bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rapid Neural Reorganization during Retrieval Practice Predicts Subsequent Long-term Retention and False Memory
Authors: Zhuang Liping , Wang Jingyi , Xiong Bingsen , Bian Cheng , Hao Lei , Bayley Peter J. , Qin Shaozheng 
Published: April 2020

AbstractActive retrieval can induce changes to the strength and content of a memory, yielding enhanced or distorted subsequent recall. But how consolidation influences these retrieval-induced seemingly contradictory outcomes remains unknown. Here we show rapid neural reorganization over eight runs of retrieval practice predicted subsequent recall. Behaviorally, retrieval practice boosted memory following a 24-hour (long-term) but not a 30-minute delay, and increased false memory at both delays. Long-term retention gains were predicted by multi-voxel representation distinctiveness in the posterior parietal cortex that increased progressively over retrieval practice. False memory was predicted by unstable representation distinctiveness in the medial temporal lobe during retrieval practice. Memory-related neural networks gradually reconfigured over retrieval practice, with the ventrolateral and medial prefrontal cortex acting as hubs for functional connections that predicted long-term retention gains and false memory outcomes respectively. Our findings demonstrate dynamic neural reorganization during retrieval practice, through which memories are arranged into discrete yet malleable representations for subsequent consolidation.
Reagentless Biomolecular Analysis Using a Nanoscale Molecular Pendulum
Authors: Das Jagotamoy , Gomis Surath , Chen Jenise B. , Yousefi Hanie , Ahmed Sharif , Mahmud Alam , Zhou Wendi , Sargent Edward H. , Kelley Shana O. 
Published: April 2020

AbstractThe ability to sense biological inputs using self-contained devices unreliant on external reagents or reporters would open countless opportunities to collect information about our health and environment. Currently, a very limited set of molecular inputs can be detected using this type of sensor format. The development of versatile reagentless sensors that could track molecular analytes in biological fluids remains an unmet need. Here, we describe a new universal sensing mechanism that is compatible with the analysis of proteins that are important physiological markers of stress, allergy, cardiovascular health, inflammation and cancer. The sensing mechanism we developed is based on the measurement of field-induced directional diffusion of a nanoscale molecular pendulum tethered to an electrode surface and the sensitivity of electron-transfer reaction kinetics to molecular size. Using time-resolved electrochemical measurements of diffusional motion, the presence of an analyte bound to a sensor complex can be continuously tracked in real time. We show that this sensing approach is compatible with making measurements in blood, saliva, urine, tears and sweat and that the sensors can collect datain situin living animals. The sensor platform described enables a broad range of applications in personalized health monitoring.
Mobilization of tissue-resident memory CD4+T lymphocytes and their contribution to a systemic secondary immune reaction
Authors: Cendón Carla , Du Weijie , Durek Pawel , Alexander Tobias , Serene Lindsay , Lai Tina , Schulz Axel Ronald , Rao Anna , Heinz Gitta-Anne , Stefanski Ana-Luisa , Bruns Anne , Siewert Katherina , Dörner Thomas , Chang Hyun-Dong , Volk Hans-Dieter , Romagnani Chiara , Mashreghi Mir-Farzin , Thurley Kevin , Radbruch Andreas , Dong Jun 
Published: April 2020

AbstractWhile it is generally accepted that tissue-resident memory T lymphocytes protect host tissues from secondary immune challenges, it is unclear whether, and if so, how they contribute to systemic secondary immune responses. Here we show that in human individuals with an established immune memory to measles, mumps and rubella viruses, when challenged with the measles-mumps-rubella (MMR) vaccine again, tissue-resident memory CD4+T cells are mobilized into the blood within 16 to 48 hours after vaccination. These cells then leave the blood again, and apparently contribute to the systemic secondary immune reaction, as is evident from the representation of mobilized T cell receptor Vβ clonotypes among newly generated circulating memory T lymphocytes, from day 7 onwards. Mobilization of the tissue-resident memory T cells is cognate, in that memory T lymphocytes recognizing other antigens, e.g. tetanus toxin, are not mobilized, unless they cross-react with the vaccine. These data originally demonstrate the essential contribution of tissue-resident memory T cells to secondary systemic immune responses, confirming that immunological memories to systemic pathogens are maintained (also) by tissue-resident memory T cells. In practical terms, the present work defines day 1 to 2 after antigenic challenge as a time window to assess the entire immunological T cell memory for a certain pathogen, including mobilized tissue-resident memory T cells, and its correlates of effectivity.Capsule summaryThe study demonstrates the rapid and cognate mobilization of tissue-resident memory CD4+T cells into the blood upon antigenic rechallenge, and their contribution to secondary systemic immune responses.
FRET-based aptamer assay for sensitive detection ofSalmonella paratyphiA and revealing its molecular interaction with DNA gyrase
Authors: Renuka RM , Maroli Nikhil , Achuth J , Kadirvelu K 
Published: April 2020

AbstractRapid pathogen detection and identification of its serovars are crucial to provide essential treatment during pandemic circumstances. Herein, we developed a facile and versatile FRET-based aptasensor for rapidSalmonella paratyphiA detection. The ssDNA aptamers specific towards pathogenicSalmonella paratyphiA were generated via whole-cell SELEX. The aptamer was conjugated onto quantum dot (QD) that served as the molecular beacon and graphene oxide (GO) was used as fluorescence quencher. The detection ofSalmonella paratyphiA leads to the quenching of QD fluorescence due to the non-covalent interaction between GO and CdTe quantum dot. The assay shows a detection limit up to 10 cfu·mL−1 with no cross-reactivity towards closely related species. The spiking analysis demonstrated an inter-assay coefficient of variance less than 8 % and recovery rate between 85%-102% mitigates assay reliability. Further analysis with commercially available ELISA kit validated the reliability of the developed aptasensor. Furthermore, molecular dynamics simulation was used to establish the mechanism of action of generated aptamer against bacterial DNA gyrase protein. The strong non-bonded interaction energies along with hydrogen bonds between the aptamer and protein inhibit the function of the bacteria.
Metabolomic markers of colorectal tumor with different clinicopathological features
Authors: Long Zhiping , Zhou Junde , Xie Kun , Wu Zhen , Yin Huihui , Daria Volontovich , Tian Jingshen , Zhang Nannan , Li Liangliang , Zhao Yashuang , Wang Fan , Wang Maoqing , Cui Yunfu 
Published: April 2020

ABSTRACTBackgroundColorectal cancer (CRC) is the result of complex interactions between the tumor’s molecular profile and metabolites produced by its microenvironment. Despite recent studies identifying CRC molecular subtypes, a metabolic classification system is still lacking. We aimed to explore the distinct phenotypes and subtypes of CRC at the metabolic level.MethodsWe conducted an untargeted metabolomics analysis of 51 paired tumor tissues and adjacent mucosa using ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry. Multivariate analysis including principal component analysis, orthogonal partial least squares discriminant analysis and heat maps, univariate analysis, and pathway analysis were used to identify potential metabolic phenotypes of CRC. Unsupervised consensus clustering were used to identify robust metabolic subtypes, and evaluated their clinical relevance.ResultsA total of 173 metabolites (including nucleotides, carbohydrates, free fatty acids, and choline) were identified between CRC tumor tissue and adjacent mucosa. We found that lipid metabolism was closely related to the occurrence and progression of CRC and CRC tissues could be divided into three subtypes, and statistically significant correlations between different subtypes and clinical prognosis were observed.ConclusionsCRC tumor tissue exhibits distinct metabolic phenotypes. Metabolic differences between subtypes may provide a basis and direction for further clinical individualized treatment planning.
Optimisation strategies for the registration of Computed Tomography images of electropalatography
Authors: Sierhej Agnieszka , Verhoeven Jo , Miller Naomi Rachel , Reyes-Aldasoro Constantino Carlos 
Published: April 2020

AbstractElectropalatography is a technique that employs a custom-made artificial palate to measure the contact established between the tongue and the hard palate. This technique is widely used in treatment of articulation disorders and studies of speech. In order to evaluate the accuracy of the electropalate, the device needs to be separated from the volume that usually contains electropalate worn on hard palate. This is done with the use of segmentation techniques. Prior to the segmentation, the registration of the two volumes, one containing the electroplate worn on hard palate, and one containing only hard palate, needs to be done. The registration is a technique of aligning multiple images by geometrical transform. Over the years, many methods for registration have been developed. The following paper describes the method of registration based on sensitivity analysis. Sensitivity analysis is a technique that evaluates the change in the number of pixels with different intensity with a shift of the volumes in different dimensions. Then based on the found optimal shift value, the shift in different dimension of the matrix is made. The technique successfully improves the alignments between two data sets, reducing the number of non-matching pixels. The sensitivity analysis-based registration should be useful in the future improvement of image processing tools that are crucial for the medical imaging.
Development of a genome-scale metabolic model ofClostridium thermocellumand its applications for integration of multi-omics datasets and strain design
Authors: Garcia Sergio , Thompson R. Adam , Giannone Richard J. , Dash Satyakam , Maranas Costas D. , Trinh Cong T. 
Published: April 2020

AbstractSolving environmental and social challenges such as climate change requires a shift from our current non-renewable manufacturing model to a sustainable bioeconomy. To lower carbon emissions in the production of fuels and chemicals, plant biomass feedstocks can replace petroleum using microorganisms as catalysts. The anaerobic thermophileClostridium thermocellumis a promising bacterium for bioconversion due to its capability to efficiently degrade untreated lignocellulosic biomass. However, the complex metabolism ofC. thermocellumis not fully understood, hindering metabolic engineering to achieve high titers, rates, and yields of targeted molecules. In this study, we developed an updated genome-scale metabolic model ofC. thermocellumthat accounts for recent metabolic findings, has improved prediction accuracy, and is standard-conformant to ensure easy reproducibility. We illustrated two applications of the developed model. We first formulated a multi-omics integration protocol and used it to understand redox metabolism and potential bottlenecks in biofuel (e.g., ethanol) production inC. thermocellum. Second, we used the metabolic model to design modular cells for efficient production of alcohols and esters with broad applications as flavors, fragrances, solvents, and fuels. The proposed designs not only feature intuitive push-and-pull metabolic engineering strategies, but also novel manipulations around important central metabolic branch-points. We anticipate the developed genome-scale metabolic model will provide a useful tool for system analysis ofC. thermocellummetabolism to fundamentally understand its physiology and guide metabolic engineering strategies to rapidly generate modular production strains for effective biosynthesis of biofuels and biochemicals from lignocellulosic biomass.
Is performance evaluation gendered for behavioural dimension?
Authors: Chattopadhyay Rachana 
Published: April 2020

PurposeResearches have already pointed out the linkage between pro-male bias and performance evaluation system. The main aim of this study is to understand how far different dimensions of performance measures are susceptible to gender stereotype.Design/methodology/approachTwo separate experimental researches were designed to understand whether the performance assessment is purely based on objective criteria or it is governed by the gender stereotype. Two different performance dimensions of assessment were considered in this study as follows: interactional (behavioural) and procedural. 129 customer care managers from four metro cities of India voluntarily participated in this experimental research and played the role of performance evaluator. These managers were placed in different experimental conditions related to different combinations of gender and justice variations (interactional or procedural).FindingsThis study reveals that in violation of behaviour-based performance norm (interactional justice norm), female employees were rated less favourably than male employee both in terms of performance rating and reward recommendation by the managers, but it is not in case of procedural justice violation.Originality/valueThis article has experimentally proved how gender stereotype can distort the performance evaluation of behavioural dimension.
HR signals in the context of HRM-firm performance relationship: development of a conceptual framework
Authors: Bandyopadhyay Chiradip , Srivastava Kailash B. L. 
Published: April 2020

PurposeThe purpose of this paper is to reframe human resources' (HR) systems and practices as HR signals drawing from conceptualizations of signals. The construct of the strength of signal is developed to quantify the attributional ability of HR signals. To examine the role of HR signals in influencing employee behaviours and firm performance, human resource management (HRM)-firm performance relationship is considered as a framework to develop a firm-level conceptual model which integrates factors affecting HR signals and its consequences.Design/methodology/approachThe paper examines the existing literature on the relationship between HRM and firm performance. In the process, the paper considers the concept of HR signal and makes a case for the strength of HR signal. Finally, the paper offers a conceptual model in order to link the antecedents and consequents of HR signals.FindingsThe paper offers a conceptual model to address the gaps in the relationship between HRM and firm performance. It also brings into focus an understanding of HRM as signals and its importance in understanding firm performance.Originality/valueThe paper enriches the existing literature by examining HRM as HR signals. It adds to the literature by considering the attributional ability of HR, through the construct of the strength of HR signals.
Effect of roundness error on the performance of novel gas foil conical bearings
Authors: Hu Hongyang , Feng Ming , Ren Tianming 
Published: April 2020

PurposeThe purpose of this paper is to study the effect law of roundness error on the properties of gas foil conical bearing (GFCB), and the performance of bearings with different non-circular sleeve shapes are calculated.Design/methodology/approachFor the bump-type GFCB, the nonlinear bump foil stiffness model and 1-D beam top foil stiffness model are built. On this basis, the finite element method and finite difference method are used to solve the Reynolds equation and the film thickness equation coupled, and the static and dynamic properties of GFCB are calculated. The effect law of sleeve roundness error on the static performance under different conditions is obtained. Moreover, the dynamic stiffness and damping characteristics under different errors are also studied.FindingsThe roundness error will decrease the load capacity and friction torque of GFCB, and increase the attitude angle. The error effect is more dramatic when there is larger eccentric, small nominal clearance, larger error value and more error lobes, and the static performance exhibits a periodic change in the circumferential direction. The roundness error can also decrease the direct stiffness and cross-coupled damping of GFCB, while the cross-coupled stiffness increases largely, which will reduce the bearing stability.Originality/valueThe roundness error adversely affects the static and dynamic characteristics of GFCB, which should be concerned by bearing designers, researchers and academicians.Peer reviewThe peer review history for this article is available at:https://publons.com/publon/10.1108/ILT-01-2020-0019/
Study on friction characteristics of sliding interface of feed system
Authors: Li Pan-Pan , Gao Feng , Li Yan , Yang Bo 
Published: April 2020

Purpose
The serious friction caused by the fluctuation of friction occurs when start-up and will reduce the positioning accuracy of the servo axes of high precision machine tools, the purpose of this paper is to study the friction fluctuation characteristics of friction coefficients between interfaces under different working conditions.

Design/methodology/approach
HT200 and 45# materials were experimentally studied by friction and wear testing machine UMT-3, the variation of friction coefficient under different working conditions (different start-up conditions, the variation of lubrication state area and different roughness) were measured.

Findings
The results show that the larger start-up acceleration shortens the pre-sliding time of the interface friction, makes the friction coefficient decrease faster, reduces the mixed lubrication area of the contact surface and makes the contact surface reach the stable lubrication state quickly. It can be concluded that the larger roughness surface will lead to the larger mixed lubrication area, the larger static friction coefficient and the larger drop between static and dynamic friction coefficient and easy to cause friction vibration.

Originality/value
The results reveal the friction fluctuation rule of the metal interface during the different start-up process, which is of guiding significance to reveal the lubrication principle and mechanism of the mechanical interface.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-11-2019-0482/
Proactive risk mitigation strategies and supply chain risk management performance: an empirical analysis for manufacturing firms in Turkey
Authors: Can Saglam Yesim , Yildiz Çankaya Sibel , Sezen Bulent 
Published: April 2020

PurposeIn spite of its potential benefits in a wide range of situations, supply chain risk mitigation strategies have received scant attention on the subject of managing the supply chain risk in the business environment. Especially, there is still a limited understanding of the importance of firms’ supply chain flexibility, resilience and responsiveness in the supply chain risk management (SCRM) literature. This research focuses on exploring the relationship between significant proactive risk mitigation strategies, namely supply chain (SC) flexibility, resilience and responsiveness, as well as SCRM performance to facilitate bridging the gap between mitigation strategies and SCRM performance. The moderating role of risk management (RM) culture was also hypothesized and tested.Design/methodology/approachA survey-based methodology is adopted. The data are analyzed using the technique of partial least squares.FindingsThe results indicate that SC resilience and responsiveness are positively associated with SCRM performance; however, SC flexibility does not. In addition, interestingly, RM culture does not moderate these relationships in spite of the extant literature. We argue that this could be due to the fact that risk management culture is at the beginning stage for an enterprise in Turkey.Originality/valueThis study extends the existing literature by advancing the knowledge on the relationship between proactive risk management strategies, which applied to overcome uncertainties and SCRM performance.
Rediscovering people, places and traditions: a story of stories
Authors: Palladino Monica 
Published: April 2020

Purpose
Focussing on the links among people, places and traditions, this study aims to present the reflections derived from five in-depth personal interviews on traditions regarding wine, fish, cheese making and rural hospitality, collected in a journey across the province of Reggio Calabria in southern Italy. It provides an original view of the “stories” behind the places and the products, useful to inform local development strategies centred on traditional food products.

Design/methodology/approach
The article presents a novel approach in conducting research that involves collecting information via empathetic interviews and presenting the findings in a reflexive, narrative storytelling style.

Findings
Empathetic personal interviewing is key to elicit information useful to frame the links among people, places and traditions. The economic motivation is not the main one for people to remain engaged in the production of traditional food products in the province of Reggio Calabria. Pride in linking their activities and the products they make to the territory, its traditions and the culture embedded therein, clearly contribute to define a sense of place that might be further drawn upon in participatory, rural development initiatives.

Research limitations/implications
Due to the way in which the interviewees have been selected, not all findings can be generalized as applicable to the entire Province or beyond.

Practical implications
Recognizing the people and the stories behind a product may offer insights on how to design effective, socially sustainable policies that would preserve important traditions. Personal food narratives might contribute, in a unique way, to an effective branding of the products and the territory.

Social implications
Doing more empathetically participatory research, rather than taking a “neutral” stance in data collection and data crunching, which has traditionally characterized the work of agricultural economists, may help in making the institutions being perceived as less distant by the ultimate beneficiary of development policies and make participatory planning much more effective.

Originality/value
The article contributes to an emerging area of research at the intersection between agricultural economics and rural development policy. How to highlight and protect the people and their stories as fundamental aspects of the “places”, “products” and “traditions”, remains an area of research that has not yet been fully explored, at least in the rhetoric and discourse on integrated rural development in Italy.