Supercell-enhanced multimodal plasmonic sensor for high-fidelity antigen detection via refractive index modulation by MohammadAli Shokrzadeh Moghtader, Hamid Heidarzadeh, Ali Khodaie

“…The sensor exhibits three resonance modes within the 1000–3000 nm wavelength range, analyzed using the finite-difference time-domain (FDTD) method. Through meticulous optimization of the sensor’s geometrical structure, we achieve a high figure of merit (FOM) and sensitivity. …”
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Metric learning unveiling disparities: A novel approach to recognize false trigger images in wildlife monitoring by Rui Zhu, Enting Zhao, Chunhe Hu, Jiangjian Xie, Junguo Zhang, Huijian Hu

“…This study proposes a metric learning-based method for false-triggered image recognition. By integrating K-means clustering for sample selection and a triplet loss function for model optimization, the approach effectively distinguishes subtle feature differences in false-triggered images. …”
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Elucidation of the Electrocatalytic Function of Composite Metal Carbides Co3W3C and Co3Mo3C with Oxygen Reduction and Oxygen Evolution Reactions by Ikki YANAGIMOTO, Masashi WADA, Satoko TAKASE, Toshiyuki TAKIZAWA, Youichi SHIMIZU

“…We have found that Co3W3C and Co3Mo3C composite metal carbides prepared by a wet method have high bifunctional electrode performance, but the mechanism of action has not been elucidated. …”
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Application of the Analytical Hierarchy Process in the management of private ambulance care systems in three selected European countries: a strategic decision-making framework by Jalal Rezaei, Roya Azouji, Mina Azouji, Hamzeh Ghorbani, Hamzeh Ghorbani

“…The study highlights country-specific challenges and regulatory differences and provides actionable recommendations for optimizing resource allocation, improving service quality, and ensuring compliance. …”
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Facial emotion based smartphone addiction detection and prevention using deep learning and video based learning by C. Joseph, P. Uma Maheswari

“…Additionally, face emotion detection algorithms tuned with MnasNet-Teaching Learning Based Optimization (TLBO) and Convolution Neural Networks (CNN)-Cuckoo Search Optimization (CSO) are employed for accurate emotion recognition. …”
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Study of a High-Yield Cellulase System Created by Heavy-Ion Irradiation-Induced Mutagenesis of Aspergillus niger and Mixed Fermentation with Trichoderma reesei. by Shu-Yang Wang, Bo-Ling Jiang, Xiang Zhou, Ji-Hong Chen, Wen-Jian Li, Jing Liu, Wei Hu, Guo-Qing Xiao, Miao-Yin Dong, Yu-Chen Wang

“…A mixed culture system was successfully optimized, and the best ratio of T. reesei to A. niger was 5:1 for 96 h with simultaneous inoculation. …”
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Evaluating spatiotemporal variations in agricultural production efficiency and total factor productivity change index across China by CHANG Siyuan, SHANG Songhao

“…【Objective】Water shortage is a pressing issue in many regions of China, where significant differences exist in agricultural production conditions and efficiency among provinces, municipalities, and autonomous regions. …”
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Evaluation of microbial and oxidative changes of 100% Iberian Spanish salchichón in contact with a composite olive-leaf-extract food film and vacuum-packaged by Mónica Sánchez-Gutiérrez, Arturo Rivera-Ruiz, Laura Sánchez-Fernández, Alejandro Rodríguez, Elena Carrasco

“…The antimicrobial activity on lactic acid, aerobic mesophilic bacteria and Enterobacteriaceae was studied, as well as the evolution of lipid oxidation through the TBARS method. Significant differences were found between control and test sample during the evaluation of antimicrobial (aerobic mesophilic bacteria) and antioxidant activity at 25 °C. …”
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A TMR Sensor Array for Non-Invasive Current Measurement in Three-Phase Cable and Error Analysis by Ruixi Luo, Hui He, Qiang Shi, Junyi Cai, Ziyang Ye, Xiang Zhang

“…The current reconstruction method was introduced by minimizing the difference between the measured and calculated magnetic flux density using a stochastic optimization algorithm. …”
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Application of microfluidic technology and nanoencapsulation to amplify the antibacterial activity of clindamycin against a food born pathogen by Zinab Moradi Alvand, Masoud Rahimi, Liana Parseghian, Fatemeh Haji, Hasan Rafati

“…The antibacterial activity of MEO/C NE and bulk compounds against E. coli bacterium was compared using a conventional method and a microfluidic chip. A significant difference in the antibacterial activity was observed by employing a microfluidic chip as compared to the conventional technique, probably due to a high contact surface area between the nanodroplets and bacterial membrane. …”
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A novel principle of frequency characteristics-based current differential protection for outgoing lines of wind farms by Bingran Wang, Zengping Wang

“…The composition of the frequency band for energy calculation is then optimized based on the characteristics of the wind farm outgoing line. …”
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Social Representations of Formal Volunteers and Spontaneous Volunteers in Socio-Natural Disaster Risk Management Contexts by Matías Peña-Garay, José Sandoval-Díaz, David Cuadra-Martínez

“…Finally, sustained coordination is proposed among institutions involved in risk management, formal volunteers, and spontaneous volunteers to optimize human resource management in emergencies.…”
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Evaluation of the Influence of Frequency of Milk Collection and Milking Dayshift on the Microbiological Quality of Raw Milk by Lucía Reguillo, Manuela Hernández, Elisabeth Barrientos, Fernando Perez-Rodriguez, Antonio Valero

“…MAB counts were determined by flow cytometry (BactoScan) and PSY counts by the plate counting agar method. An univariate statistical analysis was performed to find out significant differences among the studied factors. …”
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CT-free kidney single-photon emission computed tomography for glomerular filtration rate by Kyounghyoun Kwon, Dongkyu Oh, Ji Hye Kim, Jihyung Yoo, Won Woo Lee

“…The model employed a residual U-Net with edge attention and was optimized using windowing-maximum normalization and a generalized Dice similarity loss function. …”
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Sensitive and specific peak detection for SELDI-TOF mass spectrometry using a wavelet/neural-network based approach. by Vincent A Emanuele, Gitika Panicker, Brian M Gurbaxani, Jin-Mann S Lin, Elizabeth R Unger

“…The method shows promise in addressing the ongoing SELDI reproducibility issues.…”
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ANALYSIS OF INTERPRETATION ABILITY AND MATHEMATICAL DISPOSITION BASED ON STUDENTS' LEARNING MOTIVATION by Silmi Nursyahidah, Supratman Supratman, Sinta Verawati Dewi

“…This study, conducted at SMP Negeri 1 Kadugede in class VII K, found characteristic differences based on motivation levels. Students with high motivation demonstrated enthusiasm, resilience, and optimism in mathematics, as well as comprehensive understanding, good representational abilities, and sound conclusion drawing, although their written answers were sometimes inaccurate. …”
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Deep learning-based sex estimation of 3D hyoid bone models in a Croatian population using adapted PointNet++ network by Ivan Jerković, Željana Bašić, Ivana Kružić

“…Despite the modest sample size, the method effectively captured sex differences, providing a data-efficient and interpretable tool. …”
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Research on the Force Control System of Rotary Crusher Loading Testbed by Ge Li, Qingkai Wang, Gang Shen

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Ultra-sensitive surface plasmon resonance sensor integrating MXene (Ti3C2TX) and graphene for advanced carcinoembryonic antigen detection by Ali Khodaie, Hamid Heidarzadeh

“…The performance of the proposed sensor was evaluated using the finite difference time domain (FDTD) numerical method, focusing on key parameters such as sensitivity and figure of merit (FOM). …”
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Leveraging logit uncertainty for better knowledge distillation by Zhen Guo, Dong Wang, Qiang He, Pengzhou Zhang

“…We also introduce adaptive dynamic temperature factors to optimize the distillation process. By combining these techniques, we enhance knowledge distillation results and facilitate effective knowledge transfer between teacher and student models, even when architectural differences exist. …”
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