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This article assesses how tourism-resource utilization contributes to sustainable regional development in Uzbekistan. The analysis is based on official 2021–2025 data from the National Statistics Comm…

This article assesses how tourism-resource utilization contributes to sustainable regional development in Uzbekistan. The analysis is based on official 2021–2025 data from the National Statistics Committee of the Republic of Uzbekistan and the SIAT database, covering foreign tourist trips, tourism service exports and total market services. Tourism Resource Utilization Efficiency (TRUE) is measured as tourism service export value generated per foreign tourist trip. The indicator increased from approximately USD 224 in 2021 to USD 418 in 2025, while tourist trips increased from 1.881 million to 11.680 million and tourism service exports from USD 422.1 million to USD 4.880 billion. During the same period, the volume of market services increased from UZS 389.4 trillion to UZS 1,050.3 trillion. The paper proposes a Tourism Resource Utilization–Regional Development Impact Model linking tourism resources, utilization capacity, value creation, service-sector transmission and sustainable regional development. A baseline trend forecast suggests that by 2030 foreign tourist trips may reach approximately 22.3 million, tourism service exports USD 10.1 billion and market services about UZS 1,847.5 trillion. The findings indicate that regional policy should assess tourism not only through visitor numbers, but through the value and service-sector effects generated from available tourism resources.

Added "L23Net_Drug_Neuron9" folder for code updated to work in NEURON 9.0.2 and LFPy 2.3.5, including mod files (Modified 2026-09-24 by Valis Sowilo - github.com/ValisSowilo), circuit.py, an…

Added "L23Net_Drug_Neuron9" folder for code updated to work in NEURON 9.0.2 and LFPy 2.3.5, including mod files (Modified 2026-09-24 by Valis Sowilo - github.com/ValisSowilo), circuit.py, and circuit_functions.py.

Digital imagery is commonly divided into raster and vector representations, yet the distinction is frequently reduced to the misleading shorthand that raster images are composed of pixels while vector…

Digital imagery is commonly divided into raster and vector representations, yet the distinction is frequently reduced to the misleading shorthand that raster images are composed of pixels while vector images can be enlarged without loss of quality. For professional graphics work, the difference is considerably deeper. Raster and vector graphics encode visual information according to fundamentally different models: raster imagery records sampled values at discrete spatial locations, whereas vector imagery describes geometry, attributes, and relationships that must ultimately be rasterized for display or most forms of printing. This article examines the mathematical and practical foundations of both representations, including sampling, interpolation, aliasing, Bézier geometry, rasterization, resolution, compression, transparency, image tracing, technical illustration, photographic imagery, printing, and contemporary artificial-intelligence-assisted graphics. Particular attention is given to misconceptions surrounding resolution independence, raster-to-vector conversion, generative enlargement, and the assumption that a file format alone determines whether artwork is genuinely vector. The analysis argues that neither representation is intrinsically superior. Professional image construction instead depends upon selecting, combining, and preserving representations according to the visual information being modeled and the requirements of the final reproduction system.  

The Sensitive Data Expert Group of the Digital Research Alliance of Canada has created a suite of tools for Canadian researchers. These tools have been created to help researchers understand how resea…

The Sensitive Data Expert Group of the Digital Research Alliance of Canada has created a suite of tools for Canadian researchers. These tools have been created to help researchers understand how research data are involved in the research ethics process, and to address the evolution of research data management (RDM) practices such as data sharing and deposit in the context of existing research ethics frameworks. This tool, the Glossary of Terms for Sensitive Data used for Research Purposes, is intended to provide definitions for a number of common terms used in the discussion of the management of sensitive data in the Canadian context. These definitions have been informed by the Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans (TCPS2), the Consortia Advancing Standards in Research Administration Information and CODATA (CODATA), and other sources. Some definitions are kept from a previous version of the toolkit (DOI: 10.5281/zenodo.4060158), which drew from a variety of institutional sources.

Mazkur maqolada O'zbekistonda kimyo sanoatini rivojlantirishning institutsional, xomashyo, texnologik, investitsion, eksport, ekologik va hududiy xususiyatlari tizimli ravishda tadqiq etildi. Tadqiqot…

Mazkur maqolada O'zbekistonda kimyo sanoatini rivojlantirishning institutsional, xomashyo, texnologik, investitsion, eksport, ekologik va hududiy xususiyatlari tizimli ravishda tadqiq etildi. Tadqiqotda 2024–2025-yillarga oid rasmiy statistik ma'lumotlar, "O'zkimyosanoat" AJ hisoboti, O'zbekistonning kimyo va gaz-kimyo sanoatini strategik rivojlantirish dasturi hamda xalqaro ilmiy adabiyotlar tahlil qilindi. Natijalar kimyo mahsulotlari ishlab chiqarish hajmining uzoq muddatda sezilarli oshganini, investitsiya faolligi kuchayganini, biroq tarmoqda energiya sig'imdorligi, eskirgan uskunalar, importga bog'liqlik, yuqori qo'shilgan qiymatli mahsulotlar ulushini oshirish va ekologik samaradorlik masalalari saqlanib qolayotganini ko'rsatdi. Tadqiqot natijalari kimyo sanoatida resurs samaradorligi, mahsulot diversifikatsiyasi, ilmiy-tadqiqot va tajriba-konstruktorlik ishlari, klasterlash, kadrlar tayyorlash va eksport geografiyasini kengaytirish bo'yicha ilmiy-amaliy tavsiyalarni shakllantirish imkonini beradi.

This release contains 18 trained PyTorch checkpoints for six lane-marking detection methods evaluated in the OrthoLaneMark benchmark: U-Net, SCNN, UFLDv2, PolyLaneNet, LaneATT, and CLRNet. Three check…

This release contains 18 trained PyTorch checkpoints for six lane-marking detection methods evaluated in the OrthoLaneMark benchmark: U-Net, SCNN, UFLDv2, PolyLaneNet, LaneATT, and CLRNet. Three checkpoints are provided for each method, corresponding to random seeds 0, 1, and 2. The models use pavement intensity images and the fixed OrthoLaneMark split of 835 training, 192 validation, and 294 test images. Checkpoints were selected using validation gated region accuracy (GRA). Configurations and a manifest containing selected epochs, final presence thresholds, and file hashes are included. These checkpoints support reproduction of the learning-method results in “Presence-Aware Benchmarking of Lane-Marking Detection Methods for Pavement Distress Measurement,” under review at the ASCE Journal of Computing in Civil Engineering. Benchmark code and saved results are provided in the linked GitHub repository; the dataset is distributed separately. CC BY 4.0 applies to the benchmark authors’ contributions. Pretrained components retain their applicable third-party terms. Contacts: Haolin Wang, hlwang98@gatech.edu; Zhongyu Yang (corresponding author), zyang398@gatech.edu. No funding was received for this study.

Ushbu maqolada O'zbekiston Respublikasining eksport salohiyatini oshirish masalalari nazariy va amaliy jihatdan tahlil qilingan. Maqolada 2023–2025-yillar davomidagi eksport hajmi dinamikasi, uning to…

Ushbu maqolada O'zbekiston Respublikasining eksport salohiyatini oshirish masalalari nazariy va amaliy jihatdan tahlil qilingan. Maqolada 2023–2025-yillar davomidagi eksport hajmi dinamikasi, uning tovar va xizmatlar bo'yicha tarkibiy tuzilishi hamda asosiy tendensiyalari statistik ma'lumotlar asosida o'rganilgan. A. Smitning absolyut ustunlik nazariyasidan tortib, D. Rikardoning qiyosiy ustunlik konsepsiyasi, Xekesher-Olin modeli hamda M. Porterning millatlarning raqobatbardosh ustunligi nazariyasigacha bo'lgan yondashuvlar umumlashtirilgan. Shuningdek, xorijiy va mahalliy olimlarning eksport salohiyati va raqobatbardoshlikka oid tadqiqotlari qiyosiy tahlil qilingan. O'zbekiston Respublikasi Milliy statistika qo'mitasi va Markaziy bankning rasmiy ma'lumotlari asosida 2023–2025-yillar davomidagi eksport hajmi dinamikasi, uning tovar guruhlari va xizmatlar turlari bo'yicha tarkibiy tuzilishi, shuningdek, asosiy tendensiyalari uch jadval va diagramma orqali vizuallashtirilgan holda o'rganilgan. Mamlakat eksportida qimmatbaho metallar (oltin) hissasi sezilarli o'rin tutib, bu holat eksport tarkibini yanada diversifikatsiya qilish va yangi istiqbolli yo'nalishlarni rivojlantirish uchun muhim imkoniyatlarni shakllantiradi. Maqola yakunida eksport salohiyatini yanada oshirish, xizmatlar va sanoat mahsulotlari ulushini kengaytirish bo'yicha aniq takliflar ishlab chiqilgan.