bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence and Predictors of Preoperative Anxiety in Patients With An Intracranial Supratentorial Neoplasm Undergoing Surgery
Authors: Malik Ritu , Mathew Preethy , Panda Nidhi B. , Bhagat Hemant , Gupta Aakriti , Grover Vinod K. , Mohanty Manju 
Published: November 2022

Background:
Preoperative anxiety is common among patients, particularly in neurosurgical patients. The aim of the study was to evaluate the incidence and predictive factors of preoperative anxiety using the state anxiety scale of the State-Trait Anxiety Inventory (STAI-S) among patients undergoing elective craniotomy for a supratentorial neoplasm. This study also determined the optimal Amsterdam Preoperative Anxiety and Information Scale (APAIS) score for the identification of preoperative anxiety in this cohort.

Methods:
Sixty patients aged 18 to 65 years with American Society of Anesthesiologists physical status score I/II scheduled for elective craniotomy for a supratentorial neoplasm were recruited into this prospective, observational study. Preoperative anxiety was assessed using STAI-S and APAIS questionnaires. Using STAI-S ≥37 to define preoperative anxiety, the optimal APAIS to identify preoperative anxiety was determined using receiver operating characteristic curve analysis. Logistic regression was performed to identify independent predictive factors for preoperative anxiety.

Results:
Sixty percent of patients had preoperative anxiety (STAI-S ≥37). An APAIS score of 10 identified preoperative anxiety with a sensitivity, specificity, and positive predictive value of 97%, 96%, and 97%, respectively. Right-sided tumor location (P=0.047) and need-for-information on surgery (P=0.007) were independent predictors of preoperative anxiety.

Conclusions:
Patients with supratentorial neoplasms have a high incidence of preoperative anxiety; an APAIS score of 10 is the optimal cutoff to identify anxious patients in the preoperative period. Need-for-information about surgery and right-sided tumor laterality are independent predictors of preoperative anxiety.
Reproductive phenology of the eastern oyster,Crassostrea virginica(Gmelin, 1791), along a temperate estuarine salinity gradient
Authors: Gregory Kaili M. , McFarland Katherine , Hare Matthew P. 
Published: November 2022

ABSTRACTLow salinity can negatively affect reproduction in estuarine bivalves. The spatial and temporal extent of these effects are important to inform models of population dynamics, environmental risk assessments, restoration efforts, and predictions of climate change effects. We hypothesized that oysters at low salinity sites would have delayed gametogenesis compared to their higher salinity counterparts in downstream experimental cages. The timing of gametogenesis and spawning was observed June – August for 2-year-old oysters from three distinct ancestries (Native, Hatchery, Aquaculture), outplanted at age 1 month along the salinity gradient (3–30 psu) of a temperate estuary. A second season of data was collected from 3-year-old Aquaculture oysters (comparable to year 1 data) and Native adult oysters transplanted one year prior. Dermo was very low both years. A delay in gametogenesis and spawning was observed for all ancestries at low salinity relative to higher salinity sites during July and August of the first year but not the second year. In contrast, June showed the reverse pattern with northern low salinity sites having more advanced gonad index (2.65) than a high salinity site (1.46). This difference in average gonad index was 2.65 vs 1.46, respectively, for the Native line and 2.62 vs 2.08 for Aquaculture. Low salinity seemed to not only induce earlier gametogenesis in June, but also extended the reproductive season relative to higher salinity sites. Among oyster ancestries, the Aquaculture line stood out as having 30 – 48% lower gametogenic synchrony within sites, but only in 2018. Despite some dependence of reproductive phenology on salinity variation, the Native low salinity population demonstrates notable reproductive plasticity in the completion of a reproductive cycle across a wide range of salinities, an encouraging result for potential future restoration strategies.
Organism-wide secretome mapping uncovers pathways of tissue crosstalk in exercise
Authors: Wei Wei , Riley Nicholas M. , Lyu Xuchao , Shen Xiaotao , Guo Jing , Zhao Meng , Moya-Garzon Maria Dolores , Basu Himanish , Tung Alan , Li Veronica L. , Huang Wentao , Svensson Katrin J. , Snyder Michael P. , Bertozzi Carolyn R. , Long Jonathan Z. 
Published: November 2022

SUMMARYThere has been growing interest in identifying blood-borne factors that mediate tissue crosstalk and function as molecular effectors of physical activity. Although past studies have focused on an individual molecule or cell type, the organism-wide secretome response to physical activity has not been evaluated. Here, we use a cell type-specific proteomic approach to generate a 21-cell type, 10-tissue map of exercise-regulated secretomes in mice. Our dataset identifies >200 exercise-regulated cell type-secreted protein pairs, the majority of which have not been previously reported.Pdgfra-cre-labeled secretomes were the most responsive to exercise training. Elevated lactate levels can directly regulate protein secretion. Lastly, we establish an anti-obesity and anti-diabetic role for a proteoform of an intracellular carboxylesterase whose secretion from the liver is induced by exercise training. Together, our data uncover the dynamic remodeling of cell and tissue crosstalk by physical activity.
Inclusion of database outgroups improves accuracy of fungal meta-amplicon taxonomic assignments
Authors: Rawson Clayton , Zahn Geoffrey 
Published: November 2022

ABSTRACTMeta-amplicon studies of fungal communities rely on curated databases for assigning taxonomy. Any host or other non-fungal environmental sequences that are amplified during PCR are inherently assigned taxonomy by these same databases, possibly leading to ambiguous non-fungal amplicons being assigned to fungal taxa. Here, we investigated the effects of including non-fungal outgroups in a fungal taxonomic database to aid in detecting and removing these non-target amplicons. We processed 15 publicly available fungal meta-amplicon data sets and discovered that roughly 40% of the reads from these studies were not fungal, though they were assigned asFungus sp. when using a database without non-fungal outgroups. We discuss implications for meta-amplicon studies and recommend assigning taxonomy using a database with outgroups to better detect these non-fungal amplicons.
Higher-order dissimilarity in biodiversity: Identifying dissimilarities of spatial or temporal dissimilarity structures
Authors: Nakadai Ryosuke , Fukasawa Keita , Kadoya Taku , Ishihama Fumiko 
Published: November 2022

AbstractElucidating biodiversity patterns and their background processes is critical in biodiversity science. Dissimilarity, which is calculated based on multivariate biological quantities, is a major component of biodiversity. As spatial and temporal biodiversity information availability increases, the scope of dissimilarity studies has been expanded to cover various levels and types of spatio-temporal biodiversity facets (e.g., gene, community, and ecosystem function), and diverse pairwise dissimilarity indices have been developed. However, further development of the dissimilarity concept is required in comparative studies on spatio-temporal structures of biodiversity compositional patterns, such as those exploring commonalities of biogeographical boundaries among taxa, compared to the conventional ones to consider higher dimensions of dissimilarity: dissimilarity of dissimilarity structures.This study proposes a novel and general concept, high-order dissimilarity (HOD), for quantitatively evaluating the dissimilarities of spatial or temporal dissimilarity structures among different datasets, proposes specific implementations of HOD as operational indices, and illustrates the potential resolution of scientific and practical questions through HOD.We further demonstrate the advantages of the HOD concept by applying it to actual patterns, such as long-term and/or large-spatial hypothetical monitoring datasets.Our conceptual framework on HOD extends the existing framework of biodiversity science and is versatile, with many potential applications in acquiring more valuable information from ever-increasing biodiversity data.
A fast blind source separation algorithm for decomposing ultrafast ultrasound images into spatiotemporal muscle unit kinematics
Authors: Rohlén Robin , Lundsberg Jonathan , Malesevic Nebojsa , Antfolk Christian 
Published: November 2022

AbstractObjectiveUltrasound can detect individual motor unit (MU) activity during voluntary isometric contractions based on their subtle axial displacements. The detection pipeline, currently performed offline, is based on displacement velocity images and identifying the subtle axial displacements. This identification can preferably be made through a blind source separation (BSS) algorithm with the feasibility of translating the pipeline from offline toonline. However, the question remains how to reduce the computational time for the BSS algorithm, which includes demixing tissue velocities from many different sources, e.g., the active MU displacements, arterial pulsations, bones, connective tissue, and noise.ApproachThis study proposes a fast velocity-based BSS (velBSS) algorithm suitable for online purposes that decomposes velocity images from low-force voluntary isometric contractions into spatiotemporal components associated with single MU activities. The proposed algorithm will be compared against stICA, i.e., the method used in previous papers, for various subjects, ultrasound- and EMG systems, where the latter acts as MU reference recordings.Main resultsWe found that the spatial and temporal correlation between the MU-associated components from velBSS and stICA was high (0.86 ± 0.05 and 0.87 ± 0.06). The spike-triggered averaged twitch responses (using the MU spike trains from EMG) had an extremely high correlation (0.99 ± 0.01). In addition, the computational time for velBSS was at least 50 times less than for stICA.SignificanceThe present algorithm (velBSS) outperforms the currently available method (stICA). It provides a promising translation towards an online pipeline and will be important in the continued development of this research field of functional neuromuscular imaging.
Characterization of Genomic Diversity In Bacteriophages InfectingRhodococcus
Authors: Garza Dominic R. , Di Blasi Daria , Bruns James A. , Empson Brianna , Light Isabel , Ghannam Maisam , Castillo Salvador , Quijada Britney , Zorawik Michelle , Garcia-Vedrenne Ana E. , Freise Amanda C. 
Published: November 2022

AbstractBacteriophages are globally ubiquitous viruses that infect bacteria. With nearly 4,000 sequenced genomes of phages infecting the phylum Actinobacteria available, genomic analyses of these actinobacteriophage genomes has been instrumental in uncovering a diverse genomic landscape often characterized by genome mosaicism. Here, we describe the genomic characterization of 57 sequenced phages capable of infecting the genusRhodococcus.These phages were previously isolated at multiple institutions by students in the SEA-PHAGES program using four different species ofRhodococcus.MostRhodococcusphages have been grouped into 4 clusters based on their genomic similarities; 13 phages are singletons too genetically distinct for clustering. These clusters and singletons containSiphoviridaeandMyoviridaephages, and most contain integrase and repressor genes indicative of a potential lysogenic life cycle. The genome size of these phages varies from 14,270 bp to 142,586 bp and their G+C% content ranges from 41.2–68.4%, while that of theirRhodococcushosts typically exceeds 60%. Through comparative genomic analyses, it was revealed that theseRhodococcusphages display high intracluster similarity but low intercluster similarity, despite their shared ability to infect the same host genus. Additionally, theseRhodococcusphages share similarities with phages that infect other Actinobacterial hosts such asGordonia, StreptomycesandArthrobacter.
Retinal microvascular and neuronal pathologies probedin vivoby adaptive optical two-photon fluorescence microscopy
Authors: Zhang Qinrong , Yang Yuhan , Cao Kevin J. , Chen Wei , Paidi Santosh , Xia Chun-Hong , Kramer Richard H. , Gong Xiaohua , Ji Na 
Published: November 2022

AbstractThe retina, behind the transparent optics of the eye, is the only neural tissue whose physiology and pathology can be non-invasively probed by optical microscopy. The aberrations intrinsic to the mouse eye, however, prevent high-resolution investigation of retinal structure and functionin vivo. Optimizing the design of a two-photon fluorescence microscope (2PFM) and sample preparation procedure, we found that adaptive optics (AO), by measuring and correcting ocular aberrations, is essential for resolving synapses and achieving three-dimensional cellular resolution in the mouse retinain vivo. Applying AO-2PFM to longitudinal retinal imaging in transgenic models of retinal pathology, we characterized microvascular lesions and observed microglial migration in a proliferative vascular retinopathy model, and found Lidocaine to effectively suppress retinal ganglion cell hyperactivity in a retinal degeneration model. Tracking structural and functional changes at high resolution longitudinally, AO-2PFM enables microscopic investigations of retinal pathology and pharmacology for disease diagnosis and treatmentin vivo.
A model for Scc2p Stimulation of Cohesin’s ATPase and its Inhibition by Acetylation of Smc3p
Authors: Boardman Kevin M. , Xiang Siheng , Chatterjee Fiona , Mbonu Udochi , Guacci Vincent , Koshland Douglas 
Published: November 2022

AbstractThe evolutionarily conserved cohesin complex mediates sister chromatid cohesion and facilitates mitotic chromosome condensation, DNA repair, and transcription regulation. These biological functions require cohesin’s two ATPases, formed by the Smc1p and Smc3p subunits. Cohesin’s ATPase activity is stimulated by the Scc2p auxiliary factor. This stimulation is inhibited by Eco1p acetylation of Smc3p at an interface with Scc2p. It was unclear how cohesin’s ATPase activity is stimulated by Scc2p, or how acetylation inhibits Scc2p, given that the acetylation site is distal to cohesin’s ATPase active sites. Here, we identify mutations in budding yeast that suppressed the in vivo defects caused by Smc3p acetyl-mimic and acetyl-defective mutations. We provide compelling evidence that Scc2p activation of cohesin ATPase depends upon an interface between Scc2p and a region of Smc1p proximal to cohesin’s Smc3p ATPase active site. Furthermore, substitutions at this interface increase or decrease ATPase activity to overcome ATPase modulation by acetyl-mimic and - null mutations. Using these observations and a cryo-EM structure, we propose a model for regulating cohesin ATPase activity. We suggest that Scc2p binding to Smc1p causes a shift in adjacent Smc1p residues and ATP, stimulating the Smc3p ATPase. This stimulatory shift is inhibited through acetylation of the distal Scc2p-Smc3 interface.
Adaptive neural prescribed performance control for switched pure-feedback non-linear systems with input quantization
Authors: Cao Zhongwen , Zhang Liang , Ahmad Adil M. , Alsaadi Fawaz E. , Alassafi Madini O. 
Published: November 2022

Purpose
This paper aims to investigate an adaptive prescribed performance control problem for switched pure-feedback non-linear systems with input quantization.

Design/methodology/approach
By using the semi-bounded continuous condition of non-affine functions, the controllability of the system can be guaranteed. Then, a constraint variable method is introduced to ensure that the tracking error satisfies the prescribed performance requirements. Meanwhile, to avoid the design difficulties caused by the input quantization, a non-linear decomposition method is adopted. Finally, the feasibility of the proposed control scheme is verified by a numerical simulation example.

Findings
Based on neural networks and prescribed performance control method, an adaptive neural control strategy for switched pure-feedback non-linear systems is proposed.

Originality/value
The complex deduction and non-differentiable problems of traditional prescribed performance control methods can be solved by using the proposed error transformation approach. Besides, to obtain more general results, the restrictive differentiability assumption on non-affine functions is removed.
Exploring behavioural bias affecting investment decision-making: a network cluster based conceptual analysis for future research
Authors: Bihari Anshita , Dash Manoranjan , Kar Sanjay Kumar , Muduli Kamalakanta , Kumar Anil , Luthra Sunil 
Published: November 2022

PurposeThis study systematically explores the patterns and connections in the behavioural bias and investment decisions of the existing literature in the Scopus database published between 2007 and 2022. The purpose of this paper is to address this issue.FindingsIn the article it was determined which contributed documents were the most significant in this particular subject area along with the citations, publications and nations that were associated with them. The bibliographic coupling offered more in-depth insights into the papers by organizing them into distinct groups. The pattern of the publications has been brought to light, and the connection between different types of literature has provided insight into the path that future studies should take.Research limitations/implicationsThis study considered only articles from the Scopus database. Future studies can be based on papers that have been published in other databases.Originality/valueThe outcome of this study provides valuable insights into the intellectual structure and biases of investors and adds value to existing knowledge. This review provides a road map for the future trend of research on behavioural bias and investment decisions.
An organizational digital footprint for interruption management: a data-driven approach
Authors: Kalliomäki-Levanto Tiina , Ukkonen Antti 
Published: November 2022

PurposeInterruptions are prevalent in knowledge work, and their negative consequences have driven research to find ways for interruption management. However, these means almost always leave the responsibility and burden of interruptions with individual knowledge workers. System-level approaches for interruption management, on the other hand, have the potential to reduce the burden on employees. This paper’s objective is to pave way for system-level interruption management by showing that data about factual characteristics of work can be used to identify interrupting situations.Design/methodology/approachThe authors provide a demonstration of using trace data from information and communications technology (ICT)-systems and machine learning to identify interrupting situations. They conduct a “simulation” of automated data collection by asking employees of two companies to provide information concerning situations and interruptions through weekly reports. They obtain information regarding four organizational elements: task, people, technology and structure, and employ classification trees to show that this data can be used to identify situations across which the level of interruptions differs.FindingsThe authors show that it is possible to identifying interrupting situations from trace data. During the eight-week observation period in Company A they identified seven and in Company B four different situations each having a different probability of occurrence of interruptions.Originality/valueThe authors extend employee-level interruption management to the system-level by using “task” as a bridging concept. Task is a core concept in both traditional interruption research and Leavitt's 1965 socio-technical model which allows us to connect other organizational elements (people, structure and technology) to interruptions.
Corporate sustainability commitment and cash holding: evidence from Islamic banks in Malaysia
Authors: Muhmad Siti Nurain , Mohamad Ariff Akmalia , Abd Majid Norakma , Muhamad Rusnah 
Published: November 2022

Purpose
This paper aims to examine the association between corporate sustainability commitment and cash holding and whether the board’s leadership competency moderates the association.

Design/methodology/approach
The sample consisted of Islamic banks in Malaysia from 2017 to 2019. The sustainability commitment was measured based on the dimensions of the economic, social and environment of the Sustainable Development Goals (SDG).

Findings
The sustainability commitment of the Islamic banks are low. The regression results are not supportive of the hypotheses on the association between corporate sustainability commitment and cash holding and the moderating effect of board’s leadership competency.

Research limitations/implications
The Islamic banks in Malaysia are still in their early stages to achieve the SDGs, but the trend of disclosure suggests that they are gradually embracing the commitment to sustainability practices. It is in support of the agency theory, with findings indicating greater agency cost that is perceived upon companies with greater sustainability commitments.

Originality/value
This paper integrates the dimensions of the SDG with the value-based intermediation guideline by Bank Negara Malaysia in measuring sustainability commitment of Islamic banks.
Feeling psychologically close: examining the determinants of branded app engagement
Authors: Hsieh Sara H. , Tseng Timmy H. , Lee Crystal T. 
Published: November 2022

Purpose
Enabled by pronounced advancement in technology, branded apps have dramatically changed how consumers communicate with brands. However, despite the proliferation of mobile apps, brands are struggling to engage users. Without engagement, a mobile app is unable to attract continued usage and brands are unable to establish relationships with consumers. Grounded in construal level theory, this study aims to adopt a fresh perspective to examine the determinants of psychological distance, which plays a key role in branded app engagement.

Design/methodology/approach
An online survey with valid data from 396 app users of UberEats, Foodpanda, 7-11 and FamilyMart in Taiwan was conducted.

Findings
Perceived synchronicity, localization, homophily, ease of use and design aesthetics are the key determinants that drive branded app engagement, which, in turn, facilitates continuous app usage intention, a positive brand attitude and brand loyalty.

Originality/value
This study contributes to the literature by revealing the five determinants of psychological distance that exert impacts on the establishment of branded app engagement. This research provides valuable findings that practitioners can emphasize to drive branded app engagement.