Miracle-dz/UniFAR-FTUs huggingface dataset:
Significant challenges when introducing care robots in Swedish elder care

Abstract Introduction Care robots are machines, operating partly or completely autonomously, that are intended to assist older people and their caregivers. Care robots are seen as one part of the solution to the aging population, allowing fewer professional caregivers to provide the necessary assistance and care. Despite the potential benefits, the dissemination of care robots, and welfare technology in general, is limited in Swedish elder care. Purpose To explore the challenges of introducing welfare technology, particularly care robots, in elder care. Materials and methods Twenty-one individual interviews with key actors at the societal level, analysed by thematic analysis. Results The challenges, from the societal actors’ perspectives, were related to; the beliefs in technology, attitudes, ethics, collaboration, and the need for knowledge and skills regarding care robots (individual and group challenges). Challenges of a national character were: national governance, infrastructure, laws and regulations, economics, and procurement (systemic and societal challenges). In addition, the necessary preconditions for successful introduction were revealed as: the utility of the technology, implementation, evaluation and safety, security, and integrity (preconditional challenges). Conclusions The introduction of care robots in elder care services seems to be more challenging than that of welfare technology in general, given the context and prevailing attitudes and preconceptions about robotics. Significant challenges need to be managed, at all levels of the society, before care robots can become an integral part of daily care and assist older people and their caregivers in activities and rehabilitation. IMPLICATION FOR REHABILITATION The challenges described by the societal actors‘, are partly similar to those of the end users’, in terms of attitudes, ethics, knowledge and skills, and collaboration. This consensus should provide a solid foundation for the conceptualization and introduction of care robots in elderly care. The challenges follow the pattern of an ecosystem involving all sections of society, which are intertwined and require consideration before the expected benefits can be realised. A user-centred approach is necessary to support the design, implementation, and usefulness of care robots and their suitability for meeting the real needs of older persons and professional caregivers.
Expression patterns and functional analysis of the short neuropeptide F and NPF receptor genes in Rhopalosiphum padi

The short neuropeptide F (sNPF) and NPF receptor (NPFR) genes play important roles in many physiological processes. However, information on the survival‐related functions of sNPF and NPFR under different stress conditions is lacking in aphids. In this study, we cloned sNPF and NPFR, and investigated the expression levels of these genes in different developmental stages, wing morphs, and stress conditions of the bird cherry‐oat aphid (Rhopalosiphum padi L.), an important agricultural pest. The sNPF and NPFR transcript levels varied among developmental stages, and their expression levels in alate females were significantly higher than those in apterous females. In addition, starvation resulted in significantly increased sNPF expression, which then recovered after refeeding. Heat stress and insecticides significantly affected transcription of both genes. sNPF and NPFR knockdown in R. padi using RNA interference revealed optimal interference efficiency at 48 h post‐injection. sNPF knockdown significantly decreased adult longevity, 15‐d fecundity, and food intake. Additionally, mortality under starvation, insecticides, and heat stress conditions was significantly higher after injection with double‐stranded sNPF in R. padi. NPFR knockdown significantly affected food intake and starvation resistance in R. padi. These results strongly indicate that sNPF plays vital roles in food intake, longevity, and reproduction in R. padi, and it can significantly affect the pest's response to stress conditions.
Preprocedure Application of Machine Learning and Mechanistic Simulations Predicts Likelihood of Paroxysmal Atrial Fibrillation Recurrence Following Pulmonary Vein Isolation

Supplemental Digital Content is available in the text. Background: Pulmonary vein isolation (PVI) is an effective treatment strategy for patients with atrial fibrillation (AF), but many experience AF recurrence and require repeat ablation procedures. The goal of this study was to develop and evaluate a methodology that combines machine learning (ML) and personalized computational modeling to predict, before PVI, which patients are most likely to experience AF recurrence after PVI. Methods: This single-center retrospective proof-of-concept study included 32 patients with documented paroxysmal AF who underwent PVI and had preprocedural late gadolinium enhanced magnetic resonance imaging. For each patient, a personalized computational model of the left atrium simulated AF induction via rapid pacing. Features were derived from pre-PVI late gadolinium enhanced magnetic resonance images and from results of simulations of AF induction. The most predictive features were used as input to a quadratic discriminant analysis ML classifier, which was trained, optimized, and evaluated with 10-fold nested cross-validation to predict the probability of AF recurrence post-PVI. Results: In our cohort, the ML classifier predicted probability of AF recurrence with an average validation sensitivity and specificity of 82% and 89%, respectively, and a validation area under the curve of 0.82. Dissecting the relative contributions of simulations of AF induction and raw images to the predictive capability of the ML classifier, we found that when only features from simulations of AF induction were used to train the ML classifier, its performance remained similar (validation area under the curve, 0.81). However, when only features extracted from raw images were used for training, the validation area under the curve significantly decreased (0.47). Conclusions: ML and personalized computational modeling can be used together to accurately predict, using only pre-PVI late gadolinium enhanced magnetic resonance imaging scans as input, whether a patient is likely to experience AF recurrence following PVI, even when the patient cohort is small.
miR‐582‐5p serves as an antioncogenic biomarker in intermediate risk AML with normal cytogenetics and could inhibit proliferation and induce apoptosis of leukemia cells

Numerous studies confirmed that aberrant microRNA (miRNA) expression contributes to cancer development and progression. We carried out this study to explore the expression profile of miRNAs in intermediate risk acute myeloid leukemia (AML) and locate certain miRNAs as biomarkers. We profiled differentially expressed miRNAs by performing miRNA sequencing analysis in the patients’ samples. Bioinformatic analysis showed the most significantly expressed genes mostly involved in cellular component organization, cell differentiation, and cell development. Reverse‐transcription polymerase chain reaction validated the expression of miR‐582‐5p in different groups of AML samples. It was confirmed that miR‐582‐5p was downregulated in newly diagnosed AML and relapse/refractory AML compared with CR AML or controls. Among intermediate risk AML patients with normal cytogenetics, a lower level of miR‐582‐5p is correlated with an unfavorable outcome, and a shorter overall survival. Gain‐ and loss‐of‐function experiments revealed that miR‐582‐5p could inhibit proliferation, suppress migration, and invasion ability and induce apoptosis of leukemia cells. Furthermore, overexpression of miR‐582‐5p can increase sensitivity of cells to Ara‐C. In conclusion, miR‐582‐5p can serve as an antioncogenic biomarker in intermediate risk AML with normal cytogenetics for risk classification and outcome prediction. These results showed a novel role for miR‐582‐5p in predicting the prognosis and promoting the tumor growth of AML.
Grafting Islets to a Dissected Peritoneal Pouch to Improve Transplant Survival and Function

Supplemental Digital Content is available in the text. Background. Although the liver is the primary site for clinical islet transplantation, it poses several restrictions, especially limited tissue volume due to portal vein pressure. We evaluated the preperitoneal space as an extrahepatic islet transplant site to deliver high tissue volumes and sustain long-term graft function. Methods. A peritoneal pouch was formed by dissecting the parietal peritoneum from the transversalis fascia of mice. Syngeneic C57BL/6 donor islets were transplanted into the peritoneal pouch of diabetic mouse recipients. Blood glucose was monitored for islet function, and miR-375 was analyzed for islet damage. Islet graft morphology and vascularization were evaluated by immunohistochemistry. [18F] fluoro-d-glucose positron emission tomography/computed tomography was used to image islet grafts. Results. Transplantation of 300 syngeneic islets into the peritoneal pouch of recipients reversed hyperglycemia for >60 days. Serum miR-375 was significantly lower in the peritoneal pouch group than in the peritoneal cavity group. Peritoneal pouch islet grafts showed high neovascularization and sustained insulin and glucagon expression up to 80 days posttransplantation. A peritoneal pouch graft with high tissue volume (1000 islets) could be visualized by positron emission tomography/computed tomography imaging. Human islets transplanted into the peritoneal pouch of diabetic nude mice also reversed hyperglycemia successfully. Conclusions. Islets transplanted into a dissected peritoneal pouch show high efficiency to reverse diabetes and sustain islet graft function. The preperitoneal site has the advantages of capacity for high tissue volume, enriched revascularization and minimal inflammatory damage. It can also serve as an extrahepatic site for transplanting large volume of islets necessitated in islet autotransplantation.
Effect of short-acting exenatide administered three times daily on markers of cardiovascular disease in type 1 diabetes: A randomized double-blind placebo-controlled trial.

AIMS To investigate the effect of adding the short-acting glucagon-like peptide 1 receptor agonist (GLP-1RA) exenatide to insulin treatment on markers of cardiovascular risk in type 1 diabetes. MATERIALS AND METHODS In a randomized, double-blind, parallel-group trial, 108 individuals with type 1 diabetes aged ≥18 years on multiple daily injection therapy with a body mass index >22.0 kg/m2 and glycated haemoglobin concentration of 59 to 88 mmol/mol (7.5%-10.0%) were randomized (1:1) to preprandial subcutaneous injection of 10 μg exenatide (Byetta®) or placebo three times daily over 26 weeks as add-on treatment to existing insulin therapy. Reported markers of cardiovascular risk were secondary endpoints and were analyzed in a baseline-adjusted linear mixed model in the intention-to-treat population. The primary results of this study, the MAG1C (Meal-time Administration of exenatide for Glycaemic control in type 1 diabetes Cases) trial, were previously reported. RESULTS Exenatide changed total fat mass by -2.6 kg (95% confidence interval [CI] -3.6; -1.6; P < 0.0001) and lean body mass by -1.1 kg (95% CI -1.9; -0.4; P = 0.01) compared with placebo, as assessed by dual-energy X-ray absorptiometry. Fat mass reductions were similar for central and peripheral fat mass. Exenatide did not change levels of interleukin-2 or -6; tumour necrosis factor-α; C-reactive protein; N-terminal prohormone of brain natriuretic peptide; or 8-oxo-7,8-dihydroguanosine (RNA oxidation marker) and 8-oxo-7,8-dihydro-2'-deoxyguanosine (DNA oxidation marker). CONCLUSIONS Exenatide added to insulin therapy in type 1 diabetes for 26 weeks resulted in body weight loss primarily from fat mass reduction, but had no effect on biomarkers of cardiovascular disease risk.
Real-time assessment of learning curve for robot-assisted laparoscopic prostatectomy.

INTRODUCTION The learning curves analysed to date for robot-assisted laparoscopic prostatectomy are based on arbitrary cut-offs of the total cases. METHODS We analysed a large dataset of robot-assisted laparoscopic prostatectomies from a single centre between 2008 and 2019 for assessment of the learning curve for perioperative outcomes with respect to time and individual cases. RESULTS A total of 1,406 patients were evaluated, with mean operative time 198.08 minutes and mean console time 161.05 minutes. A plot of operative time and console time showed an initial decline followed by a near-constant phase. The inflection points were detected at 1,398 days (308th case) for operative time and 1,470 days (324th case) for console time, with a declining trend of 8.83 minutes and 7.07 minutes, respectively, per quarter-year (p<0.001). Mean estimated blood loss showed a 70.04% reduction between the start (214.76ml) and end (64.35ml) (p<0.001). The complication rate did not vary with respect to time (p=0.188) or the number of procedures (p=0.354). There was insufficient evidence to claim that the number of operations (p=0.326), D'Amico classification (p=0.114 for intermediate versus low; p=0.158 for high versus low) or time (p=0.114) was associated with the odds of positive surgical margins. CONCLUSIONS It takes about 300 cases and nearly 4 years to standardise operative and console times, with a requirement of around 80 cases per annum for a single surgical team in the initial years to optimise the outcomes of robot-assisted laparoscopic prostatectomy.
Review of rationale and progress toward targeting cyclin-dependent kinase 2 (CDK2) for male contraception†

Abstract Cyclin-dependent kinase 2 (CDK2) is a member of the larger cell cycle regulating CDK family of kinases, activated by binding partner cyclins as its name suggests. Despite its canonical role in mitosis, CDK2 knockout mice are viable but sterile, suggesting compensatory mechanisms for loss of CDK2 in mitosis but not meiosis. Here, we review the literature surrounding the role of CDK2 in meiosis, particularly a cyclin-independent role in complex with another activator, Speedy 1 (SPY1). From this evidence, we suggest that CDK2 could be a viable nonhormonal male contraceptive target. Finally, we review the literature of pertinent CDK2 inhibitors from the preclinical to clinical stages, mostly developed to treat various cancers. To date, there is no potent yet selective CDK2 inhibitor that could be repurposed as a contraceptive without appreciable off-target toxicity. To achieve selectivity for CDK2 over closely related kinases, developing compounds that bind outside the conserved adenosine triphosphate-binding site may be necessary. Summary sentence Cyclin-dependent kinase 2 (CDK2) is a validated and underexploited target for male contraception.
Adenoviruses – Infection, pathogenesis and therapy

Both well‐known and emerging viruses increasingly affect humans and cause disease, sometimes with devastating impact on society. The viruses present in the biosphere are the top predators in the life chain, virtually without enemies, except perhaps the immune system, and harsh environmental physicochemical conditions restricting their dissemination. We know a lot about viruses, but do we know enough? This series of reviews is dedicated to adenoviruses (AdVs), a family of nonenveloped DNA viruses occurring in vertebrates, including humans. AdVs have been the focus of intense research for more than 67 years. Besides causing disease, they have immensely contributed to the advance of life sciences and medicine over the past decades. Recently, AdVs have been widely used as vehicles in gene therapy and vaccination. They continue to provide fundamental insights into virus–host interactions in cells, tissues and organisms, as well as systems and metabolic networks. This special issue of FEBS Letters presents a unique collection of 23 state‐of‐the‐art review articles by leading adenovirologists. In this prelude, I present the chapters, which provide a solid basis for further exploring the rich heritage in adenovirus molecular cell biology, structural biology, genetics, immunology, gene therapy and epidemiology. I conclude with an essential discussion of six blind spots in adenovirology.
Multi-Linear Encoding and Decoding for MIMO Systems

The objective of future wireless communication systems is to provide a reliable and high quality of service. We propose multi-linear encoding and decoding strategies by exploiting Kronecker-structured constant modulus constellations for providing a low bit error ratio (BER) in multiple-inputmultiple-output (MIMO) systems. The encoding schemes are based on the one-layer Khatri-Rao, two-layer Khatri-Rao and hybrid Kronecker-Khatri-Rao encoding processes. The corresponding multi-linear decoders consist of closed-form algorithms based on rank-one approximations of matrices and/or tensors. Compared with the convolutional codes with hard and soft Viterbi decoders, the proposed multi-linear encoding and decoding strategies outperform the latter in terms of BER for the same spectral efficiency.
Auditory representation of learned sound sequences in motor regions of the macaque brain

Significance Nonhuman primates have a rich repertoire of species-specific calls, but they do not show vocal learning. The usefulness of nonhuman primate models for studies of speech and language has, therefore, been questioned. This study shows that macaques can learn to produce novel sound sequences with their hands by pressing levers on a keyboard. Using awake functional MRI, we find activation of motor cortex and putamen, when the monkeys are listening to the same sound sequences they had learned to produce. The results indicate that auditory–motor training in monkeys can lead to the coupling of auditory and motor structures of the brain. This paradigm may be able to serve as a model system for the evolution of speech in primates. Human speech production requires the ability to couple motor actions with their auditory consequences. Nonhuman primates might not have speech because they lack this ability. To address this question, we trained macaques to perform an auditory–motor task producing sound sequences via hand presses on a newly designed device (“monkey piano”). Catch trials were interspersed to ascertain the monkeys were listening to the sounds they produced. Functional MRI was then used to map brain activity while the animals listened attentively to the sound sequences they had learned to produce and to two control sequences, which were either completely unfamiliar or familiar through passive exposure only. All sounds activated auditory midbrain and cortex, but listening to the sequences that were learned by self-production additionally activated the putamen and the hand and arm regions of motor cortex. These results indicate that, in principle, monkeys are capable of forming internal models linking sound perception and production in motor regions of the brain, so this ability is not special to speech in humans. However, the coupling of sounds and actions in nonhuman primates (and the availability of an internal model supporting it) seems not to extend to the upper vocal tract, that is, the supralaryngeal articulators, which are key for the production of speech sounds in humans. The origin of speech may have required the evolution of a “command apparatus” similar to the control of the hand, which was crucial for the evolution of tool use.
A nomogram for prediction of stage III/IV gastric cancer outcome after surgery: A multicenter population‐based study

Most patients with gastric cancer (GC) are first diagnosed at stage III‐IV and surgery resection remains the primary therapeutic modality for these patients. However, clinical staging used for prediction of those patients provides limited information. We collected clinicopathological data and disease‐progression information from 508 patients with stage III‐IV GC at three Chinese hospitals and 1298 patients from the Surveillance, Epidemiology, and End Results database. Based on the stepwise multivariate regression model, we constructed a novel nomogram to predict overall survival (OS). The performance of discrimination for this model was measured using Harrell's concordance index (C‐index) and receiver‐operating characteristic curve (ROC), and was validated using calibration plots. Multivariate Cox regression analyses showed that tumor size, age at diagnosis, N stage, tumor grade, and distant metastases were outstanding independent prognostic factors of stage III‐IV GC. We developed a nomogram based on these five prognostic predictors. In the training set, the C‐index of the nomogram was 0.645 (95% CI: 0.611‐0.679), which was higher than that of the American Joint Committee on Cancer TNM system alone (sixth TNM: 0.544; seventh TNM: 0.575; eighth TNM: 0.568). Similar results were observed in validation cohort. Moreover, calibration blots demonstrated good consistency between the actual and predicted OS probabilities. According to the nomogram, GC individuals could be classified into three groups (low‐, middle‐, and high‐risk) (P < .001). Our nomogram complements the current staging system for prediction of individual prognosis with stage III‐IV GC, and may be helpful for making individualized treatment decisions.
Attitudes of Anatomy Students toward Commemorations for Body Donors: A Multicultural Perspective

Many medical schools practice commemorative ceremonies to honor body donors. Attitudes of medical education stakeholders toward these ceremonies have not yet been fully investigated. The aim of this study was to explore anatomy students' attitudes toward commemorations at a multicultural institution which has not introduced these ceremonies yet. A survey was carried out on different groups of anatomy students that were exposed and not yet exposed to human remains. The survey was used to record basic demographic data from the respondents, ask if they would support the establishment of an anatomy commemoration and in which format. A total of 756 anatomy students participated in the survey (response rate 69.8%). The majority (76.3%) were in favor of introducing a commemoration for donors. The associations of students' gender, attitude toward body donation, and level of exposure to human remains with attitudes toward commemoration for donors were identified (P < 0.05), whereas ethnicity and religion seemed to have no influence on attitudes (P > 0.05). Most students believed that anatomy staff and students should organize the commemoration. There was a preference for the commemoration to be secular with revealed identities of donors, and not recorded for social media. The support for the establishment of commemorations transcended cultural and religious differences and confirmed students' respectful attitude toward donors. Anatomy commemorations seem to have potential not only to engage students with one another, and donor families, but also to pave the way for students to become life‐long ethical and empathetic learners and practitioners.