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- Cieslak, Anna M., et al.
(författare)
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Ultra long-lived electron-hole separation within water-soluble colloidal ZnO nanocrystals : Prospective Applications For Solar Energy Production
- 2016
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Ingår i: Nano Energy. - : Elsevier BV. - 2211-2855. ; 30, s. 187-192
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Tidskriftsartikel (refereegranskat)abstract
- Zinc oxide was one of the first semiconductors used in dye-sensitized solar cells but its instability in aqueous media precludes its use for large-scale applications. Herein, we report on a novel ZnO nanocrystal material derived by an organometallic approach that is simultaneously stable and soluble in water due to its carboxylate oligoethylene glycol shell strongly anchored to the inorganic core by the head groups. The resulting unique inorganic core-organic shell interface also stabilizes the photo-generated hole, leading to a dramatic slowing down of charge recombination, which otherwise is a major hurdle in using nanostructured ZnO.
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| 2. |
- Sá, Jacinto, et al.
(författare)
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Synthesis, Characterization and Application to Catalysis of ZnO Nanocrystals
- 2015
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Ingår i: Chemical Science Review and Letters. - 2278-6783. ; 4:14, s. 735-745
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Tidskriftsartikel (refereegranskat)abstract
- Nano-metal oxides gained considerable importance due to theirdistinct catalytic activities in various organic transformations dueto the combination of high surface area and unusually reactivemorphologies. ZnO is an important semiconductor material, witha wide range of applications including: pigments, cosmetics,chemical sensors, solar cells and optoelectronics. Additionally,ZnO nanocrystals (NCs) are an eco-friendly, non-toxic,inexpensive and commercially available material, which isstarting to be exploited as a potentially economical and highlyefficient catalyst for a plethora of organic reactions. Herein, wereview fundamentals of ZnO NCs preparation and the recentdevelopments in reactions catalysed by ZnO NCs with specialfocus on solventless transformations.
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| 3. |
- van Genugten, Claire R., et al.
(författare)
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A Data-Driven Clustering Method for Discovering Profiles in the Dynamics of Major Depressive Disorder Using a Smartphone-Based Ecological Momentary Assessment of Mood
- 2022
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Ingår i: Frontiers in Psychiatry. - : Frontiers Media SA. - 1664-0640. ; 13
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Tidskriftsartikel (refereegranskat)abstract
- BackgroundAlthough major depressive disorder (MDD) is characterized by a pervasive negative mood, research indicates that the mood of depressed patients is rarely entirely stagnant. It is often dynamic, distinguished by highs and lows, and it is highly responsive to external and internal regulatory processes. Mood dynamics can be defined as a combination of mood variability (the magnitude of the mood changes) and emotional inertia (the speed of mood shifts). The purpose of this study is to explore various distinctive profiles in real-time monitored mood dynamics among MDD patients in routine mental healthcare. MethodsEcological momentary assessment (EMA) data were collected as part of the cross-European E-COMPARED trial, in which approximately half of the patients were randomly assigned to receive the blended Cognitive Behavioral Therapy (bCBT). In this study a subsample of the bCBT group was included (n = 287). As part of bCBT, patients were prompted to rate their current mood (on a 1-10 scale) using a smartphone-based EMA application. During the first week of treatment, the patients were prompted to rate their mood on three separate occasions during the day. Latent profile analyses were subsequently applied to identify distinct profiles based on average mood, mood variability, and emotional inertia across the monitoring period. ResultsOverall, four profiles were identified, which we labeled as: (1) "very negative and least variable mood" (n = 14) (2) "negative and moderate variable mood" (n = 204), (3) "positive and moderate variable mood" (n = 41), and (4) "negative and highest variable mood" (n = 28). The degree of emotional inertia was virtually identical across the profiles. ConclusionsThe real-time monitoring conducted in the present study provides some preliminary indications of different patterns of both average mood and mood variability among MDD patients in treatment in mental health settings. Such varying patterns were not found for emotional inertia.
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