Attachment--and loss.

Cause, conseguenze e strategie di mitigazione Proponiamo il primo di una serie di articoli in cui affronteremo l’attuale problema dei mutamenti climatici. Presentiamo il documento redatto, votato e pubblicato dall’Ipcc - Comitato intergovernativo sui cambiamenti climatici - che illustra la sintesi delle ricerche svolte su questo tema rilevante.

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Climate Change 2007: The Physical Science Basis.

The detection of psychiatric illness by questionnaire

Abstract A two-dimensional version of the Pennsylvania State University mesoscale model has been applied to Winter Monsoon Experiment data in order to simulate the diurnally occurring convection observed over the South China Sea. The domain includes a representation of part of Borneo as well as the sea so that the model can simulate the initiation of convection. Also included in the model are parameterizations of mesoscale ice phase and moisture processes and longwave and shortwave radiation with a diurnal cycle. This allows use of the model to test the relative importance of various heating mechanisms to the stratiform cloud deck, which typically occupies several hundred kilometers of the domain. Frank and Cohen's cumulus parameterization scheme is employed to represent vital unresolved vertical transports in the convective area. The major conclusions are: Ice phase processes are important in determining the level of maximum large-scale heating and vertical motion because there is a strong anvil componen...

Numerical study of convection observed during the Winter Monsoon Experiment using a mesoscale two-dimensional model [presentation]

Fluorescent carbon nanoparticles or carbon quantum dots (CQDs) are a new class of carbon nanomaterials that have emerged recently and have garnered much interest as potential competitors to conventional semiconductor quantum dots. In addition to their comparable optical properties, CQDs have the desired advantages of low toxicity, environmental friendliness low cost and simple synthetic routes. Moreover, surface passivation and functionalization of CQDs allow for the control of their physicochemical properties. Since their discovery, CQDs have found many applications in the fields of chemical sensing, biosensing, bioimaging, nanomedicine, photocatalysis and electrocatalysis. This article reviews the progress in the research and development of CQDs with an emphasis on their synthesis, functionalization and technical applications along with some discussion on challenges and perspectives in this exciting and promising field.

Carbon quantum dots and their applications

The invention provides a constructing method of a femur middle-lower section bone defect model. The constructing method of the bone defect model comprises the following steps: (1) taking preserved skin from posterior limb of an anesthetized animal and disinfecting the preserved skin, and making incisions on middle, lower and front outer sides of femur of the animal to expose the middle-lower section of the femur; and (2) exciding femurs differing in size from the middle-lower section of the femur to form bone defect, irrigating wounds, dressing and stitching so as to obtain the femur middle-lower section bone defect model. On a femur middle-lower section bone defect operative approach, important blood vessels and nerves are avoided, so that secondary injury and bleeding are relieved in a process of establishing the bone defect model to the greatest extent; and the model is good in unity and repeatability, and is conducive to simulating a clinical bone defect repairing effect. The invention also provides a femur middle-lower section bone defect model prepared based on the method and application of the bone defect model.

Femur middle-lower section bone defect model as well as constructing method and application thereof

Dietary studies of polyps and ephyrae are important to understand the formation and magnitude of jellyfish blooms and provide important insights into the marine food web. However, the diet of polyps and ephyrae in situ is largely unknown. Here, prey species of the polyps and ephyrae of the moon jellyfish Aurelia coerulea in situ were identified using high-throughput DNA sequencing techniques. The results show that A. coerulea polyps and ephyrae consume a variety of prey items. The polyps consume both planktonic and benthic prey, including hydromedusae, copepods, ciliates, polychaetes, stauromedusae, and phytoplankton. A. coerulea ephyrae mainly feed on copepods and hydromedusae. Gelatinous zooplankton, including Rathkea octopunctata and Sarsia tubulosa, were frequently found as part of the diet of A. coerulea polyps and ephyrae. The utilization of high-throughput sequencing technique is a useful tool for studying the diet of polyps and ephyrae in the field, complementing the traditional techniques towards a better understanding of the complex role of gelatinous animals in marine ecosystems.

Application of DNA metabarcoding to characterize the diet of the moon jellyfish Aurelia coerulea polyps and ephyrae

Direct Synthesis of Sulfinylated Benzofulvenes via BF3·Et2O-Promoted Cascade Reactions of Arylsulfinic Acids with 1,3-Enynes.

Sjogren's syndrome is a systemic autoimmune disease which is characterized by xerosis, and multiple organs can be affected, causing interstitial lung disease, renal tubular acidosis, blood system involvement, peripheral neuropathy, and liver damage, but cardiac involvement is rare. Here we report a case of Sjogren's syndrome with prominent aortic valve involvement. A 66-year-old woman was admitted for exertional dyspnea, and the ultrasonic cardiogram showed severe aortic stenosis with moderate regurgitation. Preoperative examination for valve replacement found that the patient had elevated erythrocyte sedimentation rate and positive rheumatoid factor, so she was referred to the rheumatology outpatient department for further examination and treatment. Further questions about medical history found that the patient had dry eyes and dry mouth for more than ten years, and had obvious caries. Further laboratory examination showed elevated serum immunoglobulin levels and positive anti-nuclear antibody. The findings of ophthalmologic examination and labial gland biopsy also supported the diagnosis of Sjogren's syndrome. After treatment of glucocorticoids and hydroxychloroquine for ten months, her dyspnea symptoms were obviously improved in the patient, and the rheumatoid factor had become negative while her erythrocyte sedimentation rate normal. Repeated ultrasonic cardiogram examination showed that her aortic stenosis was also improved. The patient has been followed up for four years, and her condition kept stable. Cardiac involvement in Sjogren's syndrome can affect all parts of the heart, but valve involvement is relatively rare. The specific relationship between cardiac involvement and Sjogren's syndrome and the mechanisms behind these associations both need further research.

[A Sjögren's syndrome patient with prominent aortic valve involvement: a case report].

The factors that influence consumers' house choice are debatable. Previous studies have examined the effects of demographic and socioeconomic attributes, physical and environmental features of the house, and isolated single psychological characteristics on housing behavior. However, these factors are still not sufficient to predict consumer housing behavior, particularly when they are measured separately. We construct a holistic model that integrates psychological characteristics including values, personality traits, motivation, decision-making style, and risk-seeking together with demographic and socioeconomic factors to jointly predict housing mortgage loan behavior. This study aims to use a newly developed statistical method, "machine learning," to examine the relationship between multiple psychological characteristics and consumer housing mortgage loan behavior. Data were collected through an online survey (N = 2,270). The results show that the holistic psychological model is effective for predicting consumer housing mortgage loan behavior in the life context. Moreover, by analyzing and comparing the relative impact of all predictors, we find that psychological characteristics made a more important contribution to predicting housing mortgage loan behavior than did traditional factors (demographic and socioeconomic factors). The results provide a new perspective for understanding the effects of how multiple psychological characteristics integrally predict consumers' housing mortgage loan behavior in the real estate market. Theoretical and practical implications for marketing and sales are discussed.

Lei Wang

Papers

Femur middle-lower section bone defect model as well as constructing method and application thereof

Application of DNA metabarcoding to characterize the diet of the moon jellyfish Aurelia coerulea polyps and ephyrae

Direct Synthesis of Sulfinylated Benzofulvenes via BF3·Et2O-Promoted Cascade Reactions of Arylsulfinic Acids with 1,3-Enynes.

[A Sjögren's syndrome patient with prominent aortic valve involvement: a case report].

Multiple psychological characteristics predict housing mortgage loan behavior: A holistic model based on machine learning.