bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recent Progress of Full-Field Three-Dimensional Shape Measurement Based on Phase Information
Authors: Bai Yajing , Zhang Zonghua , Fu Shuai , Zhao Hongwei , Ni Yubo , Gao Nan , Meng Zhaozong , Yang Zeqing , Zhang Guofeng , Yin Wei 
Published: April 2024

AbstractFull-field three-dimensional (3D) measurement technology based on phase information has become an indispensable part of geometric dimension measurement in modern scientific research and engineering applications. This field has been developing and evolving for the study of highly reflective phenomena, diffuse reflections, and specular surfaces, and many novel methods have emerged to increase the speed of measurements, enhance data accuracy, and broaden the robustness of the system. Herein, we will discuss the latest research progress in full-field 3D shape measurement based on phase information systematically and comprehensively. First, the fundamentals of 3D shape measurement based on phase information are introduced, namely, phase-shifting and transform-based methods. Second, recent technological innovations are highlighted, including increases in measurement speed and automation and improvements in robustness in complex environments. In particular, the challenges faced by these technological advances in solving highly dynamic, composite surface measurement problems are presented, i.e., with multiexposure techniques proposed for high dynamics that extend the dynamic range of the camera to reduce the effects of overexposure but increase the cost of time and have high hardware requirements, fringe adaptive techniques that overcome light variations but are computationally complex, and multipolarized camera techniques that reduce the effects of light variations but are sensitive to the light source. Third, the phase-shifting method combined with coding is proposed to improve the measurement speed, but the accuracy is slightly reduced. Deep learning techniques are proposed to cope with measurements in complex environments, but the dataset computation process is cumbersome. Finally, future research directions are suggested, and the challenges are presented. Overall, this work provides a reference for researchers and engineers.
Performance Analysis of Handwritten Text Augmentation on Style-Based Dating of Historical Documents
Authors: Koopmans Lisa , Dhali Maruf A. , Schomaker Lambert 
Published: April 2024

AbstractOne of the main questions paleographers aim to answer while studying historical manuscripts is when they were produced. Automatized methods provide tools that can aid in a more accurate and objective date estimation. Many of these methods are based on the hypothesis that handwriting styles change over periods. However, the sparse availability of digitized historical manuscripts poses a challenge in obtaining robust systems. The presented research extends previous research that explored the effects of data augmentation by elastic morphing on the dating of historical manuscripts. Linear support vector machines were trained on k-fold cross-validation on textural and grapheme-based features extracted from the Medieval Paleographical Scale, early Aramaic manuscripts, the Dead Sea Scrolls, and volumes of the French Royal Chancery collection. Results indicate training models with augmented data can improve the performance of historical manuscript dating by 1–3% in cumulative scores, but also diminish it. Data augmentation using elastic morphing can both improve and decrease date prediction of historical manuscripts and should be carefully considered. Moreover, further enhancements are possible by considering models tuned to the features and documents’ scripts.
A Model of Connections Between Positive Characteristics: Emotional Intelligence Links Mindfulness to Positive Characteristics with Emotion Elements
Authors: Schutte Nicola S. , Meynadier Jai 
Published: April 2024

AbstractThis research examined a model positing that mindfulness is a foundation for the development of emotional intelligence and other positive characteristics with emotional elements; these characteristics include self-compassion, gratitude, empathy, resilience, and forgiveness. The model further postulates that adaptive emotional processing, as operationalised by emotional intelligence, may connect mindfulness to positive characteristics with emotion elements. Participants completed trait-level measures of mindfulness, emotional intelligence, self-compassion, gratitude, empathy, resilience, and forgiveness. Greater trait mindfulness was significantly associated with higher levels of emotional intelligence as well as more compassion, gratitude, resilience, and forgiveness. Higher levels of emotional intelligence were significantly associated with more self-compassion, gratitude, empathy, resilience, and forgiveness. Emotional intelligence significantly mediated, or connected, the relationship of mindfulness with gratitude, empathy, resilience, and forgiveness. The results overall support a theoretical model that proposes that mindfulness and emotional intelligence may be foundational for the development of positive characteristics with emotion elements.
A semi-supervised approach of short text topic modeling using embedded fuzzy clustering for Twitter hashtag recommendation
Authors: Pattanayak Pradipta Kumar , Tripathy Rudra Mohan , Padhy Sudarsan 
Published: April 2024

AbstractSocial media stands as a crucial information source across various real-world challenges. Platforms like Twitter, extensively used by news outlets for real-time updates, categorize news via hashtags. These hashtags act as pivotal meta-information for linking tweets to underlying themes, yet many tweets lack them, posing challenges in topic searches. Our contribution addresses this by introducing a novel heuristic for hashtag recommendation. Extracting 20 thousand tweets, 5000 each from distinct categories health, sports, politics, and technology we applied fundamental data cleaning and tokenization techniques. Leveraging Word2Vec, we vectorized tokens, capturing nuanced semantic meanings and mitigating data sparsity issues. The proposed heuristic creates clusters of different topic by combining these embedded features and idea of fuzzy C-Means technique. Develop a rule-based approach that combines both supervised and unsupervised methods to label clusters, indicating their respective topic. The experimental outcomes shows that our proposed techniques achieve better performance metrics in precision, recall, and F1-score compared to specific baseline models.
Ecological study and forest degradation of the Waldiba Monastery woodland in Tigrai, Ethiopia
Authors: Berhe Daniel H. , Retta Abeba N. , Tefera Amare S. , Gidey Tesfay , Negussie Aklilu , Birhane Emiru , Hadgu Kiros M. , Gebrehiwot Kflay 
Published: April 2024

AbstractSacred sites like monasteries harbour a higher diversity of flora and fauna than nearby unprotected areas and sometimes even higher than protected areas. However, anthropogenic disturbance puts woodlands in these monasteries and churches under significant threat. To study the floristic composition and forest degradation of Waldiba monastery woodland in Tigrai, Ethiopia, 30 plots were established along transect lines. We recorded 39 native woody species (33 trees, 5 shrubs and 1 liana) belonging to 19 families. The woodland had a Shannon diversity index of 3.10, Simpson similarity index of 0.94, evenness of 0.58 and dominance of 0.06. The density of woody species was 922 stems ha−1 with a total basal area of 49.27 m2 ha−1. The tree species with higher importance value index (IVI) value were Dichrostachys cinerea (86.04%), Combretum fragrans (71.87%), Combretum hartmannianum (60.30%) and Combretum sp. (50.15%). The population structure of the woody species exhibited various patterns; bell shape, irregular shape, interrupted J shape, and J shape. Plant regeneration was inadequate for most of the tree species. Vachellia venosa is listed as endangered while C. hartmannianum as vulnerable in the IUCN red list species category. Waldiba dry woodland has underwent significant cover changes. Waldiba has lost much (65%) of its dense forest and open forest (44%) mainly due to anthropogenic disturbance. The woodland with its biodiversity is under threat. In effect, the species with low IVI, species listed in the IUCN red list and those species with none to poor regeneration status should be prioritized for in situ and ex situ conservation intervention to avert the threat. Research on reproductive ecology of the threatened indigenous species is imperative, as the woodland should be managed for ecosystem services and biodiversity conservation.
An Euler-Like Product with Fibonacci Exponents
Authors: Eğecioğlu Ömer 
Published: April 2024

AbstractThe pentagonal theorem for partitions is a consequence of the expansion of Euler’s famous product$$ (1-y) (1-y^2) (1-y^3)(1-y^4)(1-y^5) \cdots $$(1-y)(1-y2)(1-y3)(1-y4)(1-y5)⋯We investigate the nature of the coefficients of the series expansion of$$ (1-y) (1-y^2) (1-y^3)(1-y^5)(1-y^8) \cdots $$(1-y)(1-y2)(1-y3)(1-y5)(1-y8)⋯, in which the sequence of exponents is the Fibonacci numbers. As a part of the study of the combinatorial properties of the development of this product, we show that the series expansion coefficients are from$$ \{ -1, 0, 1\}$${-1,0,1}, and their behavior is determined by a monoid of twenty-five$$2\times 2$$2×2matrices.
Warship 3
Authors: van Zinderen-Bakker Rindert 
Published: April 2024

The two ships of the Jacob van Heemskerck class of the Royal Netherlands Navy were built as specialized air defence frigates. A development of the Standard-type. Paid off after about twenty years' service and transferred to the Chilean Navy. Since 2005/2006 commissioned units of the Almirante Latorre class in the Chilean Navy.
Programmatic implementation of depression screening and remote mental health support sessions for persons recently diagnosed with TB in Lima, Peru during the COVID-19 pandemic
Authors: Contreras Carmen , Cruz Janeth Santa , Galea Jerome T. , Chu Alexander L. , Puma Daniela , Ramos Lourdes , Tovar Marco , Peinado Jesús , Lecca Leonid , Keshavjee Salmaan , Yuen Courtney M. , Raviola Giuseppe 
Published: April 2024

Abstract

Background
Few studies have explored a stepped care model for delivering mental health care to persons with tuberculosis (TB). Here, we evaluated depression screening and remote low-intensity mental health interventions for persons initiating TB treatment in Lima, Peru during the COVID-19 pandemic.

Methods
We used the Patient Health Questionnaire 9 (PHQ-9) to screen participants for depressive symptoms (PHQ-9 ≥ 5). Participants with PHQ-9, 5–14 received remote Psychological First Aid (PFA) or Problem Management Plus (PM+). Participants were reevaluated 6 months after intervention completion. We then compared the change in median PHQ-9 scores before and after intervention completion. Those with PHQ-9 ≥ 15 were referred to higher-level care.

Findings
We found that 62 (45.9%) of the 135 participants had PHQ-9 ≥ 5 at baseline. Then, 54 individuals with PHQ-9, 5–9 received PFA, of which 44 (81.5%) were reevaluated. We observed significant reductions in median PHQ-9 scores from 6 to 2 (r = 0.98; p < 0.001). Four participants with PHQ-9, 10–14 received PM+ but were unable to be reevaluated. Four participants with PHQ-9 ≥ 15 were referred to higher-level care.

Conclusions
Depressive symptoms were common among persons recently diagnosed with TB. We observed improvements in depressive symptoms 6 months later for most participants who received remote sessions of PFA.
Reactivation of herpesvirus type 6 and IgA/IgM-mediated responses to activin-A underpin long COVID, including affective symptoms and chronic fatigue syndrome
Authors: Vojdani Aristo , Almulla Abbas F. , Zhou Bo , Al-Hakeim Hussein K. , Maes Michael 
Published: April 2024

AbstractBackground:Persistent infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), reactivation of dormant viruses, and immune-oxidative responses are involved in long COVID.Objectives:To investigate whether long COVID and depressive, anxiety, and chronic fatigue syndrome (CFS) symptoms are associated with IgA/IgM/IgG to SARS-CoV-2, human herpesvirus type 6 (HHV-6), Epstein-Barr Virus (EBV), and immune-oxidative biomarkers.Methods:We examined 90 long COVID patients and ninety healthy controls. We measured serum IgA/IgM/IgG against HHV-6 and EBV and their deoxyuridine 5′-triphosphate nucleotidohydrolase (duTPase), SARS-CoV-2, and activin-A, C-reactive protein (CRP), advanced oxidation protein products (AOPP), and insulin resistance (HOMA2-IR).Results:Long COVID patients showed significant elevations in IgG/IgM-SARS-CoV-2, IgG/IgM-HHV-6, and HHV-6-duTPase, IgA/IgM-activin-A, CRP, AOPP, and HOMA2-IR. Neural network analysis yielded a highly significant predictive accuracy of 80.6% for the long COVID diagnosis (sensitivity: 78.9%, specificity: 81.8%, area under the ROC curve = 0.876); the topmost predictors were as follows: IGA-activin-A, IgG-HHV-6, IgM-HHV-6-duTPase, IgG-SARS-CoV-2, and IgM-HHV-6 (all positively) and a factor extracted from all IgA levels to all viral antigens (inversely). The top 5 predictors of affective symptoms due to long COVID were IgM-HHV-6-duTPase, IgG-HHV-6, CRP, education, IgA-activin-A (predictive accuracy of r = 0.636). The top 5 predictors of CFS due to long COVID were in descending order: CRP, IgG-HHV-6-duTPase, IgM-activin-A, IgM-SARS-CoV-2, and IgA-activin-A (predictive accuracy: r = 0.709).Conclusion:Reactivation of HHV-6, SARS-CoV-2 persistence, and autoimmune reactions to activin-A combined with activated immune-oxidative pathways play a major role in the pathophysiology of long COVID as well as the severity of its affective symptoms and CFS.
SQUEAKY CLEAN CELLULOSE: COMPARING PRETREATMENT EFFECTIVENESS ON SINGLE TREE RINGS AND WOODEN LATHS
Authors: Khumalo Wendy Hlengiwe , Svarva Helene Løvstrand , Zurbach Damaris , Nadeau Marie-Josée 
Published: April 2024

ABSTRACTObtaining accurate radiocarbon (14C) results from wood samples requires the extraction of cellulose. In the past, this has been done using different combinations of methods including acidified bleaching, acid-base-acid, and strong bases. This often becomes a time-consuming task in most analyses, especially when single ring isotope chronologies are needed from wood samples. Using 14C and Fourier-transform infrared spectroscopy (FTIR), we tested four different pretreatment methods to determine their ability to produce high quality cellulose. We then adjusted the best methods to determine a method for pretreating wood laths of multiple rings. A sequence of base-acid-base-acid-bleach + strong base (BABAB+) and BABAB produced the most accurate results when compared to the Bomb20 Northern Hemisphere Zone 1 curve with an average difference in Δ14C of 1.3‰ and 5.8‰ respectively. These methods were adjusted to pretreat an entire wood lath and a comparison of the FTIR results suggest that our adjusted BABAB+ and BABAB produced high quality cellulose comparable to that of an individually pretreated ring. The possibility to pretreat wood lath samples has the potential to more than double the number of tree rings which can be pretreated in a week. This is a significant reduction in time when creating long tree ring chronologies.
Robust evidence for the simple view of second language reading: Secondary meta-analysis of Jeon and Yamashita (2022)
Authors: Hamada Akira , Shimizu Haruka , Hoshino Yuko , Takaki Shuichi , Ushiro Yuji 
Published: April 2024

AbstractThis paper reports a complete secondary analysis of Jeon and Yamashita’s (2022) systematic review to build the second language (L2) model of the simple view of reading (SVR). The same meta-analytic methodologies were maintained, with the exception of applying meta-analytic structural equation modeling (MASEM). This study successfully replicated some of the aggregated correlations but not others, owing to (a) the recoding of the original raw data to recreate a dataset and (b) the motivated change in sample selection from a longitudinal study for MASEM. The MASEM results extended previous findings that L2 comprehension skills contribute more to L2 reading comprehension than L2 decoding skills, and together explain a large amount of variance in L2 reading comprehension. The SVR model with metalinguistic skills showed their contribution to L2 decoding and comprehension skills, but no direct impact on L2 reading comprehension, supporting the parsimonious structure of SVR in L2.
Clarifying the role of inhibitory control in L2 phonological processing: A preregistered, close replication of Darcy et al. (2016)
Authors: Huensch Amanda 
Published: April 2024

AbstractDarcy et al. (2016) examined the relationship between language abilities and general cognition, or specifically, how inhibitory control might relate to L2 speech perception and production. Given that their findings unexpectedly indicated a stronger relationship between inhibitory control and perception in comparison to inhibitory control and production, and because inhibitory control was measured using a single, retrieval-induced inhibition task, the current study is a close replication with the inclusion of two additional tasks of intentional inhibition: the Stroop task and the Simon task. A comparison of the descriptive statistics for the tests of phonological processing and retrieval-induced inhibition between the initial study and current replication indicated negligible differences between the two participant samples. However, results of the partial correlation analyses in the current replication did not indicate clear relationships between phonological variables and inhibitory control. Possible explanations for the different patterning of results and implications for future replications are discussed.
Embodied technological progress, heterogeneous multiworker firms, and unemployment
Authors: Tanaka Kosho 
Published: April 2024

Abstract
This paper studies the impact of technological progress on unemployment in a search-matching model with heterogeneous multiworker firms. In the model, some firms continue to reap rewards from new technologies over time and contribute to job creation, while other firms obsolesce and reduce their employment. Thus, the model captures an endogenous change in the aggregate composition of firms (the firm-composition effect). Considering this effect along with the two canonical effects—the capitalization and creative-destruction effects—I examine the importance of each through a simulation. The results show that the firm-composition effect explains almost all the variation in unemployment in the model, mainly through shrinking the number of obsolescing firms relative to surviving firms and increasing the aggregate technology adoption rate when technology progresses rapidly.
Simulation of Drying‐Rewetting Processes in Numerical Groundwater Models Using a New Picard Iteration‐Based Method
Authors: Lu Chuiyu , Lu Wen , Sun Qingyan , He Xin , Yan Lingjia , Qin Tao , Wu Chu , Han Shangqi , Wu Zhenjiang , Wu Weichen 
Published: April 2024

AbstractWhen simulating groundwater flow in unconfined and convertible aquifers using a groundwater model with the block‐centered finite‐difference approach, such as MODFLOW, it frequently encounters drying and rewetting of cells. Although many drying and rewetting simulation methods have been proposed in the past, balancing simulation accuracy and convergence capability all at once is difficult. MODFLOW‐2005, which has second‐order accuracy, employs a trial‐and‐error method, but it suffers from computational instability when large quantities of grid cells are dried. MODFLOW‐NWT adopts the upstream‐weighting approach and Newton iteration method to ensure the stability of the drying and rewetting simulations. However, the upstream‐weighting approach has only first‐order accuracy, and the Newton iteration method is complex to implement because it necessitates the establishment of an additional Jacobian matrix. The methods employed by MODFLOW‐NWT are also available in MODFLOW 6, therefore it inherits both the strengths and weaknesses of MODFLOW‐NWT. In this study, a new method, Picard iteration‐based always active cell (PAAC), is proposed. Similar to MODFLOW‐NWT, the PAAC method also uses dry cells as active cells. The PAAC method, however, does not use the upstream‐weighting approach and has second‐order accuracy. Moreover, it ensures good convergence stability even under the Picard iteration method. In addition to discussing the algorithm, five cases were used to comprehensively compare the simulation effects of the PAAC method with MODFLOW‐2005 and MODFLOW‐NWT, including an analytical solution, repeated drying‐rewetting of multi‐layer grids, pumping well problem, perched aquifer problem and a nearly dry single‐layer grid, which verified the practicability of the PACC method.
Observed Global Changes in Sector‐Relevant Climate Extremes Indices—An Extension to HadEX3
Authors: Dunn Robert J. H. , Herold Nicholas , Alexander Lisa V. , Donat Markus G. , Allan Rob , Bador Margot , Brunet Manola , Cheng Vincent , Ibadullah Wan Maisarah Wan , Ibrahim Muhammad Khairul Izzat Bin , Kruger Andries , Kubota Hisayuki , Lippmann Tanya J. R. , Marengo Jose , Mbatha Sifiso , McGree Simon , Ngwenya Sandile , Pabon Caicedo Jose Daniel , Ramos Andrea , Salinger Jim , van der Schrier Gerard , Srivastava Arvind , Trewin Blair , Yáñez Ricardo Vásquez , Vazquez‐Aguirre Jorge , Jiménez Claudia Villaroel , Vose Russ , Yussof Mohd Noor’Arifin Bin Hj , Zhang Xuebin 
Published: April 2024

AbstractGlobal gridded data sets of observed extremes indices underpin assessments of changes in climate extremes. However, similar efforts to enable the assessment of indices relevant to different sectors of society have been missing. Here we present a data set of sector‐specific indices, based on daily station data, that extends the HadEX3 data set of climate extremes indices. These additional indices, which can be used singly or in combinations, have been recommended by the World Meteorological Organization and are intended to empower decision makers in different sectors with accurate historical information about how sector‐relevant measures of the climate are changing, especially in regions where in situ daily temperature and rainfall data are hard to come by. The annual and/or monthly indices have been interpolated on to a 1.875° × 1.25° longitude‐latitude grid for 1901–2018. We show changes in globally‐averaged time series of these indices in comparison with reanalysis products. Changes in temperature‐based indices are consistent with global scale warming, with days with Tmax > 30°C (TXge30) increasing virtually everywhere with potential impacts on crop fertility. At the other end of the scale, the number of days with Tmin < −2°C (TNltm2) are reducing, decreasing potential damage from frosts. Changes in heat wave characteristics show increases in the number, duration and intensity of these extreme events in most places. The gridded netCDF files and, where possible, the underlying station indices are available from https://www.metoffice.gov.uk/hadobs/hadex3 and https://www.climdex.org.