bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genetic diversity and population structure of sweet orange [Citrus sinensis (L.) Osbeck] germplasm of India revealed by SSR and InDel markers
Authors: Kumar J.Prasanth Tej , Thirugnanavel A. , Upadhyay Devendra Y. , Kamde Snehal A. , Jalamkar Prafulla R. , Murkute Ashutosh A. 
Published: January 2022

AbstractSweet orange (Citrus sinensis (L.) Osbeck) is an important commercial citrus fruit crop, cultivated in India and across the world. In India most of the cultivated sweet orange species were introduced varieties. In this study, we used two molecular markers,SSR and InDels, to understand the genetic diversity and population structure of seventy-two sweet orange genotypes. Genetic parameters consisted of total number of alleles, number of polymorphic alleles (effective alleles); genetic diversity (G.D.), expected heterozygosity (He) and polymorphic information content (PIC) were calculated based on molecular data. Two dendrograms were constructed based on the InDels and SSR. In the both the cases they formed three major clusters showing various degrees of variations with respect to members of the clusters. Population structure analysis revealed presence of two distinct sub populations. Therefore, in order to address various challenges and develop sweet orange varieties with desirable traits, there is a need to broaden the genetic base of sweet orange through intensive collection in the northeastern region. These results of intra-specific genetic variability of the collections will dictate the path for the sweet orange breeding and conservation programs in India.
Emergence of Heartbeat Frailty in Advanced Age: Perspectives from Life-Long EKG Recordings in Mice
Authors: Moen Jack M , Morrell Christopher H. , Ahmet Ismayil , Matt Michael G. , Davoodi Moran , Petr Michael , Charles Shaquille , deCabo Raphael , Yaniv Yael , Lakatta Edward G 
Published: January 2022

AbstractSAN failure, aka sick-sinus syndrome, which features sinus bradycardia, SAN impulse pauses, and irregularity of RR interval rhythms are manifestations of SAN cell dysfunction that increases exponentially with advanced age, i.e., SAN frailty. Abnormalities in intrinsic RR interval variability may be the earliest signatures of SAN cell dysfunction leading to SAN frailty in late life. We measured RR interval variability within EKG timeseries prior to and during double autonomic blockade in long-lived C57/BL6 mice at 3 month intervals from 6 months of age until the end of life.Long-lived mice (those that achieved the median cohort lifespan of 24 months and beyond) displayed relatively minor changes in intrinsic RR interval variability prior to 21 months of age. Between 21 and 30 months of age, marked changes in intrinsic RR interval variability signatures in time, frequency, non-linear, and fragmentation domains result in a marked increase in the mean intrinsic RR interval. The effects of autonomic input partially compensated for the prolongation of the mean RR interval by impacting the age-associated deterioration in the RR interval variability signatures toward a youthful pattern. Cross-sectional analyses of other subsets of mice at ages at or beyond the median life span of our longitudinal cohort demonstrated increased non-cardiac, constitutional, whole body frailty, a decrease in energetic efficiency, and an increase in respiratory exchange ratio. In this context, we interpret the progressive increase in intrinsic RR interval variability beyond 21 months of age to be an indication of heartbeat frailty.
Nonmodular oscillator and switch based on RNA decay drive regeneration of multimodal gene expression
Authors: Nordick Benjamin , Yu Polly Y. , Liao Guangyuan , Hong Tian 
Published: January 2022

ABSTRACTPeriodic gene expression dynamics are key to cell and organism physiology. Studies of oscillatory expression have focused on networks with intuitive regulatory negative feedback loops, leaving unknown whether other common biochemical reactions can produce oscillations. Oscillation and noise have been proposed to support mammalian progenitor cells’ capacity to restore heterogenous, multimodal expression from extreme subpopulations, but underlying networks and specific roles of noise remained elusive. We use mass-action-based models to show that regulated RNA degradation involving as few as two RNA species—applicable to nearly half of human protein-coding genes—can generate sustained oscillations without imposed feedback. Diverging oscillation periods synergize with noise to robustly restore cell populations’ bimodal expression. The global bifurcation organizing this divergence relies on an oscillator and bistable switch which cannot be decomposed into two structural modules. Our work reveals surprisingly rich dynamics of post-transcriptional reactions and a potentially widespread mechanism useful for development and regeneration.
Computational Prediction of Heteromeric Protein Complex Disassembly Order with Hybrid Monte Carlo/Molecular Dynamics Simulation
Authors: Kurisaki Ikuo , Tanaka Shigenori 
Published: January 2022

AbstractThe physicochemical entity of biological phenomenon in the cell is a network of biochemical reactions and the activity of such a network is regulated by multimeric protein complexes. Mass spectroscopy (MS) experiments and multimeric protein docking simulations based on structural bioinformatics techniques have revealed the molecular-level stoichiometry and static configuration of subcomplexes in their bound forms, then revealing the subcomplex populations and formation orders. Meanwhile, these methodologies are not designed to straightforwardly examine temporal dynamics of multimeric protein assembly and disassembly, essential physicochemical properties to understand functional expression mechanisms of proteins in the biological environment. To address the problem, we had developed an atomistic simulation in the framework of the hybrid Monte Carlo/Molecular Dynamics (hMC/MD) method and succeeded in observing disassembly of homomeric pentamer of the serum amyloid P component protein in experimentally consistent order. In this study, we improved the hMC/MD method to examine disassembly processes of the tryptophan synthase tetramer, a paradigmatic heteromeric protein complex in MS studies. We employed the likelihood-based selection scheme to determine a dissociation-prone subunit pair at each hMC/MD simulation cycle and achieved highly reliable predictions of the disassembly orders with the success rate over 0.9 withouta prioriknowledge of the MS experiments and structural bioinformatics simulations. We similarly succeeded in reliable predictions for the other three tetrameric protein complexes. These achievements indicate the potential availability of our hMC/MD approach as the general purpose methodology to obtain microscopic and physicochemical insights into multimeric protein complex formation.
EZ Clear for simple, rapid, and robust mouse whole organ clearing
Authors: Hsu Chih-Wei , Cerda Juan , Kirk Jason M. , Turner Williamson D. , Rasmussen Tara L. , Suarez Carlos P. Flores , Dickinson Mary E. , Wythe Joshua D. 
Published: January 2022

ABSTRACTTissue clearing for whole organ cell profiling has revolutionized biology and imaging for exploration of organs in three-dimensional space without compromising tissue architecture. But complicated, laborious procedures, or expensive equipment, as well as the use of hazardous, organic solvents prevents the widespread adoption of these methods. Here we report a simple and rapid tissue clearing method, EZ Clear, that can clear whole adult mouse organs in 48 hours in just three simple steps. Samples stay at room temperature and remain hydrated throughout the clearing process, preserving endogenous and synthetic fluorescence, without altering sample size. After wholemount clearing and imaging, EZ Cleared samples can be further processed for downstream embedding and cryosectioning followed by standard histology or immunostaining, without loss of endogenous or synthetic fluorescence signal. Overall, the simplicity, speed, and flexibility of EZ Clear make it easy to adopt and apply to diverse approaches in biomedical research.
Understanding Barriers to Diagnosis in a Rare, Genetic Disease: Delays and Errors in Diagnosing Schwannomatosis
Authors: Merker Vanessa L. , Slobogean Bronwyn , Jordan Justin T. , Langmead Shannon , Meterko Mark , Charns Martin P. , Elwy A. Rani , Blakeley Jaishri O. , Plotkin Scott R. 
Published: January 2022

AbstractDiagnosis of rare, genetic diseases is challenging, but conceptual frameworks of the diagnostic process can be used to guide benchmarking and process improvement initiatives. Using the National Academy of Medicine diagnostic framework, we assessed the extent of, and reasons for diagnostic delays and diagnostic errors in schwannomatosis, a neurogenetic syndrome characterized by nerve sheath tumors and chronic pain. We reviewed the medical records of 97 people with confirmed or probable schwannomatosis seen in two U.S. tertiary care clinics. Time-to-event analysis revealed a median time from first symptom to diagnosis of 16.7 years (95% CI, 7.5-26.0 years) and median time from first medical consultation to diagnosis of 9.8 years (95% CI, 3.5-16.2 years). Factors associated with longer times to diagnosis included initial signs/symptoms that were intermittent, non-specific, or occurred at younger ages (p<0.05). Thirty-six percent of patients experienced a misdiagnosis of their underlying genetic condition (18.6%), pain etiology (16.5%) and/or tumor classification (11.3%). One-fifth (19.6%) of patients had a clear missed opportunity for genetics workup that could have led to an earlier schwannomatosis diagnosis. These results suggest that interventions in clinician education, genetic testing availability, expert review of pathology findings, and automatic triggers for genetics referrals may improve diagnosis of schwannomatosis.
Seasonal Prediction of Omicron Pandemic
Authors: Huang Jianping , Zhao Yingjie , Zhang Li , Li Xu , Gao Shuoyuan , Song Xiaodong 
Published: January 2022

AbstractThe ongoing coronavirus disease 2019 (COVID-19) pandemic has pushed the world in the face of another huge outbreak. In order to have a better understanding on the fast transmission of Omicron variant, we made seasonal predictions on the development of Omicron pandemic globally, as well as 11 key countries. The results demonstrated that the pandemic has an exponential-like growth rate at the initial stage of the outbreak, and will have small resurgences around April and June in north hemisphere countries and south hemisphere countries, respectively.
Impact of the length of stay at hotels on online reviews
Authors: Kim Jong Min , Han Jeongsoo 
Published: January 2022

PurposeThe length of stay (LoS) is of major importance from the perspective of the management of tourist destinations. As tourists heavily rely on the online reviews of other travelers as a primary information source, this study aims to empirically examine how the LoS can influence the online reviews for hotels, with special emphasis on the textual review content.Design/methodology/approachThis study analyzes online review data collected from Booking.com by using the Linguistic Inquiry and Word Count program to operationalize review depth, analytical thinking and the authenticity reflected in customer reviews. Based on the analyzed data, this study used a series of regression analyses to understand the impacts of the LoS on online reviews.FindingsThe author’s analysis found that a longer stay at a hotel causes consumers to be more likely to post online reviews that not only include a numerical rating as well as written content but also lengthier and more detailed descriptions of their hotel experiences. Further analysis found that the LoS at hotels causes systematic differences in the linguistic attributes of the review content. Specifically, consumers who stay longer tend to write reviews with more analytical information, resulting in consumers perceiving the online reviews as more authentic.Research limitations/implicationsAlthough the LoS has been considered a significant issue in tourism, studies examining the impact of different lengths of stay on consumers’ post-purchase behaviors are limited. In this light, the author’s findings demonstrate how the LoS can change the linguistic attributes of online reviews. It expands the body of knowledge of the LoS in tourism.Originality/valueThis study represents the first attempt to empirically examine and reveal how the different length of stay at a hotel systemically influences consumer review-posting behaviors.
Quality analysis for reliable complex multiclass neuroscience signal classification via electroencephalography
Authors: Shankhdhar Ashutosh , Verma Pawan Kumar , Agrawal Prateek , Madaan Vishu , Gupta Charu 
Published: January 2022

PurposeThe aim of this paper is to explore the brain–computer interface (BCI) as a methodology for generating awareness and increasing reliable use cases of the same so that an individual's quality of life can be enhanced via neuroscience and neural networks, and risk evaluation of certain experiments of BCI can be conducted in a proactive manner.Design/methodology/approachThis paper puts forward an efficient approach for an existing BCI device, which can enhance the performance of an electroencephalography (EEG) signal classifier in a composite multiclass problem and investigates the effects of sampling rate on feature extraction and multiple channels on the accuracy of a complex multiclass EEG signal. A one-dimensional convolutional neural network architecture is used to further classify and improve the quality of the EEG signals, and other algorithms are applied to test their variability. The paper further also dwells upon the combination of internet of things multimedia technology to be integrated with a customized design BCI network based on a conventionally used system known as the message query telemetry transport.FindingsAt the end of our implementation stage, 98% accuracy was achieved in a binary classification problem of classifying digit and non-digit stimuli, and 36% accuracy was observed in the classification of signals resulting from stimuli of digits 0 to 9.Originality/valueBCI, also known as the neural-control interface, is a device that helps a user reliably interact with a computer using only his/her brain activity, which is measured usually via EEG. An EEG machine is a quality device used for observing the neural activity and electric signals generated in certain parts of the human brain, which in turn can help us in studying the different core components of the human brain and how it functions to improve the quality of human life in general.
Acceptance of in-store apps: factors that influence the intention to adopt location-based retail apps – insights from Germany
Authors: Schrage Rabea , Meißner Lasse , Schütte Reinhard , Kenning Peter 
Published: January 2022

PurposeDue to recent developments of indoor location-tracking technologies, brick-and-mortar retailers are now able to add location-based marketing capabilities to their existing retail apps, providing retailers with new opportunities to interact with customers inside of their stores. The aim of this study is to identify factors influencing the customers' adoption intention of location-based retail apps for stationary retailing.Design/methodology/approachBased on the technology acceptance model, a conceptual model was developed. A Web-based survey was conducted in Germany with a final sample of 501 cases. Structural equation modelling was performed to test the hypotheses.FindingsThe results confirmed the positive relationship between attitude and the customers' intention to use location-based retail apps. Perceived usefulness and perceived enjoyment promote a positive attitude toward location-based retail apps, while privacy concerns and fear of spam hinder the formation of a favorable attitude. Subjective norms have a positive effect on customers' usage intention.Practical implicationsThe results help retailers who want to establish location-based retail apps at the point of sale (e.g. in the context of omni-channel strategies).Originality/valueAs previous research about location-based apps has mainly used empirical data from either Chinese or American samples, less is known about the perception of European customers. Research indicates that existing findings might not be transferable to European countries due to differences in values, social norms or regulations. Also, the failure of Shopkick in Germany illustrates the need for more research. Based on this, using a German sample to answer the research question, this study aims to provide a European perspective on location-based retail apps, and thereby extend existing research.
How can leaders alleviate employees' workplace anxiety caused by information overload on enterprise social media? Evidence from Chinese employees
Authors: Wang Changyu , Yuan Tianyu , Feng Jiaojiao , Peng Xinya 
Published: January 2022

PurposeThe purpose of this study is to explore the relationship between information overload and employees' workplace anxiety in the context of enterprise social media (ESM).Design/methodology/approachThis study built a theoretical model to analyze the relationships among employees' perceptions of information overload on ESM, supervisor-subordinate instrumental and expressive ties on ESM and workplace anxiety. PLS-SEM was used to test the model through 219 questionnaires collected online.FindingsThe results revealed that information overload on ESM plays a positive role in employees' workplace anxiety. Supervisor-subordinate instrumental ties based on ESM can weaken the relationship between information overload and employees' workplace anxiety, but expressive ties can strengthen the positive relationship between information overload and workplace anxiety.Originality/valueLittle is known about whether information overload on ESM will affect employees' workplace anxiety and how leaders can mitigate this effect through ESM. Hence, this study developed a theoretical model and conducted an empirical study to open up a research opportunity to examine the relationships among information overload on ESM, supervisor-subordinate instrumental and expressive ties on ESM and employees' workplace anxiety. The study also has the potential to guide organizations in fine-tuning their social media usage strategies.
Heritage futures: A conversation
Authors: Holtorf Cornelius , Bolin Annalisa 
Published: January 2022

PurposeThis article explores the concept of “heritage futures”, the role of heritage in managing relations between present and future societies. It assesses how thinking strategically about the future changes, complicates and contextualises practices of heritage. What might an attention to the future bring to work in heritage, and simultaneously, what challenges—both practical and ethical—arise?Design/methodology/approachThis article takes the form of a conversation about the nature of heritage futures and how such a project may be implemented in both heritage practice and field research in heritage studies. The two authors are heritage scholars who integrate heritage futures questions into their research in different ways, and their conversation uncovers potentialities and difficulties in the heritage futures project.FindingsThe discussion covers the particular ethical issues that arise when the dimension of time is added to heritage research and practice, including questions of continuism, presentism and specificity. The conversation argues for the importance of considering the future in heritage studies and heritage practice and that this forms a key part of understanding how heritage may be part of building a sustainable present and future.Originality/valueThe future is an under-examined concept within heritage studies, even as heritage is often framed as something to be preserved “for future generations”. But what impact might it have on heritage practice to really consider what this means, beyond the platitude? This article suggests that heritage scholars and practitioners direct their attention to this often-neglected facet of heritage.
Promoting organizational diversity and preserving socioemotional wealth: can family businesses balance the two?
Authors: Das Arindam 
Published: January 2022

PurposeA key characteristic for a family firm, preservation of socioemotional wealth, may appear to be at conflict with the concept of organizational diversity. The authors investigate how organizational diversity, captured through heterogeneity in ownership structure, diversity in the senior management team, interfaces with the concept of the socioemotional wealth of family businesses in an emerging economy, when these firms pursue inorganic growth strategies.Design/methodology/approachDrawing on the concepts of socioemotional wealth, behavioral agency theory and bifurcation bias, the authors develop perspectives on how ownership structure, family influence in executive management and institutional shareholding influence a family firm's internationalization strategies captured through propensity to pursue cross-border M&A – an activity that may threaten the preservation of socioemotional wealth. The authors also explore the role of business group affiliation, another organizational diversity construct, and contingent parameters like past financial performance and export intensity in this study. The authors take pooled data over 15 years, involving 346 large firms from India, which are family-controlled, to carry out the study.FindingsThe authors’ empirical analysis shows that family stake in the company and family members' presence in the executive team negatively influence the propensity to pursue cross-border M&A activities. A firm's affiliation to a business group moderates these negative relationships. On the other hand, the presence of institutional shareholders, positive past financial performance and export intensity positively influence cross-border M&A propensity.Originality/valueThe results establish that family businesses' attempts to preserve socioemotional wealth may come at the cost of promoting organizational diversity.