nevertheless, there is still much to learn with respect to fundamental anatomy, physiology and behaviour in both sexes, but particularly in the female. Although lessons can be learned from successful AI in the alligator, the details of this research are not readily accessible. Future research needs to focus on the proximate factors of seasonality and the underlying control of the female’s annual reproductive cycle; this will require novel and innovative ways to collect blood samples without causing stress or injury, and ideally a dedicated crocodile research breeding colony. Because the saltwater crocodile is a farmed species, there is likely to be sufficient impetus for the application of assisted breeding technology to drive future productivity in the industry. These developments will also have benefits for the genetic and reproductive management of endangered captive populations.
Overlapping as final-item completion in Mandarin conversation
Authors: Zhang Wenxian , Li Xianyin , Zhang Wei
Published: February 2021

This study locates as its focus the site for the final item in a sentence-in-progress as a late but systematic
opportunity space for co-completing sentences by another speaker, and as a systematic site for brief overlaps. A second speaker
may supply a version of the final item as projected by the grammatical structure of the sentence-so-far in given contexts to offer
assistance for the searched-for final item upon the current speaker’s displayed delivery trouble, or to show an early recognition
of what the current turn is doing and what it takes for its completion in the absence of any display of delivery trouble. The
overlap in the first case may be ‘accidental’ when the first speaker is able to produce his/her own final item a moment later, or
it may be an ‘achieved’ early start in the second case. The same opportunity space may also be ‘exploited’. Final items proposed
by the second speaker may generate a local sequence where its acceptability becomes relevant. Post-overlap responses by the first
speaker often show acceptance, sometimes with qualification. We argue that overlapping final-item completion is a result of
speakers’ active participation and high involvement, and is motivated by the fundamental baseline of cooperation and collaboration
in human social interaction.
El mundo del trabajo en los libros de texto de ELE
Authors: Bori Pau , Kuzmanovic Jovanovic Ana
Published: February 2021

Este artículo adopta una perspectiva política y económica para explorar la evolución de las representaciones del
mundo laboral en los libros de texto del español como lengua extranjera (ELE) desde mediados de los setenta hasta la actualidad.
Utilizando el marco teórico del análisis crítico del discurso, examinamos históricamente el contenido laboral en libros de ELE a
la luz de las transformaciones del capitalismo en las últimas cuatro décadas. Los resultados del análisis del contenido indican un
incremento de referencias neoliberales coincidiendo con el auge del neoliberalismo como paradigma político y económico dominante.
También se constata un cambio de orientación de las actividades que pasan a centrarse en la promoción del espíritu empresarial y
la empleabilidad de los aprendices. El artículo concluye destacando la necesidad de estudiar los cambios en la esfera económica y
material de la sociedad para comprender mejor cuestiones relacionadas con la lengua y su contexto.
Acquiring social and linguistic competence
Authors: Kushartanti Bernadette , Van de Velde Hans , Everaert Martin
Published: February 2021

The present chapter discusses the acquisition of
social and linguistic constraints by Jakarta Indonesian
preschoolers. We examine the morphological aspects in two Indonesian
varieties, namely Bahasa Indonesia (BI) and Colloquial Jakarta
Indonesian (CJI), focusing on the use of transitivity and
intransitivity marking verbal prefixes. Data in this study come from
two periods of interviews in formal and informal settings with a
six-month interval. Participants in this study are children of
middle-class families (N = 63). We investigate
whether they use BI prefixes and CJI prefixes appropriately in terms
of situations and morphological rules. Findings in this study
indicate that these children acquire the social and grammatical
constraints at the same time in the informal situation.
The Danish Orientalist Arthur Christensen's Visit to Iran in 1929 and His Meeting with the Iranian Intelligentsia
Authors: Søltoft Mette Hedemand
Published: February 2021

This article focuses on Arthur Christensen's meeting with the Iranian intelligentsia in 1929. Arthur Christensen's L'Iran sous les Sassanides had a tremendous influence on the Iranian nationalism at the beginning of the twentieth century. However, Christensen's encounter with Iranian intellectuals in 1929 shows that from the very beginning they had much in common, and furthermore that Christensen was influenced by Iranian nationalism.
Long-term outcome and predictors of remission in Behçet’s disease in daily practice
Authors: Malek Mahdavi Aida , Khabbazi Alireza , Hajialilo Mehrzad
Published: February 2021

Background

Many factors can influence the response to treatment and prognosis of Behçet’s disease (BD). Identifying the predictors of response to treatment can improve the quality and decrease the cost of medical care. This analytical study was performed to identify factors affecting the remission and outcome in BD patients with long-term follow-up.

Methods

A total of 245 BD patients aged over 16 years were followed for at least 12 months and visited at least three times a year were included. The outcome was assessed by the number of patients who were in sustained and long-term remission, had lost the primary criteria of BD for at least 12 months, were asymptomatic, and developed the sequela of disease or deceased. Sustained remission was defined as being in remission for at least six months. Long-term remission was defined as remission for ≥ 5 years.

Results

Mean age and mean duration of follow-up were 35.1 ± 10.7 years and 92.3 months, respectively. At the end of follow-up, 63.2% of the patients lost the criteria of BD, 51.8% of the cases were in sustained remission, and 36.2% of them were asymptomatic. Predictors of sustained remission were adherence to therapy and treatment for more than six years. Having genital ulcers and treatment with methotrexate were associated with non-remission. Predictor of long-term remission was remission induction in the first two years of the treatment. Treatment with methotrexate was associated with non-remission. Poor outcome was observed in 31.8% of patients. Male sex, obesity, and having severe disease were the risk factors of poor outcome.

Conclusion

Achieving remission in BD is not inaccessible. Treatment with conventional and biologic disease-modifying antirheumatic drugs may cause sustained and long-term remission. Adherence to treatment, remission induction during the two years after the diagnosis and treatment for at least six years have significant role.
Personalized machine learning approach to injury monitoring in elite volleyball players
Authors: de Leeuw Arie‐Willem , van der Zwaard Stephan , van Baar Rick , Knobbe Arno
Published: February 2021

We implemented a machine learning approach to investigate individual indicators of training load and wellness that may predict the emergence or development of overuse injuries in professional volleyball. In this retrospective study, we collected data of 14 elite volleyball players (mean ± SD age: 27 ± 3 years, weight: 90.5 ± 6.3 kg, height: 1.97 ± 0.07 m) during 24 weeks of the 2018 international season. Physical load was tracked by manually logging the performed physical activities and by capturing the jump load using wearable devices. On a daily basis, the athletes answered questions about their wellness, and overuse complaints were monitored via the Oslo Sports Trauma Research Center (OSTRC) questionnaire. Based on training load and wellness indicators, we identified subgroups of days with increased injury risk for each volleyball player using the machine learning technique Subgroup Discovery. For most players and facets of overuse injuries (such as reduced sports participation), we have identified personalized training load and wellness variables that are significantly related to overuse issues. We demonstrate that the emergence and development of overuse injuries can be better understood using daily monitoring, taking into account interactions between training load and wellness indicators, and by applying a personalized approach.

Highlights

With detailed, athlete‐specific monitoring of overuse complaints and training load, practical insights in the development of overuse injuries can be obtained in a player‐specific fashion contributing to injury prevention in sports.

A multi‐dimensional and personalized approach that includes interactions between training load variables significantly increases the understanding of overuse issues on a personal basis.

Jump load is an important predictor for overuse injuries in volleyball.
Genetic Polymorphisms of 44 Y Chromosomal Genetic Markers in the Inner Mongolia Han Population and Its Genetic Relationship Analysis with Other Reference Populations
Authors: Jin Xiaoye , Xing Guohui , Yang Chunhua , Zhang Xingru , Cui Wei , Chen Chong , Zhu Bofeng
Published: February 2021

Y chromosomal genetic markers in the non-recombining region are commonly used for human evolution research, familial searching, and forensic male differentiation since they strictly follow paternal inheritance. Y chromosomal short tandem repeats (Y-STRs) possess extraordinarily advantages in forensic applications because of their high polymorphisms and special genetic pattern. Here, we assessed the genetic diversities of 41 Y-STRs and three Y chromosomal insertion/deletion (Y-InDels) loci in the Chinese Inner Mongolia Han population; besides, genetic differentiation analyses among the studied Han population and other previously reported populations were conducted based on 27 same Y-STRs. Totally, 425 alleles were observed in 324 Inner Mongolia Han individuals for these Y-markers. Gene diversities of these Y-markers distributed from 0.0306 to 0.9634. The haplotype diversity and discriminatory capacity of these Y-markers in the Inner Mongolia Han population were 0.9999 and 0.98457, respectively. Haplotype resolution comparisons of different Y-marker groups in the studied Han population revealed that higher haplotype resolution could be achieved for these 44 Y-markers. Population genetic analyses of the Inner Mongolia Han population and other reference populations demonstrated that the studied Han population had relatively closer genetic affinities with Northern Han Chinese populations than Southern Han and other minority groups. To sum up, these 44 Y-markers can be utilized as a valuable tool for male differentiation in the Inner Mongolia Han population.
A simple method of demonstrating Huygens’ principle in the classroom
Authors: Hughes Stephen , Gurung Som
Published: February 2021

Huygens’ principle in which every point on a propagating wave acts like a point source of radiation is a foundation principle of physics. Normally, Huygens’ principle is demonstrated by passing a wave, for example a water or light wave through an aperture comparable in size to the wavelength. In this paper, an experiment is described in which a 0.1 mm diameter copper wire is placed in front of a laser pointer to demonstrate Huygens’ principle in empty space. The diffraction pattern was photographed using a phone camera, and the bandwidth measured using a free image analysis program, ImageJ. The diffraction diameter of the wire was

0.095
±
0.005

mm

.

The experiment can easily be performed in a classroom.
Bäcklund transformation, infinite number of conservation laws and fission properties of an integro-differential model for ocean internal solitary waves
Authors: Yu Di , Zhang Zong-Guo , Dong Huan-He , Yang Hong-Wei
Published: February 2021

This paper presents an analytical investigation of the propagation of internal solitary waves in the ocean of finite depth. Using the multi-scale analysis and reduced perturbation methods, the integro-differential equation is derived, which is called the intermediate long wave (ILW) equation and can describe the amplitude of internal solitary waves. It can reduce to the Benjamin–Ono equation in the deep-water limit, and to the KdV equation in the shallow-water limit. Little attention has been paid to the features of integro-differential equations, especially for their conservation laws. Here, based on Hirota bilinear method, Bäcklund transformations in bilinear form of ILW equation are derived and infinite number of conservation laws are given. Finally, we analyze the fission phenomenon of internal solitary waves theoretically and verify it through numerical simulation. All of these have potential value for the further research on ocean internal solitary waves.
Non-Markovian thermal-bath-induced Brownian motion in velocity space in the presence of a magnetic field at arbitrary direction
Authors: He Guitian , Tang Guoji , Tian Yan , Luo Maokang , Stanley H Eugene
Published: February 2021

In this work, from the perspective of statistical mechanics, the statistical properties of charged-particle motion in a microwave field and a magnetic field with a general direction described by a generalized Langevin equation subjected to an intrinsic noise with a power-law time decay correlation function have been studied. Using the general expansion theorem for the Laplace transform, the drift velocity of a charged particle in three directions can be expressed in terms of the relaxation functions. Based on the linear response theory, the expression of the complex susceptibilities, the spectral amplification, the stationary form of current density, and the power absorption have been obtained. It is noteworthy that the stochastic dynamics of a charged particle could be induced by fractional Gaussian noise. Additionally, the variances and covariances of charged particles have been studied based on the relations between relaxation functions and memory kernel functions.
Numerical Solution of SIRS model for Dengue Fever Transmission in Makassar Citywith Runge Kutta Method
Authors: Sanusi W , Pratama M I , Rifandi M , Sidjara S , Irwan  , Side S
Published: February 2021

The aim of this study was to obtain a SIRS model solution for the spread of dengue fever (DF) using the 4th order Runge-Kutta method. The data used was data on the number of dengue cases in Makassar city. The method used is the 4th order Runge Kutta Method. The results of this study are numerical solutions of the SIRS model on the spread of DF in Makassar city using the Runge Kutta method; Model simulation analysis shown that the estimated number of dengue cases in Makassar city, so that the government can take steps to prevent the spread of dengue in Makassar city.
An Over view on intuitionistic fuzzy topological spaces
Authors: Abdy M , Zenin S , Irwan
Published: February 2021

We present a brief overview some fundamental results on the intuitionistic fuzzy topological spaces, and give some introductory results about fuzzy open set, fuzzy closed set, fuzzy neighborhood, fuzzy interior set, fuzzy continuity, fuzzy compactness and fuzzy connectedness in these spaces.
SEIR Mathematical Model of Seizure fever in Infants Under 5 Years Old in Makassar City
Authors: Side S , Sari I , Sanusi W
Published: February 2021

This study aims to obtain a mathematical model in seizure fever; analyzing the model, simulating a seizure fever model in Makassar City, knowing the prediction of the number of seizure fever in Makassar City. This research is a study of theoretical and applied mathematics; Mathematical models in seizure fever are Suspected, Exposed, Infected and Reovered (SEIR) models; Analysis of the model using the generation matrix, simulation models with Maple software using secondary data on the number of people with seizure fever at the Haji Hospital in Makassar. The results obtained are the SEIR model in seizure fever; The results of the model analysis explain that seizure fever are at a stable stage. Model simulation results show the tendency of seizure fever in Makassar City especially in Tamalate sub-district experiencing a downward trend every year.
Comparing the performance of T
2 chart based on PCA Mix, Kernel PCA Mix, and Mixed Kernel PCA for Network Anomaly Detection
Authors: Mashuri M , Ahsan M , Kuswanto H , Prastyo D D , Khusna H , Wibawati
Published: February 2021

Statistical Process Control (SPC) is not only used to monitor the quality of manufacturing processes and services but also is applied to detect intrusions in the network. Hotelling’s T
2 chart is the SPC method that has been widely developed for intrusion detection. However, in its application, the conventional Hotelling’s T
2 chart has several drawbacks such as less effective when used to monitor large observations and quality characteristics. Conventional Hotelling’s T
2 chart is not perform-well for non-Gaussian distributed data. Also, the current conventional control chart has not been able to monitor the processes which have mixed quality characteristics. To overcome these weaknesses, two types of the control chart is proposed in this study, namely, the multivariate control chart based on Principal Component Analysis (PCA) Mix and Kernel PCA. For Kernel PCA chart, two schemes are developed, that is Kernel PCA Mix and Mixed Kernel PCA control charts. Kernel Density Estimation (KDE) is employed to estimate the control limits of the developed charts. In monitoring the network intrusion, the proposed control charts are applied to well-known NSL-KDD dataset. The evaluation performance shows that the PCA Mix chart can detect attacks occurred on the network more accurate and faster compared to the Kernel PCA Mix and Mixed Kernel PCA charts.
Bringing Real Analysis Subject Into Real Life: an Experimental Research for Prospective Teacher of Mathematics Study Program Using Realistic Mathematics Education
Authors: Ashari N W , Salwah
Published: February 2021

This research focus on describing the method used by the lecturer in understanding Prospective Teacher about the definition of Vε
(a). This research conducted in Mathematics Education Study Program, Cokroaminoto Palopo University. The data collected by using interview, observation sheet, and questionnaire. Realistic Mathematics Education (RME) used by the lecturer to deliver the material of Vε
(a). In this case the lecturer introduced three principles of RME such as guided reinvention, didactical phenomenology, and self-developed model to the prospective teacher. The result shows that prospective teachers are able to understand the definition of Vε
(a). The prospective teacher can solve or proof any problem and theorem related to definition of Vε
(a).
A Hybrid GSTARX-Jordan RNN Model for Forecasting Space-Time Data with Calendar Variation Effect
Authors: Hikmawati F , Suhartono  , Prastyo D D
Published: February 2021

Generalized Space-Time Autoregressive (GSTAR) is one of the space-time models. The GSTAR model has its limitations of not being able to model a nonlinear time series, and this can be overcome by applying a hybrid model on GSTAR. This research aims to propose modeling hybrid Time Series Regression (TSR) and hybrid GSTARX-Jordan RNN, where TSR and GSTARX model as a linear component involving the predictor variable, which is an effect of calendar variation and Jordan-RNN as a nonlinear component. This research focused on a simulation study to evaluate the goodness of the model hybrid GSTARX-Jordan RNN. There were some scenarios experimented, i.e. simulation studies in data that have linear noise and non-linear noise. The results showed that a hybrid GSTARX-FFNN, GSTARX-DLNN, and GSTARX-Jordan RNN model is the best model for predicting simulation data containing trend, seasonality, calendar variations, and nonlinear noise series compared with TSR, and GSTARX models. In general, it is in line with the results of the 2018 M4 forecasting competition show that combined models or hybrid models tend to provide more accurate forecast performance than forecast results with individual models.
Evaluating the K-Means Analysis in Clustering Area Based on Estates Productivity in Tana Luwu Using Silhouette Index
Authors: Poerwanto B
Published: February 2021

Tana Luwu is an area in South Sulawesi Province that consists of 4 districts or city, namely Luwu, East Luwu, North Luwu, and Palopo. Those regions have abundant natural resources, one of which is plantation crops. In this manuscript, the first objective was to group the 45 sub-districts in those districts into 2 to 5 clusters based on their productivity on providing plantation crops using K-Means Algorithm. Variables used in this study are coconut, palm, coffee, pepper, cocoa, cloves, and land area. Secondly, after the clusters were formed, those were evaluated using Silhouette Index to find out the most optimum number of clusters. As the result, it was found that the optimum number was two with Silhouette Index 0,8068 while the value of 3 clusters is 0,6468. For the values of 4 clusters and 5 clusters are 0,5029 and 0,5509 respectively.
A MGSTAR: An Extension of The Generalized Space-Time Autoregressive Model
Authors: Suhartono  , Nahdliyah N , Akbar M S , Salehah N A , Choiruddin A
Published: February 2021

Up to now, Generalized Space-Time Autoregressive (GSTAR) models are focused only for univariate spatial-temporal data. This research proposes an extension of GSTAR for multivariate spatial-temporal data, known as Multivariate GSTAR or MGSTAR. Three studies were conducted in this research, i.e., theoretical, simulation, and applied studies. These studies were initially developed based on bivariate spatial-temporal data. A theoretical study was done by developing MGSTAR based on the framework of Vector Autoregressive (VAR) models. In this proposed MGSTAR model, the parameter estimation was obtained by implementing Ordinary Least Square (OLS) method. The simulation study showed that OLS method yielded unbiased estimator. Furthermore, the MGSTAR models have applied for forecasting CO and PM10 at three stations in Surabaya City. The results showed that MGSTAR model could explain well the dynamic relationship between variables and locations. However, based on Root Mean Square Error Prediction (RMSEP), the results showed that MGSTAR model yielded less accurate forecast than ARIMA model due to MGSTAR employed simpler order of Autoregressive. Further research is needed to expand the MGSTAR model with a higher order of Autoregressive, particularly to handle trend and seasonal order.
Modeling of Children Ever Born in Indonesia Using Fourier Series Nonparametric Regression
Authors: Octavanny M A D , Budiantara I N , Kuswanto H , Rahmawati D P
Published: February 2021

Nonparametric regression aims to determine the relationship between response and predictor when the data does not follow a specific pattern. Fourier series is a nonparametric regression approach which has the flexibility to follow the characteristics of data. The purpose of this study is to obtain the estimator of the nonparametric regression using Fourier series and apply the model to the fertility data. The fertility rate represented by children ever born is one of the demographic factors that determine the decline in population growth rate. The data were obtained from the Indonesia Demographic and Health Survey 2017 with children ever born as a response. The predictors are the proportion of women graduating from junior high school, the proportion of women having sex before the age of 18, the proportion of women using a modern contraceptive method, and the infant mortality rate. The relationship between response and predictors tends to have a repetitive pattern with a certain trend. The best nonparametric regression model of children ever born in Indonesia is obtained by using 3 oscillation parameters for each predictor variable with GCV = 0.0534 and R-square = 80.04%.
Feature Selection using Simulated Annealing with Optimal Neighborhood Approach
Authors: Syaiful A , Sartono B , Afendi F M , Anisa R , Salim A
Published: February 2021

The one of the metaheuristic approaches that can be used was simulated annealing (SA) algorithm which inspired by annealing metallurgical process. This algorithm shows advantages in finding global optimum of given function which will be used in feature selection. In this study, we will trying to combine the neighborhood size and limited approach by using data simulation comparing between two function which is Akaike Index Criterion (AIC) function and Bayesian Index Criterion (BIC) function. The result of this experiment shows that the selected variables using optimal neighborhood size and limit the selected variable provide the result of goodness model around 98% of accuracy and specificity and 94% of sensitivity compared with simulated annealing algorithms without any modification using both AIC function and BIC function, and in the simulation also shows that BIC function give better result than AIC function.
Prediction Insolvency of Insurance Companies Using Random Forest
Authors: Rustam Z , Saragih G
Published: February 2021

Insurance companies have an important role in economy because they support every insured companies, so it is guaranteed financially, therefore is important to predict the insolvency of insurance companies. Insolvency prediction is like an early warning system for insurance companies. Rustam and Yaurita had predicted insolvency of insurance company by using Spanish non-life insurance firm data from Prof. Dr. Maria Jesus Segovia using support vector machines and fuzzy kernel c-means as classifiers (2018). Furthermore, this research is novel based on the use of random forest as a classifier. The result obtained is reported in percentage of accuracy, both in training and testing of random forest, which was 100% while used 50% training data with entropy and the number of estimators is 100 as hyperparameters. This classification, therefore, shows the best value in contrast with prior methods, even though only 50% of training data set was used.
Schizophrenia Classification Using Fuzzy Kernel C-Means
Authors: Hartini S , Rustam Z
Published: February 2021

Schizophrenia is a severe mental disorder that induces the mind, feeling, and behavior. Earlier treatment for this disease is essential; therefore, the ability to predict schizophrenia also becomes essential. Fuzzy kernel c-means was proposed in this research, utilizing the data obtained from Northwestern University, which consists of 171 schizophrenia and 221 non-schizophrenia samples. There are several kernel functions; however, RBF and polynomial kernel function were used. As the evaluation, k-fold cross-validation with k = 3, 5, 7, and 10 was used, and each of the performances was analyzed. From the experiments, it was concluded that fuzzy kernel c-means using RBF kernel with σ = 0.01 and σ = 1 provides better performance than polynomial kernel with a similar running time with fuzzy c-means.
Classification of Infarction using Random Forest
Authors: Rukmawan S H , Aszhari F R , Rustam Z , Pandelaki J
Published: February 2021

Stroke is a condition caused by disruption in the blood supply to the brain. When the flow of blood is decreasing and resulting dead brain tissue that is called an infarction. If this condition not treated immediately and don’t get the right treatment will cause the death of the brain. Therefore, the classification of infarction is important to help increase the life expectancy of the patients. In this study, we are using infarction data from the Department of Radiology at Dr. Cipto Mangunkusumo Hospital and propose a random forest method to help the health sector for detecting infarction quickly and accurately. The best result by using the random forest method is 94.44 percent with 65 percent as training data.
The Application of Cooperative Learning Type Group Investigation to Improve Students’ Learning Activities and Learning Outcomes
Authors: Fitriani
Published: February 2021

This study aims to improve students’ learning activities and learning outcomes by using cooperative learning model type group investigation. This research is a classroom action research which involves 23 students of XI in SMAN 2 Siak Hulu. The research instrument consists of observation sheet, syllabus, lesson plans, guide book, group worksheet, and individual worksheet. The research is conducted in two cycles, cycle 1 and cycle 2. The research finding suggests that group investigation method can increase students’ learning activities and learning outcome. During the research, the teacher needed to consider time management in delivering the material, discussion. Then, students’ activities must be observed thoroughly. The teacher must be competent because this model requires teachers who can carry out a casual, varied and more student-focused teaching style.
Correlation between Teacher Guidance and Parent with Chemical Literation Ability of Junior High School Student
Authors: Sugiarti  , Mulbar U , Adnan  , Bahri A
Published: February 2021

The ability of chemical literacy of junior high school students needs to get better attention so that they can easily understand chemistry lessons at the next level. Teachers and parents should be involved in guiding students to learn so that their understanding structures are well organized and clear. This research was quantitative descriptive study that aims to find out the chemical literacy ability, form of teacher and parent guidance, correlation between teacher and parent guidance on literacy chemical of student of grade VIII on atomic, ionic, and molecular topic. The research sample of 234 students was taken by simple random for four schools at South Sulawesi. The design of this study is a survey research with the study population was all grade VIII junior high school students in South Sulawesi. The ability of chemical literacy tested consists of the ability to understand the question methods that lead to scientific knowledge and the ability to organize, analyze and interpret quantitative data and scientific information with a total of 10 indicators. The instruments used included a questionnaire, and multiple choices test forms of 10 items that had been tested for validity and reliability. The provision of questionnaires aims to determine the role of teachers in the learning process at school and the role of parents in guiding students at home. The test is used to determine the literacy ability of students. Data were analyzed using descriptive quantitative statistics. The results of the data analysis found that average of the chemical literacy ability of junior high school students in South Sulawesi is in the category. The average correlation between teacher guidance with students were high category, and the average correlation between parent guidance with students were enough category.
Measurement of Crack Damage Dimensions on Asphalt Road Using Gabor Filter
Authors: Sulistyaningrum D R , Setiyono B , Anita J N , Muheimin M R
Published: February 2021

Cracks are a type of road defect that is often found on highways. Crack dimension information is needed in the process of road maintenance and repair. Image processing methods have been widely used for visual detection of damage. One of them is the Gabor filter method, which has been used for texture-based defect detection. In this study, the detection and measurement of crack dimensions on the asphalt road have been carried out using Gabor Filter. The steps to measure crack dimensions consist of image acquisition, pre-processing, segmentation, labeling, and dimension measurement. The results of experiments on 15 crack images showed that the method’s accuracy reached 95.191% for the crack area length and 87,935% for the crack area width.
Reactive PowerControl of Grid-Connected Photovoltaic Power Generation
Authors: Jin LiJun , Gong XueJiao , Sun QiYa , Sha MaiChao
Published: February 2021

In order to solve the problem of grid-connected point voltage exceeding the limit caused by large-scale photovoltaic power stations connected to the grid, and to increase the penetration rate of photovoltaics in the grid, photovoltaic power stations should have more flexible reactive voltage regulation capabilities to provide reactive power support to the grid. To this end, this paper establishes an equivalent aggregation model for large-scale photovoltaic power plants. Under the premise that the photovoltaic power station is not equipped with reactive power compensation devices and the inverter reactive power output is zero, it is analyzed that due to the existence of line and transformer impedance, photovoltaic access reduces the grid the problem of voltage stability. Based on the above reasons, this paper proposes a three-layer reactive power control strategy for photovoltaic power plants from the perspective of the cooperation between the reactive power compensation device and the grid-connected inverter. This strategy coordinates the reactive power output between the reactive power compensation device and the photovoltaic power generation unit and between the inverters of a single photovoltaic power generation unit. Under this control strategy, the photovoltaic power plant can regulate the grid voltage more effectively, and the active and reactive power losses of the grid are minimized on the premise that the grid voltage is maintained within the required range. Combined with the photovoltaic array power reduction operation strategy, the stable operation of the power grid is ensured under the premise of a certain reactive power output capacity of the photovoltaic power station. Finally, an example is used to verify the correctness and effectiveness of the strategy.
Research on Transaction Clearing Method for Power Distribution Network Considering Reactive Power Support Ability of Renewable Energy
Authors: Huang Kangqian , Xiang Dejun , Huang Jingyin , Hu Xin , Zhou Rui , Huang Zhisheng
Published: February 2021

In order to solve the transaction clearing problem caused by the insufficient reactive power support ability of renewable energy, the reactive power regulation characteristics of renewable energy are studied and a power distribution network transaction clearing method considering renewable energy reactive power support ability is proposed. Wind power, photovoltaic and other renewable energy sources are generally connected to the power grid through power electronic equipment. Within the capacity control range, there are two adopted control modes including constant voltage and constant reactive power. According to the operation needs of power distribution network, a transaction clearing model aiming at the lowest power energy purchase cost is proposed. A transaction clearing method based on reactive power relaxation is proposed to improve the solving efficiency. Finally, a case study based on the REDS-32 buses system shows that the transaction clearing method can effectively consider the reactive power support ability of renewable energy sources, which could ensure that the transaction clearing results are close to the actual operation requirements and avoid the problem of bus voltage overruns affecting the safe operation of power distribution network.