bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bioequivalence of a biosimilar enoxaparin (Cloti‐Xa™) and its innovator (Clexane®): A single‐dose, randomized, double‐blind, two‐period, two‐treatment, two‐sequence, crossover, balanced study in healthy human subjects
Authors: Saxena Sumit , Chaudhary Manu , Chaudhary Saransh , Aggarwal Anmol 
Published: June 2022

AbstractCurrently, several biosimilars of low‐molecular‐weight heparins (LMWHs) with differing potencies are being developed and marketed globally. Thus, it is important that the potency of each biosimilar LMWH be compared with its innovator's molecule. The present study aimed to determine the bioequivalence of biosimilar (Cloti‐Xa™) and innovator (Clexane®) formulations of enoxaparin sodium (40 mg/0.4 ml) in healthy human volunteers. It was conducted as a single‐dose, randomized, double‐blind, two‐period, two‐treatment, two‐sequence, crossover, balanced, pharmacodynamic study (NCT05265676). The participants were sequentially and randomly administered subcutaneous injections of Cloti‐Xa™ (test) and Clexane® (reference), separated by a one‐week washout period. To assess the Anti‐Xa & Anti‐IIa activities, tissue factor pathway inhibitor (TFPI) release and activated partial thromboplastin time (aPTT), blood samples were obtained at various timepoints upto 24 h after the drug administration. Bioequivalence was concluded if the two‐sided 90% CI for the test to reference ratio of the population is within 80%–125% for each of the Ln‐transformed values of Amax and AUECt for Anti‐Xa and Anti‐IIa. TFPI and aPTT data were submitted as supportive evidence. The study sample consisted of twenty‐four male participants. The 90% CIs of Amax and AUECt for Anti‐Xa activity were 105.50%–113.90% and 103.97%–112.08%, and for Anti‐IIa activity were 106.56%–117.90% and 107.35%–124.86%, respectively. In addition, the 90% CI of the ratio of Anti‐Xa/Anti‐IIa activity falls within the acceptance criteria. TFPI and aPTT profiles were similar for both products. No serious adverse events were observed during the study. Conclusively, the results showed that Cloti‐Xa™ and Clexane® are bioequivalent and well‐tolerated.
Robust adaptive neural control for a class of perturbed nonlinear systems with unmodeled dynamics and output disturbances
Authors: Chen Chao‐Yang , Tang Yang , Lu Ming , Yan Huaicheng , Huang Tingwen 
Published: June 2022

AbstractFor a nonlinear system with unmodeled dynamics and output disturbances, an adaptive neural network based control strategy is designed. For the unknown output interference, this article introduces a new module between the system output and the tracking signal for the first time. By constructing a new state, system becomes a new system without unknown output interference. In order to alleviate the major influence caused by the system dynamic disturbance and unknown time delay, appropriate Lyapunov–Krasovskii functions, and backstepping technology are employed. In designing some adaptive methods, the unmodeled dynamics, disturbances, and unknown time‐varying virtual coefficients are processed. Unknown function is approximated by neural network. All signals are semi‐global uniform ultimate boundedness. Simulation effectively verifies the control strategy.
Oscillation and dispersion of live grass carp egg settlement in static water: Laboratory experiments and theoretical models
Authors: Wan Yunjiao , Zeng Yuhong , Li Mingzheng , Yang Fan 
Published: June 2022

AbstractFull understanding of the settling process of drifting fish eggs in static water is crucial for improving predictions of fish egg drift in rivers, which can inform reservoir operations by incorporating the ecological requirements of fish. However, current understanding of the settling process remains limited. Observations and analysis of live grass carp egg settlement in static water, with a video capture technology and wavelet analysis, have improved understanding. Results reveal that microscale oscillation and dispersion occur during the settling process. The oscillating velocities of eggs had periods of 0.113 s in longitudinal and 0.135 s in vertical, with oscillating angles around 1.13°. The maximum position differences among eggs after stably settling for 14 s were 25.0 mm in vertical and 4.2 mm in longitudinal. Mechanical models were then established and employed to elucidate two settling phenomena. Simulated results revealed that microscale oscillation was related to biological attributes (the egg specific gravity and diameters of the egg and embryo), special inner structure of the live egg and random hydraulic disturbance of the surroundings. Dispersion was mainly caused by the difference between eggs (diameter and specific gravity). This work furthers understanding and forecasts of fish egg drift in rivers, from which river engineers and managers can better estimate the locations of fish spawning sites, calculate ecological water requirement, and designate ecological conservation areas.
Enhancing decision knowledge by developing a quantitative framework for holistic exploratory acquisition policy analysis
Authors: Kwon Kybeom , Kim Heungseob , Min Seungin , Kim Cheonyoung , Jee Cheolkyu , Seol Hyeonju 
Published: June 2022

AbstractAn acquisition policy's diverse stakeholders may have heterogeneous needs. Furthermore, stakeholders may be unsure of their preferences due to a highly qualitative analysis of alternatives in the early stages of the acquisition policy development process. Lacking system knowledge and evidence, stakeholders may push back policy priorities or delay decisions. In such cases, it is necessary to increase stakeholders’ knowledge about the acquisition policy options’ impacts. This study proposes a systematic and quantitative framework development process and outlines a holistic exploratory policy analysis. Stakeholders’ needs are systematically identified and measurement areas and elements are derived from those needs. Evaluation methods are then created through a sensible quantification process to measure the impact of introducing each alternative. The framework provides information on the effects of various policy options, an analysis of each alternative's most crucial policy option, and other valuable analysis results. Finally, we present a case study to illustrate the development process and application of the framework when introducing a new military training system such as Live, Virtual, and Constructive synthetic training systems.
Research and Use of Nuclear Energy—Its Ambivalence(s) in Historical Context
Authors: Kant Horst 
Published: June 2022

AbstractThe discovery of a scientific fact is initially not ambivalent; only in its possibilities of use does its ambivalence become apparent. But the socially evaluated positive uses and negative misuses of scientific knowledge cannot be clearly distinguished, and both can also appear ambivalent in turn. In this sense, consequently, scientists already bear responsibility for their discoveries. Moreover, in the case of experimental research, the question must be asked, to what extent its realization already interferes with what is happening and thus acquires an ambivalent character (which, however, must be distinguished from the ambivalence of its use). With those issues in mind, the article discusses the questions raised by the discovery and early use of nuclear energy.
The Sustainable Development Goals as Epistemic Infrastructures
Authors: Bandola-Gill Justyna , Grek Sotiria , Tichenor Marlee 
Published: June 2022

AbstractOver the last three decades, quantification has emerged as the predominant governing logic in global public policy. In this introductory chapter, we explore how this paradigm has evolved from one of governing by numbers to governing numbers in the context of the Sustainable Development Goals (SDGs). This chapter presents an overview of the emergence of sustainability politics and contextualises it in the broader literature on quantification and global public policy. Drawing on these debates, we propose a new theoretical lens, conceptualising the SDGs as epistemic infrastructures connecting data and numbers, networks and new governing paradigms. As such, this chapter approaches quantification not merely as a tool for governing but rather as a broader epistemic system through which sustainable development problems become knowable and actionable.
SDGs and the Politics of Reconciling the Dual Logic of Democracy and Technocracy
Authors: Bandola-Gill Justyna , Grek Sotiria , Tichenor Marlee 
Published: June 2022

AbstractThe SDGs and their ambition of ‘leaving no one behind’ are grounded on the ideals of country-led monitoring (and reforms). As such, the notion of ‘democratisation’ of the production of data and indicators is central to achieving both the legitimacy of the process and the effectiveness of the policy reforms aimed at the specific goals. This chapter explores the ways in which International Organisations mediate this process of securing ‘buy-in’ from countries whilst maintaining the robustness of the monitoring exercise. In particular, this chapter explores the role of IOs in terms of the practices (meetings, advisory activities) and epistemic qualities (flexibility and mobility of produced knowledge, the adaptation of the global standards to the local context) of quantification. Thus, this chapter offers a theorisation of quantification processes of the SDGs through the lens of participatory practices and democratisation of knowledge.
SDGs and the Rise of an Epistemic Infrastructure: Actors’ Networks, Partnerships and Conflicts in the Education SDG
Authors: Bandola-Gill Justyna , Grek Sotiria , Tichenor Marlee 
Published: June 2022

AbstractOne of the key goals of the SDG agenda is increasing the collaboration between global institutions. This chapter explores the emerging interdependence between IOs by exploring the networks of actors working towards operationalising and governing the SDGs. Focusing on the production of the education indicator (SDG4), this chapter explores the roles of organisations and individual actors within them in creating the connections, shaping numbers and outlining the directions of the new education/sustainability agenda.
MLatom 2: An Integrative Platform for Atomistic Machine Learning
Authors: Dral Pavlo O , Ge Fuchun , Xue Bao Xin , Hou Yi-Fan , Pinheiro Max , Huang Jianxing , Barbatti Mario 
Published: June 2022

AbstractAtomistic machine learning (AML) simulations are used in chemistry at an everincreasing pace. A large number of AML models has been developed, but their implementations are scattered among different packages, each with its own conventions for input and output. Thus, here we give an overview of our MLatom 2 software package, which provides an integrative platform for a wide variety of AML simulations by implementing from scratch and interfacing existing software for a range of state-of-the-art models. These include kernel method-based model types such as KREG (native implementation), sGDML, and GAP-SOAP as well as neuralnetwork- based model types such as ANI, DeepPot-SE, and PhysNet. The theoretical foundations behind these methods are overviewed too. The modular structure of MLatom allows for easy extension to more AML model types. MLatom 2 also has many other capabilities useful for AML simulations, such as the support of custom descriptors, farthest-point and structure-based sampling, hyperparameter optimization, model evaluation, and automatic learning curve generation. It can also be used for such multi-step tasks as Δ-learning, self-correction approaches, and absorption spectrum simulation within the machine-learning nuclear-ensemble approach. Several of these MLatom 2 capabilities are showcased in application examples.
Genetic architecture and QTL selection response for Kernza perennial grain domestication traits
Authors: Crain Jared , Larson Steve , Dorn Kevin , DeHaan Lee , Poland Jesse 
Published: June 2022

Abstract
Key message
Analysis of multi-year breeding program data revealed that the genetic architecture of an intermediate wheatgrass population was highly polygenic for both domestication and agronomic traits, supporting the use of genomic selection for new crop domestication.

Abstract
Perennial grains have the potential to provide food for humans and decrease the negative impacts of annual agriculture. Intermediate wheatgrass (IWG, Thinopyrum intermedium, Kernza®) is a promising perennial grain candidate that The Land Institute has been breeding since 2003. We evaluated four consecutive breeding cycles of IWG from 2016 to 2020 with each cycle containing approximately 1100 unique genets. Using genotyping-by-sequencing markers, quantitative trait loci (QTL) were mapped for 34 different traits using genome-wide association analysis. Combining data across cycles and years, we found 93 marker-trait associations for 16 different traits, with each association explaining 0.8–5.2% of the observed phenotypic variance. Across the four cycles, only three QTL showed an FST differentiation > 0.15 with two corresponding to a decrease in floret shattering. Additionally, one marker associated with brittle rachis was 216 bp from an ortholog of the btr2 gene. Power analysis and quantitative genetic theory were used to estimate the effective number of QTL, which ranged from a minimum of 33 up to 558 QTL for individual traits. This study suggests that key agronomic and domestication traits are under polygenic control and that molecular methods like genomic selection are needed to accelerate domestication and improvement of this new crop.
Data-driven models for crashworthiness optimisation: intrusive and non-intrusive model order reduction techniques
Authors: Czech Catharina , Lesjak Mathias , Bach Christopher , Duddeck Fabian 
Published: June 2022

AbstractTo enable multi-query analyses, such as optimisations of large-scale crashworthiness problems, a numerically efficient model is crucial for the development process. Therefore, data-driven Model Order Reduction (MOR) aims at generating low-fidelity models that approximate the solution while strongly reducing the computational cost. MOR methods for crashworthiness became only available in recent years; a detailed and comparative assessment of their potential is still lacking. Hence, this work evaluates the advantages and drawbacks of intrusive and non-intrusive projection based MOR methods in the framework of non-linear structural transient analysis. Both schemes rely on the collection of full-order training simulations and a subsequent subspace construction via Singular Value Decomposition. The intrusive MOR is based on a Galerkin projection and a consecutive hyper-reduction step. In this work, its inter-and extrapolation abilities are compared to the non-intrusive technique, which combines the subspace approach with machine learning methods. Moreover, an optimisation analysis incorporating the MOR methods is proposed and discussed for a crashworthiness example.
Robust RFID tag design for reliable communication within the Internet of Things
Authors: Tribe James , Hayward Steven , van Lopik Katherine , Whittow William G. , West Andrew A. 
Published: June 2022

AbstractRadio frequency identification (RFID) is a cost-effective method to support the Industrial Internet of Things (IIoT) and is an enabling technology for Industry 5.0. The use of RFID is particularly suited to IIoT as it does not require a line of sight for communication and can be retroactively affixed to non-smart items. However, RFID communication is affected by the properties of the material the tag is affixed to, specifically the material permittivity. Metal is commonly present in smart factory environments and supply chains and impedes RFID communication. A suitable tag design is required to accommodate these challenges and ensure resilience for Industry 5.0 applications. The research presented in this paper has assessed the communication performance of RFID antenna designs with and without metal present beneath the tag. The RFID tag designs that performed reliably in the simulation were manufactured, and their read range was tested on materials of varying relative permittivity and thickness to represent MP and NMP scenarios. The results have verified the robustness of “Cyber” to “Physical” designs and provide recommendations to support practitioner IIoT tag selection.
Inhibitory framing in hypersexual patients with Parkinson’s disease. An fMRI pilot study
Authors: Theis Hendrik , Probst Catharina , Campabadal Anna , Goerlich Katharina S. , Granert Oliver , Wolff Stephan , Witt Karsten , Deuschl Günther , van Eimeren Thilo 
Published: June 2022

AbstractHypersexuality in medicated patients with PD is caused by an increased influence of motivational drive areas and a decreased influence of inhibitory control areas due to dopaminergic medication. In this pilot study, we test a newly developed paradigm investigating the influence of dopaminergic medication on brain activation elicited by sexual pictures with and without inhibitory contextual framing. Twenty PD patients with and without hypersexuality were examined with fMRI either OFF or ON standardized dopaminergic medication. The paradigm consisted of a priming phase where either a neutral context or an inhibitory context was presented. This priming phase was either followed by a sexual or a neutral target. Sexual, compared to neutral pictures resulted in a BOLD activation of various brain regions implicated in sexual processing. Hypersexual PD patients showed increased activity compared to PD controls in these regions. There was no relevant effect of medication between the two groups. The inhibitory context elicited less activation in inhibition-related areas in hypersexual PD, but had no influence on the perception of sexual cues. The paradigm partially worked: reactivity of motivational brain areas to sexual cues was increased in hypersexual PD and inhibitory contextual framing lead to decreased activation of inhibitory control areas in PD. We could not find a medication effect and the length of the inhibitory stimulus was not optimal to suppress reactivity to sexual cues. Our data provide new insights into the mechanisms of hypersexuality and warrant a replication with a greater cohort and an optimized stimulus length in the future.
Interobserver agreement between eight observers using IOTA simple rules and O-RADS lexicon descriptors for adnexal masses
Authors: Antil Neha , Raghu Preethi R. , Shen Luyao , Tiyarattanachai Thodsawit , Chang Edwina M. , Ferguson Craig W. K. , Ho Amanzo A. , Lutz Amelie M. , Mariano Aladin J. , Morimoto L. Nayeli , Kamaya Aya 
Published: June 2022

Abstract
Purpose
To evaluate interobserver agreement in assigning imaging features and classifying adnexal masses using the IOTA simple rules versus O-RADS lexicon and identify causes of discrepancy.

Methods
Pelvic ultrasound (US) examinations in 114 women with 118 adnexal masses were evaluated by eight radiologists blinded to the final diagnosis (4 attendings and 4 fellows) using IOTA simple rules and O-RADS lexicon. Each feature category was analyzed for interobserver agreement using intraclass correlation coefficient (ICC) for ordinal variables and free marginal kappa for nominal variables. The two-tailed significance level (a) was set at 0.05.

Results
For IOTA simple rules, interobserver agreement was almost perfect for three malignant lesion categories (M2-4) and substantial for the remaining two (M1, M5) with k-values of 0.80–0.82 and 0.68–0.69, respectively. Interobserver agreement was almost perfect for two benign feature categories (B2, B3), substantial for two (B4, B5) and moderate for one (B1) with k-values of 0.81–0.90, 0.69–0.70 and 0.60, respectively. For O-RADS, interobserver agreement was almost perfect for two out of ten feature categories (ascites and peritoneal nodules) with k-values of 0.89 and 0.97. Interobserver agreement ranged from fair to substantial for the remaining eight feature categories with k-values of 0.39–0.61. Fellows and attendings had ICC values of 0.725 and 0.517, respectively.

Conclusion
O-RADS had variable interobserver agreement with overall good agreement. IOTA simple rules had more uniform interobserver agreement with overall excellent agreement. Greater reader experience did not improve interobserver agreement with O-RADS.

Graphical abstract
The Use of the FACE-Q Aesthetic: A Narrative Review
Authors: Ottenhof Maarten J. , Veldhuizen Inge J. , Hensbergen Lusanne J. v. , Blankensteijn Louise L. , Bramer Wichor , Lei Berend vd , Hoogbergen Maarten M. , Hulst René R. W. J. , Sidey-Gibbons Chris J. 
Published: June 2022

Abstract
Introduction
In the past decade there has been an increasing interest in the field of patient-reported outcome measures (PROMs) which are now commonly used alongside traditional outcome measures, such as morbidity and mortality. Since the FACE-Q Aesthetic development in 2010, it has been widely used in clinical practice and research, measuring the quality of life and patient satisfaction. It quantifies the impact and change across different aspects of cosmetic facial surgery and minimally invasive treatments.
We review how researchers have utilized the FACE-Q Aesthetic module to date, and aim to understand better whether and how it has enhanced our understanding and practice of aesthetic facial procedures.

Methods
We performed a systematic search of the literature. Publications that used the FACE-Q Aesthetic module to evaluate patient outcomes were included. Publications about the development of PROMs or modifications of the FACE-Q Aesthetic, translation or validation studies of the FACE-Q Aesthetic scales, papers not published in English, reviews, comments/discussions, or letters to the editor were excluded.

Results
Our search produced 1189 different articles; 70 remained after applying in- and exclusion criteria. Significant findings and associations were further explored. The need for evidence-based patient-reported outcome caused a growing uptake of the FACE-Q Aesthetic in cosmetic surgery and dermatology an increasing amount of evidence concerning facelift surgery, botulinum toxin, rhinoplasty, soft tissue fillers, scar treatments, and experimental areas.

Discussion
The FACE-Q Aesthetic has been used to contribute substantial evidence about the outcome from the patient perspective in cosmetic facial surgery and minimally invasive treatments. The FACE-Q Aesthetic holds great potential to improve quality of care and may fundamentally change the way we measure success in plastic surgery and dermatology.

Level of Evidence III
This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.
Live shopping promotions: which categories should a retailer discount to shoppers already in the store?
Authors: Wamsler Julia , Vuckovac Denis , Natter Martin , Ilic Alexander 
Published: June 2022

AbstractDigitalization allows retailers to target customers with personalized promotions when they enter the store. Although traditional promotional retailer objectives, such as store visit, become obsolete once the shopper is already in the store, retailers still tend to target customers based on indicators that drive store visit, such as recency, frequency, and monetary value (RFM). In order to improve promotional efficiency, the authors propose targeting shoppers based on information derived from regularity patterns in individual interpurchase times at the point of sale. When compared to RFM-based targeting, the proposed live targeting approach translates into higher redemption rates (+ 10.5 percentage points), revenues (+ 42.3 percentage points), and purchase frequencies (+ 44.2 percentage points). The findings emphasize the importance of promotional timing and of considering customers’ outside potential for dynamic in-store targeting.