110 research outputs found
Field Effect versus Driving Force: Charge Generation in Small‐Molecule Organic Solar Cells
No full textEfficient charge generation in organic semiconductors usually requires an interface with an energetic gradient between an electron donor and an electron acceptor in order to dissociate the photogenerated excitons. However, single-component organic solar cells based on chloroboron subnaphthalocyanine (SubNc) have been reported to provide considerable photocurrents despite the absence of an energy gradient at the interface with an acceptor. In this work, it is shown that this is not due to direct free carrier generation upon illumination of SubNc, but due to a field-assisted exciton dissociation mechanism specific to the device configuration. Subsequently, the implications of this effect in bilayer organic solar cells with SubNc as the donor are demonstrated, showing that the external and internal quantum efficiencies in such cells are independent of the donor-acceptor interface energetics. This previously unexplored mechanism results in efficient photocurrent generation even though the driving force is minimized and the open-circuit voltage is maximized.V.C.N. and Y.D. contributed equally to this work. The authors would like to thank Prof. Dr. Dieter Neher for providing measurement time on the electroluminescence setup of his lab at University of Potsdam. They would also like to acknowledge the Optoelectronics group in the University of Cambridge for sharing the global analysis codes. This work was supported by the German Federal Ministry of Education and Research (BMBF) through the InnoProfile project "Organische p-i-n Bauelemente2.2" (FKZ 03IPT602X). A.A.B. is a Royal Society university research fellow.
Open access funding enabled and organized by Projekt DEAL.Nikolis, VC (corresponding author), Tech Univ Dresden, Dresden Integrated Ctr Appl Phys & Photon Mat IAP, Nothnitzer Str 61, D-01187 Dresden, Germany ; Tech Univ Dresden, Inst Appl Phys, Nothnitzer Str 61, D-01187 Dresden, Germany.
Bakulin, AA (corresponding author), Imperial Coll London, Mol Sci Res Hub, London W12 0BE, England.
Vandewal, K (corresponding author), Hasselt Univ, Inst Mat Res IMO IMOMEC, Wetenschapspk 1, B-3590 Diepenbeek, Belgium.
[email protected]; [email protected]; [email protected]
The prevalence and risk factors of young male schizophrenics with non-alcoholic fatty liver disease
No full textJing Yan,1,* Chengye Hou,1,2,* Ying Liang1 1National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China; 2Liaoning Province Demobilized Soldiers Kangning Hospital, Huludao, China *These authors contributed equally to this work Objective: In this study, we compared the prevalence rate of non-alcoholic fatty liver disease (NAFLD) between young males with schizophrenia and the general young males as the control group, and we also investigated the risk factors of NAFLD in young males with schizophrenia.Materials and methods: This is a large cross-sectional study consisting of the study group and parallel control group. The study group comprises 202 cases of young males with schizophrenia recruited from Liaoning province Demobilized Soldiers Kangning Hospital, and 149 healthy young males were recruited as the control group. The clinical evaluation included Positive and Negative Syndrome Scale (PANSS), basic information, disease-related information, and physical examination information. The laboratory tests included fasting blood glucose, total cholesterol, triglyceride, alanine aminotransferase (ALT), and aspartate aminotransferase (AST). The physical examination included liver ultrasonography.Results: No statistical difference was observed between the study and control groups regarding age (30.5±3.9 vs 30.7±3.6), body mass index (BMI), blood pressure, fasting glucose level, and total cholesterol. NAFLD was observed in both the study and control groups. The prevalence of NAFLD was 49.5% (100/202) in the study group, and 20.1% (30/149) in the control group. The study group was further divided into NAFLD group and non-NAFLD group. There were significant differences in medication combination, drug dosage, negative factor score in PANSS (14.1±4.0 vs 12.7±4.5), BMI, fasting glucose level, total cholesterol, triglyceride, ALT, and AST between NAFLD group and non-NAFLD group. According to the results of the multiple-factor analysis, the onset of NAFLD among young males with schizophrenia was significantly correlated with the following factors: triglyceride, BMI, medication combination, drug dosage, and negative factor score in PANSS.Conclusion: The prevalence of NAFLD in the study group was significantly higher than that in the control group. Multivariate analysis indicated that, triglyceride, BMI, medication combination, drug dosage, and negative factor score in PANSS were significantly related to NAFLD in patients with schizophrenia. Keywords: schizophrenia, NAFLD, risk, risk factors, mal
ChemInform Abstract: An Unexpected Ruthenium Complex and Its Unique Behavior as Catalyst in Dynamic Kinetic Resolution of Secondary Alcohols.
No full text-Butylsulfinylamino)-2-oxophosphonates and Their Conversion into 5,5-Disubstituted 2-Benzylidene-3-oxopyrrolidines
No full textChemInform Abstract: A New and Convenient Asymmetric Synthesis of α‐Amino‐ and α‐Alkyl‐α‐aminophosphonic Acids Using N‐tert‐Butylsulfinyl Imines as Chiral Auxiliaries.
No full textChemInform Abstract: Synthesis of a Novel Ruthenium(II) Complex and Its Unique Behaviors in Enzymatic Dynamic Kinetic Resolution of Secondary Alcohols.
No full textChemInform Abstract: A Facile Synthesis of Chiral 4‐(tert‐Butylsulfinylamino)‐2‐oxophosphonates and Their Conversion into 5,5‐Disubstituted 2‐Benzylidene‐3‐oxopyrrolidines.
No full textWays to improve the efficiency of the company's personnel management
No full textScientific advisor: Cherniavska I., PhD in economics, associate professor, department management, business and professional communicationsThe object of the research is the process of improving the efficiency of the company's personnel management. The subject of the research is the development of the efficiency of enterprise personnel management and the incentive system for enterprise employees. The purpose of the qualifying Master's thesis is to explore how to improve. personnel efficiency of Nike, Inc. and overall operational efficiency by optimizing human resource management strategies and implementing effective management measures. This goal not only involves training and career development planning for existing employees, but also includes optimizing the recruitment process, improving the employee performance evaluation system, and innovating incentive mechanisms. Through these comprehensive measures, Nike aims to create a more efficient, flexible, and competitive human resources environment to adapt to rapidly changing markets and consumer demands, ensuring the company's leadership position in the global sports equipment industry. According to the results of the research theoretical and practical provisions were formulated, which were brought by the author to specific proposals for improving company's personnel management. The obtained results can be used as a theoretical and practical foundation for enterprises as an effective reference for improving personnel efficiency
News Text Classification Method and Simulation Based on the Hybrid Deep Learning Model
No full textThis paper uses the database as the data source, using bibliometrics and visual analysis methods, to statistically analyze the relevant documents published in the field of text classification in the past ten years, to clarify the development context and research status of the text classification field, and to predict the research in the field of text classification priorities and research frontiers. Based on the in-depth study of the background, research status, related theories, and developments of online news text classification, this article analyzes the annual publication trend, subject distribution, journal distribution, institution distribution, author distribution, highly cited literature analysis, and research hotspots. Forefront and other aspects clarify the development context and research status of the text classification field and provide a theoretical reference for the further development of the text classification field. Then, on the basis of systematic research on text classification, deep learning, and news text classification theories, a deep learning-based network news text classification model is constructed, and the function of each module is introduced in detail, which will help the future news text classification of application and improvement provide theoretical basis. On the basis of the predecessors, this article separately studied and improved the neural network model based on the convolutional neural network, cyclic neural network, and attention mechanism and merged the three models into one model, which can obtain local associated features and contextual features and highlight the role of keywords. Finally, experiments are used to verify the effectiveness of the model proposed in this paper and compared with traditional text classification to prove the superiority of the network news text classification based on deep learning proposed in this paper. This article aims to study the internal connection between news comments and the number of votes received by news comments, and through the proposed model, the number of votes for news comments can be predicted
Oil and gas reservoir exploration based on hyperspectral remote sensing and super-low-frequency electromagnetic detection
No full textThis paper proposes a method that combined hyperspectral remote sensing with super-low-frequency (SLF) electromagnetic detection to extract oil and gas reservoir characteristics from surface to underground, for the purpose of determining oil and gas exploration target regions. The study area in Xinjiang Karamay oil-gas field, China, was investigated. First, a Hyperion dataset was used to extract altered minerals (montmorillonite, chlorite, and siderite), which were comparatively verified by field survey and spectral measurement. Second, the SLF electromagnetic datasets were then acquired where the altered minerals were distributed. An inverse distance weighting method was utilized to acquire two-dimensional profiles of the electrical feature distribution of different formations on the subsurface. Finally, existing geological data, field work, and the results derived from Hyperion images and SLF electromagnetic datasets were comprehensively analyzed to confirm the oil and gas exploration target region. The results of both hyperspectral remote sensing and SLF electromagnetic detection had a good consistency with the geological materials in this study. This paper demonstrates that the combination of hyperspectral remote sensing and SLF electromagnetic detection is suitable for the early exploration of oil and gas reservoirs, which is characterized by low exploration costs, large exploration areas, and a high working efficiency. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)National Science and Technology Major Project of China [2011ZX05034]; Zhengzhou Coal and Electric Company Limited (Project: Research on Integrated Experiment and Application of New Generation of Non-contact Geological Survey Technology in Coal Mine)SCI(E)[email protected]
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