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The COVID‐19 pandemic has affected the lives of billions around the globe. Yet, our understanding of its impact on psychological distress and work productivity remains limited. Using data from two waves of the Understanding Society COVID‐19 study, a representative British survey of reactions to the COVID‐19 pandemic, comprising 5829 individuals, we find that perceived health risks related to COVID‐19 affect the productivity of working individuals negatively via increased psychological distress. Results also show that the extent of homeworking amplifies the negative relationship between psychological distress and productivity. Additionally, we find that the negative relationship between psychological distress and productivity is stronger for self‐employed individuals compared to those who are in paid employment. Psychological distress, self‐employment status and gender jointly interact in reducing productivity, such that self‐employed women experience the strongest decline in productivity. We discuss the implications of our findings in light of supporting individuals to reduce psychological distress and maintain their productivity following the COVID‐19 pandemic. [ABSTRACT FROM AUTHOR]

Objective: Rare disease Background: A mass in the parotid gland usually indicates parotid gland neoplasia. Warthin tumors or pleomorphic adenomas are common differential diagnoses. Less frequently, other differential diagnoses and sites of origin are considered. Schwannomas are rare, benign tumors in the head and neck region. Even more rarely, these tumors occur in the intraparotid course of the facial nerve. In the following, we report about 2 patients in whom a mass in the right parotid gland was found incidentally during magnetic resonance imaging (MRI). Case Reports: We reviewed data from the literature on intraparotid facial nerve schwannomas (IPFNS) and compared them with those from our cases. The focus was on data such as clinical history, clinical symptoms, electroneurography, and various imaging modalities, such as ultrasonography and MRI combined with diffusion-weighted imaging. Conclusions: It is challenging to distinguish facial nerve schwannomas from other neoplasms. Patient's history, clinical symptoms, MRI examination with diffusion-weighted imaging, and high-resolution ultrasound imaging are decisive factors for diagnosis and should be performed when IPFNS is suspected. Diagnosis and therapy for IPFNS remain challenging. A wait-and-scan approach could be an option for patients with small tumors and good facial nerve function. On the other hand, patients with advanced tumors associated with limited facial nerve function can benefit from surgical approaches or stereotactic radiosurgery. [ABSTRACT FROM AUTHOR]

The paper presents a novel offline programming (OLP) method based on programming by demonstration (PbD), which has been validated through user study. PbD is a programming method that involves physical interaction with robots, and kinesthetic teaching (KT) is a commonly used online programming method in industry. However, online programming methods consume significant robot resources, limiting the speed advantages of PbD and emphasizing the need for an offline approach. The method presented here, based on KT, uses a virtual representation instead of a physical robot, allowing independent programming regardless of the working environment. It employs haptic input devices to teach a simulated robot in augmented reality and uses automatic path planning. A benchmarking test was conducted to standardize equipment, procedures, and evaluation techniques to compare different PbD approaches. The results indicate a 47 % decrease in programming time when compared to traditional KT methods in established industrial systems. Although the accuracy is not yet at the level of industrial systems, users have shown rapid improvement, confirming the learnability of the system. User feedback on the perceived workload and the ease of use was positive. In conclusion, this method has potential for industrial use due to its learnability, reduction in robot downtime, and applicability across different robot sizes and types. [ABSTRACT FROM AUTHOR]

Background: Primary immune thrombocytopenia (pITP) in dogs presents a diagnostic challenge, and clinical markers of severity are lacking. Objectives: Identify clinicopathologic features that differentiate pITP from secondary ITP (sITP) and markers related to bleeding severity, transfusion, and survival of dogs with pITP. Animals: Ninety‐eight thrombocytopenic dogs (58 pITP and 40 sITP). Methods: Client‐owned dogs with platelet counts <50 000/μL were enrolled in a prospective, multi‐institution cohort study. History and treatment information, through a maximum of 7 days, was recorded on standard data forms. Bleeding severity was scored daily using a bleeding assessment tool (DOGiBAT). At‐admission blood samples were collected for CBC, biochemistry, C‐reactive protein concentration, and coagulation panels, and to measure platelet surface‐associated immunoglobulin G (PSAIg) and expression of platelet membrane proteins and phospholipids. Dogs with evidence of coincident disease were classified as sITP. Results: No definitive pITP diagnostic test was found. However, pITP cases were characterized by lower platelet counts, D dimer concentrations, and platelet membrane protein expression than sITP cases. Differentiation between pITP and sITP was further enhanced using logistic regression modeling combining patient sex, coagulation profile, platelet count, D dimer, and PSAIg. A second model of pITP severity indicated that low hematocrit and high BUN concentration were associated with non‐survival. Low hematocrit at admission, but not platelet count or DOGiBAT score, was associated with transfusion. Conclusions and Clinical Importance: Pending validation studies, models constructed from at‐admission clinicopathologic findings may improve differentiation of pITP from sITP and identify the most severe pITP cases at the time of presentation. [ABSTRACT FROM AUTHOR]