The Child Evaluation Checklist (CHECK): A Screening Questionnaire for Detecting Daily Functional “Red Flags” of Underrecognized Neurodevelopmental Disorders among Preschool Childre... by Sara Rosenblum, Irit Ezra Zandani, Tsofia Deutsch-Castel, Sonya Meyer

“…Outcomes and Results. The CHECK’s construct validity indicated high internal consistency for each part (Part A: α=.94; Part B: α=.90) and moderate-to-high consistency for each of Part A’s four factors. …”
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Genetic ancestry and the colonial legacies of race in genomics: a cross-disciplinary dialogue by Ernesto Schwartz-Marin, Tayyaba Jiwani, Sarah Abel, Yulia Egorova, Amade M’charek, Diogo Meyer, Andrés Moreno Estrada, Katharina Schramm, Peter Wade, Michel Naslavsky, Michel Naslavsky

“…We seek to clarify perspectives across the disciplinary divide, and to advance constructive and grounded critiques that contend with the question of justice in genomics.…”
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HydroEcoLSTM: A Python package with graphical user interface for hydro-ecological modeling with long short-term memory neural network by Tam V. Nguyen, Vinh Ngoc Tran, Hoang Tran, Doan Van Binh, Toan D. Duong, Thanh Duc Dang, Pia Ebeling

“…In this study, we introduced a GUI package, named HydroEcoLSTM, with the long short-term memory network (LSTM) as the core model, that allows non-ML experts to utilize their domain knowledge to construct complex ML models. We demonstrated the functionalities of HydroEcoLSTM with two practical examples, including (1) predictions of streamflow in both gauged and ungauged catchments and (2) predictions of multiple outputs (i.e., streamflow and isotope transport from two catchments). …”
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Evolutionary Game Model of Integrating Health and Care Services for Elder People by Tingqiang Chen, Jinnan Pan, Yuanping He, Jining Wang

“…Thus, we use game theory to construct the utility model of resource allocation between pension and medical institutions. …”
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Improving molecular subtypes and prognosis of pancreatic cancer through multi group analysis and machine learning by Xue-Jian Zhang, Fang-Fang Lin, Ya-Qing Wen, Kun-Ping Guan

“…Methods This study integrated multiple omics data of PAC patients, applied ten clustering techniques and ten machine learning approaches to construct molecular subtypes for PAC, and created a new CMLS. …”
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The effect of coal ratio on the high-lead slag reduction process by Zhang Z., Li W., Zhan J.

“…First, the phase diagrams of the PbOFeO- SiO2-2%CaO-10%ZnO slag system at various temperatures and coal ratios were thermodynamically constructed. Next, the density, the melting temperature, the viscosity, the chemical composition and the phase transformation of the reduced slag were investigated. …”
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The Role of Cyclooxygenase in Multiplication and Reactivation of HSV-1 in Vestibular Ganglion Neurons by Yuehong Liu, Shufeng Li, Zhengmin Wang

“…Due to the difficulties of constructing in vivo animal models, in this study, we developed a vestibular ganglion culture system, in which vestibular neurons were latently or lytically infected with HSV-1. …”
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Simulation and Test Study of Blast Crater in Deep Ore Body of Metal Mine Based on Lsdyna by Erhu Dong, Long An, Yuanhui Li, Jiahua Zhang

“…In this paper, a numerical simulation method under the fluid-solid coupling algorithm of rock body and explosive is constructed by combining the on-site blast crater test, Lsdyna JHC (Johnson Holmquist Concrete) damage model, and MATLAB parameter fitting algorithm. …”
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Strategic decisions: How good does it fit the decision-making process into the strategic management process? by Kolar Edvard, Tušak Matej, Robnik Petra, Biloslavo Roberto

“…The complicated dance between the decision-making (hereinafter: DM) process, which is shaped by the individual psychological constructs and internal cognitive processes, and the methodological process of strategic management (hereinafter: SMP), which can be understood as a framework that defines decision context, raises pertinent questions about their coherence. …”
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Brittleness evaluation of main coal seams in Permian Taiyuan-Shanxi formations, Baode block, Ordos Basin: based on a convolutional neural network method by Qingfeng ZHANG, Ziling LI, Jikun ZHANG, Shuai HAO, Xiaoguang SUN, Yanjie SHANG, Yun ZUO

“…In this study, a convolutional neural network (CNN) was utilized to construct a conversion model between experimentally obtained elastic modulus, Poisson's ratio, and multi-logging curves. …”
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A Novel Aggregation-Induced Emission-Based Electrochemiluminescence Aptamer Sensor Utilizing Red-Emissive Sulfur Quantum Dots for Rapid and Sensitive Malathion Detection by Yajun Wu, Dongxiao Ma, Xiaoli Zhu, Fangquan Xia

“…Rapid, effective, and cost-effective methods for large-scale screening of pesticide residues in the environment and agricultural products are important for assessing potential environmental risks and safeguarding human health. Here, we constructed a novel aggregation-induced emission (AIE) electrochemical aptamer (Apt) sensor based on red-emissive sulfur quantum dots (SQDs), which aimed at the rapid screening and quantitative detection of malathion. …”
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Genotyping of hexaploid wheat varieties from different Russian regions by I. G. Adonina, I. N. Leonova, E. D. Badaeva, E. A. Salina

“…Comparative analysis of individual dendrograms constructed using 1–2 markers per chromosome, and with the involvement of a larger number of 5B-chromosome markers allowed us to identify varieties with rearrangements of this chromosome and to assess genetic diversity. …”
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A New Method for Deriving the Nightside Thermospheric Density Based on GUVI Dayside Limb Observations by Tingting Yu, Zhipeng Ren, You Yu, Weixing Wan

“…First, we acquire the GUVI dayside total mass density during 2002–2005 to construct a preliminary empirical model (EM). Simultaneously, we decompose the background thermospheric density from U.S. …”
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Towards Smart and Resilient City Networks: Assessing the Network Structure and Resilience in Chengdu–Chongqing Smart Urban Agglomeration by Rui Li, Yuhang Wang, Zhiyue Zhang, Yi Lu

“…Taking the Chengdu–Chongqing urban agglomeration as a case study, this research constructs economic, information, population, and technological intercity networks based on the complex network theory and gravity model to evaluate their spatial structure and resilience over five years. …”
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Neural markers of error processing relate to task performance, but not to substance-related risks and problems and externalizing problems in adolescence and emerging adulthood by Olga D. Boer, Thea Wiker, Shervin H. Bukhari, Rikka Kjelkenes, Clara M.F. Timpe, Irene Voldsbekk, Knut Skaug, Rune Boen, Valerie Karl, Torgeir Moberget, Lars T. Westlye, Ingmar H.A. Franken, Hanan El Marroun, Rene J. Huster, Christian K. Tamnes

“…., error-related negativity (ERN) and error-related positivity (Pe)) to task performance and broader behavioral constructs, but few studies examined how these associations manifest in adolescence. …”
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Production Thematic Maps of Bearing Capacity of Shallow Foundation for Al-Basrah Soil Using Standard Penetration Data and GIS by Majeed Sabaa, Alaa Salman, Ammar Dakhil, Saba Jawad, Mahdi Karkush, Ahmed Athab

“…In addition, it can be utilized to assess the foundations of existing and irregularly constructed buildings and to assess the extent of the risks of failure and collapse.…”
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A Regional Ionospheric Storm Forecasting Method Using a Deep Learning Algorithm: LSTM by Panpan Ban, Lixin Guo, Zhenwei Zhao, Shuji Sun, Tong Xu, Zhengwen Xu, Fengjuan Sun

“…We used the perturbation index to denote the level of an ionospheric storm, deduced from foF2 data, and helped to remove most of the local time and seasonal variations in the ionosphere. In constructing the model, a number of correlated factors were used as inputs, including the properties of coronal mass ejections, solar flare bursts, interplanetary conditions, and geomagnetic and ionospheric states, and the output was whether an ionospheric storm occurred locally in the next 24 hr. …”
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Investigation of the Air Pollution Event in Beijing-Tianjin-Hebei Region in December 2016 Using WRF-Chem by Dongdong Wang, Baolin Jiang, Fangzhou Li, Wenshi Lin

“…In addition, based on a normal experiment, three sensitivity experiments were constructed by adding hypothetical terrain (HT) of 400, 300, and 200 meters, over the region 115°E, 38.8°N to 117.54°E, 38.8°N. …”
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Three-Dimensional Deformation Prediction Based on the Improved Segmented Knothe–Dynamic Probabilistic Integral–Interferometric Synthetic Aperture Radar Model by Shuang Wang, Genyuan Liu, Zhihong Song, Keming Yang, Ming Li, Yansi Chen, Minhua Wang

“…The ISK-DPIM-InSAR model constructs the inversion equations of InSAR line-of-sight deformation, north–south and east–west horizontal movement deformation, vertical deformation, inverts the optimal values of the predicted parameters of the workforce through the particle swarm algorithm, and substitutes it into the ISK-DPIM-InSAR model for predicting the three-dimensional dynamic deformation of a mining face. …”
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Neoplasms in the Nasal Cavity Identified and Tracked with an Artificial Intelligence-Assisted Nasal Endoscopic Diagnostic System by Xiayue Xu, Boxiang Yun, Yumin Zhao, Ling Jin, Yanning Zong, Guanzhen Yu, Chuanliang Zhao, Kai Fan, Xiaolin Zhang, Shiwang Tan, Zimu Zhang, Yan Wang, Qingli Li, Shaoqing Yu

“…Objective: We aim to construct an artificial intelligence (AI)-assisted nasal endoscopy diagnostic system capable of preliminary differentiation and identification of nasal neoplasia properties, as well as intraoperative tracking, providing an important basis for nasal endoscopic surgery. …”
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