bluuebunny/crossref_metadata_2025 huggingface dataset:
The Cultural & Developmental Niche of Religious Cognitions: Educational Implications of the Cognitive Science of Religion
Authors: Richert Rebekah
Published: May 2022

This chapter outlines how cultural practices support the development of both intuitive and explicit cognitive processes relevant to religious thinking. Cultural beliefs influence children’s religious thinking at a variety of levels. Parents and educators guide children’s learning of religious concepts and beliefs through direct instruction about religious doctrines, through guided participation in shared religious activities such as prayer and rituals, and through indirect information about adults’ own intuitions about religion that appear unintentionally in adults’ language use. Each of these processes are guided by adults’ ethnotheories about where, how, and when to engage children in religious thinking and practices.
The difference between 'placebo group' and 'placebo control': a case study in psychedelic microdosing
Authors: Szigeti Balázs , Nutt David , Carhart-Harris Robin , Erritzoe David
Published: May 2022

In medical trials, ‘blinding’ ensures the equal distribution of expectancy effects between treatment arms in theory; however, blinding often fails in practice. We use computational modelling to show how weak blinding, combined with positive treatment expectancy, can lead to an uneven distribution of expectancy effects. We call this ‘activated expectancy bias’ (AEB) and show that AEB can inflate estimates of treatment effects and create false positive findings. To counteract AEB, we introduce the Correct Guess Rate Curve (CGRC), a statistical tool that can estimate the outcome of a perfectly blinded trial based on data from an imperfectly blinded trial. To demonstrate the impact of AEB and the utility of the CGRC on empirical data, we re-analyzed the ‘self-blinding psychedelic microdose trial’ dataset. Results suggest that observed placebo-microdose differences are susceptible to AEB and are at risk of being false positive findings, hence, we argue that microdosing can be understood as active placebo. These results highlight the important difference between ‘trials with a placebo-control group’, i.e., when a placebo control group is formally present, and ‘placebo-controlled trials’, where patients are genuinely blind. We also present a new blinding integrity assessment tool that is compatible with CGRC and recommend its adoption.
Outlier detection and rejection in scatterplots: Do outliers influence intuitive statistical judgments?
Authors: Ciccione Lorenzo , Dehaene Guillaume , Dehaene Stanislas
Published: May 2022

According to a growing body of research, human adults are remarkably accurate at extracting intuitive statistics from graphs, such as finding the best-fitting regression line through a scatterplot. Here, we ask whether humans can also perform outlier rejection, a non-trivial statistical problem. In three experiments, we investigated human adults’ capacity to evaluate the linear trend of a flashed scatterplot comprising 0-4 outlier datapoints. Experiment 1 showed that participants did not spontaneously reject outliers: when outliers were not mentioned, their presence biased the participants’ trend judgments and regression line estimates. In experiment 2, where participants were explicitly asked to exclude outliers, the outlier-induced bias was reduced but remained significant. In experiment 3, where participants were asked to explicitly detect any outlier before adjusting their regression line, outlier detection was satisfactory, but the detected outliers continued to bias the regression responses, unless they were quite distant from the main regression line. We propose a simple model for outlier detection, according to which humans detect outliers by computing a z-score that estimates how far a given datapoint is from the distribution of distances to the regression line. Detection is not rejection, however, and our results suggest that humans can remain biased by outliers that they have detected.
What do we measure when we measure pubertal development? Problems and solutions in the conceptual basis of pubertal measures
Authors: França Thiago Fonseca Alves , Cogo-Moreira Hugo , Pompeia Sabine
Published: May 2022

Pubertal development influences adolescent health and behavior, but measuring puberty is challenging. Difficulties stem not only from practical issues, which have been the extensively discussed in the literature, but also from the very complexity of the theoretical basis of pubertal development from a physiological point of view. Here we discuss conceptual issues related to measuring and interpreting pubertal effects by first analyzing a widely used measure – age at menarche – as a case study. We use age at menarche as a starting point not because it is an ideal measure, but precisely because it is not, being well known for its limitations. However, our analysis shows that the most significant limitations this measure also apply to all currently used pubertal measures and arise from the fundamentally multifactorial physiological nature of pubertal development. Puberty is not a unitary phenomenon, cannot be measured directly nor be defined by individual makers, and its different markers are often discordant. We argue that a possible compromise between practical issues (building feasible/reliable measures) and theoretical ones (building conceptually sound and interpretable measures) is to treat puberty as the variance shared among multiple pubertal measures using suitable statistical methods.
An Introduction to The Impact of Universal Medicare on the Previously Insured Poor and Nonpoor, a Study on the Impact of Medicare in Nova Scotia by Murray G. Brown and Vernon A. Hicks
Authors: Marchildon Gregory P. , Di Matteo Livio
Published: May 2022

This research note directs the attention of policy scholars to a unique and important research study on Canadian Medicare that is not generally known. Conducted by Murray G. Brown and Vernon A. Hicks, the study examined the impact of Medicare on the demand for services in Nova Scotia before and after the introduction of universal medical care insurance. Titled The Impact of Universal Medicare on the Previously Insured Poor and Nonpoor, this research was written up into a report delivered to the US government but was, unfortunately, never disseminated—nor did it become known in Canada. By summarizing the history and context of the study, the approach and methods used by Brown and Hicks, and the study’s policy significance, this research note also acts as an introduction to the study.
How Progressive Is the Canadian Personal Income Tax? A Buffett Curve Analysis
Authors: Milligan Kevin
Published: May 2022

This article addresses the burden of tax revenue in Canada with particular attention to income taxes at the top of the income distribution. Theory, methodology, and measurement are central to the discussion. I find that the Canadian personal income tax is progressive and satisfies the Buffett rule comparing the top of the income distribution with the middle. In the bottom half of the distribution, issues of measurement are pivotal to characterizing the tax burden. At the top of the distribution, incidence assumptions based on different theories of capital mobility are paramount and have a large impact on measured progressivity.
New Canadians Working amid a New Normal: Recent Immigrant Wage Penalties in Canada during the COVID-19 Pandemic
Authors: Lamb Danielle , Banerjee Rupa , Emanuel Talia
Published: May 2022

The global coronavirus disease 2019 (COVID-19) pandemic has exposed and arguably intensified many existing inequalities. This analysis explores the relationship between recent immigrant earnings and the pandemic. Specifically, we attempt to empirically answer the question “Has the COVID-19 pandemic exacerbated (or mitigated) recent immigrant–non-immigrant employment and wage gaps?” We find that the pandemic did not change the labour force activity profile of recent or long-term immigrants. Moreover, the pandemic did not disproportionately disadvantage recent immigrants’ earnings. In fact, recent immigrant men who were employed during the COVID-19 crisis experienced a small but statistically significant earnings premium. This was insufficient, however, to overcome the overall earnings discount associated with being a recent immigrant. In addition, we find that the recent immigrant COVID-19 earnings boost is observable only at and below the median of the earnings distribution. We also use Heckman selection correction to attempt to adjust for unobserved sample selection into employment during the pandemic. The fact that COVID-19 has not worsened recent immigrant earnings gaps should not overshadow the large, recent immigrant earnings disparities that existed before the pandemic and continue to exist regardless of the COVID-19 crisis.
Fiddling with Southern California at a Time of Upheaval: A.E. Maxwell’s Mystery Series
Authors: Reisenleitner Markus
Published: May 2022

Between 1985 and 1993, Ann Maxwell (aka Elizabeth Lowell) and her husband Evan, a former L.A. Times crime reporter who covered international crime, co-authored a series of neo-noir crime novels featuring the private-eye narrator Fiddler, an independently wealthy, Newport-based macho man with a moral compass and a shady past from which his wealth is derived, and his partner Fiora, a high-powered Orange County banker who made her way into high finance from a humble midwestern background. While the series’s plots and characters follow established genre conventions, the novels’ settings cannily spotlight regions and locales relevant to California in which the geopolitical transformations of the later 1980s and early 1990s were concentrated. The upheaval of California’s social fabric in places such as the Gold Coast, Orange County, Napa Valley, the Mexican border, and even Santa Fe (Los Angeles’s alter ego) provide the background for plots that range from Cold War spies and smugglers to a white-collar breed of criminals such as property development scammers, art forgers, and financial fraudsters, exposing the violent and criminal underbelly of a rapidly globalizing and accelerating economic system in which (some parts of) California played a central role. This article provides a geocritical reading of the mystery series that focuses on its modes of political and social critique of the era of Reaganomics, globalization, and the financialization of property, technology, and culture. The series reveals a sustained engagement with political, social, and cultural upheavals that position these locales as sites of contestation and struggles that are, or turn, violent in a variety of ways.
ENERGY-SAVING TECHNOLOGIES MANUFACTURING OF METAL STRUCTURES WITH CORE ELEMENTS
Authors: Ospanova S.M.
Published: May 2022

The monograph analyzes various welded metal structures. The design of reinforcing cages of round, hot-rolled, cold-rolled, cold-flattened steel of periodic profile has been studied. During the welding process, the possibility of splashes has been established that affects the strength of the welded joint, and is associated with large energy losses. This phenomenon is accepted as an indicator of the quality of the welding process. The process of heating by contact welding of crossed round rods is described. It was found that the higher the current, the relatively later the limiting state sets in, the shorter the welding duration and the less the possibility of overheating the nearcontact region. Issues of rational technology of resistance welding of reinforced concrete reinforcement have been developed. The parameters of the mode of electric contact welding of crossing round rods are determined. The publication may be of interest to a wide range of readers interested in the problem of studying energy-saving technologies for the manufacture of metal structures with rod elements, including researchers, teachers and students of higher educational institutions in the field of energy conservation.
Seizmička analiza zidanih konstrukcija metodom konačno-diskretnih elemenata
Authors:   , Smoljanović Hrvoje
Published: May 2022

This thesis presents a new numerical model based on a combined finite-discrete element method, capable of predicting the behaviour of masonry structures under static, dynamic and seismic loads. A new numerical model of steel clamps and bolts in dry stone masonry structures is implemented in the available numerical cod Y-2D based on combined finite-discrete element method. Model includes several types of clamps and bolts which are frequently used in strengthening of dry stone masonry structures taking into account influence of the pulling out of the clamps and bolts from the stone block, cyclic behaviour, yielding and failure of the steel. The verification of the model and possibility of using this model in incremental dynamic analysis of real dry stone masonry structures is also shown. New material model for numerical analysis of unreinforced masonry structures was also developed. Model consists of new numerical model in contact element which simulates connection between block and mort, and new material model in finite element. Material model in finite element takes into account orthotropic behaviour, cyclic behaviour, possibility of failure and softening in pressure. Numerical model of contact element which simulate connection between block and mort take into account possibility of failure and softening behaviour in tension and shear, increasing of fracture energy in shear due to increasing precompression stress, decreasing friction coefficient due to increasing shear displacement as well as cyclic behaviour connection between mort and block. The verification of the model was performed on examples by comparing it with the results obtained with the known numerical and experimental results from literature. New numerical model for seismic analysis of reinforced masonry structures was also presented. Model consists of synthesis of new developed material model for unreinforced masonry structures and previously developed numerical model for analysing reinforced concrete structures.
Ciljano ubrzanje u višemodalnoj metodi naguravanja u potresnoj analizi A/B konstrukcija
Authors:   , Balić Ivan
Published: May 2022

This thesis presents a new nonlinear static multimodal pushover analysis with the inclusion of a large amount of equivalent viscous damping. The term of target acceleration and the formulation of the procedure for determining the target acceleration are presented. The targeted acceleration is defined as the minimum acceleration of the base that leads to the ultimate limit state of structure, which represents the lowest seismic resistance. The targeted acceleration is achieved with iterative multimodal pushover method according to the envelope principle. Two combinations of modes are analysed, linear (L) and square root of sum of square combination (SRSS). Examples of presented R/C frames and mixed frame and wall system show that the L combination is more unfavourable than the SRSS combination of modes because of the lower level of the target acceleration. Interference of modes on linear and non-linear level also shows that the linear (L) combination is more frequently unfavourable than the root (SRSS) combination of modes. As a part of this thesis a new formulation for determining the equivalent viscous damping of construction is developed. A validation of the targeted acceleration method in multimodal pushover procedure with dynamic response of the R/C frames is conducted. Real earthquake accelerograms are used for seismic excitation. Taking into account the calculated equivalent viscous damping and usability of capacity curve up to 3/3 of maximum displacement, by comparing the targeted acceleration of multimodal pushover method and failure peak ground acceleration obtained by dynamic response of construction proves to be an excellent agreement between the target acceleration and the failure peak ground acceleration. This proves that the equivalent viscous damping calculated according to the new formulation exposed in this thesis is real and that it is significantly higher than what is suggested in the literature. A practical procedure for determining the targeted acceleration in multimodal pushover method was shown, which can also become a simple tool for practical nonlinear static analysis of R/C structures exposed to earthquake action.
Gender as a Risk Factor for Cardiovascular Disease in type 2 Diabetes-Sudan
Authors: Abderahman Nahla Ahmed Mohammed
Published: May 2022

OBJECTIVES: Researchers intended to see if there was a link between gender and an increased risk of dyslipidemia and cardiovascular disease (CVD) in Sudanese people with type 2 diabetes mellitus (T2DM) by measuring fasting plasma glucose (FPG), glycated hemoglobin (HbA1C) and lipid profiles as well as blood pressure. MATERIALS AND METHOD: During the period of April 2012 and March 2013, a case-control study was conducted in Central Sudan. The study involved 300 people who met the inclusion criteria, who were divided equally into diabetes, diabetic hypertension, and non-diabetic non hypertensive (NDNH) groups to estimate FPG, HbA1C, and lipid profile levels (TC, HDL-C, LDL-C, and TG). A15, a random access auto-analyzer bio system, was used to analyze the samples. A questionnaire was completed, which included personal information, anthropometric and biochemical measurements. After each respondent gave verbal consent, venous blood was drawn after an overnight fast. The statistical analysis was done with the help of a statistical software for social sciences (SPSS version 16, Chicago, IL, USA). RESULT: In the women's group, statistically significant differences in anthropometric measurements (WC =0.017, BMI =0.004, SBP <0.0001, DBP=0.029) and biochemical measurements (FPG <0.0001, HbA1C =0.007, HDL-C=0.027) were discovered when the means were compared. When the mean HDL-C values of diabetic and diabetic hypertensive women were compared, there was a significant rise of 0.029. Men, on the other hand, had statistically significant disparities in anthropometric parameters, with WC=0.001, BMI <0.0001, and SBP <0.0001. FPG showed a significant increase of <0.0001, whereas HbA1C mean in diabetes and diabetic hypertensive patients showed poor management with no significant increase (0.615). HDL-C had a modestly high mean (0.089), while DBP had a non-significant increase (0.172). CONCLUSION: Diabetic and diabetic hypertensive women were at increased risk of dyslipidemia and CVD.
Adding GABA to Insulin Leads to New era in Type 1 Diabetes Management
Authors: Younis Mahmoud
Published: May 2022

Introduction: Some risks factors associated with COVID-19 infections were established such as coronary artery disease in patients with SARS-CoV-2 infections. The use of highly concentrated medications according to Arndt Schultz Law can induce reduction in the vital energy, leading to stagnation of Blood and propensity to have myocardial infarction even without arterial obstruction. Purpose: to demonstrate that patient with COVID-19 infection that received highly concentrated medications to treat this infection, have more propensity to develop myocardial infarction some days after the treatment instituted. Methods: through one case report of 42 years-old-male patient with history of acquired COVID-19 on January 2nd 2021. He was admitted in the hospital due to dyspnea symptoms, myalgia, and needs oxygenation. He received the medications, Ivermectin, Hydroxychloroquine, corticosteroids. After 18 days of the initial manifestations, the patient felt pain in the chest and went to the hospital and they found that his troponin was increasing gradually and after two hours of it increased many times and the physician decided to admit him again in the hospital to make more exams. The patient was submitted to catheterization and the result of this procedure were that all his coronary were in perfect state of health without any obstruction and they treated him as he had myocardial infarction. After three months, the patient went to my clinic due to post herpetic neuralgia and also to evaluate his condition and I performed the chakras’ energy centers measurement. Results: the results of this chakras’ energy centers measurement revealed that all his chakras were in the lowest level of energy (rated in one) with exception of the seventh (that was normal, rated in eight). I began his treatment using homeopathies medications according to the theory Constitutional Homeopathy of the Five Elements based on Traditional Chinese Medicine. Conclusion; the conclusion of this study is that patients treated with highly concentrated medications to treat SARS-CoV-2 infection can develop myocardial infarction even without arterial obstruction due to energy deficiency state prior to this infection and aggravated many times with to the use of any type of highly concentrated medications to treat this kind of infection, because it will reduce the vital energy that was already very low before the infection and will cause stagnation of Blood in any part of the body, in this case, inside the coronary artery.
Migraine-Current Understanding and Pathophysiology
Authors: khan Nida Tabassum , Ijaz Ali
Published: May 2022

A migraine is a headache episode ordinarily happens in stages and can keep going for a considerable length of time. Serious cases can influence an individual's everyday existence, including their capacity to work or study. Headache can influence individuals in various ways, and the triggers, seriousness, manifestations, and recurrence can change. Certain individuals have more than one episode every week, while others have them just incidentally. The reasons for migraine aren't actually clear, however hereditary qualities and climate really do assume a part. Migraine frequently runs in families, so there's probable an inherited connection.
A New Diet Therapy Protocol to Manage Type 1 Diabetes Mellit us in Adults
Authors: Foureaux Giselle , Felizardo Amanda Aparecida , Bosco Paiva Caroline de Sousa , Freitas Jorge Carlos Eduardo de
Published: May 2022

Type 1 diabetes mellit us (T1DM) is an autoimmune disease characterized by the destruction of beta cells and absolute insulin deficiency. T1DM usually appears in childhood and adolescence, but it can also be diagnosed in adulthood. For decades, American Diabetes Association (ADA) guidelines recommended consuming 50-60% of a diabetic's daily calories as carbohydrates. With these guidelines, the average number of patients with T1DM in the therapeutic goal (less than 7%) of glycated hemoglobin (HbA1c) in the world is no more than 10-15%, that is, we are not being effective in the treatment, either due to inadequate guidance, such as poor adherence due to difficulty in following the diet proposed by the ADA. Since 2019, the ADA recognized, albeit timidly, the low-carbohydrate diet (low-carb diet) as an acceptable approach, being the most studied, safe and effective strategy for the treatment of type 2 diabetes mellit us (T2DM). We recognize these advances, but we know that much remains to be elucidated, especially with regard to the treatment of T1DM. With that in mind, we developed a protocol [1], which aim a reduction in glycemic levels, a longer time on target with less hypoglycemia, a reduction in glycated hemoglobin and insulin doses, thus promoting an improvement in the patient's health and quality of life.
Resolution of Longstanding Unilateral Facial Palsy after Receiving BNT-162b2 Vaccine: off Target Beneficial Effect or Reverse Nocebo Phenomenon?
Authors: S M Leung John
Published: May 2022

A patient had complete left facial palsy followed by minimal residual left facial palsy for the next nine years. In anticipation of oncoming waves of new SARS-CoV-2 variants, and after due consideration, he took the BNT-162b2 vaccine. To his surprise his residual facial palsy gradually and almost entirely recovered after completing the two-dose vaccination, with no relapse up to six months’ followup. The mechanism and significance of such an off-target beneficial effect is discussed with conceptual projection into the future development.
Гендер и гендерная идентичность: ретерриторизация означающего
Authors: Великодна Мар’яна Сергіївна
Published: May 2022

The article is devoted to the problem of deterritorization of signifier of gender and gender identity. The author attempted to reterritorize it to the land of gender's meaning by the theoretical analysis of its genesis and relation to one's personal experience of sex.
Личностно-значимые паремии в визуальном коде сновидения: случай из психоаналитической практики
Authors: Великодна Мар’яна Сергіївна
Published: May 2022

Виклад психоаналітичного кейсу із прикладом роботи з особистісно-значимими пареміями клієнта.
Active Citizenship of Ukrainian Teenagers
Authors: Шестопалова (Бондар) Катерина Миколаївна
Published: May 2022

Adaptation of the questionnaire "Active citizenship of young people" by Polish psychologists Anna Zalewska, Beata Krzywosz-Rynkiewicz was conducted on a sample of 206 people (11 – 14 – 17 year-old).
ВИКОРИСТАННЯ АЛГОРИТМУ ЗБУРЕННЯ ДАНИХ ДЛЯ ЗАХИСТУ КОНФІДЕНЦІЙНОСТІ
Authors: Ференс Володимир
Published: May 2022

В роботі проведено дослідження алгоритмів захисту конфіденційності для великомасштабних даних на основі машинного навчання. У сучасному світі у повсякденному житті та для дослідників і практиків проблема захисту конфіденційності великих даних є чи не найосновнішою проблемою та актуальною задачею. За результатами проведених досліджень удосконалено метод захисту конфіденційності для більш ефективного використання енергоносіїв. Також набув подальшого розвитку метод, за допомогою якого забезпечується можливість імплементації його у систему охорони здоров’я.
РОЗРОБКА МЕТОДІВ АНАЛІЗУ СТРУКТУРОВАНИХ МЕДИЧНИХ ЗАПИСІВ ДЛЯ СИСТЕМИ ОБМІНУ МЕДИЧНОЮ ІНФОРМАЦІЄЮ
Authors: Гаген Валентин
Published: May 2022

Наведені причини необхідності створення методів аналізу структурованих медичних записів при розробці системи обміну медичною інформацією між різними медичними інформаційними системами. Запропоновано теоретико-множинну модель аналізу даних FVA. На основі даної моделі побудовано модель інформаційної системи, що використовує структуровані дані. Проведено дослідження медичних систем за впровадження FVA-моделі, на основі чого було запропоновано принцип роботи системи обміну медичною інформацією «Елемент», в якому  перевірка медичних записів складається з чотирьох етапів. При обробці медичних записів встановлюються зв’язки між полями F, їх значеннями V, функціями точності A та медичними записами MR.На основі FVA-моделі запропоновано базу даних системи обміну медичною інформацією, побудовано її структуру та представлено її компоненти. Структура бази даних складається з наступних компонентів: медичні інформаційні системи, медичні записи, пацієнти, лікарі, медичні заклади, медичні стандарти, ключові слова, синоніми до ключових слів, помилки в ключових словах та функції точності. Даних компонентів достатньо для представлення системи обміну медичною інформацією на основі FVA-моделі.
ANALYSIS OF CRUDE PALM OIL (CPO) QUALITY BASED ON VACUUM DRYER PERFORMANCE AT PRIMAJASA PALM OIL MILL
Authors: Muarif Agam , Mulyawan Rizka , Fitria Marisa
Published: May 2022

The products produced at the Primajasa Palm Oil Mill are Crude Palm Oil (CPO) and palm kernel (kernel). The palm oil processing process goes through several stations, including loading ramp station, sterilizing station, threshing stations, digesting and pressing station, clarification station, and kernel stations. In the palm oil processing industry, the main factors that can cause damage palm oil quality are high moisture content and free fatty acid (FFA) levels. This study aims to analyze the quality of CPO based on the performance of the vacuum dryer at the Primajasa Palm Oil Mill as seen from the free fatty acid (FFA) and moisture content. The average results obtained from the analysis of the moisture content of CPO before entering the vacuum dryer and after leaving the vacuum dryer were 0.57% and 0.27%. Meanwhile, the average results obtained from the analysis of FFA CPO levels before entering the vacuum dryer and after leaving the vacuum dryer were 3.63% and 3.57%. Based on these results, it is known that a vacuum dryer can reduce the value of moisture content and FFA levels contained in CPO. These results also indicate that the moisture content and free fatty acid (FFA) content in the sample are in accordance with the national quality standard of CPO.
PELATIHAN SKRINING FITOKIMIA BAGI GURU-GURU SAINS TINGKAT SMA
Authors: Yabansabra Yuliana , Futwembun Alowisya
Published: May 2022

The preliminary test research in the active compounds of plants are needed. The preliminary test often known as phytochemical screening is the qualitative test for the review of secondary metabolites content determine in group samples. Nowadays, Indonesian society starts to publish the heritage about traditional medicine, using plant or animal species, thus came the term "Back to Nature" but still many plants are known yet about the content of secondary metabolites based on qualitative and quantitative.  It should be carried out research related to content and activities of certain medicinal plants. The training screening candidates phytochemical medicinal plants for high school teachers gave the positive impact  to review and conduct the simple research especially medicinal plants (ethnobotany and chemistry natural materials). A total of twenty participants were attended  the training activities. The training activities was run well.
PELATIHAN PENGEMBANGAN PLTMH BERBASIS MASYARAKAT MANDIRI
Authors: Patabang Djuarensi , Pagasis Thomas
Published: May 2022

The community service was conducted at the Laboratory of the Faculty of Engineering, Cenderawasih University. The topics is The Development Training of  "MHP Community-Based Self", given the potential for development of renewable energy sources potential so desperately needs a good knowledge of how business can be done to develop the potential utilization of renewable energy, especially the MHP as electricity generator spread in Papua based society. The approach offered in this activity is to provide an overview of activities that will be implemented in the development of electrical energy (MHP) based independent community. Implementation of these activities are done through training and simulation in the field how to ultimately determine the location of micro hydro power plants, and utilization of energy available in the location to be effective and efficient in their utilization, especially for the development of home industries in the villages. It is hoped this activity will produce a group of people who can develop electrical energy independent community-based MHP and produced a training module for community service learning development of micro hydro power plant (MHP). The impact of this activity can form a community of skilled, creative, innovative and independent as well as increased utilization of new and renewable energy, especially in the field of micro hydro power plant as well as the needs of the community on electrical energy can be addressed and their efforts in the community independent produktivities.Keywords: Papua, MHP, energy, produktivities
CORRELATION BETWEEN ONLINE LEARNING DURING PANDEMI COVID-19 TO SENIOR HIGH SCHOOL STUDENTS MOTIVATION IN LEARNING CHEMISTRY IN KENDARI
Authors: Aminuddin Aminuddin , Nurlansi Nurlansi , Rahman Abraham
Published: May 2022

The aims of this study is to ivestigate the correlation between online learning during the Covid-19 pandemic and the motivation to study chemistry for Class XIth grade of senior high school students in Kendari City. This research is a quantitative descriptive research using survey method. The population of the study were teachers and students in XIth grade of scienein  Kendari City with 17 teachers and 2266 students. The sample used purposive sampling technique with a sample of 325 students, while the teacher sample was the entire population. The data used are questionnaires (questionnaires), observations, and structured interviews. Data were analyzed descriptively and inferentially. The results showed that the online learning process was running quite well in the medium category with an average value of 71.21, and the average value of learning motivation of 71.12 belonging to the medium category. The results of a simple correlation test show that online learning with learning motivation gets a correlation coefficient value of 0.148 which indicates that there is a positive and significant relationship between online learning during the covid-19 pandemic on learning motivation and learning achievement of XI  grade of senior high school students in Kendari City.
DEVELOPMENT OF STEM-PjBL INTEGRATED PHYSICS MODULE (Science, Technology, Engineering, and Mathematics – Project Based Learning) IN DIRECT CURRENT ELECTRICITY MATERIALS TO IMPROVE LEARNING OUTCOMES
Authors: Widiawati Reni , Virman Virman , Siallagan Johnson
Published: May 2022

This research is a research and development (research & development) which aims to find out how to make an integrated physics module STEM-PjBL, how to develop an integrated physics module STEM-PjBL, the feasibility of an integrated physics module STEM-PjBL, and learning outcomes using the integrated physics module STEM-PjBL on direct current electrical materials and the advantages and disadvantages of the STEM-PjBL integrated physics module.The results of the study show that there is an increase in student learning outcomes after using the STEM-PjBL integrated physics module, based on the average n-Gain result of 0.66 in the medium category which means that the use of the STEM-PjBL integrated physics module is good in improving student learning outcomes
GUIDED INQUIRY-BASED MODULE DEVELOPMENT INTEGRATED SCIENCE LITERATURE ON THERMOCYMIA MATERIALS
Authors: Sutiani Ani , Lestari Lili
Published: May 2022

This research is a type of Research and Development research that aims to develop a guided inquiry-based module that integrates scientific literacy in thermochemical material. The subject of this research is an integrated inquiry-based module on scientific literacy. The object of this research is thermochemical material. This study refers to the Borg and Gall steps but is limited to 5 steps or stages. The steps begin with data and information collection, planning the development of guided inquiry-based modules, initial product development, initial field trials, and revision of test results. The module that has been developed is validated by 3 material expert validators and 3 media expert validators. Then, the module was tested on 2 teachers and students of class XII-IPA 4 totaling 34 students of SMA Negeri 1 Tebing Syahbandar to see the attractiveness of the module with the data collection method using a research instrument in the form of a questionnaire. The results showed that the guided inquiry-based module integrated scientific literacy on thermochemical material was declared feasible after being validated by obtaining an average percentage of material experts of 84.92% with a feasible category and an average percentage of media experts of 84.93% with feasible category. The average percentage of teacher responses of 93.45% with a very interesting category and the average percentage of student responses of 82.52 % with a very interesting category.
Analysis of Saturation in the Emergency Department: A Data-Driven Queuing Model Using Machine Learning
Authors: Wartelle Adrien , Mourad-Chehade Farah , Yalaoui Farouk , Laplanche David , Sanchez Stéphane
Published: May 2022

Emergency department is a key component of the health system where the management of crowding situations is crucial to the well-being of patients. This study proposes a new machine learning methodology and a queuing network model to measure and optimize crowding through a congestion indicator, which indicates a real-time level saturation.
Pretrained Neural Networks Accurately Identify Cancer Recurrence in Medical Record
Authors: Kaka Hussam , Michalopoulos George , Subendran Sujan , Decker Kathleen , Lambert Pascal , Pitz Marshall , Singh Harminder , Chen Helen
Published: May 2022

Cancer recurrence is the diagnosis of a second clinical episode of cancer after the first was considered cured. Identifying patients who had experienced cancer recurrence is an important task as it can be used to compare treatment effectiveness, measure recurrence-free survival, and plan and prioritize cancer control resources. We developed BERT-based natural language processing (NLP) contextual models for identifying cancer recurrence incidence and the recurrence time based on the records in progress notes. Using two datasets containing breast and colorectal cancer patients, we demonstrated the advantage of the contextual models over the traditional NLP models by overcoming the laborious and often unscalable tasks of composing keywords in a specific disease domain.
A Confidence Interval-Based Method for Classifier Re-Calibration
Authors: Campagner Andrea , Famiglini Lorenzo , Cabitza Federico
Published: May 2022

We propose a re-calibration method for Machine Learning models, based on computing confidence intervals for the predicted confidence scores. We show the effectiveness of the proposed method on a COVID-19 diagnosis benchmark.
Learning Bayesian Networks for the Prediction of Unfavorable Health Events in Nursing Homes
Authors: Charon Clara , Wuillemin Pierre-Henri , Belmin Joël
Published: May 2022

This study (This research is funded by Teranga Software and the ANRT CIFRE Grant no2019/1519 for CC.) proposes the use of Bayesian Networks for the prediction of unfavorable health events, and more especially pressure ulcers, in nursing homes. From a database of electronic medical records, we learn an explainable and relevant classifier, which performs better than the scores currently used in nursing homes.
Nursing Documentation and Activities when Using a Clinical Decision Support System for Sepsis and Clinical Deterioration Management
Authors: Gonçalves Luciana Schleder , Amaro Maria Luiza Medeiros , Schamne Fernanda Karolinne , Gariba Ingrid Marcela Pinto
Published: May 2022

The role of nurses in the management of sepsis and clinical deterioration, and the potential use of Clinical Decision Support Systems to identify patients’ undesired outcomes are well recognized. In order to verify the association of such a system adoption in the compliance of a hospital sepsis protocol on the nurses’ workflow and documentation, a three-stage study was conducted. Main findings show that there is no statistically significant difference between the sepsis protocol compliance data from before and after the system implementation; that nursing caring-related activities are a priority over documentation and time spent using the system; and that it was possible to validate a proposal of nursing documentation for sepsis and clinical deterioration. This contributes to the improvement of nurses’ awareness of their engagement in nursing informatics issues in the era of big data.
Tracking Temporal Clusters from Patient Networks
Authors: Lambert Judith , Leutenegger Anne-Louise , Jannot Anne-Sophie , Baudot Anaïs
Published: May 2022

Creating homogeneous groups (clusters) of patients from medico-administrative databases provides a better understanding of health determinants. But in these databases, patients have truncated care pathways. We developed an approach based on patient networks to construct care trajectories from such truncated data. We tested this approach on antithrombotic treatments prescribed from 2008 to 2018 contained in the échantillon généraliste des bénéficiaires (EGB). We constructed a patient network for each patients’ age (years from birth). We then applied the Markov clustering algorithm in each network. The care trajectories were finally constructed by matching clusters identified in two consecutive networks. We calculated the silhouette score to assess the performance of this network approach compared to three existing approaches. We identified 12 care trajectories that we were able to associate with pathologies. The best silhouette score was obtained for the network approach. Our approach allowed to highlight care trajectories taking into account the longitudinal, multidimensional and truncated nature of data from medico-administrative databases.
Automatic Objective Severity Grading of Peripheral Facial Palsy Using 3D Radial Curves Extracted from Point Clouds
Authors: Büchner Tim , Sickert Sven , Volk Gerd Fabian , Guntinas-Lichius Orlando , Denzler Joachim
Published: May 2022

Peripheral facial palsy is an illness in which a one-sided ipsilateral paralysis of the facial muscles occurs due to nerve damage. Medical experts utilize visual severity grading methods to estimate this damage. Our algorithm-based method provides an objective grading using 3D point clouds. We extract from static 3D recordings facial radial curves to measure volumetric differences between both sides of the face. We analyze five patients with chronic complete peripheral facial palsy to evaluate our method by comparing changes over several recording sessions. We show that our proposed method allows an objective assessment official palsy.
Evaluation of a Personal Digital Assistant Device Implementation for Barcode Medication Administration with Nurses Using a Likert Questionnaire
Authors: Descalzo Juan , Castro Javier , Smith María , Luna Daniel
Published: May 2022

The majority of preventable medication errors occur at the administration stage. BCMA systems are used to improve safety and prevent errors in this stage. A variety of devices can be used for this purpose. Hospital Italiano de Buenos Aires is a high complexity medical center implementing a BCMA project since 2015. It is currently migrating to PDA devices for nurses. The objective of this work is to evaluate the implementation of these new devices in selected wards at HIBA using a self-reported questionnaire. From 318 contacted nurses, 58 answered the questionnaire (18.2% response rate). Overall, agreement was high among all statements regarding the new devices. Nurses valued especially the increased safety to reduce errors, improvements in previous hospital processes and achieving improvements in the flow and quality of patient care. Nurses recommended the use of the device in their sector, with a mean score of 4.6/5 and 91.3% agreement, highest in total. This proved to be a cost-effective method of evaluation of the newly implemented devices and acceptance by nurses. Measures to incorporate the remaining nurses’ feedback should be considered.
Designing for Human Well-Being: A Case Study with Informal Caregivers of Individuals with Cancer
Authors: Ahmad Awais , Cajander Åsa , Johansson Birgitta , Tiblom Ehrsson Ylva , Langegård Ulrica
Published: May 2022

Informal Caregivers such as a spouse, other close relatives or friends of cancer patients can play an essential role in home-based treatment and care. However, the informal caregivers might not be prepared for this responsibility, and they might have several unmet requirements for taking care of patients in the home environment. The informal caregivers’ physical, social and psychological health is also profoundly affected due to the health conditions of their relatives. We propose a User-centred Positive Design as a hybrid framework by merging the traditional User-cantered design and positive design frameworks to enhance the informal caregivers’ subjective well-being. Our ongoing project (Carer-eSupport) will be used as a case study, and its main objective is to co-create and evaluate a web-based support system for informal caregivers of people with cancer. The proposed framework can be used for the design and development of health information systems with a special focus on users’ wellbeing and positive emotions.
Data Ingestion for AI in Prostate Cancer
Authors: Kondylakis Haridimos , Sfakianakis Stelios , Kalokyri Varvara , Tachos Nikolaos , Fotiadis Dimitrios , Marias Kostas , Tsiknakis Manolis
Published: May 2022

Prostate cancer (PCa) is one of the most prevalent cancers in the male population. Current clinical practices lead to overdiagnosis and overtreatment necessitating more effective tools for improving diagnosis, thus the quality of life of patients. Recent advances in infrastructure, computing power and artificial intelligence enable the collection of tremendous amounts of clinical and imaging data that could assist towards this end. ProCAncer-I project aims to develop an AI platform integrating imaging data and models and hosting the largest collection of PCa (mp)MRI, anonymized image data worldwide. In this paper, we present an overview of the overall architecture focusing on the data ingestion part of the platform. We describe the workflow followed for uploading the data and the main repositories for storing imaging data, clinical data and their corresponding metadata.
Use of e-Health in Norwegian FACT Teams: A User Perspective
Authors: Bønes Erlend , Granja Conceição , Solvoll Terje
Published: May 2022

Flexible assertive community treatment (FACT) is a model for delivering long-term, integrated and comprehensive treatment and follow-up for patients with severe mental illness. The objective of this study was to examine ICT challenges of Norwegian FACT teams. Doing observations in 3 teams and interviews with 5 teams we examined use of ICT systems, identifying challenges with the use of the electronic whiteboards, electronic health records, and team calendars. Better ICT systems and infrastructure are needed to support Norwegian FACT teams.
Determination of Cut Off for Endometrial Thickness in Couples with Unexplained Infertility: Trustable AI
Authors: Mehrjerd Ameneh , Rezaei Hassan , Eslami Saeid , Khadem Ghaebi Nayyere
Published: May 2022

Endometrial thickness in assisted reproductive techniques is one of the essential factors in the success of pregnancy. Despite extensive studies on endometrial thickness prediction, research is still needed. We aimed to analyze the impact of endometrial thickness on the ongoing pregnancy rate in couples with unexplained infertility. A total of 729 couples with unexplained infertility were included in this study. A random forest model (RFM) and logistic regression (LRM) were used to predict pregnancy. Evaluation of the performance of RFM and LRM was based on classification criteria and ROC curve, Odd Ratio for ongoing Pregnancy by EMT categorized. The results showed that RFM outperformed the LRM in IVF/ICSI and IUI treatments, obtaining the highest accuracy. We obtained a 7.7mm cut-off point for IUI and 9.99 mm for IVF/ICSI treatment. The results showed machine learning is a valuable tool in predicting ongoing pregnancy and is trustable via multicenter data for two treatments. In addition, Endometrial thickness was not statistically significantly different from CPR and FHR in both treatments.
Modeling the Information Transparency of Health Service Privacy Policies
Authors: Alic Marta , Luic Ljerka
Published: May 2022

In the present-day age of information abundance, in which the rights and freedoms in the digital environment are strengthened, information transparency is becoming an integral part of them. The rights of individuals to their own choice are more consequential in the field of privacy protection and the process of digital transformation in organizations is increasingly focused on the protection of collected and processed personal data. The basic (ex-ante) tool of transparency is the publication of privacy policies to inform the individuals with the procedures related to the collection, sharing, use and storage of their personal data, making them active shareholders in decision making process. The aim of this paper is to identify the factors influencing the information asymmetry of privacy policies in the field of health services and to provide a conceptual model for evaluating their information transparency.