An Efficient Method for Immortalizing Mouse Embryonic Fibroblasts by CRISPR-mediated Deletion of the Tp53 Gene by Srisathya Srinivasan, Hsin-Yi Ho

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Bacanora and Sotol: So Far, So Close by Alfonso A. Gardea, Lloyd T. Findley, J. Antonio Orozco-Avitia, Noemí Bañuelos, Martín Esqueda, Travis H. Huxman

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A Detection Method Against Load Redistribution Attacks in the Interdependence of the Natural Gas Network and Power System Based on Entropy by Yaoying Wang

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Homeowner Detection of and Recommendations for Mitigating Redbay Ambrosia Beetle – Laurel Wilt Disease on Redbay and Avocado Trees in the Home Landscape by Jonathan H. Crane, Jason A. Smith

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Detection of focal lesions in the clot section with negative bone marrow aspirate and trephine biopsy—A series of 5 cases by Vandana Bhatti, Naveen Kakkar

“…Granulomatous infiltration was detected in 3 patients, and lymphomatous infiltration was detected in 2 patients in the clot section, whereas bone marrow aspirate and trephine biopsy were negative for any focal lesion in all 5 cases. …”
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Early detection of myocarditis caused by immune checkpoint inhibitor therapy with nivolumab and ipilimumab for advanced recurrent renal cell carcinoma by Maki Todo, Yodo Gatate, Shintaro Nakano, Go Kaneko, Masayuki Hagiwara, Takayuki Takahashi, Yuta Umezawa, Genji Ueda, Shiho Ishikawa, Yoshinori Makino, Masafumi Oyama, Suguru Shirotake

“…Myocarditis due to this therapy was detected in 5 of the 86 patients (5.8%) assessed using the European Society of Cardiology 2022 guidelines. …”
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Applying Focal Therapy to Lesions Detected via Magnetic Resonance Imaging: Delivering Cancer Ablation Beyond the Visibility Phenomenon by Clement Orczyk, Teresa Marsden, Francesco Giganti, Joseph M. Norris, Santosh Waigankar, Louise Dickinson, Shonit Punwani, Alex Kirkham, Alex Freeman, Aiman Haider, Caroline M. Moore, Arnauld Villers, Clare Allen, Mark Emberton

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Fire Detection Design Based on Gas Leakage Accompanied by fire Location Point Using ESP32 Based on IoT by Nanda Wibowo, Hilman Zarory, Dian Mursyitah, Aulia Ullah

“…Type B fires are fires that occur due to the burning of fuel in the form of gas, this type of fire occurs quite often where in DKI Jakarta this type of fire occurs in up to 180 cases and one of the causes of this fire is due to LPG gas leaks then at this time the fire extinguisher fire only has 1 method to find the location of the fire, therefore in this research a tool was created that can detect gas leaks and fires which can send danger warning messages to users, namely building owners and firefighters via the telegram application, from research carried out by the tool created to successfully detect the presence of gas leaks when the PPM value of LPG gas exceeds 100 PPM as well as fires when the presence of fire is detected, the carbon dioxide value in smoke exceeds 100 PPM, and also high temperatures, the tool will identify dangerous conditions and send a danger warning message to the user along with the coordinates and Google Maps link for the location of the equipment when a fire occurs.…”
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A Novel Design of MSM Photodetector and the Investigation of Two-Top Contacts Spacing Effects on Detection Speed and Transient Response by Savarimuthu Robinson, Yunjian Jia

“…The shorter the distance between the two upper detector electrodes, called the empty area, the faster the detection speed increases, and the total light current decreases due to the reduction of the light flux descending on the surface.…”
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DÉTENTION PRÉVENTIVE ET SURPOPULATION CARCÉRALE AU MAROC: UNE INADÉQUATION À LA RECHERCHE D’UNE RÉSOLUTION by Mohamed Jaouhar

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Comparison between detection power of MBT STAR-Carba test and KBM CIM Tris II for carbapenemase-producing bacteria by Komatsu Shoko, Fujinaga Chinami, Nakanishi Noriko

“…The rapid detection of carbapenemase-producing bacteria is clinically important for selecting appropriate antimicrobial therapy. …”
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Advanced artificial intelligence with federated learning framework for privacy-preserving cyberthreat detection in IoT-assisted sustainable smart cities by Mahmoud Ragab, Ehab Bahaudien Ashary, Bandar M. Alghamdi, Rania Aboalela, Naif Alsaadi, Louai A. Maghrabi, Khalid H. Allehaibi

“…The AAIFLF-PPCD approach aims to ensure robust and scalable cyberthreat detection while preserving the privacy of IoT users in smart cities. …”
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Light-YOLO: a lightweight detection algorithm based on multi-scale feature enhancement for infrared small ship target by Ji Tang, Xiao-Min Hu, Sang-Woon Jeon, Wei-Neng Chen

Subjects: “…Infrared small target detection…”
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A Comprehensive Approach to Intrusion Detection in IoT Environments Using Hybrid Feature Selection and Multi-Stage Classification Techniques by G. Logeswari, J. Deepika Roselind, K. Tamilarasi, V. Nivethitha

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Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach by Shaikh Afnan Birahim, Avijit Paul, Fahmida Rahman, Yamina Islam, Tonmoy Roy, Mohammad Asif Hasan, Fariha Haque, Muhammad E. H. Chowdhury

Subjects: “…Intrusion detection system…”
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Detection of serum composition in pediatric inflammatory multisystem syndrome associated with SARS-CoV-2 and the response for the treatment by FTIR by Joanna Depciuch, Izabela Sieminska, Pawel Jakubczyk, Bartosz Klebowski, Katarzyna Ptak, Izabela Szymońska, Przemko Kwinta, Maciej Siedlar, Jan Jakub Kęsik, Magdalena Parlinska-Wojtan, Jarek Baran

“…The difference in the chemical compositions of sera from the control group and the children after the treatment was detected in 54%, indicating that the treatment was effective. …”
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Development of Hybrid Intrusion Detection System Leveraging Ensemble Stacked Feature Selectors and Learning Classifiers to Mitigate the DoS Attacks by P. Mamatha, S. Balaji, S. Sai Anuraghav

“…In recent times, intrusion detection systems (IDS) have developed a vital part in ensuring security against these growing attacks. …”
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Performance and limitations of linkage-disequilibrium-based methods for inferring the genomic landscape of recombination and detecting hotspots: a simulation study by Raynaud, Marie, Gagnaire, Pierre-Alexandre, Galtier, Nicolas

“…We report reasonably good correlations between simulated and inferred landscapes, but point to limitations when it comes to detecting recombination hotspots. False positive and false negative hotspots considerably confound fine-scale patterns of inferred recombination under a wide range of conditions, particularly when Ne is small and the mutation/recombination rate ratio is low, to the extent that maps inferred from populations sharing the same recombination landscape appear uncorrelated. …”
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Author Correction: Integrating fault detection and classification in microgrids using supervised machine learning considering fault resistance uncertainty by Morteza Barkhi, Javad Pourhossein, Seyed Ali Hosseini

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A deep learning model based on RGB and hyperspectral images for efficiently detecting tea green leafhopper damage symptoms by Yang Xu, Yilin Mao, He Li, Jiazhi Shen, Xiuxiu Xu, Shuangshuang Wang, Shah Zaman, Zhaotang Ding, Yu Wang

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