bluuebunny/crossref_metadata_2025 huggingface dataset:
Bingo celular: uma alternativa lúdica de aprender sobre a célula
Authors: Silva Fabiane Fernandes da , Acrani Simone
Published: May 2024

As metodologias ativas são métodos alternativos ao ensino tradicional que redirecionam o estudante para o centro de sua educação e facilitam a compreensão, bem como a assimilação dos conteúdos abordados, ao aproximar a forma de aprendizagem empregada com a realidade do discente. No âmbito das metodologias ativas, a gamificação se destaca por focar um ensino-aprendizagem mais motivador, dinâmico e participativo, além de trabalhar outras habilidades fundamentais ao indivíduo enquanto profissional e ser social. Nesse contexto, a Fisiologia Humana, que é um componente curricular fundamental para compreensão dos processos biológicos nos cursos da área da saúde e, muitas vezes, complexa, tornou-se uma excelente candidata para aplicação dessas novas abordagens pedagógicas. Dessa forma, o presente artigo buscou explorar o potencial dos jogos didáticos como ferramenta para descomplicar conteúdos e os transformar em temas de interesse, melhorando o entendimento e consolidando a aprendizagem. Os objetivos traçados abrangeram a análise do engajamento dos estudantes, sua recepção e satisfação quanto à metodologia aplicada e, ainda, sua repercussão na aprendizagem. Assim sendo, desenvolveu-se a dinâmica do “Bingo da Célula” que trabalhou o conteúdo de estruturas celulares, processos metabólicos e constituintes químicos do corpo humano. A aplicação da atividade foi realizada com discentes do 3º período do curso de Terapia Ocupacional da UFTM, sendo sua execução de caráter facultativo e em horário díspar das aulas da disciplina em questão. Os resultados obtidos foram muito satisfatórios, sobretudo, quanto ao engajamento e ao feedback positivo por parte dos discentes envolvidos. Houve um engajamento de 64% da turma e aprovação unânime da dinâmica, além do consenso de todos acerca da efetividade do método na consolidação da aprendizagem. Desta forma, a atividade pode revelar a importância em adaptar estratégias educacionais à realidade e aos interesses dos discentes, promovendo uma jornada de aprendizagem mais envolvente e significativa. Concluiu-se, portanto, que a inovação no ensino é fundamental para cultivar um ambiente educacional estimulante e eficaz.
Modelagem matemática do jogo de cartas Yu-Gi-Oh! para o ensino de inequações polinomiais do 1º grau
Authors: Barreto Lucas da Silva , Caldato João Carlos , Pereira Leandro de Oliveira
Published: May 2024

O objetivo deste artigo é apresentar uma proposta de sequência didática, em que é explorada uma aplicação da modelagem matemática no contexto do jogo de cartas Yu-Gi-Oh, para o ensino de inequações polinomiais de 1º grau. Nesta sequência didática trazemos uma Modelagem Matemática associada ao uso de jogos educacionais, sala de aula invertida e aprendizagem em grupo com o propósito de proporcionar um ambiente de aprendizado que promova a compreensão crítica e prática da Matemática, preparando os alunos para enfrentar problemas do mundo real. A sequência proposta incorpora estratégias pedagógicas inovadoras, incluindo a aprendizagem em grupo, que promove a colaboração entre os alunos, a sala de aula invertida, na qual os alunos adquirem conhecimento prévio antes das aulas para aproveitar ao máximo o tempo em sala, e a gamificação, que transforma o processo de aprendizagem em uma experiência envolvente e lúdica. A abordagem proposta visa não apenas promover o entendimento das inequações polinomiais de 1º grau, mas também desenvolver habilidades críticas e de resolução de problemas nos alunos. Além disso, buscamos fornecer insights sobre as potencialidades do uso de jogos no ensino de Matemática, explorando suas aplicações em sala de aula e o possível impacto no engajamento e na aprendizagem significativa dos alunos. Ao tornar o processo de aprendizagem mais agradável e significativo para os alunos, a combinação de Modelagem Matemática, gamificação, sala de aula invertida e aprendizagem em grupo abre novas perspectivas para a Educação Matemática, promovendo um ambiente de aprendizado estimulante e eficaz. Espera-se que as percepções e resultados deste estudo inspirem educadores a explorar abordagens pedagógicas inovadoras e aprimorar continuamente a qualidade do ensino de Matemática.
Neocaridina davidi (Bouvier, 1904). Un análisis bibliométrico
Authors: Aguilar Alfredo Martínez , Díaz-Larrea Jhoana , García Laura Georgina Núñez , García Ruben Cabrera , Aviña Juan Ricardo Cruz
Published: May 2024

Neocaridina davidi puede colonizar una variedad de hábitats acuáticos, como ríos, lagos, estanques y arroyos, es igualmente destacable. Con un espectro de colores que abarca hasta quince tonalidades por lo que es de interes para la acuariofilia. Su centro de origen se sitúa en las localidades de Taiwán y China. En este estudio, se llevó a cabo una revisión bibliométrica electrónica sobre el camarón ornamental dulceacuícola Neocaridina davidi utilizando la base de datos Scopus, y tuvo como objetivo identificar los enfoques y tendencias de las investigaciones que sobre la especie se han realizado. Se realizaron análisis bibliométricos abarcando 70 años de información mediante el software VOSviewer. Se seleccionaron como palabras clave "Neocaridina davidi", "Neocaridina heteropoda" y "Neocaridina denticulata", y se incluyeron las investigaciones más relevantes sobre la especie. Se identificaron un total de 117 artículos sobre N. davidi publicados en el período 1952-2021, siendo la mayoría de ellos publicados a partir de 2010. Entre los 328 autores que contribuyeron a estas publicaciones, se destacó López Greco, L.S. de la Universidad de Buenos Aires, Argentina, como el autor con mayor producción sobre el tema. Además, se observó que China fue el país con mayor número de artículos registrados sobre este tema. Las ciencias agrícolas y biológicas fueron los temas más abordados en relación con esta especie. Las palabras clave más frecuentemente citadas fueron "decápoda" y "shrimp".
FEM analysis of thermomechanical effects on stress intensity factors
Authors: Abdelghani Brahimi , Kebir Tayeb , Benguediab Mohamed , Carpinteri Andrea
Published: May 2024

The response of a material to thermo-mechanical loading depends on its thermal and mechanical properties. Some materials may exhibit significant thermal expansion, meaning they expand significantly when heated, while others may be stiffer and show little thermal expansion. To evaluate the behavior of a material or structure subjected to thermo-mechanical loading, advanced analysis and modeling techniques are used, such as finite element modeling. These methods make it possible to predict deformations, stresses and possible failure problems that may occur under the effect of thermo-mechanical loading. In the present paper, assuming that the thermal regime was steady, the effects of thermo-mechanical loads on the stress intensity factor in a 2D cracked plate of functional gradient material (FGM) are examined. The analyzes the effects of thermo-mechanical loads on the stress intensity factor in a 2D cracked plate of functionally gradient material is a complex problem and generally requires advanced modeling and simulation approaches, such as the finite element method. The plate has a crack on the edge and is made of FGM (titanium-zirconia). Analyses are performed for different imposed temperature values, using the Newman’s conditions. The problem is solved using a newly created USDFLD subroutine in the ABAQUS program. In this routine, functionally graded material property variations follow an exponential law function in the plate with cracks. Stress intensity factors are calculated using the J-integral, taking into consideration the variation in properties at the crack tip. Effects of temperature and relative crack length on stress intensity factors were evaluated. The stress intensity factor values obtained by the finite element method (FEM) modeling shows that there is a good correlation with the results obtained in other studies.
Perfil sociodemográfico, clínico e do tratamento de pacientes com Artrite Reumatoide
Authors: Oliveira Jéssica de Castro , Reis Deise Elen Oliveira dos Santos , Teixeira Maria Luiza Silva , Nicolau Paôlla Nayme Martins Morais , Luz Davi Mamede da , Azevedo Júnior Elano Jaime , Pimenta Marcelo
Published: May 2024

A artrite reumatoide é uma doença de caráter crônico e progressivo que atinge cerca de 1% da população brasileira. Objetivou-se descrever a análise sociodemográfica e clínica dos pacientes com artrite reumatoide atendidos no serviço de Reumatologia do Hospital Geral de Goiânia durante o período de 2016 a 2021. Trata-se de um estudo transversal, retrospectivo e de abordagem quantitativa. A amostra foi constituída por 209 pacientes, cujos dados foram coletados por meio de pesquisa em prontuário eletrônico com base em ficha de coleta elaborada pelos pesquisadores. Observou-se que a maioria dos pacientes era do sexo feminino (85,2%), com idade de 60 anos ou mais (54,5%) e solteiro (66%). Acerca dos dados clínicos, 89,5% dos pacientes possuíam alguma comorbidade, sendo a hipertensão arterial sistêmica a mais prevalente, 89% usavam outro medicamento contínuo para o tratamento das comorbidades e o mais usado foi a vitamina D. Além disso, 80,4% usavam medicamentos modificadores do curso da doença sintéticos e o mais usado foi o metotrexato (50,7%). Entre os que usavam medicamentos biológicos ou sintéticos alvo específico, o mais utilizado foi o adalimumabe (6,7%). 60,8% dos pacientes faziam uso de corticoide (prednisona). O esquema terapêutico mais usado foi o de metotrexato associado a corticoide (23,9%). Conclui-se, portanto, que em uma análise mais detalhada do perfil e tratamento medicamentoso instituído nos pacientes, a maioria dos dados encontrados foram similares aos encontrados na literatura científica e a maior parte dos esquemas utilizados concorda com o Protocolo Clínico de Diretrizes Terapêuticas (2021) do Ministério da Saúde para artrite reumatoide.
Comparative Study on Dynamic Earphones and Electrostatic Earphones
Authors: Zhou Tuoyu
Published: May 2024

With the progress of science and technology, there are many kinds of headphones on the market, and people's requirements for headphones are becoming higher and higher. This article provides a detailed comparison and analysis of dynamic headphones and static headphones, exploring the differences in sound quality, performance, comfort, and other aspects between the two. At the same time, it summarizes the current market situation and future trends. This article aims to provide consumers with valuable reference to help them make more informed decisions when choosing headphones.
A Hybrid Deep Learning Approach for Lung Nodule Classification
Authors: Ren Cheng , Hou Shouming
Published: May 2024

Lung cancer has the highest morbidity and mortality rates worldwide. Pulmonary nodules are an early manifestation of lung cancer. Therefore, accurate classification of pulmonary nodules is of great significance for the early diagnosis and treatment of lung cancer. However, the classification of lung nodules is a complex and time-consuming task requiring extensive image reading and analysis by expert radiologists. Therefore, using deep learning technology to assist doctors in detecting and classifying pulmonary nodules has become a current research trend. A lightweight classification model named Res-VGG is proposed for classifying lung nodules as benign or malignant. The Res-VGG model improves on VGG16 by reducing the use of convolutional and fully connected layers. To reduce overfitting, residual connections are introduced. The training of the model was performed on the LUNA16 database, and a ten-fold cross-validation method was used to evaluate the performance of the model. In addition, the Res-VGG model was compared with three other common classification networks, and the results showed that the Res-VGG model outperformed the other models in terms of accuracy, sensitivity, and specificity.
The Role of Vocational Colleges in Supporting the Employment of Adolescents with Autism Spectrum Disorders
Authors: Han Wei
Published: May 2024

"Promoting integrated education, comprehensively improving the quality of special education, and further deepening the integration of general education, vocational education, medical rehabilitation, and information technology with special education" is one of the three major tasks and measures in the "14th Five Year Plan" for the development and improvement of special education. The concept of integrated education is a key clue to solving the current problems of low employment ability and employment difficulties for special needs children. Adolescents with autism spectrum disorder (ASD) often face practical difficulties in the employment process due to social and communication barriers. Vocational colleges have rich experience and resources in vocational education, helping adolescents with autism spectrum disorder improve their vocational skills and employment abilities through curriculum design, vocational skills training, practical training base construction, school enterprise cooperation, and other aspects. This article aims to explore how vocational colleges can utilize their educational resources and industry connections to build an effective support system, in order to promote the improvement of employment ability and social integration of adolescents with autism spectrum disorders.
Research on Atmospheric Attenuation Compensation Technology of High-Frequency Band Microwave in Long-Distance Transmission
Authors: Chang Yanping , Li Qibin , Zhang Jianan
Published: May 2024

With the rapid development of wireless communication technology, high-frequency band microwaves (e.g., millimeter-wave and terahertz wave) show great potential in the field of high-speed data transmission due to their huge bandwidth resources. However, high-frequency band microwaves are seriously affected by atmospheric attenuation during transmission, especially at long distances, and this attenuation significantly reduces the signal strength and quality. Therefore, the study of accurate modeling of atmospheric attenuation as well as effective compensation techniques is crucial for improving the performance of long-distance transmission of high-frequency band microwaves.
Molecular Role of SGK3 Gene in Promoting the Progression of Non-small Cell Lung Cancer
Authors: Li Miao , Yang Qingyu , Rui Yan
Published: May 2024

Objective: To investigate the role of SGK3 in the progression of non-small cell lung cancer and investigate its effect on cell growth using lung cancer cell lines. Method: A retrospective analysis was conducted on 134 non-small cell lung cancer patients diagnosed in our hospital from January 2014 to December 2018, including 83 cases of adenocarcinoma and 51 cases of squamous cell carcinoma. Immunohistochemical staining was used to divide lung cancer specimens from patients into SGK3 negative and positive groups, and the correlation between SGK3 expression and clinical data was analyzed. Subsequently, cellular level experimental validation was carried out using the A549 lung cancer cell line. Result: Clinical data confirmed that SGK3 was significantly overexpressed in lung cancer tissue (P<0.05), and the difference in its expression level was not related to factors such as age and gender of SGK3 patients, but only showed a significant correlation with TNM staging and lymph node metastasis (P<0.05). In addition, through CCK-8 cell growth rate measurement experiments and cell scratch and invasion experiments, it is speculated that the above clinical findings may be due to the pro cancer effect of SGK3. Conclusion: SGK3 is highly expressed in cancer tissues of non-small cell lung cancer patients. SGK3 promotes lung cancer cell growth and division, suggesting that this regulatory factor may be involved in the occurrence and development of non-small cell lung cancer.
Research Progress and Application Analysis of Intelligent Non-destructive Testing Technology for Cable Supported Bridges
Authors: Wang Lianfa , Cheng Yu , Zhang Yufeng
Published: May 2024

Intelligent non-destructive testing technology for bridges is a technical method to achieve adaptive detection and quantification of structural damage and defects, and provide reliable technical data and basis for bridge maintenance and repair, without damaging or affecting the operational performance of the bridge being tested, with the aid of modern intelligent testing equipment or testing methods. This paper systematically summarizes the mainstream structural appearance defect detection, internal and concealed damage detection, geometry parameter detection, mechanical parameter detection and material parameter detection techniques and equipment in recent years, analyses the current status of various intelligent inspection methods and applications for the main components of cable-supported bridges. The limitations, technical bottlenecks and main technical development directions of existing intelligent inspection technologies and equipment in practical inspection scenarios are analyzed, providing useful references for subsequent research, technical expansion and engineering applications of intelligent inspection technologies in the field of cable-supported bridges, as well as for significant improvements in the breadth, accuracy and efficiency of cable-supported bridge inspection.
Application of Green Building Design Concept in Architectural Design
Authors: Liu Shuo , Tian Jiefang
Published: May 2024

With the continuous improvement of China's economic level, the construction industry is also developing. In order to meet the development needs of the current era, the construction industry needs to be able to actively integrate green concepts, improve people's quality of life, and promote better social development. This paper first understands the application principles of green concept in architectural design, and then analyzes the specific application of green concept in architectural design to provide reference for relevant researchers.
Assessment of Urine and Serum Exosomes as Biomarkers for the Diagnosis of Bladder Cancer
Authors: Kalaf Farhan Hussein , Rasheed Manal Kamal , Ismail Mohammed Bassil
Published: May 2024

Background: Bladder cancer (BC) is the most common malignant tumor in the urinary tract and the tenth most common malignancy worldwide. Exosomes are 40–100 nm-diameter nanovesicles that are either released straight from the plasma membrane during budding or merged with the plasma membrane by multivesicular bodies. Objectives: To assess the proportion of serum and urinary Exosome levels in urinary bladder cancer patients, as well as their impact on the disease. Methods: From January 2023 to June 2023, a total of 45 samples of blood and urine were collected from individuals diagnosed with bladder cancer at the Ghazi Hariri Hospital for Specialized Surgery. They included 45 male and female patients, varying in age, as well as 45 healthy controls. The samples were analyzed for exosome levels using the ELISA method. Results: The mean serum and urine exosome levels in the patients' group (14.18 and 20.04) were significantly higher than in the control group (8.21 and 8.94), respectively. Serum exosomes exhibited a significant positive and moderate correlation with urine exosome levels. Conclusions: Serum and urine levels of exosomes can be used as biomarkers to detect bladder cancer, and the urine level seems to be preferential.
Assessment of genetic diversity on growth and reproductive behaviour in mulberry germplasm and utilization
Authors: Rao A. , Tikader A. , Thangavelu K.
Published: May 2024

The genetic diversity in 628 mulberry accessions (Indigenous-455 and Exotic -173) maintained in the ex situ field gene bank at CSGRC, Hosur was studied for a range of set descriptors on morphological, reproductive behaviour, leaf histological and growth behaviour. Wide variation was recorded in plant types, shoot colour, phyllotaxis pattern, and pubescence on the plant parts, leaf texture and shape and yield attributing characters. Indigenous accessions exhibited greater variation for most of the leaf histological characters compared to exotics. However, higher mean values contributed to leaf thickness was recorded in the exotics. Three major groups, viz. dioecious male, female and monoecious are recorded which indicate phenomenon of sexual polymorphism and prevalence of unisexuality, and preponderance of femaleness irrespective of its geographical and genetic origin. Exotic accessions performed better with higher mean values for most of the leaf characters while, indigenous accessions exhibited higher mean values for shoot characters. The promising accessions were identified for utilization in the breeding programmes.
Host plant (Albizia lebbeck) influence on the biological parameters of Psyllid Acizzia indica Heslop-Harrison (Homoptera : Psyllidae)
Authors: Neelannavar T. , Thirumurthi S. , Chavan Manjunath , Jayapragasam S. , Kuberaddi N.
Published: May 2024

Psyllids are reported to be serious pests of woody species, preferably seedlings. The classical studies conducted in the pest have concluded the presence of profound influence of both, inter and intra specific host plants on the growth and developmental stages of the insect pests. A study was undertaken to evaluate the intra 11 seed sources of Albizia lebbeck (L.) Benth. and inter specific influence of five Albizia spp. (A. amara, A. chinensis, A. falcataria, A.guachepele, A. odoratissima and A. lebbeck) on the growth and development of life stages of Acizzia indica (Heslop- Harrison), a serious psyllid pest on seedling and sapling of A. lebbeck in India. Profound influence of seed sources on the life stages of psyllid was found. Psyllid took longer duration to complete egg, nymphal stages but shorter duration for adult stage on KA-2 seed source (3.92 ± 0.38, 17.08 ± 1.84 and 8.35 ± 2.76 days respectively) and KA-5 and TN-2 seed sources followed it. Psyllid completed egg and nymphal stages quickly and survived for long as adult on HP-2 seed source (1.92 ± 0.14, 9.83 ± 0.38 and 13.58 ± 0.88 days respectively) while HP-1 seed source just preceded it. Among different Albizia species, psyllid could survive and complete normal life cycle only on A. lebbeck, and survived till adult stage on A. chinensis. Nymphs of A. indica died within 4.33 ± 0.38 days on A. falcataria, 5.25 ± 0.5 days on A.gauchepele, 6.50 ± 0.25 on A. amara and 8.25 ± 0.25 on A. odoratissima. In general psyllids took longer generation time on resistant genotypes while shorter generation time on susceptible genotypes. The study concluded the presence of constitutive (among different Albizia species) as well as induced differences (among seed sources of A. lebbeck) against psyllid A. indica.
A [92.4] FO4(1V), [53.71] Eu(1V) 4-bit absolute-value detector
Authors: Huang Zixiong
Published: May 2024

With the development of modern computers, the integration of chips is getting higher and higher, and as the computing power increases, the energy consumption of chips is also increasing. Therefore, designing and optimizing low-latency and low-energy chips are the goals of many researchers today. At the same time, 4-bit absolute value detector are one of the most basic and important circuits for data storage and processing in chips. This paper designs a 4-bit absolute value detector circuit using Complementary Metal Oxide Semiconductor (CMOS) transistors that can take the absolute value of the input 4-bit signed number and compare it with the threshold value. And it includes the design of its absolute value conversion module and comparator module. By optimizing the circuit structure, the number of logic gates is reduced. By calculating the minimum delay on the critical path, logic gate size and other parameters, the power consumption of the circuit is reduced by adjusting the delay. In conclusion, this paper research can help further optimize the development of chip design industry.
A markov chain based photovoltaic power simulation method
Authors: Wang Zelin
Published: May 2024

Photovoltaic power generation has volatility and randomness, which affects the safety and reliability of the power system. In order to achieve accurate simulation of photovoltaic output, this paper proposes a photovoltaic power timing simulation method based on rolling sampled Markov chain model. Firstly, establish a photovoltaic output model and analyze the actual output characteristics; Then, based on the first-order Markov chain model, the relationship between adjacent days is considered, and a multistate transition probability matrix is established to construct an annual time series output model; Finally, based on the annual output data of a photovoltaic power station and historical meteorological monitoring data, an example is simulated to verify the effectiveness of the proposed method.
The analysis of the optimization direction of conventional mechanical bicycle
Authors: Jin Can
Published: May 2024

With the rise of environmental awareness and the intensification of urban transportation problems, bicycles have regained attention as a green and efficient way of traveling. This thesis explores and analyzes the direction of optimizing the conventional mechanical bicycle in modern society. Using a summary review approach, the thesis focuses on the optimization potential of bicycles in terms of integrating frame design and ergonomics, personalized design, enhancing cycling efficiency, and refining products. Among other things, this thesis emphasizes the importance of frame shape design, dimensional adaptation, postural optimization, dynamic adaptation, lightweight design, aerodynamic efficiency enhancement, and product development for specific market segments. In addition, this thesis discusses the use of technology integration such as built-in Global Positioning System tracking, electronic displays, and other high-tech elements in bicycle design. Through this analysis, this paper finds that there is still a lot that can be changed in today's bicycles and that the market for bicycle sales will expand even further.
Strategic flight planning models based on integer programming: Optimizing air traffic and airport capacity
Authors: Ye Zhijian , Pang Qin , Hu Luodan
Published: May 2024

In the context of limited airport capacity, the increasing imbalance between growing air traffic demand and constrained airport capacity significantly elevates the probability of flight delays or even cancellations. To address this issue, this paper proposes a strategic flight planning model based on integer programming from the perspective of airport capacity. The model incorporates constraints such as departure, arrival, and total capacity, aiming to adjust flight schedules at the strategic phase to more effectively utilize existing airport resources. Taking the example of adjusting flight schedules from Chengdu Shuangliu International Airport, direct to Tengchong Tuofeng Airport, to Chengdu Shuangliu International Airport first and then to Dehong Mangshi International Airport, the paper demonstrates, through strategic flight planning, a more balanced alignment of flight demand and airport capacity without increasing the burden on the airport. This validates the practicality and effectiveness of the proposed model. The research results indicate that the model can effectively improve abnormal flight situations while reducing operational costs, providing significant convenience for airports, airlines, and passengers.
Research on the development and application of radio transmission technology
Authors: Liu Chenhe
Published: May 2024

Since the 21st century, radio energy transmission technology has entered a stage of rapid development, and relevant theoretical research, innovative experiments and application promotion have made great progress. With the proposal and construction of the global energy Internet, related technologies will have greater development potential and application value in the future. Through qualitative analysis and literature review, this paper introduces the development and classification of radio transmission technology, summarizes the advantages and disadvantages of the combination of radio transmission technology, as well as the prospects for development in the fields of transportation drones, health care, and other fields, and the main problems currently faced. And the research and development of wireless energy transmission technology in different fields will face many technical challenges, such as theory, devices, safety, and so on. Therefore, its R&D process needs to break through key technologies in stages and steps. However, with the development of technology and the increase in demand, wireless energy transfer also has a lot of possibilities.
A matching model for major orientation of computer science students based on random forest model
Authors: Wu Di
Published: May 2024

With the advancement of computer innovation, there are increasingly major computer bearings, such as software development, network security, artificial intelligence, data science, etc. When choosing the direction of computer science, students have to consider their interests, techniques, soft skills and numerous other components to utilize their qualities and accomplish their career objectives. This article centres on how to use machine learning methods to anticipate the direction of computer science students. Theres a solid relationship between students interests, techniques, and soft skills when choosing the direction of computer science majors. By employing a random forest machine learning show to prepare students ability characteristics, it is conceivable to anticipate which direction of specialization students are more appropriate for. Within the explore, we isolated the training, validation, and test sets, agreeing to the proportion of 6:2:2. We utilized the exactness rate to judge the models forecast exactness. After preparing, the expectation precision of this show increments, and the precision rate of the test set comes to 96%. This implies that this machine learning show can reasonably foresee computer science students heading and give them way better career improvement proposals. In the future, we will encourage optimising the demonstration to make strides in the forecast exactness and apply it to a broader run of areas.
Synaptic device-based neuromorphic computing in artificial intelligence
Authors: Guo Zhonghao
Published: May 2024

The application of synaptic device-based neuromorphic computing in artificial intelligence is an emerging research field aimed at simulating the structure and function of the human brain and realizing high-efficiency, low-power, and adaptive intelligent computing. This paper reviews the principles, growth and challenges of neuromorphic devices based on synapses computing and its applications and perspectives in artificial intelligence fields like an image processing as well as natural language processing. The paper first introduces the basic concepts, properties and classification of synaptic devices, as well as the basic framework and algorithms of neuromorphic computing. Then, the paper analyzes the advantages and difficulties of neuromorphic computing based on synaptic devices, including the preparation, testing, modelling and integration of the devices, as well as the systems architecture, programming and optimization. Then, this paper gives examples of the applications and effects of synaptic device-based neuromorphic computing in artificial intelligence fields such as image processing and natural language processing, including image denoising, image segmentation, image recognition, text classification, text summarization, and text generation. Finally, this paper summarizes the current research status and future synaptic device-based neuromorphic computing trends. It puts forward some research directions and suggestions to promote the development and innovation in this field.
Preliminary geological route selection research on the controlling section of the 2nd route of Xinjiang-Tibet highway
Authors: Chen Junan , Liu Weidong , Wang Luwen , Shen Zhongchao
Published: May 2024

The Kuyake Canyon is a controlling section of the second line of the Xinjiang-Tibet Highway. The canyon is a fault basin formed by multiple periods of left-lateral strike-slip on the southern edge of the Altun Mountains fault, has extremely complex geological structures and a variety of adverse geological phenomena. Through the process of analysing obscure and symptomatic undesirable geological phenomena, we summarized the ideas for geological alignment selection of strategic highways in high- altitude uninhabited areas, that is, taking highway construction goals as the premise, long-term operational safety as the foundation, and quick repairs as the core. According to the sensitivity of the highway to adverse geology, comprehensive consideration, retaining the big and letting go of the small, to ensure the achievement of the highway construction goals.
Epidemiologia de Ehrlichia canis: aspectos hematológicos, bioquímicos, fatores associados e moleculares em cães hígidos no município de Porto Seguro, Bahia, Brasil
Authors: Carvalho Jamille Pinto dos Santos , Calazans Ana Paula Fernandes , Oliveira Gabriela Mota Sena de , Alves Lilia Fernandes , Santos Larissa da Mata , Silva Fernando Bellice , Munhoz Alexandre Dias
Published: May 2024

Este estudo observacional transversal teve como objetivo investigar a frequência, fatores associados e avaliar as alterações hematológicas e bioquímicas da infecção por E. canis em 396 cães saudáveis e domiciliados do município de Porto Seguro, Bahia. Além da coleta de amostras de sangue, foram obtidas informações adicionais sobre características intrínsecas e extrínsecas dos cães por meio de entrevistas semiestruturadas com seus tutores, a fim de identificar os fatores associados à infecção. Foi realizada a extração de DNA das amostras de sangue e pesquisa de E. canis pela técnica de nested PCR. A frequência de E. canis encontrada foi de 30,8% (122/396). Observou-se que a trombocitopenia (p<0,05) foi a alteração hematológica mais evidente entre os cães infectados por E. canis. Verificou-se que cães positivos possuem maior probabilidade de terem trombocitopenia, leucopenia e anemia em comparação aos animais negativos (p<0,05). Por meio do modelo de regressão logística, identificou-se que a presença de carrapatos (odds ratio [OR] = 1,66; intervalo de confiança [IC]: 1,05 - 2,63; valor p = 0,03) e residir na zona urbana (OR = 1,90; IC: 1,19 - 3,04; valor p = 0,007) foram fatores de risco para a infecção, enquanto morar próximo a áreas desmatadas (OR = 0,56; IC: 0,31 - 0,99; valor p = 0,05) e ter hábito domiciliar (OR = 0,51; IC: 0,31 - 0,85; valor p = 0,01) foram identificados como fatores de proteção. A elevada frequência de E. canis, combinada com a trombocitopenia e fatores associados que sinalizam para adoção de medidas de controle de carrapatos e diagnóstico da infecção, contribuem para uma melhor compreensão da epidemiologia local da infecção.
Agrobio-economic return in radish–coriander intercropping under green manuring and population densities
Authors: Silva Gerlani Alves da , Bezerra Neto Francisco , Lima Jailma Suerda Silva de , Lino Francisca Karla Kelly da Silva , Silva Erivan Alves da , Assis Filho Joaquim da Silva , Lino Vitor Abel da Silva , Santos Elizangela Cabral dos
Published: May 2024

Radish and coriander are vegetables that complement each other when intercropped under organic fertilizer and the ideal density of the component crops. In view of this, this study aimed to evaluate the treatments, similar amounts of green manure and population densities of coriander in the biological parameters of the radish–coriander intercrop and determine the interaction between these treatments that provides the greatest economic return in a semi-arid environment. The experimental design used was randomized blocks, with treatments arranged in a 4 × 4 factorial scheme with four replications. The first factor consisted of Merremia aegyptia and Calotropis procera biomass amounts in the proportion of 50% for each green manure at doses of 20, 35, 50 and 65 t ha−1 on a dry basis. The second factor comprised four coriander population densities of 400, 600, 800 and 1000 thousand plants ha−1. The radish and coriander cultivars planted were ‘Crimson Gigante’ and ‘Verdão’, respectively. Significant agro-biological returns from this radish–coriander intercrop were obtained at a land equivalent ratio of 2.00, intercropping advantage of 11.39, canonical variable Z score of 2.45, radish aggressivity over coriander of 1.04, and actual yield loss of 2.15 with the incorporation of 65 t ha−1 of hairy woodrose and roostertree into the soil using a coriander population density of 1 million plants ha−1. The greatest economic return from radish–coriander intercropping (107,278.10 BRL ha−1) was achieved with the application of 25.88 t ha−1 of green manure biomass to the soil and a coriander population density of 1 million plants ha−1.
Early Diagnosis of Lung Infection via Deep Learning Approach
Authors: A. Shames Marwa , Y. Kamil Mohammed
Published: May 2024

The rapid global spread of COVID-19 and RT-PCR tests are insensitive in early infection phases, according to hospitals. To find Covid-19, a fast, accurate test is needed. CT scans have shown diagnostic accuracy. CT scan processing using a deep learning architecture may improve illness diagnosis and treatment. A deep learning system for COVID-19 detection was derived using CT scan features. Using and comparing numerous transfer-learning models, fine-tuning, and the embedding process yielded the best infection diagnostic results. All models' diagnostic effectiveness was assessed using 2482 CT scan images. The optimized model demonstrated encouraging outcomes by significantly enhancing the sensitivity metric (86.26±1.72), a critical factor in accurately detecting COVID-19 infection. Additionally, the resulting model demonstrated elevated values for accuracy (81.15±0.17), specificity (77.90±1.33), precision (76.79±0.80), F1_score (81.24±0.37), and AUC (81.88±0.2). Deep learning methodologies have been effectively employed to detect COVID-19 in chest CT scan images. In the future, the suggested approach may be employed by clinical practitioners to study, identify, and effectively mitigate a greater number of pandemics.
Diagnosis of COVID-19 in X-ray Images using Deep Neural Networks
Authors: Younus Alsaati Mohammed Akram
Published: May 2024

The global COVID-19 pandemic has presented unprecedented challenges, notably the limited availability of test kits, hindering timely and accurate disease diagnosis. Rapid identification of pneumonia, a common COVID-19 consequence, is crucial for effective management. This study focuses on COVID-19 classification from Chest X-ray images, employing an innovative approach: adapting the Xception model into a U-Net architecture via the Segmentation_Models package. Leveraging deep learning and image segmentation, the U-Net architecture, a CNN variant, proves ideal for this task, particularly after tailoring its output layer for classification. By utilizing the Xception model, we aim to enhance COVID-19 classification accuracy and efficiency. The results demonstrate promising autonomous identification of COVID-19 cases, offering valuable support to healthcare professionals. The fusion of medical imaging data with advanced neural network architectures highlights avenues for improving diagnostic accuracy during the pandemic. Notably, precision, recall, and F1 scores for each class are reported: Normal (Precision = 0.98, Recall = 0.9608, F1 Score = 0.9704), Pneumonia (Precision = 0.9579, Recall = 0.9579, F1 Score = 0.9579), and COVID-19 (Precision = 0.96, Recall = 0.9796, F1 Score = 0.9698). These findings underscore the effectiveness of our approach in accurately classifying COVID-19 cases from chest X-ray images, offering promising avenues for enhancing diagnostic capabilities during the pandemic.
Ảnh hưởng của linh hoạt tài chính đến giá trị các công ty cổ phần phi tài chính niêm yết
trên thị trường chứng khoán Việt Nam
Authors: Chi Thị Thu Thủy
Published: May 2024

Mục tiêu của nghiên cứu là xác định ảnh hưởng của linh hoạt tài chính (FF) đến giá trị các công ty cổ phần (CTCP) phi tài chính niêm yết trên thị trường chứng khoán (TTCK) Việt Nam với biến kiểm soát là hiệu quả tài chính (ROE), giá trị công ty giai đoạn trước và biến điều tiết là rủi ro hệ thống (beta). Nghiên cứu ứng dụng phương pháp bình phương tối thiểu tổng quát khả thi (FGLS) với sự hỗ trợ của phần mềm Stata 17. Mẫu nghiên cứu được sử dụng gồm 633 CTCP phi tài chính trong giai đoạn từ quý 1 năm 2021 đến quý 1 năm 2023. Nghiên cứu đã chứng minh được ảnh hưởng tích cực của linh hoạt tài chính, linh hoạt tiền và linh hoạt nợ đến giá trị các CTCP phi tài chính niêm yết trên TTCK Việt Nam tại mức ý nghĩa 1%. Hơn nữa, kết quả nghiên cứu cũng cho thấy các công ty có hiệu quả tài chính hiện tại và giá trị của công ty trong quá khứ cũng giúp gia tăng giá trị công ty. Cuối cùng, nghiên cứu cho thấy rủi ro hệ thống làm giảm tác động tích cực của linh hoạt tài chính đến giá trị công ty. Trên cơ sở kết quả nghiên cứu mối quan hệ giữa linh hoạt tài chính và giá trị công ty, nghiên cứu đưa ra một số đề xuất đối với công ty trong duy trì mức linh hoạt tài chính nhằm gia tăng giá trị của công ty.
Các yếu tố ảnh hưởng đến tỷ lệ huy động tiền gửi không kỳ hạn của các ngân hàng thương mại cổ phần niêm yết tại Việt Nam
Authors: Nguyễn Quỳnh Trang , Nguyễn Thị Thanh Phương
Published: May 2024

Nghiên cứu được thực hiện nhằm đánh giá thực trạng tỷ lệ huy động tiền gửi không kỳ hạn của các Ngân hàng thương mại cổ phần niêm yết tại Việt Nam. Dữ liệu phân tích từ Báo cáo tài chính của 27 ngân hàng niêm yết trong giai đoạn từ 2018 đến 2023 cho thấy tỷ lệ huy động tiền gửi không kỳ hạn (CASA) của các ngân hàng trong giai đoạn nghiên cứu tương đối thấp và có sự chênh lệch rất lớn giữa các nhóm. Bên cạnh đó, các mô hình hồi quy (OLS, FEM, REM) được sử dụng để kiểm định mức độ ảnh hưởng của các yếu tố đến tỷ lệ huy động tiền gửi không kỳ hạn. Kết quả phân tích cho thấy các yếu tố quy mô, khả năng sinh lời tác động cùng chiều với tỉ lệ CASA. Ngược lại, lạm phát, tăng trưởng kinh tế và khả năng thanh khoản có tương quan nghịch với chỉ số này. Ngoài ra, nghiên cứu chưa tìm thấy bằng chứng thực nghiệm về ảnh hưởng của lãi suất thực và tỷ lệ nợ xấu đến tỉ lệ CASA của các NHTMCP niêm yết tại Việt Nam. Các phát hiện có ý nghĩa với cả các NHTM và các cơ quan quản lý Nhà nước nhằm ổn định tình hình huy động tiền gửi không kỳ hạn, đáp ứng nhu cầu sử dụng vốn và an toàn hệ thống ngân hàng trong thời gian tới.
Assessment of therapeutic benefit obtained on administering nintedanib with respect to pulmonary function parameters in COVID-induced pulmonary fibrosis – A prospective study
Authors: Das Maumita , Banerjee Tanmoy , Banerjee Debjani , Mitra Krishnachura
Published: May 2024

Background: The COVID-19 infection has not only affected the patients in the acute phase but also has left several long-term sequels which are becoming clinically evident in the long run. The development of pulmonary fibrosis following recovery from COVID-19 is presently a cause of concern worldwide. Fibrosis of the lungs is a long-term ongoing inflammatory disorder which causes functional impairment and chronic pulmonary insufficiency. It is observed that the profibrotic mechanisms responsible for causing post-COVID lung fibrosis have some resemblance with that of autoimmune interstitial lung disease (ILD). Nintedanib, a tyrosine kinase inhibitor, is reported to block the profibrotic cytokine receptors. It is thus being administered widely for disease modification in idiopathic pulmonary fibrosis, a progressive and fatal form of ILD.

Aims and Objectives: The present study tries to establish that nintedanib has a therapeutic role to prevent lung function impairment in the post-recovery pulmonary fibrosis patients of COVID-19 disease.

Materials and Methods: 50 adult patients having fibrotic changes in the computed tomography scan of the chest, following recovery from coronavirus disease, were chosen. They were divided into two categories. Both the categories were given the treatment of lung fibrosis as per the standard regimen. In addition, only one of the categories received the recommended dose of nintedanib. A pulmonary function test (PFT) was performed on the patients of both categories on day 1 and day 90. A comparison of the PFT variables was done by statistical analysis.

Results: The PFT parameters of both groups were similar on day 1. On day 90, most of the spirometry variables of the patients administered with nintedanib along with the standard treatment regimen showed statistically significant improvement with respect to the values on day 1. The lung function test variables of the group receiving nintedanib were also significantly better than those not receiving it, as observed on day 90.

Conclusion: As the spirometry variables of the patients following recovery of coronavirus disease with confirmed fibrosis of the lungs showed significant improvement after receiving nintedanib, it can be concluded that nintedanib may be useful in treating such cases.
Gene editing for increased tuber protein utilization in potato (Solanum tuberosum)
Authors: Friberg Martin
Published: May 2024

As awareness of climate change and the need for a more plant based diet spreads, so has interest in novel protein sources. One crop that has been gaining interest in the protein field is potato. Especially potatoes grown for the starch industry have been discussed since tuber proteins are accumulated in one of the side streams of starch processing. In this thesis, I discuss the potential of using precision editing technologies such as base editing and prime editing to modify potato proteins to make this under-utilized resource available. Starting with patatin, a protein that is already a by-product from starch industry. It was shown that several patatin genes can be targeted at once using CRISPR/Cas9, meaning the family is a viable target. Furthermore, expression analysis showed that a majority of transcripts were represented by only a few genes, suggesting that total gene coverage is unnecessary. A second protein of interest, Pho1a, was investigated. While one of the most abundant proteins in potato tubers, its function remains the source of much debate. Mutant lines deficient in Pho1a activity were produced and analysed for phenotypic effects, showing low amylose content and small starch granules. Since these are detrimental traits in starch production, Pho1a, could be an interesting target for enhancing edits in the future. Finally, a gene editing toolbox was developed, utilizing adapter proteins to allow modular assembly of fusion constructs for CRISPR/Cas editing. It was shown that addition of the adapter domains did not affect Cas9 efficiency. While initial experiments using prime editing were unsuccessful, the underlying principles remain robust.
Digital Investigations: Navigating Challenges in Tool Selection for Operating System Forensics
Authors: Kausar Parveen
Published: May 2024

The process of gathering, identifying, extracting, and documenting electronic evidence for use in court is known as "digital forensics." We have a lot of tools at our disposal to make this procedure quick and straightforward. Four tools have been selected for investigation and analysis in this work. For every kind of digital forensics, the top tools have been selected based on several criteria. For computer forensic tools, (Stellar and Forensic Tool Kit) have been investigated; for network forensic tools, Network Map has been selected, and OSF mount has been examined as a live forensic tool. Other forensic tool types, such as database, operating system, and mail forensic tools, are also covered in this work. The role of Artificial intelligence in Digital Forensic tools has been discussed in this paper by using both Decision Stump and Bayes net machine learning techniques. After making an investigation of the IoT device traffic dataset using these two techniques, Decision Stump gives us less accurate results compared with Bayes net.