Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

“…Materials and methods The combined method of the autoencoder network with the fractal concentration-area method was used to identify the geochemical anomalies. …”
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A Finger Vein Recognition Algorithm Based on the Histogram of Variable Curvature Directional Binary Statistics by Min Li, Xue Jiang, Honghao Zhu, Fei Liu, Huabin Wang, Liang Tao, Shijun Liu

“…This paper introduces a novel approach, the histogram of variable curvature directional binary statistical (HVCDBS), which combines the structural and directional features of images. …”
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Testing convolutional neural network based deep learning systems: a statistical metamorphic approach by Faqeer ur Rehman, Clemente Izurieta

“…We propose seven MRs combined with different statistical methods to statistically verify whether the program under test adheres to the relation(s) specified in the MR(s). …”
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A new statistical model with optimal fitting performance: Its assessments in management sciences and reliability by Zhidong Liang

“…In the context of this particular research area, we introduce a groundbreaking statistical methodology designed to enhance the distributional flexibility of probability models without the addition of new parameters. …”
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Comparison of conditioning factor classification criteria in large-scale statistically based landslide susceptibility models by M. Sinčić, S. Bernat Gazibara, M. Rossi, S. Mihalić Arbanas

“…Therefore, the paper focuses on the crucial step of classifying continuous landslide conditioning factors for susceptibility modelling by presenting an innovative comprehensive analysis that resulted in 54 landslide susceptibility models to test 11 classification criteria (scenarios which vary from stretched values, partially stretched classes, heuristic approach, classification based on studentized contrast and landslide presence, and commonly used classification criteria, such as natural neighbour, quantiles and geometrical intervals) in combination with 5 statistical methods. The large-scale landslide susceptibility models were derived for small and shallow landslides in the pilot area (21 km<span class="inline-formula">²</span>) located in the City of Zagreb (Croatia), which occur mainly in soils and soft rocks. …”
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A 1.25–12.5 Gbps Adaptive CTLE with Asynchronous Statistic Eye-Opening Monitor by Chen Cai, Jian-zhong Zhao, Yu-mei Zhou

“…With SMIC 28 nm CMOS process to achieve the overall design, the power consumption and core chip area are 12 mW @ 12.5 Gbps and 0.12 mm2, respectively. …”
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The Statistical Detecting of Sulfur Hexafluoride and Nitrous Oxide Effect on Seasonal Rainfalls in Iran During Recent Decade by Yosef Ghavidel Rahimi, Maysam Tolabi Nejad, Manochehr Farajzadeh

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The Association of Autoantibodies in Hyperthyroid Heart Disease Combined with Pulmonary Hypertension by Xiujuan Zhang, Lin Chen, Jianping Sheng, Chaoying Li, Yong He, WenXia Han

“…Graves’ disease is the most common cause of hyperthyroidism in iodine-replete areas. Hyperthyroid heart disease may be associated with pulmonary hypertension in patients who have overt hyperthyroidism. …”
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The Interannual Variability of Global Burned Area Is Mostly Explained by Climatic Drivers by Andrina Gincheva, Juli G. Pausas, Miguel Ángel Torres‐Vázquez, Joaquín Bedia, Sergio M. Vicente‐Serrano, John T. Abatzoglou, Josep A. Sánchez‐Espigares, Emilio Chuvieco, Sonia Jerez, Antonello Provenzale, Ricardo M. Trigo, Marco Turco

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Groundwater Pollution Vulnerability in Kabul, Afghanistan, Assessed Using a Geographical Information System (GIS)-Based DRASTIC Model by Hasibullah Jahish, Mohammad Haroon Sarwary, Zabihullah Rasoli, Abdulhai Kaiwaan, Mohammad Aref Naimzad, Abdoullah Namdar, Sayed Javid Azimi

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Characterization of Origin and Evolution of Formation Water in Buried Hill of Jizhong Depression, China, Using Multivariate Statistical Analysis of Geochemical Data by Fei Li, Jianhui Zeng

“…With high positive loadings in Ca2+ and high negative loadings in Na+ and SO42-, component3 (PC3) suggests plagioclase albitization. The combination of HCA and PCA within the hydrogeological contexts allowed the division of study area into five dynamic areas. …”
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Downscaling of Open Coarse Precipitation Data through Spatial and Statistical Analysis, Integrating NDVI, NDWI, Elevation, and Distance from Sea by Hicham Ezzine, Ahmed Bouziane, Driss Ouazar, Moulay Driss Hasnaoui

“…This study aims to improve the statistical spatial downscaling of coarse precipitation (TRMM 3B43 product) and also to explore its limitations in the Mediterranean area. …”
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One Nudge Can Be Enough:Reducing Cigarette ButtLittering in Public Areas by Artsiom Klunin, Matúš Sloboda, Emília Sičáková-Beblavá, Patrik Pavlovský

“… The purpose of this paper is to investigate how public administration can reduce cigarette butt littering in public areas. Cigarette butt littering is a problem for every local government unit; however, policy solutions are either very difficult to implement or expensive. …”
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Spectroscopic Evaluation of Glioma Grading at 3T: The Combined Role of Short and Long TE by E. Kousi, I. Tsougos, E. Tsolaki, K. N. Fountas, K. Theodorou, I. Fezoulidis, E. Kapsalaki, C. Kappas

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Statistical analysis based on a two-staged SEM-SVM approach for environmental noise annoyance prediction and identification of influencing factors by M. Rehman, M. Kamal, S. Tiwari

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Electrification as a development and sustainability approach in rural areas using renewable energy sources by J. Fábregas Villegas, I. Tovar Ospino, A. Palencia Díaz

“…Subsequently, risk management was applied in projects of this nature, assessing the renewable potentials available in the region, such as wind and photovoltaic solar energy.FINDINGS: Of the risks encountered, political risk is the main reason why projects focused on renewable energy in the Colombian Caribbean do not end in a good state of operation, although there is a good exploitable solar and wind energy potential in the region as indicated by the statistical analyses carried out with the records obtained by meteorological instrumentation of the area. …”
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Effective Transmission Coverage Area-Based Link Dynamics Characterization of VANET in Highway Scenario by Chunfeng Liu, Oliver Yang, Gen Li, Yantai Shu

“…This paper uses the concept of effective transmission coverage area as a model for the derivation of analytic expressions in order to characterize the dynamic statistics of link lifetime, new link arrival rate, new link interarrival time, link breakage interarrival time, and so forth. …”
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Caprini score combined with thrombotic molecular markers for predicting DVT in patients with traumatic fractures by Zhengsheng Wu, Yaoqiang Du, Xiaofeng Cai, Qian Xu

“…The overall diagnostic efficacy of individual thrombus molecular markers from highest to lowest was TM, DD, PIC, t-PAIC, and TAT, with all except TAT showing statistical significance. The combined diagnostic efficacy of the postoperative Caprini score and PIC also showed statistical significance (AUC = 0.869, P < 0.001). …”
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Blood Cell Ratio Combinations for Diagnosing Periprosthetic Joint Infections: A Preliminary Study by Yu Y, Wen Y, Xia J, Dong G, Niu Y

“…The diagnostic performance of these biomarkers was evaluated using ROC curve analysis and the area under the curve (AUC). Additionally, the Youden index was used to determine optimal threshold values, and positive predictive value (PPV) and negative predictive value (NPV) were calculated to evaluate diagnostic precision.Results: In the PJI group, levels of PAR, CAR, and CALLY were notably higher compared to the AF group, reaching statistical significance (P < 0.05). …”
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Analysis of the diagnostic efficacy of ultrasound, MRI, and combined examination in benign and malignant breast tumors by Dianpei Ma, Dianpei Ma, Changliang Wang, Jie Li, Jie Li, Xiaohan Hao, Yun Zhu, Zhizhen Gao, Zhizhen Gao, Chun Liu, Changfan Luo, Yu Huang

“…However, the diagnostic performance between US and the combined examination was statistically significant (P &lt; 0.05). …”
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