bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Impact of Infrastructure Escalation on Services and Economic Growth in Southern East Java
Authors: Wibowo Angga Trie Sugiarto , Handoko V. Rudy , Rochim Achluddin Ibnu 
Published: July 2023

The purpose of this study is to determine the efforts to improve infrastructure in services and economic growth as well as to determine the impact of increased infrastructure on services and economic growth. The results showed that efforts to improve infrastructure in services and economic growth one of them is the realization of the construction of the Southern Cross Line (JLS). JLS is included in one of the efforts to improve infrastructure in services and economic growth, especially in the southern part of Java. JLS development is a national project. JLS is part of the construction of the south coast of Java Road (Pansela), starting from Pacitan, Trenggalek, Tulungagung Blitar, Malang, Lumajang, Jember and Banyuwangi. The results also show that through the construction of the Southern Cross Line (JLS) is expected to improve services and economic growth, especially economic growth in the southern part of Java considering the income and economic inequality between Southern and Northern Java. The southern part of Java can be categorized as poor, given the limited access to infrastructure.
A research on the improved rotational robustness for thoracic organ delineation by using joint learning of segmenting spatially‐correlated organs: A U‐net based comparison
Authors: Zhang Jie , Yang Yiwei , Fang Min , Xu Yujin , Ji Yongling , Chen Ming 
Published: July 2023

AbstractPurposeTo study the improved rotational robustness by using joint learning of spatially‐correlated organ segmentation (SCOS) for thoracic organ delineation. The network structure is not our point.MethodsThe SCOS was implemented in a U‐net‐like model (abbr. SCOS‐net) and evaluated on unseen rotated test sets. Two hundred sixty‐seven patients with thoracic tumors (232 without rotation and 35 with rotation) were enrolled. The training and validation images came from 61 randomly chosen unrotated patients. The test data included two sets. One consisted of 3000 slices from the rest 171 unrotated patients. They were rotated by us by –30°∼30°. One was the images from the 35 rotated patients. The lung, heart, and spinal cord were delineated by experienced radiation oncologists and regarded as ground truth. The SCOS‐net was compared with its single‐task learning counterparts, two published multiple learning task settings, and rotation augmentation. Dice, 3 distance metrics (maximum and 95th percentile of Hausdorff distances and average surface distance (ASD)) and the number of cases where ASD = infinity were adopted. We analyzed the results using visualization techniques.ResultsIn terms of no augmentation, the SCOS‐net achieves the best lung and spinal cord segmentations and comparable heart delineation. With augmentation, SCOS performs better in some cases.ConclusionThe proposed SCOS can improve rotational robustness, and is promising in clinical applications for its low network capacity and computational cost.
A data‐driven fault diagnosis of high speed maglev train levitation system
Authors: Wang Zhiqiang , Long Zhiqiang , Luo Jie , He Zhangming , Li Xiaolong 
Published: July 2023

SummaryThe levitation system is a crucial component of a maglev train as it is responsible for levitating the train body above the track. Real‐time diagnosis of faults in the levitation system is essential for commercial operational purposes. Despite extensive research on the mechanism of the levitation system, it is challenging to obtain an accurate system model due to unavoidable noise and disturbances. To address this issue, this paper proposes a fault diagnosis method for the maglev train levitation system. This method combines model‐based fault diagnosis with a data‐based implementation approach to maximize the benefits of both approaches while considering system noise and model uncertainty. Additionally, a secondary confirmation of fault isolation results is proposed to improve the reliability of fault diagnosis and minimize the effect of false alarms. Finally, a subsequent processing of fault data is recommended to enrich fault analysis methods.
Hybrid Marine Predators and Border Collie Optimization algorithm for multipath routing in IoT
Authors: Kumar Rakesh 
Published: July 2023

SummaryInternet of Things (IoT) is a network of smart things that connects people and objects for gathering and exchanging information by means of embedded sensor. IoT‐based wireless sensor network (WSN) nodes are monitored as a resource parameter at the variety of methods, including resource calculation, energy resource, and storage resource, with multipath routing protocols necessary to enable extended network lifespan and achieve high energy utilization. The existing routing protocols did not provide optimal path from the multipath route. Hence, in this manuscript, a Hybrid Marine Predators and Border Collie Optimization algorithm is proposed for multipath routing in IoTs. The main aim of this endeavor is to “increase network lifetime.” IoT is simulated initially and multipath routing initiates in internet of things network. Multipath routing is achieved by proposed Hyb‐MP‐BCOA; this is the combination of Hybrid Marine Predators Algorithm and Border Collie Optimization algorithm. The proposed Hyb‐MP‐BCOA algorithm chooses the optimum path from the multiple path obtainable for routing, depending upon fitness parameter, like context awareness, network lifetime, residual energy, trust, and delay. Based on the fitness parameter, the optimal path is selected by using Hyb‐MP‐BCOA algorithm. Finally, the proposed Hyb‐MP‐BCOA‐MR‐IoT model is applied in MATLAB, and efficacy of proposed technique is estimated by using various performance metrics, like drop, normalized network energy, lifetime of network, delay, throughput, energy consumed, packet delivery ratio, and number of sensor nodes versus aggregation level. The proposed method attains lower delay of 14.285%, 50%, 53.846%, and 57.142%, lower packet drop of 14.285%, 50%, 53.846%, and 57.142%, lower energy consumption compared with existing methods such as multiobjective sun flower optimization with gray wolf optimizer (GWO) for multipath routing in IoT (SFO‐GWO‐MR‐IoT), multiobjective Whale Lion Fireworks optimization algorithm and fitness function for multipath routing in IoT (WLFA‐MR‐IoT), multipath routing in IoT using shuffled frog leaping algorithm (SFLA‐MR‐IoT), and multipath routing in IoT using hybrid Whale Optimization Algorithm‐Moth Flame Optimization (MFO)(hyb‐WOA‐MFO‐MR‐IoT). Finally, the safe communication is attained in the IoT network.
Efficacy of Systemic Bevacizumab for Recurrent Respiratory Papillomatosis with Pulmonary Involvement
Authors: So Raymond J. , Hidalgo Lopez Julio C. , Ballestas Samir A. , Klein Adam M. , Steuer Conor , Shin Dong M. , Abousaud Marin , Teng Yong , Saba Nabil F. , Tkaczuk Andrew T. , Schaefer Eric S. , Seiwert Tanguy Y. , McClellan Kim , Best Simon R. 
Published: July 2023

ObjectivesPulmonary papillomatosis is a rare but severe manifestation of recurrent respiratory papillomatosis (RRP). Efficacy data of systemic bevacizumab for pulmonary RRP are limited. This study's objective was to characterize disease response of pulmonary RRP to systemic bevacizumab.MethodsA retrospective review was performed to identify patients with pulmonary RRP seen at three medical institutions. Clinical symptoms, CT findings, and disease response were compared before and after initiation of systemic bevacizumab therapy. Disease response was categorized as complete response, partial response, stabilization, or progression for each subsite involved by papilloma.ResultsOf the 12 pulmonary RRP patients treated with systemic bevacizumab, 4 (33.3%) were male, and 11 (91.7%) were juvenile‐onset RRP patients. All presented with laryngeal, tracheal, and pulmonary RRP. The median (range) age at first bevacizumab infusion was 48.1 (19.5–70.2) years. Progression to pulmonary malignancy was identified in 3 (25.0%) patients, 2 before initiation of and 1 after complete cessation of bevacizumab therapy. Clinical symptoms such as dyspnea (75.0% vs. 25.0%; p = 0.01) and dysphagia and/or odynophagia (33.3 vs. 0.0%; p = 0.03) were significantly decreased following bevacizumab therapy. Compared with pre‐treatment baseline, 9 (75.0%) patients experienced a stable‐to‐partial response in the lungs to systemic bevacizumab, and 10 (83.3%) experienced partial‐to‐complete responses in the larynx and trachea.ConclusionSystemic bevacizumab is effective in stabilizing progression in even the most severe cases of RRP, with both a dramatic reduction in laryngeal and tracheal disease as well as a stable‐to‐partial response of pulmonary involvement in a majority of patients.Level of Evidence4 Laryngoscope, 134:577–581, 2024
A multi-objective nonlinear integer programming model for mixed runway operations within the TMAs
Authors: Kaplan Z. , Çetek C. , Saraç T. 
Published: July 2023

AbstractGlobal air traffic demand has shown rapid growth for the last three decades. This growth led to more delays and congestion within terminal manoeuvring areas (TMAs) around major airports. The efficient use of airport capacities through the careful planning of air traffic flows is imperative to overcome these problems. In this study, a mixed-integer nonlinear programming (MINLP) model with a multi-objective approach was developed to solve the aircraft sequencing and scheduling problem for mixed runway operations within the TMAs. The model contains fuel cost functions based on airspeed, altitude, bank angle, and the aerodynamic characteristics of the aircraft. The optimisation problem was solved by using the
$\varepsilon$
-constraint method where total delay and total fuel functions were simultaneously optimised. We tested the model with different scenarios generated based on the real traffic data of Istanbul Sabiha Gökçen Airport. The results revealed that the average total delay and average total fuel were reduced by 26.4% and 6.7%, respectively.
Prospective External Validation of an Algorithm Predicting Hourly
Basal Insulin Infusion Rates from Characteristics of Patients with Type 1
Diabetes Treated with Insulin Pumps
Authors: Schmelzer Jana S. , Kahle-Stephan Melanie , Meier Juris J. , Nauck Michael A. 
Published: July 2023

Abstract
Background We previously published an algorithm predicting 24 h
basal insulin infusion profiles in insulin pump-treated subjects with type 1
diabetes profiles from six subject characteristics. This algorithm was to be
externally validated in an independent environment and patient population.
Methods Thirty-two patients with pump-treated type diabetes were switched
to their individually algorithm-derived basal insulin infusion profile, and the
appropriateness of fasting glycemic control was scrutinized by means of a
supervised 24 h fast. Primary endpoint was appropriate fasting glycemic
control according to pre-defined criteria in at least 80% of the
cohort.
Results In 24 out of 32 patients switching to the algorithm-derived basal
insulin infusion rate and undergoing a 24-h fasting period, appropriate glycemic
control was achieved (=75%, lower than the pre-defined threshold
of 80%), two patients discontinued the fast due to hyperglycemia, and
six finished the fasting period, however, with inappropriate fasting glycemic
control (entirely due to hyperglycemic episodes). There were no obvious
differences in baseline characteristics between those with appropriate vs.
inappropriate fasting glycemic control on the basal insulin infusion rate
provided by the algorithm.
Conclusion In conclusion, when testing fasting glycemic control with an
algorithm-derived individual basal insulin infusion profile during a
24 h fasting period in a cohort unrelated in terms of the hospital
environment and catchment area, the success rate was lower than a pre-defined
threshold for concluding utility of this algorithm. Therefore, applying this
algorithm in order to initiate or optimize basal insulin infusion profiles in
type 1 diabetes cannot be generally recommended.
The Social Space of the Page
Authors: Sawday Jonathan 
Published: July 2023

Abstract
Karen Blixen’s modern short story entitled “The Blank Page” shows how a blank space might be invested with ambiguous meaning. This chapter begins by discussing paper manufacture in the early modern period, and (in particular) the role of women in this kind of labor. Empty spaces on either a hand-written or printed page are considered as examples of significant social space. In letter writing, as well as in print, space was not merely a gap or a period of silence but an important signifier of courtesy (or the lack of it). These spaces were also configured as gendered, being compared to women’s faces or bodies. But providing such space also cost the printers money. This chapter looks at the way in which social space was created in printed books, as well as in hand-written letters and printed dedications, using works by Bess of Hardwick, Emilia Lanier, George Chapman, Edmund Spenser, John Florio, and Ben Jonson.
Vacant Leaves and Waste Blanks
Authors: Sawday Jonathan 
Published: July 2023

Abstract
Renaissance pages in both manuscript collections and printed books were sometimes left purposefully blank, although why this was the case is not always easy to establish. This chapter revolves around the “waste blanks” described in Shakespeare’s Sonnet 77, which is discussed in the context of Lady Jane Grey’s writings inscribed on “waste leaves” of a book she was reading immediately prior to her execution in 1554. But what, exactly, are “waste leaves?” This discussion leads into an investigation of the curious (and still not fully understood) instances of printed books with empty (usually verso) pages, such as Shakespeare’s The Passionate Pilgrime (1599). Consciously creating books with empty pages by interleaving printed books is considered, along with various models of the mind and information storage in the early modern period. Finally, the chapter explores the role of blank endpapers in printed books, and how, using the example of Robert Burton, they provided sometimes valued space for inscription.
Liaison
Authors: Nedecky Jason 
Published: July 2023

Abstract
The linking of two words by pronouncing a normally silent consonant at the end of the first word before an initial vowel sound of the second word is known as liaison. It is one of the most unique and complex aspects of French pronunciation. At one time, liaison was made sparingly in elevated French speech. In the nineteenth century, this began to change. Frequent liaison became a hallmark of education and upbringing. At the Comédie-Française, and in French poetry in general, the avoidance of back-to-back vowels led to a predilection for frequent liaison. This carries through to opera and mélodie, where in general, liaison is made much more often than in modern speech. Liaison is considered either obligatory, optional, or forbidden. It is the optional category that requires the most explanation in singing. This chapter addresses how to make decisions about liaison in opera and mélodie, including the handling of special cases and exceptions in the repertoire. The method for pronunciation of final letters in liaison is covered, as well as alterations to pronunciation with liaison from masculine adjectives. Musical examples illustrate all concepts. A section on the use of liaison in common vocabulary provides instruction on a case-by-case basis.
Evolving Tomorrow
Authors: Cutter Asher D. 
Published: July 2023

Abstract
Evolving Tomorrow scrutinizes how evolutionary change happens, how modern-day genetic engineering can influence it, and what consequences of these forces we can expect to see in the future of the Anthropocene era. The first part of this book explores how living organisms change over time and how it can happen fast. It explains nature’s evolutionary forces, how these forces interplay with genetics, and the intricacies of genetic biotechnologies like CRISPR-Cas9 genome editing. Some genetic engineering with CRISPR-Cas9 gene drives will present a new force of evolution, termed genetic welding, if unleashed into the wild. Extensive real-world examples from nature draw on the author’s decades of experience conducting research around the world in the lab and in the field. The second part of the book investigates the applications and implications of manipulating evolution and genetic engineering to alter and create new species. It explores the ecosystem consequences and environmental bioethics of changes to plants and animals, including through de-extinction, rewilding, and invasive species. It deliberates competing perspectives of the meaning of wild and nature. It considers the ethical conundrums of genetic engineering of our own species, including the potential emergence of a new form of eugenics. The ideas developed in this book build the crucial links across evolution, ecology, biotechnology, and ethics to ground how global society will decide how and when it acts to shape the inevitable evolutionary changes that accumulate in the world of tomorrow and throughout the next millennia.
Fast numerical techniques for FE simulations in electrical capacitance tomography
Authors: Neumayer M. , Suppan T. , Bretterklieber T. , Wegleiter H. , Fox Colin 
Published: July 2023

Purpose
Nonlinear solution approaches for inverse problems require fast simulation techniques for the underlying sensing problem. In this work, the authors investigate finite element (FE) based sensor simulations for the inverse problem of electrical capacitance tomography. Two known computational bottlenecks are the assembly of the FE equation system as well as the computation of the Jacobian. Here, existing computation techniques like adjoint field approaches require additional simulations. This paper aims to present fast numerical techniques for the sensor simulation and computations with the Jacobian matrix.

Design/methodology/approach
For the FE equation system, a solution strategy based on Green’s functions is derived. Its relation to the solution of a standard FE formulation is discussed. A fast stiffness matrix assembly based on an eigenvector decomposition is shown. Based on the properties of the Green’s functions, Jacobian operations are derived, which allow the computation of matrix vector products with the Jacobian for free, i.e. no additional solves are required. This is demonstrated by a Broyden–Fletcher–Goldfarb–Shanno-based image reconstruction algorithm.

Findings
MATLAB-based time measurements of the new methods show a significant acceleration for all calculation steps compared to reference implementations with standard methods. E.g. for the Jacobian operations, improvement factors of well over 100 could be found.

Originality/value
The paper shows new methods for solving known computational tasks for solving inverse problems. A particular advantage is the coherent derivation and elaboration of the results. The approaches can also be applicable to other inverse problems.
Audit quality and engagement partner busyness: The role of internal resource allocation
Authors: Suzuki Katsushi , Takada Tomomi 
Published: July 2023

AbstractPrior studies have found that engagement partner busyness influences audit effectiveness. The more workload partners have from clients, the busier partners will be, resulting in lower audit quality. However, internal resources available to partners can attenuate the partners’ work burden, although the moderating effect of such resources has been mostly overlooked in the literature. As partners’ work burden could lessen for a partner with more internal resources, we elaborate on its effect in this study. We examine the following types of internal resources: (1) availability of higher‐ranked personnel and (2) accumulated client‐specific information. Our results show that engagement partners reduce audit quality for a client when partners bear higher work burden from other clients, for which limited internal resources are available. Moreover, the results indicate that this mutual impact on the audit quality of partners’ workload and internal resource availability for other clients is more pronounced for non‐Big 4 clients. These results suggest that internal resource allocation is critical for quality control, especially for non‐Big 4 audit firms.
The relevance of emotional intelligence in social work practice and education
Authors: Matthews Hawa 
Published: July 2023

This article presents a discussion of the concept of emotional intelligence and provides a rationale with reference to the relevant literature on the concept and significance of emotional intelligence in social work education. In this piece I argue that emotions can influence moral decision making in social work and may act as moral markers and motivators for social work practitioners and students. It offers my viewpoint on emotional intelligence based on my practice experience as a registered social worker, a social work educator and a learner completing a PhD in social work. Finally, I explicate some suggestions to further include emotional intelligence in the social workers’ ongoing professional development and social work students’ education.
Strengths of family carers: Looking after a terminally ill adult under 65 years of age
Authors: James Mary P , Reid Kate 
Published: July 2023

Introduction: To learn of a terminal illness is devastating at any age. How much more so when it occurs in early or mid-adulthood, when people are busy with family and career goals. Those facing death when under 65 years of age are a group whose voice is virtually invisible in the palliative caregiving literature. Yet one in every five people die in New Zealand before 65 years of age. For Māori, almost half will die under the age of 65.Methods: Eight bereaved family carers were interviewed with particular focus on the strengths that underpinned and sustained them through the spouse’s illness and death. The research utilised a social construction methodology and thematic analysis of the narratives was undertaken to identify the key themes.Findings: Following analysis, themes emerged relating to the Medical Circle of Care, the Home Circle of Care, Saying Goodbye, and Picking Up the Threads. Further analysis revealed the strengths of love, hope, family, teamwork and resilience in coping with these experiences.Conclusion: Three key findings for palliative care teams emerge from the research. These are to prioritise support for family carers, to enable access to Social Work, and the provision of targeted support for bereaved family carers.