Irreversible Adsorption of Particles on Surface Features of a Circular and Rectangular Shape by Zbigniew Adamczyk, Jakub Barbasz

“…The irreversible adsorption of spherical particles on surface features of various shapes (collectors) was studied using the Random Sequential Adsorption (RSA) model. Collectors in the form of circles and rectangles were considered, including the limiting cases of squares. …”
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On Coelenterata: Validation and Des­cription of the Superphylum Coelenterata (Leuckart, 1847) by R.N. Burukovsky

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Multimodal data deep learning method for predicting symptomatic pneumonitis caused by lung cancer radiotherapy combined with immunotherapy by Mingyu Yang, Jianli Ma, Chengcheng Zhang, Liming Zhang, Jianyu Xu, Shilong Liu, Jian Li, Jiabin Han, Songliu Hu

“…Data augmentation techniques, including random horizontal flipping, were employed. The normalized image data was then input into a pre-trained deep residual network, ResNet34, which utilized convolutional layers and global average pooling layers for deep feature extraction. …”
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A framework based on mechanistic modelling and machine learning for soil moisture estimation by Sabri Kanzari, Sana Ben Mariem, Samir Ghannem, Safouane Mouelhi, Hiba Ghazouani, Bechir Ben Nouna

“…The hydraulic properties of four layers of soil from Tunisia were measured to a depth of 80 cm. …”
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Role of oral bio-enhanced curcumin in dry eye disease by Dikshit Kapil, Aafreen Bari, Namrata Sharma, Thirumurthy Velpandian, Rajesh Sinha, Prafulla Maharana, Manpreet Kaur, Tushar Agarwal

“…Purpose: To assess the role of oral bio-enhanced curcumin in dry eye disease (DED). Design: Randomized, double-masked, placebo-controlled clinical study conducted at a tertiary eye center. …”
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Effect of Adoption Intensity of Climate Smart Agriculture on Farming Households’ Food Security in Ethiopia: Empirical Evidence From Guna Begemider District, South Gonder by Mekdes Teklemichael, Abate Mekuriaw

“…A semi-structured questionnaire was administered among 217 randomly selected households from four kebeles of the district. …”
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Histomorphological study of the lymphoglandular complex in adult local breed dog (Canis familiaris) by Salah S. Obead, Luay O. Hamza

“…Morphologically, the mucosa of the cecum had openings of the lymphoglandular complex that were randomly distributed and appeared as a rounded elevation at the upper caecum folds of the mucosal surface and in all portions of the caecum. …”
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Comprehensive Performance Assessment of Multi-Neural Ensemble Model for Mortality Prediction in ICU by M. Fathima Begum, Subhashini Narayan

“…Our work proposed a Stacking-based multi-layer perceptron ensemble learning method on bench-marking dataset namely 2020 WiDS (Women in Data Science) Challenge and got an accuracy of 93.67%. …”
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Classification prediction of load losses in power stations using machine learning multilayer stack ensemble by Bathandekile M. Boshoma, Oluwole S. Akinola, Peter Olukanmi, Peter Olukanmi

“…The best parameters are determined through a randomized search with cross-validation and applied to train the models. …”
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Phosphorus fractionation in soils of the Paraguayan Chaco under pristine and anthropogenic conditions by Ana Beatriz Candia-Díaz, Jimmy Walter Rasche-Álvarez, Natalia Carolina Escobar Decoud, Diego Augusto Fatecha Fois, Eduardo Corrales Brenes

“…This study aimed to evaluate the different P fractions in soils from Paraguay Central Chaco under pristine and anthropogenic conditions. A randomized complete block design was utilized with two treatments (pristine and anthropogenic usage). …”
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Objective Sliding Mode Control for the Flotation Motor Replacement Process Based on a Stepwise Stochastic Configuration Network by Yunze Tang, Jinghui Qiao, Ningkang Xiong

“…The SSCN is distinguished by its innovative node selection mechanism for the hidden layer, which operates in two distinct phases: initially, ‘single time’, where weights and biases are randomly assigned through a uniform distribution, and subsequently, ‘double time’, where these parameters are adjusted based on a normal distribution centered around the values selected in the first phase. …”
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Surface sealing and water erosion of soils with mulching in the semi-arid region of Brazil by Fábio F. da Silva, Thais E. M. dos S. Souza, Edivan R. de Souza, Marcelo M. Correa, Mário M. Rolim

“…The TENF was the only soil that presented an incipient soil surface sealing layer in the treatment without mulch.…”
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Design of sound absorbers based on open-cell foams via microstructure-based modeling by Van-Hai Trinh, Thien-Van Nguyen, Thi-Hai-Nhu Nguyen, Minh-Tan Nguyen

“…To this regard, the numerical homogenization approach and the equivalent-fluid theory are employed to study the acoustic behavior of random open-cell foams within their Voronoi tessellation-based Representative Volume Elements (RVE). …”
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Do Laying Hens Form Stable Social Networks?—A Case Study by Louise Hedlund, Dominic Wright, Per Jensen

“…A social network is a group of individuals forming a non-random social structure where the number of interactions systematically vary among individuals. …”
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A general two-group constants estimator for 17x17 PWR assembly configurations using artificial neural networks by Gökhan Pediz, M. Alim Kırışık

“…Serpent code has been used to generate two-group constants for random assembly configurations to obtain training and test data. …”
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APPLYING TRANSFORMER ARCHITECTURE TO ENHANCE ATTACK DETECTION PERFORMANCE IN INTRUSION DETECTION SYSTEMS by Vu Thi Phuong*, Hoang Thi Hong Ha, Dinh Gia Truong, Tran Thi Yen

“…The Transformer model has three layers, leveraging self- attention mechanisms to capture relationships between network features. …”
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Addressing spatial imprecision in deep learning for satellite imagery-based socioeconomic predictions by Heather Baier, Dan Runfola

“…In cases where the exact location at which a measurement was taken is unknown (i.e. household income), the SIA approach (a) samples multiple potential candidates in an adaptable-size buffer region, (b) extracts activations from the fully connected (FC) layers of convolutional-based models for each candidate; and (c) applies a Random Forest (RF) model to each candidate’s activations to generate a single prediction of the target variable. …”
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The separation of the electromagnetic field at the position of the sources in the magnetotelluric method by P.N. Alexandrov, A.K. Rybin, O.B. Zabinyakova

“…In this case, the sources can be located in arbitrary places of the layered half-space with the random amplitude and time of occurrence. …”
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Clinical feasibility study of a 2D ripple filter to improve the efficiency of carbon ion therapy by ZHANG Lijia, SCHLEGEL Nicki, SHENG Yinxiangzi, HAN Rongcheng, ZHAO Jingfang

“…From patients who underwent carbon ion therapy at Shanghai Proton and Heavy Ion Center, 20 cases were selected via simple random sampling with computer-generated random numbers, stratified by the proportion of different tumor sites (6 head and neck tumors, 4 prostate tumors, 4 lung tumors, 2 pancreatic tumors, 2 liver tumors and 2 shoulder tumors). …”
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Exploring the Effects of Internal and External Factors on the Early Growth of Anchovy (Engraulis japonicus) in the Yellow Sea Based on Otolith Microstructure by Wenwen WANG, Yongjun TIAN, Lijun LIU, Zhuo YIN, Bingqing CHEN, Wenchao ZHANG, Zhenjiang YE

“…A relative time window was integrated into our analysis, and to mitigate the impact of random occurrences among candidate environmental factors, we conducted 500 randomization trials. …”
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