Design of Encoding Algorithm for Underwater Wireless Optical Communication Based on Spinal Code by Xiaoyang Yu, Min Yu, Yun Zhou, Tianwei Chen

“…This paper presents the Superposition UEP-Spinal Code structure, which utilizes unequal error protection (UEP) to adjust the transmission performance of different types of information in underwater composite data communication by adjusting the superposition weighting factors in the encoding algorithm. …”
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Petrogenetic evidences in geodynamics and placement of Nordoz intrusive masses in Alborz-Azerbaijan structural zone by Shahryar Mahmoudi, Shiva Lavi, Shohreh Hassanpour, Amir Ali Tabakh Shabani, Mehran Yegane Far

“…The fluid phase, in conjunction with the temperature increase resulting from the intrusion of the basic magma into this region of the crust, has led to the melting of a portion of the underlying crust and the formation of magma with a granodiorite and calc-alkaline composition. The evidence supporting the retreat of the subduction slab and extensional tectonics in Alborz, as presented in previous studies, can be attributed to a decrease in the rate of subduction in the Eocene. …”
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Rapid identification of the authenticity of iron rod yam by in-situ mass spectrometry based on random forest algorithm by ZHONG Hengyan, CHEN Chun, OUYANG Yongzhong, ZHOU Lin, GUO Weiqing

“…ObjectiveTo establish a fast and nondestructive analysis method for identifying iron rod yam.MethodsAtmospheric pressure chemical ionization mass spectrometry (APCI-MS) was employed to detect the chemical constituents of iron rod yam(TG) and non-iron rod yam (FTG) from different origins under ambient temperature and pressure, With 200 sets of data collected from each type of TG and FTG, and a total of 3 600 mass spectrometry data points were obtained. …”
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Sequential testing of complementary hypotheses about population density by Diego F. Rincon, Izzy McCabe, David W. Crowder

“…We overcame this limitation by using Bayes' theorem to sequentially update the posterior probability of a tested hypothesis against its complementary as data is collected. The new test can explicitly consider simple or composite hypotheses about static or dynamic population densities and process either purely sequential (one‐at‐a‐time) or group sequential data to produce a trajectory of posterior probabilities related to the tested hypothesis. …”
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Ta'u and Ofu/Olosega volcanoes: The “Twin Sisters” of Samoa, their P, T, X melting regime, and global implications by Stanley R. Hart, Matthew G. Jackson

“…Their high 3He/4He marks them as being a FOZO mantle end‐member. By comparing data from both volcanoes, we test the efficacy of melting models in constraining the mantle compositions and their P‐T of melting. …”
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SAFETY AS AN ELEMENT OF CREATING COMPETITIVE ADVANTAGE AMONG AIRLINES GIVEN THE EXAMPLE OF THE AIRBUS A350 XWB AND THE BOEING 787 DREAMLINER AIRCRAFT by Marcin RUTKOWSKI

“…This article, in the form of comparative analysis, indicates the key features that determine the attractiveness of the new aircraft as a product on the passenger air transport market. Secondary data on the characteristics of the Airbus A350 XWB aircraft were used and compared with the data of the Boeing 787 Dreamliner to illustrate the properties that may indicate the manufacturer's superiority. …”
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Hyperhydration of breast and skin cancers: effects on thermophysical tissue properties in clinical hyperthermia with water-filtered infrared-A radiation (wIRA) - an updated review by Helmut Piazena, Peter Vaupel

“…Despite small Cw values, maxima of absorbance coupled with low heat capacity and thermal conductivity occurred in the subcutaneous tissues.Conclusions These data indicate high efficacy of superficial wIRA-hyperthermia in clinical oncology when exposed to composite tissues with highly variable water and fat contents. …”
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AHP-MOORA framework for longitudinal evaluation of Pharm.D program learning outcomes: a tool for Saudi pharmacy programs accreditation and curriculum enhancement by Sultan M. Alshahrani

“…Composite MOORA scores exhibited optimal performance in 2020 (0.883) and declined to 0.792 in 2022. …”
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Incidence of eclampsia and related complications across 10 low- and middle-resource geographical regions: Secondary analysis of a cluster randomised controlled trial. by Nicola Vousden, Elodie Lawley, Paul T Seed, Muchabayiwa Francis Gidiri, Shivaprasad Goudar, Jane Sandall, Lucy C Chappell, Andrew H Shennan, CRADLE Trial Collaborative Group

“…This trial implemented a novel vital sign device and training package in routine maternity care with the aim of reducing a composite outcome of maternal mortality and morbidity. …”
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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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Coral fisheries management using an ecosystem approach in the domain of fishing techniques at the Pasiran fish landing base by Muammar Mesha Abel, Rahmah Alvi, Agustina Imelda, Sriwulanda Ayu

“…The sampling technique used was a census method with a total of 10 respondents. Data analysis employed ordinal Likert scale scores (1, 2, and 3) for each indicator, followed by the calculation of index values, composite scores, and descriptive analysis. …”
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Assessing Food Security in Restricted Access Areas Using Remote Sensing: A Multi-Dimensional Analysis of Gaza from 2018 to 2024 by J. Jilma, S. Ghaffarian

“…This study employs a multi-dimensional approach to assess food security in Gaza from 2018 to 2024, integrating Sentinel-2 satellite imagery, a Random Forest-derived land cover map, food price inflation data, and import statistics to construct a composite food security index. …”
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An Effective Temporal Convolutional Networks-Based Method for Detecting Android Malware Using Dynamic Extracted Features by Abdurraheem Joomye, Mee Hong Ling, Muhammed Basheer Jasser, Athirah Mohd Ramly, Kok-Lim Alvin Yau

“…In several applications, TCN has proven to be more effective with sequential data, faster due to parallelism and less computationally exhaustive. …”
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In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes. by Alireza Naghizadeh, Wei-Chung Tsao, Jong Hyun Cho, Hongye Xu, Mohab Mohamed, Dali Li, Wei Xiong, Dimitri Metaxas, Carlos A Ramos, Dongfang Liu

“…Machine learning (ML) is an artificial intelligence (AI) tool that automatically processes huge amounts of image data. Immunotherapies have revolutionized the treatment of blood cancer. …”
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Remote Sensing Based Crop Monitoring Techniques: A Case Study for the Navajo Nation by V. Thangavel, S. Nagarajan, M. Arockiasamy, Md. T. Khan, G. Sklivanitis

“…The collected data was pre-processed by creating monthly median composites of surface reflectance to remove noise and enhance the results more accurately. …”
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Uniform Reanalysis of JWST MIRI 15 μm Exoplanet Eclipse Observations Using Frame-normalized Principal Component Analysis by Nicholas J. Connors, Christopher Monaghan, Björn Benneke, Lisa Dang

“…Using the FN-PCA technique, we perform a uniform reanalysis of the published MIRI 15 μ m observations of LHS 1478 b, TOI-1468 b, LHS 1140c, TRAPPIST-1 b, and TRAPPIST-1 c using our new data reduction pipeline ( Erebus ) and compare them to different potential atmospheric and surface compositions. …”
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Contributors to caregiver burden, depression, and anxiety in the partners of professional American-style football players: a cross-sectional study by Niki Konstantinides, Niki Konstantinides, Paula S. Atkeson, Heather DiGregorio, Inana Dairi, Cheyenne Brown, Kairi Noriega, Jillian Baker, Jillian Baker, Valencia Taylor, Christy Glass, Lewis E. Kazis, Lewis E. Kazis, Rachel Terrill, Frank E. Speizer, Frank E. Speizer, Frank E. Speizer, Ross D. Zafonte, Ross D. Zafonte, Ross D. Zafonte, Herman A. Taylor, Herman A. Taylor, Aaron L. Baggish, Aaron L. Baggish, Aaron L. Baggish, Marc G. Weisskopf, Marc G. Weisskopf, Alicia J. Whittington, Rachel Grashow, Rachel Grashow

“…Eligible participants were partners of current and former professional ASF players who completed electronic surveys from 2021 to 2024. Data on age, race, family composition, income, employment status, caregiver help, personal health, marital satisfaction, player position, and number of relocations were collected. …”
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Analysis of factors affecting employee performance by Yusuf Ronny Edward, Nagian Toni, Erina Alimin

“…A questionnaire with a 1–5 rating scale was given to 56 randomly selected respondents, who provided the data. The software SmartPLS is then used to examine the data that has been gathered. …”
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Application of Fast Kurtosis Spectrum in Fault Feature Extraction of Compound Planetary Gear by Wu Shoujun Feng Fuzhou Wu Chunzhi Ding Chuang

“…A process of extracting mechanical fault feature based on fast computation of kurtogram is proposed and which is applied to the fault feature extraction of composite planetary gears of a tank gearbox. Firstly, the signals of gear normal and spalling fault under specific conditions are analyzed, and compared with the traditional envelope analysis results, it shows that the fault feature extraction method based on fast kurtosis specturm can significantly enhance the amplitude of fault feature frequency. …”
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Prediction of Gait Neurodegenerative Diseases by Variational Mode Decomposition Using Machine Learning Algorithms by P. Visvanathan, P.M. Durai Raj Vincent

“…The composite non stationary and nonlinear gait signals are decomposed into different modes of Intrinsic Mode Function (IMF) using Variational Mode Decomposition (VMD). …”
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