bluuebunny/crossref_metadata_2025 huggingface dataset:
Automatic segmentation of intracranial hemorrhage using coarse and fine deep learning models
Authors: Qayyum Abdul , Khan Mohamed Khan Afthab Ahamed , Mukhtar Rana Umar , Mazher Moona , Mokayef Mastaneh , Ang Chun Kit , Hong Lim Wei
Published: November 2024

To save patients’ lives, it is important to go for an early diagnosis of intracranial hemorrhage (ICH). For diagnosing ICH, the widely used method is non-contrast computed tomography (NCCT). It has fast acquisition and availability in medical emergency facilities. To predict hematoma progression and mortality, it is important to estimate the volume of intracranial hemorrhage. Radiologists can manually delineate the ICH region to estimate the hematoma volume. This process takes time and undergoes inter-rater variability. In this research paper, we develop and discuss a fine segmentation model and a coarse model for intracranial hemorrhage segmentations. Basically, two different models are discussed for intracranial hemorrhage segmentation. We trained a 2DDensNet in the first model for coarse segmentation and cascaded the coarse segmentation mask output in the fine segmentation model along with input training samples. A nnUNet model is trained in the second fine stage and will use the segmentation labels of the coarse model with true labels for intracranial hemorrhage segmentation. An optimal performance for intracranial hemorrhage segmentation solution is obtained.
Political economy analysis of the dissemination and use of seasonal weather forecasts and services in Zimbabwe
Authors: Manzvera Joseph , Anaman Kwabena Asomanin
Published: November 2024

Weather and climate services are essential tools that help farmers make informed choices, such as choosing appropriate crop varieties. These services depend considerably on the availability of adequate investments in infrastructure related to weather forecasting, which are often provided by the State in most countries. Zimbabwean farmers generally have limited access to modern weather and climate services. While extensive attempts have been made to investigate farmers’ socioeconomic factors that influence access to and use of weather and climate services, comparative political economy analysis of weather and climate service production and use is limited. To address this knowledge gap, this study examines the production, dissemination, and usage of modern seasonal weather services through a political economy analysis perspective. The findings of this study highlight considerable discrepancies in access and use of seasonal weather forecasts between male and female farmers, those who practise African Traditional Religions versus Christians, and the minority group (Ndau tribe) and the majority group (Manyika tribe). This result suggested the presence of social marginalization. For example, minority Ndau members living in remote areas with limited radio signals and a weak mobile network have limited access to modern seasonal weather forecasts, forcing them to rely much more on indigenous weather forecasts. Further, due to unequal power relations, a greater proportion of male farmers participated in agricultural policy formation processes than their female counterparts. To promote inclusive development and implementation, deliberate efforts need to be made by State authorities to incorporate adherents of African traditional religions, members of minority tribes and female farmers in agricultural policymaking processes, including seasonal weather forecast delivery policies. Further, the study suggests the relaxation or elimination of international sanctions on Zimbabwe by the European Union, United Kingdom and the United States of America, given that they are considerably affecting marginalized groups of farmers in their climate change adaptation practices, including the use of modern weather and climate services. The vast majority of these marginalized farmers never benefitted from the land reform programme and were also not responsible for the design and implementation of this programme which triggered these sanctions.
Children’s personal information and personal data protection under the laws of the EU, US and Vietnam
Authors: Lâm Tố Trang
Published: November 2024

The explosion of information technology, besides its positive aspects, has raised many issues related to personal information and personal data in the network environment. Because children are vulnerable to abuse, fraud and exploitation, protecting children’s personal information and personal data is always of concern to many countries. From the concept and characteristics of personal information and personal data of children in Europe, the United States and Vietnam, it can be seen that children’s personal information and personal data protection is very necessary in every country today. This research focuses on the age considered a child, the child’s consent and his or her parental consent when providing and processing personal information or personal data of children under the laws of the EU, US and Vietnam. Therefore, the article proposes some recommendations related to the child’s consent and his or her parental consent in protecting children’s personal data in Vietnam.
Determinants of intention to adopt blockchain technology in oil & gas sector in Iraq
Authors: Hadi Almher Mustafa Ahmed , Thiruchelvam Sivadass A. L. , Mat Isa Abdul Aziz Bin
Published: November 2024

Blockchain technology is poised to significantly transform the corporate world, heralding a new era of innovation and efficiency. Over the past few years, its impact has been noted by leaders, academics, and government representatives around the globe this growing interest underscores businesses’ need to evolve and reconsider traditional operational models. To remain competitive, organizations must embrace this change. Before introducing such ground-breaking technology, it is crucial to assess the motivations of primary stakeholders concerning its implementation. This study looks into what influences the use of Blockchain technology in the oil and gas sector, primarily using a quantitative survey of Iraqi oil and gas companies. A questionnaire was distributed among 250 top-level managers, senior executives, project managers, and IT managers for analyzing the data, the study employs the Structural Equation Modelling-Partial Least Squares (SEM-PLS) technique, with Smart PLS for data processing. The findings suggest that the intention to utilise blockchain technology is influenced by one’s attitude towards it. Competitive pressure (environmental factors), functional benefit, and privacy/security (technological factors) significantly affect blockchain adoption intention. Nevertheless, there was no discernible correlation between regulatory backing and the desire to use Blockchain. Additionally, cost concern and perceived risk (organizational factors) two factors contribute negatively to the perception of blockchain technology. Besides the direct relationship, the findings revealed that attitude toward blockchain technology mediate the relationship between cost concern, perceived risk, and intention to adopt Blockchain. Built upon the Technology-Organization-Environment (TOE) model and the Theory of Reasoned Action, this research offers a comprehensive framework for investigating the intention to adopt blockchain technology. The results enhance both theoretical understanding and practical implementation by providing valuable insights into the emerging area of blockchain adoption intentions.
Construction and application research of intelligent classroom teaching system based on TPACK level of normal students in Chinese colleges and universities
Authors: Lu Yingdi , Said Mohd Nihra Haruzuan Bin Mohamad
Published: November 2024

Technical Pedagogical Content Knowledge (TPACK) encompasses teachers’ understanding of the intricate interplay among technology, pedagogy, and subject matter expertise, serving as the essential knowledge base for integrating technology into subject-specific instruction. Over the decade, advancements in information technology have led to the consistent application of the TPACK framework within studies on instructional technology and technology-enhanced learning, significantly advancing the evolution of contemporary teacher education in technology integration. In this paper, we utilize the Teaching and Learning Knowledge of Subjects Based on Integrated Technology (TPACK) framework to administer a questionnaire survey to teacher trainees at Chinese colleges and universities. This survey aims to evaluate the current status of their integrated technology-based subject teaching and learning knowledge. Based on the research findings, we propose strategies aimed at enhancing the educational technology integration knowledge of students pursuing integrated technology courses in colleges and universities. Furthermore, we integrate the smart classroom setting to develop a comprehensive TPACK-integrated model teaching framework. Our final objective is to offer valuable references for the progress of modern teaching skills among education students in higher education institutions.
Synthetic composite membranes and their manifold applications: A comprehensive review
Authors: Arsalan Mohd , Akhtar Suzain , Khan Mohammad Ehtisham
Published: November 2024

Synthetic membranes play a crucial role in a wide range of separation processes, including dialysis, electrodialysis, ultrafiltration, and pervaporation, with growing interest in synthetic emulsion membranes due to their precision, versatility, and ion exchange capabilities. These membranes enable tailored solutions for specific applications, such as water and gas separation, wastewater treatment, and chemical purification, by leveraging their multi-layered structures and customizable properties. Emulsion membrane technology, particularly in pressure-driven methods like reverse osmosis (RO) and nanofiltration (NF), has shown great potential in overcoming traditional challenges, such as fouling and energy inefficiency, by improving filtration efficiency and selectivity. This review explores the latest advancements in emulsion membrane development, their adaptability to various industrial needs, and their contribution to addressing long-standing limitations in membrane separation technologies. The findings underscore the promise of emulsion membranes in advancing industrial processes and highlight their potential for broader applications in water treatment, environmental management, and other key sectors.
A entrada do Brasil na OCDE: possíveis pontos positivos e negativos ao plano interno
Authors: Bortoletto Camila Strzelecki , Gonçalves Ane Elise Brandalise
Published: November 2024

Quais os principais pontos positivos e negativos da entrada do Brasil na Organização para a Cooperação e Desenvolvimento Econômico (OCDE)? O Brasil formalizou, em 2017, o pedido de ingresso na OCDE e, em 2022, o pedido foi aceito pela Organização, o que deu início a um demorado processo de acessão, que exige do país um alinhamento com os padrões da Organização, além da adesão a diversos instrumentos normativos. Inserido nessa conjuntura, e tendo como problema de pesquisa justamente a entrada brasileira à OCDE, o presente artigo busca, a partir de um estudo das Organizações Internacionais e da OCDE, delinear, de maneira exemplificativa, alguns pontos positivos e negativos que podem surgir tanto durante o processo de acessão quanto na eventual aceitação do país como membro-pleno da Organização. Referidos pontos positivos e negativos são apresentados a partir de uma junção de cenários encontrados em artigos e pesquisas sobre o assunto, além dos identificados nos dados coletados. Conclui-se que o processo de adesão requer invariável ponderação dos prós e contras, assim como demanda discussões para fins de alçar desenvolvimento econômico.
Complete blood count parameters and inflammation-related biomarkers in patients with colorectal carcinoma
Authors: Koržinek Martha , Ćelap Ivana , Fabijanec Marija , Žanić Tena , Ljubičić Neven , Baršić Neven , Verbanac Donatella , Barišić Karmela , Rajković Marija Grdić
Published: November 2024

The aim of this study was to determine whether there are differences in complete blood count parameters (CBC) and inflammation-related biomarkers, MPV/PC, PLR, NLR, LWR, LMR, NMR, and LCR, among patients with colorectal carcinoma (CRC) and patients with colorectal adenomas. The study included 155 patients who were divided into two groups according to histopathological analysis – 74 adenomas patients and 81 CRC patients. A routine examination of CBC was conducted on Sysmex XN1000 whereas CRP was measured on Alinity ci-series. Statistical analysis was performed by ROC curve analysis using MedCalc Statistical Software. In CRC patients, hemoglobin concentration, hematocrit, MCV, MCH, and MCHC were lower, while RDW was higher (p < 0.001), compared to patients with adenomas. Total leukocyte count (p = 0 .006), absolute neutrophils (p = 0.005), and absolute monocytes (p = 0.007) were lower while relative eosinophils (p = 0.001) and relative basophils (p = 0.001) were higher in CRC patients. Platelet count (p < 0.001) was significantly higher and MPV (p = 0.003) was significantly lower in CRC patients. Furthermore, MPV/PC (p < 0.001) was significantly lower and PLR (p < 0.001) was significantly higher in CRC. Moreover, Receiver Operating Characteristic (ROC) analysis revealed poor diagnostic accuracy, for all tested parameters (AUC was 0.7 or less). PC, MPV, MPV/PC, and PLR were significantly different between study groups, but ROC analysis revealed poor diagnostic accuracy. Lower hemo globin levels in CRC patients are possibly due to more frequent and excessive bleeding. Higher levels of basophils and eosinophils in CRC patients are indicators of inflammatory reaction, which is linked to CRC.
Wagner's law. Comparative verification of global trends and regional policy in the southern regions of the Central Federal District of the Russian Federation
Authors: OKOROKOV Vladimir M. , KLIKUNOV Nikolai D. , ZYUKIN Dmitrii V. , OKOROKOVA Polina V.
Published: November 2024

Subject. This article discusses the issues related to the contribution of the State to the formation of the gross domestic product of developed countries.
Objectives. The article aims to verify Wagner's law on the basis of a long and medium time series of consolidated regional budget expenditures and gross regional products of the Kursk, Bryansk, Orel, Lipetsk, Voronezh, and Belgorod Oblasts in comparison with global trends.
Methods. For the study, we used a statistical analysis of the time series and comparative analysis.
Results. The article presents the results of verification of Wagner's law on the statistical data of economically developed countries and confirms its significance. The article finds that the share of the State in the gross product in developed countries and regions of Russia is growing in the long term, but demonstrates cyclicality in the medium term.
Conclusions. The development of Russia and its regions is in line with global trends and demonstrates the growing role of the State in the economy.
State support of regional innovation clusters as a tool for improving the competitive stability of regions: International practices
Authors: KONSTANTINOVA Marina A.
Published: November 2024

Subject. This article discusses the issues of improving the competitive stability of countries and regions, and the search for new forms of production organization.
Objectives. The article aims to analyze the formation of cluster structures in developed countries.
Methods. For the study, I used the general scientific research methods.
Results. The article finds that a cluster is a network of territorially connected and mutually supportive enterprises. Improving the competitive stability of enterprises, regions and the national economy as a whole is ensured by vertical ties between producers and buyers, grouped around the scientific and educational center, with authorities at various levels.
Conclusions. Industrial-territorial clusters develop successfully if their functioning creates a synergistic effect.
Improving the regional economy's innovative development mechanism: The Republic of Tajikistan case study
Authors: KHUDOEROV Akbar А.
Published: November 2024

Subject. The article discusses the problems of modernization of agriculture in the Republic of Tajikistan.
Objectives. The article aims to analyze the impact of new technologies on production processes in agriculture of the Republic of Tajikistan.
Methods. For the study, I used the general scientific research methods.
Results. The article finds that in a hot climate and water shortage, drip irrigation technologies are the main factors in increasing yields.
Conclusions. The article concludes that land restrictions should be considered as a threat to economic freedom and national security.
The impact of innovative development on the Novosibirsk Oblast's economy
Authors: VANDAKUROV Aleksandr A.
Published: November 2024

Subject. This article analyzes statistical indicators of investment activity in the Novosibirsk Oblast and their relationship with indicators of economic well-being.
Objectives. The article aims to assess the trends in the development of innovation in the economy of the Novosibirsk Oblast.
Methods. For the study, I used econometric modeling.
Results. The article identifies trends in the indicators of the development of the innovation sphere and their relationship with the gross regional product per capita in the Novosibirsk Oblast for 2000–2022. The article finds that changes in the indicators of innovative development affect the level of well-being with a delay of 11 to 16 years.
Relevance. The results obtained can be taken into account when managing the regional innovative development.
AVALIAÇÃO DOS ALERTAS DE SALMONELA SOBRE O COMÉRCIO INTERNACIONAL BRASILEIRO
Authors: Heibel Machado Gabriel , Viana Martins Michelle Márcia , Lana Pinto Victor Henrique
Published: November 2024

Este estudo examinou a influência das notificações sanitárias e fitossanitárias (SPS) com conteúdo salmonela sobre as exportações agrícolas brasileiras, entre 2000 e 2020. Tais medidas podem apresentar resultados negativos, ao se relacionar com os altos custos de conformidade enfrentados pelo exportador, para garantir que sua produção garanta a segurança ao consumidor; ou positivos, ao reduzir as assimetrias de informação e ampliar os envios para os parceiros comerciais. O efeito predominante, positivo ou negativo, é uma questão empírica. Foi realizado, primeiro, uma análise descritiva para caracterizar as medidas SPS com conteúdo salmonela. Posteriormente, procedeu-se à análise econométrica a partir do modelo gravitacional. Constatou-se que os países desenvolvidos são aqueles que mais emitem notificações, e que grande parte das medidas ocorreram para produtos vegetais, o que não era esperado, dada a recorrente associação da salmonela aos produtos de origem animal. Pela análise econométrica, obteve-se o resultado de que as notificações SPS afetam as exportações brasileiras de forma negativa. Ou seja, a incidência de medida SPS relativa à salmonela tende a reduzir as exportações de bens agrícolas brasileiras.
Psychological Capital of Resilience for Students with Disabilities in Open Distance e-Learning Institutions post-Covid 19 Pandemic
Authors: Methi Lina Mmakgabo
Published: November 2024

The Covid-19 pandemic has exacerbated the risks that impacted the mental health of students with disabilities, particularly in Open Distance e-Learning (ODeL) institutions. Students with disabilities, already facing significant barriers to participation and learning, encountered additional challenges with online instruction during the pandemic. Experts in inclusive education revealed pronounced disparities in access to quality, inclusive education, as well as significant learning gaps among students with disabilities (SWD) both during and after the pandemic. Students with disabilities have suffered disproportionate educational consequences alongside health-related deprivations. This study examined how SWD were impacted post-Covid-19 pandemic and the psychological capital (PsyCap) of resilience as their protective source. The study undertook a narrative review of literature from secondary data on Google Scholar from 2020–2024. The study was underpinned by a conceptual framework rooted in the PsyCap of resilience to promote mental health and academic success in vulnerable student populations. The pandemic intensified concerns about equitable access to quality education and highlighted the limitations of support systems for SWD. The findings aim to improve adaptive coping mechanisms for these students, ensuring they are better equipped to navigate future crises through flexible learning modalities and inclusive technologies. This study underscores the critical need for resilient, inclusive educational frameworks in ODeL settings to foster the success and well-being of SWD in a rapidly changing educational landscape.
Perfil microbiológico de sensibilidad y resistencia antimicrobiana en un hospital general de la selva peruana 2021
Authors:   Facultad de Medicina, Universidad Nacional Mayor de San Marcos. Lima, Perú., Amado Jose , Achong-Sánchez Javier ,   Facultad de Medicina, Universidad Nacional Mayor de San Marcos. Lima, Perú., Lazo-Paredes Ruth ,   CAP II EsSalud Nauta. Loreto, Perú
Published: November 2024

Introduction: Antimicrobial resistance increases hospital mortality and is a public health problem. Objective: to determine the characteristics of microorganisms isolated from hospitalized patients and to detail antimicrobial sensitivity profiles. Methodology: cross-sectional study Cross-sectional study in a hospital in the Peruvian jungle during 2021. The type of microorganism, antimicrobial sensitivity (VITEK ® 2 bioMérieux), source of isolation, patient age and hospitalization service were identified. Results: 477 positive cultures were included in 453 patients. The samples came from bronchial secretion 54.9%, blood 35.2%, urine 6.5% and others 3.4%. The hospital services of origin were emergency 49.9%, intensive care unit 40.0%, medicine 9.6% and surgery 0.5%. Gram negative bacteria (74.6%), Gram positive bacteria (16.4%) and fungi (9%) were isolated. The most frequently isolated microorganisms were Acinetobacter baumannii complex (32.7%), Klebsiella pneumoniae ssp. (16.8%) and Pseudomonas aeruginosa (13.4%). Antimicrobial resistance for the most frequently isolated microorganisms was: Acinetobacter baumannii complex, XDR in 88.5%; Klebsiella pneumoniae ssp., MDR in 56.3%; Pseudomonas aeruginosa, XDR in 54.7%; Staphylococcus epidermidis, MDR in 92.3%; and Staphylococcus haemolyticus, MDR in 100%. Conclusions: Gram-negative bacteria are the most prevalent, being more affected hospital critical areas, finding a high percentage of antimicrobial resistance.
Evolution of photodynamic therapy in the management of actinic keratosis: how effective and safe is it according to current evidence?
Authors:   Universidad Nacional de Colombia, Vargas-Monroy Laura Valentina , Londoño-Serna Andrés Felip ,   Remington University Corporation, Grisales-Cano Duvan Alejandro ,   Cooperative University of Colombia, Jaraba-Herazo Carlos Andrés ,   University of Applied and Environmental Sciences, Peña-Chamorro Ivan Andres ,   University of Cartagena, Bustillo-Orozco Max Jesus ,   University of the North, Montenegro-Salcedo Zulmy Valeria ,   University of Cauca, Ortega-Sierra Michael ,   Universidad Centroccidental Lisandro Alvarado
Published: November 2024

Actinic keratosis is a premalignant dermatological condition characterized by the potential to progress to squamous cell carcinoma. To date, there is no treatment with an adequate benefit-risk balance. Photodynamic therapy is proposed as one of the most effective therapeutic tools. However, there is still divergence regarding the quality of available evidence. The objective of this review is to analyze the most recent evidence on the therapeutic performance of photodynamic therapy in the management of actinic keratosis. A literature search was conducted in the PubMed, Scopus, and MEDLINE databases. Based on the most recent randomized controlled trial comparing the use of dynamic phototherapy combined with aminolevulinic acid without incubation versus incubation for one hour, it was found that the intervention group had a higher percentage of lesion resolution compared to the control group (49.5% vs. 34.9%, p=0.002), as well as less pain in the intervention group (p=0.03). In addition, a similar trend was observed in other studies, suggesting that this therapy could be effective and beneficial in the management of actinic keratosis. Despite the limited and heterogeneous evidence regarding the use of dynamic phototherapy and its various combined regimens for the management of actinic keratosis, there is a clear trend towards potential benefits compared to other therapies.
Computer aided diagnosis in mammograms for breast cancer screening
Authors:   Universidad Autónoma de Baja California, Lorenzo-Ramírez Marlene Alejandra , Pérez-Alvarado Valeria Michelle ,   Universidad Autónoma de Baja California, Ramírez-Villavicencio Fermín Paúl ,   Universidad Autónoma de Baja California, Sánchez-Cárdenas Jesse ,   Universidad Autónoma de Baja California, Orozco-Padilla Alma Teresa ,   Médico especialista en oncología clínica, Clínica privada, México., Avilés-Rodríguez Gener J ,   Universidad Autónoma de Baja California - Campus Ensenada
Published: November 2024

Securing access to quality healthcare services, particularly for essential screening tests like mammograms, presents a significant challenge in developing nations. Women often encounter extensive waiting periods, sometimes extending for several months, to undergo a mammogram. This crucial test plays a pivotal role in the early detection of breast cancer, where timely diagnosis is crucial for effective treatment and enhanced survival prospects. Delays in obtaining a diagnosis can significantly impact the health of patients and their well-being, underscoring the importance of early detection. Compounding these challenges is the scarcity of resources and healthcare professionals, which hinders swift and efficient access to preventive care. Such constraints underscore the pressing need for improvements in the interpretation of radiological studies and a reduction in the workload of imaging specialists. These improvements would not only optimize interdisciplinary collaboration but also enhance patient care, particularly for critical screenings like mammograms (3).

Technological advancements, particularly in artificial intelligence (AI), have significantly influenced numerous sectors, including healthcare (4). Yet, in areas such as Latin America, where the healthcare infrastructure and resources may not fully support the integration of advanced diagnostic techniques based on informatic tools, the potential of these innovations seems to be underutilized. A promising application of technology is in Computer-Aided Diagnosis (CAD) for breast cancer screening with mammograms. CAD leverages vast datasets and pattern recognition algorithms to detect anomalies within mammograms, potentially facilitating the early identification of lesions. Given that breast cancer ranks among the most prevalent diseases affecting women globally, early detection is vital for enhancing patient survival rates and quality of life. Given these challenges, our study aims to examine the latest developments in artificial intelligence technology as a supplementary tool in CAD strategies for mammograms. Our goal is to foster better interdisciplinary collaboration among clinicians, radiologists, and pathologists through a state of the art (SOTA) review of the topic. By doing so, we anticipate streamlining the diagnostic workflow and elevating the efficiency of breast cancer detection and treatment processes.
Knockdown of ribosomal protein L22-like 1 arrests the cell cycle and promotes apoptosis in colorectal cancer
Authors: Li Chunming , Du Xinna , Zhang Hu , Liu Shuang
Published: November 2024

Objective:

Colorectal cancer (CRC) remains a remarkable challenge despite considerable advancements in its treatment, due to its high recurrence rate, metastasis, drug resistance, and heterogeneity. Molecular targets that can effectively inhibit CRC growth must be identified to address these challenges. Therefore, we aim to reveal the regulatory effect of ribosomal protein L22-like 1 (RPL22L1) on the proliferation and apoptosis of CRC cells and its potential mechanism.

Material and Methods:

We detected the expression of RPL22L1 from the Cancer Genome Atlas, Gene Expression Omnibus and UALCAN databases. The effects of RPL22L1 on CRC growth and migration were determined by knocking down RPL22L1 in human CRC cell lines and those on the cell cycle and apoptosis using flow cytometry. The influence of RPL22L1 knockdown on xenograft tumor growth was verified in vivo. The potential RPL22L1 mechanisms in promoting cancer were predicted with RNA sequencing (RNAseq). The molecular mechanism of enhanced apoptosis and cell cycle arrest in RPL22L1 knockdown was revealed using real-time reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR) and Western blotting.

Results:

The present study reveals a considerable upregulation of RPL22L1 expression in CRC as well as in diverse tumor tissues, and most cells within the CRC tumor microenvironment (TME) demonstrate RPL22L1 expression. Notably, this elevated expression level of RPL22L1 exhibits a strong association with an unfavorable prognosis among patients diagnosed with CRC (P < 0.05). Furthermore, the association between RPL22L1 expression and the CRC TME index did not exhibit statistical significance (P > 0.05). However, RPL22L1 knockdown experiments revealed a substantial suppression of growth and migratory capacities in CRC cells RKO and HCT116 (P < 0.05). Flow cytometry analysis exhibited that on RPL22L1 knockdown, a remarkable arrest of the G1 and S phases of the cell cycle (P < 0.05) occurred. In addition, a remarkable elevation in the level of cell apoptosis was observed (P < 0.001). RNAseq exhibited that cell cycle, DNA replication, and mechanistic target of rapamycin (mTOR) complex 1pathway were inhibited after RPL22L1 knockdown, whereas the apoptosis pathway was activated (P < 0.05). Validation through RT-qPCR and western blot analysis also corroborated the downregulation of P70S6K, MCM3, MCM7, GADD45B, WEE1, and MKI67 expression levels, following RPL22L1 knockdown (P < 0.05). Consequent rescue experiments offered supportive evidence, indicating the involvement of the mTOR pathway in mediating the influence of RPL22L1 on the promotion of cell cycle progression. Moreover, in vivo assays involving tumor-bearing mice exhibited that diminished RPL22L1 levels led to arrested CRC growth (P < 0.05).

Conclusion:

These findings support RPL22L1 as a possible prognostic and therapeutic target in CRC, providing novel insights into the development of anticancer medications.
Базовые компоненты аппаратно-программного комплекса моделирования и управления тороидальной плазмой методом эпсилон-сетей на гетерогенных мини -суперкомпьютерах
Authors: Ф.С. Зайцев , А.Г. Шишкин , А.А. Лукьяница , Е.П. Сучков , С.В. Степанов , Ф.А. Аникеев
Published: November 2024

С помощью гетерогенных мини-супер-ЭВМ НИИСИ РАН сделан существенный шаг в решении новых важных фундаментальных задач управления высокотемпературной плазмой то-роидальной конфигурации. Разработаны и реализованы базовые компоненты аппаратно-программного комплекса моделирования и автоматического управления плазмой в реальном масшта-бе времени с обратной связью. В основе комплекса лежит принципиально новый, более точный и на-дёжный алгоритм управления, использующий решение с заданной точностью ряда обратных диагно-стических задач методом ε-сетей. Продемонстрирована возможность применения предложенной ме-тодики во время разряда для обеспечения управления с обратной связью границей и внутренними па-раметрами плазмы. Показано, что комплекс позволяет исследовать процессы в уже эксплуатируемых и вновь проектируемых термоядерных установках, решать задачи использования термоядерного син-теза для производства энергии. Выработаны рекомендации для инженерного исполнения систем управления плазмой. Сформулированы направления дальнейших исследований.

A significant step was made in addressing new and important fundamental problems of high-temperature toroidal plasma control. The basic hardware and software components of complex for mod-eling and automatic real-time feedback plasma control were developed and implemented. The complex is grounded on a brand new, more accurate and reliable control algorithm that uses the solution to a given accu-racy by epsilon-nets of a number of inverse diagnostic problems. The possibility of applying the proposed method during discharge to provide feedback control of the plasma boundary and internal parameters was demonstrated. It is shown that the complex allows investigating processes in already exploited and newly de-signed thermo-nuclear devices and solving problems of using fusion for energy production. Recommenda-tions for the engineering implementation of plasma control systems are worked out. Directions for further re-search are formulated.
Резервирование каналов приёма-передачи данных в коммуникационных контроллерах встроенного применения
Authors: И.М. Косарев
Published: November 2024

Предложен алгоритм настройки, инициализации и контроля физического дуплексного канала связи с Nx/Mx/1x сигнальными парами, обеспечивающий многократное резервирование передающих линий с возможностью выбора числа резервных сигнальных пар. Представленные подходы к реализации обеспечивают максимальную пропускную способность в отсутствие ошибок и высокую надёжность физического канала приёма-передачи данных с сохранением высокой пропускной способности в случае повреждений и повторяющихся ошибок одной или нескольких линий связи.

Methods and link training algorithm for robust serial data links in a high speed serial interconnect having multiple Nx/Mx/1x data lanes with parallelism. Operational aspects of the interconnect provide highest data rate in serial interconnect having a plurality of data lanes n absence of link errors and high reliability of physical serial data interface combined with high data rate in case of multiple bit data errors or multi lane failures. Keywords: multi-lane channel data parallelism, robust serial data interface, link training and status state machine, crosslink.
Анализ причин неработоспособности кристаллов Ethernet контроллера 1990ВГ3Т
Authors: В.Ю. Троицкий , М.В. Орешков , А.А. Захарченко , А.П. Трепалин , Т.В. Петлицкая , В.А. Филипеня
Published: November 2024

Разработана и успешно опробована методика поэтапного исследования физико-технологических причин неработоспособности кристаллов интегральной микросхемы (ИМС) Ethernet контроллера 1990ВГ3Т с применением неразрушающих и разрушающих методов: - локализации дефектов по результатам функционального тестирования и регистрации фотоэмиссии, - послойного удаления слоёв металлизации, - нанозондирования электрофизических характеристик транзисторных структур, - исследования локализованной области на ионно-электронном микроскопе. Получены важные результаты, раскрывающие технологическую причину неработоспособности ИМС.
Способ интеграции табличных данных с целью оптимизации поиска
Authors: Г.Л. Левченкова
Published: November 2024

Рассматривается метод слияния табличных данных из нескольких документов с целью оптимизация поиска информации. В качестве исходных документов могут использоваться файлы, подготовленные вручную либо полученные путем экспорта из баз данных.
Определение коллизий аппроксимирующих капсул и прямоугольных параллелепипедов
Authors: М.В. Михайлюк , П.Ю. Тимохин
Published: November 2024

Определение коллизий (столкновений) трехмерных виртуальных динамических объектов в системах компьютерного моделирования является важной задачей вычислительной динамики. В настоящей работе предлагается алгоритм определения коллизий аппроксимирующих капсул с аппроксимирующими прямоугольными параллелепипедами.
Транзисторная гонка в космосе
Authors: М.С. Горбунов
Published: November 2024

3 ноября 1957 года Советский Союз запустил Второй искусственный спутник Земли с первым живым «пассажиром» - собакой Лайкой. Сенсационный успех и секретность проектов до сих пор оставляют «за кадром» выдающиеся достижения специалистов в области радиоэлектронной аппаратуры, чьё участие в космической гонке отечественной литературой практически не рассматривается, что совершенно несправедливо.
Тестирование инструментальных средств разработки ПО
Authors: В.А. Галатенко , К.А. Костюхин , М.Д. Дзабраев
Published: November 2024

Настоящая статья посвящена обзору инструментария автоматизированного тестирования DejaGnu, на основе которого в проекте GNU были разработаны тесты для GCC и GDB. Также в рамках данной статьи будут подробно рассмотрены тесты GCC и GDB, применяемые в ФГУ ФНЦ НИИСИ РАН для проверки качества разрабатываемых программных изделий

This article is devoted to a review of the automated testing tool DejaGnu. This tool is used in various GNU projects such as GDB and GCC. Also this work discuss tests of GCC and GDB, which used in SRISA RAS for testing the quality of these software products
Составление многопроцессорных расписаний с ограничениями на связи между процессорами
Authors: М.Г. Фуругян
Published: November 2024

Решается задача составления многопроцессорного расписания с прерываниями и ограниче-ниями на связи между процессорами. Кроме того, учитываются затраты на обработку прерываний и пере-ключений с одного процессора на другой. Разработаны алгоритмы, основанные на сведении исходной задачи к многопродуктовой потоковой задаче и целочисленной системе линейных ограничений

The problem of deadline scheduling in multiprocessor system with identical directive intervals and with cost accounting for interrupts is studied. The algorithm of construction of feasible schedule was elaborated. This algorithm is pseudopolynomial and has linear complexity depending on number of jobs when number of processors is fixed
Реализация возможности пошаговой отладки при отладке тестовых сценариев на модели СБИС СиК
Authors: А.В. Андрианов
Published: November 2024

При разработке и отладке программных тестов на модели СБИС средства пошаговой и интерактивной отладки в большинстве недоступны, а программные средства отладки, такие как форматированный вывод, требуют существенных ресурсов. Коммерческие программно-аппаратные комплексы для отладки по интерфейсу JTAG в большинстве своем не поддерживают работу на модели СБИС. В статье описана практика применения свободной реализации JTAG отладчика OpenOCD для реализации функции пошаговой отладки на модели СБИС

Step-through and interactive debugging is usually unavailable during development and debugging of software tests for “System-on-Chip” model. Software debugging facilities like formatted output require a lot of resources. Commercial JTAG debuggers usually can’t be connected to a SoC simulation model therefore can’t be used. The article describes how to use OpenOCD, a free and open-source software-based JTAG debugger to implement step-through and interactive debugging on a SoC model
Моделирование устойчивости к сбоям КМОП элементов ассоциативной памяти с использованием средств TCAD
Authors: Ю.В. Катунин , В.Я. Стенин
Published: November 2024

Ячейки памяти STG DICE (Spaced Transistor Groups DICE) с транзисторами, разделенными на две группы, совместно с комбинационной логикой являются основой для проектирования устойчивых к сбоям элементов ассоциативной памяти. Результаты TCAD моделирования воздействий одиночных ядерных частиц с треками, проходящими на глубинах от 50 нм до 850 нм от поверхности кристалла, показывают, что воздействия заряда с трека только на одну из групп транзисторов не приводит к сбоям в диапазоне линейных потерь энергии (ЛПЭ) 1-60 МэВ×см2/мг. Сбой логического состояния STG DICE возможен при треках вдоль линии, соединяющей две разнесённые группы транзисторов и при треках по нормали к поверхности кристалла при ЛПЭ больше 60 МэВ×см2/мг. Логические элементы сопоставления и маскирования на основе ячейки STG DICE устойчивы при ЛПЭ до 60 МэВ×см2/мг. Возможны кратковременные импульсы помех на выходе комбинационной логики при ЛПЭ, начиная с 30 МэВ×см2/мг

TCAD simulation of effects of single nuclear particles to the STG DICE memory cells (Spaced Transistor Groups DICE) were made with the tracks on lines connecting the drains of mutually sensitive CMOS transistors inside one group of transistors, and between the two groups at depths ranging from 50 nm to 850 nm from the chip surface. The impacts of the charge from the track only on one group of transistors does not lead to the upset of STG DICE cells for tracks at depths 450-850 nm in range of linear energy transfer (LET) on tracks 1-60 MeV×cm2/mg. The cell upset is possible when the particle tracks are along the line joining the two groups of cell transistors, and angular deviation from it is in the range of 40°. At the direction of the track normal to the chip surface failure is possible if the LET is more than 50-60 MeV×cm2/mg. TCAD simulation results obtained for logical elements of matching and masking on the STG DICE cell confirm their stability to single nuclear particles with LET up to 60 MeV×cm2/mg. Short-term noise pulses are possible at the output of the combinational logic at LET from 30 MeV×cm2/mg
Повышение надёжности считывания данных в статических КМОП ОЗУ при воздействии отдельных ядерных частиц
Authors: П.В. Степанов , Ю.В. Катунин
Published: November 2024

Ячейка памяти STG DICE обладает повышенной сбоеустойчивостью к воздействию отдельных ядерных частиц за счет разделения транзисторов на две группы и разнесения этих групп. При воздействии частицы ячейка переходит в нестационарное состояние длительностью до 1 нс. Известные схемы считывания данных ячейки памяти STG DICE используют данные одного, двух или четырех узлов ячейки. Представленный блок чтения на основе считывающих усилителей со смещенной передаточной характеристикой отличается способностью осуществить чтение данных в нестационарном состоянии ячейки, определяя два из четырех узлов ячейки STG DICE, сохраняющих свое состояние

The STG DICE memory cell has increased fault tolerance to the effects of single nuclear particles due to the separation of transistors into two groups and the spacing of two transistor groups. When a particle impacts to a cell, it goes into an unsteady state with a duration of up to 1 ns. Different reading schemes for STG DICE memory cells use data from one, two or four cell nodes. The presented reading scheme based on the reading amplifiers with the shifted transfer characteristic is able to read data in the unsteady state of the cell by determining two of the four STG DICE cell nodes, that keep their logic levels unchanged during the unsteady state
Анализ пригодности современных компактных моделей КНИ МОП-транзисторов к моделированию в расширенном диапазоне температур
Authors: Г.А. Яшин , А.В. Амирханов , А.А. Глушко , В.В. Макарчук , А.С. Новосёлов
Published: November 2024

В работе был проведен анализ пригодности компактных моделей BSIMSOI4.5 и HISIMSOI1.30 для моделирования электрических характеристик в расширенном диапазоне температур. Была проведена экстракция параметров моделей на основе измерений КНИ МОП-транзисторов, выпол ненных по технологии с минимальной проектной нормой 0.35 мкм, после чего было проведен анализ со ответствия модельных пара метров экспериментальным для таких электрических характеристик транзи стора, как пороговое напряжение и ток стока в режиме насыщения

In the paper, the suitability of compact models BSIMSOI4.5 and HISIMSOI1.30 was simulated to simulate electrical characteristics over an extended temperature range. Extraction of model parameters was made on the basis of experi-mental measurements of SOI MOS transistors made using the technology with a minimum design length of 0.35 μm, after which the model parameters were analyzed for the experimental characteristics of such electrical characteristics of the transistor as threshold voltage, drain current in saturation mode
Гауссова аппроксимация спектральной плотности для 1D модели Изинга
Authors: И.М. Каганова , Л.Б. Литинский
Published: November 2024

Изучена плотность состояний для 1D модели Изинга. Установлено, что гауссова аппроксимация спектральной плотности делает метод n-окрестностей непригодным для описания 1D модели Изинга. Найдено точное комбинаторное выражение для распределения энергий в n-окрестности. На этой основе получено распределение намагниченности для произвольной температуры

Normal approximation of a spectral density for 1D Ising Model
Нульмерная математическая модель для анализа разработки нефтяных месторождений методом ячеек заводнения
Authors: И.В. Афанаскин , А.В. Королев
Published: November 2024

Представлена нульмерная математическая модель для анализа разработки нефтяных месторождений методом ячеек заводнения. Кроме классических возможностей метода ячеек заводнения эта модель позволяет прогнозировать показатели разработки при режимах работы скважин, отличающихся от базовых. Модель справедлива при условии, что пластовое и забойное давление выше давления насыщения нефти газом. При этом скважины должны быть уже обводнены (параметры необводненных скважин прини-маются по аналогии). Предлагается подход к автоматизации процесса адаптации модели ячеек заводнения. В приведенном примере использования модели получено хорошее совмещение фактических и расчетных пока-зателей разработки не только на истории, но и при прогнозе. В примере дается анализ влияния шага по вре-мени на точность расчета пластового давления и водонасыщенности.

A null-dimensional mathematical model is derived for the oil field production analysis using the method of waterflooding cells. In addition to the classic capabilities of the waterflooding cell method, this model makes it possible to evaluate the development indices at well operating modes that differ from the basic ones. But the only limit in this case is that the reservoir and bottomhole pressures should be higher than the bubble point pressure. At the same time, the wells should already be flooded (the parameters of non-watered wells are taken by analogy). An approach is proposed for automatic history matching using the waterflood cell model. In the example given, good results for the model in question were obtained not only in history matching, but for the forecast too. The example gives an analysis of the time step effect on the reservoir pressure and water saturation calculation
Применение методики расчета двухфазной фильтрации жидкости в пористых средах на модели реального месторождения
Authors: О.И. Бутнев , В.Ю. Кузнецов , В.А. Пронин , М.Л. Сидоров , И.В. Афанаскин , А.В. Королев , П.В. Ялов
Published: November 2024

Ранее авторами была опубликована методика расчета двухфазной фильтрации жидкостей (на основе модели BlackOil) с использованием призматических структурированных и неструктурированных сеток, в которой для решения уравнений был применен полностью неявный конечно-объемный метод. Работоспособность методики была продемонстрирована на тестовой задаче, основанной на стандартном тесте SPE8. В данной статье приводятся результаты расчета гидродинамической модели реального месторождения по методике, изложенной ранее. Полученные результаты сравниваются с результатами коммерческого программного обеспечения.

Results of hydrodynamic modelling on a real oil field are reported. Modelling was done by using a special methodology published earlier by authors. Proposed methodology of two-phase flow modelling is based on a “Black Oil” model with using a prismatic structured and unstructured grids and totally implicit finite-volumetric approach. Earlier this method was tested by using standard SPE8 test. In this article it was tested using real oil-field data and compared with results obtained by using standard commercial software.