Spurious Additional Warming Reconstructed From Borehole Temperatures Corrected for the Effect of the Last Glacial Cycle by Jan Šafanda

“…Abstract Reconstructions of past ground surface temperature changes from temperature logs conducted in several hundred meter deep boreholes have proved to be a valuable independent source of information on climate variations over the last millennium. …”
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Calculation of electron-optical characteristics of a quadrupole-cylindrical field by A.O. Saulebekov, A.A. Trubitsyn, Zh.T. Kambarova

“…The most optimal scheme of a quadrupole-cylindrical mirror for energy analysis has been found. …”
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Detecting sub-instability before three Mw > 6.0 earthquakes on Chinese mainland in 2020–2022 with load/unload response ratio by Huaizhong Yu, Donghui Jia, Chieh-Hung Chen, Yue Liu, Haitao Wang, Jie Liu, Rui Yan, Binbin Zhao, Jianming Liu, Yuchuan Ma, Guihong Han, Wen Yang, Zhengyi Yuan, Zeping Li

“…We apply the Load/Unload Response Ratio (LURR) method to explore sub-instability in the source media before large earthquakes. …”
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Recent progress on the solid-state materials for photocatalysis by Laku Dorjee Tamang, Shivraj Gurung, Zosiamliana Renthlei, Celestine Lalengmawia, Bhanu Chettri, Jitendra Pal Singh, Amel Laref, Mukhriddin E. Tursunov, Avazbek T. Dekhkonov, D. P. Rai

“…Among these methods, photocatalysis is considered one of the best ways to produce hydrogen because of carbon-free and uses renewable sources of energy. …”
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Economic sizing and placement of hydrogen fueling and electric vehicles charging stations powered by renewable and battery systems in smart distribution network by Mehdi Veisi

“…Its goal is to minimize the sum of annual energy losses and operation costs within the grid, governed by linearized optimal power flow model. To account for uncertainties in demand, energy prices, renewable generation output, and refueling station performance, a stochastic optimization framework is employed. …”
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Blind super-resolution network based on local fuzzy discriminative loss for fabric data augmentation by Ning Dai, Xiaohan Hu, Kaixin Xu, Xudong Hu, Yanhong Yuan, Bo Cao, Luhong Shi

“…In the field of fabric defect detection, the development of algorithms has been hindered by issues such as poor quality and limited quantity of open-source datasets. Traditional data augmentation methods offer limited improvements in model performance, while generative data augmentation methods are plagued by difficulties in training generative models, susceptibility to artifacts, and the need for re-labeling. …”
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A robust multi-scale clustering framework for single-cell RNA-seq data analysis by Songrun Jiang, Chunyan Wang, Qiucheng Sun, Zhi Zhang

“…To address these challenges, we introduce a new method, single-cell Multi-Scale Clustering Framework (scMSCF), which combines multi-dimensional PCA for dimensionality reduction, K-means clustering, and a weighted ensemble meta-clustering approach, enhanced by a self-attention-driven Transformer model to optimize clustering performance. scMSCF constructs an initial clustering framework using a multi-layer dimensionality reduction strategy to establish a robust consensus on clustering structure. …”
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Comparative study of drying techniques on the anti-inflammatory content of bitter leaf simplicia (Vernonia amygdalina Del.) by Yulianida Tamala, Moh. Yani, Illah Sailah, Ernie Halimatushadyah, Trina Ekawati Tallei

“…The IC₅₀ values for the three drying methods were determined to be 25.33 ppm, 61.05 ppm, and 114.25 ppm, respectively. …”
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Streamlined gram-scale natural N-glycan production using reversible tagging after oxidative release of natural glycans by Qing Zhang, Yi Lasanajak, Menxin Yan, Golden Chen, Xuezheng Song

“…Treatment with Oxone quantitatively cleaves the tag, regenerating the free reducing N-glycans in high yield. This method provides an accessible, gram-scale source of complex N-glycans, including complex asymmetric structures that are challenging to synthesize through conventional chemoenzymatic approaches. …”
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Energy Management Considering Energy Storage and Demand Response for Smart Energy Hub in Internet of Things by Jinyong Lei, Changcheng Zhou, Xiaolin Li, Andi Huang, Hao Bai, Zhiyong Yuan, Linjie Zhou

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Design and Development of a Pine Needle Briquetting Machine for the Uttarakhand Region of India by Tejas Pramod Naik, Soumyajeet Jaiswal, Inderdeep Singh, Apurbba Kumar Sharma, Ayush Joshi

“…The primary materials utilized to make briquettes are pine needles and forest waste. The proposed method inculcates principles of compression molding along with necessary optimizations. …”
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Accelerated Storage Testing of Vacuum-Dried <i>Lactobacillus acidophilus TISTR 1338</i> for Feed by Apichet Muenaram, Bhundit Innawong, Imrana Niaz Sultan, Muhammad Waseem Khan, Hamza Ghilzai, Afrasiab Khan Tareen, Pramuk Parakulsuksatid

“…Molasses and spent cell yeast serve as promising carbon and nitrogen sources when optimized conditions are employed. The study also suggests that vacuum drying is a promising method for producing dried cells suitable for non-refrigerated storage conditions.…”
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DEVELOPMENT OF A TECHNIQUE FOR THE MASS-SPECTROMETRIC DETERMINATION OF GONADOTROPIN-RELEASING HORMONE AND ITS ANALOGS FOR DOPING CONTROL by K. M. Shestakova, G. A. Dudko, M. A. Dikunets

“…Various parameters affecting sample preparation, LC separation, and MS/MS detection were investigated, and optimized conditions were identified. The UPLC-MS/MS system was equipped with an electrospray ion source operating in positive ion mode with selected reaction monitoring. …”
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Carbon emission quantification analysis of excavation engineering under road transport conditions. by Bai Chongxi, Zhiheng Zhang

“…Based on the life cycle method and process analysis, this study analyzes carbon emissions in excavation engineering by optimizing the evaluation model for fuel consumption standards of freight vehicles during the transportation phase in China. …”
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Stability of feature selection algorithm: A review by Utkarsh Mahadeo Khaire, R. Dhanalakshmi

“…The high correlation in features frequently produces multiple equally optimal signatures, which makes traditional feature selection method unstable and thus leading to instability which reduces the confidence of selected features. …”
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Analytical description breaker drives and its indicators economy of energy conversion by Trubin A.S., Baranov Y.N.

“…The research results can be used in the development of a method for calculating the optimal parameters when designing a hydraulic hammer, and the obtained expressions can be used to establish the influence of some parameters on the efficiency of the energy conversion process as a whole, as well as for other schemes and tasks.…”
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Amplitude and Phase Calibration with the Aid of Beacons in Microwave Imaging Radiometry by Aperture Synthesis: Algebraic Aspects and Algorithmic Implications by Eric Anterrieu

“…This problem is overcome with the aid of a non-linear optimization algorithm for iteratively and smoothly unwrapping these phases. …”
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Determination of Phenolic Compounds from Lignin Decomposition Products in Marine Sediments by Ultra-High Performance Liquid Chromatography-High Resolution Mass Spectrometry by Jianbo YANG, Junhui CHEN, Xiuping HE, Jiuming WANG, Ming XIN, Xia SUN, Baodong WANG

“…Therefore, it is of great significance to develop a simple and reliable method for determination of phenolic compounds of the lignin decomposition products in marine sediments to explore the source of organic matter and understand the environmental evolution process.OBJECTIVESTo establish a simple and reliable method for the determination of phenolic compounds of lignin decomposition products in marine sediments using solid phase extraction (SPE) combined with ultra-high performance liquid chromatography-high resolution mass spectrometry, and to trace the content level and source of lignin in the sediments of Laizhou Bay in China.METHODSMarine sediment samples were first decomposed with oxidative-alkaline CuO and extracted by solid phase extraction. …”
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Smart Attention (SAB-LSTM): A Revolutionary Model for Advanced Solar Energy Forecasting by Aljafari Belqasem, Babu Thanikanti Sudhakar

“…Solar power forecasting has a significant relevance to the optimization of energy management and to maintaining the reliability of the power systems against the growing use of renewable sources of energy globally. …”
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An improved hybrid approach involving deep learning for urban greening tree species classification with Pléiades Neo 4 imagery—A case study from Nanjing, Eastern China by Min Sun, Stephane G.P. Debulois, Zhengnan Zhang, Xiaolei Cui, Zhili Chen, Mingshi Li

“…We compared deep learning (DL)-based shadow detection methods with classical index methods in urban green spaces to identify shaded vegetation areas, with the optimal method being selected for subsequent use. …”
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