Compact Laser-Induced Fluorescence Detector with Adjustable Laser Focal Spot for Multiple Purposes by Zihe Xu, Xi Chen, Fangwu Liu

“…The influence of the excitation power on the detection limit was studied through experiments, and the configuration results for LED/LD as light sources and 487/450 nm wavelengths were compared and optimized. …”
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Enhanced high-sensitivity multi-layer neutron detector based on LiF:ZnS(Ag) scintillator by Ilan Cohen Zada, Alon Osovizky, Itzhak Orion

“…Our experiments demonstrate a significant improvement in detection efficiency compared to the single-layer setup. …”
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PATHOLOGICAL SIGNS OF EPILEPTIC AND NON-EPILEPTIC ORIGIN DETECTED IN AWAKE/SLEEP EEG PATTERNS DURING OUTPATIENT AND INPATIENT MONITORING: PROBLEMS OF INTERPRETATION by V. V. Gnezditskiy, O. S. Korepina, V. A. Karlov, G. B. Novoselova

“…Secondly, a loss of function can be caused by a continuous discharge activity of brain neurons. …”
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Improved Path Planning and Controller Design Based on PRM by Shengjin Chen, Guangyong Yang, Guanghai Cui, Shang Yi, Lihuang Wu

“…By dynamically adjusting the PRM sampling points, the success rate of path detection is improved. The Improved PRM (IPRM) algorithm demonstrates better performance in terms of shorter path generation compared to the original PRM, RRT* and Bi-RRT algorithms. …”
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An innovative and mass-sensitive quartz tuning fork (QTF) biosensor for GFAP detection: A novel approach for traumatic brain injury diagnosis by Burcu Özcan, İnci Uludağ Anıl, Mehmet Altay Ünal, Fikret Arı, Mustafa Kemal Sezgintürk, Sibel Ayşıl Özkan

“…This biosensor is designed to facilitate the highly sensitive and selective detection of GFAP in human serum. In contrast to conventional neuroimaging methods, which are resource-intensive and frequently inaccessible in emergency situations, this innovative biosensor offers a portable, cost-effective, and efficient alternative for rapid GFAP measurement. …”
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Revealing Potential Initial Mass Function Variations with Metallicity: JWST Observations of Young Open Clusters in a Low-metallicity Environment by Chikako Yasui, Natsuko Izumi, Masao Saito, Ryan M. Lau, Naoto Kobayashi, Michael E. Ressler

“…A total of 52 and 91 sources were extracted in mass- A _V -limited samples in the two clusters, from which initial mass functions (IMFs) were derived by model-fitting the F200W band luminosity function, resulting in IMF peak masses (hereafter M _C ) $\mathrm{log}{M}_{C}/{M}_{\odot }\simeq -1.5\pm 0.5$ for both clusters. …”
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MTCDNet: Multimodal Feature Fusion-Based Tree Crown Detection Network Using UAV-Acquired Optical Imagery and LiDAR Data by Heng Zhang, Can Yang, Xijian Fan

“…Accurate detection of individual tree crowns is a critical prerequisite for precisely extracting forest structural parameters, which is vital for forestry resources monitoring. …”
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The NASA Exoplanet Archive and Exoplanet Follow-up Observing Program: Data, Tools, and Usage by Jessie L. Christiansen, Douglas L. McElroy, Marcy Harbut, David R. Ciardi, Megan Crane, John Good, Kevin K. Hardegree-Ullman, Aurora Y. Kesseli, Michael B. Lund, Meca Lynn, Ananda Muthiar, Ricky Nilsson, Toba Oluyide, Michael Papin, Amalia Rivera, Melanie Swain, Nicholas D. Susemiehl, Raymond Tam, Julian van Eyken, Charles Beichman

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AN EFFECTIVE APPROACH TO FACE RECOGNITION WITH ARTIFICIAL INTELLIGENCE AND THE INTERNET OF THINGS USING NVIDIA JETSON NANO by Ngoc Giau Pham, Nhien Loc Bui, Quang Hien Tran, Le Thanh Hai Tong, Hong Ngoc Tran

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ENHANCEMENT OF SENSOR PANEL TACTILE TOUCH INTERFACE by Oleksandr Karpin, Zinovii Liubun, Vasyl Mandziy, Oleh Tereshchuk, Nestor Hotsiy

“…The proposed classification algorithm exhibits satisfactory accuracy in identifying the two signals within a minimal timeframe and requires minimal computational resources. Therefore, it can be employed cost-effectively to enhance the functionality of touch panels. …”
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Research on intelligent identification of microscopic substances in shale scanning electron microscope images based on deep learning theory by Ruigang Zhang, Xiangru Chen, Xin Tang, Qiuqi Chen, Sen Guo, Cheng Liu, Zhengchao Guo, Yuerong Zhou, Xiaoyi Zhou

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The pipB Gene as Target for Development of Detection Method of Pathogenic Bacteria Salmonella typhi Using Real-time Polymerase Chain Reaction by Muktiningsih Nurjayadi, Gusti Angieta Putri, Ananda Indah Putri Sihombing, Puan Aqila Azizah, Anisa Fitriyanti, Royna Rahma Musie, Helzi Angelina, Grace, Agus Setiawan, Dandy Akbar Juliansyah, Jefferson Lynford Declan, Gladys Indira Putri, Siti Fatimah, Adinda Myra Amalia Putri, Vira Saamia, Irma Ratna Kartika, Fera Kurniadewi, Shyi-Tien Chen, Bassam Abomoelak, Hesham A. El Enshasy

“…It's necessary to develop a rapid and accurate detection of Salmonella typhi. The pipB gene of Salmonella typhi has the function of being an autophagia inhibitor in humans. …”
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Enhancing microseismic event detection with TransUNet: A deep learning approach for simultaneous pickings of P-wave and S-wave first arrivals by Kun Chen, Meng Li, Xiaolian Li, Guangzhi Cui, Jia Tian, JiaLe Li, RuoYao Mu, JunJie Zhu

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Dip‐Pen Nanolithography‐Based Fabrication of Meta‐Chemical Surface for Heavy Metal Detection: Role of Poly‐Methyl Methacrylate in Sensor Sensitivity by Rahma Okbi, Mohammed Alkrenawi, Krishna Kumar Yadav, Dror Shamir, Haya Kornweitz, Yael Peled, Moshe Zohar, Ariela Burg

“…The nanosize, the surface‐to‐volume ratio (18.6 and 23.1 μm−1 for DAN‐ and D‐PA‐based ink, respectively), and the binding strength between the ligand and the cation (2.21 and −21.37 kcal mol−1 for DAN‐ and D‐PA‐based ink, respectively) are found to be the source of their high sensitivity, with limit of detection values of 0.40 and 0.30 ppb for DAN and D‐PA, respectively. …”
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Reconstructed Phase Space-Based Damage Detection Using a Single Sensor for Beam-Like Structure Subjected to a Moving Mass by Zhenhua Nie, Tuan Ngo, Hongwei Ma

“…This paper presents a novel damage detection method based on the reconstructed phase space of vibration signals using a single sensor. …”
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ELISA-Based Crossmatching Allowing the Detection of Emerging Donor-Specific Anti-HLA Antibodies through the Use of Stored Donors’ Cell Lysates by G. Schlaf, K. Stöhr, A. Rothhoff, W. Altermann

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A High Selective and Sensitive Spectrophotometric Cholesterol Detection Using B-Cyclodextrin/Fe3O4 Composite as the Identification Agent by Vanya Dharmawan, Isnaini Rahmawati, Afiten Rahmin Sanjaya, Beti Ernawati Dewi, Endang Saepudin, Tribidasari A. Ivandini

“…The results showed that cholesterol concentration could be determined from the released amount of MB detected by UV-vis spectrometer. To enhance the sensitivity of signal responses of the sensors, BCD was functionalized with citrate before being deposited on Fe3O4 magnetic nanoparticles. …”
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Integrating smartwatch-based out-of-hospital cardiac arrest detection into resuscitation systems: a focus group study of community responder perspectives by Marijn Eversdijk, Babette J.W. van der Eerden, Dick L. Willems, Willem J. Kop, Mirela Habibović, Marieke A.R. Bak

“…Conclusion: This study identifies target topics that require attention in order to optimise community responders involvement in the implementation of smartwatch-based OHCA detection. Community responders indicated communication with the emergency dispatch centre, training with smartwatch-initiated scenarios and opt-in functionalities for responding to potential impactful situations as key factors to enhance the acceptability and feasibility. …”
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Multi-layer feature fusion and attention-enhanced YOLOv9 for rapid field detection of greenhouse blueberry maturity at long and short distances by Ziwei Pan, Lei Xu, Wanjin Zhao, Cong Fan, Xihao Zhang, Weihui Chen, Yonglin Shen, Nengcheng Chen

“…Given the dense growth of blueberry plants and small fruit size, detecting blueberry maturity at long distances poses significant challenges. …”
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The Capabilities of Optical and C-Band Radar Satellite Data to Detect and Understand Faba Bean Phenology over a 6-Year Period by Frédéric Baup, Rémy Fieuzal, Clément Battista, Herivanona Ramiakatrarivony, Louis Tournier, Serigne-Fallou Diarra, Serge Riazanoff, Frédéric Frappart

“…These double logistic functions are capable of reproducing the differences in phenological development observed between fields and years, providing a reference set of functions that can be used to monitor the phenological development of faba beans in real time. …”
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