Assessment is most powerful when understood as a leadership-driven process of continuous improvement—iterative, evidence-informed, and oriented toward genuine learning rather than compliance. However, the coordination costs of meaningful assessment have historically exceeded most programs’ capacity to sustain it. This...
Daniel M. Jenkins, Cristina de Mello e Souza Wildermuth· Intersection A Journal at th...· 0 citations
Transformasi digital mendorong organisasi mengubah cara mengelola sumber daya manusia (SDM), termasuk melalui penggunaan artificial intelligence (AI), sistem informasi SDM, dan pengaturan kerja yang lebih fleksibel. Artikel ini bertujuan menelaah bagaimana pemanfaatan AI dan fleksibilitas kerja berkaitan dengan produkt...
Ridha Afrillia Wibowo, Muhammad Syafi’i, Muhammad Renaldin· Jurnal Semesta Ilmu Manajeme...· 0 citations
Abstract Cholangiocarcinomas (CCAs) are a broad category of lethal cancers that arise in the biliary tree. After hepatocellular carcinoma (HCC), CCA is the second most common primary hepatic malignancy, making up 15% of all primary liver tumors. Their prognosis is poor because they are frequently diagnosed in advanced...
The Chemical Algorithmic Intelligence Framework: From Quantum Molecules to Regulatory Compliance by Dr. Mohamed Kamal Arafa El-Rakhawi (DOI: 10.5281/zenodo.23460404) establishes Chemical Algorithmic Intelligence as a groundbreaking academic field integrating artificial intelligence, computational chemistry, algorithmic...
mohamed kamal arafa el-rakhawi· Zenodo (CERN European Organi...· 0 citations
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Background: Chronic obstructive pulmonary disease (COPD) requires sustained patient education, self-management, medication use, pulmonary rehabilitation, symptom monitoring, and guideline-concordant clinical management. Large language models (LLMs) may expand access to conversational health information, but their value...
Hanyu Du· Journal of Public Health and...· 0 citations
Transformasi digital mendorong organisasi mengintegrasikan Artificial Intelligence (AI) dan Digital Human Resource Management (Digital HRM) dalam proses pengelolaan sumber daya manusia. AI dapat membantu analisis data, penyaringan kandidat, pembelajaran, serta evaluasi kinerja, sedangkan Digital HRM mendukung digitalis...
Ahmad Basyamil, Meri Julianti, Zidan Ramadhan· Jurnal Semesta Ilmu Manajeme...· 0 citations
This practitioner inquiry reports on a pilot at a small Catholic liberal arts college that used generative artificial intelligence (GenAI)-supported tools to help faculty complete program-assessment documentation during a structured Education Day. Grounded in Catholic social teaching and human-centered AI principles, t...
Holly Ravesloot, Amanda Copeland, Adam Pryor· Intersection A Journal at th...· 0 citations
This paper mainly examines whether artificial intelligence (AI) can really improve the efficiency of financial accounting work, and why accountants are still required to verify its outputs and provide necessary supervision. To address these issues, this study reviews academic papers and reports published by professiona...
Yue Yu· Advances in Economics Manage...· 0 citations
Using a panel of 45,385 firm-year observations of Chinese A-share listed firms over 2010-2025, this paper examines whether firm-level artificial intelligence (AI) development affects stock price crash risk. Two-way fixed effects estimates show that a higher level of corporate AI development significantly reduces both t...
Yi-Xuan Li· Advances in Economics, Manag...· 0 citations
The Hydro-Carbon Intelligence Framework: From Quantum Molecules to Global Governance by Dr. Mohamed Kamal Arafa El-Rakhawi (DOI: 10.5281/zenodo.23460269) establishes Hydro-Carbon Intelligence as a groundbreaking academic field integrating artificial intelligence, physics, mathematics, and environmental law to address t...
mohamed kamal arafa el-rakhawi· Zenodo (CERN European Organi...· 0 citations
The growing application of artificial intelligence in dentistry has opened new opportunities for predicting peri-implantitis (PI) using convolutional neural networks (CNNs). Transfer learning, where knowledge from a model pre-trained on a large dataset is adapted to a new, domain-specific task, may enhance performance,...
M. Saleh, Luigi Nibali, A. Alrmali et al.· Clinical Oral Investigations· 0 citations
Due to the diffraction limit of conventional telescopes, the angular resolution of single-aperture instruments in the visible band is typically restricted to ~0.02 arcseconds, which hampers the effective resolution and imaging of close binary systems and stellar surface features. To overcome this limitation, optical in...
