bluuebunny/crossref_metadata_2025 huggingface dataset:
Cognitive-stylistic aspect of nomination occasional words as means of lexical deviation in a poetic text
Authors:   Uzbekistan State University of World Languages, Dzhusupov Nursultan M.
Published: December 2023

The article presents a cognitive stylistic analysis of occasionalisms (nonce words) as tools of lexical deviation in the text of the poem “First Day at School” by the modern English poet R. McGough. According to the methodology developed for analyzing foregrounding devices, examples of occasionalisms in a text reflect the processes occurring both at its surface and deep (cognitive) levels. In this regard, occasionalisms are viewed through the prism of the interconnectedness of their external attractive and implicit conceptual features, which help reflect the cognitive stylistic features of the foregrounding process. Occasionalisms confirm that the individual authorial specificity of lexical deviation is manifested on the basis of the interaction and complementarity of a non-standard external linguistic form and the activation of cognitive processes and mechanisms. The research results indicate that lexical deviations (occasionalisms) as the effective foregrounding devices are determined by the cognitive principles underlying their formation and projection of mental spaces, which provide the breadth and depth of cognitive structures’ representation and their key role in creating attractive (stylistic) potential of the foregrounding process as a whole.
Geoética e cultura geológica
Authors: Peppoloni Silvia , Di Capua Giuseppe
Published: December 2023

[Tradução de: Peppoloni S. and Di Capua G. (2012). Geoethics and geological culture: awareness, responsibility and challenges. Annals of Geophysics, 55, 3, 335-341, doi: 10.4401/ag-6099. Tradutora: Renata Augusta Azevedo, UFMG]

O debate internacional no campo da geoética se concentra em algumas das mais importantes emergências ambientais, enquanto destaca a grande responsabilidade dos geocientistas, independentemente do campo de atuação, e a grande repercussão social, cultural e econômica que suas escolhas tem na sociedade. As conferências Geoitalia 2009 e 2011 em Rimini e Turin, respectivamente, organizadas pela Federação Italiana de Ciências da Terra (Italian Federation of Earth Science), foram dois importantes momentos para a promoção da geoética na Itália. Estas foram devotadas a ressaltar como e com quais ferramentas e conteúdos podem os geocientistas contribuir para a renovação cultural da sociedade. Da mesma forma, abordaram o papel do geocientista na disseminação da informação científica, contribuindo dessa forma para a correta construção do conhecimento social. Geologia é cultura e, como tal, pode ajudar a dissipar equívocos e estereótipos culturais que abrangem fenômenos naturais, desastres, recursos e gestão territorial. A cultura geológica é constituída por métodos, metas, valores, história, maneiras de pensar sobre a natureza e sensibilidade para abordagem de problemas e suas soluções. Logo, a geologia tem que determinar valores de referência, como pré-requisitos indispensáveis para geoética. Juntos, cultura geológica e geoética, podem fortalecer a ligação que fixa pessoas ao seu território e podem ajudar a encontrar soluções e respostas para alguns importantes desafios nos próximos anos, destacando riscos naturais, recursos e mudança climática. A partir dessas considerações, salientamos a importância de critério ético para cientistas da Terra, para focar sua atenção na questão da responsabilidade dos geocientistas e na necessidade de maior clareza na definição de sua identidade científica e do valor de suas especialidades.
Uso e ocupação da terra na planície do Rio Atibaia, Campinas, SP
Authors: Muraro Luis Eduardo de Oliveira , Pereira Sueli Yoshinaga , Pereira Paulo Ricardo Brum
Published: December 2023

Introdução e Objetivos. A planície do rio Atibaia é limítrofe de Paulínia, Jaguariúna e Campinas, com aptidões socioeconômicas e usos diferenciados. A caracterização do uso e ocupação da terra em área de risco hidrológico foi a proposta desta pesquisa. Metodologia. A análise cartográfica, de imagens de satélites e de trabalhos de campo resultaram na definição de classes e subclasses de uso da terra. Resultados. Consoante com planos diretores municipais e o cenário atual, Jaguariúna apresenta zonas urbana e de expansão, industrial e mineração; em Campinas, a planície é considerada Macrozona de Relevância Ambiental, porém com presença de diversos usos, e Paulínia a considera uma zona industrial de grande porte. Conclusão. A presença mista de grandes fazendas, de áreas urbanas e em urbanização (condomínios e moradias simples), chácaras, sítios e extensas áreas com cultivos de cana-de-açúcar, grandes sistemas de tratamento de efluentes e mineração é resultado de vários momentos históricos e, hoje, de periurbanização. Assim, a gestão da área deve considerar a história de ocupação e a população local, baseada na realidade social, econômica e institucional brasileira.
CRITICAL DISCOURSE ANALYSIS: DONALD TRUMP SPEECH BROUGHT THE U.S. TO PANDEMIC PREVENTION FAILURE
Authors: Arif Lalu Mochamad , Muhid Abdul , Hastuti Hilda
Published: December 2023

This research focuses on Donald trump’s speech on preventing COVID-19 at White House Conference on May 18, 2020. His speech was about the suggestion on taking hydroxychloroquine which known as an anti-malaria. The method used in this research is mix method, as the data displayed using description and numbers and the analysis data of this research uses critical discourse theory by Fairclough, and meta function within systematic functional linguistic proposed as the tool to scrutinized the object of the research through transitivity analysis, modality analysis, and textual analysis. As for the result of the research shown that (1)the most process used by trump is material process; (2)mental process, in which becomes the reason of the audience has unconsciously followed the irresponsible suggestion by Trump; (3)modality analysis shows that Trump rarely used modal verb; (4) textual analysis shows that Donald Trump’s speech has been delivered coherently and transitivity analysis found two the new process forms, both processes are  existential process + relational process and relational process + existential process.
Knowledge, Attitude, and Practice of Medical Students About Medical Research in Mansoura University, Egypt
Authors: MARHOON Sara , ELMETWALY Miada , ABD EL-AZİZ Asmaa , ELSAYYAD Ahmed , EL-GİLANY Abdel-hady
Published: December 2023

Abstract

Objectives: Medical students are the bright future researchers and giving priority to their early research experiences will have its remarkable effect on research evolution. Recent advances in medical fields are challenging and increase the importance of attracting new researchers. This study describes knowledge, attitude, practice, and barriers to participation in research among undergraduate medical students.

Methods: This is a cross-section study on 260 medical students. Data collected included: knowledge about research (nine multiple questions); attitude towards medical research (eight questions); practice of research (five questions) and barriers against participation in research (nine questions).

Results: Some aspects of research knowledge were affected by students’ sex, previous year grade, academic phase, and premedical school type. About 44.6% gave right answers about parts of scientific papers. Academic phase medical students had better research knowledge than clinical phase students. More than 80% of study participants agree on the importance of being oriented about clinical research methodology. Lack of time was the most addressed barrier against participation in research projects by the students (50.5% of clinical phase students).

Conclusions: Raising students’ awareness about the importance of research, improving students’ attitude, and removing barriers could improve their participation and experience in research.
PENGAPLIKASIAN ABU PURUN TIKUS (Eleocharis dulcis) UNTUK MEMPERBAIKI pH AIR ASAM
Authors: Iswahyudi Herry , Vina Vina
Published: December 2023

Water is a component that is needed by all living things, both humans, animals and plants, namely as a medium for transporting food substances, a source of energy and various other needs. In this study purunrat ash was used as a neutralizer for acidic river water in Tanipah Village, Mandastana District, Barito Kuala Regency. This study aims to determine the processing of rat purun ash and determine the pH values of water before and after purun rat ash is applied. The treatment given to each water sample was 8 treatments consisting of M0 (control/without treatment), M1 (rat purun ash 0.1 g/400 ml water), M2 (rat purun ash 0.2 gr/400 ml water), M3 (rat purun ash 0.3 gr/400 ml water), M4 (mouse purun ash 0.5 gr/400 ml water), M5 (rat purun ash 1 gr/400 ml water), M6 (rat purun ash 2 gr/400 ml water), M7 (rat purun ash 3 gr/400 ml water). The results obtained were that the best treatment in neutralizing the pH of acidic water was M3 (0.3 g rat purun ash/400 ml of water) capable of raising the pH of the water to 7, as much as 1.4 with an initial pH value of 5,6.
The Application of STEAM Education in CLIL--A Case Study of Halloween Jack-O'-Lantern
Authors: Lai Yi-Ping
Published: December 2023

In recent years, there has been a promotion and emphasis on CLIL (Content and Language Integrated Learning) and STEAM (Science, Technology, Engineering, Arts, and Mathematics) education. The integration of interdisciplinary concepts and applications in English classrooms has brought new value and significance to English teaching. This study aims to investigate the students’ perceptions by STEAM-Integrated CLIL instruction into English Classroom, a Halloween Jack-O-Lantern as an example. The participations were eight freshman students from different department in a university in central of Taiwan. Through a survey, the research aims to analyze different aspects of STEAM and assess the effectiveness of English learning outcomes. The results indicated that the students were satisfied with the application of STEAM education in CLIL instruction in English classroom.
A Very Late Partial English Immersion Program An Alternative Program For Indonesian University
Authors: Dewi Anita
Published: December 2023

This paper is focused on the establishment and improvement of an immersion program at Indonesian tertiary level of education. Considering internal and external factors such as economy, socio-culture, and politics, it is argued that such a program is needed. Beginning with the rationale of bilingual education program, the discussion will continue on the current situation as the background, the issues and implications, the proposal, and the possible implementation plan of an immersion program.English is proposed as the target language in the program considering its being the language of knowledge, the language of global job markets, the language of information and technology dissemination, and the language of politics and socio-culture around the globe. However, due to several contextual reason, among which are the government policy and resource availability, the application cannot be in the form of a full immersion program. These considerations play important roles in determining the feasibility and the implementation of the program. Adjusting to the situation and local context, the application is proposed to be a very late partial English immersion program.
Rat protiv "carstva laži": moralno-eshatološki vidik u geopolitičkoj misli Aleksandra Dugina i Putinova "specijalna vojna operacija"
Authors: Buzar Stipe
Published: December 2023

Predmet rada je odnos Putinova opravdanja rata u Ukrajini, kao i njegovih vanjskopolitičkih i geopolitičkih stavova, s geopolitičkom misli ruskog filozofa Aleksandra Dugina. Od početka "specijalne vojne operacije" u veljači 2022. godine pobuđen je dodatni interes za razumijevanjem Duginovih geopolitičkih stavova i ruske svjetsko-povijesne misije, tj. njegova euroazijanizma, zbog čega je već ranije kontroverzni "Putinov mozak" postao čitano štivo zainteresiranih zapadnih javnosti. Dok su paralele između Duginovih tvrdnji i Putinovih, kao i uopće kremaljskih izjava zapanjujuće, u radu se nastoji prikazati njihova ideološka povezanost, radije nego li ikakav osobni utjecaj među njima. Cilj rada je filozofskog karaktera, a sastoji se u isticanju moralno-eshatoloških karakteristika Duginove geopolitičke misli i kritike Zapada, kao i njima komplementarnih karakteristika Putinova opravdanja rata u Ukrajini. Nakon toga, nudi se njihova kritika u svjetlu odnosa Duginova geopolitičkog i eshatološkog determinizma s jedne strane, i s druge strane, njegova zanemarivanja slobode djelovanja i odlučivanja koje su tim determinizmom isključene, a koje su nužni uvjet njegove moralne kritike Zapada.
Ženski mir
Authors: Cvijanović Hrvoje
Published: December 2023

Autor polazi od Aristofanove Lisistrate kao paradigmatskog antiratnog teksta ‎ženske politike otpora, no preispituje njeno čitanje kao feminističke kritike ‎rata te kao kritike atenskog imperijalizma. Prvo, autor ističe da ženska politika otpora kroz seks-štrajk i okupaciju javnog prostora nije nužno povezana ‎s antiratnim uvjerenjima, već proizlazi iz zaštite “ženskog svijeta” privatnih ‎odnosa i domaćinstva. Drugo, “ženski mir” kojim se satirizira atensko vodstvo ima antidemokratski predznak i nije kritika atenskog imperijalizma, već‎njegova obrana. Na kraju, u analogiji s Lisistratom, propituje se ruski ženski ‎aktivizam kao reakcija na ruske agresivne ratove u Čečeniji i Ukrajini. Taj ‎aktivizam primarno polazi od majčinstva kao legitimnog oblika artikuliranja ‎problema rata, ali ne dovodi rat u pitanje. Autor zaključuje da takav ženski aktivizam koji proizlazi iz racionalnosti brige za dobrobit djece i muževa, bilo ‎u Lisistrati bilo onaj koji se većinski manifestira kod ruskih majki i žena, nije ‎politički i vrijednosno utemeljen te ne artikulira koherentne antimilitarističke ili pacifističke stavove, pa stoga nije uistinu antiratni. U kontekstu Rusije, ‎svojim zahtijevanjem boljih uvjeta muškarcima u vojsci majčinsko-ženski aktivizam zapravo je strategija za optimizaciju rata, bitno se ne suprotstavljajući ‎ruskim državno proklamiranim ratnim ciljevima ili ih čak podržavajući.‎
Formulating a Community-Centric Indicator Framework to Quantify One Health Drivers of Antibiotic Resistance: A Preliminary Step towards Fostering ‘Antibiotic-Smart Communities’
Authors: Mathew Philip , Chandy Sujith J , Sivaraman Satya , Ranjalkar Jaya , Ali Hyfa Mohammed , Ranganathan Raghini , Thomas Shruthi Anna
Published: December 2023

Antibiotic Resistance (ABR) is increasing the mortality and morbidity associated with infectious diseases, besides increasing the cost of healthcare, saturating health-system capacity, and adversely affecting food security. Framing an appropriate narrative and engaging local communities through ‘One Health’ approach is essential to complement the top down measures. However, the absence of objective criteria to measure the performance of ABR interventions at community settings make it difficult to mobilize interest and investment for such interventions. An exercise was therefore done to develop an indicator framework for this purpose. An exhaustive list of indicators was developed from experiences gathered through community engagement work in a local panchayat (small administrative area) in Kerala, India, and a consultative process with health, veterinary, environment, and development experts. A prioritization exercise was done, looking at appropriateness, feasibility and validity, by global experts on ABR. A 15-point indicator framework was designed based on the prioritization process. The final set of indicators covers human health, animal health, environment management and Water Sanitation and hygiene (WASH) domains. The indicator framework was piloted in the panchayat(located in Kerala), which attained a score of 34 (maximum 45). The score increased when interventions were implemented to mitigate the ABR drives, indicating the framework is sensitive to change. Simultaneously, the indicator framework was tested in four sites from three other Indian states with different socioeconomic and health profiles, yielding different scores. Those collecting the field data were able to use it with minimal training. To conclude, this indicator framework can help policymakers broadly understand the factors contributing to ABR and measure the performance of interventions they choose to implement in the community
Seepage Actions and Their Consequences on the Support Scheme of Deep-Buried Tunnels Constructed in Soft Rock Strata
Authors: Frenelus Wadslin , Peng Hui , Zhang Jingyu
Published: December 2023

The stability of deep soft rock tunnels is of particular concern under seepage conditions. Aiming at thoroughly discussing the seepage actions and their consequences on the support scheme of such structures, the host rocks of the Weilai Tunnel situated in Guangxi province of China are taken as the research substance. Emphasizing on seepage conditions, stresses, displacements and plastic zone radii along the surrounding rocks of such tunnel are adequately examined taking into consideration the Mogi-Coulomb strain criterion and the elastic-plastic theory. Subsequently, based on strain-softening model, the coupled actions of seepage and softening on the rocks surrounding the tunnel are studied. According to the results, it is revealed that the support scheme of deep soft rock tunnels must be of highest resistance possible to better decrease the plastic zone and the tangential stress along the host rocks. Moreover, throughout the surrounding rocks, the dissemination of pore water pressure is strongly affected by the uneven permeability coefficient under anisotropic seepage states. Combined effects of softening and seepage are very dangerous for the surrounding rocks of deep-buried tunnels. To better guarantee reasonable longevity of such tunnels, long-term monitoring of their support structures with reliable remote sensors is strongly recommended.
Perception and Use of E-Collaboration by Postgraduate Students in Nigeria Universities
Authors: Tella Adeyinka
Published: December 2023

Collaboration in the Nigerian context has focused majorly on traditional collaboration and not even among postgraduate (PG) students. Advancement in technology has ushered many changes, particularly the introduction of numerous e-tools for collaboration. It is based on this that the study examined the perception and use of e-collaboration by postgraduate students in Nigeria Universities. The study adopted a survey design using a questionnaire to collect data from 631 postgraduate students selected across ten universities in South-West Nigeria. Six objectives were developed to guide the study. The results revealed that e-collaboration is perceived by postgraduate students as a collaboration among individuals engaged in a common task using electronic technologies. E-collaboration is used mostly for projects and research and it is impactful in providing opportunities to interact better than face- to-face collaborative activities. The study revealed electronic mail, social media including (Facebook, Twitter, and WhatsApp), discussion forums and Google documents as the tools most significantly used for e-collaboration. The reasons why respondents use e-collaboration include flexibility, availability, and compatibility with cell phones. The level of awareness about the ethics of e- collaboration is reported to be too low. However, a small percentage were aware that participation in decision-making and the sharing of blame and credit for outcomes is the responsibility of all members. Challenges faced by PG students in their e- collaboration efforts are power failure, lack of trust, and poor internet connection and speed. It is recommended that more awareness of e-collaboration should be promoted and coupled with improved internet connectivity. 
Cytotoxic Activities, Determining Toxin, and Molecular Docking of Ovary Pufferfish (Tetraodon leiurus) in Singkarak Lake as Cancer Chemoprevention Candidate
Authors: Roesma Dewi Imelda , Tjong Djong Hon , Hanif Monica Mulnia
Published: December 2023

The primary toxin class discovered in freshwater pufferfish is a category of neurotoxins called PSTs (Paralytic shellfish toxins) and pufferfish toxin has been observed to have biological, biochemical, and cytotoxic effects on cancer cell lines. Therefore, it is crucial to determine the cytotoxic activity, toxins present in the ovary of T. leiurus, and interaction between ligand (toxin compound) and receptors test. This study used the MTT method in the T47D cell lines, liquid chromatograph-tandem mass spectrometry (LC-MS/MS), and analysis of the molecular interaction using molecular docking. The ovary of T. leiurus had cytotoxicity on the T47D cell, having an IC50 value of 229.535 μg/ml, and generated a chromatogram with a retention duration of 1.25 min that was similar to the Decarbamoylneosaxitoxin (dcNEO) standard solution. In molecular interactions between the dcNEO ligand to receptors, the lowest ΔG value was -9.29 kcal/mol at the Nav 1.7 receptor, and the lowest KI value was 1.23 µM at the Mcl-1 receptor. These findings indicate that the ovary of T. leiurus is cytotoxic to the T47D cell line and contains dcNEO toxin. It is more stable for the dcNEO ligand to engage with the Nav 1.7 receptor than with other receptors, and it inhibits the Mcl-1 receptor more potently than with other receptors. These findings indicate that the ovary of T. leiurus may be chemotherapy for the prevention of cancer strategy.
Purification and characterization of L-asparaginase produced from Bacillus sp.
Authors: H. Sahar I. , H. Zaid A. , A. Milad
Published: December 2023

The objective of this study was to isolate and identify the asparaginase-producing bacteria, then purify and characterize the enzyme in order to investigate their properties in the future. Fifteen local bacterial isolates were isolated from various sites in the city of Baghdad, identified by conventional morphological and biochemical procedures, and confirmed using vitek 2 methods, and submitted to primary screening processes for asparaginase production. For secondary screening, eight isolates with the greatest yellow zone ability on a specific solid medium were chosen. Bacillus sp. was reported to have the highest enzyme production (7.5 U/mg proteins). After 24 hours of incubation, submerged fermentation yielded optimal conditions for the production of L-asparaginase (L-ASNase) by the chosen isolate, with medium (2) serving as the optimal medium for production and fructose serving as the optimal source of carbon. In pH 6 at 40°C, Sephadex G-150 gel filtration chromatography was used to purify the enzyme. The final purification folds were increased by 2.5 times, resulting in an enzyme yield of 93.7%. It also showed the highest purified enzyme activity and stability was at 37°C. Also it revealed the highest activity and stability at pH 7.0 and pH 8.0 respectively. Enzyme lost activity when exposed to several metallic ions at concentrations of 1, 5, and 10 mM.
Enhancing Smart Cities with IoT and Cloud Computing: A Study on Integrating Wireless Ad Hoc Networks for Efficient Communication
Authors: Abdulhadi Haider Mohammed , Aldeen Yousra Abdul Alsahib S. , Yousif Maryam A. , Jaseem Mays jalal , Madni Syed Hamid Hussain
Published: December 2023

Smart cities have recently undergone a fundamental evolution that has greatly increased their potentials. In reality, recent advances in the Internet of Things (IoT) have created new opportunities by solving a number of critical issues that are allowing innovations for smart cities as well as the creation and computerization of cutting-edge services and applications for the many city partners. In order to further the development of smart cities toward compelling sharing and connection, this study will explore the information innovation in smart cities in light of the Internet of Things (IoT) and cloud computing (CC). IoT data is first collected in the context of smart cities. The data that is gathered is uniform. The Internet of Things, which enables gadgets to connect with one another mostly without human involvement, is made possible by AI. In line with this, The Ad Hoc Routing Function (ARF) AI computation is used for multi-rule simplification, the use of Adaptive Cloud Computing Virtual Machine Asset Allotment Technique (ACC-VMRA) is advised. To confirm its viability, the applied developments of IoT and CC in smart cities is examined and duplicated. The experiment results show that the recommended enhancement calculation is more productive than other currently used methods.
A Novel Water Quality Index for Iraqi Surface Water
Authors: Aljanabi Zahraa Z. , Al-Obaidy Abdul-Hameed M. Jawad , Hassan Fikrat M.
Published: December 2023

The study aims to build a water quality index that fits the Iraqi aquatic systems and reflects the environmental reality of Iraqi water. The developed Iraqi Water Quality Index (IQWQI) includes physical and chemical components. To build the IQWQI, Delphi method was used to communicate with local and global experts in water quality indices for their opinion regarding the best and most important parameter we can use in building the index and the established weight of each parameter. From the data obtained in this study, 70% were used for building the model and 30% for evaluating the model. Multiple scenarios were applied to the model inputs to study the effects of increasing parameters. The model was built 4 by 4 until it reached 17 parameters for 10 sampling times. Obviously, with the increasing number of parameters, the value of the index will change. To minimize the effect of eclipse that arises in WQI and to solve the problem of overlapping quality and pollution, this study has created another index linked with IQWQI, which included both the quality and the degree of pollution. The second index is called the Environmental Risk Index (ERI), where only the variables that exceed the permissible environmental limits were included. Sensitivity Analysis was done to predicate IQWQI and to determine the most influential parameters in the IQWQI score; two types of models were chosen for the run of the sensitivity test, which are the Artificial Neural Network Regression (ANNR) and Backward Linear Regression (BLR). The results of IWOI and ERI for freshwater use during the dry season were very poor water quality with a high degree of risk. While in the wet season, both indices' values ranged from poor water quality to very poor water quality with a high degree of risk.
Divulgando o curso superior bacharelado em agronomia do IFSC Canoinhas no Planalto Norte Catarinense
Authors: Würz Douglas André , Schick Jefferson , Vieira Luis Carlos , William Petrentchuck Lauro , De Castro Santos Carolina , Pereira Paes João Paulo , Benedetti Eliziane Luiza , Melo Pereira Lais Fernanda
Published: December 2023

Verifica-se grande demanda em realizar ações de divulgação do Curso de Agronomia com a comunidade externa do Planalto Norte Catarinense. Diante desse cenário, os docentes do Curso Superior Bacharelado em Agronomia do Instituto Federal de Santa Catarina – Campus Canoinhas – submeteram e executaram o projeto de extensão intitulado “Divulgando o Curso Superior Bacharelado em Agronomia no Planalto Norte Catarinense”, tendo por objetivo realizar relato de extensão das atividades e das ações desenvolvidas durante a execução deste projeto. Realizou-se visitação em escolas de ensino médio para divulgação do Curso, além de divulgação com os Terceiros anos do Ensino Médio Integrado em Edificações e Alimentos do IFSC Canoinhas. Além das visitas nas escolas, durante a Semana Nacional de Ciência e Tecnologia, realizada no campus Canoinhas em outubro de 2022, sob a coordenação dos docentes que atuam no Curso de Agronomia, foram oferecidas diversas oficinas e palestras para a comunidade interna e externa. Também ocorreu entrevista em rádio de abrangência regional, e divulgação na praça central de Canoinhas/SC, durante o evento Caravana cultural. Com a realização do projeto de extensão foi possível desenvolver e executar diferentes ações de divulgação do Curso de Agronomia do IFSC Canoinhas, com destaque para visitas em escolas, para palestras e para oficinas realizadas no IFSC, para entrevista em rádios e para distribuição de folders.
Computação na escola
Authors: Alexandrini Fábio , Taioque Greghi Felipe , Machado Reis Daniel
Published: December 2023

A inserção dos adolescentes no conhecimento tecnológico tem sido cada dia mais necessário, não somente por conta da pandemia, mas por vivermos em um mundo globalizado aonde torna-se imprescindível o conhecimento básico de informática. Tendo em vista essa necessidade foram ensinados os alunos dos 8o e 9o anos das Escolas Estaduais de Educação Básica Henrique Da Silva Fontes, Willi Hering e Luís Ledra em Rio do sul. Por meio do projeto Computação nas Escolas que utiliza a plataforma de programação básica Scratch, para a criação de animações e jogos lúdicos que buscam causar interesse, para quem sabe formar novos profissionais nas áreas digitais, que é um mercado em grande ascensão na atualidade. Nas aulas também são utilizados filmes com temas que abrangem o aspecto social por trás da tecnologia com a finalidade de gerar debates acerca do assunto. Tudo isso, construiu-se um resultado positivo, pois com esse projeto acabou gerando o primeiro contato de muitos alunos com tais tecnologias, e muitos criaram interesse em possivelmente seguir carreira na área de Tecnologia da Informação, cinco deles alias, estão cursando o Técnico de Informática para Internet no Instituto Federal Catarinense (IFC) e possivelmente no futuro a Graduação de Ciência da Computação. Além desses têm-se notícias de outros estudantes cursando em instituições como Serviço Nacional de Aprendizagem Industrial (SENAI) e Serviço Nacional de Aprendizagem Comercial (SENAC) que também oferecem esse curso técnico.
TransitCrowd: Estimating Subway Stations Demand with Mobile Crowdsensing Data
Authors: Vitello Piergiorgio , Fiandrino Claudio , Connors Richard D. , Viti Francesco
Published: December 2023

Traditionally PT demand estimation relies on manual survey-based or, where available, smartcard passenger data. However, transport service providers and authorities make it rarely available to researchers. An additional challenge is the variety of formats and the low granularity in which such data is available. Recently, first steps towards the use of advanced ICT-based data-driven approaches have started to emerge. These new data sources can provide new opportunities for generating more data and insights into transit demand patterns and behaviour. In this paper, we propose a novel data-driven transit demand estimation process, TransitCrowd, and apply it to subway stations. TransitCrowd estimates the passengers entering and exiting each station using as proxy the subway crowdness provided by GPT crowdsensed information often available at sheer scale in any city. TransitCrowd's key component is its one-time calibration process, which creates temporal signatures of the stations based on historical GPT information, and regression-based machine learning and live GPT to predict passenger flows. We assess TransitCrowd's estimation accuracy for two cities across a two-months period, i.e., New York and Washington, showing very promising results for both estimation and real-time prediction of transit flows at subway stations.
Facilitators and Barriers to Vaccination Uptake in Pregnancy: A Qualitative Systematic Review
Authors: Razai Mohammad S , Mansour Rania , Ravindran Kavi , Freeman Samuel , Mason-Apps Charlotte , Morris Joan , Majeed Azeem , Ussher Michael , Hargreaves Sally , Oakeshott Pippa
Published: December 2023

Introduction
Vaccination during pregnancy protects both the mother and the foetus from vaccine-preventable diseases. However, uptake of the recommended vaccines (influenza, pertussis, COVID-19) by pregnant women remains low in Europe and USA. Understanding the reasons for this is crucial to inform strategies to increase vaccination rates in pregnant women. This qualitative systematic review aimed to identify the barriers and facilitators to vaccination against influenza, pertussis/whooping cough and COVID-19 during pregnancy and identify possible strategies to increase vaccination rates.
Methods
We conducted a comprehensive search of electronic databases, including Medline, PsycINFO, CINAHL, Web of Science, WHO database, Embase and grey literature to identify qualitative studies that explored barriers and facilitators to vaccine uptake among pregnant women (PROSPERO CRD42023399488). The search was limited to studies published between 2012 and 2022 conducted in high-income countries with established vaccination programmes during pregnancy. Studies were thematically analysed and underwent quality assessment using the Joanna Briggs Institute validated critical appraisal tool for qualitative research.
Results
Out of 2681 articles screened, 28 studies (n = 1573 participants) were eligible for inclusion. Five overarching themes emerged relating to personal, provider and systemic factors. Barriers to vaccine uptake included concerns about vaccine safety and efficacy, lack of knowledge about vaccines’ benefits and necessity, fear of adverse effects on the foetus or mother and low perception of disease severity. Facilitators included recommendations from trusted healthcare providers, easy access to vaccination, clear communication on the benefits and safety of vaccination, and positive social influences from family and friends. Strategies for increasing vaccination uptake included strong and proactive vaccine recommendations by trusted healthcare professionals, provision of vaccines during routine antenatal care, and clear and consistent communication about vaccines addressing pregnant women’s concerns.
Conclusion
This review highlights the need for interventions that address the identified barriers to vaccine uptake among pregnant women. Provider recommendation can play a significant role in promoting vaccine uptake, as can clear risk/benefit communication and convenient access to vaccination. Addressing concerns about vaccine safety and providing accurate information about vaccines is also important.
Biomarkers predict the efficacy of closed-loop rTMS treatment for refractory depression
Authors: Sajda Paul , Sun Xiaoxiao , Doose Jayce , Faller Josef , McIntosh James , Saber Golbarg , Huffman Sarah , Pantazatos Spiro , Yuan Han , Goldman Robin , Brown Truman , George Mark
Published: December 2023

Transcranial magnetic stimulation (TMS) is a non-invasive FDA-approved therapy for major depressive disorder (MDD), specifically for treatment-resistant depression (TRD). Though offering promise for those with TRD, its effectiveness is less than one in two patients (i.e., less than 50%). Limits on efficacy may be due to individual patient variability, but to date, there are no established biomarkers or measures of target engagement that can predict efficacy. Additionally, TMS efficacy is typically not assessed until a six-week treatment ends, precluding interim re-evaluations of the treatment. Here, we report results using a closed-loop phase-locked repetitive TMS (rTMS) treatment that synchronizes the delivery of rTMS based on the timing of the pulses relative to a patient's individual electroencephalographic (EEG) prefrontal alpha oscillation indexed by functional magnetic resonance imaging (fMRI). Among responders, synchronized rTMS produces two systematic changes in brain dynamics: a reduction in global cortical excitability and enhanced phase entrainment of cortical dynamics. These effects predict clinical outcomes in the synchronized treatment group but not in an active-treatment unsynchronized control group. The systematic decrease in excitability and increase in entrainment correlated with treatment efficacy at the endpoint and intermediate weeks during the synchronized treatment. Specifically, we show that weekly biomarker tracking enables efficacy prediction and dynamic adjustments through a treatment course, improving the overall response rates. This innovative approach advances the prospects of individualized medicine in MDD and holds potential for application in other neuropsychiatric disorders.
Halving nitrogen waste for global sustainable development goals
Authors: Gu Baojing , He Peiying , Zhang Xiuming , Zhang Chuanzhen , Chen Binhui , Wang Sitong , Cheng Luxi , Cui Jinglan , Deng Ouping , Reis Stefan , Masso Cargele , Pradhan Mahesh , Xu Jianming
Published: December 2023

Nitrogen waste poses substantial threats to global sustainable development through multiple pathways, prompting the United Nations (UN) to propose halving nitrogen waste as a means to achieve Sustainable Development Goals (SDGs). However, the pathways and potential to improve global SDGs through halving nitrogen waste are less known. Here we show that nitrogen waste is directly and indirectly linked to all 17 UN 2030 SDGs and that halving nitrogen waste could enhance global SDGs overall by 16%. The total social benefits of halving nitrogen waste could be as high as US$ 1,379 billion, considering improvements in human and ecosystem health and mitigation of climate change. While implementing an evenly halved nitrogen control strategy in systems may cost up to US$ 1,137 billion, adopting cost-effective strategies could slash these expenses by 72%. Our findings provide crucial insights for policymakers and underscore the urgency of developing cost-effective nitrogen waste reduction strategies to achieve global sustainable development.
Constrained Trajectory Optimization and Force Control for UAVs with Universal Jamming Grippers
Authors: Kremer Paul , Nohooji Hamed Rahimi , Voos Holger
Published: December 2023

This study presents a novel framework that integrates the Universal Gripper (UG) with Unmanned Aerial Vehicles (UAVs) to enable automated grasping with no human operator in the loop. Grounded in the principles of granular jamming, the UG exhibits remarkable adaptability and proficiency, navigating the complexities of soft aerial grasping with enhanced robustness and versatility. Central to this integration is a uniquely formulated constrained trajectory optimization using model predictive control, coupled with a robust force control strategy, underpinning enhanced levels of automation and operational reliability in aerial grasping. This paradigm, while simple, is a powerful conduit for various applications, ranging from material handling to disaster response, propelling advancements toward genuine autonomy in aerial manipulation tasks. The key contributions of this research include the introduction of a constrained trajectory planning algorithm, and a force control strategy ensuring robust grasping, validated through numerical simulations and virtual experiments.
Drug Resistance Mutations in the Polymerase Gene of Hepatitis B Virus in Three Generations of Patients with Chronic Hepatitis B
Authors: naderi Malihe , Hosseini Seyed Masoud , Behnampour Naser , Shahramian Iraj , Moradi Abdolvahab
Published: December 2023

Hepatitis B virus polymerase proofreading defects lead to frequent DNA mutations in the hepatitis B virus genome and treatment resistance. This research aimed to investigate drug-resistant mutations in three generations of chronic hepatitis B patients. Based on the inclusion criteria, 90 HBV patients in northeastern Iran were divided into three groups. HBV DNA, liver function tests, serological markers, and liver stiffness measurements were also evaluated. Polymerase gene sequencing was used to identify mutations linked with resistance to NAs. P-values less than 0.05 were used to statistical significance. All samples were genotyped as genotype D/subtype ayw2. HBeAg was detected positive in 12.3% of samples, viral loads (P-value = 0.02) and LFT (P-value = 0.007) considerably higher than HBeAg-negative. YMDD, YINN and FLMAQ mutations were found in 26.7%, 4.5% and 5.5% of CHB patients, respectively. YIDD and FLIPH mutations occur together in 3.4% of three generations and 10% of two generations of patients. The three-generation group had a greater mean LSM (4.2 ± 1.6 KPa) than the other groups. Detection of mutations is critical for physicians to make decisions about antiviral medication selection and management. These results imply that polymerase resistance mutations in three and two generations of patients should be investigated before beginning the antiviral medication.
Residual Partial Derivative Multilayer Perceptron Deep Learning Based Classifier for Lung Cancer Detection
Authors: Padmanandam Kayal , Khilar Rashmita , Pitla Nikitha , Dhanaraj Rajesh Kumar , Pamucar Dragan , Balusamy Balamurugan
Published: December 2023

Lung cancer is a significant and frequent types of cancer globally both in patients and mortality rate. Computed Tomography (CT) test is efficient for early lung cancer detection due to potentiality in constructing lung images, generating nodules both in high resolution and tumor detection. But, early detection of lung cancer is obtained as difficult and time-consuming task. Also, detection of pulmonary nodules is a main method for early detection of lung cancer that can even heavily improve survival rate of lung cancer patients by reduced mortality rate to better level. Moreover, correct precision and incorrect detection of positive cancerous cell for lung nodules is both low and high. A lung cancer detection method using deep learning called, Residual Neural and Partial Derivative Multilayer Perceptron (RN-PDMP) is proposed. Initially the aid of lung cancer images acquired from IQ-OTH/NCCD Lung Cancer Dataset addresses class imbalance issue, therefore reducing the noise to a greater extent using Cross Entropy Focal Loss-based preprocessing model. Secondly preprocessed images as input, robust features are extracted by means of Census Transformed Residual Neural Network-based feature extraction algorithm. Finally, classification between normal, benign and malignant are made using Partial Derivative Multilayer Perceptron Deep Learning-based Classifier. The performance analysis of results describe to lung cancer detection model based on RN-PDMP integrating Forward Propagation-based Residual Learning has achieved a precision of 99% and recall of 97%. The results are comparatively better than existing methods in RN-PDMP method of lung cancer detection based on Partial Derivative-based back propagation is better recall for small samples and improves true positive pulmonary nodules.
Evaluating Heat Transfer in Electronic Cabinet Applications: An Analytical and Experimental Approach
Authors: Fadavian Hossein , Fadavian Ahmad , Fadavian Heidar
Published: December 2023

In this study, an investigation was conducted into the heat transfer dynamics of electronic cabinets cooled using a vortex tube in two scenarios: without insulation and with insulation. The study was conducted both analytically and experimentally, with the aim of calculating the operational time and operational cycles of a compressor as a vortex tube feeder. The findings of the study reveal that the implementation of insulation leads to a considerable reduction in the time required to cool the electronic cabinet, and the proposed analytical relationships proved to be highly accurate.
Towards carbon neutrality: a study on the spatial spillover effects of FCS in the Yellow River Basin, China
Authors: Ma Mingjuan , Ke Shuifa , Li Qiang
Published: December 2023

Developing forest carbon sinks (FCS) is significant for China to achieve carbon neutrality. The Yellow River Basin is a principal area for China’s energy consumption, and the forest resource distribution of this vast basin is spatially dependent, determining that the development of FCS cannot be separated geographically. Based on the spatial panel data of 69 prefecture-level cities in the Yellow River basin in 1988-2018, firstly, we depict a picture of the spatial-temporal trajectories for FCS variations using geospatial analysis. Secondly, fully considering the economic and geographical attributes of forest resources, we develop a spatial econometrics model to investigate the inter-regional correlations and spatial spillover effects of FCS from the spatial dimension and comprehensively explore the direct and indirect impact of different explanatory variables on FCS. Thirdly, pertinent policy suggestions are put out to serve as a guide for increasing FCS.
Application of drug-coated balloons for coronary artery de novo lesions in non-diabetes patients vs. diabetes patients with good/poor glycemic control
Authors: Lyu Huanran , Chi Runze , Yi Yingfan , Wang Zhengzhong
Published: December 2023

Background: The application of drug-coated balloons (DCBs) for coronary artery disease has attracted increasing attention, as they do not leave any polymorphic matrix residue or do not require implantation. However, only few studies have evaluated this application in patients with coronary artery de novo lesions complicated with diabetes mellitus. This study investigated the application of DCB for coronary artery de novo lesions, as well as determined the prognosis, in non-diabetes patients vs. diabetes patients with good/poor glycemic control.
Methods: Patients with coronary artery de novo lesions and who received DCBs were divided into the no-diabetes group, diabetes group with good glycemic control, and diabetes group with poor glycemic control according to whether they had diabetes and the admission glycated hemoglobin level of diabetes patients. Data of clinical parameters, relevant laboratory tests, and intraoperative percutaneous coronary intervention were collected, and patients were followed up after discharge. The prognosis of the three groups was compared and analyzed.
Results: The incidence of major adverse cardiovascular events was significantly higher in the diabetes poor glycemic control group than in the diabetes good control group and the no-diabetes group (P<0.001). The incidence of target lesion failure was higher in the diabetes poor glycemic control group than in the no-diabetes group (P<0.05).
Conclusion: Diabetes mellitus and poor glycemic control negatively affect the prognosis of patients undergoing DCB for coronary artery de novo lesions. The use of aspirin plus ticagrelor in addition to intensive glycemic control therapy can be a better treatment option.
A MEMS based Real-Time Structured Light 3-D Measuring Architecture on FPGA
Authors: Zhou Wenbiao , Jia Yunfei , Fan Luyao , Fan Gongyu , Lu Fengchi
Published: December 2023

With its its ability to non-contact measure three-dimensional information of objects and its extremely high accuracy advantage in close range, structured light 3-D measurement is widely used in various fields. However, some application scenarios, such as measuring moving objects and performing measurements in confined spaces, impose requirements for high speed and miniaturization in structured light 3-D measurement. Therefore, we propose a real-time structured light 3-D measurement system on FPGA. This system employs a four-step phase-shifting method to compute wrapped phases, complemented Gray code for phase unwrapping, and a cubic polynomial fitting approach for calculating the 3-D coordinates of points. We have proposed the optimized pipeline structure for each module. We have also proposed an optimized on-chip buffer structure to further improve throughput. The 3-D measurement speed of the proposed method can reach 76.9 fps, when the clock frequency is 100 MHz, and the image size is 2448*2048.
Hybrid Quantum Neural Network in High-dimensional Data Classification
Authors: Chen Hao-Yuan , Chang Yen-Jui , Liao Shih-Wei , Chang Ching-Ray
Published: December 2023

The research explores the potential of quantum deep learning models to address challenging machine learning problems that classical deep learning models find difficult to tackle. We introduce a novel model architecture that combines classical convolutional layers with a quantum neural network, aiming to surpass state-of-the-art accuracy while maintaining a compact model size. The experiment is to classify high-dimensional audio data from the Bird-CLEF 2021 dataset. Our evaluation focuses on key metrics, including training duration, model accuracy, and total model size. This research demonstrates the promising potential of quantum machine learning in enhancing machine learning tasks and solving practical machine learning challenges available today.