Absolute purity determination of an organic fluorine pharmaceutical voriconazole via quantitative 19F NMR and method validation by Nahoko Uchiyama, Junko Hosoe, Kohei Kiyota, Takanori Komatsu, Naoki Sugimoto, Kyoko Ishizuki, Tatsuo Koide, Mika Murabayashi, Taeko Shinozaki, Yoshinori Fujimine, Katsuya Ofuji, Hitoshi Shimizu, Kazuhiro Fujita, Takashi Hasebe, Yumi Asai, Eri Ena, Yoshinobu Makino, Toru Miura, Yasuhiro Muto, Katsuo Asakura, Takako Suematsu, Hitomi Abe, Ai Kohama, Takashi Goto, Masu Yasuda, Tomohiko Ueda, Yukihiro Goda

“…The 19F NMR spectrum has a smaller number of signals than 1H NMR, therefore, quantitative 19F NMR (19F-qNMR) can replace quantitative 1H NMR (1H-qNMR) for the absolute quantitation of organic fluorine-bearing compounds. …”
Get full text

Optimized Ensemble Deep Learning for Real-Time Intrusion Detection on Resource-Constrained Raspberry Pi Devices by Muhammad Bisri Musthafa, Samsul Huda, Tuy Tan Nguyen, Yuta Kodera, Yasuyuki Nogami

“…The proposed system maintains high detection performance with accuracy of 97.3% across all test scenarios, while efficiently leveraging multi-core processing with peak CPU usage reaching 111.8%. …”
Get full text

An Intelligent Smart Dynamic Feature Analysis Based Approach by Utilizing Deep Learning to Improve the Breast Cancer Detection by Seong-O Shim, Lal Hussain, Eesa Alsolami, Monagi H. Alkinani

“…The model was also trained using Quantization aware training (QAT) to enable efficient deployment on low-resource devices without significant performance degradation. …”
Get full text

A survey of model compression techniques: past, present, and future by Defu Liu, Yixiao Zhu, Zhe Liu, Yi Liu, Changlin Han, Jinkai Tian, Ruihao Li, Wei Yi

“…To meet the urgent demand for efficient deployment, we delve into several compression methods—such as quantization, pruning, low-rank decomposition, and knowledge distillation—emphasizing their fundamental principles, recent advancements, and innovative strategies. …”
Get full text

GMT: Gzip-based Memory-efficient Time-series classification by Sungmin Lee, Kichang Lee, JaeYeon Park, JeongGil Ko

“…We introduce GMT, a memory-efficient parameter-free classifier that uses gzip compressor and k-nearest neighbors (kNN) for classifying multi-channel time-series data. …”
Get full text

An Efficient Architecture for Edge AI Federated Learning With Homomorphic Encryption by Dadmehr Rahbari, Masoud Daneshtalab, Maksim Jenihhin

“…With the rapid growth of edge AI applications, there is an increasing demand for federated learning (FL) frameworks that are both efficient and privacy-preserving. This work introduces a robust approach that leverages homomorphic encryption (HE) to ensure data confidentiality during decentralized training. …”
Get full text

Energy-Efficient Deep Learning for Cloud Detection Onboard Nanosatellite by Imane Khalil, Amina Daghouri, Mohammed Alae Chanoui, Zouhair Guennoun, Adnane Addaim

“…The customized SegNet architecture, tailored with minimal kernels and layers, achieved an accuracy of 93.50%, effectively balancing performance and computational efficiency. Quantization further optimized energy consumption, achieving a reduction of 82.2% at 280 MHz. …”
Get full text

Efficient Real-Time Isotope Identification on SoC FPGA by Katherine Guerrero-Morejón, José María Hinojo-Montero, Jorge Jiménez-Sánchez, Cristian Rocha-Jácome, Ramón González-Carvajal, Fernando Muñoz-Chavero

“…Efficient real-time isotope identification is a critical challenge in nuclear spectroscopy, with important applications such as radiation monitoring, nuclear waste management, and medical imaging. …”
Get full text

Enhancing Physician-Patient Communication in Oncology Using GPT-4 Through Simplified Radiology Reports: Multicenter Quantitative Study by Xiongwen Yang, Yi Xiao, Di Liu, Huiyou Shi, Huiyin Deng, Jian Huang, Yun Zhang, Dan Liu, Maoli Liang, Xing Jin, Yongpan Sun, Jing Yao, XiaoJiang Zhou, Wankai Guo, Yang He, Weijuan Tang, Chuan Xu

Get full text

Quantitative Magnetic Resonance Imaging of Enzyme Activity on the Cell Surface: In Vitro and In Vivo Monitoring of ADP-Ribosyltransferase 2 on T Cells by Peter Bannas, Oliver Graumann, Philipp Balcerak, Kersten Peldschus, Michael Gerhard Kaul, Heinrich Hohenberg, Friedrich Haag, Gerhard Adam, Harald Ittrich, Friedrich Koch-Nolte

“…Etheno-ADP-ribosylated proteins were detected with monoclonal antibody 1G4 and superparamagnetic iron oxide conjugated secondary antibodies (Ab-SPIO). Labeling efficiency was determined with R2 and R2* relaxometry on a clinical 3.0 T scanner. …”
Get full text

Quantitative Analysis of Basalt Damage Under Microwave Radiation Utilizing Uniaxial Compression and Nuclear Magnetic Resonance (NMR) Experiments by Tubing Yin, Jihao Wang, Jiexin Ma, Jianfei Lu, Hao Dai

Get full text

A Review of Quantitative Characterization of Phase Interface Dynamics and Optimization of Heat Transfer Modeling in Direct Contact Heat Transfer by Mingjian Wang, Jianxin Xu, Shibo Wang, Hua Wang

“…Direct contact heat transfer as an efficient heat recovery method. It is used in the fields of waste heat recovery, nuclear engineering, desalination, and metallurgy. …”
Get full text

A Fully Validated LC-MS Quantitation Method for Psychoactive Compounds Found in Native South American Plant Species by Jonathan Tran, Aaron C. Elkins, Simone Vassiliadis, Noel O. I. Cogan, Simone J. Rochfort

“…Validation parameters were established; linearity (<i>R</i>² = 0.988–0.999), limit of detection (LOD) (0.06–0.11 ng/mL), limit of quantitation (LOQ) (0.18–0.34 ng/mL), accuracy, precision, extraction efficiency (>98%), recovery (74.1–111.6%), and matrix effect (70.6–109%) were all evaluated. …”
Get full text

Leveraging quantitative structure-activity relationships to design and optimize wall material formulations for antioxidant encapsulation via spray drying by Hugo M. Lisboa, Alexandre Lúcio, Rogério Andrade, Ana Maria Sarinho, Janaina Lima, Leonardo Batista, Maria Eduarda Costa, Amanda Nascimento, Matheus B. Pasquali

“…To address this, the research integrates quantitative structure–activity relationship (QSAR) modeling with experimental validation to design wall material formulations rationally. …”
Get full text

CRITERIA AND INDICES OF EFFICIENCY OF MILITARY AND PROFESSIONAL TRAINING OF OFFICERS’ CADRE by V. F. Tamelo, I. V. Kostko

Get full text

Clinical application research on the quantitative measurement of supraspinatus muscle fatty degeneration based on PACS system to improve preoperative assessment by Sitong Zhang, Yan Huang, Jian Hu, Shiao Li, Beijie Qi, Wu Wang, Menghong Cao, Qian Wang

“…Future integration of automated tools may further optimize clinical efficiency.…”
Get full text

Quantitative analysis and clinical determinants of orthodontically induced root resorption using automated tooth segmentation from CBCT imaging by Jiaqi Lin, Qianhan Zheng, Yongjia Wu, Mengqi Zhou, Jiahao Chen, Xiaozhe Wang, Ting Kang, Weifang Zhang, Xuepeng Chen

Get full text

Impacts of the COVID-19 Pandemic on the CODE ST-Segment Elevation Myocardial Infarction Program: A Quantitative and Qualitative Analysis by Eka Ginanjar, Arif Mansjoer, Lusiani Rusdi, Rizky Ramadantie, Hadiki Habib, Lies Dina Liastuti, Sally Aman Nasution, Idrus Alwi, Abdul Rashid

“…Methods: This was a mixed-methods study using quantitative and qualitative analyses. It was conducted at the Dr. …”
Get full text

Efficiency of Visually-Guided Discovery-Learning System for High School by Huynh Cam Ngoc Thi, Nguyen Hong, Vinh Tran Phuoc

“…This research surveys the input and output of the system, and analyses the factors affecting them, to constitute the mathematically quantitative model evaluating the efficiency of the system.…”
Get full text

Digital twin integration in metalworking: enhancing efficiency and predictive maintenance by William Villegas-Ch, Rommel Gutierrez, Jaime Govea

“…Although their potential has been widely acknowledged, many companies face significant challenges in implementation, particularly in terms of operational efficiency, predictive maintenance, and economic feasibility. …”
Get full text