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Neuroinflammation driven by microglial dysfunction stands as a primary hallmark in the pathogenesis of Alzheimer's disease (AD). However, therapeutic breakthroughs remain bottlenecked by rigid blood-b…

Neuroinflammation driven by microglial dysfunction stands as a primary hallmark in the pathogenesis of Alzheimer's disease (AD). However, therapeutic breakthroughs remain bottlenecked by rigid blood-brain barrier (BBB) kinetics, inefficient intracellular vector programming, and poor small-molecule bioavailability. To address these systemic hurdles, this paper introduces a modular, quad-platform computational architecture designed to disrupt the neuroinflammatory cascade across distinct scales. Tier 1 establishes a standardized data infrastructure to optimize non-invasive physical therapies, calibrating Low-Intensity Pulsed Ultrasound (LIPUS) parameters for transient, safe BBB permeabilization. Tier 2 deploys deep learning-based cheminformatics pipelines to virtual-screen a dual-axis combination therapy: a Structural Axis targeting GSK inhibitors to maintain endothelial integrity, and an Immunological Axis utilizing STING inhibitors to arrest chronic innate immune activation. Tier 3 leverages Evo 2, a long-context genomic foundation model, to program single-nucleotide resolution intracellular genetic instructions capable of restoring homeostatic microglial phenotypes in the long term. Finally, Tier 4 introduces an in silico verification scheme driven by a non-linear double-Lorentzian signal processing pipeline; this module acts as a non-invasive telemetric sensor, deconvolving overlapping low-field Phosphorus Magnetic Resonance Spectroscopy (³¹P-MRS) peaks to quantitatively verify that downstream GSK/STING inhibition successfully rescues the cerebral NAD+/NADH matrix and ATP-synthetic machinery from neuroinflammatory decay. In an integrated pipeline, Tier 1’s biophysical parameters reshape Tier 2's chemical screening constraints—rescuing molecules previously discarded due to strict BBB limitations—while Tier 3's genomic vectors drive the biological recovery validated in real-time by Tier 4's closed-loop bioenergetic index. Ultimately, this modular framework bridges biomedical data engineering, predictive drug discovery, and synthetic biology, pioneering a multi-modal paradigm to halt neurodegeneration.

This supplementary material supports two studies: “AI for Data Quality Management: Toward AI–Task–Technology Fit” (Nikiforova, A., Lnenicka, M., Kaosaar, K., D., Gill, A., Si…

This supplementary material supports two studies: “AI for Data Quality Management: Toward AI–Task–Technology Fit” (Nikiforova, A., Lnenicka, M., Kaosaar, K., D., Gill, A., Siddiqui, S., 2027) “From Data Quality for AI to AI for Data Quality: A Systematic Review of Tools for AI-Augmented Data Quality Management in Data Warehouses” (Tamm & Nikiforova, 2025) The repository contains supplementary materials associated with the empirical and methodological components of these studies, including materials supporting the development, operationalization, and evaluation of the AI-DQ-TERF framework and the systematic identification and assessment of AI-enabled data quality management tools. Materials associated with the AI-DQ-TERF study The supplementary materials for “AI for Data Quality Management: Toward AI–Task–Technology Fit” document the empirical and methodological basis for the development and evaluation of the AI-DQ-TERF (AI–Data Quality–Technology–Task Fit) framework. They comprise: tool analysis / systematic review supplement — documentation of the systematic identification, screening, selection, and evaluation of AI-enabled data quality management tools used to examine the applicability of AI-DQ-TERF; expert interviews — documentation of the expert interview study used to identify practitioner needs, challenges, requirements, and technology–task fit considerations related to AI-enabled data quality management; AI-DQ-TERF evaluation protocol — the full protocol used to operationalize the framework, including evaluation dimensions, criteria, assessment questions, response values, and coding guidance.   Materials associated with the systematic review study The repository also contains supplementary material supporting “From Data Quality for AI to AI for Data Quality: A Systematic Review of Tools for AI-Augmented Data Quality Management in Data Warehouses”. These materials document the systematic identification and analysis of AI-enabled data quality management tools and provide methodological details underlying the review.

The rapid evolution of sixth-generation (6G) wireless networks is increasing the demand for AI-enabled edge intel ligence that can operate across devices with different capabil ities, resource constra…

The rapid evolution of sixth-generation (6G) wireless networks is increasing the demand for AI-enabled edge intel ligence that can operate across devices with different capabil ities, resource constraints, and availability. Existing distributed learning paradigms, including Federated Learning (FL) and Split Learning (SL), either impose uniform computational burdens regardless of device capability or rely on sequential execution pipelines that are sensitive to node failures. To address these challenges, we propose a Capability-Aware Orchestrator (CAO) for joint distributed learning and inference in heterogeneous 6G environments. CAO profiles both node resources and model component requirements, then assigns workloads according to the capability of each node. To improve reliability, model components are assigned with overlapping coverage, allowing training to continue even when nodes become unavailable. A layer-aware aggregation mechanism is used to combine model updates and produce stable global models. Experiments on CIFAR-10 using ResNet-18 across eight heterogeneous edge nodes show that CAO achieves over 96% of the accuracy of FL and SL while reducing training time by up to 81%, communication overhead by up to 66%, and trained parameters by up to 53%. Unlike SL, which stalls when nodes fail, CAO maintains successful end-to end training under both permanent and transient node failures. In addition, the capability-aware allocation strategy reduces distributed inference latency by up to 89% compared with random deployment, demonstrating its suitability for practical 6G edge environments.

SPOMSO is a Python package for the procedural construction of 2D and 3D geometry and vector fields based on Signed Distance Functions (SDFs). It provides object-oriented and functional interfaces to p…

SPOMSO is a Python package for the procedural construction of 2D and 3D geometry and vector fields based on Signed Distance Functions (SDFs). It provides object-oriented and functional interfaces to predefined primitives, Euclidean transformations, modifications, and combination operators. The optional JAX backend that enables GPU execution, automatic differentiation of geometry and fields, and by extension gradient-based optimisation.

R scripts for figures in paper titled "Reduced p63 at the epithelial boundary precedes breast cancer diagnosis in BRCA1/2 carriers: an exploratory spatial case-control study".

Este artículo analiza una experiencia de innovación docente implementada en el grado en Artes Digitales de la Universidad Camilo José Cela (UCJC), diseñada bajo el marco de…

Este artículo analiza una experiencia de innovación docente implementada en el grado en Artes Digitales de la Universidad Camilo José Cela (UCJC), diseñada bajo el marco del Real Decreto 822/2021, el cual exige la integración obligatoria de los Objetivos de Desarrollo Sostenible (ODS) y valores democráticos en la educación superior. La intervención pedagógica se desarrolló a través de la metodología de "tarea integrada" dentro del programa La Colmena Experience, y en colaboración directa con el proyecto de investigación R3AL, cuyo fin es optimizar el despliegue de impresión 3D autónoma para fabricar insumos de primera necesidad en entornos con alta complejidad logística (como campos de refugiados o zonas rurales aisladas). Los estudiantes recibieron formación presencial en dibujo, modelado 3D optimizado (usando Autodesk Tinkercad) y laminado ( Ultimaker Cura) para fabricar prototipos rápidos. Como proyecto final, diseñaron e imprimieron herramientas funcionales (como recolectores de agua o pinzas médicas) bajo criterios de sostenibilidad, reciclaje de materiales y eficiencia energética. Los resultados demuestran que la tarea integrada es una estrategia altamente eficaz para transformar conceptos teóricos de compromiso social en requisitos prácticos de diseño, logrando un 100% de satisfacción estudiantil.

The Rigveda is a proto-Islamic scripture of the Indus Valley civilization, characterized by straightforward monotheism, a caste-free society, a celebration of life, and a rejection of asceticism. The …

The Rigveda is a proto-Islamic scripture of the Indus Valley civilization, characterized by straightforward monotheism, a caste-free society, a celebration of life, and a rejection of asceticism. The Rigveda also rejects the view that samsara and karma are the primary factors in determining the next birth; it also does not subscribe to moksha as the liberation of the soul from repeated cycles of life. These concepts reflect Ganga theology, drawn from the Upanishads, the Mahabharata, and the Ramayana. The Sikh dharma, initiated by Guru Nanak, adopted monotheism and a caste-free society, which are compatible with the historical tradition of the Rigveda. However, Islam is the most compatible religion with the teachings of the Rigveda. It is no accident of history, but rather the spiritual continuity of the Rigveda as a proto-Islamic scripture that led to the proliferation of Islam in the Rigvedic areas that presently comprise Afghanistan, Kashmir, and Pakistan. 

Ushbu maqolada badiiy adabiyotda inson ruhiyatining tasvirlanishi va uni ifodalashning lingvopoetik, kognitiv hamda pragmatik usullari qiyosiy-profilik jihatdan tadqiq qilinadi. Tadqiqotda o'zbek adab…

Ushbu maqolada badiiy adabiyotda inson ruhiyatining tasvirlanishi va uni ifodalashning lingvopoetik, kognitiv hamda pragmatik usullari qiyosiy-profilik jihatdan tadqiq qilinadi. Tadqiqotda o'zbek adabiyoti vakillari (Alisher Navoiy, Abdulla Qodiriy, Mirtemir) hamda jahon adabiyotining ko'zga ko'ringan namoyandalari (U. Shekspir, F. Dostoyevskiy, E. Xeminguy) asarlaridagi psixologik tasvir va badiiy portret vositalari qiyoslanadi. Ayniqsa, Mirtemir she'riyatidagi lirik portretlar, harakatlar va milliylik detallari orqali insondagi ruhiy holatlarni ochib berish mahorati "Bobo" hamda "Yig'i" she'rlari misolida batafsil tahlil qilingan. Qiyosiy tahlillar shuni ko'rsatadiki, ruhiyat tasviri universal hodisa bo'lsa-da, u o'zbek adabiyotida milliy-emotsional obrazlilik, ingliz adabiyotida dramatik konflikt, rus adabiyotida chuqur psixologizm, Amerika adabiyotida esa bilvosita sukut/detal vositasida namoyon bo'ladi. Maqola xulosalari badiiy matnning kognitiv va lingvokulturoloqik tabiatini anglashda muhim ilmiy ahamiyatga ega.

Цель. Выявить коморбидные кардиореспираторные нарушения у пациентов с хронической обструктивной болезнью лёгких (ХОБЛ), оценить толерантность к физической нагрузке и качество жизни пациентов. Материал…

Цель. Выявить коморбидные кардиореспираторные нарушения у пациентов с хронической обструктивной болезнью лёгких (ХОБЛ), оценить толерантность к физической нагрузке и качество жизни пациентов. Материалы и методы. В открытое сравнительное исследование включены 45 пациентов, разделённых на две группы: основную группу (ОГ, n = 20) с ХОБЛ (средний возраст 59,7 ± 1,72 года, длительность анамнеза заболевания 14,8 ± 4,5 года) и контрольную группу (КГ, n = 25) с хроническим необструктивным бронхитом (средний возраст 50,3 ± 2,6 года). Всем пациентам проведён комплекс инструментальных (бодиплетизмография, ЭКГ, ЭхоКГ, тест 6-минутной ходьбы) и лабораторных исследований. Статистическая обработка проводилась в программе Statistica 6.0 с использованием t-критерия Стьюдента и U-критерия Манна–Уитни. Результаты. У пациентов с ХОБЛ выявлены тяжёлые обструктивные нарушения: объём форсированного выдоха за первую секунду (ОФВ₁) снизился до 43,5 ± 5,12% от должного значения, а отношение ОФВ₁/ФЖЕЛ — до 51,0 ± 3,5% от должного значения (p < 0,001). При прогрессировании ХОБЛ (5,12 ± 2,3 обострения в год) через 14,8 ± 4,5 года от начала заболевания развиваются признаки лёгочной гипертензии: среднее давление в лёгочной артерии повышается до 32,1 ± 1,2 мм рт. ст. и более. В тесте 6-минутной ходьбы пройденное расстояние в ОГ составило лишь 60,7 ± 0,6% от должного, что свидетельствует о выраженном снижении толерантности к физической нагрузке. Анализ интегральных показателей качества жизни выявил значительное снижение физического компонента (до 38,2 ± 0,8%) и умеренное снижение психического компонента (до 55,7 ± 0,8%). Заключение. Прогрессирование ХОБЛ сопровождается развитием необратимой бронхиальной обструкции, лёгочной гипертензии и лактатацидоза, что приводит к резкому ограничению мобильности и снижению качества жизни. Около 50% пациентов с тяжёлым течением ХОБЛ имеют установленную III группу инвалидности.

Batch upload of files from directory 'trichobatrachus_robustus_FSCR'.