Nitrogen and phosphorus Co-doped ZnO-CdO nanocomposite with boosted photocatalytic degradation of crystal violet by Gebru Neda, Abi M. Taddesse, Isabel Diaz, Ahmed M. Mohammed, Álvaro Mayoral, Jemal M. Yassin

“…Effect of biogenic doping on the band structures of the binary heterojunction was also studied using Density Functional Theory (DFT). …”
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LLaMA 3 vs. State-of-the-Art Large Language Models: Performance in Detecting Nuanced Fake News by Stefan Emil Repede, Remus Brad

“…However, the model’s performance across both languages highlights some challenges, with generally low accuracy and difficulties in handling ambiguous categories by all the LLMs. The study also underscores the impact of language and cultural context on model reliability, noting that even state-of-the-art models like ChatGPT 4.o and Gemini exhibit inconsistencies when applied to Romanian text and more than a binary true/false approach.…”
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Network-based intrusion detection using deep learning technique by Muhammad Farhan, Hafiz Waheed ud din, Saadat Ullah, Muhammad Sajjad Hussain, Muhammad Amir Khan, Tehseen Mazhar, Umar Farooq Khattak, Ines Hilali Jaghdam

“…The interesting novelty of this study is the tactical use of ReLU-based DNN combined with feature optimization through the Extra Tree Classifier, which not only overcomes general problems like vanishing gradients and overfitting but also greatly increases the interpretability of the model and the efficiency of its computation. …”
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Physico-Chemical and Texture Properties of Gelatin-Free Jelly Desserts by Nepovinnykh N., Petrova O., Belova N., Yeganehzad S.

“…The polysaccharides under analysis included alginate, pectin, iota-carrageenan, konjac glucomannan, xanthan, and guar gum, separately or in binary mixtures. The experiment made it possible to determine polysaccharides and their optimal concentrations (konjac glucomannan 0.4 % : xanthan gum 0.6 %; locust bean gum 0.2 % : xanthan gum 0.8 %; iota-carrageenan 0.4 %) as gelling agents for the production of desserts without gelatin. …”
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Model Transportasi Jalur Laut untuk Distribusi Semen Curah by Jenny Andres Yunirman

“… Cement industry as one of economic agents in addition to technology-intensive production requires good planning also requires planning and transportation patterns of distribution of efficient and effective way to market their products. …”
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Towards Effective Parkinson’s Monitoring: Movement Disorder Detection and Symptom Identification Using Wearable Inertial Sensors by Umar Khan, Qaiser Riaz, Mehdi Hussain, Muhammad Zeeshan, Björn Krüger

“…Utilizing the inertial data acquired from the most affected upper limb of the patients, this study aims to create an optimal pipeline for Parkinson’s patient monitoring. …”
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Improving meningitis surveillance and diagnosis with machine learning: Insights from São Paulo. by Audêncio Victor, Diego Augusto Medeiros Santos, Eduardo Koerich Nery, Danilo Pereira Mori, Pamella Cristina de Carvalho Lucas, Denise Cammarota, Guillermo Leonardo Florez Montero, Fabiano Novaes Barcellos Filho, Ana Lúcia Frugis Yu, Telma Regina Marques Pinto Carvalhanas

“…XGBoost and LightGBM also showed promising results with AUC-ROC scores of 0.94 and 0.92, respectively, for binary classification. …”
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A Novel Gene Stacking Method in Plant Transformation Utilizing Split Selectable Markers by Guoliang Yuan, Md Islam, Gerald Tuskan, Xiaohan Yang

“…However, in most cases, there is only one best selectable marker gene for a specific plant species or genotype. Also, it is harder to optimize the concentrations of two antibiotics for co-transformation than using one antibiotic for selecting transgenic events. …”
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Reliable Event Detection via Multiple Edge Computing on Streaming Traffic Social Data by Yipeng Ji, Jingyi Wang, Yan Niu, Hongyuan Ma

“…Then, we utilize graph neural networks to perform semi-supervised learning on HIN to obtain the optimal meta-path weights. We also develop Binary Sample Graph Convolutional Neural Network (BS-GCN) and Binary Sample Graph Attention Network (BS-GAT) to improve the reliability of graph neural network models based on the characteristics of traffic event detection and design an incremental clustering algorithm based on event similarity to implement streaming social traffic event detection. …”
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Deep learning with data transformation improves cancer risk prediction in oral precancerous conditions by John Adeoye, Yuxiong Su

“…Overall, decision curve analysis showed that the optimal DL models with transformed data had a higher net benefit than random forest and binary dysplasia grading. …”
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Advanced GPU Techniques for Dynamic Remeshing and Self-Collision Handling in Real-Time Cloth Tearing by Jong-Hyun Kim, Jung Lee

“…We also present a method to optimize kernels based on a complete binary tree in arbitrary triangular meshes, improving performance. …”
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Association between myopia progression and cylinder power progression in defocus incorporated multiple segments lens wearers by Ling Wang, Qing Zhang, Tingting Zhou, Wenli Yu, Jincheng Wang, Ran Li, Qin Chen, Qingbo Que, Xiaomin Gao

“…Furthermore, baseline CA was also associated with ΔCP in participants over the course of the study. …”
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Black-box and white-box machine learning tools to estimate the frost formation condition during cryogenic CO2 capture from natural gas blends by Farag M.A. Altalbawy, Fadhel F. Sead, Dharmesh Sur, Anupam Yadav, José Gerardo León Chimbolema, Suhas Ballal, Abhayveer Singh, Anita Devi, Kamal Kant Joshi, Nizomiddin Juraev, Hossein Mahabadi Asl

“…The models were also capable of predicting the FFT of CO2 in both binary and ternary blends, and favorably captured the complicated physical variations of FFT under diverse operating conditions. …”
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Twin Screw Melt Granulation of Simvastatin: Drug Solubility and Dissolution Rate Enhancement Using Polymer Blends by Rasha M. Elkanayati, Indrajeet Karnik, Prateek Uttreja, Nagarjuna Narala, Sateesh Kumar Vemula, Krizia Karry, Michael A. Repka

“…<b>Conclusions:</b> This study demonstrates the effectiveness of TSMG, and HME as effective continuous manufacturing technologies for improving the therapeutic efficacy of poorly water-soluble drugs. It also emphasizes the complexity of polymer–drug interactions and the necessity of carefully selecting compatible polymers to optimize the quality and performance of pharmaceutical formulations.…”
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THE INTERPLAY OF GENDER, AGE, EDUCATION LEVEL AND THERMAL SATISFACTION: EVIDENCE FROM BOSNIA AND HERZEGOVINA by Ljiljan Veselinović, Jasmina Mangafić

“…The findings of this paper could also offer useful guidelines when designing more complex studies, especially regarding the debate if the use of a Likert scale is appropriate. …”
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Generalized Grey Target Decision Method for Mixed Attributes Based on Connection Number by Jinshan Ma, Changsheng Ji

“…Case study demonstrated that this approach can not only unify different types of numbers, and simplify the calculation but also reduce the information distortion in operating fuzzy numbers.…”
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Selective Adsorption Properties of a Model Nano-Patterned Surface by Paweł Szabelski, Agnieszka Guz

“…Apart from the adsorptive separation, we also considered the thermal desorption of the mixture and model one-component and binary desorption spectra from the nano-patterned surfaces. …”
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Predictive value of the preoperative C-reactive protein-to-albumin ratio for surgical site infection after percutaneous kyphoplasty: a single-center retrospective study by Shuai Tang, Wenhua Gong, Xiaocui Han, Shuo Han, Hao Zhang, Zheng Lian

“…The receiver operating characteristic curve was used to determine the optimal cutoff value of preoperative CAR for predicting SSI, and binary logistic regression analysis was employed to evaluate the predictive value of CAR for SSI. …”
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CNN Convolutional layer optimisation based on quantum evolutionary algorithm by Tzyy-Chyang Lu

“…In this paper, a quantum convolutional neural network (CNN) architecture is proposed to find the optimal number of convolutional layers. Since  quantum bits use probability to represent binary information, the quantum CNN does not represent the actual network, but the probability of existence of each convolutional layer, thus achieving the aim of training weights and optimising the number of convolutional layers at the same time. …”
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An Educational RISC-V-Based 16-Bit Processor by Jecel Mattos de Assumpção, Oswaldo Hideo Ando, Hugo Puertas de Araújo, Mario Gazziro

“…The project also includes tools and scripts to help students transform assembly code into binary format, making it easier for them to test and verify their designs. …”
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