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Каламуш буйрак нефронларининг тажрибада “ЮЁЮУР” МС таъсирида ўзгаришга учраган буйрак параметрларин ўлчамлари солиштирма тахлил қилинди. Тажрибавий “ЮЁЮУР”даги МС чакирилган ха…

Каламуш буйрак нефронларининг тажрибада “ЮЁЮУР” МС таъсирида ўзгаришга учраган буйрак параметрларин ўлчамлари солиштирма тахлил қилинди. Тажрибавий “ЮЁЮУР”даги МС чакирилган хайвонларда буйрак нефронларига таъсири дифференциал морфофункционал жавоб реакцияси кузатилди: буйракнинг структур параметрларнинг ошиши - компенсатор филтрацион фаолликнинг кучайиши ва гомеостазни сақлашга қаратилган мослашув, нефрон найчаларнинг девор қалинлиги ошиши - сув-туз балансини сақлашга қаратилганлиги, филтрация ҳажми ва реабсорбцион фаолликнинг кучайганлигини ифодалаб, буйракда нефронлар параметрлари назорат гуруҳидаги ҳайвонларга нисбатан сезиларли даражада ошганлиги қайд этилди.

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Purpose: This study examines the effects of Artificial Intelligence Marketing Capability on Marketing Decision-Making Effectiveness and Quality of Data-Driven Insights. It further tests the effect and…

Purpose: This study examines the effects of Artificial Intelligence Marketing Capability on Marketing Decision-Making Effectiveness and Quality of Data-Driven Insights. It further tests the effect and mediating role of Quality of Data-Driven Insights, and the moderating role of Ethical AI Governance. Design/methodology/approach: A mixed-methods design was employed using survey responses from 150 marketing professionals in Saudi Arabia and interviews with marketing and analytics practitioners. PLS-SEM was used to test the proposed relationships, while interview data were analysed thematically. Findings: The findings indicate that Artificial Intelligence Marketing Capability contributes to more effective marketing decision-making. Quality Data-Driven Insights emerged as an important mechanism through which AI capability supports decision effectiveness. The qualitative evidence further highlighted faster responses, improved decision confidence, actionable insights, and the importance of ethical governance. Overall, the results suggest that the value of AI depends not only on technological capability but also on the quality of insights and governance practices. Research Implications: The study extends the Resource-Based View by linking AI marketing capability with decision-making effectiveness through the quality of data-driven insights. It also brings ethical AI governance into the proposed framework as a contextual factor influencing the value of AI capability. By combining quantitative and qualitative evidence, the study provides a more integrated explanation of how technological capability, information quality, and governance interact in AI-supported marketing decisions. Social Implications: Managers should focus on developing AI capabilities that produce reliable, relevant, and actionable marketing insights rather than adopting AI tools solely for technological advancement. Organisations should also strengthen employee expertise, data practices, transparency, accountability, and fairness in AI use. Clear governance procedures can improve confidence in AI-supported decisions while reducing potential risks. These measures can help organisations translate AI investments into more timely and informed marketing decisions. Originality / Value: The study offers an integrated framework connecting AI Marketing Capability, Quality of Data-Driven Insights, Marketing Decision-Making Effectiveness, and Ethical AI Governance. Its distinctive contribution lies in examining insight quality as a mediating mechanism while considering ethical governance as a moderating factor. The mixed-methods design further combines statistical evidence with managerial perspectives, providing a broader view of how organisations can derive decision-making value from AI-enabled marketing capabilities.   Keywords:   JEL: M31, M15, O33, D81.

Geotechnical Engineering Explained: Soil, Foundations & Earth System Design is an open educational resource (OER) curriculum module establishing the continuum mechanics, subsurface testing protoco…

Geotechnical Engineering Explained: Soil, Foundations & Earth System Design is an open educational resource (OER) curriculum module establishing the continuum mechanics, subsurface testing protocols, and computational modeling paradigms governing earth-structure interactions. The module establishes a rigorous geotechnical engineering foundation across nine specialized domains: Subsurface Mechanics & Testing: Soil mechanics (Mohr-Coulomb shear criteria, Terzaghi 1D consolidation theory, Darcy's seepage law), rock mass characterization (RMR/GSI), in-situ exploration (SPT, CPTu piezocone, pressuremeter, borehole coring), and laboratory testing (triaxial compression, oedometer, Atterberg plasticity limits). Foundation & Earth Retention Systems: Shallow spread/raft foundation bearing capacity, deep bored shafts and driven pile friction mechanics, retaining wall lateral earth pressures (Rankine/Coulomb), and deep excavation shoring. Geotechnical Hazards & Ground Improvement: Limit equilibrium and finite element slope stability (infinite slope equilibrium, Bishop method of slices), seismic liquefaction triggers, deep soil mixing, dynamic compaction, vibro-replacement stone columns, and bio-mediated cementation (MICP). Key Analytical & Technical Features: Foundation System & Ground Modification Trade-off Matrix: Multi-variable comparison evaluating Shallow Spread Footings, Driven Precast Concrete Piles, Bored Cast-in-Situ Shafts, and Vibro-Stone Columns across load capacities, stratigraphy limits, vibration noise, and lifecycle risk allocation. Worked Numerical Engineering Application: Multi-step Terzaghi bearing capacity derivation for continuous strip footings under general shear failure, calculating surcharge overburden contributions, ultimate capacity, allowable capacity (FS = 3.0), and permissible wall line loads. Interactive Slope Stability & Landslide Simulator: Client-side dynamic canvas tool evaluating infinite hillside equilibrium, displaying pore water ratio degradation ($r_u$), driving gravity shear, and resisting strength vectors in runtime. Comprehensive Multi-Tiered Assessment: Ten foundational concept reviews, seven scenario-based thought questions, and seven step-by-step numerical calculations (including vertical effective stress profiles, Terzaghi bearing capacity, net allowable pressures, one-dimensional consolidation settlement, Rankine active lateral forces, and constant-head permeability).

This dataset contains curated, anonymized empirical survey microdata and dynamic mass-flow parameters collected from 59 commercial apple processing facilities across South Korea. All personal and ente…

This dataset contains curated, anonymized empirical survey microdata and dynamic mass-flow parameters collected from 59 commercial apple processing facilities across South Korea. All personal and enterprise identifying details have been permanently removed to ensure confidentiality. These data support the research findings on apple pomace reverse supply chain management and valorization.

What's Changed Update deps to modern versions, add minor QoF improvements by @ammaraziz in https://github.com/MDU-PHL/pango-collapse/pull/20 New Contributors @ammaraziz made their first contributio…

What's Changed Update deps to modern versions, add minor QoF improvements by @ammaraziz in https://github.com/MDU-PHL/pango-collapse/pull/20 New Contributors @ammaraziz made their first contribution in https://github.com/MDU-PHL/pango-collapse/pull/20 Full Changelog: https://github.com/MDU-PHL/pango-collapse/compare/v0.8.2...v0.8.3

Maqolada yaqin qarindoshlik jinoyat sub’yektining fakultativ belgisi sifatida jinoyat-huquqiy jihatdan tahlil qilingan. O‘zbekiston Respublikasi jinoyat qonunchiligida yaqin qarindoshlik t…

Maqolada yaqin qarindoshlik jinoyat sub’yektining fakultativ belgisi sifatida jinoyat-huquqiy jihatdan tahlil qilingan. O‘zbekiston Respublikasi jinoyat qonunchiligida yaqin qarindoshlik tushunchasi, uning jinoiy javobgarlikka ta’siri, yaqin qarindoshlarga nisbatan sodir etiladigan jinoyatlarni kvalifikatsiya qilish xususiyatlari yoritilgan. Jinsiy erkinlik va daxlsizlikka qarshi jinoyatlar, oilaviy (maishiy) zo‘ravonlik hamda shaxsga va mulkka qarshi ayrim jinoyatlarda aybdorning jabrlanuvchi bilan qarindoshlik munosabatlarining huquqiy ahamiyati ochib berilgan. Germaniya, Ispaniya, Frantsiya, Qozog‘iston, Rossiya va Ukraina jinoyat qonunchiligi qiyosiy tahlil qilinib, yaqin qarindoshlik munosabatlarining javobgarlikni differentsiatsiya qilishdagi o‘rni ko‘rsatilgan. Sud amaliyoti materiallari asosida yaqin qarindoshlarga nisbatan sodir etilgan jinoyatlarning xususiyatlari tahlil qilinib, O‘zbekiston Respublikasi Jinoyat kodeksining 56-moddasida yaqin qarindoshga nisbatan jinoyat sodir etishni jazoni og‘irlashtiruvchi holat sifatida belgilash, shuningdek ayrim jinoyat tarkiblarida mazkur belgini javobgarlikni og‘irlashtiruvchi kvalifikatsiya qiluvchi belgi sifatida nazarda tutish yuzasidan takliflar ilgari surilgan.

Reproducibility package for GPU-TSA-EMO, a GPU-tensorized surrogate-assisted evolutionary multi-objective optimization (SAEA) framework. GPU-TSA-EMO fully tensorizes the entire SAEA pipeline - surroga…

Reproducibility package for GPU-TSA-EMO, a GPU-tensorized surrogate-assisted evolutionary multi-objective optimization (SAEA) framework. GPU-TSA-EMO fully tensorizes the entire SAEA pipeline - surrogate model training, surrogate prediction, population evolution, and model management - onto a single GPU computation graph.Contents:Full source code of the GPU-tensorized SAEA framework (PyTorch, EvoTorch)Expensive multi-objective benchmark problems (DTLZ1-7, WFG1-9, MW1-14) with simulated expensive evaluationCPU baseline implementations (pymoo-based NSGA-II with surrogate)Experiment scripts: speedup, solution quality, ablation, scalability, and constrained-problem studiesConfigurations and instructions to reproduce all reported resultsRequirements: Python 3.10+, PyTorch 2.x (CUDA 12.x), EvoTorch, pymoo, NumPy, SciPy, pandas, matplotlib.

This dataset accompanies a study of how local scour changes seismic intensity measures at the scoured bed of liquefiable and non-liquefiable sites. Using 240 soil profile–ground motion pairs, th…

This dataset accompanies a study of how local scour changes seismic intensity measures at the scoured bed of liquefiable and non-liquefiable sites. Using 240 soil profile–ground motion pairs, the study separates the overall scour effect into burial-depth and wave-field modulation effects. The archive contains soil-profile parameters, profile–motion pairings, input-motion metadata and response spectra, and processed data underlying Figs. 4 and 6–10 and Tables 5–6 of the accompanying manuscript. The original accelerograms are available from the PEER Transportation Systems Research Program (https://peer.berkeley.edu/node/199) and are not included in this archive.

Mazkur maqolada sun’iy intellekt asosida ishlovchi AI-chatbotlardan ta’lim jarayonida foydalanishning o‘quvchilarning kognitiv faoliyati, mustaqil fikrlashi va tanqidiy fikrlash ko&l…

Mazkur maqolada sun’iy intellekt asosida ishlovchi AI-chatbotlardan ta’lim jarayonida foydalanishning o‘quvchilarning kognitiv faoliyati, mustaqil fikrlashi va tanqidiy fikrlash ko‘nikmalariga ta’siri tahlil qilinadi. Zamonaviy chatbotlar axborotni tez izlash, murakkab tushunchalarni izohlash, individual ta’limni qo‘llab-quvvatlash va o‘quvchilarga tezkor fikr-mulohaza berish imkonini yaratmoqda. Shu bilan birga, tayyor javoblarga ortiqcha tayanish, ma’lumotni mustaqil tahlil qilmaslik va muammoni o‘zi hal qilishga bo‘lgan ehtiyojning kamayishi kognitiv yuklamaning boshqa shaklga o‘tishiga hamda ayrim hollarda o‘quv jarayonining yuzakilashishiga olib kelishi mumkin. Maqolada “kognitiv atrofiya” tushunchasi o‘quvchilarning mustaqil fikrlash, tahlil qilish, baholash va xulosa chiqarish faoliyatining susayishi xavfi sifatida talqin qilinadi. So‘nggi ilmiy tadqiqotlar asosida AI-chatbotlardan foydalanishning ijobiy va salbiy jihatlari, kognitiv offloading, bilimni uzoq muddat saqlash, tanqidiy fikrlash hamda metakognitiv nazorat bilan bog‘liq masalalar yoritiladi. Tadqiqot natijasida AI-chatbotlarni ta’limdan chetlashtirish emas, balki ulardan pedagogik jihatdan nazorat qilinadigan, maqsadli va tanqidiy foydalanish zarurligi asoslanadi.