Antidiabetic Potentials of Button Mushroom (Agaricus bisporus) on Alloxan-Induced Diabetic Rats by Nuraeni Ekowati, Nilasari Indah Yuniati, Hernayanti Hernayanti, Nuniek Ina Ratnaningtyas

“…A. bisporus extract 500 mg/kg BW is the most effective dose to be used. Based on Thin Layer Chromatography (TLC) test, it was known that secondary metabolites produced by A. bisporus are flavonoids, alkaloids, terpenoids and saponins. …”
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Learning from multiple frameworks for aquifer vulnerability mapping and multiple modelling practices in groundwater vulnerability mapping studies by Ata Allah Nadiri, Zeynab Abdollahi, Zahra Sedghi, Rahman Khatibi, Rahim Barzegar

“…Each framework relates to multiple consensually selected data layers with an appropriate scoring system, which reflects intrinsic variances in the data layers and MF is particularly appropriate to shallow and patchy study areas. …”
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A novel approach to refining mesoscale geometric modeling for segregation in concrete by Qifan Ren, João Pacheco, Jorge de Brito, Yao Wang, Jianhua Hu

“…In this method, coarse aggregate particles are generated as ellipsoids of random geometry and are randomly placed within concrete. …”
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Studies on characterization of composite materials components for part production in agricultural industry by Imad Rizakalla Antypas, Alexey G. Dyachenko

“…This differs from the value given for fiberglass by the cutting and random mixing technique ( Еc = 3200 MPa).…”
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Nowcasting Solar Irradiance Components Using a Vision Transformer and Multimodal Data from All-Sky Images and Meteorological Observations by Onon Bayasgalan, Atsushi Akisawa

“…Due to its capability of understanding the overall characteristics of the image through self-attention, a vision transformer is utilized for the image branch while normal dense layers process the tabular meteorological data. The proposed architecture is compared against the baselines of the Ineichen clear sky model, a feedforward neural network (FFNN) where cloud coverage is computed from the ASIs by a simple color-channel threshold algorithm, and a hybrid of FFNN and U-Net model, which replaces the color threshold algorithm with fully convolutional layers for cloud segmentation. …”
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Enhancing Emergency Response in Road Accidents: A Severity Prediction Framework Using RF-RFE and Deep Learning Model by Chaimaa Chaoura, Hajar Lazar, Zahi Jarir

“…The dataset is refined using Random Forest Recursive Feature Elimination (RF-RFE) to select key features influencing accident severity. …”
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A Comparative Study of Ground-Based and Drone-Based GPR: Opportunities, Challenges, and Applications in Bromo, Indonesia by Jannah Afni Nur, Paramita Eksi Galih Kenya, Zukhrufah Syabibah Zakiyya, Rochman Juan Pandu Gya Nur, Azhali Firmansyah Maulana

“…The results of ground-based GPR data appeared more random, with less distinct reflectors due to surface conditions like vegetation and rough terrain, despite noise filtering. …”
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Explainable Supervised Learning Models for Aviation Predictions in Australia by Aziida Nanyonga, Hassan Wasswa, Keith Joiner, Ugur Turhan, Graham Wild

“…A comparative evaluation of four machine learning algorithms is conducted for a three-class classification task:—Support Vector Machine (SVM), Logistic Regression (LR), Random Forest (RF), and a deep neural network (DNN) comprising five hidden layers. …”
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Importance Analysis of Causative Nodes for Accident Chains of Railway Locomotive Operation Based on STPA-PageRank Method by Ping WAN, Wei-Lun YANG, Jie-Wen LUO, Xiao-Feng MA

“…Nowadays, in terms of complex and random incidents for locomotive operation, the prevention and control for every tiny and possible influencing factor is not only costly, but also brings great psychological burden to locomotive drivers. …”
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Genetic Mechanisms and Identification of Low-Resistivity Pay Zones: A Case Study of Pengyang Area, Ordos Basin, China by Peiqiang Zhao, Yuting Hou, Fengqing Ma, Jixin Huang, Xiaoyu Wang, Jiarui Xie, Chengxiang Deng, Zhiqiang Mao

“…It was found that large variations of formation water salinity, high irreducible water saturation, and clay conductivity are the primary genetic types. Further, the random forest (RF) algorithm with sensitive parameter inputs was used to identify the oil, oil and water, and water layers. …”
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Adaptive-opportunistic Aloha: A media access control protocol for unmanned aerial vehicle–wireless sensor network systems by Ling Wang, Hanshang Li, Yingtao Jiang

“…In order for unmanned aerial vehicle to uniformly collect data from the ground sensors that are distributed in a random fashion, adaptive-opportunistic Aloha adopts a priority-based mechanism for channel assignment and collision avoidance, and importantly, the priority could be adaptively changed according to locations and distribution of the sensors. …”
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Die Grenzempfindlichkeit bildaufzeichnender Systeme by W.F. Berg

“…The main reason for the relatively poor performance of photographic emulsions lies in the recording and coding of the image by means of a random distribution of go–no go receivers: the emulsion micro-crystals. …”
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The impact of family farming on Afrotropical flower fly communities (Diptera, Syrphidae): A case study in Tanzania. by Sija Kabota, Jacqueline Bakengesa, Jenipher Tairo, Abdul Kudra, Ramadhani Majubwa, Marc De Meyer, Maulid Mwatawala, Kurt Jordaens, Massimiliano Virgilio

“…Spatial heterogeneity and seasonality also provided a large and significant proportion of random variability. Our results stress how verifying a generally accepted paradigm of sustainable agriculture, "agroecology promotes abundance and diversity of beneficial insects", might require careful consideration, as, under field conditions, the impact of sustainable farming practices on insect communities might be embedded within complex, multi-layered ecological interactions.…”
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A hybrid learning approach for MRI-based detection of alzheimer’s disease stages using dual CNNs and ensemble classifier by Sepideh Zolfaghari, Atra Joudaki, Yashar Sarbaz

“…Initially, these images were resized and augmented before being input into Network 1 and Network 2, which have different structures and layers to extract important features. These features were then fused and fed into an ensemble learning classifier containing Support Vector Machine, Random Forest, and K-Nearest Neighbors, with hyperparameters optimized by the Grid Search Cross-Validation technique. …”
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Enhancing Smart City Functions through the Mitigation of Electricity Theft in Smart Grids: A Stacked Ensemble Method by Muhammad Hashim, Laiq Khan, Nadeem Javaid, Zahid Ullah, Ifra Shaheen

“…These advanced IOTs and cyber layers introduced new types of vulnerabilities and could compromise the stability of smart grids. …”
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Accurate disaster entity recognition based on contextual embeddings in self-attentive BiLSTM-CRF. by Noor E Hafsa, Hadeel Mohammed Alzoubi, Atikah Saeed Almutlq

“…These contextual word embedding features, combined with lexicon features, are encoded using a novel contextualized deep Bi-directional LSTM network augmented with self-attention and conditional random field (CRF) layers. We compare the performance of our proposed model with existing word embedding approaches. …”
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A Hybrid Deep Learning Model for UAV Path Planning in Dynamic Environments by Junchi Zhang, Yanning Xian, Xun Zhu, Hongtao Deng

“…However, the commonly used Rapidly-exploring Random Tree (RRT) algorithm for UAV path planning often generates suboptimal paths that require extensive post-processing to improve. …”
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An Experimental Study on the Hardness, Inter Laminar Shear Strength, and Water Absorption Behavior of Habeshian Banana Fiber Reinforced Composites by Kiran Shahapurkar, Gezahgn Gebremaryam, Gangadhar Kanaginahal, S. Ramesh, Nik-Nazri Nik-Ghazali, Venkatesh Chenrayan, Manzoore Elahi M Soudagar, Yasser Fouad, M.A. Kalam

“…Using the hand-lay-up method, six distinct samples are created that are composed of layers of woven and short banana fibers in both a plain and hybrid form. …”
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Secret Key Generation Driven by Attention-Based Convolutional Autoencoder and Quantile Quantization for IoT Security in 5G and Beyond by Anas Alashqar, Ehsan Olyaei Torshizi, Raed Mesleh, Werner Henkel

“…Physical-layer secret key generation (PSKG) has emerged as a promising technique for enhancing wireless security in Internet of Things (IoT) networks by exploiting the reciprocity of uplink and downlink channels. …”
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Experiences and perceptions of students in occupational therapy regarding the use of desktop virtual environments-based simulation: a qualitative study by Zhizhuo Wang, Peiyun Wu, Shaoyun Shi, Weiwei Zhang, Cheng Lin

“…The interviewees were randomly selected via computer-generated randomization from a pool of 53 invited students studying occupational therapy. …”
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