bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quality costs and Industry 4.0: inspection strategy modelling and reviewing
Authors: Reis Angélica Muffato , Dall-Orsoletta Alaíze , Nunes Eusébio , Costa Lino , Sousa Sérgio 
Published: February 2024

Abstract
Inspection strategy (IS) is a key component impacting quality costs. Although often considered an inflexible output of initial quality plans, it may require revisions given the dynamic quality situation of the manufacturing system. It is from this background that the present study aims to model and compare different IS based on the cost of quality (CoQ) approach for a case study in the automotive manufacturing industry. While many computational inspection strategy models (ISMs) are available in the literature, most of them face application challenges and struggle to incorporate real-world data. The present study addresses this gap by developing a model that not only represents a real testing station in a manufacturing line but also uses historical production data. Additionally, in relation to model inputs, this study explores the challenges and opportunities of acquiring reliable quality cost estimates in the Industry 4.0 context. Among the main contributions of this work, the developed CoQ-based ISM can be used as a decision-making aiding tool for inspection revision and improvement, while conclusions about quality cost data collection in the industrial digitalization context can help advance the CoQ approach in practice.
Individual differences in GHB consumption in a new voluntary GHB self-administration model in outbred rats
Authors: Wolf Casper J. H. , Spoelder Marcia , Beurmanjer Harmen , Bulthuis Ronald , Schellekens Arnt F. A. , Homberg Judith R. 
Published: February 2024

Abstract
Background and purpose
The use of the recreational drug gamma-hydroxybutyric acid (GHB) has increased over the past decade, concomitantly leading to a higher incidence of GHB use disorder. Evidence-based treatment interventions are hardly available and cognitive effects of long-term GHB use remain elusive. In order to study the development of GUD and the causal effects of chronic GHB consumption, a GHB self-administration model is required.

Experimental approach
Long Evans rats had access to GHB in their home cage according to a two-bottle choice procedure for 3 months. Intoxication and withdrawal symptoms were assessed using an automated sensor-based setup for longitudinal behavioral monitoring. Rats were trained in an operant environment according to a fixed ratio (FR) 1, 2, and 4 schedule of reinforcement. Addiction-like behaviors were assessed through progressive ratio-, non-reinforced-, and quinine-adulterated operant tests. In addition, the novel object recognition test and elevated plus maze test were performed before and after GHB self-administration to assess memory performance and anxiety-like behavior, respectively.

Key results
All rats consumed pharmacologically relevant levels of GHB in their home cage, and their intake remained stable over a period of 3 months. No clear withdrawal symptoms were observed following abstinence. Responding under operant conditions was characterized by strong inter-individual differences, where only a subset of rats showed high motivation for GHB, habitual GHB-seeking, and/or continued responding for GHB despite an aversive taste. Male rats showed a reduction in long-term memory performance 3 months after home-cage GHB self-administration. Anxiety-like behavior was not affected by GHB self-administration.

Conclusion and implications
The GHB self-administration model was able to reflect individual susceptibility for addiction-like behavior. The reduction in long-term memory performance upon GHB self-administration calls for further research into the cognitive effects of chronic GHB use in humans.
Generalised Graph Laplacians and Canonical Feynman Integrals with Kinematics
Authors: Brown Francis 
Published: February 2024

AbstractTo any graph with external half-edges and internal masses, we associate canonical integrals which depend non-trivially on particle masses and momenta, and are always finite. They are generalised Feynman integrals which satisfy graphical relations obtained from contracting edges in graphs, and a coproduct involving both ultra-violet and infra-red subgraphs. Their integrands are defined by evaluating bi-invariant forms, which represent stable classes in the cohomology of the general linear group, on a generalised graph Laplacian matrix which depends on the external kinematics of a graph.
Shallow Convection Dataset Simulated by Three Different Large Eddy Models
Authors: Zhao Yaxin , Wang Xiaocong , Liu Yimin , Wu Guoxiong , Liu Yanjie 
Published: February 2024

AbstractShallow convection plays an important role in transporting heat and moisture from the near-surface to higher altitudes, yet its parameterization in numerical models remains a great challenge, partly due to the lack of high-resolution observations. This study describes a large eddy simulation (LES) dataset for four shallow convection cases that differ primarily in inversion strength, which can be used as a surrogate for real data. To reduce the uncertainty in LES modeling, three different large eddy models were used, including SAM (System for Atmospheric Modeling), WRF (Weather Research and Forecasting model), and UCLA-LES.Results show that the different models generally exhibit similar behavior for each shallow convection case, despite some differences in the details of the convective structure. In addition to grid-averaged fields, conditionally sampled variables, such as in-cloud moisture and vertical velocity, are also provided, which are indispensable for calculation of the entrainment/detrainment rate. Considering the essentiality of the entraining/detraining process in the parameterization of cumulus convection, the dataset presented in this study is potentially useful for validation and improvement of the parameterization of shallow convection.
Idiopathic ventricular fibrillation: is it a case for genetic testing?
Authors: van der Crabben S. N. , Wilde A. A. M. 
Published: February 2024

AbstractIdiopathic ventricular fibrillation (IVF) is a diagnosis of exclusion in sudden cardiac arrest (SCA) survivors. Although there are clear guidelines on the clinical work-up of SCA survivors, less than one in five patients receives a complete work-up. This increases the chances of erroneously labelling these patients as having IVF, while 10–20% of them have an inherited cardiac condition (ICC). Diagnoses of ICC increase over time due to (additional) deep phenotyping or as a result of spontaneous expression of ICC over time. As SCA survivors can also harbor (likely) pathogenic variants in cardiomyopathy-associated genes in the absence of a phenotype, or can have another ICC without a clear cardiac phenotype, the question arises as to whether genetic testing in this group should be routinely performed. Family history (mainly in the case of sudden death) can increase suspicion of an ICC in an SCA victim, but does not add great value when adults underwent a complete cardiological work-up. The diagnosis of ICC has treatment consequences not only for the patient but also for their family. Genetic diagnostic yield does not appear to increase with larger gene panels, but variants of unknown significance (VUS) do. Although VUS can be confusing, careful and critical segregation analysis in the family can be performed when discussed in a multidisciplinary team at a center of expertise with at least a cardiologist as well as a clinical and laboratory geneticist, thereby degrading or promoting VUS. When to introduce genetic testing in SCA survivors remains a matter of debate, but the combination of quick, deep phenotyping with additional genetic testing for the unidentifiable phenotypes, especially in the young, seems preferable.
Blue laser for the exclusive endoscopic transcanal approach to middle ear paraganglioma
Authors: Quer-Castells Mireia , Sandoval Marta , Larrosa Francisco 
Published: February 2024

Abstract
Background
The management of glomus tympanicum tumours can be challenging. Blue laser coagulation may improve bleeding control thus facilitating an endoscopic transcanal excision. The objective of this presentation is to illustrate the authors’ experience using this novel tool.

Methods
Case report of a patient that underwent exclusive endoscopic transcanal blue laser surgery of a class A2 glomus tympanicum tumour in a tertiary referral center.

Conclusion
The present study provides evidence of the safety and efficacy of endoscopic blue laser surgery, for the minimally invasive treatment of early-stage glomus tympanicum tumours.
Radiomics analysis of contrast-enhanced computerized tomography for differentiation of gastric schwannomas from gastric gastrointestinal stromal tumors
Authors: Zhang Cui , Wang Chongwei , Mao Guoqun , Cheng Guohua , Ji Hongli , He Linyang , Yang Yang , Hu Hongjie , Wang Jian 
Published: February 2024

Abstract
Purpose
To assess the performance of radiomics-based analysis of contrast-enhanced computerized tomography (CE-CT) images for distinguishing GS from gastric GIST.

Methods
Forty-nine patients with GS and two hundred fifty-three with GIST were enrolled in this retrospective study. CT features were evaluated by two associate chief radiologists. Radiomics features were extracted from portal venous phase images using Pyradiomics software. A non-radiomics dataset (combination of clinical characteristics and radiologist-determined CT features) and a radiomics dataset were used to build stepwise logistic regression and least absolute shrinkage and selection operator (LASSO) logistic regression models, respectively. Model performance was evaluated according to sensitivity, specificity, accuracy, and receiver operating characteristic (ROC) curve, and Delong’s test was applied to compare the area under the curve (AUC) between different models.

Results
A total of 1223 radiomics features were extracted from portal venous phase images. After reducing dimensions by calculating Pearson correlation coefficients (PCCs), 20 radiomics features, 20 clinical characteristics + CT features were used to build the models, respectively. The AUC values for the models using radiomics features and those using clinical features were more than 0.900 for both the training and validation groups. There were no significant differences in predictive performance between the radiomic and clinical data models according to Delong’s test.

Conclusion
A radiomics-based model applied to CE-CT images showed comparable predictive performance to senior physicians in the differentiation of GS from GIST.
Development of a novel lncRNA-derived immune gene score using machine learning-based ensembles for predicting the survival of HCC
Authors: Cai Qun , Li Guoqi , Zhu Mingyan , Zhuo Tingting , Xiao Jiaying 
Published: February 2024

Abstract
Background
Long noncoding RNAs (lncRNAs) are implicated in the tumor immunology of hepatocellular carcinoma (HCC).

Methods
HCC mRNA and lncRNA expression profiles were used to extract immune-related genes with the ImmPort database, and immune-related lncRNAs with the ImmLnc algorithm. The MOVICS package was used to cluster immune-related mRNA, immune-related lncRNA, gene mutation and methylation data on HCC from the TCGA. GEO and ICGC datasets were used to validate the model. Data from single-cell sequencing was used to determine the expression of genes from the model in various immune cell types.

Results
With this model, the area under the curve (AUC) for 1-, 3- and 5-year survival of HCC patients was 0.862, 0.869 and 0.912, respectively. Single-cell sequencing showed EREG was significantly expressed in a variety of immune cell types. Knockdown of the EREG target gene resulted in significant anti-apoptosis, pro-proliferation and pro-migration effects in HepG2 and HUH7 cells. Moreover, serum and liver tissue EREG levels in HCC patients were significantly higher than those of healthy control patients.

Conclusion
We built a prognostic model with good accuracy for predicting HCC patient survival. EREG is a potential immunotherapeutic target and a promising prognostic biomarker.
Anatomical and morphometric studies on the axial skeleton of ostrich (Struthio camelus)
Authors: Kassem Menna Allah M. , Tahon Reem R. , El-Ayat Medhat A. 
Published: February 2024

AbstractThe present study showed a descriptive anatomical study of the parts of the axial skeleton in the ostrich (Struthio camelus) in addition to a morphometric study of each bone. We studied 7 male ostriches aged from 1 to 3 years with an average weight of 120.00 kg. The cranium exhibited two vast orbits supported by a sclerotic ring. Hyoid apparatus was fine delicate horseshoe-shaped and comprised Basihyale, Urohyale, and Cornu branchiale. Cornu branchiale were paired and long rod-shaped, consisting of a proximal bony part Ceratobranchiale and slightly curved distal cartilaginous process, the Epibranchiale located on either side of the hyoid apparatus. The whole vertebral column comprised 54 vertebrae, including 18 cervical vertebrae, 7 separated thoracic vertebrae, a synsacrum, and 9 separated caudal vertebrae. Atlas had a butterfly-shape with a narrow width and large vertebral foramen. Axis had a protruded dens with a rounded tip that arose from the cranial surface of the body for articulation with the Incisura fossae of atlas. Several Pneumatic foramina were found in the cervical vertebrae. The transverse foramen was found in all the cervical vertebrae except atlas. The ribs were nine pairs in number, the sternal ribs extended from the third to the seventh rib while the rest were asternal floating ribs. The sternum was a broad quadrilateral extensive bone, lacking the keel bone. It had dorsally several Pneumatic foramina.
Eine Familie mit Malaria tropica
Authors: Wörnle Markus 
Published: February 2024

ZusammenfassungIn unserer Notaufnahme stellte sich eine 42-jährige Patientin mit hohem Fieber, Erbrechen und Durchfall vor. Die Vigilanz war deutlich eingeschränkt. Die Vorstellung erfolgte in der 30. Schwangerschaftswoche. Die Patientin war zuvor bei einem Verwandtenbesuch an der Elfenbeinküste. Bei uns konnte eine Malaria tropica Infektion gesichert werden. Bei den übrigen Familienmitgliedern lag ebenfalls eine Malaria tropica vor. Wir geben einen Überblick über die Kriterien für eine komplizierte Malaria tropica und beschreiben das therapeutische Vorgehen, insbesondere mit dem Fokus auf die Behandlung von schwangeren Patientinnen mit einer Malariainfektion.
A mixed reality application for total hip arthroplasty
Authors: Juan M.-Carmen , Hidaldo Cora , Mifsut Damian 
Published: February 2024

AbstractTotal hip arthroplasty (or total hip replacement) is the current surgical solution for the treatment of advanced coxarthrosis, with the objective of providing mobility and pain relief to patients. For this purpose, surgery can be planned using preoperative images acquired from the patient and navigation systems can also be used during the intervention. Robots have also been used to assist in interventions. In this work, we propose a new mixed reality application for total hip arthroplasty. The surgeon only has to wear HoloLens 2. The application does not require acquiring preoperative or intraoperative images of the patient and uses hand interaction. Interaction is natural and intuitive. The application helps the surgeon place a virtual acetabular cup onto the patient's acetabulum as well as define its diameter. Similarly, a guide for drilling and implant placement is defined, establishing the abduction and anteversion angles. The surgeon has a direct view of the operating field at all times. For validation, the values of the abduction and anteversion angles offered by the application in 20 acetabular cup placements have been compared with real values (ground-truth). From the results, the mean (standard deviation) is 0.375 (0.483) degrees for the error in the anteversion angle and 0.1 (0.308) degrees for the abduction angle, with maximum discrepancies of 1 degree. A study was also carried out on a cadaver, in which a surgeon verified that the application is suitable to be transferred to routine clinical practice, helping in the guidance process for the implantation of a total hip prosthesis.
Inner Ear Organoids: Strengths and Limitations
Authors: Pianigiani Giulia , Roccio Marta 
Published: February 2024

AbstractInner ear organoids derived from differentiation of human pluripotent stem cells have recently gained momentum as tools to study inner ear development and developmental defects. An additional exciting aspect about this technology is represented by its translational potential, specifically, the use of organoids to validate therapeutics for hearing and balance restoration on human/patient-specific cells. This latter aspect will be briefly discussed here including opportunities and current limitations.
A novel group decision-making method for interval-valued q-rung dual hesitant fuzzy information using extended power average operator and Frank operations
Authors: Xu Wuhuan , Yao Zhong , Wang Jun , Xu Yuan 
Published: February 2024

AbstractThis paper advances the field of multi-attribute group decision making (MAGDM) by proposing a novel framework based on interval-valued q-rung dual hesitant fuzzy sets (IVq-RDHFSs). IVq-RDHFSs, which surpass most existing fuzzy sets, effectively represent complex fuzzy information by describing membership and non-membership degrees through interval value sets. However, prior MAGDM methods based on IVq-RDHFSs have been limited by the functions of operation rules and aggregation operators (AOs). This limitation is addressed through the construction of a new MAGDM framework, leveraging the robust Frank t-norm and t-conorm (FTT) operation and the extended power average (EPA) operator. The proposed framework features the interval-valued q-rung dual hesitant fuzzy Frank weighted extended power average (IVq-RDHFFWEPA) operator to obtain comprehensive evaluation values. The paper also introduces novel techniques for determining the weights of decision-makers and attributes. Practical applications of the proposed method are demonstrated through the assessment of desalination technology selection and rural green eco-tourism projects. Sensitivity and comparison analyses validate the superior functionality, accuracy, and flexibility of this method compared to many state-of-the-art methods. The contributions of this paper are two-fold: it develops efficient measurement techniques for IVq-RDHFSs, such as distance and weight calculation, and it introduces a comprehensive MAGDM method by integrating FTT and EPA under IVq-RDHFSs, which improves the efficiency of solving decision-making problems.
Variational autoencoders for 3D data processing
Authors: Molnár Szilárd , Tamás Levente 
Published: February 2024

AbstractVariational autoencoders (VAEs) play an important role in high-dimensional data generation based on their ability to fuse the stochastic data representation with the power of recent deep learning techniques. The main advantages of these types of generators lie in their ability to encode the information with the possibility to decode and generalize new samples. This capability was heavily explored for 2D image processing; however, only limited research focuses on VAEs for 3D data processing. In this article, we provide a thorough review of the latest achievements in 3D data processing using VAEs. These 3D data types are mostly point clouds, meshes, and voxel grids, which are the focus of a wide range of applications, especially in robotics. First, we shortly present the basic autoencoder with the extensions towards the VAE with further subcategories relevant to discrete point cloud processing. Then, the 3D data specific VAEs are presented according to how they operate on spatial data. Finally, a few comprehensive table summarizing the methods, codes, and datasets as well as a citation map is presented for a better understanding of the VAEs applied to 3D data. The structure of the analyzed papers follows a taxonomy, which differentiates the algorithms according to their primary data types and application domains.
Some like it hot: small genomes may be more prevalent under climate extremes
Authors: Meyerson Laura A. , Cronin James T. , Lučanová Magdalena , Lambertini Carla , Brix Hans , Packer Jasmin G. , Čuda Jan , Wild Jan , Pergl Jan , Pyšek Petr 
Published: February 2024

AbstractChanging climates can influence species range shifts and biological invasions, but the mechanisms are not fully known. Using the model speciesPhragmites australis(Cav.) Trin. ex Steud. (Poaceae), we conducted a global analysis of climate and plant native and introduced cytotypes to determine whether this relationship influences population distributions, hypothesizing that smaller genomes are more common in regions of greater environmental stress. First, we identified 598Phragmites australisfield-collected native and introduced genome size variants using flow cytometry. We then evaluated whether temperature and precipitation were associated withP. australismonoploid genome size (Cx-value) distributions using Cx-value and Worldclim data. After accounting for potential spatial autocorrelation among source populations, we found climate significantly influenced Cx-value prevalence on continents. The relationships of Cx-value to temperature and precipitation varied according to whether plants were native or introduced in North America and Europe, and Cx-values were strongly influenced by precipitation during the dry season. Smaller plant monoploid genome size was associated with more stressful abiotic conditions; under extreme high temperatures and under drought, plants had smaller Cx-values. This may influence genome dominance, biological invasions, and range expansions and contractions as climate change selects for genome sizes that maximize fitness.
Profiles of Loneliness and Ostracism During Adolescence: Consequences, Antecedents, and Protective Factors
Authors: Kiuru Noona , Salmela-Aro Katariina , Laursen Brett , Vasalampi Kati , Beattie Marguerite , Tunkkari Mari , Junttila Niina 
Published: February 2024

AbstractThis longitudinal study (N = 1078, 46% boys; 54% girls) examined profiles of loneliness and ostracism during adolescence and their consequences and antecedents. Longitudinal latent profiles analyses identified four distinct profiles: (1) High emotional loneliness (25%), High and increasing social loneliness (15%), High peer exclusion and high social impact (9%) and No peer problems (51%). Subsequent internalizing problems were typical for the High and increasing social loneliness profile and externalizing problems for the High emotional loneliness and High peer exclusion and high social impact profiles. Furthermore, effortful control, prosocial skills, and relationship quality with parents and teachers were highest in the No peer problems profile, whereas the High and increasing social loneliness profile had the lowest self-esteem and was characterized by low surgency/extraversion, high affiliativeness, and high negative affectivity.