bluuebunny/crossref_metadata_2025_split huggingface dataset:
Telengiectatic osteosarcoma of mandible with special emphasis on immunohistochemical and molecular characteristics: A case report with review of literature
Authors: Khan Eram , Verma Saloni , Sivakumar N. , Sharma Pooja , Chandra Shaleen , Gupta Shalini 
Published: November 2023

AbstractBackgroundTelangiectatic osteosarcoma (TOS) is an uncommon pathology accounting for about 0.4%–12% of all osteosarcomas with predilection for younger adults. It is most frequently seen in the metaphysis of long bones, appearing as painful osteolytic mass that histopathologically characterized by dilated, blood‐filled vascular spaces lined by malignant osteoblasts along with osteoid formation. It has exchangeable clinical, radiological and pathological features with benign lesions like aneurysmal bone cyst and giant cell tumour of bone as well. Thus, delineating this malignancy from its benign counterparts is a crucial part in the therapeutic management.AimTo report a case of telengiectatic osteosarcoma of jaw in a 17 year old female patient with special highlights on molecular diagnostics and therapeutic modules.Materials and MethodsA panel of immunohistochemical markers comprising of SATB2, CDK4, MDM2, panCK, CD31, desmin, NKX2.2 and TLE1 were employed in combination with fluorescent in‐situ hybridization to detect the prevalence of rearrangement in CDK4 and MDM2 genes.ResultsOn immunohistochemistry, the neoplastic cells were strongly positive for SATB2 and negative for CDK4, MDM2, panCK, CD31, desmin, NKX2.2 and TLE1. Fluorescent in‐situ hybridization of CDK4 and MDM2 genes was also negative.ConclusionConsidering its rarity in jaws combined with clinicopathological overlap with other benign pathologies, diagnosis of this entity is crucial in treatment planning and prognostic significance. Moreover, only five cases of TOS have been reported so far in the craniofacial region. Here, we have reported the sixth case of its kind with detailed clarification pertaining to its immunohistochemical and molecular aspects.
Left atrial appendage closure for stroke prevention in atrial fibrillation patients: A promise that came true
Authors: Jiang Xi , Xiong Qingsong , Yin Yuehui , Ling Zhiyu 
Published: November 2023

AbstractAnticoagulation therapy plays a crucial role in the management of atrial fibrillation (AF), considering the high morbidity and mortality of AF‐related ischemic strokes. With the plausible hypothesis that left atrial appendage is the main source of thrombus in AF patients, left atrial appendage closure (LAAC) has been regarded as a potential substitute to oral anticoagulation in order to meet the unmet needs for stroke prevention, particularly in patients with high bleeding risk. Notable advancements in safety, efficacy, and device innovation have been made in recent years, albeit concerns still remain regarding the insufficient efficacy data, device‐related complications, and the need for procedural optimization. We aim to review current knowledge about LAAC and provide potential future directions for the remaining key issues.
Integrating household survey with inoperability input–output model of critical infrastructure systems: A case study of Hurricane Sandy
Authors: Santos Joost , Meng Sisi , Mozumder Pallab 
Published: November 2023

AbstractCritical infrastructures are ubiquitous and their interdependencies have become more complex leading to their uncertain behaviors in the aftermath of disasters. The article develops an integrated economic input–output model that incorporates household‐level survey data from Hurricane Sandy, which made its landfall in 2012. In this survey, 427 respondents who were living in the state of New Jersey during Hurricane Sandy were used in the study. The integration of their responses allowed us to show the probability and duration of various types of critical infrastructure failures due to a catastrophic hurricane event and estimate the economic losses across different sectors. The percentage of disruption and recovery period for various infrastructure systems were extracted from the survey, which were then utilized in the economic input–output model comprising of 71 economic sectors. Sectors were then ranked according to: (i) inoperability, the percentage in which a sector is disrupted relative to its ideal level, and (ii) economic loss, the monetary worth of business interruption caused by the disaster. With the combined infrastructure disruptions in the state of New Jersey, the model estimated an economic loss of $36 billion, which is consistent with published estimates. Results from this article can provide insights for future disaster preparedness and resilience planning.
An unexpected shift in constant year effects in female elite handball
Authors: Schorer Jörg , Wattie Nick , Faber Irene R. , Büsch Dirk , Baker Joseph 
Published: November 2023

AbstractOne of the most convincing studies about the importance of the cutoff date in relative age effects was when Helsen et al. (2000) showed that a shift in the date directly resulted in a change of birth month distributions in soccer. Over the past four decades, the role of the birth year has also been associated with relative age effects (as reflected in constant year effects). In this investigation, two studies attempted to replicate the shift of birth year distributions caused by a change in birth years in international female handball. In Study 1, the results from the female handball world championship 2017 showed a significant within‐year effect overall and a constant year effect for players born 1988 and after. A second study was conducted with female players from world championships in 2009, 2011, 2013, and 2015. Results demonstrated small effect sizes for most tests. However, there was an unexpected trend toward a constant year effect shift at the age of 28 years. Several hypotheses are presented as an explanation for this trend.
Scale‐oriented temporal analysis of movement data: A series‐based approach
Authors: Zhang Pengdong , Van de Weghe Nico 
Published: November 2023

AbstractThe ubiquity of movement data has led to new research interest in aspects of temporal scale. Few of the approaches analyzing movement data have been developed specifically for scale‐oriented temporal analysis. To overcome this limitation, this article proposes a series‐based approach to perform scale‐oriented temporal analysis of movement data. Key to the proposed approach is the construction of four types of series (one type of identical‐scale series and three types of cross‐scale series) based on the continuous triangular model (CTM). Two distinct research goals are derived from this: to investigate the changes in motion attributes of moving individuals across different temporal scales, and to detect the time intervals during which active events might have occurred. The results based on real football movement data show that finer changes in motion attributes can be found and more accurate time intervals can be detected through the proposed approach.
A philosophical analysis of the emergence of language
Authors: Tabatabaei Ghomi Hamed , Benítez‐Burraco Antonio 
Published: November 2023

AbstractThere is a research programme in linguistics that is founded on describing language as an emergent phenomenon. This paper clarifies how the core concept of emergence is deployed in this emergentist programme. We show that if one adopts the weak understandings of the concept of language emergence, the emergentist programme is not fundamentally different from the other non‐emergentist research programmes in linguistics. On the other hand, if one adopts the stronger understandings of emergence then the programme would have a unique character, but at the cost of some corollaries (philosophical, but not only) which the emergentist linguists would seemingly want to avoid. We show that if the emergentists accept those corollaries, the resulting hypothetical emergentist programme would be totally different from the emergentist programme in its present shape. We conclude that the emergentist programme, as it stands, should be either abandoned or reshaped in both theory and methodology.
Creatine kinase and its isoenzymes in the serum and cerebrospinal fluid of healthy canines
Authors: Kopanke Jennifer H. , Chen Annie V. , Brune Jourdan E. , Brenna Amanda C. , Thomovsky Stephanie A. 
Published: November 2023

AbstractBackgroundCreatine kinase (CK) exists as three isoenzymes (CK‐MM, CK‐MB, and CK‐BB) that are predominantly expressed in specific tissues and can be detected in both the serum and cerebrospinal fluid (CSF). CSF CK has been relatively unstudied in veterinary medicine, although studies in human medicine have demonstrated that changes in total CSF CK activity can indicate neurologic abnormalities.ObjectivesThe purpose of this study was to establish reference intervals for CK and its three major isoenzymes in the serum and CSF of clinically healthy dogs. By establishing a definitive reference interval for this enzyme in healthy canines, the diagnostic use and possible significance of CK in clinical disease can be studied.MethodsSerum and/or CSF were collected from healthy dogs. Total CK activity was measured spectrophotometrically, and isoenzyme distributions were determined using the QuickGel CK Vis Isoenzyme Kit and a densitometric scanner. Total CK and CK isoenzyme activities were determined within 8 h of collection.ResultsThe median serum total CK in healthy canines was 159.0 U/L (range: 53.0–539.0 U/L), while the median CSF total CK was 3.7 U/L (range: 2.0–84.0 U/L). CK‐BB and CK‐MM were approximately equal in the serum, while CK‐MM was the predominant isoenzyme in the CSF.ConclusionsKnowledge of the normal distribution and concentration of CK in canine serum and CSF will set the foundation for future studies of canine CK as a potentially clinically useful biomarker.
Comparison of insulin infusion protocols for management of canine and feline diabetic ketoacidosis
Authors: Gant Poppy , Barfield Dominic , Florey Jessica 
Published: November 2023

AbstractObjectiveDescribe the use of fixed‐rate intravenous insulin infusions (FRIs) in cats and dogs with diabetic ketoacidosis (DKA) and determine if this is associated with faster resolution of ketosis compared to variable‐rate intravenous insulin infusions (VRIs). Secondary objectives were to evaluate complication rates, length of hospitalization (LOH), and survival to discharge (STD).DesignRandomized clinical trial (January 2019 to July 2020).SettingUniversity veterinary teaching hospital and private referral hospital.AnimalsDogs and cats with DKA and venous pH <7.3, blood glucose concentration >11 mmol/L (198 mg/dL), and β‐hydroxybutyrate (BHB) concentration >3 mmol/L were eligible for inclusion. Patients were randomly assigned to receive either FRI or VRI.InterventionsNeutral (regular) insulin was administered IV as an FRI or VRI. For FRI, the rate was maintained at 0.01 IU/kg/h. For VRI, the dose was adjusted according to blood glucose concentration.Measurements and ResultsSixteen cats and 20 dogs were enrolled. Population characteristics, mean insulin infusion rate, time to resolution of ketosis (BHB <0.6 mmol/L), complications, LOH, and STD were evaluated. In cats, overall resolution of ketosis was low (9/16 [56.3%]), limiting comparison of protocols. In dogs, resolution of ketosis was high (19/20 dogs [95.0%]) but the time to resolution in the FRI group was not different than that in the VRI group (P = 0.89), despite a 25% higher average insulin infusion rate in the FRI group (P = 0.04). The incidence of complications was low and did not differ between protocols. In cats, LOH and STD did not differ between protocols. All cats that died (5/16) did so within 78 hours and none had resolution of ketosis. Dogs receiving FRI had a shorter LOH (P = 0.01) but STD did not differ between protocols. Six dogs (30.0%) did not survive to hospital discharge but all had resolution of ketosis.ConclusionsFRIs can be used in veterinary species but may not hasten resolution of ketosis.
The algorithm used for the calculation of gas exchange affects the estimation of O2 uptake kinetics at the onset of moderate‐intensity exercise
Authors: Francescato Maria Pia , Cettolo Valentina 
Published: November 2023

AbstractAt the start of a moderate‐intensity square‐wave exercise, after a short delay, breath‐by‐breath O2 uptake at the mouth is approximated to a mono‐exponential function, whose time constant is considered matched to that of the O2 uptake of the working muscles. We compared the kinetic parameters obtained from the breath‐by‐breath gas exchange data yielded by the ‘Independent‐breath’ algorithm (IND), which accounts for the changes in lung gas stores, with those obtained with the classical ‘Expiration‐only’ algorithm (EXP). The two algorithms were applied on the same flow and gas fraction traces acquired on 10 healthy volunteers, performing 10 times the same moderate‐intensity exercise transition. Repeated O2 uptake responses were stacked together and the kinetic parameters of a mono‐exponential function were estimated by non‐linear regression, removing the data pertaining to 1‐s progressively longer initial periods (ΔTr). Independently of ΔTr, the mean response time (time constant + time delay) obtained for the IND data was faster compared to the EXP data (∼43 s vs. ∼47 s, P < 0.001), essentially because of shorter time delays. Between ΔTr = 16 s and ΔTr = 29s, the time constants of the IND data decreased (30.7 s vs. 28.0 s, P < 0.05; drop = 10%), but less than those of the EXP data (32.2 s vs. 26.2 s, P < 0.001; drop = 23%); with the same ΔTr, the time constants of the two algorithms’ data were not different (P > 0.07). The different decrease in the time constant, together with the different mean response time, suggests that the data yielded by the two algorithms provide a different picture of the phenomena occurring at the beginning of the exercise.
Design and Development of Solar Array Deployment and Stabilization System for NASA MINDS Student Competition
Authors: Preller Evan , Dillard Joshua , Botchway Brandon , Iwuchukwu Kelechi , Gebre Fisseha L. , Xu Jiajun 
Published: November 2023

Abstract
In NASA’s new ARTEMIS mission, the agency aims to land the first woman and first person of color on the moon, using innovative technologies to explore more of the lunar surface. Currently the agency is working with several American companies to deliver science and technology to the lunar surface through the Commercial Lunar Payload Services (CLPS) initiative. To meet the mission’s energy requirements solar arrays must be deployed above the shadowed regions of the lunar south pole. It is important to increase students’ awareness of engineering design and its importance in engineering applications. In current study, a design is proposed via integrating NASA MINDS competition in undergraduate capstone project course and a team at University of the District of Columbia successfully competed in this design competition by developing an integrated system that will facilitate deployment and retraction of a self-fabricated extending mast which will expand vertically from a leveling platform. This extension/retraction cycle will require the design of a durable, lightweight deployment mechanism and accompanying mast constructed from high strength materials capable of being stowed for transport. The student team performed extensive analysis and design of the folding and expansion mechanism and a prototype was produced to validate the proposed approaches. This paper summarizes their study and finding from this experience.
Zero Parasitic Shift Pivoting Kinematic Structures Based on Coupled n-RRR Planar Parallel Mechanisms for Flexure Pivot Design
Authors: Tissot-Daguette Loïc , Thalmann Etienne , Cosandier Florent , Henein Simon 
Published: November 2023

Abstract
Flexure pivots, which are widely used for precision mechanisms, generally have the drawback of presenting parasitic shifts accompanying their rotation. The known solutions for canceling these undesirable parasitic translations usually induce a loss in radial stiffness, a reduction of the angular stoke, and a nonlinear moment-angle characteristics. This article introduces a novel family of kinematic structures based on coupled n-RRR planar parallel mechanisms which presents exact zero parasitic shifts, while alleviating the drawbacks of some known pivoting structures. Based on this invention, three symmetrical architectures have been designed and implemented as flexure-based pivots. The performance of the newly introduced pivots has been compared via Finite Element models with that of two known planar flexure pivots having theoretically zero parasitic shift. The results show that the newly introduced flexure pivots are an order of magnitude radially stiffer than the considered pivots from the state of the art, while having zero parasitic shift properties and equivalent angular strokes. These advantages are key to applications such as mechanical time bases, surgical robotics, or optomechanical mechanisms. Polymer mockups and a titanium alloy prototype have been manufactured for future experimental validation.
Control Co-Design With Approximate Explicit Model Predictive Controllers
Authors: Tsai Ying-Kuan , Malak Richard J. 
Published: November 2023

Abstract
This paper presents a novel methodology for control co-design (CCD) with approximate explicit model predictive controllers. This paper also investigates how approximation errors impact the decision-making for design of dynamic systems. The explicit nonlinear control policies are approximated and represented as surrogate models by a function of states and plant parameters, which allows for offline solving control problems and reducing the computational time required for CCD optimization. Set invariance theory and Lyapunov stability theory are employed to ensure the stability of designed systems. To facilitate design exploration, a multi-objective optimization problem is formulated to trade-off between performance and probability of state-constraint satisfaction. A probability assessment for system stability with the sampled initial states and multiple pre-computed controllers is included in the optimization constraints. The approach is benchmarked using a numerical example and an engineering case study of a satellite attitude control system. Some of the non-dominated designs are selected to visualize their state and control trajectories for comparison. The visualization shows the successful implementation of explicit model predictive controllers in CCD problems while ensuring stability. The results of this study highlight the importance of including plant design and performing CCD to achieve system-optimal solutions and better understand dynamic characteristics.
Hierarchical Gaussian Process Surrogate Modeling Framework for Heterogeneous Multi-Fidelity Dataset
Authors: Lee Juyoung , Lee Mingyu , Lee Bong Jae , Lee Ikjin 
Published: November 2023

Abstract
Multi-fidelity (MF) surrogate modeling has been used to a variety of situations in the last few decades. The MF surrogate model integrates data from different levels of fidelity to enhance the efficiency of surrogate modeling. However, the majority of MF surrogate modeling research has been conducted in regression settings, which tries to approximate continuous responses, and few studies have focused on classification problems with discrete target responses. Furthermore, none of them have considered the MF dataset, which contains different types of responses together. In this paper, a hierarchical Gaussian process (HGP) surrogate modeling framework is proposed for various types of MF datasets. To manage diverse MF datasets in the same framework, the core strategy postulates low-fidelity (LF) models as a trend of high-fidelity (HF) models. The proposed framework adopts Bayesian inference and adapts Laplace approximation to MF classification-based surrogate models. Additionally, a local scaling factor is proposed to improve the accuracy of MF classification-based surrogate models when the correlation between HF and LF models is low. The proposed framework is then applied to synthetic and engineering examples, and its efficiency is compared to that of single-fidelity surrogate models. In the engineering example, the proposed MF surrogate model is used to predict the state of electrolyte, and it has a decreased error than the SF surrogate model by more than 50%.
Inverse Design of 2D Shape-Morphing Structures
Authors: Abu-Mualla Mohammad , Jirón Victor , Huang Jida 
Published: November 2023

Abstract
This study proposes an inverse method for synthesizing shape-morphing structures in the lateral direction by integrating two-dimensional hexagonal unit-cell with curved beams. Analytical expressions are derived to formulate the effective Young’s modulus and Poisson’s ratio for the base unit cell as a function of its geometric parameters. The effective lateral Poisson’s ratio can be controlled by manipulating a set of geometric parameters, resulting in a dataset of over 6000 data points with Poisson’s ratio values ranging from −1.2 to 10.4. Furthermore, we utilize the established dataset to train an inverse design framework that utilizes a physics-guided neural network algorithm, and the framework can predict design parameters for a targeted shape-morphing structure. The proposed approach enables the generation of structures with tailored Poisson’s ratio ranging from −1.2 to 3.4 while ensuring flexibility and reduced stress concentration within the predicted structure. The generated shape-morphing structures’ performance is validated through numerical simulation and physical tensile testing. The FEA simulation results confirm agreement with the designed values for the shape-morphing structure, and the tensile testing results reveal the same trend in shape-morphing behavior. The proposed design automation framework demonstrates the feasibility of creating intricate and practical shape-morphing structures with high accuracy and computational efficiency.
Adaptive Optimization of Subjective Design Attributes: Characterizing Individual and Aggregate Perceptions
Authors: Nandy Ananya , Goucher-Lambert Kosa 
Published: November 2023

Abstract
Subjective attributes play a significant part in the assessment of user-facing products. Unlike performance requirements, these quantities are best evaluated through human feedback. While people share commonalities in their evaluations, allowing personalization when quantifying these subjective attributes may improve the alignment between computational and human representations of design information. We investigate this topic through a study in which participants (N = 56) make a series of pairwise decisions between parameterized mugs, and indicate their perceptions of how comfortable each is to hold. Interactive Bayesian optimization is used to adaptively arrive at a design that optimizes this subjective quantity. Participants guide the model through only their own decisions or make decisions using a model that has already been trained with simulated data (N = 25) or data from the real decisions of other participants (N = 31). The resulting designs are evaluated across the different cases, showing the impact of capturing individual and aggregate perceptions of subjective quantities. The findings imply that balancing aggregate and individual-level decisions within models simultaneously results in the best alignment with human perceptions of subjective attributes. Further implications for design include the potential for personalized control over subjective attributes for designers, users, or users-as-designers.