bluuebunny/crossref_metadata_2025 huggingface dataset:
Aging and geriatric dentistry
Authors: Goldberg Michel
Published: August 2020

Five theories shed lights on the potential mechanisms of aging: somatic mutations, telomere loss, mitochondrial defects, accumulation of altered proteins inside proteasomes. Altogether, they are forming a network. The existence of a program of aging is not yet identified, but overlaps with a program to die. On the other hand, organisms are programmed for survival which ultimately fails. This failure results in aging. Notabily, age-related changes are alterations in the rate of transcription of specific genes, changes in protein synthesis and turnover, and numerus post-translational protein modifications, including glycation and oxidation. In response  to trauma and caries, elderly patients are more susceptible to root caries due to inadequate oral hygiene, irregular dental examinations and cleaning, salivary gland dysfunctions, insufficient use of fluoride, and removable partial dentures, which trap plaque around the teeth, favoring the formation of caries. Root surface caries become more common in the elderly, and oral lesions may be due to periodontitis, local trauma, exposure of root surfaces, related gingival recession, formation of periodontal pockets, associated to insufficient removal of food/plaque between the teeth. Epithelial thinning, decreased cellular proliferation, and reduction of submucosal extracellular matrix, leads to plications and foldings of the mucosal surface, and subsequently to bacterial colonization. Geriatric dentistry (or gerodontology) is an increasing field of dentistry, mostly associated with the growing percentage of the group of patients over 80+ years.
Subjective Well-Being among Empty-Nest Elderly and Its Related Factors：Taking Guangdong Province as an Example
Authors: Hou Yongmei , Guo Zixu , Zheng Que
Published: August 2020

Objective: To explore the the status of happiness and social support of empty nesters in Guangdong Province and analyze the relationship between the above two variables.Method: Totally 1148 empty nesters (776 males, 734 females) from 5 cities in Guangdong province are selected by stratified random sampling and conducted with Memorial University of Newfoundland Scale of Happiness (MUNSH), Social Support Rating Scale (SSRS), Mini-Mental State Examination (MMSE) and a self-edited questionnaire on the general information.Results: The total score of MUNSH is (10.20±6.37). The total score and the scores of the 3 dimensions of objective support, subject support, the use of support in SSRS are (30.79±5.51), (9.24±2.37), (19.38±4.95) and (9.22±2.15) respectively. Multiple variable linear regression show that are positively associated with the total scores of MUNSH (B= .227, .115, .098, .158, .082, respectively, P< .05). was negatively associated with total score of MUNSH (B=-.097, P< .05).Conclusion: It suggests that the sort of leisure, gender, progress rank, family characteristics, such as family economic condition and father’s career may be related factors of undergraduates life satisfaction.
legitimação de decisões jurídicas na utilização de Legal Technology
Authors: Hoffman-Riem Wolfgang
Published: August 2020

Legal Technology (Legal Tech) é um termo que se refere ao uso de técnicas digitais para aplicar e fazer cumprir a lei. Para os advogados, atualmente está surgindo um mercado para novos serviços jurídicos. Além disso, as administrações públicas e os tribunais também estão usando as possibilidades oferecidas pela digitalização. O presente artigo discute o aprimoramento de algoritmos em algoritmos de aprendizado, bem como o uso de Big Data. Ele analisa as diferenças entre decisões humanas como construções sociais e decisões algorítmicas como construções técnicas. Também descreve as oportunidades e dificuldades associadas à modelagem da lei ao software digital. As regras atuais contidas no Regulamento Geral de Proteção de Dados da UE e na lei alemã da administração pública, mas também a sanção automatizada de violações da lei na área de contratos inteligentes, servem como exemplos de abordagens que estão sendo praticadas.
Bimbingan Teknis Pengenalan Sistem Informasi UMKM Bantul Pada Kelompok Informasi Masyarakat Kabupaten Bantul
Authors: Sholeh Muhammad , Rachmawati Rr. Yuliana , Triyono Joko
Published: August 2020

The development of information and communication technology has not only changed the way people communicate, but also trading methods. The public has begun to get used to making transactions with information technology. This can be seen with the growth of online stores that offer a variety of products. As SMEs, the change in people's paradigm in transactions must be followed by offers or transactions with information technology. This opportunity must be anticipated by the SMEs. Efforts to support the use of the internet as a promotional medium are to use the MSME information system. This MSME information system is designed to promote MSME principals especially those in Bantul district. In order for the use of this MSME information system to work properly, there needs to be training and assistance in using the system. Mentoring activities have been carried out, especially for community groups incorporated in the Bantul district community information group.
FEATURES OF TREMATODE INFECTION IN PASTURE OF DIFFERENT TYPES OF LOWLAND DAGESTAN
Authors: Karsakov  , Ataev  , Zubairova  , Ataeva
Published: August 2020

In the lowland of Dagestan, sheep are infected with 5 species of trematodes – Fasciola hepatica (L., 1758), Fasciola gigantica (Cobbold, 1856), Dicrocoelium lanceatum (Stiles et Hassal, 1896), Paramphistomum cervi (Zeder, 1990), Calicophoron calicophorum (Fischoeder, 1901). The total infection of sheep with trematodas varies the extensity of invasion (EI) 56.0–76.0%, with the intensity of invasion (II) 2–2360 species. The sheep are intensely infected with fascioles on low-lying wetlands, with paramphistomatids on pastures of the lower reaches of the Sulak, Terek, Talovka, lakes Temirgoe, Achikol, and with Dicrocoelium in areas where flat steppes. Sheep are limited to trematodes invaded by salt marshes and desert lands, EI 1.6–6.6%, II 2–28 species. Sheep are intensively infected with these pathogens in the spring-summer-autumn time, when intermediate, additional hosts and the formation of parthenogenetic stages in them to adoleskarii, metacercarii are active in the biotopes between the rivers Sulak and Terek. Infection with Adolescaria fascial and Paramphistomum occurs in winter when they are snowless. Adolescaria are formed on water plants, on water surface, near sources of water. The lush greenery around the watering holes always attracts animals. In these areas, there is always a high risk of infection of sheep with fascioles, paramphistomatids.
SUPRAMOLECULAR ANTIHELMINTHIC COMPLEX ALTRIK-EXTRA FOR THE TREATMENT AND PREVENTION OF MAJOR ANIMAL HELMINTHOSES
Authors: Lagereva  , Abramov Vladislav , Musayev
Published: August 2020

Animal helminthiasis is widespread in Russia and other countries, which cause great economic damage to animal husbandry due to a decrease in all types of productivity, lagging in the growth and development of young animals and the death of animals, especially young animals. As a result of joint work of employees of the Institute of Organoelement compounds N.A. Nesmeyanova (INEOS RAS, Moscow) and VNIIP K.I. Scriabina, using mechanochemical nanotechnology, developed an innovative drug in the form of a supramolecular complex based on the substances albendazole-extra and triclabendazole and water-soluble low-molecular polyvinylpyrrallidone (PVP-17) in the ratio ABZ-extra: TKB:PVP-17=1:1:8, where 10.0 mg of the drug contains 1.0 mg of ABZ and TKB, which is a white powder with a particle size of 0.1–10 microns. The essence of this work was the development of a complex drug that could effectively and without negative consequences affect the listed 3 classes of helminths that parasitize in mixed form in animals, in order to reduce the laborious work on prevention and treatment. The supramolecular complex of albendazole-extra and triclabendazole, named by us "Altrik-Extra", is intended for the treatment of animals with acute and chronic form of fasciosis,
nematodoses of the digestive and pulmonary tracts, and it also has cestodocidal activity, which is important for deworming animals in the summer, when animals are parasitized by helminths of the listed classes in mixed form.
MORPHOLOGY OF EGGS CRASSICAUDA SP. FROM FECES OF PACIFIC BOTTLENOSE DOLPHIN
(TURSIOPS TRUNCATUS GILLII)
Authors: Loginova  , Suvorova  , Bondar
Published: August 2020

Initially, eggs Crassicauda sp. were found in the feces of the Pacific bottlenose dolphin (Tursiops truncatus gillii), which expands our knowledge of this nematode’s tropism, since crassicauda mainly inhabits the urogenital system or muscles. The material was volunteered from spontaneously infested 7-year-old female using a sterile disposable gastric tube Suyun (Unicorn Med) at Moskvarium. Feces were studied in the Center for Oceanography and Marine Biology laboratory (Moscow) by a direct smear method using Mikmed-5 light microscope (LOMO) and in the Laboratory for Study of Parasitic Diseases at the premises of the V.L. Yakimov Department of Parasitology of the St. Petersburg State Academy of Veterinary Medicine (St. Petersburg) using the crushed drop method and simple flotation method with Darling’s solution and further microscopy of temporary preparations in the Mikmed-6 light microscope (LOMO). Along with the morphometrically equal thickness of the multilayer egg membrane, the elongated part of the intact egg was optically inhomogeneous, which was even more noticeable in a damaged egg. Eggs with polar concavities of the inner layer and all of the layers of the membrane were found. The egg morphology indicates pliability of the polar structures of the membrane, which may be important when the larva emerges.
Rainbows Revisited: Modeling Effective Colormap Design for Graphical Inference
Authors: Reda Khairi , Szafir Danielle
Published: August 2020

Color mapping is a foundational technique for visualizing scalar data. Prior literature offers guidelines for effective colormap design, such as emphasizing luminance variation while limiting changes in hue. However, empirical studies of color are largely focused on perceptual tasks. This narrow focus inhibits our understanding of how generalizable these guidelines are, particularly to tasks like visual inference that require synthesis and judgement across multiple percepts. Furthermore, the emphasis on traditional ramp designs (e.g., sequential or diverging) may sideline other key metrics or design strategies. We study how a cognitive metric---color name variation---impacts people's ability to make model-based judgments. In two graphical inference experiments, participants saw a series of color-coded scalar fields sampled from different models and assessed the relationships between these models. Contrary to conventional guidelines, participants were more accurate when viewing colormaps that cross a variety of uniquely nameable colors. We modeled participants' performance using this metric and found that it provides a better fit to the experimental data than do existing design principles. Our findings indicate cognitive advantages for colorful maps like rainbow, which exhibit high color categorization, despite their traditionally undesirable perceptual properties. We also found no evidence that color categorization would lead observers to infer false data features. Our results provide empirically grounded metrics for predicting a colormap's performance and suggest alternative guidelines for designing new quantitative colormaps to support inference. The data and materials for this paper are available at: https://osf.io/tck2r/
C1qTNF2 is differentially expressed in non-small cell lung adenocarcinomas.
Authors: Mamoor Shahan
Published: August 2020

Non-small cell lung adenocarcinoma (NSCLC) is a leading cause of death in the United States and worldwide (1, 2). We mined published microarray data (3, 4) to discover genes associated with NSCLC. We identified significant differential expression of the complement component C1qTNF2 (5) in tumors from patients with NSCLC. C1qTNF2 may be of relevance to the initiation, progression or maintenance of non-small cell lung cancers.
Types, Genes, and Genotypes: the heritable basis of Galton's law.
Authors: Press Maximilian Oliver
Published: August 2020

A translation of the eighth chapter (or lecture, Achte Vorlesung) from Elemente der Exakten Erblichkeitslehre, by Wilhelm Johannsen. Published originally by Gustav Fisher (Jena) in 1909. This is the first known publication using the words “gene”, “genotype”, and “phenotype”.In this chapter, Johannsen first discusses Galton’s principles of selection and regression. He then uses this as a point of entry into discussing the factors of inheritance, discusses deficiencies of the traditional term “Typus” or “Type” regarding some supposedly-fixed variety of organism, and similarly the problems with such then-common terms as “Anlagen” and “Pangene”. He eventually settles on the term“Gene” (Gen) to describe the inherited factors, and the terms phenotype and genotype to describe the visible form and invisible inherited Mendelian factors of organisms. He discusses the biological interpretation of these terms in different contexts, including that of pure line breeding.
Traumatic Impact of the COVID-19 Pandemic in an International Sample: Contribution of Fatalism to Psychological Distress and Behavior Change
Authors: Bogolyubova Olga , Fernandez Andrea Sainz-Maza , Lopez Belen Tristan , Portelli Pamela
Published: August 2020

This study aimed to assess the traumatic impact of the COVID-19 outbreak and to explore the contribution of fatalism to a) psychological distress and b) pandemic-related behavior change. Data for the study were collected via an anonymous online survey. The survey included questions about demographic characteristics, health status, pandemic-related stress, impact of COVID-19 on health and behavior, posttraumatic stress symptoms (PTSS), and fatalism. The sample included 465 participants from 30 countries (mean age = 36.87, SD = 13.39, age range = 18 – 76; 80% female). While none of the study participants have been diagnosed with COVID-19, almost 25% knew someone who had received the diagnosis. The overwhelming majority (79%) had to make changes to their daily routine, and 48.82% of the sample reported moderate to severe PTSS. Fatalism was found to be a statistically significant predictor of PTSS in a multiple regression model and was also associated with lack of behavior changes in response to the pandemic. Our findings indicate that the COVID-19 pandemic is a traumatic event with a potential to affect mental health and well-being of individuals and communities. Fatalism may contribute to severity of psychological distress and diminish individuals’ ability to engage in health-protective behaviors.
A Meta-analysis of Linguistic Markers of Extraversion: Positive Emotion and Social Process Words
Authors: Chen Jiayu , Qiu Lin , ho Ho Moon
Published: August 2020

Past literature has shown that extraversion is related to the use of positive emotion and social process words. However, the strength of the relationships varies substantially across studies. In this research, we conducted a meta-analysis (k = 37, N = 82,132) to estimate the overall effect size of the two linguistic correlates of extraversion. In addition, we tested potential moderators including demographic variables (e.g., age and gender) and communication contexts (e.g., synchronous vs. asynchronous, public vs. private). Our random effects models revealed a small correlation between extraversion and positive emotion words (r = .069, 95% CI = [.041, .096]), and a small correlation between extraversion and social process words (r = .077, 95% CI = [.044, .109]). In addition, the strength of the relationship between extraversion and positive emotion words varies across communication contexts, while the relationship between extraversion and social process words remains consistent across contexts. Our results suggest that positive emotion words and social process words are linguistic correlates of extraversion, but they are small in magnitude.
Parental Responsiveness During Musical and Non-Musical Engagement in Preschoolers with ASD
Authors: Boorom Olivia , Muñoz Valerie , Xin Rongyu , Watson Meredith , Lense Miriam
Published: August 2020

Parent-child play interactions offer an important avenue for supporting social development in children with autism spectrum disorder (ASD). Musical play is a natural and ubiquitous form of parent-child play. As a familiar, reinforcing, and predictable activity, musical play may support parent-child interactions by scaffolding children’s attention to the play activities, while also providing parents with a familiar and accessible context to promote parental responsiveness. However, musical play may also impede interactions due to its sensory and repetitive components. 12 parent-child dyads of preschoolers with ASD were video-recorded during a ten-minute play session that included musical and non-musical toys. Interactions were coded for parent and child musical engagement, as well as parental responsiveness. Parent-child dyads varied in their amount of musical engagement during play, which was not related to children’s language level. Overall, parents showed similar levels of responsiveness to children’s play across musical and non-musical activities, but type of parental responsiveness differed depending on the play context. Parents provided significantly more physical play responses and significantly fewer verbal responses during musical vs. non-musical engagement with their child. There are substantial individual differences in children with ASD’s musical engagement during a parent-child free play. Children’s musical engagement impacted type of parental responsiveness, which may relate to the familiarity, accessibility, and sensory nature of musical play/toys. Results suggest that musical play/toys can both support and hinder different types of parental responsiveness with implications for incorporation of musical activities into interventions.
On the reliability of examining dual-tasking abilities using a novel e-Health device – a proof of concept study in Multiple Sclerosis
Authors: Böttrich Niels , Mückschel Moritz , Dillenseger Anja , Lange Christoph , Kern Raimar , Ziemssen Tjalf , Beste Christian
Published: August 2020

The assessment of neuropsychological functions and especially dual-tasking abilities is considered to be increasingly relevant in the assessment of neurological disease and Multiple Sclerosis (MS) in particular. Yet, the assessment of dual-tasking abilities is hindered by specific software requirements and extensive testing times. We designed a novel e-health (progressive web application-based) device for the assessment of dual-tasking abilities usable in “bedside” and outpatient clinic settings and examined its reliability in a sample of N=184 MS patients in an outpatient setting. Moreover, we examined the relevance of dual-tasking assessment using this device with respect to clinically relevant parameters in MS. We show that a meaningful assessment of dual-tasking is possible within 6 minutes and that reliabilities of the behavioral readouts ranged between .81 to .92 depending on dual-tasking difficulty. We show that dual-tasking readouts were correlated with clinically relevant parameters (e.g. EDSS, disease duration, processing speed) and were not affected by fatigue levels. We consider the tested dual-tasking assessment device suitable for routine clinical neuropsychological assessments of dual-tasking abilities. Future studies may further evaluate this test regarding its suitability in the long-term follow up assessments and to assess dual-tasking abilities in other neurological and psychiatric disorders.
Child-directed speech is statistically optimized for meaning extraction
Authors: You Guanghao , Bickel Balthasar , Daum Moritz M. , Stoll Sabine
Published: August 2020

The way infants manage to extract meaning from the speech stream when learning their first language is a highly complex adaptive behavior. This behavior chiefly relies on the ability to extract information from speech they hear and combine it with the external environment they encounter. However, little is known about the underlying distribution of information in speech that conditions this ability. Here we examine properties of this distribution that support meaning extraction in three different types of speech: child-directed speech, adult conversation, and, as a control, written language. We find that verb meanings in child-directed speech can already be successfully extracted from simple co-occurrences of neighboring words, whereas meaning extraction in the other types of speech fundamentally requires access to more complex structural relations between neighboring words. These results suggest that child-directed speech is ideally shaped for a learner who has not yet mastered the structural complexity of her language and therefore mainly relies on distributional learning mechanisms to develop an understanding of linguistic meanings.
Infodemics: Do healthcare professionals detect corona-related false news stories better than students?
Authors: Gruener Sven , Krüger Felix
Published: August 2020

False news stories cause welfare losses and fatal health consequences. To limit its dissemination, it is essential to know what determines the ability to distinguish between true and false news stories. In our experimental study, we present the subjects corona-related stories taken from the media from various categories (e.g. social isolation, economic consequences, direct health consequences, and “bullshit”). The task is to evaluate the stories as true or false. Besides students with and without healthcare background, we recruit healthcare professionals to increase the external validity of our study. Our main findings are: (i) Healthcare professionals perform similar to students in correctly distinguishing between true and false news stories. (ii) The propensity to engage in analytical thinking and actively open-minded thinking is positively associated with the ability to distinguish between true and false. (iii) We find that the residence of the subjects (East- or West-Germany) plays only a minor role. (iv) If narratives contradict the content of a story, subjects tend to think that the stories are wrong.
Digital Devices on Learning Management System and its Consequences on Physical and Mental Health among University Students in Nepal
Authors: Joshi Dirgha Raj , Neupane Umesh , Sharma Krishna Prasad , Joshi Basnet Raj , Joshi Pushpa Raj
Published: August 2020

Background and Objectives: Digital tools and devices are being integrated in almost areas of human activities demanding the implementation of digital literacy in modern education, health, business, and other related activities. This study was one of few to investigate the competence of learning management system by use of digital resources, and their impact on physical and mental health in Nepalese university students.

Material and methods: The cross-sectional online survey was conducted among the 300 MPhil scholars during the period of Jan. 2019 to Jul. 2019 through Google Form. The nature of information was in the form of qualitative and quantitative both because the tool contained open and closed questionnaire. Frequency, percentage, word cloud, bar chart, pi-chart and chi-square test were calculated at 95% confidence level.

Results: Around two-third (61.7%) of the participants have had habits to use digital resources by sitting on chairs/tools. More than half (53.33%) reported that use of digital device has negative effect on physical health whereas only 12% reported towards positive effect and 8.33% were not care on the effect of using digital devices on physical health. In case of mental health, around half (46.0%) have positive effect on mental health even around one-fourth (24%) have found to be negative effect however 3.3% did not care about the effect of using digital devices. The technology users with the distance greater than 3 ft. have less problems as compared to others. An insignificant association is observed in the effect on physical and mental health with respect to gender, age, years of using mobile and laptop except as the case of distance of digital devices with effect on mental health.

Conclusion: The use of digital resources has negative effect on physical health and positive effect on mental health. Use of such resources with the distance greater than 3 ft. is better for health however the limited use of digital tools, use as per need only, use by making schedule, mediation, to take suggestion by the doctors, use without monotonous, appropriate breaks and comfortable body posture are major are the major techniques for the safe use of digital resources.
Distribution of Chinese pangolin (Manis pentadactyla) in Nagarjun forest of Shivapuri Nagarjun National Park, Nepal
Authors: Dhital Sujeeta , Paudel Saroj Mani , Thapa Shreya , Bleisch William V. , Shrestha Arati , Koju Narayan Prasad
Published: August 2020

The Chinese pangolin (Manis pentadactyla) is one of the world’s critically endangered species, and its distribution is little known in Nepal. This study aimed at understanding the distribution of Chinese pangolin in Nagarjun forest of Shivapuri-Nagarjun National Park, Nepal from September 2017 to May 2018. A total of 15 infrared cameras were used, these were installed randomly in the forest. Only three cameras at three different locations were able to capture photographs of Chinese pangolin. Altogether, three events, comprising 21 still photos of pangolin, their sign and other mammal species in the area were recorded. In addition, 94 pangolin burrows were noticed in the study area. The distribution of Chinese pangolin is influenced by the food, tree canopy and aspect of the area. Majority of the active burrows were found near to feeding burrows where ants and termite’s nest were found abundantly. In addition to Chinese pangolin, the study was able to capture twelve mammalian species including masked palm civet (Paguma larvata) and yellow-throated marten (Martes flavigula). These two species were often seen to enter or try to enter the active burrows of pangolins. The results suggest that Nagarjun Forest serves an important role in mammal conservation with high mammalian biodiversity.
Human-elephant conflict in the buffer zone of Chitwan National Park, Nepal
Authors: Dangol Deepa , Ghimire Anuj , Bhattarai Salina Banskota
Published: August 2020

The interaction between human and wildlife sharing same resources often result negative outcomes and are referred as the human wildlife conflict which affects not only humans but also the wild species. Such conflicts, especially from the mega-herbivores such as elephants has become one of the major management challenges for the Chitwan National Park (CNP), Nepal. Spatial and temporal patterns of human elephant conflict (HEC) in the buffer zone of CNP were analyzed using park data and questionnaire survey conducted among three hundred and ninety residents of thirteen buffer zone user committees (BZUC) within Chitwan district from October 2016 to May 2017. Five hundred and forty-three HEC incidents including three human deaths and two human injuries were reported in BZUC from January 2013 to April 2017. Crop damage was found to be the most common type of damage caused by elephants and were higher during post-monsoon. Property damage incidents were higher during the winter season. There was a negative association between the number of HEC incidents and distance from the forest edge of the national park. However, no significant relation of HEC incidents was observed with average monthly temperature and rainfall. Despite of increasing HEC incidents, majority of people (77%) had positive attitude towards elephant conservation and considered elephants as nation’s treasure.
Privilegiar la dignidad durante la muerte en unidades de cuidados intensivos. Perspectivas del personal de salud
Authors: Hernández Zambrano Sandra Milena , Carrillo Algarra Ana Julia , Estupiñan Avellaneda Yeison Julián , González Rodríguez Ángela Constanza , Martínez Herrera Estefanía , Enciso Olivera César Orlando , Gómez Duque Mario
Published: August 2020

Los pacientes que ingresan a las Unidades de Cuidados Intensivos (UCI) no siempre evolucionan hacia la recuperación, lo que implica que el personal de la UCI tenga una visión holística para favorecer una “buena muerte” centrada en el acompañamiento familiar y la mitigación del sufrimiento. Objetivo: comprender el sentido otorgado por los profesionales de la salud de la UCI respecto a los cuidados del paciente al final de la vida y el apoyo a sus familiares. Metodología: estudio cualitativo descriptivo en dos UCI de Bogotá. La información se obtuvo con la técnica de grupos focales y se analizó siguiendo la propuesta de Taylor y Bogdan, adaptada por Amezcua y Hueso.  Resultados: emergieron cuatro categorías: sentidos y significados del equipo interdisciplinario respecto a la muerte, comunicación al final de vida en la UCI, percepciones sobre muerte digna en la UCI y dilemas éticos respecto al manejo terapéutico al final de vida. Conclusiones: Para la atención del paciente crítico al final de la vida se debe garantizar comodidad, ausencia de dolor, acompañamiento familiar, bienestar espiritual, respeto por la voluntad del paciente y una buena comunicación que facilite la inclusión de los familiares en la toma de decisiones. Para mitigar la sobrecarga y el sufrimiento del personal de salud generado por la muerte y la toma de decisiones al final de vida, se sugiere formación y diseño de protocolos multidisciplinarios.
DIVERSITY OF FERNS (PTERIDOPHYTA) IN THE SEVERAL MOUNTAINS OF WEST JAVA
Authors: Suryana Suryana , Mayawatie Betty , Kusmoro Joko , Irawan Budi
Published: August 2020

The diversity of ferns (Pteridophyta) in the five mountainous in West Java (Mt. of Patuha, Papandayan, Tangkuban Perahu, Pangrango, and Guntur) has not been widely reported. The aim of this research was to obtain data on diversity and similarity of fern species in the five mountains in West Java. This research was conducted by exploring and descriptive analysis method. Comparison of species diversity among all reseach field were calculated by the index of species similarity according to Sorenson. The diversity of ferns in Mt. Patuha, Papandayan, Tangkuban Perahu, Pangrango, and Guntur were 27, 14, 26, 40 and 5 species, respectively. The total number of ferns species in five locations are 83 species from 25 families. Comparison of species diversity among fileds based on the Sorenson similarity index is low (<50%), except between the Mt. Patuha and Mt. Papandayan areas is high (> 50%).
Algorithm Implementation Of Interest Buy Apriori Data On Consumer Retail Sales In Industry
Authors: Fachrurozi Ahmad , Junaedi Mufid , Putra Jordy Lasmana , Gata Windu
Published: August 2020

This data processing has the aim to increase the company's turnover, because by being aware of how the interest in buying goods works, the company can buy products other than the main products that it buys. In increasing company revenue can be done using the Data Mining process, one of which uses a priori algorithm and association techniques. With this a priori algorithm found association technique which later can be used as a pattern of purchasing goods by consumers, this study uses a data repository of 958 data consisting of 45 transactions. From the results obtained goods with the name Paper Chain Kit 50's Christmas is a product that is often bought by consumers and it is known that the most frequent combination patterns are the Retro Spot Paper Chain Kit and the Paper Chain Kit 50's Christmas. So that with known buying patterns, the company manager can predict future market needs, and can calculate the stock of goods that must be reproduced, and goods whose stock must be reduced, and also with the results of the association the manager can manage the layout of the product to be better.Keywords: Apriori Algorithm, Sales Data, Retail.
Attribute Selection in Naive Bayes Algorithm Using Genetic Algorithms and Bagging for Prediction of Liver Disease
Authors: Utami Dwi Yuni , Nurlelah Elah , Hikmah Noer
Published: August 2020

Liver disease is an inflammatory disease of the liver and can cause the liver to be unable to function as usual and even cause death. According to WHO (World Health Organization) data, almost 1.2 million people per year, especially in Southeast Asia and Africa, have died from liver disease. The problem that usually occurs is the difficulty of recognizing liver disease early on, even when the disease has spread. This study aims to compare and evaluate Naive Bayes algorithm as a selected algorithm and Naive Bayes algorithm based on Genetic Algorithm (GA) and Bagging to find out which algorithm has a higher accuracy in predicting liver disease by processing a dataset taken from the UCI Machine Learning Repository database (GA). University of California Invene). From the results of testing by evaluating both the confusion matrix and the ROC curve, it was proven that the testing carried out by the Naive Bayes Optimization algorithm using Algortima Genetics and Bagging has a higher accuracy value than only using the Naive Bayes algorithm. The accuracy value for the Naive Bayes algorithm model is 66.66% and the accuracy value for the Naive Bayes model with attribute selection using Genetic Algorithms and Bagging is 72.02%. Based on this value, the difference in accuracy is 5.36%.Keywords: Liver Disease, NaÃ¯ve Bayes, Genetic Agorithms, Bagging.
Sentiment Analysis on Corona Virus Pandemic Using Machine Learning Algorithm
Authors: Risnantoyo Ricky , Nugroho Arifin , Mandara Kresna
Published: August 2020

Corona virus outbreaks that occur in almost all countries in the world have an impact not only in the health sector, but also in other sectors such as tourism, finance, transportation, etc. This raises a variety of sentiments from the public with the emergence of corona virus as a trending topic on Twitter social media. Twitter was chosen by the public because it can disseminate information in real time and can see market reactions quickly. This research uses "tweet" data or public tweet related to "Corona Virus" to see how the sentiment polarity arises. Text mining techniques and three machine learning classification algorithms are used, including Naive Bayes, Support Vector Machine (SVM), K-Nearest Neighbor (K-NN) to build a tweet classification model of sentiments whether they have positive, negative, or neutral polarity. The highest test results are generated by the Support Vector Machine (SVM) algorithm with an accuracy value of 76.21%, a precision value of 78.04%, and a recall value of 71.42%.Keywords: Machine Learning, Corona Virus, Twitter, Sentiment Analysis.
Security Design And Testing of Lan and Wlan Network in Mikrotik Router Using Penetration Testing Method FROM Mitm Attack
Authors: . Haeruddin
Published: August 2020

The growth of device user is always increasing and the costs are not expensive. Users already have several sophisticated end user networking tools for daily use, including laptops, smartphones and tablets. For internet access users use LAN and WLAN network services in several public areas such as restaurants, schools / campuses, hotels and offices. Activities done by the users are data and banking transactions. These activities relate to crucial data such as user data including usernames, passwords, accounts, emails and other sensitive data. Mikrotik Router is a router with an affordable price and complete features for both LAN and WLAN networks so that many administrators use this device. The most common attack used on the network is Man in the Middle Attack, which is actively tapping on the user's network connection, where traffic from the user before reaching the destination or when going through a Mikrotik router will be diverted through the attacker's network without the user's knowledge so that user communication can be read. Therefore a network security system on a Mikrotik router is needed to avoid such attacks. In testing the security system that has been made, it needs the right method, one of which is penetration testing. From the results of testing using the penetration testing method, results and solutions will be obtained to maintain network security.Keywords: Penetration Testing, Man in The Middle Attack, Wireless Security, Router dan Wireless Mikrotik.
Analysis Role of Digital Marketing and Self Image Improving Student Self Presentation in Batam Using Instagram
Authors: Ardiansyah Muhammad
Published: August 2020

Nowadays Students often use social media as a tool to communicate and search for a lot of information, social media can also influence changes in the self-image of students shared on social media. This study aims to determine the large social media users of Instagram among students, to analyze Instagram social media as a tool used by students in self-development and self-image, to know the importance of digital marketing in shaping student self-image, analyzing the development of students' Self Presentations, knowing how large students in showing self-image using Instagram social media, knowing the importance of Self Presentation within the university. This study uses variables namely digital marketing, and Self Image as independent variables, Self Presentation as the dependent variable. The target respondents of this study were all university students in the city of Batam by using a sample of 392 students. This research concluded that self image plays a role in shaping student self-appearance because students try to look neat and attractive when uploading videos on Instagram Stories about themselves, wanting to look good in photos or videos, so users can display a good image and other Instagram users who see can give good comments as well.Keywords: Social Media, Instagram, Digital Marketing, Self Image, Self Presentation.
Analysis NaÃ¯ve Bayes In Classifying Fruit by Utilizing Hog Feature Extraction
Authors: Muhathir Muhathir , Santoso Muhammad Hamdani , Muliono Rizki
Published: August 2020

Indonesia has abundant natural resources, especially the results of its plantations. Lots of local fruit that can be used starting from the root to the skin of the fruit. Local fruit can be consumed as fresh fruit and can also be processed into drinks and food. This is reflected in the diversity of tropical fruits found in Indonesia. Fruits that are rich in benefits and can be used as medicines such as Apples, Avocados, Apricots, and Bananas. These fruits are often found around us. In Indonesia these fruits are produced and also exported abroad. However, the limited methods and technology used to classify this fruit are interesting things to discuss and become the main focus in this research. This study analyzed using the NaÃ¯ve Bayes algorithm and feature extraction of HOG (Oriented Gradient Histogram) to obtain more effective classification results. The results showed that the collection of fruit using the NaÃ¯ve Bayes method and HOG feature extraction had not yet obtained maximum classification results, only with an accuracy of 56.52%.Keywords â€“ Apple, Avocado, Apricot, Banana, NaÃ¯ve Bayes, HOG.
Implementation of the Algorithm Fisher Yates Shuffle on Game Quiz Environment
Authors: Rohmah Widi aulia , Asriyanik Asriyanik , Apriyandari Winda
Published: August 2020

The current technological development of science and knowledge can easily be provided through various media. Learning media have become part of the learning and teaching process. In its use these media can be anything such as videos, motion animations, power points, including games. Educational games can be used as learning media in schools so that learning activities can be more interesting and enjoyable. Games made as learning media are certainly not merely entertainment but must contain elements and educational values. The purpose of this research is to make an educational game of natural science where the questions / questions in the quiz section can be scrambled by themselves. The design of the construction of this environmental quiz game uses the method of Multimedia Development Life Cycle (MDLC) and Fisher Yates Shuffle algorithm for randomization of questions. This environmental game contains natural science lessons about the organization of life systems, the interaction of living things with the environment and environmental pollution. Components in this game are in the form of material and quiz games, puzzles and drag and drop. In this study there are 10 questions that will be randomized to each quiz. The result of the implementation of the Fisher Yates Shuffle algorithm in this quiz section is that the quiz questions that come out can be scrambled, so the questions / questions that come out are different and the user does not easily guess the next question.Keywords: Quiz Game, Adobe Flash, Actionscript, Fisher Yates Shuffle
Design of Smart Garden Sprinklers Based on Fuzzy Logic
Authors: AZMI FADHILLAH , Louise Jeffrey , Sitompul Zurfahri Rizki , Kumar Sahsi , Surya Jaya
Published: August 2020

Human needs for the existence of an automatic equipment that controls every activity becomes a necessity at this time, one of which is on watering plants that are still done manually. Treatment of plants is not optimal. Sometimes plants forget to be watered, so the plants wither quickly because of lack of water. And often watering plants over and over again, ignoring that too much water content in the soil, which causes plants to rot easily. With this controller can be applied to various fields such as home, plantation, and agriculture. The application of automatic watering control can be overcome if there is excess water capacity, here is an alarm as a warning when the weather is rainy, by using a soil moisture sensor to detect water levels on the ground, light sensors to control the tool can only function in the morning and afternoon because if at night watering plants is not good for plant growth that is controlled on an arduino microcontroller, and uses a fuzzy logic method to determine the process parameters of sensor control. The results of testing the tools carried out periodically testing can work in sync based on the parameters applied using the fuzzy logic method.Keywords: Smart garden, sprinklers, fuzzy logic.
Decision Support System Recommendations of Half and Full Subsidized KPR Houses
Authors: Akram Rizalul , Novianda Novianda , Wulandari Sri
Published: August 2020

The house is a primary need for humans because as a place to stay and carry on life. Having a house is certainly not an easy matter because it requires a very large cost for it. This large amount of capital has made the community take a short and practical path by choosing half or full subsidized housing loans. Only with a capital of 20 million housing mortgages can be placed. However, the case of the house also considers the size, area, model, size of the remaining land, and location to be crucial in the selection. At present the types of KPR houses consist of types 36, 45, and 54. All three types have subsidies from the government so that they are affordable by many communities. However, from the results of field observations many people felt that it was not appropriate to choose the type of house. Let's say someone wants a type 45 house but ends up choosing type 36 with an estimated objection to paying monthly installments, even though they are capable. And vice versa who take type 45 then object to paying the monthly installments. Based on these problems, the authors try to help the community through the bank with the application of a decision support system (SPK). With this system, people who have filled out the registration form on the system will get a recommendation for the type of house. This system was built using the simple addative weight (SAW) method.Keywords: House, KPR, Type, SPK, SAW.
Decision Support System for Selecting Doorprize Receipt Customers By Applying Promethee I Algorithm
Authors: Parlina Iin - , Priatno Andi
Published: August 2020

Door prize is a prize given by Bank Mega Syariah for free through a lottery that has the category of a permanent customer. The permanent customer is a person who saves or saves his money in a mega Islamic bank and often deals regularly. This is what triggers Bank Mega Syariah to give awards to customers so that these customers will be more motivated to save at the Mega Syariah Bank. To determine the right decision in the selection of customers who deserve to get a door prize, then this research was conducted by applying the decision support system method with Promethee's Algorithm.Keywords: Decision Support System, Promethee I, and Doorprize.
Tobacco Smoking and Risk of Novel Coronavirus Infection
Authors: Dubey Anusha , Saini Deepak , Roy Shubham , Bharat Ram Pukar , Bentrad Veronika , Yau Callum , Wallbridge Isaac George , Shankar Abhishek
Published: August 2020

Tobacco consumption, specially smoking and waterpipe, affect the lung capacity which may lead to difficulty in breathing, caused by long term harmful effect on cardiovascular and respiratory system leading to elevated risk of various kind of infectious diseases. SARS-CoV-2 infection, which primarily affects the lungs, is found to be associated with severe events in persons who consume tobacco either smokeless or with smoke. Many studies showed that smokers, either current or former, show the severe COVID-19 progression. Yet there is no strong evidence which establishes the link between tobacco smoking and COVID-19. Smoking causes increase in secretory cells of respiratory tract, subsequently increasing ACE-2 expression. Ageing is also associated with a higher expression of ACE-2 gene. This can possibly explain the vulnerability of aged people, smokers and patients with hypertension to coronavirus and also people who consume tobacco, either smokeless or smoke, as a potential vulnerable group for COVID-19.