bluuebunny/crossref_metadata_2025_split huggingface dataset:
AI Support for Accelerating Histopathological Slide Examinations of Prostate Cancer in Clinical Studies
Authors: Del Rio Mauro , Lianas Luca , Aspegren Oskar , Busonera Giovanni , Versaci Francesco , Zelic Renata , Vincent Per H. , Leo Simone , Pettersson Andreas , Akre Olof , Pireddu Luca 
Published: August 2022

AbstractWhile studies in pathology are essential for the progress in the diagnostic and prognostic techniques in the field, pathologist time is becoming an increasingly scarce resource, and can indeed become the limiting factor in the feasibility of studies to be performed. In this work, we demonstrate how the Digital Pathology platform by CRS4, for supporting research studies in digital pathology, has been augmented by the addition of AI-based features to accelerate image examination to reduce the pathologist time required for clinical studies. The platform has been extended to provide computationally generated annotations and visual cues to help the pathologist prioritize high-interest image areas. The system includes an image annotation pipeline with DeepHealth-based deep learning models for tissue identification and prostate cancer identification. Annotations are viewed through the platform’s virtual microscope and can be controlled interactively (e.g., thresholding, coloring). Moreover, the platform captures inference provenance information and archives it as RO-Crate artifacts containing data and metadata required for reproducibility. We evaluate the models and the inference pipeline, achieving AUC of 0.986 and 0.969 for tissue and cancer identification, respectively, and verifying linear dependence of execution speed on image tissue content. Finally, we describe the ongoing clinical validation of the contribution, including preliminary results, and discuss feedback from clinical professionals regarding the overall approach.
Detection of Pulmonary Conditions Using the DeepHealth Framework
Authors: Carrión Salvador , López-Chilet Álvaro , Martínez-Bernia Javier , Coll-Alonso Joan , Chorro-Juan Daniel , Gómez Jon Ander 
Published: August 2022

AbstractMedical diagnosis assisted by intelligent systems is an effective strategy to increase the efficiency of healthcare systems while reducing their costs. This work is focused on detecting pulmonary conditions from X-ray images using the DeepHealth framework. Our results suggest that it is possible to discriminate pulmonary conditions compatible with the COVID-19 disease from other conditions and healthy individuals. Hence, it could be stated that the DeepHealth framework is a suitable deep-learning software with which to perform reliable medical research. However, more medical data and research are still necessary to train deep learning models that could be trusted by medical personnel.
Einleitung
Authors: Kirchner Aljoscha 
Published: August 2022

ZusammenfassungEs sind die großen Technologietrends der heutigen Zeit, welche die Automobilbranche nach wie vor zu einem der großen Treiber der Innovationsentwicklung werden lässt. Dabei ist es neben der Digitalisierung und der Elektrifizierung des Automobils insbesondere die Entwicklung des autonomen Fahrens, welche die Komplexität der Anforderungen stetig steigen lässt. Aus den steigenden Anforderungen in der Automobilbranche resultieren steigende Anforderungen bei den Zulieferern. Ziel dieser Arbeit ist die Effizienzsteigerung in der Entwicklung von Automotive System-on-Chips durch die direkte oder indirekte Senkung der entstehenden Aufwände. Hierzu soll eine Methode entwickelt werden, mit dem Ziel, die bestehenden Defizite des aktuellen Entwicklungs-Flows in der Automotive-SoC-Entwicklung zu minimieren. Ein besonderer Fokus der Arbeit liegt dabei auf dem Erstellen und Pflegen der Spezifikationsdokumente.
Stand der Technik
Authors: Kirchner Aljoscha 
Published: August 2022

ZusammenfassungDie in dieser Arbeit entwickelte modellbasierte Entwicklungsmethode soll über alle Phasen der Entwicklung hinweg durch einen modellbasierten Ansatz Defizite im aktuellen Flow beseitigen und die Effizienz der SoC-Entwicklung in Gesamtheit steigern. Nach aktuellem Stand gibt es nach Wissen des Autors keine existierende Lösung für die modellbasierte Systementwicklung von Automotive SoCs, welche dabei den gesamten Entwicklungs-Flow von der Analyse der Kundenanforderungen bis zum Systementwurf berücksichtigt und dabei eine Automatisierung des Entwurfs sowie der Verifikationserstellung ermöglicht. Daher erfolgt in diesem Kapitel eine Betrachtung von Lösungsansätzen aus der Literatur, welche Teilbereiche des SoC-Entwicklungs-Flows abdecken bzw. einen Teil der gestellten Anforderungen erfüllen.
SMEFT predictions for gg → hh at full NLO QCD and truncation uncertainties
Authors: Heinrich Gudrun , Lang Jannis , Scyboz Ludovic 
Published: August 2022

Abstract
We present a calculation of the NLO QCD corrections for Higgs-boson pair production in gluon fusion including effects of anomalous couplings within Standard Model Effective Field Theory (SMEFT). We study effects of different truncation options of the EFT expansion in 1/Λ and of double operator insertions, both at total cross-section level as well as for the distribution of the invariant mass of the Higgs-boson pair, at $$ \sqrt{s} $$

s

= 13 TeV. The NLO corrections are implemented in the generator ggHH_SMEFT in the Powheg-Box-V2 framework.
The geometry of gauged (super)conformal mechanics
Authors: Mirfendereski Delaram , Raeymaekers Joris , Şanlı Canberk , Van den Bleeken Dieter 
Published: August 2022

Abstract
Motivated by recently explored examples, we undertake a systematic study of conformal invariance in one-dimensional sigma models where an isometry group has been gauged. Perhaps surprisingly, we uncover classes of sigma models which are only scale invariant in their ungauged form and become fully conformally invariant only after gauging. In these cases the target space of the gauged sigma model satisfies a deformation of the well-known conformal geometry constraints. We consider bosonic models as well as their $$ \mathcal{N} $$
N
= 1, 2, 4 supersymmetric extensions. We solve the quantum ordering ambiguities in implementing (super-) conformal symmetry on the physical Hilbert space. Examples of our general results are furnished by the D(2, 1; 0)-invariant Coulomb branch quiver models relevant for black hole physics.
Minimal models of field theories: SDYM and SDGR
Authors: Skvortsov Evgeny , Van Dongen Richard 
Published: August 2022

Abstract
There exists a natural L∞-algebra or Q-manifold that can be associated to any (gauge) field theory. Perturbatively, it can be obtained by reducing the L∞-algebra behind the jet space BV-BRST formulation to its minimal model. We explicitly construct the minimal models of self-dual Yang-Mills and self-dual gravity theories, which also represents their equations of motion as Free Differential Algebras. The minimal model regains all relevant information about the field theory, e.g. actions, charges, anomalies, can be understood in terms of the corresponding Q-cohomology.
One-loop matching for gluon lattice TMDs
Authors: Schindler Stella T. , Stewart Iain W. , Zhao Yong 
Published: August 2022

Abstract
Transverse-momentum-dependent parton distributions (TMDs) can be calculated from first principles by computing a related set of Euclidean lattice observables and connecting them via a factorization formula. This work focuses on the leading-power factorization formula connecting the lattice quasi-TMD and continuum Collins TMD for gluons. We calculate the one-loop gluon matching coefficient, which is known to be independent of spin and exhibits no mixing with quarks. We demonstrate that this coefficient satisfies Casimir scaling with respect to the quark matching coefficient at one-loop order. Our result facilitates reliable lattice QCD calculations of gluon TMDs.
Sterile neutrino portals to Majorana dark matter: effective operators and UV completions
Authors: Coito Leonardo , Faubel Carlos , Herrero-García Juan , Santamaria Arcadi , Titov Arsenii 
Published: August 2022

Abstract
Stringent constraints on the interactions of dark matter with the Standard Model suggest that dark matter does not take part in gauge interactions. In this regard, the possibility of communicating between the visible and dark sectors via gauge singlets seems rather natural. We consider a framework where the dark matter talks to the Standard Model through its coupling to sterile neutrinos, which generate active neutrino masses. We focus on the case of Majorana dark matter, with its relic abundance set by thermal freeze-out through annihilations into sterile neutrinos. We use an effective field theory approach to study the possible sterile neutrino portals to dark matter. We find that both lepton-number-conserving and lepton-number-violating operators are possible, yielding an interesting connection with the Dirac/Majorana character of active neutrinos. In a second step, we open the different operators and outline the possible renormalisable models. We analyse the phenomenology of the most promising ones, including a particular case in which the Majorana mass of the sterile neutrinos is generated radiatively.
Z′-mediated Majorana dark matter: suppressed direct-detection rate and complementarity of LHC searches
Authors: Alanne T. , Bishara F. , Fiaschi J. , Fischer O. , Gorbahn M. , Moldanazarova U. 
Published: August 2022

Abstract
We study the direct-detection rate for axial-vectorial dark matter scattering off nuclei in an SU(2) × U(1) invariant effective theory and compare it against the LHC reach. Current constraints from direct detection experiments are already bounding the mediator mass to be well into the TeV range for WIMP-like scenarios. This motivates a consistent and systematic exploration of the parameter space to map out possible regions where the rates could be suppressed. We do indeed find such regions and proceed to construct consistent UV models that generate the relevant effective theory. We then discuss the corresponding constraints from both collider and direct-detection experiments on the same parameter space. We find a benchmark scenario, where even for future XENONnT experiment, LHC constraints will have a greater sensitivity to the mediator mass.
Single photon production at hadron colliders at NNLO QCD with realistic photon isolation
Authors: Chen X. , Gehrmann T. , Glover E.W.N. , Höfer M. , Huss A. , Schürmann R. 
Published: August 2022

Abstract
Isolated photons at hadron colliders are defined by permitting only a limited amount of hadronic energy inside a fixed-size cone around the candidate photon direction. This isolation criterion admits contributions from collinear photon radiation off QCD partons and from parton-to-photon fragmentation processes. We compute the NNLO QCD corrections to isolated photon and photon-plus-jet production, including these two contributions. Our newly derived results allow us to reproduce the isolation prescription used in the experimental measurements, performing detailed comparisons with data from the LHC experiments. We quantify the impact of different photon isolation prescriptions, including no isolation at all, on photon-plus-jet cross sections and discuss possible measurements of the photon fragmentation functions at hadron colliders.
To digitalize or not? Navigating and merging human- and technology perspectives in production planning and control
Authors: Eriksson Kristina M. , Carlsson Linnéa , Olsson Anna Karin 
Published: August 2022

AbstractContemporary manufacturing companies are navigating industrial digitalization anticipating increased production efficiency and competitiveness in a volatile environment. This study focuses on the implementation processes of digital tools for production planning and control (PPC), i.e., advanced planning and scheduling (APS) software, in relation to the application of analog planning with physical flow boards. Digital tools can support understanding the consequences of production changes and variations, hence facilitating adaptable and resilient manufacturing. However, technological changes can be daunting, and effective implementations require dynamic capabilities to remain competitive in elusive environments. The aim is to study the implementation processes of an APS software to understand the requirements of fruitfully moving from analog planning to next-generation digital tools for decision support in PPC. The paper presents an explorative case study, at a manufacturing company within the energy sector. The interview study took place over 9 months during 2020–2021, investigating current and retrospective aspects of the case across 2019–2021. The case study comprises 17 in-depth interviews with a range of company employees, e.g., logistics managers and functions responsible for digitalization development. The results highlight the challenges of implementing and especially trusting digital tools for PPC. To realize the value of digital tools for PPC, it is argued that it is imperative to simultaneously apply a human-centric perspective in decision making to ensure trustworthy, sustainable, and resilient human-data-technology nexus implementations towards smart manufacturing.
EU-SILC and the potential for synthetic panel estimates
Authors: Colgan Brian 
Published: August 2022

AbstractIn the absence of panel data, researchers have devised alternative methods for estimating synthetic poverty dynamics using repeated cross section surveys. These methods are not only salient in the absence of panel data, but also in contexts where there are concerns over the quality of panel data and/or the panel data are of insufficient length to analyse medium- to long-term mobility trends. Both of these issues afflict the longitudinal element of the European Survey on Income and Living Conditions (EU-SILC) (Hérault and Jenkins, J Econ Inequ 17(1):51–76, 2019). Using the longitudinal element of EU-SILC, this paper assesses the accuracy of the synthetic panel approach put forth by Dang and Lanjouw (2021). For most conventional poverty lines, the DL approach is found to be highly accurate when the true $$\rho $$
ρ
is known. Similar to Hérault and Jenkins (J Econ Inequ 17(1):51–76, 2019) the pseudo-panel approach for estimating $$\rho $$
ρ
is found to be highly sensitive to cohort definition. The longitudinal element of EU-SILC, however, offers a unique route for overcoming this shortcoming.
The value of FDG PET/CT imaging in outcome prediction and response assessment of lymphoma patients treated with immunotherapy: a meta-analysis and systematic review
Authors: Kiamanesh Zahra , Ayati Narjess , Sadeghi Ramin , Hawkes Eliza , Lee Sze Ting , Scott Andrew M. 
Published: August 2022

Abstract

Purpose
Treatment strategies of lymphoid malignancies have been revolutionized by immunotherapy. Because of the inherent property of Hodgkin lymphoma and some subtypes of non-Hodgkin lymphoma as a highly FDG-avid tumor, functional 18F-FDG PET/CT imaging is already embedded in their routine care. Nevertheless, the question is whether it is still valuable in the context of these tumors being treated with immunotherapy. Herein, we will review the value of 18F-FDG PET/CT imaging lymphoid tumors treated with immunotherapy regimens.

Methods
A comprehensive literature search of the PubMed database was conducted on the value of the 18F-FDG PET/CT for immunotherapy response monitoring of patients with malignant lymphoma. The articles were considered eligible if they met all of the following inclusion criteria: (a) clinical studies on patients with different types of malignant lymphoma, (b) treatment with anti-CD20 antibodies, immune checkpoint inhibitors or immune cell therapies, (c) and incorporated PET/CT with 18F-FDG as the PET tracer.

Results
From the initial 1488 papers identified, 91 were ultimately included in our study. In anti-CD20 therapy, the highest pooled hazard ratios (HRs) of baseline, early, and late response monitoring parameters for progression-free survival (PFS) belong to metabolic tumor volume (MTV) (3.19 (95%CI: 2.36–4.30)), maximum standardized uptake value (SUVmax) (3.25 (95%CI: 2.08–5.08)), and Deauville score (DS) (3.73 (95%CI: 2.50–5.56)), respectively. These measurements for overall survival (OS) were MTV (4.39 (95%CI: 2.71–7.08)), DS (3.23 (95%CI: 1.87–5.58)), and DS (3.64 (95%CI: 1.40–9.43)), respectively. Early and late 18F-FDG PET/CT response assessment in immune checkpoint inhibitors (ICI) and immune cell therapy might be an effective tool for prediction of clinical outcome.

Conclusion
For anti-CD20 therapy of lymphoma, the MTV as a baseline 18F-FDG PET/CT-derived parameter has the highest HRs for PFS and OS. The DS as visual criteria in early and late response assessment has higher HRs for PFS and OS compared to the international harmonization project (IHP) visual criteria in anti-CD20 therapy. Early changes in 18F-FDG PET parameters may be predictive of response to ICIs and cell therapy in lymphoma patients.
Effect of Intraperitoneal Local Anesthetics in Laparoscopic Bariatric Surgery: A Meta‐Analysis of Randomized Controlled Trials
Authors: Dai Senjie , Fu Rongrong , Jiang Siya , He Yuanfang , Huang Tongmin , Zhou Bin , Gong Hongjun 
Published: August 2022

AbstractObjectiveThe effectiveness of intraperitoneal local anesthesia (IPLA) has been confirmed in other fields, but its use in bariatric surgery remains debatable. This study aimed to evaluate the analgesic effect of IPLA in bariatric surgery.MethodsPubMed, Web of Science, Embase, and the Cochrane Library were searched from inception to February 2022. All randomized controlled trials (RCTs) assessing IPLA's analgesic effect in bariatric surgery were included in this study. Pain‐related indicators were the outcome.ResultsTen RCTs with 979 patients were included. Postoperative pain scores were significantly lower in IPLA group. Subgroup analysis demonstrated that IPLA was associated with lower pain scores in 6 h and at 24 h compared to the control group, without significant differences at 8, 12, and 48 h. Meanwhile, IPLA reduced the dose of opioids taken postoperatively. Additionally, there were no differences in adverse events between the two groups. As far as the number of postoperative analgesics used and hospital stays were concerned, our results did not show statistical differences between the two groups.ConclusionIPLA can reduce postoperative pain safely and effectively, particularly during the early postoperative stage.
Presence or absence of a prefrontal sulcus is linked to reasoning performance during child development
Authors: Willbrand Ethan H. , Voorhies Willa I. , Yao Jewelia K. , Weiner Kevin S. , Bunge Silvia A. 
Published: August 2022

AbstractThe relationship between structural variability in late-developing association cortices like the lateral prefrontal cortex (LPFC) and the development of higher-order cognitive skills is not well understood. Recent findings show that the morphology of LPFC sulci predicts reasoning performance; this work led to the observation of substantial individual variability in the morphology of one of these sulci, the para-intermediate frontal sulcus (pimfs). Here, we sought to characterize this variability and assess its behavioral significance. To this end, we identified the pimfs in a developmental cohort of 72 participants, ages 6–18. Subsequent analyses revealed that the presence or absence of the ventral component of the pimfs was associated with reasoning, even when controlling for age. This finding shows that the cortex lining the banks of sulci can support the development of complex cognitive abilities and highlights the importance of considering individual differences in local morphology when exploring the neurodevelopmental basis of cognition.
Modelling reoxygenation effects in non-small cell lung cancer cell lines and showing epithelial-mesenchymal transition
Authors: Kapeleris Joanna , Müller Bark Juliana , Ranjit Shanon , Richard Derek , Vela Ian , O’Byrne Kenneth , Punyadeera Chamindie 
Published: August 2022

Abstract
Purpose
Circulating tumour cells (CTCs) are a rare cell subpopulation regulated by the tumour microenvironment. In hypoxic conditions, CTCs are able to invade the lymphatic and circulatory systems leading to metastasis at distant sites.

Methods
To mimic in vivo oxygen variations and effects on CTCs, we have cultured five non-small cell lung cancer (NSCLC) cell lines under normoxic and hypoxic conditions, followed by a pulse of reoxygenation for 4 h.

Results
Proliferation, spheroid-formation and colony formation ability under varying O2 levels were investigated. Proliferation rate was not altered when cells were cultured in 2D models under hypoxic conditions. However, we observed that hypoxia enhanced in vitro formation of tumour-spheres and accelerated clonogenicity of NSCLC cell lines. In addition, cells exposed to hypoxia and reoxygenation conditions showed altered expression of epithelial-mesenchymal transition (EMT) related genes in NSCLC cell lines both at mRNA (AKT1, CAMK2NH1, DESI1, VIM, MAP1B, EGFR, ZEB1, HIF1α) and protein levels (Vimentin, Pan-cytokeratin).

Conclusion
Our data suggest that when investigating CTCs as a prognostic biomarker in NSCLC, it is also essential to take into consideration EMT status to obtain a comprehensive overview of CTCs in circulation.
Biomechanical comparison of multi-rod constructs by satellite rod configurations (in-line vs. lateral) and screw types (monoaxial vs. polyaxial) spanning a lumbar pedicle subtraction osteotomy (PSO): is there an optimal configuration?
Authors: Shekouhi Niloufar , Vosoughi Ardalan S. , Zavatsky Joseph M. , Goel Vijay K. , Theologis Alekos A. 
Published: August 2022

Abstract
Purpose
Multi-rod constructs are used commonly to stabilize pedicle subtraction osteotomies (PSO). This study aimed to evaluate biomechanical properties of different satellite rod configurations and effects of screw-type spanning a PSO.

Methods
A validated 3D spinopelvic finite element model with a L3 PSO (30°) was used to evaluate 5 models: (1) Control (T10–pelvis + 2 rods); (2) lateral satellite rods connected via offsets to monoaxial screws (LatSat-Mono) or (3) polyaxial screws (LatSat-Poly); (4) in-line satellite rods connected to monoaxial screws (InSat-Mono) or (4) polyaxial screws (InSat-Poly). Global and PSO range of motions (ROM) were recorded. Rods’ von Mises stresses and PSO forces were recorded and the percent differences from Control were calculated.

Results
All satellite rods (save InSat-Mono) increased PSO ROM and decreased primary rods’ von Mises stresses at the PSO. Lateral rods increased PSO forces (LatSat-Mono:347.1 N; LatSat-Poly:348.6 N; Control:336 N) and had relatively lower stresses, while in-line rods decreased PSO forces (InSat-Mono:280.1 N; InSat-Poly:330.7 N) and had relatively higher stresses. Relative to polyaxial screws, monoaxial screws further decreased PSO ROM, increased satellite rods’ stresses, and decreased PSO forces for in-line rods, but did not change PSO forces for lateral rods.

Conclusion
Multi-rod constructs using in-line and lateral satellite rods across a PSO reduced primary rods' stresses. Subtle differences in biomechanics suggest lateral satellite rods, irrespective of screw type, increase PSO forces and lower rod stresses compared to in-line satellite rods, which had a high degree of posterior instrumentation stress shielding and lower PSO forces. Clinical studies are warranted to determine if these findings influence clinical outcomes.