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623 papers
Three-dimensional printing is currently closer to routine clinical use than vascular bioprinting, particularly in anatomical modeling, treatment planning, procedural simulation, education, and patient communication.
Clinical deployment of artificial intelligence-generated radiology reports requires explicit entity-relation validation, structured accuracy assessment, and radiologist oversight to protect patient safety, and these findings reinforce a broader principle.
The Concept Tree Learner is introduced, an incremental and interpretable symbolic framework that induces logical concepts over binary strings from minimal labeled data and generalizes substantially better to unseen strings than both a classical entropy-based decision tree and the RIPPER rule learner.
This study designs, prototypes, and evaluates Servi.AI, a personality-aware multi-agent intelligent decision support system for enterprise strategy, and finds that selective rather than default deployment is supported.
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The writing skills of second-grade students at SD Negeri 4 Made Lamongan remain low, as shown by approximately 60% of students who have not reached the Minimum Completeness Criteria, particularly in composing simple sentences and developing vocabulary. Indonesian language learning that is still dominated by lecture-based methods without varied media is one of the causes of students' low engagement. This study aims to produce a “Petualangan Kata” educational game media based on Word Search Maker that is valid, practical, and effective in improving the writing skills of second-grade elementary students. This study used the Research and Development (R&D) method with the ADDIE development model (Analysis, Design, Development, Implementation, Evaluation) and a Control Group Pretest-Posttest experimental design. The research subjects were 40 second-grade students of SD Negeri 4 Made, consisting of class II A as the experimental group and class II B as the control group. The results showed that the media was categorized as highly valid, with average scores of 3.76 from material experts, 3.84 from media experts, and 3.82 from design experts out of a maximum score of 4.00. The practicality of the media was also in the very good category, with student response scores of 3.75 in the small-group trial and 3.81 in the large-group trial. The t-test result obtained a significance value of 0.000 (< 0.05), indicating a significant difference between the experimental and control classes, while the N-Gain Score test showed a 73.66% improvement in the experimental class, categorized as high. This study concludes that the “Petualangan Kata” educational game media based on Word Search Maker is valid, practical, and effective for improving the writing skills of second-grade elementary school students. ABSTRAK Keterampilan menulis siswa kelas II Sekolah Dasar Negeri 4 Made Lamongan masih tergolong rendah, terlihat dari sekitar 60% siswa yang belum mencapai Kriteria Ketuntasan Minimal, terutama pada kemampuan menyusun kalimat sederhana dan mengembangkan kosakata. Pembelajaran Bahasa Indonesia yang masih didominasi metode ceramah tanpa variasi media menjadi salah satu penyebab rendahnya keterlibatan siswa. Penelitian ini bertujuan menghasilkan media game edukasi “Petualangan Kata” berbasis Word Search Maker yang valid, praktis, dan efektif untuk meningkatkan keterampilan menulis siswa kelas II SD. Penelitian menggunakan metode Research and Development (R&D) dengan model pengembangan ADDIE (Analysis, Design, Development, Implementation, Evaluation) serta desain eksperimen Control Group Pretest-Posttest. Subjek penelitian adalah 40 siswa kelas II SD Negeri 4 Made, terdiri atas kelas II A sebagai kelompok eksperimen dan kelas II B sebagai kelompok kontrol. Hasil penelitian menunjukkan media dinyatakan sangat valid dengan skor rata-rata ahli materi 3,76, ahli media 3,84, dan ahli desain 3,82 dari skor maksimal 4,00. Tingkat kepraktisan media juga berada pada kategori sangat baik, dengan skor respons siswa 3,75 pada uji coba kelompok kecil dan 3,81 pada uji coba kelompok besar. Hasil uji-t memperoleh nilai signifikansi 0,000 (< 0,05) yang menunjukkan perbedaan signifikan antara kelas eksperimen dan kelas kontrol, sementara uji N-Gain Score menunjukkan peningkatan sebesar 73,66% pada kelas eksperimen dengan kategori tinggi. Simpulan penelitian ini adalah media game edukasi “Petualangan Kata” berbasis Word Search Maker valid, praktis, dan efektif digunakan untuk meningkatkan keterampilan menulis siswa kelas II Sekolah Dasar.
The developed system successfully performs all major functions, including managing drug, category, and supplier data; recording purchase and sales transactions; automatically updating inventory; providing notifications for minimum stock levels and medicines approaching their expiration dates; and printing transaction reports.
Phishing conducted in Swahili has become a persistent threat to the millions of Tanzanians who depend on mobile-money services, yet the detection tools in common use are built for English and transfer poorly to a language whose morphology, register, and transactional vocabulary differ sharply from it. This study makes three contributions. It establishes that classical machine learning, given features tuned to Tanzanian Swahili, separates phishing from legitimate messages at near-ceiling accuracy, and that a deep-learning comparator adds nothing of operational consequence. It documents the compact lexical signature on which that separation rests, built from direct imperatives, money terms, and mobile-operator names. And it shows that lexical urgency, treated as a hallmark of phishing throughout the English-language literature, carries almost no discriminating signal in this language, a caution against porting feature assumptions across languages unexamined. The evidence comes from a corpus of 2,408 Tanzanian short messages, 1,377 of them real SMS drawn from the BongoSCAM collection, on which three classical classifiers and a convolutional neural network were compared under five-fold stratified cross-validation and four ablation experiments. The linear support vector machine and the random forest each returned a mean F1-score of 0.9983 (± 0.0016) and the convolutional network 0.9989 (± 0.0014), a difference smaller than one standard deviation. Performance held across every ablation, indicating that the signal is linguistic rather than an artefact of data construction. Classical models therefore offer an accurate and computationally frugal basis for protecting Swahili-speaking users, provided the gap between balanced-corpus evaluation and the low phishing prevalence of live traffic is managed by pairing the classifier with human review.
A multimodal long-term forecasting framework that integrates frequency-aware signal decomposition with semantic-enhanced representation learning and provides a modular and interpretable architecture combining frequency-aware and semantic-aware processing for intelligent system management is proposed.
Learning to read is a process and milestone with far-reaching implications for education, vocation, and health. Most models and empirical studies of reading development, however, focus on school entry and often limit potential influences to children's oral language and print-based skills. In contrast, a smaller corpus of behavioral, genetic, environmental, and neuroimaging research strongly suggests that reading development begins far earlier, in utero. This article first reviews major theoretical frameworks of reading development and synthesizes studies demonstrating that lower-order oral language and cognitive skills necessary for higher-order reading skills (e.g., reading comprehension) begin emerging during the perinatal period. It then characterizes the development of the reading brain, starting with regions involved in proficient reading and proceeding to neuroimaging work suggesting that the perinatal brain may already be equipped with a neural scaffold that supports reading development. Although brain scans are not suitable for identifying individual children at risk, they can inform accurate developmental, multifactorial models of reading that, in turn, can better guide preventative educational practices.
This work constructs KorMMP, a benchmark keeping real regulator-sourced scam audio and real benign speech but decorrelating transcript from label, and MiLTL, an on-device detector built on affective and neutrosophic channels, including a cross-modal contradiction signal formulated to weigh lexical warmth against vocal coldness.
Averaging repeated answers removes only the smaller, random component; the larger, systematic one persists and requires calibration against reference data before clinical use can be considered.
Experimental results validate the feasibility of transferring knowledge from large models under low-computational-power constraints and provide a new technical pathway and engineering reference for recognising anomalies at the edge of intelligent connected vehicles.
Data Management
What if pathology foundation models could do more with less? GigaPath-Flash and GigaTIME-Flash cut computational demands while maintaining strong performance, opening the door to larger studies and broader exploration. The post GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models appeared first on Microsoft Research.
