bluuebunny/crossref_metadata_2025 huggingface dataset:
Selected ‘Starter Kit’ energy system modelling data for Malaysia (#CCG)
Authors: Allington Lucy , Cannone Carla , Pappis Ioannis , Barron Karla Cervantes , Usher Will , Pye Steve , Brown Edward , Howells Mark , Niet Taco , Walker Miriam Zachau , Ahsan Aniq , Charbonnier Flora , Halloran Claire , Hirmer Stephanie , Taliotis Constantinos , Sundin Caroline , Sridha Vignesh , Ramos Eunice , Brinkerink Maarten , Deane Paul , Gritsevskyi Andrii , Moura Gustavo , Rouget Arnaud , Wogan David , Barcelona Edito , Rogner Holger
Published: July 2021

Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to energy system modelling, causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Malaysia, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and two stylized scenarios (Fossil Future and Least Cost) for 2020–2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.
Selected ‘Starter Kit’ energy system modelling data for Vietnam (#CCG)
Authors: Allington Lucy , Cannone Carla , Pappis Ioannis , Barron Karla Cervantes , Usher Will , Pye Steve , Brown Edward , Howells Mark , Walker Miriam Zachau , Ahsan Aniq , Charbonnier Flora , Halloran Claire , Hirmer Stephanie , Taliotis Constantinos , Sundin Caroline , Sridha Vignesh , Ramos Eunice , Brinkerink Maarten , Deane Paul , Gritsevskyi Andrii , Moura Gustavo , Rouget Arnaud , Wogan David , Barcelona Edito , Rogner Holger , Cronin Jen
Published: July 2021

Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to energy system modelling, causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Vietnam, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and three stylized scenarios (Fossil Future, Least Cost and Net Zero by 2050) for 2020–2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.
Development of a computer-based simple pendulum experiment set for teaching and learning physics
Authors: Sukmak Warawut , Musik Panjit
Published: July 2021

The development of a cost-effective experiment set is essential for teaching and learning physics in educational institutes. We aim to develop a computer-based simple pendulum experiment set consisting of a simple pendulum, infrared phototransistor, and Arduino board for calculating the gravitational acceleration (g). We used 13 pendulum lengths with five angles for each length to measure the period of motion. We found linear relationships between lengths and period-squared. The g-value was 9.806 ± 0.025 (average ± standard error) m/s2. Since this experiment set is cost-effective, and more straightforward method to understand, it will benefit the physics learning in educational institutions.
Luxury brand consumption and counterfeiting: A case study of the Portuguese market
Authors: Varela Miguel , Lopes Paula , Mendes Rita
Published: July 2021

This paper discusses the trade of counterfeit luxury brands, which has grown at an alarming rate and is becoming a pertinent topic. The objective of this study is to specify the factors that influence purchase intention of counterfeit products. A questionnaire was applied to a group of Portuguese consumers, wherein 43% male and 57% female, with an average age of 32.59 years (SD = 9.78). The middle class registered the highest number of responses (86%), followed by the upper class (11%). Most respondents had higher education (76%). This group agreed to declare that they purchase counterfeit luxury products. Qualtrics software was used to validate one hundred responses. Data analysis was performed using SPSS.The results show that the three most popular counterfeit products are bags, clothes, and watches; the three brands that are most easily for sale are Louis Vuitton, Ray-Ban, and Nike; the main motivation associated with counterfeit goods is lower price (44%). The main sources are street vendors and online shopping. The intention to re-purchase a counterfeit product obtained low median results.The most desired counterfeit products are bags and clothes that are sold by street vendors (28%) or in the Internet (26%). The main factors that lead to the acquisition of counterfeit products are lower prices (44%) and product design (11%). 130 consumers declared the highest price satisfaction than a personal satisfaction from the purchase of counterfeit products. Portuguese consumers are also aware of ethical issues and agree with the enforcement of severe measures.
STRUCTURE OF A SOFTWARE PRODUCT FOR SEMANTIC ANALYSIS OF TEXTUAL INFORMATION
Authors:   Astrakhan State University, AZHMUKHAMEDOV ISKANDAR M. , ZORIN KIRILL A. ,   Astrakhan State University, KUZNETSOVA VALENTINA YU. ,   Astrakhan State University
Published: July 2021

The article is devoted to the development of software for semantic text analysis. Describes the General logic of the developed web application, which implements the classification of textual information by previously predefined semantic categories. This article provides usage and deployment diagrams, as well as a General diagram of the algorithm. The methods implemented in the app allow you to increase the speed of processing text information. The use of the developed software product allows you to quickly process text information of any content, as well as conduct a deeper semantic analysis of the text. The implemented method is relevant in many areas of activity where you have to work with text information: monitoring of emotional mood towards the company, marketing, social network analysis.
DEVELOPMENT OF THE MODULE FOR DATA MANAGEMENT ON OBJECTS FOR ONLINE MAP OF A CITY
Authors:   Volgograd State Technical University, BUROVA ALENA A. , BUROV SERGEY S. ,   Volgograd State Technical University, PARYGIN DANILA S. ,   Volgograd State Technical University, FINOGEEV ANTON A. ,   Penza State University, RENT VYACHESLAV E. ,   Volgograd State Technical University
Published: July 2021

The solution of a wide range of tasks aimed at ensuring the sustainable functioning of urban infrastructure requires a comprehensive forecast of the development of the situation. The operation of distributed technical systems in an urbanized area is directly related to multiple subject - object interactions, since system components are most often located close to the almost continuous activity of people related to their maintenance, or just engaged in their daily routine. Therefore, the construction of urban processes models requires an extensive information base about the area infrastructure objects. First of all, this is associated with the aggregation and unification of data from disparate sources, and further verification, addition and updating of the original data is required. The paper describes the stages of development of a data management software module that parses data from a file with OSM XML format, transforms them into the necessary structure for working within a single spatial modeling platform Live.UrbanBasis.com and makes procedural generation of missing data. The approach to additional data generation of infrastructure objects is demonstrated using the example of entrances, floors, and apartments. The paper reveals the approaches and technologies used to work with the data of the OpenStreetMap web mapping project.
An Update on the Synthesis and Applications of Bis(Naphthoquinones): An Important Class of Molecules against Infectious Diseases and other Conditions
Authors: da S.M. Forezi Luana , de Souza Acácio S. , Lima Carolina G.S. , Borges Amanda A. , Ferreira Patricia G. , Barros Marcela C.P. , Futuro Debora O. , de C. da Silva Fernando , Ferreira Vitor F.
Published: July 2021

Naphthoquinones are important molecules belonging to the general class of quinones, and
many of these compounds have become drugs that are in the pharmaceutical market for the treatment
of several diseases. A special subclass of compounds is that of the bis(naphthoquinones), which have
two linked naphthoquinone units. In the last few years, several synthetic approaches toward such
valuable compounds have been described, as well as their evaluation against numerous important
biological targets. In this review, we provide a thorough discussion on the various synthetic methods
reported for the synthesis of bis(naphthoquinone) analogues, also highlighting the biological activities
of these substances.
DRESS Syndrome Associated with Liposomal Amphotericin-B in a Kidney
Transplant Patient: A Case Report
Authors: Charfi Ons , Hammamia Syrine Ben , Aouinti Imen , Kaabi Widd , Kastalli Sarrah , Daghfous Riadh , El Aidli Sihem , Lakhoua Ghozlane , Zaiem Ahmed
Published: July 2021

Introduction: Liposomal amphotericin B is a widely used broad-spectrum antifungal
drug. It was developed to reduce nephrotoxicity and maximize the therapeutic utility of amphotericin
B in the treatment of invasive fungal infections. Drug Rash with Eosinophilia and Systemic
Symptoms (DRESS) syndrome is a severe drug-induced hypersensitivity syndrome commonly associated
with aromatic antiepileptic drugs. Liposomal amphotericin-B was associated with DRESS
syndrome in only one case.

Case Report: We report an exceptional case of possible DRESS syndrome associated with liposomal
amphotericin B in a 31-year-old male renal transplant recipient. Seventeen days after starting
liposomal amphotericin B for visceral leishmaniosis, he developed a skin rash with elevated liver
tests. Liposomal amphotericin B was then discontinued. A favourable outcome was slowly observed
in one month.

Results and Conclusion: This case scored two (possible case) based on the criteria adopted by the
European group RegiSCAR. The Naranjo score for liposomal amphotericin B was four (possible).
Gold Nanorods are Selective Cytotoxic Agents
Authors: El Gendy Mohamed , Weinfeld Michael , Abdoon Ahmed
Published: July 2021

Background:

Gold nanorods (GNRs) are very promising agents with multiple applications in medicine and
biology. However, the cytotoxic effects of GNRs have not been fully explored.

Objective:

Therefore, the main objective of this study was to determine the selective cytotoxic effect of GNRs towards
several human tumor cell lines.

Methods:

To address this issue, three sizes of GNRs (10-nm, 25-nm, and 50-nm) were tested against two human tumor
cell lines, namely, human hepatoma HepG2 and human prostate PC3 cancer cells. As GNRs are usually stored in soft
tissues inside living bodies, we also tested the effect of GNRs on murine splenocyte viability. To determine if the
GNRs displayed selective cytotoxicity towards cancer cells, active GNRs with the size showing the least cytotoxicity
to splenocytes were then tested against a panel of 11 human tumor cell lines and two human non-tumor cell lines.

Results:

Our results showed that the most cytotoxic size of GNRs is 10-nm, followed by the 25-nm GNRs, while the
50-nm GNRs did not show a significant effect. In addition, the 25-nm GNRs were the least cytotoxic to splenocytes
when tested for 24 and 48 h. These GNRs showed a selective cytotoxic effect to prostate cancer PC3 cells with median
inhibitory concentration (IC50) = 8.3 + 0.37 μM, myeloblastic leukemia HL60 cells (IC50 = 19.7 + 0.89 μM), cervical
cancer HeLa cells (IC50 = 24.6 + 0.37 μM), renal adenocarcinoma 786.0 cells (IC50 = 27.34 + 0.6 μM), and hepatoma
HepG2 cells (IC50 = 27.79 + 0.03 μM) when compared to the effect on the non-tumor human cells; skin fibroblast BJ
cell line (IC50 = 40.13 + 0.7 μM) or epithelial breast MCF10A cells (IC50 = 33.2 + 0.89 μM). High selectivity indices
(SIs) were observed in GNRs-treated PC3 and HL60 cells with values ranging from 1.69 to 4.83, whereas moderate SIs
were observed in GNRs-treated HeLa, 786.0, and HepG2 cells with values ranging from 1.19 to 1.63. Other cells did
not show a similar selective effect, including human laryngeal HEp2 cells, colon HCT116, metastatic renal adenocarcinoma
ACHN cells, and human breast cancer cells (MCF7, MDA-MB-231, and MDA-MB-468 cells). The effect of
GNRs was confirmed using the colony formation assay and the effect was found to be cell cycle-specific. Finally, it
was shown that laser treatment could potentiate the cytotoxic effect of the 25-nm GNRs.

Conclusion:

GNRs are selective cytotoxic agents and they have the potential to act as candidate anticancer agents.
Fractional weighted ZF equalizer: A novel approach for channel equalization in MIMO-OFDM system under impulse noise environment
Authors: Girija S. P. , Rao Rameshwar
Published: July 2021

Impulse noise is the major factor degrading the performance of the wireless system, imposing the need for the impulse noise mitigation strategy. Mainly, in the multiple-input multiple-output (MIMO) and orthogonal frequency-division multiplexing (OFDM) system contaminated with the impulse noise creates a major impact in the performance as the conventional zero-forcing (ZF) equalizer as there is no satisfactory results. Thus, the paper concentrates on the impulse noise mitigation strategy based on the fractional weighed zero-forcing (FWZF) equalizer, which is the integration of the fractional concept in the Zero-Forcing equalizer. The noise impacts in the MIMO-OFDM system are minimized and the performance is enhanced due to the usage of the fractional theory in the ZF equalizer as the equalization values of the previous instances are interpreted for the formulation of the effective equalization value in the current instance of the ZF equalizer. The performance of the methods is done based on the valuation metrics, Bit Error Rate (BER), Mean Square Error (MSE), and Symbol Error Rate (SER) with respect to the Signal-to-Noise Ratio (SNR) and dissimilar antenna array size. It is found that the proposed Fractional Weighed Zero-Forcing equalizer outperformed the existing methods with a minimal BER and SER of 0.063, and 0.1038 while analyzing the methods in the Rayleigh environment.
A review on smartphone usage data for user identification and user profiling
Authors: Auliya Syafira , Nugroho Lukito Edi , Setiawan Noor Akhmad
Published: July 2021

The amount of retrievable smartphone data is escalating; while some apps on the smartphone are evidently exploiting and leaking users’ data. These phenomena potentially violate privacy and personal data protection laws as various studies have showed that technologies such as artificial intelligence could transform smartphone data into personal data by generating user identification and user profiling. User identification identifies specific users among the data based upon the users’ characteristics and users profiling generates users’ traits (e.g. age and personality) by exploring how data is correlated with personal information. Nevertheless, the comprehensive review papers discussing both of the topics are limited. This paper thus aims to provide a comprehensive review of user identification and user profiling using smartphone data. Compared to the existing review papers, this paper has a broader lens by reviewing the general applications of smartphone data before focusing on smartphone usage data. This paper also discusses some possible data sources that can be used in this research topic.
Use of Automated Thematic Annotations for Small Data Sets in a Psychotherapeutic Context: Systematic Review of Machine Learning Algorithms
Authors: Hudon Alexandre , Beaudoin Mélissa , Phraxayavong Kingsada , Dellazizzo Laura , Potvin Stéphane , Dumais Alexandre
Published: July 2021

Background

A growing body of literature has detailed the use of qualitative analyses to measure the therapeutic processes and intrinsic effectiveness of psychotherapies, which yield small databases. Nonetheless, these approaches have several limitations and machine learning algorithms are needed.

Objective

The objective of this study is to conduct a systematic review of the use of machine learning for automated text classification for small data sets in the fields of psychiatry, psychology, and social sciences. This review will identify available algorithms and assess if automated classification of textual entities is comparable to the classification done by human evaluators.

Methods

A systematic search was performed in the electronic databases of Medline, Web of Science, PsycNet (PsycINFO), and Google Scholar from their inception dates to 2021. The fields of psychiatry, psychology, and social sciences were selected as they include a vast array of textual entities in the domain of mental health that can be reviewed. Additional records identified through cross-referencing were used to find other studies.

Results

This literature search identified 5442 articles that were eligible for our study after the removal of duplicates. Following abstract screening, 114 full articles were assessed in their entirety, of which 107 were excluded. The remaining 7 studies were analyzed. Classification algorithms such as naive Bayes, decision tree, and support vector machine classifiers were identified. Support vector machine is the most used algorithm and best performing as per the identified articles. Prediction classification scores for the identified algorithms ranged from 53%-91% for the classification of textual entities in 4-7 categories. In addition, 3 of the 7 studies reported an interjudge agreement statistic; these were consistent with agreement statistics for text classification done by human evaluators.

Conclusions

A systematic review of available machine learning algorithms for automated text classification for small data sets in several fields (psychiatry, psychology, and social sciences) was conducted. We compared automated classification with classification done by human evaluators. Our results show that it is possible to automatically classify textual entities of a transcript based solely on small databases. Future studies are nevertheless needed to assess whether such algorithms can be implemented in the context of psychotherapies.
Identifying Enablers of Participant Engagement in Clinical Trials of Consumer Health Technologies: Qualitative Study of Influenza Home Testing
Authors: Dharanikota Spurthy , LeRouge Cynthia M , Lyon Victoria , Durneva Polina , Thompson Matthew
Published: July 2021

Background

A rise in the recent trend of self-managing health using consumer health technologies highlights the importance of efficient and successful consumer health technology trials. Trials are particularly essential to support large-scale implementations of consumer health technologies, such as smartphone-supported home tests. However, trials are generally fraught with challenges, such as inadequate enrollment, lack of fidelity to interventions, and high dropout rates. Understanding the reasons underlying individuals’ participation in trials can inform the design and execution of future trials of smartphone-supported home tests.

Objective

This study aims to identify the enablers of potential participants’ trial engagement for clinical trials of smartphone-supported home tests. We use influenza home testing as our instantiation of a consumer health technology subject to trial to investigate the dispositional and situational enablers that influenced trial engagement.

Methods

We conducted semistructured interviews with 31 trial participants using purposive sampling to facilitate demographic diversity. The interviews included a discussion of participants’ personal characteristics and external factors that enabled their trial engagement with a smartphone-supported home test for influenza. We performed both deductive and inductive thematic analyses to analyze the interview transcripts and identify enabler themes.

Results

Our thematic analyses revealed a structure of dispositional and situational enablers that enhanced trial engagement. Situationally, clinical affiliation, personal advice, promotional recruitment strategies, financial incentives, and insurance status influenced trial engagement. In addition, digital health literacy, motivation to advance medical research, personal innovativeness, altruism, curiosity, positive attitude, and potential to minimize doctors’ visits were identified as the dispositional enablers for trial engagement in our study.

Conclusions

We organized the identified themes for dispositional and situational enablers of trial engagement with a smartphone-supported home test into a research framework that can guide future research as well as the trial design and execution of smartphone-supported home tests. We suggest several trial design and engagement strategies to enhance the financial and scientific viability of these trials that pave the way for advancements in patient care. Furthermore, our study also offers practical strategies to trial organizers to enhance participants’ enrollment and engagement in clinical trials of these home tests.
Moderation of the Stressor-Strain Process in Interns by Heart Rate Variability Measured With a Wearable and Smartphone App: Within-Subject Design Using Continuous Monitoring
Authors: de Vries Herman , Kamphuis Wim , Oldenhuis Hilbrand , van der Schans Cees , Sanderman Robbert
Published: July 2021

Background

The emergence of smartphones and wearable sensor technologies enables easy and unobtrusive monitoring of physiological and psychological data related to an individual’s resilience. Heart rate variability (HRV) is a promising biomarker for resilience based on between-subject population studies, but observational studies that apply a within-subject design and use wearable sensors in order to observe HRV in a naturalistic real-life context are needed.

Objective

This study aims to explore whether resting HRV and total sleep time (TST) are indicative and predictive of the within-day accumulation of the negative consequences of stress and mental exhaustion. The tested hypotheses are that demands are positively associated with stress and resting HRV buffers against this association, stress is positively associated with mental exhaustion and resting HRV buffers against this association, stress negatively impacts subsequent-night TST, and previous-evening mental exhaustion negatively impacts resting HRV, while previous-night TST buffers against this association.

Methods

In total, 26 interns used consumer-available wearables (Fitbit Charge 2 and Polar H7), a consumer-available smartphone app (Elite HRV), and an ecological momentary assessment smartphone app to collect resilience-related data on resting HRV, TST, and perceived demands, stress, and mental exhaustion on a daily basis for 15 weeks.

Results

Multiple linear regression analysis of within-subject standardized data collected on 2379 unique person-days showed that having a high resting HRV buffered against the positive association between demands and stress (hypothesis 1) and between stress and mental exhaustion (hypothesis 2). Stress did not affect TST (hypothesis 3). Finally, mental exhaustion negatively predicted resting HRV in the subsequent morning but TST did not buffer against this (hypothesis 4).

Conclusions

To our knowledge, this study provides first evidence that having a low within-subject resting HRV may be both indicative and predictive of the short-term accumulation of the negative effects of stress and mental exhaustion, potentially forming a negative feedback loop. If these findings can be replicated and expanded upon in future studies, they may contribute to the development of automated resilience interventions that monitor daily resting HRV and aim to provide users with an early warning signal when a negative feedback loop forms, to prevent the negative impact of stress on long-term health outcomes.
The Plebeian Algorithm: A Democratic Approach to Censorship and Moderation (Preprint)
Authors: Fedoruk Benjamin , Nelson Harrison , Frost Russell , Fucile Ladouceur Kai
Published: July 2021

BACKGROUND

The infodemic created by the COVID-19 pandemic has created several societal issues, including a rise in distrust between the public and health experts, and even a refusal of some to accept vaccination; some sources suggest that 1 in 4 Americans will refuse the vaccine. This social concern can be traced to the level of digitization today, particularly in the form of social media.

OBJECTIVE

The goal of the research is to determine an optimal social media algorithm, one which is able to reduce the number of cases of misinformation and which also ensures that certain individual freedoms (eg, the freedom of expression) are maintained. After performing the analysis described herein, an algorithm was abstracted. The discovery of a set of abstract aspects of an optimal social media algorithm was the purpose of the study.

METHODS

As social media was the most significant contributing factor to the spread of misinformation, the team decided to examine infodemiology across various text-based platforms (Twitter, 4chan, Reddit, Parler, Facebook, and YouTube). This was done by using sentiment analysis to compare general posts with key terms flagged as misinformation (all of which concern COVID-19) to determine their verity. In gathering the data sets, both application programming interfaces (installed using Python’s pip) and pre-existing data compiled by standard scientific third parties were used.

RESULTS

The sentiment can be described using bimodal distributions for each platform, with a positive and negative peak, as well as a skewness. It was found that in some cases, misinforming posts can have up to 92.5% more negative sentiment skew compared to accurate posts.

CONCLUSIONS

From this, the novel Plebeian Algorithm is proposed, which uses sentiment analysis and post popularity as metrics to flag a post as misinformation. This algorithm diverges from that of the status quo, as the Plebeian Algorithm uses a democratic process to detect and remove misinformation. A method was constructed in which content deemed as misinformation to be removed from the platform is determined by a randomly selected jury of anonymous users. This not only prevents these types of infodemics but also guarantees a more democratic way of using social media that is beneficial for repairing social trust and encouraging the public’s evidence-informed decision-making.
Yield and Extraction Rate Analysis of Phytochemical Compounds from Eucheuma cottonii, Ganoderma lucidum, and Gracilaria sp. using Subcritical Water Extraction
Authors: Kristanto Fesa Putra , Machmudah Siti , Winardi Sugeng , Wahyudiono Wahyudiono , Goto Motonobu
Published: July 2021

Eucheuma cottonii (E. cottonii), Ganoderma lucidum (G. lucidum), and Gracilaria sp. are plants that contain high phytochemicals, such as flavonoids, polyphenols, saponins, and tannins. In this work, the phytochemicals were obtained using the subcritical water extraction (SWE) process. The SWE method uses water as a solvent in subcritical conditions. Therefore, the SWE process is an environmentally friendly process for extraction. In order to run the SWE process optimally, measurement of the extraction rate of SWE is needed. Calculation of the extraction rate of SWE process used first and second-order models according to Lagergren equation. SWE process was started by setting temperatures from 140 to 180oC at a pressure of 7 MPa and solvent flow rate of 1 ml/min. Before starting the extraction, the raw material was loaded into the extractor. The raw materials used were E. cottonii, G. lucidum, and Gracilaria sp. The extraction process was carried out for 3 hours, and the product was collected every 30 minutes. The collected product was put into a sample bottle and dried using a freeze dryer. After that, the products obtained were balanced by an analytical scale. Based on the result, the optimum temperature for the SWE process was 180oC for E. cottonii and G. lucidum and 160oC for Gracilaria sp. The yields of the SWE process under the optimum temperature were 85.37%, 58.42%, and 75.73% for E. cottonii, G. lucidum, and Gracilaria sp, respectively. The extract contained phytochemical compounds detected by high-performance liquid chromatography analysis. The kinetics model of extraction rate for all variables exhibited a second-order kinetics model that indicated that the extraction process was influenced by more than one factor.
Generalized Pitzer Correlation for Density Calculations of Ionic Liquids
Authors: Nuqui Jesus Patrick , Damalerio Regina , Meas Sychheng , Yem Socheata , Soriano Allan
Published: July 2021

The density of ionic liquids is an important design parameter for its utilization as a chemical process solvent. In this study, a generalized Pitzer-type correlation for calculating the density of ionic liquids with the use of reduced temperature (TR), reduced pressure (PR), and acentric factor (ω) as parameters is proposed. Experimental density data were obtained from several references through the IUPAC Ionic Liquids Database. Expansion of the terms as well as integrating the ionic liquid molecular weight was attempted to determine the accuracy improvement of the model in predicting densities at 0.1 MPa. Then, the obtained model was modified by further truncation to include the pressure effects for densities at higher pressures. MATLAB software was used to determine the optimal virial coefficients for the proposed correlations. The percent average absolute deviation (%AAD) was applied to calculate the variation between the experimental and calculated density values. It was concluded that the eight (8) coefficient correlation equation with molecular weight for densities at 0.1 MPa had a %AAD of 4.7537%. Upon modifying the correlation to include pressure effects, the resulting modified equation had an overall %AAD of 4.7174%.
СКАТТЕРОМЕТРИЯ И ПЕРСПЕКТИВНЫЕ ПОЛУПРОВОДНИКОВЫЕ ТЕХНОЛОГИИ
Authors: Макушин М.
Published: July 2021

Оптическая метрология критических размеров на основе скаттерометрии (OCD-скаттерометрия) – один из перспективных подходов поддержания рентабельности производства и необходимого уровня выхода годных.
Deduciendo las relaciones entre las unidades de concentración en disoluciones líquidas
Authors: García García José Luís
Published: July 2021

Las conversiones entre unidades de concentración son un problema, tanto a nivel educativo como al nivel profesional, pues se emplean tradicionalmente técnicas numéricas, que son complejas, y pueden causar problemas incluso para individuos con entrenamiento. En este artículo planteamos una propuesta algebraica para deducir todas las conversiones de las unidades de concentración más comunes: masa porcentual, volumen porcentual, concentración en masa porcentual, concentración en masa, concentración molar, concentración molal y fracción molar. Aunque teóricamente esto implicaría la expresión de 72 ecuaciones sin contar las definiciones de cada una de estas unidades, al aplicar dos propiedades de las funciones “imagen inversa y Función compuesta” es posible reducir el número de deducciones a 8, donde solo 2, las que involucran la concentración molar y la fracción molar revisten cierto grado de complejidad algebraica, que aun así pueden resolverse con técnicas básicas que no exceden la aplicación del “factor común”. La aplicación de estas ecuaciones a problemas numéricos, permite un análisis dimensional completo de situaciones que en algunas fuentes no tienen sentido dimensional, aunque numéricamente sean correctas.
Introducción a la nanotecnología mediada por videojuegos: una propuesta teórica
Authors: Garate Octavio Federico , Veiga Lionel Sebastian
Published: July 2021

Debido a la naturaleza de su construcción, la nanotecnología se presenta como una rama de la ciencia que exige la comprensión de conceptos iniciales a intermedios de múltiples disciplinas como la química, la física y la biología. Si bien esta rama de la ciencia interdisciplinaria se aborda generalmente en el nivel universitario con la ayuda de simulaciones y prácticas de laboratorio, se necesita un enfoque pedagógico totalmente diferente al explicar su marco teórico a un público más amplio y joven. En ese sentido, desde una perspectiva teórica, los videojuegos correspondientes al género Souls-like pueden actuar como una puerta de entrada y un medio de representación de conceptos con diversos grados de dinamismo para introducir nociones básicas de la nanotecnología como: consideraciones de escala, propiedades ópticas/superficiales dependientes del tamaño y su campo de aplicación. Al abordar la nanotecnología con un enfoque interdisciplinario, los aspectos adecuados presentes en el diseño de este tipo de videojuegos permitieron la construcción de analogías conceptuales enriquecedoras, ilustrando el marco conceptual de la nanotecnología desde un enfoque macroscópico e intuitivo.
El concepto de pureza: una revisión desde la naturaleza de las ciencias
Authors: Segura Delgado Paula Andrea , Mosquera Suárez Carlos Javier
Published: July 2021

La naturaleza de las ciencias entendida como contenidos metacientíficos y como área de investigación didáctica (Díaz, Ariza y Adúriz – Bravo, 2016) constituye para el campo de conocimiento de la didáctica de las ciencias experimentales un valor agregado relevante para problematizar y comprender nuevas finalidades de la educación a través de las ciencias (Chamizo y Pérez, 2017). Estos contenidos metacientíficos se componen de tres metateorías que progresivamente se han consolidado como indispensables para abordar el estudio de las ciencias, entendidas no como productos sino como procesos propios que a lo largo de la historia de la humanidad ha ganado el prestigio social para que las diversas disciplinas pasen de ser enseñadas en diferentes niveles educativos y que se constituyan como profesión y como objeto de investigación en programas universitarios. En la didáctica de las ciencias, en su propósito de elaborar estrategias de enseñanza para favorecer la construcción de conocimiento científico escolar, se incorpora un metadiscurso coherente con la actividad científica y con su contextualización en ambientes educativos, favoreciendo una imagen de ciencia dinámica y humana (Izquierdo, García, Quintanilla y Adúriz-Bravo, 2016).

En sus investigaciones se ha resaltado la importancia que tiene, dentro del sistema de conocimientos profesionales del profesor de ciencias, la elaboración de conocimientos relevantes en historia de la química. En este contexto, se presenta un estudio del desarrollo de representaciones conceptuales sobre la idea de pureza en química, en tanto noción fundamental para comprender el desarrollo de los conceptos problemáticos de elemento, sustancia y átomo (Alzate – Cano, M.V, 2005).
Los mapas híbridos en la química escolar
Authors: Moreno Martínez Nehemías , Ramírez Escobedo Beatriz Raquel , Torres Moreno Rosangel De Guadalupe
Published: July 2021

Se propone al Mapa Híbrido como una técnica que permite describir de forma gráfica la actividad químico-matemática implicada en la resolución de problemas que se abordan en la clase de química. La construcción del Mapa Híbrido a partir de la producción de un sujeto, experto o novato, y su interpretación se apoya en una adaptación a la química escolar de algunos elementos teóricos del Enfoque Ontosemiótico de la Matemática Educativa. La interpretación del Mapa Híbrido permite advertir los objetos químicos, químico-matemáticos, sus conexiones y algunos procesos cognitivos implicados en la resolución de los problemas. Se presentan algunas sugerencias para implementar dichas representaciones en el aula.
CRISPR/Cas, el sistema premiado con el Premio Nobel de Química 2020 ¿Cómo funcionan las Tijeras Moleculares?
Authors: Palacios-Arreola Margarita Isabel , Huerta-Lavorie Raúl
Published: July 2021

Se presenta una hoja didáctica para apoyar a los profesores en la difusión del conocimiento de la tecnología alrededor del sistema CRISPR/Cas, conocido coloquialmente como Tijeras moleculares y su relevancia en la edición del genoma a estudiantes nivel medio, medio superior o universitario. Esto se realiza en un contexto que permite introducir y revisar conceptos, modelos y metodologías bioquímicas, así como de biología molecular, relacionados con la ingeniería genética. Asimismo, la historia del descubrimiento del sistema, el desarrollo de la tecnología para sus aplicaciones y el Premio Nobel al que fueron acreedoras dos de las investigadoras involucradas constituyen un contexto perfecto para fomentar la reflexión acerca del carácter colaborativo de la ciencia y la frontera entre la llamada ciencia básica y ciencia aplicada.
La mercantilización de la producción y de la difusión del conocimiento y sus efectos. Los universitarios como sujetos sujetados
Authors: Acevedo Fernando
Published: July 2021

Este ensayo ofrece una perspectiva teórica y política sobre la expansión de la educación superior en América Latina que difiere de la predominante en el mainstream académico actual. Con base en una investigación bibliográfica, el análisis enfatiza sus efectos más nocivos en el quehacer de los universitarios, principalmente los ocasionados por la creciente mercantilización de la producción y difusión del conocimiento que producen: sobrevaloración de la publicación de papers en revistas prestigiosas, devaluación de la utilidad social del conocimiento, prácticas corruptas, erosión de la credibilidad y de la calidad de la producción académica, competencia inescrupulosa, individualismo exacerbado, deterioro de las relaciones interpersonales.
A Detailed Study: CFD Analysis of NACA 0012 at Varying Angles of Attack
Authors: Sadadiwala Vani
Published: July 2021

This work reflects the study and detailed analysis of NACA 0012 airfoil at different angles of attack with a constant value of Reynolds Number. The geometrical designing of the airfoil is done using FreeCad and the computational analysis is carried out using Simflow 4.0- OpenFoam Interface. The analysis is fully based upon the concepts of FEM and CFD. The velocity is kept constant with various angles of attack. CFD methods are reliable source of analysis and hence can be replaced with the experimental wind tunnel methods. Boundary layer approaches were taken into consideration using the meshing techniques. The main purpose of this work is to study the symmetric profile of NACA 0012 with varying angles and the behaviour of 0012 at specific conditions. At the end, various graphs are plotted depicting the relationship of Angle of Attack with other dimensionless quantities.
Experimental Analysis on Use of Polypropylene in Concrete
Authors: Chavan Prof. Bhavana V.
Published: July 2021

Polypropylene may be a thermoplastic polymer utilized as a neighborhood of wide assortment of uses including bundling, materials (e.g., ropes, warm clothing and covers). Polymer cement may be a piece of gathering of cements that utilizes polymers to supplement bond as a canopy. Impregnated solid, polymer cement, and Polymer-Portland-bond concrete are the sorts incorporate polymers. To realize maximum strength of concrete by using optimum weight of polypropylene fibers is the aim of the study. Fiber ferroconcrete is employed during a sort of engineering applications due to its satisfactory and outstanding performance within the industry and construction field. Polypropylene fiber in concrete mix design is used for multiple purposes that include rigid pavement, self- compacting concrete and other applications. 40 cylinders of polypropylene concrete were casted and tested for 7 and 28 days’ strength for both compressive and split lastingness. It was concluded that the many improvement was observed in ultimate compressive strength after 7 and 28 days. The optimum percentage of Polypropylene fiber was obtained to be 5 percent of cement by volume. The addition of bit of polypropylene improved the mechanical properties of concrete.
Digit Recognition from EEG Signals on Smart Devices a Novel Approach
Authors: Jha Subodh Kumar
Published: July 2021

The Advancement of communication system has given us the freedom to think beyond traditional communication system and stage is set for thought oriented communication system. There are thousands of thoughts generated and vanished in a timeframe but out of these some prominent thoughts persist and we proceed with the same in our day to day activities. The advancement in Electroencephalogram has provided a chance to see the activity in the human brain in non-invasive manner. The proposed research work presents the method for Digit recognition using the EEG signals acquired and processed on smart devices. The results show the implementation of Computation neural network for the recognition of digits from EEG signals. It was seen that, the 90.64% correct classification was achieved.
Detection of Cyber Attack in Networks using Machine Learning Techniques
Authors: M Meghana
Published: July 2021

The use of recent innovations provides unimaginable blessings to individuals, organizations, and governments, be that because it might, messes some up against them. for example, the protection of serious information, security of place away data stages, accessibility of knowledge so forth. Digital concern, that created an excellent deal of problems individuals and institutions, has received A level that might undermine open and nation security by totally different gatherings, as an example, criminal association, good individuals and digital activists. the foremost common risk to a network’s security is an intrusion like brute force, denial of service or maybe an infiltration from inside a network. this can be wherever machine learning comes into play. Intrusion Detection Systems (IDS) has been created to take care of a strategic distance from digital assaults.
“A GENTE TEM QUE SOMAR”: FONTES DE CAPTAÇÃO FINANCEIRA DE ATLETAS DA SELEÇÃO BRASILEIRA DE JUDÔ
Authors: Reis Fabiana Della Giustina dos , Capraro André Mendes
Published: July 2021

O judô é um esporte em destaque no Brasil. Um dos motivos para isso é o suporte financeiro que o país oferta. Por conta disso, este trabalho objetivou descrever e analisar as formas de captação de recursos financeiros dos atletas de ponta do judô e detalhar a utilização do Programa Bolsa Atleta em suas carreiras. Foram entrevistados 17 atletas da seleção brasileira de judô. Geralmente, os atletas se beneficiam de quatro fontes de recursos financeiros ­— clube, patrocínios individuais, Programa de Atletas do Alto Rendimento (PAAR) e Programa Bolsa Atleta. Além disso, a Confederação Brasileira de Judô (CBJ) auxilia com outros recursos. Concluiu-se, então, que as principais fontes de financiamento dos atletas vêm do governo federal. É possível se manter financeiramente como atleta de alto rendimento, contudo, há um déficit no financiamento de judocas de base, falta de suporte para recuperação de lesões e para o pós-carreira do atleta.
INVESTIGATION OF STUDENTS' BEHAVIOR IN MATHEMATICAL PROBLEM SOLVING
Authors: Harisman Yulyanti , Noto Muchamad Subali , Hidayat Wahyu
Published: July 2021

This study is a qualitative research by using the descriptive method that aims to examine the behaviour of eighteen students in Bandung, Indonesia. Six issues related to geometry were given to eighteen of second-grade junior high school students with heterogeneous abilities. The problems given to the students contained all of the problem-solving strategies such as guessing and checking, make a picture, make a list, make a table, working backwards, looking patterns, and using a logical reason, solving simple problems and making questions. Data collection was conducted through mathematical problem-solving tests, recording students’ presentations, and interviewing among researchers and students after doing the problems. The result of recording was a video during the presentation process, and the interview would explore their understanding of the given problems to see the behaviour used by subjects of the research. The data in this research showed that many students’ behaviour identified; in the relevant literature, there are terms of the behaviour of problem-solving naive, routine, and sophisticated. However, the category "naïve," "routine," and "sophisticated" did not fully draw various behaviours observed, it was obtained additional category termed behavioural problem solver "naïve," "routine," "semi-sophisticated" and "sophisticated". It was due to the category of regular students can be divided into two, some students can be directed, and some of them cannot be directed to sophisticated behaviour. Thus, the routine category can be classified into two categories: routine and semi-sophisticated.
Financial Literacy in the Digital Age
Authors: Răzvan Ionescu
Published: July 2021

The present article made a theoretical and empirical analysis in to assess the level of financial literacy and digital financial literacy in the European Union, with emphasis on the potential discrepancies that might exist between different countries within the EU, as well as to investigate general attitudes towards novel FinTech solutions, crypto currencies and digital money. desk research was used to analyze data regarding financial literacy, digital literacy, financial behavior, digital technology adoption, the use of Internet Banking solutions and knowledge and attitudes towards crypto currencies in the European union. Data was collected via the Internet from various sources: Eurostat, OECD, ING.
The effect of behavioral biases on financial decisions
Authors: Peón David , Antelo Manel
Published: July 2021

Financial management decisions are made by people, and people, in all instances, are shaped by their behavioral traits. Here we provide extensive insight on the theoretical and empirical analysis made on cognitive biases and their influence on financial decisions. To provide a systematic exposition, we set three broad categories: heuristics and biases, choices (including framing and preferences) and social factors. We then describe the main biases within each category and provide an extensive revision of the main theoretical and empirical developments about their impact on financial decisions.
Valoración financiera de una empresa de movilidad urbana sostenible en España
Authors: Puime-Guillén Félix , Fernández-González Raquel , Pérez-Vas Raisa , Panait Mireia , Castro Varela Alejandro
Published: July 2021

La movilidad urbana es uno de los factores más importantes, no solo para la correcta planificación de las ciudades, sino también para la gestión sostenible del transporte doméstico. Se han puesto en marcha numerosas iniciativas para mejorar los niveles de congestión y contaminación urbana. En España se ha implantado un sistema de patinetas eléctricas de uso compartido, a través de una app móvil. En 2020, dados sus exitosos resultados, esta iniciativa se ha extendido hasta en 11 grandes ciudades españolas. El objetivo de este artículo es aplicar diferentes modelos de valoración de proyectos de inversión a una empresa de alquiler de motocicletas eléctricas urbanas, con el fin de evaluar cuál de estos modelos presenta el mejor escenario económico y financiero para la empresa. Palabras clave: movilidad urbana, valor actual neto, opciones reales, España