Good knowledge, positive attitude and some sociodemographic factors were significant with exclusive breastfeeding which are needed to improve for promoting exclusive breastfeeding practices and reducing infant mortality and morbidity.
M. Hasan, M. Hassan, M. Khan et al.· Population Medicine· 32 citations· ⚡6
Children suffering from severe acute malnutrition (SAM) have a weakened immune system. The relationship between malnutrition and alterations in the frequency of peripheral blood mononuclear cells (PBMCs) remains unclear. This study investigated the altered immune responses in Bangladeshi children with SAM compared to h...
Zannatun Noor, S. Islam, M. Hasan et al.· Immunobiology· 3 citations
This paper develops two new encoding-decoding constructions that attain the previously established lower bound on the achievable miss-detection probability in the finite-token regime, thereby completely characterizing the optimal multi-bit watermarking performance.
Chatbots are increasingly consulted about public affairs, and their judgments of policies are useful only if they are robust. We measure this robustness in the setting of an ordinary user, through consumer chat interfaces. For 30 days, five chatbot configurations (Mistral, Gemini Flash, Claude Sonnet, and Claude Opus a...
Oleg Vasilyev· 0 citations
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The capacity for uninterrupted, one-shot document parsing signifies a fundamental paradigm shift into the OCR 3.0 era, and enables document parsing over virtually unlimited lengths without prohibitive memory overhead.
Shubo Wei, Jing-Jing Wu, Qun-Yi Xie et al.· 0 citations
Large language models (LLMs) are increasingly used to generate research ideas from scientific literature. Existing systems combine literature retrieval with search, generation, and refinement, making it difficult to determine how the retrieval strategy itself shapes the ideas generated. We isolate this contribution by...
Zhipin Wang, Koel Dutta Chowdhury, Christoph Leiter et al.· 0 citations
Large language models (LLMs) are increasingly explored for mental health support, yet existing benchmarks primarily focus on supportive capabilities rather than whether models consistently adhere to professional ethical boundaries. This issue is particularly important in multi-turn interactions, where users may introdu...
Bi-Chen Wang, Yu-Feng Jin, Yi-Xin Sun et al.· 0 citations
LLM-guided evolutionary search iteratively selects existing programs, uses LLMs as mutation operators to generate a new program, and evaluates it to guide subsequent search. To preserve diversity and reduce the risk of premature convergence, it often adopts the island model, in which groups of programs, called islands,...
Seockbean Song, Youngsik Yoon, Sungjae Lee et al.· 0 citations
Large language models hold promise for delivering safe, scientifically grounded, and personalized exercise guidance at scale, yet the sports-and-health domain still lacks curated training corpora and rigorous evaluation benchmarks. Keepace (Keepace.ai) is a domain-specialized LLM built on Qwen3.5-27B through post-train...
A metacognitive controller is introduced that guides diffusion generation according to the needs of the current response and the agent's interaction with the environment, reducing overall computation within responses.
Ming-Yu Zhao, Shu-Hang Lin, Li-Gong Han et al.· 0 citations
We study how text serialization affects table lookup in instruction-tuned language models. Our diagnostic asks the model to find the row containing a specified value under one named column, then return the value under another named column in that same row. We render the same synthetic 256-cell tables in row-major form...
This paper investigates whether the postmodern claim of unrestricted semantic indeterminacy, and its foundational Saussurean axiom of the arbitrary sign, are compatible with the structural architecture of Classical Arabic. We develop a formal mathematical model of Arabic non concatenative morphology in which lexical me...
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
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