Artificial intelligence (AI) offers opportunities to improve assessment, visualization, and communication in facial aesthetic surgery; however, its clinical reliability remains uncertain. This study aimed to synthesize contemporary evidence on AI applications, performance, methodological quality, and clinical relevance...
Sarasukma Maharani, Ni Putu Gita Raditya Sanjiwani, I. G. A. N. W. Pramana· International Journal of Soc...· 0 citations
Abstract Transportation incidents remain one of the most significant operational risks in oilfield service operations. Traditional in-vehicle monitoring systems (IVMS) have improved visibility into vehicle behavior and post-incident learning; however, they provide limited capability to measure driver-state behaviors su...
Jason Winsor, Simon Iremonger, Dallas Duncan· SPE Annual Technical Confere...· 0 citations
Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context....
Ushbu maqolada energetika va resurslar samaradorligini oshirishda muqobil energiya manbalari hamda innovatsion texnologiyalarning o'rni yoritilgan. Quyosh, shamol, gidroenergetika va biomassa kabi qayta tiklanuvchi energiya manbalarining afzalliklari, ularning ekologik va iqtisodiy samaradorligi tahlil qilingan. Shunin...
Jahongir Pardayev, Abbos Muhammadiyev· Zenodo (CERN European Organi...· 0 citations
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The global hydrocarbon exploration and production (E&P) industry is severely impacted by increasing produced water management challenges, evidenced by average water-oil ratios (WOR) frequently approaching 9:1. This excessive aqueous phase volume significantly escalates operational expenditure (OPEX) through costly ha...
M. Omer, Sohail M. Sheikh, Miguel J. Duarte et al.· SPE Annual Technical Confere...· 0 citations
Abstract Gas-lift optimization in large oil fields is often constrained by manual well reviews, intermittent well-test data, limited visibility of bottomhole conditions, and difficulty of implementing new setpoints across a large well stock. This document summarizes the field experience from implementing an AI-APC Auto...
E. Rubio, G. Gupta, M. Subaihi et al.· SPE Annual Technical Confere...· 0 citations
Payer population health requires a distinction between predicting an adverse outcome, identifying a documented care gap, and selecting a response. We organized public evidence on computational approaches to these functions in chronic care, with Latin America as the context of interest and international studies retained...
Katherine Monsalve Barrientos, Natalia Castano-Villegas, Jose Zea et al.· Zenodo (CERN European Organi...· 0 citations
This paper presents the engineering approach used to design and implement automation modules for closed-loop drilling, including rate of penetration (ROP) optimization, tripping speed control, pump restart and stop sequencing, and friction testing. The objective is to detail the technical foundations, modeling strate...
Fábio Rodrigues da Silva, C. N. Donatti, G. M. de Oliveira et al.· SPE Annual Technical Confere...· 0 citations
Artificial intelligence (AI) models are capable of generating highly realistic human images with a tendency to stereotypically bias race and gendered features. These models also readily generate emotional faces, but little is known about the perceptual nature of these expressions. To examine if AI-generated facial expr...
An open reply to Andrej Zwitter, "The embodied ethics alignment problem of AI" (*Discover Artificial Intelligence*, 2026). The original paper grades alignment into **strong** (the machine genuinely *is* moral) and **weak** (the machine only *performs* the part), and concludes that strong alignment is a category error,...
Membrane proteins undergo functionally essential conformational transitions that couple local chemical events and changes in the membrane environment to large-scale structural rearrangements. These transitions are often difficult to capture with conventional molecular dynamics (MD) simulations, particularly in complex...
翁经纬, Wenning Wang· Current Opinion in Structura...· 0 citations
The energy investment landscape is undergoing a structural transformation. On the demand side, artificial intelligence infrastructure, data center proliferation, and transportation electrification are driving load growth at rates unseen in decades. On the supply side, transmission bottlenecks, interconnection queues, a...
C. Fraces, G. Moog· SPE Annual Technical Confere...· 0 citations
