Inpex (Japan)

Este artigo discute a acessibilidade digital na escola como dimensão constitutiva do direito à educação inclusiva. Parte-se da compreensão de que a presença de dispositivos, plataformas e ambientes virtuais não assegura, por si só, participação pedagógica, permanência e aprendizagem. O objetivo é analisar fundamentos conceituais, normativos e pedagógicos da acessibilidade digital e apresentar práticas inclusivas aplicáveis ao cotidiano escolar, com atenção aos diferentes perfis de estudantes, inclusive aqueles com deficiência, transtornos do neurodesenvolvimento, dificuldades de aprendizagem, barreiras linguísticas e limitações temporárias de acesso. Metodologicamente, trata-se de estudo qualitativo, de natureza bibliográfica e documental, com base em legislação brasileira, documentos de organismos internacionais e literatura científica sobre educação inclusiva, desenho universal para a aprendizagem, tecnologia assistiva e acessibilidade web. A análise demonstra que a acessibilidade digital exige uma abordagem sistêmica: depende de infraestrutura, escolha adequada de plataformas, formação docente, produção de materiais acessíveis, avaliação flexível e participação da comunidade escolar. Também se evidencia que práticas simples, como legenda em vídeos, descrição de imagens, contraste adequado, navegação por teclado, múltiplas formas de representação do conteúdo e diversificação das formas de resposta, produzem efeitos concretos sobre o engajamento e a autonomia dos estudantes. Sustenta-se que a escola inclusiva precisa deslocar o foco da adaptação tardia para o planejamento antecipado, inspirado no desenho universal para a aprendizagem. A partir das evidências discutidas, a acessibilidade digital pode ser compreendida não como recurso periférico, mas como critério de qualidade pedagógica, justiça curricular e democratização do conhecimento.

With the increasingdemand for wearable and flexible energy storagedevices, there has been significant interest in developing safe andmechanically stable prototypes. For this, liquid electrolytes forbatteries and supercapacitors (SC) need to be replaced by self-chargedgel-type polyelectrolytes (SCGPE), which exhibit good ionic mobilityand offer the advantage of being incorporated into solid-state electronicdevices. Here, the SCGPE studied has been synthesized by a polyhydroxyalkylationreaction in a superacid medium of 4-acetylpyridine and the nonactivatedaromatic compounds para-terphenyl and biphenyl. Thereaction was carried out in a single step at room temperature, withoutthe use of metal catalysts, and yielded water as the only byproduct.Chemical modification reactions were then carried out by quaternizing4-acetylpyridine using a bromohexyltrimethylammonium salt, which incorporatedpositively charged elements onto the polymer backbone. The functionalizationdegree and viscosity of the gel polyelectrolyte were the two mainfactors affecting SC performance. These SCGPEs exhibit ionic conductivitywithout the need for doping with a conducting salt, ionic liquid,or acid, thereby ensuring that the PE maintains its mechanical stabilityand safety. Molecular dynamics simulations have confirmed the keyrole of the solvent in influencing the polymer conformation and iontransport. SCGPEs enable the sparing of dopants, such as ionic liquids,conducting salts, or acids, as the SCGPE exhibits good ionic conductivity(on the order of 10–4 S/cm) and high specific capacitance(up to 123 mF cm–2) when used in textile carbon-basedSCs. It also showed only slight differences with a well-known gelpolyelectrolyte (GPE), poly­(vinyl alcohol)-potassium hydroxide (PVA-KOH).GPEs used with textile carbon electrodes pave the way for developingall-solid-state wearable SCs without leaking or spilling of liquidelectrolytes.

Abstract Background Epigenetic clocks based on DNA methylation (DNAm) are widely used indicators of biological aging; however, most established models have been developed using EPIC arrays and non-Japanese populations. The Methylation Screening Array (MSA), a cost-efficient platform with reduced CpG content, has not been evaluated for its capacity to support biological age estimation and biomarker prediction in Japanese cohorts. Methods DNAm profiles and clinical laboratory measurements were obtained from 166 Japanese participants for model development; an independent cohort of 48 individuals processed at a separate institute was used for validation. A linear regression model was trained using the Elastic Net method to predict phenotypic age from MSA-derived methylation data, and a two-stage modeling (residual learning) framework integrating EPIC-based clock predictions with MSA-specific residual predictions was evaluated. Additional models were constructed to examine the predictability of 59 clinical biomarkers and their log-transformed variants, including sex-stratified analyses. Results The MSA-based model accurately predicted phenotypic age in the validation dataset; prediction performance improved when the EPIC-based estimates were incorporated through the residual learning framework. Several clinical biomarkers, particularly those related to leukocyte composition and sex hormone regulation, were also predicted from the MSA data, although some markers were strongly affected by sex. Some of the nine constituent phenotypic age biomarkers were not individually predicted. Conclusions MSA methylation profiles contain sufficient biological information for reliable prediction of epigenetic aging markers in Japanese individuals. These findings demonstrate the feasibility of applying cost-efficient MSA-based DNAm profiling for biological age prediction and provide a methodological foundation for expanding epigenetic biomarker applications in Japan.

Introduction: This study details the phased development and implementation of an Artificial Intelligence (AI)-driven nursing summary system designed to reduce nurses’ documentation workload. Methods: Over a 1-year development period beginning in December 2023, we constructed a system that automatically generates nursing care summaries from patient records to support care continuity. The system utilized large language models with prompt tuning techniques and a subjective, objective, assessment, plan (SOAP) format integration. Results: Through three iterations informed by clinical feedback, the system reduced the median summary creation time from 16 to 10 minutes (p < 0.001), representing an approximate 40% reduction. When validating the AI-generated nursing summaries, total scores for the five evaluation items in Versions 0.2 and 0.3 showed no significant difference. Discussion: This system produces comprehensive summaries that consider both nursing care plans and changes in patient condition, simultaneously improving efficiency and enhancing documentation quality. This study demonstrates the importance of iterative development and expert knowledge integration in implementing AI in clinical practice, offering valuable insights for advancing digital healthcare transformation. Conclusion: This study achieved an approximate 40% reduction in nursing record creation time and produced clinically acceptable summary documents through the phased development and implementation of an AI-driven nursing summary system. Keywords: patient discharge summaries, artificial intelligence, nursing, large language models, electronic health records

Microorganisms frequently influence the corrosion of metal materials. Recently, the dynamics of microbial communities during steel corrosion were revealed through molecular genetic analyses. During the progression of corrosion, microbial communities with high abundances of sulfate-reducing bacteria (SRB) are established, even under aerobic conditions. However, whether the establishment of an anaerobic environment is the major factor in SRB enrichment is unclear. To assess the relationship among corrosion behavior, accumulation of SRB, and anaerobic conditions, immersion tests were conducted under both aerobic and anaerobic conditions in the same industrial water. The corrosion rate of carbon steel was found to significantly decrease under anaerobic conditions compared to that under aerobic conditions. On the other hand, no significant corrosion was observed in stainless steel and copper alloys. Furthermore, changes in the microbial community structure under anaerobic conditions were found to notably differ from those observed under aerobic conditions. Finally, SRB accumulation was not observed under anaerobic conditions. Altogether, the heterogeneous corrosion product developed through microbial activity may support the efficient accumulation of SRB in the corrosion products. Herein, not only the establishment of a low dissolved oxygen environment, but also other microbial activities were found to be important for the accumulation of SRB in corrosion products, highlighting the importance of microorganisms other than SRB. Such finding contributes to our understanding of the mechanism of microbiologically influenced corrosion.

Abstract WHT consists primarily of two parts, i.e. jacket and topside. When constructing WHT, jacket and topside are installed in a sequential manner. A time gap typically exists between jacket installation and topside installation since it takes longer time to manufacture topside decks than jacket. In order to accelerate the drilling schedule by fully utilizing the time gap, Jacket Drilling, which is drilling with jacket but without topside decks, is sometimes performed between post-jacket installation and pre-topside installation. In the conventional method, Jacket Drilling operation was divided into two phases. In the first phase, wells were drilled to a certain section through the jacket and then suspended with mud line suspension at the top jacket level until the second phase started. Then, the second phase was carried out after topside deck installation in order to drill the remaining section(s) and complete the wells. scaffolding was erected as a temporary working platform or staircase from the jacket walkway level to the wellhead level, which poses larger risks on the rig crew since it could collapse due to vibration, drop object or clash with other equipment on the rig On the other hand, in the novel approach that is discussed in this paper, wells are drilled and completed in only one phase by utilizing Drill Deck, which is a permanent platform where rig crew can work around wellhead and BOP in a safer manner without the need to erect extensive scaffolding. After completing the wells by Jacket Drilling, the topside deck is installed on the jacket with Xmas Trees in place. By adopting the novel method in this paper, it is possible to make significant advancement in the drilling schedule as compared to the conventional method and to provide a safer working environment for the rig crew. In this paper, key considerations for Jacket Drilling are also elaborated in detail such that the novel method for Jacket Drilling discussed in this paper can be applied to any of the similar WHTs that are newly constructed.

When following a sequence - such as reading a text or tracking a user's activity - one can measure how the "dictionary" of distinct elements (types) grows with the number of observations (tokens). When this growth follows a power law, it is referred to as Heaps' law, a regularity often associated with Zipf's law and frequently used to characterize human discovery processes. While random sampling from a Zipf-like distribution can reproduce Heaps' law, this connection relies on the assumption of temporal independence - an assumption often violated in real-world systems although frequently found in the literature. Here, we investigate how temporal correlations in token sequences affect the type-token curve. In human behaviors like music listening and web browsing, domain-specific correlations in token ordering lead to systematic deviations from the Zipf-Heaps framework, effectively decoupling the type-token plot from the rank-frequency distribution. Using a minimal one-parameter model, we reproduce a wide variety of type-token trajectories, including the extremal cases that bound all possible behaviors compatible with a given frequency distribution. Our results demonstrate that type-token growth reflects not only the empirical distribution of type frequencies, but also the domain-specific, temporal structure of the sequence - a factor often overlooked in empirical applications of scaling laws to characterize human behavior.

Abstract This paper presents a comprehensive study of injectivity evolution in the Nagaoka CO2 storage project in Japan, where 10,400 ton of CO2 were injected into a deep saline aquifer between 2003 and 2005. While previous studies primarily attributed the observed injectivity increases to CO2 relative permeability enhancement from dry-out effects, this research investigates the competing influence of salt precipitation that may have been masked by these favorable permeability changes. A detailed layer-cake radial simulation model incorporating key physical mechanisms, such as CO2 dry-out, capillary-driven backflow, and salt precipitation-induced permeability reduction, was developed and history-matched to observed bottomhole pressure data. Extensive sensitivity analyses examined the influence of formation water salinity, injection strategies, and relative permeability characteristics on injectivity behavior. Results confirmed that the continuous injectivity improvement observed at Nagaoka was predominantly driven by CO2 relative permeability enhancement under dry-out conditions. Salt precipitation effects were minimal at the site's relatively low formation water salinity of 8,000 ppm. However, hypothetical scenarios with higher salinity up to 150,000 ppm demonstrated significant injectivity impairment, with bottomhole pressure increases of up to 2.7 MPa and injectivity reductions exceeding 50%. The study revealed that injection intermittency significantly influences salt precipitation patterns. While capillary-driven backflow occurs continuously during the injection process, natural pressure equilibration dominates water movement during injection interruptions, particularly affecting high-permeability layers. Continuous injection reduces the impact of this natural backflow, dispersing salt precipitation over larger volumes away from the wellbore. Conversely, intermittent injection enhances water return toward the wellbore, concentrating salt precipitation in high-permeability layers and creating more severe near-wellbore permeability damage. This research demonstrates that salt precipitation impacts on injectivity depend on complex interactions between formation characteristics, operational parameters, and fluid properties. Accurate prediction of injectivity behavior in CO2 storage projects requires comprehensive modeling that incorporates these coupled phenomena, particularly in formations with high salinity where precipitation effects may outweigh dry-out benefits despite generally favorable reservoir conditions.

As a part of a pilot CCUS project, we acquired walkaway DAS-VSP datasets in a depleted onshore oil field in Japan. Multiple fibre-optic cables were permanently installed in two deviated wells, CCUS-1 and CCUS-2, to enable detailed subsurface delineation and reservoir monitoring during CCUS operations. Despite logistical challenges that resulted in limited and irregular source coverage, the multi-fibre and multi-well walkaway DAS-VSP datasets provided significant insights into the subsurface contexts in the area of interest, aligning with well data and regional geology. We introduced simultaneous source acquisition to our DAS-VSP survey, which doubled operation productivity and delivered repeatable records comparable to conventional single-fleet acquisition. Data processing involved a joint imaging scheme using multi-well and multi-fibre DAS-VSP datasets, including velocity and anisotropy estimation. For further estimating detailed subsurface properties, elastic full waveform inversion was applied. These acquisition and processing strategies successfully handled the complexities inherent in the recorded datasets. This study demonstrates that DAS-VSP technology, when combined with modern acquisition and processing techniques, can significantly enhance the understanding of subsurface contexts in the area of interest. This integration offers a promising avenue for effectively managing production and injection activities, thereby advancing CCUS projects even under operational and budgetary constraints.