Results 201 to 210 of about 45,458 (300)

In Vitro Metabolism of Δ8‐, Δ9‐, and Δ10‐THC in Human Hepatocytes: Distinct Δ10‐THC Biotransformation and Implications for Drug Testing

Drug Testing and Analysis, EarlyView.
Δ8‐THC and Δ9‐THC showed comparable metabolic profiles. In contrast, Δ10‐THC underwent extensive glucuronidation and hydroxylation, with only minor formation of a carboxy metabolite, indicating a markedly different metabolic pathway. These differences may increase the risk of misidentification and misinterpretation in cannabis drug testing.
Robert Kronstrand, Henrik Green, Markus Loh, Fabian Rüttimann, Manuela Carla Monti   +4 more
wiley   +1 more source

Review of large YOLOv8 and RT-DETR energy efficiency on edge devices for real-time detection. [PDF]

Sci Rep
Suchý I, Turčaník M.
europepmc   +1 more source

Detection of Testosterone Esters in Urine: Evidence of Trace‐Level Detectability in Doping Control Samples

Drug Testing and Analysis, EarlyView.
An ultrasensitive LC‐MS/MS method for detecting testosterone esters (T‐esters) in urine at sub–pg/mL levels is presented. This approach, employing Girard P derivatization, provides the first evidence of T‐esters' trace‐level detectability in human urine.
Daniel Pecher, Guro Forsdahl, Biljana Stojanovic, Günter Gmeiner   +3 more
wiley   +1 more source

Atlas-level single-cell integration and clustering-free differential expression analysis with GEDI 2.0. [PDF]

Bioinformatics
Mikaeili Namini A, Saberi A, Najafabadi HS.   +2 more
europepmc   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

Predicting gene-specific regulation with transcriptomic and epigenetic single-cell data. [PDF]

Bioinformatics
Rumpf L, Behjati Ardakani F, Hecker D, Schulz MH.   +3 more
europepmc   +1 more source

Advancing mine pillar design: Evaluating traditional methods and integrating AI for enhanced stability of pillars in the Great Dyke, Zimbabwe

Deep Underground Science and Engineering, EarlyView.
B1 is bord width 1, B2 is bord width 2, L is the pillar length, W is the pillar width, red color and letter A represent the pillars, and white color and number 1 represent excavated areas. Pstress is the average pillar stress; σv is the vertical component of the virgin stress, MPa; and e is the areal extraction ratio. e = B o B o + B P ${\rm{e}}=\frac{{
Tawanda Zvarivadza, Hendrik Grobler, Peter Apata Olubambi, Moshood Onifade, Manoj Khandelwal   +4 more
wiley   +1 more source

A Comparative Analysis of Explainable AI (XAI) Techniques for Transparent and Reliable Image Classification. [PDF]

Entropy (Basel)
Chakraborty S, Dipto SM, Pilkiewicz KR, Mayo ML, Rana P.   +4 more
europepmc   +1 more source

From Ship to Shore: A Review of Vessel‐To‐Grid Bidirectional Charging for Sustainable Maritime Transport

EcoEnergy, EarlyView.
As maritime transport electrifies, bidirectional charging (V2G) offers a dual‐purpose solution for energy resilience and economic viability. This work identifies key technological advancements and lifecycle challenges utilizing practical case studies to demonstrate how V2G systems can drive decarbonization and grid stability in the marine sector ...
Jonathan Bloor, Tamer Kamel, Sarah Fear, Lee J. Durndell   +3 more
wiley   +1 more source

V-CHIMERA: An Immune-Inspired Verified Framework for Organizational Cyber Crisis Response Under Misinformation. [PDF]

Biomimetics (Basel)
Alghamdi F, Alqithami S.
europepmc   +1 more source