Toward precision oncology in LUAD: a prognostic model using single-cell sequencing and WGCNA based on a disulfidptosis relative gene signature by Panpan Li, Han Zhang, Limin Sun, Xiaojuan Wu

“…Immune response characteristics and functional enrichment patterns were further evaluated in these cohorts.ResultsOur study delved into disulfidptosis in LUAD through a series of analyses: scRNA-seq data processing, WGCNA analysis, construction of a prognostic model, evaluation of clinical features and risk, enrichment analysis, mutation landscape assessment, and examination of the tumor microenvironment. …”
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A stacked generalization approach for day ahead hourly photovoltaic power forecasting by Fatema Islam Tania, Pinki Rani, Tofael Ahmed, Shameem Ahmad

“…The outputs of these models are used as new features in validation data that function as training data for the ETR meta-model. …”
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Mathematical Modeling and Statistical Evaluation of the Security–Performance Trade-Off in IoT Cloud Architectures: A Case Study of UBT Smart City by Besnik Qehaja, Edmond Hajrizi, Behar Haxhismajli, Lavdim Menxhiqi, Galia Marinova, Elissa Mollakuqe

“…We propose a mathematical framework to evaluate the propagation delay of telemetry data through the system and employ queueing theory (M/M/1 model) to simulate the behavior of critical data processing services. …”
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ON THE SAFETY OF CONTRAST MEDIA USAGE DURING CORONARY ANGIOPLASTY IN KIDNEY TRANSPLANT RECIPIENTS by I. G. Ryadovoy, N. A. Tomilina, V. V. Chestuhin, I. G. Kim, A. B. Mironkov

“…Results are based on clinical and angiographic data, the analysis of amount of contrast media, average speed of it introduction, level of creatinine before and at the first 48 hours after coronary angioplasty in 42 patients with renal transplant.…”
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Advancing forest mapping: Pretraining strategies and deep-ensemble based uncertainty for predicting evergreen broad-leaved cover from Sentinel-2 time series by Benedikt Hiebl, Nicola Alessi, Giacomo Calvia, Alessandro Bricca, Gianmaria Bonari, Giulio Zangari, Wouter Dorigo, Stefan Zerbe, Martin Rutzinger

“…Remote sensing time series provide valuable data for vegetation analysis, yet functional-level mapping in mixed forests remains challenging due to limited observation data. …”
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What is the Role of Medical Informatics in Digital Healthcare? by Mihai TĂRÂŢĂ

“… • 1981 – Research on fuzzy sets for automated diagnostic approximation (National Symposium on Functional Analysis and Applications, Craiova). • 1985-1987 – Creation of a non-invasive system for recording late electrocardiographic and His potentials, making our lab the 7th in the world to achieve this noninvasively, in real-time…”
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Superparamagnetic Clustering of Diabetes Patients Raman Spectra by J. L. González-Solís, L. A. Torres-González, J. R. Villafán-Bernal

“…This clustering method is known as the super paramagnetic clustering (SPC), which allows identifying hierarchical structures in data banks. In this novel method, we assigned a Potts spin to each data point (Raman spectrum) and introduced an interaction between neighboring points whose coupling strength is a decreasing function of the distance between the nearest neighboring sites. …”
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Decoding chromosomal instability insights in CRC by integrating omics and patient-derived organoids by Federica Papaccio, Manuel Cabeza-Segura, Blanca García-Micó, Francisco Gimeno-Valiente, Sheila Zúñiga-Trejos, Valentina Gambardella, María Fernanda Gutiérrez‐Bravo, Carolina Martinez‐Ciarpaglini, Pilar Rentero‐Garrido, Tania Fleitas, Susana Roselló, Juan Antonio Carbonell-Asins, Marisol Huerta, David Moro-Valdezate, Desamparados Roda, Noelia Tarazona, Manuel M. Sánchez del Pino, Andrés Cervantes, Josefa Castillo

“…We integrated the RNA-seq and mass spectrometry-based proteomics data from PDOs in a functional interaction network to identify the significantly dysregulated processes in CIN. …”
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Do user-generated content and micro-celebrity posts encourage generation Z users to search online shopping behavior on social networking sites—the moderating role of sponsored ads... by Sabakun Naher Shetu

“…In addition, the mediator function of the user’s search intent is investigated. …”
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ADVANCED COMPUTATIONALMETHODS FOR COMPLEX SIMULATION OF THERMAL PROCESSES IN POWER ENGINEERING by Risto V. Filkoski, Ilija J. Petrovski

“…Coal combustion is modelled by the mixture fraction/probability density function approach for the reaction chemistry, with equilibrium assumption applied for description of the system chemistry. …”
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Multi-ciphertext batch auditable decryption outsourcing SM9-HIBE key encapsulation mechanism by Kuan LIU, Jianting NING, Wei WU, Shengmin XU, Chao LIN

“…The decryption operation of SM9-HIBE key encapsulation mechanism required two bilinear pairing operations, for the equipment requiring frequent decryption of massive data and with limited computing resources, such resourcing-consuming pairing operation will become an important bottleneck restricting the system deployment.To address the above issue, a decryption outsourcing key encapsulation mechanism OASM9-HIBE based on SM9-HIBE was proposed, which supported multi-ciphertext batch auditing.The Fujisaki-Okamoto transformation technology was utilized to prove the RCCA security of OASM9-HIBE under the random oracle model.All resourcing-consuming bilinear pairing operations were safely offloaded to the cloud server in OASM9-HIBE, the k-th hierarchical user only need to perform one simple exponentiation operation to complete the final decryption.The decryption efficiency of the original SM9-HIBE was effectively improved under the premise of not changing the downward proxy generation function of the user’s private key between hierarchical.OASM9-HIBE additively achieved the property of batch auditing of multi-transformed ciphertexts by employing the key blinding technology.Theoretical analysis and evaluation of experimental data highlight the feasibility and efficiency of OASM9-HIBE, OASM9-HIBE extends the application field of SM9 series algorithms.…”
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A secure and efficient authentication scheme for vehicle to grid in smart grid by Nan Xiao, Zhaoshun Wang, Xiaoxue Sun

“…The scheme validates vehicle user identities and leverages chebyshev chaotic maps along with hash function to enable V2G communication. It ensures both data integrity and user privacy during transmission, addressing key security concerns in V2G. …”
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Ambient noise levels of seismic stations located in urban agglomerations in central Inner Mongolia, China. by Wenchao Bao, Quan An, Ye Guo, Lujun Wang, Jianxin Gao

“…Analysis of the continuous ambient noise data collected by a dense network of broadband seismic stations reveals the characteristics of ambient noise in densely populated urban areas. …”
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Simple Correlation to Evaluate Mohr-Coulomb Failure Criterion Using Uniaxial Compressive Strength by Musaed N.J. Al-Awad

“…For example, a Mohr-Coulomb failure criterion may be used for borehole instability analysis, water injection design, production optimization techniques, compaction and sand production prediction, etc.A Mohr-Coulomb failure criterion is a function of the apparent cohesion (τ0) and the angle of internal friction (φ). …”
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Towards More Reliable Measures for “Perceived Urban Diversity” Using Point of Interest (POI) and Geo-Tagged Photos by Zongze He, Xiang Zhang

“…In this study, we use urban function (from POI) and visual semantics (from geo-tagged photos) to estimate what we call “perceived urban diversity”. …”
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Multi-objective Optimization of the Mobile Garbage Compression<italic>'</italic>s Turnover Mechanism by Wen Hong, Wang Huqi, Liang Guangming, Zhang Yanqing

“…On this basis, through further analysis of simulation data, the maximum load and minimum transmission angle of hinge point <italic>A</italic> and <italic>C</italic> of the tilting mechanism are determined as the optimization objectives. …”
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Computational Algorithms for Representing Aircraft Instruments with Barometric Physics (Numerical Methods Applied to Flight Simulation) by Adan Ramirez-Lopez

“…Finally, an approach analysis as a function of the step time (Δt) used for calculation of the aircraft displacement to evaluate the efficiency of the numerical method integrated in the simulator is also described. …”
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Assessing Locomotive Syndrome Through Instrumented Five-Time Sit-to-Stand Test and Machine Learning by Iman Hosseini, Maryam Ghahramani

“…Remarkably, the multilayer perceptron (MLP) model demonstrated superior performance. Following data augmentation and principal component analysis (PCA), the MLP+PCA model achieved an accuracy of 0.9, a precision of 0.92, a recall of 0.9, and an F1 score of 0.91. …”
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Disentangling signal and noise in neural responses through generative modeling. by Kendrick Kay, Jacob S Prince, Thomas Gebhart, Greta Tuckute, Jingyang Zhou, Thomas Naselaris, Heiko H Schütt

“…We also demonstrate the application of GSN to empirical fMRI data to illustrate a simple consequence of GSN: by disentangling signal and noise components in neural responses, GSN denoises principal components analysis and improves estimates of dimensionality. …”
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Nonlinear Viscoelastic-Plastic Creep Model of Rock Based on Fractional Calculus by Erjian Wei, Bin Hu, Jing Li, Kai Cui, Zhen Zhang, Aneng Cui, Liyao Ma

“…By using a user-defined function fitting tool of the Origin software and the Levenberg–Marquardt optimization algorithm, the creep test data are fitted and compared. …”
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