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 This article examines modern biological threats, methods for forecasting epidemic outbreaks, and mechanisms for protecting populations, with particular attention to Uzbekistan. The study is base…

 This article examines modern biological threats, methods for forecasting epidemic outbreaks, and mechanisms for protecting populations, with particular attention to Uzbekistan. The study is based on a structured review of international scientific guidance, World Health Organization frameworks, and Uzbekistan’s public health legislation. The findings highlight the importance of the One Health approach, integrated epidemiological surveillance, laboratory and genomic monitoring, early warning systems, and evidence-based forecasting. The article proposes a comprehensive preparedness framework combining risk assessment, timely detection, effective communication, and proportionate public health interventions. It concludes that reliable epidemic preparedness requires coordinated institutional action, transparent decision-making, equitable access to healthcare services, and continuous improvement of national response capacities.  

Orthodox growth economics has never contained a variable for Natural Procreative Hygiene (NPH): the timing, spacing, and readiness conditions of human procreation. This absence is treated as a neutral…

Orthodox growth economics has never contained a variable for Natural Procreative Hygiene (NPH): the timing, spacing, and readiness conditions of human procreation. This absence is treated as a neutral boundary of the discipline. It is not neutral. When the discipline's own machinery is examined, two facts emerge. First, the one variable the models do carry for procreation, population growth, is uniformly and negatively associated with income per capita across every pattern of economic growth ever measured, including a 2014 University of Baghdad panel study of ninety-five countries, 1980 to 2010, where the coefficient is negative and statistically significant in all four country groups. Second, the accounting framework in which these models report their results counts the treatment of disease, incarceration, and remediation as production, and counts health maintained as nothing. The combination produces a standing paradox that the discipline cannot state without dismantling its own metric: overpopulation generates poverty, while disease and pain increase the economic statistics. The essay argues that NPH is absent from education and growth models not because it was measured and found insignificant, but because introducing it would invert the ledger: it would raise human well-being and lower disease and pain, and it would lower the recorded statistics of the establishments that profit from human misery.

skeletor 1.8.0 Highlights Lighter install: ncollpyde is now optional, so skeletor can be installed in Pyodide. The functions that still need it (by_tangent_ball, post.clean_up, post.recenter_vertices…

skeletor 1.8.0 Highlights Lighter install: ncollpyde is now optional, so skeletor can be installed in Pyodide. The functions that still need it (by_tangent_ball, post.clean_up, post.recenter_vertices, post.fix_outside_edges, post.drop_line_of_sight_twigs, post.remove_bristles(los_only=True), post.radii(method='ray')) tell you how to install it: pip install ncollpyde or pip install skeletor[ncollpyde]. Faster import: igraph and ncollpyde are now loaded only when needed. Much faster by_teasar: on a 1.5M-vertex mesh, run time dropped from ~108s to ~1.6s, with less memory. Faster by_wavefront: ~2.5-3x faster on large meshes, with the same output. Faster by_wavefront_exact: no longer needs igraph. It is ~20x faster on a 105k-vertex mesh, even without navis-fastcore. networkx is no longer used by any skeletonization method. Changes in results by_teasar: mesh_map now assigns each vertex to the nearest node that covers it, so vertices end up much closer to their node. by_teasar: min_length is now applied to the finished skeleton. Results no longer depend on the order branches were found. by_wavefront_exact: where the skeleton has cycles, the edge cut to break them may differ from before. Notes Some of the speed-ups need a recent version of navis-fastcore (pip install -U navis-fastcore). With older versions, skeletor uses the previous code paths. See NEWS.md for full details.

English 3Dresyn OD BCI1 MF Bio is a commercial photopolymer resin for implant-related dental applications. It is supplied as a liquid for SLA, DLP and LCD. Its formulation is declared to be monomer-fr…

English 3Dresyn OD BCI1 MF Bio is a commercial photopolymer resin for implant-related dental applications. It is supplied as a liquid for SLA, DLP and LCD. Its formulation is declared to be monomer-free, and the technical datasheet attributes a Young's modulus close to 3 GPa and strengths of up to 140 MPa to the processed solid. This article examines this existing product alongside metallic, ceramic and polymeric alternatives, distinguishing material specifications from validation of a finished implant. A reproducible analysis combines load sharing in series and in parallel with flexural rigidity: lower stiffness may increase the bone's share of the load, but may also increase deformation and compromise stability. The manufacturer's recommended diameters, differences between commercial documents and the scope of regulatory criteria are made explicit. The European framework includes the 2026 amendments concerning technical documentation and clinical investigations. Joint assessment of stability, fatigue in wet conditions and chemical release during ageing is proposed. The material's commercial availability is an industrial reality; the clinical benefit of a particular geometry requires evidence concerning the device and its manufacturing process. Español 3Dresyn OD BCI1 MF Bio es una resina fotopolimérica comercial para aplicaciones dentales relacionadas con implantes. Se suministra en estado líquido para SLA, DLP y LCD. Su formulación se declara sin monómeros y la ficha técnica atribuye al sólido procesado un módulo de Young próximo a 3 GPa y resistencias de hasta 140 MPa. El artículo examina este producto existente frente a alternativas metálicas, cerámicas y poliméricas, y distingue las especificaciones del material de la validación de un implante terminado. Un análisis reproducible combina reparto de carga en serie y en paralelo con rigidez a flexión: una menor rigidez puede aumentar la participación del hueso en la carga, pero también elevar la deformación y comprometer la estabilidad. Se explicitan los diámetros recomendados por el fabricante, las diferencias entre documentos comerciales y el alcance de los criterios normativos. El marco europeo incorpora las modificaciones de 2026 sobre documentación técnica e investigaciones clínicas. Se propone comprobar conjuntamente estabilidad, fatiga en húmedo y liberación química durante el envejecimiento. La disponibilidad comercial del material constituye una realidad industrial; el beneficio clínico de una geometría concreta exige evidencia del dispositivo y de su proceso de fabricación. Version 1. English and Spanish editions of the same work, deposited together.Versión 1. Ediciones inglesa y española de la misma obra, depositadas conjuntamente.

Donghyundoc is a browser-based, noncommercial toy that follows only the skeleton of Dr. Mario (Nintendo R&D1, 1990): two-cell pills are dropped into an 8x16 bottle onto viruses, four cells of one …

Donghyundoc is a browser-based, noncommercial toy that follows only the skeleton of Dr. Mario (Nintendo R&D1, 1990): two-cell pills are dropped into an 8x16 bottle onto viruses, four cells of one colour in a row or column vanish, unsupported pills fall and chain, and clearing every virus ends the level. The doctor is Podongi, the maker's Maltese dog, using the first PNG image that serves as the icon of the Donghyun series; the three viruses are newly drawn 9x9 pixel faces, and pills come in capsule, tablet and syringe shapes. A syringe's needle turns with the rotation while its colours move as a capsule's do, so needle and plunger trade colours on every turn; a tablet turns the opposite way, and tablets appear more often at higher levels (5% at level 1 to 43% at level 20). The speed (slow, medium, fast), the virus level (1-20) and the number of pre-placed pills are chosen through a program written in the esoteric programming language Donghyun-lang. Input is keyboard, mouse or touch (tap the pill to rotate, drag to move and drop) and gamepad, with fullscreen; the game is saved in three browser slots and can be exported to and imported from a .dhsave file. All other graphics, colours and sounds are generated by code; no asset of the original game is used or extracted. Dr. Mario and Mario are trademarks of Nintendo; this work is unaffiliated. The MIT license applies to the Donghyundoc code and documentation; the page fonts are under the SIL Open Font License. See LICENSE and CREDITS.md.

Publication release for POTTR journal submission.

This repository provides the R analysis code supporting the study Classifying Climate Transition-Risk Regimes: An Unsupervised-Learning Framework, submitted to Computational Economics. The study devel…

This repository provides the R analysis code supporting the study Classifying Climate Transition-Risk Regimes: An Unsupervised-Learning Framework, submitted to Computational Economics. The study develops an unsupervised-learning framework for classifying climate transition-risk profiles using 12 indicators aggregated into six equally weighted blocks representing structural exposure, transition response, and financial and institutional capacity. The empirical analysis covers 47 countries and 1,034 country-year observations over 1996–2020 and identifies four empirical regimes. The archive contains the analytical R scripts, supplementary robustness procedures, diagnostic and validation code, software requirements, source-data documentation, and reproduction instructions. These materials support examination and re-estimation of the classification framework, including alternative clustering methods, country-level resampling, measurement sensitivities, financial-outcome associations and consecutive-year regime transitions. The archive does not redistribute original third-party datasets or processed country-year observations. The processed six-block scores, empirical regime assignments and supporting observation-level results are supplied separately in Online Resource 3 accompanying the article. Online Resource 2 documents the original data providers, indicator definitions, transformations and implementation procedures. The underlying inputs originate from publicly accessible statistical sources, including the World Bank, OECD, IMF, Climate Watch and Our World in Data. Reproduction from independently retrieved inputs is subject to the providers' applicable terms and data-vintage availability. Updated source vintages may produce results different from those reported in the article.

Adds scipy optimization algorithms via the ScipyGenerator class What's Changed Remove PyTorch JIT trace functionality by @nikitakuklev in https://github.com/xopt-org/Xopt/pull/457 Use data_dump_file …

Adds scipy optimization algorithms via the ScipyGenerator class What's Changed Remove PyTorch JIT trace functionality by @nikitakuklev in https://github.com/xopt-org/Xopt/pull/457 Use data_dump_file and xopt_dump_file in AsynchronousXopt by @electronsandstuff in https://github.com/xopt-org/Xopt/pull/465 Clean Up for MPI Script by @electronsandstuff in https://github.com/xopt-org/Xopt/pull/464 Add Warning When Generator Doesn't Accept Data with strict=False by @electronsandstuff in https://github.com/xopt-org/Xopt/pull/468 Avoid Unreferenced Local in safe_call by @electronsandstuff in https://github.com/xopt-org/Xopt/pull/466 add max time stopping condition by @roussel-ryan in https://github.com/xopt-org/Xopt/pull/472 scipy minimize generator by @roussel-ryan in https://github.com/xopt-org/Xopt/pull/424 Update code comments for max_travel_distances, be clear that it takes fractions of each variable's range by @nstelter-slac in https://github.com/xopt-org/Xopt/pull/476 Add SciPy-based optimization algorithms to README and docs index by @roussel-ryan in https://github.com/xopt-org/Xopt/pull/478 Bump pypa/gh-action-pypi-publish from 1.14.2 to 1.14.3 in /.github/workflows by @dependabot[bot] in https://github.com/xopt-org/Xopt/pull/477 New Contributors @dependabot[bot] made their first contribution in https://github.com/xopt-org/Xopt/pull/477 Full Changelog: https://github.com/xopt-org/Xopt/compare/v3.2.2...v3.3.0