Divorce and the multidimensionality of men and women's mental health: the role of social-relational and socio-economic conditions

Research consistently reveals that the divorced generally face more mental health problems than the married. Less attention however has been paid to positive mental health indicators. Insight in these however may help policy makers and care providers to see both the broader picture and stimulate active coping. Using data from the European Social Survey (2006–2007), differences in both feelings of depression, and in feelings of self-esteem, autonomy, and competence between the married (N = 14,072) and divorced (N = 4,304) are estimated for women and men separately. Drawing on stress and coping theories, we map how specific social-relational and socio-economic conditions relate. Analyses reveal that divorce is related not only to more feelings of depression, but also to lower levels of self-esteem and competence. Difference scores in mental health based on marital status are also found to differ significantly between men and women for competence, with the difference being more pronounced in men. Additionally, social-relational and socio-economic conditions explain much of the gap in depression scores – and to a lesser extent, in self-esteem and competence scores – between the married and divorced. Finally, some interesting gender differences were found in how social-relational and socio-economic conditions relate to mental health when divorced, with women especially seeming to benefit from advantageous socio-economic conditions

Artificial intelligence in steam cracking modeling : a deep learning algorithm for detailed effluent prediction

Chemical processes can benefit tremendously from fast and accurate effluent composition prediction for plant design, control, and optimization. The Industry 4.0 revolution claims that by introducing machine learning into these fields, substantial economic and environmental gains can be achieved. The bottleneck for high-frequency optimization and process control is often the time necessary to perform the required detailed analyses of, for example, feed and product. To resolve these issues, a framework of four deep learning artificial neural networks (DL ANNs) has been developed for the largest chemicals production process-steam cracking. The proposed methodology allows both a detailed characterization of a naphtha feedstock and a detailed composition of the steam cracker effluent to be determined, based on a limited number of commercial naphtha indices and rapidly accessible process characteristics. The detailed characterization of a naphtha is predicted from three points on the boiling curve and paraffins, iso-paraffins, olefins, naphthenes, and aronatics (PIONA) characterization. If unavailable, the boiling points are also estimated. Even with estimated boiling points, the developed DL ANN outperforms several established methods such as maximization of Shannon entropy and traditional ANNs. For feedstock reconstruction, a mean absolute error (MAE) of 0.3 wt% is achieved on the test set, while the MAE of the effluent prediction is 0.1 wt%. When combining all networks-using the output of the previous as input to the next-the effluent MAE increases to 0.19 wt%. In addition to the high accuracy of the networks, a major benefit is the negligible computational cost required to obtain the predictions. On a standard Intel i7 processor, predictions are made in the order of milliseconds. Commercial software such as COILSIM1D performs slightly better in terms of accuracy, but the required central processing unit time per reaction is in the order of seconds. This tremendous speed-up and minimal accuracy loss make the presented framework highly suitable for the continuous monitoring of difficult-to-access process parameters and for the envisioned, high-frequency real-time optimization (RTO) strategy or process control. Nevertheless, the lack of a fundamental basis implies that fundamental understanding is almost completely lost, which is not always well-accepted by the engineering community. In addition, the performance of the developed networks drops significantly for naphthas that are highly dissimilar to those in the training set. (C) 2019 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company

Ptosis as a unique hallmark for autosomal recessive WNT1-associated osteogenesis imperfecta

Osteogenesis imperfecta (OI) is a heritable connective tissue disorder, mainly characterized by bone fragility and low bone mass. Defects in the type I procollagen-encoding genes account for the majority of OI, but increasingly more rare autosomal recessive (AR) forms are being identified, which are caused by defects in genes involved in collagen metabolism, bone mineralization, or osteoblast differentiation. Bi-allelic mutations in WNT1 have been associated with a rare form of AR OI, characterized by severe osteoporosis, vertebral compression, scoliosis, fractures, short stature, and variable neurological problems. Heterozygous WNT1 mutations have been linked to autosomal dominant early-onset osteoporosis. In this study, we describe the clinical and molecular findings in 10 new patients with AR WNT1-related OI. Thorough revision of the clinical symptoms of these 10 novel patients and previously published AR WNT1 OI cases highlight ptosis as a unique hallmark in the diagnosis of this OI subtype

Cystic Fibrosis and moulds: updates from the last meeting of the working group

International audienc

Helical mutations in type I collagen that affect the processing of the amino-propeptide result in an Osteogenesis Imperfecta/Ehlers-Danlos Syndrome overlap syndrome

Background: Whereas mutations affecting the helical domain of type I procollagen classically cause Osteogenesis Imperfecta (OI), helical mutations near the amino (N)-proteinase cleavage site have been suggested to result in a mixed OI/Ehlers-Danlos syndrome (EDS)-phenotype. Methods: We performed biochemical and molecular analysis of type I (pro-) collagen in a cohort of seven patients referred with a clinical diagnosis of EDS and showing only subtle signs of OI. Transmission electron microscopy of the dermis was available for one patient. Results: All of these patients harboured a COL1A1 / COL1A2 mutation residing within the most N-terminal part of the type I collagen helix. These mutations affect the rate of type I collagen N-propeptide cleavage and disturb normal collagen fibrillogenesis. Importantly, patients with this type of mutation do not show a typical OI phenotype but mainly present as EDS patients displaying severe joint hyperlaxity, soft and hyperextensible skin, abnormal wound healing, easy bruising, and sometimes signs of arterial fragility. In addition, they show subtle signs of OI including blue sclerae, relatively short stature and osteopenia or fractures. Conclusion: Recognition of this distinct phenotype is important for accurate genetic counselling, clinical management and surveillance, particularly in relation to the potential risk for vascular rupture associated with these mutations. Because these patients present clinical overlap with other EDS subtypes, biochemical collagen analysis is necessary to establish the correct diagnosis

Feeding Time and Botanical Composition of Diets Selected by Indigenous Goats on Native Pastures in Malaysia

The feeding time, grazing behaviour and botanical composition of diets selected by the indigenous Kambing Kacang on different native pastures of Selangor State, West Malaysia, were determined by direct observation during Nov - Dec 1993. Four herds were selected according to their grazing area (abandoned ricejield, roadside verges, waste ground and orchard) and monitored. Grazing animals travelled from 0.6 to 5.6 km daily. Depending on the locality of the grazing area and the forage available, time spent feeding ranged from 79.2 to 152.7 min. The herds were observed to first select the most juvenile plant parts which Provided the highest quality of diet. In terms of time spent on each species, the main species selected in descending order of importance were: Mimosa pudica, Ottochloa nodosa, Asystasia intrusa, Mikania cordata, Paspalum conjugatum, Axonopus compressus and Ischaemum timorense. The vegetation composition of the four grazing areas was assessed by means of representative plots. Vegetation covered 100% of the total sample area except on the waste ground (51 %). From records offeed selection and vegetation available, Preference indices were calculated for groups and individual plant species. Herbs appeared to be very palatable, with Mimosa pudica among legumes by far the most palatable. Judging by the feeding tirne., it would app'ear that the goats could not adequately meet their dry matter demands. Supplementation strategies based on diet selectivity and available resources may have to be developed to increase their productivity

Diagnostic conundrums in antenatal presentation of a skeletal dysplasia with description of a heterozygous C-propeptide mutation in COL1A1 associated with a severe presentation of osteogenesis imperfecta

Prompt and accurate diagnosis of skeletal dysplasias can play a crucial role in ensuring appropriate counseling and management (both antenatal and postnatal). When a skeletal dysplasia is detected during the antenatal period, especially early in the pregnancy, it can be associated with a poor prognosis. It is important to make a diagnosis in antenatal presentation of skeletal dysplasias to inform diagnosis, predict prognosis, provide accurate recurrence risks, and options for prenatal genetic testing in future pregnancies. Prenatal ultrasound scanning is a useful tool to detect several skeletal dysplasias and sonographic measurements serve as reliable indicators of lethality. The lethality depends on various factors including gestational age at which features are identified, size of the chest and progression of malformations. Although, it is important to type the skeletal presentation as accurately as possible, this is not always possible in an antenatal presentation and it is important to acknowledge this uncertainty. In the case of a live birth, it is always important to reassess the infant. Osteogenesis imperfecta (OI) is a heterogeneous group of disorders characterized by fragile bones. Here, we report an infant with severe OI born following a twin pregnancy in whom the bone disease is caused by a heterozygous pathogenic mutation, c.4160C >T, p.(Ala1387Val) located in the C-propeptide region of COL1A1. An assumption of lethality antenatally complicated his management in early life. We discuss this patient with particular emphasis on the neonatal presentation of a severe skeletal dysplasia and the lessons that may be learned in such situations. © 2016 Wiley Periodicals, Inc

Transient colonization of the airways by unusual Aspergillus species in two cystic fibrosis patients

Date du colloque&nbsp;: 06/2009</p

Recessive osteogenesis imperfecta caused by LEPRE1 mutations: clinical documentation and identification of the splice form responsible for prolyl 3-hydroxylation

Abstract: Background: Recessive forms of osteogenesis imperfecta (OI) may be caused by mutations in LEPRE1, encoding prolyl 3-hydroxylase-1 (P3H1) or in CRTAP, encoding cartilage associated protein. These proteins constitute together with cyclophilin B (CyPB) the prolyl 3-hydroxylation complex that hydroxylates the Pro986 residue in both the type I and type II collagen alpha 1-chains. Methods: We screened LEPRE1, CRTAP and PPIB (encoding CyPB) in a European/Middle Eastern cohort of 20 lethal/severe OI patients without a type I collagen mutation. Results: Four novel homozygous and compound heterozygous mutations were identified in LEPRE1 in four probands. Two probands survived the neonatal period, including one patient who is the eldest reported patient (17(7/12) years) so far with P3H1 deficiency. At birth, clinical and radiologic features were hardly distinguishable from those in patients with autosomal dominant (AD) severe/lethal OI. Follow-up data reveal that the longer lived patients develop a severe osteochondrodysplasia that overlaps with, but has some distinctive features from, AD OI. A new splice site mutation was identified in two of the four probands, affecting only one of three LEPRE1 mRNA splice forms, detected in this study. The affected splice form encodes a 736 amino acid (AA) protein with a "KDEL'' endoplasmic reticulum retention signal. While western blotting and immunocytochemical analysis of fibroblast cultures revealed absence of this P3H1 protein, mass spectrometry and SDS-urea-PAGE data showed severe reduction of alpha 1(I) Pro986 3-hydroxylation and overmodification of type I (pro) collagen chains in skin fibroblasts of the patients. Conclusion: These findings suggest that the 3-hydroxylation function of P3H1 is restricted to the 736AA splice form