Impact of temporal and rearing environment variations on brood ester pheromone production in the honey bee Apis mellifera by Mondet, Fanny, Beslay, Dominique, Cousin, Marianne, Le Conte, Yves

“…In this study, we investigated the temporal variations of BEP under natural conditions as well as the developmental variations of the 10 compounds for in-hive versus in vitro reared brood. …”
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Time-Variation Damping Dynamic Modeling and Updating for Cantilever Beams with Double Clearance Based on Experimental Identification by Yunhe Zhang, Fanjun Meng, Xueguang Li, Wei Song, Dashun Zhang, Faping Zhang

“…First, a dynamic model framework for manipulator arms is established based on the Hamilton principle and hypothetical mode method with time-variation damping. Then, a multi-resolution identification is performed for identifying the instantaneous frequency and damping ratio to estimate stiffness and damping by the sensors. …”
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Agronomic efficiency of partially acidulated and granulated Arraias phosphate rock by Vinicius de Melo Benites, Sulian Junkes Dal Molin, Cassio Sitta, Ernesto Sitta Neto, Carla Nascimento, Jéssica Franciele Kaminski Ramos, Philip A. Moore Jr.

“…For the second experiment, treatments were 15 % PAPR granulated to average sizes of 0.25, 0.75, 1.50, and 2.4 mm. The agronomic efficiency of all variations of the PR was lower than the TSP. …”
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An efficient graph attention framework enhances bladder cancer prediction by Taghreed S. Ibrahim, M. S. Saraya, Ahmed I. Saleh, Asmaa H. Rabie

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Post-extrasystolic variation of ST segment and T wave as a mortality risk predictor after myocardial infarction by Ralf J. Dirschinger, Ralf J. Dirschinger, Alexander Müller, Petra Barthel, Alexander Steger, Michael Dommasch, Axel Bauer, Karl-Ludwig Laugwitz, Georg Schmidt, Daniel Sinnecker, Daniel Sinnecker

“…The aim of this study was to assess whether this post-extrasystolic ST segment and T wave variation (PEST) conveys prognostic information regarding the mortality risk of cardiac patients.MethodsPEST was calculated from 30-min ECGs obtained from 941 survivors of acute myocardial infarction (AMI) as mean difference between the sum of squared voltages from three orthogonal leads (XYZ) of the first (post-extrasystolic) and second (reference) beat after each VPC, in a time window between the limits ϕ1 and ϕ2. …”
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IRSnet: An Implicit Residual Solver and Its Unfolding Neural Network With 0.003M Parameters for Total Variation Models by Yuanhao Gong

“…The network is shown to be more effective and efficient. Thanks to the small number of parameters, the proposed network can be applied in a wide range of applications where total variation is imposed. …”
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Variational Quantum Monte Carlo Solution of the Many-Electron Schrödinger Equation Based on Deep Neural Networks by Huiping Su, Hongbo Gao, Xinmiao Wang, Xi He, Da Shen

“…Therefore, it is crucial to find an effective numerical method. To solve this problem, this paper present a deep learning architecture, VMCNet, using the powerful computational efficiency of neural networks to improve the speed of numerical computation. …”
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Subspace-based local compilation of variational quantum circuits for large-scale quantum many-body simulation by Shota Kanasugi, Yuichiro Hidaka, Yuya O. Nakagawa, Shoichiro Tsutsui, Norifumi Matsumoto, Kazunori Maruyama, Hirotaka Oshima, Shintaro Sato

“…The LSVQC performs a variational optimization to reproduce the action of the target time-evolution operator within a physically reasonable subspace. …”
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Copy number variations at the Rhg1 locus and their relationship with resistance to soybean cyst nematode (Heterodera glycines) by Dinesh Poudel, Guiping Yan, Carrie Miranda, Gustavo Fernando Kreutz, Intiaz Amin Chowdhury

“…The Rhg1 locus contributes to the strong and effective SCN resistance, with resistance levels predominantly governed by copy number variations (CNVs) and, to lesser extent, sequence variations. …”
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Cost Efficiency and Effectiveness of Drone Applications in Bridge Condition Monitoring by Taraneh Askarzadeh, Raj Bridgelall

“…Bridges are an integral and important part of road networks, but monitoring their condition using traditional methods is expensive, dangerous, and laborious. This study examines the rapidly emerging field of drone-based transportation asset monitoring, focusing on analyzing the cost efficiency and effectiveness of drone applications in bridge condition monitoring. …”
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Transformative innovations igniting coffee supply chain process efficiency by Maya Irjayanti, Anton Mulyono Azis, Susilawati, Andika Rizki Sobari

“…This study employs a quantitative descriptive research approach, which is based on operational methods. The study presents the analysis in terms of production line efficiency, aiming to enhance the performance and competitiveness of Indonesian coffee providers. …”
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Increasing the drying unit energy efficiency through with thermoelectric modules by D. A. Tikhomirov, A. V. Khimenko, A. V. Kuzmichev

“…(Research purpose) The purpose of this study is to conduct laboratory experiments on the drying process of apples focusing on evaluating the energy consumption required to evaporate 1 kilogram of moisture using a newly developed convective thermoelectric drying unit and compare its energy efficiency with mass-produced convective dryers. (Materials and methods) The findings from theoretical and experimental studies facilitated the development of a functional diagram and a laboratory prototype of a convective thermoelectric dryer using a thermoelectric heat pump. …”
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Increasing Solar cell Efficiency using Quantum Dot Sensitization by Parashar Komal, Bobba Phaneendra babu, Samyuktha Penta, Fallah Mohammed Hussein, Chauhan Sanjay Singh, Verma Vikas, Rathour Abhinav, Gupta Manish

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Machine learning aids in the discovery of efficient corrosion inhibitor molecules by Haiyan GONG, Lingwei MA, Dawei ZHANG

“…These technologies not only enhance screening efficiency but also uncover molecular structures and properties that traditional methods may overlook. …”
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Evaluating performance variations cross cloud data centres using multiview comparative workload traces analysis by Li Ruan, Xiangrong Xu, Limin Xiao, Lei Ren, Nasro Min-Allah, Yunzhi Xue

“…Classic methods such as profiling-based evaluating methods tend to only provide global statistics for a system compared with cloud tracing based approaches. …”
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The impact of quantum circuit architecture and hyperparameters on variational quantum algorithms exemplified in the electronic structure of the GaAs crystal by Ivana Miháliková, Michal Krejčí, Martin Friák

“…We analyze the impact of quantum circuit architectures, algorithm hyperparameters, and optimization methods on two VQAs: Variational Quantum Deflation (VQD) and Subspace Search Variational Quantum Eigensolver (SSVQE). …”
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Variations in Poisoning Epidemiology and Management During the Initial COVID-19 Outbreak in a Taiwanese Emergency Department by Chen LC, Mao CY, Cheong CW, Chen WC, Yen TH, Chen HY

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Ancient Javanese Manuscript Reconstruction Using Generative Adversarial Network with StarGAN v2 Variations by Kukuh Cokro Wibowo, Fitri Damayanti, Fanky Abdilqoyyim

“…This paper presents a manuscript reconstruction using the Generative Adversarial Network model, using the variation of StarGAN v2. The primary objective of this research is to assist philologists in reconstructing damaged manuscripts more efficiently, reducing the time and effort compared to manual reconstruction methods. …”
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Integrated Model Selection and Scalability in Functional Data Analysis Through Bayesian Learning by Wenzheng Tao, Sarang Joshi, Ross Whitaker

“…We propose a novel Bayesian framework with a nonparametric kernel expansion and a sparse prior, enabling the direct modeling of measured data and avoiding the artificial biases from regridding. Our method, Bayesian scalable functional data analysis (BSFDA), automatically selects both subspace dimensionalities and basis functions, reducing the computational overhead through an efficient variational optimization strategy. …”
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Simple Selection Index (SSI) Method in Electric Vehicle Selection for Logistics Companies by Hadi Hikmadyo Bisono, Ema Utami

“…With its more efficient process, the SSI method holds strong potential for application in fast and straightforward multi-criteria decision-making scenarios.…”
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