This study aims to determine and analyze the influence of Price and Promotion—both individually and simultaneously—on purchasing decisions for Morris Garage (MG) cars at the MG Manado dealership (PT Sinar Galesong Group). This research employs an associative quantitative approach using a survey method. The study popula...
Reynaldy Caesar Kampey, V. Supit, A. Kumaat· Global Leadership Organizati...· 0 citations
This study aimed to determine the effect of resistance band training on the sickle kick ability of students at PSHT Rayon Benai, Musi Rawas Regency. This research employed an experimental method using a two-group pretest-posttest design. The participants consisted of 20 students who were divided into an experimental gr...
Feri Ramadhani, Wawan Syafutra, Muhammad Suhdy· PENJAGA : Pendidikan Jasmani...· 0 citations
It is suggested that the main downstream cost of agent-written changes lies in inherited test failures rather than a measurable maintenance disadvantage in code that preserves earlier tested behavior, and coding agents should preserve earlier behavior across changes.
Ru-Wei Pan, John Zhang, Lin-Hao Wu et al.· 0 citations
PURPOSE
To investigate structural and microvascular changes in macular telangiectasia (MacTel) type 2 using optical coherence tomography (OCT) and OCT-angiography (OCTA) derived vascular parameters, and to examine their relationship in the macula.
METHODS
A retrospective cross-sectional study included 27 MacTel type...
M. Bilgeç, M. Karaatlı, Onur Özalp et al.· Retina· 0 citations
BACKGROUND
Deep learning-based aneurysm segmentation using 3D time-of-flight magnetic resonance angiography (TOF-MRA) offers promising non-invasive screening, but its accuracy and generalizability remain limited.
PURPOSE
To develop a deep learning model for intracranial aneurysm detection and segmentation on MRA, and...
Xiao-Rong Chen, Jiang-Feng Pan, Jia-Qi Xu et al.· Journal of Cardiovascular Ma...· 0 citations
Augmented reality (AR) changes how users perceive and attend to their surroundings. Prior work suggests AR can reduce attention to the physical world, but it remains unclear whether this holds in environments dense with both virtual and physical objects, and which factors most affect object recall. This study examines...
Sangita Kunapuli, Shane Dirksen, Radha Kumaran et al.· 0 citations
Long-horizon coding requires agents to maintain an evolving view of the project they are changing: what problem is currently being solved, what has already been learned or modified, which other artifacts may be affected, and what work remains unresolved. When this information is scattered across a growing interaction h...
Chuan Zou, Yu-Jun Zhou, Xiao-Nan Luo et al.· 0 citations
Evaluation has been central to advances in AI, and it is equally critical to autonomous discovery. Yet scaling autonomous discovery to real-world engineering challenges faces a fundamental bottleneck: the cost of evaluating progress. In real settings, a single true evaluation, such as a full benchmark or serving trace,...
Shubham Agarwal, Akshat Gupta, M. Heddes et al.· 0 citations
Embedding models underpin modern job-candidate matching: resumes, job descriptions, and queries are encoded as dense vectors, and recommendations come from nearest-neighbor retrieval over that space. Any social bias in the embeddings therefore feeds directly into HR recommendations. We audit six multilingual sentence-e...
System One models such as Jev change how software makes decisions by mapping open-ended semantic contexts into structured judgments that directly drive program execution. However, this paradigm introduces a new security risk, which we term Jev Program Decision Hijacking (JPDH): attacker-controlled contexts can redirect...
Yang Luo, Tian-Tian Ji, Zi-Feng Kang et al.· 0 citations
Coding agents use generated tests to decide whether a proposed patch satisfies an issue's requirements. A suite that fails on the buggy program and passes after applying the reference patch can still accept an incorrect patch or reject a correct patch. We introduce SWEPATCHTEST, a test-generation benchmark with 619 tas...
Hua Lu, Peng-Cheng Wang, Han-Yu Li et al.· 0 citations
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
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