A Data-Driven Analysis of Engineering Contract Risk Characterization Based on Judicial Cases of Disputes by Yongcheng Zhang, Ziyi Wu, Chaohua Xiong, Jianwei Wang, Maxwell Fordjour Antwi-Afari

“…The research identifies contractual risk characteristics across dimensions such as regional distribution, dispute terminology, legal citation patterns, and appellate role transitions. The key findings include the following: (1) Primary risks involve payment disputes, quality assurance failures, contractual validity issues, and schedule compliance challenges. (2) Litigation patterns reveal complex interdependencies between contracting parties and stakeholders, posing significant risk management challenges. (3) High second-instance modification rates stem from procedural irregularities, new evidence, improper legal application, and factual errors in initial trials. …”
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Improving the prediction of bitumen’s density and thermal expansion by optimizing artificial neural networks with Optuna and TensorFlow by Eli I. Assaf, Xueyan Liu, Sandra Erkens

“…Using Optuna for hyperparameter optimization, we ensure that the information extracted from MD simulations is utilized effectively.The resulting ANN models accurately reproduce MD-predicted densities, achieving R2>0.99, MSEs below 0.1 %, and maximum absolute errors below 5 % on test data. In addition to reducing computational cost, the models exhibit improved interpolation and extrapolation capabilities, enabling reliable predictions for properties, ranges, and compositions not explicitly simulated.Key aspects of our approach include: • Transitioning from RFRs to ANNs, improving generalization, interpolation, and predictive accuracy. • Automated hyperparameter optimization, leveraging Optuna to maximize model efficiency. • Expanding applicability, enabling property prediction for unseen compositions without additional MD simulations.…”
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Write Precisely by Shahul Ameen

“…Hedging (e.g., probably) and transitions (e.g., however) help clarity – do not avoid them to save word count. …”
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Domestic, Not Private: Feminine Proposals for Carabanchel PAU Expansion, Madrid, Spain by Ángel Cordero Ampuero, Paula Ruiz Usero, Marta Muñoz Martín

“…The results provide optimistic data for the discipline and its capacity, through this type of sensitivity, to correct some of the errors in the system of production of public space.…”
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Deep neural networks have an inbuilt Occam’s razor by Chris Mingard, Henry Rees, Guillermo Valle-Pérez, Ard A. Louis

“…The prior over functions is determined by the network architecture, which we vary by exploiting a transition between ordered and chaotic regimes. For Boolean function classification, we approximate the likelihood using the error spectrum of functions on data. …”
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Anti-Crisis Business Regulation in Russia: New Stage by A.  N. Ryakhovskaya

“…The article regards the error actions of the state during the transition to the market economy including deindustrialization, privatization of the public property, etc., and their economic impact on the market economy agents and population. …”
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An ultrafast algorithm for ultrafast time-resolved coherent Raman spectroscopy by Francesco Mazza, Dirk van den Bekerom

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Finite-Time H∞ Filtering for Discrete-Time Singular Markovian Jump Systems with Time Delay and Input Saturation by Wei Guan, Lei Fu, Yuechao Ma

“…The systems under consideration consist of time-varying delay, actuator saturation and partly unknown transition probabilities. We pay attention to the design of a H∞ filtering which ensures the filtering error systems to be singular stochastic finite-time boundedness. …”
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Parametric influences of a modified fractional Van der Pol oscillator under Gaussian colored noise by Yajie Li, Zhiqiang Wu, Yongtao Sun, Ying Hao

“…Firstly, according to the minimal mean square error concept and the generalized harmonic balance technique, the fractional derivative term can be expressed as a linear combination of the damping force and restoring force. …”
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A big data framework for short-term power load forecasting using heterogenous data by Haibo ZHAO, Zhijun XIANG, Linsong XIAO

“…The power system is in a transition towards a more intelligent, flexible and interactive system with higher penetration of renewable energy generation, load forecasting, especially short-term load forecasting for individual electric customers plays an increasingly essential role in future grid planning and operation.A big data framework for short-term power load forcasting using heterogenous was proposed, which collected the data from smart meters and weather forecast, pre-processed and loaded it into a NoSQL database that was capable to store and further processing large volumes of heterogeneous data.Then, a long short-term memory (LSTM) recurrent neural network was designed and implemented to determine the load profiles and forecast the electricity consumption for the residential community for the next 24 hours.The proposed framework was tested with a publicly available smart meter dataset of a residential community, of which LSTM’s performance was compared with two benchmark algorithms in terms of root mean square error and mean absolute percentage error, and its validity has been verified.…”
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Precision evaluation criteria for simulation algorithms in infinite systems: A network model-based approach by Yonglong Ding

“…The network architecture enables precise prediction of the phase transition point in the two-dimensional Ising model with 98.4% accuracy.…”
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Genetic and environmental contributions to epigenetic aging across adolescence and young adulthood by Dmitry V. Kuznetsov, Yixuan Liu, Alicia M. Schowe, Darina Czamara, Jana Instinske, Charlotte K. L. Pahnke, Markus M. Nöthen, Frank M. Spinath, Elisabeth B. Binder, Martin Diewald, Andreas J. Forstner, Christian Kandler, Bastian Mönkediek

“…Their scores reflect a combination of inherent biological programming and the impact of environmental factors, which are suggested to vary at different life stages. The transition from adolescence to adulthood is an important period in this regard, marked by an increasing and, then, stabilizing epigenetic aging variance. …”
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Evaluation of Autonomous Vehicle Takeover Performance in Work-Zone Environment by Viktor Nagy, Diovane Mateus da Luz, Ágoston Pál Sándor, Attila Borsos

“…Despite their potential to improve traffic safety by reducing human error, their integration into existing transportation systems presents significant challenges. …”
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Fluid Flow Simulation for Predicting Bottomhole Pressure That Considers Wellbore Storage Effects Under Shut-In Conditions in Deepwater Drilling by Yanli Guo, Yonghai Gao, Qingtao Gong, Lifen Hu, Yongyi Jiang, Baojiang Sun

“…The calculated values show good agreement with experimental values, with the average absolute and relative errors of 2.095 × 10⁻² MPa and 3.71%, respectively. …”
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Modeling dynamic and static operating modes of a low-power asynchronous electric drive by Viktor Lyshuk, Sergiy Moroz, Yosyp Selepyna, Valentyn Zablotskyi, Mykola Yevsiuk, Viktor Satsyk, Anatolii Tkachuk

“…The model accounts for the electromagnetic interactions of the motor’s electrical circuits and their nonlinearity, enabling the simulation of electromagnetic and electromechanical processes. Transitional operating modes of the asynchronous motor have been modeled and analyzed. …”
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Applying Deep Learning Methods for a Large-Scale Riparian Vegetation Classification from High-Resolution Multimodal Aerial Remote Sensing Data by Marcel Reinhardt, Edvinas Rommel, Maike Heuner, Björn Baschek

“…(II) At the Rhine River, a lower mean IoU was reached due to the limited amount of training data and labelling errors. Applying transfer learning methods and labelling error correction increased the mean IoU to about 60%. …”
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Multifractal Carbon Market Price Forecasting with Memory-Guided Adversarial Network by Na Li, Mingzhu Tang, Jingwen Deng, Liran Wei, Xinpeng Zhou

“…Carbon market price prediction is critical for stabilizing markets and advancing low-carbon transitions, where capturing multifractal dynamics is essential. …”
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Mutational signature analyses in multi-child families reveal sources of age-related increases in human germline mutations by Habiballah Shojaeisaadi, Andrew Schoenrock, Matthew J. Meier, Andrew Williams, Jill M. Norris, Nicholette D. Palmer, Carole L. Yauk, Francesco Marchetti

“…Children of older fathers showed more C > T transitions at CpG sites than children from younger fathers. …”
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A novel end-to-end learning framework for inferring lncRNA-disease associations based on convolution neural network by Shunxian Zhou, Sisi Chen, Jinhai Le, Yangtai Xu, Lei Wang

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Development and laboratory evaluation of a novel IoT-based electric-driven metering system for high precision garlic planter. by Abdallah Elshawadfy Elwakeel, Ahmed Elbeltagi, Ahmed Z Dewidar, Ali Salem, Mohamed Anwer Abdeen

“…Furthermore, the results indicated a progressive increase in the QR and MQ standard errors as the EDMS's operating velocity increased. …”
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