bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hierarchical Timescales in the Neocortex: Mathematical Mechanism and Biological Insights
Authors: Li Songting , Wang Xiao-Jing 
Published: September 2021

AbstractA cardinal feature of the neocortex is the progressive increase of the spatial receptive fields along the cortical hierarchy. Recently, theoretical and experimental findings have shown that the temporal response windows also gradually enlarge, so that early sensory neural circuits operate on short-time scales whereas higher association areas are capable of integrating information over a long period of time. While an increased receptive field is accounted for by spatial summation of inputs from neurons in an upstream area, the emergence of timescale hierarchy cannot be readily explained, especially given the dense inter-areal cortical connectivity known in modern connectome. To uncover the required neurobiological properties, we carried out a rigorous analysis of an anatomically-based large-scale cortex model of macaque monkeys. Using a perturbation method, we show that the segregation of disparate timescales is defined in terms of the localization of eigenvectors of the connectivity matrix, which depends on three circuit properties: (1) a macroscopic gradient of synaptic excitation, (2) distinct electrophysiological properties between excitatory and inhibitory neuronal populations, and (3) a detailed balance between long-range excitatory inputs and local inhibitory inputs for each area-to-area pathway. Our work thus provides a quantitative understanding of the mechanism underlying the emergence of timescale hierarchy in large-scale primate cortical networks.Significance StatementIn the neocortex, while early sensory areas encode and process external inputs rapidly, higher association areas are endowed with slow dynamics suitable for accumulating information over time. Such a hierarchy of temporal response windows along the cortical hierarchy naturally emerges in a model of multi-areal primate cortex. This finding raises the question of why diverse temporal modes are not mixed in roughly the same way across the whole cortex, despite high connection density and an abundance of feedback loops. We investigate this question by mathematically analyzing the anatomically-based network model of macaque cortex, and show that three general principles of synaptic excitation and inhibition are crucial for timescale segregation in a hierarchy, a functionally important characteristic of the cortex.
Mapping of a N-terminal α-helix domain required for human PINK1 stabilisation, Serine228 autophosphorylation and activation in cells
Authors: Kakade Poonam , Ojha Hina , Raimi Olawale G. , Shaw Andrew , Waddell Andrew D. , Ault James R. , Burel Sophie , Brockmann Kathrin , Kumar Atul , Ahangar Mohd Syed , Krysztofinska Ewelina M. , Macartney Thomas , Bayliss Richard , Fitzgerald Julia C. , Muqit Miratul M. K. 
Published: September 2021

AbstractHuman autosomal recessive mutations in the PINK1 gene are causal for Parkinson’s disease (PD). PINK1 encodes a mitochondrial localised protein kinase that is a master-regulator of mitochondrial quality control pathways. Structural studies to date have elaborated the mechanism of how mutations located within the kinase domain disrupt PINK1 function, however, the molecular mechanism of PINK1 mutations located upstream and downstream of the kinase domain are unknown. We have employed mutagenesis studies of human PINK1 in cells to define the minimal region of PINK1, required for optimal ubiquitin phosphorylation, beginning at residue Ile111. Bioinformatic analysis of the region spanning Ile111 to the kinase domain and inspection of the AlphaFold human PINK1 structure model predicts a conserved N-terminal α-helical domain extension (NTE domain) within this region corroborated by hydrogen/deuterium exchange mass spectrometry (HDX-MS) of recombinant insect PINK1 protein. The AlphaFold structure also predicts the NTE domain forms an intramolecular interaction with the C-terminal extension (CTE). Cell-based analysis of human PINK1 reveals that PD-associated mutations (e.g. Q126P), located within the NTE:CTE interface, markedly inhibit stabilization of PINK1; autophosphorylation at Serine228 (Ser228); and Ubiquitin Serine65 (Ser65) phosphorylation. Furthermore, we provide evidence that NTE domain mutants do not affect intrinsic catalytic kinase activity but do disrupt PINK1 stabilisation at the mitochondrial Translocase of outer membrane (TOM) complex. The clinical relevance of our findings is supported by the demonstration of defective stabilization and activation of endogenous PINK1 in human fibroblasts of a patient with early-onset PD due to homozygous PINK1 Q126P mutations. Overall, we define a functional role of the NTE:CTE interface towards PINK1 stabilisation and activation and show that loss of NTE:CTE interactions is a major mechanism of PINK1-associated mutations linked to PD.
Inhibition of HIV-1 immune modulation by small molecules targeting viral Nef-host CD80 interface
Authors: Sharma Anusmrithi U. , Sharma Shweta , Arumugam Gandhimathi , Nair Archana Padmanabhan , Ambala Srinivas , Munagala Gurunadham , Yempalla Kushalava Reddy , Munjal Akankshi , Rajkumar Shreenidhi , Kamariah Neelagandan , Venkitaraman Ashok R. , Sowdhamini Ramanathan , Saiyed Taslimarif , Singh Parvinder Pal , Vishwakarma Ram A. , Mayor Satyajit , Karumbati Anandi S. 
Published: September 2021

SummaryHIV-1 causes diverse immunomodulatory responses in the host, including the down-regulation of co-stimulatory proteins CD80/86, mediated by HIV-1 protein Nef, blunting T-cell activation. Using a screening cascade of biochemical and cell-based assays, we identified potent small molecules representing three chemical scaffolds namely amino pyrimidine, phenoxy acetamide and bi-aryl heteroaryl carbamate which target the protein-protein interaction interface of CD80/86 and Nef with sub-micromolar potency. These molecules restore CD80/86 surface levels in HIV-1-Nef infected antigen presenting cells and T-cell activation. Nef-CD80 interface and small molecule binding sites were mapped by using computational docking and structural studies, followed by validation by mutational analysis. This analysis resulted in the identification of two key residues, K99 and R111, which were associated with down-modulation of CD80 surface levels by Nef and important for small molecule binding. Targeting these interacting residues disabled Nef-mediated down-modulation of CD80 surface levels, consequently restoring T-cell activation. Thus, we validate a new target, the Nef-CD80/86 protein-protein interaction interface, with a potential to develop new inhibitors to counteract the immunomodulatory consequences of HIV-1.
The strategic role of intellectual capital components in agri-food firms
Authors: Paoloni Paola , Modaffari Giuseppe , Paoloni Niccolò , Ricci Federica 
Published: September 2021

PurposeRecent socioeconomic events, not least the Covid-19 pandemic, have led farms to rethink their traditional production methods. Innovation, new technologies and the establishment of relationships could be crucial for farms to remain competitive and sustainable over time. These factors can be assumed as structural and relational capital, two of intellectual capital's components. In this stream, the aim of this paper is to analyze how structural and relational capital could contribute to farm's sustainability in terms of competitiveness during its normal life cycle and in terms of resilience during an uncertain period, such as the coronavirus emergency.Design/methodology/approachThe paper is supported by the qualitative methodology of a single case study. To reach the declared goal, the paper applies the C.A.O.S. (Characteristics, Ambience, Organizations, Start-up) model, an interpretative model for analyzing the small and medium enterprise dimension. In this way, the main aspects that allowed the farm to be competitive and to react at the emergency period were described.FindingsThe findings show that innovation technology involved the farm's internal processes, improving execution, control and feedback phases. Thanks to the two main introduced innovations, the farm reduced staffing costs and minimized cultivation risk related to climatic factors. These innovations are the main factors allowing the farm to increase its efficiency. Moreover, the proactive and reactive roles of the structural and relational capital to face the emergency period are confirmed.Originality/valueThe paper contributes to the literature in several ways. Regarding innovation literature, the paper shows how technology helps farms to improve their performance and their global competitiveness. Insight into structural and relational capital enhances the knowledge of intangible assets, such as intellectual capital. In the light of the Covid-19 emergency, the work demonstrates how the main resilience factors (proactive, i.e. structural capital, and reactive, i.e. relational capital) ensure the farm's survival.
Ultrasound irradiation of grapes: effect on the anthocyanin profile of “Isabella” juice
Authors: Comarella Carine Glaucia , Treptow Taísa Ceratti , de Oliveira Álisson Santos , Rodrigues Eliseu , Sautter Claudia Kaehler , Bochi Vivian , Penna Neidi Garcia 
Published: September 2021

PurposeThe aim of this study was to evaluate the effect of ultrasound (US) treatment on the postharvest of “Isabella” grapes and the consistency of the obtained results regarding the composition of anthocyanins in grape juice over three successive harvest years using a combination of analytical techniques.Design/methodology/approachJuices produced from “Isabella” grapes sonicated for different durations (3, 5, 7 and 10 min) were analysed. The grapes were harvested and sonicated in 2013, 2014 and 2015, and each treated sample was stored for 1, 3 and 5 days in order to verify the time necessary for the development of the US response. The juices were analysed through physicochemical analysis (total monomeric anthocyanins). The anthocyanin profiles were quantified and identified using high performance liquid chromatography coupled to photodiode array and mass spectrometry detectors (HPLC-PDA-MSn).FindingsThe results demonstrated the potential of US in improving the quality of grape juice. In all three harvests, it was observed that the treatments were effective in increasing the concentration of anthocyanins. For the 2013 harvest, the application of US for 5 min led to a 103% increase in juice pigments. However, the US response profile varied among the three harvests, indicating that the US effect was influenced by the ripening conditions of the fruit. In total, 33 anthocyanins were identified in the grape juice. For the first time, peonidin-3-p-coumaroyl glucoside-5-glucoside was identified in “Isabella” juice.Originality/valueThe results of this study validated US treatment as a simple and effective physical method that can be used as an alternative technology for improving the general quality of products such as juice by increasing the pigment concentrations that are linked to the colour and antioxidant potential of drinks. Moreover, the results demonstrate that US treatment may be less effective in the case of a sample with distinct phenolic maturation.
Deep and machine learning approaches for forecasting the residual value of heavy construction equipment: a management decision support model
Authors: Alshboul Odey , Shehadeh Ali , Al-Kasasbeh Maha , Al Mamlook Rabia Emhamed , Halalsheh Neda , Alkasasbeh Muna 
Published: September 2021

PurposeHeavy equipment residual value forecasting is dynamic as it relies on the age, type, brand and model of the equipment, ranking condition, place of sale, operating hours and other macroeconomic gauges. The main objective of this study is to predict the residual value of the main types of heavy construction equipment. The residual value of heavy construction equipment is predicted via deep learning (DL) and machine learning (ML) approaches.Design/methodology/approachBased on deep and machine learning regression network integrated with data mining, random forest (RF), decision tree (DT), deep neural network (DNN) and linear regression (LR)-based modeling decision support models are developed. This research aims to forecast the residual value for different types of heavy construction equipment. A comprehensive investigation of publicly accessible auction data related to various types and categories of construction equipment was utilized to generate the model's training and testing datasets. In total, four performance metrics (i.e. the mean absolute error (MAE), mean squared error (MSE), the mean absolute percentage error (MAPE) and coefficient of determination (R2)) were used to measure and compare the developed algorithms' accuracy.FindingsThe developed algorithm's efficiency has been demonstrated by comparing the deep and machine learning predictions with real residual value. The accuracy of the results obtained by different proposed modeling techniques was comparable based on the performance evaluation metrics. DT shows the highest accuracy of 0.9111 versus RF with an accuracy of 0.8123, followed by DNN with an accuracy of 0.7755 and the linear regression with an accuracy of 0.5967.Originality/valueThe proposed novel model is designed as a supportive tool for construction project managers for equipment selling, purchasing, overhauling, repairing, disposing and replacing decisions.
Entrepreneurial learning among practices: aesthetic and sensible knowledge in the life trajectory of entrepreneurs
Authors: Vogt Sérgio , Bulgacov Yara Lucia Mazziotti , Elias Sara R.S.T.A. 
Published: September 2021

PurposeUsing the concept of knowing-in-practice (KinP), and drawing from current understandings of aesthetic and sensible knowledge within organization studies, this study explores how the entrepreneurial learning (EL) process unfolds over time, throughout the lives of startup founders, well before entrepreneurial action takes place.Design/methodology/approachUsing a life histories approach, 25 interviews were conducted with the founders of 18 startups. Additional 14 semi-structured interviews were conducted with other startups' founders, focusing on thematic stories. Data were analyzed using abduction and narrative analysis.FindingsAlthough each entrepreneur's history is unique, the authors show that entrepreneurs' lives are generally a texture of practices, resulting in aesthetic–sensible knowledge that is developed as entrepreneurs participate in various social practices. This includes KinP episodes where perceptive-sensorial faculties are fundamental for entrepreneurs to perceive the world, recognize/create opportunities and launch a business.Research limitations/implicationsThe historical approach did not allow the authors to witness firsthand the practices and KinP episodes that participants verbalized. Regardless, the results show that aesthetic and sensible knowledge provide a fruitful lens for investigating EL while highlighting the indissoluble relationship between practice and learning.Originality/valueAlthough the senses have been recognized as fundamental for learning in organizations, entrepreneurship scholars have yet to explore the aesthetic and sensory processes involved in EL. The primary contribution of this paper is to develop a new understanding of the situated nature of EL as a process that starts well before entrepreneurial action occurs, stemming from entrepreneurs' experiencing of certain practices and the aesthetic and sensible knowledge they build over their life trajectory.
Determinants of network effectiveness: evidence from a benchmarking consortium
Authors: Dimitrijevska-Markoski Tamara , Nukpezah Julius A. 
Published: September 2021

PurposeThe study investigates the perceived network effectiveness of the Florida Benchmarking Consortium (FBC). It also examines the impact of network coordination, longevity of membership and environmental support on perceived network effectiveness.Design/methodology/approachIt uses a cross-sectional, nonexperimental research design and an ordinary least squares (OLS) multiple regression that employed data from an online survey administered to local government employees from FBC member governments.FindingsThe results show that the FBC moderately meets the expectation of network participants to serve as a platform for exchanging experiences and increasing performance knowledge. However, the network's effectiveness is not dependent on the frequency of interactions among network members, but depends on their interactions with focal egos such as the FBC Executive Director. Contrary to expectations, the longevity of involvement with the network is not associated with perceived network effectiveness. Moreover, network members who perceive the environment as supportive are more likely to positively evaluate the network's effectiveness.Practical implicationsBecause perceived network effectiveness may be improved if the members interact with the right “focal” players, managers should proactively pursue closer connections with knowledgeable network members using additional and more frequent communication. Also, research efforts at identifying the characteristics of the right focal players that contribute to network effectiveness should be pursued.Originality/valueWhile there is extensive attention to the participation of public organizations in networks, less research focuses on network effectiveness examined at the network level. This study addresses this research gap by investigating if the FBC is effective in meeting its network goals.
Impact of nation brand experience on nation brand loyalty, and positive WOM in a changing environment: the role of nation brand love
Authors: Yadav Rohit , Paul Justin , Mittal Amit 
Published: September 2021

PurposeNation brand building is a complex task as it involves multiple stakeholders. In the context of globalisation, a strong nation brand has important implications not only for attracting foreign businesses and tourists but also for the brands originating from that country. This study examines the role of nation brand experience in enhancing a nation's global reputation.Design/methodology/approachThe relationships between nation brand experience, nation brand love, nation brand loyalty and positive word of mouth (WOM) were examined by analysing 334 survey responses collected from foreign tourists in India. Structural equation analysis was carried out as part of the analysis.FindingsThe results confirmed that international visitors' sensory and affective nation brand experiences significantly enhance brand love for a nation, leading to national brand loyalty and positive WOM among them. The findings are expected to help practitioners understand consumer buying behavior related to nation brand and develop innovative strategies for improving brand values.Originality/valueUnderstanding a developing nation brand experience and how it converts to brand loyalty through the mediation effect of nation brand love from the lens of foreign tourists is the novelty of this study.
The climate-related information in the changing EU directive on non-financial reporting and disclosure: first evidence by Italian large companies
Authors: Lombardi Rosa , Schimperna Federico , Paoloni Paola , Galeotti Michele 
Published: September 2021

PurposeThis paper investigates the quality and quantity of climate-related information disclosed by public interest entities (PIEs) in the non-financial disclosure scenario. Thus, this paper aims at drafting the state of the art on what is climate-related information disclosed by PIEs in the changing EU non-financial regulation assuming the Italian scenario and the industrial industry as significant in achieving the research aims.Design/methodology/approachThe authors used the content analysis composing the sample of 34 large listed companies (i.e. PIEs) belonging to the industrial sector in Italy. The authors choose the Italian PIEs’ sustainability reports published in 2019 after the adoption of the EU directive and its guidelines. The authors adopted a coding and classification system, investigating the climate-related information through a systematic, objective and reliable method. The authors defined 99 indicators along the structure of the European Commission's guidelines and the indicator of disclosure, climate-related information indicator (CII). The framework mainly derives from the corporate disclosure theory and legitimacy and stakeholders' theories.FindingsThe results show the lack of several required climate-related information or a not in-depth presentation of information. Thus, findings are interesting in emphasizing that the current climate-related disclosure is at an early stage in complying with the European Commission's guidelines. Additionally, the findings enlarge previous theories on corporate disclosure, proposing new insights in the light of the recent interest in climate-related information.Research limitations/implicationsEvidence contributes to extending the existing literature, drafting the state of the art of what is the quality and the quantity of the climate-related information in the corporate disclosure in the European scenario.Practical implicationsThis paper is directed to propose the state of the climate-related disclosure following the EU directive guidelines, proposing some evidence to support the path toward the integrations of information by several parts (e.g. companies, regulators and so on).Originality/valueThe paper is a useful baseline for academics, practitioners, policy-makers and regulators in understanding actions to adopt in the climate-related disclosure and what could be the impact of forthcoming regulations in the field, also having some metrics (e.g. score value of disclosure, the indicator of climate-related information disclosure – CII).
The social media marketing strategies and its implementation in promoting handicrafts products: a study with special reference to Eastern India
Authors: Guha Sriparna , Mandal Anirban , Kujur Fedric 
Published: September 2021

PurposeFirst, this study aims to focus on the promotional part of the Indian handicraft products through various social media platforms such as Facebook, Twitter, Instagram and YouTube. Second, the study measures the effectiveness of social media marketing activities (SMMA) relating to handicraft products on brand awareness, brand image and brand equity. Third, this study also measures the impact of brand awareness and brand image on brand equity and consumers’ purchase intention and further brand equity on consumers’ purchase intention of handicraft products.Design/methodology/approachThis study used an offline questionnaire to conduct empirical research and collected and analyzed data of 609 samples by using the structural equation modeling approach.FindingsThe findings of this study showed that SMMA relating to handicraft products had a very strong impact on creating both brand awareness and brand image in the social media environment. Additionally, this study also exhibited a positive and significant impact of brand awareness and brand image on brand equity and consumers’ purchase intention and further brand equity on consumers’ purchase intention of handicraft products in the social media environment.Practical implicationsThe outcome of this research will definitely motivate the handicraft industry to have a strong social media presence on various platforms for promoting their products across India and outside. Further, the promotional activities in various social media platforms will help in creating awareness about the handicraft products and give brand recognition among other industrial competitive brands which will consequently lead to an increase in the demand for these products.Originality/valueThe novelty of this study is that it has made an initial attempt to study the marketability of handicraft products using various social media platforms and also has measured the probable impact of SMMA relating to handicraft products on brand awareness and brand image and their impact on brand equity and purchase intention.