bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effects of COVID‐19 lockdown on neuropsychiatric symptoms in patients with dementia or mild cognitive impairment: A systematic review and meta‐analysis
Authors: Soysal Pinar , Smith Lee , Trott Mike , Alexopoulos Panagiotis , Barbagallo Mario , Tan Semen Gokce , Koyanagi Ai , Shenkin Susan , Veronese Nicola ,   European Society of Geriatric Medicine Special Interest Group in Dementia and Systematic Reviews and Meta‐Analyses
Published: February 2022

The COVID‐19 pandemic may have a disproportionate impact on people with dementia/mild cognitive impairment (MCI) due to isolation and loss of services. The aim of this systematic review was to investigate the effects of the COVID‐19 lockdown on neuropsychiatric symptoms (NPS) in people living with dementia/MCI. Two authors searched major electronic databases from inception to June 2021 for observational studies investigating COVID‐19 and NPS in people with dementia/MCI. Summary estimates of mean differences in NPS scores pre‐ versus post‐COVID‐19 were calculated using a random‐effects model, weighting cases using inverse variance. Study quality and risk of bias were assessed by the Newcastle–Ottawa Scale. From 2730 citations, 21 studies including 7139 patients (60.0% female, mean age 75.6 ± 7.9 years, 4.0% MCI) with dementia were evaluated in the review. Five studies found no changes in NPS, but in all other studies, an increase in at least one NPS or the pre‐pandemic Neuropsychiatric Inventory (NPI) score was found. The most common aggravated NPS were depression, anxiety, agitation, irritability, and apathy during lockdown, but 66.7% of the studies had a high bias. Seven studies including 420 patients (22.1% MCI) yielded enough data to be included in the meta‐analysis. The mean follow‐up time was 5.9 ± 1.5 weeks. The pooled increase in NPI score before compared to during COVID‐19 was 3.85 (95% CI:0.43 to 7.27; P = 0.03; I2 = 82.4%). All studies had high risk of bias. These results were characterized by high heterogeneity, but there was no presence of publication bias. There is an increase in the worsening of NPS in people living with dementia/MCI during lockdown in the COVID pandemic. Future comparative studies are needed to elucidate whether a similar deterioration might occur in people without dementia/MCI.
EEGpower spectral measures of cognitive workload: A meta‐analysis
Authors: Chikhi Samy , Matton Nadine , Blanchet Sophie 
Published: February 2022

AbstractCognitive workload (CWL) is a fundamental concept in the assessment and monitoring of human performance during cognitive tasks. Numerous studies have attempted to objectively and continuously measure the CWL using neuroimaging techniques. Although the electroencephalogram (EEG) is a widely used technique, the impact of CWL on the spectral power of brain frequencies has shown inconsistent results. The present review aimed to synthesize the results of the literature and quantitatively assess which brain frequency is the most sensitive to CWL. A systematic literature search following PRISMA recommendations highlighted three main frequency bands used to measure CWL: theta (4–8 Hz), alpha (8–12 Hz), and beta (12–30 Hz). Three meta‐analyses were conducted to quantitatively examine the effect of CWL on these frequencies. A total of 45 effect sizes from 24 studies involving 723 participants were computed. CWL was associated with significant effects on theta (g= 0.68, CI [0.41, 0.95]), alpha (g= −0.25, CI [−0.45, 0.04]), and beta (g= 0.50, CI [0.21, 0.79]) power. Our results suggests that theta, especially the frontal theta, is the best index of CWL. Alpha and beta power were also significantly impacted by CWL; however, their association seemed less straightforward. These results are critically analyzed considering the literature on cerebral oscillations. We conclude by emphasizing the need to investigate the interaction between CWL and other factors that may influence spectral power (e.g., emotional load), and to combine this measure with other methods of analysis of the central and peripheral nervous system (e.g., functional connectivity, heart rate).
Late Miocene magmatic‐hydrothermal system and related Cu mineralization of the Arakawa area, Akita, Japan
Authors: Satori Shota , Watanabe Yasushi , Ogata Takeyuki , Hayasaka Yasutaka 
Published: February 2022

AbstractThe Northeast Japan arc hosts a number of hydrothermal vein‐type copper deposits associated with Neogene felsic intrusions. The Arakawa area is underlain by Cretaceous granites and Tertiary sedimentary rocks, which were intruded by the Miocene Ushizawamata dacite. Zircon grains from the dacite intrusion yield a 206Pb/238U intercept age (laser ablation inductively coupled plasma mass spectrometry) of 8.10 ± 0.30 Ma, consistent with a previously reported K‐Ar illite age (8.1 ± 0.4 Ma) of the Ushizawamata lead and zinc prospect in the Arakawa area. The dacite intrusion and the surrounding Miocene sedimentary rocks were altered by hydrothermal activity on the surface, classified into four alteration zones: (1) biotite‐chlorite, (2) illite, (3) chlorite and (4) smectite, centered on the intrusion. About 20 major vertical sub‐parallel copper‐bearing quartz veins occur in the chlorite alteration zone on the west side of the dacite. The first vein stage is composed of chalcopyrite and chamosite with a minor amount of quartz in brecciated wall rocks, and the second‐stage is characterized by the presence of hematite in addition to the first‐stage mineral assemblage. The third‐stage consists of comb‐shaped quartz veins with a minor amount of chalcopyrite, sphalerite, galena and pyrite, and the fourth‐stage of barite and apatite present in druse in the third‐stage veins. Primary fluid inclusions in quartz of the first‐ and third‐stages are all liquid‐rich and two‐phase. Homogenization temperature and salinity of first‐stage quartz are 263–277°C and 5.7–7.5 wt% NaCl equivalent (eq.); in quartz of the third‐stage, 251–270°C and 2.7–4.2 wt% in the inner zone and 207–250°C and 2.7–3.7 wt% in comb‐shaped quartz on the vein margin. The fluid inclusions in quartz phenocrysts of the Ushizawamata dacite show two distinct assemblages, halite‐bearing polyphase inclusions that coexist with vapor‐phase inclusions and/or vapor‐rich two‐phase inclusions, and liquid‐rich two‐phase inclusions. Homogenization temperature and salinity of the polyphase inclusions are higher than 401°C and 46.7 wt%, respectively, and those of the vapor‐rich two‐phase inclusions report 393–419°C and 2.6–3.7 wt% NaCl, whereas the liquid‐rich two‐phase inclusions returned 344–403°C and 8.0–9.3 wt%, respectively. These results indicate that the ore forming fluid was slightly cooler and lower in salinity than the late‐stage hydrothermal fluid in the Ushizawamata intrusion. The spatial and temporal proximity between the Ushizawamata dacite and the hydrothermal veins indicates that the dacitic magma was genetically related to the vein copper mineralization in the Arakawa area.
Prosocial behaviour between siblings exposed to intimate partner violence
Authors: Piotrowski Caroline C. , Wiebe Rachel , Cameranesi Margherita 
Published: February 2022

AbstractChildren's prosocial behaviour is a core feature of their social development as well as their resilience, but it has not yet been examined in siblings exposed to intimate partner violence (IPV). The goals of the present study were: (1) To describe prosocial behaviour between siblings exposed to IPV by exploring linkages with exposure to violence, sibling spacing, child age, and self‐esteem; (2) To investigate if prosocial behaviour varied as a function of sibling relationship quality; and (3) To assess if child adjustment problems were related to sibling prosocial behaviour. Forty‐seven families with two school‐aged siblings aged eight and eleven years on average were recruited from the community. Observations of unstructured sibling interaction were coded for prosocial behaviour as well as declined prosocial offers and requests. Children reported on their self‐esteem and on the quality of their sibling relationships. Mothers reported on internalizing and externalizing problems for each child. Results showed that prosocial behaviour was positively associated with greater sibling warmth and sibling spacing, but not related to exposure to IPV or child self‐esteem. Declined prosocial behaviours were positively associated with maternal reports of physical IPV and negatively associated with child age. Prosocial behaviour differed significantly across relationship typologies; it was more frequent in intense relationships, and when sibling spacing was larger. By examining sibling prosociality, this exploratory study shed new light on resilience in children exposed to IPV. Results were discussed within a resilience framework.
Vaccination of COVID‐19 convalescent plasma donors increases binding and neutralizing antibodies against SARS‐CoV‐2 variants
Authors: Di Germanio Clara , Simmons Graham , Thorbrogger Chloe , Martinelli Rachel , Stone Mars , Gniadek Thomas , Busch Michael P. 
Published: February 2022

AbstractBackgroundCOVID‐19 convalescent plasma (CCP) was widely used as passive immunotherapy during the first waves of SARS‐CoV‐2 infection in the US. However, based on observational studies and randomized controlled trials, the beneficial effects of CCP were limited, and its use was virtually discontinued early in 2021, in concurrence with increased vaccination rates and availability of monoclonal antibody (mAb) therapeutics. Yet, as new variants of the SARS‐CoV‐2 spread, interest in CCP derived from vaccine‐boosted CCP donors is resurging. The effect of vaccination of previously infected CCP donors on antibodies against rapidly spreading variants is still under investigation.Study design/methodsIn this study, paired‐samples from 11 CCP donors collected before and after vaccination was tested to measure binding antibody levels and neutralization activity against the ancestral Wuhan‐Hu‐1 and SARS‐CoV‐2 variants (Wuhan‐Hu‐1 with D614G, alpha, beta, gamma, delta, epsilon) on the Ortho Vitros Spike Total Ig and IgG assays, the MSD V‐PLEX SARS‐CoV‐2 arrays for IgG binding and ACE2 inhibition, and variant‐specific Spike Reporter Viral Particle Neutralization (RVPN) assays.Results/findingsBinding and neutralizing antibodies were significantly boosted by vaccination, with several logs higher neutralization for all the variants tested post‐vaccination compared to the pre‐vaccination samples, with no difference found among the individual variants.DiscussionVaccination of previously infected individuals boosts antibodies including neutralizing activity against all SARS‐CoV‐2 variants.
Successful management and recovery of a dog with immune‐mediated thrombocytopenia following vincristine overdose
Authors: Poirier Maude , Blong April E. , Walton Rebecca A. L. 
Published: February 2022

AbstractObjectiveTo describe the management and outcome of a dog following a 10‐fold dosing error of vincristine.Case SummaryA 2‐year‐old neutered female Toy Fox Terrier presenting for immune‐mediated thrombocytopenia was administered an accidental overdose of vincristine (0.2 mg/kg [2.71 mg/m2]). The dog was managed for severe gastrointestinal signs, neutropenia, and neurological consequences secondary to the overdose. Neurological signs included diffuse muscle tremors, limb hyperextension, and myalgia during the dog's hospitalization. Medical management consisted of aggressive supportive care in addition to novel strategies, including folinic acid, glutamic acid, and Tbo‐filgrastim. The dog was discharged from the hospital after 12 days of hospitalization and recovered completely within a month of the overdose with no lasting consequences.New or Unique Information ProvidedThis is the first report of the successful management of severe vincristine overdose in a dog. Therapy included the use of Tbo‐filgrastim, folinic acid, and glutamic acid along with aggressive supportive care.
Urban landscape and infection risk in free‐roaming cats
Authors: Candela Mónica G. , Fanelli Angela , Carvalho João , Serrano Emmanuel , Domenech Guillermo , Alonso Francisco , Martínez‐Carrasco Carlos 
Published: February 2022

AbstractDespite public concern on the role of free‐roaming cats as reservoirs of zoonotic agents, little is known about the influence of urban and peri‐urban landscapes on the exposure risk. We evaluated the seroprevalence of three zoonotic agents (Chlamydia felis, Coxiella burnetiiandToxoplasma gondii) in domestic cats (Felis catus). Two hundred and ninety‐one free‐roaming cats were trapped in Murcia municipality (Southeast Spain), and their sera were tested for specific antibodies againstT. gondiiusing a modified agglutination test (MAT), and forC. felis,C. burnetiiand feline immunodeficiency virus (FIV) antibodies with ELISA technique. Pathogen seroprevalence at 95% CI was calculated for each sex and age category (up to and over 12 months) and compared with a chi‐squared test. The role of human population density and urban landscape characteristics on the risk of pathogen exposure in the cat population was explored using generalized linear models. Seropositivity against a single pathogen was found in 60% of the cats, while 19% was seropositive for two or three pathogens. Seroprevalence ofC. feliswas 8% (CI95%: 5–11), 37% (CI95%: 31–42) forC. burnetiiand 42% (CI95%: 36–47) forT. gondii. In addition to these three pathogens, FIV seropositivity was low (1%, CI95%: −0.1 to 2) and adult cats were more likely to be seropositive toC. burnetiithan young individuals (OR: 2.3, CI95%: 1.2–4.2). No sex or age class differences in seroprevalence were observed for the rest of the pathogens. Seropositivity was correlated with water surface areas forC. felis,and not with crop areas.Coxiella burnetiiseropositivity was correlated with the percentage of urban areas (continuous with only buildings and discontinuous, that include buildings, parks, and pedestrian and urban green areas), human population size and peri‐urban areas with shrubs, and not correlated with other agricultural landscapes (orchards and crop areas). However, the seroprevalence ofT. gondiiwas only associated with agricultural landscapes such as orchards. The detection of hotspot areas of high pathogen exposure risk is the basis for municipal services to implement surveillance and risk factor control campaigns in specific‐risk areas, including (a) efficient health management of urban cat colonies by geographical location, population census and health status monitoring of the components of each cat colony, (b) improvement of hygiene and sanitary conditions at the feeding points of the cat colony and (c) free‐roaming cat trapping for health monitoring and, in the long term, to know the evolution of the health status of their populations.
Development and characterisation of a rat model that exhibits both metabolic dysfunction and neurodegeneration seen in type 2 diabetes
Authors: Southam Katherine , de Sousa Chantal , Daniel Abraham , Taylor Bruce V. , Foa Lisa , Premilovac Dino 
Published: February 2022

AbstractAccurate modelling type 2 diabetes and diabetic complications in rodents has proven a challenge, largely as a result of the long‐time course of disease development in humans. In the present study, we aimed to develop and comprehensively characterise a new rodent model of type 2 diabetes. To do this, we fed Sprague–Dawley rats a high fat/high sugar diet (HFD) to induce obesity and dyslipidaemia. After 3 weeks, we s.c. implanted osmotic mini pumps to enable a 14 day, slow infusion of streptozotocin (STZ; lower dose = 100 mg kg−1; higher dose = 120 mg kg−1) to dose‐dependently reduce pancreatic beta cell mass. After removing the mini pumps, we monitored animals for 4 months using a battery of tests to assess both metabolic and neurodegenerative changes across time. Our data demonstrate the combination of the HFD and lower dose STZ leads to induction of early‐stage type 2 diabetes defined by moderate hyperglycaemia, hyperinsulinaemia and impaired glucose tolerance, at the same time as the retention of an obese phenotype. By contrast, combining the HFD and higher dose STZ leads to induction of later‐stage type 2 diabetes defined by frank hyperglycaemia, hypoinsulinaemia (but not insulin depletion) and severely impaired glucose tolerance, at the same time as retaining an obese phenotype. Regardless of dose of STZ (and level of hyperglycaemia), all diabetic rats exhibited signs of peripheral neurodegeneration in the skin and muscle. Thus, this model recapitulates many of the complex metabolic disturbances seen in type 2 diabetes and provides an excellent platform for investigating the pathophysiological mechanisms that lead to diabetic complications such as peripheral neuropathy.Key points
Type 2 diabetes is a major health concern and markedly increases risk cardiovascular and neurodegenerative diseases.
Accurate modelling of type 2 diabetes is a major challenge and has impeded our ability to understand the mechanisms that contribute to complications of type 2 diabetes.
We have developed a method of inducing different stages of type 2 diabetes using a high fat/high sugar diet and 14 day infusion of streptozotocin to dose‐dependently destroy pancreatic beta cell mass.
Over 4 months, we comprehensively characterised these animals and confirmed that they develop sustained metabolic dysfunction and progressive peripheral neurodegeneration as seen in type 2 diabetes.
This new model will improve our ability to investigate the pathophysiological mechanisms that link type 2 diabetes with complications such as neurodegeneration.
Improved Particle Swarm Algorithm Using Rubik’s Cube Topology for Bilevel Building Energy Transaction
Authors: Feng Xiaochun , Chen Yang , Zhang Jian , Cho Heejin , Shi Xin 
Published: February 2022

Abstract
Following the rapid growth of distributed energy resources (e.g., renewables, battery), localized peer-to-peer energy transactions are receiving more attention for multiple benefits, such as reducing power loss and stabilizing the main power grid. To promote distributed renewables locally, the local trading price is usually set to be within the external energy purchasing and selling price range. Consequently, building prosumers are motivated to trade energy through a local transaction center. This local energy transaction is modeled in bilevel optimization game. A selfish upper level agent is assumed with the privilege to set the internal energy transaction price with an objective of maximizing its arbitrage profit. Meanwhile, the building prosumers at the lower level will response to this transaction price and make decisions on electricity transaction amount. Therefore, this non-cooperative leader-follower trading game is seeking for equilibrium solutions on the energy transaction amount and prices. In addition, a uniform local transaction price structure (purchase price equals selling price) is considered here. Aiming at reducing the computational burden from classical Karush–Kuhn–Tucker (KKT) transformation and protecting the private information of each stakeholder (e.g., building), swarm intelligence-based solution approach is employed for upper level agent to generate trading price and coordinate the transactive operations. On one hand, to decrease the chance of premature convergence in global-best topology, Rubik’s Cube topology is proposed in this study based on further improvement of a two-dimensional square lattice model (i.e., one local-best topology-Von Neumann topology). Rotating operation of the cube is introduced to dynamically changing the neighborhood and enhancing information flow at the later searching state. Several groups of experiments are designed to evaluate the performance of proposed Rubik’s Cube topology-based particle swarm algorithm. The results have validated the effectiveness of proposed topology and operators comparing with global-best version PSO and Von Neumann topology-based PSO and its scalability on larger scale applications.
Active Fluid-Film Bearing With Deep Q-Network Agent-Based Control System
Authors: Kazakov Yuri N. , Kornaev Alexey V. , Shutin Denis V. , Li Shengbo , Savin Leonid A. 
Published: February 2022

Abstract
Despite the fact that the hydrodynamic lubrication is a self-controlled process, we designed control systems based on proportional integral (PI) controller, adaptive PI controller, and Deep Q network (DQN)-agent to minimize the friction torque in a conical fluid-film bearing. The bearing construction allows the shaft axial displacement and, as the result, the regulation of the bearing average clearance due to the controlled supply pressure. The main challenge is that the friction torque minimization may lead to the loss of load-carrying capacity and the contact in the shaft-bearing tribocouple. The other challenge is that random events may have an influence on the hydrodynamic lubrication parameters, therefore, changing the load-carrying capacity and the friction torque. So, the proposed control systems were designed and tested under the conditions of limited lateral shaft displacements and the action of a random external force. The tests were performed using simulation models of a controlled rotating machine in matlab software. The rotating machine simulation model includes modules of the rigid shaft, the coupling with linear axial reaction, and the conical bearing. The bearing module is based on the numerical solution of the generalized Reynolds equation and its nonlinear approximation with fully connected neural networks. The obtained results demonstrated that the application of an adaptive PI controller or a DQN agent allows decreasing friction torque in a bearing under the conditions of a random external force. The goal of a DQN agent is self-learning in contrast to an adaptive PI controller that needs to be tuned.
Synthesis of ZnO/TiO2-Based Hydrophobic Antimicrobial Coatings for Steel and Their Roughness, Wetting, and Tribological Characterization
Authors: Hasan Md Syam , Zemajtis Filip , Nosonovsky Michael , Sobolev Konstantin 
Published: February 2022

AbstractWe synthesized novel TiO2/ZnO-phosphate (TP/ZP) and polymethyl hydrogen siloxane (PMHS)-based two-layer hydrophobic coatings with potential antimicrobial properties tuned for application on steel substrates. The mathematical method of topological data analysis was applied to surface roughness data. Wetting characterizations showed stable hydrophobic behavior of the two-layer coated samples. Through tribological characterization, we compared the friction behavior of uncoated steel samples and steel samples coated with different coating materials. The coefficient of friction of uncoated base materials (ranging from 0.221 to 0.269) and the two-layer hydrophobic coatings (ranging from 0.234 to 0.273) indicated that the coatings confer hydrophobic properties to the substrates without a notable change in the friction behavior. We observed the correlations between the wetting and friction behaviors and the average roughness of the coated samples. Analysis of the micrographs of the scratched surfaces revealed preliminary information about the durability and abrasion resistance of the coatings.