bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identifying cardiac actinin interactomes reveals sarcomere crosstalk with RNA-binding proteins
Authors: Ladha Feria A. , Thakar Ketan , Pettinato Anthony M. , Legere Nicholas , Cohn Rachel , Romano Robert , Meredith Emily , Chen Yu-Sheng , Hinson J. Travis 
Published: March 2020

AbstractRationaleActinins are actin cross-linkers that are ubiquitously expressed and harbor mutations in heritable diseases. The predominant cardiac actinin is encoded byACTN2, which is a core structural component of the sarcomere Z-disk. ACTN2 is required for sarcomere function through complex interactions with proteins involved in sarcomere assembly, cell signaling and transcriptional regulation. However, there remain critical gaps in our knowledge of the complete and dynamic cardiac actinin interactome, which could reveal new insights into sarcomere biology.ObjectiveWe sought to examine the cardiac actinin interactome through sarcomere assembly in human cardiomyocytes.Methods and ResultsWe utilized CRISPR/Cas9, induced pluripotent stem cell technology and BioID to reveal cardiac actinin protein interactions in human cardiomyocytes. We identified 324 cardiac actinin proximity partners, analyzed networks, and studied interactome changes associated with sarcomere assembly. We focused additional studies on unexpected actinin interactions with effectors with RNA-binding functions. Using RNA immunoprecipitation followed by sequencing, we determined that RNA-binding partners uncovered by actinin BioID were bound to gene transcripts with electron transport chain and mitochondrial biogenesis functions. Mammalian two-hybrid studies established that IGF2BP2, an RNA-binding protein associated with type 2 diabetes, directly interacted with the rod domain of actinin through its K Homology domain. IGF2BP2 was necessary for electron transport chain transcript localization to vicinal RNA-binding proteins, mitochondrial mass and oxidative metabolism. IGF2BP2 knockdown also impaired sarcomere function in a cardiac microtissue assay.ConclusionsThis study expands our functional knowledge of cardiac actinin, uncovers new sarcomere interaction partners including those regulated by sarcomere assembly, and reveals sarcomere crosstalk with RNA-binding proteins including IGF2BP2 that are important for metabolic functions.
Binding affinities of oxytocin, vasopressin, and Manning Compound at oxytocin and V1a receptors in Syrian hamster brains
Authors: Taylor Jack H , McCann Katharine E , Ross Amy P , Albers H Elliott 
Published: March 2020

ABSTRACTOxytocin (OT) and arginine vasopressin (AVP), as well as synthetic ligands targeting their receptors (OTR, V1aR), are used in a wide variety of research contexts, but typically their pharmacological properties are determined in only a few species. Syrian hamsters (Mesocricetus auratus) have a long history of use as a behavioral and biomedical model for the study of oxytocin and vasopressin, and more recently, hamsters have been used to investigate behavioral consequences of OT-mediated activation of V1aRs. We sought to determine the binding affinities of OT, AVP, and the selective V1aR antagonist, Manning compound, in OTRs and V1aRs found in hamster brains. We performed saturation binding asays to determine the Kd values for the selective OTR and V1aR radioligands, [125I]OVTA and [125I]LVA in hamster brains. We then performed competition binding assays to determine Ki values for OT, AVP, and Manning compond at both the OTR and V1aR. We found that OT and AVP each had the highest affinity for their canonical receptors (OT-OTR Ki=4.28 nM; AVP-V1ar Ki=4.70 nM), and had the lowest affinity for their non-canonical ligands (OT-V1aR=495.2nM; AVP-OTR Ki=36.1 nM). Manning compound had the highest affinity for the V1aR (MC-V1aR Ki=6.87 nM; MC-OTR Ki=213.8 nM), but Manning compound was not as selective for the V1aR as has been reported in rat receptor. When comparing these data to previously published work, we found that the promiscuity of the V1aR in hamsters with respect to oxytocin and vasopressin binding is more similar to the promiscuity of the human V1aR than the rat V1aR receptor. Moreover, the selectivity of oxytocin at hamster receptors is more similar to the selectivity of oxytocin at human receptors than the selectivity of oxytocin at rat receptors. These data highlight the importance of determining the pharmacological properties of behaviorally relevant compounds in diverse models species.
Loss of mu and delta opioid receptors on neurons expressing dopamine receptor D1 has no effect on reward sensitivity
Authors: Harda Zofia , Spyrka Jadwiga , Jastrzębska Kamila , Szumiec Łukasz , Bryksa Anna , Klimczak Marta , Polaszek Maria , Gołda Sławomir , Zajdel Joanna , Błasiak Anna , Parkitna Jan Rodriguez 
Published: March 2020

AbstractOpioid signaling controls the activity of the brain’s reward system. It is involved in signaling the hedonic effects of rewards and also has essential roles in reinforcement and motivational processes. Here, we focused on opioid signaling through mu and delta receptors on dopaminoceptive neurons and evaluated the role these receptors play in reward-driven behaviors. We generated a genetically modified mouse with selective double knockdown of mu and delta opioid receptors in neurons expressing dopamine receptor D1. Selective expression of the transgene was confirmed using immunostaining. Knockdown was validated by measuring the effects of selective opioid receptor agonists on neuronal membrane currents using whole-cell patch clamp recordings. We found that in the nucleus accumbens of control mice, the majority of dopamine receptor D1-expressing neurons were sensitive to a mu or delta opioid agonist. In mutant mice, the response to the delta receptor agonist was blocked, while the effects of the mu agonist were strongly attenuated. Behaviorally, the mice had no obvious impairments. The mutation did not affect sensitivity to the rewarding effects of morphine injections or social contact and had no effect on preference for sweet taste. Knockdown had a moderate effect on motor activity in some of the tests performed, but this effect did not reach statistical significance. Thus, we found that knocking down mu and delta receptors on dopamine receptor D1-expressing cells does not appreciably affect reward-driven behaviors.Highlights–It is well accepted that opioid signaling controls the brain’s reward system–We generated mutant mice with mu and delta receptor knockdown in D1 neurons–Knockdown made dopaminoceptive neurons insensitive to mu and delta opioid receptor agonists–The mutation did not cause obvious behavioral impairments–The loss of mu and delta receptors on D1 neurons does not affect reward sensitivity
The onset and offset of noxious stimuli robustly modulate perceived pain intensity
Authors: Alter Benedict J. , Aung Mya Sandi , Strigo Irina A. , Fields Howard L. 
Published: March 2020

AbstractReported pain intensity depends not only on stimulus intensity but also on previously experienced pain. A painfully hot temperature applied to the skin evokes a lower subjective pain intensity if immediately preceded by a higher temperature, a phenomenon called offset analgesia. This is typically evoked using a three-step noxious heat stimulus. In other clinical and laboratory settings, prior pain experience may increase pain intensity as well. Therefore, we hypothesized that even small increases in stimulus intensity within the noxious range would be accompanied by enhanced reported pain intensity. To test this possibility, we inverted the intensity order of the three-step stimulus, so that the same hot temperature is immediately preceded by an increase from a transiently lowered temperature. Using healthy volunteer subjects, we observed a disproportionate increase in pain intensity during the novel, inverted, three-step stimulus. This disproportionate increase is similar in magnitude to that of offset analgesia. Control stimuli demonstrate that these changes in pain intensity are distinct from habituation. The magnitudes of offset analgesia and the disproportionate increase in pain intensity correlate with each other but not with the absolute noxious stimulus temperature. These observations suggest that the disproportionate increase in pain intensity represents an “onset hyperalgesia.” Finally, the magnitude of both offset analgesia and onset hyperalgesia depends on preceding temperature changes. Overall, this study finds that perceptual enhancement of noxious stimulus change occurs bidirectionally and that this depends on the intensity and direction of change of the immediately preceding stimulus.
Prospective evaluation of renal function in dogs with chronic mitral valve disease
Authors: Martinelli Elisa , Crosara Serena , Locatelli Chiara , Zanaboni Anna Maria , Brambilla Paola , Quintavalla Cecilia 
Published: March 2020

AbstractThe coexistence of renal and cardiac disease has been defined in dogs and cats as cardiovascular-renal disorders (CvRD). In humans, renal function is affected by recurrent episodes of acute congestive heart failure (CHF). The aim of this prospective, case-control study was to evaluate the appearance and influence of worsening cardiac disease (WCD), defined on echocardiographic and radiographic parameters, on renal function (defined as worsening renal function [WRF], on the basis of serum creatinine level and presence of proteinuria) in two population: 21 dogs with chronic mitral valve disease (CMVD) and 20 healthy dogs. Dogs were sorted into groups according to the presence/absence of WRF or WCD. Statistical analysis was performed between CMVD dogs and healthy dogs and inside the CMVD dogs group. There was no statistically significant difference in developing WRF between dogs with/without WCD and no statistical evidence to support a difference in WRF parameters in dogs experiencing CHF and dogs not experiencing it. The prevalence of azotemia in CMVD dogs was significantly higher than the prevalence of azotemia previously reported in the general population of dogs. Diuretics therapy didn’t affect renal function. No difference in survival time was seen between groups. In conclusion, CHF, WCD and diuretics therapy didn’t directly induce WRF. However, considering the prevalence of azotemia, data suggests a link between heart and kidney function (despite we didn’t excluded aged-related coexistence of organ damage). A bigger number of dogs at inclusion is required to reach statistical significance.
Incidence and susceptibility patterns of urine bacterial flora in young females
Authors: Shami Ashwag , Al-Mijalli Samiah , Somily Ali , Albarakaty Fawziah M. , AbduRahim Samah Awad 
Published: March 2020

AbstractBackgroundIt has been established that the urinary tract is not sterile, however, research related to the study of urine bacteria are limited. Our work aims to study the frequency and patterns of resistance of normal urinary aerobic bacterial flora.MethodsClean catch midstream urine specimens were collected from 120 young healthy females, and then cultured. Identification of bacteria and antimicrobial susceptibility were done by means of Biomérieux VITEK® 2 automated systems. Subjects who have undergone antimicrobial treatment in one month weren’t included.ResultsThe incidence of positive bacterial cultures was 54.2%, of which 21.5% were ploymicrobial. 107 bacterial isolates that encompass 12 genera and 27 species that were predominated by Gram-positive bacteria (72%) were cultivated. Staphylococcaceae (46.1%) and Enterobacteriaceae (17.8%) were the most frequently isolates among Gram positive and Gram negative bacteria respectively, from them 36 species have been identified as b lactamase producers. The top four frequently isolated bacteria are Micrococcus species (16%),Staphylococcus haemolyticus(13.2%),Staphylococcus aureus(10%), andKlebsiella pneumoniae(10%). Twenty two bacterial species were subjected to antimicrobial susceptibility testing by using broad and narrow spectrum antibiotics and antimicrobials. Ampicillin showed the lowest susceptibility rate against Gram positives, followed by erythromycin and azithromycin. The lesser antimicrobial susceptibility potential among Gram negative bacteria was exhibited against ampicillin, followed by piperacillin and cefotaxime.ConclusionOur findings emphasize the importance of highlighting urine bacterial flora in research especially those related to susceptibility patterns, employing more advanced culture methods as multiple drug resistant bacteria were isolated.
An interference discrimination method for assembly sequence planning and assembly simulation
Authors: Zhang Wenlei , Ma Mingxu , Li Haiyan , Yu Jiapeng , Zhang Zhenwei 
Published: March 2020

Purpose
The purpose of this paper is to discriminate fake interference caused by polygonal approximation so as to achieve accurate assembly sequence planning and assembly simulation.

Design/methodology/approach
An approximation zone model is proposed to formulate polygonal approximation. Fake interference is discriminated from hard interference by evaluating if polygonal models intersect within corresponding approximation zones. To reduce the computation, the surface-surface, surface-end face and end face-end face intersection test methods have been developed to evaluate the intersection and obtain collision data. An updated collision detection algorithm with this method is presented, which is implemented by a system named AutoAssem.

Findings
This method has been applied to a set of products such as a valve for assembly interference matrix generation, static and dynamic collision detection. The results show that it ensures the accuracy of assembly sequence planning and assembly simulation for polygonal models.

Practical implications
This method facilitates assembly design in the virtual environment with polygonal models. It can also be applied to computer aided design systems to achieve quick and accurate collision detection.

Originality/value
Fake interference between polygonal models may result in serious errors in assembly sequence planning and assembly simulation. Assembly zone model and novel polygon intersection verification methods have been proposed to effectively tackle this problem. Compared to current methods, this method considers valid penetration direction and approximation difference, does not need to process complicated auxiliary data and can be easily integrated with current collision detection methods.
A multi-fiber approach with directional stiffness matrix in reinforced concrete structures
Authors: Yousefi Behrooz , Esfahani Mohammad Reza , Tavakkolizadeh Mohammadreza 
Published: March 2020

Purpose
This paper aims to develop a new multi-fiber element for predicting the structural behavior of planar-reinforced concrete (RC) members.

Design/methodology/approach
In this work, an exact multi-directional stiffness matrix is analytically derived based on the post-cracking bond-slip interaction between concrete and steel bars. The approach is also extended for large displacement analysis using Green–Lagrange finite strain tensor. In the proposed formulation, the weak form of governed differential equations is approximated by a trial-function expansion based on a finite strain-description and an additional degree of freedom for steel bars.

Findings
The findings provide a realistic description of cracking in the concrete structure. Numerical studies are conducted to examine the accuracy of the suggested approach and its capability to predict fairly complex responses of RC models. The findings prove that the proposed element can evaluate local and global responses of RC members, and it can be used as a reliable tool to reflect bond-slip effects in large displacement level. This leads to a robust and precise model for non-linear analysis of RC structures.

Originality/value
The methodology is capable of simulating coupled inelastic shear-flexural behavior of RC members through local stress field theory and Timoshenko beam model.
Emotion, memory and re-collective value: shared festival experiences
Authors: Wood Emma Harriet , Kinnunen Maarit 
Published: March 2020

Purpose
This study aims to explore how emotionally rich collective experiences create lasting, shareable memories, which influence future behaviours. In particular, the role of others and of music in creating value through memories is considered using the concept of socially extended emotions.

Design/methodology/approach
Over 250 narratives were gathered from festival attendees in the UK and Finland. Respondents completed a writing task detailing their most vivid memories, what made them memorable, their feelings at the time and as they remembered them, and how they shared them. The narratives were then analysed thematically.

Findings
Collective emotion continues to be co-created long after the experience through memory-sharing. The music listened to is woven through this extension of the experience but is, surprisingly, not a critical part of it. The sociality of the experience is remembered most and was key to the memories shared afterwards. The added value of gathering memorable moments, and being able to share them with others, is clearly evidenced.

Practical implications
The study highlights the importance of designing events to create collective emotional moments that form lasting memories. This emphasizes the role of post-experience marketing and customer relationship building to enhance the value that is created customer-to-customer via memory sharing.

Originality/value
The research addresses the lack of literature exploring post-event experience journeys and the collective nature of these. It also deepens a theoretical understanding of the role of time and sociality in the co-creation and extension of emotions and their value in hospitality consumption. A model is proposed to guide future research.
Entrepreneurial opportunity recognition in the face of disasters
Authors: Gur Furkan Amil , Bendickson Joshua S. , Madden Laura , McDowell William C. 
Published: March 2020

PurposeDisasters drastically affect regional industries; consequently, the study of regional resilience is of much interest to organizational researchers. To that end, this study examines the role of entrepreneurial opportunity recognition, stakeholder engagement, and elements of psychological recovery in the US Gulf Coast following the Deepwater Horizon oil spill of 2010.Design/methodology/approachThrough a qualitative content analysis of 183 industry-relevant articles published during and after the disaster, this study unpacks the most significant themes at work in the recovery process, including the psychological elements of the oil spill and its aftermath, the role of various internal and external stakeholders, and emerging opportunities for entrepreneurial activity in the region for regional resilience and recovery.FindingsThe nine themes that emerged from the data were captured in three categories mapped over time. Category one, psychogical states during and after the oil spill, include denial, coping, and recovery. Category two, regional recovery efforts and the role of stakeholders, includes the themes distractions, bargains, and material support. Category three, emerging opportunities, includes financial support, new markets, and reparations.Originality/valueBy mapping these themes over distinct time periods, this study identifies and explores patterns in the recovery period and use them to draw theoretical and practical implications.
How do investors behave in the context of a market crash? Evidence from India
Authors: Mushinada Venkata Narasimha Chary 
Published: March 2020

PurposeThe main aim of this paper is to empirically test at market level, the investors' differential reaction to information, contribution of their confidence level and adaptive behaviour to excessive market volatility in Indian stock market.Design/methodology/approachThe Bivariate Vector Autoregression and Impulse Response Analysis are used to study whether investors over/under-react to private and public information. EGARCH models are used to study the contribution of investors' over/under-confidence and adaptive behaviour to excessive market volatility.FindingsThe investors over-react to private information and under-react to public information during pre-crash period, become overconfident and contribute to excessive volatility. They under-react to both private and public information during after-crash period, become under-confident and also conform to adaptive market hypothesis (AMH).Research limitations/implicationsThe empirical results of the study can help investors to minimize the negative impact of over/under-confidence on their expected utility.Practical implicationsThe investors shall perform a post-analysis of investment, become aware of their past behavioural mistakes and start adapting to changing market conditions. This shall move the markets towards a new equilibrium in long run thus conforming AMH. However, the investors sometimes display an apparently irrational behaviour during this process.Originality/valueTo the best of the author's knowledge, this is the first study at market level data examining investors' over/under-reaction, over/under-confidence and adaptive behaviour in the context of stock market crash.
Integration of TTF and network externalities for RFID adoption in healthcare industry
Authors: Gu Vicky Ching , Black Ken 
Published: March 2020

PurposeDespite the extensive adoption of radio-frequency identification (RFID) technology across many industry supply chains, the extent of adoption in healthcare is far behind the earlier expectation. The purpose of this study is to better understand the current RFID adoption in healthcare by looking beyond the existing body of work using both the task-technology fit (TTF) framework and network externalities theories.Design/methodology/approachA survey is employed in this study, and the structural equation modeling (SEM) technique is used to test the hypotheses of the proposed model.FindingsThe findings are twofold. First, both TTF and network externalities exert a positive impact on the RFID adoption in the healthcare sector; and second, no synergistic effect can be found between these two for further increasing the adoption. This is different from what the extant research found on other technology adoptions across various supply chains.Originality/valueThis paper provides contributions to both researchers and practitioners. For researchers, this study enriches the body of knowledge of RFID adoption by being the first to apply the network externalities and TTF theories to predict the adoption of RFID in healthcare. For healthcare practitioners, to make the RFID adoption easier and more effective, any initial applications of RFID tools should be centered on those for which there is a more natural application. Further, for those who propose an RFID adoption should start with a product that has a sizable adoption community; this may help persuade senior management to make the adoption decision.