bluuebunny/crossref_metadata_2025 huggingface dataset:
Major and Minor Complications of Laparoscopic Surgery following Colorectal Cancer Treatment
Authors: Salam Md. Abdus , Haque Md Ekramul , Mallick Mithun Kumar , Siddiq Md. Erfan , Rahman Mizanur , Masum Mahmudul Hasan , Islam Muhammed Najibul , Rahman Mohammed Ashrafur
Published: November 2024

Background: Laparoscopic surgery has become a preferred minimally invasive option for colorectal cancer treatment due to its numerous advantages over traditional open surgery. This study aimed to evaluate the short-term outcomes of laparoscopic surgery for colorectal cancer at the National Institute for Cancer Research and Hospital (NICR&H) in Dhaka, Bangladesh. Material & Methods: This was a prospective observational study conducted from September 2018 to October 2019 in the Department of Surgical Oncology at NICR&H. The study included 39 patients diagnosed with colorectal cancer who underwent laparoscopic surgery. Data were collected prospectively from medical records, including demographic information, clinical characteristics, surgical details, and short-term postoperative outcomes. Statistical analysis was performed using SPSS for Windows, with categorical data expressed as numbers and percentages and continuous data as means and standard deviations. Results: The study comprised 23 males (58.97%) and 16 females (41.03%). Most participants had primary education (51.28%) and were housewives (41.03%). A family history of cancer was reported by 25.64% of participants. The most common chief complaint was per-rectal bleeding (48.72%). Colonoscopy findings included ulcer proliferative lesions in 64.10% of patients. The most frequent minor complication was urinary tract infection (30.77%), while surgery conversion (12.82%) was the most common major complication. Other major complications included hemorrhage, respiratory distress, internal hemorrhage, intra-abdominal abscess, acute renal failure, and postoperative mortality, each occurring in 2.56% of patients. Conclusions: Laparoscopic surgery for colorectal cancer in Bangladesh demonstrates significant benefits, including reduced postoperative pain and quicker recovery times, despite certain minor and major complications. These findings support the broader adoption of laparoscopic techniques in similar healthcare settings to improve patient outcomes.
Impact of COVID-19 severity on sleep parameters, exercise tolerance, respiratory muscle strength, pulmonary function, and quality of life: a cross-sectional study
Authors: Nóbrega Júnior Jose Carlos , Jaguaribe de Lima Anna Myrna , Xavier Daiara , Torres Roberta , Formiga Magno , Brandão Daniella , Campos Shirley , Dornelas de Andrade Armèle
Published: November 2024

To investigate the impact of post-COVID-19 infection severity on lung function, exercise tolerance, sleep parameters, and quality of life. A cross-sectional study with 30 individuals (age 44.27±14.88 years; 70% women) affected by COVID-19 (23.37±3.49 months after acute infection) was divided into 3 groups: control, mild, and moderate/severe. Evaluations included: submaximal aerobic capacity, respiratory muscle strength, lung function, sleep parameters and quality of life. The moderate/severe group showed lower results for the predicted percentage of FEV1/FVC (p=0.004) and significant differences in sustained maximum inspiratory pressure (SMIP) and fatigue index (FIT) (p<0.05). They also showed reduced exercise tolerance with shorter walking distances (p<0.001), poorer sleep quality, excessive daytime sleepiness, lower sleep efficiency (p=0.032), longer sleep latency (p<0.001), and more awakenings (p=0.006). Quality of life was reduced in three of the eight domains assessed. Individuals with moderate/severe COVID-19 exhibited impaired pulmonary function, reduced sleep efficiency, more awakenings, and lower quality of life compared to those with asymptomatic or mild cases.
Concepções de adolescentes sobre a influência das redes sociais no consumo de álcool
Authors: Silva Amanda Barbara Rafaeli , Dall’Agnol Denize Jussara Rupolo , Santos Neto Leila , Valerio Pollyana de Siqueira Queiros
Published: November 2024

Os adolescentes são considerados vulneráveis para o consumo de álcool e um dos fatores é a influência das redes sociais. Este trabalho teve como o objetivo analisar a influência das redes sociais no consumo de álcool por adolescentes. Trata-se de um estudo descritivo exploratório de abordagem qualitativa realizado com adolescentes entre 12 a 19 anos de idade, usuários dos serviços públicos de saúde em um município do interior do estado de Mato Grosso/Brasil. A coleta de dados ocorreu no ano de 2021, por meio de entrevistas abertas, gravadas em aparelho digital e transcritas na íntegra pelos pesquisadores até a saturação dos dados. Estes foram analisados conforme a técnica de análise de conteúdo. A partir da organização e análise temática dos dados, surgiram duas categorias, intituladas: “Uso das redes sociais e sua influência para o consumo de álcool por adolescentes” e “As companhias influenciadoras para a experimentação de álcool na adolescência”. A partir dos resultados, considera-se essencial o fortalecimento de estratégias de promoção da saúde, direcionadas aos adolescentes e suas famílias, assim como novas pesquisas que aprofundem a compreensão sobre o consumo de álcool por adolescentes.
Perfil clínico-epidemiológico do paciente renal crônico em tratamento de hemodiálise em Belém-PA
Authors: Sousa Ralrizônia Fernandes , Frazão Andrea das Graças Ferreira , Silveira Cinthia Cristina Sousa de Menezes da , Cunha Katiane da Costa , Santos Valéria Regina Cavalcante dos , Carneiro Irna Carla do Rosário Souza
Published: November 2024

Traçar o perfil clínico-epidemiológico dos pacientes renais crônicos terminais, em tratamento de hemodiálise, cadastrados em um centro de hemodiálise de um hospital publico do estado do Pará. Pesquisa descritiva, transversal de abordagem quantitativa, que analisou dados de 31 pacientes renais crônicos terminais em TRS na modalidade HD ambulatorial através de cateter duplo lúmen (CDL). A amostra incluiu, majoritariamente mulheres (64,5%), com idade média de 55,6 anos. A maioria era evangélica (54,8%) e solteira (43,9%). A prevalência de baixa escolaridade foi significativa, com 41,9% dos pacientes com ensino fundamental incompleto. A maior parte dos pacientes era autônoma (32,3%) e residia na capital do estado (41,9%). O tempo médio de insuficiência renal foi de 3,7 anos e de hemodiálise, 3 anos. O cateter Duplo Lúmen Permanente foi utilizado por 71,0% dos pacientes e a localização mais identificada foi na veia jugular direita (51,6%). Os resultados demonstraram que a maioria dos pacientes era do sexo feminino, com idade média de 55,6 anos, predominância de baixa escolaridade e uma significativa proporção de solteiros, o que pode indicar desafios específicos no manejo da doença e na adesão ao tratamento.
Influência da negligencia e da violência no desempenho escolar de crianças
Authors: Santos Danilo Mamede da Silva , Nascimento Carolaine Conceição do
Published: November 2024

A negligência e a violência são problemas que afetam o desempenho escolar das crianças. Este estudo tem como objetivo realizar uma revisão sistemática de literatura para investigar os impactos da negligência e da violência no desempenho escolar de crianças. Foi realizada uma revisão sistemática de literatura. A pesquisa selecionou 16 artigos em bases de dados reconhecidas, como BVS, LILACS e SCIELO. Os resultados evidenciam que crianças expostas a ambientes familiares abusivos apresentam dificuldades de aprendizagem, baixo rendimento, ansiedade e maior risco de abandono escolar. Esse tema é pouco explorado durante a formação pedagógica embora a escola não está isenta dos reflexos e consequências dos maltratos infantis. A pesquisa reforça a necessidade de mais estudos no Brasil para subsidiar ações preventivas e orientar políticas públicas.
O consumo de narguilé por adolescentes e a influência das redes sociais
Authors: Valério Taciane Taciane dos Santos , Mendes Daniela do Carmo Oliveira , Dall’Agnol Denize Jussara Rupolo , Santos Neto Leila , Valerio Pollyanna de Siqueira Queirós
Published: November 2024

Os adolescentes são vulneráveis a comportamentos de risco, como a experimentação e o consumo de tabaco, incluindo suas variações, como o narguilé. Esse contexto, aliado ao uso crescente das redes sociais e à exposição ao consumo, estimula e incentiva a reprodução desse comportamento. Diante disso, o presente estudo tem como objetivo analisar o consumo de narguilé por adolescentes e a influência das redes sociais nesse comportamento. Trata-se de um estudo qualitativo realizado com adolescentes entre 12 e 19 anos, cadastrados em uma Unidade de Saúde da Família de um município do Médio-Norte Mato-Grossense. Após a análise dos dados, que seguiu a metodologia de análise de conteúdo, emergiram duas categorias temáticas: “Conhecimento dos adolescentes sobre as consequências do consumo do narguilé” e “As redes sociais, amizades e a influência no consumo do narguilé”. O estudo revelou um conhecimento superficial sobre as consequências negativas do consumo do narguilé para a saúde, além de evidenciar que as redes sociais, assim como os amigos, incentivam esse uso. Esperamos que esta pesquisa promova reflexões entre os profissionais de saúde que atuam em ações voltadas à promoção da saúde dos adolescentes.
Treinamento físico na melhora da função endotelial de mulheres com câncer de mama: uma revisão sistemática
Authors: Santos Camila Cavalcante dos , Santos e Santos Talyssa Bia , Andrade Ferreira de Souza Juliana , Santana e Silva Mayara Mônica , Miranda dos Santos Alice , De Fátima Dornelas de Andrade Armele , Cunha Brandão Daniella
Published: November 2024

Este estudo consistiu em uma revisão sistemática, realizada seguindo as diretrizes PRISMA e incluindo ensaios clínicos randomizados e estudos piloto, com o objetivo de investigar os efeitos dos exercícios físicos na função endotelial de mulheres com câncer de mama. Foram incluídos quatro estudos clínicos, totalizando 133 participantes, com intervenções que variaram entre exercícios aeróbicos e treinamento intervalado de alta intensidade (HIIT). As avaliações da função endotelial foram realizadas utilizando a dilatação mediada por fluxo (FMD) e o índice de hiperemia reativa (RHI), ambos indicativos da saúde vascular. A maioria dos estudos relatou melhorias significativas na função endotelial e na capacidade cardiorrespiratória, especialmente em protocolos de maior duração e intensidade, sugerindo benefícios dos exercícios no contexto oncológico. Contudo, a heterogeneidade metodológica entre os estudos limitou a generalização das conclusões, evidenciando a necessidade de mais pesquisas para elucidar esses efeitos de forma mais robusta.
Eficiência de programas de aplicação no controle da cigarrinha do milho
Authors: Assis João Paulo Nunes de , Oliveira Rayssa Camargo de , Gontijo Luciana Nunes
Published: November 2024

A cigarrinha do milho é considerada uma praga chave na cultura do milho pela transmissão de fitopatógenos responsáveis pelas doenças comumente conhecidas como enfezamentos. Mesmo quando em baixas populações esse inseto tem causado danos e aumentado as perdas de produtividade desse cereal. Dessa forma, o objetivo do trabalho foi avaliar 4 programas de aplicação de inseticidas para manejo de cigarrinha e seus efeitos na produtividade. Cada tratamento foi composto por 5 aplicações de inseticidas, com excesão do programa P1 (testemunha) onde não foram feitas aplicações. No P2 foi utilizado aplicações Neonicotinoide + Piretroides + Organofosforado. O P3 consistiu em 2 aplicações sequenciais de Organofosforado + Piretroides e 3 de Neonicotinoide + Piretroides. Já o P4 consistiu em 4 aplicações sequenciais de Isoxazolina + Piretroides, seguidas por uma Organofosforado + Piretroides. As aplicações foram feitas entre os estádios vegetativos V2 á V10, sendo que os programas P2, P3 e P4 resultaram em menores quantidades de insetos em relação a testemunha, com destaque para o tratamento P4 com Isoxazolina, onde se obteve a maior produtividade.
Percepções de adolescentes universitários sobre a relação entre o comportamento sexual e o consumo de álcool
Authors: Silva Andressa Juliana da , Dall’Agnol Denize Jussara Rupolo , Valerio Pollyanna de Siqueira Queirós
Published: November 2024

No final da adolescência, com o ingresso na universidade e a busca por uma integração social, os jovens podem aderir com facilidade ao consumo de álcool, acarretando outros comportamentos de risco. Destaca-se que essa fase é marcada por experiências sexuais. Este trabalho objetivou compreender a relação entre o consumo de álcool e a vivência da sexualidade de adolescentes universitários. Trata-se de um estudo qualitativo descritivo, realizado com adolescentes universitários. Os dados foram coletados por meio de entrevistas semiestruturadas e analisados segundo a técnica de Análise de Conteúdo. Emergiram três categorias: “O impacto do consumo de bebidas alcoólicas nos relacionamentos afetivos”; “Parceiros sexuais e tipo de relacionamentos afetivos após a ingesta de bebidas alcoólicas”; e “A influência da ingesta de bebidas alcoólicas no uso de métodos contraceptivos e suas consequências”. Os resultados demonstram que os adolescentes universitários reconhecem a relação entre o consumo de álcool e o comportamento sexual, destacando que o ato de beber facilita os relacionamentos afetivos, interfere no número de parceiros sexuais e influencia negativamente a utilização de métodos de proteção durante as relações sexuais.
Estudo sobre o desenvolvimento de fibrose em rins de cães e gatos com necrose tubular aguda
Authors: Miranda Júlia Vargas , Corrêa Luísa Grecco , Amaral Aline do , Fernandes Cristina Gevehr , Grecco Fabiane Borelli
Published: November 2024

O estudo de patologias renais em cães e gatos passa pelo conhecimento da patogenia das alterações do órgão e no caso de injúrias agudas, espera-se que ocorra nos animais sobreviventes, regeneração ou reparação por fibrose.Neste estudo foi realizado estudo retrospectivo sobre necrose tubular aguda, principal alteração renal aguda encontrada em cães e gatos na área de abrangência do Serviço de oncologia veterinária da UFPEL (SOVET) durante o período de 2016 a 2024 e a  ocorrência de fibrose renal em amostras de rins de cães e gatos encaminhados para análise.Foram ainda tabulados os  dados deespécie, sexo, raça e idadeAproximadamente 90% dos rins apresentavam fibrose renal e, desta forma os objetivos deste trabalho  foram, apresentar uma proposta de graduação para necrose tubular aguda, levando em consideração os graus de intensidade de fibrose e outras alterações renais concomitantes.
Relações de gênero nas engenharias: uma revisão sistemática
Authors: Almeida Filomena Santos de , Santos Danilo Mamede da Silva
Published: November 2024

Relações de desigualdade de gênero representam violências naturalizadas que devem ser combatidas. Esta revisão sistemática investiga as relações de gênero na formação e atuação profissional de mulheres em cursos de engenharia. O estudo objetiva compreender os desafios e barreiras enfrentados por mulheres nesse campo. Foram consultadas as bases de dados Periódicos CAPES, Scielo e LILACS, abrangendo publicações entre 2014 e 2024. Um total de 263 artigos foram identificados: 240 na Periódicos CAPES, 9 na Scielo e 14 na LILACS. Após a triagem, 16 artigos foram incluídos na revisão final. Os principais achados destacam formas de discriminação, preconceito. Os resultados indicam uma persistente desigualdade de gênero nas engenharias, refletida em discriminação e barreiras profissionais. Existe uma necessidade urgente de políticas e práticas que promovam a equidade de gênero. As limitações incluem a escassez de estudos específicos e a variabilidade metodológica dos artigos analisados. A revisão conclui que a desigualdade de gênero na engenharia é um problema significativo que necessita de atenção contínua.
The potential hepatoprotective effect of Erythropoietin against liver damage induced by Doxorubicin through modulation of PI3K/Akt/GSK3β and activation of Nrf2/HO-1 pathway
Authors: Saddam Zeena Jasim , Kamal Yassir Mustafa , Waheed Huda Jaber
Published: November 2024

This study aims to evaluate the hepatoprotective effect of erythropoietin against doxorubicin-induced liver damage in a male rat model through PI3K/Akt/GSK3β axis modulation and activation of the Nrf2/HO-1 pathway. Doxorubicin, a chemotherapeutic antibiotic used to treat many types of cancer, has some considerable side effects that limit its clinical use, including hepatotoxicity. Erythropoietin is a glycoprotein hormone primarily recognized for its crucial function in promoting erythropoiesis. Recent studies have demonstrated the significant cytoprotective effects of erythropoietin in several organs. Thirty-six male Wistar rats were randomly separated into six groups: (Group 1) a negative control group; (Group 2) a doxorubicin induction group; (Groups 3, 4, and 5) three groups pre-treated with erythropoietin in three different doses (1000, 3000, and 6000 IU/kg); and (Group 6) a positive control group pre-treated with silymarin (100 mg/kg). On the 7th day, all groups (except group 1) were injected with a single dose of doxorubicin (20 mg/kg). On day 9 of the experiment, blood and liver samples were taken for subsequent analysis. The results showed that erythropoietin pre-treatment significantly reduced doxorubicin-induced hepatotoxicity by stimulating the PI3K/Akt and Nrf2/HO-1 pathways and suppressing GSK3β and caspase 3. In addition to that, erythropoietin pre-treatment also raised the levels of GSH, lowered the levels of MDA, and brought the levels of the liver enzymes ALT and AST back to normal compared to the induction group. In conclusion, via modulating PI3K/Akt/GSK3β and activating the Nrf2/HO-1 pathway, erythropoietin pre-treatment protected the liver against hepatotoxicity caused by doxorubicin in a dose-dependent manner.
Educação Ambiental na Escola: reflexões a partir de uma revisão bibliográfica
Authors: Muniz Císara Ferri , Accorsi Ana Maria Bueno , Marcon Gabrielli Teresa Gadens
Published: November 2024

Frente a crescente sensibilização com as questões ambientais e a necessidade de integrá-las aos sistemas de ensino, esta pesquisa teve como objetivo identificar como a Educação Ambiental (EA) está sendo desenvolvida na Educação Básica, a partir da percepção dos sujeitos envolvidos no processo educativo, além de analisar as abordagens dessa temática em pesquisas acadêmicas. Para isso, foi realizada uma pesquisa bibliográfica com abordagem qualitativa. Os dados foram coletados em bancos de dados online de periódicos científicos em língua portuguesa. Os resultados demonstraram que, embora as pesquisas indiquem o predomínio de práticas pontuais e descontextualizadas de EA nas escolas, associadas a visões reducionistas de meio ambiente, considera-se que essas iniciativas desempenham um papel importante na sensibilização inicial dos estudantes. Além disso, constatou-se que os desafios enfrentados na implementação da EA vão além do controle dos professores, destacando que, sem uma reestruturação do próprio sistema de ensino, que se mostra fragmentado, e uma valorização genuína dos profissionais da educação, será muito difícil promover mudanças significativas nesse cenário.
Reflexões sobre a linguagem neutra: análise (à luz da) polêmica do Projeto de Lei n.448/2020
Authors: Cavalcanti Ricardo Jorge de Sousa , Lima João Pedro Fradique de
Published: November 2024

Este artigo emerge diante de uma inquietação por partes dos/as autores/as em relação às discussões sobre a implementação e o uso de uma linguagem neutra e os desdobramentos que possuem no intercurso dos discursos produzidos a partir de debates, em específico, os da esfera pública, que, em nossa análise, mostram-se conservadores. Por meio de uma análise documental, a partir de um dispositivo público proposto como um Projeto de Lei (PL), problematiza-se o discurso presente e os pressupostos à luz de categorias lançadas a partir do ethos enunciativo e da categoria Polêmica, ambos cunhados por Amossy (2013; 2017). Com isso, pretende-se não somente evidenciar as mudanças sintagmáticas por intermédio do uso da linguagem neutra, mas, especialmente, considerar as vozes invisibilizadas tendo em conta um discurso que se assume como conservador e defensor da família e, portanto, anti-"ideologia de gênero". Com isso, ateremo-nos aos discursos que são promovidos pela esfera pública para a justificação de um PL que silencia os corpos desviantes da matriz CISheteronormativa, além de intuir compreender como o proponente desse PL constrói seu ethos discursivo de forma a persuadir o público e os/as seus/suas companheiros/as da classe política. O estudo se insere no campo dos estudos linguísticos, tendo como aporte a Linguística Aplicada, com o fito de problematizar, bem como propor, uma postura transgressiva frente aos discursos que impelem as formas de linguagem instituídos e requeridos por grupos historicamente minorizados, como é o caso da população LGBTQIAPN+.
Data-driven Prediction of Underwater Navigation Fitness Zone Classification
Authors: Yang Nan , Zhang Huiyong , Niu Haotian
Published: November 2024

This article presents a pioneering approach to enhancing underwater navigation accuracy and stealth through the utilization of gravity anomaly data. Developed by researchers from leading universities in China, the study aims to revolutionize autonomous marine navigation systems in unknown sea areas. By integrating advanced data processing, feature extraction, model construction, and optimization techniques, a cutting-edge navigation system has been formulated, showcasing remarkable improvements in navigation precision.The core innovation lies in leveraging bicubic interpolation to refine data resolution, enabling a meticulous evaluation of regional suitability and segmentation of sea zones. Subsequently, a gradient-based suitability prediction model is constructed, which is validated through migration prediction, underscoring its effectiveness and reliability. This research not only addresses the limitations of traditional terrain matching navigation methods, plagued by data accuracy and resolution constraints, but also paves the way for advancements in oceanic exploration and technological competitiveness.The introduction of gravity anomaly data, coupled with machine learning and visualization tools, marks a significant step forward in the development of adaptive navigation zones. This innovative system holds immense potential to enhance the autonomy, accuracy, and concealment of underwater vehicles, thereby facilitating safer and more efficient oceanic missions in the future.
A study of fresh produce pricing and replenishment strategy based on FCM cluster analysis and ARIMA-GARCH time series analysis modelling
Authors: Wang Miao
Published: November 2024

Aiming at the shortcomings of poor robustness and weak applicability in the formulation of pricing and replenishment strategies of fresh food superstores and the limitations of ARIMA model in pricing strategies, this paper is based on maximizing superstores' revenue, and proposes to establish an FCM cluster analysis model based on the elbow rule to analyse the correlation of different single products, and concludes that the sales volume of edible mushrooms and aquatic roots and tubers have a strong correlation, and spinach and choy sum have a strong correlation. Then the total sales volume of each category was negatively correlated with cost-plus pricing through least squares fitting. Finally, based on the ARIMA-GARCH model, a daily replenishment model was established, and it was predicted that the maximum daily replenishment of foliage and flowers would reach 213.908kg on 2 July, and the minimum daily replenishment of eggplant would reach 8.415kg on 4 July in the coming week.
Research on Pavement Defect Detection Algorithm Based on SEM-YOLOv8n
Authors: Deng Jingwei , Yang Li
Published: November 2024

Automated detection and identification of pavement distresses is essential for timely pavement repair. Subtle pavement defects and multiple defects detection is a challenging task under complex background. With the deepening of the deep learning network, some subtle features tend to disappear and are more difficult to detect under the influence of the complex background. To solve the above problems, this paper proposes the SEM-YOLOv8n pavement defect detection algorithm. Firstly, SPD-Conv is used to replace the traditional convolution, which is conducive to retaining more defect detail information in the image and improving the detection ability of subtle defects; then an efficient multi-scale attention mechanism is added to the fusion network, so that the network suppresses the background information and focuses more on the defect information. Finally, MPDIoU is introduced as a loss function, which optimizes the minimum perpendicular distance between the predicted bounding box and the real bounding box and improves the localization ability, thus improving the accuracy of the network. Finally, the effectiveness of the proposed network is verified on the IRRDD dataset, and the results show that the method achieves 91.9% (Precision), 91.3% (Recall), and 71.3% (mAP) for the classification and detection of road multi-scale minor defects, which meets the demand of real-time road defect detection.
Research on flood warning model based on dimensionality reduction and integrated neural network
Authors: Zhang Qianle , Huang Kaihao , Xiao Boyi
Published: November 2024

Flood disasters have long-term impacts on human societies and ecosystems, and population growth and urbanization lead to changes in surface conditions that increase the frequency and magnitude of floods. Therefore, understanding and predicting flood probability and constructing a flood warning mechanism are urgent problems. In this paper, a flood warning mechanism based on the probability of flood occurrence is proposed to construct a high-performance and highly interpretable model in a step-by-step manner using machine learning and deep learning methods. First, the correlation level is elucidated by the PCA dimensionality reduction method. Secondly, the K-means clustering method is used to replace the qcut binning method, and the classification model is built by combining the multidimensional data point distribution and classified by polynomial logistic regression. Finally, the integrated neural network model is constructed, the visual model performance is used for full feature optimization, and the performance of the classification model is optimized to achieve the flood prediction effect through the mean square error as the combination of the weights of the integrated model.
Research on Motion Patterns of Soft Robots Based on Bionic Structure
Authors: Hu Yuhan
Published: November 2024

Bionic soft robot is a new type of robot whose main body is composed of flexible material, with the advantages of adjustable size and strong environmental adaptability, which has a broad application prospect in logistics, medical care, resource exploration and other fields. Novel smart materials also shine in the design of soft robots. This paper highlights the research advancements in the locomotion patterns of bionic soft robots. The mechanism of movement of animals such as inchworms, starfish, earthworms, etc. and the soft robots designed to imitate them are introduced. Novel smart materials required to realise these designs, such as Shape Memory Alloy (SMA), dielectric elastomer (DE), a collapsible actuator (PFA), pNIPAM/CNTs hydrogel composite, are also presented. Methods to drive and control the motion of these soft robots are presented, including thermally driven shape memory alloys, pneumatic airbags, and laser-driven, magnetic field-driven, and electrically driven dielectric materials, among other types. After discussing the materials and methods, the current challenges to the innovation of motion patterns for bionic soft robots are analyzed.
Research on multi-stage rocket debris localization and recovery based on three-sphere localization
Authors: Guo Chenke , Zhang Ruihan
Published: November 2024

Advances in modern rocket technology have created challenges in the field of spaceflight with regard to the localization and recovery of rocket debris. In particular, in multi-stage rocket structures, transonic sonic booms are generated after the separation of the next stage or booster, which increases the difficulty of wreckage recovery. To solve this problem, a mathematical model based on multi-sensor data and three-sphere localization technique is proposed for accurately determining the location of the sonic boom point. The theoretical equations were constructed from monitoring equipment data and transformed into an optimization problem for numerical solution, and the longitude, latitude, altitude and time of the sonic boom birth were successfully determined. In addition, the localization and differentiation methods of multiple wrecks are studied, and the alignment and repeated verification strategies are used to improve the localization accuracy and reliability. Finally, the model validation is carried out by adding random perturbations, and the results show that the new model can still effectively locate the wreckage under a small range of perturbations, which provides an important support for the development of rocket wreckage recovery technology.
The influence of operating parameters on the performance of PEMWE electrolytic cell
Authors: Kang Dugang , Ma Lin , Huang Yanyun , Qiu Yongjun , Kang Ligui , Huang Song
Published: November 2024

Proton exchange membrane (PEM) is considered the most promising green hydrogen production technology in the future. The proton exchange membrane electrolysis cell (PEMEC) involves a complex process of multiple physical fields, including charge transfer, gas transfer, and heat transfer, during operation. Increasing the inlet water flow rate within a certain range is beneficial for increasing the output performance of the electrolysis cell and can also reduce the average temperature of the proton exchange membrane. But when the inlet flow rate increases to a certain amount, it has no effect. As the electrolysis voltage increases, the electrochemical performance of the electrolysis cell also increases, and the temperature of the proton exchange membrane and the current density of the catalytic layer also increase with the increase of voltage.
Exploring the Implementation Methods of AI-Driven Robots in Media Interaction Experience Design
Authors: Zhou Sijia
Published: November 2024

The purpose of this study is to deeply explore the innovative implementation methods of artificial intelligence (AI)-driven robots in media interactive experience design. Firstly, this paper expounds how AI-driven robot technology can provide users with a more natural and intelligent interactive experience through natural language processing (NLP), speech recognition, computer vision and other technologies, thus enhancing users' sense of participation and immersion. In order to realize the efficient application of AI-driven robot in media interaction, this study proposes a series of implementation methods, including improving the accuracy and personalization of robot interaction by using NLP and deep learning algorithm; Identify user expressions and gestures through computer vision technology to enhance the naturalness of interaction; Multi-modal interactive technology is used to integrate multi-sensory channel information to provide comprehensive interactive experience; Use deep learning technology to train the robot's ability to perceive and understand users' needs, and introduce emotion analysis technology to realize more humanized service; By constructing user portraits, we design personalized interaction schemes that adapt to different scenarios and users. In the experimental part, three different scenes, library, shopping mall and museum, are selected to verify the effectiveness of the design scheme. The results show that the AI-driven robot significantly improves the user's satisfaction and emotional experience under the personalized interaction scheme.
Research on Guizhou Tourism Marketing Strategy Based on Text Mining and Social Media
Authors: Guo Chunshan , Luo Enrui
Published: November 2024

With the intensification of market competition and the diversification of consumer demands, how to effectively develop and optimise marketing strategies has become the key to enhancing competitiveness and attractiveness. This paper first introduces the background and theoretical foundation of the application of text mining technology in the tourism industry and explains its importance in analysing large-scale user reviews and social media data. Then, it reveals the challenges and opportunities in the current market environment through empirical analyses of social media data related to tourism in Guizhou. Combining the methods of text classification, topic modelling and sentiment analysis, the in-depth study mines the tourists' perception and evaluation of Guizhou tourism and their influencing factors. Finally, targeted marketing recommendations are proposed, aiming to optimise the marketing strategy of Guizhou tourism and enhance its brand image and market competitiveness.
Research on Bionic Robot Motion Control Based on Reinforcement Learning
Authors: Li Yangchen
Published: November 2024

This research explores the application of reinforcement learning (RL) to enhance the motion control of bio-inspired robots across various environments. Focusing on underwater, terrestrial, and aerial robotic models, the study integrates model-free Q-learning, Deep Q Network (DQN), State-Action-Reward-State-Action (SARSA), and Double Deep Q Network (DDQN) algorithms. These methods are employed to achieve adaptive and efficient movement strategies without relying on pre-defined environmental models. The methodologies range from real-time data capture using live camera feeds for terrestrial robots to simulating aquatic and flight dynamics in controlled environments. Experimental results confirm the efficacy of these RL methods, demonstrating significant improvements in the robots' ability to adapt to dynamic and unknown environments, optimize movement efficiency, and navigate complex scenarios. The findings suggest a promising direction for future robotic applications, emphasizing the need for further research on optimizing these algorithms and expanding their real-world applicability. This study highlights the potential of RL to revolutionize robotic motion control, making robots more versatile and capable in varied and unpredictable settings.
Research on Sex-Ratio-Variable Sea Lamprey Populations Based on Logistic and Lotka-Volterra Models
Authors: Zhou Yingze , Xiong Jingyu
Published: November 2024

The increasing prevalence of invasive species like the sea lamprey poses significant challenges to aquatic ecosystems. This study explores the potential ecological impacts of the sea lamprey’s unique ability to alter its sex ratio. This paper developed mathematical models based on Logistic and Lotka-Volterra equations to simulate the impact of sex ratio changes on population dynamics, genetic diversity, and ecosystem stability. In this model, the carrying capacity of the sea lamprey's environment is linked to its food supply. According to the model developed in this paper, sea lampreys are more likely to develop into males when food is scarce, which is consistent with observed behavior. Additionally, the findings suggest that the sea lamprey's mechanism for adjusting its sex ratio provides it with a significant advantage over other species, both in terms of competition and predation. The findings highlight the dual role of sex ratio variability in enhancing population resilience while potentially reducing genetic diversity, providing insights into managing invasive species and preserving biodiversity.
Analysis of prevention and control strategies for safe operation of old elevators based on evaluation data statistics
Authors: Luo Chaojun , Liu Zhangxu , Qiu Yongjun , Wang Zhangjian , Kang Dugang
Published: November 2024

In recent years, the safety problems caused by frequent failures of old elevators have attracted increasing social attention. The safety evaluation of old elevators is an effective method to comprehensively judge the safety status of elevators. Through the statistics of the relevant data of the safety evaluation conclusions of more than 100 old elevators, this paper focuses on the analysis of the typical potential safety risks and puts forward practical and effective measures and suggestions, so as to provide effective guidance for ensuring the safe operation of old elevators.
Application of data-driven Decision Support System in Combating Illegal Wildlife Trade on Internet
Authors: Hu Shengfeng , Li Chengwei
Published: November 2024

With the rapid development of the Internet, the illegal wildlife trade is becoming increasingly serious, posing a threat to biodiversity. Using big data and artificial intelligence technology, this paper identifies abnormal transactions and network relationships by analyzing social media and e-commerce platforms, combined with random forests and graph neural networks, to enhance the efficiency of the crackdown. Random forest algorithms reveal nonlinear patterns and abnormal behavior, and graph neural networks help reveal the complex structure of the transaction network. In implementing the strategy, this paper uses a multi-attribute decision-making model (MADM) and analytic hierarchy Process (AHP) to assess and select the best partners, such as the United Nations Environment Programme, to optimize resource allocation and synergies. Through these technologies, this paper hopes to significantly increase the precision and speed of combating illegal wildlife trade, thereby effectively protecting biodiversity and contributing to the sustainable development of the planet and the harmonious coexistence of the natural environment.
FREQUENCY OF GENERALIZED ANXIETY DISORDER IN HOSPITALIZED COVID-19 PATIENT
Authors: SHAH IU , AKHUNZADA WA , RIAZ Q , WAZIR AH
Published: November 2024

The COVID-19 pandemic has had a profound impact on mental health, with anxiety disorders being particularly prevalent among hospitalized patients. Identifying and addressing mental health issues like generalized anxiety disorder (GAD) is crucial for improving patient outcomes and providing holistic care. Objective: To determine the frequency of generalized anxiety disorder (GAD) among hospitalized COVID-19 patients at MTI-Hayatabad Medical Complex, Peshawar, and to explore its association with gender and socioeconomic status. Methods: A cross-sectional study was conducted in the Department of Psychiatry at MTI-Hayatabad Medical Complex, Peshawar, over six months, from October 16, 2021, to April 16, 2022. A total of 179 hospitalized COVID-19 patients, aged 25 years and above, were included. Patients presenting with symptoms of anxiety were assessed using the Generalized Anxiety Disorder-7 (GAD-7) scale. Unstable patients, who had a history of other mental disorders or were receiving treatment for depression and anxiety were excluded. Data were analyzed using statistical methods to explore associations between GAD and demographic factors such as gender and socioeconomic status. Results: The study included 179 COVID-19 patients, with a mean age of 43.50 ± 10.18 years. Generalized anxiety disorder was identified in 62 patients, representing 34.6% of the total population. GAD prevalence was significantly higher among female patients (p < 0.001) and those from lower socioeconomic backgrounds (p = 0.002). Conclusion: This study highlights a high prevalence of generalized anxiety disorder among hospitalized COVID-19 patients, particularly among females and those of lower socioeconomic status. The findings underscore the need for routine mental health screening and targeted interventions to address anxiety in this vulnerable population.
KNOWLEDGE OF CARDIO-PULMONARY RESUSCITATION AMONG FIRST-YEAR NURSING STUDENTS
Authors: ASHRAF R , JAVED H , SADDIQUE H , JABEEN R
Published: November 2024

: In the dynamic realm of healthcare, proficiency in cardiopulmonary resuscitation (CPR) stands as a cornerstone skill for nursing professionals. First-year nursing students represent the future frontline caregivers entrusted with the critical responsibility of preserving human life during emergencies. Methods: A descriptive cross-sectional study was conducted from January to April 2024 at the Superior University Department of Nursing in Lahore, to assess CPR knowledge among first-year nursing students. The study, involving 80 participants selected through convenient sampling, included students without prior CPR training. Data was collected using a demographic questionnaire and a CPR Knowledge Questionnaire, with scores ranging from 0 to 77. Analysis was performed using SPSS 25.Results: The results of the study provide a comprehensive overview of the participants' demographics and their knowledge about CPR. Most participants were under 30 years old (91.3%), with nearly equal numbers living in hostels (48.8%) and as day scholars (51.2%). A significant majority were single (95%). Knowledge about CPR varied, with 53.8% of participants having average knowledge and 46.3% having good knowledge. Responses revealed varying levels of understanding about CPR's purpose, procedures, and effectiveness, highlighting a need for improved education and training. Conclusion: The study shows that most nursing students are under 30 years old, with a near-equal distribution between hostel residents and day scholars, and a majority are single. Overall, 53.8% have average CPR knowledge, while 46.3% have good knowledge.
SEDATION ASSESSMENT IN MECHANICAL VENTILATED PATIENTS: THE LEVEL OF KNOWLEDGE ASSESSMENT AMONG CRITICAL NURSES IN A PUBLIC TERTIARY CARE HOSPITAL LAHORE
Authors: RAIZ G , BRUCE S , AMIR Z , TASNEEM SS , JABEEN R
Published: November 2024

By appropriately evaluating and controlling sedation in patients on mechanical ventilation, nursing problems can be prevented. However, critical care nurses in public tertiary care hospitals with limited training and resources continue to lack certain expertise. Critical care nurses need to assess and manage sedation. Patients are at significant risk from both over and insufficient sedation. Critical care nurses must possess adequate expertise in sedation assessment and management. Objective: The study's objective is to evaluate critical care nurses' knowledge in sedation management for patients on mechanical ventilation at Pakistan's public tertiary care hospitals. Method: A cross-sectional study with a descriptive design was carried out at the public tertiary care hospital in Lahore. Convenience sampling techniques were used to recruit study participants from the critical care unit. Knowledge levels were divided into three categories: poor, fair and good. Data was collected through questionnaires, which were evaluated using descriptive statistical analysis. Results: The result showed that 36% had fair knowledge, just 16% of the nurses had a strong understanding of sedation management, and 48% of the nurses had low knowledge. Conclusion: The study highlighted a significant lack of sedation management knowledge among critical care nurses in public tertiary care hospitals. Addressing these gaps through targeted training and standardized sedation protocols is essential for improving patient safety in critical settings.
Leaf size spectra of tree species in Uttara Kannada district of Karnataka, Western Ghats
Authors: Sringeswara A. , Haleshi C. , Pradeep N. , Srinivasulu M. , Rajanna M. , Gowda Balakrishna
Published: November 2024

Leaf size spectra of tree species were investigated in Uttara Kannada District of Karnataka. A total of 189 tree species have been identified from the 96 sample points, covering all vegetation types. The identified species were assigned to different leaf size classes based on Raunkiaer’s leaf size classification. Majority of the species belongs to the mesophyll leaf size class (83.87%). Only deciduous vegetation exhibits all leaf size classes. Evergreen vegetation has highest percentage of mesophyll leaf size class (89.53) followed by semi-evergreen (85.47), moist deciduous (84.55) and least in dry deciduous vegetation type (76.27). Other leaf parameters were also analyzed and a strong correlation was found with vegetation types.
Genetic variability in mulberry for foliar traits
Authors: Siddiqui Abad , Lal Babu , Khatri R.
Published: November 2024

The present study was undertaken with 7 mulberry genotypes to determine the genetic variation in foliar traits. Among the seven foliar traits studied high heritability associated with high genetic advance recorded in L x B ratio and leaf area due to additive gene effects and selection based on these traits may be effective. High estimate of heritability with low genetic advance observed for other foliar traits, viz., leaf length, leaf breadth, petiole length and moisture percentage is due to non additive gene effects and for improvement of these traits heterosis breeding might be useful.
On The 3-Cyclic Refined Neutrosophic Real Roots of Unity and Their Algebraic Classification
Authors:   Cape Peninsula University of Technology, Faculty of Applied Science, South Africa, Agnes Agnes
Published: November 2024

The objective of this paper is to find all formulas that describe the 3-cyclic refined neutrosophic real solutions of the equation 𝑋𝑛=1 which are called 3-cyclic refined real roots of unity. Also, we classify the algebraic group represented by these solutions as a direct product of some familiar finite abelian groups. On the other hand, we illustrate many examples to clarify the validity of our work.
General Features of the Libyan Strategy for Water Resource Management
Authors: Ahmed F. Abugdera
Published: November 2024

Current reports highlight a global water crisis affecting humanity and the environment. Libya, with its limited water resources, relies primarily on groundwater, with agricultural use accounting for 78% of consumption, urban at 12%, and industrial at 10%. This paper assesses the challenges of water scarcity and proposes a Libyan water resource management strategy. It reveals that the depletion of groundwater is largely due to previous political decisions allowing unrestricted well drilling. Without intervention, Libya risks complete resource depletion, leading to significant economic and political costs. The proposed strategy emphasizes the need for a clear water policy and effective management practices. It calls for a reevaluation of agricultural consumption policies to enhance efficiency and promote alternative water sources like desalination and treated wastewater. Additionally, it suggests reprogramming investments in the Great Man-Made River and prioritizing water allocations for the most affected areas. Researchers urge adherence to environmental protection regulations and recommend integrating these insights into the Libyan strategy to mitigate negative impacts effectively.
Comparative Study of Different Brands of Furosemide Injection
Authors: Ruwida Kamour  , Jamal Elbakay
Published: November 2024

Furosemide is one of loop diuretics which are very important drugs for treatment of hypertension and other medical problems. Parenteral furosemide is considered more effective than oral formulations; therefore, it is important to evaluate its therapeutic effectiveness starting from physicochemical properties. The aim of this study was to assess quality of five different brands of furosemide injection collected from different pharmacies in Tripoli-Libya. The five brands were tested for their alkalinity, ultraviolet wavelength maxima and content uniformity to assess if they comply with standards of BP2009. Manufacturing date was not printed in four samples. The pH of sample E was lower than accepted limit in addition to a low content of furosemide in sample D making it unacceptable. The results assured importance for parenteral products to comply with all physicochemical specifications as well as labelling. This would assure efficacy and safety of the drugs.