bluuebunny/crossref_metadata_2025 huggingface dataset:
ORIENTAÇÃO À RESPONSABILIDADE SOCIAL CORPORATIVA: UM ESTUDO SOBRE FATORES INFLUENCIADORES
Authors: Pereira Pedro Henrique da Silva Melo , Dos Santos Edicreia Andrade , Sallaberry Jonatas Dutra , Monteiro Januario José
Published: November 2022

O estudo visa compreender quais os fatores determinantes que influenciam a orientação dos alunos de ensino superior da área de negócios em relação à RSC. Uma survey foi aplicada com 340 alunos. Analisados por meio de equações estruturais e teste de análise de variância, os resultados indicaram que os valores pessoais afetam as dimensões de orientação da RSC. De maneira específica constatou-se que o gênero feminino é mais propenso à orientação de RSC filantrópica. Já os outros fatores não apresentaram significância estatística para inferir comportamentos distintos entre grupos, sejam da orientação política, religião ou prática de voluntariado.
LA DESIGUALDAD EN LOS TIEMPOS DE CRISIS. EL CASO SUDAMERICANO
Authors: Herrero Olarte Susana
Published: November 2022

Ante la necesidad de abordar la desigualdad en Sudamérica también durante los periodos de decrecimiento, estudiamos cómo le afecta el ciclo económico durante las crisis. En base a la literatura relacionada, la hipótesis es que en periodos de decrecimiento, el ciclo económico aumenta la desigualdad aunque de manera marginal. Los resultados invitan a rechazar en parte la hipótesis. En épocas de crisis, el ciclo económico se relaciona positivamente aunque de manera marginal con la desigualdad. Las variables coyunturales, como es el caso del ciclo económico, tendrían un menor peso en el comportamiento de la desigualdad, actuando de manera positiva o negativa en función del contexto.
RESPONSABILIDAD SOCIAL CORPORATIVA Y CONSUMIDORES DEL SECTOR RETAIL EN CHILE
Authors: Severino-González Pedro Elías , Villalobos-Antunez José Vicente , Matamala-Panes Jaime , Parada-Oyarce Camila
Published: November 2022

La responsabilidad social corporativa permite gestionar estrategias que buscan satisfacer las necesidades de los stakeholders. El propósito de este artículo es analizar las percepciones de las expectativas de los consumidores del retail sobre la responsabilidad social empresarial. Para lo cual, se ha utilizado una encuesta de autosuministración, dando paso al análisis factorial exploratorio y la exploración de diferencias de medias. Los resultados muestran una elevada valoración en la dimensión económica. Se presentan diferencias significativas en género, nivel de urbanización y grado de escolaridad, tomando un énfasis particular la dimensión filantrópica.
MOTIVATORS FOR THE USE OF VEHICLE SHARING SERVICES ON DEMAND IN BRAZIL
Authors: Violin Fábio Luciano
Published: November 2022

The study focused on determining the motivators for the use of means of transport on demand in Brazil. The methodological procedures involved the Exploratory Factor Analysis to validate the variables and the Confirmatory Factor Analysis established the adjusted model and the dimensions in which these elements appeared in the users' perception. It can be observed that the motivators were relevant, however, only three variables of a utilitarian nature are strongly linked to the consumption process, indicating the cost, the moment of use and the technological facilitator as indicators of the use of this type of service in Brazil.
Prediction on Type-2 Diabetes Mellitus Using Machine Learning Methods
Authors: Soumya K N  , Vigneshwaran P
Published: November 2022

Diabetes has become one of the most fatal diseases as a result of lifestyle changes, food habits, and decreased physical exercise. Diabetes is believed to afflict 422 million people globally, according to the latest WHO estimates. Having said that, the Type II category of diabetes is more fatal because it is determined by the body’s insulin resistance. Furthermore, Type II diabetes has been linked to complications with the kidneys, eyes, and heart. A big number of scientists are also looking into the possibility of a link between diabetes and cancer. We present an overview of such discoveries as well as our cancer research efforts in this report. Dimensionality reduction, Classification, and Clustering are applied in the proposed work to compare with the existing classifiers. PIMA Indian diabetes datasets and Stanford AIM-94 dataset is considered as the benchmark dataset for performing experimentation.
Comparative Analysis of Predicting the Diabetic Disease Using Machine Learning Techniques
Authors: Revathy J , Selvanayagi D
Published: November 2022

Machine Learning is concerned with the making of calculations and methods that use PCs to learn and acquire insight, using the related knowledge available.This work is focused on machine learning approaches for predicting diabetic disorders, using datasets from Predict the Diabetic Diseases. A web-based comparative analysis of multiple machine learning algorithms (Decision Tree, Support Vector Machine, K-Nearest Neighbor, and Logistic Regression) is utilized in this paper, to assess their performances in recognizing reliable models for detecting diabetic disease. To see the effects of adding more features to the classification model, three performance measures were chosen: F1-Measure, Precision, and Accuracy.
Decision Tree Over Support Vector Machine for Better Accuracy in Identifying the Problem Based on the Iris Flower
Authors: Poojitha M.R.S. , Malathi K.
Published: November 2022

The iris dataset will be classified using the support vector machine and decision tree algorithms. flower dataset identifies the pattern and classifies it. The dataset has 150 rows and 5 attributes, which contains 50 samples from each species. There are three species in this dataset. Iris flower classification can be performed using support vector machines and decision tree algorithms. SVM stands for Support Vector Machine, and is a supervised machine learning technique that can be used for classification and regression. The Decision Tree algorithm is a simple approach mainly used for classification and prediction. The sample size has been determined to be 20 for both the groups using G Power 80%. The Support Vector Machine algorithm provides a mean accuracy of 98.09% when compared to the Decision Tree algorithm, with a mean accuracy of 95.55%. A statistically insignificant difference was observed between the Decision Tree and the Support Vector Machine, p = 0.92 (> 0.05) based on 2-tailed analysis. In the classification of Iris flowers, the Support Vector Machine outperformed the Decision Tree Algorithm.
An Improved Log Loss Stock Market Prediction Using Novel Long Short Term Memory Algorithm in Comparison with Support Vector Machine Algorithm
Authors: Venkata Sairam P. , Logu K.
Published: November 2022

This work provides a comparative study of improved log loss stock market values using a novel long short term memory algorithm (LSTM) and support vector machine algorithm (SVM). Novel Long Short Term Memory (N = 10) and support vector machine (SVM) (N = 10) where iterated to improve log loss stock market predicted values in stock price prediction.Simulation was done by varying NLSTM and support vector machine parameters to optimize the pH. Sample size is calculated using Gpower for two groups and 20 samples were used in total for this work.LSTM has notably better accuracy percentage (68.11) compared to SVM accuracy (52.46). Statistical significance difference between long and short term memory and support vector machine algorithm was found to be 0.023 (p<0.05).Long short term memory algorithm provides better results in log loss stock market values than support vector machines.
The Functional and Storage Risks Associated to the Size Estimation of Parallel Computing Applications
Authors: Mesia Dhas John T , Midhunchakravarthy
Published: November 2022

The software size estimation is the basic and essential process in the Software Development Life Cycle (SDLC) for budgeting, developing and delivering in the scheduled manner. The modern computer software like Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT) and Data Analytics are highly dynamic, distributed and parallel processing. To identify the size of this versatile environment is highly difficult and risk based. A small fault may cause negative consequences and also suspension of the project. This article gives a study on the functional, social, economic, political, organizational and nonfunctional risks associated to the parallel computing applications.
Design and Implementation of Sales Prediction Model Using Decision Tree Regressor over Linear Regression Towards Increase in Accuracy of Prediction
Authors: Ravi Teja Reddy S. , Malathi P.
Published: November 2022

The purpose is to predict future price of product and assists companies to make business strategic plans to increase overall sales and also an experiment is performed to find the best suitable algorithm among Linear Regression and Novel Decision tree regressor. Predicting future price of a product using linear regression algorithm (N=10) and Novel Decision tree regressor (N=10). Dataset used is Bigmart Sales data from kaggle. The sample size is 542 for each group. Novel Decision tree regressor produces a better accuracy of 97.5% and for Linear regression classifier is 87.6%with a statistical significance value of p is 0.03 (p<0.05). The results proved that the Novel Decision tree regressor is significantly better for sales forecasting than linear regression algorithm within the study’s limits.
Integrated Patent Landscape Analysis Based on Semiconductor Infringement Landmark Cases
Authors: Chien C.H. , Tu Kevin L.K. , Lin H.J. , Trappey A.J.C.
Published: November 2022

This research conducts integrated patent landscape analyses based on the landmark cases of patent infringement disputes between VLSI Technology and Intel. Complex multidisciplinary semiconductor knowledge ontology and taxonomy are derived from the landmark cases. Since Intellectual property (IP) and patent legal right protections defensively and offensively are critically important to high-tech companies for remaining globally competitive, the analysis of the patent portfolio consisting of the multiple technology innovations is the major challenge of this research. First, the patent search based on keywords of the patents under dispute. Afterward, the patenting trends of top assignees in the semiconductor industry, ranked in top International Patent Classification (IPC) codes, are analyzed. Further, this research performs topic clustering, a form of non-supervised learning, to divide all domain patents into unique topic groups. The ontology schema, based on the topic clustering results, builds the critical domain knowledge map, which can be used to highlight transdisciplinary technologies and their IPs. The research ensures newly granted patents, which focus on the disputed technical topics with literally or equally similar claims, must be cautious about the rist of potential infringement disputes. In the future, this transdisciplinary approach can be applied to various industries for IP protection.
Digital Tools for Supporting Production Preparation: Reflections Related to Designing Human-Robot Collaboration Layouts
Authors: Johansen Kerstin , Grahn Sten
Published: November 2022

Accelerating technological developments and increasing competition make it important to secure the development of production solutions that allows for resource efficient layouts and continuous improvements. When developing production solutions, the usage of digital tools is an important asset that supports production preparation engineers in their work. However, the emerging possibilities to design production layouts where the operator and a robot collaboratively share a task, add more challenges for production preparation engineers. The production layout become more complex, with more parameters to analyze for a safe and secure working environment, supporting a safe interaction between technologies and operators. The design of human-robot-collaborative (HRC) layouts, with ever shorter product life cycles, could benefit from an increased use of digital tools, as ever more powerful simulation and design tools are available on the market. This paper will explore digital tools (such as simulation, emulation, visualization) and their potential contribution for different HRC layout designing steps. Based on this, the needs to be reflected in a guideline for a digitalized production preparation process will be explored from the perspective of developing a human-robot collaborative layout..
Conceptual Approach for a Digital Twin of Medical Devices
Authors: Riascos Roberto , Ostrosi Egon , Sagot Jean-Claude , Stjepandić Josip
Published: November 2022

Over the last few years, a concept called Digital Twin has emerged continuously as a comprehensive approach in industrial domains. The concept comprises a description of strong coherence between physical products, processes, or services “as delivered” and their virtual surrogates. Internet-of-Things technology has drastically lowered the costs of Digital Twin Computing. It builds the foundation for connected products and services. Three main characteristics of Digital Twin have been identified: representation of a physical system, bidirectional data exchange, and connectiveness along the entire lifecycle. We have explored this concept in non-technical disciplines and have found several similar approaches for interaction between the real world and its digital surrogates: Digital Twins in medicine. Digital twin technology has the potential to transform healthcare in a variety of ways improving the diagnosis and treatment of patients, streamlining preventive care and facilitating new approaches for hospital planning.
Adapting Concept of Operations Analysis for Digital Transformation
Authors: Cardoso Joana L. , Rebentisch Eric , Rhodes Donna H. , Soares António
Published: November 2022

The topic of digital transformation has become increasingly prevalent in recent decades. Its importance is justified by the fact that not only can it change the way companies operate, but also bring to light new business strategies. Indeed, companies have ramped up operational data collection opportunities and adopted digital practices to facilitate new flows of design information, allow teams to interoperate in different ways, or improve system performance. Given that a digital transformation occurs under certain sociotechnical contexts and with specific purposes, their success can critically depend on the ability to unambiguously describe this context and the intended transformation in the form of new operational scenarios. One of the challenges faced when attempting a digital transformation is that these efforts can be ad-hoc and poorly structured, which does not tie the transformation to strategic objectives and operational strengths and limitations. This paper aims at addressing this issue by leveraging an existing systems engineering analysis method called Concept of Operations to provide structure to the digital transformation process. Our work shows that this method has the potential to accelerate the sociotechnical system redesign cycle and generate actionable decisions aligned with strategic goals and operational strengths and limitations.
UX Evaluation of a Tractor Cabin Digital Twin Using Mixed Reality
Authors: Cavallaro Sara , Prati Elisa , Grandi Fabio , Mangia Giancarlo , Pellicciari Marcello , Peruzzini Margherita
Published: November 2022

Understanding user experience (UX) is essential to design engaging and attractive products, so nowadays has emerged an increasingly interest in user-centred design approach; in this perspective, digital technologies such as Virtual Reality (VR) and Mixed Reality (MR) could help designers and engineers to create a digital prototype through which the user feedback can be considered during the product design stage. This research aims at creating an interactive Digital Twin (DT) using MR to enable a tractor driving simulation and involve real users to carry out an early UX evaluation, with the scope to validate the design of the control dashboard through a transdisciplinary approach. MR combines virtual simulation with real physical hardware devices which the user can interact with and have control through both visual and tactile feedback. The result is a MR simulator that combines virtual contents and physical controls, capable of reproducing a plowing activity close to reality. The principles of UX design was applied to this research for a continuous and dynamic UX evaluation during the project development.
Digital Technologies to Redesign Automatic Machines with a Human-Centric Approach: Application in Industry
Authors: Grandi Fabio , Peruzzini Margherita , Khamaisi Riccardo Karim , Lettori Jacopo , Pellicciari Marcello
Published: November 2022

Human factors integration is definitely a transdisciplinary and urgent matter in modern factories. Despite the great surge in factory automation in recent years, human-machine interaction is still a crucial aspect and companies need to take care of the workers’ wellbeing and performance to enhance the overall system quality and productivity. Nevertheless, ergonomics is poorly considered during the design of complex industrial systems, such as automatic machinery, especially for the lack of practical methodologies and guidelines to promote human factors from the early stages of design or redesign. To overcome this issue, this work proposes a transdisciplinary approach to redesign automatic machinery in compliance with factory ergonomics, using a combination of digital technologies (e.g., digital human simulation, human physiological data monitoring). The paper defines a structure method and related tools to apply a human-centric approach to industrial cases and their validation of a real case, concerning the redesign of a packaging automatic machine. Results show how the proposed approach is useful to detect possible ergonomic issues at the shop floor, identifying in advance risky situations for the operators during operating or maintenance tasks, and leading to an optimized machine able to enhance the workers’ wellbeing and factory productivity at the same time.
A Study on the More Effective Delivery System Combined with the Ethical Value of Customers
Authors: Hung Cheng-yu , Iijima Shingo , Tanaka Kenji , Sagawa Daishi
Published: November 2022

In recent years, with the expansion of the e-commerce market and the improvement of customer requirements and service levels, express operators have fallen into a shortage of truck drivers. The operator’s distribution channel optimization reaches its limit, and an e-commerce system assisted by customers is needed. Through SDGs and other goals, people pay more attention to social problems. Thus, customers are highly likely to cooperate. However, the indicators of e-commerce operators’ contribution to social issues have not been established yet. Operators have set different goals, and customers can not compare various operators. What impact will it bring to the logistics industry with the cooperation of consumers with high environmental awareness? Therefore, the purpose of this study is “logistics operators set common goals related to social issues, and consumers can also evaluate logistics operators” and “logistics operators propose customer cooperative e-commerce to achieve this goal and test its effectiveness.” As a method to achieve these purposes, “adopting the concept definition of ethical e-commerce and making evaluation indicators,” “establishing a system for calculating the latest excess load when new orders arrive,” and “inspired by China’s logistics, what SDGs goals can logistics operators achieve with the help of consumers” are introduced.
The New Engineering Education Transformation Program at Massachusetts Institute of Technology: The Evolving Design and Implementation of a Programmatic Evaluation Study
Authors: Lavi Rea , Bagiati Aikaterini
Published: November 2022

The New Engineering Education Transformation (NEET) program was launched in 2017 as a cross-departmental endeavor to reimagine undergraduate engineering education at Massachusetts Institute of Technology (MIT). NEET prepares students to tackle authentic 21st-century challenges by learning about new machines and systems, engaging in making and discovering activities, employing hands-on pedagogy, and cultivating the NEET Ways of Thinking. Students join the program for three years, from sophomore to senior year, in one of four threads: Autonomous Machines, Climate and Sustainability Systems, Digital Cities, or Living Machines. Once they complete the program, students receive a certificate of program completion. During Fall 2019, at the start of its third operational year, NEET leadership decided to initiate a comprehensive evaluation of the program. The authors conducted semesterial evaluations of the program from Spring 2020 till the present. Data for these evaluations were collected from program leadership, faculty, instructors, staff, and students, as well from institutional sources. We describe the evolving cycles of programmatic evaluation, including the design and implementation of these efforts, the suggestions made to program leadership, and the implementation and subsequent evaluation of those suggestions. We outline the challenges and opportunities which came up during evaluation. Finally, we provide recommendations for evaluators of similar programs.
Analysis of the Representation of Frequent Clinical Attributes in the Unified Medical Language System
Authors: Güngör Baris , Deppenwiese Noemi , Mang Jonathan M. , Toddenroth Dennis
Published: November 2022

Mapping clinical attributes from hospital information systems to standardized terminologies may allow their scientific reuse for multicenter studies. The Unified Medical Language System (UMLS) defines synonyms in different terminologies, which could be valuable for achieving semantic interoperability between different sites. Here we aim to explore the potential relevance of UMLS concepts and associated semantic relations for widely used clinical terminologies in a German university hospital. To semi-automatically examine a sample of the 200 most frequent codes from Erlangen University Hospital for three relevant terminologies, we implemented a script that queries their UMLS representation and associated mappings via a programming interface. We found that 94% of frequent diagnostic codes were available in UMLS, and that most of these codes could be mapped to other terminologies such as SNOMED CT. We observed that all examined laboratory codes were represented in UMLS, and that various translations to other languages were available for these concepts. The classification that is most widely used in German hospital for documenting clinical procedures was not originally represented in UMLS, but external mappings to SNOMED CT allowed identifying UMLS entries for 90.5% of frequent codes. Future research could extend this investigation to other code sets and terminologies, or study the potential utility of available mappings for specific applications.
The pandemic as a legal prerequisite for the introduction of some special legal regimes
Authors: Rastorhuieva N. O.
Published: November 2022

The article is devoted to the study of the pandemic as a legal prerequisite for the introduction of special legal regimes. Approaches to the definition of the term “pandemic” that occur in various fields are analyzed. It is noted that the pandemic is closely related to the epidemic in the scientific literature. That is, today there is a statement that the spread of an epidemic to several countries or continents is called a pandemic. It is claimed that the understanding of the essence of the pandemic as a phenomenon from the field of medicine and social relations shows that the pandemic causes not only medical and other social consequences, but also legal ones.

It is noted that the concept of legal regime plays a significant role in the system of legal regulation of social relations. The legal nature of legal regimes is determined, and their classification is carried out. The following main features of legal regimes are highlighted: they are established and provided by the state; determine the rules of behavior in specific social relations; they represent the procedure of legal regulation established by the state; they create certain approaches to ensure a favorable or unfavorable degree of subjective interests. The regulatory principles of establishing a special legal regime are analyzed.

It is concluded that the term “pandemic” is mainly used in the medical field, however, the factors that cause a pandemic are not only important within the limits of medicine or sanitation, but also entail acute social consequences, taking into account the legal.

It is noted that the pandemic is a prerequisite for the introduction of a state of emergency. In order to eliminate the pandemic, the following measures should be realized: implementation of quarantine measures; population evacuation; application of a special order regarding the distribution of food and basic necessities; mobilization; change of work schedules of enterprises, institutions and organizations.
Legal regulation of national security in Ukraine: today’s challenges
Authors: Kobko Ye. V.
Published: November 2022

The article is devoted to the study of the legal regulation of national security in Ukraine. Against the background of the full-scale invasion of Russia on the territory of Ukraine, this issue becomes particularly relevant and requires a more detailed and in-depth study. Moreover, in recent years, the raised issue is becoming more relevant not only on the territory of Ukraine, but also in the field of lively discussion at the international level, because modern legal, democratic states of the world seek to join forces in this direction.

It is noted that the legal mechanism for ensuring national security in Ukraine is regulated by a system of laws and by-laws. In this area, the main regulatory documents of both state and international nature are singled out and analyzed. In particular, the public legal mechanism for ensuring national security in Ukraine is established in accordance with the Constitution of Ukraine. Its functioning and gradual development is ensured by a system of laws and by-laws, which can be divided into two groups: 1) those that directly regulate public relations in the sphere of ensuring national security and defense; 2) those that regulate other social relations and indirectly guarantee national security and defense. Sub-legal normative legal acts in the field of ensuring national security detail, harmoniously complement and specify the current legislation.

The system of by-laws in the field of ensuring national security is largely branched and characterized by incoherence. The system of current legislation in the field of ensuring national security needs improvement in terms of Ukraine's integration into NATO. Taking into account international standards in the field of defense is an important factor in the recognition of Ukrainian society as a civilized member of the international community.

The fundamental standards of ensuring national security are provided for in international acts in the field of human rights, which establish the conceptual foundations for the further formation of special international standards in various areas. The standards defined in international treaties on human rights were further improved in international security acts developed under the auspices of the United Nations, the Council of Europe, the OSCE, the European Union, etc.
Digital state in the context of legal reform in Ukraine: theoretical and legal aspect
Authors: Najafli E.
Published: November 2022

The purpose of the article is theoretical and legal coverage of the key parameters of legal reform in the field of digital state formation based on the application of the institutional approach, as well as taking into account the achievements of domestic theoretical and legal science and legal branch science. It is shown that the formation of a digital state is an integral element of digitalization of all spheres of social life and a requirement of modernity. Structural and procedural approaches to the study of legal reform in the field of digital state formation are analyzed. The expediency of combining these approaches for a deeper and more comprehensive scientific knowledge of the studied phenomenon is highlighted. It has been established that the legal reform in the field of the formation of a digital state should be recognized as a type of legal reform aimed at a holistic, comprehensive change in the conditions and legal basis of the organization and functioning of the state apparatus in the direction of its optimization and the widest application of information and communication technologies in order to simplify the state administration system, significantly increasing its effectiveness and including society and individual citizens in solving the most significant issues of social and state life. The key aspects and directions of this reform are analyzed.

It has been proven that the model of forming an exclusive digital state, which did not provide for the wide involvement of society and its institutions in solving national (public) issues and affairs, has been implemented in modern Ukraine, which essentially reproduced the conservative trajectory of the previous state-power development. It is indicated that the transition from an extensive paradigm of a digital state formation to an intensive one should be recognized as an urgent need today, which would provide for an inclusive model of the formation of a digital state due to the real inclusion (involvement) of civil society institutions in solving state affairs, stimulating civil initiative and making it impossible to adopt key legal acts without prior extensive public consultation, which should be given not optional but mandatory character.
Characterization of Biodegradable Composites from Polypropylene, Polypropylene Grafted Maleic Anhydride, and Durian Seed Starch
Authors: Nasution Darwin Yunus
Published: November 2022

The characterization of biodegradable composite from durian seed starch that is mixed polypropylene, and polypropylene grafted maleic anhydride has been done. The stages of this preparation were, the first had prepared durian seed starch, the second had the process of grafting maleic anhydride into polypropylene and the third had made of composite with the composition of PP:PP-g-MA: DSS (7:0.5:0.2); (7:0.5:0.3); (7:0.5:0.4); (7:0.5:0.5); (7:0.5:0.6) (w/w). The biodegradable composites obtained were characterized by tensile strength, surface morphology analysis by SEM, differential thermal analysis (DTA), analysis in nature with the ability to decompose biodegradable test, and functional groups analysis by FTIR spectroscopy. The results showed that the biodegradable composites have the best properties in the ratio of PP:PP-g-MA: DSS was (7:0.5:0.5) (w/w) with the test results of tensile stress is 12.556 N/m2, and the elongation is 8.600%, the images on a few flat surfaces and improved homogeneity, temperature change, and strong group interactions as well as having good biodegradable properties.
Preparation of Crackers by Mixing of Cassava, Carrot, and Protein Isolated from Waste of Ketchup Factory with CaSO4 Ions
Authors: Lenny Sovia
Published: November 2022

This research is one of the diversification efforts of food substances to create economically valuable nutritious food. It has been researched the use of isolation of protein from the waste of the Ketchup Industry as the mixture of crackers with various comparisons between isolating of the waste of protein from Ketchup Industry and cassava by adding an extract of carrot about its nutrient content also. The analyzing nutrient is protein content by using the Kjeldahl method and turning to dust β – carotene using the spectrophotometer and organoleptic test about the taste of crackers using a hedonic scale. The highest protein content and β – carotene is found in the crackers in comparison (1:6:3) namely 5,38 % and 53,59 ppm. Moreover, the lowest protein content and β – carotene is found in the crackers in comparison (1:0:0) namely 2.35 % and 27.49 ppm. The most delicious, crispy, and the most people like is the crackers with comparison (1:4:2).
Metaphors of Anger in Contemporary Bahasa Indonesia: A Preliminary Study
Authors: Huszka Balazs
Published: November 2022

According to “the” definition, metaphors conceptualize an abstract noun (i.e. a noun that is relatively burdensome to construe like ‘anger’, ‘love’, ‘life’, etc.) through a concrete one / ones. The first domain is called target, the latter is called source; and the link (mapping) between these two is based upon (1) a perceptual or / and (2) a culture-bound association. A prime example of a mixed type association could be sometimes, life (abstract) is like a boxing match (concrete): you have to push through life’s hardships! Although voluminous data about the metaphors of anger in linguistically rather diverse languages (like Hungarian, American English, Spanish, etc.) are available, these publications do not cover the two linguæ francæ of the historical Nusantara, Bahasa Indonesia and Bahasa Melayu. According to the experts’ literature, anger is often and language-independently (!) conceptualized as ‘a substance in a container’, as ‘an opponent’, as ‘a weapon’ or as ‘an object belonging to someone’; however, the salience of these metaphors shows slight differences (Kövecses / Szelid / Nucz et al. 2015). In this paper, we will discuss whether anger is conceptualized similarly in Bahasa Indonesia. As there is a wide selection of words for anger / angry (marah, kesal, sebal, jengkel, gusar, ngegas, gondok, etc.) that represents diatopic and diastratic variations, and even semantic differences, we had conducted a frequency of occurrence analysis in Google to find the most salient term. Based on this very term, we performed interviews with ten native speakers, gathered metaphors, and, after a primary evaluation of the data, we classified them according to their respective metaphoric concept (‘substance in a container’, etc.). Subsequently, we also tried to identify culture- / language-specific metaphors or metaphoric patterns that yet cannot be found in the specialist literature, and looked at the reasons behind the existence of these metaphoric concepts.
ДЕРЖАВНЕ РЕГУЛЮВАННЯ РОЗВИТКУ САДІВНИЦТВА В УКРАЇНІ
Authors: Шевчук Ганна , Гонтарук Ярослав , Гіренко Марина
Published: November 2022

Стаття присвячена актуальним напрямам вдосконалення державного регулювання розвитку садівництва. Обґрунтовано необхідність розвитку вітчизняної селекції як засобу досягнення продовольчої незалежності України. Сформовано напрями розвитку державної підтримки крафтових виробництв та заходів з організації переробки продукції садівництва на підприємствах. Аргументовано, що програма становлення та розвитку продовольчого ринку як України, так і її окремого регіону повинна містити заходи із створення необхідного рівня пропозиції (виробництва) сільськогосподарської продукції, заходи зі створення ринкової інфраструктури, з підтримки прибутковості сільськогосподарських товаровиробників на рівні, необхідному для розширеного виробництва, рівня гарантованих цін та інші організаційно-економічні заходи, проведення яких необхідне для організації нормального функціонування ринку продовольства. Доведено, що метою підтримки розвитку садівництва та розвитку малих переробних підприємств є доцільним розширення заходів державного стимулювання шляхом надання дотацій в розмірі до 60 відсотків вартості обладнання необхідного для переробки продукції садівництва безпосередньо виробниками продукції садівництва.
Fostering student success: academic, social, and financial initiaives
Authors: Stroud Adam
Published: November 2022

This is a book review for Kelsey's  (2022) Fostering student access: academic, social, and financial initiatives
Habituation of Chinese Subculture amid Bangka Malay Domination: The Role-sharing Politics
Authors: Ibrahim Ibrahim , Hidayat Arief , Herza Herza
Published: November 2022

Ethnic Chinese is an ethnic group that has long been part of the people of Bangka Island. The harmonious relationship between the ethnic Chinese and the indigenous population shows that the habituation process is going well so that their existence is accepted as a social reality. This study uses descriptive qualitative methods to collect data from interviews and observations in regencies/municipalities within Bangka Island. This research finds that the existence of the Chinese ethnicity has been processed by strengthening the four main capitals of the Chinese ethnicity (Bourdieu’s view): economic capital, social capital, cultural capital, and symbolic capital. Capital control has encouraged good role-sharing politics because capital control is carried out transformatively. It is not surprising that the Chinese minority subculture, although in many ways it feels dominant, can still be accepted as a social reality that forms intercultural harmony on Bangka island.
PENURUNAN KADAR GULA DARAH MENCIT PUTIH JANTAN DENGAN MENGGUNAKAN HASIL FRAKSINASI DAUN INSULIN
Authors: Brata Andy , Azizah Lailan
Published: November 2022

Daun insulin adalah daun tanaman yang mengandung seskuiterpen lakton, asam klorogenat dan flavonoid sebagai zat aktif untuk menurunkan kadar gula darah (antidiabetes). Penggunaan daun insulin (Tithonia diversifolia (Hemsl.) A. Gray) sebagai rebusan yang dipergunakan di masyarakat selama ini sebagai antidiabetes belum diketahui keefektivitasannya. Penelitian ini dilaksanakan untuk mengetahui pengaruh pemberian jenis fraksi daun insulin (Tithonia diversifolia (Hemsl.) A. Gray) bisa menurunkan kadar gula darah pada mencit putih jantan diabetes yang diinduksi dengan aloksan sebelumnya. Penelitian ini merupakan penelitian pra eksperimen dengan menggunakan desain the static-group comparison dan pembagian kelompok hewan uji dengan menggunakan rancangan acak lengkap (RAL). Hewan uji yang digunakan adalah mencit putih jantan sebanyak 42 ekor yang dibagi menjadi 6 kelompok dan terdapat 7 ekor mencit di masing-masing kelompok, kelompok hewan dibagi menjadi kelompok kontrol negatif (NaCMC), kelompok kontrol positif (glibenklamid), kelompok ekstrak etanol daun insulin 150 mg/kgbb, kelompok fraksi n-heksan 150 mg/kgbb, kelompok fraksi etil asetat 150 mg/kgbb dan kelompok fraksi air 150 mg/kgbb. Setelah itu dilakukan pengujian dengan pengecekan kadar glukosa mencit dimulai dari menit ke-35, 90, sampai 135. Ada aktivitas penurunan gula darah setelah pemberian berbagai variasi fraksi daun insulin pada mencit putih jantan yang diinduksi aloksan. Aktivitas penurunan gula darah pada pemberian berbagai variasi fraksi daun insulin pada mencit diabetes yang diinduksi dengan aloksan bermakna setelah pemberian pada menit ke-135 dengan p-value 0,027 (p<0,05).
B- and T-cell acute lymphoblastic leukemias evade chemotherapy at distinct sites in the bone marrow
Authors: Barz Malwine J. , Behrmann Lena , Capron Danaëlle , Zuchtriegel Gabriele , Steffen Fabio D. , Kunz Leo , Zhang Yang , Vermeerbergen Iria Jimenez , Marovca Blerim , Kirschmann Moritz , Zech Antonia , Nombela-Arrieta César , Ziegler Urs , Schroeder Timm , Bornhauser Beat , Bourquin Jean-Pierre
Published: November 2022

Persistence of residual disease after induction chemotherapy is a strong predictor of relapse in acute lymphoblastic leukemia (ALL). The bone marrow microenvironment may support escape from treatment. Using three-dimensional fluorescence imaging of ten primary ALL xenografts we identified sites of predilection in the bone marrow for resistance to induction with dexamethasone, vincristine and doxorubicin. We detected B-cell precursor ALL cells predominantly in the perisinusoidal space at early engraftment and after chemotherapy. The spatial distribution of T-ALL cells was more widespread with contacts to endosteum, nestin+ pericytes and sinusoids. Dispersion of T-ALL cells in the bone marrow increased under chemotherapeutic pressure. A subset of slowly dividing ALL cells was transiently detected upon shortterm chemotherapy, but not at residual disease after chemotherapy, challenging the notion that ALL cells escape treatment by direct induction of a dormant state in the niche. These lineage-dependent differences point to niche interactions that may be more specifically exploitable to improve treatment.
Ramadan Risk Stratification by International Diabetes Federation and Diabetes & Ramadan International Alliance (IDF-DAR) Risk Calculator in Bangladeshi People with Diabetes Mellitus who wished to Fast in 2022
Authors: Morshed Md Shahed , Hossain Md Firoj , Hannan Muhammad Abdul , Kabir Md Ahamedul , Hosen Mobarak , Mallick Satyajit , Alam Mohammad Jahangir , Amin Mohammad Nurul , Faruque Mohammad Omar , Rahman Shahin Ibn
Published: November 2022

Background: Risk stratification is an essential and first component of the pre-Ramadan assessment of patients with diabetes mellitus (DM) who wish to fast. Limited data are reported from Bangladesh regarding risk stratification of people with DM who wish to fast.

Objective: To determine the risk status of people with DM who wish to fast during Ramadan.

Methods: This cross-sectional observational study was done among Muslim people of DM with at least one year of experience of Ramadan in previous years after their diagnosis. Along with baseline characteristics, the individual 14 risk elements of the International Diabetes Federation and Diabetes & Ramadan International Alliance (IDF-DAR) risk calculator- 2021 were assessed. Patients were categorized into low, moderate, and high risk with a total score of 0-3, 3.5-6, and ≥6.5 respectively. Moderate and high-risk patients were counseled about their risk of fasting and requested to reconsider their wishes.

Results: Among 569 participants, (mean age 50.97±12.02 years, male-female ratio 36.2:63.8) 37.8%, 38.8%, and 23.4% had high, moderate, and low risk respectively. Risk scores were significantly higher in older age (p<0.001), male sex (p=0.024), residence in Chattagram than Rajshahi division (p=0.009) as well as housewife and businessman than other occupations (p=0.012). Despite knowing the risks of fasting, 88.8% of people with high risk and 96.8% of people with moderate risks still wished to fast. The people who still wished to fast despite knowing their risks of fasting had significantly lower percent of macrovascular disease (p=0.039), lower creatinine levels (p<0.001), with a lower percent of dipstick proteinuria (p=0.010), and use of insulin (p=0.021) than those who changed their decision.

Conclusions: Nearly 90% of persons with DM with moderate/high risk for fasting still wished to fast despite their exemption. These at-risk population needs guidance, monitoring, and follow-up for safe fasting.

J Rang Med Col. September 2022; Vol. 7, No. 2:4-11
Fisioterapia e tempo de internamento em Unidade de Terapia Intensiva
Authors: Santos Ariele Alves de Jesus , Santana Pabline dos Santos , Goes Karine Orrico , Sousa Nayara Alves de , Ferreira Priscila d’Almeida , Santos João Xavier dos , Santos Giovanna Porto dos , Fernandes Geovana Sammea Felix de Brito
Published: November 2022

Introdução: O processo de hospitalização prolongado na unidade de terapia intensiva (UTI) é um dos fatores determinantes para aumento das comorbidades do paciente crítico. Neste contexto, o fisioterapeuta intensivista é um dos profissionais responsáveis por atuar de maneira complexa no gerenciamento da função ventilatória e motora, a fim de promover melhores condições de saúde para a alta precoce. Objetivo: descrever o perfil sociodemográfico e clínico de pacientes internados em unidade de terapia intensiva (UTI), e analisar a associação da fisioterapia com o tempo de internamento nesta unidade. Métodos: Trata-se de estudo transversal e analítico, com 18 pacientes de ambos os sexos internados em Unidades de Terapia Intensivas do município de Jequié-BA. Foi utilizado um questionário próprio dividido em dois blocos: variáveis sociodemográficas e de condições clínicas. Calculou-se frequência relativa e frequência absoluta, e a análise associativa foi verificada por meio do Fisher's Exact Test. Resultados: Prevaleceram pacientes do sexo feminino, com idade maior ou igual a 60 anos, com ensino fundamental e sem companheiro. A principal causa de internamento foram as doenças neurológicas, seguida das cardiovasculares. O tempo de internamento e a quantidade de atendimento de fisioterapia foi menor ou igual a nove. Conclusão: Conclui-se que, entre os pacientes da UTI, a maioria são mulheres idosas, com baixo nível de escolaridade e que vivem sem cônjuge. Além disso, observou-se que as doenças neurológicas são as responsáveis pelo maior número de internações, ademais, houve relação significativa entre a quantidade de atendimento da fisioterapia com a quantidade de dias internados na UTI.
Ilhas de calor e a importância da arborização urbana para o município de Paço de Lumiar, MA, Brasil
Authors: Costa Josilene Moraes , Costa Josiane Moraes , Silva André Luiz Gomes
Published: November 2022

O Município de Paço do Lumiar – MA está localizado na Ilha de São Luis e sua vegetação natural predominante é amazônica com maior proporção de mangues. No entanto, sua área verde vem sofrendo uma redução drástica nos últimos 20 anos em decorrência do avanço imobiliário. Este trabalho teve por objetivo caracterizar as áreas arborizadas e identificar as ilhas de calor na zona urbana do município de Paço do Lumiar – MA. Para este fim foram feitos levantamentos de dados primários e secundários sobre a cobertura vegetal do município e as suas ilhas de calor. A arborização na zona urbana é precária e não atende aos quesitos básicos de paisagismo e urbanização, com muitas espécies plantadas inapropriadas para este fim. Dentre essas espécies, as mais comuns são Ficus benjamina L. (figueira) e Terminalia catappa L. (amendoeira). Segundo dados secundários, os menores valores dos índices de vegetação são observados principalmente na porção sudoeste do município, área onde estão localizados os bairros mais densamente ocupados, como o bairro Maiobão. Nas datas analisadas, a temperatura de superfície variou de 37°C e os menores valores são observados na classe de água e vegetação de maior densidade, evidenciando que áreas com maior disponibilidade de água e presença de vegetação podem contribuir para a amenização dos efeitos de anomalias térmicas como as ilhas de calor, que determinam o conforto climático de populações urbanas. Por essas razões, se faz necessário a elaboração de um Manual de Arborização ou Plano Municipal de Arborização para o Município de Paço do Lumiar para amenizar a problemática das ilhas de calor nos bairros mais densamente povoados.