Results 51 to 60 of about 1,550,569 (253)
Low‐frequency noise spectroscopy defines the resolvable conductance states of synaptic FeFETs by coupling read‐current fluctuation with usable dynamic range. The resulting noise‐limited bit precision establishes a universal, device‐agnostic reliability metric beyond the memory window, enabling quantitative benchmarking and rational design of high ...
Jaehong Park +12 more
wiley +1 more source
Entry and Competition in the Pharmaceutical Market following Patent Expiry [PDF]
This dissertation encompasses three essays on entry and competition in the German generic drug market. The first paper examines the market entry decisions of generic companies and finds that original drug producrs do not create barriers to entry by ...
Appelt, Silvia
core +1 more source
This paper examines the standardization of bioequivalence (BE) administration methods for chewable tablets and other dosage forms instructing chewing in alignment for generic drug development.
Hye Lim Lim +4 more
doaj +1 more source
In Silico Methods for Development of Generic Drug–Device Combination Orally Inhaled Drug Products
The development of generic, single‐entity, drug–device combination products for orally inhaled drug products is challenging in part because of the complex nature of device design characteristics and the difficulties associated with establishing ...
Ross L. Walenga +2 more
doaj +1 more source
This report summarizes the proceedings for day 2 sessions 1 and 3 of the 2‐day public workshop entitled “Regulatory Utility of Mechanistic Modeling to Support Alternative Bioequivalence Approaches,” a jointly sponsored workshop by the US Food and Drug ...
Fang Wu +17 more
doaj +1 more source
GENERIC DRUGS MARKET: BRAND VERSUS GENERIC [PDF]
A generic drug is a product that is comparable to brand/reference listed drug product in dosage form, potency, route of administration, quality and intended use.
Badjatya, Jitendra Kumar
core +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source
Environmental Synthesis Radar (ESR) evaluates the environmental impact of (early‐stage) multi‐step chemical syntheses, providing a holistic view by using 18 midpoint impact categories. Unlike conventional life‐cycle assessment (LCA) approaches, ESR reveals three complementary metrics: overall impact Vtotal, environmental hotspots VEF, and critical ...
Laura Plein +8 more
wiley +1 more source
Evaluation of model‐based bioequivalence approach for single sample pharmacokinetic studies
In a traditional pharmacokinetic (PK) bioequivalence (BE) study, a two‐way crossover study is conducted, PK parameters (namely the area under the time‐concentration curve [AUC] and the maximal concentration [Cmax]) are obtained by noncompartmental ...
Coralie Tardivon +10 more
doaj +1 more source

