Unlocking the Potential of <i>Lacticaseibacillus rhamnosus</i> 73 as a Ripening Agent in Semi-Hard Cheese After Freeze-Drying and a Six-Month Storage Period by Mara E. Batistela, Carina V. Bergamini, Elisa C. Ale, Guillermo H. Peralta

“…Neither the freeze-drying process nor the storage conditions negatively affected its viability, as L73 maintained its initially high levels (>10 log cfu mL⁻¹) throughout the storage period. …”
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A Novel Variable-Order Threshold Serial Belief Propagation-Based Decoding Algorithm for LT Codes by Weibai Sun, Shuyan Ni, Tuofeng Lei, Rui Yang

“…However, the conventional log-likelihood ratio BP (LLR-BP) decoder exhibits inherent limitations in additive white Gaussian noise (AWGN) channels. …”
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The Distribution of Dissolved Copper and Natural Organic Ligands in Tropical Coastal Waters Under Seasonal Variation by Li Qing Ng, Khairul Nizam Mohamed, Abd Muhaimin Amiruddin, Ferdaus Mohamat Yusuff, Nur Ili Hamizah Mustaffa

“…The natural organic copper(II)-binding ligands (CuL) and their conditional stability constants (log <i>K</i>′) were determined by using the competitive ligand exchange–adsorptive cathodic stripping voltammetry method (CLE–AdCSV) in our samples. …”
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Biogenic Functionalized ZnO/CuO Nanocomposite Sensor for Potentiometric Determination of Pseudoephedrine-HCl in Pure and Commercial Products by Fadam M. Abdoon, Sarhan A. Salman, Hasan M. Hasan, Suham T. Ameen, Maha F. El-Tohamy

“…It was estimated that the regression equation was represented by the EmV = (-58.143) log [PSD] + 526.71. With the proposed sensors, pseudoephedrine hydrochloride could be effectively determined in pure and commercial product forms. …”
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A software pipeline for systematizing machine learning of speech data by Jimuel Celeste, Mashrura Tasnim, Amable J. Valdés Cuervo, Enrique A. de la Cal, Eleni Stroulia

“…The reproducibility and replicability of experimental findings is an essential element of the scientific process. The machine-learning community has a long-established practice of sharing data sets so that researchers can report the performance of their models on the same data. …”
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Rock fracture type recognition based on deep feature learning of microseismic signals by LI Dianze, XU Huajie, ZHANG Bo

“…These signals were then processed to construct a microseismic signal aggregation (MSA) spectrogram, which integrated time-frequency spectrograms, log-Mel spectrograms, and Mel-frequency cepstral coefficients. …”
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Serum metabolite levels identify incipient metastatic progression of rectal cancer by Kine M. Bakke, Paula A. Bousquet, Sebastian Meltzer, Tonje Bjørnetrø, Frode Rise, Alistair L. Wilkins, Kathrine Røe Redalen, Anne Hansen Ree

“…Abstract Background The cellular metabolism undergoes reprogramming during the metastatic process. We hypothesised that serum metabolites at the time of primary tumour diagnosis might identify rectal cancer patients prone to metastatic progression. …”
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Strength and Microscopic Damage Mechanism of Yellow Sandstone with Holes under Freezing and Thawing by Huren Rong, Jingyu Gu, Miren Rong, Hong Liu, Jiayao Zhang, Hao Dong

“…The damage equation of the yellow sandstone with pores under the freezing and thawing is a log-power function nonlinear change law and presents a good correlation.…”
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Geostatistics and Artificial Intelligence Applications for Spatial Evaluation of Bearing Capacity after Dynamic Compaction by Rodney Ewusi-Wilson, Junghee Park, Boyoung Yoon, Changho Lee

“…This study uses the data obtained from a total of 42 borehole logs with an average depth of 17 m and testing depth intervals of 1.5 m after dynamic compaction and 26 SPT-N log data before dynamic compaction. …”
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Geomechanical modeling and wellbore stability analysis for studying the shale rock failure by Ahmed Faris Noori, Farqad Hadi

“…In this study, the model was applied to two specific wells (ZB-A and ZB-B) to perform a wellbore stability assessment utilizing available well log data, which includes parameters such as bit size (BS), caliber (CAL), shear sonic logs (DTS), compressional sonic logs (DTC), and gamma ray (GR) logs. …”
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Optimization of Disinfection of Raw Wheat Sprout by Combination of Ultrasonic and Citric Acid Using Response Surface Methodology (RSM) by Maryam Safarirad, Fatemeh Hemmati, Sara Jafari, Enayat Berizi, Azam Abbasi

“…The combined US–CA treatment significantly reduced microbial loads, achieving reductions of 4.92, 2.58, and 1.26 log CFU/g for coliforms, molds and yeasts, and total microbial count, respectively. …”
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Analysis of convergence trends and driving factors of environmental efficiency of pig farming in China by Jingjing Wang, Chang'e Zhao, Silin Chen

“…In addition, improving the quality of the labor force can help the environmental efficiency of pig farming converge to a high-level club.DiscussionWe propose suggestions aimed at enhancing the efficiency of pig farming, promoting the scale processes of pig farming, and strengthening regional cooperation.…”
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Laboratory studies of the impact of a roller sorting machine on potato tubers by A. S. Dorokhov, A. V. Sibirеv, A. G. Aksenov, N V. Sazonov

“…In order to determine the place of the greatest force impact of the working bodies of the sorting machines on the potato tuber and to carry out subsequent measures to eliminate negative effects in the design of these machines, laboratory studies were carried out using the "The TuberLog Electronic Potato" software tool. The article provides the results of comparative studies of the force impact of the sorting surface on the electronic potato tuber at various values of the forward speed of movement and interaction time of the working surface of roller-type machine for sorting potato tubers. …”
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Dietary caffeine and its negative link to serum Klotho concentrations: evidence from the National Health and Nutrition Examination Survey by Haimeng Wu, Ping Lu

“…Additional studies are required to verify these results and investigate the underlying biological processes involved.…”
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A Predictive Approach for Enhancing Accuracy in Remote Robotic Surgery Using Informer Model by Muhammad Hanif Lashari, Shakil Ahmed, Wafa Batayneh, Ashfaq Khokhar

“…The method integrates the optimization problem into the Informer model by embedding constraints such as energy efficiency, smoothness, and robustness into its training process using a differentiable optimization layer. …”
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EMVAS: end-to-end multimodal emotion visualization analysis system by Xianxun Zhu, Heyang Feng, Erik Cambria, Yao Huang, Ming Ju, Haochen Yuan, Rui Wang

“…For feature extraction, facial landmark detection and action unit analysis capture fine-grained visual cues; Mel-frequency cepstral coefficients, log-scaled fundamental frequency, and Constant-Q transform extract detailed audio features; and a Transformer-based encoder processes textual data for contextual emotion analysis. …”
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Design and analysis of intelligent service chain system for network security resource pool by Zenan WANG, Jiahao LI, Chaohong TAN, Dechang PI

“…The traditional network security architecture ensures network security by directing traffic through hardware based network security function devices.Since the architecture consists of fixed hardware devices, it leads to a single form of network security area deployment and poor scalability.Besides, the architecture cannot be flexibly adjusted when facing network security events, making it difficult to meet the security needs of future networks.The intelligent service chain system for network security resource pool was based on software-defined network and network function virtualization technologies, which can effectively solve the above problems.Network security functions of virtual form were added based on network function virtualization technology, combined with the existing hardware network elements to build a network security resource pool.In addition, the switching equipment connected to the network security elements can be flexibly controlled based on software-defined network technology.Then a dynamically adjustable network security service chain was built.Network security events were detected based on security log detection and a expert library consisting of security rules.This enabled dynamic and intelligent regulation of the service chain by means of centralized control in the face of network security events.The deployment process of the service chain was mathematically modeled and a heuristic algorithm was designed to realize the optimal deployment of the service chain.By building a prototype system and conducting experiments, the results show that the designed system can detect security events in seconds and automatically adjust the security service chain in minutes when facing security events, and the designed heuristic algorithm can reduce the occupation of virtual resources by 65%.The proposed system is expected to be applied to the network security area at the exit of the campus and data center network, simplifying the operation and maintenance of this area and improving the deployment flexibility of this area.…”
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New Mellin-Based Estimation and GoF Criteria for the Beta-Weibull Model by J.M. Vasconcelos, R. J. Cintra, A. D. C. Nascimento

“…In this paper, we propose a new estimation method based on log-cumulant (LC) expressions for the beta-Weibull (BW) distribution, an important beta-G model. …”
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Predictive Framework for Sustainable Engineering through Machine Learning and Cross-Sector Collaboration by Choudhary Abhik, Adhikari Upasana, Roy Dipankar, Gupta Subir, Roy Priyanka, Bhaduri Aparna

“…Harvested public data was normalized, encoded, and pre-processed class balances using SMOTE. An Extra Trees Classifier was trained to perform binary classification of project success deemed as primary indicators, evaluating performance through accuracy, precision, recall, F1 score, log loss, and MSE. …”
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LOSS OF HETEROZYGOSITY IN THE BRCA1 AND BRCA2 LOCUS IN BREAST CANCER by M. M. Tsyganov, M. K. Ibragimova, A. M. Pevzner, N. V. Litviakov

“…The 5-year non-metastatic survival rates were 75 % and 100 % in patients with LOH in the BRCA1 and BRCA2 genes, respectively (log-rank test: p=0.003 and p=0.05, respectively).Conclusion. …”
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