Reviewerly/exHarmony huggingface dataset:
An Evaluation of the Levels of Subclinical Malaria Infection and Haemolysis among Residents of Opobo, Rivers State, Nigeria

Aim: The study was aimed at evaluating the levels of subclinical malaria infection and haemolysis among the residents of Opobo, Rivers State, Nigeria.&#x0D; Study Design: A cross sectional study design was used. The subjects were grouped into males and females and comparisons were made between positive and negative subjects of the same gender and positive subjects of different gender.&#x0D; Place and Duration of Study: The study area was Opobo Town in Opobo/Nkoro Local Government Area of Nigeria. The study was carried out within August 2nd to August 26th, 2019 and a total of 89 apparently healthy subjects were recruited, 35 males and 54 females, aged between 16 – 70 years.&#x0D; Methodology: Malaria parasite identification was done by thick and thin film using Giemsa’s stain, packed cell volume was by microhaematocrit method, plasma haemoglobin concentration and whole blood haemoglobin concentration was determined by cyanmethaemoglobin method.&#x0D; Results: The result revealed a total of 24.72% positivity and 75.28% negativity for malaria parasite infection. Among the males, 17.14% positivity and 82.86% negativity for malaria parasite infection were observed while that of the females was 20.37% positivity and 79.63% negativity. In comparison of the studied parameters made between females infected with malaria parasites and those that were not infected with malaria parasites, there was no statistical significant difference at p&lt;0.05 in plasma haemoglobin and percentage haemolysis. In comparison of the studied parameters between males infected with malaria parasites and those not infected with malaria parasites, there was no statistical significant difference in plasma haemoglobin and percentage haemolysis. On gender based comparison, there was also no statistical significant difference in level haemolysis.&#x0D; Conclusion: The study has revealed a prevalence rate of 24.72% for subclinical malaria infection and the percentage haemolysis of red blood cells in malaria infected subjects residing in Opobo Town compared to subjects without malaria parasite was not statistically significant. Based on gender difference, males were affected more than females, but the level of red blood cell haemolysis was not statistically significant after comparison.
Patient-specific geometric modeling

This chapter briefly discusses the use of medical imaging in scientific research. The overview of human-like phantoms development is followed by the introduction to patient-specific geometric modeling in biomedical applications. This chapter discusses basics of medical imaging. In this chapter, we focus on computed tomography (CT) and magnetic resonance imaging (MRI) techniques, which are able to provide three-dimensional images. The segmentation techniques for the heart and blood vessels are discussed briefly. This chapter also explains the mesh generation techniques for for various biomedical computational problems.
SoQal: Selective Oracle Questioning in Active Learning

Large sets of unlabelled data within the healthcare domain remain underutilized. Active learning offers a way to exploit these datasets by iteratively requesting an oracle (e.g. medical professional) to label instances. This process, which can be costly and time-consuming is overly-dependent upon an oracle. To alleviate this burden, we propose SoQal, a questioning strategy that dynamically determines when a label should be requested from an oracle. We perform experiments on five publically-available datasets and illustrate SoQal's superiority relative to baseline approaches, including its ability to reduce oracle label requests by up to 35%. SoQal also performs competitively in the presence of label noise: a scenario that simulates clinicians' uncertain diagnoses when faced with difficult classification tasks.
Content Prioritization Based Self-Embedding for Image Restoration

To deal with the trade-off between Self-Embedded Image Quality, Reconstruction Reference Quality and Tolerable Tampering Rate (TTR) for authentication into digital image authentication schemes, Content prioritization based selfembedding has been proposed in this paper. Image content is prioritized on a scale of 0 to 3 prior to performing the embedding. Self-embedding into each block would then be performed on the basis of its assigned priority. Higher the priority value of a block, lesser would be the embedded information in that block and thus lesser would the imposed distortion due to embedding. The prioritization of the image content also helps in generalizing the self-embedding process. Experimental results show that the proposed scheme not only allows for high quality and high protection to high priority region but also the overall quality of the self-embedded image improved as compared to the previous schemes. Also, chosen DWT-SPHIT as reference generation mechanism allows for good quality reconstruction even at low bit rates and this in turn allows more information to be embedded into the image which means lower payload, that results in successful restoration even under high tampering conditions. Furthermore, modeling of tampering problem as an erasure channel ensures high tampering tolerance.
Awards: at Robotics and Artificial Intelligence 2020

From the effective fruition of a few International gatherings in the field of Robotics and Artificial Intelligence, the Conference Series is happy to incorporate another global meeting. The gathering is tilted as Progression on Robotics and Artificial Intelligence the meeting will be hung on July 27-28, 2020, 2020 at Chicago, USA.
THINNING STENTIFORD ALGORITHM FOR KINTAMANI INSCRIPTION IMAGE SEGMENTATION

In the copper, inscription contained writing strokes that have high historical value. Age and environmental factors cause damage to the inscription surface and also reduce the appearance of images and letters. One way to preserve it is to carry out the process of converting it into digital format. The use of the morphological operation method is very suitable to be used to improve the shape of the letters in the copper inscription. The morphological operations performed in this study were the Thinning Stentiford algorithm. Based on research that has been done, it was concluded that the Thinning Stentiford algorithm has succeeded in segmenting the letters that exist in the Kintamani copper inscription. However, there are some letters are not well segmented. This is due to the inscription background color and carved letter colors that don't have significant differences. Testing the time it was concluded that the greater the size of the image and the more letters will be segmented, the longer the processing computing.
GAME EDUKASI PEMBELAJARAN BAHASA INGGRIS BERBASIS ANDROID UNTUK SDIT SABILUL QUR’AN CENDIKIA

In this modern era, technology continues to evolve rapidly so that it affects us in various areas of life, especially in the field of education. Educational game is a digital game designed for educational enrichment, using interactive multimedia technology and having a good chance with game based. Android is a Linux-based operating system used for mobile phones, such as smartphones and tablet computers (PDA). In SDIT Sabilul Qur’an Cendikia, the English language learning has started from Grade 1, but in his studies, enough students are difficult to remember the English vocabulary that has been taught and sometimes students make mistakes in writing English vocabulary. This Android based educational Game is expected to be useful in the learning of Grade 1 children in SDIT Sabilul Qur'an Cendikia in learning English vocabulary and also can help teachers as alternative learning media in delivering Material about the English vocabulary.
How to Train your DNN: The Network Operator Edition.

Deep Neural Nets have hit quite a crest, But physical networks are where they must rest, And here we put them all to the test, To see which network optimization is best.
An Analysis about Success and Failure Factors of Innovative Schools in Chungnam Provincial Office of Education

혁신학교가 2009년부터 시작하여 2019년 3월 현재 16개 교육청 1,688개교에서 시행하고 있으며, 이에 대한 많은 연구가 시도되었다. 시행된 많은 연구에도 불구하고 혁신학교의 성공과 실패에 영향을 주는 성패 요인 분석은 부족하였다. 혁신학교를 성공적으로 운영하기 위한 성공요인을 찾는 것이 본 연구의 목적이다. 목적을 달성하기 위해 충남교육청에서 2018년과 2019년에 시행된 혁신학교 종합평가 결과를 활용하였고 평가지표가 혁신학교 성과에 미치는 영향력을 분석하였다. 우수-보통-미흡 집단 간의 지표값 차이를 ANOVA분석을 하였고, 성과에 영향을 미치는 정도를 파악하기 위해 회귀분석을 하였다. 계량적 분석의 한계를 보완하기 위해 평가보고서를 질적으로 분석하였다. 이를 통해 확인된 혁신학교의 성과에 영향을 미치는 핵심요인은 학교의 비전공유, 배움중심 수업, 전문적 학습공동체 구축, 성장지향 평가이다. 이들 요인을 잘 구축한 경우 혁신학교가 성공적으로 운영되었고, 구축하지 못한 경우 실패한 학교가 되었다. 이들 네 요인이 혁신학교의 성패를 가름하는 요인이다.The innovative school started in Kyunggi Provincial Office of Education, 2009. The number of innovative schools have increased to 1,688 schools in March, 2019. As the innovative schools have increased the researches for analyzing effects of those schools were also enriched. Even though there are many researches for innovative schools the researches on success and failure of the innovative school are very few. This study aimed at finding factors influencing successes and failures of innovative schools. To achieve this purpose data of the comprehensive evaluation of innovative schools in Chungnam Provincial Office of Education in 2018 and 2019 were used. The ANOVA and regression analysis were adopted to find the factors influencing the successes and failures of innovative schools. The finding results are as follows; The core factors influencing successes and failures of innovative schools are sharing vision and focus, meaningful learning, collective capacity and responsibility, and growth-oriented assessment. They are core factors influencing successes and failures of innovative schools. To succeed the innovative schools all members of school share the vision and focus, school teachers should develop their collective capacity and responsibility, let students have meaningful learning, and teachers should do growth-oriented assessment. Those 4 factors are major elements influencing successes and failures of innovative schools.
Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints

Automatic instance segmentation is a problem that occurs in many biomedical applications. State-of-the-art approaches either perform semantic segmentation or refine object bounding boxes obtained from detection methods. Both suffer from crowded objects to varying degrees, merging adjacent objects or suppressing a valid object. In this work, we assign an embedding vector to each pixel through a deep neural network. The network is trained to output embedding vectors of similar directions for pixels from the same object, while adjacent objects are orthogonal in the embedding space, which effectively avoids the fusion of objects in a crowd. Our method yields state-of-the-art results even with a light-weighted backbone network on a cell segmentation (BBBC006 + DSB2018) and a leaf segmentation data set (CVPPP2017). The code and model weights are public available.
THE ROLE OF CCU IN ENGLISH CLASSROOM IN INDONESIA

Language cannot be separated from culture, so if we teach a language, we also need to correlate it with culture. It implies that to teach language means to also teach the culture. Since English now belongs to the world asÂ lingua franca, used by different nationalities, the number of students who learn English increases around the world. The increase of students who learn English in countries with various ethnicities makes multicultural education in the 21st century. This phenomenon happens especially in a diverse country such as Indonesia that has thousands of ethnicities, languages, religions, and cultures. Language and religious diversity are also increasing among the nationâ€™s student population (Dilg, 2003). ln an EFL country such as Indonesia, teaching cross-cultural understanding (CCU) is extremely needed in order to understand the language taught. This paper will discuss the use of CCU in English classrooms, especially in Indonesia.
LibGuides: Gardening and Horticulture Open Access Resources: Find Open Access Books

This guide provides many open access (free to use) resources regarding agriculture, horticulture, and other topics usually covered within the University Extension programs.
A proposal for a reduced client workload model for querying encrypted databases in cloud

Cloud computing offers a considerable number of advantages to clients and organizations that use several capabilities to store sensitive data, interact with applications, or use technology infrastructure to perform daily activities. The development of new models in cloud computing brings with it a series of elements that must be considered by companies, particularly when the sensitive data needs to be protected. In this research, a model that uses a trusted third party (TTP) to enforce database security in the cloud is proposed. First, the TTP performs a partition process over the data by using an index from one of the attributes in the table, and the TTP sends to the cloud the records in encrypted format with an index. Second, the TTP analyzes the client query to retrieve a segment of the data from the cloud-based on the query conditions. The final result is submitted to the client in which a minimum workload is executed. Some simulations were performed to evaluate the efficiency of the model by using two partition techniques: Histogram based, and Mondrian or Bisection Tree-based. The strategy of the model is to process as much of the work at the TTP site and securely transmit the result.
DELINEATION OF TARGET VOLUME FOR BRAIN TUMORS IN RADIOTHERAPY USING ACTIVE CONTOUR SEGMENTATION AND SIMPSON INTEGRATION

This research conducts the delineation process for a brain tumor on the radio therapy. Delineation means the imaging process of target volume that is conducted in the beginning of Treatment Planning System (TPS). Target volume consists of gross tumor volume (GTV), clinical target volume (CTV), planning target volume (PTV), and Organ at Risk (OAR). This research aims to delineate target volume and measure the target volume axial brain tumor. The images that are used are Magnetic Resonance Imaging (MRI) including axial, coronal, and sagittal slice. Evaluation is only done with one patient affected by a brain tumor. Delineation process is performed by the active contour segmentation method and volume calculations using Simpson integration method. The delineation of target volume is conducted by segmenting each slice of images moreover they are reconstructed until the three dimension of visualized target volume is obtained. Having done this process, target area and target volume calculations are conducted. This research results range error rate for target area is 0.0006 to 0.0059 and target volume is 0.0001 to 0.0013
Spasmophilia in the Cardiological Outpatient Department: A Retrospective Study

Background: Spasmophilia also called latent tetany is a disorder with a very heterogeneous clinical manifestation which affects particulary young women. Chest pain, constriction of the throat and palpitations are symptoms common to spasmophilia and ischaemic heart disease (IHD). The objective of this work was to assess the incidence and to study the epidemiological, clinical features of spasmophilia in patients with symptoms of ischaemic heart disease. Methods: This was a retrospective study conducted at the cardiology Department of Military Hospital of Ouakam, in Dakar, Senegal, from January 1st 2009 to December 31st 2014). We included all patients who were admitted with manifestation of ischaemic heart disease and who subsequently had a negative evaluation for IHD. We observed the occurrence of neuromuscular hyperexcitability, assessed with Electromyographic (EMG) test. We collected and analyzed epidemiological, clinical, and outcomes data of Powered by Editorial Manager® and ProduXion Manager® from Aries Systems Corporation 228 patients. Results: The incidence of spasmophilia in patient’s reffered with symptoms of ischaemic heart disease was 20% and 100% in patients with normal ECG findings. The mean age of patients was 28.70 ± 18 years with a sex ratio (F/M) of 13.41. The most common presenting symptoms were dominated by chest pain (90%). a history of Insomnia was found in 31 patients (13.60%), and affective disorders were found in 55 patients (24.12%). Biochemical investigation revealed decreased serum magnesium in 5.26%. Medical examinations were normal. All patients were treated with magnesium lactate. 80.60% of patients reported after 3 months complete regression of complaints. 17.20% of patients continued to experience complaints with a significant improvement in terms of reduced frequency and intensity. No complications were noted in our patients after 12 months follow-up.
FormPATCH - Forming of Complex Composite Structures using Patching Technologies

Fiber-reinforced plastics parts produced in medium or large quantities can be manufactured by forming flat textile fabrics to a component contour. Due to the stiffness of fibrous semi-finished products, forming of complex geometries with an uncut fabric is not always possible. Various effects in the fabric structure can occur, that affect the function or design of the final component. Therefore, patch placement of cut fabrics is a common way to build complex geometries. Usually, fewer and larger patches lead to a more economical process as handling steps can be reduced. This paper presents an optimization algorithm for large patch geometries. A possibility to simulate fabric forming and resulting shear deformations is the fast, but approximate, kinematic method. We use state of the art kinematic simulation approaches and enhance them for our purposes with integration in an optimization process. The optimization objective is to generate as few patches as possible to cover the entire geometry. For the simulation, different positioned and randomly distributed starting points are generated that lead to different patches. The algorithm uses Open Cascade’s Computer Aided Design (CAD) libraries and a Qt user interface (library for cross-platform graphical user interfaces). After importing CAD parts, users can run the patch optimization algorithm, or alternatively a classic kinematic simulation by selecting a start point, a direction and fabric properties. Each calculated patch is stored locally in a Scalable Vector Graphics (SVG) file. The SVGs contain shear angles at cross-over points of the textile and, furthermore, the surrounding border of a patch. Saving this border in Drawing Interchange Format (DXF) makes it available for CNC cutters. Finally, we demonstrate the proof of concept by the experimental patching of a generic free-form part with three calculated patch geometries.
Pengelolaan Keuangan Berbasis Web PT. Mutualplus Global Resources Cabang Pontianak

PT. Mutualplus Global Resources Pontianak Sub Division consultant outsourcing company. According to the result of analysis found that processing the financial reports still using bookkeeping technique which is rewriting of notes to ledger and then converted to MS. Excel to be produced as financial reports, so the generated reports were late and not accurate. This Final Project contained about the research to solved the problems at PT. Mutualplus Global Resources by building the web-based of financial management accounting information system using waterfall model as software development method which consists of software requirement analysis, design, code generation and testing. The system is built to provides facilities for Admin &amp; Finance and Directors. Admin and Finance can manage account data, cash receipt data, cash disbursement data, access general journals, ledgers, balance sheet reports, cash receipt reports, cash disbursement reports, income statements and statement of capital reports. Meanwhile, the Director can manage user data, access general journal reports, general ledger reports, balance sheet reports, cash receipts reports, cash disbursement reports, income statements and statement of capital reports. This system is expected to improve financial management performance at PT. Mutualplus Global Resources Pontianak sub Division.
Interdisciplinarity in the development of post-classical art education

DOI:  https://doi.org/10.28925/2518-766X.2019.4.1The interdisciplinarity of art education is the universality of the art influence upon all the people’s cognitive processes and an artistically imaginative embodiment ability of any topic and plot that relates to the person — the artist and the recipient.The origins of interdisciplinarity as a scientific paradigm are in the theory of communication. The basis of interdisciplinarity lies in scientific semantics: interdisciplinarity plays a syntactic role, on the one hand, and, on the other hand, promotes the growth of semantic links in schemes and transitions between different subject areas. The promising strategic direction is to increase the cultural intensity of all academic disciplines. Simplified-practical use of art as an illustration, “figurative confirmation” of life’s phenomena ignores its high purpose.
ВІДМІННОСТІ ПРОФЕСІЙНО ВАЖЛИВИХ ЯКОСТЕЙ ТА ЇХ ВЗАЄМОЗВ’ЯЗКИ У ФАХІВЦІВ ЕКСТРЕНОЇ МЕДИЧНОЇ ДОПОМОГИ З РІЗНИМИ РІВНЯМИ ПРОФЕСІЙНОЇ КОМПЕТЕНТНОСТІ

&#x0D; &#x0D; &#x0D; Comparison of emergency medical care and disaster medicine workers groups with different levels of professional aptitude and competency has given a possibility to find out the professionally significant features and acceptable levels of their manifestation.Among the professionally significant features on emotional and will level are indices of rigidity, excitability, activity, stress vulnerability, emotional stability, anxiety and depression inclination, tenseness and frustration vulnerability, emotional exhaustion, purposefulness, assertive and aggressive actions and avoidance in hard life situations. Among the professionally significant features on motivation and value level are indices of live value of rest, social braveness, psychological tact, inclination to mutual interpersonal knowledge and understanding, organizational skills and resilience in interpersonal relationship. Among the professionally significant features on reflection and activity level are indices of moral normativity, self-control, modeling, result checking and flexibility as individual self-regulation styles, depersonalization, professional achievements reduction, satisfaction from creativity in professional activity, satisfaction by work conditions, satisfaction by appreciation of personal contribution to collective professional activity.Satisfaction from professional activity is the important criterion of workers’ professional realization and it can be used as subjective criterion of workers’ professional aptitude.Workers with low level of professional aptitude and competency have difficulties with self-regulation, but they can gain resilience in interpersonal relationship by flexible and conscious adjustment. This aim can be realized by command work and compliance with the rules of professional subordination.&#x0D; &#x0D; &#x0D;