bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sensory prediction error drives subconscious motor learning outside of the laboratory
Authors: Albert Scott T. , Blaum Emily , Blustein Daniel H. 
Published: February 2023

AbstractSensorimotor adaptation is supported by at least two parallel learning systems: an intentionally controlled explicit strategy, and an involuntary implicit learning system. To investigate the error sources driving these two systems, past work focused on constrained reaches or finger movements in laboratory environments has shown subconscious learning systems to be driven in part by sensory prediction error (SPE), i.e., the mismatch between the realized and expected outcome of an action. We designed a ball rolling task to explore whether SPEs can drive implicit motor adaptation during complex whole-body movements that impart physical motion on external objects. After applying a visual shift, participants rapidly adapted their rolling angles to reduce the error between the ball and target. We removed all visual feedback and told participants to aim their throw directly toward the primary target, revealing an unintentional 5.06° implicit adjustment to reach angles that decayed over time. To determine whether this implicit adaptation was driven by SPE, we gave participants a second aiming target that would ‘solve’ the visual shift, as in Mazzoni and Krakauer (2006). Remarkably, after rapidly reducing ball rolling error to zero (due to enhancements in strategic aiming), the additional aiming target caused rolling angles to deviate beyond the primary target by 3.15°. This involuntary overcompensation, which worsened task performance, is a hallmark of SPE-driven implicit learning. These results show that SPE-driven implicit processes, previously observed within simplified finger or planar reaching movements, actively contribute to motor adaptation in more complex naturalistic skill-based tasks.New and NoteworthyImplicit and explicit learning systems have been detected using simple, constrained movements inside the laboratory. How these systems impact movements during complex whole-body, skill-based tasks has not been established. Here we demonstrate that sensory prediction errors significantly impact how a person updates their movements, replicating findings from the laboratory in an unconstrained ball-rolling task. This real-world validation is an important step towards explaining how subconscious learning helps humans execute common motor skills in dynamic environments.
Glutamatergic synaptic deficits in the prefrontal cortex of the Ts65Dn mouse model for Down syndrome
Authors: Thomazeau Aurore , Lassalle Olivier , Manzoni Olivier J. 
Published: February 2023

AbstractDown syndrome (DS), the most common form of intellectual disability, is a chromosomal disorder caused by having all or part of an extra chromosome 21, leading to intellectual disability. Contrary to the extensive research on the Ts65Dn mouse model of DS in the hippocampus, the synaptic foundation of prefrontal cortex (PFC) malfunction in individuals with DS, including working memory deficits, remains largely unclear. A previous study on mBACtgDyrk1a mice, which overexpress theDyrk1agene, showed that this overexpression negatively impacts spine density and synaptic molecular composition, causing synaptic plasticity deficits in the PFC. By comparing Ts65Dn mice, which overexpress multiple genes includingDyrk1a, and mBACtgDyrk1a mice, we aimed to better understand the role of different genes in DS. Results from electrophysiological experiments (i.e., patch-clamp and extracellular field potential recordings ex vivo) in Ts65Dn PFC male mice revealed modifications of intrinsic properties in layer V/VI pyramidal neurons and the synaptic plasticity range. Thus, long-term depression was abolished in Ts65Dn, while synaptic or pharmacological long-term potentiation were fully expressed in Ts65Dn mice. These results, illustrating the phenotypic divergence between the polygenic Ts65Dn model and the monogenic mBACtgDyrk1a model of DS, highlight the complexity of the pathophysiological mechanisms responsible for the neurocognitive symptoms of DS.
Education differentiates cognitive performance and resting state fMRI connectivity in healthy aging
Authors: Montemurro Sonia , Filippini Nicola , Ferrazzi Giulio , Mantini Dante , Arcara Giorgio , Marino Marco 
Published: February 2023

AbstractObjectivesIn healthy aging, the way people differently cope with cognitive and neural decline is influenced by the exposure to cognitively enriching life-experiences. Education is one of them, so that in general the higher the education the better the expected cognitive performance in aging. At the neural level, it is not clear yet whether education can differentiate resting state functional connectivity profiles and their cognitive underpinnings. Thus, with this study, we aimed to investigate whether the variable education allowed for a finer description of age-related differences in cognition and resting state FC.MethodsWe analyzed in 197 healthy individuals (137 young adults aged 20-35, and 60 older adults aged 55-80 from the publicly available LEMON database), a pool of cognitive and neural variables, derived from magnetic resonance imaging, in relation to education. Firstly, we assessed age-related differences, by comparing young and older adults. Then, we investigated the possible role of education in outlining such differences, by splitting the group of older adults based on their education.ResultsIn terms of cognitive performance, older adults with higher education and young adults were comparable in language and executive functions. Interestingly, they had a wider vocabulary compared to young adults and older adults with lower education. Concerning functional connectivity, the results showed significant age- and education-related differences within three networks: the Visual-Medial, the Dorsal Attentional and the Default Mode network (DMN). For the DMN, we also found a relationship with memory performance, which strengthen the evidence that this network has a specific role in linking cognitive maintenance and FC at rest in healthy aging.DiscussionOur study revealed that education contributes to differentiate cognitive and neural profiles in healthy older adults. Also, the DMN could be a key network in this context, as it may reflect some compensatory mechanisms relative to memory capacities in older adults with higher education.
The ATM-E6AP-MASTL axis mediates DNA damage checkpoint recovery
Authors: Li Yanqiu , Wang Feifei , Li Xin , Wang Ling , Yang Zheng , You Zhongsheng , Peng Aimin 
Published: February 2023

AbstractCheckpoint activation after DNA damage causes a transient cell cycle arrest by suppressing CDKs. However, it remains largely elusive how cell cycle recovery is initiated after DNA damage. In this study, we discovered the upregulated protein level of MASTL kinase hours after DNA damage. MASTL promotes cell cycle progression by preventing PP2A/B55-catalyzed dephosphorylation of CDK substrates. DNA damage-induced MASTL upregulation was caused by decreased protein degradation, and was unique among mitotic kinases. We identified E6AP as the E3 ubiquitin ligase that mediated MASTL degradation. MASTL degradation was inhibited upon DNA damage as a result of the dissociation of E6AP from MASTL. E6AP depletion reduced DNA damage signaling, and promoted cell cycle recovery from the DNA damage checkpoint, in a MASTL-dependent manner. Furthermore, we found that E6AP was phosphorylated at Ser-218 by ATM after DNA damage and that this phosphorylation was required for its dissociation from MASTL, the stabilization of MASTL, and the timely recovery of cell cycle progression. Together, our data revealed that ATM/ATR-dependent signaling, while activating the DNA damage checkpoint, also initiates cell cycle recovery from the arrest. Consequently, this results in a timer-like mechanism that ensures the transient nature of the DNA damage checkpoint.
A KASP Marker for the Potato Late Blight Resistance GeneRB/Rpi-blb1
Authors: Sorensen Peyton L. , Christensen Grace , Karki Hari S. , Endelman Jeffrey B. 
Published: February 2023

ABSTRACTThe disease late blight is a threat to potato production worldwide, making genetic resistance an important target for breeding. The resistance geneRB/Rpi-blb1is effective against most strains of the causal pathogen,Phytophthora infestans. Until now, potato breeders have utilized a Sequence Characterized Amplified Region (SCAR) marker to screen forRB. Our objective was to design and validate a Kompetitive Allele Specific PCR (KASP) marker, which has advantages for high-throughput screening. First, the accuracy of the SCAR marker was confirmed in two segregating tetraploid populations. Then, using whole genome sequencing data for twoRB-positive segregants and a diverse set of 23RB-negative varieties, a SNP in the 5’ untranslated (UTR) region was identified as unique toRB. The KASP marker based on this SNP, which had 100% accuracy in the cultivated diversity panel, was used to generate diploid breeding lines containingRB. The KASP marker is publicly available for others to utilize.
Retrieved Sequence Augmentation for Protein Representation Learning
Authors: Ma Chang , Zhao Haiteng , Zheng Lin , Xin Jiayi , Li Qintong , Wu Lijun , Deng Zhihong , Lu Yang , Liu Qi , Kong Lingpeng 
Published: February 2023

AbstractThe advancement of protein representation learning has been significantly influenced by the remarkable progress in language models. Accordingly, protein language models perform inference from individual sequences, thereby limiting their capacity to incorporate evolutionary knowledge present in sequence variations. Existing solutions, which rely on Multiple Sequence Alignments (MSA), suffer from substantial computational overhead and suboptimal generalization performance for de novo proteins. In light of these problems, we introduce a novel paradigm called Retrieved Sequence Augmentation (RSA) that enhances protein representation learning without necessitating additional alignment or preprocessing. RSA associates query protein sequences with a collection of structurally or functionally similar sequences in the database and integrates them for subsequent predictions. We demonstrate that protein language models benefit from retrieval enhancement in both structural and property prediction tasks, achieving a 5% improvement over MSA Transformer on average while being 373 times faster. Furthermore, our model exhibits superior transferability to new protein domains and outperforms MSA Transformer in de novo protein prediction. This study fills a much-encountered gap in protein prediction and brings us a step closer to demystifying the domain knowledge needed to understand protein sequences. Code is available athttps://github.com/HKUNLP/RSA.
An efficient stochastic steering strategy of magnetic particles in vascular networks
Authors: Chen Kejie , Zhou Rongxin , Dong Xiaorui 
Published: February 2023

ABSTRACTOne of the primary challenges of magnetic drug targeting is to achieve efficient and accurate delivery of drug particles to the desired sites in complex physiological conditions. Though a majority of drugs are delivered through intravenous administration, until now, the kinematics and dynamics of drug particles influenced by the magnetic field, vascular topology and blood flows are still less understood. In this work, a multi-physics dynamical model which captures transient particle motions in both artificial andin vivo-like 3D vascular networks manipulated by the time-varying magnetic field is developed. Based on the model, it is found that particles which perform a random walk with correlated speed and persistence (RWSP motion) inspired by the migratory motion of immune and metastasis cells have higher mobility and navigation ability in both 2D and 3D tree-like and web-like networks. Moreover, to steer particles to perform the efficient RWSP motion, a stochastic magnetic steering strategy which uses time-varying gradient magnetic field is proposed. Parameters of the steering strategy is optimized and the capability of controlling particles to achieve fast spreading and transport in the vascular networks is demonstrated. In addition, the influence of heterogeneous flows in the vascular networks on the particle steering efficiency is discussed. Overall, the numerical model and the magnetic steering strategy can be widely used in the drug delivery systems for precise medicine research.
The structural mechanism of MCIA complex assembly links mitochondrial redox pathways
Authors: McGregor Lindsay , Acajjaoui Samira , Desfosses Ambroise , Saïdi Melissa , Bacia-Verloop Maria , Schwarz Jennifer J. , Juyoux Pauline , von Velsen Jill , Bowler Matthew W. , McCarthy Andrew , Kandiah Eaazhisai , Leonard Gordon , Gutsche Irina , Soler-Lopez Montserrat 
Published: February 2023

ABSTRACTThe mitochondrial Complex I assembly (MCIA) complex is an essential player in the biogenesis of respiratory Complex I (CI), the multiprotein complex responsible for the initiation of oxidative phosphorylation (OXPHOS). It is not well understood how MCIA facilitates the assembly of CI. Here we report the structural basis of the complex formation between the MCIA subunits ECSIT and ACAD9. ECSIT binding induces a major conformational change in the FAD-binding loop of ACAD9, resulting in efflux of the FAD cofactor and redeployment of ACAD9 from fatty acid β-oxidation (FAO) to CI assembly. We identify an adjacent α-helix as a key structural element that specifically enables the CI assembly functionality of ACAD9, distinguishing it from its closely related VLCAD counterpart. Furthermore, we show that ECSIT is phosphorylatedin vitroandex celluloand provide evidence that phosphorylation downregulates its association with ACAD9. Interestingly, ECSIT has previously been linked to the pathogenesis of Alzheimer’s disease and here we show that ECSIT phosphorylation in neuronal cells is reduced upon exposure to amyloid-β (Aβ) oligomers.These findings shed light on the assembly of the MCIA complex and implicate ECSIT as a potential reprogrammer of bioenergetic metabolic pathways that can be altered when mitochondria are affected by Aβ toxicity, a hallmark of Alzheimer’s disease.
Practice implications of phenomenological research with substance-using parents whose children were subject to social care interventions
Authors: Goddard Kashmir , Montague Jane , Elander James 
Published: February 2023

Purpose
This study aims to reflect on ways that the experiences of vulnerable users of drug and alcohol services can inform social work practice and policy to improve treatment engagement and mitigate negative responses to interventions.

Design/methodology/approach
The research used semi-structured interviews and photovoice in an interpretative phenomenological analysis of the experiences of people in treatment for drug or alcohol problems whose child was the subject of a Child Protection or Child in Need order.

Findings
The research gave insights into participants’ experiences of loss of control, unfairness and stigma. Participants described how they felt powerless in the social services system and were afraid to be open and honest with practitioners for fear of having their children removed.

Practical implications
The research highlighted the need for more training and professional development for social work practitioners to address power imbalance issues, and the need to promote non-threatening professional practice that removes penalties for disclosure of substance use, enabling substance users who are parents to be more honest about their drug use.

Social implications
The research showed the value of phenomenological methods for investigating sensitive issues with vulnerable users of treatment services in a way that can inform policy and practice.

Originality/value
This paper explores ways that phenomenological research with vulnerable, hard-to-reach participants can produce insights about the potential benefits of social work practice that is non-threatening and encourages greater openness and honesty among substance users who are parents.
From ruins to heritage tourism sites: Exploring tourists’ perceptions, evaluations and behavioral intentions toward natural disaster sites
Authors: Wang Jinwei , He Qimin , Qian Lili , Wang Guoquan 
Published: February 2023

Purpose
This study aims to reveal the empirical linkage between tourists’ perspectives and attitudes towards disaster ruins and dark tourism by attesting influence relationships between disaster memorials perception, dark tourism evaluation, as well as heritage protection and tourism development intention.

Design/methodology/approach
Partial least squares structural equation modeling analysis was used on a sample of 413 valid visitor questionnaires collected at the 5·12 Wenchuan Earthquake Memorial Museum, Sichuan Province, China.

Findings
Disaster memorials perception positively influences positive evaluation of dark tourism, heritage protection intention and tourism development intention, while negatively influencing negative evaluation of dark tourism. Furthermore, positive evaluation of dark tourism and heritage protection intention positively affect tourism development intention. In addition, prior knowledge is a significant moderator in the research model.

Originality/value
This study applied the stimulus-organism-response framework and social exchange theory to predict tourists’ behavioral intention toward disaster memorials, providing valuable insights to dark tourism research. It illuminates tourists’ psychological and behavioral characteristics at natural disaster sites and deepens research on the human–nature relationship from the disaster perspective.
A severe case of primary erythromelalgia presenting as small fiber neuropathy with a novel SCN9A mutation
Authors: Watabe Daisuke , Tominaga Mitsutoshi , Toyama Sumika , Takamori Kenji , Nakano Hajime , Amano Hiroo 
Published: February 2023

AbstractPrimary erythromelalgia (PEM) is a rare condition characterized by severe burning pain, erythema, and increased temperature in the extremeties. Mutations in the Nav1.7 sodium channel encoded by the SCN9A are responsible for PEM. The pathophysiology of PEM is unclear, but the involvement of neurogenic and vasogenic mechanisms has been suggested. Here we report a case of severe PEM in a 9‐year‐old child with a novel SCN9A mutation and examine the distribution of nerve fibers and expression of neuropeptides in the affected skin. Gene mutation analysis revealed a novel mutation p.L951I (c.2851C>A) in the heterozygous form of the SCN9A. An immunofluorescence study showed that intraepidermal nerve fibers were decreased in the affected leg, suggesting small fiber neuropathy. There was no increase in the expression of substance P (SP) or calcitonin gene‐related peptide (CGRP) in the lesional skin tissue. These findings suggest SP and CGRP do not play a major role in the pathophysiology of primary erythromelalgia.
To care for them, we need to take care of ourselves: A qualitative study on the health of home health aides
Authors: Cho Jacklyn , Toffey Brittany , Silva Ariel F. , Shalev Ariel , Safford Monika M. , Phillips Erica , Lee Ann , Wiggins Faith , Kozlov Elissa , Tsui Emma K. , Dell Nicola , Avgar Ariel C. , Andreae Susan J. , Sterling Madeline R. 
Published: February 2023

AbstractObjectiveTo understand the perspectives of home health aides (HHAs) toward their own health and health behaviors, and how their job impacts both.Data Sources and Study SettingInterviews were conducted with 28 HHAs from 16 unique home care agencies from August 2021 to January 2022. The study was conducted in partnership with the 1199SEIU Training and Employment Fund, a labor‐management fund of the largest health care union in the US.Study DesignA qualitative study with English and Spanish‐speaking HHAs. Interviews were conducted using a semi‐structured topic guide, informed by Pender's Health Promotion Model and the National Institute for Occupational Safety and Health's Total Worker Health Model. To be eligible, HHAs had to be currently employed by a home care agency in New York, NY.Data Collection/Extraction MethodsInterviews were recorded, professionally transcribed, and analyzed thematically.Principal FindingsThe 28 HHAs had a mean age of 47.6 years (SD 11.1), 39% were non‐Hispanic Black, 43% were Hispanic, and they had a mean of 14.1 years (SD 7.8) of job experience. Five themes emerged; HHAs were: (1) Healthy enough to work, but were managing their own chronic conditions while working; (2) Motivated to be healthy, in part driven by their desire to care for others; (3) Worked closely with sick patients, which influenced their perceptions of health; (4) Experienced occupational and patient‐level barriers to practicing healthy behaviors; (5) Sought support and resources to improve their health and wellbeing.ConclusionsHHAs have numerous health challenges, many of which are influenced by their job. Culturally and occupationally tailored interventions may mitigate the barriers that HHAs experience to achieve optimal health.
Toward sustainable use of natural resources: Nexus between resource rents, affluence, energy intensity and carbon emissions in developing and transition economies
Authors: Nwani Chinazaekpere , Bekun Festus V. , Gyamfi Bright A. , Effiong Ekpeno L. , Alola Andrew A. 
Published: February 2023

AbstractSustainable use of natural resources would entail ensuring that derived economic benefits today do not undermine the welfare of generations to come. On this basis, this study examines the nexus between natural resource rents and carbon dioxide (CO2) emissions disaggregated into production and consumption‐based (i.e., trade‐adjusted) CO2 emissions for a selected panel of 45 developing and transition economies over the period 1995–2017. The empirical model also incorporates the impacts of population, affluence, and energy intensity. The results show that affluence increases production‐based CO2 emissions by 1.407%, with the EKC's predicted inverted U‐shaped curve only explaining consumption‐based CO2 emissions. Economic reliance on natural resource rents and energy intensification contribute 0.022% and 0.766%, respectively, to CO2 emissions embedded in territorial production inventories and 0.035% and 0.583%, respectively, to CO2 emissions embedded in consumption inventories. The bootstrap non‐causality test shows that historical data on each variable has significant predictive power for future CO2 emissions from both sources. The historical information about natural resource rents has significant predictive power over the future levels of affluence and energy intensity. Clearly, the results show that the environmental impact of natural resource rents is stronger when CO2 emissions are adjusted for trade and varies among the countries, with Bangladesh, Guinea, India, Malaysia, Mexico, Nigeria, Pakistan, Saudi Arabia, Vietnam, and Zimbabwe among the most affected countries. Overall, this study provides motivation for policies to keep the use of natural resources within sustainable limits.