bluuebunny/crossref_metadata_2025 huggingface dataset:
Revision of Corynosoma australe Johnston, 1937 (Acanthocephala: Polymorphidae) from a North American population using novel SEM images, Energy Dispersive X-ray Analysis, and molecular analysis
Authors: Amin O. M. , Chaudhary A. , Singh H. S. , Kuzmina T.
Published: June 2023

We describe a population of the acanthocephalan Corynosoma australe Johnston, 1937 (Polymorphidae) from a California sea lion Zalophus californianus (Lesson, 1828) in California using novel scanning electron microscopy (SEM) images, Energy Dispersive x-ray analysis (EDXA), and molecular analysis for the first time. The taxonomic history of C. australe is replete with accounts using only line drawings some of which proved erroneous. The distribution of ventral spines on the female trunk has been the primary distinction between C. australe and Corynosoma obtuscens Lincicome, 1943, its junior synonym; being continuous in the latter but discontinuous posteriorly in the former species. The distribution of ventral spines is invariably discontinuous in males. Our redescription and SEM images help to resolve this issue further validating the synonymy. Morphological variability has been documented between our California population and others from various host species in California, South Australia, South Shetlands, and the Argentinian coast. Our SEM images document features not previously detectable in line drawings, erroneously reported or missed in previous accounts. The EDXA spectra show high levels of calcium and phosphorous and low levels of sulfur characteristic of C. australe. EDXA for other species of Corynosoma Lühe, 1904 provide support for the diagnostic distinction of C. australe. EDXA spectra were shown to be species specific and have diagnostic value in the taxonomy of the Acanthocephala. Our molecular analysis used amplification of 18S of ribosomal DNA and cytochrome c oxidase 1 (Cox1) gene. Phylogenetic analyses for Cox1 gene revealed a close relationship between Corynosoma hannae Zdzitowiecki, 1984 and C. australe. The phylogenetic trees confirmed that the isolates belonged to C. australe. The haplotype network inferred by Cox1 with C. australe sequences revealed that haplotypes clearly separated from each other and formed clusters related to samples from the Northern Hemisphere (the USA and Mexico), and the second from the Southern Hemisphere (Argentina, Brazil and Peru).
Prevalence and distribution of urinary schistosomiasis among senior primary school pupils of Siphofaneni area in the low veld of Eswatini: A cross-sectional study
Authors: Maseko T. S. B. , Masuku S. K. S. , Dlamini S. V. , Fan C.-K.
Published: June 2023

A cross-sectional survey of Schistosoma haematobium prevalence was conducted among senior primary school pupils of Siphofaneni area, Eswatini. This area is devoid of potable water, with a newly constructed Lubovane dam and an LUSIP irrigation scheme. The objective of the study was to investigate the distribution of urinary schistosomiasis among Siphofaneni senior primary school pupils. Using simple random sampling, 200 partcipants were enroled from four of six schools in the area. Ten millimetres (10 ml) of urine samples were obtained from each participant and examined for S. haematobium eggs. The intensity of the infection was estimated by calculating the total number of S. haematobium eggs present in 10 ml urine. Out of 200 participants, 45% (n = 91) were males, and 55% (n = 109) were females. The mean age for participants was 13 years, and almost half (47%, n = 94) were in Grade 5. Overall, the prevalence of S. haematobium infection was 16% (32/200). More than half (59%, 19/32) of the Schistosomiasis cases were from females. Positive and significant associations were observed between the number of eggs (χ2=170.9) and the presence of red blood cells (χ2=49.2) at p = 0.001. In conclusion, the prevalence of Schistosomiasis is high among pupils enrolled in Siphofaneni area primary schools that needs comprehensive treatment and education to prevent from S. haematobium infection.
Aphelenchoides varicaudatus (Nematoda: Aphelenchoididae) and Helicotylenchus erythrinae (Nematoda: Hoplolaimidae) from Garlic Plantation in Magelang, Central Java, Indonesia
Authors: Maharani R. , Indarti S. , Soffan A. , Hartono S.
Published: June 2023

There were two most found genera of plant parasitic nematodes from garlic plantation in Magelang, Central Java, Indonesia which suffered losses due to bulb rot, Aphelenchoides and Helicotylenchus. Polymerase Chain Reaction (PCR) was conducted using a pair of universal nematode primer (D2A/D3B) to determine the Aphelenchoides and Helicotylenchus species from those host. Both genera were amplified at ~780 bp. The Blast-N results for the Aphelenchoides showed high identity to Aphelenchoides varicaudatus from Yunnan China (HQ283353) with 99.47 % identity, while the Helicotylenchus showed 95.22 % identity to Helicotylenchus erythrinae from Colombia (MT321739). From morphological and molecular data, we confirm that the Aphelenchoides species is A. varicaudatus. Based on female morphological character, Helicotylenchus species refers to H. erythrinae. Which is also supported by its nucleotide alignment which has same region character as H. erythrinae (MT321739). This is the first report of molecular characterization of H. erythrinae in Indonesia.
Ecological study on helminths of three species of Gobiidae from the Danube River, Bulgaria
Authors: Zaharieva R. G. , Zaharieva P. G. , Kirin D. A.
Published: June 2023

A total of 72 specimens of Babka gymnotrachelus (Kessler, 1857), Neogobius fluviatilis (Pallas, 1814), and Neogobius melanostomus (Pallas, 1814) from four sampling sites along the Bulgarian section of the Danube River (Kudelin, Novo selo, Koshava, and Kutovo), Northwestern Bulgaria were submitted to ecologohelminthological investigation. During the examination 6 species of helminths have been identified from 3 classes: Trematoda (Nicolla skrjabini (Iwanitzky, 1928) Dollfus, 1960), Acanthocephala (Acanthocephalus anguillae (Müller, 1780) Lühe, 1911; Acanthocephalus lucii (Müller, 1776) Lühe, 1911; Pomphorhynchus laevis (Zoega in Müller, 1776) Porta, 1908) and Nematoda (Contracaecum sp., Eustrongylides excisus Jägerskiöld, 1909). Ecological indices of the established endohelminth species were tracked. The four sampling sites from the Danube River are new habitats for the discovered endohelminth species of racer goby, monkey goby, and round goby. The three goby species are new host records: B. gymnotrachelus and N. fluviatilis for Ac. lucii; N. melanostomus for Ac. lucii, Ac. anguillae and Contracaecum sp. New species of helminths are found in the helminth fauna of the three studied species of gobies from the Danube River and the river basin (Ac. lucii of N. fluviatilis) and in Bulgaria (Ac. lucii of B. gymnotrachelus; Ac. lucii, Ac. anguillae and Contracaecum sp. of N. melanostomus). The pathogenic species helminths for the fish and humans are found.
The prevalence of potentially zoonotic intestinal parasites in dogs and cats in Moscow, Russia
Authors: Kurnosova O. P. , Panova O. A. , Arisov M. V.
Published: June 2023

This study was aimed to determine the prevalence of Toxocara canis/cati, Strongyloides stercoralis, Giardia spp., and Cryptosporidium spp., which occur and are potentially zoonotic to humans in domestic dogs and cats in Moscow (Russia). The fecal flotation method and larvae detection by microscopy of a direct feces smear were performed to detect Toxocara, Giardia spp., and Cryptosporidium spp. The total parasitic prevalence in dogs was as follows: Giardia spp.: 10.2 % (226/2208), Cryptosporidium spp.: 2.7 % (60/2208), T. canis: 2 % (45/2208), S. stercoralis larvae: 1.1 % (25/2208). The younger animals under were infected more than those over 12 months of age (p<0.001). The preva lence rates were along these lines: Giardia spp. (18.2 %), Cryptosporidium spp. (5.7 %), T.canis (3 %), S. stercoralis larvae (2.3 %). The overall prevalence in cats was as follows: Giardia spp. - 5.2 % (71/1350), Cryptosporidium spp. - 4.8 % (65/1350), T. cati - 4.1 % (56/1350). Similarly to dogs, the infection rates were higher in cats under 12 months of age Giardia spp. (8.2 %), Cryptosporidium spp. (8.6 %), T. cati (7.5 %. Analysis of combined infections in dogs revealed the following combinations: Giardia spp. and Cryptosporidium spp. (35.5 %) larvae of S. stercoralis sp. and Giardia spp. (32.3 %), T.canis and Giardia spp. (22.6 %), T.canis and Cryptosporidium spp. (6.6 %), T.canis and S.stercoralis and (3.2 %), respectively. In cats, only two coinfections by Giardia spp. and Cryptosporidium spp. (58.3 %), and T.cati with Giardia spp. (41.7 %) were noticed. Further research is needed to study the spread of parasitic diseases in pet animals. The data will improve countermeasures to prevent these diseases’ spread among animals and humans.
Detecting Outliers in Cardiopulmonary Exercise Testing Data of Ski Racers – A Comparison of Methods and their Effect on the Performance of Fatigue Prediction
Authors: Baumgartner N. , Kranzinger C. , Kranzinger S. , Snyder C. , Stöggl T. , Resch B.
Published: June 2023

In sports science, cardiopulmonary data is used to assess exercise intensity, performance and health status of athletes and derive relevant target values. However, sensors may produce flawed data and data may include a wide variety of artifacts, which could potentially lead to false conclusions. Thus, appropriate and customized pre-processing algorithms are a vital prerequisite for producing reliable and valid analysis results. To find adequate outlier detection methods for this type of data, we compared three algorithms by applying them on seven ergospirometric measures of junior ski racing athletes and applied a model to predict fatigue during skiing based on the pre-processed data. While values that lie outside a realistic spectrum were consistently labelled as outliers by all methods, and mean values and standard deviations changed in similar ways, methods differed from each other when it comes to changing trends, recurring patterns, and subsequent outliers. Decomposing the sensor data into different components (trend, seasonality, remainder) before dealing with outliers increased average predictive performance the most. However, pre-processing remarkably improved prediction results for certain study participants and not for others. Thus, handling outliers correctly prior to deriving information from ergospirometric data is recommended but more research should be conducted to find methods that achieve more consistent improvement.
Analysis and forecast of emergency medical care indicators for patients with diseases characterized by high blood pressure
Authors: Manoilov A. E.
Published: June 2023

The dynamics and forecasting of the population’s calls for emergency medical care due to an increase in blood pressure are determined. A comparative analysis and prediction of the number of calls served with the final diagnoses of “hypertensive disease” and “hypertensive crisis” were carried out.
The role of evaluation of the comorbidity index and the expression of multiorgan dysfunction in the objectivization of patient transportability
Authors: Shen N. P. , Minin A. S. , Panov I. D.
Published: June 2023

Medical evacuation of patients between medical organizations and intensive care units is a complex and urgent problem. To objectify the transportability of patients, the authors proposed calculating the comorbidity index, assessing the severity of multiple organ dysfunction and its structure. The study showed a high role of the patient’s age and the severity of polyhedral dysfunction and an insignificant role of the comorbidity index.
Specific features of surgical care for patients with COVID‑19
Authors: Linets Yu. P. , Artyukhov S. V. , Zaitseva T. E. , Chikin A.  E. , Zarkua N. E.
Published: June 2023

The article is devoted to the analysis of the provision of emergency surgical care to patients of a multispecialty hospital, repurposed for the treatment of patients with a new coronavirus infection and suspected of it. As a comparison period, a similar period of time outside of work in the conditions of CAVID-19 is taken. An increase in thrombosis and pneumothorax was reversed.
Clinical trials of innovative technology of intraosseous access to the human circulatory system in the provision of emergency medical care
Authors: Zhirov A. V. , Radushkevich V. L. , Minnullin I. P. , Soldatov N. N. , Perevozchikov E. N.
Published: June 2023

The article presents the results of clinical trials of innovative technology of intraosseous access to the human circulatory system in the provision of emergency medical care in the Belgorod region. 32 cases of the use of a domestic device for intraosseous access of UVK M for the treatment of patients with urgent conditions who had difficulties performing puncture / catheterization of veins were studied. The data on the high social and economic efficiency of intraosseous access technology in the practice of emergency medical care are presented.
DESIGN AND IMPLEMENTATION OF A MATHEMATICAL ENCRYPTION MODEL FOR THE CENTRAL KURDISH FONT BASED ON UNICODE
Authors: Abid Al Jabbar Ziyad H. , Ali Zeravan A. , Taher Hanan A.
Published: June 2023

This research focuses on the development of encryption algorithms for the Kurdish language, specifically tailored to the Kurdish alphabet. With the rapid growth and digital advancements in the Kurdistan Region of Iraq, there is a pressing need for accurate encryption methods that can be applied to Kurdish texts in administration and digital governance. To address this need, a mathematical encryption model is proposed, leveraging the Kurdish central font supported by Microsoft Windows to ensure compatibility between sender and receiver. The model utilizes the Unicode representation of Kurdish letters to calculate offset and mod values accurately. The effectiveness of the proposed model is validated through its implementation using the Caesar cipher method. Computation tasks are performed using Excel, while the encryption system is designed and programmed in C#. Extensive testing of the system with diverse key values demonstrates its high accuracy, achieving a high success rate in encrypting Kurdish texts. This research contributes significantly to the field of encryption for the Kurdish language, providing a scientific framework for further advancements in this area.
A EXPERTISE DO PROFESSOR RUBENS DE CARVALHO NO CONTEXTO DA INSTRUÇÃO PÚBLICA MATO-GROSSENSE (1923 – 1927)
Authors: Oliveira Leandro , Santos Edilene Costa dos , Pais Luiz Carlos
Published: June 2023

Esta pesquisa discute a expertise profissional de Rubens de Carvalho, professor normalista paulista contratado pelo governo mato-grossense para conduzir a Escola Normal de Cuiabá, em meados da década de 1920.  A fundamentação teórico-metodológica foi baseada em Hofstetter et al., (2017), Hofstetter e Schneuwly (2017), Hofstetter e Schneuwly (2020) e Hofstetter e Valente (2017), em uma perspectiva histórico-social acerca dos saberes do ensino, em razão da mobilização pedagógica promovida pelos experts da docência em provimento da produção e da mobilização de saberes para a instrução primária, especificamente nesta investigação das matemáticas elementares para o ensino primário. As fontes mobilizadas para justificar a expertise profissional do personagem estão sobre os cuidados do Arquivo Público do Mato Grosso (APMT), além de outras que retrataram a trajetória do educador, que foram recuperadas pela Hemeroteca Digital Brasileira. Assim, considerando o aporte referencial adotado, o professor normalista Rubens de Carvalho pode ser considerado um expert do ensino e da matemática elementar do mesmo segmento instrucional, pois, conforme analisamos, o Estado o contratou para resolver problemas da instrução, e, ao fazê-lo, o professor produziu saberes que foram sistematizados em Atas de Relatórios, no Programa de Ensino de 1924 e no Regulamento de Ensino de 1927.
In vitro bioactive properties of protein hydrolysates from giant squid (Dosidicus gigas) by Bacillus subtilis
Authors: Lopez-Medina F.A. , Dublan-Garcia O. , Morachis-Valdez A.G. , Lopez-Martinez L.X. , Gomez-Olivan L.M.
Published: June 2023

The aim of this work was the obtention and characterization of protein hydrolysates from squid muscle frozen stored as an alternative of fermentation substrate. Hydrolysates' antioxidant, antimicrobial and functional properties were obtained by fermentation via Bacillus subtilis ATCC 6633, using Dosidicus gigas mantle, stored for 20 months at -20° C. Culture media with different proportions of collagen: muscle (C0 = 100% muscle, C25 = 75% muscle + 25% collagen, C50 = 50% muscle + 25% collagen, C75 = 25% muscle + 75% collagen, C100 = 100% collagen) of giant squid, were subjected to fermentation, from 0 to 8 hrs. Free radical scavenging activity was determined via the ABTS•+ methodology (maximum value of 3.99±0.02 mg L-ascorbic acid equivalents for 8 h-C25) and DPPH• (maximum value of 750.29±13.57 µg L-ascorbic acid equivalents for 8 hC75). Inhibition zones (between 10 mm and 14.9 mm) were found in hydrolysates, with 8 hrs of fermentation for Gram-negative bacteria. Regarding infrared spectroscopy, after 8 hrs of fermentation, several peaks were detected, which suggest the presence of aromatic rings (1582 cm-1, 856 cm-1 and 756 cm-1), in addition to peaks that suggest the presence of surfactant from B. subtilis (1510 cm-1, 1392 cm-1 and 1198 cm-1). A maximum of 150% (v/v) in the foaming capacity of 2 h-C100 and 87.5% (v/v) of 8 h-C50 was obtained; for foam stability, 77.5% (v/v) with 2 h-C100 and 22.5% (v/v) with 0 h-C0. The maximum value for the emulsifying activity index was 1778.06±30.85 m2/g of protein for 8 h-C0, while the highest index of emulsion stability was 82.04±2.81 mins for 8 h-C25. The protease activity present in the hydrolysates decreased the hardness of the gelatin to 29.6%. Results showed that the use of the giant squid stored for extended periods in freezing conditions impedes its spoiling and harmful effects on the environment, and allows the obtention of hydrolysates with antioxidant, antimicrobial and functional properties, for which the submerged fermentation with B. subtilis ATCC 6633 is suitable for the acquisition of bioactive peptides, which can be considered for their use in the food and pharmaceutical industries.
The Gap Between What California Community Colleges Say and What They Do: A Quantitative Analysis of the Use of Legally Inadvisable Questions on Faculty Job Applications
Authors:   , Jones Lorraine
Published: June 2023

Research on the content of job applications has established that employers across various sectors of the U.S. labor market utilize legally inadvisable questions on their application forms (Brown, 2016; Burrington, 1982; Cano, 1985; Coady, 1986; Koen et al., 2012; Lowell & DeLoach, 1982; Rhodes, 1993; Vodanovich & Low, 1982; Wallace et al., 2000; Wallace & Vodanovich, 2004). Legally inadvisable questions in the context of job applications solicit non-job-related information that can reveal an applicant’s protected status if answered (Vodanovich & Lowe, 1992). This dissertation aims to shed light on the use of legally inadvisable questions on faculty job applications within the California Community College system. Additionally, this dissertation explored associations between legally inadvisable questions and district MSI designations, the percentage of faculty who self-identify as African American and Black, and Hispanic and Latina/e/o/x. Data for this dissertation was collected through content analysis of publicly available job applications on district webpages and workforce demographic data on the California Community College State Chancellor’s Office DataMart webpage. The findings revealed that 772 legally inadvisable questions are used on faculty job applications throughout 72 of the systems’ 73 districts. A statistically significant association was found between districts’ MSI designations and the overall measure of racial and ethnic diversity within faculty workforces. The findings did not demonstrate a statistically significant association between the use of legally inadvisable questions and the overall measure of racial and ethnic diversity within faculty workforces or the percentage of faculty who self-identify as African American and Black, and Hispanic and Latin/a/e/x. These findings indicate the need for additional studies to explore the scope and impact of legally inadvisable job application questions and other forms of pre-employment discrimination in higher education settings.
Uso de Twitter como estrategia de comunicación política en campañas presidenciales (México, Colombia y Perú 2012-2016)
Authors: Cárdenas Alejandro
Published: June 2023

Las estrategias de comunicación política en Twitter de los candidatos y candidatas a la presidencia de México en 2012, en Colombia en 2014 y Perú en 2016 fueron analizados durante los últimos dos meses de las campañas, incluido el surgimiento del movimiento #YoSoy132 en México, el escándalo de escuchas en Colombia y la eliminación de la contienda de un candidato popular en redes sociales en Perú. Se realizó un análisis de contenido cuantitativo de sus cuentas de Twitter que comparan el potencial de actividad e interactividad en los envíos de cada candidato en los tres países tomando como base posibilidades de apertura al debate público. La revisión empírica mostró que, aunque los candidatos y candidatas muestran oportunidades medias y altas de actividad, el nivel de interacción es casi nulo pero el interés ciudadano aumentó. Los y las contendientes utilizan Twitter en la dinámica de la Web 1.0. con flujos de información más verticales que horizontales eludiendo el diálogo y lo poco que intentan está delimitado a cumplir con la presencia, acumular y aumentar seguidores.
Comunicação, diversidade e Agenda 2030 no enfrentamento à violência contra a mulher
Authors: Ferrari Maria Aparecida , Cabral Raquel , Salhani Jorge
Published: June 2023

O presente artigo tem como objetivo identificar e discutir a percepção de alunos da pós-graduação da área da Comunicação de duas universidades do Estado de São Paulo, Brasil, sobre a violência contra a mulher na academia e nas empresas. Justificamos que a comunicação é um processo que pode legitimar tal violência, tanto nos discursos empresariais quanto nas universidades. No bojo dessa discussão, verificamos se a Agenda 2030 da UNESCO e o ODS 5, que aborda a igualdade de gênero, estão disseminados nos ambientes organizacionais e na academia. Foi aplicado questionário, elaborado na plataforma Google Forms, junto a estudantes de pós-graduação em Comunicação de duas universidades do Estado de São Paulo a fim de identificar os pontos de convergência ou divergência entre as percepções desse público, altamente qualificado, sobre a violência produzida pela comunicação nos ambientes organizacional e acadêmico. Os resultados indicaram que a violência aparece em ambos contextos e que os homens percebem menos as ações de assédio moral e sexual em relação às próprias estudantes mulheres, significando que a violência machista é estrutural e cultural. Observamos baixo conhecimento de estudantes das duas universidades sobre as diretrizes da Agenda 2030 e do Pacto Global da ONU. Quanto às medidas de enfrentamento à violência contra a mulher, um maior número de estudantes optou por ações mais punitivas do que educativas. Por fim, constatamos que ainda há muito a ser desenvolvido pelos programas de pós-graduação em Comunicação das duas universidades e sugerimos que sejam incluídos conteúdos que tratem de maneira transversal questões de diversidade e de equidade de gênero.
Effect of TPRC Using Preezi on Teaching Reading to Junior High School Students
Authors: Huda M. Alimul , Huda Feri
Published: June 2023

Reading is very important for students because their learning success is highly dependent on their reading comprehension. In order to read well, teachers must support learning with appropriate teaching methods. This study was a quantitative study to apply a quasi-experimental design to compare the TPRC strategy with Prezi and Grammar Translation Method to the first-year students in SMPN 1 Sutojayan. Studies have shown significantly higher performance than those taught using GTM. It was concluded that TPRC strategy using Prezi was effective in teaching the reading of descriptive texts for junior high school.
Comparative Analysis of Various Ensemble Algorithms for Computer Malware Prediction
Authors: Yusuf Bayu Wicaksono  , Christina Juliane
Published: June 2023

By 2022 it is estimated that 29 billion devices have been connected to the internet so that cybercrime will become a major threat. One of the most common forms of cybercrime is infection with malicious software (malware) designed to harm end users. Microsoft has the highest number of vulnerabilities among software companies, with the Microsoft operating system (Windows) contributing to the largest vulnerabilities at 68.85%. Malware infection research is mostly done when malware has infected a user's device. This study uses the opposite approach, which is to predict the potential for malware infection on the user's device before the infection occurs. Similar studies still use single algorithms, while this study uses ensemble algorithms that are more resistant to bias-variance trade-off.  This study builds models from data on computer features that affect the possibility of malware infection on computer devices with Microsoft Windows operating system using ensemble algoritms, such as Bagging Classifier, Random Forest, Light Gradient Boosting Machine, Extreme Gradient Boosting Machine, Category Boosting, and Stacking Classifier. The best model is Stacking Classifier, which is a combination of Light Gradient Boosting Machine and Category Boosting Classifier, with training and test results of 0.70665 and 0.64694. Important features have also been identified as a reference for taking policies to protect user devices from malware infections.
Implementation of n-gram Methodology to Analyze Sentiment Reviews for Indonesian Chips Purchases in Shopee E-Marketplace
Authors: Purbaya Muhammad Eka , Rakhmadani Diovianto Putra , Maliana Puspa Arum  , Luthfi Zian Nasifah
Published: June 2023

Chips are a well-known product among Small and Medium Enterprises (SMEs). In order to enhance the quality of chips as an SME product, sentiment analysis is a crucial step. In this research, sentiment analysis of chip purchases on the Shopee E-marketplace was conducted using the Natural Language Processing (NLP) method, utilizing the N-Gram Model and Term Frequent-Inverse Document Frequency (TF-IDF) as feature extraction techniques, and the Support Vector Machine (SVM) algorithm for sentiment classification. The objective of this research is to identify the most suitable feature extraction model and optimal SVM kernel type from the options of Linear, Polynomial degree, Gaussian RBF, and Sigmoid kernels. Results from the experiments indicate that the TF-IDF and unigram feature extraction techniques offer the best performance for SVM classification when utilizing the Linear kernel. By labeling the dataset, it was observed that using a lexicon-based approach for sentiment classification resulted in 84.31% of the total reviews being positive. The words "price", "cheap" and "quality" in unigram have the highest weights above 0.040. In the unigram model, linear kernel accuracy and precision performance values are 88.4% and 87.3%. At the same time, the recall performance values is 88.4%. The results of the F1-Score assessment matrix from Unigram were 86.9%, Bigram was 78.5% and Trigram was 77.4%. Ultimately, the unigram model combined with a linear kernel in the SVM algorithm demonstrates strong potential for application in the development of various systems focused on detecting user reviews in the Indonesian language on the Shopee E-Marketplace.
Aspect Based Sentiment Analysis Marketplace Product Reviews Using BERT, LSTM, and CNN
Authors: Syaiful Imron  , Setiawan Esther Irawati , Joan Santoso  , Mauridhi Hery Purnomo
Published: June 2023

Bukalapak is one of the largest marketplaces in Indonesia. Reviews on Bukalapak are only in the form of text, images, videos, and stars without any special filters. Reading and analyzing manually makes it difficult for potential buyers. To help with this, we can extract this review by using aspect-based sentiment analysis because an entity cannot be represented by just one sentiment. Several previous research stated that using LSTM-CNN got better results than using LSTM or CNN. In addition, using BERT as word embedding gets better results than using word2vec or glove. For this reason, this study aims to classify aspect-based sentiment analysis from the Bukalapak marketplace with BERT as word embedding and using the LSTM-CNN method, where LSTM is for aspect extraction and CNN for sentiment extraction. Based on testing the LSTM-CNN method, it gets better results than LSTM or CNN. The LSTM-CNN model gets an accuracy of 93.91%. Unbalanced dataset distribution can affect model performance. With the increasing number of datasets used, the accuracy of a model will increase. Classification without using stemming on datasets can increase accuracy by 2.04%.
Analysis of Supermarket Product Purchase Transactions With the Association Data Mining Method
Authors: Saptadi Norbertus Tri Suswanto , Phie Chyan  , Eremias Mathias Leda
Published: June 2023

The development of business world is entering the era of big data. In meeting supermarkets' sales and purchase targets, the management needs to improve themselves in managing the goods available in the store. The research aims to determine the pattern of purchases that occur in a transaction, find out related and related products in supermarkets, and improve supermarket services to customers. The method applied uses the association rules approach to data mining. Several purchasing data from customers have been able to be analyzed by displaying a diagram as a visualization of the number of specified association rules. The processing results show a relationship above 90%: sugar and coffee with a confidence of 94.4%, shirts and trousers with a confidence of 93.4%, and sugar, milk, and coffee with a confidence of 92.0%. Decisions that can be taken by supermarket management in providing places and goods need to consider and follow product relationships and proximity based on the highest confidence value to provide services to customers effectively and efficiently.
Ontology-based Conversational Recommender System for Recommending Camera
Authors: Rachman Restu Aditya , Baizal Z. K. A.
Published: June 2023

The camera is a product that has developed very quickly in terms of specifications and functions. In addition, the cameras available on the market are becoming increasingly varied, so customers need more time to find a camera that suits their needs. Currently, many recommender systems have been developed to assist users in finding suitable products, especially the conversational recommender system (CRS). CRS is a recommender system that recommends products through conversations between the user and the system. However, many developed CRS still forces users to have knowledge of the product's technical characteristics. In the real world, many people are not familiar with the technical features of products, especially cameras. People interact more easily with CRS by stating the camera function they want. In this study, we call that statement functional requirements. Therefore, we proposed a CRS for recommending cameras that interact with users using functional requirements. This CRS uses semantic reasoning techniques on ontologies. To evaluate system performance, we use two parameters, i.e., user satisfaction and recommendation accuracy. The evaluation results show that the accuracy of the recommendations is at a value of 82.35%, and the level of user satisfaction reaches 0.66. With these results, the system can provide recommendations accurately and satisfy users.
Logistic Regression Using Hyperparameter Optimization on COVID-19 Patients’ Vital Status
Authors: Vinna Rahmayanti Setyaning Nastiti  , Yufis Azhar  , Riska Septiana Putri
Published: June 2023

This study aims to classify COVID-19 patients based on the results of their hematology tests. Hematology test results have been shown to be useful in identifying the severity and risk of COVID-19 patients. Specifically, this study focuses on classifying COVID-19 patients based on their vital status, namely Deceased and Alive. The dataset used in this study contains four variables: white blood cells (WBC), neutrophils (NEU), lymphocytes (LYM), and Neutrophil Lymphocyte Ratio (NLR). Logistic Regression algorithm was used to solve the problem, and hyperparameter optimization was implemented to obtain the best model performance. The objective of this study was to build the best parameter in classifying the patients’ vital status. The proposed model achieved an accuracy score of 78%, which is the best performance among the tested models. The results of this study provide a key component for decision making in hospitals, as it provides a way to quickly and accurately identify the vital status of COVID-19 patients. This study has important implications for managing the COVID-19 pandemic and should be of interest to researchers and practitioners in the field.
Remote Penetration Testing with Telegram Bot
Authors: Hafiz Naufal , Briliyant Obrina Candra , Priambodo Dimas Febriyan , Hasbi Muhammad , Siswanti Sri
Published: June 2023

The widespread of websites and web applications makes them the main target of cyber attacks. One way to increase security is to perform a penetration test. This test is carried out using the attacker's point of view to find out vulnerabilities on a website or web application and then exploit these vulnerabilities. The results of the penetration test can be used as recommendations to close the gaps that have been known through testing. Because penetration testing requires special resources such as tools and operating systems, a solution is needed to make penetration testing possible with low resources. Telegram bots that are open source offer a solution to overcome these problems. Using the SDLC waterfall approach, this bot was built to provide penetration testing services by connecting the Kali Linux server as a tools provider and the Telegram bot as an interface to users. As a result, users can access penetration testing tools anywhere and anytime via the Telegram bot. To ensure that the bot can run well, testing is carried out through black box testing and load testing. Telegram bot is a solution for integrated compact automatic mobile penetration tester with low resources. Based on load testing, the maximum limit of users who can access Telegram bots simultaneously is 35 users with the highest load average of 5.4. Based on the results of the User Acceptance Test, the Telegram bot has an acceptance rate score of 88,457 % and a questionnaire score of 774 which is an agreed area.
Secure Cybersecurity Information Sharing for Sectoral Organizations Using Ethereum Blockchain and IPFS
Authors: Tony Haryanto  , Ramli Kalamullah
Published: June 2023

The COVID-19 pandemic has resulted in increased cross-sector cyber-attacks. Passive and reactive cybersecurity techniques relying solely on technology are insufficient to combat sophisticated attacks, necessitating proactive and collaborative security measures to minimize attacks. Cybersecurity Information Sharing (CIS) enhances security via proactive and collaborative cybersecurity information exchange, but its implementation via cloud services faces threats from man in the middle (MITM) and distributed denial of service (DDoS) attacks, as well as a vulnerability in cloud storage involving centralized data control. These threats and vulnerabilities result in a lack of user confidence in the confidentiality, integrity, and availability of information. This paper proposes Secure Cybersecurity Information Sharing (SCIS) to secure Cybersecurity Information in sectoral organizations using the private interplanetary file system (IPFS) network and the private Ethereum Blockchain network. Private Ethereum Blockchain enables secure and transparent transaction logging, while Private IPFS network provides decentralized storage, addressing vulnerabilities in centralized storage systems. The outcomes of the tests reveal that the suggested SCIS system offers cybersecurity information availability, confidentiality, and integrity. SCIS provides a high level of security to protect cybersecurity information exchanged between sectoral organizations using the Private Ethereum Blockchain network and the Private IPFS network so that organizations can safely share and utilize information.
Triangular fuzzy numbers-based MADM for selecting pregnant mothers at risk of stunting
Authors: Hadikurniawati Wiwien , Dwi Hartomo Kristoko , Sembiring Irwan , Dwi Purnomo Hindriyanto , Iriani Ade
Published: June 2023

Stunting is caused by a lack of proper nutrition before and after birth. This research paper identifies and measures the risk of stunting during pregnancy and make recommendations for ranking pregnant women at risk. These aims to provide appropriate treatment and action to reduce mothers giving birth to children at risk of stunting. To make the optimal choice, the selection procedure for pregnant women at risk of giving birth to stunted children considers a variety of factors, including maternal age, maternal nutrition, arms circumference, hemoglobin, parity, birth interval, height, baby weight, and body mass index (BMI). Decision-maker’s expectation to reduce uncertainty and imprecision are represented linguistically by triangular fuzzy numbers. The triangular fuzzy numbers arithmetic approach is used to determine the selection process output. The ranking is determined from the alternative with the most parameter values to the alternative with the fewest parameters. Based on the results of the calculation, it was determined that PM (Pregnant Mother) had the highest score and was ranked first. That pregnant mother was declared as pregnant mother who had the lowest risk of giving birth to stunted baby
Real-Time Detection of Face Mask Using Convolutional Neural Network
Authors: Imam Husni Al Amin  , Deva Ega Marinda  , Edy Winarno  , Dewi Handayani U.N  , Veronica Lusiana
Published: June 2023

Masks are a simple barrier that can help us prevent transmission and spread of disease from other people who enter the body, avoid exposure to air pollution, and protect the face from the adverse effects of sunlight. However, many people are still ignorant about the importance of wearing masks for health. This study aims to detect whether or not to use masks in real-time by proposing a deep learning model to reduce illness and death caused by air pollution. The convolutional Neural Network (CNN) method was used in this research to detect facial recognition using a mask and not using a mask. The public dataset used in this research consists of 1300 images with 650 data using masks and 650 data without masks. The results of this study show that the proposed CNN method works well in detecting masked and non-masked faces in real time. The proposed method obtains an accuracy value of 97.5% at epoch 50. Previous research on mask detection using the Eigenface method yielded an accuracy of 88.89%, and another study using the Viola-Jones method yielded an accuracy of 95.5%. It can be concluded that this research can increase the accuracy value of previous studies. So, this research is feasible to be applied to the detection of mask use in real time.
THE ROLE OF WORD OF MOUTH COMMUNICATION IN PURCHASING BEHAVIOR OF ORGANIC PRODUCTS
Authors: AKŞİT Burcu , DAL Nil Esra
Published: June 2023

Çalışmada organik ürün tüketen tüketicilerin satın alma davranışında ağızdan ağıza iletişimin rolünü incelemek amaçlanmıştır. Bu amaçla, kolayda örnekleme yöntemi uygulanarak çevrimiçi anket metoduyla 577 katılımcıdan veri toplanmıştır.
Verilerin analizinde amaca uygun istatistik paket program aracılığıyla, güvenilirlik testi, frekans analizi, normallik testi, Sperman Sıra Farkları, korelasyon analizi, Mann-Whitney U Testi ve Kruskal-Wallis Testi uygulanmıştır.
Araştırma sonucunda; tüketicilerin organik ürün satın alma davranışlarında ağızdan ağıza iletişimin rolünü belirleyen tüm boyutların yüksek düzeyde etkili olduğu ve bu boyutların birbirleri ile pozitif yönlü ilişkiler içerisinde
olduğu belirlenmiştir. Ancak katılımcıların cinsiyetleri ve medeni durumları ile organik ürün satın alma davranışlarında ağızdan ağıza iletişimin rolü arasında anlamlı bir farklılık bulunamamıştır. Farklı yaş gruplarında bulunan,
çocuk sahibi olan veya olmayan, farklı eğitim ve gelir düzeyinde bulunan ve farklı meslek gruplarındaki katılımcıların organik ürünler satın alma davranışında ağızdan ağıza iletişimin rolünün farklılık gösterdiği sonucuna ulaşılmıştır.
The effect of open green space on the stress level of Bogor Botanical Garden visitors
Authors: Asahiro Yuriko , Sunkar Arzyana , Budi Hernowo Jarwadi
Published: June 2023

Stress is a global phenomenon that has become a part of everyday life. Stress can be triggered by the presence of stressors. In Indonesia, the prevalence of psychological stress keeps increasing. This study aims to analyze the perceived restoration effect of green open parks on the stress levels of Bogor Botanical Gardens visitors. A survey of 100 visitors of Bogor Botanical Garden was conducted based on the Perceived Stress Scale. Data on respondent characteristics and stress levels were analyzed using descriptive analysis, the visitor's characteristics that affected their stress levels were analyzed using stepwise linear regression and analysis of variance, and the effect of having a garden and the proximity to open green space on the visitor's stress levels were identified using analysis of variance. The respondents who felt low, medium, and high-stress levels, were 22%, 73%, and 5% respectively. The majority of the respondents perceived Bogor Botanical Garden as restorative. Factors that significantly affect the stress level of respondents are age and purpose of visit. The older the respondent, the lower their stress level tends to be. Visitors who visit for exercise/health activities have significantly lower stress levels than for other visits. In this study, no significant relationship was found between garden ownership and proximity to green parks on the stress level of the respondents.
Analysis of four categories of environmentally friendly building assessment (case study: Ministry of Energy and Mineral Resources, Jakarta)
Authors: Rahardjo Nurul Asmarani Damayanti , Chadirin Yudi , Karlinasari Lina
Published: June 2023

The Chairul Saleh Building or the Secretariat General Office Building has implemented the Energy Management Program since 2016. In this study, an assessment was carried out based on the GBCI environmental assessment tool, especially for aspects of land use, energy efficiency and conservation, water conservation, and building environmental management aspects. The requirement analysis to get a green predicate is provided by points assessment which fullfillment the standard. Chairul Saleh building has implemented 10 of the 16 points in Appropriate Site Development category. Energy efficiency and conservation, Chairul Saleh building has implemented 29 of the 36 maximum points. Water Conservation category managed to get 5 out of 20 maximum points, while Building Environmental Management managed to get 11 out of 13 points, Material Resource and Cycle get 8 out of 12 points, Indoor Health and Comfort, get 9 out of 20 points, which was determined in the GBCI greenship rating tools for existing building. The result revealed that in the total value of Chairul Saleh Building was 72 points, it meants achived the Gold certification. Based on the rating set by the GBCI greenship, the Chairul Saleh building is currently awarded a Gold rating for its ability to apply the green building standard.
Respon Rumah Tangga Petani Terhadap Ancaman Perubahan Ekologi:
Authors: Arrasyiida Raihani Alfiatush
Published: June 2023

Rumah tangga petani di kawasan banjir mengalami kerugian dan terhambatnya pendapatan disebabkan terendamnya lahan pertanian oleh banjir sehingga menimbulkan kerentanan pada sistem nafkah. Rumah tangga melakukan berbagai strategi nafkah serta memanfaatkan sumber-sumber nafkah yang tersedia agar dapat bertahan dan segera pulih dari krisis. Tujuan dari penelitian ini adalah untuk menganalisis struktur nafkah, strategi nafkah dan faktor-faktor yang mempengaruhi tercapainya resiliensi nafkah rumah tangga petani di kawasan banjir. Studi dilakukan di Desa Sumberurip, Kecamatan Pebayuran, Kabupaten Bekasi. Penelitian ini merupakan penelitian kuantitatif yang didukung dengan kualitatif. Teknik pengumpulan data melalui kuesioner untuk data kuantitatif dan wawancara mendalam untuk data kualitatif. Hasil penelitian ini menunjukan bahwa faktor yang mempengaruhi resiliensi rumah tangga petani di kawasan banjir adalah persentase pendapatan  pertanian sawah terhadap total pendapatan rumah tangga, jumlah sumber pendapatan rumah tangga, jumlah organisasi/lembaga yang diikuti rumah tangga,  dan jumlah kegagalan menghadapi krisis.
A importância da pesquisa histórica biográfica na Enfermagem: Anna Nery, Dorothea Orem e Florence Nightingale
Authors: freitas georgia
Published: June 2023

No cerne do presente estudo há a necessidade de buscar a importância da pesquisa para a construção do enfermeiro não somente em sua prática a serviço do próximo, mas sim no seu processo de autonomia em que conjuga saber e produção científica. Para isso, o objetivo deu-se pela observação dos tipos de pesquisa históricas no campo da Enfermagem com Cianciarullo et al (2011), conceitos de passado e presente para entender como esses dois momentos impactam na construção da figura do enfermeiro como um pesquisador e entender como as biografias da Anna Nery, Flora Nightingale e Dorothea Orem trazem ressonância à autonomia de pesquisa e ação desse profissional.
Fauna and Virological Investigation of Mosquitoes in Urban Parks in São Paulo, Brazil
Authors: Heinisch Marta R. , Medeiros-Sousa Antônio R. , Andrade Pâmela S. , Urbinatti Paulo R. , Almeida Rosa M. M. S. , Lima-Camara Tamara N.
Published: June 2023

The mosquito fauna in urban parks in the city of São Paulo, Brazil, was investigated and compared for richness and diversity, and the abundance of each species was associated with climatic variables. Simultaneously, a virological investigation was performed to test the presence of Flavivirus and Alphavirus. Aspirations of adult mosquitoes were conducted in 3 urban parks for 3 consecutive weeks of each season between October 2018 and January 2020. A total of 2,388 mosquitoes were identified, with Culex quinquefasciatus, Cx. nigripalpus, and Aedes aegypti being the most abundant species. Mosquito assemblages showed similar richness and diversity, showing variability in individual results. Temperatures and Ae. aegypti abundance correlated significantly in one of the parks investigated herein. Urban parks represent areas of shelter and refuge for both anthropophilic and opportunistic species, such as Cx. quinquefasciatus and Ae. aegypti, as well as species that still need moderately preserved environments to develop.