bluuebunny/crossref_metadata_2025_split huggingface dataset:
Person-centered care approach to prevention and management of falls among adults and aged in a Brazilian hospital: a best practice implementation project
Authors: Albertini Anna Carolina da Silva , Fernandes Renato Pinheiro , Püschel Vilanice Alves de Araújo , Maia Flavia de Oliveira Motta 
Published: November 2022

ABSTRACT

Objectives:
The objective is to assess compliance with evidence-based criteria regarding a person-centered care approach to the prevention and management of falls among adults and the elderly in a Brazilian private hospital.

Methods:
This project used the JBI audit and feedback method to implement evidence into practice. The JBI Practical Application of Clinical Evidence System and Getting Research into Practice audit tools have been used to promote changes in oncology and medical–surgical wards. The implementation protocol was designed based on the primary barriers and facilitators identified in the baseline audit, along with a training program and changes in the electronic medical records. Nursing documentation available in medical records, interviews with nurses who worked in oncology and medical–surgical wards, and interviews with patients admitted in oncology and medical–surgical wards were used to assess the baseline and follow-up audit compliance rates.

Results:
The baseline and follow-up audits showed improvement for criteria 3 and 9 (100%) and criteria 6 and 7 (97%), respectively. The compliance for criteria 4 (97.6%), 5 (76.7%), and 8 (18%) showed slight variations from baseline and follow-up audits. Compliance for criteria 1 (76.9%) and 2 (63.3%) decreased in the follow-up audit.

Conclusion:
These findings support that baseline, and follow-up audits allied to a fall training program and changes in the electronic nursing records increase the compliance rates related to evidence-based practice regarding a person-centered care approach to preventing and managing falls. We will implement new strategies according to the best practices to achieve better outcomes.
tFold-Ab: Fast and Accurate Antibody Structure Prediction without Sequence Homologs
Authors: Wu Jiaxiang , Wu Fandi , Jiang Biaobin , Liu Wei , Zhao Peilin 
Published: November 2022

AbstractAccurate prediction of antibody structures is critical in analyzing the function of antibodies, thus enabling the rational design of antibodies. However, existing antibody structure prediction methods often only formulate backbone atoms and rely on additional tools for side-chain conformation prediction. In this work, we propose a fully end-to-end architecture for simultaneous prediction of backbone and side-chain conformations, namely tFold-Ab. Pre-trained language models are adopted for fast structure prediction by avoiding the time-consuming search for sequence homologs. The model firstly predicts monomer structures of each chain, and then refines them into heavy-light chain complex structure prediction, which enables multi-level supervision for model training. Evaluation results verify the effectiveness of tFold-Ab for both antibody and nanobody structure prediction. In addition, we provide a public web service for antibody structure prediction athttps://drug.ai.tencent.com/en.
A Modular, Adaptive, Deep-Learning-Based Brain-VR Interface
Authors: Kapitonova Maryna , Häringer Zacharias , Bongk Eric , Ball Tonio 
Published: November 2022

AbstractBrain-Computer Interfaces (BCIs) may open up new possibilities for Virtual Reality (VR) applications: BCIs may be used for active brain control of VR avatars, or to make VR content passively-adaptive based on information decoded from ongoing brain activity. Application domains for such Brain-VR Interfaces (BVRI) include medical and healthcare, entertainment, and education. Conversely, VR technology also opens up new possibilities for BCI research and development: E.g., gamified immersive BCI paradigms may improve subject engagement and long-term motivation, helping to study learning and adaptivity in the BCI-control context. Previously, we have demonstrated a first adaptive, deep-learning-based online BCI for the control of robotic assistants. Here, we describe the extension of this setup to a modular, extensible, VR-compatible online BCI setup. We describe how we integrated a classical active BCI control paradigm using motor imagery into a gamified interactive VR scenario, designed to enhance the long-term motivation of subjects. We also present an initial quality assessment of electroencephalographic (EEG) signals acquired with a dry-electrode system. We anticipate that the presented modular adaptive Brain-VR Interface will help to understand and facilitate (co-)adaptivity during long-term BCI usage.
A targeted, low-throughput compound screen in aDrosophilamodel of neurofibromatosis type 1 identifies simvastatin and BMS-204352 as potential therapies for autism spectrum disorder (ASD)
Authors: Dyson Alex , Ryan Megan , Garg Shruti , Evans D. Gareth , Baines Richard A. 
Published: November 2022

AbstractAutism spectrum disorder (ASD) is a common neurodevelopmental condition for which there are no pharmacological therapies that effectively target its core symptomatology. Animal models of syndromic forms of ASD, such as neurofibromatosis type 1, may be of use in screening for such treatments.Drosophilalarvae lackingNf1expression exhibit tactile hypersensitivity following mechanical stimulation, proposed to mirror the sensory sensitivity issues comprising part of the ASD diagnostic criteria. Such behaviour is associated with synaptic dysfunction at the neuromuscular junction (NMJ). Both phenotypes may thus provide tractable outputs with which to screen for potential ASD therapies. In this study, we demonstrate that, while loss ofNf1expression within the embryo is sufficient to impair NMJ synaptic transmission in the larva, constitutiveNf1knockdown is required to induce tactile hypersensitivity, suggesting that a compound must be administered throughout development to rescue this behaviour. With such a feeding regime, we identify two compounds from a targeted, low-throughput screen that significantly and consistently reduce, but do not fully rescue, tactile hypersensitivity inNf1P1larvae. These are the HMG-CoA reductase inhibitor simvastatin, and the BKCachannel activator BMS-204352. At the NMJ, both compounds induce a significant reduction in the enhanced spontaneous transmission frequency ofNf1P1larvae, though again not to the level of vehicle-treated controls. However, both compounds fully rescue the increased quantal size ofNf1P1mutants, with simvastatin also fully rescuing their reduced quantal content. Thus, the further study of both compounds as potential ASD interventions is warranted.Significance StatementNo therapies currently exist that consistently and effectively target the core symptoms of autism spectrum disorder (ASD), which include altered responses to sensory stimuli. Previously it was shown thatDrosophilalarvae lacking expression of ASD-associatedNf1display a heightened response to a mechanical stimulus and increased neuronal excitability, likely due to excessive Ras activity. Here, out of a screen for compounds targeting such mechanisms, we identified simvastatin and BMS-204352 to reduce the likelihood of a response inNf1−/-larvae following mechanical stimulation. These compounds also improved synaptic transmission defects at the neuromuscular junction. Such findings support the further study of these drugs as potential ASD therapies in the clinic.
The HCN1 hyperpolarization-activated cyclic nucleotide-gated channel enhances evoked GABA release from parvalbumin positive interneurons
Authors: Bock Tobias , Buss Eric W. , Lofaro Olivia M. , Leroy Felix , Santoro Bina , Siegelbaum Steven A. 
Published: November 2022

AbstractHyperpolarization-activated, cyclic nucleotide-gated (HCN) channels generate the cationic Ih current in neurons and regulate the excitability of neuronal networks. The function of HCN channels depends, in part, on their subcellular localization. Of the four HCN isoforms (HCN1-4), HCN1 is strongly expressed in the dendrites of pyramidal neurons in hippocampal area CA1 but also in presynaptic terminals of parvalbumin-positive interneurons (PV+ INs), which provide strong inhibitory control over hippocampal activity. Yet, little is known about how HCN1 channels in these cells regulate the evoked release of the inhibitory transmitter GABA from their axon terminals. Here, we used several genetic, optogenetic, electrophysiological and imaging techniques to investigate how the electrophysiological properties of PV+ INs are regulated by HCN1, including how HCN1 activity at presynaptic terminals regulates the release of GABA onto pyramidal neurons (PNs) in CA1. We found that application of HCN1 pharmacological blockers reduced the amplitude of the inhibitory postsynaptic potential recorded from CA1 pyramidal neurons in response to selective optogenetic stimulation of PV+ INs. Homozygous HCN1-/-knockout mice also show reduced IPSCs in postsynaptic cells. Finally, two-photon imaging using genetically encoded fluorescent calcium indicators revealed that HCN1 blockers reduced the probability that an extracellular electrical stimulating pulse evoked a Ca2+response in individual PV+ IN presynaptic boutons. Taken together, our results show that HCN1 channels in the axon terminals of PV+ interneurons facilitate GABAergic transmission in the hippocampal CA1 region.
Revealing unexpected complex encoding but simple decoding mechanisms in motor cortex via separating behaviorally relevant neural signals
Authors: Li Yangang , Zhu Xinyun , Qi Yu , Wang Yueming 
Published: November 2022

AbstractIn motor cortex, behaviorally-relevant neural responses are entangled with irrelevant signals, which complicates the study of encoding and decoding mechanisms. It remains unclear whether behaviorally-irrelevant signals could conceal some critical truth. One solution is to accurately separate behaviorally-relevant and irrelevant signals at both single-neuron and single-trial levels, but this approach remains elusive due to the unknown ground truth of behaviorally-relevant signals. Therefore, we propose a framework to define, extract, and validate behaviorally-relevant signals. Analyzing separated signals in three monkeys performing different reaching tasks, we found neural responses previously considered to contain little information actually encode rich behavioral information in complex nonlinear ways. These responses are critical for neuronal redundancy and reveal movement behaviors occupy a higher-dimensional neural space than previously expected. Surprisingly, when incorporating often-ignored neural dimensions, behaviorally-relevant signals can be decoded linearly with comparable performance to nonlinear decoding, suggesting linear readout may be performed in motor cortex. Our findings prompt that separating behaviorally-relevant signals may help uncover more hidden cortical mechanisms.
Paired aptamer capture and FISH detection of individual virions enables cell-free determination of infectious titer
Authors: Liu Yifang , Potts Jacob L. , Bloch Dylan , Nian Keqing , McCormick Caroline A. , Fanari Oleksandra , Rouhanifard Sara H. 
Published: November 2022

AbstractEarly detection of viruses can prevent the uncontrolled spread of viral infections. Determination of viral infectivity is also critical for determining the dosage of gene therapies, including vector-based vaccines, CAR T-cell therapies, and CRISPR therapeutics. In both cases, for viral pathogens and viral vector delivery vehicles, fast and accurate measurement of infectious titer is desirable. The most common methods for virus detection are antigen-based (rapid but not sensitive) and reverse transcription polymerase chain reaction (RT-PCR)-based (sensitive but not rapid). Current viral titer methods heavily rely on cultured cells, which introduces variability within labs and between labs. Thus, it is highly desirable to directly determine the infectious titer without using cells. Here, we report the development of a direct, fast, and sensitive assay for virus detection (dubbed rapid-aptamer FISH or raptamer FISH) and cell-free determination of infectious titers. Importantly, we demonstrate that the virions captured are “infectious,” thus serving as a more consistent proxy of infectious titer. This assay is unique because it first captures viruses bearing an intact coat protein using an aptamer, then detects genomes directly in individual virions using fluorescence in situ hybridization (FISH)– thus, it is selective for infectious particles (i.e., positive for coat protein and positive for genome).
Neuronal contact predicts connectivity in theC. elegansbrain
Authors: Cook Steven J. , Kalinski Cristine A. , Hobert Oliver 
Published: November 2022

SummaryAxons must project to particular brain regions, contact adjacent neurons, and choose appropriate synaptic targets to form a nervous system. Multiple mechanisms have been proposed to explain synaptic partnership choice. In a ‘lock-and-key’ mechanism, first proposed by Sperry’s chemoaffinity model1, a neuron selectively chooses a synaptic partner among several different, adjacent target cells, based on a specific molecular recognition code2. Alternatively, Peters’ rule posits that neurons indiscriminately form connections with other neuron types in their proximity; hence, neighborhood choice, dictated by initial neuronal process outgrowth and position, is the sole predictor of connectivity3,4. However, whether Peters’ rule plays an important role in synaptic wiring remains unresolved5. To assess the nanoscale relationship between neuronal adjacency and connectivity, we evaluate the expansive set ofC. elegansconnectomes. We find that synaptic connectivity can be accurately modeled as a path-length-dependent process of neuronal adjacency and brain strata, offering strong support for Peters’ rule as an organizational principle ofC. elegansbrain wiring.
Impact for good: a journey toward impact through marketing scholarship
Authors: Scott Maura L. , Mende Martin 
Published: November 2022

Purpose
This study aims to propose approaches to cocreating new knowledge at the intersection of theory, practice, policy and consumers, broadly inspired by the United Nations’ sustainable development goals.

Design/methodology/approach
Following a process perspective, this study’s approach begins with a well-being-related problem and collaboratively works with stakeholders to exchange, disseminate and generate knowledge, with the goal of helping to improve quality-of-life for consumers.

Findings
To demonstrate applications of impact in action, this study provides illustrative cases from three scholarly research collaborations that involve working closely with organizations in health-care and financial services.

Research limitations/implications
This research provides recommendations for facilitating impactful research collaborations.

Practical implications
This study emphasizes the vital role that consumers and practitioners play in collaboration for impact.

Originality/value
A central theme in this work is the idea that being more inclusive of vulnerable and previously underserved customer populations can lead to potentially beneficial outcomes for consumers and firms, while also helping to facilitate the creation of new scholarly marketing knowledge in the process.
Initiating salary negotiations: a mixed-methods study into the effects of gender, shame and pay-raise justifications
Authors: Nelson Noa , Kalfon Hakhmigari Maor , Horesh Neta 
Published: November 2022

Purpose
Based on gender role theory, this study aims to test a moderated mediation model in which gender, mediated by shame, affected salary negotiation initiation and writing pay raise justifications before the negotiation moderated gender effects, by boosting women’s negotiation initiation and lowering their shame.

Design/methodology/approach
Mixed-methods approach: in a scenario experiment, participants (N = 172; 92 women) imagined initiating salary negotiations with real employers, and shame and the inclination to actually initiate the negotiation were measured. About half the sample wrote pay raise justifications as part of the task. In the qualitative phase of the study, justifications were analyzed.

Findings
The model’s predictions were not supported. Women were neither less inclined to negotiate nor reported higher shame than men. Across gender, shame related to lower negotiation initiation and was alleviated by justifications’ preparation. Writing justifications did not affect men’s negotiation initiation, but lowered women’s. The qualitative analysis revealed that while all participants preferred communal themes in their justifications, women used themes of confidence, entitlement and power less than men.

Originality/value
The study provides original evidence in negotiation literature, on the effects of shame, on the practice of preparing pay raise justifications and on specific patterns in justifications’ content.
The relationship between body mass index, anthropometric measurements and GRACE risk score in acute coronary syndrome
Authors: Arslan Nurgul , Akbulut Gamze , Süleymanoğlu Muhammed , Alataş Hacer , Yaprak Bülent 
Published: November 2022

Purpose
This study aims to determine the relationship between body mass index (BMI) and Global Registry of Acute Coronary Events (GRACE) risk score in patients diagnosed with acute coronary syndrome (ACS) and to evaluate the results in this context.

Design/methodology/approach
This was a prospective cohort study of ACS patients admitted to a cardiac care unit in high specialization hospital's cardiology service. The study included 140 men aged >35 years who were diagnosed with ACS.

Findings
The mean age of the individuals participating in the study was 61.4 ± 10.9 years old. The mean BMI of the individuals was 25.3 ± 6.6 kg/m2, and the mean value of the waist/hip ratio was 0.85 ± 0.01. Individuals were divided into four quarters according to the GRACE score. It was determined that individuals with the highest GRACE score were very underweight or morbidly obese according to their BMI values (p = 0.04).

Originality/value
It has been observed that there is a U-shaped relationship between the GRACE score and the BMI in individuals diagnosed with ACS. The risk of death of ACS patients with very high or very low BMI values was found to be close to each other. Although there is a relationship between BMI and GRACE score, it is concluded that it is insufficient to determine the risk in coronary disease alone, and body fat distribution should be examined together with BMI.
THE DISTINCTIVE EVOLUTION OF HOUSING FINANCIALIZATION IN BRAZIL AND MEXICO
Authors: Reyes Alejandra , Basile Patricia 
Published: November 2022

AbstractAfter defaulting on their foreign‐debt obligations in the 1980s, several Latin American countries had to restructure their economies to boost market‐led growth. Some of the ensuing housing reforms promoted mortgage expansion and mass housing production. Mexico was among the first countries to follow this logic, and in a particularly aggressive manner. Credit liberalization allowed a handful of real estate firms to experience massive expansions in their operations in the 2000s as they were able to build lower‐middle‐income housing at an accelerated rate by accessing public, pension and private equity funds. Brazil eventually appropriated some aspects of the Mexican housing model, but not others. In the late 2000s, Brazil began providing deep subsidies to low‐income households to connect the private supply of housing with a publicly subsidized demand. This article discusses, challenges and moves beyond prior analyses of these processes by contrasting the two countries’ housing finance models and examining the more recent (2010s) evolution and normative shifts in their housing and urban development policy agendas. Despite the direct policy transfer between the two contexts, the South‐South comparative analysis presented in the article highlights the fluctuating and unstable nature of financialization processes given the varied inclination of national governments to manage, promote or restrict them, or to contain or accentuate capitalist crises and their implications.
Environmental impacts and diet quality of popular diet models compared to Turkey's national nutrition guidelines
Authors: Kemaloglu Mehmetcan , Öner Neslihan , Soylu Meltem 
Published: November 2022

AbstractAimsThis study aimed to compare the environmental impacts and diet qualities of popular diet models with the recommendations of the Turkish national dietary guidelines.MethodsSeven‐day isocaloric (8368 kJ) diet models were created taking into account the Mediterranean, Atkins (20/40/100), Ornish, Zone diets, and Turkey Dietary Guidelines‐2015 recommendations with different food and nutrient contents. Water footprints were evaluated using the global water footprint standards. Greenhouse gas emissions were evaluated using carbon footprint factors compiled as a result of meta‐analyses of life cycle analysis studies in the literature. In addition, the quality of diets was evaluated with the Diet Quality Index‐International.ResultsAtkins20 diet model had the most harmful environmental impact (greenhouse gas emissions 8.74 kg CO2‐eq/per/day and total water footprint 7731 L/per/day), whereas Ornish and Mediterranean diet models (greenhouse gas emissions 2.2/3.07 kg CO2‐eq/per/day and total water footprints 3184/3675 L/per/day, respectively) had less harmful environmental impact. The highest Diet Quality Index‐International score was in the Ornish diet model while the lowest Diet Quality Index‐International was in the Atkins20 diet model.ConclusionOrnish and Mediterranean diet models had less harmful environmental impacts, which contributed to sustainable nutrition. The importance of diet quality and environmental impacts should be kept in mind when evaluating diet models to ensure sustainable nutrition.
Convolutional neural network‐based portable computer vision system for freshness assessment of crayfish (Prokaryophyllus clarkii)
Authors: Wang Chao , Liu Yan , Xia Zhenzhen , Wang Qiao , Duan Shuo , Gong Zhiyong , Chen Jiwang 
Published: November 2022

AbstractDeveloping novel techniques for freshness assessment are of the utmost importance in yield and trade of aquatic products. The crayfish (Prokaryophyllus clarkii) is one of the most popular freshwater products in China, and its food safety should be a serious concern. In this study, a convolutional neural network (CNN)‐based portable computer vision system for freshness assessment of crayfish method was proposed. A portable microscope was utilized to collect the microscopic images of crayfish with different freshness levels. The convolutional neural network was constructed and then optimized to extract features from the microscopic images. For the pictures from the portable microscope, the prediction accuracies of freshness could be 86.5% and 83.3% when the optimized networks were applied. The results indicate that the convolutional neural network‐based portable computer vision system may provide an alternative way for the freshness assessment in the crayfish industrial chain.Practical ApplicationPortable computer vision system was constructed by a portable microscope connected to a mobile phone. The freshness of crayfish could be rapidly assessed by analyzing the pictures of crayfish using the system. The convolutional neural network‐based portable computer vision system may provide an alternative way for the freshness assessment in the crayfish industrial chain.