1,524 research outputs found
Electric Drive Supervisor for Milling Process 4.0 Automation : A Process Analytical Approach with IIoT NIR Devices for Common Wheat
The milling industry envisions solutions to become fully compatible with the industry 4.0 technology where sensors interconnect devices, machines and processes. In this contest, the work presents an integrated solution merging a deeper understanding and control of the process due to real-time data collection by MicroNIR sensors (VIAVI, Santa Rosa, CA)\u2014directly from the manufacturing process\u2014and data analysis by Chemometrics. To the aim the sensors were positioned at wheat cleaning and at the flour blends phase and near infrared spectra (951\u20131608 nm) were collected online. Regression models were developed merging the spectra information with the results obtained by reference analyses, i.e., chemical composition and rheological properties of dough by Farinograph\uae (Brabender GmbH and Co., Duisburg, Germany), Alveograph\uae (Chopin, NG Villeneuve-la-Garenne Cedex, France) and Extensograph\uae.(Brabender GmbH and Co., Duisburg, Germany) The model performance was tested by an external dataset obtaining, for most of the parameters, RPRED higher than 0.80 and Root Mean Squares Errors in prediction lower than two-fold the value of the reference method errors. The real-time implementation resulted in optimal (100% of samples) or really good (99.9%\u201380% of samples) prediction ability. The proposed work succeeded in the implementation of a process analytical approach with Industrial Internet of Things near infrared (IIoT NIR) devices for the prediction of relevant grain and flour characteristics of common wheat at the industrial level
Proteostasis failure in neurodegenerative diseases: focus on oxidative stress
Protein homeostasis or proteostasis is an essential balance of cellular protein levels mediated through an extensive network of biochemical pathways that regulate different steps of the protein quality control, from the synthesis to the degradation. All proteins in a cell continuously turn over, contributing to development, differentiation, and aging. Due to the multiple interactions and connections of proteostasis pathways, exposure to stress conditions may cause various types of protein damage, altering cellular homeostasis and disrupting the entire network with additional cellular stress. Furthermore, protein misfolding and/or alterations during protein synthesis results in inactive or toxic proteins, which may overload the degradation mechanisms. The maintenance of a balanced proteome, preventing the formation of impaired proteins, is accomplished by two major catabolic routes: The ubiquitin proteasomal system (UPS) and the autophagy-lysosomal system. The proteostasis network is particularly important in nondividing, long-lived cells, such as neurons, as its failure is implicated with the development of neurodegenerative diseases, such as Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis. These neurological disorders share common risk factors such as aging, oxidative stress, environmental stress, and protein dysfunction, all of which alter cellular proteostasis, suggesting that general mechanisms controlling proteostasis may underlay the etiology of these diseases. In this review, we describe the major pathways of cellular proteostasis and discuss how their disruption contributes to the onset and progression of neurodegenerative diseases, focusing on the role of oxidative stress
Construction and commissioning of the tracker module for the SuperNEMO experiment
The SuperNEMO experiment will search for neutrinoless double-beta decay in the Modane Underground Laboratory. This decay mode, if observed, confirms that neutrinos are Majorana fermions. It would be a new lepton violating process, and would provide a measurement of the absolute neutrino mass. The SuperNEMO experiment is designed to reach a half-life sensitivity of 1026 years corresponding to an effective Majorana neutrino mass of 50−100 meV. The SuperNEMO demonstrator module is the first stage of the experiment, containing 7kg of 82Se, with an expected sensitivity of T½ (0ν) > 6.5×1024 y after 2.5 years. Full topological event reconstruction is achieved through the use of a wire tracker operating in Geiger mode combined with scintillator calorimeter modules. Construction of the demonstrator module is well underway. We present the design of the tracker, and the current status of the construction and commissioning efforts
Psychological Outcomes in Children and Early Adolescents With Type 1 Diabetes Following Pediatric Diabetes Summer Camp: A 3-Month Follow-Up Study
Objective: The aim of this study was to assess general psychosocial adjustment to diabetes and perceived disease management among patients with type 1 diabetes (T1D) and their parents before and after patients' participation in a diabetes summer camp. Methods: In this follow-up study, 20 children and adolescents with T1D (eight boys; mean age = 11.01 ± 0.94 years; mean diabetes duration = 3.02 ± 2.27) attending a southern Italian diabetic center, along with their parents, were assessed prior to and 3 months after the youths participated in a 1 week camp-based intervention involving didactic and interactive child-centered education and recreational activities. Patients and their parents completed measures assessing patients' quality of life and strategies employed by patients to cope with pain. Patients also completed measures evaluating their diabetes psychosocial adjustment, diabetes self-efficacy management, and illness perception; also, their parents completed measures of caregivers' perceived diabetes burden and treatment satisfaction. Youths' glycated hemoglobin (HbA1c) and standardized body mass index (z-BMI) values were also assessed. Within-subjects repeated-measures analyses of variance evaluated pre- and post-camp changes. Results: Camp attendance showed no beneficial effects on glycemic control, as indicated by HbA1c values both before (7.02%) and after (7.28%) camp being lower than 7.5%. HbA1c values were found to have increased after camp (pre-camp = 7.02%, post-camp = 7.28%; p = 0.010), but since they still fell within an acceptable range, they did not reveal clinically relevant changes in glycemic control. No substantial significant improvement in psychosocial measures was observed in children or parents (all p > 0.05). According to the parents' evaluation, social support-seeking as a patient pain-coping strategy was slightly increased (p = 0.044) after attending the camp. Conclusions: This study does not provide empirical evidence of benefits of participating in a diabetes camp for either patients or their parents. These findings suggest that healthcare providers rethink such camps as an experience for youths with T1D that actively involves parents and that includes both youth- and parent-focused psychological interventions
Body Image Problems in Individuals with Type 1 Diabetes: A Review of the Literature
Despite type 1 diabetes' (T1D) potential influence on adolescents' physical development, the occurrence of body image problems of adolescents with diabetes remains unclear. No research synthesis has yet addressed this issue. This study aims to systematically evaluate the empirical evidence concerning body image in individuals with T1D in order to provide an overview of the existing literature. Using PRISMA methodology, 51 relevant studies that fulfilled the eligibility criteria were found, the majority of them (N = 48) involving youth. The findings varied across studies: 17 studies indicated that in youth with T1D, body dissatisfaction was common and that body concerns were generally greater in youth with T1D than in controls; nine studies did not find any differences in body image problems between participants with and without T1D; three studies described higher body satisfaction in youth with diabetes than in controls; and three studies reported mixed results. Body concerns in individuals with T1D were often found to be associated with negative medical and psychological functioning. The variability and limits in assessment tools across studies, the overrepresentation of female subjects, and the fact that most research in this field is based on cross-sectional data are stressed in the interpretation of these mixed findings. Future research directions that could improve the understanding of body image concerns and clinical implications are discussed
Effects of oligomer toxicity, fibril toxicity and fibril spreading in synucleinopathies; 35244787
Protein misfolding is a general hallmark of protein deposition diseases, such as Alzheimer’s disease or Parkinson’s disease, in which different types of aggregated species (oligomers, protofibrils and fibrils) are generated by the cells. Despite widespread interest, the relationship between oligomers and fibrils in the aggregation process and spreading remains elusive. A large variety of experimental evidences supported the idea that soluble oligomeric species of different proteins might be more toxic than the larger fibrillar forms. Furthermore, the lack of correlation between the presence of the typical pathological inclusions and disease sustained this debate. However, recent data show that the ß-sheet core of the a-Synuclein (aSyn) fibrils is unable to establish persistent interactions with the lipid bilayers, but they can release oligomeric species responsible for an immediate dysfunction of the recipient neurons. Reversibly, such oligomeric species could also contribute to pathogenesis via neuron-to-neuron spreading by their direct cell-to-cell transfer or by generating new fibrils, following their neuronal uptake. In this Review, we discuss the various mechanisms of cellular dysfunction caused by aSyn, including oligomer toxicity, fibril toxicity and fibril spreading. © 2022, The Author(s)
Toward chemically resolved computer simulations of dynamics and remodeling of biological membranes
Cellular membranes are fundamental constituents of living organisms. Apart from defining the boundaries of the cells, they are involved in a wide range of biological functions, associated with both their structural and the dynamical properties. Biomembranes can undergo large-scale transformations when subject to specific environmental changes, including gel–liquid phase transitions, change of aggregation structure, formation of microtubules, or rupture into vesicles. All of these processes are dependent on a delicate interplay between intermolecular forces, molecular crowding, and entropy, and their understanding requires approaches that are able to capture and rationalize the details of all of the involved interactions. Molecular dynamics-based computational models at atom-level resolution are, in principle, the best way to perform such investigations. Unfortunately, the relevant spatial and time dimensionalities involved in membrane remodeling phenomena would require computational costs that are today unaffordable on a routinely basis. Such hurdles can be removed by coarse-graining the representations of the individual molecular components of the systems. This procedure anyway reduces the possibility of describing the chemical variations in the lipid mixtures composing biological membranes. New hybrid particle field multiscale approaches offer today a promising alternative to the more traditional particle-based simulations methods. By combining chemically distinguishable molecular representations with mesoscale-based computationally affordable potentials, they appear as one of the most promising ways to keep an accurate description of the chemical complexity of biological membranes and, at the same time, cover the required scales to describe remodeling events
Eating Problems in Youths with Type 1 Diabetes During and After Lockdown in Italy: An 8-Month Follow-Up Study
Eighty-five youths with T1D and 176 controls aged 8–19 years were asked to complete online questionnaires (ChEAT and EAT-26) measuring disordered eating behaviors (DEBs) during (baseline) and after (8-month follow-up) the lockdown. DEB symptoms in all participants (especially younger than 13 years), glycemic control, and zBMI were found unchanged from baseline to follow-up (all p >.05). After 8 months, the ChEAT/EAT-26 critical score frequency decreased significantly in controls (p =.004), as was the score for the ChEAT/EAT-26’s Oral Control subscale in both groups (T1D: p =.005; controls: p =.01). Participants with T1D, especially those older than 13 years, had higher ChEAT/EAT-26 Dieting scores (p =.037) and lower ChEAT/EAT-26 Oral Control scores (p =.046) than controls. Unchanged DEB symptoms suggest that the COVID-19 restrictions did not significantly affect participants’ eating behaviors and that a general adaptation to the challenges of lockdown and other pandemic containment measures occurred in both T1D and control participants
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