A Novel Design and Implementation of a Surface Sediment Sampling Robot by Luis Gonzalo Gallegos Vicente, Jymmy Alexander Gonzales Cordova, Jorge Leonardo Huarca Quispe, Juan Carlos Cutipa Luque, Juan Pablo Julca Avila

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A Proposed Method for Deep Learning-Based Automatic Tracking with Minimal Training Data for Sports Biomechanics Research by Daichi Yamashita, Minoru Matsumoto, Takeo Matsubayashi

“…Feature maps extracted from three intermediate layers of VGG16 are processed by the head network to generate a probability map, highlighting the most likely locations of the key points. …”
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Remote Sensing and Machine Learning for Eutrophication Detection: Assessing the Trophic State in Reservoirs Using Multispectral Indices and Deep Learning by Ruben Usamentiaga, Jose Sal, Pelayo Elvira

“…When integrated with a deep learning model, these images enable the remote classification of the reservoirs’ trophic state. …”
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Pilot study: a low-cost, point-of-care microfluidic chip for smartphone-integrated colorimetric detection using convolutional neural networks by Mithun Kanchan, Pedapudi Anantha Hari Arun, Siddhant Rakesh Chutke

“…Our proposed microfluidic device comprises of layers of adhesive poly-vinyl films with micro-wells precision-cut using a cutting printer and stacked on a glass slide. …”
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WSNetDefender: Securing Wireless Sensor Networks Using BBIDNet and Fuzzy-DQN Threat Mitigation System (FD-TMS) by Mohammed A. Aleisa

“…The accuracy recorded by the suggested model is 99.6% and 99.7% for database-1 and database-2, respectively.…”
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Feasibility of lowering-in of longitudinally continuous cold-bends by Yanbing WANG, Tong SHI, Haichun LIU, Yihua ZHAO, Qinlong DONG, Shengyi SHA, Mingzhe BU, Hong ZHANG, Hao WANG

“…Methods Taking X80 pipes with a diameter of 1 219 mm and wall thickness of 22 mm as an example, the Finite Element Method (FEM) was used to establish a numerical model for the lowering-in process of longitudinally continuous cold bends into the trench. …”
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Propagation Characteristics of Multi-Cluster Hydraulic Fracturing in Shale Reservoirs with Natural Fractures by Lianzhi Yang, Xinyue Wang, Tong Niu

“…This paper presents a numerical model utilizing a finite element (FE) analysis to simulate the process of multi-cluster hydraulic fracturing in a shale reservoir with natural fractures in three dimensions. …”
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Characteristics and Mechanisms of Long-lived Concentric Eyewalls in Typhoon Lekima in 2019 by Liu Tao, Duan Yihong, Feng Jianing, Wang Hui

“…Compared to the TC with only one eyewall, the dynamic and physical processes controlling the intensity change of concentric eyewalls are much more complex. …”
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Multi-temporal high-resolution data products of ecosystem structure derived from country-wide airborne laser scanning surveys of the Netherlands by Y. Shi, J. Wang, W. D. Kissling

“…This resulted in <span class="inline-formula">∼59</span> GB raster layers in GeoTIFF format constituting ready-to-use multi-temporal data products of ecosystem structure at a national scale. …”
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Scientific Authority and Medical Research Utilization in Various Scenarios of Access to Information in Iran by Najmeh Nazeri, Ali Shabani, Alireza Noruzi, Mostafa Hossini Golkar

“…These changes in the layers of processes and value creation in scientific authority could be traced. …”
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Study on the evolution of rock damage and blasting characteristics of deep tunnel splitting and drilling with explosives by Shigui FU, Zegong LIU, jinwei QIU, Shuai YANG, Gangjian AN, Guodong QIAO, Xin ZHANG

“…A comparison of existing experimental data with numerical simulation resulted in the development of a constitutive model (RHT model) to simulate the fracture propagation process of rock under cutting seam blasting loads. …”
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The Characteristics of the Water Vapor Transport under The Condition of Dry and Wet Evolution in the Source Region of the Yellow River by Yu LIU, Rong LIU, Xin WANG, Zuoliang WANG, Dayong WANG

“…By analyzing Soil Moisture Anomaly Percentage Index （SMAPI） at different soil layers， dry-wet evolution of the source region of the Yellow River （SRYR） during 2008 -2017 are investigated using observations from the Maqu-Ruoergai soil temperature and moisture monitoring network.To diagnose the water vapor transportation path and potential water vapor sources in different processes， the Lagrange Flexible Particle Dispersion Model （FLEXPART）， which is driven by reanalysis data （National Centers for Environmental Prediction Final， NECP FNL）， are used to simulate the backward trajectories of target particles.The results show that the water vapor transportation path can be divided into three categories： （1） South Branch transportation.The water vapor origins from the Indian Ocean and the Arabian Sea， and finally arrives at the SRYR by way of the Indian Peninsula and Bay of Bengal； （2） East Branch transportation.The water vapor is from the Pacific Ocean and the South China Sea， then passes through the Yangtze River Basin， and finally arrives at the SRYR from eastern and southern flank of the Tibetan Plateau； （3） North Branch transportation.The water vapor is from the Atlantic Ocean， the northern African continent， and the European continent， then arrives at the SRYR from the western or northern side of the Tibetan Plateau by way of the mid-latitude Eurasian continent.Moreover， the North Branch is dominant in dry period， whereas the South and East branches are prominent in wet period.The water vapor sources also show discrepancies for dry and wet periods.The water vapor sources of the Tibetan Plateau are mainly distributed around the Kunlun Mountains during wet period， and are scattered distributed from north to south during transitional period， and are located around the Tianshan during dry period.The intensity of the water vapor sources of the Iranian Plateau， Pamir Plateau， and the Bay of Bengal gradually strengthen from wet to dry period， the intensity of the water vapor sources of the Sichuan Basin-Qinling Mountains and south China enhanced first and then weakened， while the source of Qilian Mountain-Loess Plateau weakened after enhanced.The intensity of water vapor sources over the middle and lower reaches of the Yangtze River and around East China has been weakening from the wet period to the dry period.…”
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Pothole detection and segmentation in the Bushveld Complex using physics-based data augmentation and deep learning by Glen T. Nwaila, Musa S.D. Manzi, Emmanuel John M. Carranza, Raymond J. Durrheim, Hartwig E. Frimmel

“…Potholes are local depression structures that disrupt stratigraphic continuity, such as in layered igneous intrusions. In the Bushveld Complex (South Africa), potholes range from a few to hundreds of meters in width, and may disrupt orebodies, cause ore loss and pose geotechnical challenges. …”
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Visual nutrition analysis: leveraging segmentation and regression for food nutrient estimation by Yaping Zhao, Yaping Zhao, Ping Zhu, Ping Zhu, Yizhang Jiang, Kaijian Xia, Kaijian Xia

“…Finally, the extracted features were processed through several fully connected layers to obtain predictions for the weight, calories, fat, carbohydrates, and protein content.Results and discussionOur model achieved an outstanding average percentage mean absolute error (PMAE) of 17.06% for these components. …”
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Dynamic Simulation of Nano-Gel Microspheres for Plugging Preferential Flow Channels and Enhancing Oil Recovery in Waterflooded Reservoirs by Long Ren, Cong Zhao, Jian Sun, Cheng Jing, Haitao Bai, Qingqing Li, Xin Ma

“…This study addresses the unclear mechanisms by which preferential flow channels (PFCs), formed during long-term waterflooding, affect nano-gel microsphere (NGM) flooding efficiency, utilizing CMG reservoir numerical simulation software. A dynamic evolution model of PFCs was established by coupling CROCKTAB (stress–porosity hysteresis) and CROCKTABW (water saturation-driven permeability evolution), and the deep flooding mechanism of NGMs (based on their gel properties such as swelling, elastic deformation, and adsorption, and characterized by a “plugging-migration-replugging” process) was integrated. …”
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Os Perímetros Irrigados do Baixo Jagurige no estado do Ceará [Brasil]: uma experiência referencial de projeto territorial sustentável by André Munhoz de Argollo Ferrão, Luci Mehry Martins Braga, Carlos Eduardo Pozzer

“…Regional planning is faced with a complex territorial context in which overlapping thematic layers that identify a region from its assets converted into resources. …”
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Amended Calculation of Solar Heat Gain Coefficient Based on the Escape of Incident Solar Radiation by Shunyao Lu, Dongfang Yang, Xiaoqing Huang, Tao Chen, Zhengzhi Wang

“…In this paper, the heat transfer process of solar radiation in window shading systems is analyzed, and an amended calculation model for the SHGC is established. …”
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Functional Modification Effect of Epoxy Oligomers on the Structure and Properties of Epoxy Hydroxyurethane Polymers by Victor Stroganov, Oleg Stoyanov, Ilya Stroganov, Eduard Kraus

“…Formation of internal and intermolecular hydrogen bonds was established on hydroxycarbonates (HA) and linear polyhydroxyurethanes (PHU) model compounds by IR and NMR spectroscopy. The results of the hydrogen bond system formation processes explain the change in the relaxation and physicomechanical properties of hard polymers modified by the epoxy-amine compositions (OECC), containing aromatic and aliphatic links. …”
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Mapping of Closed Depressions in Karst Terrains: A GIS-Based Delineation of Endorheic Catchments in the Alburni Massif (Southern Apennine, Italy) by Libera Esposito, Guido Leone, Michele Ginolfi, Saman Abbasi Chenari, Francesco Fiorillo

“…A GIS-based, semi-automatic approach was employed, combining the sink-filling method (applied to a 5 m DEM) with the visual interpretation of various informative layers. This process produced a raster representing the location and depth of karst closed depressions. …”
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A novel hybrid machine learning approach for δ13C spatial prediction in polish hard-water lakes by Himan Shahabi, Ataollah Shirzadi, Alicja Ustrzycka, Natalia Piotrowska, Janusz Filipiak, Marzieh Hajizadeh Tahan

“…In this study, a random forest (RF), M5P, AMT, and Gaussian process (GP) are the four cutting-edge ML algorithms that are compared with the proposed hybrid model (ARAMT). …”
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