Our Work

يقدّم هذا الكتاب مشروعاً فلسفياً متكاملاً لتأسيس نظرية معرفية وجودية شاملة، انطلاقاً من سؤال مركزي: ما السؤال؟ ينقسم الكتاب إلى ثلاثة أقسام رئيسية: قراءة نقدية تأملية في طبيعة السؤال، ومقالة تأسيسية ت…

يقدّم هذا الكتاب مشروعاً فلسفياً متكاملاً لتأسيس نظرية معرفية وجودية شاملة، انطلاقاً من سؤال مركزي: ما السؤال؟ ينقسم الكتاب إلى ثلاثة أقسام رئيسية: قراءة نقدية تأملية في طبيعة السؤال، ومقالة تأسيسية تعيد تعريف السؤال والمعرفة والوعي، وملحق يمهّد لتأسيس مفهومي "قضوية السؤال" و"نظرية السياقات". يعرّف المؤلف السؤال بأنه طلب شيء ما من A إلى B، بوصفه علاقة وجودية شاملة لا تقتصر على الإنسان، بل تشمل الجماد والنبات والحيوان. فالأرض العطشة تطلب المطر، والشجر يطلب الماء والغذاء، والحجر يطلب موضعاً ليكون فيه. ومن هنا، يصبح السؤال فعلًا وجودياً، والجواب ردّ فعل، والعلاقة بينهما ديناميكية. ويقدّم الكتاب تعريفاً جديداً للمعرفة بوصفها محتوى الأجوبة عن الأسئلة المعنوية، وليست حكراً على الإنسان. ويميّز بين درجات المعرفة والوعي: المعرفة الإبداعية (الإنسان)، والمعرفة الإدراكية (الحيوان)، والمعرفة التوجيهية (النبات)، والمعرفة الخضوعية (الجماد). ويربط ذلك بالسنن الإلهية، فيجعل السؤال والجواب علاقة بين الكائن وسنن الله. كما يطرح الملحق مفهوم "قضوية السؤال": دراسة السؤال بوصفه قضية تحتمل الصحة والخطأ، لا مجرد أداة للوصول إلى الجواب. فالسؤال بنية مركبة من افتراض مسبق، ومطلوب، ومجال إجابة. ويقدّم معياراً للصحة القضوية للسؤال، ويصنّف أنواع الخطأ فيه. ثم يربط ذلك بـ"نظرية السياقات"، حيث السياق إطار إدراكي شامل، والسؤال أداة لتفكيك السياق وفحصه. ينتهي الكتاب بدعوة إلى نظرية معرفية وجودية، مستنبطة من القرآن والعقل والوجود، وتفتح آفاقاً جديدة في الفلسفة والمنطق والتعليم والإعلام والسياسة والدين.

This project analyzes more than 116,000 SBA 504 and 7(a) loan records to identify patterns in lending activity, borrower characteristics, risk, and future demand. The analysis combines exploratory dat…

This project analyzes more than 116,000 SBA 504 and 7(a) loan records to identify patterns in lending activity, borrower characteristics, risk, and future demand. The analysis combines exploratory data analysis, predictive modeling, borrower segmentation, and time series forecasting to evaluate factors affecting loan performance and funding activity. Random Forest and XGBoost models were used to identify key predictors of default, with loan term, approval amount, days to disbursement, business age, industry, and geographic factors emerging as important variables. K Means clustering was used to identify distinct borrower segments, while 24 month forecasts were developed for 7(a) loan volume and approval dollars. The results provide a data driven framework for forecasting demand, planning operational capacity, managing risk, and supporting automated decision making. The analytical approach is also applicable to supply chain and operations environments where forecasting, resource planning, process efficiency, and predictive risk analysis are used to improve decision making.

Initial version of course from Jan 2022 with some minor updates, start of Zenodo badge Oct 5, 2026

A formação do engenheiro agrônomo e do administrador rural ocupa-se, em grande parte, de como produzir. A agronomia ensina quanto um hectare rende, como controlar uma praga, como i…

A formação do engenheiro agrônomo e do administrador rural ocupa-se, em grande parte, de como produzir. A agronomia ensina quanto um hectare rende, como controlar uma praga, como irrigar com eficiência. Raramente, porém, a formação ocupa-se do que deve ser produzido e do que convém produzir sob este risco. Essa lacuna produz um profissional tecnicamente competente e economicamente mal preparado.

Reproducibility code for the validation of GradLint, a fast, standalone quality-control gate for diffusion-MRI (dMRI) gradient tables. GradLint detects the silent b-vector flip / axis-permutation erro…

Reproducibility code for the validation of GradLint, a fast, standalone quality-control gate for diffusion-MRI (dMRI) gradient tables. GradLint detects the silent b-vector flip / axis-permutation error, audits the gradient scheme and b-value structure, and writes an auto-repaired FSL bvec/bval and/or MRtrix .b table with a machine-readable provenance log. This archive contains the analysis scripts that benchmark GradLint head-to-head against the field-reference checker, MRtrix3 dwigradcheck, across three multi-shell dMRI cohorts: HCP1200 (N=105, 1.25 mm), a single-site 3 T Siemens Prisma acquisition (N=57, 2 mm), and the OpenNeuro multiple-sclerosis dataset ds007908 (N=28, 1.5 mm). The user can use one or more of the three datasets for the analysis.  The numbered stage scripts establish, end-to-end and antipode-aware: specificity (a correct acquired table is left untouched — no false repair), sensitivity/robustness (an injected flip is detected and correctly repaired down a severity ladder of Rician noise and direction-count reduction), agreement with dwigradcheck on the recovered convention, frame-aware FSL↔MRtrix cross-format emission on oblique/radiological affines, and per-subject runtime. Grading is done against a machine-readable ground-truth manifest. Input datasets are treated read-only; all output is written under a user-chosen base. This suite is distributed separately from the installable GradLint package — it is the analysis code behind the published validation results, not part of the tool. GradLint source code: https://github.com/marcotag93/GradLint GradLint software archive (Zenodo): https://doi.org/10.5281/zenodo.20847595 Requires a release GradLint binary, MRtrix3 (dwigradcheck, mrinfo) on PATH, and Python ≥ 3.10. See the bundled README.md for the full protocol, input layout, and per-stage commands. Licensed under MIT, matching GradLint.

Maqolada mayda urug‘larni saralash uchun taklif qilinayotgan kommbinatsiyalashgan qurilmaning tuzilishi va ishlash prinsipi to‘g‘risida ma’lumotlar keltirilgan.

This article examines major trends in the development of automated command and control systems for air-defense assets, with emphasis on architecture, data integration, decision support, interoperabili…

This article examines major trends in the development of automated command and control systems for air-defense assets, with emphasis on architecture, data integration, decision support, interoperability, cyber resilience, human-machine teaming, and institutional requirements. The study uses a structured qualitative review of open official documents and peer-reviewed or professionally reviewed publications, combining evidence from NATO and allied institutions with official sources from the Republic of Uzbekistan. The results indicate a transition from platform-centric and vertically integrated Command and Control toward federated, modular, data-centric systems-of-systems. The article concludes that successful modernization depends less on acquiring isolated technologies than on establishing interoperable standards, high-quality data governance, secure communications, rigorous testing and evaluation, and a phased human-centered transformation model. The analysis remains at the strategic and systems-engineering level and does not address operational vulnerabilities or tactical employment procedures.

What's Changed Fix deprecations by @ken-lauer in https://github.com/lume-science/lume-impact/pull/90 BUG/DOC: fix LumeModel.get calls with new api by @tangkong in https://github.com/lume-science/lume…

What's Changed Fix deprecations by @ken-lauer in https://github.com/lume-science/lume-impact/pull/90 BUG/DOC: fix LumeModel.get calls with new api by @tangkong in https://github.com/lume-science/lume-impact/pull/91 Full Changelog: https://github.com/lume-science/lume-impact/compare/v0.12.2...v0.12.3