Modelling and Forecasting Energy Efficiency Impact on the Human Health by Yuliia Matvieieva, Hedy Ben Hamida

“…In turn, businesses and industries pay more attention to developing renewable energy sources. Google Trends analysis of the popularity of the search query «renewable energy» identified Korea, Turkey, Nigeria, Bangladesh, and Germany as leaders in the number of queries. …”
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Preliminary Design of a GNSS Interference Mapping CubeSat Mission: JamSail by Luis Cormier, Tasneem Yousif, Samuel Thompson, Angel Arcia Gil, Nishanth Pushparaj, Paul Blunt, Chantal Cappelletti

“…First, a flexible, low-cost GNSS interference detection payload capable of characterising and geolocating the sources of radio interference regarding the E1/L1 and E5a/L5 bands will be demonstrated on a global scale. …”
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THEORY AND PRACTICE OF ASSESSING THE LEVEL OF INSTABILITY OF THE EXTERNAL ENVIRONMENT OF THE ENTERPRISE IN A HYBRID WAR by I. Zapukhliak, A. Shegda, О. Mykytiuk, T. Onysenko, K. Petrenko

“…The article proposes a methodological approach to comprehensive assessment of the level of instability of environmental factors of enterprises, which, unlike others, involves the detection of instability in terms of seven components (socio-demographic, economic, technological, environmental, political, legal, ethical) on four criteria: complexity, interdependence, variability and uncertainty of factors, which makes it possible to determine their sources and nature, and thus form an effective response of the enterprise to change. …”
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Image-based soft drink type classification and dietary assessment system using deep convolutional neural network with transfer learning by Rubaiya Hafiz, Mohammad Reduanul Haque, Aniruddha Rakshit, Mohammad Shorif Uddin

“…To perform experimentation a dataset is built containing ten most consumed soft drinks in Bangladesh using images from the ImageNet dataset, internet sources and also self-capturing. The experiment confirms that our system can detect and recognize different types of drinks with an accuracy of 98.51%.…”
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Cerebrospinal fluid CD4+ T cell infection in humans and macaques during acute HIV-1 and SHIV infection. by Vishakha Sharma, Matthew Creegan, Andrey Tokarev, Denise Hsu, Bonnie M Slike, Carlo Sacdalan, Phillip Chan, Serena Spudich, Jintanat Ananworanich, Michael A Eller, Shelly J Krebs, Sandhya Vasan, Diane L Bolton, RV254/SEARCH010 and RV304/SEARCH013 Study Teams

“…HIV-1 replication within the central nervous system (CNS) impairs neurocognitive function and has the potential to establish persistent, compartmentalized viral reservoirs. …”
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User satisfaction with train fares: A comparative analysis in five Australian cities. by Puteri Paramita, Zuduo Zheng, Md Mazharul Haque, Simon Washington, Paul Hyland

“…In particular, satisfaction with train fares is modelled as a function of socio-economic factors and train trip characteristics, using a random parameters ordered Logit model that accounts for unobserved heterogeneity in the population. …”
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Involvement of transposable elements in neurogenesis by R. N. Mustafin, E. K. Khusnutdinova

“…Significant activity of long non-coding RNA was detected in the hippocampus, which confirms the role of transposons in the regulation of brain function. …”
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Evidence of limited N2 fixation in the Southern Ocean by Shuai Gu, Hugo Berthelot, Yajuan Lin, Weiyi Tang, Julie Robidart, A. Murat Eren, Hugh W. Ducklow, Nicolas Cassar

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State of the art in remote sensing monitoring of carbon dynamics in African tropical forests by Thomas Bossy, Thomas Bossy, Thomas Bossy, Philippe Ciais, Philippe Ciais, Solène Renaudineau, Liang Wan, Bertrand Ygorra, Elhadi Adam, Nicolas Barbier, Marijn Bauters, Nicolas Delbart, Nicolas Delbart, Frédéric Frappart, Tawanda Winmore Gara, Eliakim Hamunyela, Suspense Averti Ifo, Gabriel Jaffrain, Philippe Maisongrande, Maurice Mugabowindekwe, Maurice Mugabowindekwe, Theodomir Mugiraneza, Theodomir Mugiraneza, Cassandra Normandin, Conan Vassily Obame, Marc Peaucelle, Camille Pinet, Pierre Ploton, Le Bienfaiteur Sagang, Martin Schwartz, Valentine Sollier, Bonaventure Sonké, Bonaventure Sonké, Paul Tresson, Aurélien De Truchis, An Vo Quang, Jean-Pierre Wigneron

“…Future developments in remote sensing should examine how multi-sensor integration of high-resolution data from instruments such as Planet, Tandem-X, SPOT and improved AI methods can refine forest composition, carbon storage and function maps, enhance large-scale monitoring of tree height and biomass dynamics, and improve forest degradation and deforestation detection down to tree level. …”
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Microalgal Metabolomes and Recent Biotechnological Advances for Their Industrial Application by Dinesh Kumar Saini, Geetanjali Manchanda, Ratiram Gomaji Chaudhary, Raghvendra Pratap Singh

“…These organisms are photosynthetic, use CO₂ as their sole carbon source, and grow rapidly under different environmental conditions. …”
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Heterogeneous transfer learning model for improving the classification performance of fNIRS signals in motor imagery among cross-subject stroke patients by Jin Feng, YunDe Li, ZiJun Huang, Yehang Chen, SenLiang Lu, RongLiang Hu, QingHui Hu, YuYao Chen, XiMiao Wang, Yong Fan, Jing He

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Exploration of the interaction between antimicrobial peptides and gamma radiation for biosensor development. by Fabiane Modenese Garbim, Marcela Rabelo De Lima, Giulianna Santos Pereira, João Nilton Conceição Bandeira, Álvaro José Mendes-Boareto, Fernando Manuel Araújo-Moreira, N.F.G. Serrano

“…These findings indicate that, although AMPs demonstrate changes in activity as a function of dose and could be explored for biosensing, their functional stability is limited at higher radiation doses. …”
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Collective Mapping of Gas Leakages to Determine Safe Routes Using Multi-Robot System by Ronnier Frates Rohrich, Luis Felipe Messias, Jose Lima, Andre Schneider de Oliveira

“…In this study, robot groups act as multiple composite sensors that can move independently according to their assigned functions. Autonomous detection, collective mapping, and collective decision-making of the robots are behaviors bioinspired by the cognitive mechanisms observed in bacterial colonies. …”
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Milk phenomics: leveraging biological bonds with blood and infrared technologies for evaluating animal nutritional and health status by Diana Giannuzzi, Chiara Evangelista, Angela Costa, Giuseppe Conte, Gianluca Neglia, Umberto Bernabucci, Stefano Schiavon, Marcello Mele, Alessio Cecchinato

“…Indeed, monitoring the nutritional and health status becomes paramount, aiming for an early detection of (sub)clinical health impairments. Given the mammary gland’s centrality in high-yielding dairy breeds, it’s unsurprising that the milk matrix provides insights about udder itself but also systemic metabolic function. …”
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Optimizing extraction of microbial DNA from urine: Advancing urinary microbiome research in bladder cancer by Chuang-Ming Zheng, Ho Won Kang, Seongmin Moon, Young Joon Byun, Won Tae Kim, Yung Hyun Choi, Sung-Kwon Moon, Xuan-Mei Piao, Seok Joong Yun

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The role of vitamin K in the pathology of newborns and infants (literature review) by Y.V. Marushko, A.O. Pysariev, T.V. Kurilina, O.A. Bovkun

“…PIVKA II is used as a functional marker for the detection of vitamin K deficiency. …”
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Enabling beam-scanning antenna technologies for terahertz wireless systems: A review by Dongze Zheng, Geng-Bo Wu, Zhi Hao Jiang, Wei Hong, Chi Hou Chan, Ke Wu

“…While producing a scannable highly-directive antenna beam proves to be indispensable in the period of microwaves, the significance of such functionality is more critical in the THz era, considering that THz waves have more intractable challenges such as the severity of free-space propagation losses, the susceptibility to atmospheric environments, and the unavailability of efficient signal sources. …”
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A lightweight transformer based multi task learning model with dynamic weight allocation for improved vulnerability prediction by Lan Liu, Zhanfa Hui, Guiming Chen, Tingfeng Cai, Chiyu Zhou

“…Traditional methods, such as single-task learning and ensemble approaches, often struggle with these challenges, particularly in detecting rare but critical vulnerabilities. To address this, we propose the MTLPT: Multi-Task Learning with Position Encoding and Lightweight Transformer for Vulnerability Prediction, a novel multi-task learning framework that leverages custom lightweight Transformer blocks and position encoding layers to effectively capture long-range dependencies and complex patterns in source code. …”
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21 Balmer Jump Street: The Nebular Continuum at High Redshift and Implications for the Bright Galaxy Problem, UV Continuum Slopes, and Early Stellar Populations by Harley Katz, Alex J. Cameron, Aayush Saxena, Laia Barrufet, Nichloas Choustikov, Nikko J. Cleri, Anna de Graff, Richard S. Ellis, Robert A.E. Fosbury, Kasper E. Heintz, Michael Maseda, Jorryt Matthee, Ian McConachie, Pascal A. Oesch

“…First, we provide a theoretical background, showing how different stellar populations (SPS models, initial mass functions (IMFs), and stellar temperatures) and nebular conditions impact observed galaxy spectra. …”
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A Fully Printable Strain Sensor Enabling Highly‐Sensitive Wireless Near‐Field Interrogation by Hassan A. Mahmoud, Hussein Nesser, Tarek M. Mostafa, Shehab Ahmed, G. Lubineau

“…Abstract Wireless, passive, and flexible strain sensors can transform structural health monitoring across various applications by eliminating the need for wired connections and active power sources. Such sensors offer the dual benefits of operational simplicity and high‐function adaptability. …”
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