Multi-source data recognition and fusion algorithm based on a two-layer genetic algorithm–back propagation model by Zhuang Xiong, Zhuang Xiong, Jun Ma, Bohang Chen, Haiming Lan, Yong Niu

“…These results confirm that the two-layer GA-BP model improves system robustness and generalization.…”
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A Papillary Thyroid Microcarcinoma Revealed by a Single Bone Lesion with No Poor Prognostic Factors by Yann Godbert, Benedicte Henriques-Figueiredo, Anne-Laure Cazeau, Xavier Carrat, Marc Stegen, Isabelle Soubeyran, Francoise Bonichon

“…Thyroid carcinomas incidence, in particular papillary variants, is increasing. These cancers are generally considered to have excellent prognosis, and papillary microcarcinomas are usually noninvasive. …”
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Experimental Study on Comprehensive Real-Time Methods to Determine Geological Condition of Rock Mass along the Boreholes while Drilling in Underground Coal Mines by Ganggang Niu, Kai Zhang, Bosong Yu, Yanlong Chen, Yu Wu, Jiangfeng Liu

“…Comprehensive compassion between the results from the three systems shows that all the methods can give valuable information for the geological condition, and the outcomes of the different methods are generally comparable. For practical purposes, the advantages of the involved three detecting systems are discussed.…”
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Strategies for inclusive digital education: problem/project-based learning, cooperative learning, and service learning for students with special educational needs by Paola D’Elia, Aleksandra Stalmach, Sergio Di Sano, Gino Casale

“…This study investigates the effectiveness of three pedagogical methods - problem/project-based learning (PBL), cooperative learning (CL), and service learning (SL) - in promoting inclusive digital education.MethodsWe adopted a quantitative approach, collecting data through a structured questionnaire administered to nine media education and pedagogy experts from Italy and Austria.ResultsResults showed that PBL, CL, and SL are generally effective but require differentiated implementation approaches to maximize inclusivity. …”
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Long-term trends in water level fluctuations in lowland lakes in central Europe (Northern Poland) by Mariusz Ptak, Katarzyna Szyga-Pluta, Mariusz Sojka

“…From the point of view of water circulation, the obtained results can generally be considered favourable. In most cases, a statistically significant increase in the lowest (on average 4.6 cm per decade) and average (on average 3.5 cm per decade) levels was noted, ensuring the stabilisation of water conditions. …”
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GEOMETRIC TERMINOLOGY IN THE RUSSIAN LANGUAGE OF THE EARLY 17th CENTURY (EXEMPLIFIED BY “CHARTER OF MARTIAL, CANNON AND OTHER MATTERS RELATED TO MILITARY SCIENCE”) by Dmitry V. Rudnev, Milyausha G. Sharikhina

“…The lack of developed and generally accepted geometric terminology and models of scientific narration missing in the Russian language of the early 17th century hindered the translator’s striving for increased readability of the text.…”
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Decrease in Self-Reported Tanning Frequency among Utah Teens following the Passage of Utah Senate Bill 41: An Analysis of the Effects of Youth-Access Restriction Laws on Tanning Be... by Rebecca G. Simmons, Kristi Smith, Meghan Balough, Michael Friedrichs

“…States that have imposed age restrictions on access to indoor tanning generally show lower self-reported rates of indoor tanning than states with no restrictions, but currently no studies have assessed indoor tanning use before and after such restrictions. …”
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Transformed Calculation Models in Practice of Dynamic Analysis of Fixed Offshore Platform Structures by Valerii I. Sutyrin, Elvira R. Kuzhakhmetova

“…An algebraic computational procedure is proposed that allows the formation of matrices of generalized stiffness and mass coefficients. Modal analysis using a transformed calculation model (TCM) provides a significant reduction in the order and total computational time of the mechanical system. …”
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Impact of sanctions on the development of the gas industry in Russia by P. A. Aksenov

“…The methodology used was the analysis of Internet resources corresponding to the research topic, statistical data, its synthesis, and generalization. The main results of the research are studying trends, specifics and prospects for the gas industry development in the context of introducing anti-Russian sanctions and defining the sanctions risk as one of the most important ones. …”
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Negative Emotions in Migraineurs Dreams: The Increased Prevalence of Oneiric Fear and Anguish, Unrelated to Mood Disorders by F. De Angeli, C. Lovati, L. Giani, C. Mariotti D'Alessandro, E. Raimondi, V. Scaglione, D. Castoldi, E. Capiluppi, C. Mariani

“…A semistructured retrospective self-reported questionnaire was used to evaluate dreams. The Generalized Anxiety Disorder Questionnaire (GAD-7), and the Patient Health Questionnaire (PHQ-9) were administered to evaluate anxiety and depression. …”
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Perbandingan Kerja Binomial GLMM Tree dan BIMM Forest untuk Memodelkan Status Bekerja Penduduk by Dwi Agustin Nuriani Sirodj, Khairil Anwar Notodiputro, Bagus Sartono

“…Pengembangan metode yang dilakukan diantaranya memasukkan pengaruh acak ke dalam model.  Generalized linier mixed model (GLMM) Tree menjadi salah satu model yang dapat mengakomodasi adanya pengaruh acak dan dilakukan dengan metode partisi rekursif hanya saja waktu komputasi yang dibutuhkan relatif lebih lama. …”
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Survey on explainable knowledge graph reasoning methods by Yi XIA, Mingjng LAN, Xiaohui CHEN, Junyong LUO, Gang ZHOU, Peng HE

“…In recent years, deep learning models have achieved remarkable progress in the prediction and classification tasks of artificial intelligence systems.However, most of the current deep learning models are black box, which means it is not conducive to human cognitive reasoning process.Meanwhile, with the continuous breakthroughs of artificial intelligence in the researches and applications, high-performance complex algorithms, models and systems generally lack the transparency and interpretability of decision making.This makes it difficult to apply the technologies in a wide range of fields requiring strict interpretability, such as national defense, medical care and cyber security.Therefore, the interpretability of artificial intelligence should be integrated into these algorithms and systems in the process of knowledge reasoning.By means of carrying out explicit explainable intelligence reasoning based on discrete symbolic representation and combining technologies in different fields, a behavior explanation mechanism can be formed which is an important way for artificial intelligence to realize data perception to intelligence perception.A comprehensive review of explainable knowledge graph reasoning was given.The concepts of explainable artificial intelligence and knowledge reasoning were introduced briefly.The latest research progress of explainable knowledge graph reasoning methods based on the three paradigms of artificial intelligence was introduced.Specifically, the ideas and improvement process of the algorithms in different scenarios of explainable knowledge graph reasoning were explained in detail.Moreover, the future research direction and the prospect of explainable knowledge graph reasoning were discussed.…”
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Rudimentary Horn Pregnancy Diagnosed after Laparotomy by Kurabachew Mengistu, Tufa Bobe, Gashaw Tilahun, Kibru Kifle, Dereje Geleta

“…Abdominal pain is the most common presenting symptom with the rudimentary horn, but communicating horn pregnancy is generally asymptomatic in early pregnancy. Early awareness of this rare clinical condition is so crucial especially in developing countries where the availability of new technologies is scarce to explore uterine abnormalities. …”
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Acute Toxicity of Dental Gel Based on Origanum vulgare in Mice by Karakoz Badekova, Gayane Atazhanova, Irina Losseva, Aigul Medeshova, Ailazzat Aitkenova, Anar Brazhanova

“…So, according to the generally accepted classification of the toxicity of substances, ACDG3 can be attributed to the class of low-toxic substances (IV class of toxicity, LD50 > 5000 mg/kg, intragastric administration), that is, to practically nontoxic compounds.…”
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Gnanonobodom Tiou-Tagba Aliti, Modélisation des déséquilibres financiers globaux et régimes de change by Gnanonobodom Tiou-Tagba Aliti

“…First, fixed prices, three areas with a debt in local currency and with dollar-yuan fixed, but may also include conduct of reserve diversification of China’s central bank and a dollar-yuan according to floating or administered regimes. The second is a generalization of the previous one with flexible prices rather than fixed prices. …”
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Superspace Unitary Operator in Superfield Approach to Non-Abelian Gauge Theory with Dirac Fields by T. Bhanja, D. Shukla, R. P. Malik

“…The ordinary 4D non-Abelian theory, defined on the flat 4D Minkowski spacetime manifold, is generalized onto a (4, 2)-dimensional supermanifold which is parameterized by the spacetime bosonic coordinates xμ (with μ=0,1,2,3) and a pair of Grassmannian variables (θ,θ-) which satisfy the standard relationships: θ2=θ-2=0 and  θθ-+θ-θ=0. …”
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Numerical Study of the Aerodynamic Effect of Ski Suit Surface Roughness on Ski Jumping Athletes During the Flight Phase by K. Liu, Z. Wang, Q. Liu

“…Furthermore, the athlete model is segmented into distinct body parts to conduct a comprehensive analysis of the aerodynamic contributions from each individual segment. Generally, the surface roughness has a significant effect on the aerodynamic performance during the flight phase. …”
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Incomes and labor allocation in community forests in Ciamis Regency by Budiman Achmad, Ris Hadi Purwanto, Sambas Sabarnurdin

“…In relation to labor allocation, generally, ages of farmers had positive correlation while the land width had negative ones.…”
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Novel Heronian mean based $ m $-polar fuzzy power geometric aggregation operators and their application to urban transportation management by Ghous Ali, Kholood Alsager

“…This study was mainly devoted to introducing three novel aggregation operators (AGOs) for multi-criteria decision-making (MCDM) based on generalized geometric Heronian mean (GGHM) operations comprise the concept of $ m $F sets. …”
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Removal of Zn(II), Cu(II) and Pb(II) from Rainwater by White Bean Peel: Optimization by Response Surface Methodology by Gonçalo H. Cabral, Ana C. Estrada, Patrícia S. M. Santos

“…The optimal conditions for removal, 6 h of contact time between the sorbent and the solution, were applied to rainwater samples spiked with the mixture of PTEs and resulted in removals of 30–90% for Zn(II), 11–78% for Cu(II), and 11–97% for Pb(II), generally lower than those expected by the models, 91% for Zn(II) and 52% for Cu(II), highlighting that the rainwater matrix interferes with the removal of PTEs by peel. …”
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