bluuebunny/crossref_metadata_2025_split huggingface dataset:
Probing the interactions of axion-like particles with electroweak bosons and the Higgs boson in the high energy regime at LHC
Authors: Biswas Tisa 
Published: May 2024

Abstract
We study the interactions of axion-like particles (ALPs) with the Standard Model particles, aiming to probe their phenomenology via non-resonant searches at the LHC. These interactions are mediated by higher dimensional effective operators within two possible frameworks of linearly and non-linearly realised electroweak symmetry breaking. We consider the ALPs to be light enough to be produced on-shell and exploit their derivative couplings with the SM Higgs boson and the gauge bosons. We will use the high momentum transfer processes, namely hZ, Zγ, WW and WWγ production from pp collisions. We derive upper limits on the gauge-invariant interactions of ALPs with the electroweak bosons and/or Higgs boson that contribute to these processes, from the re-interpretation of the latest Run 2 available LHC data. The constraints we obtain are strong for ALP masses below 100 GeV. These allowed effective interactions in the ALP parameter space yield better significance at HL-LHC and thus, offer promising avenues for subsequent studies. Furthermore, we augment our cut-based analysis with gradient-boosted decision trees, which improve the statistical significance distinctly across these interaction channels. We briefly compare the results with the complementary probe of these couplings via direct production of ALPs in association with the Higgs boson or a vector boson.
Probing dark photons from a light scalar at Belle II
Authors: Cheung Kingman , Kim Yongkyu , Kwon Youngjoon , Ouseph C. J. , Soffer Abner , Wang Zeren Simon 
Published: May 2024

Abstract
In the minimal U(1) extension of the Standard Model (SM), a new gauge boson referred to as “dark photon” is predicted. The dark-photon mass can be generated from an additional Higgs mechanism associated with a dark scalar boson. At B-factories such as Belle II, large numbers of B-mesons are produced and can decay to a kaon plus the dark scalar via the latter’s mixing with the SM Higgs boson. We evaluate the sensitivity of Belle II for the case in which the dark scalar decays exclusively into a pair of dark photons via the new U(1) gauge coupling, and the dark photons are long lived owing to a small kinetic mixing ϵ. We study the experimental signature in which each dark photon decays into a pair of charged leptons, pions, or kaons, resulting in a pair of displaced vertices, and argue that the search is essentially background-free. We perform detailed Monte-Carlo simulations to determine the expected number of signal events at Belle II with an integrated luminosity of 50 ab−1, taking into account the efficiencies for both final-state-particle identification and displaced tracking. We find that for experimentally allowed values of the scalar mixing angle and kinematically allowed dark-photon and dark-scalar masses, the proposed search is uniquely sensitive to the medium-ϵ regime, which is currently mostly unexcluded by experiments.
Singlet-doublet fermion Dark Matter with Dirac neutrino mass, (g − 2)μ and ∆Neff
Authors: Borah Debasish , Mahapatra Satyabrata , Nanda Dibyendu , Sahoo Sujit Kumar , Sahu Narendra 
Published: May 2024

Abstract
We study the possibility of generating light Dirac neutrino mass via scotogenic mechanism where singlet-doublet fermion Dark Matter (DM) plays non-trivial role in generating one-loop neutrino mass, anomalous magnetic moment of muon: (g − 2)μ as well as additional relativistic degrees of freedom ∆Neff within reach of cosmic microwave background (CMB) experiments. We show that the Dirac nature of neutrinos can bring interesting correlations within the parameter space satisfying the (g − 2)μ, DM relic density and the effective relativistic degrees of freedom ∆Neff. While we stick to thermal singlet-doublet DM with promising detection prospects, both thermal and non-thermal origin of ∆Neff have been explored. In addition to detection prospects of the model at DM, (g − 2)μ and other particle physics experiments, it remains verifiable at future CMB experiments like CMB-S4 and SPT-3G.
Sirt1 inhibits macrophage polarization and inflammation in gouty arthritis by inhibiting the MAPK/NF-κB/AP-1 pathway and activating the Nrf2/HO-1 pathway
Authors: Zhao Xu , Li Menglan , Lu Yiwei , Wang Mi , Xiao Jiawei , Xie Qingqing , He Xinyi , Shuai Shiquan 
Published: May 2024

Abstract
Objective and design
To elucidate Sirt1’s role in gouty arthritis inflammation and its potential mechanisms.

Material
Constructed murine models of gouty arthritis and conducted THP-1 cell experiments.

Treatment
1 mg of MSU crystals injected into mice ankle joints for a 72-h intervention. After a 3-h pre-treatment with Sirt1-specific inhibitor (EX527) and agonist (SRT2104), inflammation was induced for 21 h using lipopolysaccharide (LPS) plus MSU crystals.

Methods
We assessed gouty arthritis severity through joint inflammation index, swelling, and hematoxylin and eosin (H&E) staining, and measured CD68 mononuclear macrophages and Sirt1 expression in synovial tissue via immunohistochemistry. ELISA, NO assay, RT-qPCR, Flow cytometry, and Western blot were utilized to examine macrophage inflammatory factors, polarization, reactive oxygen species(ROS), MAPK/NF-κB/AP-1 and Nrf2/HO-1 pathways proteins.

Results
Significant joint swelling, synovial tissue edema, and inflammatory cell infiltration were observed. CD68 mononuclear macrophages and Sirt1 expression were elevated in synovium. Sirt1 activation decreased inflammatory factors, M1 polarization, and ROS generation. Sirt1 activation reduced p38/JNK phosphorylation, thereby inhibiting downstream NF-κB p65/AP-1 and enhancing Nrf2/HO-1, thus suppressing inflammation.

Conclusions
Sirt1 alleviates M1 macrophage polarization and inflammation in gouty arthritis by inhibiting the MAPK/NF-κB/AP-1 pathway and activating the Nrf2/HO-1 pathway. Thus, activating Sirt1 may provide a new therapeutic target for gouty arthritis.
Das Verbundprojekt „Personalisierte Medizin für die Onkologie“ (PM4Onco) als Teil der Medizininformatik-Initiative (MII)
Authors: Metzger Patrick , Boerries Melanie 
Published: May 2024

ZusammenfassungDas Verbundprojekt Personalisierte Medizin für die Onkologie (PM4Onco) wurde 2023 im Rahmen der Nationalen Dekade gegen Krebs (NDK) ins Leben gerufen und wird als Anwendungsfall der Medizininformatik-Initiative (MII) geführt. Es verfolgt das Ziel, eine nachhaltige Infrastruktur zur Integration und Nutzung von Daten aus der klinischen und biomedizinischen Forschung zu etablieren, und bündelt dabei die Erfahrungen und Vorarbeiten aller 4 Konsortien der MII sowie der onkologischen Spitzenzentren in Deutschland. Die von PM4Onco bereitgestellten Daten werden in geeigneter Form aufbereitet, um die Entscheidungsfindung in molekularen Tumorboards zu unterstützen. Dieses Konzept und die entsprechende Infrastruktur werden auf die 23 beteiligten Standorte ausgeweitet und damit wird ein verbesserter Zugang zu zielgerichteten Therapien ermöglicht, die auf klinischen Informationen und der Analyse molekulargenetischer Veränderungen in Tumoren in verschiedenen Krankheitsstadien basieren. Dies trägt dazu bei, die Behandlung und Prognose von Tumorerkrankungen zu verbessern.Klinische Krebsregister sind Teil des Projekts, um die Datenqualität durch standardisierte Dokumentationsroutinen zu erhöhen. Klinische Expert:innen beraten bei der Erweiterung der Kerndatensätze für die Personalisierte Medizin (PM). Einen entscheidenden Beitrag liefern Informationen zur Lebensqualität und zum Behandlungserfolg, die Patient:innen über Fragebögen rückmelden und die bisher außerhalb klinischer Studien kaum erfasst werden. Patientenvertreter:innen begleiten das Projekt, um die wichtige Perspektive der Betroffenen in den Entscheidungen zu berücksichtigen. PM4Onco schafft somit eine Allianz zwischen MII, onkologischen Spitzenzentren, klinischen Krebsregistern, Nachwuchswissenschaftler:innen, Patient:innen und Bürger:innen, um die PM in der Krebstherapie zu stärken und voranzubringen.
The role of automated insulin delivery technology in diabetes
Authors: Boughton Charlotte K. , Hovorka Roman 
Published: May 2024

AbstractThe role of automated insulin delivery systems in diabetes is expanding. Hybrid closed-loop systems are being used in routine clinical practice for treating people with type 1 diabetes. Encouragingly, real-world data reflects the performance and usability observed in clinical trials. We review the commercially available hybrid closed-loop systems, their distinctive features and the associated real-world data. We also consider emerging indications for closed-loop systems, including the treatment of type 2 diabetes where variability of day-to-day insulin requirements is high, and other challenging applications for this technology. We discuss issues around access and implementation of closed-loop technology, and consider the limitations of present closed-loop systems, as well as innovative approaches that are being evaluated to improve their performance.
Graphical Abstract
Preparation of an ethics application
Authors: Mathis Dominic ,   AGA Research Committee
Published: May 2024

AbstractThe purpose of writing an ethics application as part of a scientific study is to ensure that the study adheres to ethical standards and guidelines. This work must be done with care and accuracy, and can be a tedious and time-consuming task that may involve multiple amendments and revisions. This is where guidance such as the SMART (specific, measurable, achievable, realistic, and time-bound) criteria can be used. This article is intended to support you in approaching the submission process with preparation of the application in a structured and standardized manner.
Pathology of submeasures and $$F_{\sigma }$$ ideals
Authors: Martínez Jorge , Meza-Alcántara David , Uzcátegui Carlos 
Published: May 2024

AbstractWe address some phenomena about the interaction between lower semicontinuous submeasures on $${\mathbb {N}}$$
N
and $$F_{\sigma }$$

F
σ

ideals. We analyze the pathology degree of a submeasure and present a method to construct pathological $$F_{\sigma }$$

F
σ

ideals. We give a partial answers to the question of whether every nonpathological tall $$F_{\sigma }$$

F
σ

ideal is Katětov above the random ideal or at least has a Borel selector. Finally, we show a representation of nonpathological $$F_{\sigma }$$

F
σ

ideals using sequences in Banach spaces.
Prospective Clinical Trial for Predicting Mastectomy Skin Flap Necrosis with Indocyanine Green Angiography in Implant-Based Prepectoral Breast Reconstruction
Authors: Kim Jaewoo , Han Man Wong , Hong Ki Yong 
Published: May 2024

Abstract

Background
Indocyanine green angiography (ICG-A) is a useful tool for evaluating mastectomy skin flap (MSF) perfusion during breast reconstruction. However, a standardized protocol for interpreting and applying MSF perfusion after mastectomy has not been established yet. The purpose of this study is to establish criteria for assessing MSF perfusion in immediate implant-based prepectoral breast reconstruction while correlating ICG-A findings with postoperative outcomes

Methods
This prospective observational study was conducted at a single institution and involved patients with breast cancer who underwent mastectomy and immediate implant-based prepectoral breast reconstruction between August 2021 and August 2023. The terms “hypoperfused flap” and “hypoperfused area” were defined according to ICG-A perfusion. MSF exhibited < 30% perfusion, excluding the nipple and the corresponding region, respectively. Data on the hypoperfused flap, hypoperfused area, and MSF necrosis were collected.

Results
Fifty-three breast cases were analyzed. Eight patients developed MSF necrosis (15.1%, 8/53). Of these, two patients underwent surgical debridement and revision within 3 months (3.8%, 2/53). There were nine cases of a hypoperfused flap, eight of which developed MSF necrosis. The hypoperfused flap was a significant predictor of the occurrence of MSF necrosis (p < 0.001). There was a tendency for increased full-thickness necrosis with a wider hypoperfused area.

Conclusions
The hypoperfused flap enabled the prediction of MSF necrosis with high sensitivity, specificity, positive predictive value, and negative predictive value. Considering the presumed correlation between the extent of the hypoperfused area and the need for revision surgery, caution should be exercised when making intraoperative decisions regarding the reconstruction method.

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.
The home health care routing with heterogeneous electric vehicles and synchronization
Authors: Cebeci Eşref , Yücel Eda , Koç Çağrı 
Published: May 2024

AbstractThis paper studies the problem of heterogeneous electric vehicles, fast chargers, and synchronized jobs that have time windows in home healthcare routing and scheduling. We consider a problem that aims to establish daily routes and schedules for healthcare nurses to provide a variety of services to patients located in a scattered area. Each nurse should be assigned to an electric vehicle (EV) from a heterogeneous fleet of EVs to perform the assigned jobs within working hours. We consider three different types of EVs in terms of battery capacity and energy consumption. We aim to minimize the total cost of energy consumption, fixed nurse cost, and costs arising from the patients that cannot be served within the working day. We model the problem as a mixed integer programming formulation. We develop a hybrid metaheuristic based on a greedy random adaptive search procedure heuristic, to generate good quality initial solutions quickly, and an adaptive variable neighborhood search algorithm to generate high quality solutions in reasonable time. The hybrid metaheuristic employs a set of new advanced efficient procedures designed to handle the complex structure of the problem. Through extensive computational experiments, the performance of the mathematical model and the hybrid metaheuristic are evaluated. We conduct analyses on the robustness of the metaheuristic and the performance contribution of employing adaptive probabilities. We analyze the impact of problem parameters such as competency requirements, job duration, and synchronized jobs.
IgA vasculitis after COVID-19: a case-based review
Authors: Suszek Dorota , Grzywa-Celińska Anna , Emeryk-Maksymiuk Justyna , Krusiński Adam , Redestowicz Katarzyna , Siwiec Jan 
Published: May 2024

AbstractIgA-associated vasculitis (IgAV) known as Henoch - Schönlein purpura (HSP) disease is an inflammatory disorder of small blood vessels. It’s the most common type of systemic vasculitis in children which can be associated with the inflammatory process following infections. IgA vasculitis is a rare and poorly understood systemic vasculitis in adults. Coronavirus disease 2019 (COVID-19) has been associated with HSP in both adults and children. A 58-year-old woman was diagnosed with HSP, fulfilling the clinical criteria: palpable purpura, arthritis, hematuria. The disclosure of the HSP disease was preceded by a infection of the respiratory tract. COVID-19 infection was confirmed via the presence of IgM and IgG antibodies. This case indicates the possible role of SARS-CoV-2 in the development of HSP. The clinical course of IgAV in adults appears to be different from pediatric IgAV, especially due to higher risk of renal complications. Symptoms of the disease quickly resolved with low-dose of steroids.
Comparing mouse and human cingulate cortex organization using functional connectivity
Authors: van Hout Aran T. B. , van Heukelum Sabrina , Rushworth Matthew F. S. , Grandjean Joanes , Mars Rogier B. 
Published: May 2024

AbstractThe subdivisions of the extended cingulate cortex of the human brain are implicated in a number of high-level behaviors and affected by a range of neuropsychiatric disorders. Its anatomy, function, and response to therapeutics are often studied using non-human animals, including the mouse. However, the similarity of human and mouse frontal cortex, including cingulate areas, is still not fully understood. Some accounts emphasize resemblances between mouse cingulate cortex and human cingulate cortex while others emphasize similarities with human granular prefrontal cortex. We use comparative neuroimaging to study the connectivity of the cingulate cortex in the mouse and human, allowing comparisons between mouse ‘gold standard’ tracer and imaging data, and, in addition, comparison between the mouse and the human using comparable imaging data. We find overall similarities in organization of the cingulate between species, including anterior and midcingulate areas and a retrosplenial area. However, human cingulate contains subareas with a more fine-grained organization than is apparent in the mouse and it has connections to prefrontal areas not present in the mouse. Results such as these help formally address between-species brain organization and aim to improve the translation from preclinical to human results.
Interventions about physical activity and diet and their impact on adolescent and young adult cancer survivors: a Prisma systematic review
Authors: Vasilopoulou M. , Asimakopoulou Z. , Velissari J. , Vicha A. , Rizogianni M. , Pusa S. , Stöven S. , Ficarra S. , Bianco Α. , Jiménez-Pavón D. , Ponce Gonzalez Jesus G. , Tavares Paula C. , Gomes B. , Bayer D. , Silva S. , Nogueira C. , Papakonstantinou S. , Musa K. , Glorioso F. , Vantarakis A. 
Published: May 2024

Abstract
Purpose
Over the past few decades, the incidence of cancer among adolescents and young adults (AYA) has been increasing. The impact of behaviors, such as physical activity (PA) and nutrition, on disease progression, prognosis, and overall health and quality of life for AYA cancer survivors is of significant importance. This systematic review aims to evaluate the effectiveness of PA and diet interventions for AYA cancer survivors and to critically evaluate existing literature, gaps, and limitations.

Methods
A search of literature was conducted in PubMed, Science Direct, Scopus, and Google Scholar following the PRISMA guidelines. Twenty-two studies were included from online databases from 2012 to 2022, 13 of which were randomized controlled trials.

Results
Most interventions were related to PA, with only four studies including nutrition or Diet interventions. The interventions were generally feasible and acceptable to AYA cancer survivors, and digitally based PA interventions were commonly used. PA interventions mainly comprised aerobic and resistance training and were individualized. Overall, this review found various PA and diet interventions for AYA cancer survivors that were feasible and well-accepted, but gaps in knowledge and design still exist.

Conclusions
This systematic review underscores the importance of conducting more research on diet interventions for YCS.

Prospero registration
https://www.crd.york.ac.uk/prospero/#aboutregpage
A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical engineering
Authors: Yaghoubi Elaheh , Yaghoubi Elnaz , Khamees Ahmed , Vakili Amir Hossein 
Published: May 2024

AbstractArtificial neural networks (ANN), machine learning (ML), deep learning (DL), and ensemble learning (EL) are four outstanding approaches that enable algorithms to extract information from data and make predictions or decisions autonomously without the need for direct instructions. ANN, ML, DL, and EL models have found extensive application in predicting geotechnical and geoenvironmental parameters. This research aims to provide a comprehensive assessment of the applications of ANN, ML, DL, and EL in addressing forecasting within the field related to geotechnical engineering, including soil mechanics, foundation engineering, rock mechanics, environmental geotechnics, and transportation geotechnics. Previous studies have not collectively examined all four algorithms—ANN, ML, DL, and EL—and have not explored their advantages and disadvantages in the field of geotechnical engineering. This research aims to categorize and address this gap in the existing literature systematically. An extensive dataset of relevant research studies was gathered from the Web of Science and subjected to an analysis based on their approach, primary focus and objectives, year of publication, geographical distribution, and results. Additionally, this study included a co-occurrence keyword analysis that covered ANN, ML, DL, and EL techniques, systematic reviews, geotechnical engineering, and review articles that the data, sourced from the Scopus database through the Elsevier Journal, were then visualized using VOS Viewer for further examination. The results demonstrated that ANN is widely utilized despite the proven potential of ML, DL, and EL methods in geotechnical engineering due to the need for real-world laboratory data that civil and geotechnical engineers often encounter. However, when it comes to predicting behavior in geotechnical scenarios, EL techniques outperform all three other methods. Additionally, the techniques discussed here assist geotechnical engineering in understanding the benefits and disadvantages of ANN, ML, DL, and EL within the geo techniques area. This understanding enables geotechnical practitioners to select the most suitable techniques for creating a certainty and resilient ecosystem.