Miracle-dz/UniFAR-FTUs huggingface dataset:
Consequences of perceiving organization members as a unified entity: Stronger attraction, but greater blame for member transgressions.

Are Uber drivers just a collection of independent workers, or a meaningful part of Uber's workforce? Do the owners of Holiday Inn franchises around the world seem more like a loosely knit group, or more like a cohesive whole? These questions examine perceptions of organization members' entitativity, the extent to which individuals appear to comprise a single, unified entity. We propose that the public's perception that an organization's members are highly entitative can be a double-edged sword for the organization. On the one hand, perceiving an organization's members as highly entitative makes the public more attracted to the organization because people associate entitativity with competence. On the other hand, perceiving members as highly entitative leads the public to blame the organization and its leadership for an individual member's wrongdoing because the public infers that the organization and its leadership tacitly condoned the wrongdoing. Two experiments and a field survey, plus thee supplemental studies, support these propositions. Moving beyond academic debates about whether theories should treat an organization as a unified entity, these results demonstrate the importance of understanding how much the public does perceive an organization as a unified entity. As the changing nature of work enables loosely knit collections of individuals to hold membership in the same organization, entitativity perceptions may become increasingly consequential. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
Formation of Coelenteramine from 2‐Peroxycoelenterazine in the Ca2+‐Binding Photoprotein Aequorin

Aequorin consists of apoprotein (apoAequorin) and (S)‐2‐peroxycoelenterazine (CTZ‐OOH) and is considered to be a transient‐state complex of an enzyme (apoAequorin) and a substrate (coelenterazine and molecular oxygen) in the enzymatic reaction. The degradation process of CTZ‐OOH in aequorin was characterized under various conditions of protein denaturation. By acid treatment, the major product from CTZ‐OOH was coelenteramine (CTM), but not coelenteramide (CTMD), and no significant luminescence was observed. The counterparts of CTM from CTZ‐OOH were identified as 4‐hydroxyphenylpyruvic acid (4HPPA) and 4‐hydroxyphenylacetic acid (4HPAA) by liquid chromatography/electrospray ionization–time‐of‐flight mass spectrometry (LC/ESI‐TOF‐MS). In the luminescence reaction of aequorin with Ca2+, similar amounts of 4HPPA and 4HPAA were detected, indicating that CTM is formed by two pathways from CTZ‐OOH through dioxetanone anion and not by hydrolysis from CTMD.
An artificial intelligence‐accelerated 2‐minute multi‐shot echo planar imaging protocol for comprehensive high‐quality clinical brain imaging

We introduce and validate an artificial intelligence (AI)‐accelerated multi‐shot echo‐planar imaging (msEPI)‐based method that provides T1w, T2w, T2∗ , T2‐FLAIR, and DWI images with high SNR, high tissue contrast, low specific absorption rates (SAR), and minimal distortion in 2 minutes.
Chronic respiratory disease in adult outpatients in three African countries: a cross-sectional study

BACKGROUND : The greatest burden of chronic respiratory disease is in low- and middle-income countries, with recent population-based studies reporting substantial levels of obstructive and restrictive lung function. OBJECTIVE : To characterise the common chronic respiratory diseases encountered in hospital outpatient clinics in three African countries. METHODS : This was a cross-sectional study of consecutive adult patients with chronic respiratory symptoms (>8 weeks) attending hospital outpatient departments in Ethiopia, Kenya and Sudan. Patients were assessed using a respiratory questionnaire, spirometry and chest radiography. The diagnoses of the reviewing clinicians were ascertained. RESULT: A total of 519 patients (209 Kenya, 170 Ethiopia, 140 Sudan) participated; the mean age was 45.2 years (SD 16.2); 53% were women, 83% had never smoked. Reviewing clinicians considered that 36% (95% CI 32–40) of patients had asthma, 25% (95% CI 21–29) had chronic bronchitis, 8% (95% CI 6–11) chronic obstructive pulmonary disease (COPD), 5% (95% CI 4–8) bronchiectasis and 4% (95% CI 3–6) post-TB lung disease. Spirometry consistent with COPD was present in 35% (95% CI 30–39). Restriction was evident in 38% (95% CI 33–43). There was evidence of sub-optimal diagnosis of asthma and COPD. CONCLUSION : In Ethiopia, Kenya and Sudan, asthma, COPD and chronic bronchitis account for the majority of diagnoses in non-TB patients with chronic respiratory symptoms. The suboptimal diagnosis of these conditions will require the widespread use of spirometry.
Adaptive wavelet neural network for wind speed and solar power forecasting for Italian data

Conventional energy sources are nowadays exhausting and that is the reason why renewable energy sources are so important in current situation. In addition renewables are non-pollutant and freely available in nature. Wind and solar power are the fastest growing renewable energy sources for the past few decades, especially according to the 2020 energy strategy in Europe. They are having enough scope in the power market. The main problem with these renewable energy sources is their unpredictability and, in this context, issues like power quality and power system grid stability arise. In order to limit the effects of these issues, power market needs information about power generation at least one day in advance. This problem can be addressed by proper forecasting of Renewable Energy Sources (RES). Forecasting helps to schedule power properly. Adaptive Wavelet Neural Network (AWNN), a technique already assessed in literature for wind speed forecasting, is here applied also to solar power prediction. After forecasting each individual signal, the Mean Absolute Percentage Error (MAPE) is calculated in different time horizons.
Preferential decrease in IgG 4 anti-citrullinated protein antibodies during treatment with tumour necrosis factor blocking agents in patients with rheumatoid arthritis

Citation for published version (APA): Bos, W. H. , Bartelds, G. M. , Vis, M. , van der Horst, A. R. , Wolbink, G. J., van de Stadt, R. J., . Hamann, D. (2009). Preferential decrease in IgG4 anti-citrullinated protein antibodies during treatment with tumour necrosis factor blocking agents in patients with rheumatoid arthritis. Annals of the Rheumatic Diseases, 68(4), 558-563. https://doi.org/10.1136/ard.2008. 088401
A synergy between mechanosensitive calcium- and membrane-binding mediates tension-sensing by C2-like domains

Significance A cell must be able to measure whether the lipid membranes that surround its insides are stretched. Currently, mechanosensitive ion channels are the best-studied class of membrane tension sensors, but recent work suggests that peripheral membrane enzymes that gauge nuclear confinement or swelling during cell migration or upon tissue injury constitute a second class. The mechanosensitivity of these enzymes derives from their calcium-dependent (“C2-like”) membrane-interaction domains. Although these can be found in many important signaling proteins, they have remained virtually unstudied as mechanotransducers. How membrane tension controls these domains and what features render them mechanosensitive is unclear. Here, we show that membrane tension-sensing by C2-like domains is mediated by a synergy between mechanosensitive calcium-binding and membrane insertion. When nuclear membranes are stretched, the peripheral membrane enzyme cytosolic phospholipase A2 (cPLA2) binds via its calcium-dependent C2 domain (cPLA2-C2) and initiates bioactive lipid signaling and tissue inflammation. More than 150 C2-like domains are encoded in vertebrate genomes. How many of them are mechanosensors and quantitative relationships between tension and membrane recruitment remain unexplored, leaving a knowledge gap in the mechanotransduction field. In this study, we imaged the mechanosensitive adsorption of cPLA2 and its C2 domain to nuclear membranes and artificial lipid bilayers, comparing it to related C2-like motifs. Stretch increased the Ca2+ sensitivity of all tested domains, promoting half-maximal binding of cPLA2 at cytoplasmic resting-Ca2+ concentrations. cPLA2-C2 bound up to 50 times tighter to stretched than to unstretched membranes. Our data suggest that a synergy of mechanosensitive Ca2+ interactions and deep, hydrophobic membrane insertion enables cPLA2-C2 to detect stretched membranes with antibody-like affinity, providing a quantitative basis for understanding mechanotransduction by C2-like domains.
Differentiating Between Migraine and Post-traumatic Headache Using a Machine Learning Classifier

Objective The objective was to develop classification models differentiating persistent PTH (PPTH) and migraine using clinical data and MRI-based measures of brain structure and functional connectivity. Background PTH and migraine commonly have similar phenotypes. Furthermore, migraine is a risk factor for developing PTH, sometimes making it difficult to differentiate PTH from exacerbation of migraine symptoms. Design/Methods Thirty-four individuals with migraine without history of TBI and 48 individuals with mild TBI attributed to PPTH but without history of migraine or prior frequent tension type headache were included. Subjects completed questionnaires assessing headache characteristics, mood, sensory hypersensitivities and cognitive function and underwent MRI imaging during the same day. Clinical features and structural brain measures from T1-weighted imaging, diffusion tensor imaging and functional resting-state measures were included as potential variables. A classifier using ridge logistic regression of principal components (PC) was fit. Since PCs can hinder identification of significant variables in a model, a second regression model was fit directly to the data. In the non-PC based model, input variables were selected based on lowest t-test or chi-square p-value by modality. Average accuracy was calculated using leave-one-out cross validation. The importance of variables to the classifier were examined. Results The PC-based classifier achieved an average classification accuracy of 85%. The non-PC based classifier achieved an average classification accuracy of 74.4%. Both classifiers were more accurate at classifying migraine subjects than PPTH. The PC-based model incorrectly classified 9/48 (18.8%) PPTH subjects compared to 3/34 (8.8%) migraine patients, whereas the non-PC classifier incorrectly classed 16/48 (33.3%) vs 5/34 (14.7%) of migraine subjects. Important variables in the non-PC model included static and dynamic functional connectivity values, several questions from the Beck Depression Inventory, and worsening symptoms and headaches with mental activity. Conclusions Multivariate models including clinical characteristics, functional connectivity, and brain structural data accurately classify and differentiate PPTH vs migraine.
Parathyroid hormone signaling in mature osteoblasts/osteocytes protects mice from age-related bone loss

Aging is accompanied by osteopenia, characterized by reduced bone formation and increased bone resorption. Osteocytes, the terminally differentiated osteoblasts, are regulators of bone homeostasis, and parathyroid hormone (PTH) receptor (PPR) signaling in mature osteoblasts/osteocytes is essential for PTH-driven anabolic and catabolic skeletal responses. However, the role of PPR signaling in those cells during aging has not been investigated. The aim of this study was to analyze the role of PTH signaling in mature osteoblasts/osteocytes during aging. Mice lacking PPR in osteocyte (Dmp1-PPRKO) display an age-dependent osteopenia characterized by a significant decrease in osteoblast activity and increase in osteoclast number and activity. At the molecular level, the absence of PPR signaling in mature osteoblasts/osteocytes is associated with an increase in serum sclerostin and a significant increase in osteocytes expressing 4-hydroxy-2-nonenals, a marker of oxidative stress. In Dmp1-PPRKO mice there was an age-dependent increase in p16Ink4a/Cdkn2a expression, whereas it was unchanged in controls. In vitro studies demonstrated that PTH protects osteocytes from oxidative stress-induced cell death. In summary, we reported that PPR signaling in osteocytes is important for protecting the skeleton from age-induced bone loss by restraining osteoclast’s activity and protecting osteocytes from oxidative stresses.
Drug-induced liver injury by glecaprevir/pibrentasvir treatment for chronic hepatitis C infection: a systematic review and meta-analysis

Abstract Background: Glecaprevir/pibrentasvir (G/P; 300 mg/120 mg) is a new direct-acting antiviral (DAA) that exhibits anti-hepatitis C virus (HCV) pan-genotype (GT) activity for 8, 12, or 16 weeks. However, the U.S. Food and Drug Administration have received reports that using G/P causes moderate to severe liver impairment. In some cases, isolated hyperbilirubinemia and jaundice have been reported without concomitant evidence of increased transaminase levels or other hepatic decompensation events. Objective: This study aimed to analyze the incidence of drug-induced liver injury of G/P for chronic hepatitis C virus. Materials and methods: We searched databases from the inception of each database until March 2021. Data were pooled using a random-effects model. The Cochrane Risk of Bias Tool (RoB 2.0) and the OpenMeta [Analyst] software were performed for quality assessment and quantitative studies, respectively. The primary outcome was grade 3 level of drug-induced liver injury (DILI). Results: The nine studies included in the meta-analysis involved a total of 7,650 participants, and the overall sustained virologic response rate was above 95%. The most frequent drug-related laboratory abnormalities in DILI involved total bilirubin, alanine aminotransferase, aspartate aminotransferase, and hemoglobin, but these abnormalities were minimal. The cirrhosis–without cirrhosis incidence risk ratio (IRR) was 2.724 (95% confidence interval: 1.182–6.276) in the grade 3 hyperbilirubinemia subgroup analysis. No significant differences were found within the other subgroups, in HCV GTs, and in treatment duration. Conclusions: DILI was found to occur frequently with G/P treatment. Hyperbilirubinemia occurred most frequently, especially, in patients with cirrhosis. However, G/P is still the primary therapy of choice for CKD and end-stage renal disease (ESRD) patients due to a superior safety rate.
ADVANCED ARTIFICIAL EYE IMPLEMENTATION FOR DETECTING MONOCHROME OBJECTS FOR INDUSTRIAL AUTOMATION USING ARM7 TDMI BASED LPC2148 MICROCONTROLLER

This Paper is the comprehensive review of implementation of advanced artificial eye implementation for detecting monochrome objects for industrial automation. In many situations, autonomous robots can provide effective solution to menial or dangerous tasks. In this case, it is desirable to create an autonomous robot that can identify objects from conveyor belts and relocate them if the object meet certain criteria. Obviously, when dealing with a large number of objects, this is a very menial task. A geared DC motor with 60RPM is used to control the conveyor belt. Robotic free balance wheel is used to support the conveyor belt on the other end. Here we will be using picking arm using controller motor to pick the particular object from the belt and place it according to the colour sensing. This paper uses low power supplies, one is regulated 5V modules and other one is 3.3V for LPC2148. 7805 three terminal voltage regulator is used for voltage regulation. Bridge type full wave rectifier is used to rectify the ac output of secondary of 230/12V step down transformer.
GIS-Based Model for Mapping Malaria Risk under Climate Change Case Study: Burundi

Malaria is one of the largest problems threatening global public health that is expected to increase in the future under climate change due to associated warming and wetter conditions. This will exacerbate disease burden in Burundi as one of sub-Saharan African countries, where 2 million cases of malaria were reported in 2015. This highlights the need for developing a methodology for mapping malaria risk under climate change and delineating those regions that may potentially experience malaria epidemics in the future. Malaria transmission and distribution are generally determined by a wide range of climatic, topographic and socioeconomic factors. The paper in hand is intended to map malaria risk in Burundi under climate change up to 2050. For this purpose, a GIS-based model was developed for mapping malaria as a function of various climatic and topographic determinants of malaria. The developed GIS-model was used in mapping malaria risk under current climatic conditions. Thereafter, the produced risk map was validated compared to malaria morbidity data in Burundi at health district level. Finally, the GIS-model was applied to map malaria risk in the future under RCPs 2.6 and 8.5 scenarios up to 2050. It was found that about 34.6% and 44% of Burundi land surface will be highly vulnerable to malaria risk by 2050 under RCPs 2.6 and 8.5 scenario, respectively. Also, it was noted that such highly vulnerable areas are distributed mainly in northern parts of the country. The suggested GIS-based model for mapping malaria risk under climate change can contribute largely to more informed decision-making and policy making process in terms of planning for intervention and control malaria risk. This in turn can support reducing disease burden and improving resilience to climate change.
A systems thinking approach for antimicrobial stewardship in primary care

ABSTRACT Introduction The establishment of antimicrobial stewardship (AMS) in primary care is central to substantially reduce the antimicrobial use and the associated risk of resistance. This perspective piece highlights the importance of systems thinking to set up and facilitate AMS programs in primary care. Areas covered The challenges that primary care faces to incorporate AMS programmes is multifactorial: an implementation framework, relevant resources, team composition, and system structures remain under-researched, and these issues are often overlooked and/or neglected in most parts of the world. Progress in the field remains slow in developed countries but potentially limited in low- and middle-income countries. Expert opinion The key AMS strategies to optimize antimicrobial use in primary care are increasingly known; however, health system components that impact effective implementation of AMS programs remain unclear. We highlight the importance of systems thinking to identify and understand the resource arrangements, system structures, dynamic system behaviors, and intra- and interprofessional connections to optimally design and implement AMS programs in primary care. An AMS systems thinking systemigram (i.e. a visual representation of overall architecture of a system) could be a useful tool to foster AMS implementation in primary care.
Profiles of posttraumatic stress disorder (PTSD), complex posttraumatic stress disorder (CPTSD), and subjective well-being in a sample of adult children of alcoholics.

OBJECTIVE The main aim of this study was to examine the heterogeneity of a sample of adult children of alcoholics (ACOAs) within the International Classification of Diseases (ICD)-11 posttraumatic stress disorder (PTSD) and complex PTSD (CPTSD) as well as DSM-5 PTSD diagnoses regarding the participants' subjective well-being (SWB). In addition, the construct validity of the ICD-11 CPTSD was assessed, and the ICD-11 and DSM-5 PTSD diagnoses among participants were compared. METHOD The sample consisted of 609 ACOAs. Participants filled out the PTSD Checklist for the DSM-5 (PCL-5), International Trauma Questionnaire (ITQ), Satisfaction with Life Scale (SWLS), Positive and Negative Affect Schedule (PANAS-X), and the Children of Alcoholics Screening test (CAST-6). RESULTS We observed many fewer PTSD cases when we followed the ICD-11 criteria compared to cases of PTSD diagnosed based on DSM-5 criteria among participants. In addition, latent profile analysis (LPA) did not provide evidence of the construct validity of CPTSD. Finally, we found heterogeneity of ACOAs sample in terms of PTSD/CPTSD profiles, which were differently related to their SWB. CONCLUSIONS Further research is needed to establish to what extent CPTSD and PTSD are separate and discrete disorders and why such discrepancy in PTSD level is observed when we follow either DSM-5 or ICD-11. In addition, the person-centered approach may provide more insight than variable-centered methods and thus, undermine the "uniformity myths" about ACOAs. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
Sinus floor elevation and simultaneous implant placement in fresh extraction sockets: a systematic review of clinical data

Combining different procedures to reduce the number of surgical sessions and patient discomfort in implant placement and sinus floor elevation has been recommended, and evidence supports good outcomes. The aim of this study was to review the results of clinical studies on sinus floor elevation through extraction sockets and simultaneous immediate posterior implant placement. An electronic search was carried out in PubMed, Scopus, and Web of Science to find English articles published in or before August 2020. A manual search was also performed. Titles, abstracts, and the full-text of the retrieved articles were studied. Thirteen studies met our eligibility criteria: 6 retrospective case series, 3 case reports, 2 prospective cohort case-series, 1 prospective case series, and 1 randomized controlled trial. Overall, 306 implants were placed; 2 studies reported implant survival rates of 91.7% and 98.57%. The others either did not report the survival rate or reported 100% survival. Sinus floor elevation through a fresh extraction socket and simultaneous immediate implant placement appears to be a predictable modality with a high success rate. However, proper case selection and the expertise of the clinician play fundamental roles in the success of such complex procedures.
Penumbra in acute ischemic stroke.

Acute ischemic stroke is one of the leading causes of disability and death worldwide. The brain tissue adjacent to the central necrotic core was first defined as ischemic penumbra characterized by reduced cerebral blood flow (CBF) with electrical failure but maintained ionic homeostasis and transmembrane electrical potentials. Since then, the evolving concepts of the ischemic penumbra have been proposed based on energy metabolism, CBF thresholds and protein synthesis, which provide insight for the diagnosis and treatment of acute ischemic stroke. This paper summarizes the recent advances in the understanding of ischemic penumbra, from its discovery to the diagnosis methods based on imaging techniques and biomarkers, finally some of the treatments developed. In addition, we discussed future perspectives on therapeutic targets beyond ischemic penumbra to develop a treatment for acute ischemic stroke.