bluuebunny/crossref_metadata_2025_split huggingface dataset:
Single-cell multiomic analysis reveals the involvement of Type I interferon-responsive CD8+ T cells in amyloid beta-associated memory loss
Authors: Fernando Nilisha , Gopalakrishnan Jaanam , Behensky Adam , Reich Lauren , Liu Chunhong , Bass Victor , Bono Michaella , Montgomery William , De Pace Raffaella , Mattapallil Mary , Nagarajan Vijayaraj , Brooks Stephen , Maric Dragan , Caspi Rachel R , McGavern Dorian B. , Shih Han-Yu 
Published: March 2023

AbstractAlzheimer’s disease (AD) is the leading cause of dementia worldwide, but there are limited therapeutic options and no current cure. While the involvement of microglia in AD has been highly appreciated, the role of other innate and adaptive immune cells remains largely unknown, partly due to their scarcity and heterogeneity. This study aimed to study non-microglial immune cells in wild type and AD-transgenic mouse brains across different ages. Our results uncovered the presence of a unique CD8+ T cell population that were selectively increased in aging AD mouse brains, here referred to as “disease-associated T cells (DATs)”. These DATs were found to express an elevated tissue-resident memory and Type I interferon-responsive gene signature. Further analysis of aged AD mouse brains showed that these CD8+ T cells were not present in peripheral or meningeal tissues. Preventing CD8+ T cell development in AD-transgenic mice via genetic deletion of beta-2 microglobulin (B2m) led to a reduction of amyloid-β plaque formation in aged mice, and improved memory in AD-transgenic mice as early as four months of age. The integration of transcriptomic and epigenomic profiles at the single-cell level revealed potential transcription factors that reshape the regulomes of CD8+ T cells. These findings highlight a critical role for DATs in the progression of AD and provide a new avenue for treatment.
Fungal antigenic variation using mosaicism and reassortment of subtelomeric genes’ repertoires, potentially mediated by DNA triplexes
Authors: Meier Caroline S. , Pagni Marco , Richard Sophie , Mühlethaler Konrad , Almeida Joao M. G. C. F. , Nevez Gilles , Cushion Melanie T. , Calderón Enrique J. , Hauser Philippe M. 
Published: March 2023

AbstractSurface antigenic variation is crucial for major pathogens that infect humans, e.g.Plasmodium1,Trypanosoma2,Giardia3. In order to escape the immune system, they exploit various mechanisms in order to modify or exchange the protein that is exposed on the cell surface, at the genetic, expressional, and/or epigenetic level4. Understanding these mechanisms is important to better prevent and fight the deadly diseases caused. However, those used by the fungusPneumocystis jiroveciithat causes life-threatening pneumonia in immunocompromised individuals remain poorly understood. Here, though this fungus is currently not cultivable5, our detailed analysis of the subtelomeric sequence motifs and genes encoding surface proteins suggest that the system involves mediation of homologous recombinations during meiosis by DNA triplexes. This leads to the reassortment of the repertoire of ca. 80 non-expressed genes present in each strain, from which single genes are retrieved for mutually exclusive expression within subpopulations of cells6. The recombinations generates also constantly new mosaic genes. Dispersion of the new alleles and repertoires, supposedly by healthy carrier individuals, appears very efficient because identical alleles are observed in patients from all over the world. Our observations reveal a unique strategy of antigenic variation allowing colonization of the non-sterile niche corresponding to lungs of healthy humans. They also highlight the possible role in genome rearrangements of small imperfect mirror sequences forming DNA triplexes7. Such mirror sequences are widespread in eukaryotic genomes8, as well as in HIV virus9, but remain poorly understood so far.
A Consequence of Immature Breathing induces Persistent Changes in Hippocampal Synaptic Plasticity and Behavior: A Role of Pro-Oxidant State and NMDA Receptor Imbalance
Authors: Arias-Cavieres Alejandra , Garcia Alfredo J. 
Published: March 2023

AbstractUnderdeveloped breathing results from premature birth and causes intermittent hypoxia during the early neonatal period. Neonatal intermittent hypoxia (nIH) is a condition linked to the increased risk of neurocognitive deficit later in life. However, the underlying mechanistic consequences nIH-induced neurophysiological changes remains poorly resolved. Here, we investigated the impact of nIH on hippocampal synaptic plasticity and NMDA receptor (NMDAr) expression in neonatal mice. Our findings indicate that nIH induces a pro-oxidant state, leading to an imbalance in NMDAr subunit composition that favors GluN2A over GluN2B expression, and subsequently impairs synaptic plasticity. These consequences persist in adulthood and coincide with deficits in spatial memory. Treatment with the antioxidant, manganese(III) tetrakis(1-methyl-4-pyridyl)porphyrin (MnTMPyP), during nIH effectively mitigated both immediate and long-term effects of nIH. However, MnTMPyP treatment post-nIH did not prevent the long-lasting changes in either synaptic plasticity or behavior. Our results underscore the central role of the pro-oxidant state in nIH-mediated neurophysiological and behavioral deficits and importance of stable oxygen homeostasis during early life. These findings suggest that targeting the pro-oxidant state during a discrete window may provide a potential avenue for mitigating long-term neurophysiological and behavioral outcomes when breathing is unstable during early postnatal life.HighlightsUntreated immature breathing leads neonatal intermittent hypoxia (nIH).nIH promotes a pro-oxidant state associated with increased HIF1a activity and NOX upregulation.nIH-dependent pro-oxidant state leads to NMDAr remodeling of the GluN2 subunit to impair synaptic plasticity.Impaired synaptic plasticity and NMDAr remodeling caused by nIH persists beyond the critical period of development.A discrete window for antioxidant administration exists to effectively mitigate neurophysiological and behavioral consequences of nIH.
Humility breeds creativity: the moderated mediation model of leader humility and subordinates’ creative service performance in hospitality
Authors: Tariq Hussain , Abrar Muhammad , Ahmad Bashir 
Published: March 2023

Purpose
Drawing on the socially embedded model of thriving and the idiosyncrasy credit model of leadership, this study aims to develop a moderated mediation model to investigate the roles that are thriving at work and leader competency play in the link between leader humility and creative service performance (CSP) of hospitality frontline service employees (FSEs).

Design/methodology/approach
To test the moderated mediation model, the authors applied a time-lagged research design and collected multi-source data from locally owned, star-rated hotels headquartered in the capital city of Pakistan. The authors collected the multi-source data at three different points in time from employees and their respective supervisors (N = 52 managers and their 312 immediate employees).

Findings
The results denote that leader humility positively impacts CSP, thriving at work mediates this impact and leader competency not only moderates the connection between leader humility and thriving at work but also magnifies the indirect association between leader humility and CSP via thriving at work.

Research limitations/implications
The moderated mediation framework based on the socially embedded model of thriving and the idiosyncrasy credit model of leadership will benefit future researchers and practitioners while exploring the impact of leader humility (LH) on FSEs’ CSP in the hospitality context.

Originality/value
The fundamental contribution of this study is developing and testing a research model that concentrates on the effects of leader humility on FSEs’ CSP. Moreover, by receiving support on the mediating role of thriving, this research further sheds light on how subordinates under the leader with humility demonstrate high CSP. In addition, the moderating role of leader competency found in this study further highlights that leader effectiveness depends on the degree to which employees perceive their leader as competent.
Inductive open data study on teleworking dissatisfaction in Spain during the Covid-19 pandemic
Authors: de Esteban Curiel Javier , Antonovica Arta , Sánchez Morales Maria del Rosario 
Published: March 2023

PurposeThe research paper aims to study dissatisfaction of teleworking employees in Spain during the Covid-19 health pandemic in order to propose three models: sociodemographic profile of the teleworking dissatisfied employee; advantages and disadvantages for the teleworking dissatisfied employee and advantages for the teleworking dissatisfied employee.Design/methodology/approachThis study uses official open data obtained from the Spanish National Statistical Institute (INE, 2022) through Decision Trees statistical multivariable models implementing Classification and Regression Trees and Recursive Partitioning and Regression Trees techniques to determine the variables that can influence the satisfaction or dissatisfaction of the subjects.FindingsThis investigation offers three models with two sociodemographic profiles of dissatisfied teleworking employee, who is a high/middle-level manager/employee around 45 years old, and she/he lives with the partner. Regarding the most important advantage of teleworking, employees consider “use/saving of time” and as disadvantage “worse organization and coordination of work”.Originality/valueThis research provides empirical evidence with inductive reasoning on understanding the challenges of teleworking dissatisfied employees in Spain not only in turbulent times but also in “normalcy” to improve overall teleworker well-being and accomplish company’s and organization’s long-term objectives for better productivity and effectivity. The study has high practical value due to the integral approach incorporating dissatisfaction as a driver that can trigger negative behaviours towards the organizations and that is seldom addressed in the literature. Additionally, this paper could provide some new ideas for accomplishing “Spain Digital 2025” and “Europe’s Digital Decade: 2030” plans on institutional level.
The process optimization method of the optimal online sales model of information product demand concerning the spillover effect
Authors: Amin Rubel , Kushwaha Bijay Prasad , Miah Md Helal 
Published: March 2023

PurposeThis paper examines the process optimization method of the online sales model of information product demand concerning the spillover effect. It illustrates the spillover effect (SE) of online product demand compared with traditional market demand. Also, optimized the SE for the ethical and ordinary consumer.Design/methodology/approachThis article primarily focused on two types of models for online marketing: one is wholesales, and another is the agency. Firstly, the wholesale and agency models without SE and the wholesale and agency models with SE are constructed, respectively, to realize the SE in different sales models. Secondly, online channel participants' optimal price, demand and profit under variant conditions are compared and analyzed. Finally, efficient supply chain theory is optimized for the decision-making of online marketing consumers using an equation-based comparative analysis method.FindingsThe study found that when SEs are not considered, stronger piracy regulation makes online channel participants more beneficial. When the positive SE is strong, it is detrimental to manufacturers. When SEs are not considered, online channel participants only reach Pareto in agency mode. Pareto optimality can be achieved in wholesale and agency modes when SEs are considered.Originality/valueThe research has practical implications for an effective supply chain model for online marketing. This is the first algorithm-based comparative study concerning theoretical spillover effect analysis in supply chain management.
Senior entrepreneurs: the impact of temporal perception on the entrepreneurial process
Authors: Biron Dominique , St-Jean Etienne 
Published: March 2023

PurposeLonger life expectancy brings a new phenomenon: senior entrepreneurship. Whereas starting a business involves investing energy, time, money or other types of resources, ageing is somewhat incompatible with these terms. Research on the impact of time perception on the entrepreneurial process is rather scarce. Considering the lack of knowledge related to the impact of time perception on the entrepreneurship process, this study aims to answer the following research question: how does temporal perception influence the entrepreneurial process?Design/methodology/approachSenior entrepreneurs are the most relevant category of individuals from which the impact of time perception could be observed, as they are objectively closer to the end of their careers than younger entrepreneurs. Therefore, longitudinal research was conducted by interviewing five senior entrepreneurs at 4-year intervals.FindingsResults show that there are two types of temporal perception in entrepreneurship: temporal perception of the entrepreneur's career and temporal perception of the enterprise's development. When these two-time perspectives are not synchronized with the entrepreneur's vision, the entrepreneur develops strategies for seeking to re-establish synchronicity between the temporal perspective (TP) of their entrepreneurial career and that of the business development. The senior entrepreneur is distinguished from a traditional entrepreneur by a limited TP of their entrepreneurial career combined with the notions of bridge employment and generativity.Research limitations/implicationsThe number of cases under study did not allow us to examine every possible type of situation. The sampling of the cases under study did not offer great diversity in terms of gender, as the study had only men. However, the range of ages at startup, from 50 to 65 years, provides greater diversity, as does the range of business segments that included the service, manufacturing and retail food industries.Originality/valueEntrepreneurs with a limited career time perspective correspond to senior entrepreneurs, while others who have an open career prospect, regardless of their age, correspond to any other form of an entrepreneur. This study has also been able to identify that an entrepreneur who realizes their limited entrepreneurial career horizon and perceives a temporal purpose of their company in the service of the involved parties tends to plan the entrepreneurial exit phase.
The efficiency evaluation and influencing factor analysis of regional green innovation: a refined dynamic network slacks-based measure approach
Authors: Fang Zerun , Gui Wenlin , Han Zhaozhou , Lan Lan 
Published: March 2023

PurposeThis study aims to propose a refined dynamic network slacks-based measure (DNSBM) to evaluate the efficiency of China's regional green innovation system which consists of basic research, applied research and commercialization stages and explore the influencing factors of the stage efficiency.Design/methodology/approachA two-step procedure is employed. The first step proposes an improved DNSBM model with flexible settings of stages' input or output efficiency and uses second order cone programming (SOCP) to solve the non-linear problem. In the second step, least absolute shrinkage and selection operator (LASSO) and Tobit models are used to explore the influencing factors of the stage efficiency. Global Dynamic Malmquist Productivity Index (GDMPI) and Dagum Gini coefficient decomposition method are introduced for further discussion of the productivity change and regional differences.FindingsOn average, Chinese provincial green innovation efficiency should be improved by 24.11% to become efficient. The commercialization stage outperforms the stages of basic research and applied research. Comparisons between the proposed model and input-oriented, output-oriented and non-oriented DNSBM models show that the proposed model is more advanced because it allows some stages to have output-oriented model characteristics while the other stages have input-oriented model characteristics. The examination of the influencing factors reveals that the three stages of the green innovation system have quite diverse influencing factors. Further discussion reveals that Chinese green innovation productivity has increased by 39.85%, which is driven mainly by technology progress, and the increasing tendency of regional differences between northern and southern China should be paid attention to.Originality/valueThis study proposes an improved dynamic three-stage slacks-based measure (SBM) model that allows calculating output efficiency in some stages and input efficiency in the other stages with the application of SOCP approach. In order to capture productivity change, this study develops a GDMPI based on the DNSBM model. In practice, the efficiency of regional green innovation in China and the factors that influence each stage are examined.
Rapid tooling: investigation of soft-tooled micro-injection moulding process characteristics using in-line measurements and surface metrology
Authors: Gülçür Mert , Couling Kevin , Goodship Vannessa , Charmet Jérôme , Gibbons Gregory J. 
Published: March 2023

Purpose
The purpose of this study is to demonstrate and characterise a soft-tooled micro-injection moulding process through in-line measurements and surface metrology using a data-intensive approach.

Design/methodology/approach
A soft tool for a demonstrator product that mimics the main features of miniature components in medical devices and microsystem components has been designed and fabricated using material jetting technique. The soft tool was then integrated into a mould assembly on the micro-injection moulding machine, and mouldings were made. Sensor and data acquisition devices including thermal imaging and injection pressure sensing have been set up to collect data for each of the prototypes. Off-line dimensional characterisation of the parts and the soft tool have also been carried out to quantify the prototype quality and dimensional changes on the soft tool after the manufacturing cycles.

Findings
The data collection and analysis methods presented here enable the evaluation of the quality of the moulded parts in real-time from in-line measurements. Importantly, it is demonstrated that soft-tool surface temperature difference values can be used as reliable indicators for moulding quality. Reduction in the total volume of the soft-tool moulding cavity was detected and quantified up to 100 cycles. Data collected from in-line monitoring was also used for filling assessment of the soft-tool moulding cavity, providing about 90% accuracy in filling prediction with relatively modest sensors and monitoring technologies.

Originality/value
This work presents a data-intensive approach for the characterisation of soft-tooled micro-injection moulding processes for the first time. The overall results of this study show that the product-focussed data-rich approach presented here proved to be an essential and useful way of exploiting additive manufacturing technologies for soft-tooled rapid prototyping and new product introduction.
Ground force analysis of a portable electromagnetic seismic vibrator for different surface environments and driving voltages
Authors: Chen Yuda , Lin Jun , Jiang Yuanjie , Xing Xuefeng 
Published: March 2023

AbstractKnowing the actual ground force is important for seismic data processing and seismic vibrator control. However, the weighted‐sum method is widely used to estimate the actual ground force in seismic vibrator exploration. Due to the nonideal body of the baseplate and the nonlinear coupling between the baseplate and the ground, the weighted‐sum method suffers from estimation error. It is feasible to obtain the actual ground force by using load cells. In previous studies, the effects of different surface environments and driving voltages on the actual ground force were rarely analysed. In this paper, a field experiment was conducted to study the actual ground force of a portable electromagnetic seismic vibrator for different surface environments and driving voltages. The fundamental wave, multiple harmonics, phase distortion, response delay, weighted‐sum method estimation error and ground impedance were analysed. The experimental results show that there are obvious second‐to‐fifth harmonics in the actual ground force. An increase in the driving voltage will enhance the energy ratio of the fundamental wave, suppress the phase distortion and increase the response time of the actual ground force. In a soft soil environment, there are obvious amplitude and phase differences between the weighted‐sum ground force and the actual ground force. The phase difference is affected by the driving voltage, which causes a time delay in the cross‐correlated wavelet between the weighted‐sum ground force and the actual ground force. The ground impedance beneath the baseplate is highly non‐linear. As the vibration frequency increases, the viscosity and stiffness of the coupled ground tend to be stable.
Quantifying the movement, behaviour and environmental context of group‐living animals using drones and computer vision
Authors: Koger Benjamin , Deshpande Adwait , Kerby Jeffrey T. , Graving Jacob M. , Costelloe Blair R. , Couzin Iain D. 
Published: March 2023

Abstract

Methods for collecting animal behaviour data in natural environments, such as direct observation and biologging, are typically limited in spatiotemporal resolution, the number of animals that can be observed and information about animals' social and physical environments.

Video imagery can capture rich information about animals and their environments, but image‐based approaches are often impractical due to the challenges of processing large and complex multi‐image datasets and transforming resulting data, such as animals' locations, into geographical coordinates.

We demonstrate a new system for studying behaviour in the wild that uses drone‐recorded videos and computer vision approaches to automatically track the location and body posture of free‐roaming animals in georeferenced coordinates with high spatiotemporal resolution embedded in contemporaneous 3D landscape models of the surrounding area.

We provide two worked examples in which we apply this approach to videos of gelada monkeys and multiple species of group‐living African ungulates. We demonstrate how to track multiple animals simultaneously, classify individuals by species and age–sex class, estimate individuals' body postures (poses) and extract environmental features, including topography of the landscape and animal trails.

By quantifying animal movement and posture while reconstructing a detailed 3D model of the landscape, our approach opens the door to studying the sensory ecology and decision‐making of animals within their natural physical and social environments.
Diversification and resilience of firms in the agrifood supply chain
Authors: Stevens Andrew W. , Teal Jim 
Published: March 2023

AbstractAre diversified firms more resilient to negative market shocks than specialized firms? We answer this question in the context of the COVID‐19 pandemic by analyzing data from small‐ and medium‐sized firms in the U.S. agrifood supply chain. We first develop revenue‐based measures of firms' vertical (across supply‐chain segment) and horizontal (within supply‐chain segment) diversification. We then compare post pandemic outcomes of more diversified and less diversified firms using several inverse‐probability weighting techniques. We find that vertical diversification reduces firms' resilience, whereas horizontal diversification increases firms' resilience.