İktisadi Rapor 1952

Türkiye Ticaret Odaları. Sanayi Odaları ve Ticaret Borsaları Birliği Kuruluş kanunu ile bu teşekküle verilen görevler arasında Türkiye’nin İktisadi durumu hakkında raporlar yapmak da vardır. Birlik Yönetim Kurulu bu kanunî vazifeyi yerine getirmek üzere, alelâde olarak toplanmış olan Ekim 1952 Genel Kuruluna bu raporu takdim etmektedir

Bir Enerji Dönüştürücü Mekanizma

Bu buluş, üzerine bir kuvvet uygulandığında hareket eden ve söz konusu hareket sonucunda piezoelektrik eleman ile hareket enerjisini elektrik enerjisine dönüştüren bir enerji dönüştürücü mekanizma (1) ile ilgilidir

Multilingual Domain Adaptation for Speech Recognition Using LLMs

Siemens Healthineers AGWe present a practical pipeline for multilingual domain adaptation in automatic speech recognition (ASR) that combines the Whisper model with large language models (LLMs). Using Aya-23-8B, Common Voice transcripts in 22 languages are automatically classified into the Law and Healthcare domains, producing high-quality domain labels at a fraction of the manual cost. These labels drive parameter-efficient (LoRA) fine-tuning of Whisper and deliver consistent relative Word Error Rate (WER) reductions of up to 14.3% for languages that contribute at least 800 in-domain utterances. A data-volume analysis reveals a clear breakpoint: gains become reliably large once that 800-utterance threshold is crossed, while monolingual tuning still rescues performance in truly low-resource settings. The workflow therefore shifts the key success factor from expensive hand labelling to scalable data acquisition, and can be replicated in new domains with minimal human intervention. © 2025 Elsevier B.V., All rights reserved

Improved Approximation via Hybrid Shepard-Lagrange Operators: Linear and Nonlinear Perspectives

This paper introduces a hybrid operator that combines Shepard operators with Lagrange polynomials, proving that the new operator exhibits superior approximation properties compared to the classical Shepard operator. In the linear case, our approach advances known results in the literature, providing a more effective framework for approximation. Building on this foundation, the method is also extended to nonlinear scenarios by employing max-product operations, demonstrating that the nonlinear operator achieves even better approximation characteristics than its linear counterpart. The theoretical findings are validated through numerical computations and graphical representations, strongly supporting the effectiveness of the hybrid operator in both linear and nonlinear contexts

Ethical Barriers to Artificial Intelligence Adoption in Vaccine Distribution: A Systematic Scoping Review

The rapid advancement of AI has opened new avenues for improving healthcare systems, particularly in a pandemic response. AI technologies can potentially affect the equitable distribution of vaccines. However, there are ethical concerns such as privacy, governance, data security, acceptance, access, affordability, prioritization among others that arise from such implementation. This article synthesizes literature to identify the ethical implications of utilizing AI in vaccine distribution, planning and scheduling during a pandemic, with a focus on ensuring equitable access to vaccines in LMICs using a combination of 20 search string-words. The Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guideline for scoping review was used. A full-text open access peer review journals in English addressing the research interest from PubMed, ScienceDirect, and the Directory of Open Access Journals (DOAJ) was included in the study. These search engines were chosen based on their comprehensive coverage, advanced search capabilities, reputation for academic quality, and efficient retrieval of relevant and diverse literature. Data from each search engine was screened for inclusion criteria and charted from 2019 to 2023 to cover the COVID-19 pandemic period. Bibliometric analysis was done on the Web of Science search engine using R-studio and Biblioshiny to identify trends. Out of 1,555 records, 358 articles relevant to the search query were found; after careful consideration, 28 articles met the inclusion criteria for analysis. Thematic analysis was done to identify the ethical considerations associated with using AI in planning and scheduling vaccine distribution, particularly in the context of a pandemic. The article emphasized the importance of integrating lessons learned from the COVID-19 pandemic into future actions to strengthen a fair and equitable pandemic preparedness plan ensuring the ethical compliance of AI-support system responses in LMICs during pandemics. © 2025 Elsevier B.V., All rights reserved