bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automating the manufacturing process of control cables for the automotive components industry
Authors: Pinto João Pedro Madureira , Campilho Raul Duarte Salgueiral Gomes , da Silva Francisco José Gomes 
Published: November 2024

AbstractThe automotive industry is of great importance to the global economy for all the jobs it generates, the materials it exploits, or the technical and technological development it drives. The control cables provide essential functions for any car, such as the opening of doors and windows, or activating the handbrake and accelerator. The process of assembling control cables involves numerous steps and the manufacture of various components, e.g., the spiral, inner and outer coating, spiral terminal, and terminals. This work deals with the injection process of control cable terminals. There is a need to separate the injection set into its constituent parts, namely the terminals and the feeding system (gate), which is carried out manually, potentially leading to health problems, e.g., tendonitis. This paper presents the development of an automated pneumatic system for the separation of control cable terminals from the feeding system. The novel pneumatic system addresses a significant gap in the automation of Zamak terminal injection by handling seven different terminal types under strict spatial limitations. The automated solution resulted in a 39% reduction in production time, enhancing the process efficiency. Moreover, by adopting the Design Science Research (DSR) methodology, the work contributes not only to industrial practice but also to the theoretical understanding of the process. This approach to automating a repetitive and ergonomically challenging task represents a step forward in the field of manufacturing technology that can be extended to other fabrication processes, leading to process improvements and competitiveness.
PDA Stenting for Ductal-Dependent Cyanotic Congenital Heart Disease: History and View From 10,000 Feet
Authors: Moore John W. 
Published: November 2024

AbstractThis article provides a historical review and a current perspective on the procedures used to palliate cyanosis in ductal-dependent infants. Eighty years ago, Helen Taussig, Alfred Blalock and Vivien Thomas developed the first effective treatment. The Blalock-Taussig-Thomas (BTT) shunt is the historical predecessor of both the contemporary modified BTT shunt and interventional stenting of the Patent Ductus Arteriosus (PDA). The surgical shunt was firmly established therapy before catheterization was born, and PDA stenting was not possible until the technologies designed to address coronary heart disease were developed. The momentum of long-established surgical therapy inhibited clinical development of PDA stenting. Nevertheless, available clinical outcomes, though limited, appear to favor PDA stenting, and first-line therapy may be shifting from the modified BTT shunt to PDA stenting. More definitive data should arise from a randomized controlled trial.
Recent advances in nuclear medicine and their role in inflammatory arthritis: focus on the emerging role of FAPI PET/CT
Authors: Schmidkonz Christian , Kuwert Torsten , Götz Theresa Ida , Ramming Andreas , Atzinger Armin 
Published: November 2024

AbstractImaging molecular processes associated with inflammatory disease has been revolutionized by hybrid imaging using positron emission tomography/computed tomography (PET/CT). PET/CT visualizes metabolic activity as well as protein expression and provides a comprehensive whole-body evaluation. It has the potential to reveal inflammation prior to detection of structural changes in inflammatory joint diseases. FAP is a type II transmembrane glycoprotein overexpressed not only in the stroma of tumors but also in the fibrotic processes of certain immune-mediated disorders. The recent introduction of fibroblast activation protein inhibitors (FAPI) labeled by positron emitters and thus suitable for PET/CT allows to investigate FAP expression in vivo. This review will focus on the use of FAPI-PET/CT for the diagnosis and evaluation of treatment response in inflammatory joint diseases.
Arthroscopic scaphocapitate fusion without bone graft; clinical and radiological outcomes
Authors: Ghoneim Sherif , Kamal Raafat , Semaya Ahmed , Hasan Mohammad 
Published: November 2024

Abstract

Purpose
Scaphocapitate fusion (SCF) is an important surgical option for carpal pathologies, which are difficult to manage as Kienböck's disease. With the advantages of arthroscopy combined with percutaneous fixation techniques, arthroscopic scaphocapitate fusion can have the best outcome for the patient from a functional perspective. This study aims to evaluate the clinical, radiological, and functional results of arthroscopic SCF.

Methods
The study included thirty patients with stage IIIB and IIIC Kienböck's disease. The articular surfaces were prepared using arthroscopic burr then fixed by Herbert screw. The mean follows up period was about 29 months.

Results
SCF was achieved in approximately seven weeks. There was a statistically significant difference in pre- and post-operative grip strength and Mayo wrist score.

Conclusion
According to our study findings, arthroscopic SCF may be performed with significant improvements and satisfactory clinical and functional results in patients with stage IIIB and IIIC Kienböck’s disease.
Subjective global assessment for nutritional screening and its impact on surgical outcomes: A prospective study in older patients with colorectal cancer
Authors: Teraishi Fuminori , Yoshida Yusuke , Shoji Ryohei , Kanaya Nobuhiko , Matsumi Yuki , Shigeyasu Kunitoshi , Kondo Yoshitaka , Kagawa Shunsuke , Tamura Rie , Matsuoka Yoshikazu , Morimatsu Hiroshi , Mitsuhashi Toshiharu , Fujiwara Toshiyoshi 
Published: November 2024

Abstract
Purpose
Our perioperative management center provides preoperative intervention and functional and nutritional assessments for colorectal cancer patients aged over 75 years. This study evaluated the associations of preoperative nutritional status with postoperative outcomes and prognosis in colorectal cancer patients aged 75 years or older.

Methods
This was a prospective, observational study of 71 colorectal cancer patients aged 75 years or older who underwent surgery between July 2020 and September 2022. The Subjective Global Assessment (SGA) was evaluated as a nutritional index. The patients were classified into three groups: SGA-A (well nourished), B (moderately malnourished), and C (severely malnourished), and the correlations with postoperative outcomes and prognosis were examined.

Results
The median age of the 71 patients (34 males, 37 females) was 78 (75–92) years, and their median body mass index (BMI) was 22.3 (13.4–31.9) kg/m2. Forty-eight patients had colon cancer, and 23 had rectal cancer. On the SGA, 28 patients were SGA-A, 25 SGA-B, and 18 SGA-C. The SGA-B/C group had significantly higher BMI (p < 0.01) and more ICU admissions (p = 0.02). The G8 score was significantly lower (p = 0.03) in the SGA-B/C group, suggesting coexisting functional decline. In terms of postoperative outcomes, the SGA-B/C group had a significantly longer postoperative hospital stay (p = 0.04). The 3-year OS rates for all stages were 100% in the SGA-A group and 49.7% in the SGA-B/C group (p = 0.03), while the 3-year OS rates for patients excluding Stage IV were 100% in the SGA-A group and 68.5% in the SGA-B/C group, not significantly different (p = 0.14). The 3-year RFS rate was 95.5% in the SGA-A group and 65.3% in the SGA-B/C group (p = 0.15).

Conclusion
The SGA is a promising nutritional index associated with short-term outcomes in older patients undergoing colorectal cancer surgery. The SGA can be assessed in a few minutes during an outpatient visit, making it useful for routine clinical use.
Changes in equine strongylid communities after two decades of annual anthelmintic treatments at the farm level
Authors: Kuzmina Tetiana A. , Königová Alžbeta , Antipov Anatoliy , Kuzmin Yuriy , Kharchenko Vitaliy , Syrota Yaroslav 
Published: November 2024

AbstractThe aim of this study was to assess the changes in strongylid communities of domestic horses after two decades of regular anthelmintic treatments; the changes in prevalence and relative abundance of individual strongylid species and their contribution to the observed alterations were estimated. The study was conducted in 2023; data collected in 2004 were used for comparison; 39 horses from two farms in Ukraine (22 horses in 2004 and 17 in 2023) were examined. In total, 18,999 strongylid specimens were collected by in vivo diagnostic deworming method before (in 2004, 9119 specimens) and after (in 2023, 9880 specimens) frequent application of anthelmintics. Strongylids were identified morphologically. Thirteen strongylid species were found in horses in 2023; only small strongylids (Cyathostominae) were recorded. In 2004, 21 species were found: 6 species of large strongylids (Strongylinae) and 15 of cyathostomins. Species richness (Margalef’s index) and species diversity (Shannon’s and Simpson’s indexes) decreased over two decades on both farms; the Berger-Parker dominance index for C. nassatus dramatically increased up to 74.4. The dissimilarity of strongylid communities of 2023 and 2004 was primarily connected with the disappearance of large strongylids and rare cyathostomin species after two decades of regular anthelmintic treatments. SIMPER analysis revealed that C. nassatus and C. catinatum mostly contributed to this dissimilarity. A trend of gradual transformation of the strongylid community structure from multimodal (in 2004) to bimodal (in 2023) was observed on both farms.
Finsler currents
Authors: Basso Giuliano 
Published: November 2024

Abstract
We propose a slight variant of Ambrosio and Kirchheim’s definition of a metric current. We show that with this new definition it is possible to obtain certain volume functionals from Finsler geometry as mass measures of currents. As an application, we obtain a whole family of extendibly convex

$$n$$

n

-volume densities. This family includes the circumscribed Riemannian and the mass* volume densities.
Histological improvement of fibrosis in patients with hepatitis C who achieved a 5-year sustained virological response to treatment with direct-acting antivirals
Authors: Iwamoto Takayuki , Nozaki Yasutoshi , Inoue Takanori , Suda Takahiro , Mizumoto Rui , Arimoto Yuki , Ohta Takashi , Yamaguchi Shinjiro , Ito Yoshiki , Sudo Yoshiko , Yoshimura Michiko , Kai Machiko , Sasaki Yoichi , Tahata Yuki , Hikita Hayato , Takehara Tetsuo , Hagiwara Hideki 
Published: November 2024

Abstract

Background
The histological improvement in liver fibrosis in patients with hepatitis C who achieved a sustained virological response (SVR) to direct-acting antiviral (DAA) treatment has not been comprehensively investigated. Therefore, we assessed the histological changes in liver fibrosis among patients with hepatitis C who underwent long-term follow-up after achieving SVR to treatment with DAA.

Methods
This retrospective study enrolled 71 patients with hepatitis C who achieved SVR to treatment with DAA. Changes in histological liver fibrosis and fibrosis biomarkers (hyaluronic acid, type 4 collagen 7S, Mac-2 binding protein glycosylation isomer, autotaxin, and Fibrosis-4 index) were assessed before and 5 years after treatment. Transient elastography using the FibroScan® device was performed 5 years after treatment. Advanced fibrosis and cirrhosis were defined as Ishak fibrosis scores of ≥ 4 and ≥ 5, respectively.

Results
Histological liver fibrosis significantly regressed after SVR. Fibrosis biomarkers were significantly reduced after SVR. Transient elastography was the most helpful after evaluating the predictive performance of advanced fibrosis and cirrhosis after SVR, with an area under the receiver operating characteristic curve of 0.965 and a cut-off value of 6.75 kPa. The cut-off values of serum fibrosis biomarkers for identifying advanced fibrosis and cirrhosis after SVR were lower than those before treatment.

Conclusions
Long-term SVR to treatment with DAA ameliorated histological liver fibrosis. Noninvasive tests helped predict the degree of liver fibrosis after SVR, but their cut-off values should be redefined to avoid underestimation of liver fibrosis.
Unsupervised Machine Learning for Data-Driven Rock Mass Classification: Addressing Limitations in Existing Systems Using Drilling Data
Authors: Hansen Tom F. , Aarset Arnstein 
Published: November 2024

AbstractRock mass classification systems are crucial for assessing stability and risk in underground construction globally and guiding support and excavation design. However, these systems, developed primarily in the 1970 s, lack access to modern high-resolution data and advanced statistical techniques, limiting their effectiveness as decision-support systems. We outline these limitations and describe how a data-driven system, based on drilling data, can overcome them. Using statistical information extracted from thousands of MWD-data values in one-meter sections of a tunnel profile, acting as a signature of the rock mass, we demonstrate that well-defined clusters can form a foundational basis for various classification systems. Representation learning was used to reduce the dimensionality of 48-value vectors via a nonlinear manifold learning technique (UMAP) and linear principal component analysis (PCA) to enhance clustering. Unsupervised machine learning methods (HDBSCAN, Agglomerative Clustering, K-means) clustered the data, with hyperparameters optimised through multi-objective Bayesian optimisation. Domain knowledge improved clustering by adding extra features to core MWD-data clusters. We structured and correlated these clusters with physical rock properties, including rock type and quality, and analysed cumulative distributions of key MWD-parameters to determine if clusters meaningfully differentiate rock masses. The ability of MWD data to form distinct rock mass clusters suggests substantial potential for future classification systems using this objective, data-driven methodology, minimising human bias.
Acceleration by stepsize hedging: Silver Stepsize Schedule for smooth convex optimization
Authors: Altschuler Jason M. , Parrilo Pablo A. 
Published: November 2024

AbstractWe provide a concise, self-contained proof that the Silver Stepsize Schedule proposed in our companion paper directly applies to smooth (non-strongly) convex optimization. Specifically, we show that with these stepsizes, gradient descent computes an $$\varepsilon $$
ε
-minimizer in $$O(\varepsilon ^{-\log _{\rho } 2}) = O(\varepsilon ^{-0.7864})$$

O

(

ε

-

log
ρ

2

)

=
O

(

ε

-
0.7864

)

iterations, where $$\rho = 1+\sqrt{2}$$

ρ
=
1
+

2

is the silver ratio. This is intermediate between the textbook unaccelerated rate $$O(\varepsilon ^{-1})$$

O
(

ε

-
1

)

and the accelerated rate $$O(\varepsilon ^{-1/2})$$

O
(

ε

-
1
/
2

)

due to Nesterov in 1983. The Silver Stepsize Schedule is a simple explicit fractal: the i-th stepsize is $$1 + \rho ^{\nu (i)-1}$$

1
+

ρ

ν
(
i
)
-
1

where $$\nu (i)$$

ν
(
i
)

is the 2-adic valuation of i. The design and analysis are conceptually identical to the strongly convex setting in our companion paper, but simplify remarkably in this specific setting.
Partially ordered stochastic conformance checking
Authors: Leemans Sander J. J. , Brockhoff Tobias , van der Aalst Wil M. P. , Polyvyanyy Artem 
Published: November 2024

Abstract
Process mining aids organisations in improving their operational processes by providing visualisations and algorithms that turn event data into insights. How often behaviour occurs in a process—the stochastic perspective—is important for simulation, recommendation, enhancement and other types of analysis. Although the stochastic perspective is important, the focus is often on control flow. Stochastic conformance checking techniques assess the quality of stochastic process models and/or event logs with one another. In this paper, we address three limitations of existing stochastic conformance checking techniques: inability to handle uncertain event data (e.g. events having only a date), exponential blow-up in computation time due to the analysis of all interleavings of concurrent behaviour and the problem that loops that can be unfolded infinitely often. To address these challenges, we provide bounds for conformance measures and use partial orders to encode behaviour. An open-source implementation is provided, which we use to illustrate and evaluate the practical feasibility of the approach.
Comparative genomic analyses of aerobic planctomycetes isolated from the deep sea and the ocean surface
Authors: Øvreås Lise , Kallscheuer Nicolai , Calisto Rita , Bordin Nicola , Storesund Julia E. , Jogler Christian , Devos Damien , Lage Olga 
Published: November 2024

Abstract
On the deep and dark seafloor, a cryptic and yet untapped microbial diversity flourishes around hydrothermal vent systems. This remote environment of difficult accessibility exhibits extreme conditions, including high pressure, steep temperature- and redox gradients, limited availability of oxygen and complete darkness. In this study, we analysed the genomes of three aerobic strains belonging to the phylum Planctomycetota that were isolated from two deep-sea iron- rich hydroxide deposits with low temperature diffusive vents. The vents are located in the Arctic and Pacific Ocean at a depth of 600 and 1,734 m below sea level, respectively. The isolated strains Pr1dT, K2D and TBK1r were analyzed with a focus on genome-encoded features that allow phenotypical adaptations to the low temperature iron-rich deep-sea environment. The comparison with genomes of closely related surface-inhabiting counterparts indicates that the deep-sea isolates do not differ significantly from members of the phylum Planctomycetota inhabiting other habitats, such as macroalgae biofilms and the ocean surface waters. Despite inhabiting extreme environments, our “deep and dark”-strains revealed a mostly non-extreme genome biology.
Real-world quality-of-life of patients with HR+/HER2− advanced breast cancer treated with palbociclib plus endocrine therapy: EORTC QLQ-C30 results from POLARIS
Authors: Rocque Gabrielle B. , Blum Joanne L. , Ji Yan , Pluard Timothy , Migas John , Lakhanpal Shailendra , Jepsen Erin , Gauthier Eric , Wang Yao , Montelongo Monica Z. , Cappelleri Joseph C. , Karuturi Meghan S. , Tripathy Debu 
Published: November 2024

Abstract

Purpose
To evaluate patient-reported health-related quality-of-life (QoL) in patients with hormone receptor–positive/human epidermal growth factor receptor 2–negative (HR+/HER2−) advanced/metastatic breast cancer (ABC) treated with palbociclib in the longitudinal real-world study, POLARIS.

Methods
Data were prospectively collected from adult patients with HR+/HER2− ABC treated with palbociclib plus endocrine therapy (ET) in routine clinical practice. QoL was assessed with the European Organisation for Research and Treatment of Cancer Quality-of-Life Questionnaire-Core 30 (EORTC QLQ-C30) and reported at baseline and months 6, 12, and 18. Data were expressed as absolute scores at a given time and change from baseline for global QoL and functional/symptom scales. Global Heath Status (GHS)/QoL scores were also determined across 6 patient subgroup categories (e.g., age, visceral disease status). Additionally, the proportions of patients with scores below (functional scales) or above (symptom scales) EORTC-validated thresholds reflecting clinical importance of a health problem were determined.

Results
Among patients treated with palbociclib plus ET (N = 1250) who completed questionnaires at any of the study timepoints, mean GHS/QoL scores at months 6 (69.3), 12 (70.1), and 18 (69.9) were higher than baseline (64.0). Similar trends were observed for functional and symptom scales. Mean GHS/QoL scores over time were consistent across the evaluated subgroups. Decreases in the proportions of patients with clinically important functional impairment/symptoms were observed for most functional/symptom scales from baseline through month 18.

Conclusion
Findings from this real-world study indicate patients with HR+/HER2− ABC treated with palbociclib plus ET maintain their QoL for at least 18 months.
Clinical Trial Registration: NCT03280303; registered 12 September 2017
The Sociable and the Deviant: A Latent Profile Analysis of HEXACO and the Dark Triad
Authors: She Minnie H. C. , Ronay Richard , den Hartog Deanne N. 
Published: November 2024

AbstractThis paper adopts a person-centered approach to explore how personality traits from the HEXACO and Dark Triad cluster into profiles. We examine how these emergent profiles correlate with behavioral deviance and prosociality. Three studies (total N = 792) reveal five qualitatively different latent profiles which we label: ‘emotional dysregulated’, ‘dark social recluse’, ‘all-round malevolent’, ‘socially considerate’, and ‘social narcissist’. These profiles were differentially related to self-reported deviance and prosociality, as well as behavioral expressions of deviance. In particular, the ‘all-round malevolent’ openly expressed their deviance in both word and deed. However, although the ‘social narcissist’ disguised their deviance when self-reporting, they cheated as much as the ‘all-round malevolent’ in behavioral tasks when they believed themselves unaccountable. These findings suggest that certain combinations of HEXACO and Dark Triad traits may be more pernicious than Dark Triad alone.
Economics, happiness and climate change: exploring new measures of progress
Authors: Casau Margarida , Ferreira Dias Marta , Leite Mota Gabriel 
Published: November 2024

AbstractThis research explores the relationship between environmental sustainability, well-being, and economic output, specifically critiquing the predominant reliance on GDP as the main progress indicator. The study selects variables such as GDP, well-being metrics, and environmental indicators based on their critical roles in reflecting both economic performance and its broader impact on societal and planetary health. By evaluating prominent indexes such as the Human Development Index (HDI), Planetary pressures–adjusted Human Development Index (PHDI), the Sustainable Development Goals (SDG) Index and the Happy Planet Index (HPI), this paper highlights the limitations of GDP and the need for a multi-dimensional measure that accounts for the well-being of people and the planet. The findings suggest a positive correlation between GDP and certain environmental degradation metrics, reinforcing the need for sustainable economic models. Drawing from both quantitative and qualitative insights, we advocate for a paradigm shift towards a “happy economy”, and suggest that policymakers should consider integrating environmental and social well-being indicators into the System of National Accounts, and adjust fiscal policies and investment strategies to promote sustainable practices that reduce ecological footprints while enhancing quality of life.