bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and verification of an immune-related gene prognostic index for gastric cancer
Authors: Zhang Chen , Liu Tao , Wang Jian , Zhang JianTao 
Published: September 2022

AbstractImmune checkpoint inhibitor (ICI) therapy is an emerging and effective approach to the treatment of gastric cancer (GC). However, the low response rate of GC patients to ICI therapy is a major limitation of ICI therapy. We investigated the transcriptomic signature of immune genes in GC could provide a comprehensive understanding of the tumor microenvironment (TME) and identify a valuable biomarker to predict the response of GC patients receiving immunotherapy. We performed the weighted gene co-expression network analysis (WGCNA) to determine immune-related hub genes that differentially expressed in the GC dataset based on The Cancer Genome Atlas (TCGA). After that, univariate and multivariate Cox regression was performed to recognize prognostic genes associated with overall survival and to develop an immune-related gene prognostic index (IRGPI). Furthermore, we explored the possible correlation between IRGPI and immune cell infiltration and immunotherapy efficacy. Notably, IRGPI can predict the prognosis of GC patients, as well as the response to immunotherapy. IRGPI as an immune-related prognostic biomarker might bring some potential implications for immunotherapy strategies in GC.
Association between quality of life, sleep quality and mental disorders in Iranian older adults
Authors: Khorshidi Ali , Rostamkhani Marzieh , Farokhi Roya , Abbasi-Ghahramanloo Abbas 
Published: September 2022

AbstractAging as a major challenge can affect the development and growth of countries all around the world. This study aimed to identify the subgroups of the elderly based on the quality of life (Qol), sleep quality, and common mental disorders and assess the role of demographic characteristics on the membership of participants in each latent class. This cross-sectional study was conducted on 1064 people over the age of 60 years. The sample was selected through cluster sampling in northern Iran. All participants completed six sets of checklists and questionnaires. Data analysis was performed using latent class analysis. Three latent classes were identified; namely, (1) healthy (66.8%), (2) anxious and with poor sleep quality (28.6%), and unhealthy (4.6%). Being Female significantly increased the odds of membership in classes 2 and 3 compared to class 1. Furthermore, living in urban areas increased the odds of belonging to class 2 and class 3 compared to class 1. Illiteracy was also shown to increase the odds of being in class 3 in comparison to class 1. Results from the present indicate that the co-occurrence of health problems in 33.2% of the elderly was observed in various forms. The results of this study can be used in prioritizing health programs for the elderly and emphasizing high-risk groups.
Fundamental insight into critical phenomena in condensation growth of nanoparticles in a flame
Authors: Altman Igor , Fomenko Elena , Agranovski Igor E. 
Published: September 2022

AbstractThe paper deals with the gas-phase formation of nanoparticles that is a fundamental process responsible for the condensed matter in the Universe, which also attracts attention due to its involvement in the particle synthesis for various nanotechnology applications. Previously reported results on MgO nano-oxides formed by Mg combustion showed a unique phenomenon coined “the condensation stagnation” that is the occurrence of critical clusters with suppressed growth. Here we focus on the effect of an external ionizer on this condensation growth stagnation. We show that the condensation stagnation occurring in the Mg particle flame subjected to a positive ion flux is similar to that in the unaffected flame. In contrast, applying negative charging significantly influences the state of stagnation of the system, i.e., no critical clusters are observed in the products sampled from the flame. The discovered critical behavior of the state of stagnation is explained in terms of the heat transfer between the condensed MgO nanoparticles and the surrounding gas, which efficiency depends on the sign of the nanoparticle charge. This dependence of the heat transfer efficiency on the nanoparticle charge is a new fundamental effect that should become the basis for accurate modeling in two-phase high-temperature systems.
Use of Automated Kinematic Diadochokinesis Analysis to Identify Potential Indicators of Speech Motor Involvement in Children With Cerebral Palsy
Authors: Allison Kristen M. , Nip Ignatius S. B. , Rong Panying 
Published: September 2022

Purpose:
This study examined multiple variables obtained from an automated measure of lip movement during a diadochokinesis (DDK) task to identify those with potential to detect mild speech motor involvement in school-age children diagnosed with cerebral palsy (CP).

Method:

Eight children with CP and high speech intelligibility and a matched group of eight children with typical development (TD) completed a DDK task while their lip and jaw movements were recorded. A custom MATLAB algorithm was used to automatically extract 23 kinematic measures of children's lip movements during production of the DDK sequences. Mann–Whitney
U
tests were used to compare groups on the kinematic measures, and receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic accuracy of measures that significantly differed between groups.

Results:
Five of the 23 kinematic variables differed significantly between the CP and TD groups. These were two measures of overall DDK performance (i.e., duration of the DDK sequence and number of cycles) and three spatial and temporal measures of lip movement. Duration of the DDK sequence and the mean displacement of the lips across cycles had the highest diagnostic accuracy, differentiating CP and TD groups with 88% sensitivity and 88% specificity.

Conclusions:
Automatically derived kinematic measures of DDK sequences differentiated children with CP and high intelligibility from typically developing children. Future research is needed to determine the clinical utility of these measures for detecting speech motor impairment.
Heart rate variability is related to leucocyte count in men and to blood lipoproteins in women in a healthy population of 35‐year‐old subjects
Authors: Jensen‐Urstad M. , Jensen‐Urstad K. , Ericson M. , Johansson J. 
Published: September 2022

Jensen‐Urstad M, Jensen‐Urstad K, Ericson M, Johansson J (Karolinska Institute, Stockholm, Sweden). Heart rate variability is related to leucocyte count in men and to blood lipoproteins in women in a healthy population of 35‐year‐old subjects. J Intern Med 1998; 243: 33–40.ObjectivesTo investigate if, in a healthy randomly‐selected population of 35‐year‐old men and women, there already is a relation between decreased heart rate variability and conventional risk factors for cardiovascular disease.BackgroundAnalysis of heart rate variability (HRV) has been used for estimating tonic autonomic activity. HRV is reduced in patients with various cardiovascular diseases. If a decreased HRV is a late phenomenon in the progression of cardiovascular disease, or if it parallels or even precedes manifest disease is unknown.DesignSpectral analysis of HRV was made from 24‐hour ambulatory electrocardiograms in a randomised population of healthy 35‐year‐old men (n = 63) and women (n = 70). The different spectral indices of HRV were analysed against gender, leucocyte count (previously described as an independent risk factor for cardiovascular disease), blood lipoproteins, smoking, heredity, body mass index (BMI) and systolic blood pressure.SettingA research centre of general medicine and a university hospital.ResultsMean heart rate was lower, total power (TP), very low frequency power (VLF) and low frequency power (LF) were higher in men than in women. In women TP, VLF and LF were negatively correlated to BMI, smoking, triglycerides and positively correlated to HDL cholesterol. TP and VLF were also negatively correlated to risk factor score. High frequency power (HF), a marker of parasympathetic activity, was positively related to HDL cholesterol. In men, at daytime, TP, VLF, LF and HF were negatively correlated to leucocyte count. TP, VLF and LF were also negatively correlated to triglycerides and VLF also to risk factor score.ConclusionsThere are correlations between HRV and known risk factors for cardiovascular disease already in a healthy 35‐year‐old population. A novel observation is the relationship in men between leucocyte count and heart rate variability.
Apple grading method based on neural network with ordered partitions and evidential ensemble learning
Authors: Ma Liyao , Wei Peng , Qu Xinhua , Bi Shuhui , Zhou Yuan , Shen Tao 
Published: September 2022

AbstractIn order to improve the performance of the automatic apple grading and sorting system, in this paper, an ensemble model of ordinal classification based on neural network with ordered partitions and Dempster–Shafer theory is proposed. As a non‐destructive grading method, apples are graded into three grades based on the Soluble Solids Content value, with features extracted from the preprocessed near‐infrared spectrum of apple serving as model inputs. Considering the uncertainty in grading labels, mass generation approach and evidential encoding scheme for ordinal label are proposed, with uncertainty handled within the framework of Dempster–Shafer theory. Constructing neural network with ordered partitions as the base learner, the learning procedure of the Bagging‐based ensemble model is detailed. Experiments on Yantai Red Fuji apples demonstrate the satisfactory grading performances of proposed evidential ensemble model for ordinal classification.
Stochastic simulation‐based optimization method for arterial traffic signal coordination with equity and efficiency consideration
Authors: Zheng Liang , Feng Min , Yang Xia (Sarah) , Xue Xinfeng 
Published: September 2022

AbstractThis study proposes an innovative stochastic simulation‐based optimization (SSO) model for arterial traffic signal coordination based on the ring‐and‐barrier diagram. The SSO model takes the network traffic equity and the arterial traffic efficiency as the two objectives, which are evaluated by the relative Gini index and the relative vehicular throughout, respectively. Then a surrogate‐based promising area search (SPAS) algorithm is developed to solve the SSO model. The advantage of the SPAS algorithm is that the built‐in shrinking ball method and the promising area search technique help reduce the computational efforts while appropriately capturing the stochasticity. Then some numerical experiments are conducted based on a real‐world urban arterial road with four signalized T‐intersections and field data in Nanchang, China. The numerical results show that the SSO model for arterial traffic signal coordination can be well solved by the proposed SPAS algorithm and that the relationship between the arterial traffic efficiency and the network traffic equity is not completely competitive. Specifically, increasing the weight of arterial traffic efficiency from 0.5 can slightly improve the network traffic equity while significantly improving the arterial traffic efficiency, providing significant guidance for real‐world arterial signal coordination.
Mapping als iterativer Visualisierungsprozess – Einblicke in
regionale Versorgungsstrukturen in der SARS-CoV-2 Pandemie
Authors: Röcker Annika , Krugmann Caroline Sophie , Rebacz Patrick , Kesztyüs Dorothea , Barzel Anne 
Published: September 2022

Zusammenfassung
Ziel der Studie Über die Zusammenarbeit verschiedener Akteur:innen
der Gesundheitsversorgung in der Pandemie ist – insbesondere im Hinblick
auf die Aufgabenteilung zwischen Sektoren – wenig bekannt. Exemplarisch
für eine Region in Baden-Württemberg sollte unter Verwendung
einer expertengestützten Visualisierungsmethode der Austausch relevanter
Akteur:innen angeregt werden, um sich auf Zuständigkeiten,
Prioritäten und Zielsetzungen zu verständigen.
Methodik Die Erarbeitung eines Gesamtbildes („Mapping“)
zur Pandemiesituation in Ulm/Alb-Donau-Kreis erfolgte in Anlehnung an
die Methode „Knowledge Visualization“ in mehreren Phasen.
Zunächst wurden semi-strukturierte Interviews mit lokalen Akteur:innen
der Gesundheitsversorgung geführt und visualisiert. In einer gemeinsamen
Video-Konferenz wurden diese Einzelperspektiven vorgestellt, diskutiert und bei
Bedarf modifiziert. Es folgte ein moderierter, durch einen
Visualisierungs-Experten („Visionom“) begleiteter Austausch mit
dem Ziel, sich auf gemeinsame Strategien für die Versorgung in der
Pandemie zu verständigen. Dieser Prozess wurde als Mapping zur
Pandemiesituation professionell dokumentiert.
Ergebnisse Alle Teilnehmenden zeigten große Motivation und
empfanden es als interessant und wertvoll, die Perspektiven anderer Akteur:innen
näher kennenzulernen. Die iterative Visualisierung wirkte stark
aktivierend und regte Reflexionsprozesse an. Personelle Zuständigkeiten
erwiesen sich als nicht immer klar, Kommunikationsprobleme wurden offengelegt.
Es besteht der Wunsch nach Fortsetzung des begonnenen Prozesses.
Schlussfolgerung Iterative Visualisierungen können den Impuls
geben, Implikationen auf Handlungsebene, Metastrukturen und Entscheidungsgremien
einzuleiten. Wir empfehlen diese Methode auch für andere Fragestellungen
in Bezug auf lokale bzw. regionale Strukturen.
Metastase oder Sarkoidose – eine diagnostische Herausforderung beim metastasierten Rektumkarzinom
Authors: Brunner Marius , Ammer-Herrmenau Christoph , Biggemann Lorenz , Ströbel Philipp , König Alexander , Ellenrieder Volker , Petzold Golo 
Published: September 2022

Zusammenfassung
Hintergrund Granulomatöse Erkrankungen wie Sarkoidose können die Diagnostik bei onkologischen Erkrankungen erschweren, da Metastasen bildmorphologisch häufig nicht von Granulomen zu unterscheiden sind. Die vorliegende Kasuistik beschreibt Diagnostik und Therapie eines Patienten mit fortgeschrittener Sarkoidose und einem hepatisch metastasierten Rektumkarzinom mit schlussendlichem Erreichen eines kurativen Stadiums.
Fallbeschreibung Bei einem 71-jährigen Patienten wurde im Rahmen der Abklärung ungewollten Gewichtsverlustes sowie einer Anämie ein Adenokarzinom des Rektums diagnostiziert. Die weitere Umfelddiagnostik ergab bildmorphologisch den hochgradigen Verdacht auf multiple rechtshepatische, pulmonale und splenische Metastasen. Histologisch zeigten sich nach bronchoskopischer Biopsie der mediastinalen Lymphknoten jedoch nichtverkäsende Epitheloidzellgranulome als Manifestation einer bis dato nicht bekannten Sarkoidose. Aufgrund des stenosierenden Tumors erfolgte eine Rektumresektion mit Milzextirpation bei intraoperativ hochgradigem Verdacht auf Milzmetastasen. Histologisch zeigten sich in der Milz eine Beteiligung im Rahmen der Sarkoidose. Bei bildmorphologisch weiterhin suspekten rechtshepatischen Leberläsionen erfolgte postoperativ eine Stanzbiopsie einer Läsion, die histologisch sowohl eine Metastase des bekannten Rektumkarzinoms als auch eine Sarkoidose ergab. Es erfolgte eine pseudo(neo)adjuvante Therapie mit 5-Fluorouracil, Leukovorin und Oxaliplatin (FOLFOX) und Panitumumab (Anti-EGF-Antikörper). Bildmorphologisch zeigten sich posttherapeutisch 2 Leberläsionen regredient, mehrere weitere größenstabil. Es erfolgte eine erweiterte Hemihepatektomie rechts mit histologischem Nachweis von sowohl Metastasen als auch Sarkoidose-Herden. Der zu diesem Zeitpunkt tumorfreie Patient wurde in die engmaschige Nachsorge entlassen, die sich im weiteren Verlauf (13 Monate) bildmorphologisch ohne Rezidivhinweis zeigte.
Diskussion Das gleichzeitige Auftreten von metastasierten Tumorerkrankungen und Sarkoidoseherden führt zu einem diagnostischen Dilemma, da die Manifestationen bildmorphologisch kaum unterschieden werden können. Dieser Fallbereich zeigt, dass eine umfassende histologische Aufarbeitung der unterschiedlichen betroffenen Organe mit konsekutiven Resektionen schlussendlich zu einer Tumorfreiheit des Patienten führen kann.
Vexas Syndrome Presenting As Long Covid-19
Authors: Yildirim Derya , Inan Mehmet Arda , Akyurek Nalan , Tufan Abdurrahman 
Published: September 2022

Abstract
Objective VEXAS (vacuoles, E1 enzyme, X-linked, autoinflammatory, somatic)
syndrome is a recently described systemic inflammatory syndrome caused by
somatic mutations of UBA1. COVID-19 is a viral infection that was described in
2019 and spread widely and quickly all around the world. Constitutional,
thrombotic and pulmonary symptoms of these two conditions are similar, which is
why cases of VEXAS syndrome may be misdiagnosed as a COVID infection.
Case report We introduced a case report of a 72-year-old male patient with
VEXAS syndrome who had fever, fatigue, deep vein thrombosis and a cough and was
thought to have a long COVID-19 infection for one year. Then we diagnosed him
with VEXAS syndrome with vacuoles in myelomonocytic cells, skin lesions and a
mutation of the UBA-1 gene.
Conclusion VEXAS and long COVID are two new conditions with overlapping
clinical presentations. Physicians must be aware of these clinical conditions
because of their different treatment strategy and prognosis.
Conceptual study for velocity space resolved thermal ion loss detection in tokamaks
Authors: Poley-Sanjuán J. , Galdón-Quiroga J. , Viezzer E. , Rueda-Rueda J. , Cano-Megias P. , Oyola P. , Cruz-Zabala D. J. ,   ASDEX Upgrade Team
Published: September 2022

A new concept for velocity space thermal ion loss detection is presented. This diagnostic provides pitch angle resolved measurements that are unfeasible with current diagnostics. It uses the same detection principle as the Fast-Ion Loss Detector with a scintillator as the active component and includes a double slit configuration to measure simultaneously the escaping counter- and co-current ions. Simulations show a gyroradius range between 0.15 and 1.00 cm with a resolution below 0.15 cm (for a gyroradius of 1 cm) and a pitch angle range between 30° and 150° with a resolution below 8° for both counter- and co-current ions. The formation of a sheath in front of the detector and its associated electric field may impact the detection principle. Preliminary simulations with a homogeneous electric field show a decrease in the measurable velocity space range, whereas the gyroradius and pitch angle resolution barely change. The strike map is sensitive to the sheath electric field.
The excited states of azulene: A study of the vibrational energy levels for the lower ππ*-valence states by configuration interaction and density functional calculations, and theoretical studies of the Rydberg states
Authors: Palmer Michael H. , Jones Nykola C. , Hoffmann Søren Vrønning , Aitken R. Alan , Coreno Marcello , de Simone Monica , Grazioli Cesare , Patterson Iain L. J. 
Published: September 2022

A new vacuum ultraviolet absorption (VUV) spectrum of azulene vapor has been obtained by using a synchrotron radiation source. The onset of the ultraviolet spectrum, previously reported by Sidman et al., has been analyzed in detail by Franck–Condon (FC) and Herzberg–Teller (HT) methods. The photoelectron spectral profile identifies the 3px-Rydberg state 00 band to be 131 cm−1 from the VUV maximum. Excited state energy levels were calculated by three independent methods: the wide scan VUV spectrum was correlated with symmetry adapted cluster configuration interaction calculations. The low energy portion of the spectrum was studied by both time dependent density functional theoretical methods (TDDFT) and multi-reference multi-root CI (MRD-CI). Equilibrium structures were determined for valence states at the TDDFT level. Rydberg states were determined by both TDDFT and MRD-CI. The FC + HT analyses were performed on the TDDFT wave-functions. The HT intensity profiles are generally low in intensity, relative to the FC ones; however, HT is dominant in the second singlet state (S2, 11A1). As a result, numerous non-symmetric modes, their overtones, and combination bands show considerable intensity in that band. Energies obtained from use of extremely diffuse s-, p-, d-, or f-character functions enabled realistic extrapolation to the IE1 for many Rydberg states (RS). The lowest RS (3b13s) based on IE2 lies at 4.804 eV with a quantum defect of 0.714. Differentiation between valence and RS is readily made using the second moments of the charge distribution.
Coherent emission from surface Josephson plasmons in striped cuprates
Authors: Nicoletti D. , Buzzi M. , Fechner M. , Dolgirev P. E. , Michael M. H. , Curtis J. B. , Demler E. , Gu G. D. , Cavalleri A. 
Published: September 2022

The interplay between charge order and superconductivity remains one of the central themes of research in quantum materials. In the case of cuprates, the coupling between striped charge fluctuations and local electromagnetic fields is especially important, as it affects transport properties, coherence, and dimensionality of superconducting correlations. Here, we study the emission of coherent terahertz radiation in single-layer cuprates of the La
2-x
Ba
x
CuO
4
family, for which this effect is expected to be forbidden by symmetry. We find that emission vanishes for compounds in which the stripes are quasi-static but is activated when
c
-axis inversion symmetry is broken by incommensurate or fluctuating charge stripes, such as in La
1.905
Ba
0.095
CuO
4
and in La
1.845
Ba
0.155
CuO
4
. In this case, terahertz radiation is emitted by surface Josephson plasmons, which are generally dark modes, but couple to free space electromagnetic radiation because of the stripe modulation.
ADJUST: a dictionary-based joint reconstruction and unmixing method for spectral tomography
Authors: Zeegers Mathé T , Kadu Ajinkya , van Leeuwen Tristan , Batenburg Kees Joost 
Published: September 2022

Abstract
Advances in multi-spectral detectors are causing a paradigm shift in x-ray computed tomography (CT). Spectral information acquired from these detectors can be used to extract volumetric material composition maps of the object of interest. If the materials and their spectral responses are known a priori, the image reconstruction step is rather straightforward. If they are not known, however, the maps as well as the responses need to be estimated jointly. A conventional workflow in spectral CT involves performing volume reconstruction followed by material decomposition, or vice versa. However, these methods inherently suffer from the ill-posedness of the joint reconstruction problem. To resolve this issue, we propose ‘A Dictionary-based Joint reconstruction and Unmixing method for Spectral Tomography’ (ADJUST). Our formulation relies on forming a dictionary of spectral signatures of materials common in CT and prior knowledge of the number of materials present in an object. In particular, we decompose the spectral volume linearly in terms of spatial material maps, a spectral dictionary, and the indicator of materials for the dictionary elements. We propose a memory-efficient accelerated alternating proximal gradient method to find an approximate solution to the resulting bi-convex problem. From numerical demonstrations on several synthetic phantoms, we observe that ADJUST performs exceedingly well compared to other state-of-the-art methods. Additionally, we address the robustness of ADJUST against limited and noisy measurement patterns. The demonstration of the proposed approach on a spectral micro-CT dataset shows its potential for real-world applications. Code is available at https://github.com/mzeegers/ADJUST.