RGB-T Object Detection With Failure Scenarios by Qingwang Wang, Yuxuan Sun, Yongke Chi, Tao Shen

“…Currently, RGB-thermal (RGB-T) object detection algorithms have demonstrated excellent performance, but issues such as modality failure caused by fog, strong light, sensor damage, and other conditions can significantly impact the detector's performance. …”
Get full text

Assimilation of temperature and relative humidity observations from personal weather stations in AROME-France by A. Demortier, M. Mandement, V. Pourret, O. Caumont, O. Caumont

“…Improvements to the near-surface temperature and relative humidity fields analysed are shown for a sea breeze case during a heatwave and a fog episode. However, degradation of short-range forecasts are found when PWS observations are assimilated with the current operational 3DVar DA scheme in the atmosphere or jointly in the atmosphere and at the surface with 3DEnVar and optimal interpolation DA schemes. …”
Get full text

Fault Prediction and Recovery Using Machine Learning Techniques and the HTM Algorithm in Vehicular Network Environment by Salah Zidi, Bechir Alaya, Tarek Moulahi, Amal Al-Shargabi, Salim El Khediri

“…We propose the performance of fault detection and recovery at the level of the fog layer. The obtained simulation results demonstrate the efficiency of the learning methods and HTM for the detection of defects and errors in the IoV.…”
Get full text

A mesterséges intelligencia rendelet szabályozási kerete a bűnüldözés és a nemzetbiztonság területén by Hedvig Szabó

“…A tanulmány megállapítja, hogy az autonómia, az alkalmazkodóképesség és a következtetési képesség jogi meghatározása jelentős kihívást fog jelenteni a jogalkalmazók számára. Emellett a bűnüldözési szerveknek egyértelmű szabályokat állapít meg, míg a nemzetbiztonsági célú alkalmazások esetében az AI Act nem alkalmazandó. …”
Get full text

The impact of weather factors on operation of radiation heating system by V. I. Karagusov, I. S. Kolpakov

“…The work of radiation panels is affected by a number of weather factors such as cloudiness, temperature and humidity of atmospheric air, precipitation, fog, season of year and day, sun position angles and inclination angles of solar panels. …”
Get full text

A Supporting Design Method When Longwall FaceStrides across and Passes through a Roadway by Weidong Pan, Xinyuan Li, YiWei Li, Xiaobin Li, Qing Qiao, Haoran Gong

“…Therefore, the possibility of fall of ground (FOG) and crushing accidents can be reduced effectively with backfilling material of wood cribs. …”
Get full text

Spatiotemporal clusters of acute respiratory infections associated with socioeconomic, meteorological, and air pollution factors in South Punjab, Pakistan by Munazza Fatima, Ibtisam Butt, Shahab MohammadEbrahimi, Behzad Kiani, Oliver Gruebner

“…The results obtained from the season-based GLM highlighted the significance of climatic factors (temperature, fog, dust storms) and air pollutants (NO2) in influencing ARI incidence, while socio-economic variables (rural population, literacy) had limited impact. …”
Get full text

Infrared Image Enhancement: A Review by Qingwang Wang, Pengcheng Jin, Yuhang Wu, Liyao Zhou, Tao Shen

“…Under special conditions such as night, rain, and fog, visible light imaging technology often performs poorly, while radar and other imaging technologies are limited due to their high costs. …”
Get full text

Legal aspects of functional security standardisation of the Internet of Things by P. S. Klimushyn, V. Ye. Roh, T. P. Kolisnyk

“…To support the Internet of Things, technologies such as built-in devices, cloud and fog computing, big data processing, machine learning, and artificial intelligence are used to produce intelligent physical objects. …”
Get full text

Association of glycemic control with Long COVID in patients with type 2 diabetes: findings from the National COVID Cohort Collaborative (N3C) by Jane E B Reusch, Rachel Wong, Nasia Safdar, Harold Lehmann, Brijesh Patel, Til Stürmer, Hongfang Liu, Peter Robinson, Elaine Hill, Richard Moffitt, Justin Guinney, Joel Gagnier, Cavin Ward-Caviness, Noha Sharafeldin, Justin Starren, Amit Saha, Lesley Cottrell, Melissa A Haendel, Margaret A Hall, Vignesh Subbian, Kristin Kostka, Farrukh M Koraishy, Andrew E Williams, Robert Hurley, Steve Johnson, Usman Sheikh, Rishi Kamaleswaran, Christopher Dillon, Michele Morris, Randeep Jawa, Hemalkumar Mehta, Benjamin Bates, Tellen D Bennett, Nabeel Qureshi, Katie Rebecca Bradwell, Federico Mariona, Adam B Wilcox, Adam M Lee, Alexis Graves, Amin Manna, Amy Olex, Andrea Zhou, Andrew Southerland, Andrew T Girvin, Anita Walden, Anjali A Sharathkumar, Benjamin Amor, Brian Hendricks, Caleb Alexander, Carolyn Bramante, Charisse Madlock-Brown, Christine Suver, Christopher Chute, Chunlei Wu, Clare Schmitt, Cliff Takemoto, Dan Housman, Davera Gabriel, David A Eichmann, Diego Mazzotti, Eilis Boudreau Don Brown, Elizabeth Zampino, Emily Carlson Marti, Emily R Pfaff, Evan French, Fred Prior, George Sokos, Greg Martin, Heidi Spratt, Hythem Sidky, JW Awori Hayanga, Jami Pincavitch, Jaylyn Clark, Jeremy Richard Harper, Jessica Islam, Jin Ge, Joel H Saltz, Joel Saltz, Johanna Loomba, John Buse, Jomol Mathew, Joni L Rutter, Julie A McMurry, Karen Crowley, Kellie M Walters, Ken Wilkins, Kenneth R Gersing, Kenrick Dwain Cato, Kimberly Murray, Lavance Northington, Lee Allan Pyles, Leonie Misquitta, Lili Portilla, Mariam Deacy, Mark M Bissell, Marshall Clark, Mary Emmett, Mary Morrison Saltz, Matvey B Palchuk, Meredith Adams, Meredith Temple-O'Connor, Michael G Kurilla, Nicole Garbarini, Ofer Sadan, Patricia A Francis, Penny Wung Burgoon, Rafael Fuentes, Rebecca Erwin-Cohen, Richard A Moffitt, Richard L Zhu, Robert T Miller, Saiju Pyarajan, Sam G Michael, Samuel Bozzette, Sandeep Mallipattu, Satyanarayana Vedula, Scott Chapman, T Shawn, Soko Setoguchi O'Neil, Stephanie S Hong, Tiffany Callahan, Umit Topaloglu, Valery Gordon, Warren A Kibbe, Wenndy Hernandez, Will Beasley, Will Cooper, William Hillegass, Xiaohan Tanner Zhang, Samuel Soff, Yun Jae Yoo, Jared Davis Huling, Daniel Brannock, Zachary Butzin-Dozier, Alfred Jerrod Anzalone, Philip RO. Payne, Rena Patel

“…Symptoms were identified as keywords from clinical notes using NLP in respiratory, brain fog, fatigue, loss of smell/taste, cough, cardiovascular and musculoskeletal symptom categories. …”
Get full text

The analysis of thermal performance of radiation life support system based on experimental data by V. I. Karagusov, A. V. Zinovieva

“…., a significant part of them, such as fog, haze, dew, shadow from each cloud affects the amount of insolation and all this cannot be taken into account in advance. …”
Get full text

Assessing the readability, quality and reliability of responses produced by ChatGPT, Gemini, and Perplexity regarding most frequently asked keywords about low back pain by Erkan Ozduran, Volkan Hancı, Yüksel Erkin, İlhan Celil Özbek, Vugar Abdulkerimov

“…The readability of the responses given was determined with the Simple Measure of Gobbledygook (SMOG), Flesch Reading Ease Score (FRES) and Gunning Fog (GFG) readability scores. Quality was assessed using the Global Quality Score (GQS) and the Ensuring Quality Information for Patients (EQIP) score. …”
Get full text

Spatial behavior of mesocarnivores living in seasonal ecosystems: A case study in arid landscapes in northern-central Chile by Darío Moreira-Arce, Pablo M. Vergara, Alex Oporto, Alberto J. Alaniz, Claudia Hidalgo-Corrotea, Alfredo H. Zúñiga, Alejo Gutiérrez, Sebastián Moreno, Daniela Araya, Simone Ciuti

“…One example is the South American grey fox (Lycalopex griseus), a mesocarnivore that inhabits north-central Chile, an arid region under increasing human presence and where coastal fog is an important but variable source of moisture. …”
Get full text

Bevezetés „A tudat aspektusai” című tematikus rovat elé by Bence Marosán

“…A blokkban szereplő valamennyi írás révén az olvasó olyan új információkkal gazdagodik a vizsgált terület vagy téma vonatkozásában, amelyekkel korábban nem rendelkezett, amelyek révén maga is tisztábban és világosabban fog látni az elemzett problémák, szerzők tekintetében. [...] …”
Get full text

Cloud-edge hybrid deep learning framework for scalable IoT resource optimization by Umesh Kumar Lilhore, Sarita Simaiya, Yogesh Kumar Sharma, Anjani Kumar Rai, S. M. Padmaja, Khan Vajid Nabilal, Vimal Kumar, Roobaea Alroobaea, Hamed Alsufyani

“…Simulations using real-world IoT data on the iFogSim platform showed significant improvements: task scheduling time was reduced by 21%, operational costs by 17%, and energy consumption by 22%. …”
Get full text

Chronic inflammation in post-acute sequelae of COVID-19 modulates gut microbiome: a review of literature on COVID-19 sequelae and gut dysbiosis by Najeeha Talat Iqbal, Hana Khan, Aqsa Khalid, Syed Faisal Mahmood, Nosheen Nasir, Iffat Khanum, Isadora de Siqueira, Wes Van Voorhis

“…Most studies define Long COVID, through symptoms like fatigue, brain fog, joint pain, and headache prevailing four or more weeks post-initial infection. …”
Get full text

A dehazing and enhancement algorithm for heterogeneous images of underground mining environments in coal mines by Xuhui ZHANG, Yanbin XIE, Wenjuan YANG, Chao ZHANG, Jicheng WAN, Zheng DONG, Yanqun WANG, Jie JIANG, Long LI

“…The results indicate that compared to the above novel and excellent algorithms in terms of their optimal indicators, the proposed algorithm exhibited that: (1) The average gradients were approximately twice those obtained by CEEF, suggesting elevated image clarity. (2) The average information entropy decreased by approximately 1% compared to that of MRP, implying more information preserved. (3) The standard deviation increased by approximately 6% on average compared to OSFD, representing improved image contrast. (4) The average fog aware density evaluator (FADE) value by approximately 23% compared to CEEF, implying an effective reduction in the haze Therefore, the proposed algorithm can effectively improve the visual effects and quality of blurred images of underground mining environments in coal mines, exhibiting high utility in engineering.…”
Get full text

The relationship between cognitive function and neuropsychiatric disorders with quantitative electroencephalogram (qEEG) on long COVID syndrome patients by Yetty Ramli, Pukovisa Prawiroharjo, Winnugroho Wiratman, Eric Tenda, Nurhadi Ibrahim, Damar Susilaradeya, Abdi Reza, Jennifer Agatha, Rejoel Siagian, Hazrina Fauhan, Florencia Evelyn, Yoshikazu Ugawa, Prasandhya Yusuf

“…Decreased brain connectivity indicates cognitive-sensorimotor decline and is confirmed by the frequent brain fog symptoms in long COVID.…”
Get full text

Technologies for Interoperable Internet of Medical Things Platforms to Manage Medical Emergencies in Home and Prehospital Care: Scoping Review by Mattias Seth, Hoor Jalo, Åsa Högstedt, Otto Medin, Bengt Arne Sjöqvist, Stefan Candefjord

“…Message queuing telemetry transport (MQTT; 7/30, 23%) and WebSocket (7/30, 23%) were commonly used for real-time emergency alerts, while fog and edge computing were often combined with cloud computing for enhanced processing power and reduced latencies. …”
Get full text

Health-related adverse work outcomes associated with post COVID-19 condition: a cross-sectional study by Peter M Smith, Hind Sbihi, Wei Zhang, Adeera Levin, Naveed Z Janjua, Hiten Naik, Bingyue Zhu, Lee Er, Karen Tran

“…The risk of a health-related adverse work outcome was especially high in those with post-COVID-19 fatigue (aOR 4.6 (95% CI 2.7 to 7.9)), fever (aOR 4.0 (95% CI 1.7 to 9.6)), weakness (aOR 3.8 (95% CI 2.2 to 6.3)), palpitations (aOR 3.3 (95% CI 2.0 to 5.0)) and brain fog (aOR 3.2 (95% CI 2.0 to 5.0)).Conclusions PCC is associated with health-related adverse work outcomes. …”
Get full text