bluuebunny/crossref_metadata_2025_split huggingface dataset:
Schwere Komplikationen bei Lebendimpfungen
Authors: Gothe Florian 
Published: November 2024

ZUSAMMENFASSUNG
Lebendimpfstoffe erzeugen eine starke, lang-anhaltende Immunität und haben Millionen Menschenleben weltweit gerettet. Sehr selten jedoch können sich angeborene Störungen des Immunsystems nach einer Lebendimpfung manifestieren. Im vorliegenden Beitrag sollen anhand monogenetischer Immundefekte entscheidende Mechanismen der antiviralen Immunität diskutiert werden. Das Verständnis der jeweiligen pathophysiologischen Grundlagen erlaubt Rückschlüsse beispielsweise auf die Impfstoffentwicklung.
CT Coronary Angiogram in Diagnosing IgG4 of Coronary Arteries Presenting as Acute Coronary Syndrome: A Case Report with Literature Review
Authors: Choudhury Apratim Roy , Valakkada Jineesh , Ayappan Anoop , Sharma Smily 
Published: November 2024

AbstractImmunoglobulin G4-related disease (IgG4 RD), first described in 2001, as a case of autoimmune pancreatitis, is a multisystemic condition, involving the salivary glands, bile ducts, pancreas, retroperitoneal organs, and mesentery and is associated with raised level of serum IgG4. Reports of coronary involvement by IgG4 RD are scarce and we could find only 16 case reports in the literature. Here, we present a case of a 61-year-old lady, with no known comorbidities, who presented with rapid progression of coronary artery stenosis. Initially, she presented with mild stenosis of left anterior descending which rapidly progressed to significant triple vessel disease in 3 months. Serological workup for antibodies was negative, except for raised serum IgG4 antibodies. She was managed effectively with steroids.
Recent developments in superjunction power devices
Authors: Ma Chao , Chen Weizhong , Liu Teng , Zhang Wentong , Zhang Bo 
Published: November 2024

Abstract
Superjunction (SJ) is one of the most innovative concepts in the field of power semiconductor devices and is often referred to as a "milestone" in power MOS. Its balanced charge field modulation mechanism breaks through the strong dependency between the doping concentration in the drift region and the breakdown voltage V
B in conventional devices. This results in a reduction of the trade-off relationship between specific on-resistance R
on,sp and V
B from the conventional R
on,sp∝V
B
2.5 to R
on,sp∝W∙V
B
1.32, and even to R
on,sp∝W·V
B
1.03. As the exponential term coefficient decreases, R
on,sp decreases with the cell width W, exhibiting a development pattern reminiscent of "Moore’s Law". This paper provides an overview of the latest research developments in SJ power semiconductor devices. Firstly, it introduces the minimum specific on-resistance R
on,min theory of SJ devices, along with its combination with special effects like 3-D depletion and tunneling, discussing the development of R
on,min theory in the wide bandgap SJ field. Subsequently, it discusses the latest advancements in silicon-based and wide bandgap SJ power devices. Finally, it introduces the homogenization field (HOF) and high-K voltage-sustaining layers derived from the concept of SJ charge balance. SJ has made significant progress in device performance, reliability, and integration, and in the future, it will continue to evolve through deeper integration with different materials, processes, and packaging technologies, enhancing the overall performance of semiconductor power devices.
Nanocomposite superstructure of zinc oxide mesocrystal/reduced graphene oxide with effective photoconductivity
Authors: Ahmad Ahmad A. , Al-Bataineh Qais M. , Migdadi Ahmad B. 
Published: November 2024

Abstract
Metal oxide mesocrystals are the alignment of metal oxide nanoparticles building blocks into the ordered superstructure, which have potentially tunable optical, electronic, and electrical properties suitable for practical applications. Herein, we report an effective method for synthesizing mesocrystal zinc oxide nanorods (ZnONRs). The crystal, surface, and internal structures of the zinc oxide mesocrystals were fully characterized. Mesocrystal zinc oxide nanorods/reduced graphene oxide (ZnONRs/rGO) nanocomposite superstructure were synthesized also using the hydrothermal method. The crystal, surface, chemical, and internal structures of the ZnONRs/rGO nanocomposite superstructure were also fully characterized. The optical absorption coefficient, bandgap energy, band structure, and electrical conductivity of the ZnONRs/rGO nanocomposite superstructure were investigated to understand its optoelectronic and electrical properties. Finally, the photoconductivity of the ZnONRs/rGO nanocomposite superstructure was explored to find the possibilities of using this nanocomposite superstructure for ultraviolet (UV) photodetection applications. Finally, we concluded that the ZnONRs/rGO nanocomposite superstructure has high UV sensitivity and is suitable for UV detector applications.
A new and highly precise forecasting method based on multiple input Convolutional Neural Networks and Generative Adversarial Networks for training data set augmentation
Authors: Boicea Adrian-Valentin , Vulpe-Grigoraşi Adrian 
Published: November 2024

Abstract
Forecasting is essential when it comes to power system operation. It is always equivalent with higher revenues and, implicitly, lower maintenance costs. That is why, it is the purpose of this work to introduce a new and highly precise wind power forecasting neural model based on a multiple input (multi-channel) Convolutional Neural Network (CNN) and a Generative Adversarial Network (GAN) for training data augmentation. The training of the CNN is conducted simultaneously with historical data related to both power generation and wind speeds.
Tri-band planar antenna for a small robotic vehicle
Authors: Richterova M , Virgala J , Popela M , Kuzel P 
Published: November 2024

Abstract
This paper describes the design, analysis of properties and fabrication of a tri-band antenna for a small robotic vehicle. The E-shaped tri-band antenna was chosen for its simplicity, practicality and universality. The design of the tri-band antenna and the simulation of its properties were implemented in the Matlab programming environment using the Antenna Toolbox extension. The designed tri-band antenna was fabricated, its properties were measured and the measured results are compared with the simulations for subsequent analysis.
Multimodal evaluations of electromagnetic hazards while using MRI systems
Authors: Karpowicz Jolanta 
Published: November 2024

Abstract
At the heart of evaluating electromagnetic hazards near magnetic resonance imaging (MRI) systems used in medical diagnostics is to reveal the range of space surrounding the system that is affected by static magnetic field (SMF) to an extent potentially causing: (a) movement-related disturbances in human balance, which may lead to direct safety hazards for affected workers or patients; (b) a projectile effect in heavy ferromagnetic objects, which may create lethal hazards for workers and patients, as well as serious damage to the MRI scanner; (c) a projectile effect in small ferromagnetic objects, which may cause non-lethal hazards for workers or patients, for example by cutting the skin of a person hit by an object, though this is usually not dangerous to the MRI equipment. Additionally, thermal and electrodynamic effects in humans and equipment affected by time-varying MRI emissions (gradient and radiofrequency fields) need evaluation and prevention. The characteristics of static and time-varying electromagnetic fields near MRI systems and a multimodal evaluation of related hazards are discussed based on results of long-term environmental studies – using an exposure-oriented evaluation applying exposure limits or action levels, as well as a space-oriented evaluation applying the concept of Functional Intervention Levels (FIL). The newly tested applicability of autonomous EMF data loggers when evaluating these electromagnetic hazards near MRI systems is also considered.
Electromagnetic exposure of population in three cities of Romania at four years difference, based on data recorded by the fixed national radiofrequency monitoring network
Authors: Deaconescu D B , Petrita T , Miclaus S 
Published: November 2024

Abstract
The blooming of wireless technologies and the deployment of the fifth generation (5G) of mobile communications have been accompanied by a significant increase in the risk perception related to human exposure to radio-frequency electromagnetic field (RF-EMF). Therefore, EMF monitoring has become necessary in areas with increased densification of the EMF sources. Present work made use of the raw data kindly provided by the National Authority for Management and Regulation in Communications (ANCOM) in Romania from the fixed EMF sensor network nationally deployed. We aimed to analyze the case of electric field level evolution after four years, in three cities. In each city a single monitoring station was chosen in the analysis. Database in the wide- and narrow-bandwidths covering the range (100 kHz – 7 GHz) was processed for whole years 2019 and 2023. Comparisons between locations and years were enabled by means of: a) descriptive statistics; b) time series analysis with Poincare plots for time-variability characterization; c) recurrence quantification analysis to emphasize the nonlinear dynamics of the exposure levels, respectively the recurring exposure levels dynamics. Similarities and dissimilarities were observed and discussed.
Chemical biosensor for detecting immunity against viral diseases (SARS-COV2)
Authors: Vlad-Alexandru Anitei , Munteanu Mihai 
Published: November 2024

Abstract
Due to the need of developing means of rapid testing for SARS COV 2 virus infection, a series of methods for fast investigation of individuals have been created. In this regard, this article proposes a colorimetric testing method for the infection, using a chemically modified paper support and an RGB analysis method to identify positive tests.
Impact of a MATLAB-controlled application on the autonomy of ischemic stroke patients in the hospital
Authors: Ivascu D. A. , Munteanu M. 
Published: November 2024

Abstract
This study explores the possibility of using a Matlab-controlled electromyographic system, based on a microcontroller, in monitoring and assisting patients with contralateral hemiplegia following an ischemic stroke, paralyzed on one side of the body and bedridden. The main aim is, by generating electrical signals based on the level of flexion of the patient’s healthy arm or clenching of the patient’s healthy fist, the system can control various devices and alert medical staff. The technology provides support and independence to patients in performing some of their daily activities.
Dynamic Forecasting of COVID-19 Spread Using ARMAX Models
Authors: Stancioi Cristina-Maria , Muresan Vlad , Abrudean Mihail , Stelian Munteanu Mihai , Sita Valentin 
Published: November 2024

Abstract
The COVID-19 pandemic, unprecedented in the last 100 years, struck with the massive impact it had on humanity in multiple ways, but from the medical perspective the unpredictability of the course of the disease and the wide spectrum of clinical manifestations, with extreme serious and lethal accents for a percentage of patients, was a massive reason for concern. Therefore, researchers are still trying to decipher the body’s immune response and the duration of protection against a new reinfection. Immunological memory is the basis of durable protective immunity after infections or vaccinations. Its duration after infection with coronavirus 2 (SARS-CoV-2) is still under study, but more and more data are coming to complete this puzzle. Accurately foreseeing the virus’s progress is critical for allocating medical resources, managing industry operations, and maintaining economic growth. To this goal, dependable and appropriate forecasting techniques based on strong mathematical models are required. This paper investigates the use of ARMAX (Autoregressive Moving Average with Exogenous Inputs) models to forecast epidemiological trends in COVID-19 outbreaks, with an emphasis on Romania.
The CDK8 kinase module: A novel player in the transcription of translation initiation and ribosomal genes
Authors: Friedson Brittany , Willis Stephen D. , Shcherbik Natalia , Campbell Alicia N. , Cooper Katrina F. 
Published: November 2024

Survival following stress is dependent upon reprogramming transcription and translation. Communication between these programs following stress is critical for adaptation but is not clearly understood. The Cdk8 kinase module (CKM) of the Mediator complex modulates the transcriptional response to various stresses. Its involvement in regulating translational machinery has yet to be elucidated, highlighting an existing gap in knowledge. Here, we report that the CKM positively regulates a subset of ribosomal protein (RP) and translation initiation factor (TIF)-encoding genes under physiological conditions in Saccharomyces cerevisiae. In mouse embryonic fibroblasts and HCT116 cells, the CKM regulates unique sets of RP and TIF genes, demonstrating some conservation of function across species. In yeast, this is mediated by Cdk8 phosphorylation of one or more transcription factors which control RP and TIF expression. Conversely, the CKM is disassembled following nutrition stress, permitting repression of RP and TIF genes. The CKM also plays a transcriptional role important for promoting cell survival, particularly during translational machinery stress triggered by ribosome-targeting antibiotics. Furthermore, in mammalian cells, the activity of CDK8 and its paralogue, CDK19, promotes cell survival following ribosome inhibition. These results provide mechanistic insights into the CKM's role in regulating expression of a subset of genes associated with translation.
Irish Elites
Authors: O’Neill Ciaran 
Published: November 2024

Abstract
This chapter opens with Peggy Keating’s search for her absentee landlady in London and uses this case as a way to explore the wider issues of absence and encumbrance among the Irish landed gentry. Absenteeism was an imperial issue as well as an Irish one, and the chapter explores the idea of absence on both a physical and an emotional plane. By examining the complex web of relationships between landlords, tenants, and the land itself, this chapter reveals how the phenomenon of absenteeism was both a symptom of and a contributing factor to the broader social, economic, and cultural upheavals of the time.
The Spiritual Path
Authors: Whitehouse Deja 
Published: November 2024

Abstract
This chapter examines Harris’s spiritual path and beliefs prior to her involvement with Crowley. Consideration is given to spiritual seekers who were unable to find fulfilment in conventional religions. The beliefs of Harris’s parents are analysed, set in the context of middle-class Christian society. Primary source material includes Harris’s own catalogue of esoteric and mystical texts, and this chapter seeks to identify pre-Crowley interests. Harris’s possible involvement in spiritualism and her documented participation in Christian Science are discussed. Influences such as the Celtic Revival and Greek mythology are explored, with specific reference to her illustrated story Winchelsea, published in 1926. Her early interest in Theosophy and Anthroposophy is considered, and her involvement in Freemasonry is also explored.
The Book of Thoth
Authors: Whitehouse Deja 
Published: November 2024

Abstract
This chapter concentrates on The Book of Thoth, from initial discussions between Harris and Crowley in 1937 up to the book’s first publication in 1944, charting the development of the book’s content and Harris’s supporting artwork. Harris’s role in the creation of The Book of Thoth is compared with Pamela Colman Smith’s contribution to A. E. Waite’s Pictorial Key to the Tarot. The development of Harris’s Tarot paintings is considered in detail with reference to Crowley’s reworking of the Golden Dawn Book T descriptions and the astrological, planetary, and Kabbalistic symbolism to be employed. Harris’s endeavours to promote the Tarot, including staging exhibitions and other activities to raise sponsorship, are discussed. The impact of the project on Harris’s relationship with both her husband and Crowley is examined. The chapter then considers the initial publication of The Book of Thoth and Harris’s subsequent endeavours to secure a publisher for both the Tarot cards and the book.
Association of Discrimination Experiences with Rapid Subsequent Changes in Anxiety and Depressive Symptoms in U.S. Adults During the COVID-19 Pandemic
Authors: Ordonez Maricar , Bae Dayoung , Wong Melissa , Leventhal Adam M , Dai Hongying D , Cho Junhan 
Published: November 2024

Abstract
This study explores how discrimination experiences during the COVID-19 pandemic relate to anxiety and depressive symptoms in U.S. adults. Using a national representative intensive longitudinal survey, the study evaluates rapid subsequent changes in anxiety and depression when individuals undergo heightened discrimination beyond their usual experiences. The study used 23 survey timepoints, primarily with 2-week intervals, from the Understanding America Study (n=8,198). Time-varying and time-lagged associations between discrimination experiences and anxiety and depression were modeled using multi-level logistic random-effect repeated-measures regression models. The results showed that discrimination experiences were associated with moderate-to-severe anxiety and depressive symptoms, as well as more than one comorbid psychological distress symptom (adjusted Odds Ratios [AORs]=1.10 to 1.13). The association remained significant regardless of inter-individual differences in exposure to discrimination. Non-Hispanic Blacks, Asians, and other race/ethnicities exhibited stronger associations between discrimination and psychological distress (AORs=1.63 to 1.93) compared to Hispanic and White respondents (AORs=1.13 to 1.25). Our findings suggest that individuals experience a rapid deterioration in their emotional well-being when subjected to heightened levels of discrimination beyond their typical experiences.
PhosX: data-driven kinase activity inference from phosphoproteomics experiments
Authors: Lussana Alessandro , Müller-Dott Sophia , Saez-Rodriguez Julio , Petsalaki Evangelia 
Published: November 2024

Abstract

Summary
The inference of kinase activity from phosphoproteomics data can point to causal mechanisms driving signalling processes and potential drug targets. Identifying the kinases whose change in activity explains the observed phosphorylation profiles, however, remains challenging, and constrained by the manually curated knowledge of kinase–substrate associations. Recently, experimentally determined substrate sequence specificities of human kinases have become available, but robust methods to exploit this new data for kinase activity inference are still missing. We present PhosX, a method to estimate differential kinase activity from phosphoproteomics data that combines state-of-the-art statistics in enrichment analysis with kinases’ substrate sequence specificity information. Using a large phosphoproteomics dataset with known differentially regulated kinases we show that our method identifies upregulated and downregulated kinases by only relying on the input phosphopeptides’ sequences and intensity changes. We find that PhosX outperforms the currently available approach for the same task, and performs better or similarly to state-of-the-art methods that rely on previously known kinase–substrate associations. We therefore recommend its use for data-driven kinase activity inference.

Availability and implementation
PhosX is implemented in Python, open-source under the Apache-2.0 licence, and distributed on the Python Package Index. The code is available on GitHub (https://github.com/alussana/phosx).
Genome Streamlining: Effect of Mutation Rate and Population Size on Genome Size Reduction
Authors: Luiselli Juliette , Rouzaud-Cornabas Jonathan , Lartillot Nicolas , Beslon Guillaume 
Published: November 2024

Abstract
Genome streamlining, i.e. genome size reduction, is observed in bacteria with very different life traits, including endosymbiotic bacteria and several marine bacteria, raising the question of its evolutionary origin. None of the hypotheses proposed in the literature is firmly established, mainly due to the many confounding factors related to the diverse habitats of species with streamlined genomes. Computational models may help overcome these difficulties and rigorously test hypotheses. In this work, we used Aevol, a platform designed to study the evolution of genome architecture, to test 2 main hypotheses: that an increase in population size (N) or mutation rate (μ) could cause genome reduction. In our experiments, both conditions lead to streamlining but have very different resulting genome structures. Under increased population sizes, genomes lose a significant fraction of noncoding sequences but maintain their coding size, resulting in densely packed genomes (akin to streamlined marine bacteria genomes). By contrast, under an increased mutation rate, genomes lose both coding and noncoding sequences (akin to endosymbiotic bacteria genomes). Hence, both factors lead to an overall reduction in genome size, but the coding density of the genome appears to be determined by N×μ. Thus, a broad range of genome size and density can be achieved by different combinations of N and μ. Our results suggest that genome size and coding density are determined by the interplay between selection for phenotypic adaptation and selection for robustness.
Hidden price increases, product downsizing, and shrinkflation: a post-Keynesian macroeconomic perspective
Authors: Melmiès Jordan 
Published: November 2024

Abstract
This article takes a macroeconomic view of the industrial practice of marginally reducing the size/weight of goods or altering the content of goods or services without passing on the cost savings in prices. Although seldom a subject of academic study, this practice has come in for renewed attention with the recent return of inflation because it is one way of containing prices. Variously referred to as “hidden price increases,” “product downsizing,” or “shrinkflation,” it is part of a microeconomic strategy that has macroeconomic effects on both income distribution and consumer well-being.