bluuebunny/crossref_metadata_2025_split huggingface dataset:
Non‐Double‐Couple Components of Seismic Source: Method and Application to the 2014–2015 Bárðarbunga Volcanic Event Sequence, Iceland
Authors: Xu Yanyan , Wen Lianxing 
Published: April 2024

AbstractGenuine non‐double‐couple (non‐DC) components of a seismic source, defined here as the non‐DC components that are not due to summation of pure double‐couple (DC) components, provide important insight into special physical processes in non‐earthquake sources such as explosion, volcano eruption and collapse etc. Yet they remain challenging to be resolved. To address the issue and explore the physical mechanism of those special events, we develop a waveform‐polarity‐based moment tensor (WPMT) inversion method and employ it to study physical process in the 2014–2015 Bárðarbunga volcano event sequence. The WPMT method incorporates P‐wave polarity data and seismic waveforms in the source inversion, designs a source simplicity test to check possible complex rupture in the seismic source, and employs a simulated annealing algorithm to search the best source solution. The simplicity test checks consistency of the source processes in the initiation stage of the event and the major energy release process of the event, thus ensuring that the inferred non‐DC components are genuine to the seismic source. Real event and synthetic tests indicate that the WPMT method can identify and resolve genuine non‐DC components in a seismic source. The WPMT inversions of the Bárðarbunga sequence yield many genuine non‐DC source components and reveal that the eruptions are accompanied by seismic activities in depths of 1–5 km with magma migrations out of chambers, collapses of conduits, failures of normal faults, and a magma recharge at a depth of 9 km accompanied by a failure on a nearby normal fault.
Combined approaches, including long-read sequencing, address the diagnostic challenge of HYDIN in primary ciliary dyskinesia
Authors: Fleming Andrew , Galey Miranda , Briggs Lizi , Edwards Matthew , Hogg Claire , John Shibu , Wilkinson Sam , Quinn Ellie , Rai Ranjit , Burgoyne Tom , Rogers Andy , Patel Mitali P. , Griffin Paul , Muller Steven , Carr Siobhan B. , Loebinger Michael R. , Lucas Jane S. , Shah Anand , Jose Ricardo , Mitchison Hannah M. , Shoemark Amelia , Miller Danny E. , Morris-Rosendahl Deborah J. 
Published: April 2024

AbstractPrimary ciliary dyskinesia (PCD), a disorder of the motile cilia, is now recognised as an underdiagnosed cause of bronchiectasis. Accurate PCD diagnosis comprises clinical assessment, analysis of cilia and the identification of biallelic variants in one of 50 known PCD-related genes, including HYDIN. HYDIN-related PCD is underdiagnosed due to the presence of a pseudogene, HYDIN2, with 98% sequence homology to HYDIN. This presents a significant challenge for Short-Read Next Generation Sequencing (SR-NGS) and analysis, and many diagnostic PCD gene panels do not include HYDIN. We have used a combined approach of SR-NGS with bioinformatic masking of HYDIN2, and state-of-the-art long-read Nanopore sequencing (LR_NGS), together with analysis of respiratory cilia including transmission electron microscopy and immunofluorescence to address the underdiagnosis of HYDIN as a cause of PCD. Bioinformatic masking of HYDIN2 after SR-NGS facilitated the detection of biallelic HYDIN variants in 15 of 437 families, but compromised the detection of copy number variants. Supplementing testing with LR-NGS detected HYDIN deletions in 2 families, where SR-NGS had detected a single heterozygous HYDIN variant. LR-NGS was also able to confirm true homozygosity in 2 families when parental testing was not possible. Utilising a combined genomic diagnostic approach, biallelic HYDIN variants were detected in 17 families from 242 genetically confirmed PCD cases, comprising 7% of our PCD cohort. This represents the largest reported HYDIN cohort to date and highlights previous underdiagnosis of HYDIN-associated PCD. Moreover this provides further evidence for the utility of LR-NGS in diagnostic testing, particularly for regions of high genomic complexity.
Predictors of severe hepatotoxicity among retroviral infected adults on HAART regimen in Ilubabor Zone, Southwest Ethiopia
Authors: Darge Tefera , Babusha Alemayehu , Chilo Dessalegn , Dukessa Abebe , Teferi Sisay 
Published: April 2024

AbstractNearly half of the deaths among hospitalized human immuno deficiency virus-infected patients in the highly active antiretroviral therapy era have been attributed to liver disease. This may range from an asymptomatic mild increase of liver enzymes to cirrhosis and liver failure. Different works of literature elucidated both retroviral infection and the adverse effects of highly active antiretroviral therapy as a cause of hepatotoxicity. Individual adaptations to medications and environmental exposures, shaped by cultural norms and genetic predispositions, could potentially modulate the risk and progression of liver disease in this population. Therefore, this study aims to assess the predictors of severe hepatotoxicity in retroviral-infected adults receiving highly active antiretroviral therapy regimens within the Ilubabor Zone, Southwest Ethiopia. A facility-based cross-sectional study was conducted among adult retroviral-infected patients in five selected anti-retro virus therapy clinics from May1 to July 30/2022. A systematic sampling technique was used to select 457 study participants and Binary logistic regression statistical data analysis was used, P value < 0.05 was considered statistically significant. The prevalence of severe hepatotoxicity was 21.44% in the study population. CD+4 count < 200 cells/mm3 (AOR = 2.19, 95% CI 1.04–5.22, P = 0.01), human immunodeficiency virus co-infection with tuberculosis (AOR = 2.82, 95% CI 1.01–8.29, P = 0.03) and human immuno deficiency virus co-infection with hepatitis-B/hepatitis C virus (AOR = 5.02, 95% CI 1.82–16.41) were predictors of severe hepatotoxicity. The magnitude of severe hepatotoxicity was high among adult retroviral-infected patients on highly active anti-retroviral drug regimens. Co-infection of human immuno deficiency virus with hepatitis B virus or hepatitis C virus, tuberculosis and CD4+T-cell count below 200 cells/mm3 were predictors of severe hepatotoxicity. Therefore, HIV patients on highly active antiretroviral therapy require close attention and regular monitoring of their liver function.
Quantitative performance assessment of Ultivue multiplex panels in formalin-fixed, paraffin-embedded human and murine tumor specimens
Authors: Ram Sripad , Mojtahedzadeh Sepideh , Aguilar Joan-Kristel , Coskran Timothy , Powell Eric L. , O’Neil Shawn P. 
Published: April 2024

AbstractWe present a rigorous validation strategy to evaluate the performance of Ultivue multiplex immunofluorescence panels. We have quantified the accuracy and precision of four different multiplex panels (three human and one mouse) in tumor specimens with varying levels of T cell density. Our results show that Ultivue panels are typically accurate wherein the relative difference in cell proportion between a multiplex image and a 1-plex image is less than 20% for a given biomarker. Ultivue panels exhibited relatively high intra-run precision (CV ≤ 25%) and relatively low inter-run precision (CV >> 25%) which can be remedied by using local intensity thresholding to gate biomarker positivity. We also evaluated the reproducibility of cell–cell distance estimates measured from multiplex images which show high intra- and inter-run precision. We introduce a new metric, multiplex labeling efficiency, which can be used to benchmark the overall fidelity of the multiplex data across multiple batch runs. Taken together our results provide a comprehensive characterization of Ultivue panels and offer practical guidelines for analyzing multiplex images.
An innovative MGM–BPNN–ARIMA model for China’s energy consumption structure forecasting from the perspective of compositional data
Authors: Suo Ruixia , Wang Qi , Tan Yuanyuan , Han Qiutong 
Published: April 2024

AbstractEffective forecasting of energy consumption structure is vital for China to reach its “dual carbon” objective. However, little attention has been paid to existing studies on the holistic nature and internal properties of energy consumption structure. Therefore, this paper incorporates the theory of compositional data into the study of energy consumption structure, which not only takes into account the specificity of the internal features of the structure, but also digs deeper into the relative information. Meanwhile, based on the minimization theory of squares of the Aitchison distance in the compositional data, a combined model based on the three single models, namely the metabolism grey model (MGM), back-propagation neural network (BPNN) model, and autoregressive integrated moving average (ARIMA) model, is structured in this paper. The forecast results of the energy consumption structure in 2023–2040 indicate that the future energy consumption structure of China will evolve towards a more diversified pattern, but the proportion of natural gas and non-fossil energy has yet to meet the policy goals set by the government. This paper not only suggests that compositional data from joint prediction models have a high applicability value in the energy sector, but also has some theoretical significance for adapting and improving the energy consumption structure in China.
Regulation of translation in response to iron deficiency in human cells
Authors: Puig-Segui Mireia S. , Decker Carolyn J. , Barlit Hanna , Labunskyy Vyacheslav M. , Parker Roy , Puig Sergi 
Published: April 2024

AbstractProtein synthesis is a highly energy-consuming process that is downregulated in response to many environmental stresses or adverse conditions. Studies in the yeast Saccharomyces cerevisiae have shown that bulk translation is inhibited during adaptation to iron deficiency, which is consistent with its requirement for ribosome biogenesis and recycling. Although iron deficiency anemia is the most common human nutritional disorder, how iron modulates translation in mammals is poorly understood. Studies during erythropoiesis have shown that iron bioavailability is coordinated with globin synthesis via bulk translation regulation. However, little is known about the control of translation during iron limitation in other tissues. Here, we investigated how iron depletion affects protein synthesis in human osteosarcoma U-2 OS cells. By adding an extracellular iron chelator, we observed that iron deficiency limits cell proliferation, induces autophagy, and decreases the global rate of protein synthesis. Analysis of specific molecular markers indicates that the inhibition of bulk translation upon iron limitation occurs through the eukaryotic initiation factor eIF2α and mechanistic target of rapamycin (mTOR) pathways. In contrast to other environmental and nutritional stresses, iron depletion does not trigger the assembly of messenger ribonucleoprotein stress granules, which typically form upon polysome disassembly.
Assessment of urban ecosystem health and its influencing factors: a case study of Zibo City, China
Authors: Wang Xiaoming , Dong Qianqian 
Published: April 2024

AbstractUrban ecosystem health is the foundation of sustainable urban development. It is important to know the health status of urban ecosystem and its influencing factors for formulating scientific urban development planning. Taking Zibo city as the study area, the indicators were selected from five aspects: ecosystem vigor, structure, resilience, service function and population health to establish an assessment index system of urban ecosystem health. The health level of urban ecosystem was assessed, and its changing trend was analyzed from 2006 to 2018 in Zibo. Furthermore, obstacle degree analysis and sensitivity analysis were used to quantitatively analyze the main obstacle factors and sensitivity factors affecting urban ecosystem health, so as to provide references for improving urban ecosystem health. The results showed that the health level of urban ecosystem in Zibo showed an upward trend from 2006 to 2018. The poor structure and ecological environment quality were the main obstacle factors to urban ecosystem health. The impact of changes in a single indicator on urban ecosystem health gradually decreased, but the sensitivity index of indicators had obvious differences. Urban ecosystem health was sensitive to changes in ecosystem structure and resilience. In the future, Zibo should strengthen ecological construction, optimize the industrial structure, and develop green economy to promote urban ecosystem healthy.
Comprehensive analysis of immunogenic cell death-related gene and construction of prediction model based on WGCNA and multiple machine learning in severe COVID-19
Authors: Li Chunyu , Wu Ke , Yang Rui , Liao Minghua , Li Jun , Zhu Qian , Zhang Jiayi , Zhang Xianming 
Published: April 2024

AbstractThe death of coronavirus disease 2019 (COVID-19) is primarily due to from critically ill patients, especially from ARDS complications caused by SARS-CoV-2. Therefore, it is essential to contribute an in-depth understanding of the pathogenesis of the disease and to identify biomarkers for predicting critically ill patients at the molecular level. Immunogenic cell death (ICD), as a specific variant of regulatory cell death driven by stress, can induce adaptive immune responses against cell death antigens in the host. Studies have confirmed that both innate and adaptive immune pathways are involved in the pathogenesis of SARS-CoV-2 infection. However, the role of ICD in the pathogenesis of severe COVID-19 has rarely been explored. In this study, we systematically evaluated the role of ICD-related genes in COVID-19. We conducted consensus clustering, immune infiltration analysis, and functional enrichment analysis based on ICD differentially expressed genes. The results showed that immune infiltration characteristics were altered in severe and non-severe COVID-19. In addition, we used multiple machine learning methods to screen for five risk genes (KLF5, NSUN7, APH1B, GRB10 and CD4), which are used to predict COVID-19 severity. Finally, we constructed a nomogram to predict the risk of severe COVID-19 based on the classification and recognition model, and validated the model with external data sets. This study provides a valuable direction for the exploration of the pathogenesis and progress of COVID-19, and helps in the early identification of severe cases of COVID-19 to reduce mortality.
The rapid synthesis of 1,10-phenanthroline-5,6-diimine (Phendiimine) and its fascinating photo-stimulated behavior
Authors: Marandi Ghasem , Hassanzadeh Ali 
Published: April 2024

AbstractHere, for the first time, we report synthesis of 1,10-phenanthroline-5,6-diimine (Phendiimine) based on an acid catalysed SN2 reaction of 1,10-phenanthroline-5,6-dione and 2-picolylamine in EtOH as a solvent. The synthesized Phendiimine molecule showed excellent photo-sensitivity against visible light, together with photoluminescence in both water and ethanol and also, it showed electrochemical activity with Fe electrode in ethanol and H2SO4 solution. Tauc plot also showed Phendiimine is a direct band-gap semiconductor. The hot-point probe test also showed that it is a n-type semiconductor. The UV–vis. absorption maximum shift in two solvents (water and ethanol) demonstrates the solvatochromism behavior of the molecule. The practical significance of this work and its guiding implication for future related research can be outlined as follows. Based on the results obtained, it appears that the Phendiimine molecule could revolutionize the medical field, potentially in the design of artificial eyes, increasing the yield of photovoltaic cells through enhanced heat transfer, improving computers and industrial photo-cooling systems, serving as photo-controller in place of piezoelectric devices, functioning as electronic opt couplers, controlling remote lasers, changing convection in photothermal heaters, designing miniaturized real photo-stimulated motors, creating photo or thermal switches through spin crossover complexes, developing electronic light-dependent resistance (LDR) devices, constructing X-ray and gamma-ray detectors, designing intelligent clothing, creating photo dynamic tumour therapy (PDT) complexes, singlet fission materials in solar cells and more.
Mcph1, mutated in primary microcephaly, is also crucial for erythropoiesis
Authors: Vial Yoann , Nardelli Jeannette , Bonnard Adeline A , Rousselot Justine , Souyri Michèle , Gressens Pierre , Cavé Hélène , Drunat Séverine 
Published: April 2024

AbstractMicrocephaly is a common feature in inherited bone marrow failure syndromes, prompting investigations into shared pathways between neurogenesis and hematopoiesis. To understand this association, we studied the role of the microcephaly gene Mcph1 in hematological development. Our research revealed that Mcph1-knockout mice exhibited congenital macrocytic anemia due to impaired terminal erythroid differentiation during fetal development. Anemia’s cause is a failure to complete cell division, evident from tetraploid erythroid progenitors with DNA content exceeding 4n. Gene expression profiling demonstrated activation of the p53 pathway in Mcph1-deficient erythroid precursors, leading to overexpression of Cdkn1a/p21, a major mediator of p53-dependent cell cycle arrest. Surprisingly, fetal brain analysis revealed hypertrophied binucleated neuroprogenitors overexpressing p21 in Mcph1-knockout mice, indicating a shared pathophysiological mechanism underlying both erythroid and neurological defects. However, inactivating p53 in Mcph1−/− mice failed to reverse anemia and microcephaly, suggesting that p53 activation in Mcph1-deficient cells resulted from their proliferation defect rather than causing it. These findings shed new light on Mcph1’s function in fetal hematopoietic development, emphasizing the impact of disrupted cell division on neurogenesis and erythropoiesis — a common limiting pathway.
Die Kodierung chronischer Schmerzen in der ICD-11
Authors: Barke Antonia , Korwisi Beatrice 
Published: April 2024

ZUSAMMENFASSUNGMit der 11. Revision enthält die Internationale Klassifikation der Krankheiten und verwandter Gesundheitsprobleme (ICD-11) erstmalig ein eigenes Kapitel, in dem Diagnosen chronischer Schmerzen systematisiert sind. Chronische Schmerzen sind Schmerzen, die mehr als 3 Monate andauern oder wiederkehren. Alle Diagnosen in diesem Kapitel sind einheitlich als biopsychosozial konzipiert. Die Klassifikation enthält 7 Hauptkategorien. Eine dieser Kategorien enthält chronische primäre Schmerzen. Bei chronischen primären Schmerzen werden die Schmerzen selbst als eine eigenständige Krankheit aufgefasst. 6 Kategorien chronischer sekundärer Schmerzen bilden Schmerzen ab, die Symptom einer anderen Erkrankung sind. Zu den chronischen sekundären Schmerzen zählen chronische Schmerzen durch eine Krebserkrankung oder -behandlung, chronische Schmerzen nach Operationen oder Unfällen, chronische neuropathische Schmerzen und chronische sekundäre Kopfschmerzen und orofaziale, viszerale und muskuloskelettale Schmerzen. Für chronische primäre und sekundäre Schmerzen stehen optionale Zusatzcodes zur Erfassung behandlungsrelevanter schmerzbezogener Parameter zur Verfügung.
Analyse zur Datenqualität/-vollständigkeit bei COVID-19-Fällen: Warum
eine digitale integrierte Datenerfassung auch zur Pandemiebekämpfung notwendig
ist
Authors: Lampl Benedikt MJ , Edenharter Bernhard , Leitzmann Michael , Salzberger Bernd 
Published: April 2024

Zusammenfassung
Hintergrund Verfügbare epidemiologische Daten zur Corona-Pandemie in
Deutschland haben im internationalen Vergleich in Bezug auf klinische
Auswirkungen und Impfstoffeffektivität eine geringe Aussagekraft.
Methoden Wir untersuchten in dieser retrospektiven Beobachtungsstudie
exemplarisch die Vollständigkeit ausgewählter eigener in der Pandemie erhobener
Daten. Hierfür wurden Angaben zu den wichtigen Parametern Hospitalisierung,
Impfstatus und Risikofaktoren für schweren Verlauf und Tod aus unterschiedlichen
Perioden herangezogen und deskriptiv ausgewertet. Die Daten werden im
erweiterten Kontext geforderter digitaler Strategien in Deutschland
diskutiert.
Ergebnisse Es wurden für den Zeitraum 01.01.2022 bis 30.06.2022 126.920
Meldevorgänge unter der Erkrankung COVID-19 gefunden. Bei den Daten zur
Hospitalisierung enthielten 19.749 Vorgänge die Angabe „Nein“, 1.990 Vorgänge
„Ja“ und 105.181 Vorgänge (83+%) die Angaben „nicht erhoben“ oder „nicht
ermittelbar“. Auch bei den Angaben zu Impfungen fanden sich nur in einem
geringen Prozentsatz Informationen zu Impfstoff (11,1+%), Anzahl der Impfungen
(4,4+%) und Datum der letzten Impfung (2,1+%). Die Vollständigkeit von Angaben
zu Vorerkrankungen bei COVID-19-bezogenen Todesfällen nahm im Verlauf von vier
aufeinanderfolgenden Perioden zwischen 2020 und 2022 mit zunehmendem
Fallaufkommen ab.
Schlussfolgerung Künftige Strategien müssen unter dem Aspekt der
Aussagekraft und Datenvollständigkeit zeitgemäße technische Lösungen mit
zentraler Datenerfassung zu Infektionsfällen beinhalten, ohne das Prinzip des
Datenschutzes zu gefährden.
Herzinsuffizienz – Behandlung mit Vitalstoffen
Authors: Schmidt Nathalie , Schmidt Edmund 
Published: April 2024

ZusammenfassungLange Zeit galt eine Herzinsuffizienz als nicht heilbar. Inzwischen zeigen
verschiedene Studien die Wirksamkeit von Mikronährstoffen wie Coenzym Q10 und
α-Liponsäure zur Behandlung. Beide Wirkstoffe spielen eine wichtige Rolle im
Energiestoffwechsel. Bei entsprechender Therapie kann eine Lebensverlängerung
erreicht werden, das Risiko an einer Herz-Kreislauf-Erkrankung zu versterben,
sinkt deutlich. Eine optimale Versorgung mit Vitalstoffen kann die kardiale
Situation verbessern und die Lebensqualität von Patienten steigern.
Neoadjuvant immunotherapy in a locally advanced colon cancer patient with MSI-H and suspected Lynch syndrome: A case report
Authors: Li Xiaoyun , Xiang Yining , Zhen Yunhuan , Yu Yong 
Published: April 2024

AbstractCarrilizumab, a PD-1 inhibitor, has shown therapeutic effectiveness in patients with late-stage or metastatic solid tumors exhibiting DNA mismatch repair deficiency (dMMR) or microsatellite instability-high (MSI-H). dMMR/MSI-H cancer patients are known to be responsive to PD-1 inhibitors. However, the use of carrilizumab for preoperative immunotherapy in early, unresectable MSI-H/dMMR primary colon cancer lesions is relatively underexplored. We present the case of a 46-year-old male who sought medical attention at our institution due to a history of hematochezia for two weeks, right-sided abdominal pain for one week, and loose stools. Imaging indicated duodenal involvement, and a biopsy confirmed ascending colon adenocarcinoma with MSI-H status. Given that the patient’s family exhibited a history of more than three confirmed cases of colorectal cancer spanning two generations, Lynch syndrome was considered. After four cycles of PD-1 antagonist immunotherapy with carrilizumab, the patient’s symptoms resolved, and physical examination revealed no abdominal tenderness or palpable masses. Following radical colectomy, the primary tumor exhibited a pathological complete response. This case highlights the potential of preoperative neoadjuvant immunotherapy to improve staging accuracy and increase surgical resection rates in T4b MSI-H colon cancer patients without distant metastasis, suggesting a need for reconsideration of the treatment approach.