bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intelligent assembly assistance for hull structure construction based on optical projection
Authors: Zhu Yu , Yang Jun , Zhang Hongwei , Zhu Wenmin , Wang Jie , Zhou Zelin 
Published: February 2022

Purpose
Marking and inspecting are key steps in hull structure construction. However, currently most marking and inspecting operations are still carried out manually, which leads to low assembly efficiency and quality. This paper aims to solve these problems through the application of digital technology: the optical projection and machine vision.

Design/methodology/approach
First, the assembly process model of hull construction is established in 3D design environment. Second, the process information is presented to workers in a virtual form through optical projector, which provides accurate guidance for the manual operation. On this basis, the workers can complete welding and assembly operations readily. Finally, the machine vision method is used to check the assembly results, which can decrease the subjective errors.

Findings
A rapid and accurate assembly positioning for hull structure construction is realized based on optical projection, which can avoid the pollution caused by the marking machine and the error caused by human.

Originality/value
This paper combines the advantages of optical projection and machine vision to the field of shipbuilding. The shortcomings of the traditional marking and inspection methods is effectively solved, which may provide a new way for enhancing the assembly efficiency and quality.
QCA with reversible arithmetic and logic unit for nanoelectronics applications
Authors: Latha Gade Mary Swarna , Rooban S. 
Published: February 2022

PurposeIn this research work, brief quantum-dot cellular automata (QCA) concepts are discussed through arithmetic and logic units. This work is most useful for nanoelectronic applications, VLSI industry mainly depends on this type of fault-tolerant QCA based arithmetic logic unit (ALU) design. The ALU design is mainly depending on set instructions and rules; these are maintained through low-power ultra-functional tricks only possible with QCA-based reversible arithmetic and logic unit for nanoelectronics. The main objective of this investigation is to design an ultra-low power and ultra-high-speed ALU design with QCA technology. The following QCA method has been implemented through reversible logic.Design/methodology/approachQCA logic is the main and critical condition for realizing NANO-scale design that delivers considerably fast integrate module, effective performable computation and is less energy efficiency at the nano-scale (QCA). Processors need an ALU in order to process and calculate data. Fault-resistant ALU in QCA technology utilizing reverse logic is the primary objective of this study. There are now two sections, i.e. reversible ALU (RAU), logical (LAU) and arithmetical (RAU).FindingsA reversible 2 × 1 multiplexer based on the Fredkin gate (FRG) was developed to allow users to choose between arithmetic and logical operations. QCA full adders are also implemented to improve arithmetic operations' performance. The ALU is built using reversible logic gates that are fault-tolerant.Originality/valueIn contrast to earlier research, the suggested reversible multilayered ALU with reversible QCA operation is imported. The 8- and 16-bit ALU, as well as logical unit functioning, is designed through fewer gates, constant inputs and outputs. This implementation is designed on the Mentor Graphics QCA tool and verifies all functionalities.
Private healthcare entrepreneurship in a free-access public health system: what was the impact of COVID-19 public policies in Greece?
Authors: Apostolopoulos Nikolaos , Liargovas Panagiotis , Sklias Pantelis , Makris Ilias , Apostolopoulos Sotiris 
Published: February 2022

PurposeThis paper aims to examine whether private healthcare entrepreneurship can flourish and overcome obstacles in cases of a free-access public health system and periods of strict public policies, such as the COVID-19 pandemic. Moreover, the paper aims to illuminate the wider social role of private healthcare entrepreneurship during the COVID-19 pandemic.Design/methodology/approachThis paper adopts a qualitative methodological strategy through 12 in-depth semi-structured interviews with the owners of diagnostic centres located in small Greek towns.FindingsPrivate healthcare entrepreneurship flourished and played a significantly positive social role in the context of a degraded public health sector, which lacked investments for more than ten years and was further depleted by its recent focus on COVID-19 incidents. This paper reveals that although public policies that aimed to deal with COVID-19 produced serious consequences, business activity adapted to the new circumstances.Research limitations/implicationsFuture research can combine the findings of this paper with the views of stakeholders, policymakers and social actors.Originality/valueThis paper's value lies in its efforts to expand our current knowledge regarding the impact of COVID-19 public policies on entrepreneurship.
Can a 280-character message explain stock returns? Evidence from South Africa
Authors: Nyakurukwa Kingstone , Seetharam Yudhvir 
Published: February 2022

PurposeThe authors examine the contemporaneous and causal association between tweet features (bullishness, message volume and investor agreement) and market features (stock returns, trading volume and volatility) using 140 South African companies and a dataset of firm-level Twitter messages extracted from Bloomberg for the period 1 January 2015 to 31 March 2020.Design/methodology/approachPanel regressions with ticker fixed-effects are used to examine the contemporaneous link between tweet features and market features. To examine the link between the magnitude of tweet features and stock market features, the study uses quantile regression.FindingsNo monotonic relationship is found between the magnitude of tweet features and the magnitude of market features. The authors find no evidence that past values of tweet features can predict forthcoming stock returns using daily data while weekly and monthly data shows that past values of tweet features contain useful information that can predict the future values of stock returns.Originality/valueThe study is among the earlier to examine the association between textual sentiment from social media and market features in a South African context. The exploration of the relationship across the distribution of the stock market features gives new insights away from the traditional approaches which investigate the relationship at the mean.
Temporal and spatial heterogeneity of semi‐natural habitat, but not crop diversity, is correlated with landscape pollinator richness
Authors: Martínez‐Núñez Carlos , Kleijn David , Ganuza Cristina , Heupink Dennis , Raemakers Ivo , Vertommen Winfried , Fijen Thijs P. M. 
Published: February 2022

Abstract

Enhancing the diversity of mass‐flowering crops (i.e. crop diversity) in agricultural landscapes is often proposed as a measure to favour pollinators and pollination, but it is uncertain whether crop diversity enhances pollinator richness on the wide landscape level.

Here, we surveyed pollinator communities in semi‐natural habitats and mass‐flowering crops throughout the whole growing season in 26 agricultural landscapes to examine how the temporal and spatial heterogeneity in semi‐natural habitats and crop diversity support pollinator species richness.

Crop diversity was unrelated to pollinator richness in the wider landscape, and temporal and spatial heterogeneity in semi‐natural habitats were equally important in determining pollinator richness. Surprisingly, the crop pollinator species pool size was a fixed proportion of the landscape pollinator species pool along a 0%–72% semi‐natural habitat cover gradient.

Synthesis and applications. Our results suggest that increasing crop diversity alone does not contribute to maintaining diverse wild pollinator communities in agricultural landscapes and emphasize the key role of temporally stable habitats such as semi‐natural habitats to maintain rich pollinator communities.
Circular–linear copulae for animal movement data
Authors: Hodel Florian H. , Fieberg John R. 
Published: February 2022

Abstract

Animal movement is often modelled in discrete time, formulated in terms of steps taken between successive locations at regular time intervals. Steps are characterized by the distance between successive locations (step lengths) and changes in direction (turn angles). Animals commonly exhibit a mix of directed movements with large step lengths and turn angles near 0 when travelling between habitat patches and more wandering movements with small step lengths and uniform turn angles when foraging. Thus, step lengths and turn angles will typically be cross‐correlated.

Most models of animal movement assume that step lengths and turn angles are independent, likely due to a lack of available alternatives. Here, we show how the method of copulae can be used to fit multivariate distributions that allow for correlated step lengths and turn angles.

We describe several newly developed copulae appropriate for modelling animal movement data and fit these distributions to data collected on fishers (Pekania pennanti). The copulae are able to capture the inherent correlation in the data and provide a better fit than a model that assumes independence. Further, we demonstrate via simulation that this correlation can impact movement patterns (e.g. rates of dispersion overtime).

We see many opportunities to extend this framework (e.g. to consider autocorrelation in step attributes) and to integrate it into existing frameworks for modelling animal movement and habitat selection. For example, copulae could be used to more accurately sample available locations when conducting habitat‐selection analyses.
Opportune management of a patient with a macrodont and supernumerary tooth
Authors: Low CYS , Ong DC‐V , Freer E 
Published: February 2022

AbstractMacrodontia is a relatively uncommon dental anomaly and has often been reported to occur in association with other dental anomalies. Significant orthodontic and restorative challenges may arise in the management of patients with macrodont teeth. This case report demonstrates the opportune and carefully considered management of a patient presenting with both a macrodont and a supernumerary incisor tooth.
Clinical valuation of ST changes in a group of patients with ventricular arrhythmias: The inSighT Study
Authors: Wranicz Jerzy Krzysztof , Kałowski Michał , Bastian Dirk , Jaswal Aparna , Kolb Christof , Zitron Edgar , Cygankiewicz Iwona , Kaczmarek Krzysztof 
Published: February 2022

AbstractBackgroundThe inSighT study was designed to determine the prevalence of ischemic changes as recorded by implantable cardioverter–defibrillator (ICD) ST deviations in intracardiac electrocardiograms (EGM) over the 24 h preceding malignant ventricular arrhythmias (VT/VF).MethodsThe study enrolled patients with known coronary artery disease (CAD) or high risk of future development of CAD implanted with an ICD equipped with an ST monitoring feature (Ellipse™/Fortify Assura™, St. Jude Medical). Device session records were collected at each in‐clinic follow‐up. EGM ST levels of the beats over the 15 minutes prior to VT/VF events were compared using a t test with those from a baseline period of 23–24 h prior to the VT/VF event. All events with p < .05 were visually inspected to confirm they were evaluable; additional criteria for exclusion from further analysis included inappropriate therapy, aberrant conduction, and occurrence of VT/VF within 24h prior to the current event.ResultsThe study enrolled 481 ICD patients (64 ± 11 years, 83% male) in 14 countries and followed them for 15±5 months. A total of 165 confirmed VT/VF episodes were observed, of which 71 events (in 56 patients, 34% of all patients with VT/VF) were preceded by significant (p < .05) ST‐segment changes unrelated to known non‐ischemic causes. None of the analyzed demographic and clinical factors proved to be associated with greater odds of presenting with ST‐segment changes prior to VT/VF episode.ConclusionIn this exploratory study, characteristic ST‐segment changes, likely representative of ischemic events, were observed in 34% of all patients with VT/VF episodes.
Risk factors for and management of morbidity in pure laparoscopic resection of the right posterosuperior segments of the liver: A multicenter retrospective study
Authors: Shinkawa Hiroji , Hirokawa Fumitoshi , Kaibori Masaki , Nomi Takeo , Ueno Masaki , Ikoma Hisashi , Nakai Takuya , Iida Hiroya , Tanaka Shogo , Komeda Koji , Kosaka Hisashi , Hokuto Daisuke , Hayami Shinya , Morimura Ryo , Matsumoto Masataka , Maehira Hiromitsu , Takemura Shigekazu , Kubo Shoji 
Published: February 2022

AbstractBackgroundThis study aimed to determine the risk factors for severe postoperative complications in patients undergoing pure laparoscopic liver resection (LLR) for tumors in the right posterosuperior (PS) segments.MethodsThe study included 289 patients who underwent parenchyma‐sparing pure LLR for tumors in the right PS segments at eight treatment centers between January 2009 and December 2019.ResultsMultivariate analysis revealed tumor size ≥3 cm (P = .016), segmentectomy (P = .044), and liver cirrhosis (P = .029) as independent risk factors for severe postoperative complications. The severe complication rates (2.7% vs 12.1%, P = .0025), median intraoperative blood loss (100 mL vs 150 mL, P = .001), and median operation time (248 minutes vs 299.5 minutes, P = .0013) were lower in the patients without all these three risk factors than those with at least one risk factor. The median length of postoperative hospital stay was shorter in patients with no risk factors than those with at least one risk factor (9 days vs. 10 days, P = .001).ConclusionsTumor size ≥3 cm, segmentectomy, and liver cirrhosis were the risk factors for severe postoperative complications after parenchyma‐sparing pure LLR for tumors in the right PS segments. Patients without these three risk factors would be appropriate candidates for safely performing parenchyma‐sparing pure LLR in the right PS segments at the outset.
A Recent Survey of GHG Emissions Reporting and Assurance
Authors: Ryan Judy , Tiller Demi 
Published: February 2022

AbstractThis paper describes research undertaken to understand current market practice in relation to greenhouse gas (GHG) emission reporting in New Zealand. Our research sampled 237 large New Zealand entities. The results show that 31% of entities were doing some form of voluntary GHG emission reporting. Of the entities reporting GHG emissions, 73% were reporting some Scope 3 emissions. The majority (51%) do not appear to get assurance for their GHG emissions reports. This is a useful benchmark to assess the level and development of GHG emissions reporting in the future. It indicates the approach reporting entities should take if future regulations and standards follow the current market practice.
Pre‐synaptic and post‐synaptic A‐type K+ channels regulate glutamatergic transmission and switching of the network into epileptiform oscillations
Authors: Wang Guan‐Hsun , Chuang Ai‐Yu , Lai Yi‐Chen , Chen Hsin‐I , Hsueh Shu‐Wei , Yang Ya‐Chin 
Published: February 2022

Background and PurposeAnticonvulsants targeting K+ channels have not been clinically available, although neuronal hyperexcitability in seizures could be suppressed by activation of K+ channels. Voltage‐gated A‐type K+ channel (A‐channel) inhibitors may be prescribed for diseases of neuromuscular junction but could cause seizures. Consistently, genetic loss of function of A‐channels may also cause seizures. It is unclear why inhibition of A‐channels, compared with other types of K+ channels, is particularly prone to seizure induction. This hinders the development of relevant therapeutic interventions.Experimental ApproachMechanisms underlying epileptogenesis with A‐channel inhibition and antiepileptic actions of A‐channel activation were investigated with electrophysiological, pharmacological, optogenetic, and behavioral approaches.Key ResultsPre‐synaptic KV1.4 and post‐synaptic KV4.3 A‐channels act synergistically to gate glutamatergic transmission and control rhythmogenesis in the amygdala. The interconnected neurons set into the oscillatory mode by A‐channel inhibition would reverberate with regular paces and the same top frequency, demonstrating a spatio‐temporally well‐orchestrated system with built‐in oscillatory rhythms normally curbed by A‐channels. Accordingly, selective over‐excitation of glutamatergic neurons or inhibition of A‐channels can induce behavioural seizures, which may be ameliorated by A‐channel activators (e.g. NS‐5806) or AMPA receptor antagonists (e.g. perampanel).Conclusion and ImplicationsTrans‐synaptic voltage‐dependent A‐channels serve as a biophysical‐biochemical transducer responsible for a novel form of synaptic plasticity. Such a network‐level switch into and out of the oscillatory mode may underlie a wide scope of telencephalic information processing or, at its extreme, epileptic seizures. A‐channels thus constitute a potential target of antiepileptic therapy.
Meta‐analysis of the efficacy and safety of thermal ablation for treating large benign thyroid nodules
Authors: Ji Xiaoyu , Sun Wei , Lv Chengzhou , Huang Jiapeng , Zhang Hao 
Published: February 2022

AbstractObjectiveMany large benign thyroid nodules have symptoms and cosmetic problems. This study consisted of a meta‐analysis to accurately assess the effect of thermal ablation on these nodules.MethodsThe PubMed, Embase, Web of Science, and Scopus databases were systematically searched for retrospective or prospective studies of thermal ablation since June 1, 2021. The weighted mean differences of the measures were analysed before and after treatment.ResultsA total of 10 eligible studies were included. By comparing the initial nodule volume with the nodular volume after thermal ablation, we found that the volume reduction rate was increased significantly after 1 month (SMD = 0.453, 95% CI: 0.323–0.583, p < .001), 3 months (SMD = 0.655, 95% CI: 0.563–0.747, p < .001), 6 months (SMD = 0.691, 95% CI: 0.607–0.774, p < .001), and 12 months (SMD = 0.694, 95% CI: 0.583–0.803), p < .001). The nodular volume was also found to decrease significantly, after 1 month (SMD = 2.381, 95% CI: 1.278–3.485, p < .001), 3 months (SMD = 5.071, 95% CI: 2.386–7.756, p < .001), 6 months (SMD = 5.363, 95% CI: 2.765–7.962, p < .001), and 12 months (SMD = 8.194, 95% CI: 2.113–14.274), p < .001). Symptom score (SMD = 4.419, 95% CI: 2.573–6.265, p < .001)and cosmetic score (SMD = 4.245, 95% CI: 2.566–5.359, p < .001) were reduced after thermal ablation.ConclusionsThermal ablation could become an alternative to manage large benign thyroid nodules.
A fusion of variants of sentence scoring methods and collaborative word rankings for document summarization
Authors: Verma Pradeepika , Verma Anshul , Pal Sukomal 
Published: February 2022

AbstractDocument summarization is an important task in natural language processing that helps deal with the problem of information overload occurring due to the existence of redundant content. Summary generation with highly relevant contents and maximum coverage is particularly challenging which can only be achieved when redundancy is minimized. This article introduces a novel approach for automatic text summarization based on sentence scoring and collaborative ranking to produce summaries with minimal redundancy and improved overall performance of summarization. The proposed model is a fusion of weighted and unweighted features‐based sentence scoring methods. To learn optimal weights of text features, it has been modelled as an optimization problem. Moreover, the proposed model exploits the strength of collaborative ranking to generate the summary of a given document. Three similarity factors (proximity, significance and singularity)‐based models have been employed to find the similarity between weighted and unweighted sentence scores. The results of the comparison experiment demonstrate that the proposed (PS + Jac) method generates a closer summary to the reference summary with minimal redundant contents. On average, the proposed (PS + Jac) method generates the summaries with 61% accurate contents with greater improved rates up to 40%. The statistical testing also confirms that the performance improvement is significant at a 5% level of significance.
Alcohol consumption and risk of Alzheimer's disease: A dose–response meta‐analysis
Authors: Xie Chunxiang , Feng Yuhua 
Published: February 2022

AimThis study aimed to investigate the association between alcohol consumption and the risk of Alzheimer's disease (AD).MethodsPubMed and Web of Science databases were systematically searched as of 1 September 2019. Relative risk and 95% CI were used to evaluate the association between alcohol consumption and AD risk. Subgroup analyses based on the type of alcohol, ethnicity, study design and sex were carried out. An alcohol dose–response meta‐analysis was carried out.ResultsA total of 13 studies were included in the quantitative synthesis, and six were used in the dose–response meta‐analysis. Compared with non‐drinkers, individuals who drank had a lower risk of AD (relative risk 0.68, 95% CI 0.53–0.87; I2 = 87.9%, P < 0.001). In subgroup analyses, drinking wine was found to reduce the occurrence of AD (relative risk 0.71, 95% CI 0.51–0.96). When stratified by ethnicity, sex and study design, no association was seen between AD risk and alcohol use. There was an overall non‐linear, but not significant, association between alcohol intake dose and AD risk. A significant non‐linear association was observed between excess AD risk and alcohol intake dose in men (overall P = 0.023; P for non‐linearity = 0.025) starting from 14.8 drinks per week. Women's alcohol intake dose <16.9 drinks per week showed a significant non‐linear association with decreased AD risk (overall P = 0.002; P for non‐linearity = 0.019).ConclusionsDrinking alcohol could reduce the risk of AD. Alcohol dose had a non‐linear, but non‐significant, relationship with the development of AD. The amount of alcohol consumption showed significant sex‐specific effects on AD. Geriatr Gerontol Int 2022; 22: 278–285.
Aquifer Characterization Using Fiber Bragg Grating Multi‐Level Monitoring System
Authors: Wang Yu‐Li , Chang Liang‐Cheng , Liu Fei , Ho Yen‐Te , Wang Tzu Bin , Yeh Tian‐Chyi Jim , Tsai Jui‐Pin 
Published: February 2022

AbstractGroundwater responses measured from multiple wells at different depths are essential for delineating the aquifer heterogeneity using hydraulic tomography (HT). In general, conducting HT requires many wells because traditional well monitoring is usually partially open at a specific depth interval or is fully penetrating. Accordingly, conducting an HT survey is typically costly and time‐consuming. To tackle these issues, a new multi‐level monitoring system (MLMS) for the HT survey was developed using the fiber Bragg grating (FBG) technique. This FBG MLMS could collect the depth‐discrete groundwater observations from a fully penetrated 2‐inch well. Three field campaigns were conducted to validate the capability of the FBG MLMS for HT surveys. The results show that the accuracy and stability of this MLMS are reliable and that FBG MLMS is beneficial for conducting an HT survey. Specifically, compared to the traditional monitoring well in an injection event, this FBG MLMS can concurrently cause an increase in the number of cross‐hole tests several times and collect many more head observations than the standard methods, resulting in the observed flow fields efficiently reaching ergodic conditions and effectively improving the accuracy of the estimated hydraulic heterogeneity. Therefore, the FBG MLMS could be an alternative MLMS for efficiently and economically conducting an HT survey.