A POSSIBLE RELATIONSHIP BETWEEN THE SETS OF QUASI-LINEAR LOCAL TRENDS STATISTICALLY DETECTED IN THE VARIATIONS OF THE MAGNETIC FIELD PARAMETERS BEFORE EARTHQUAKES IN SEISMICLY ACTI... by A. E. Volvach, L. P. Kogan, K. H. Kanonidi, L. I. Nadezhka, I. T. Bubukin, O. V. Boborikina, V. B. Shtenberg, L. N. Volvach, D. T. Biazitov

“…There has been found a set of quasi-linear objects with very similar parameters. In the context of a hypothesis about the correspondence of these structures to seismic processes, there has been made an estimate of time intervals typical for the phases of decrease and increase in the level of compression of lithospheric plate material in the earthquake source zones. …”
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Social injustice and public perception of Biafra social movements in the South East Nigeria by Macpherson Uchenna Nnam

“…Descriptive statistics and linear regression were used to analyse the quantitative data. …”
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Secret Sharing Limitations Over Boolean Circuits by Iulian Oleniuc, Alexandru Ioniță

“…This paper offers a gentle introduction into the realm of monotone span programs and their connection with linear secret sharing schemes and attribute-based encryption while emphasizing the cryptographic importance of finding efficient MSPs for representing complex access structures. …”
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Experimental Study on the Effect of Wind Speed on Hail Impacts by Yimin Dai, Yao Deng, Hao Luo, Yanwen Long

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KEY COMPETENCE AS A BASIS FOR INNOVATION PROJECTS MANAGEMENT by Lyudmyla Chernova

“…It should be noted that an organization may have more than one key competence, especially when we deal with changes in the management structure or entering new markets.  For this class of tasks, the classical linear optimization problem does not fit, since it does not take into account the additional conditions that arise when an organization transitions from one state to another, precisely due to the implementation of the development program.  …”
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Corrugation at the Trailing Edge Enhances the Aerodynamic Performance of a Three-Dimensional Wing During Gliding Flight by Kaipeng Li, Na Xu, Licheng Zhong, Xiaolei Mou

“…Dragonflies exhibit remarkable flight capabilities, and their wings feature corrugated structures that are distinct from conventional airfoils. …”
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A Novel Geospatial Approach for Analyzing Coastal Roadway Vulnerability to Shoreline Changes by Soomin Kim, Jaeyoung Lee, Sungchul Hong

“…The results demonstrate the effectiveness of the proposed approach in analyzing shoreline retreat caused by coastal infrastructure development, as well as shoreline accretion following the installation of erosion control structures. These results, which closely reflect the actual erosion pattern, indicate that the proposed approach can effectively support planning for roadway maintenance and reinforcement.…”
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Artificial neural network algorithm for time dependent radiative Casson fluid flow with couple stresses through a microchannel by Pradeep Kumar, Felicita Almeida, Qasem Al-Mdallal

“…They help in modelling and analysing complex fluid flow problems and when properly trained they help in predicting the flow structures. Thus, this study focuses on constructing an artificial neural network design to solve mathematical problem of Casson fluid flow in the presence of non-linear radiation and a magnetic field. …”
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Hydrogen-centric machine learning approach for analyzing properties of tricyclic anti-depressant drugs by Simran Kour, J. Ravi Sankar

“…Additionally, hydrogen representation had a stronger impact on SVR's predictions.DiscussionThese findings highlight the potential of using machine learning techniques in quantitative structure-property relationship (QSPR) models for more efficient and reliable predictions of drug properties.…”
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Mixing High-Frequency Bands Based on Wavelet Decomposition for Long-Term State-of-Charge Forecasting of Lithium-Ion Batteries by Yeseo Joo, Chihyeon Choi, Sangho Lee, Youngdoo Son

“…Finally, we integrate the low- and high-frequency features generated solely by linear transformations that help maintain temporal structure and improve long-term forecasting accuracy. …”
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Robust Expansion Planning of Distribution Network in Presence of Electric Vehicles to Improve Economic Parameters and Reduce Energy Consumption by Mahyar Abasi, Javad Ebrahimi, Shirin Besati

“…However, the growing adoption of EVs has made it crucial for operators and network designers to strategically plan for electric power consumption, adapt the distribution network structure, and accurately determine the optimal number and positioning of charging stations. …”
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Are vision transformers replacing convolutional neural networks in scene interpretation?: A review by N. Arockia Rosy, K. Balasubadra, K. Deepa

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Investigation of the operating characteristics of a free-piston closed-cycle Joule engine generator with helium as working fluid by Benlei Wang, Shunmin Zhu, Ugochukwu Ngwaka, Boru Jia, Kumar Vijayalakshmi Shivaprasad, Yaodong Wang, Andrew Smallbone, Anthony Paul Roskilly, Ercang Luo

“…As an emerging micro- or small-scale energy conversion technology, linear Joule engine generators (LJEGs) combine the advantages of external combustion engines and linear generators, feature the advantages of high thermal-to-electrical efficiency, multi-fuel potential, good operational flexibility, a simple and compact mechanical structure, and low frictional loss. …”
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Effects of perinatal variables on echocardiographic assessments of left ventricular dimensions in infants born large for gestational age: a prospective cohort analysis by Ahmed Amarah, Ibrahim Elmakaty, Iram Nadroo, Manoj Chhabra, Danthanh Hoang, Debbie Suk, Ali M. Nadroo, Nitin Ron, Beata Dygulska, Madhu B. Gudavalli, Pramod Narula, Ashraf Gad

“…Certain perinatal variables were identified as key determinants affecting various aspects of LV structure. These insights highlight the importance of considering these perinatal factors in neonatal cardiac assessments for early detection and intervention.…”
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Neural network technology for identifying defect sizes in half-plane based on time and positional scanning by A. N. Solov'ev, A. V. Cherpakov, P. V. Vasil’ev, I. A. Parinov, E. V. Kirillova

“…A finite element model of a layered structure has been developed in a flat formulation of the problem in the ANSYS package. …”
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DEFORMATION WAVES AS A TRIGGER MECHANISM OF SEISMIC ACTIVITY IN SEISMIC ZONES OF THE CONTINENTAL LITHOSPHERE by S. I. Sherman

“…This understanding of the fundamental basis of seismic process needs to be more thoroughly justified with application of modern concepts, its revised phenomenological concept and development of a model representing a seismic zones as a geologically and geophysically independent structure of the lithosphere, which has its specific properties, based on which testing of the lithosphere becomes possible for purposes of potential earthquake prediction.…”
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Arrayable TDC with Voltage-Controlled Ring Oscillator for dToF Image Sensors by Liying Chen, Bangtian Li, Chuantong Cheng

“…Compared with previous research methods, the proposed phase arbiter structure can eliminate sampling errors and improve the linearity of TDC. …”
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Quantitative Automatic Non-Invasive Assessment of Material Degradation in Historic Tapestries by Bárbara Sánchez-Cancela, Antonio Álvarez Fernández-Balbuena, Daniel Vázquez Molini, Verónica García Blanco, Almudena López Sánchez

“…This paper reports on an investigation into the development of HeriTex, a non-invasive, innovative system for evaluating the structural integrity of historic tapestries, with a particular focus on measuring material loss. …”
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Blessing of dimensionality in spiking neural networks: the by-chance functional learning by Valeri A. Makarov, Sergey A. Lobov, Sergey A. Lobov

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Enhanced mm-Wave Frequency Up-Conversion via a Time-Varying Graphene Aperture on a Cavity Resonator by Stamatios Amanatiadis, Theodosios Karamanos, Fabrice Lemoult, Nikolaos V. Kantartzis

“…The transition to 5G and beyond has highlighted the need for efficient devices that operate at mm-wave frequencies, which require new structures and pose fabrication challenges. This paper proposes a novel non-linear antenna that combines the well-established substrate-integrated cavity (SIC) radiators and time-varying graphene for generating harmonic frequencies in the mm-wave spectrum. …”
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