Digitalized co-production of emergency response: ICT-enabled dispatch and coordination of volunteers at the emergency site by Sofie Pilemalm, Anna Follin, Erik Prytz

“…First priority requirements include geofencing alert and positioning, a joint application programming interface, receipt of alert, receipt if arrival at incident site, withdrawal of resources, chat functionality and the ability to alert in descending order within the geofenced areas to avoid alarm fatigue. As to coordination and dynamic resource allocation, e.g. built-in alert restrictions, ability to pre-select profiles and to dispatch based on competence/training, capacity and equipment would enable a more optimized response. …”
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A Clone Selection Based Real-Valued Negative Selection Algorithm by Ruirui Zhang, Xin Xiao

“…The main contributions lie in (1) introducing the clonal selection algorithm and randomly generating candidate detectors within the stratified limited ranges based on clustering centers of self set; generating big-radius candidate detectors first and making them cover space far from selves, which reduces the number of detectors; then generating small-radius candidate detectors and making them gradually cover boundary space between selves and non-selves, which reduces the number of holes; (2) distinguishing selves and dividing them into outlier selves, boundary selves, and internal selves, which can adapt to the interference of noise data from selves; (3) for anomaly detection, using mature detector set and boundary self set to test at the same time, which can effectively improve the detection rate and reduce the false alarm rate. Theoretical analysis and experimental results show that the algorithm has better time efficiency and detector generation quality according to classic negative selection algorithms.…”
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Real-Time Warning Model of Highway Engineering Construction Safety Based on Internet of Things by Haoran Song, Hao Yu, Dianliang Xiao, Yuexiang Li

“…The experimental comparison between the real-time early warning model and the traditional early warning model in this paper shows that the accuracy of the early warning model proposed in this paper is improved by nearly 5%, and the false alarm rate is reduced by nearly 4%.…”
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Cyclic Peak Extraction from a Spatial Likelihood Map for Multi-Array Multi-Target Bearing-Only Localization by Chuanxing Hu, Bo Zhang, Xishan Yang, Zhaokai Zhai, Dai Liu

“…Under conditions that clutter interference and missing of detection in direction-finding, the traditional method will produce false alarm targets and miss some targets. To address this issue, this paper draws on the idea of a spatial likelihood map which calculates the likelihood of target presence at each grid point within the observation area by partitioning the observation area into grids and utilizing bearing data from each array, yielding the distribution of targets in the observation area. …”
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Anomaly detection solutions: The dynamic loss approach in VAE for manufacturing and IoT environment by Praveen Vijai, Bagavathi Sivakumar P

“…While traditional anomaly detection approaches face limitations such as scalability issues, high false alarm rates, and reliance on skilled expertise, this study proposes a novel approach using a BiLSTM-Variational Autoencoder (BiLSTM-VAE) model with a dynamic loss function. …”
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A Vision-Based Video Crash Detection Framework for Mixed Traffic Flow Environment Considering Low-Visibility Condition by Chen Wang, Yulu Dai, Wei Zhou, Yifei Geng

“…The results showed that the proposed framework achieved a high detection rate of 92.5%, with relatively low false alarm rate of 7.5%. There are some useful findings: (1) the proposed model outperformed empirical rule-based detection models; (2) image enhancement method can largely improve crash detection performance under low-visibility conditions; (3) the accuracy of object detection (e.g., bounding box prediction) can impact crash detection performance, especially for minor motor-vehicle crashes. …”
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Performance evaluation of perceptible impulsive noise detection methods based on auditory models by Arda Özdoğru, František Rund, Karel Fliegel

“…Evaluation criteria of the algorithms included the hit rate, false alarm rate, $$A'$$ A ′ , and computational time. …”
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Controlling Embedded Systems Remotely via Internet-of-Things Based on Emotional Recognition by Mohammad J. M. Zedan, Ali I. Abduljabbar, Fahad Layth Malallah, Mustafa Ghanem Saeed

“…Promising experimental results are achieved by conducting experiments on 40 individuals who participated in controlling their emotional biosignals on several devices such as closing and opening a door and also turning the alarm on or off through Wi-Fi. The system implementing this research is developed in Matlab. …”
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Zika, a Mosquito-Transmitted Virus by L. Phil Lounibos, Barry W. Alto, Nathan D. Burkett-Cadena, Cynthia C. Lord, Chelsea T. Smartt, C. Roxanne Rutledge Connelly, Jorge R. Rey

“…In 2015, however, Zika became a larger concern when a strain of the virus traced to outbreaks in French Polynesia emerged in northeastern Brazil. This strain provoked alarm because of increased incidence of microcephaly in babies born to Zika-infected mothers. …”
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A superhydrophobic anti-flaming coating with anti-corrosion function for paper-based triboelectric nanogenerator by Yanfang Meng, Junqing Zhao, Wenming He

“…This paper-based TENG feasibly powers LED and alarm apparatus, demonstrating its plausibility for new approach for advanced energy harvest and conversion.…”
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Repeat Upper Gastrointestinal Endoscopy in Patients with Functional Dyspepsia: Yield, Findings, and Predictors of Positive Findings by Supot Pongprasobchai, Natta Asanaleykha, Pongchirat Tantayakom

“…Four independent predictors of positive repeat EGD were smoking (HR 3.88, 95% CI 1.31–11.51, P=0.015), hypertension (HR 2.96, 95% CI 1.38–6.36, P=0.050), history of malignancies (HR 3.65, 95% CI 1.16–11.46, P=0.027), and antiplatelets or NSAIDs used within 4 weeks (HR 4.10, 95% CI 1.13–14.90, P=0.032), while alarm features or failure to treatment did not predict positive repeat EGD.  …”
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Spectroscopic aspects of underwater digital holography of plankton by Victor Dyomin, Igor Polovtsev, Alexandra Davydova, Nikolai Kirillov

“…There are characteristic rhythms in the ecosystem function caused by both plankton biorhythms and changes in habitat parameters, as well as their synchronization, whereas a change in this rhythm may serve as an alarm signal for the ecosystem deprivation. By constructing the analogies based on the spectroscopy of atoms and molecules the paper shows the bioindication capabilities of the Fourier spectra of the plankton ecosystem function, built during monitoring measurements using a submersible digital holographic camera. …”
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Colonial breeding impacts potentially fitness-relevant cognitive processes in barn swallows by Angela Medina-García, Ellen Scherner, Molly T. McDermott, Mark E. Hauber, Rebecca J. Safran

“…We tested for selective attention to social information with playbacks of conspecific alarm calls and for decision-making with simulated predator intrusions, across a range of colony sizes from 1 to 33 pairs. …”
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Pneumothorax, Pneumomediastinum, and Cervical and Facial Massive Emphysema Secondary to Colonoscopy: A Rare Complication of Colonoscopy by Ruben Daniel Perez Lopez, Julian Vargas Flores, Lenin de Jesus Orbe Garibay, Hugo Fernando Narvaez Gonzalez

“…We demonstrated that massive subcutaneous emphysema can be managed with observation if there is no other alarm data evident that required another surgical approach.…”
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Application of New Intelligent Anti-flood Equipment Series in Underground Engineering by LIU Jun, WU Zhisong, CHE Lunfei, CAI Chongqing, LI Guodong, HU Haoming, LIU Qi, YU Ze

“…［Method］ Based on liquid level alarm control technology, a series of intelligent anti-flood equipment for underground engineering are proposed, mainly including full-section intelligent anti-flood door, intelligent drop type anti-flood door, intelligent uplifting anti-flood baffle, to establish a comprehensive protection system of underground engineering against flooding and waterlogging. …”
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Highlights of 2023-Print Issue by Patient Safety Authority

“…Among this curated selection are a look at [safety issues with medical equipment, supplies, and devices](https://patientsafetyj.com/article/73988); takeaways from high-risk industries that can improve the design and use of [visual displays](https://patientsafetyj.com/article/77769) and [alarm technology](https://patientsafetyj.com/article/73905); and a timely discussion on the [role artificial intelligence can play in healthcare](https://patientsafetyj.com/article/77632). …”
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All-or-none activity as a correlate of object awareness in monkey visual cortex by Anne‑Claire Collet, Roger Koenig‑Robert, Denis Fize, Rufin VanRullen

“…On the other hand, the P2 component was only present when the target was recognized or when a distractor elicited a false alarm, but totally absent otherwise, either when the target was not recognized or when a distractor was correctly rejected, thus being modulated in an all-or-none fashion by image recognition as a target of the task. …”
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Dual-Polarimetric SAR Measurements to Observe Liquefaction Surface Manifestations by Ferdinando Nunziata, Anna Verlanti, Nicola Angelo Famiglietti, Maurizio Migliaccio, Annamaria Vicari

“…The methodology consists of two steps: first the spatial distributions of soil liquefaction is estimated using a constant false alarm rate method applied to the SPAN metric, namely the total power associated with the measured polarimetric channels, which is ingested into a bitemporal approach to sort out dark areas not genuine. …”
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Safety of Systems Integrating Fire Protection Equipment – Risks, Gaps, Recommendations by Wojciech Wróblewski, Dorota Seliga

“…Currently, Polish regulations are mainly based on the technical aspects of SIUP operation, i.e. the installation and operation of alarm systems. There is a lack of relevant legal regulations that directly address the issue of the network and cyber security of these systems. …”
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Dynamic Nonrecurrent Congestion Event Detection and Tracking Method With DBSCAN on Speed Watersheds by Jing Jin, Yizhou Wang, Anjiang Chen, Branislav Dimitrijevic, Joyoung Lee

“…Imprecise NRC event detection methods can trigger false alarms and repetitive incident alerts for the same congestion event. …”
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