bluuebunny/crossref_metadata_2025 huggingface dataset:
Optical Features of AdS Black Holes in the Novel 4D Einstein-Gauss-Bonnet Gravity Coupled to Nonlinear Electrodynamics
Authors: Jafarzade Khadije , Zangeneh Mahdi Kord , Lobo Francisco S. N.
Published: March 2022

An alternative theory of gravity that has attracted much attention recently is the novel four-dimensional Einstein-Gauss-Bonnet (4D EGB) gravity. The theory is rescaled by the Gauss-Bonnet (GB) coupling constant α→α/(D−4) in D dimensions and redefined as four-dimensional gravity in the limit D→4. Thus, in this manner, the GB term yields a non-trivial contribution to the gravitational dynamics. In fact, regularized black hole solutions and applications in the novel 4D EGB gravity have also been extensively explored. In this work, motivated by recent astrophysical observations, we present an in-depth study of the optical features of AdS black holes in the novel 4D EGB gravity coupled to exponential nonlinear electrodynamics (NED), such as the shadow geometrical shape, the energy emission rate, the deflection angle and quasinormal modes. Taking into account these dynamic quantities, we investigate the effects on the black hole solution by varying the parameters of the models. More specifically, we show that the variation of the GB and NED parameters, and of the cosmological constant, imprints specific signatures on the optical features of AdS black holes in the novel 4D EGB gravity coupled to nonlinear electrodynamics, thus leading to the possibility of directly testing these black hole models by using astrophysical observations.
Hydrogeomorphologic Mapping of the Transboundary San Pedro Aquifer: A Tool for Groundwater Characterization
Authors: Sosa José Ismael Minjárez , Gutiérrez Anguamea Grisel Alejandra , Monreal Rogelio , Grijalva Noriega Francisco Javier , Tapia-Villaseñor Elia M.
Published: March 2022

Hydrogeomorphology is an emerging discipline that studies the relationship between landforms and hydrology, focusing on groundwater and surface water interactions. This study presents the methodology for the elaboration of a hydro-geomorphological map oriented to illustrate the relationships between the aquifer components and geomorphological characteristics in the United States-Mexico Transboundary San Pedro Aquifer (TSPA). This information contributes to a further understanding of the TSPA, facilitates the location of groundwater recharge and discharge zones, is useful for the development of sustainable groundwater management strategies, and could be useful in developing conceptual and numerical groundwater models for the region.
La promesa de una asociación recalificado entre el Caribe y la Unión Europea
Authors: Lodge Junior , Yves Jan
Published: March 2022

El Caribe y la Unión Europea (UE) mantienen una relación birregional formal desde la firma del Convenio de Lomé en 1975, y son firmes defensores del multilateralismo, de la integración regional, de la democracia y del Estado de derecho, además de reflejar vibrantes políticas multiétnicas y multilingües. La relación birregional ha evolucionado considerablemente en estos 45 años y se refleja en los acuerdos formales entre los Estados de África, el Caribe y el Pacífico (ACP) y la UE, y en el ámbito de la cooperación económica se ha reforzado con la firma del Acuerdo de Asociación Económica Cariforum-UE (CEPA, por sus siglas en inglés) en 2008. La UE también sigue siendo una fuente importante de cooperación al desarrollo para el Caribe, complementada por un régimen sui generis de gestión de proyectos que incluye la programación plurianual. Además, los lazos birregionales se han ampliado a nuevas áreas de esfuerzo multilateral conjunto, como el Acuerdo de Facilitación del Comercio (AFC) de la Organización Mundial del Comercio (OMC )y el Acuerdo de París sobre el Cambio Climático. A pesar del largo y formal compromiso, la asociación Cariforum-UE no ha producido ni una profunda comprensión ni un apoyo universal en la conducción de las negociaciones multilaterales de cada uno. Por el contrario, la asociación muestra regularmente destellos de malestar y de una posible tensión de bajo nivel. Este documento pretende evaluar la asociación entre el Caribe y la UE en términos de su contribución al comercio birregional y la cooperación económica para el desarrollo del Caribe, y las posibilidades de una asociación renovada teniendo en cuenta los nuevos impulsos que dan forma a la relación entre el Cariforum y la UE, incluyendo el Acuerdo pos-Cotonú, el Brexit, el Diálogo Político UE-ALC y las respuestas a la COVID-19. Se plantea un programa de desarrollo Cariforum-UE para impulsar la recuperación del Caribe tras la pandemia, con el valor adicional de aprovechar la promesa de la asociación revisada.
An integrative study of morphological and molecular characterization of Diplectanum aequans (Diplectanidae: Monogenea) infecting European sea bass Dicentrarchus labrax (Linnaeus, 1758) from Turkish coasts
Authors: AYDIN Coşkun , PEKMEZCİ Gökmen Zafer
Published: March 2022

The diplectanid monogenean Diplectanum aequans (D. aequans) (Wegener, 1857) is one of the most important ectoparasites in the wild and cultured European sea bass Dicentrarchus labrax (Dic. labrax) (Linnaeus, 1758) worldwide. Presently, there is no information on the molecular data of D. aequans from Turkish coasts. In the present study, diplectanid monogeneans were collected from wild and cultured Dic. labrax in the Black Sea (FAO area 37.4.2) and Aegean Sea (FAO area 37.1.3) coasts of Türkiye, morphologically identified, and genetically characterized by sequencing of 28S rRNA and 18S rRNA fragments. The collected diplectanids were unambiguously identified as D. aequans based on detailed morphological features and sequence characterization of partial 28S rRNA and 18S rRNA genes. The overall prevalence and mean intensity of D. aequans were 100% and 15.1, respectively. This study reports first information of molecular (28S and 18S rRNA) evidence of D. aequans from Dic. labrax in the Turkish coasts. The new 18S and 28S rRNA sequences for D. aequans isolated from the Black Sea and Aegean Sea are genetically characterized. The 28S and 18S rRNA sequences of D. aequans can be used to resolve the phylogenetic positions of species found in the family Diplectanidae from the Black and Mediterranean Sea.
“Androides sonham com ovelhas elétricas”? Leituras neurobioéticas de Westworld – 1ª Temporada
Authors: Marques Andreon Flavio , Nas Elen , Esperidião Antônio Vanderson , Silva Eugênio , Brunes Will Romario , Rodrigues Mendes Igor , Viana Vicari Mathias , Ferreira Gomides Lindisley
Published: March 2022

Introdução. O debate dirigido às questões relativas (1) à criação de robôs androides (2) dotados de inteligência artificial (IA) e que (3) poderão estabelecer relação com seres humanos tem alcançado grande relevância no campo bioético, técnico-científico e cinematográfico. Este é precisamente o universo descrito na série Westworld, as quais abrem caminho para reflexões acerca de uma neuro(bio)ética, termo que abrange conceitos da neurociência, da biotecnociência e da filosofia moral. Objetivo. apresentar e discutir questões sobre a neuro(bio)ética relacionadas à consciência aplicada aos entes artificiais e aos seres-humanos, utilizando como subsídio a primeira temporada da série Westworld. Resultados. No decorrer dos episódios, a série estimula o debate sobre até que ponto se pode estender ou limitar as fronteiras entre arte e a ciência. Também almeja-se discutir e apresentar a imbricada integração do sistema nervoso humano na construção dos processos consciência, assim como as interseções entre a consciência e a tecnologia, através da IA e da robótica. Conclusões. As atuais perspectivas de evolução da robótica e da IA demandam robusta reflexão ética, a qual tem como pano de fundo a questão kantiana "O que é o homem?". Diante disso, é de grande proficuidade entender o que se deseja da tecnologia e os porquês de tal desejo.
Clarifying the role of the strength and conditioning coach in athlete rehabilitation
Authors:   , Armstrong Andrew
Published: March 2022

Strength and conditioning (S&C) coaches are assumed as performance professionals, but S&C may be utilised in athlete rehabilitation. Some S&C coaches collaborate with physiotherapists in athlete rehabilitation. The role of S&C coaches in athlete rehabilitation has been poorly documented. Therefore, this thesis aimed to clarify the role of S&C coaches in athlete rehabilitation using current literature and the perspectives of physiotherapists and S&C coaches. Firstly, a narrative literature review on the roles involved in athlete rehabilitation helped to theorise a role for S&C coaches. Current literature highlights a gap in performance training at the end of athlete rehabilitation that S&C coaches could fill. Secondly, semi-structured interviews were conducted in New Zealand (NZ) with four physiotherapists, four S&C coaches and one S&C coach with a physiotherapy background. A thematic analysis of the interview data identified thirteen themes that were analysed in four categories. These themes in their respective categories were: Current role (teamwork with the rehabilitation team, level of involvement, and physical roles), proposed role (teamwork with the rehabilitation team, level of involvement, and physical roles), variables (rehabilitation team structure, governance, relationships in the rehabilitation team, and the athlete), and significance (positive and negative). The theorised role from the literature is similar to the current perceived role of S&C coaches in athlete rehabilitation. Most S&C coaches seem to have a small role in the end stages of athlete rehabilitation and take over from physiotherapists to provide performance training. Participants thought that S&C coaches should have a much greater role than this. Participants thought that S&C coaches can provide performance context throughout the athlete rehabilitation process, but poor communication and collaboration with health professionals reduces their role. Participants thought S&C coaches should be minimally involved following a health professional’s diagnosis. Their involvement should then increase as athlete function improves and the physiotherapist’s role decreases. Their most significant involvement would be in performance training. Participants agreed that the S&C coach’s role should be flexible and account for the context of rehabilitation and their own personal skillset.
Exercise classes for falls prevention: Older men's participation and perspectives
Authors:   , Hogue Laura
Published: March 2022

Exercise classes remain a common and recommended evidence-based intervention in falls prevention. Much of the literature supports the effectiveness of classes to reduce falls in community dwelling adults and adherence rates remain relatively high. However, estimations are that women outnumber men 3:1 in classes and reasons for this are not clear. Most studies in falls prevention have included only female participants and few have specifically reported on gender perspectives regarding class participation. This study aims to explore why there are fewer men than women attending exercise classes for falls prevention. The literature review in Chapter 2 highlights the gap involving older men in falls prevention research and explores how underlying beliefs and values in society, such as masculinity, can influence uptake and engagement in health services. In Chapter 3, the findings from the original study, as part of this thesis, are outlined. Firstly, that men are less likely to report falls and will try to reduce their falls risk in other ways. Secondly, the men also felt that classes are mostly aimed at women, therefore would not feel comfortable attending. The main conclusion from this thesis is that exercise classes for falls prevention do not meet the needs of older men and attendance rates for men will continue to be low compared to women. It is recommended that further research be conducted with older men to develop and explore options that do work for them to reduce the risk and rate of falls amongst the older population. This thesis adds to an emerging body of literature that falls prevention programmes need to reflect a gender perspective and approach.
Determinant of Labor Force Resilience Against The Employment Impact of The Covid-19 Pandemic in Bali Province, Indonesia: An Application of Survival Analysis
Authors: Ningsih Ni Luh Putu Yayang Septia , Dokhi Mohammad
Published: March 2022

The impact of coronavirus disease 2019 (Covid-19) pandemic is not only on health problems, but also has a negative impact on economic. The sector that economically worst affected by the pandemic is the tourism and its derivatives. As a result of depending heavily on the tourism sector, Bali is the province with the most labor force that has stopped working during the pandemic. In this study, data from the national labor force survey were analyzed using the Weibull-Gamma Shared Frailty Survival Model to explore the determinants of labor force resilience against the event of stop working due to the Covid-19 pandemic. The results show that gender, education level, experience in training, marital status, and age of labor force are variables that significantly affect on how quickly a labor force experiences an event of stop working. Moreover, variations among regions where they work (regencies/cities) also have a significant effect on stop working acceleration.
Personalized Route Recommendation Method for Field Survey Officers using Social Media Information and Administrative Border Maps
Authors: Hardiyanto Eko
Published: March 2022

Changes in business processes in pandemic conditions are a must. The field survey were most affected, not only the interview process but also the route selection to survey location. To support the field survey officer, it is necessary to provide alternative route choices to the survey location as fast as possible. This research proposed a methodology that combines three information source, administrative border maps, google maps services, and information from social media that elaborated to provide best recommendation route to the assigned survey location. The combination of three different sources can enhance the current existing route that only relies on google map services. Our mechanism was tested on custom my maps application provided by Google and evaluated using system usability scale. This research aims to give the personalized route to field survey officers based on the assigned survey location and information from social media. The limitation of this research is that the social media channels used are still few, in the future, this research can be leveraged by integrating other platforms owned by the government and other public services to enrich the information.
Development of The Welfare Index at Sub-district Level in West Java 2020: A Small Area Estimation Approach
Authors: Monadiyan Nimas Ezra , Haris Faisal
Published: March 2022

Welfare as an alternative measure for poverty, is an important indicator to measure. But there is no composite indicator that specifically measures the prosperity of a population yet. Considering the increase of data needed and the lack of available data at the smaller level, this study develops the Welfare Index at sub-district level for West Java in 2020 using a small area estimation approach to explain the condition of welfare of the population. The indicators in sub-district level formed in this study were created from two kinds of data. The first type of indicators were formed from SUSENAS using Small Area Estimation and the other type of indicators were formed from PODES aggregation. All the indicators were then processed with factor analysis to form the Welfare Index. The Welfare Index formed shows the range of 22.86 to 83.76 and generally higher in the northern part of West Java. This index has a correlation of 0.798 with the Human Development Index because of the components that defined both indexes. The existence of this correlation shows that the Welfare Index formed is able to explain the conditions/phenomena being measured.
Potencies and Threats of The Demographic Bonus on The Quality of Human Resources and Economy in Indonesia 2019
Authors: Risandini Febby , Silvi Rini
Published: March 2022

The success of Indonesia’s development is marked by increasing economic growth, which is in line with the demographic transition, where the number of people who are borne is less than the population which bears it. Indonesia will enter the peak of the demographic bonus in 2030, where every 100 productive aged people bear 46 to 47 non-productive-aged people. The demographic bonus can positively impact on the economy and the quality of human resources if its potential is adequately utilized but becomes a threat if not maximized. Therefore, path analysis is used in this study to analyze the potencies and threats of the demographic bonus and its effect on economic growth, either directly or indirectly through the quality of human resources. The results of this study are the potential index consisting of labor absorption, household savings, and women in the labor market does not significantly influence on the quality of human resources and economic growth. Meanwhile, the threats index, which consists of internet access, migration, and child marriage, has a significant positive direct effect on economic growth and a significant negative indirect effect on economic growth. These results indicate that the threat index has a greater influence than the potential and it is hoped that the government will focus on reducing the threat of the demographic bonus, but it must be accompanied by an increase in the quality of human resources.
Antisocial Behavior Monitoring Services of Indonesian Public Twitter Using Machine Learning
Authors: Astuti Fitri Andri
Published: March 2022

Antisocial behavior is a personality disorder that has characteristics such as repetitive actions that violate social norms, deceit and lying, impulsiveness, irritability and aggression, reckless disregard for the safety of oneself and others, consistently irresponsible, and lack of remorse. The cause can be from various factors, including genetics, psychological conditions, interactions in the environment, and wrong parenting. The impact of antisocial behavior on social life can cause people to tend to be aggressive and take it into action by not having feelings of guilt for their actions. Thus, a monitoring of antisocial behavior disorders is needed so that it can be a warning for the public to be more concerned about the difficulties experienced by each other. The potential gained from the availability of tweet data access from the Twitter API opens up opportunities for monitoring antisocial behavior. By utilizing traditional machine learning and deep learning methods, it can be an opportunity to automate labeling on Twitter data that contains elements of antisocial behavior. Based on the description of the problems and opportunities found, this study proposes a multi-class classification monitoring service to identify public antisocial behavior on Twitter Indonesia using machine learning.
Return to Education Estimation on Self-Employment Entrepreneurs and Their Comparison with Workers in Indonesia
Authors: Wahyudi Dwi , Hanri Muhammad
Published: March 2022

Entrepreneurship in various pieces of literature is mentioned as one aspect that adds value to a country's economy. Using Sakernas August 2019 data and the Mincer income model, this study estimates the educational investment in self-employed entrepreneurs. The results show a positive effect between years of schooling and income earned. Compared to workers, the level of assessment of entrepreneur education looks lower. In addition, this study also looks at how income among entrepreneurs. The Gini coefficient shows 0.47 for self-employed entrepreneurs and 0.41 for workers. There is a sizeable amount of income inequality for self-employed entrepreneurs.
Impact of Information and Communication Technology on The Welfare of Population in Eastern Indonesia
Authors: Dewi Dyah Makutaning , Setyaningsih Istu Indah , Romadhon Ariful
Published: March 2022

During the Covid-19 pandemic, many countries in the world are expected to experience a slowdown or decrease in Human Development Index (HDI) growth including Indonesia. The disparities in development among regions to be one of the main issues in Indonesia. The gaps are not only occurring in HDI, but also in Information and Communication Technology (ICT) facilities between Western Indonesia and Eastern Indonesia. The purpose of this study is to analyze how Information and Communication Technology affects the Welfare of the Population in Eastern Indonesia. Research methods use multiple linear regression methods. The data is sourced from the BPS-Statistics Indonesia which consists of 17 provinces. The results showed that the percentage of internet users had a positive and significant effect while the percentage of the poor population had a negative and significant effect on the welfare of the population in eastern Indonesia. Therefore, the distribution of infrastructure, especially ICT infrastructure, does not only focus on western Indonesia. Therefore, it is expected that the population welfare gap will be reduced. The increasing use of the internet during the Covid-19 pandemic can be used as an opportunity to be used as a bridge for the distribution of information, communication, and digital-based economic development in order to achieve equitable welfare, especially in eastern Indonesia.
SMOTE and Nearmiss Methods for Disease Classification with Unbalanced Data
Authors: Alamsyah Anas Rulloh Budi , Anisa Salsabila Rahma , Belinda Nadira Sri , Setiawan Adi
Published: March 2022

Unbalanced data are often encountered in practice. They complicate the search for a model suitable for classification. This is because the number of individuals who have a history of a disease is less than the number of individuals who do not. We analyse the IFLS 5 data on medical history of a set of patients. We split the dataset in the proportion 80:20 to training and test subsets. Of course, both datasets are unbalanced, with only a small minority of patients who had a stroke. We apply the SMOTE and Nearmiss methods and evaluate the rate of correct classification. After being treated using the two methods, the training data was transformed into balanced data. The classification process is carried out to test the comparison of the effectiveness of the two methods in solving the problem of unbalanced data. Based on the results obtained, it can be concluded that the Nearmiss method is better than SMOTE in balancing the data. It was obtained by comparing several measures such as accuracy, F-score, Kappa, sensitivity, and specificity on the SMOTE and Nearmiss methods.
Analysis of Rice Field Cluster in Indonesia as an Evaluation of Food Production Availability Using Fuzzy C-Means
Authors: Setiono Heru , Dianto Totok M
Published: March 2022

Rice fields area in Indonesia is getting narrower every year with the rampant construction of housing and buildings. It results in lower availability of food production hence to meet the needs we have to import rice from other countries. By clustering rice fields, it can be used as an evaluation material to increase food production in Indonesia so that the need for rice imports can be minimized. The method used in the grouping of Rice Fields is the Fuzzy C-means method, implementation of the Knime Tool with data training and testing. The Fuzzy C-Means program produces three data groups/clusters, namely wide, moderate, and narrow rice fields. The results of the clustering show that the most potential areas for food production from rice fields are East Java, Central Java, and West Java.
Comparing Voluntary and Involuntary Part Time Female Workers in Maluku
Authors: Briliyanto Muhamad Bagus Adji , Harsanti Titik
Published: March 2022

Maluku Province has the third highest average length of schooling (RLS) for women nationally, but the rate of female workers with below normal working hours (part-time workers) is quite high. This study aims to determine the general description of married women age 15-49 years as part-time worker in Maluku and the determinants, also their tendency based on the significant variables using data from the National Labor Force Survey (Sakernas) August 2019. The analytical method used is multinomial logistic regression. The results of the study indicate the variables that significantly affect the part-time worker status of married women of reproductive age are employment status, income, and business field. The status of involuntary part-time worker (underemployed) significantly affected by age, work sector, disability, and the presence of toddlers. The status of voluntary part-time workers significantly affected by regional classification and education. The tendency to become underemployed is highest among those who have incomes below the minimum wage, work in agricultural sector, and work in informal sector. Meanwhile, the tendency to become voluntary part-time workers is highest among those who have incomes below the minimum wage, and work in the agricultural sector. So, policy makers must ensure married women get a decent paid job.
Enhancing Official Statistics Data Dissemination using Google Firebase Platform on Mobile Application: A User-Centered Design Approach
Authors: Nurcahyanti Wisma Eka
Published: March 2022

The dissemination of official statistics as publicly available information has been mandated in the United Nations Fundamental Principles of Official Statistics (UNFPOS) to be highly accessible to all users. Recently, with an increasing volume of data and public demand, National Statistical Offices (NSO) including Statistics Indonesia (BPS) are being challenged to provide accurate, excellent-quality, and user-friendly information. In this paper, we introduce our attempts to enhance the official statistics data dissemination by developing an Android-based mobile application using a User-Centered Design (UCD) approach to meet the requirement of specifically targeted users. Google Firebase platform is utilized to improve the administrator-level usability in updating the disseminated information. The proposed mobile application is launched at BPS-Statistics Madiun Municipality, East Java Province called Batu Cadas (an acronym for BAca TUjuh CAtatan DAta Statistik). Further evaluations using Black-Box functionality testing, System Usability Scale, and specific needs comparison conclude that the proposed mobile application is sufficient to cover the gap between user needs and the currently existing applications.
Knowledge-based Utilization in Organizational IT Support. A Case Study at BPS-Statistics Indonesia
Authors: Permadi Herlambang , Sensuse Dana Indra
Published: March 2022

Many problems in the IT sector are experienced by employees in carrying out daily government activities. The problems faced often disrupt government activities in providing services to the community. This study analyzes the IT problems that are often found in organizations and their impacts. As many as 43 people have participated in the survey to identify what problems are often experienced and the impact they have had. The survey started with 7 IT service groups and produced 37 IT problems. The result is an implementation of a knowledge-based system that can help employees in solving IT problems on their own in their work environment.
Estimation of Education Indicators in East Java Using Multivariate Fay-Herriot Model
Authors: Permatasari Novia , Ubaidillah Azka
Published: March 2022

Education is an important aspect in improving human resources. Data availability of education indicators in a low administrative level is needed as a basis for education planning in that region. The problem of sample size when provide a low administrative level data can be overcome by indirect estimation, namely Small Area Estimation (SAE). SAE is able to increase the effectiveness of the survey sample size by using the strength of neighbouring areas and information from auxiliary variables related to the variables of interest. We obtain simulation study to compare multivariate model to univariate model and implement multivariate model to estimate three education indicators which are obtained from the National Socio-Economic Surveys by Statistics Indonesia. Simulation results are in line with previous studies, where the multivariate Fay-Herriot model with p variable has smaller of mean squares error (MSE) than the univariate model. The model implementation to estimate CrudeParticipation Rate (APK), School Participation Rate (APS), and Pure Participation Rate (APM) also shows that the multivariate model produces smaller RRMSE than the direct estimates. It can be concluded that multivariate model is able to produce more efficient estimates than direct estimation and univariate model.
Do Tourist Attraction Objects Implement Health Protocols? Analysis of Tourist Attraction Object in East Java Province Using Google Maps Review
Authors: Ratriatmaja Disya Pratistaning , Projo Nucke Widowati Kusumo
Published: March 2022

The COVID-19 pandemic has impacted the tourism sector, particularly the Tourist Attraction Object (TAO) in Indonesia. This research aims: to analyse the implementation of health protocols and facility conditions at TAO, to analyse the change in visitor sentiment and rating towards TAO before and during the COVID-19 pandemic, to analyse the close relationship between ratings and reviews of visitor sentiment on TAO, to analyse the possibility of web scraping data to complement tourism data from BPS Statistics Indonesia. Using Google Maps review, this research uses the Multinomial Naïve Bayes (MNB), Term Frequency-Inverse Document Frequency (TF-IDF), pseudo-labelling, and word association methods. The results show that the health protocol has been implemented in TAO of East Java province, the available facilities are good, and there is no change in reviews during the TAO pandemic. The Stuart-Kendall Tau-c value shows a weak relationship in a positive direction between rating and review sentiment. According to Haversine, Jaro Winkler, and Levenshtein, the data calculation indicates that web scraping data can complement tourism data for BPS-Statistics Indonesia.
Entity Matching of Shop Accounts in Online Commerce Portals
Authors: Salsabila Dina , Takdir Takdir
Published: March 2022

Currently, online marketplace data are valuable data sources to be analyzed forvarious purposes. In the data collecting phases, duplication of shop accounts was found, resulting in biased analysis. This study examines the development of a mechanism to identify duplicate entities, i.e. store accounts, between different online marketplaces, or commonly known as entity matching. Word similarity algorithms were adopted as the core elements of our approach. Additionally, we present an entity matching model by examining logisticregression, naive Bayes, and random forest to find the best model for classifying store account similarities. Top online marketplaces in Indonesia are the object of our study, limited to one developing municipality, i.e. Sleman, DI Yogyakarta. The results show the best model has an accuracy value of 0.961, precision of 0.963, a recall of 0.958, and an F1-score of 0.962. Therefore, these results are acceptable for duplicate identification.
Development of Question Answering System for Public Relation Division in Student Admission
Authors: Maghfiroh Lutfi Rahmatuti , Syahputra Wahyudi , Santoso Ibnu
Published: March 2022

Politeknik Statistika STIS (Polstat STIS) holds the new students' admission (PMB) every year which aims to gather, test, and, select all of its applicants who want to continue their study at STIS. STIS establish a committee during this event named Public Relation (PR) Division. PR Division to be intermediaries between STIS and the applicants. One of many PR Division tasks is to reply to all the questions from applicants about administration, procedure, or other things about PMB and STIS. PR Division is facing some problems that can hinder its performance to do the tasks. How do we address the problem is the reason that this research begins in the first place. The goal of this research is to build and establish a web-based system that is capable to solve all the problems the current system has. The system is divided into two main functions, the first one is FAQ management by PR Division members. The other function is a chatbot that automatically answers the question by using the TF-IDF algorithm. The conclusion on all testing and evaluation is the system that being build is already fulfilled all its requirements also the system is feasible to be used.
Glymphatic System and Subsidiary Pathways Drive Nanoparticles Away from the Brain
Authors: Liu Rui , Jia Wenfeng , Wang Yushan , Hu Chuan , Yu Wenqi , Huang Yuan , Wang Ling , Gao Huile
Published: March 2022

Although drug delivery systems (DDS) are efficient in brain delivery, they face failure in clinical settings due to their potential toxicity to the central nervous system. Little is known about where the DDS will go after brain delivery, and no specific elimination route that shares a passage with DDS has been verified. Hence, identifying harmless DDS for brain delivery and determining their fate there would strongly contribute to their clinical translation. In this study, we investigated nonreactive gold nanoclusters, which can deliver into the brain, to determine the elimination route of DDS. Subsequently, nanoclusters in the brain were systemically tracked and were found to be critically drained by the glymphatic system from the blood vessel basement membrane to periphery circulations (77.8 ± 23.2% and 43.7 ± 23.4% contribution). Furthermore, the nanoclusters could be actively transported across the blood-brain barrier (BBB) by exosomes (30.5 ± 27.3% and 29.2 ± 7.1% contribution). In addition, microglia promoted glymphatic drainage and passage across the BBB. The simultaneous work of the glymphatic system, BBB, and microglia revealed the fate of gold nanoclusters for brain delivery and provided a basis for further brain-delivery DDS.
Choline oxidase: An enzyme of immense industrial potential
Authors: Kaushik Sonia , Rameshwari Rashmi , Chapadgaonkar Shilpa S.
Published: March 2022

Enzymes are responsible for carrying out more than 5,000 biochemical reaction types. They have remarkable efficiency and specificity. They have been widely used in many industrial processes such as food processing, beer fermentation, laundry detergents, pickling purposes, and work as biomarkers for various health conditions. One of the commercially important enzymes is choline oxidase. It belongs to the oxidoreductase family. Oxidoreductases catalyze the transfer of electrons, from electron-donating molecules (reductants) to electron-accepting molecules (oxidants). The current review is focused on the understanding of the wider range of applications of choline oxidase. Choline oxidase plays a key role in the development of resistant transgenic plants against salt, drought, salinity, and low temperature. This enzyme catalyzes the reaction between choline and betaine glycine. Betaine glycine is an osmoprotectant and instrumental in helping plants and bacteria survive dry conditions. Choline oxidase helps in the determination of mustard agents. This insight has helped in devising sensors and developing bioassays for the determination of mustard agents in contaminated environmental sites. Betaine glycine inhibits the growth of cancer cells in vitro. Betaine intake as a nutrient is helpful in the management of good liver, kidney, and heart health. Feeding broiler chicken with choline and betaine glycine as dietary supplements, had a huge positive impact on weight gain, feed efficiency and consumption, and as well as on mortality. Choline oxidase has been engineered for the potential application as biological bleach in detergents. Choline oxidase is having a promising future as an industrial enzyme.
Evaluación de la calidad de agua de arroyos de la provincia de Entre Ríos
Authors: Lallana Víctor , Elizalde Jose , Lallana María del Carmen , Billard Cristina , Meucci Gino , González Rosa , Ferreira Teófilo , Boschetti Graciela
Published: March 2022

El objetivo fue evaluar la calidad del agua de arroyos colectores de cuenca de los departamentos Federal, Federación, Feliciano y Diamante, vinculados a las represas para riego de cultivos, en situación de aguas bajas. Se muestrearon 12 ambientes de arroyos incluyendo un inventario de la vegetación. Se tomaron muestras de agua para análisis físico-químico y para la realización de dos tipos de bioensayos: Allium test y germinación de semillas de Lactuca sativa. La longitud radicular e índice de germinación, variables registradas en ambos bioensayos, se analizaron mediante la prueba Dunnet. Los arroyos del centro norte de Entre Ríos presentaron bajos valores de RAS (<10) y conductividad eléctrica (CE) menor a 750 μS cm-1. En los arroyos del departamento Diamante la CE osciló entre 910 y 1170 μS cm-1. La prueba de Allium test fue negativa al igual que el bioensayo de toxicidad en germinación de semillas de lechuga. Los análisis físicoquímicos y los bioensayos indicaron aptitud para el riego y sin toxicidad en las aguas de los arroyos del centro norte de Entre Ríos, mientras que los del departamento Diamante, si bien no presentan toxicidad, no resultarían aptos para el riego de los cultivos en época de estiaje por su alta CE.
¿Existe un prototipo de hietograma sintético para diseño hidrológico?
Authors: Caamaño Nelli Gabriel , Dasso Clarita , Mascuka Ezequiel
Published: March 2022

La precipitación crítica considerada para prevenir desastres por inundaciones es la lluvia de diseño que, hipotéticamente, ocurriría en el futuro con determinada frecuencia. Su empleo obedece a la ausencia de series históricas de caudales, aptas para deducir la crecida de proyecto. Para predecir el hietograma de diseño, cuya forma incide marcadamente en la del hidrograma resultante, hay numerosas alternativas, determinísticas y estadísticas. Entre las primeras, generalmente utilizadas, se suele asumir que el perfil más verosímil proviene de sintetizar eventos históricos. Éste debería ser, pues, el paradigma para aquellos esquemas propuestos como alternativa. Pero, como no parece que distintos mecanismos de síntesis produzcan formas similares, se dedujeron hietogramas tipo por los métodos de Huff (1967) y Pilgrim et al. (1969), característicos del enfoque aludido, y se compararon mediante varios índices, analizando si constituyen variantes de una misma matriz. Los ensayos contemplaron 16 casos, correspondientes a cuatro duraciones de intervalos de máxima intensidad anual de lluvia, en cuatro estaciones del centro de Argentina. Se estableció que no existe concordancia esencial entre los resultados de ambas técnicas. Como hay baja correlación y ocurre para probabilidades de no excedencia superiores al valor recomendable para el procedimiento de Huff, se carece de un arquetipo único.
Aspectos metodológicos y resultados de la regionalización de precipitaciones máximas para la provincia de Entre Ríos
Authors: Zamanillo Eduardo , Larenze Gustavo , Tito María Josefina , Pérez Martín , Garat María Eugenia , Gómez Patricia
Published: March 2022

Se describe la metodología y los resultados obtenidos de la regionalización de las precipitaciones máximas en la provincia de Entre Ríos. Se discuten los criterios para seleccionar las estaciones representativas, realizar el ajuste estadístico y los mapas de precipitaciones máximas para distintos períodos de retorno y duraciones de uno a cuatro días. Se utiliza el Criterio de Información de Akaike y los errores cuadráticos medios en la variable y en la frecuencia para seleccionar la distribución de mejor ajuste local y regional. Se presentan específicamente los mapas regionalizados mediante el uso de la distribución GEV y el método del Índice de Crecientes. Se comparan los resultados obtenidos con los que resultan de aplicar una metodología de regionalización basada en L-momentos. Se presentan las relaciones i-d-T calculadas y se las vinculan con los resultados de la regionalización de máximos diarios para estimar intensidades para duraciones menores a un día en zonas donde no existe registro pluviométrico. Se muestran los resultados de aplicar el Método de Pilgrim para la estimación del patrón de distribución temporal de tormentas intensas. Se presentan las herramientas informáticas desarrolladas tanto para la visualización como para el cálculo de tormentas de proyecto en cualquier coordenada geográfica de la provincia.
Análisis fractal de la red de drenaje del arroyo Feliciano (Entre Ríos, Argentina)
Authors: Zucarelli Graciela , Tabernig Darío
Published: March 2022

La investigación en una gran diversidad de áreas está adoptandoel concepto dela geometría de fractales; quefue establecida por primera vez por Benoit B. Mandelbrot en 1975 y tiene cada vez mayor aplicación en todos los campos del conocimiento. El concepto principal de esta nueva geometría es la dimensión fractal D, que es una propiedad del objeto, la cual indica qué tanto ocupa el espacio que lo contiene y puede adquirir valores continuos en el espacio de los números reales entre 0 y 3. Se presenta en este trabajo la aplicación de métodos para obtener la dimensión fractal del arroyo Feliciano y su red de drenaje. Uno de ellos es el método gráfico de Box-Counting y el otro se basa en ecuaciones empíricas que emplean los parámetros de Horton. Los resultados muestran que el arroyo Feliciano puede ser visto como un objeto fractal, si se comparan con los presentados por diversos autores en la bibliografía consultada
Aprovechamiento del río Carcarañá-Tercero como vía fluvial navegable. parte I
Authors: Basile Pedro , Riccardi Gerardo , Zimmermann Erik , Stenta Hernán , Bussi Pablo , Mangiameli Pablo , Pesci María
Published: March 2022

En algunas zonas las carreteras y las vías de ferrocarril son inexistentes o, alternativamente, las rutas y/o tendidos ferroviarios que existen son inadecuados o insuficientes para el transporte comercial. En esas zonas los ríos potencialmente navegables existentes resultan extremadamente importantes para el transporte de mercancías. El transporte comercial mediante navegación fluvial interior es un importante modo de transporte. En efecto, en la mayoría de las situaciones, en comparación con los otros modos de transporte, tiene la ventaja de menor costo, menor consumo de energía y ahorro de tierras. El objetivo principal del presente trabajo es la realización, a nivel de prefactibilidad, de los estudios necesarios para definir en correspondencia de los ríos Carcarañá-Tercero una ruta fluvial comercialmente navegable. El objetivo propuesto conduce a definir el área de estudio como la zona de influencia del sistema formado por el río Coronda y el río Carcarañá- Tercero, cuyo centro de gravedad puede localizarse en la ciudad de Bell Ville. Aquí se presenta la evaluación de prefactibilidad técnica de un sistema de transporte fluvial integral para esos ríos, haciendo hincapié en el diseño de la vía fluvial y del sistema de transporte.
Infraestructura verde como alternativa sustentable para reducir el riesgo hídrico en aéreas urbanizadas
Authors: Zimmermann Erik , Bracalenti Laura , Onocko Adolfo
Published: March 2022

En este trabajo se aborda la incidencia de los espacios verdes urbanos y periurbanos en la dinámica hídrica de tres subcuencas de la ciudad de Rosario, ubicadas al norte y noroeste del casco urbano sobre el valle de inundación del arroyo Ludueña. Se aplicó un método simple para estimar un indicador, basado en el coeficiente de escorrentía del método racional, que permitió cuantificar la magnitud del impacto de áreas verdes en el escurrimiento de cada subcuenca. El coeficiente de escorrentía (C), correspondiente a un área determinada, se estima en base al uso y el tipo de suelo existentes, pautado por una vasta bibliografía internacional. La clasificación de suelo se realizó a través de la interpretación de imágenes satelitales y de su constatación en campo, asociando las clases detectadas a los coeficientes de escorrentía definidos para distintos tipos de tejido y coberturas de suelos urbanos y rurales. Se propuso un método para relacionar cambios en el indicador, conforme a escenarios hipotéticos de uso del suelo, con modificaciones del riesgo de inundación, en términos de recurrencia de diseño. Esta relación permite detectar que aumentos adecuados de superficie con cobertura vegetal, reducen significativamente el riesgo de inundaciones en los sistemas urbanos. En los tres casos analizados, un escenario que respete las áreas no urbanizables y considere espacios verdes urbanos, permite evacuar excedentes pluviales futuros con la misma infraestructura existente albergando mayor población.
Trends Of Online Vegetable Shopping Decisions In Bale Hydroponics In The Covid-19 Pandemic Era
Authors: Budi Handoko Budi Handoko , Zebua Damara Dinda Nirmalasari
Published: March 2022

This study aims to 1) Knowing the current trend of online vegetable shopping 2) Knowing consumer decision making in online shopping. The location selection was carried out purposively by considering that Bale Hydroponics is an organic vegetable marketing business that markets organic vegetables online. This study uses a qualitative method. The observed variables are factors that influence consumer decisions in making online purchases, namely lifestyle, product quality, price and ease of payment/transaction. The results showed that six factors that influence consumer decisions in online shopping at Bale Hidroponik are lifestyle, quality availability information, relatively affordable prices, ease of payment/transaction, easy access, attractive promotions, quality service and delivery time.
Risk factors of menstrual function disorders against obesity
Authors: Borshulyak A.A. , Andriyetsʹ O.A. , Bodnaryuk O.I. , Andriyetsʹ A.V.
Published: March 2022

The relationship between menstrual disorders and obesity of different genesis in adolescent girls has been analyzed. Based on clinical and ultrasound parallels in girls with menstrual disorders on the background of obesity of various genesis, the available data on the pathogenesis of reproductive health disorders in this pathology have been expanded, and the need to improve the algorithm of diagnostic and treatment and prevention measures has been scientifically substantiated. The most informative prognostic criteria for the occurrence of menstrual disorders in obese adolescent girls have been identified, on the basis of which it is possible to form risk groups in which primary prevention is required. According to the World Health Organization, the prevalence of obesity among women of childbearing age ranges from 1.8 to 25.3% in different countries. Body weight plays an important role in the formation of menstrual function. It is known that adipose tissue is involved in the regulation of the menstrual cycle, because it also synthesizes female sex hormones. Excess adipose tissue accumulates steroids and active estrogens. This leads to a change in the production of a number of hormones that disrupt the coordination of the neuroendocrine system. We can say that excess adipose tissue becomes an additional endocrine gland.

Keywords: adolescent girls, overweight, menstrual disorders.
The Use of The Celta Frameworks to foster speaking skills in the English language classroom
Authors: Chiriboga-Gárate Verónica Vanessa , Vega-Auquilla Melita Vanessa
Published: March 2022

This study aimed to analyze the effect of CELTA frameworks on the speaking skill development and motivation of students in a 4-month English as a foreign language (EFL) course in their senior year, while preparing for an international English language exam. The study collected data on students' speaking proficiency at pre-test and post-test.  The results showed a significant increase in students' pronunciation, fluency, vocabulary, and grammatical accuracy, as well as high motivation to speak, confidence in using the language, and a recognition of the importance of teamwork through interaction with peers. It was concluded that the use of CELTA frameworks is an effective means of fostering language production in the English classroom. Recommendations for future research are included.