bluuebunny/crossref_metadata_2025_split huggingface dataset:
Over-expression Screen of Interferon-Stimulated Genes Identifies RARRES3 as a Restrictor ofToxoplasma gondiiInfection
Authors: Rinkenberger Nicholas , Abrams Michael E. , Matta Sumit K. , Schoggins John W. , Alto Neal M. , Sibley David 
Published: September 2021

AbstractToxoplasma gondiiis an important human pathogen infecting an estimated 1 in 3 people worldwide. The cytokine interferon gamma (IFNγ) is induced during infection and is critical for restrictingT. gondiigrowth in human cells. Growth restriction is presumed to be due to the induction interferon stimulated genes (ISGs) that are upregulated to protect the host from infection. Although there are hundreds of ISGs induced by IFNγ, their individual roles in restricting parasite growth in human cells remain somewhat elusive. To address this deficiency, we screened a library of 414 IFNγ induced ISGs to identify factors that impactT. gondiiinfection in human cells. In addition to IRF1, which likely acts through induction of numerous downstream genes, we identified RARRES3 as a single factor that restrictsT. gondiiinfection by inducing premature egress of the parasite in multiple human cell lines. Overall, while we successfully identified a novel IFNγ induced factor restrictingT. gondiiinfection, the limited number of ISGs capable of restrictingT. gondiiinfection when individually expressed suggests that IFNγ mediated immunity toT. gondiiinfection is a complex, multifactorial process.
Hippo pathway and Bonus control developmental cell fate decisions in the Drosophila eye
Authors: Zhao Heya , Moberg Kenneth H. , Veraksa Alexey 
Published: September 2021

SummaryThe canonical function of the Hippo signaling pathway is regulation of organ growth. How this pathway controls cell fate determination is less well understood. Here, we uncover a function of the Hippo pathway in developmental cell fate decisions in the Drosophila eye-antennal disc exerted through the interaction of Yorkie (Yki) with the transcriptional regulator Bonus (Bon), an ortholog of mammalian Transcriptional Intermediary Factor 1/tripartite motif (TIF1/TRIM) family proteins. Instead of controlling tissue growth, Yki and Bon promote epidermal and antennal fates at the expense of the eye fate. Proteomic, transcriptomic, and genetic analyses reveal that Yki and Bon control these cell fate decisions by recruiting transcriptional and post-transcriptional co-regulators, and by activating epidermal differentiation genes and repressing Notch target genes. Our work expands the range of functions and regulatory mechanisms under Hippo pathway control.
Neurons in the dorsomedial hypothalamus promote, prolong, and deepen torpor in the mouse
Authors: Ambler Michael , Hitrec Timna , Wilson Andrew , Cerri Matteo , Pickering Anthony 
Published: September 2021

AbstractTorpor is a naturally occurring, hypometabolic, hypothermic state engaged by a wide range of animals in response to imbalance between the supply and demand for nutrients. Recent work has identified some of the key neuronal populations involved in daily torpor induction in mice, in particular projections from the preoptic area of the hypothalamus (POA) to the dorsomedial hypothalamus (DMH). The DMH plays a role in thermoregulation, control of energy expenditure, and circadian rhythms, making it well positioned to contribute to the expression of torpor. We used activity dependent genetic TRAPing techniques to target DMH neurons that were active during natural torpor bouts in female mice. Chemogenetic reactivation of torpor-TRAPed DMH neurons in calorie-restricted mice promoted torpor, resulting in longer and deeper torpor bouts. Chemogenetic inhibition of torpor-TRAPed DMH neurons did not block torpor entry, suggesting a modulatory role for the DMH in the control of torpor. This work adds to the evidence that the POA and the DMH form part of a circuit within the mouse hypothalamus that controls entry into daily torpor.SignificanceDaily heterotherms such as mice employ torpor to cope with environments in which the supply of metabolic fuel is not sufficient for the maintenance of normothermia. Daily torpor involves reductions in body temperature, as well as active suppression of heart rate and metabolism. How the central nervous system controls this profound deviation from normal homeostasis is not known, but a projection from the preoptic area to the dorsomedial hypothalamus has recently been implicated. We demonstrate that the dorsomedial hypothalamus contains neurons that are active during torpor. Activity in these neurons promotes torpor entry and maintenance, but their activation alone does not appear to be sufficient for torpor entry.
Rest/Stress Myocardial Perfusion Imaging by Positron Emission Tomography with 18F-Flurpiridaz: A Feasibility Study in Mice
Authors: Bengs Susan , Warnock Geoffrey I. , Portmann Angela , Mikail Nidaa , Rossi Alexia , Ahmed Hazem , Etter Dominik , Gisler Livio , Jie Caitlin , Meisel Alexander , Keller Claudia , Schibli Roger , Mu Linjing , Buechel Ronny R. , Kaufmann Philipp A. , Ametamey Simon M. , Gebhard Catherine , Haider Ahmed 
Published: September 2021

AbstractBackgroundMyocardial perfusion imaging by positron emission tomography (PET-MPI) is the current gold standard for quantification of myocardial blood flow. 18F-flurpiridaz was recently introduced as a valid alternative to currently used PET-MPI probes. Nonetheless, optimum scan duration and time interval for image analysis are currently unknown. Further, it is unclear whether rest/stress PET-MPI with 18F-flurpiridaz is feasible in mice.MethodsRest/stress PET-MPI was performed with 18F-flurpiridaz (0.6-3.0 MBq) in 29 mice aged 7-8 months. Regadenoson (0.1 μg/g) was used for induction of vasodilator stress. Kinetic modeling was performed using a metabolite-corrected arterial input function. Image-derived myocardial 18F-flurpiridaz uptake was assessed for different time intervals by placing a volume of interest in the left ventricular myocardium.ResultsTracer kinetics were best described by a two-tissue compartment model. K1 ranged from 6.7-20.0 mL/cm3/min, while myocardial volumes of distribution (VT) were between 34.6 and 83.6 mL/cm3. Of note, myocardial 18F-flurpiridaz uptake (%ID/g) was significantly correlated with K1 at rest and following pharmacological stress testing for all time intervals assessed. However, while Spearman’s coefficients (rs) ranged between 0.478 and 0.672, R2 values were generally low. In contrast, an excellent correlation of myocardial 18F-flurpiridaz uptake with VT was obtained, particularly when employing the averaged myocardial uptake from 20-40 min post tracer injection (R2 ≥0.98). Notably, K1 and VT were similarly sensitive to pharmacological stress induction. Further, mean stress-to-rest ratios of K1, VT, and %ID/g 18F-flurpiridaz were virtually identical, suggesting that %ID/g 18F-flurpiridaz can be used to estimate CFR in mice.ConclusionOur findings suggest that a simplified assessment of relative myocardial perfusion and coronary flow reserve (CFR), based on image-derived tracer uptake, is feasible with 18F-flurpiridaz in mice, enabling high-throughput mechanistic CFR studies in rodents.
Smoothness discriminates physical from motor imagery practice of arm reaching movements
Authors: Ruffino Célia , Rannaud Monany Dylan , Papaxanthis Charalambos , Hilt Pauline M. , Gaveau Jérémie , Lebon Florent 
Published: September 2021

AbstractPhysical practice (PP) and motor imagery practice (MP) lead to the execution of fast and accurate arm movements. However, there is currently no information about the influence of MP on movement smoothness, nor about which performance parameters best discriminate these practices. In the current study, we assessed motor performances with an arm pointing task with constrained precision before and after PP (n= 15), MP (n= 15), or no practice (n= 15). We analyzed gains between Pre- and Post-Test for five performance parameters: movement duration, mean and maximal velocities, total displacements, and the number of velocity peaks characterizing movement smoothness. The results showed an improvement of performance after PP and MP for all parameters, except for total displacements. The gains for movement duration, and mean and maximal velocities were statistically higher after PP and MP than after no practice, and comparable between practices. However, motor gains for the number of velocity peaks were higher after PP than MP, suggesting that movements were smoother after PP than after MP. A discriminant analysis also identified the number of velocity peaks as the most relevant parameter that differentiated PP from MP. The current results provide evidence that PP and MP specifically modulate movement smoothness during arm reaching tasks. This difference may rely on online corrections through sensory feedback integration, available during PP but not during MP.
BIM-based mixed-reality application for bridge inspection and maintenance
Authors: Nguyen Duy-Cuong , Nguyen The-Quan , Jin Ruoyu , Jeon Chi-Ho , Shim Chang-Su 
Published: September 2021

Purpose
The purpose of this study is to develop a building information modelling (BIM)-based mixed reality (MR) application to enhance and facilitate the process of managing bridge inspection and maintenance works remotely from office. It aims to address the ineffective decision-making process on maintenance tasks from the conventional method which relies on documents and 2D drawings on visual inspection. This study targets two key issues: creating a BIM-based model for bridge inspection and maintenance; and developing this model in a MR platform based on Microsoft Hololens.

Design/methodology/approach
Literature review is conducted to determine the limitation of MR technology in the construction industry and identify the gaps of integration of BIM and MR for bridge inspection works. A new framework for a greater adoption of integrated BIM and Hololens is proposed. It consists of a bridge information model for inspection and a newly-developed Hololens application named “HoloBridge”. This application contains the functional modules that allow users to check and update the progress of inspection and maintenance. The application has been implemented for an existing bridge in South Korea as the case study.

Findings
The results from pilot implementation show that the inspection information management can be enhanced because the inspection database can be systematically captured, stored and managed through BIM-based models. The inspection information in MR environment has been improved in interpretation, visualization and visual interpretation of 3D models because of intuitively interactive in real-time simulation.

Originality/value
The proposed framework through “HoloBridge” application explores the potential of integrating BIM and MR technology by using Hololens. It provides new possibilities for remote inspection of bridge conditions.
Design of reversible Feynman and double Feynman gates in quantum-dot cellular automata nanotechnology
Authors: Riyaz Sadat , Sharma Vijay Kumar 
Published: September 2021

Purpose
This paper aims to propose the reversible Feynman and double Feynman gates using quantum-dot cellular automata (QCA) nanotechnology with minimum QCA cells and latency which minimizes the circuit area with the more energy efficiency.

Design/methodology/approach
The core aim of the QCA nanotechnology is to build the high-speed, energy efficient and as much smaller devices as possible. This brings a challenge for the designers to construct the designs that fulfill the requirements as demanded. This paper proposed a new exclusive-OR (XOR) gate which is then used to implement the logical operations of the reversible Feynman and double Feynman gates using QCA nanotechnology.

Findings
QCA designer-E has been used for the QCA designs and the simulation results. The proposed QCA designs have less latency, occupy less area and have lesser cell count as compared to the existing ones.

Originality/value
The latencies of the proposed gates are 0.25 which are improved by 50% as compared to the best available design as reported in the literature. The cell count in the proposed XOR gate is 11, while it is 14 in Feynman gate and 27 in double Feynman gate. The cell count for the proposed designs is minimum as compared to the best available designs.
An extended car-following model considering the effect of two-sided lateral gap with uncertain velocity on curved road
Authors: Li Huizhe , Ge Hongxia , Cheng Rongjun 
Published: September 2021

PurposeThe goal of this study is to explore the effect of two-sided lateral gap with uncertain velocity on the stability of traffic flow on a curved road.Design/methodology/approachIn this paper, an extended car-following model considering the effect of two-sided lateral gap with uncertain velocity on a curved road is proposed. The effects of different lateral positions and radius of different sizes can be considered as control signals. The stability condition of the new model is obtained by the control theory. The numerical simulations are carried out to analyze how the control signal and lateral positions and radius of curved road affect traffic flow stability. The results show that driving between two lanes and inaccurate speed estimates both have a negative effect on traffic flow stability, and the stability also decreases with the increase in the radius of curved road.Findings(1) Simulation of influencing factors of vehicle lateral position indicates that if the driver drives between two lanes, it would have a negative impact on traffic flow. (2) When the speed is fixed, the traffic flow becomes more and more unstable with the increase in the radius of the curve. (3) The stability of traffic flow will be affected when the driver estimates the speed of the vehicle ahead. Therefore, whether it is manual driving or future intelligent vehicle driving, it is necessary to accurately judge the speed of the front vehicle.Originality/valueThere is little research on two-sided lateral gap with uncertain velocity for the stability of traffic flow on a curved road. The enhanced model constructed in this study can better reflect the real traffic, which can also give some theoretical reference for the development of connected and autonomous vehicles (CAVs).
Social inclusion of migrant workers in a pandemic: employing consumer vulnerability lens to internal Indian migrant experience
Authors: Voola Archana Preeti , Ray Subhasis , Voola Ranjit 
Published: September 2021

PurposeThe purpose of this paper is to expand the theoretical understanding of social inclusion of vulnerable populations. Employing cross disciplinary literature from marketing and social policy, this paper examines the factors shaping internal migrant workers experience of inclusion and vulnerability in the context of COVID-19 pandemic.Design/methodology/approachThe authors conducted a review of social inclusion and consumer vulnerability literature to develop a new and innovative conceptual framework which operationalises social inclusion. This framework was then examined using an illustrative case study of internal migrant worker crisis in India. Data for the case were collected from various national and international media, government and non-government reports published in English on the pandemic related migrant crisis in India.FindingsAccess and control over food was fraught with barriers for migrant workers. As the lockdown progressed, access to and control over work opportunities was precarious. Furthermore, the resource-control constraints faced by migrant workers in terms of food, work and transport had a direct impact on their experience of social inclusion. Lastly, the stranded migrant workers found themselves unable to fully participate in economic activities.Originality/valueTo the authors’ knowledge this is the first paper that integrates consumer vulnerability concept, originating in marketing scholarship into the social inclusion framework. This allowed for anchoring the “aspirational goals” of social inclusion into the concrete context of consumers and marketplaces.
DMart: driving growth in a changed business environment
Authors: Pradhan Swapna , Bhatkal Smeeta 
Published: September 2021

Learning outcomes
The learning outcomes of this paper are as follows: to comprehend the unique features of the DMart business model, to understand the dynamics of the Indian food and grocery market, to analyse the reasons for the success of DMart, to analyse the financial health of a business by using financial ratios and to appreciate the effect of business and operating strategy on financial statements.

Case overview/synopsis
In September 2020, the management team of Pegasus Consulting (PS) – a boutique strategy consulting firm headquartered in Mumbai, India had convened a meeting to evaluate business options for future growth. Post the COVID −19 pandemic outbreak in India in March 2020; many industry sectors had been experiencing a general slowdown in business. Retail was one such sector identified, which had faced a slowdown. A recent Edelweiss report suggested a 39% dip in revenues of DMart stores that were owned and operated by Avenue Supermarts Limited (ASL). The PS team had been following the impressive growth story of DMart since 2017 when they had made a historic market debut with the initial public offering. Over the years the company had grown and emerged as one of the most valued listed retailers in the Indian retail space in the fiscal year 2019–2020. However, much had changed, as the imposition of the countrywide lockdown in March 2020. Based on the Government of India and local government directives nearly 50% of the stores had to be temporarily shut. The case highlights the dynamics of the Indian retail market with multiple players and formats and the changes in consumer behaviour. ASL had used its DMart Ready online app and DMart on Wheels to service the needs of its customers during the period of the lockdown. The PS team wanted to make a business consulting pitch to DMart to help them revive their growth trajectory. What could be the best advice that the PS team could offer to DMart in their pitch?

Complexity academic level
The case has been written with the objective of enabling the students to understand the dynamics of a rapidly changing emerging market. It is structured for use at a Master’s level course and an MBA audience in the subject of business strategy and/or retail strategy.

Supplementary materials
Teaching Notes are available for educators only.

Subject code
CSS 11: Strategy.
Central bank's communication and markets' reactions: Polish evidence
Authors: Brzeszczyński Janusz , Gajdka Jerzy , Schabek Tomasz , Kutan Ali M 
Published: September 2021

PurposeThis study contributes to the pool of knowledge about the impact of monetary policy communication of central banks on financial instruments' prices and assets' value in emerging markets.Design/methodology/approachEmpirical analysis is executed using the National Bank of Poland (NBP) announcements about its monetary policy covering the data from the broad financial market in its three main segments: stock market, foreign exchange market and bonds market. The reactions are measured relative to the changes in the NBP announcements and also with respect to investors' expectations. Autoregressive conditional heteroscedasticity (ARCH) models with dummy variables are used as the main methodological tool.FindingsBonds market and foreign exchange market are the most sensitive market segments, while interest rate and money supply are the most influential types of announcements. The changes of the revealed new macroeconomic figures had more impact on assets' prices movements than the deviations from their expectations. Moreover, greater diversity of the Monetary Policy Council (MPC) members' opinions on the voted motions, captured in the MPC voting reports, is associated with more cases of statistically significant NBP communication events.Practical implicationsThe findings have direct relevance for fund managers, portfolio analysts, investors and also for financial market regulators.Originality/valueThe results provide novel evidence about how the emerging financial market responds to monetary policy announcements. They help understand the nature of the impact of public information on financial assets' valuation and on movements of their prices, analysed comprehensively in three market segments, in the emerging market environment.
An enhanced network intrusion detection system for malicious crawler detection and security event correlations in ubiquitous banking infrastructure
Authors: Eswaran Sivaraman , Rani Vakula , D. Daniel , Ramakrishnan Jayabrabu , Selvakumar Sadhana 
Published: September 2021

Purpose
In the recent era, banking infrastructure constructs various remotely handled platforms for users. However, the security risk toward the banking sector has also elevated, as it is visible from the rising number of reported attacks against these security systems. Intelligence shows that cyberattacks of the crawlers are increasing. Malicious crawlers can crawl the Web pages, crack the passwords and reap the private data of the users. Besides, intrusion detection systems in a dynamic environment provide more false positives. The purpose of this research paper is to propose an efficient methodology to sense the attacks for creating low levels of false positives.

Design/methodology/approach
In this research, the authors have developed an efficient approach for malicious crawler detection and correlated the security alerts. The behavioral features of the crawlers are examined for the recognition of the malicious crawlers, and a novel methodology is proposed to improvise the bank user portal security. The authors have compared various machine learning strategies including Bayesian network, support sector machine (SVM) and decision tree.

Findings
This proposed work stretches in various aspects. Initially, the outcomes are stated for the mixture of different kinds of log files. Then, distinct sites of various log files are selected for the construction of the acceptable data sets. Session identification, attribute extraction, session labeling and classification were held. Moreover, this approach clustered the meta-alerts into higher level meta-alerts for fusing multistages of attacks and the various types of attacks.

Originality/value
This methodology used incremental clustering techniques and analyzed the probability of existing topologies in SVM classifiers for more deterministic classification. It also enhanced the taxonomy for various domains.