bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anatomical and neurophysiological data on primary visual cortex suffice for reproducing brain-like robust multiplexing of visual function
Authors: Chen Guozhang , Scherr Franz , Maass Wolfgang 
Published: December 2021

AbstractNeural networks of the brain that process visual information have structural properties that differ significantly from those of neural networks which are commonly used for visual processing in AI, such as Convolutional Neural Networks (CNNs). But it has remained unknown how these structural differences are related to network function. We analyze visual processing capabilities of a large-scale model for area V1 that arguably provides the most comprehensive accumulation of anatomical and neurophysiological data that is currently available. Its network structure turns out to induce a number of characteristic visual processing capabilities of the brain, in particular the capability to multiplex different visual processing tasks, also on temporally dispersed visual information, with remarkable robustness to noise. This V1 model also exhibits a number of characteristic neural coding properties of the brain, which provide explanations for its superior noise robustness. Since visual processing in the brain is substantially more energy-efficient than implementations of CNNs in common computer hardware, such brain-like neural network models are likely to have also an impact on technology: As blueprints for visual processing in more energy-efficient neuromorphic hardware.TeaserA new generation of neural network models based on neurophysiological data can achieve robust multiplexing capabilities.
Microneedle-mediated intratumoral delivery of anti-CTLA-4 promotes cDC1-dependent eradication of oral squamous cell carcinoma with limited irAEs
Authors: Gilardi Mara , Saddawi-Konefka Robert , Wu Victoria H. , Lopez-Ramirez Miguel Angel , Wang Zhiyong , Soto Fernando , Steffen Dana J. , Proietto Marco , Mikulski Zbigniew , Miki Haruka , Sharabi Andrew , Kupor Daniel , Rueda Ricardo , Hollern Daniel P. , Wang Joseph , Gutkind J. Silvio 
Published: December 2021

AbstractHead and neck squamous cell carcinoma (HNSCC) ranks 6th in cancer incidence worldwide and has a five-year survival rate of only 63%. Immunotherapies – principally immune checkpoint inhibitors (ICI), such as anti-PD-1 and anti-CTLA-4 antibodies that restore endogenous antitumor T-cell immunity – offer the greatest promise for HNSCC treatment. Anti-PD-1 has been recently approved for first line treatment of recurrent and metastatic HNSCC; however less than 20% of patients show clinical benefit and durable responses. In addition, the clinical application of ICI has been limited by immune-related adverse events (irAEs) consequent to compromised peripheral immune tolerance. Although irAEs are often reversible, they can become severe, prompting premature therapy termination or becoming life-threatening. To address the irAEs inherent to systemic ICI therapy, we developed a novel, local delivery strategy based upon an array of soluble microneedles (MN). Using our recently reported syngeneic, tobacco-signature murine HNSCC model, we found that both systemic and local-MN anti-CTLA-4 therapy lead to >90% tumor response, which is dependent on CD8 T cells and conventional dendritic cell type 1 (cDC1). However, local-MN delivery limited the distribution of anti-CTLA-4 antibody from areas distal to draining lymphatic basins. Employing Foxp3-GFPDTR transgenic mice to interrogate irAEs in vivo, we found that local-MN delivery of anti-CTLA-4 protects animals from irAEs observed with systemic therapy. Taken together, our findings support the exploration of MN-intratumoral ICI delivery as a viable strategy for HNSCC treatment with reduced irAEs, and the opportunity to target cDC1s as part of multimodal treatment options to boost ICI therapy.
Inhibitory neurosteroid reverses the dendritic spine disorder caused by gain-of-function GABAAR epilepsy variants
Authors: Hannan Saad , Au Kamei , Smart Trevor G 
Published: December 2021

AbstractGABAA receptors (GABAARs) are key orchestrators of neuronal activity and several GABAAR variants have been linked to genetic neurodevelopmental disorders (NDDs) and epilepsies. Here, we report two variants (Met263Lys, Leu267Ile) in the predominant GABAAR α1 subunit gene (GABRA1) that increase apparent receptor affinity for GABA and confer spontaneous receptor activity. These gain-of-function features are unusual because GABAAR variants are traditionally thought to cause seizures by reducing inhibitory neurotransmission. Both Met263Lys and Leu267Ile increased tonic and spontaneous GABAergic conductances in neurons revealed by competitive inhibition and channel block of GABAARs. Significantly, α1-subunit variant expression in hippocampal neurons also reduced dendritic spine density. Our results indicate that elevated GABAergic signalling can precipitate genetic epilepsies and NDDs. Furthermore, the mechanistic basis may involve the de-compartmentalisation of excitatory inputs due to the removal of dendritic spines. This aberrant structural plasticity can be reversed by the naturally-occurring, therapeutically-tractable, inhibitory neurosteroid, pregnenolone sulphate.
An efficient decision support system for selecting very light business jet using CRITIC-TOPSIS method
Authors: Dhara Aishwarya , Kaur Gurpreet , Kishan Pon Maa , Majumder Arunava , Yadav Rakesh 
Published: December 2021

Purpose
This paper aims to assure the selection of the most suitable very light business aircraft which is preferred by the passengers based on effectiveness and aesthetic comfort. The proposed approach to determine the light business jet aircraft would provide long-range, less travel time, cozy seating arrangements, on-board lavatory facility, other aesthetic ambiance (audio systems, light systems and temperature-noise control) and appliances at reasonable flight cost.

Design/methodology/approach
The selection of a light business jet is obtained through multi-criteria decision-making based on the speed limit ranges from 0.57 to 0.70 Mach number and the distance traveled up to 3,000 km with the best aesthetic comfort level. To validate the approach, case studies of five aircrafts such as Honda Jet HA 420, Cessna Citation jet M2, Embraer Phenom 100, Eclipse 550 and Cessna Citation Mustang are performed. To obtain the best suitable business jet, criteria importance through intercriteria correlation (CRITIC) and technique for order performance by similarity to ideal solution (TOPSIS) is used to determine the rankings of listed aircraft.

Findings
The study concludes that the Cessna Citation jet M2 is chosen as the best Very Light Jet (VLJ) on the basis of speed, range, weight, cost, aesthetic and comfort. Based on the sensitivity, mean absolute percentage error (MAPE) and symmetric mean absolute percentage error analysis (sMAPE), the most and least sensitive criteria for a business jet came out to be cost and speed, respectively.

Originality/value
A real case study for several parameters of five different jets such as Honda Jet HA 420, Cessna Citation jet M2, Embraer Phenom 100, Eclipse 550 and Cessna Citation Mustang are shown in this paper. Based on the case study numerical values are assigned with speed, range, weight, cost, aesthetic and comfort which are applied with CRITIC and TOPSIS to obtain the most suitable business jet among the five mentioned jets which are rarely found in the literature.
Decision model with quantification of buyer-supplier trust in advanced technology enterprises
Authors: Collier Zachary A. , Guin Ujjwal , Sarkis Joseph , Lambert James H. 
Published: December 2021

PurposeIn the buyer-supplier relationship of a high-technology enterprise, the concepts of trust and risk are closely intertwined. Entering into a buyer-supplier relationship inherently involves a degree of risk, since there is always an opportunity for one of the parties to act opportunistically. Purchasing and supply managers play an important role in reducing the firm's risk profile, and must make decisions about whether or not to enter into, or remain in, a relationship with a supplier based on a subjective assessment of trust and risk.Design/methodology/approachIn this paper, the authors seek to explore how trust in the buyer-supplier relationship can be quantitatively modeled in the presence of risk. The authors develop a model of trust between a buyer and supplier as a risk-based decision, in which a buyer decides to place trust in a supplier, who may either act cooperatively or opportunistically. The authors use a case study of intellectual property (IP) piracy in the electronics industry to illustrate the conceptual discussion and model development.FindingsThe authors produce a generalizable model that can be used to aid in decision-making and risk analysis for potential supply-chain partnerships, and is both a theoretical and practical innovation. However, the model can benefit a variety of high-technology enterprises.Originality/valueWhile the topic of trust is widely discussed, few studies have attempted to derive a quantitative model to support trust-based decision making. This paper advanced the field of supply chain management by developing a model which relates risk and trust in the buyer-supplier relationship.
Value management implementation barriers for sustainable building: a bibliometric analysis and partial least square structural equation modeling
Authors: Kineber Ahmed Farouk , Othman Idris , Oke Ayodeji Emmanuel , Chileshe Nicholas , Zayed Tarek 
Published: December 2021

Purpose
The purpose of this paper is to examine the relationship between overcoming the value management (VM) implementation barriers and VM implementation in the Egyptian building sector.

Design/methodology/approach
A critical review of the literature on VM was used to through bibliometric analysis has been conducted to highlight the studies’ gap and establish the VM barriers. These obstacles were then contextually transformed via a semi-structured interview and a pilot study, and subsequently organized in the form of a theoretical model. The primary data was collected from 335 building stakeholders in Egypt through the administration of questionnaire surveys. Consequently, structural equation models of partial least squares were applied to statistically assess the final model of VM barriers.

Findings
The bibliometric analysis shows that there is an inadequate study on VM implementation barriers in the Egyptian construction industry and insufficient studies on implementing VM in developing countries. Results obtained from the proposed model showed that overcoming the VM barriers has a major connection with successful VM implementation. This is indicated with the value of ß = 0.743, which is necessary when the firm is overcoming 1 unit of VM barriers.

Originality/value
This study fills the knowledge gap by identifying and emphasizing the critical obstacles to VM implementation.
ONE STOP KITCHEN: managing a multi-brand cloud kitchen
Authors: Sharma Aasha Jayant , Dey Debopriyo 
Published: December 2021

Subject area
Marketing; Business Expansion Strategy

Case synopsis
Rahul Hazarika, the owner of One Stop Kitchen (OSK), was convinced that expansion of his cloud kitchen had to be aligned at various fronts to compete. He was juggling with thoughts of expanding from B2C to B2B model, whether to expand in the same city or other cities or to introduce new variants in existing B2C so as to use and leverage the existing customer base and network. The competition was growing ablaze, and most of the orders were procured from the third-party aggregators, leaving little chance for OSK to connect to its customer base directly. The growth potential in this upcoming sector was undeniable, and Hazarika was continually trying to bring in relevant business practices to maintain the momentum. The case deals growing cloud kitchen business problems and covers business concepts such as business expansion strategy, product profiling and marketing strategies.

Learning objectives
Students will understand strategies for a Online startup Business in the Cloud Kitchen category. The concept of Product Profiling is also dealt with in the case.

Complexity academic level
Suitable for PG- and Executive-level courses.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 8: Marketing.
Boundary spanner closeness to partner firm as relational governance in turbulent versus stable environments
Authors: Cai Shaohan , Wang Xiaoyan , Ma Yongchao , Zhou Xinyue , Yang Zhilin 
Published: December 2021

PurposeThis study aims to explore the overall relationship between a boundary spanner and a partner firm, i.e. boundary spanner closeness to partner firm. Drawing on consumer-service provider relationship literature and the tripartite model of affect-behavior-cognition, the authors identify three key dimensions of such closeness, namely, boundary spanners’ relational ties, customer-specific capabilities and accommodative behaviors, and examine their effects on exchange outcomes in turbulent versus stable environments.Design/methodology/approachThe paper examines the effects of three dimensions of boundary spanner closeness on various exchange outcomes (i.e. retailers’ cooperation, satisfaction and willingness for investment) using two industries as exemplars, characterized by distinct levels of environmental turbulence – the retailing networks of a major cell phone company and a petroleum company in China.FindingsThe results indicate that the three dimensions individually and jointly affect exchange outcomes and the interplay of customer-specific capabilities and relational ties affect exchange outcomes differently across industry turbulence.Originality/valueThe existing literature lacks a comprehensive understanding of the function of boundary spanners, which serve as a key relational interorganizational governance component. By identifying three key dimensions of boundary spanner closeness and examining their effectiveness in promoting exchange outcomes, this study advances the understanding of the role of boundary spanners in interorganizational governance.
Influence of the length of the spacer group on the performance of the sulfate-based Gemini surfactants
Authors: Yu Wang , Chen Gang , Yang Haiyan , Li Sisi 
Published: December 2021

PurposeA series of sulfate-based Gemini anionic surfactants were synthesized via etherification, ring opening and sulfation reactions using epichlorohydrin, fatty alcohol, ethylene glycol and chlorosulfonic acid as the main raw materials. Orthogonal experiments for 1,8-bisalkoxymethylene-3,6-dioxin-1,8-octane disulfate were performed on the sulfation reaction to determine the optimal reaction conditions.Design/methodology/approachA series of sulfate-based Gemini anionic surfactants were synthesized via etherification, ring opening and sulfation reactions using epichlorohydrin, fatty alcohol, ethylene glycol and chlorosulfonic acid as the main raw materials. Orthogonal experiments for 1,8-bisalkoxymethylene-3,6-dioxin-1,8-octane disulfate were performed on the sulfation reaction to determine the optimal reaction conditions. The structures of the intermediate and final products were characterized by FT-IR (Fourier transform infrared spectroscopy analysis),1H-NMR (proton nuclear magnetic resonance spectroscopy) methods. The thermal performance of surfactants was analyzed using thermogravimetric analysis (TGA). The thermogravimetric results showed that the sulfate-based Gemini surfactants had good heat resistance (the thermal decomposition temperature of which was in the range of 140∼170?). The Krafft point, surface tension, foaming, Hydrophile–Lipophile Balance Number (HLB), emulsifying, wetting, and lime-soap dispersing performance were measured by visual observation, hanging drop method, aqueous surfactant solution method and Borghetti–Bergman method, respectively. The results have shown that all the sulfate-based Gemini surfactants had good water solubility and lime-soap dispersing ability. When spacer group was -(CH2)2-, with the increase of the carbon chain length from C12 to C14, the micellar concentration critical micelle concentration and surface tension (CMC) gradually increased from 8.25 × 10–4 mol/L to 8.75 × 10–4 mol/L and 27.5 mN/m to 30.9 mN/m, respectively. Also, the sulfate-based Gemini surfactants with the different length of the spacer group had a different effect on their performance on foaming properties and foam properties, HLB and emulsifying ability and wetting ability.FindingsIn view of the important role of the spacer group and the general use of anionic surfactants in oil fields, this article considers the preparation of a series of sulfate-based Gemini surfactants by changing the spacer group and the chain length of the hydrophobic group and evaluating their surface activity, and finally its Kraffi, on the foam properties, HLB value, emulsifying performance, lime soap dispersing ability etc.Originality/valueSulfate-based Gemini surfactants have broad application prospects in the fields of oil and gas exploitation, environmental protection, chemistry and daily chemical industry and so on.
SDN-based dynamic resource management and scheduling for cognitive industrial IoT
Authors: Chandramohan S. , Senthilkumaran M. 
Published: December 2021

PurposeIn recent years, it is imperative to establish the structure of manufacturing industry in the context of smart factory. Due to rising demand for exchange of information with various devices, and huge number of sensor nodes, the industrial wireless networks (IWNs) face network congestion and inefficient task scheduling. For this purpose, software-defined network (SDN) is the emerging technology for IWNs, which is integrated into cognitive industrial Internet of things for dynamic task scheduling in the context of industry 4.0.Design/methodology/approachIn this paper, the authors present SDN based dynamic resource management and scheduling (DRMS) for effective devising of the resource utilization, scheduling, and hence successful transmission in a congested medium. Moreover, the earliest deadline first (EDF) algorithm is introduced in authors’ proposed work for the following criteria’s to reduce the congestion in the network and to optimize the packet loss.FindingsThe result shows that the proposed work improves the success ratio versus resource usage probability and number of nodes versus successful joint ratio. At last, the proposed method outperforms the existing myopic algorithms in terms of query response time, energy consumption and success ratio (packet delivery) versus number of increasing nodes, respectively.Originality/valueThe authors proposed a priority based scheduling between the devices and it is done by the EDF approach. Therefore, the proposed work reduces the network delay time and minimizes the overall energy efficiency.
Determinants of continuance intention to use mobile self-scanning applications in retail
Authors: Ferreira Andreia , Silva Graça Miranda , Dias Álvaro Lopes 
Published: December 2021

PurposeRetailers are increasingly using self-service technologies to improve customer experience and reduce costs. The purpose of this study is to identify factors that could explain the level of continuance intention of mobile self-scanning applications in retail. Based on previous theoretical streams, the present study integrates technology readiness (TR) and service quality into the technology acceptance model.Design/methodology/approachUsing data collected through an online survey of 217 users of a mobile self-scanning application of a large supermarket chain operating in Portugal, the study uses partial least squares structural equation modeling to test the proposed hypotheses.FindingsThe results indicate that the continuance usage of the self-scanning apps is directly driven by users' satisfaction and perceived usefulness. Findings also show that TR has a positive and significant impact on ease of use and perceived usefulness. Ease of use has a positive impact on users' satisfaction and perceived usefulness but has no direct effect on the continuance intention to use the application. Perceived quality has a positive direct effect on satisfaction and a positive indirect effect on continuance intention. Finally, need for interaction has a negative effect on TR.Originality/valueThis work contributes to a better understanding of the emerging market for mobile self-scanning applications in retail applications, particularly relevant in a digital transition context.
Knowledge management and modern digital transformation of the property management industry in China
Authors: Shen Qiang , Hua Yukun , Huang Yuxing , Ebstein Richard , Yu Xiaofen , Wu Zhihua 
Published: December 2021

Purpose
In the current urban and increasingly digital/information era, the service of property management towards residents is of key importance to the well-being of society, which is especially well reflected in its role during the COVID-19 pandemic in China. However, professional knowledge management (KM) has yet to be applied to the daily operation of the property management companies in this sector. The authors posit that introduction of KM concepts to property management at this time would significantly help facilitate the transition of traditional property management towards a higher and more effective value-added service model. From the perspective of KM, this study aims to offer both a theoretical and practical analysis of such a novel business model for companies in the property management industry.

Design/methodology/approach
Given the current status quo of property management, the authors integrate theories from both KM and information-digital management to qualitatively analyse the challenges and difficulties companies are facing and importantly offer practical suggestions for the centralization, digital-information platform establishment and service innovation.

Findings
Following the analysis of KM and digital-information modeling, the authors identify three main challenges facing property management services offered in the current digital society including market fragmentation, lack of digital platforms and the absence of a unitary service model. Therefore, the authors propose strategic solutions to resolve these aforementioned problems. Specifically, the authors suggest centralizing property management service, the establishment of a KM-based digital platform and the upgrading of the service model, towards offering a new impetus for the development of companies in property management.

Research limitations/implications
The authors offer essential guidelines derived from knowledge and information management and explore their implications both from a theoretical, as well as pragmatic/practical perspective that overall would support property management companies’ crucial transition from the traditional service model to a more digital-based foundation, and hence, provide a higher value-added service for the residents.

Originality/value
The current study is one of the first attempts to analyse property management services from the perspective of KM with digital transformation enabling its transition to an information-based internet of things infrastructure. The study not only offers practical guidance to the business of property management but importantly, also contributes to the theoretical underpinnings of KM especially as related to secure serviceability, well-being, security and efficiency of the residential environment by integrating people, place, process and technology.