bluuebunny/crossref_metadata_2025 huggingface dataset:
Ensino De Inteligência Artificial: Abordando Aspectos Éticos Na Formação Docente
Authors: G. Webber Carine , Flores Diego
Published: January 2023

Internacionalmente, o ensino da IA tem emergido como uma prioridade uma vez que tem-se a primeira geração de crianças usuárias de produtos de IA. Sensível às questões éticas relacionadas ao uso da IA, a UNESCO recomenda a implementação de ações em resposta às oportunidades e desafios apresentados pela IA e relacionados à educação. Os valores e princípios que devem ser observados compreendem o respeito aos direitos humanos, justiça e não discriminação e a transparência e explicabilidade da IA. Nesta direção, currículos e materiais didáticos têm sido criados e disponibilizados. Contudo, a integração aos componentes curriculares depende da formação docente apropriada. Neste sentido, este artigo descreve uma proposta de formação docente continuada em IA.
Proposta de implementação da Computação Afetiva no Sistema Tutor Inteligente MAZK: conciliando emoções com o processo de aprendizagem
Authors: Maldaner Natalia , Pozzebon Eliane , Nilson dos Santos Tatiana
Published: January 2023

Os professores podem utilizar da empatia para compreender estados emocionais dos alunos e assim intervir quando necessário. Quando se faz uso de tutores inteligentes neste cenário, ainda enfrentam-se desafios em relacionar emoção à estes recursos. Contudo, a Computação Afetiva é uma área que se dedica a encontrar mecanismos para inferir emoções em máquinas, e neste artigo, o objetivo é realizar um estudo a partir dela, visando elaborar uma proposta para dotar o Sistema Tutor Inteligente MAZK de capacidades afetivas. Para tanto, a abordagem metodológica utilizada deu-se por meio da pesquisa qualitativa e exploratória. A partir disso, observou-se que é possível inserir um módulo reconhecimento afetivo no MAZK e permitir que o sistema intervenha de maneira empática em situações que sugerem que o aluno está desmotivado e com maiores dificuldades, ao passo que fornece feedbacks positivos aos alunos com bom desempenho.
Avaliação da Usabilidade de Interfaces Gráficas para Distribuições Linux
Authors: Antunes Vieira Rafael , Duarte Seabra Rodrigo
Published: January 2023

Diferentemente dos sistemas operacionais Microsoft Windows e MacOS, as distribuições Linux tratam de forma separada o desenvolvimento da interface gráfica e do sistema operacional, sendo que o usuário pode escolher o projeto de interface gráfica mais adequado para seu uso. Este trabalho avaliou a usabilidade das interfaces gráficas disponíveis para distribuições Linux, utilizando a metodologia de avaliação “teste de usabilidade” e os critérios de usabilidade definidos na ISO 9241-11. Como objeto de investigação, foram avaliadas as interfaces KDE Plasma 5.22, Cinnamon, Gnome com alterações do Ubuntu 21.10 e Pantheon Desktop. Os resultados obtidos revelaram que a interface KDE Plasma 5.22 foi a que obteve a melhor usabilidade dentre as interfaces avaliadas, considerando os perfis de usuários participantes da pesquisa.
Aprendendo as Origens do “Mineirês” Através de um Jogo Digital Educacional
Authors: Moreira de Classe Tadeu , Moreira de Castro Ronney , Alves Inocêncio Juliana
Published: January 2023

Estudantes das gerações atuais, desde o ensino fundamental, acessam conteúdo online, jogam e assistem vídeos para obter conhecimento quanto ao idioma, história e geografia local, regional e mundial. Este e o contexto de concepção do jogo “Uai! Que isso sô!”, criado com o propósito de ensinar a origem de expressões e cultura do Estado de Minas Gerais para estudantes. O jogo foi concebido usando o Endo-GDC, um game canvas feito para pensar jogos educativos, sendo avaliado em um estudo quasi-experimental quanto a experiência de gameplay e o aprendizado adquirido pelo jogador. Os resultados evidenciam de que o jogo é uma ferramenta lúdica que permite a seus jogadores aprenderem a origem do “mineirês”.
Jogo Sério para Imersão no Desenvolvimento de Software Embarcado em Internet das Coisas no Contexto de Casas Inteligentes
Authors: Reis dos Santos Cleidiana , Duarte Seabra Rodrigo
Published: January 2023

Este artigo discute o uso de um jogo sério para oferecer uma visão geral sobre alguns problemas no desenvolvimento de soluções em Internet das Coisas (IoT) para casas inteligentes. A utilização de jogos como ferramenta de aprendizado é um método propício principalmente para o público mais jovem, por apresentar elementos de diversão e engajamento. O jogo proposto busca despertar o interesse dos estudantes no assunto, disseminando a ideia e a motivação em atuar na área de desenvolvimento por meio de uma experiência que demanda soluções de problemas no contexto de casas inteligentes. A partir dos resultados obtidos, pode-se concluir que o jogo foi capaz de introduzir os estudantes à área de IoT e motivá-los a aprofundar seus conhecimentos, tendo avaliação positiva por parte dos estudantes nos critérios técnicos investigados.
Uma abordagem para predição da Retenção Escolar em cursos ministrados de forma híbrida pelo método de Sala de Aula Invertida
Authors: Mara Guimarães de Farias Adriana , Galembeck Eduardo , Evandro Cintra Marcos
Published: January 2023

Este trabalho focou na questão da retenção escolar. Foi proposto um modelo de classificação para avaliar a situação dos alunos ao final do semestre letivo, se os mesmos seriam aprovados ou reprovados, com base nas notas das atividades avaliativas que os mesmos fazem ao longo do semestre. Foi usado o algoritmo Naive Bayes com dados de um conjunto de 16 atividades avaliativas aplicadas por meio do Ambiente Virtual de Aprendizagem MOODLE. Foram gerados 16 modelos distintos, cada um com a inclusão de mais uma atividade avaliativa, isto é, o primeiro modelo considerou apenas a avaliação 1, o segundo as duas primeiras avaliações, e assim por diante. Os resultados obtidos foram validados com uma turma de um semestre posterior. A principal contribuição deste trabalho é o fato de os modelos poderem ser incluídos a qualquer disciplina, usando dados de entrada de fácil obtenção, e resultando em uma acurácia alta. A aplicação do modelo permite que o docente identifique alunos que podem ser reprovados e realize ações para ajustar as atividades de ensino e reduzir a retenção escolar.
Aceitação da adoção de Realidade Aumentada no ensino de Biologia
Authors: Feitosa de Macêdo Vanderlan , Sedraz Silva João Carlos , Medeiros Chaves de Vasconcelos Gibran , Lins Rodrigues Rodrigo , Gomes de Oliveira Deranor
Published: January 2023

Com a disseminação dos dispositivos móveis dotados de vários sensores, como câmeras, acelerômetros e GPS, o uso de Realidade Aumentada (RA) tem se difundido em várias áreas. Com foco na área da Educação, o objetivo deste artigo foi avaliar a aceitação dos estudantes em relação a adoção de recursos de RA no ensino de Biologia. Para tanto, foi conduzido um experimento orientado pelo Modelo de Aceitação de Tecnologia, no qual 19 estudantes testaram e emitiram as suas percepções sobre esse tipo de recurso. Os resultados do experimento revelaram uma boa aceitação dos estudantes para utilização de RA, reconhecendo que esses recursos são fáceis de utilizar e que são úteis para o processo de aprendizagem. Porém, vale ressaltar que os resultados, também, apontaram a necessidade de observar fatores que podem prejudicar essa aceitação, como a falta de internet e de dispositivos para o acesso a RA.
Percepção do impacto no engajamento cívico em uma plataforma governamental de transparência de dados aberta
Authors: Marques Queiros Leandro , Da Silva Dias Camila Beatriz , Santana Correia dos Santos Clarice , Gomes Alex Sandro , Omena Marques Alves Felipe , Ribeiro Junior José Roberto , Portilho Moreira Gabriel
Published: January 2023

A abertura de dados sobre o desempenho de estudantes da Educação Básica é uma das mais importantes políticas públicas das últimas três décadas. As iniciativas nacionais são ainda limitadas e isso faz com que os resultados de desempenhos e censos escolares sejam pouco conhecidos. Este artigo tem como objetivo apresentar uma avaliação exploratória acerca da percepção do impacto no engajamento cívico em uma plataforma governamental de transparência de dados aberta, o aplicativo Clique Escola. Coletamos e analisamos as percepções por meio de entrevistas semiestruturadas de natureza qualitativa. Os resultados evidenciam percepções antagônicas acerca do real impacto do acesso a dados no engajamento cívico da população escolar. Há contribuições para colaboração do/para o engajamento da sociedade.
Another Theta Generalized Closed Sets in Fuzzy Topological Spaces
Authors: V.Chandrasekar  , G.Anandajothi
Published: January 2023

In this paper, we introduce a new class of fuzzy generalized closed sets called fuzzy θ g‴-closed and its properties are investigated. Further, new concept of fuzzy θ g*s- closed, fuzzy g‴ θ - closed, fuzzy g*sθ -closed, and fuzzy g‴α θ - closed sets are introduced using it.
Vertex Domination Critical in Circulant Graphs
Authors: Talebi A.A. , M.Zameni  , Rashmanlou Hossein
Published: January 2023

A graph G is vertex domination critical if for any vertex v of G, the domination number of G – v is less than the domination number of G. We call these graphs γ-critical if domination number of G is γ. In this paper, we determine the domination and the total domination number of Cir(n,A) for two particular generating sets A of Zn, and then study γ-critical in these graphs.
Fuzzy Conjunctive Grammar
Authors: R.Pathrakumar  , M.Rajasekar
Published: January 2023

Inspired by, Conjunctive Grammar (CG) in crisp case, we study the simplication of Fuzzy Conjunctive Grammars (FCG).
Critical Path with Various Distances of Type-2 Fuzzy Numbers
Authors: V.Anusuya  , P.Balasowandari
Published: January 2023

The critical path method (CPM) is a vital tool for planning and controlling complex projects. The successful implementation of CPM requires the availability of clear determined time duration for each activity. In practical situations this requirement is usually hard to fulfill, since many of these activities are uncertain, which leads to the development of fuzzy critical path method. In this paper, we propose a new approach to find critical path and its path length using some various distances of trapezoidal type-2 fuzzy numbers. An example is included to demonstrate our proposed approach.
Error Estimation Using Fuzzy Linear Regression Analysis
Authors: Mohideen S.Ismail , Gani A.Nagoor , U.Abuthahir
Published: January 2023

In this paper an attempt is made to reduce the error of non-fuzzy data using fuzzy linear regression. A numerical example has been analyzed. It is concluded from the example that the normal regression method is better compared to fuzzy linear regression method.
Common Fixed Point Theorem of two Self Mappings in Fuzzy Normed Spaces
Authors: Chandel Raghvendra Singh , Abbas Hasan , Tiwari Rina
Published: January 2023

In this paper, we prove common fixed point theorem for two self mappings defined on Fuzzy Normed Space. Our result is an extension of Cheng-Cheng Zhu et al.
M-N Fuzzy Normal Soft Groups
Authors: M. Kaliraja  , S. Rumenaka
Published: January 2023

In this paper, we have discussed the concept of M-N fuzzy normal soft group, we then define the M-N level subsets of a fuzzy normal soft subgroup and its some elementary properties are also discussed. The presented method in this manuscript is more sensible and also reliable in solving the problems. This method can solve the decision making problems
On Fuzzy arω-Continuous Maps in Fuzzy Topological Spaces
Authors: S. Mandalageri Prabhavati , Wali R. S.
Published: January 2023

In this paper, we introduced new class of continuous maps called fuzzy αrωcontinuous maps in fuzzy topological spaces and studied some of their basic properties. Also we introduce fuzzy αrω-irresolute functions in fuzzy topological spaces and studied some of their properties.
Solving Critical Path Problem using Triangular Intuitionistic Fuzzy Number
Authors: G. Sudha  , Porchelvi R. Sophia , K. Gnanaselvi
Published: January 2023

This paper presents a method for finding critical path with Intuitionistic fuzzy project network. Triangular Intuitionistic fuzzy numbers are used to represent activity times in the project network and we propose an algorithm for finding critical path. A solution is also given to demonstrate our proposed approach.
Equitable Regular Total Semi-µ Strong (Weak) Edge Domination in Intuitionistic Fuzzy Graph
Authors: Jayalakshmi P.J. , Harinarayanan C.V.R. , R.Muthuraj
Published: January 2023

In this paper, the new kind of parameter Regular total semi - µ strong (weak) edge domination number in an intuitionistic fuzzy graph is defined and established the parametric conditions. Another new kind of parameter an equitable regular total semi - µ strong (weak) edge domination number is defined and established the parametric conditions. The properties of Regular total semi - µ strong (weak) edge domination number and an equitable regular total semi - µ strong (weak) edge domination number domination number are discussed.
Perfect Domination in Constant Intuitionistic Fuzzy Graph of Degree (ki ,kj)
Authors: S.Revathi  , Harinarayanan C.V.R. , R.Muthuraj
Published: January 2023

In this paper, the new kind of parameter perfect dominating set in constant intuitionistic fuzzy graph is defined and established the parametric conditions. Another new kind of parameter totally constant intuitionistic fuzzy graph is defined and established the parametric conditions. Some properties of Perfect dominating set in constant IFG and totally constant IFG with suitable examples are also discussed.
A New Approach on Multiple Attribute Decision Making with Interval-Valued Knowledge Measure
Authors: M. Maragatham  , Gayathri P.Lakshmi
Published: January 2023

In this paper, firstly some entropy measures and knowledge measure for the interval-valued intuitionistic fuzzy sets are discussed. Also interval-valued intuitionistic fuzzy weighted geometric averaging operator (IVIFWA), interval-valued intuitionistic fuzzy ordered weighted geometric averaging operator (IVIFOWGA) and interval-valued intuitionistic hybrid geometric averaging operator (IVIFHGA) are discussed. Based on the concepts mentioned above, a new multi attribute decision making method for interval-valued intuitionistic fuzzy numbers is proposed. Finally some illustrations are performed to demonstrate the effectiveness of the proposed method.
Uniform Integrability for Fuzzy Random Variables
Authors: Manora J. Joseline , Deepa R.
Published: January 2023

In this paper the uniform integrability of fuzzy random variable is introduced. An attempt is made to study the uniformly absolutely continuous fuzzy valued functions and an equivalent condition for uniform integrable and uniformly absolutely continuous is determined.
Matching in Fuzzy Labeling Graph
Authors: Mohamad S. Yahya , S.Suganthi
Published: January 2023

In this paper, a new concept of matching in fuzzy labeling graph is introduced. A graph is said to be a fuzzy labeling graph if it has fuzzy labeling. Matching, Perfect Matching, M - alternating path, an M-augmenting path, saturated vertex and bipartite fuzzy graph have been discussed
Fuzzy Colouring of Interval-Valued Fuzzy Graph
Authors: K.Kalaiarasi  , R.Divya
Published: January 2023

Fuzzy graphs have revolutionized the analysis of problematic data to arrive at a better decision making power are different kinds. Among them, the interval-valued fuzzy graph in the simplest and generalized once. The main purpose of this paper is to introduce the chromatic number of an interval-valued fuzzy graph. Here working rule of an interval-valued fuzzy graph, power cut graph are discussed.
Determinants of Cybercrime and its Impact on eCommerce Development in Bangladesh
Authors: Yeasmin Farjana , Wu Xianfeng
Published: January 2023

The research study aims to delve into the various external factors in the sociocultural and political domain of Bangladesh that encourage cybercrime. These factors play a major role in shaping the psyche and perspective of offenders. The paper applies the method of survey and systematic review. The survey is conducted using the method of stratified sampling for having the best idea about the trends and perspectives of the indigenous population of Bangladesh. The systematic review in context is conducted by application of the grounded theory approach of qualitative research method. Constant comparative method with the three levels of coding procedure is used for zeroing in on the theoretical perspective regarding the answers to the research questions of this study. The intricate process in context is used for identifying the reasons leading to acts of cybercrime. Moreover, the intertwined relationship between cybercrime and the domain of e-commerce in Bangladesh gets explored. The various ways in which the domain of ecommerce is exploited by the offenders for victimizing companies or consumers is scrutinized. The thesis explores the manner in which e-commerce is being detrimentally affected by the encompassing challenges. The findings and analysis lead to the identification of key ways in which the domain of e-commerce can thrive and flourish in Bangladesh. The aspects of management, trust, awareness, and technology are explored in detail. Apart from this, other factors that are associated with the performance of ecommerce companies are also scrutinized in the course of the study. The recommendations made in the study can pave the way for successful business management of e-commerce companies and stronger economy in Bangladesh.
The Impact of user Proposals in the Open Community on Product Iterative Innovation: Based on the Case of Xiaomi’s Online Community
Authors: Xiaoyu Liu , Qun Tong , Sang Pham Van
Published: January 2023

Crowdsourcing innovation obtains external knowledge and technology through the Internet, it introduces the wisdom of the public into enterprise innovation, and realizes the co-creation of the value of public knowledge. In order to verify the importance of crowdsourcing innovation to enterprises, this paper takes the Xiaomi’s online community as an example, crawls the data of submitted proposal proposed by users about two mobile phones named Xiaomi 9 and Xiaomi 10 in the community. And the word frequency and keyword analysis of the proposal data was executed. The analysis results show that the improvement proposal contents of Xiaomi 9 that concentrated on the system, processor and screen are closely related with the improvements of Xiaomi 10. Similarly, the improvement proposal contents for Xiaomi 10 that concentrated on the system and the processor are also fully reflected in the actual improvements of Xiaomi 11. The research results demonstrate that the crowdsourcing innovation in the Xiaomi community plays a significant role to guide the product innovation for Xiaomi phones, and provides direct supports to the company's product innovation.
Identification of Key Indicators of Flood Resilience in Riverside Urban Communities Based on SNA
Authors: Zhang Shuang
Published: January 2023

In order to strengthen the ability of riverside urban communities to cope with flood disasters, the evaluation indicators of flood resilience of riverside urban communities are constructed by literature review and field investigation, and the relationship network was constructed by the matrix of interaction among indicators. The social network analysis (SNA) indexes are used to measure and analyze the relationship of the constructed indicators network from the dimension of overall network and individual indicator. The results of indexes show that location, business type, business density, non-vulnerable groups, population density, ability to eliminate stagnant water, building density, and disaster relief are the key indicators among all the indicators. Therefore, locating risk groups, strengthening rescue and evacuation capacity, and building rainwater blocking and restoring facilities are of great importance to improve the flood resilience of riverside urban communities.
Research on the Application of Hybrid Teaching Based on a Community of Inquiry Theoretical Model in Economics Course
Authors: Sun Yajuan
Published: January 2023

Hybrid teaching will become the new normal of education in the future. The community of inquiry theoretical model is the most mature and widely used hybrid teaching evaluation framework at present. The community of inquiry theoretical model is also the theoretical framework of hybrid teaching design and implementation. The community of inquiry theoretical model is considered to be an effective theory to explain mixed teaching. Based on the community of inquiry theoretical model, this paper designs a hybrid teaching model for the course of Economics. This paper verifies the effect of hybrid teaching model based on the community of inquiry theoretical model.
Robustness Assessment of Urban Rail Transit Network Based on the Interdependency Analysis: Chongqing Rail Transit in Jiangbei and Yuzhong as an Example
Authors: Hussein Abdulraqeb
Published: January 2023

As transportation demand develops, urban rail transit networks become increasingly crowded, making them more linked and harder to manage. Furthermore, system failures and climate change are expected to increase the number of disruptions. Consequently, evaluating system robustness is critical to ensure it's operating safely. Complex network theory is used to investigate the overall topological structure of the urban rail transportation network (URTN). Attack strategies for URTN are designed when the topological and robustness analysis parameters have been calculated. According to the research, malicious attacks have a more significant effect on system robustness than random attacks. The proposed methodology is applied to the Chongqing rail transit in the Jiangbei and Yuzhong districts.
Difference Analysis and Prediction of the Helpfulness in Online Reviews of Experience-based, Search-based, and Mixed-based Goods
Authors: Reyes C. C. Pacheco
Published: January 2023

Online reviews (ORs) have shown evidence to help consumers to reduce hesitation in the last stage of the purchase and has been also found that ORs help online businesses increase sales. However, ORs are increasing faster, becoming every time more robust with better ways and media to express useful and helpful information. Therefore, the way ORs help online business and consumers are constantly changing. Previous studies have intended to analyze helpfulness in different ways. However, they have not totally yet identified the most appropriate influence significance of the factors to test and predict the helpfulness of ORs due to the constant change and evolution of ORs in E-commerce platforms. I based this study on the economics of information, media richness, and negativity-bias theories, proposing a model that shows the influencing factors in the helpfulness of ORs (such as length, sentimental Analysis, score rating, number of images, video and published days). To find a closer optimal helpfulness analysis and prediction, a data set of 17,119 samples of three types of online goods have been extracted from different products on Amazon.com. For the analysis, we have considered employing a regression model to analyze the significance level of the factors in ORs for every type of online goods. The findings in this research prove that in fact there is a different perception of helpfulness for every type of good.
The Shadowed Set, Intuitionistic Fuzzy Set and their Three-way Decision
Authors: Guangpeng Ta  , Gong Zengtai
Published: January 2023

The theory of three-way decision provides an effective tool for decision-making under uncertainty and incomplete information when a two-way decision is difficult to make. In this paper, we try to transform an intuitionistic fuzzy set into a pessimistic shadowed set or an optimistic shadowed set by using two intuitionistic fuzzy parameters and the classical shadowed set. Accordingly, the pessimistic three-way decision or the optimistic three-way decision of intuitionistic fuzzy set are investigated by means of the proposed shadowed sets. In addition, a method to calculate the thresholds by the minimum cost principle is proposed and some examples are given for illustrating the validity of the method.
A Further Study on L-Fuzzy Covering Rough Sets
Authors: Xu Yao-liang , Zou Dan-dan , Li Ling-qiang
Published: January 2023

For L L = ∗ → ( , , ) a complete residuated lattice, a type of L -fuzzy covering rough sets was defined by Li [8] in 2017. In this paper, a further study on rough sets was given. Precisely, a single axiomatic characterization of the L -fuzzy covering rough sets was presented, and the relationships between the -fuzzy covering rough sets and L -fuzzy relation rough sets were established.
Numerical Solution of Boundary Value Problems for Second Order Fuzzy Linear Differential Equations
Authors: Wang Haixia
Published: January 2023

In this paper, the numerical solution of the boundary value problem for second order fuzzy linear differential equations is discussed. We consider the fuzzy difference equation to replace the fuzzy differential equation. The numerical solution of the boundary value problem is obtained by calculating the fuzzy difference equation. Finally, an example is given, to verify the effectiveness of this method.
Transfersome as Topical Drug Delivery: Formulation and Characterization
Authors: Darajat Nur Zakiyah , Chaerunisaa Anis , Abdassah Marline
Published: January 2023

A transdermal delivery system is a non-invasive delivery system that provide a controlled therapeutic effect. However, this system has a barrier that is the outermost layer of the skin, so that only part of the drug can be administered via the transdermal route. The use of the vesicular system as a carrier for drugs or active substances is a solution for transdermal delivery systems to be able to pass through the skin barrier. One of the vesicular systems that can overcome this problem is transfersome. Displacement is elastic and can change shape by squeezing itself to pass through smaller-than-sized pores. In addition, transfersomes can encapsulate drugs or active substances that are amphiphilic, and have permeation ability than conventional liposomes. This review article aims to explain the definition and general description of transfersomes, their mechanism of action, methods of preparation and characterization, and their recent application in drug delivery using the vesicular transfersome system.
Severe FVII deficiency presenting with Heterotopic gastric mucosa: Hoofbeats may be a zebra
Authors: Gupta Sweta , Shapiro Amy , Tibesar Eric E.
Published: January 2023

Gastrointestinal (GI) tract bleeding can present as symptomatic anemia
in children. This presentation warrants evaluation for GI tract
pathology and consideration of coagulation assays to rule out an
underlying bleeding diathesis. A male child was diagnosed with a rare
bleeding disorder, severe (<1%) factor VII (FVII) deficiency
during evaluation of severe iron deficiency anemia (IDA) secondary to
recurrent GI bleeding. Despite adequate prophylaxis for the underlying
bleeding disorder, continued GI bleeding and anemia led to further
evaluation and identification of a rare small intestinal tract lesion,
heterotopic gastric mucosa (HGM). Surgical treatment of the lesion
resulted in complete symptom resolution and abated the need for
prophylactic factor replacement therapy.
Shower Thoughts: Why Scientists Should Spend More Time in the Rain
Authors: Stan John Van , Allen Scott , Aubrey Doug , Berry Z. Carter , Biddick Matt , Coenders-Gerrits Miriam , Giordani Paolo , Gotsch Sybil , Gutmann Ethan , Kuzyakov Yakov , Magyar Donat , Mella Valentina , Mueller Kevin , Ponette-Gonzalez Alexandra , Porada Philipp , Rosenfeld Carla , Simmons Jack , R Sridhar Kandikere , Stubbins Aron , Swanson Travis
Published: January 2023

Rainwater is a vital resource and dynamic driver of terrestrial
ecosystems. Yet, processes controlling precipitation inputs and
interactions during storms are often poorly seen, and poorly sensed when
direct observations are substituted with technological ones. We discuss
how human observations complement technological ones, and the benefits
of scientists spending more time in the storm. Human observation can
reveal ephemeral storm-related phenomena such as biogeochemical ‘hot
moments’, organismal responses, and sedimentary processes which can then
be explored in greater resolution using sensors and virtual
experimentation. Storm-related phenomena trigger lasting, oversized
impacts on hydrologic and biogeochemical processes, organismal
traits/functions, and ecosystem services. We provide examples of
phenomena in forests, across disciplines and scales, to inspire mindful,
holistic observation of ecosystems during storms. We conclude that
technological observations alone are insufficient to trace the process
complexity and unpredictability of fleeting biogeochemical or ecological
events without the “shower thoughts” produced by scientists’ human
sensory and cognitive systems during storms.
Impact of Individual Factors on DNA Methylation of ADME Genes: A Systematic Review
Authors: Bian Jia-Lu , Zhao Jinxia , Zhao Yinyu , Hao Xu , He Shiyu , Li Yuanyuan , Huang Lin
Published: January 2023

Individual differences in drug response have always existed in clinical
treatment. Many non-genetic factors show non-negligible impacts on
personalized medicine. Emerging studies have demonstrated epigenetic
could connect non-genetic factors and individual difference in
treatment. We used systematic retrieval methods and reviewed studies
that showed individual factors’ impact on DNA methylation of ADME genes.
In total, 63 studies were included, and half(n=32) were cohort studies.
Six aspects of individual factors were summarized from the perspective
of personalized medicine: parental exposure, environmental pollutants
exposure, obesity and diet, drugs, gender and others. The largest number
of studies (n=11) studied methylation of ABCG1. Most studies showed
these non-genetic factors could result in a significant DNA methylation
alteration in ADME genes, which subsequently affect the process of drug
metabolism. However, the underlying mechanisms remain unknown. Finally,
we put forward some views for future research.
Biological Sex Differences of Fibrosis During the Development of Cancer Cachexia
Authors: Washington Tyrone , Schrems Eleanor R. , Haynie Wesley S. , Rosa-Caldwell Megan , Brown Jacob , Saling Landen , Lim Seongkyun , Perry Richard , Brown Lemuel A. , Lee David , Greene Nicholas
Published: January 2023

AIM Cachexia is characterized by losses in lean body mass and
its progression results in worsened quality of life and exacerbated
outcomes in cancer patients. However, the role and impact of fibrosis
during the early stages and development of cachexia in
under-investigated. The purpose of this study was to determine if
fibrosis occurs during cachexia development, and to evaluate this in
both sexes. Methods Female and male C57BL6/J mice were injected
with PBS or Lewis Lung Carcinoma (LLC) at 8‐week of age and tumors were
allowed to develop for 1, 2, 3, or 4 weeks. 3wk and 4wk female
tumor‐bearing mice displayed a dichotomy in tumor growth and were
reassigned to high tumor (HT) and low tumor (LT) groups. In vitro
analyses were also performed on co-cultured C2C12 and 3T3 exposed to LLC
conditioned media. Immunohistochemistry and quantitative PCR analysis
were used to investigate fibrosis and fibrosis related signaling in
skeletal muscle. Results Collagen deposition in skeletal muscle
was increased in the 1wk, LT and HT groups in female mice. However,
collagen deposition was only increased in the 4wk group in male mice. In
general female mice displayed earlier alterations in ECM related genes
beginning at 1 wk post-LLC injection. Whereas this was not seen in
males. Conclusions While overall tumor burden is tightly
correlated to cachexia development in both sexes, fibrotic development
is not. Male mice did not exhibit early-stage alterations in ECM related
genes contrary to what was noted in female mice.
A Parallel Granular Sieving Algorithm for Global Optimization
Authors: Du Wenna , Lin Hongqiang , Chen Zehua
Published: January 2023

Global optimization problems widely exist in the fields of economic
model, finance, engineering design and control. Since it is easy to fall
into multiple local optimal solutions that are different from the global
optimal solution, how to obtain the global optimal solution is a very
important subject. Inspired by the recently proposed deterministic
global optimization method – Granular Sieving (GrS) algorithm, this
paper proposes a parallel method for global optimization – P-GrS.
Supported by the mathematical theory of GrS, P-GrS can theoretically
guarantee to find the global optimum and the complete set of global
optimal solutions through the parallel design of GrS. The method has
better performance than the traditional GrS in most bench mark
functions, and the results show the feasibility and effectiveness of the
algorithm.
Fixed-Time Average Consensus for Delayed Multi-Agent Systems with Discontinuous Dynamics under Fixed and Switching Topology
Authors: Lv Hui , Yan Zhiguo , Du Mingjun
Published: January 2023

This paper is concerned with the fixed-time average consensus problem of
delayed multi-agent systems (MASs) under the framework of discontinuous
inherent dynamics. By introducing the weighted average state as the
virtual leader, the leaderless fixed-time consensus problem can be
transformed into the stability problem of the error system. Two
distributed control protocols are skillfully proposed based on the
neighbors’ information to guarantee that the MASs can achieve finite-
and fixed-time consensus, respectively. By establishing a relationship
between any two nodes in the MASs, some sufficient conditions are
derived such that the resulting consensus tracking errors can be
converged to zero within a finite/fixed time, respectively. In addition,
an analytical expression of the setting time is given, which does not
rely on the initial conditions. Moreover, finite-/fixed-time control
under switching topology is also studied, and the relevant results are
achieved. The theoretical results are illustrated by two examples.
Comparative health governance in Latin America: the case of national policy decisions during pandemic response in five countries
Authors: Alonso Cristina , Artaza Oswaldo , Rojas Karol , Sáenz Rocío , Glanc Mario , Machado Cristiani Vieira , Lopez-Cevallos Daniel , Torres Irene
Published: January 2023

Context: Little is known about pandemic response in Latin
America. The aim of this study was to compare key COVID-19 response
measures taken by five Latin American countries to understand what
elements of public governance are needed for more effective policy
strategies, and to inform future pandemic preparedness.
Methods: Using a qualitative, iterative approach guided by a
governance framework, we analyzed the most salient characteristics of
each country’s response (restriction, sanitary, and social protection
measures). Findings: A focus on transparency and inclusion,
together with attention to the primary level of care, appeared to be
more prominent in countries with less Covid-19 incidence and mortality
such as Argentina and Costa Rica. In contrast, Brazil, Chile, and
Ecuador, with more fragmented and segmented health systems, coupled with
less transparency and participatory decision making, were more severely
impacted. Conclusions: Pandemic preparedness may benefit from
emphasizing organizational, institutional, and informational elements of
governance. Since data is essential to decision making in an evolving
pandemic, the flow of information interacts with different elements of
governance; therefore, more attention should be placed on the relation
of the informational dimension with the organizational and institutional
dimensions.
A Comprehensive Cognition for the Capacity Fading Mechanism of FeS2 in Argyrodite-based All-solid-state Lithium Battery
Authors: Wu Zhan , Zhang Wenkui , Xia Yang , Huang Hui , Gan Yongping , He Xinping , Xia Xin-Hui , Zhang Jun
Published: January 2023

Sulfide solid state electrolyte (SSE) possesses high ionic conductivity
and great processability but suffers from narrow electrochemical window.
Conversion sulfide cathode FeS2 has higher specific capacity and
moderate redox potential, making it appropriate towards sulfide SSE.
However, the complex reaction pathway and capacity fading mechanism in
FeS2 are rarely studied, especially in all-solid-state lithium battery
(ASSLB). Herein, argyrodite sulfide SSE is paired with FeS2 to
investigate the electrochemical reaction pathways and the capacity fade
mechanism. Instead of single conversion reaction, an anionic redox
driven reaction of FeS2 is revealed. The oxidization of Li2S vanishes
and large quantity of inactive Li2S accumulates to cause the interfacial
deterioration, along with the stress concentration during cycling, which
leads to the rapid capacity fade of FeS2. Finally, a simple strategy of
slurry-coated composite electrode with highly conductive network is
proposed to direct the uniform deposition of Li2S and alleviate the
stress concentration.
Cryptocurrency market trend and direction prediction using Machine Learning: A Comprehensive Survey
Authors: Yamin Muhammad Abubakar , Chaudhry Maham
Published: January 2023

Bitcoin was the first cryptocurrency introduced as a cryptographic
proof-based electronic payment system in 2009. Till now approximately
more than 10,000 digital coins are active in the crypto market.
Cryptocurrency is a virtual digital asset that uses cryptography and
blockchain technology for transaction verification and records
maintenance. Its trading is gaining attention due to volatile behavior,
decentralized nature, and liquidity in this digital asset. Trading this
digital asset provides anonymity and security in transactions.
Groundless fluctuations in its price contribute to making its trade
risky. Market Prediction of the cryptocurrency is trending because it
can reduce the trade loss risk. Data related to this market is vast and
publicly available on the internet. It is nearly impossible to infer the
market by simple data analysis. Statistical price prediction approaches
are less effective due to the absence of seasonality in cryptocurrency
market data. Therefore researchers proposed efficient price prediction
techniques utilizing statistical, algorithmic, and neural network-based
Machine Learning models. This paper provides a detailed literature
survey related to the state-of-the-art Machine learning-based prediction
methodologies for the market prediction of the digital asset from 2014
to 2022. This research will categorize, summarize, and review the
existing research in cryptocurrency market prediction using Machine
Learning classifiers. This paper will benefit researchers to be
productive in the right direction in the future.
Disrupted Gray Matter Structural Networks between Active and Inactive Phases of Thyroid-Associated Ophthalmopathy
Authors: Li Dongmei , Luo Lihua , Wen Hongwei , Gao Lixin
Published: January 2023

Patients with thyroid-associated opthalmopathy reportedly exhibit
widespread morphological abnormalities in attention and default mode
network areas, but alterations in coordinated patterns of brain
structural networks underlying thyroid-associated opthalmopathy are
still poorly understood. This study aims to investigate the disruptions
in gray matter structural networks between thyroid-associated
opthalmopathy patients in active and inactive phases. We constructed
subject-wise structural networks based on gray matter volumetric
features for 37 active and 35 inactive thyroid-associated opthalmopathy
patients, and 23 healthy controls. Graph theory analysis was conducted
to assess the alterations of global and regional network topological
properties for thyroid-associated opthalmopathy patients and their
correlation with clinical characteristics. Compared with inactive
thyroid-associated opthalmopathy patients and controls, active
thyroid-associated opthalmopathy patients showed significantly decreased
global/local efficiency, and significant altered nodal betweenness
centrality in the visual, attention, default mode network and
sensorimotor areas. Intriguingly, the betweenness centrality of left
lingual gyrus was significantly negatively correlated with bilateral
intraocular pressure, and medial superior/opercular inferior frontal
gyrus was significantly correlated with anxiety and depression
parameters. Our results suggest that thyroid-associated opthalmopathy
patients at different clinical stages have segregated disruptions in
gray matter network topology, which may due to the visual function and
psychological changes. These findings may provide new insights into the
neurobiological mechanisms of thyroid-associated opthalmopathy.
Cell death mediated by nanotechnology via the cuproptosis pathway: a novel horizon for cancer therapy
Authors: Wei Chuang , Fu Qinrui
Published: January 2023

Cuproptosis, the current form of regulated cell death characterized by
copper overload, oligomerization of lipoacylated proteins, and loss of
the Fe-S cluster proteins, has been proposed to function closely with
human diseases including cancer. Since the first identification in 2022,
a wide range of strategies have been developed to induce cuproptosis for
cancer therapy, such as small-molecule drugs and nanomaterials. Although
many reviews related to cuproptosis have been reported, they remain at a
basic mechanism level and a summary covering recent progress in the
field of nanotechnologies in cuproptosis-based cancer therapy has not
yet been presented. Therefore, it is time to fill the gap and shed light
on future directions for the application of this promising tool to fight
against cancer. In this minireview, we first expounded the mechanism of
action of cuproptosis and emphasized the feasibility of triggering
cuproptosis for cancer therapy. The recent progress of cancer treatments
based on nanoparticle-induced cuproptosis was then described. Finally,
the challenges and future development directions of the emerging field
of cuproptosis were also discussed.
STAIR Narrative Therapy for Complex Posttraumatic Stress Disorder: Treating Sexual and Gender Minority Trauma
Authors: Cloitre Marylene
Published: January 2023

Complex PTSD (CPTSD) is a new diagnosis in the World Health Organization
(WHO)’s International Classification of Diseases (ICD-11). This case
study describes the delivery of Skills Training in Affective and
Interpersonal Regulation and Narrative Therapy (SNT), a flexible,
multi-component therapy that addresses the symptoms of CPTSD. SNT
balances interventions that address current day stressors with those
that reappraise the meaning of traumatic past events. This paper
outlines 16 sessions of SNT with a 55-year-old gay man. The treatment
introduces client tailored coping skills for current minority stress,
discrimination and micro-aggressions as well as trauma-focused
interventions regarding events from his childhood and the death of his
partner and many members of his community due to the AIDS epidemic.
Qualitative and quantitative outcomes are summarized. Implications
regarding the relevance of SNT for sexual and gender minority (SGM)
individuals is discussed.
Comparison study of electrooxidation and photo-electroxidation for the treatment of solutions containing Acid Blue 9 dye
Authors: Serrano K.Groenen , Zejli H. , Brychy R. El , Rguiti M.M.
Published: January 2023

The objective of this study is to investigate the contribution of light
energy in the electrochemical oxidation treatment of a solution
containing a model molecule, Acid Blue 9 dye (AB 9) using a low-cost
electrode elaborated by electrodeposition from a lead salt. The
elaboration procedure and the characteristics of the obtained Ti/b−PbO
electrode are given in the supplementary information.
First, electrolysis and I-E curves were performed in order to determine
the best conditions for dye removal and mineralization. Then the effect
of illumination is studied.
An Egg & Chicken Paradox: Are changes in the Basal ganglia volume the reason for or the result of Schizophrenia?
Authors: Yesilkaya umit , Sen Meltem , Yuzbasıoglu Neslihan , PENÇE Kadriye , Karamustafalioglu Nesrin
Published: January 2023

Magnetic resonance imaging (MRI) studies have demonstrated differences
in the subcortical structure of schizophrenia patients compared to
controls; nonetheless, it is not clear whether these changes are reason
for or the result of schizophrenia (SZ). We aimed to investigate whether
the basal ganglia volume was different in medication- naïve first
episode schizophrenia patients. Seventy-one drug-naïve patients with
first-episode psychosis (FEP) who applied to outpatient clinics and were
diagnosed according to DSM-5 as well as 47 healthy controls (HC) were
included in the study (n=118, 64 males, 54 females). T1-weighted images
were acquired on a 1.5 T scanner (Magnetom SP, Siemens), and the basal
ganglia volume was measured using the VolBrain software. Symptoms were
assessed with the Positive and Negative Syndrome Scale (PANSS) by an
experienced psychiatrist. The volumes of right (R) and left (L)
striatum, R- and L-caudate (CAU), and R- and L- Substantia nigra (SN)
were found to be higher in FEP patients compared to the HC. The volume
of L-putamen was higher, while that of the L- Globus pallidus (GP) and
L-nucleus accumbens (NAcc) was smaller in FEP patients compared to HC.
No significant correlation was found between volume measurements and
PANSS scores. R-CAU, L-CAU, R-Striatum, L-Striatum, L-Putamen, L-NAcc,
R-GP and L-SN were found to significantly predict psychosis in a
Univariate Logistic Regression Model. Basal ganglia are affected from
the first stage of the disease in schizophrenia, and it can be more
possible that these changes are the result of pathogenesis
schizophrenia.
Active Temperature Control in Photoelectrochemical Measurements - Metrology for Artificial Photosynthesis
Authors: Hagendorf Christian , Adner David , Pohl Max
Published: January 2023

The temperature has a large impact on the rate of a chemical reaction.
For photoelectrochemical water splitting it has been shown that the
photocurrent of a tungsten oxide anode increases by 64 % in a
temperature interval of 25 to 65 °C.

Photoelectrochemical cells are usually not equipped with systems for
active temperature control. This limits the reliability of
measurement data, especially for long measurements under illumination
(e.g., impedance spectroscopy). Insufficient comparability of materials
is an obstacle for development and application of photoelectrochemical
modules.
Closed-Loop Agriculture System Meta-Research Using Text Mining
Authors: Zhao Benzhong , Ragany Michelle , Haggag May , El-Dakhakhni Wael
Published: January 2023

A growing global population and climate change threaten the availability
of many critical resources, and they are directly impacting the food and
agriculture sector. Therefore, new cultivation technologies must be
rapidly adopted and implemented to secure the world’s food needs.
Closed-loop greenhouse agriculture systems provide an opportunity to
decrease resource reliance and increase crop yield. Greenhouses provide
versatility in what can be grown and the resources required to function.
Greenhouses can become highly efficient and resilient through the
application of a closed-loop systems approach that prioritizes
repurposing, reusing, and recirculating resources. Here, we employ a
text mining approach to research the available research (meta-research)
and publications within the area of closed-loop systems in greenhouses.
This meta-research provides a clearer definition of the term closed-loop
system within the context of greenhouses, as the term was previously
vaguely defined. Using the meta-research approach, we identify six major
existing research topic areas in closed-loop agriculture systems, which
include models and controls, food waste, nutrient systems, growing
media, heating and energy. Furthermore, we identify four areas that
require further urgent work, which include the establishment of better
connection between academic research to industry applications, clearer
criteria surrounding growing media selection, critical operational
requirements of a closed-loop system, and the functionality and synergy
between the many modules that comprise a closed-loop greenhouse system.