Profiles of immune infiltration in colorectal cancer and their clinical significant: A gene expression‐based study by Yongfu Xiong, Kang Wang, He Zhou, Linglong Peng, Wenxian You, Zhongxue Fu

“…Collectively, our data suggest that subtle differences in the cellular composition of the immune infiltrate in CRC appear to exist, and these differences are likely to be important determinants of both prognosis and response to treatment.…”
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WISP: Workframe for Interferogram Signal Phase-Unwrapping by Timofey F. Khirianov, Aleksandra I. Khirianova, Egor V. Parkevich, Ilya Makarov

“…Iterations continue until the difference between the reconstructed and experimental phase distributions reaches an asymptotic minimum. …”
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Predicting Ship Waiting Times Using Machine Learning for Enhanced Port Operations by Min-Hwa Choi, Woongchang Yoon

“…ANOVA tests confirm numerous differences in model performance and computational complexity. …”
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Energy efficiency of heating equipment and resources in the implementation and adaption of lean manufacturing tools LLC TATNEFT-AZS center by L. R. Mukhametova, I. G. Akhmetova, D. A. Zaripova, A. R. Nurislamova

“…Describe the essence of the technology, consider the problems, the complexity of implementation and propose an algorithm for introducing the technology and involving each employee in the process of optimizing the business and maximizing customer focus. …”
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Fatigue Damage Assessment of a Metro Vehicle Bogie Frame Based on Measured Field Load by Yangmin Wu, Zunsong Ren

“…The load spectrum calibration coefficient was obtained via multi-objective optimization through a genetic algorithm. The results showed that the damage calculated using the calibrated load agreed well with the real damage, and the ratio of the equivalent stress amplitude between the two was in the range of 1–2. …”
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AI-Powered Eye Tracking for Bias Detection in Online Course Reviews: A Udemy Case Study by Hedda Martina Šola, Fayyaz Hussain Qureshi, Sarwar Khawaja

“…In a pioneering approach, we employed AI-powered eye tracking to evaluate the accuracy of predictions in forecasting purchasing patterns. …”
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Impulse oscillometry in the diagnosis of obstructive ventilation disorders in pulmonary tuberculosis patients by L. D. Kiryukhina, O. S. Volodich, N. V. Denisova, N. G. Nefedova, S. A. Kovaleva, L. I. Аrchakova

“…The classical interpretation algorithm was used and 2 groups were distinguished: 218 patients with obstructive disorders, and 90 patients without ventilation disorders. …”
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Unilateral versus bilateral pedicle screw fixation in lumbar fusion: A systematic review of overlapping meta-analyses. by Yachao Zhao, Sidong Yang, Wenyuan Ding

“…Then, the Jadad decision algorithm was applied to select the highest-quality study to represent the current best evidence.…”
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A Comparison Between the Use of an Infrared Contact Mat and an IMU During Kinematic Analysis of Horizontal Jumps by Bjørn Johansen, Jono Neville, Roland van den Tillaar

“…Background/Objectives: This study compared step-by-step kinematic measurements from an infrared contact mat (IR-mat) and an inertial measurement unit (IMU) system during bounding and single leg jumping for speed, while also evaluating the validity of algorithms originally developed for sprinting and running when applied to horizontal jumps. …”
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Multi-modal radiomics features to predict overall survival of locally advanced esophageal cancer after definitive chemoradiotherapy by Nuo Yu, Yidong Wan, Lijing Zuo, Ying Cao, Dong Qu, Wenyang Liu, Lei Deng, Tao Zhang, Wenqing Wang, Jianyang Wang, Jima Lv, Zefen Xiao, Qinfu Feng, Zongmei Zhou, Nan Bi, Tianye Niu, Xin Wang

“…The least absolute shrinkage and selection operator (LASSO) for COX algorithm was used to obtain features highly correlated with survival outcomes in the training cohort. …”
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Recent Trends in the Quality Module of Sustainable Water Management Models-A Systematic Review by C. Subashini, Suseela Sellamuthu

“…Additionally, it suggests methods to reduce water pollution and enhance the quality of various water resources including lakes, rivers, groundwater. It also evaluates different models that provide insights into natural disasters (for instance, GIS offers data on water levels in different areas, which can help prevent floods and droughts in real-time scenarios). …”
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Continual Learning With Neuromorphic Computing: Foundations, Methods, and Emerging Applications by Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad, Osman Hasan, Muhammad Shafique

“…., sparse spike-driven operations and bio-plausible learning rules) for improving energy efficiency and performance, thereby enabling efficient CL algorithms (e.g., unsupervised learning approach) executed in dynamically-changed environments with resource-constrained computing systems. …”
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A Convolutional Neural Network Tool for Early Diagnosis and Precision Surgery in Endometriosis-Associated Ovarian Cancer by Christian Macis, Miriam Santoro, Vladislav Zybin, Stella Di Costanzo, Camelia Alexandra Coada, Giulia Dondi, Pierandrea De Iaco, Anna Myriam Perrone, Lidia Strigari

“…Furthermore, the performance of each hybrid model and the majority voting ensemble of the three competing ML models were evaluated using trained and refined hybrid CNN models combined with Support Vector Machine (SVM) algorithms, with the best-performing model selected as the benchmark. …”
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Tomografía geoeléctrica: dos ejemplos en la Sabana de Bogotá by Briceno Guarupe Luis Alberto, Sanín Camilo Ernesto

“…<p class="MsoNormal" style="margin-bottom: 0.0001pt;"><span style="font-size: 12.0pt; font-family: ";Arial";,";sans-serif";; mso-ansi-language: EN-US;" lang="EN-US">With the new technologies about math algorithms and software interpretation to solve the inverse problem, two examples of electric tomography were done in two different places and over quaternary deposits that correspond to Sabana de Bogota. …”
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Detection, Parameter Estimation and Direction Finding of Periodic Pulse Signals by V. B. Manelis, I. S. Faustov, V. A. Kozmin

“…A significant gain in the noise immunity of direction finding was achieved in comparison with the standard phase difference algorithm. The parameters of a periodic pulse signal evaluated using the developed algorithms can be used for source identification.…”
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Time-Frequency Transformation Technique with Various Mother Wavelets for DC Fault Analysis in HVDC Transmission Systems by Hasnain Raza chandio, Aslam Pervez Memon

“…Heavy current is generated by DC faults in HVDC (T/L), hence it is necessary to treat DC line faults in short, medium, and long HVDC (T/L) systems with different fault resistance. It is crucial to research fault detection methods based on time-frequency analysis by choosing appropriate algorithms using various (MW) methodologies for short, medium, and long HVDC transmissions at various fault resistances in order to protect the HVDC system. …”
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Intelligent UAV health monitoring: Detecting propeller and structural faults with MEMS-based vibration by Temel Sonmezocak

“…For fault detection, the performance of Support Vector Machine (SVM), K-Nearest Neighbour (KNN), Decision Tree (DT), and Neural Network (NN) algorithms was evaluated. The model achieved a maximum accuracy of 99.40 % in detecting the severity of propeller damage. …”
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The inconvenient truth of ground truth errors in automotive datasets and DNN-based detection by Pak Hung Chan, Boda Li, Gabriele Baris, Qasim Sadiq, Valentina Donzella

“…Assisted and automated driving functions will rely on machine learning algorithms, given their ability to cope with real-world variations, e.g. vehicles of different shapes, positions, colors, and so forth. …”
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A Correlational Study on Architectural Design and Thermal Distribution Patterns Using a Novel Multi-Terminal Approach in Cylindrical Li-Ion Cell-Integrated Battery Packs by Sagar D, Raja Ramar, Shama Ravichandran

“…This approach features a multi-terminal configuration, incorporating a modified battery pack structure along with a multi-terminal switching algorithm that identifies the optimal terminal for current flow to the load. …”
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Interchangeability of hunts as a factor of sustainability of hunting use by S. P. Matveytchuk, I. A. Grebnev

“…A comparison of hunts close in formal characteristics was made, their significant differences were revealed. It is noted that comparisons can be made for many hunts, and their quantitative and qualitative differences will be more significant. …”
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