Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel Approaches Towards Fast and Accurate Time series Classification

A time series is a collection of values made or recorded over time. Dynamic Time Warping (DTW) is an algorithm for measuring similarity between two time series. DTW is one the most successful similarity measure in time series data mining. First-Nearest-Neighbor Dynamic Time Warping (1-NN DTW) is the most widely used classification method on time series. Multiple recent studies show that for the problem of time series classification, 1-NN DTW is very hard to beat. The disadvantage of DTW is its quadratic complexity in the length of time series. The focus of this research is improving the efficiency of DTW while retaining its accuracy level on time series classification. The first contribution of this thesis is that, it proposes a new approximation called Control Chart Approximation (CCA). CCA representation approximates raw time series by transforming them into a set of segments with aggregated values and durations forming a reduced 3-dimensional vector. The CCA transformation attempts to reduce noise, dimensionality, and storage of time series, while retaining the significant features of the original time series. The second contribution of this thesis is extension of DTW in three dimension space as a distance measure for a 1-NN classifier. The method is called 1-Nearest Neighbor 3-Dimensional Dynamic Time Warping (1-NN 3D DTW). CCA and 1-NN 3D DTW, have focused on the reduction of data, while improving the processing time of 1-NN DTW on classification of long time series. The third contribution consists of developing Blocked Dynamic Time Warping (BDTW), a new similarity measure which works on run-length encoded time series. BDTW algorithm utilizes the repetition of values in time series to calculate the exact DTW for any- two-valued time series, and to calculate a close approximation of DTW for more-than-two-valued time series with repetition of any values. By combining BDTW and Adaptive Piecewise Constant Approximation (APCA) method, a new DTW approximation method is proposed which works for all type of time series (even without repetition of values). The effectiveness of the 3D DTW and BDTW are shown on different applications, using the case studies and 85 datasets in UCR time series classification archive.
Short report: A Phase II study of ondansetron as antiemetic prophylaxis in patients receiving carboplatin for advanced ovarian cancer

Summary Thirty four patients who were receiving carboplatin 400 mg/m2 for advanced epithelial ovarian cancer were treated with ondansetron antiemetic prophylaxis. Ondansetron was given as 4 mg oral + 4 mg iv 30 minutes prior to carboplatin followed by 8 mg oral tds for 5 days. Of the evaluable patients complete or major control of emesis on day one was achieved in 94% of previously untreated patients and 81% of patients refractory to conventional antiemetic therapy. For the 5 day period as a whole 88% of untreated patients and 69% of those with refractory emesis reported complete or major control of nausea and vomiting. Fifteen patients noted no side effects with mild headache (30%) and constipation (21%) the most frequent problems in the remainder. Ondansetron is effective antiemetic prophylaxis for carboplatin chemotherapy and should allow the majority of these patients to be managed on an out-patient basis.
Olanzapine-Induced Diabetic Ketoacidosis Resulting in Prolongation of Hospital Stay: Clinical Outcome and Cost Issues

INTRODUCTION A typical antipsychotics are as effective as traditional antipsychotics in the treatment of chronic psychotic disorders and are associated with fewer extrapyramidal symptoms.1 Despite their lower propensity to induce extrapyramidal symptoms, these drugs are associated with other adverse effects, including anticholinergic effects, hypotension, sedation, sexual dysfunction, and weight gain.2 Endocrine disturbances such as hyperglycemia, new-onset type 2 diabetes mellitus, and ketoacidosis have been associated with atypical antipsychotics, including olanzapine.3 Diabetic ketoacidosis is a serious, potentially lifethreatening metabolic complication of diabetes mellitus.4 Numerous cases of this adverse effect have been reported during treatment with clozapine and olanzapine, but fewer case reports have been published for risperidone and quetiapine.3 We report a case of prolonged hospital stay resulting from olanzapineinduced diabetic ketoacidosis in a patient with no previous personal or family history of diabetes. This case illustrates the substantial morbidity associated with this adverse effect.
Measure it!: Developing an electronic resource for scientific measurement skills

Measure It! is an electronic resource designed to help students make more accurate and precise measurements in the high school science laboratory. Students often make incorrect measurements leading to unproductive laboratory experiences. Measurement is at the heart of all quantitative scientific activities so these skills can be used in all such laboratory activities. This project sought to identify student deficiencies in measurement skills, apply literature based strategies and widely accepted design principles in order to design the computer-based measurement tutorial system called Measure It! The software was created and revised and finally a study was done to determine its effectiveness in the high school classroom. Measure It! was found to improve student measurement skills by an average of 25% using a pre-test and post-test comparison. Retention of the measurement skills was examined after one week and again after one month. The retention after both one week and one month was 96%. Additionally, Measure It! was equally effective for both female and male students. It is important that gender bias is not unintentionally introduced into any educational resource.
Optimisation based identification of cardiovascular system model parameters for patient specific diagnostic assistance

There are many examples of closed loop lumped parameter cardiovascular system (CVS) models in the literature generally designed to simulate certain types of CVS function to aid understanding and diagnosis. However, methods to make these models directly useful to medical staff have not been investigated in much detail. For diagnostic purposes, a model must simulate a given person’s CVS function as accurately as possible using as much patient specific information as available. Once a patient specific model is identified it can be used to assist medical staff in diagnosis and treatment selection.
BOLERO-6: Phase II study of everolimus plus exemestane versus everolimus or capecitabine monotherapy in HR+, HER2- advanced breast cancer.

TPS660 Background: Everolimus (EVE), an orally bioavailable inhibitor of the mammalian target of rapamycin (mTOR), has shown clinical activity as monotherapy and in combination with endocrine therapy (ET) in hormone-receptor–positive (HR+; estrogen and/or progesterone receptors) advanced breast cancer (ABC). In a pivotal phase 3 trial in patients with HR+ ABC progressing on ET, EVE + exemestane (EXE) significantly prolonged median progression-free survival (PFS) vs EXE alone per local (7.8 vs 3.2 months; log-rank P<.0001) or central (11.0 months for EVE+EXE vs 4.1 months for EXE alone; log-rank P<.0001) assessment. Capecitabine, an orally administered fluoropyrimidine carbamate indicated as monotherapy in paclitaxel and/or anthracycline-refractory ABC, has shown clinical benefit in patients with HR+, human epidermal growth factor receptor 2-negative (HER2-) ABC. The BOLERO-6 study in patients with HR+, HER2- ABC progressing on prior anastrozole or letrozole will compare PFS following EVE+EXE combination t.
Etiology and pathogenesis of thromboembolism.

: Thrombus formation in the left atrium and left ventricle is primarily due to stasis of blood which causes activation of the coagulation system. Migration of thrombotic material into the circulation depends on the dynamic forces of the circulation. Atrial fibrillation is the commonest underlying cardiac disorder predisposing to thromboembolism. Rheumatic mitral stenosis, left atrial enlargement, prior myocardial infarction, hypertension, and echocardiographic left ventricular hypertrophy are risk factors for thromboembolic stroke in elderly patients with chronic atrial fibrillation. Non-valvular atrial fibrillation accounts for 45% of cardiac sources of thromboembolic stroke and includes patients with ischemic heart disease, hypertension, thyrotoxic heart disease, hypertrophic cardiomyopathy, chronic sinoatrial disorder, and idiopathic atrial fibrillation. 15% of cardiac sources of thromboembolic stroke are associated with acute myocardial infarction, 10% with left ventricular aneurysm and mural thrombi remote from an acute myocardial infarction, 10% with rheumatic valvular heart disease, and 10% with prosthetic cardiac valves. Mitral valve prolapse, mitral annular calcium, nonischemic cardiomyopathies, infective endocarditis, nonbacterial thrombotic endocarditis, left atrial myxoma, paradoxical embolism associated with congenital heart disease, calcific aortic stenosis, and complex atherosclerotic plaque within the proximal aorta also contribute to thromboembolism.
NeuroChaT: A toolbox to analyse the dynamics of neuronal encoding in freely-behaving rodents in vivo

There is a dearth of freely-available, standardised open source analysis tools available for the analysis of neuronal signals recorded in vivo in the freely-behaving animal. In response, we have developed a freely-available, open-source toolbox, NeuroChaT ( Neuron Characterisation Toolbox), specifically addressing this lacuna. Although we have particularly emphasised single unit analyses for spatial coding, NeuroChaT also characterises rhythmic properties of units and their dynamics associated with local field potential signals. NeuroChaT was developed using Python and facilitates a complete pipeline from automation of analysis to producing and managing publication-quality figures. Additionally, we have adopted a platform-independent format (Hierarchical Data Format version 5) for storing recorded and analysed data. By providing an easy-to-use software package, we aim to simplify the adoption of standardised analyses for behavioural neurophysiology and facilitate open data sharing and collaboration between laboratories.
The Implementation of Educational Innovative Technologies in Educational System of the Republic of Kazakhstan

The present article examines the key issues of the reconstruction of the modern system of education in the Republic of Kazakhstan. The new stage of development of the Republic of Kazakhstan is oriented onto the accelerated entrance of the State into the community of 50 most competitive countries of the world. In connection with this the educational policy of Kazakhstan is focused on the formation of national model of education which is integrated into the world educational space and is providing the training of specialists that will be competitive in the global labor market. The modern reformations in the Kazakhstan society, the new strategic guidelines in the process of market economy development, the openness of society, its quick informatization and acceleration capacity have fundamentally changed the requirements for education and its interaction with the business environment. This happens due to the fact that the educational systems of most of the leading countries of the world within the decades have been forming the objectives, the content and technologies of education according to the eventual results expected from it. In the present article the author pays a special attention to the definition of “technology” which in the context of educational process is used more often instead of the term of “methodology”. The technology differs from methodology in such features as the reproducibility, the stability of results and the lack of numerous conditions of use (the talented teacher, the capable students, etc.). The term of “technology” is close in its meaning to the definition of “pedagogical management” which means in its turn the cognitive activity terms management.
Learning sound patterns in new languages

Why are long-distance processes interesting? • Many sounds can intervene without stopping the process from occurring • This complexity causes problems for learnability both from a cognitive perspective and for computational algorithms • A learner would need an enormous amount of memory to keep track of an arbitrarily long sequence of sounds • In spite of this, long-distance sound patterns are quite common in the world’s languages (Hansson 2010), and humans tend to acquire them with ease (McMullin 2016)
Disruption of Biofilms by the action of Peptides from Human Placental Extract

A biofilm is a structured consortium of bacteria embedded in a self-produced polymer matrix consisting of polysaccharide, protein and DNA that cause two thirds of all infections and demonstrate a 10 to 1000 fold increase in adaptive resistance to conventional antibiotics as well as resisting phagocytosis and other components of the body's defense system. Currently, there are no approved drugs that satisfactorily and specifically target bacterial biofilms. Human placental extract (HPE 100μg/ ml) containing biomolecules like peptides and nucleotides completely prevented biofilm formation and led to the eradication of mature biofilms in representative strains of both Gram-negative and Gram-positive bacterial pathogens including Pseudomonas aeruginosa and Staphylococcus aureus. Since peptides from plant and animal origin were reported to haveanti-microbial and anti-biofilm properties, an attempt was made to segregate the peptides identified as Fibronectin type III and Ubiquitin like moietyfrom HPE (hence known as HPE peptides) and study their anti-biofilm properties. An initial study was done with HPE containing these peptides and was shown to possess potent anti-biofilm activity. Biofilm was produced by a modification of the tube method originally described by Christensen. First the organisms were inoculated in BHI broth in Eppendorf tube followed by incubation. The growth of biofilm, when formed, was detected by staining with crystal violet and taking the OD values of the dissolved materials after eluting it with ethyl alcohol. When the results were analyzed, it was observed that the HPE peptides inhibited the formation of biofilm by Enterococcus faecalis Candida albicansandEscherichia coli and these inhibitions were statistically significant. In case of Candida albicans the HPE peptide was found to be comparable to Chlorhexidine which was used as a known inhibitor for biofilm production. Inhibition was a little less for Staphylococcus aureus in the said dose of HPE peptides ------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 03-11-2018 Date of acceptance: 17-11-2018 -------------------------------------------------------------------------------------------------------------------------------------
STRONG CONVERGENCE OF A GENERAL VISCOSITY EXPLICIT RULE FOR THE SUM OF TWO MONOTONE OPERATORS IN HILBERT SPACES

In this paper, we study a general viscosity explicit rule for approximating the solutions of the variational inclusion problem for the sum of two monotone operators. We then prove its strong convergence under some new conditions on the parameters in the framework of Hilbert spaces. As applications, we apply our main result to the split feasibility problem and the LASSO problem. We also give some numerical examples to support our main result. The results presented in this paper extend and improve the corresponding results in the literature.
Integration of the world, national, and regional cultures as the groundwork for teaching artist educational space formation

The relevance of the problem study is conditioned by the need to analyze modern processes of cultural integration as a condition for unification of peoples based on studying and generalizing lasting cultural legacy, thereby accelerating culture recreation processes that allow humanity to forge universal values to and move to a more humane level of civilization development. The cultural level of new society will depend on education modernization and modern teachers’ training.
Antibiotics in the treatment of periodontal and peri-implant
infections

his article will discuss the updated rationale for the supplementary use of systemic antibiotics (antibiotics administered per os) in periodontal and peri-implant infections in the light of the recent global antibiotic resistance threat. As a consequence, different aspects of clinical and microbiological considerations including relevant groups of antibiotics and their antimicrobial resistance, will be discussed. Aggressive and chronic periodontitis which comprise heterogeneous constellations of destructive periodontal disease, are included in the periodontitis section (1). The reader should be aware of the recently modified classification of periodontal diseases (2) where the two principal forms above have been put into the diagnosis “Periodontitis” (reclassified based on stages and grading). With the diverse clinical picture of periodontitis, the clinician will with either classification have to carefully evaluate each patient and decide an individual treatment plan. The general rule for adjunctive antibiotics must be restrictive, and the knowledge about the antibiotic resistance profile from microbiological testing is an important tool for a good treatment decision. Adjunctive use of systemic antibiotics in the treatment of periodontitis and peri-implant infections has for many years been in focus for investigators due to the diversity in clinical picture and variability in treatment response in these conditions. Antimicrobial resistance has emerged as a serious problem worldwide and is one of the most important threats to global health as a result of misuse/overuse of antibiotics. Considering the diversity of the microbiota in the oral cavity and its potential to be a reservoir for antibiotic resistance genes, the misuse of antibiotics can result in negative effects for the individual and its surroundings. With the questionable positive long-term effect of antibiotics in most periodontal infections, use of antibiotics should be restricted and only considered after microbiological diagnostic testing that includes species identification and antibiotic susceptibility testing. For peri-implant infections, there is scarce evidence for the use of systemic antibiotics with no proven effective treatment protocol for good results on a long-term basis.
Quality grading of soybean seeds using image analysis

Image processing and machine learning technique are modified to use the quality grading of soybean seeds. Due to quality grading is a very important process for the soybean industry and soybean farmers. There are still some critical problems that need to be overcome. Therefore, the key contributions of this paper are first, a method to eliminate shadow noise for segment soybean seeds of high quality. Second, a novel approach for color feature which robust for illumination changes to reduces problem of color difference. Third, an approach to discover a set of feature and to form classifier model to strengthen the discrimination power for soybean classification. This study used background subtraction to reduce shadow appearing in the captured image and proposed a method to extract color feature based on robustness for illumination changes which was H components in HSI model. We proposed classifier model using combination of the color histogram of H components in HSI model and GLCM statistics to represent the color and texture features to strengthen the discrimination power of soybean grading and to solve shape variance in each soybean seeds class. SVM classifiers are generated to identify normal seeds, purple seeds, green seeds, wrinkled seeds, and other seed types. We conducted experiments on a dataset composed of 1,320 soybean seeds and 6,600 seed images with varies in brightness levels. The experimental results achieved accuracies of 99.2%, 97.9%, 100%, 100%, 98.1%, and 100% for overall seeds, normal seeds, purple seeds, green seeds, wrinkled seeds, and other seeds, respectively
Diagnóstico de acromegalia Acromegaly diagnosis

Acromegaly as a clinical entity has been recognized since ancient times, it is considered a disease of low incidence but with great impact in terms of morbidity, mortality and associated diseases. Today its diagnosis remains a challenge because pathognomonic symptoms and signs are of slow onset and subtle, so it requires a high index of suspicion and clinical expertise from the health personnel who faces the patient with acromegaly, particularly at an early stage of the disease. This article will go through the steps to establish the diagnosis of acromegaly in a suspect patient, with special emphasis on the required hormonal measurements.
Is indocyanine green angiography a reliable tool for the assessment of venous congestion in muscle flaps

Indocyanine green (ICG) angiography is a useful technology for assessing flap perfusion in reconstructive procedures. Flap clearance of ICG can help in assessing venous congestion. To the best of our knowledge, although a few reports have evaluated its use for venous congestion, no reports have assessed the viability and applicability of this technology for this purpose in muscle flaps. A 63-year-old female patient with right leg leiomyosarcoma post-tumor resection underwent reconstructive surgery with a hemi-gastrocnemius flap. A scan of the flap using ICG angiography showed slow clearance of dye in the flap compared to the rest of the body. On postoperative day (POD) 1, the flap was re-examined using an infrared camera and it showed evidence of retained dye. On the contrary, there were no clinical signs of flap congestion. Ultimately, the patient had a successful reconstruction and an uncomplicated postoperative course despite the inconsistent findings in ICG angiography. ICG angiography is a useful tool in assessing arterial perfusion of flaps. However, further evaluation is needed to gain clinical reliability and validity in the evaluation of venous congestion in muscle flaps. Its overall utility with respect to pedicled muscle flaps has yet to be established.
DETERMINANTS OF THE UTILIZATION OF MATERNAL HEALTH SERVICES IN MYANMAR

This study explored determinants of the utilization of three types of maternal health services in Myanmar: antenatal care (ANC), institutional delivery, and postnatal care (PNC), testing in particular the predisposing factors, enabling factors and perceived need factors. This study used a secondary dataset drawn from the Myanmar Demographic and Health Survey 2015-16 (MDHS). In this nationally representative survey, the number of households that were originally involved was 12,500, among which 12,885 women and 4,737 men were interviewed. The final sample used for analyses in this study consisted of over 3,800 women who had delivered at least one child within 5 years preceding the survey. Factors associated with the utilization of maternal health services were examined with logistic and ordered logit regressions. The results suggested that, among predisposing factors, age of mothers and levels of education of both mothers and their husbands were generally positively correlated with all three maternal health services. Parity of women was negatively correlated with all the services. Among enabling factors, household wealth had a strong and positive correlation with all three maternal health services. Correspondingly, rural residence had, as expected, a negative correlation with maternal health care utilization. Finally, among perceived need factors, having a complicated (twin or multiple) pregnancy had a significant and positive correlation with the utilization of maternal health services. The results altogether indicated a clear linkage between education and economic well-being, on the one hand, and the utilization of maternal health services (and implicitly better health outcomes), on the other, in Myanmar.