193 research outputs found

    A QUALITATIVE STUDY OF THE EXPERIENCE OF SOCIAL ISOLATION AND LONELINESS AMONG OLDER PEOPLE WITH CHRONIC DISEASES IN THE COMMUNITY

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    Social isolation and loneliness are major problems for older adults. Increasing evidence suggests that perceived social isolation or loneliness is associated with severe consequences for physical and mental health of older people with Chronic Diseases. This study aimed to investigate the experience of social isolation and loneliness among older adults with Chronic Diseases. This research was a descriptive qualitative study based on semi-structured face-to-face interviews. This study purposively selected community-dwelling older people with Chronic Diseases in Zhengzhou City, Henan Province, to explore older people's experiences of social isolation and loneliness, the reasons why social isolation and loneliness occurs and the help they wish to receive. The qualitative content analysis was performed in order to summarize and extract themes from the interview texts. A total of 16 interviews were completed. Three themes were identified: 1) Inner emotions; 2)Reasons for social isolation and loneliness; 3)Desired assistance. It was found that social isolation and loneliness among older people with Chronic Diseases was not optimistic. Factors result in the social isolation and loneliness of older persons are manifold. Multidimensional intervention strategies should be adopted to alleviate the social isolation and loneliness of older people at the individual, family, community and social levels

    Artificial Neural Network Based Identification of Multi-Operating-Point Impedance Model

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    The black-box impedance model of voltage source inverters (VSIs) can be measured at their terminals without access to internal control details, which greatly facilitate the analysis of inverter-grid interactions. However, the impedance model of VSI is dependent on its operating point and can have different profiles when the operating point is changed. This letter proposes a method for identifying the impedance model of VSI under a wide range of operating points. The approach is based on the artificial neural network (ANN), where a general framework for applying the ANN to identify the VSI impedance is established. The effectiveness of the ANN-based method is validated with the analytical impedance models

    Rapid and Precise Molecular Nanofiltration Using Ultra-Thin-Film Membranes Derived from 6,6′-Dihydroxy-2,2′-biphenyldiamine

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    A key challenge in efficient molecular separation is fabricating large-scale, highly selective polymeric membranes with precise pore control at the molecular scale. Herein, a new contorted monomer 6,6′-dihydroxy-2,2′-biphenyldiamine (DHBIPDA) is introduced as a building block to generate cross-linked, ultra-thin microporous nanofilms (sub-10 nm) via interfacial polymerization, enabling rapid, and precise molecular nanofiltration. Using diacyl chloride (TPC) as the cross-linker instead of trimesoyl chloride (TMC) significantly reduces the pore sizes within the membranes and achieves a narrower pore distribution due to a semi-crystalline structure. The film structures are confirmed using comprehensive characterization techniques including wide-angle X-ray scattering (WAXS), X-ray diffraction (XRD), positron annihilation lifetime spectroscopy (PALS), CO2 adsorption analysis, and molecular-scale simulation. The DHBIPDA/TPC and DHBIPDA/TMC membranes achieve methanol permeance values of up to 16.4 and 15.1 LMH bar−1 coupled with molecular weight cutoffs (MWCOs) as low as 283 and 306 Da, respectively. The DHBIPDA/TPC membrane demonstrates both higher permeance and higher selectivity compared to its relatively disordered counterpart DHBIPDA/TMC, consistent with characterization data. The DHBIPDA-derived membrane efficiently separates dye mixtures with similar molecular weights and enables effective recycling of organometallic homogeneous catalysts, suggesting its potential for industrial applications.</p
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