Scaling photonic systems-on-chip production with neural networks by Yadav Ksenia, Bidnyk Serge, Balakrishnan Ashok

“…We describe our use of deep learning to optimize the multi-dimensional parameter space of systems-on-chip as an important step towards the scalable production of photonic solutions and their widespread integration into high-volume applications. …”
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Discharge-pulse compression of composite materials by Stanislav V. Neskoromniy, Sergey V. Lemeshev, Stanislav O. Ageyev, Evgeny L Strizhakov

“…Increasing the operational life of the cutting end of the metalworking tool through face-hardening with powdered materials is an urgent task. …”
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LFM: An R package for laplace factor model by Siqi Liu, Guangbao Guo

“…The Laplace Factor Model (LFM) is a valuable mathematical tool used in statistics, machine learning, and data analysis. …”
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Analysis of COVID-19 Disease Model: Backward Bifurcation and Impact of Pharmaceutical and Nonpharmaceutical Interventions by Ibad Ullah, Nigar Ali, Ihtisham Ul Haq, Imtiaz Ahmad, Mohammed Daher Albalwi, Md. Haider Ali Biswas

“…The SEIQHR model, introduced in this study, serves as a valuable tool for anticipating the emergence of various infectious diseases, such as COVID-19 and illnesses transmitted by insects. …”
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New Diagnostic Interview of Mother-Child Attachment Patterns by T. V. Kapustina, R. V. Kadyrov, I. S. Ilina

“…The questionnaire could be used as a psychodiagnostic tool by practicing psychologists as part of psychological counseling or for research purposes.…”
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Forecasting Methodology of Scientific Investigations and Innovations Sphere’s Indicators by Means of Neural Networks by I. B. Kolmakov, M. V. Domozhakov

“…The aim of the work is to elaborate the methodology, economic and mathematic models and tool means for short-term forecasting the scientific investigations and innovations sphere’s indicators. …”
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Movement-based mind-body interventions for cardiac rehabilitation: An updated systematic review of randomized controlled trials by Chun-Hou Huang, Shen-Feng Chao, Yi-Tso Cheng, Pei-Chun Lai, I-Hsin Lin, Tai-Chu Peng

“…Two reviewers independently assessed the quality of all the included studies using the revised Cochrane risk-of-bias tool for RCTs. Sixteen RCTs (5160 participants) published between 1996 and 2020 met all inclusion criteria. …”
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Mandibular Splint: Correction of Jaw Deviation following Hemimandibulectomy by R K Karna, D K Vijaykumar, R V Kanade, T Cherian

“…The mandibular splint was found to be a useful tool for the correction of jaw deviation following hemimandibulectomy, especially in edentulous patients.…”
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Convolutional neural network (CNN) configuration using a learning automaton model for neonatal brain image segmentation. by Iran Sarafraz, Hamed Agahi, Azar Mahmoodzadeh

“…CNN is considered an efficient tool in brain image segmentation. However, neonatal brain images require specific methods due to their nature and structural differences from adult brain images. …”
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Adsorption of some Metal Ions from Aqueous Solution on Iraqi Rice Bran and Its Relation to the Physical Properties of these Metal Ions by Baghdad Science Journal

“…Adsorption studies were carried out to test the ability of the Iraqi rice bran (Amber type) to adsorb some metals divalent cations (Cd2+, Co2+, Cu2+, Fe2+, Ni2+, Pb2+, and Zn2+) as an alternative tool to remove these pollutants from water. The Concentrations of these ions in water were measured using flame and flamless atomic absorption spectrophotometry techniques. …”
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An automated interface for sedimentation velocity analysis in SEDFIT. by Peter Schuck, Samuel C To, Huaying Zhao

“…Sedimentation velocity analytical ultracentrifugation (SV-AUC) is an indispensable tool for the study of particle size distributions in biopharmaceutical industry, for example, to characterize protein therapeutics and vaccine products. …”
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The Logarithmic Derivative in Scientific Data Analysis by Ruediger Grunwald

“…The logarithmic derivative has been shown to be a useful tool for data analysis in applied sciences because of either simplifying mathematical procedures or enabling an improved understanding and visualization of structural relationships and dynamic processes. …”
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CO2 Methanation: Thermodynamic Simulations for Enhanced Methane Production and Hydrogen Source Evaluation by Bruna G. Floriam, Leticia M. S. Barros, Aulus R. R. Bineli, Rubens Maciel Filho

“…Carbon dioxide (CO2) methanation has emerged as a powerful tool, allowing CO2-rich gas utilization to generate value-added products, such as methane (CH4), which can be used as a fuel and chemicals. …”
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Deterministic and Stochastic Study for a Microscopic Angiogenesis Model: Applications to the Lewis Lung Carcinoma. by Marek Bodnar, Pilar Guerrero, Ruben Perez-Carrasco, Monika J Piotrowska

“…Angiogenesis modelling is an important tool to understand the underlying mechanisms yielding tumour growth. …”
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Analytical Model of Random Variation in Drain Current of FGMOSFET by Rawid Banchuin

“…So, this model has been found to be an efficient tool for the variability aware analysis and design of FGMOSFET based circuit.…”
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Multifractal analysis and support vector machine for the classification of coronaviruses and SARS-CoV-2 variants by J. P. Correia, L. R. da Silva, R. Silva

“…By extracting fractal parameters from CGR images, we constructed a state space that effectively distinguishes different species and variants. …”
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Design and Simulation of a Pedal Operated Hacksaw Machine. by Amanya, John Jackin

“…The results show that the pedal-operated hacksaw can achieve satisfactory cutting performance with minimal user effort, making it a viable tool for sustainable and low-energy applications.…”
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Computer-Aided Intra-Operatory Positioning of an MRgHIFU Applicator Dedicated to Abdominal Thermal Therapy Using Particle Swarm Optimization by Yacine M'Rad, Caecilia Charbonnier, Marcelo Elias de Oliveira, Pauline Coralie Guillemin, Lindsey Alexandra Crowe, Thibaud Koessler, Pierre-Alexandre Poletti, Sana Boudabbous, Alexis Ricoeur, Rares Salomir, Orane Lorton

“…This paper presents a software tool developed to optimize the positioning of a HIFU transducer dedicated to abdominal thermal therapy, to maximize the treatment's efficiency while minimizing the near-field risk. …”
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A mobile hybrid deep learning approach for classifying 3D-like representations of Amazonian lizards by Arthur Gonsales da Silva, Arthur Gonsales da Silva, Roger Pinho de Oliveira, Caio de Oliveira Bastos, Caio de Oliveira Bastos, Elena Almeida de Carvalho, Bruno Duarte Gomes

“…In this study, we present the development of a hybrid machine learning-based tool suitable for deployment on mobile devices. This tool is aimed at processing and classifying three-dimensional samples of endemic lizard species from the Amazon rainforest. …”
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Renal Resistive Index from Renal Hemodynamics to Cardiovascular Risk: Diagnostic, Prognostic, and Therapeutic Implications by Giulio Geraci, Pietro Ferrara, Luigi La Via, Alessandra Sorce, Vincenzo Calabrese, Giuseppe Cuttone, Valentina Paternò, Francesco Pallotti, Gianluca Sambataro, Luca Zanoli, Jacob George, Riccardo Polosa, Giuseppe Mulè, Caterina Carollo

“…Among the various Doppler-derived parameters, the renal resistive index (RRI) has gained particular attention both as a diagnostic tool and a prognostic marker in nephrology. …”
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