bluuebunny/crossref_metadata_2025_split huggingface dataset:
Schedule-cost optimization in high-rise buildings considering uncertainty
Authors: Huang Jinting , Ji Ankang , Xiao Zhonghua , Zhang Limao 
Published: June 2024

PurposeThe paper aims to develop a useful tool that can reliably and accurately find the critical paths of high-rise buildings and provide optimal solutions considering the uncertainty based on Monte Carlo simulation (MCS) to enhance project implementation performance by assisting site workers and project managers in high-rise building engineering.Design/methodology/approachThis research proposes an approach integrating the improved nondominated sorting genetic algorithm II (NSGA-II) considering uncertainty and delay scenarios simulated by MCS with the technique for order preference by similarity to an ideal solution.FindingsThe results demonstrate that the proposed approach is capable of generating optimal solutions, which can improve the construction performance of high-rise buildings and guide the implementation management for shortening building engineering project schedule and cost under the delay conditions.Research limitations/implicationsIn this study, only the construction data of the two floors was focused due to the project at the construction stage, and future work can analyze the whole construction stage of the high-rise building to examine the performance of the approach, and the multi-objective optimization (MOO) only considered two factors as objectives, where more objectives, such as schedule, cost and quality, can be expanded in future.Practical implicationsThe approach proposed in this research can be successfully applied to the construction process of high-rise buildings, which can be a guidance basis for optimizing the performance of high-rise building construction.Originality/valueThe innovations and advantages derived from the proposed approach underline its capability to handle project construction scheduling optimization (CSO) problems with different performance objectives under uncertainty and delay conditions.
Assessing the role of technology in enhancing the authentic tourist experience
Authors: Shekhar  , Valeri Marco 
Published: June 2024

PurposeThe study aims to review how the use of technology enhances the authentic tourist experience. Technology and digitalization have enhanced tourist experiences. However, critiques comment on its ability to over-commercialize activity and lack of authenticity. Thus, there is a need to synthesize knowledge of technology usage to increase authentic tourist experience.Design/methodology/approachThe study carries out a bibliometric review of the studies focusing on the use of technology in enhancing tourist experiences. Two hundred journal articles, published between 1997 and 2023 were retrieved from the Web of Science (WoS) database to carry out descriptive and network analysis using the Gephi, VOSviewer and Science of Science (Sci2) software. The components of authentic tourism experience are identified from the literature through a content analysis.FindingsThe findings of the study are broadly classified into two: first, the most frequently used keywords in the study include tourist experience and satisfaction, co-creation, virtual reality, smart tourism, technology, authenticity and heritage tourism. Second, the five major themes studied in the topic include virtual reality and tourist experience; media, tourist experience and encounters; technology, smart tourism and tourist experience; digital transformation, social media and tourist experience; and virtual reality and tourist experience which are still relevant in the literature because of the presence of study gaps.Originality/valueThe findings are used to develop a conceptual framework for the role of technology in enhancing authenticity in tourism typologies where authenticity is critical.
The role of neuromorphic and biomimetic sensors
Authors: Bogue Rob 
Published: June 2024

Purpose
The purpose of this paper is to provide details of biomimetic and neuromorphic sensor research and developments and discuss their applications in robotics.

Design/methodology/approach
Following a short introduction, this first provides examples of recent biomimetic gripping and sensing skin research and developments. It then considers neuromorphic vision sensing technology and its potential robotic applications. Finally, brief conclusions are drawn.

Findings
Biomimetics aims to exploit mechanisms, structures and signal processing techniques which occur in the natural world. Biomimetic sensors and control techniques can impart robots with a range of enhanced capabilities such as learning, gripping and multidimensional tactile sensing. Neuromorphic vision sensors offer several key operation benefits over conventional frame-based imaging techniques. Robotic applications are still largely at the research stage but uses are anticipated in enhanced safety systems in autonomous vehicles and in robotic gripping.

Originality/value
This illustrates how tactile and imaging sensors based on biological principles can contribute to imparting robots with enhanced capabilities.
Modelling eco-friendly smart home appliances’ adoption intention from the perspective of residents: a comparative analysis of PLS-SEM and fsQCA
Authors: Chanda Razib Chandra , Vafaei-Zadeh Ali , Hanifah Haniruzila , Ramayah T. 
Published: June 2024

PurposeThis research aims to explore the factors influencing the adoption intention of eco-friendly smart home appliances among residents in densely populated urban areas of a developing country.Design/methodology/approachA quantitative research approach was employed to gather data from 348 respondents through purposive sampling. A comparative analysis strategy was then utilized to investigate the adoption of eco-friendly smart home appliances, combining both linear (PLS-SEM) and non-linear (fsQCA) approaches.FindingsThe results obtained from PLS-SEM highlight that performance expectancy, facilitating conditions, hedonic motivation, price value, and environmental knowledge significantly influence the adoption intention of eco-friendly smart home appliances. However, the findings suggest that effort expectancy, social influence, and habit are not significantly associated with customers' intention to adopt eco-friendly smart home appliances. On the other hand, the fsQCA results identified eight configurations of antecedents, offering valuable insights into interpreting the complex combined causal relationships among these factors that can generate (each combination) the adoption intention of eco-friendly smart home appliances among densely populated city dwellers.Research limitations/implicationsThis study offers crucial marketing insights for various stakeholders, including homeowners, technology developers and manufacturers, smart home service providers, real estate developers, and government entities. The findings provide guidance on how these stakeholders can effectively encourage customers to adopt eco-friendly smart home appliances, aligning with future environmental sustainability demands. The research implications underscore the significance of exploring the antecedents that influence customers' adoption intention of eco-friendly technologies, contributing to the attainment of future sustainability goals.Originality/valueThe environmental sustainability of smart homes, particularly in densely populated city settings in developing countries, has received limited attention in previous studies. Therefore, this study aims to address the pressing issue of global warming and make a meaningful contribution to future sustainability goals related to smart housing technologies. Therefore, this study employs a comprehensive approach, combining both PLS-SEM (linear) and fsQCA (non-linear) techniques to provide a more thorough examination of the factors influencing the adoption of environmentally sustainable smart home appliances.
Convergence of crises in Colombia: The intersection of refugee crisis, illegal armed groups and policy missteps
Authors: Johnson Kirk A. 
Published: June 2024

AbstractThe multiple crises of Colombian‐Venezuelan borderland geopolitics, which include a rise in Venezuelan refugees entering Colombia, mounting armed conflict from illegal armed groups throughout Colombia and the mixed efficacy of policy responses by the government, are converging to drive an evolution in Colombia's security concerns. This convergence of crises rivals the security conditions of the early 2000's. As before, the government faces prolific armed conflict, loss of legitimacy over sovereign territory to a host of illegal armed groups, unchecked coca cultivation‐trafficking and illicit economies, and an overwhelming loss of confidence in the central government's abilities to govern and counter these threats. This paper argues that the cumulative effect of the nascent convergence of crises is the subsequent rise of mounting Colombian insecurity and threats to stability that now permeates throughout the country – spanning and linking rural, urban and borderland areas in unprecedented ways while driving Venezuelan xenophobia and social unrest.
Colombia's role in great power competition
Authors: Jones Kristen 
Published: June 2024

AbstractGreat power competition between the United States and China marked the last decade and will continue to define geopolitics in the near future. Colombia is a key Latin American country with respect to this great power competition, and this article will explain why Colombia matters in the current great power competition. It will review the economic, military, and diplomatic resources of Colombia from each country, and the reception and effect that these decisions have on Colombia. In conclusion, the article proposes recommendations to support a liberal international order through engagement in Colombia.
Poor socioeconomic outcomes: Completion of the final examination after lower secondary education mitigates risks associated with gestational age
Authors: Wiingreen Rikke , Sørensen Kathrine Kold , Greisen Gorm , Løkkegaard Ellen C. L. , Torp‐Pedersen Christian , Andersen Mikkel Porsborg , Mølholm Hansen Bo 
Published: June 2024

AbstractAimTo investigate the influence of gestational age (GA) on the association between completion of the final examination after 10–11 years of basic education and education, financial independence and income in early adulthood.MethodsA nationwide register‐based study including individuals born in Denmark between 1990 and 1992. Completion of the examination was evaluated at age 18 and education, financial independence and income at age 28.ResultsOf 165 683 individuals included, 15.7%, 10.8% and 5.5% had low educational level, were not financially independent and had low income. For those who completed the examination odds ratio (OR) ranged from 1.03 at GA = 32–36 weeks to 1.25 at ≤27 weeks for low education, from 1.10 to 0.91 for not being financial independent and from 1.06 to 1.48 for low income. For those who did not complete the examination, OR increased from 7.55 at ≥37 weeks to 15.03 at ≤27 weeks for low education and from 4.68 to 15.31 for not being financial independent. For low income, OR was 2.57 and independent of GA.ConclusionFor individuals who completed the examination, the odds of poor socioeconomic outcomes were independent of GA. Individuals who did not complete the examination had increased odds of poor socioeconomic outcomes, particularly as GA decreased.
Yesterday's problems are here to stay: Invisible exposure to geogenic metal (loid)s of arsenic, boron, and lithium in the Atacama Desert
Authors: Arriaza Bernardo , Amarasiriwardena Dulasiri 
Published: June 2024

AbstractIn this paper, we review the three natural contaminants (arsenic, boron, and lithium) that affected the ancient Andean populations of northern Chile. We debate the natural setting and the toxicity of these elements upon ancient populations exposed and their biocultural significance. This review demonstrates that recent advances in sensitive analytical atomic and mass spectrometry methods have immensely contributed to understanding the extent of exposure to geogenic metal (loid)s by ancient Andeans using well preserved tissues such as hair, bones, and teeth. In addition, the synthesized evidence shows that ancient Atacama Desert populations were significantly affected simultaneously by multiple potentially toxic chronic endemic regional hydro contaminants. Last, we suggest that future archaeometric and archaeological analysis need to consider ancient multicontaminants as an important factor when analyzing diet and health conditions.
Avatrombopag plus fostamatinib combination as treatment in patients with multirefractory immune thrombocytopenia
Authors: Mingot‐Castellano Maria Eva , Bastida Jose Maria , Ghanima Waleed , Ruiz Sainz Elena , Nuñez Vazquez Ramiro , Pedrote Amador Begoña , Abdel‐Kader Martín Laila , Piquer‐Monsonis Dolores , Canaro Mariana 
Published: June 2024

SummaryImmune thrombocytopenia (ITP) refractory to multiple therapies may require a combination of drugs targeting different mechanisms and targets. In this retrospective, multicentre, international study, we report the safety and effectiveness of avatrombopag and fostamatininb in combination administered to 18 patients with multirefractory ITP. Overall, the combination response was achieved in 15 patients (83.3%), with a median time from combination start to best response of 15 days (IQR: 8–35 days). After a median follow‐up of 256 days (IQR: 142.8–319), 5 patients relapsed (26.7%), all during tapering or stopping one drug. Adverse events were described in 6 of 18 patients (33%).
Whole‐brain glucose metabolic pattern differentiates minimally conscious state from unresponsive wakefulness syndrome
Authors: Guo Kun , Zhang Qi , Quan Zhiyong , Wang Yirong , Ma Taoqi , Jiang Jiehui , Kang Fei , Wang Jing 
Published: June 2024

AbstractAimsThe patient being minimally conscious state (MCS) may benefit from wake‐up interventions aimed at improving quality of life and have a higher probability of recovering higher level of consciousness compared to patients with the unresponsive wakefulness syndrome (UWS). However, differentiation of the MCS and UWS poses challenge in clinical practice. This study aimed to explore glucose metabolic pattern (GMP) obtained from 18F‐labeled‐fluorodeoxyglucose positron emission tomography (18F‐FDG‐PET) in distinguishing between UWS and MCS.MethodsFifty‐seven patients with disorders of consciousness (21 cases of UWS and 36 cases of MCS) who had undergone repeated standardized Coma Recovery Scale‐Revised (CRS‐R) evaluations were enrolled in this prospective study. 18F‐FDG‐PET was carried out in all patients and healthy controls (HCs). Voxel‐based scaled subprofile model/principal component analysis (SSM/PCA) was used to generate GMPs. The expression score of whole‐brain GMP was obtained, and its diagnostic accuracy was compared with the standardized uptake value ratio (SUVR). The diagnostic efficiency was validated by one‐year later clinical outcomes.ResultsUWS‐MCS GMP exhibited hypometabolism in the frontal–parietal cortex, along with hypermetabolism in the unilateral lentiform nucleus, putamen, and anterior cingulate gyrus. The UWS‐MCS‐GMP expression score was significantly higher in UWS compared to MCS patients (0.90 ± 0.85 vs. 0 ± 0.93, p < 0.001). UWS‐MCS‐GMP expression score achieved an area under the curve (AUC) of 0.77 to distinguish MCS from UWS, surpassing that of SUVR based on the frontoparietal cortex (AUC = 0.623). UWS‐MCS‐GMP expression score was significantly correlated with the CRS‐R score (r = −0.45, p = 0.004) and accurately predicted the one‐year outcome in 73.7% of patients.ConclusionUWS and MCS exhibit specific glucose metabolism patterns, the UWS‐MCS‐GMP expression score significantly distinguishes MCS from UWS, making SSM/PCA a potential diagnostic methods in clinical practice for individual patients.
Application of concept drift detection and adaptive framework for non linear time series data from cardiac surgery
Authors: Ganesan Rajarajan , Kaur Tarunpreet , Mittal Alisha , Sahi Mansi , Konar Sushant , Samra Tanvir , Puri Goverdhan Dutt , Thingnum Shayam Kumar Singh , Auluck Nitin 
Published: June 2024

AbstractThe quality of machine learning (ML) models deployed in dynamic environments tends to decline over time due to disparities between the data used for training and the upcoming data available for prediction, which is commonly known as drift. Therefore, it is important for ML models to be capable of detecting any changes or drift in the data distribution and updating the ML model accordingly. This study presents various drift detection techniques to identify drift in the survival outcomes of patients who underwent cardiac surgery. Additionally, this study proposes several drift adaptation strategies, such as adaptive learning, incremental learning, and ensemble learning. Through a detailed analysis of the results, the study confirms the superior performance of ensemble model, achieving a minimum mean absolute error (MAE) of 10.684 and 2.827 for predicting hospital stay and ICU stay, respectively. Furthermore, the models that incorporate a drift adaptive framework exhibit superior performance compared to the models that do not include such a framework.
Masked self‐supervised pre‐training model for EEG‐based emotion recognition
Authors: Hu Xinrong , Chen Yu , Yan Jinlin , Wu Yuan , Ding Lei , Xu Jin , Cheng Jun 
Published: June 2024

AbstractElectroencephalogram (EEG), as a tool capable of objectively recording brain electrical signals during emotional expression, has been extensively utilized. Current technology heavily relies on datasets, with its performance being limited by the size of the dataset and the accuracy of its annotations. At the same time, unsupervised learning and contrastive learning methods largely depend on the feature distribution within datasets, thus requiring training tailored to specific datasets for optimal results. However, the collection of EEG signals is influenced by factors such as equipment, settings, individuals, and experimental procedures, resulting in significant variability. Consequently, the effectiveness of models is heavily dependent on dataset collection efforts conducted under stringent objective conditions. To address these challenges, we introduce a novel approach: employing a self‐supervised pre‐training model, to process data across different datasets. This model is capable of operating effectively across multiple datasets. The model conducts self‐supervised pre‐training without the need for direct access to specific emotion category labels, enabling it to pre‐train and extract universally useful features without predefined downstream tasks. To tackle the issue of semantic expression confusion, we employed a masked prediction model that guides the model to generate richer semantic information through learning bidirectional feature combinations in sequence. Addressing challenges such as significant differences in data distribution, we introduced adaptive clustering techniques that manage by generating pseudo‐labels across multiple categories. The model is capable of enhancing the expression of hidden features in intermediate layers during the self‐supervised training process, enabling it to learn common hidden features across different datasets. This study, by constructing a hybrid dataset and conducting extensive experiments, demonstrated two key findings: (1) our model performs best on multiple evaluation metrics; (2) the model can effectively integrate critical features from different datasets, significantly enhancing the accuracy of emotion recognition.
Sea turtle conservation in São Tomé and Príncipe: Policies, practices, and insights from a community‐based initiative
Authors: Ferreira Rogério L. , dos Prazeres Inocêncio A. 
Published: June 2024

AbstractUnifying research and conservation objectives with the needs of local populations demands a profound understanding of the field. This perspective provides a brief policy and social‐cultural context for the conservation of endangered sea turtles in São Tomé and Príncipe, Central Africa. It is illustrated by initiatives implemented from the 90s to the 2000s and complemented by a community‐based intervention on Príncipe Island (2010–2014). The intervention focused on awareness‐raising, economic‐alternatives, capacity‐building, and surveillances to deter poaching, collect scientific data, and increase outreach. It contributed to reduce sea turtle exploitation, train local conservationists, and increase awareness to economic alternatives. Securing stakeholders' support is vital for success, and endeavors like this provide a cost‐effective approach, aligning biodiversity conservation strategies with local values and aspirations. Overall, this perspective underscores that failure to collaborate with those involved in wildlife subsistence livelihoods often results in delays and setbacks in reducing exploitation, while modest investments in local stewardship can efficiently improve ecosystems and human well‐being.
Geographic and racial variability in kidney, cardiovascular and safety outcomes with canagliflozin: A secondary analysis of the CREDENCE randomized trial
Authors: Cardoza Kathryn , Kang Amy , Smyth Brendan , Yi Tae Won , Pollock Carol , Agarwal Rajiv , Bakris George , Charytan David M. , de Zeeuw Dick , Wheeler David C. , Zhang Hong , Cannon Christopher P. , Perkovic Vlado , Arnott Clare , Levin Adeera , Mahaffey Kenneth W. 
Published: June 2024

AbstractAimTo explore the effect of canagliflozin on kidney and cardiovascular events and safety outcomes in individuals with type 2 diabetes and chronic kidney disease across geographic regions and racial groups.Materials and MethodsA stratified Cox proportional hazards model was used to assess efficacy and safety outcomes by geographic region and racial group. The primary composite outcome was a composite of end‐stage kidney disease (ESKD), doubling of the serum creatinine (SCr) level, or death from kidney or cardiovascular causes. Secondary outcomes included: (i) cardiovascular death or heart failure (HF) hospitalization; (ii) cardiovascular death, myocardial infarction (MI) or stroke; (iii) HF hospitalization; (iv) doubling of the SCr level, ESKD or kidney death; (v) cardiovascular death; (vi) all‐cause death; and (vii) cardiovascular death, MI, stroke, or hospitalization for HF or for unstable angina.ResultsThe 4401 patients were divided into six geographic region subgroups: North America (n = 1182, 27%), Central and South America (n = 941, 21%), Eastern Europe (n = 947, 21%), Western Europe (n = 421, 10%), Asia (n = 749, 17%) and Other (n = 161, 4%). The analyses included four racial groups: White (n = 2931, 67%), Black or African American (n = 224, 5%), Asian (n = 877, 20%) and Other (n = 369, 8%). Canagliflozin reduced the relative risk of the primary composite outcome in the overall trial by 30% (hazard ratio 0.70, 95% confidence interval 0.59‐0.82; P = 0.00001). Across geographic regions and racial groups, canagliflozin consistently reduced the primary composite endpoint without evidence of heterogeneity (interaction P values of 0.39 and 0.91, respectively) or significant safety outcome differences.ConclusionsCanagliflozin reduces the risk of kidney and cardiovascular events similarly across geographic regions and racial groups.