Miracle-dz/UniFAR-FTUs huggingface dataset:
Need for split: integrative taxonomy reveals unnoticed diversity in the subaquatic species of Pseudohygrohypnum (Pylaisiaceae, Bryophyta)

We present an integrative molecular and morphological study of subaquatic representatives of the genus Pseudohygrohypnum (Pylaisiaceae, Bryophyta), supplemented by distribution modelling of the revealed phylogenetic lineages. Phylogenetic analyses of nuclear and plastid datasets combined with the assemble species by automatic partitioning (ASAP) algorithm revealed eight distinct species within the traditionally circumscribed P. eugyrium and P. subeugyrium. These species are therefore yet another example of seemingly widely distributed taxa that harbour molecularly well-differentiated lineages with narrower distribution ranges. Studied accessions that were previously assigned to P. eugyrium form three clearly allopatric lineages, associated with temperate regions of Europe, eastern North America and eastern Asia. Remarkably, accessions falling under the current morphological concept of P. subeugyrium were shown to be even more diverse, containing five phylogenetic lineages. Three of these lineages occur under harsh Asian continental climates from cool-temperate to Arctic regions, while the remaining two, referred to P. subeugyrium s.str. and P. purpurascens, have more oceanic North Atlantic and East Asian distributions. Niche identity and similarity tests suggested no similarity in the distributions of the phylogenetically related lineages but revealed the identity of two East Asian species and the similarity of two pairs of unrelated species. A morphological survey confirmed the distinctness of all eight phylogenetic lineages, requiring the description of five new species. Pseudohygrohypnum appalachianum and P. orientale are described for North American and East Asian plants of P. eugyrium s.l. , while P. sibiricum, P. subarcticum and P. neglectum are described for the three continental, predominantly Asian lineages of P. subeugyrium s.l. Our results highlight the importance of nontropical Asia as a center of bryophyte diversity. Phylogenic dating suggests that the diversification of subaquatic Pseudohygrohypnum lineages appeared in late Miocene, while mesophilous species of the genus split before Miocene cooling, in climatic conditions close to those where the ancestor of Pseudohygrohypnum appeared. We speculate that radiation of the P. subeugyrium complex in temperate Asia might have been driven by progressive cooling, aridification, and increases in seasonality, temperature and humidity gradients. Our results parallel those of several integrative taxonomic studies of North Asian mosses, which have resulted in a number of newly revealed species. These include various endemics from continental areas of Asia suggesting that the so-called Rapoport’s rule of low diversity and wide distribution range in subpolar regions might not be applicable to bryophytes. Rather, the strong climatic oscillations in these regions may have served as a driving force of speciation and niche divergence.
A double-blind, placebo-controlled, single-ascending-dose intravenous infusion study of rHIgM22 in subjects with multiple sclerosis immediately following a relapse

Background Recombinant human immunoglobulin M22 (rHIgM22) has promoted remyelination in animal models and was well tolerated in people with clinically stable multiple sclerosis. Objective Safety/tolerability of a single rHIgM22 dose was investigated following an acute relapse and to determine whether this enhanced CNS/CSF concentrations. Methods Adults (N = 27) with acute relapse were assigned to rHIgM22 (0.5 or 2.0 mg/kg) or placebo. Study included screening/steroid administration periods and 10 study visits over 6 months. rHIgM22 CSF concentrations were assessed on days 2 and 29. Pharmacokinetic and safety samples were taken for up to 60 days. Assessments included adverse events and other clinical measures. Brain magnetic resonance imaging was performed with/without gadolinium. Results rHIgM22 CSF levels were consistent with dose-dependent concentration on both days 2 and 29. Infusion was generally well tolerated during an acute relapse. Immunogenicity was mild. Most adverse events did not appear to be dose dependent, were mild/moderate, and were events often associated with multiple sclerosis. Conclusion Although limited by high variability and small sample size, the data suggest enhanced CNS uptake associated with a drop in CSF levels. This study demonstrated safety of an antibody directed to myelin and oligodendrocytes in the course of active demyelinating disease. Further research into rHIgM22 is warranted. ClinicalTrials.gov: NCT02398461 https://clinicaltrials.gov/ct2/show/NCT02398461
Study on fuzzy cognitive decision-making method for multiple UAVs cooperative search

The searching decision-making method is the key factor affecting the efficiency of cooperative search for multiple Unmanned aerial vehicles (UAVs). Traditional searching decision-making method focuses on that how to make multiple UAVs cover the whole mission area cooperatively. These searching decision-making methods are based on probabilistic searching map and receding horizon control, and its flexibility to complex searching mission is limited. In this paper, according to the cognitive decision-making mode of human performing searching behavior, a cognitive control model with three layers structure for multi-UAVs cooperative search is presented. Based on this model and the fuzzy cluster idea, mission area is carried on cognitive match, reduction and division. Then, the assignment of mission area for cooperative searching is performed for each UAV using fuzzy cluster twice. On this basis, the receding horizon control approach is applied to realize the control of UAV searching. Finally, from two aspects, namely coverage mode of mission area and target searching ability, the performance of the fuzzy cognitive decision-making method for cooperative search proposed in this paper is analyzed and verified by the simulation experiments.
Academic Staff Performance Evaluation - Variants of Models

In the paper we describe the development process of the academic staff performance evaluation model for Palacky University in Olomouc (Czech Republic). Various alternatives of the mathematical solution are discussed. All the models share the same basic idea - we evaluate the staff member's performance in the area of Pedagogical Activities and in the area of Research and Development. The input data for the models is obtained from structured forms containing information about all the activities performed by a current staff member in the respective year. We require an aggregated piece of information concerning the yearly performance of a particular staff member at a current work position (achievement of standard performance, achievement of excellence, etc.). In the first part of the paper we analyse a group of models that share the algorithm for normalized partial evaluations in both areas of interest (Pedagogical Activities, Research and Development); the partial evaluation normalization function is determined by the scores for standard and excellent performance (defined by the evaluator for different work positions and for both areas of interest separately). Models within this group differ by the aggregation operator used to calculate the overall performance evaluation - weighted arithmetic average (WA), OWA, and WOWA. The second part of the paper presents a model where partial evaluations are determined simply as multiples of standard score for the current work position and area of interest, but the aggregation of these partial evaluations is performed by a fuzzy-rule-based system. This fuzzy model is currently being implemented at Palacky University.
Ceftolozane-tazobactam in nosocomial pneumonia

Ceftolozane is a potent antimicrobial against Pseudomonas aeruginosa, including carbapenem-resistant and multidrug-resistant strains, and is also active against Enterobacteriaceae. It MIC (minimal inhibitory concentration) and MPC (mutant preventive concentration) are close together, allowing to avoid the mutant selection window specifically in the treatment of Pseudomonas aeruginosa infection. The molecule is time-dependent and stable when reconstituted at room temperature, facilitating safe and effective dosage optimization in frail and critically ill patients. It has been shown to be non-inferior to meropenem in the treatment of nosocomial infection in the ASPECT-NP study but superior in post-hoc studies in the subgroup of patients with ventilator-associated pneumonia, without the emergence of resistance during treatment. It is FDA approved at a dose of 3 g every 8 hours in the treatment of nosocomial pneumonia (HABP/VABP) in adults.
Modeling Consideration Gives Strategic Design Insight for Addressing Diesel and Brand Perception

This paper explores consumer consideration and design response in the wake of a product scandal, namely the Volkswagen "clean diesel" scandal. It offers the novel contribution of designing for consideration, rather than final choice, with a linked market consideration and engineering model. The paper demonstrates how consideration modeling can be used to identify design strategy that capture lost consideration. A simulation study investigates three response design strategies: a design refresh by competitors; repricing by VW; and a new design by VW. The model used to investigate these scenarios includes data from a nation-wide survey conducted by Autolist that collected self-reported ratings of both VW and diesel consideration before and after the scandal. It also includes an engineering model that translates engineering variables (such as engine bore) into vehicle design attributes (such as fuel economy and rollover score). The case study finds that a design refresh by a competitor or a new vehicle design by VW can capture more consideration sets than a VW repricing strategy alone, suggesting the importance of coordinating both design and economic strategies. The approach demonstrates the usefulness of design-forconsideration as a strategic before/after scenario analysis tool in the wake of an event that triggers shifts consumers' considerations.
Experiences of physiotherapists involved in front-line management of patients with COVID-19 in Nigeria: a qualitative study

Objectives Evidence-based guidelines recommend physiotherapy for respiratory treatment and physical rehabilitation of patients with COVID-19. It is unclear to what extent physiotherapy services are used in the front-line management of COVID-19 in Nigeria. This study aimed to explore the experiences of front-line physiotherapists managing patients with COVID-19 in Nigeria. Design Qualitative interview-based study. Setting ICU and hospital COVID-19 wards, COVID-isolation and treatment centres in Nigeria, between August 2020 and January 2021. Participants Eight out of 20 physiotherapists managing patients with COVID-19 in the front line were recruited using purposive and snowball sampling. Methods Qualitative in-depth semistructured telephone interviews of all consenting physiotherapists managing patients with COVID-19 in the front line in Nigeria were conducted and transcribed verbatim. Transcripts were thematically analysed. Results Eight front-line physiotherapists (three neurological physiotherapists, two orthopaedic physiotherapists, one cardiopulmonary physiotherapist, one sports physiotherapist and one rotational physiotherapist) provided consent and data for this study. Four themes and 13 subthemes were generated illustrating discriminatory experiences of front-line physiotherapists, particularly from COVID-19 team leads; lack of multidisciplinary teamwork within COVID-19 teams; wide ranging stigmatisation from extended family members, colleagues, friends and the general public; material and psychosocial personal losses; lack of system support and suboptimal utilisation of physiotherapy in the management of COVID-19 in Nigeria. Personal agency, sense of professionalism, previous experience managing highly infectious diseases and being a cardiopulmonary physiotherapist were the factors that made the front-line physiotherapists to become involved in managing patients with COVID-19. However, discriminatory experiences made some of these physiotherapists to stop being involved in the management of patients with COVID-19 in the front line. Most front-line physiotherapists were not cardiopulmonary physiotherapists which may have influenced their level of expertise, multidisciplinary involvement and patient outcomes. Conclusions There is suboptimal involvement and support for physiotherapists, particularly cardiopulmonary physiotherapists treating patients with COVID-19 in the front line in Nigeria.
Robotic low anterior resection of rectal metastasis from small bowel adenocarcinoma: A case report

A 69‐year‐old female underwent laparoscopic ileal partial resection for ileal adenocarcinoma. Pathological diagnosis was moderately differentiated tubular adenocarcinoma (UICC 8th; T4N0M0 StageIIB). The patient received adjuvant chemotherapy with modified 5‐fluorouracil/leucovorin/oxaliplatin. Fourteen months after surgery, computed tomography revealed a mass in the upper rectum. Colonoscopy detected a submucosal protruding mass and a biopsy specimen showed moderately differentiated tubular adenocarcinoma. Robotic low anterior resection was performed. The tumor was located in the upper rectum and there was no macroscopic invasion or peritoneal dissemination. Pathologically, the tumor was moderately differentiated tubular adenocarcinoma located within the rectal wall with little evidence of a carcinoma component in the mucosal lining. Immunohistochemistry showed the same pattern as the previous ileal adenocarcinoma: negativity for cytokeratin 7 and positivity for cytokeratin 20 and caudal‐type homeobox 2. In combination with the rectum showing no abnormalities in colonoscopy performed 15 mo previously, the mass was considered hematogenous metastasis from small bowel adenocarcinoma.
Hypokinetic hypertrophic cardiomyopathy: clinical phenotype, genetics, and prognosis

To describe the phenotype, genetics, and events associated with the development of hypertrophic cardiomyopathy (HCM) with reduced ventricular function (HCMr). Heart failure in HCM is usually associated with preserved ejection fraction, yet some HCM patients develop impaired systolic function that is associated with worse outcomes.
A conceptual framework for consciousness

This article argues that consciousness has a logically sound, explanatory framework, different from typical accounts that suffer from hidden mysticism. The article has three main parts. The first describes background principles concerning information processing in the brain, from which one can deduce a general, rational framework for explaining consciousness. The second part describes a specific theory that embodies those background principles, the Attention Schema Theory. In the past several years, a growing body of experimental evidence—behavioral evidence, brain imaging evidence, and computational modeling—has addressed aspects of the theory. The final part discusses the evolution of consciousness. By emphasizing the specific role of consciousness in cognition and behavior, the present approach leads to a proposed account of how consciousness may have evolved over millions of years, from fish to humans. The goal of this article is to present a comprehensive, overarching framework in which we can understand scientifically what consciousness is and what key adaptive roles it plays in brain function.
Analysis and development of blind adaptive beamforming algorithms

This dissertation presents a new framework for the development and analysis of blind adaptive algorithms. An adaptive algorithm is said to be ‘blind’ if it does not require a known training sequence. The main focus is on application of these algorithms to adaptive antenna arrays in mobile radio communications. Adaptive antenna arrays can reduce the effects of cochannel interference, multipath fading, and background noise as compared to more conventional antenna systems. For these reasons, the use of adaptive antennas in wireless communication has received a great deal of attention in the literature. There are several reasons why the study of blind adaptive algorithms is important. First, it is common practice to switch to a blind mode once the training sequence has been processed in order to track a changing environment. Furthermore, the use of a blind algorithm can completely eliminate the need for a training sequence. This is desirable since the use of a training sequence reduces the number of bits available for transmitting information. The analysis framework introduced here is shown to include the well-known Constant Modulus Algorithm (CMA) and decision directed algorithm (DDA). New results on the behavior of the CMA and DDA are presented here, including analytic results on the convergence rate. Previous results have relied on Monte Carlo simulation. This framework is also used to propose a new class of blind adaptive algorithms that offer the potential for improved convergence rate.
The Alliance for Healthier Communities as a Learning Health System for primary care: A qualitative analysis in Ontario, Canada

Abstract Rationale, Aims and Objectives A learning health system model can be used to efficiently evaluate and incorporate evidence‐based care into practice. However, there is a paucity of evidence describing key organizational attributes needed to ensure a successful learning health system within primary care. We interviewed stakeholders for a primary care learning health system in Ontario, Canada (the Alliance for Healthier Communities) to identify strengths and areas for improvement. Method We conducted a qualitative descriptive study using individual semistructured interviews with Alliance stakeholders between December 2019 and March 2020. The Alliance delivers community‐governed primary healthcare through 109 organizations including Community Health Centres (CHCs). All CHC staff within the Alliance were invited to participate. Interviews were audio‐recorded and transcribed verbatim. We performed a thematic analysis using a team approach. Results We interviewed 29 participants across six CHCs, including Executive Directors, managers, healthcare providers and data support staff. We observed three foundational elements necessary for a successful learning health system within primary care: shared organizational goals and culture, data quality and resources. Building on this foundation, people are needed to drive the learning health system, and this is conditional on their level of engagement. The main factors motivating staff member's engagement with the learning health system included their drive to help improve patient care, focusing on initiatives of personal interest and understanding the purpose of different initiatives. Areas for improvement were identified such as the ability to extract and use data to inform changes in real‐time, better engagement and protected time for providers to do improvement work, and more staff dedicated to data extraction and analysis. Conclusions We identified key components needed to establish a learning health system in primary care. Similar primary care organizations in Canada and elsewhere can use these insights to guide their development as learning health systems.
The role of body height as a co‐factor of excess weight in Switzerland

Excess weight (Body Mass Index [BMI] ≥25.0 kg/m2) is a major health issue worldwide, including in Switzerland. For high‐income countries, little attention has been paid to body height in context of excess weight. The aim of this study is to assess the importance of body height as a co‐factor for excess weight in multiple large nationwide data sets.
Brain Metabolism and Amyloid Load in Individuals With Subjective Cognitive Decline or Pre–Mild Cognitive Impairment

Background and Objective This was a multicenter study aimed at investigating the characteristics of cognitive decline, neuropsychiatric symptoms, and brain imaging in individuals with subjective cognitive decline (SCD) and subtle cognitive decline (pre–mild cognitive impairment [pre–MCI]). Methods Data were obtained from the Network-AD project (NET-2011-02346784). The included participants underwent baseline cognitive and neurobehavioral evaluation, FDG-PET, and amyloid PET. We used principal component analysis (PCA) to identify independent neuropsychological and neuropsychiatric dimensions and their association with brain metabolism. Results A total of 105 participants (SCD = 49, pre–MCI = 56) were included. FDG-PET was normal in 45% of participants and revealed brain hypometabolism in 55%, with a frontal-like pattern as the most frequent finding (28%). Neuropsychiatric symptoms emerging from the Neuropsychiatric Inventory and the Starkstein Apathy Scale were highly prevalent in the whole sample (78%). An abnormal amyloid load was detected in the 18% of the participants who underwent amyloid PET (n = 60). PCA resulted in 3 neuropsychological factors: (1) executive/visuomotor, correlating with hypometabolism in frontal and occipital cortices and basal ganglia; (2) memory, correlating with hypometabolism in temporoparietal regions; and (3) visuospatial/constructional, correlating with hypometabolism in frontoparietal cortices. Two factors emerged from the neuropsychiatric PCA: (1) affective, correlating with hypometabolism in orbitofrontal and cingulate cortex and insula; (2) hyperactive/psychotic, correlating with hypometabolism in frontal, temporal, and parietal regions. Discussion FDG-PET evidence suggests either normal brain function or different patterns of brain hypometabolism in SCD and pre–MCI. These results indicate that SCD and pre–MCI represent heterogeneous populations. Different neuropsychological and neuropsychiatric profiles emerged, which correlated with neuronal dysfunction in specific brain regions. Long-term follow-up studies are needed to assess the risk of progression to dementia in these conditions.
Genome evolution of a nonparasitic secondary heterotroph, the diatom Nitzschia putrida

Secondary loss of photosynthesis is observed across almost all plastid-bearing branches of the eukaryotic tree of life. However, genome-based insights into the transition from a phototroph into a secondary heterotroph have so far only been revealed for parasitic species. Free-living organisms can yield unique insights into the evolutionary consequence of the loss of photosynthesis, as the parasitic lifestyle requires specific adaptations to host environments. Here, we report on the diploid genome of the free-living diatom Nitzschia putrida (35 Mbp), a nonphotosynthetic osmotroph whose photosynthetic relatives contribute ca. 40% of net oceanic primary production. Comparative analyses with photosynthetic diatoms and heterotrophic algae with parasitic lifestyle revealed that a combination of gene loss, the accumulation of genes involved in organic carbon degradation, a unique secretome, and the rapid divergence of conserved gene families involved in cell wall and extracellular metabolism appear to have facilitated the lifestyle of a free-living secondary heterotroph.