Our Work

Todo investimento no campo é uma aposta sobre o futuro: planta-se em outubro para colher em março; renova-se o canavial de 2026 para a safra de 2031; o pomar plantado hoje paga a aposent…

Todo investimento no campo é uma aposta sobre o futuro: planta-se em outubro para colher em março; renova-se o canavial de 2026 para a safra de 2031; o pomar plantado hoje paga a aposentadoria. Entre a decisão de agora e a receita lá adiante cabem clima, preço, câmbio e juros. Este livro é sobre como medir direito essa aposta — com os pés na porteira e a planilha na mesa. O texto nasceu da disciplina de Viabilidade Econômica de Projetos, e é o companheiro da série que conta com Economia e Administração Rural e Mercados Futuros Agropecuários. A arquitetura é a mesma em todos: narrativa de campo, teoria com símbolos explicados um a um, aplicação com dados reais do setor e exercícios em quatro níveis — do conceitual ao projeto de mesa de crédito. A maior parte dos cálculos foi reconstruída a partir das próprias planilhas oficiais da disciplina; onde o material antigo deixou resíduo (uma TIR mal lida, um número errado de ano), corrigimos e mostramos tanto o valor certo quanto o procedimento. O leitor que devolver o VPL de cada capítulo de cor estará pronto para avaliar — e defender junto a um credor — qualquer projeto rural.

Bir yazılımın çalışması, yalnızca doğru kod yazılmasına bağlı değildir. Kodun güvenilir biçimde derlenmesi, test edilmesi, paketlenmesi, uygun ortama taşınması, izlenmesi ve hata du…

Bir yazılımın çalışması, yalnızca doğru kod yazılmasına bağlı değildir. Kodun güvenilir biçimde derlenmesi, test edilmesi, paketlenmesi, uygun ortama taşınması, izlenmesi ve hata durumunda hızlıca iyileştirilmesi gerekir. Geleneksel yapılarda bu işler farklı ekiplerin sınırları içinde yürütüldüğünde, teslim süreleri uzayabilir ve sorumluluklar belirsizleşebilir. DevOps, bu parçaları tek bir değer akışının bileşenleri olarak ele alan kültürel ve teknik bir yaklaşımdır.

For best results and reproducibility, users should use the latest Zenodo version of this software unless a specific earlier version is required. You can also view the repository on Github HERE! T…

For best results and reproducibility, users should use the latest Zenodo version of this software unless a specific earlier version is required. You can also view the repository on Github HERE! This repository contains Python-based tools for analyzing electrochemical impedance spectroscopy (EIS) data using two complementary approaches: distribution of relaxation times (DRT) analysis and equivalent circuit modeling (ECM). The software combines regularized DRT inversion based on radial basis functions with nonlinear least-squares fitting of impedance spectra to equivalent circuit models. This software accompanies the published article: Bosah, O., & Kalu, E. E. (2026). DRT-guided constraints and CI-admissibility for series-based equivalent-circuit modeling of EIS. Electrochimica Acta, 571, 149057. https://doi.org/10.1016/j.electacta.2026.149057 How to cite If you use this software, please cite the main paper: Bosah, O., & Kalu, E. E. (2026). DRT-guided constraints and CI-admissibility for series-based equivalent-circuit modeling of EIS. Electrochimica Acta, 571, 149057. https://doi.org/10.1016/j.electacta.2026.149057 Please also cite this Zenodo software record when referring specifically to the archived code version used for analysis, reproducibility, or reuse. Users of this software should cite the main journal article above, as it provides the theoretical basis, workflow design, validation strategy, and electrochemical interpretation framework implemented in the code. The Zenodo software record may also be cited when referring specifically to the archived code version used for analysis, reproducibility, or reuse. The DRT workflow reconstructs the relaxation-time distribution from impedance data, enabling identification and comparison of electrochemical processes through their characteristic relaxation times. The ECM workflow provides circuit-based fitting for estimating electrochemical parameters commonly used to interpret impedance spectra. Together, these tools offer an integrated framework for both process-resolved interpretation and traditional circuit-based analysis of EIS measurements. The software includes functionality for data loading, preprocessing, DRT inversion, regularization-parameter selection, peak detection, uncertainty analysis, Kramers-Kronig/linKK consistency checking, equivalent-circuit fitting, and visualization of Nyquist, Bode, residual, DRT, and series-comparison plots. The tools are intended for researchers working on electrochemical systems, including fuel cells, electrolyzers, batteries, supercapacitors, corrosion systems, sensors, and other energy-conversion or energy-storage devices. The software is released to support transparency, reproducibility, and reuse of the impedance-analysis workflow described in the accompanying Electrochimica Acta paper.

Thirteen executed Colab lab notebooks on interpreting, evaluating, and trusting large language models: feature attribution, attention analysis, probing, chain-of-thought faithfulness, mechanistic inte…

Thirteen executed Colab lab notebooks on interpreting, evaluating, and trusting large language models: feature attribution, attention analysis, probing, chain-of-thought faithfulness, mechanistic interpretability, behavioral auditing, explanation-aware training, and production explainability. Each lab runs on a free-tier Colab T4 GPU in twenty minutes or less, with fixed seeds. Companion repository for the book Hands-On Explainable AI (Hadi Mohammadi).

High-risk pregnancy requires intensive maternal and fetal surveillance, yet conventional antenatal monitoring may impose substantial travel, financial, and healthcare-system burdens. Wearable sensors,…

High-risk pregnancy requires intensive maternal and fetal surveillance, yet conventional antenatal monitoring may impose substantial travel, financial, and healthcare-system burdens. Wearable sensors, mobile health platforms, remote physiological monitoring, and artificial intelligence (AI) have emerged as technologies capable of extending pregnancy surveillance beyond the clinical setting. This systematic review synthesized evidence regarding the effects of remote maternal and fetal monitoring, particularly wearable and AI-supported technologies, on maternal and perinatal outcomes in high-risk pregnancy. Evidence identified from PubMed/MEDLINE, Embase, Web of Science, Scopus, CINAHL, Cochrane Library, and relevant reference lists, with emphasis on systematic reviews, randomized controlled trials, prospective studies, and technology evaluations. Outcomes included maternal blood pressure control, hypertensive complications, cesarean delivery, preterm birth, neonatal asphyxia, low birth weight, neonatal intensive care admission, healthcare utilization, and patient acceptability. Existing evidence indicates that remote monitoring can facilitate frequent physiological assessment, improve continuity of surveillance, and potentially reduce unnecessary face-to-face encounters. A published meta-analysis of nine studies involving 1,128 participants found a lower risk of neonatal asphyxia with remote fetal monitoring (RR=0.66, 95% CI:[0.45,0.97]), while differences in cesarean delivery, induced labor, instrumental birth, gestational age, preterm birth, and low birth weight were not statistically significant. Recent evidence suggests that remote blood pressure monitoring in women at high risk of preeclampsia can reduce antenatal visits and hospital admissions without increasing adverse maternal or fetal outcomes. AI-based fetal heart-rate analysis may further enhance risk stratification, although external validation, interpretability, and clinical integration remain important limitations. Overall, wearable and AI-enabled remote monitoring appears promising as a complement to conventional high-risk antenatal care rather than a complete replacement for clinical assessment.

Yüksek yapılar, sınırlı kentsel alanların daha etkin kullanılmasına olanak sağlamaları nedeniyle günümüz kentleşme politikalarının önemli yapı tipolojilerinden biri hâli…

Yüksek yapılar, sınırlı kentsel alanların daha etkin kullanılmasına olanak sağlamaları nedeniyle günümüz kentleşme politikalarının önemli yapı tipolojilerinden biri hâline gelmiştir. Ancak, bu yapıların inşasında kullanılan yüksek miktardaki malzeme, uzun hizmet ömürleri boyunca tükettikleri enerji ve kullanım ömrü sonunda ortaya çıkan atık miktarı, çevresel sürdürülebilirlik açısından tartışmaları da beraberinde getirmektedir.

CBAM ontologies and vocabularies

Post-training quantization (PTQ) compresses large video-diffusion transformers without fine-tuning, and acceptance tests built from biomechanical measurements of the generated motion have been propose…

Post-training quantization (PTQ) compresses large video-diffusion transformers without fine-tuning, and acceptance tests built from biomechanical measurements of the generated motion have been proposed as an alternative to frame-averaged reconstruction quality. This study examines whether such a test separates quantized from unquantized renders once it is calibrated against the numerical variability of the generator itself. For DynamiCtrl, a 5.77-billion-parameter pose-conditioned video-diffusion transformer, a null distribution is constructed from 57 pairs of numerically equivalent bfloat16 renders that differ only in attention kernel, weight dither at the scale of one unit in the last place, or execution platform. Seven stipulated thresholds accept only 14 of the 57 null pairs. Recalibrated to a 5% null rejection rate, the test accepts 75–97% of the renders in every W8A8 configuration examined, including full-model quantization on 38 of 39 renders; after multiplicity correction no check separates any configuration from the null pair by pair (smallest adjusted p = 0.088), and a clip-level paired analysis separates one of 17 configurations. PSNR against the same-seed bfloat16 render separates the full-model and blocks-1–13 configurations from the null: full W8A8 lies 2.4–3.0 dB below the null median of 34.2 dB, quantizing only blocks 1–13 reproduces most of that deficit, and two hybrid maps that keep those blocks in bfloat16 return to within 0.9 dB of the null while reducing DiT weight memory from 11.54 to 8.498.89 GB. Acceptance tests of this kind therefore require null calibration before their verdicts can be interpreted.

Son yıllarda, yapay zekâ ve derin öğrenme teknolojilerindeki hızlı gelişmeler, birçok disiplinin olduğu gibi mimarlık alanının da dönüşümünü hızlandırmıştır.…

Son yıllarda, yapay zekâ ve derin öğrenme teknolojilerindeki hızlı gelişmeler, birçok disiplinin olduğu gibi mimarlık alanının da dönüşümünü hızlandırmıştır. Özellikle veri odaklı tasarım yaklaşımlarının yaygınlaşmasıyla birlikte, mimari tasarım, analiz ve karar verme süreçleri yeniden şekillenmiştir.

Résumé La prédiction de faillite constitue un enjeu majeur pour la prise de décisions financières, mais l’application du modèle Z’-score d’A…

Résumé La prédiction de faillite constitue un enjeu majeur pour la prise de décisions financières, mais l’application du modèle Z’-score d’Altman au secteur agroalimentaire de la République Démocratique du Congo demeure peu documentée, malgré sa large validation dans les économies développées et émergentes. Cette étude comble cette lacune en évaluant le risque de faillite de sept grandes entreprises agroalimentaires de la ville province de Kinshasa de 2018 à 2024 à l’aide du modèle Z’-score révisé en utilisant des données financières corrigées des effets de l’inflation et de la volatilité du taux de change. Les résultats montrent que plus de la moitié d’entreprises étudiées se situe dans la Zone de Faillite, révélant une forte vulnérabilité financière du secteur, tandis que seules quelques entreprises présentent une situation financière durablement saine. L’étude contribue ainsi à enrichir la littérature sur la prédiction de la défaillance des entreprises dans les économies en développement et fournit des informations utiles aux décideurs économiques.   Mots clés : prédiction, faillite, industrie agroalimentaire, modèle Z-score Classification JEL : G33, G32, C53, L66 Type d’article : recherche empirique