bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perioperative Delta Sodium and Post–Liver Transplant Neurological Complications in Liver Transplant Recipients
Authors: Berry Kacey , Copeland Timothy , Ku Elaine , Lai Jennifer C. 
Published: March 2022

Background.
Hyponatremia before liver transplant (LT) increases risk of post-LT neurological complications in patients with decompensated cirrhosis, but it is unknown to what extent change in sodium from pre- to post-LT influences risk of central nervous system (CNS) sequelae. We assessed the relationship between pre- to post-LT delta sodium and prevalence of CNS complications during LT hospitalization.

Methods.
We performed retrospective single-center chart review of 1265 adults with cirrhosis who underwent LT (2011–2020). Delta sodium is defined as the difference between  maximum sodium within 48 h post-LT and lowest sodium within 7 d pre-LT. Primary outcomes are post-LT CNS events during same hospitalization—encephalopathy, delirium, seizure, coma, osmotic demyelination syndrome, or other altered mental status, determined by International Classification of Diseases codes. Secondary outcome is length of hospital stay post-LT (LOS). Logistic regression modeled association between delta sodium and post-LT CNS outcomes; negative binomial regression modeled LOS.

Results.
Median age was 59 y, 36% were female, and median Model for End-Stage Liver Disease score was 20. Median delta sodium was 8 mmol/L (interquartile range, 5–11). One hundred ninety-four (15%) experienced post-LT CNS complications. In multivariable analysis, controlling for confounders including pre-LT hyponatremia, every 5 mmol/L increase in delta sodium associated with 47% greater odds of CNS complication (95% confidence interval, 22%-77%). Delta sodium also associated with 7% increased LOS in adjusted regression (95% confidence interval, 3%-12%).

Conclusions.
Adult LT recipients with higher perioperative delta sodium shifts displayed a higher risk of post-LT CNS complications, even after adjusting for pre-LT sodium. LT recipients, even those with pre-LT hyponatremia, may benefit from maintenance of stable serum sodium levels to minimize post-LT CNS complications.
Elevated human impact on islands increases the introduction and extinction status of native insular reptiles
Authors: Jesse Wendy A.M. , Ellers Jacintha , Behm Jocelyn E. , Costa Gabriel C. , Hedges S. Blair , Helmus Matthew R. 
Published: March 2022

AbstractSpecies ranges are changing in the Anthropocene, the ranges of introduced species are expanding, while extinction-prone species are contracting. Introductions and extinctions are both caused by how species respond to human impacts, but it is unknown why the ranges of some species expand and some contract. Here, we test that this opposite response of human impact is due to introduced and extinction-prone species falling at opposite ends of geographic, evolutionary, or ecological trait continua. We constructed a database of native range maps, traits, phylogenetic relationships, and the introduction and extinction-prone status of squamate reptiles with ranges native to the Western Hemisphere. Across >3,000 snake and lizard species (88% of known native squamates), 142 had been introduced elsewhere and 483 were extinction-prone (i.e., extinct, vulnerable, threatened). To explain variation in status, we first tested if the same human-impacted regions in the Americas contained the native ranges of species of either status. Second, we tested for phylogenetic signal in species status. Finally, we tested the explanatory power of multiple trait continua. The native ranges of introduced and extinction-prone reptiles were clustered in island regions with high human impact vs. mainland regions with lower human impact. Phylogenetic signal was weak for status, but introduced and extinction-prone species were clustered in different clades. All geographic and ecological traits that explained both statuses supported the opposite ends hypothesis. Introduced species had larger, edgier ranges, while extinction-prone species had smaller, simpler ranges. Introduced species were mostly herbivorous/omnivorous, while extinction-prone species were mostly carnivorous. Introduced species produced larger clutches, while extinction-prone species were smaller in body size. In the Anthropocene, the naive ranges of introduced and extinction-prone species are in the same human-impacted regions where trait continua, having opposite effects, determine whether species ranges expand or contract in the continuing face of global change.
Porous yet Dense matrices: using ice to shape collagen 3D cell culture systems with increased physiological relevance
Authors: Parisi Cleo , Thiébot Bénédicte , Mosser Gervaise , Trichet Léa , Manivet Philippe , Fernandes Francisco M. 
Published: March 2022

ABSTRACTStandardin vitrocell culture is one of the pillars of biomedical science. However, there is increasing evidence that 2D systems provide biological responses that are often in disagreement within vivoobservations, partially due to limitations in reproducing the native cellular microenvironment. 3D materials that are able to mimic the native cellular microenvironment to a greater extent tackle these limitations. Here, we report Porous yet Dense (PyD) type I collagen materials obtained by ice-templating followed by topotactic fibrillogenesis. These materials combine extensive macroporosity, favouring the cell migration and nutrients exchange, as well as dense collagen walls, which mimic locally the Extracellular Matrix. When seeded with Normal Human Dermal Fibroblasts (NHDFs), PyD matrices allow for a faster and more extensive colonisation when compared with equivalent Non-Porous matrices. The textural properties of the PyD materials also impact cytoskeletal and nuclear 3D morphometric parameters. Due to the effectiveness in creating a biomimetic 3D environment for NHDFs and the ability to promote cell culture for more than 28 days without subculture, we anticipate that PyD materials could configure an important step towardsin vitrosystems applicable to other cell types and with higher physiological relevance.
Antiviral State of CD1c+ cDC contributes to Increased Maturation and Activation of Cytotoxic Natural Killer cells in Sjögren’s Syndrome
Authors: Sánchez-Cerrillo I , Calvet-Mirabent M , Triguero-Martínez A , Calzada-Fraile D , Delgado-Arévalo C , Valdivia-Mazeyra M , Ramírez-Huesca M , Vázquez de Luis E , Benguría-Filippini A , Moreno-Vellisca R , Adrados de Llano M , de la Fuente H , Tsukalov Ilya , Roy-Vallejo E , Ramiro A , Sánchez-Madrid F , Dopazo A , González Álvaro I , Castañeda S , Martin-Gayo E 
Published: March 2022

ABSTRACTObjectivePrimary Sjögren’s syndrome (pSS) is an inflammatory autoimmune disorder characterized by damage of exocrine glands and linked to IFN responses and the induction of autoreactive adaptive immune cells. However, the role of innate immune cells in pSS pathology remains understudied.MethodsWe studied differential phenotypical characteristics of different NK cell, conventional dendritic cell (cDC) and monocyte subsets in the blood and salivary glands from pSS individuals. Transcriptional patterns of circulating cDC and Mo from pSS and healthy controls were also compared. Finally, in vivo alterations in these cell populations in the salivary gland were investigated in a mouse model.ResultsHere, we identified CD16+ CD56hi NK cells enriched in pSS patients which associates with higher natural cytotoxic function and increased proportions of circulating CD64+ CD1c+ cDC exhibiting antiviral transcriptional IFN signatures. CD64hi cDC and NK cell were detected infiltrated into the salivary glands from pSS patients and a murine SS model. CD1c+ cDC from patients with pSS expressed high levels of ligands for activating NK receptors and increased ability to activate NK cells ex vivo. Finally, the antiviral RIG-I and DDX60 sensors regulated the expression of NK cell receptor ligands on CD1c+ cDC.ConclusionsTherefore, the interplay of CD1c+ cDCs and NK cells could contribute to pSS pathology.
Estimating Cuff-less Continuous Blood Pressure from Fingertip Photoplethysmogram Signals with Deep Neural Network Model
Authors: Chen Yu 
Published: March 2022

AbstractObjectiveBlood pressure (BP) is an important physiological index reflecting cardiovascular function. Continuous blood pressure monitoring helps to reduce the prevalence and mortality of cardiovascular diseases. In this study, we aim to estimate systolic blood pressure (SBP) and diastolic blood pressure (DBP) values continuously based on fingertip photoplethysmogram (PPG) waveforms using deep neural network models.MethodsTwo models were proposed and both models consisted of three stages. The only difference between them was the method of extracting features from PPG signals in the first stage. Model 1 adopted Bidirectional Long Short-Term Memory (BiLSTM), while the other used convolutional neural network. Then, the residual connection was applied to multiple stacked LSTM layers in the second stage, following by the third stage with two fully connected layers.ResultsOur proposed models outperformed other methods based on similar dataset or framework, while in our proposed models, the model 2 was superior to model 1. It satisfied the standard of Association for the Advancement of the Medical Instrumentation (AAMI) and obtained grade A for SBP and DBP estimation according to the British Hypertension Society (BHS) standard. The mean error (ME) and standard deviation (STD) for SBP and DBP estimations were 0.21 ± 6.40 mmHg and 0.19 ±4.71 mmHg, respectively.ConclusionOur proposed models could extract important features of fingertip PPG waveforms automatically and realize cuff-less continuous BP monitoring, which can be helpful in the identification and early treatment of abnormal blood pressure, thus may reduce the occurrence of cardiovascular malignant events.
Base editing derived models of human WDR34 and WDR60 disease alleles replicate retrograde IFT and hedgehog signaling defects and suggest disturbed Golgi protein transport
Authors: Antony Dinu , Güleç Elif Yýlmaz , Bakey Zeineb , Schüle Isabel , Kim Gwang-Jin , Skatulla Ilona , Brunner Han G. , Arnold Sebastian J. , Schmidts Miriam 
Published: March 2022

AbstractCytoplasmic Dynein-2 or IFT-dynein is the only known retrograde motor for intraflagellar transport, enabling protein trafficking from the ciliary tip to the base. Dysfunction of WDR34 and WDR60, the two intermediate chains of this complex, causes Short Rib Thoracic Dystrophy (SRTD), human skeletal chondrodysplasias with high lethality. Complete loss of function of WDR34 or WDR60 is lethal in vertebrates and individuals with SRTD carry at least one putative hypomorphic missense allele. Gene knockout is therefore not suitable to study the effect of these human missense disease alleles.Using CRISPR single base editors, we recreated three different patient missense alleles in cilia-APEX-IMCD3 cells. Consistent with previous findings in dynein-2 full loss of function models and patient fibroblasts, mutant cell lines showed hedgehog signaling defects as well as disturbed retrograde IFT. Transcriptomics analysis revealed differentially regulated expression of genes associated with various biological processes, including G-protein-coupled receptor signaling as well extracellular matrix composition, endochondral bone growth and chondrocyte development. Further, we also observed differential regulation of genes associated with Golgi intracellular transport, including downregulation of Rab6b, a GTPase involved in Golgi-ER retrograde protein trafficking and interacting with components of cytoplasmic dynein-1, in mutant ciliated and non-ciliated clones compared to controls. In addition to providing cellular model systems enabling investigations of the effect of human SRTD disease alleles, our findings indicate non-ciliary functions for WDR34 and WDR60 in addition to the established roles as components of the retrograde IFT motor complex in cilia.
Structural basis for ultrapotent neutralization of human metapneumovirus
Authors: Banerjee Avik , Huang Jiachen , Rush Scott A. , Murray Jackelyn , Gingerich Aaron D. , Royer Fredejah , Hsieh Ching-Lin , Tripp Ralph A. , McLellan Jason S. , Mousa Jarrod J. 
Published: March 2022

AbstractHuman metapneumovirus (hMPV) is a leading cause of morbidity and hospitalization among children worldwide, however, no vaccines or therapeutics are currently available for hMPV disease prevention and treatment. The hMPV fusion (F) protein is the sole target of neutralizing antibodies. To map the immunodominant epitopes on the hMPV F protein, we isolated a panel of human monoclonal antibodies (mAbs), and the mAbs were assessed for binding avidity, neutralization potency, and epitope specificity. We found the majority of the mAbs target diverse epitopes on the hMPV F protein, and we discovered multiple mAb binding approaches for antigenic site III. The most potent mAb, MPV467, which had picomolar potency, was examined in prophylactic and therapeutic mouse challenge studies, and MPV467 limited virus replication in mouse lungs when administered 24 hrs before or 72 hrs after viral infection. We determined the structure of MPV467 in complex with the hMPV F protein using cryo-electron microscopy to a resolution of 3.3 Å, which revealed a complex novel prefusion-specific epitope overlapping antigenic sites II and V on a single protomer. Overall, our data reveal new insights into the immunodominant antigenic epitopes on the hMPV F protein, identify a new mAb therapy for hMPV F disease prevention and treatment, and provide the discovery of a unique pre-fusion-specific epitope on the hMPV F protein.
Modelling the factors in the adoption of artificial intelligence in Indian management institutes
Authors: Shant Priya Samant , Jain Vineet , Priya Meenu Shant , Dixit Sushil Kumar , Joshi Gaurav 
Published: March 2022

Purpose
This study aims to examine which organisational and other factors can facilitate the adoption of artificial intelligence (AI) in Indian management institutes and their interrelationship.

Design/methodology/approach
To determine the factors influencing AI adoption, a synthesis-based examination of the literature was used. The interpretative structural modelling (ISM) method is used to determine the most effective factors among the identified ones and the inter-relationship among the factors, while the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is used to analyse the cause-and-effect relationships among the factors in a quantitative manner. The approaches used in the analysis aid in understanding the relationship among the factors affecting AI adoption in management institutes of India.

Findings
This study concludes that leadership support plays the most significant role in the adoption of AI in Indian management institutes. The results from the DEMATEL analysis also confirmed the findings from the ISM and Matrice d’ Impacts croises- multiplication applique and classment (MICMAC) analyses. Remarkably, no linkage factor (unstable one) was reported in the research. Leadership support, technological context, financial consideration, organizational context and human resource readiness are reported as independent factors.

Practical implications
This study provides a listing of the important factors affecting the adoption of AI in Indian management institutes with their structural relationships. The findings provide a deeper insight about AI adoption. The study's societal implications include the delivery of better outcomes by Indian management institutes.

Originality/value
According to the authors, this study is a one-of-a-kind effort that involves the synthesis of several validated models and frameworks and uncovers the key elements and their connections in the adoption of AI in Indian management institutes.
Sugar-energy bioelectricity in energy trading environments: reasons for the lack of competitiveness
Authors: Ferraresi de Araujo Geraldo Jose , Ronquim Filho Adhemar , Cezarino Luciana Oranges , Liboni Lara Bartocci 
Published: March 2022

Purpose
Renewables such as sugar-energy biomass can contribute to national electrical security, job creation and mitigation of greenhouse gas emissions. However, after the auction of reserve energy, in 2008, exclusive biomass, in the regulated contracting environment (RCE), the authors observe that this energy environment has lost competitiveness in the auctions. Thus, a study on the present theme is justified, based on the problem: What are the reasons for the lack of competitiveness of sugar-energy bioelectricity in the Auctions of the RCE of the National Electric Energy Agency? The purpose of this study is to understand the situation of sugar-energy bioelectricity in the Brazilian market.

Design/methodology/approach
Literature review was conducted through the Scientific Electronic Library Online database, as well as the survey of primary documents at Sugarcane Industry Union and Electric Energy Trading Chamber.

Findings
The reasons for lack of competitiveness in RCE electricity auctions are: distant location of transmission lines; difficulties in obtaining licensing; delay in responses from environmental agencies; difficulties in securing financing for electricity generation projects for distilleries; non-pricing of positive environmental externalities as adequate disposal of waste; and the non-recovery of the cost of retrofit of the plants. The present situation may create economic, social and ecological circumstances adverse for Brazilian development, such as a lack of employment and income generation, loss of international currencies from imports of technologies not developed and produced in the country and more significant inefficiency greenhouse gas mitigation.

Originality/value
The originality of this study is in the contribution to the scarce literature on the understanding of the reasons for the lack of competitiveness of the Brazilian sugarcane sector in auctions of the regulated energy environment, based on SWOT analysis and, based on this understanding, to propose solutions for the expansion of this important matrix energy.
Investigation on wear of biopolymer parts produced by 3D printing in lubricated sliding conditions
Authors: Zagorski Mihail , Todorov Georgi , Nikolov Nikolay , Sofronov Yavor , Kandeva Mara 
Published: March 2022

Purpose
The purpose of this study is to investigate the influence of the printing temperature on several tribological parameters.

Design/methodology/approach
Polylactic acid (PLA) samples are produced at different printing temperatures. Results for the influence of the printing temperature on linear wear, wear intensity, wear resistance, roughness and microhardness in condition of reverse sliding friction of tribosystems with two different types of counterbodies were obtained.

Findings
In view of the experiments performed and a thorough analysis of the data obtained, it can be concluded that the printing temperature of PLA parts is directly related to their wear resistance – the higher the printing temperature, the greater the wear resistance, i.e. when making PLA machinery elements (which are working under conditions of friction and wear, e.g. gears, plain bearings and so on), it is appropriate to print them at a higher temperature.

Originality/value
To the best of the authors’ knowledge, the topic of this study is original and essential for future developments.
Effectiveness of virtual reality technologies in digital entrepreneurship: a comparative study of two types of virtual agents
Authors: Ben Saad Sihem , Choura Fatma 
Published: March 2022

Purpose
The rapid progress of information and communication technologies enables business creators to access a wide variety of tools. These tools facilitate electronic exchanges and interactions with customers and companies. The purpose of this study is to test and compare the effectiveness of two virtual reality technologies, the avatar and anthropomorphic virtual agents, on consumers’ psychological states and perceived realism.

Design/methodology/approach
An experimental survey was conducted to measure the potential superiority of the anthropomorphic virtual agent over the avatar and to identify the determining characteristics of the anthropomorphic virtual agent’s effectiveness. An experimental website was designed for the purpose of the study. A total of 1,262 internet users participated in the experiment.

Findings
Results confirm the superiority of the anthropomorphic virtual agent over the avatar in affecting consumers’ flow state, telepresence experience and perceived realism. These findings can be explained by the humanized characteristics of this type of agent (i.e. verbal and nonverbal language).

Originality/value
The originality of this research lies in the study of different forms of social interactivity. This latter has been little studied and essentially treated with a dichotomous perspective (presence/absence of a virtual agent). New trends in digital marketing challenge entrepreneurs to be proactive and to anticipate customers’ behavior on their online stores. That is why, virtual reality technologies, namely, anthropomorphic agents, can be considered as a relevant tool to engage in efficient inbound marketing strategies. Today, the development of intelligent technologies encourages entrepreneurs operating online to design more interactive, realistic and humanized virtual merchant environments that are more adapted to the realities of the new consumption trends and environment.
The intelligent academic library: review of AI projects & potential for Caribbean libraries
Authors: Duncan Adrian St. Patrick 
Published: March 2022

Purpose
The purpose of this paper is to propose the use of artificial intelligence (AI) in aspects of Caribbean academic libraries for greater levels of efficacy as well as overall widespread reach and access. This paper will further emphasize the importance of AI in fostering a smooth workforce, reducing opportunities for error, while maximizing on resource output for Caribbean academic libraries.

Design/methodology/approach
Through an extensive literature and content analysis, the research assessed various literatures from across the world, in wide ranging sectors, to attest to the plausibility of AI implementation in Caribbean academic libraries.

Findings
Revealing the possibilities for fostering great levels of efficacy as well as saves time and reduces the possibility for inefficiencies in the system through smoother check in and out as well as more accountability.[AQ3]

Research limitations/implications
This research focused primarily on proposing the use of AI in the daily operations of the academic library. It further attested to the implementations and application efficacy for intelligent academic libraries.

Originality/value
To the best of the authors’ knowledge, this is the first study of the kind for Caribbean academic libraries and brought light to the fact that presently academic libraries can benefit from greater levels of efficacy and accuracy through the careful employment of AI in certain key areas in academic libraries. This study further reports about the impact of AI on academic libraries.