Synchronizing N Release from Organic Residues: Opportunities for Integrated Management of N by U. Singh, K.E. Giller, C.A. Palm, J.K. Ladha, H. Breman

“…This paper will synthesize the information generated from integrated nutrient management trials in sub-Saharan Africa and the Philippines. …”
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Investigation on the arc erosion performance of Ag–Ta2AlC composite under air conditions by Xiaochen Huang, Liang Li, Jinlong Ge, Hao Zhao, Zijue Zhou

“…The Ta2AlC material is designed to enhance the performance of Ag-based electrical contact materials as a reinforcement phase. With a work function of 6.7192 eV, Ta2AlC demonstrated significantly higher values than reinforcement phase materials such as SnO2, ZrO2, and the commonly used MAX phase materials. …”
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Effect of Cutting Tool Rake and Inclination Angles and Feeding Method on Cutting Force and Surface Quality in Single-point Threading by Rzgar Mhammed Abdalrahman, Sarkawt Rostam, Abdelhakim Deboucha

“…The process has problems of surface quality and power consumption because of lack of information regarding the effect of the tool’s rake and inclination angles and feeding method on surface quality and cutting forces as a function of cutting power. This study investigates influences of tool infeed method, rake, and inclination angles on surface quality of thread flanks and the cutting forces generated. …”
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The Possibility of Object-Oriented Film Philosophy by Bolšakovas Edgaras

“…It allows for a deeper understanding of how films function as objects and the ways they generate meaning in relation to viewers.…”
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Improved Artificial Bee Colony Optimization Underwater Localization Algorithm by Logistic Chaos Mapping and Differential Evolution by Jiaxing CHEN, Yang LIU, Xiaoqian LIU, Zhihua LIU

“…The chaotic sequence generated by the mapping function was employed as a replacement for the random number generator, with the objective of achieving a more uniform distribution of the population during the initial distribution phase. …”
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Multifractal Analysis of Geological Data Using a Moving Window Dynamical Approach by Gil Silva, Fernando Pellon de Miranda, Mateus Michelon, Ana Ovídio, Felipe Venturelli, Letícia Moraes, João Ferreira, João Parêdes, Alexandre Cury, Flávio Barbosa

“…Validations for the proposed methodology were performed using controlled artificial data generated from Weierstrass–Mandelbrot functions. Then, the methodology was applied to real geological profile data measuring permeability and porosity in oil wells, revealing the fractal dimensions of these data along the depth of each analyzed case. …”
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The Heavy‐Tailed Inverse Power Lindley Type‐I Model: Reliability Inference and Actuarial Applications by Amal S. Hassan, Diaa S. Metwally, Mohammed Elgarhy, Rokaya Elmorsy Mohamed

“…This distribution is derived by applying the generator of the Type‐I heavy‐tailed family to the inverse power Lindley model. …”
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Investigating age-related muscle force adaptations in males and females during sit-to-walk transition motion using EMG-informed modeling by Zakia Hussain, Alpha Agape Gopalai, Siti Anom Ahmad, Mazatulfazura Sf Binti Salim, Darwin Gouwanda, Pei-Lee Teh

“…However, older adults consistently generated lower forces in these muscles during rising (except for the soleus). …”
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A machine-learning approach for predicting butyrate production by microbial consortia using metabolic network information by Claudia Silva-Andrade, Sergio Hernández, Pedro Saa, Ernesto Perez-Rueda, Daniel Garrido, Alberto J. Martin

“…Despite its importance, there is a lack of computational methods capable of predicting its production as a function of the consortium composition. Here, we present a novel machine-learning approach leveraging automatically generated genome-scale metabolic models to tackle this limitation. …”
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Modal Shift in Public Transport Under Fiscal-Based Policies Scenarios for Jakarta by Alfa Adib Ash Shiddiqi, Dwita Sutjiningsih, Tri Tjahjono, Linda Darmajanti, Gede B. Suprayoga

“…A stated preference survey was conducted, and a binomial logit model and standard utility function were developed for analysis. Diagrams showing commuters' willingness to shift to public transport were then generated from the analysis. …”
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Genetically Engineered Bacterial Ghosts as Vaccine Candidates Against <i>Klebsiella pneumoniae</i> Infection by Svetlana V. Dentovskaya, Anastasia S. Vagaiskaya, Alexandra S. Trunyakova, Alena S. Kartseva, Tatiana A. Ivashchenko, Vladimir N. Gerasimov, Mikhail E. Platonov, Victoria V. Firstova, Andrey P. Anisimov

“…<b>Results:</b> In the current study, we showed that co-expression of the holin and endolysin genes from the L-413C phage elicited more rapid and efficient <i>K. pneumoniae</i> lysis than lysis mediated by only single gene <i>E</i> or the low functioning holin–endolysin system of λ phage. …”
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Comparative evaluation of artificial intelligence models GPT-4 and GPT-3.5 in clinical decision-making in sports surgery and physiotherapy: a cross-sectional study by Sönmez Saglam, Veysel Uludag, Zekeriya Okan Karaduman, Mehmet Arıcan, Mücahid Osman Yücel, Raşit Emin Dalaslan

“…Participants evaluated 10 standardized clinical scenarios generated by GPT-4 and GPT-3.5 using a 5-point Likert scale. …”
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Asymptotic Theory in Model Diagnostic for General Multivariate Spatial Regression by Wayan Somayasa, Gusti N. Adhi Wibawa, La Hamimu, La Ode Ngkoimani

“…In this work, we assume that the components of the observation, whose mean is generated by a certain basis, are correlated. By this reason we need more effort in deriving the results. …”
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Endothelial trauma in the surgery of cataract by Đurović Branislav M.

“…Owing to sophisticated technologies, it has become a routine surgery with lowered complications rate; hence, the functional outcome is more conditioned by operative trauma. …”
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Structure of loop space at finite N by Robert de Mello Koch, Antal Jevicki

“…Abstract The space of invariants for a single matrix is generated by traces containing at most N matrices per trace. …”
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Parameterizing the Tip Effects of Submerged Vegetation in a VARANS Solver by Lai Jiang, Jisheng Zhang, Hao Chen, Chenglin Liu, Mingzong Zhang

“…The two-scale <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mfenced open="⟨" close="⟩" separators="|"><mrow><mi>k</mi></mrow></mfenced><mo>−</mo><mfenced open="⟨" close="⟩" separators="|"><mrow><mi>ε</mi></mrow></mfenced></mrow></semantics></math></inline-formula> turbulence model is further modified with the inclusion of a new damping function to capture the suppression of wake generation. …”
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Face Detection and Segmentation Based on Improved Mask R-CNN by Kaihan Lin, Huimin Zhao, Jujian Lv, Canyao Li, Xiaoyong Liu, Rongjun Chen, Ruoyan Zhao

“…To overcome this drawback, we present a face detection and segmentation method based on improved Mask R-CNN, named G-Mask, which incorporates face detection and segmentation into one framework aiming to obtain more fine-grained information of face. Specifically, in this proposed method, ResNet-101 is utilized to extract features, RPN is used to generate RoIs, and RoIAlign faithfully preserves the exact spatial locations to generate binary mask through Fully Convolution Network (FCN). …”
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Surfactants Adsorption onto Algerian Rock Reservoir for Enhanced Oil Recovery Applications: Prediction and Optimization Using Design of Experiments, Artificial Neural Networks, and... by Kahina Imene Benramdane, Mohamed El Moundhir Hadji, Mohamed Khodja, Nadjib Drouiche, Bruno Grassl, Seif El Islam Lebouachera

“…While DOE showed a slight advantage in relative error (9.10 × 10⁻⁵% vs. 1.88 × 10⁻⁴% for ANN), ANN proved more effective overall. Three optimization approaches—ANN-GA, DOE-GA, and DOE-DF (desirability function)—were compared, all converging to the same optimal conditions (SDS at 200 ppm and 25 °C). …”
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MiMeNet: Exploring microbiome-metabolome relationships using neural networks. by Derek Reiman, Brian T Layden, Yang Dai

“…The advance in microbiome and metabolome studies has generated rich omics data revealing the involvement of the microbial community in host disease pathogenesis through interactions with their host at a metabolic level. …”
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Deep Learning System for E-Waste Management by Godfrey Perfectson Oise, Susan Konyeha

“…Rapid urbanization has resulted in increased waste generation, necessitating a more intelligent and efficient approach to e-waste collection and disposal. …”
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