bluuebunny/crossref_metadata_2025_split huggingface dataset:
Jet substructure probe to unfold singlet-doublet dark matter in the presence of non-standard cosmology
Authors: Das Prasanta Kumar , Konar Partha , Kundu Saumyen , Show Sudipta 
Published: June 2023

Abstract
We examine the singlet-doublet fermionic dark matter model, where the non-thermal production of the dark matter in light of a non-standard cosmology demands a significantly large interaction rate than the typical radiation-dominated Universe. Despite being a model of freeze-in light dark matter and heavy mediator, the characteristic long-lived particle searches at the collider experiment and the displaced vertex signature do not help in probing such a dark sector since this non-standard interaction mandates nearly prompt decay. We make a counterproposal to probe such signal with di-fat-jets generated from the boosted decays of massive vector bosons and Standard Model Higgs, along with the substantial missing transverse momentum to probe the dark matter at LHC. Interestingly, substructure variables associated with these fat jets have an additional handle to tackle the extensive QCD background as it encodes implicit footmarks of their origin. We adopt the multivariate analysis with the booted decision tree to constrain the measured relic density allowed parameter space of dark matter in the presence of the modified cosmological scenario. Our study shows how the non-trivial expansion affects dark matter production in the early Universe and alters the required search strategies at colliders. This probe provides the best discovery prospect at the HL-LHC for extended parameter space now opened up in the dark sector.
Double Higgs production at NNLO interfaced to parton showers in GENEVA
Authors: Alioli Simone , Billis Georgios , Broggio Alessandro , Gavardi Alessandro , Kallweit Stefan , Lim Matthew A. , Marinelli Giulia , Nagar Riccardo , Napoletano Davide 
Published: June 2023

Abstract
In this work, we study the production of Higgs boson pairs at next-to-next-to-leading order in QCD matched to parton showers, using the Geneva framework and working in the heavy-top-limit approximation. This includes the resummation of large logarithms of the zero-jettiness $$ \mathcal{T} $$
T
0 up to the next-to-next-to-next-to-leading-log accuracy. This process features an extremely large momentum transfer, which makes its study particularly relevant for matching schemes such as that employed in Geneva, where the resummation of a variable different from that used in the ordering of the parton shower is used. To further study this effect, we extend the original shower interface designed for Pythia8 to include other parton showers, such as Dire and Sherpa.
Current status and future prospects of activated recombinant coagulation factor VIIa, NovoSeven®, in the treatment of haemophilia and rare bleeding disorders
Authors: Shima Midori 
Published: June 2023

Abstract
rFVIIa, a human recombinant activated coagulation factor VII, has been used worldwide for more than two decades for the treatment of bleeding episodes and prevention of bleeding in patients undergoing surgery/invasive procedures with congenital haemophilia A or B with inhibitors (CHwI A or B), acquired haemophilia (AH), congenital factor VII deficiency and Glanzmann thrombasthenia (GT), refractory to platelet transfusion. The approved dosage, administration and indication of rFVIIa in the US, Europe and Japan differ, depending on the needs of the patient population and regulatory practices. This review presents an overview of the current status and future prospects, including that from a Japanese perspective, of using rFVIIa in the treatment of approved indications. The efficacy and safety of rFVIIa in the approved indications has been demonstrated in several randomised and observational studies and data from registries. The overall incidence of thrombosis across all approved indications in a retrospective safety assessment of clinical trials and registries, prelicensure studies and postmarketing surveillance studies of rFVIIa use was 0.17%. Specifically, the risk of thrombotic events was 0.11% for CHwI, 1.77% for AH, 0.82% for congenital factor VII deficiency and 0.19% for GT. Emerging non-factor therapies such as emicizumab have changed the treatment landscape of haemophilia A, including preventing bleeding in patients with CHwI. However, rFVIIa will continue to play a significant role in the treatment of such patients, particularly during breakthrough bleeding or surgical procedures.
Single-injection nerve blocks for total knee arthroplasty: femoral nerve block versus femoral triangle block versus adductor canal block—a randomized controlled double-blinded trial
Authors: de Arzuaga Carlos I. Salvadores , Miguel Marcos , Biarnés Alfons , García Marcelo , Naya José , Khoudeir Andrea , Minguell Joan , Pujol Oriol 
Published: June 2023

Abstract
Introduction
Femoral nerve block (FNB) is a well-established analgesic technique for TKA. However, it associates quadriceps weakness. Therefore, femoral triangle block (FTB) and adductor canal block (ACB) were proposed as effective alternative motor-spearing techniques. The primary objective was to compare quadriceps muscle strength preservation between FNB, FTB and ACB in TKA. The secondary objective was to analyze pain control and functional outcomes.

Methods
This is a prospective, double-blinded RCT. From April 2018 to April 2019, patients who undergo a primary TKA were randomized into three experimental groups: FNB-G1/FTB-G2/ACB-G3. Quadriceps strength preservation was measured as the difference in maximum voluntary isometric contraction (MVIC) preoperatively and postoperatively.

Results
Seventy-eight patients (G1, n = 22; G2, n = 26; G3, n = 30) met our inclusion/exclusion criteria. Patients with FNB retained significantly lower baseline MVIC at 6 h postoperatively (p = 0.001), but there were no differences at 24 and 48 h. There were no differences between the groups in functional outcomes at any time point. Patients in the FNB-G1 presented significant lower pain scores at 6 h (p = 0.01), 24 h (p = 0.005) and 48 h (p = 0.01). The highest cumulative opioid requirement was reported in ACB-G3.

Conclusion
For patients undergoing TKA, FTB and ACB preserve quadriceps strength better than FNB at 6 h postoperatively, but there are no differences at 24 and 48 h. Moreover, this early inferiority does not translate to worse functional outcomes at any time point. FNB is associated with better pain control at 6, 24 and 48 h after surgery, while ACB presents the highest cumulative opioid requirement.

Clinical trial registration
This study was registered in clinicaltrials.gov (NCT03518450; https://clinicaltrials.gov/ct2/show/NCT03518450; submitted March 17, 2018).
Fatty acid isotopic composition in Atlantic pollock is not influenced by environmentally relevant dietary fat concentrations
Authors: Budge Suzanne M. , Townsend Kathryn , Ziegler Susan E. , Lall Santosh P. 
Published: June 2023

AbstractThe application of fatty acid (FA) isotopic analysis has great potential in elucidating food web structure, but it has not experienced the same wide-spread use as amino acid isotopic analyses. The failure to adopt FA isotopic methods is almost certainly linked to a lack of reliable information on trophic fractionation of FA, particularly in higher predators. In this work, we attempt to address this shortfall, through comparison of FA δ13C values in captive Atlantic pollock (Pollachius virens) liver and their known diets. Since catabolism is likely the main cause of fractionation and it may vary with dietary fat content, we investigated the impact of dietary fat concentration on isotopic discrimination in FA. We fed Atlantic pollock three formulated diets with similar FA isotopic compositions but different fat concentrations (5–9% of diet), representative of the range found in natural prey, for 20 weeks. At the conclusion of the study, δ13C values of liver FA were very similar to the FA within the corresponding diets, with most discrimination factors < 1. For all FA except 22:6n-3, dietary fat had no effect on discrimination factors. Only for 22:6n-3 did fish fed the highest fat diet have lower δ13C values than the diet consumed. Thus, these FA-specific discrimination factors can be applied to evaluate diets in marine fish consuming natural diets and will serve as additional and valuable biomarkers in fish feeding ecology.
Assessment tools for patient-reported outcomes in multiple myeloma
Authors: Wang Ting , Lu Qin , Tang LeiWen 
Published: June 2023

Abstract
Background
Patients with multiple myeloma experience severe symptom burden. Patient participation in self-reporting is essential as medical staff’s assessment of patient symptom severity is often lower than patient self-reporting. This article reviews patient-reported outcome (PRO) assessment tools and their application in the field of multiple myeloma.

Results
The European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (EORTC QLQ-C30) is the universal patient-reported outcome assessment tool most frequently used to evaluate the life quality in people with multiple myeloma. Among the specific patient-reported outcome assessment tools, the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Multiple Myeloma Module (EORTC QLQ-MY20), the Functional Assessment of Cancer Therapy-Multiple Myeloma (FACT-MM), and the M.D. Anderson Symptom Inventory-Multiple Myeloma Module (MDASI-MM) are the most widely used, with some scholars using the EORTC QLQ-MY20 as a calibration correlate for scale development.
Most current assessment instruments were developed using classical measurement theory methods; future researchers could combine classic theory tests and item response theory to create scientific assessment instruments.
In addition, researchers select the appropriate assessment tool based on the purpose of the study. They can translate high-quality assessment tools into different languages and consider applying them more often to assessing multiple myeloma patients. Finally, most existing PROs focus on measuring life quality and symptoms in people with multiple myeloma, with less research on outcomes such as adherence and satisfaction, thus failing to comprehensively evaluate the patient treatment and disease management.

Conclusions
Research has shown that the field of PROs in multiple myeloma is in an exploratory phase. There is still a need to enrich the content of PROs and develop more high-quality PRO scales for multiple myeloma based on the strengths and weaknesses of existing tools. With the successful advancement of information technology, PROs for people with multiple myeloma could be integrated with electronic information systems, allowing patients to report their health status in real time and doctors to track their condition and adjust their treatment, thereby improving patient outcomes.
On the applicability of hybrid systems safety verification tools from the automotive perspective
Authors: Schupp Stefan , Ábrahám Erika , Waez Md Tawhid Bin , Rambow Thomas , Qiu Zeng 
Published: June 2023

AbstractTraditionally, extensive vehicle testing is applied to assure the robustness and safety of automotive systems. This approach is highly challenged by increasing system complexity. Formal verification lends a powerful framework for model-based safety assurance, but due to the mixed discrete–continuous behavior of automotive systems, traditional tools for discrete program verification are helpful but not sufficient.In academia, during the last two decades new approaches arose for the formal verification of such mixed discrete-continuous systems. However, the industry is not fully aware of this development, the tools are seldom tried and their applicability is not well examined. In a Ford–RWTH research alliance project, we aimed at evaluating the potential of knowledge and technology transfer in this area.This paper has two main objectives. Firstly, we want to report on the state-of-the-art in the above-mentioned academic development in a generally understandable form, targeted to interested potential users. Secondly, we want to share our observations after testing different available tools for their applicability and usability in the automotive sector and as a conclusion devise some recommendations.
Numerical simulation of a managed aquifer recharge system designed to supply drinking water to the city of Amsterdam, The Netherlands
Authors: Pokhrel Pranisha , Zhou Yangxiao , Smits Frank , Kamps Pierre , Olsthoorn Theo 
Published: June 2023

AbstractManaged aquifer recharge (MAR) is increasingly used to secure drinking water supply worldwide. The city of Amsterdam (The Netherlands) depends largely on the MAR in coastal dunes for water supply. A new MAR scheme is proposed for the production of 10 × 106 m3/year, as required in the next decade. The designed MAR system consists of 10 infiltration ponds in an artificially created sandbank, and 25 recovery wells placed beneath the ponds in a productive aquifer. Several criteria were met for the design, such as a minimum residence time of 60 days and maximum drawdown of 5 cm. Steady-state and transient flow models were calibrated. The flow model computed the infiltration capacity of the ponds and drawdowns caused by the MAR. A hypothetical tracer transport model was used to compute the travel times from the ponds to the wells and recovery efficiency of the wells. The results demonstrated that 98% of the infiltrated water was captured by the recovery wells which accounted for 65.3% of the total abstraction. Other sources include recharge from precipitation (6.7%), leakages from surface water (13.1%), and natural groundwater reserve (14.9%). Sensitivity analysis indicated that the pond conductance and hydraulic conductivity of the sand aquifer in between the ponds and wells are important for the infiltration capacity. The temperature simulation showed that the recovered water in the wells has a stable temperature of 9.8–12.5 °C which is beneficial for post-treatment processes. The numerical modelling approach is useful and helps to gain insights for implementation of the MAR.
Inter-group alliance dynamics in Indo-Pacific bottlenose dolphins (Tursiops aduncus)
Authors: Friedman Whitney R. , Krützen Michael , King Stephanie L. , Allen Simon J. , Gerber Livia , Wittwer Samuel , Connor Richard C. 
Published: June 2023

AbstractThe social intelligence hypothesis holds that complex social relationships are the major selective force underlying the evolution of large brain size and intelligence. Complex social relationships are exemplified by coalitions and alliances that are mediated by affiliative behavior, resulting in differentiated but shifting relationships. Male Indo-Pacific bottlenose dolphins in Shark Bay, Australia, form three alliance levels or ‘orders’, primarily among non-relatives. Strategic alliance formation has been documented within both first- and second-order alliances and between second-order alliances (‘third-order alliances’), revealing that the formation of strategic inter-group alliances is not limited to humans. Here we conducted a fine-scale study on 22 adult males over a 6-year period to determine if third-order alliance relationships are differentiated, and mediated by affiliative interactions. We found third-order alliance relationships were strongly differentiated, with key individuals playing a disproportionate role in maintaining alliances. Nonetheless, affiliative interactions occurred broadly between third-order allies, indicating males maintain bonds with third-order allies of varying strength. We also documented a shift in relationships and formation of a new third-order alliance. These findings further our understanding of dolphin alliance dynamics and provide evidence that strategic alliance formation is found in all three alliance levels, a phenomenon with no peer among non-human animals.
Validation of the test for finding word retrieval deficits (WoFi) in detecting Alzheimer's disease in a naturalistic clinical setting
Authors: Georgiou Eleni-Zacharoula , Skondra Maria , Charalampopoulou Marina , Felemegkas Panagiotis , Pachi Asimina , Stafylidou Georgia , Papazachariou Dimitrios , Perneczky Robert , Thomopoulos Vasileios , Politis Antonios , Leroi Iracema , Economou Polychronis , Alexopoulos Panagiotis 
Published: June 2023

Abstract
Background
Detecting impaired naming capacity contributes to the detection of mild (MildND) and major (MajorND) neurocognitive disorder due to Alzheimer’s disease (AD). The Test for Finding Word retrieval deficits (WoFi) is a new, 50-item, auditory stimuli-based instrument.

Objective
The study aimed to adapt WoFi to the Greek language, to develop a short version of WoFi (WoFi-brief), to compare the item frequency and the utility of both instruments with the naming subtest of the widely used Addenbrooke’s cognitive examination III (ACEIIINaming) in detecting MildND and MajorND due to AD.

Methods
This cross-sectional, validation study included 99 individuals without neurocognitive disorder, as well as 114 and 49 patients with MildND and MajorND due to AD, respectively. The analyses included categorical principal components analysis using Cramer’s V, assessment of the frequency of test items based on corpora of television subtitles, comparison analyses, Kernel Fisher discriminant analysis models, proportional odds logistic regression (POLR) models and stratified repeated random subsampling used to recursive partitioning to training and validation set (70/30 ratio).

Results
WoFi and WoFi-brief, which consists of 16 items, have comparable item frequency and utility and outperform ACEIIINaming. According to the results of the discriminant analysis, the misclassification error was 30.9%, 33.6% and 42.4% for WoFi, WoFi-brief and ACEIIINaming, respectively. In the validation regression model including WoFi the mean misclassification error was 33%, while in those including WoFi-brief and ACEIIINaming it was 31% and 34%, respectively.

Conclusions
WoFi and WoFi-brief are more effective in detecting MildND and MajorND due to AD than ACEIIINaming.
Knowledge as a (Non-factive) Mental State
Authors: Bricker Adam Michael 
Published: June 2023

Abstract
The thesis that knowledge is a factive mental state plays a central role in knowledge-first epistemology, but accepting this thesis requires also accepting an unusually severe version of externalism about the mind. On this strong attitude externalism, whether S is in the mental state of knowledge can and often will rapidly change in virtue of changes in external states of reality with which S has no causal contact. It is commonly thought that this externalism requirement originates in the factivity of knowledge. However, despite a number of recent defenses of non-factive accounts of knowledge, epistemology has yet to consider whether a non-factive approach might produce a version of the mental state thesis that can avoid strong externalism. Here I do just that, exploring how three different proposals for weakening factivity might be adapted to theories of knowledge as a non-factive mental state. Contrary to what we might expect, however, none of these proposals are compatible with anything close to attitude internalism about knowledge—or even a substantially weaker externalism. All told, the widespread view that wraps up the severe externalism required for knowledge to be a mental state in factivity is mistaken. Knowledge’s external-world connection runs far deeper than the factivity constraint.
A generic approach to extract object-centric event data from databases supporting SAP ERP
Authors: Berti Alessandro , Park Gyunam , Rafiei Majid , van der Aalst Wil M. P. 
Published: June 2023

AbstractProcess mining provides a collection of techniques to gain insights into business processes by analyzing event logs. Organizations can gain various insights into their business processes by using process mining techniques. Such techniques use event logs extracted from relational databases supporting the business process as input. However, extracting event logs is challenging due to the size of the data, and it remains ad-hoc. Existing commercial tools partly support the extraction of event logs, but they are proprietary and focus on the mainstream processes such as Purchase-To-Pay (P2P) and Order-To-Cash (O2C). Moreover, the extracted event logs suffer from well-known deficiency, convergence, and divergence issues. For example, due to convergence events are unintentionally duplicated causing unreliable or confusing performance diagnostics. In this paper, we propose an approach to extract event logs while avoiding the aforementioned issues. More in detail, we extract object-centric event logs by using an abstraction layer of the database, called Graph of Relationships (GoRs), designing blueprints with domain knowledge, and converting the database and blueprint into object-centric event logs.We fully implemented the proposed approach, which can extract object-centric event logs from SAP ERP systems, and evaluate the utility and scalability of the proposed approach.
Ontological insecurity in the post-covid-19 fallout: using existentialism as a method to develop a psychosocial understanding to a mental health crisis
Authors: Oakes Matthew Bretton 
Published: June 2023

AbstractIn the wake of the Covid-19 pandemic we are witnessing a significant rise in mental illness diagnosis and corresponding anti-depressant prescription uptake. The drug response to this situation is unsurprising and reinforces the dominant role (neuro)biology continues to undertake within modern psychiatry. In contrast to this biologically informed, medicalised approach, the World Health Organisation (WHO) issued a statement stressing the causal role of psychological and social factors.Using the concept of ontological insecurity, contextualised within the WHO guidance, the interrelation of psychological and social factors is illuminated, and a psychosocial framework is produced as a means of understanding the mental health consequence of the post-Covid-19 fallout.The psychosocial framework generated provides a rationale to revise and reprioritise how we engage with the biopsychosocial model that is intended to underpin modern psychiatry. This framework establishes a connection between psychological and social theory which are too often addressed as disparate terrains within mental health services and policy creation.
Approximation by polynomials in Sobolev spaces associated with classical moment functionals
Authors: García-Ardila Juan C. , Marriaga Misael E. 
Published: June 2023

AbstractLet $$\textbf{u}$$
u
be a moment functional associated with the Hermite, Laguerre, or Jacobi classical orthogonal polynomials. We study approximation by polynomials in $$H^r(\textbf{u})$$

H
r

(
u
)

, the Sobolev space consisting of functions whose derivatives of consecutive orders up to r belong to the $$L^2$$

L
2

space associated with $$\textbf{u}$$
u
. This requires the simultaneous approximation of a function f and its consecutive derivatives up to order $$N\leqslant r$$

N
⩽
r

. We explicitly construct orthogonal polynomials that achieve such simultaneous approximation and provide error estimates in terms of $$E_n(f^{(r)})$$

E
n

(

f

(
r
)

)

, the error of best approximation of $$f^{(r)}$$

f

(
r
)

in $$L^{2}(\textbf{u})$$

L
2

(
u
)

.