bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spatial and temporal dynamics of ATP synthase from mitochondria toward the cell surface
Authors: Chang Yi-Wen , Tony Yang T. , Chen Min-Chun , Liaw Y-geh , Yin Chieh-Fan , Lin-Yan Xiu-Qi , Huang Ting-Yu , Hou Jen-Tzu , Hung Yi-Hsuan , Hsu Chia-Lang , Huang Hsuan-Cheng , Juan Hsueh-Fen 
Published: April 2023

AbstractEctopic ATP synthase complex (eATP synthase), located on cancer cell surface, has been reported to possess catalytic activity that facilitates the generation of ATP in the extracellular environment to establish a suitable microenvironment and to be a potential target for cancer therapy. However, the mechanism of intracellular ATP synthase complex transport remains unclear. Using a combination of spatial proteomics, interaction proteomics, and transcriptomics analyses, we find ATP synthase complex is first assembled in the mitochondria and subsequently delivered to the cell surface along the microtubule via the interplay of dynamin-related protein 1 (DRP1) and kinesin family member 5B (KIF5B). We further demonstrate that the mitochondrial membrane fuses to the plasma membrane in turn to anchor ATP syntheses on the cell surface using super-resolution imaging and real-time fusion assay in live cells. Our results provide a blueprint of eATP synthase trafficking and contribute to the understanding of the dynamics of tumor progression.
A framework to assess multi-hazard physical climate risk for power generation projects from publicly-accessible sources
Authors: Luo Tianyi , Cheng Yan , Falzon James , Kölbel Julian , Zhou Lihuan , Wu Yili , Habchi Amir 
Published: April 2023

AbstractDemand for information about physical climate risk is growing, particularly for the power generation sector, given its size and pronounced exposure to climate hazards. However, quantifying physical climate risks for a large number of assets remains challenging. Here we introduce a scalable and transparent methodology that enables multi-hazard physical climate risk assessments for any thermal or hydro power generation project. The methodology relies on basic power plant type and geolocation data inputs, publicly-available climate datasets, and hazard- and technology-specific vulnerability factors, to translate hazard severity into generation losses. We apply the methodology to the European Bank for Reconstruction and Development’s early 2021 thermal and hydro power generation portfolios of 80 assets. We show that under the Representative Concentration Pathway 4.5 scenario, those 80 power plants could experience a 4.0-10.9 TWh loss in annual generation (or 1.87-5.07% of total annual maximum generation) by 2030 compared to its baseline losses of 0.70–0.87 TWh (or 0.33–0.41%). One of the largest drivers of the increased risk is rising water temperatures, which is currently overlooked by mainstream climate risk disclosure guidelines.
Electricity supply chain hybrid long‐term demand forecasting approach based on deep learning—a case study of basic metals industry
Authors: Moalem Sepehr , Ahari Roya M. P. , Shahgholian Ghazanfar , Moazzami Majid , Kazemi Seyed Mohammad 
Published: April 2023

AbstractDemand forecasting is a key parameter to achieve optimal supply chain management at different levels. The basic metals industry is one of the most energy‐intensive industries in the electricity supply chain. The impossibility of large‐scale energy storage, reservation constraints, and its high costs, limitations on electricity transmission lines capacity, real‐time response to high priority strategic demands, and variety of energy rates at different hours and seasons are issues that challenge the electricity supply chain. A hybrid approach is presented in this paper to improve the accuracy of long‐term demand forecasting in the electricity supply chain. The proposed approach uses wavelet decomposition and long short‐term memory (LSTM) neural networks to produce new predictors for demand forecasting in case of defective data. The data used in this study consists of the recorded hourly demand of Espidan Iron Stone (EIS) company and data of Mobarakeh Steel (MS) company in Isfahan Province. The understudy time series includes a lot of interruptions due to non‐production of the factory or power outages and spikes which cause uncertainty that makes the forecasting more difficult in comparison with continuous time series. Multiple machine learning models including decision trees (DTs), boosted and bagged trees (BGTs), support vector regression (SVR) models, extreme learning machines (ELMs), and a LSTM neural network model are employed to evaluate the effectiveness of the proposed approach in this paper. A comparison of the results obtained using the hybrid proposed approach and training machine learning (ML) methods shows a notable reduction in forecasting error.
Validierung des deutschsprachigen Menière’s Disease Patient-Oriented Symptom Severity Index
Authors: Plath Michaela , Sand Matthias , Appel Maximilian , Euteneuer Sara , Praetorius Mark , Baumann Ingo , Zaoui Karim 
Published: April 2023

Zusammenfassung
Hintergrund Der Menière’s Disease Patient-Oriented Symptom
Severity Index (MD POSI), Version 2, ist ein krankheitsspezifischer Fragebogen zur Erhebung
der gesundheitsbezogenen Lebensqualität bei Patienten mit Morbus Menière (MM).
Ziel der Arbeit Validierung und Reliabilitätsprüfung der
deutschen Übersetzung des MD POSI.
Material und Methoden Prospektive Datenanalyse eines an Schwindel
erkrankten Patientenkollektivs (n=162), welches im Zeitraum von 2005–2019 in der Hals-, Nasen-
und Ohrenklinik eines Universitätsklinikums behandelt wurde. Es erfolgte eine klinische
Selektion gemäß der neuen Bárány-Klassifikation in einen „definitiven“ und „wahrscheinlichen“
Morbus Menière. Die Lebensqualität wurde mittels der deutschen Übersetzung des MD POSI, der
Vertigo Symptom Scale (VSS) und der Short Form-36 (SF-36) untersucht. Die Reliabilität wurde
mittels Cronbachs α und Test-Retesting nach 12 Monaten und erneut 14 Tage später überprüft. Es
wurde die Inhalts- und Übereinstimmungsvalidität untersucht.
Ergebnisse Cronbach-α-Werte über 0,9 wiesen auf eine gute interne
Konsistenz hin. Es gab keinen statistisch signifikanten Unterschied von Baseline bis 12
Monate, mit Ausnahme des Subscores, der die Beschwerden während der Attacke misst. Es zeigten
sich signifikant positive Korrelationen zwischen dem VSS-Gesamt/VER/AA und dem Gesamtindex des
MD POSI und negativ signifikante Korrelationen mit den SF-36-Domänen körperliche
Funktionsfähigkeit, körperliche Rollenfunktion, soziale Funktionsfähigkeit, emotionale
Rollenfunktion und psychisches Wohlbefinden. Zusätzlich ergaben sich geringe SRM (standardized
response mean) -Werte unter 0,5.
Schlussfolgerung Die deutsche Übersetzung des MD POSI ist ein
valides und zuverlässiges Instrument, um den Einfluss von MM auf die krankheitsbezogene
Lebensqualität von Patienten zu beurteilen.
Artificial Intelligence in Quantitative Chest Imaging Analysis for Occupational Lung Disease
Authors: Suganuma Narufumi , Yoshida Shinichi , Takeuchi Yuma , Nomura Yoshua K. , Suzuki Kazuhiro 
Published: April 2023

AbstractOccupational lung disease manifests complex radiologic findings which have long been a challenge for computer-assisted diagnosis (CAD). This journey started in the 1970s when texture analysis was developed and applied to diffuse lung disease. Pneumoconiosis appears on radiography as a combination of small opacities, large opacities, and pleural shadows. The International Labor Organization International Classification of Radiograph of Pneumoconioses has been the main tool used to describe pneumoconioses and is an ideal system that can be adapted for CAD using artificial intelligence (AI). AI includes machine learning which utilizes deep learning or an artificial neural network. This in turn includes a convolutional neural network. The tasks of CAD are systematically described as classification, detection, and segmentation of the target lesions. Alex-net, VGG16, and U-Net are among the most common algorithms used in the development of systems for the diagnosis of diffuse lung disease, including occupational lung disease. We describe the long journey in the pursuit of CAD of pneumoconioses including our recent proposal of a new expert system.
Terminal Withdrawal of Mechanical Ventilation in a PICU
Authors: Baird J. Scott , Piracha Natasha Z. , Lindeman Max E. 
Published: April 2023

AbstractData regarding a terminal withdrawal of mechanical ventilation (TWMV) in pediatric patients, in particular the time to death, would be helpful to family and hospital staff. This retrospective case series will review the TWMV in pediatric intensive care unit (PICU) patients at our hospital between 2015 and 2020. There were 222 PICU deaths and 53 of these patients died following a TWMV. The time to death was <1 hour in 37 patients, from 1 to 24 hours in 12 patients, and >24 hours in 4 patients. Neither age nor the duration of mechanical ventilation prior to TWMV was associated with time to death. TWMV was complicated by concurrent withdrawal of cardiac support devices in 9 patients and by a recent cardiac arrest in 3 patients (1 of whom also had a cardiac support device withdrawal), and the time to death for these 11 patients was less than 1 hour (p = 0.01 vs. all others). The time to death for those without concurrent withdrawal of cardiac support devices or recent cardiac arrest was shorter in those with a higher fraction of inspired oxygen but was not associated with positive end expiratory pressure. Time to death following a TWMV was less than a day in more than 90% of our patients and was not associated with patient age or the duration of mechanical ventilation. However, in patients without a recent cardiac arrest or concurrent withdrawal of cardiac support devices, nearly 1 in 10 survived a TWMV for more than a day, while those with a recent cardiac arrest or concurrent withdrawal of cardiac support devices survived for less than an hour.
Clinicopathological, Immunological, and Laboratory Parameters of Childhood Lupus Nephritis: A Study from Northeast India
Authors: Das Jonali , Kalita Pranjal , Dey Biswajit , Raphael Vandana , Mishra Jaya , Khonglah Yookarin , Marbaniang Evarisalin , Handique Gauranga , Saurabh Animesh 
Published: April 2023

Abstract
Background Lupus nephrtis in children is associated with high morbidity and mortality. The incidence of childhood systemic lupus erythematosus (SLE) ranges from 3.3 to 8.8/100000 children with a higher Asian preponderance. The predominance of SLE in female pediatric patients increases gradually with age to the values observed in adults.
Objectives To assess the clinical, immunological, and histopathological spectrum of childhood lupus nephritis in northeast India and explore the relationship between clinical, biochemical, serological, and histopathological findings.
Materials and Methods A retrospective descriptive study was performed over 8 years. Histopathology slides were reviewed by two pathologists, whereas other details were collected from patients' records.
Statistical Analysis Statistical analysis was based on the chi-square test and a p-value < 0.05 was considered statistically significant.
Results Fifty-three cases of lupus nephritis were included in the study. The patients' age ranged from 5 to 18 years with a mean age of 14.5 years and a female: male ratio of 6.5:1. Edema and hypertension were the commonest clinical presentations, whereas proteinuria was the commonest presenting laboratory parameter. Amongst all the immunological markers, dsDNA was the commonest. Histopathologically, predominantly study population belonged to class IV lupus nephritis. The patients with class IV showed a statistically significant correlation with proteinuria and hematuria at the time of diagnosis. Immunological markers, namely, ANA and anti-ds-DNA positivity were significantly associated with advanced renal histopathology.
Conclusion cSLE in northeast India presents mostly as Class IV LN presenting mostly with deranged laboratory parameters and preponderance of various immunological markers and clinical presentations.
Clinical Experience from a Single Tertiary Care Center: Neonatal Diabetes Mellitus with Multiple Epiphyseal Dysplasia—Wolcott–Rallison's Syndrome
Authors: J. Shantala , Upadhyay Zalak , N. Vani H. , Sathyanarayana Santhosh Olety , Palany Raghupathy , J. Shruthi 
Published: April 2023

AbstractWolcott–Rallison's syndrome (WRS) is a rare nonautoimmune autosomal recessive disorder characterized by neonatal diabetes mellitus, epiphyseal dysplasia, and growth retardation. This is the most common cause of diabetes mellitus in patients with consanguineous parents. WRS is distinguished from other types of neonatal or early-onset diabetes by clinical characteristics and genetic testing. Here, we report four cases of WRS from South India. All four children reported here were born to consanguineous parents and were diagnosed with neonatal diabetes and skeletal dysplasia. Case 1 is a 13-year-old girl with neonatal diabetes and skeletal dysplasia. Case 2 is a 6-month-old male infant who also has primary hypothyroidism. Case 3 was a girl who lived until the age of 4 years before succumbing to liver failure. Case 4 is an 8-month-old female infant born to a third-degree married couple who presented with neonatal diabetes and diabetic ketoacidosis. Genetic testing revealed that she had WRS, which helps us in the anticipation and early treatment of complications.
Higher Dosage of Acetaminophen Associated with Lower Risk of Acute Kidney Injury after Pediatric Cardiac Surgery
Authors: Nater Melissa , Wong Joshua , Ikeda Nobuyuki , Heenan Brian , Loomba Rohit S. , Penk Jamie 
Published: April 2023

AbstractAcute kidney injury (AKI) after pediatric cardiac surgery is manifested by injury along multiple pathways. One of these is oxidative injury related to hemolysis and subsequent deposition of hemoglobin in the kidney. Acetaminophen inhibits hemoprotein-catalyzed lipid peroxidation associated with hemolysis and in turn, may attenuate renal injury. We performed a retrospective chart review of patients undergoing pediatric cardiac surgery. A randomized controlled trial previously performed dictated a regimented, high dosage, acetaminophen. A historical cohort who received ad hoc acetaminophen prior to that study and that met the same inclusion/exclusion criteria were also analyzed, as patients from that era were likely to have less acetaminophen administered. The patients were divided into those who developed AKI and those who did not and those groups were compared by total acetaminophen dose. Important inclusion criteria included age 3 months to 4 years who underwent cardiac surgery via midline sternotomy and were extubated within 3 hours of admission. Patients with preexisting or chronic kidney disease were excluded. A total of 181 patients were included. Of these, 69 (38%) developed AKI. There were no significant pre- or intraoperative risk differences in characteristics between those who developed AKI and those who did not. Acetaminophen dose did significantly differ between those who developed AKI and those who did not with lower acetaminophen dose in the AKI group (30 vs. 50 mg/kg, p-value = 0.01). A multivariate analysis was performed which found that higher acetaminophen dosage and lower immediate postoperative hemoglobin were independently associated with a lower risk of AKI. AKI occurs in ∼38% after pediatric cardiac surgery. Most often this is stage 1 AKI and resolves after a day. After adjusting for other covariables, higher acetaminophen dose may be associated with lower risk of AKI. This does not prove that acetaminophen given prospectively will reduce AKI. Further studies are needed.
IXPE detection of polarized X-rays from magnetars and photon mode conversion at QED vacuum resonance
Authors: Lai Dong 
Published: April 2023

The recent observations of the anomalous X-ray pulsars 4U 0142+61 and 1RXS J170849.0-400910 by the Imaging X-ray Polarimetry Explorer (IXPE) opened up a new avenue to study magnetars, neutron stars endowed with superstrong magnetic fields (
B
≳ 10
14
G). The detected polarized X-rays from 4U 0142+61 exhibit a 90° linear polarization swing from low photon energies (
E
≲ 4 keV) to high energies (
E
≳ 5.5 keV). We show that this swing can be explained by photon polarization mode conversion at the vacuum resonance in the magnetar atmosphere; the resonance arises from the combined effects of plasma-induced birefringence and Quantum electrodynamics (QED)-induced vacuum birefringence in strong magnetic fields. This explanation suggests that the atmosphere of 4U 0142 is composed of partially ionized heavy elements and that the surface magnetic field is comparable to or less than 10
14
G, consistent with the dipole field inferred from the measured spindown. It also implies that the spin axis of 4U 0142+61 is aligned with its velocity direction. The polarized X-rays from 1RXS J170849.0-400910 do not show such 90° swing, consistent with magnetar atmospheric emission with
B
≳ 5 × 10
14
G.
Neurophysiological evidence for the first mention effect during pronominal reference resolution in German Sign Language
Authors: Wienholz Anne , Nuhbalaoglu-Ayan Derya , Mani Nivedita , Herrmann Annika , Onea Edgar , Steinbach Markus 
Published: April 2023

AbstractAnaphoric pronoun resolution in spoken language has been shown to be influenced by the first mention bias. While this bias has been well investigated in spoken languages, less is known about a similar bias in sign languages. In sign languages, pronominal pointing signs (index) are directed towards referential locations in the signing space typically associated with discourse referents. In German Sign Language (DGS), signers follow an ipsi-contralateral default pattern while tracking referents, i.e., the first referent is associated with the ipsilateral and the second referent with the contralateral area of the signing space. Hence, directing a pronoun to either the ipsi- or the contralateral side of the signing space refers to either the first or the second discourse referent. The present event-related potential study reanalyzes the data fromWienholz et al. (2018)and examines the first mention effect during pronoun resolution in ambiguous contexts in DGS. The original study presented participants with sentence sets containing two referents without overt localization in the first and a sentence-initial pronominalindexsign in the second sentence directed to either the ipsilateral or contralateral side of the signing space. Based on the direction of theindexsign, our analysis reveals an N400 for contralateralindexsigns suggesting increased processing costs triggered by a violation of the first mention effect. Thus, the current study provides first experimental evidence for a first mention effect in DGS and highlights the modality-independent nature of this effect.
Highlighting gaps in puppy research using Bronfenbrenner’s bioecological theory of human development
Authors: Costa Ana Goncalves , Nielsen Torben , Christley Robert , Hazel Susan 
Published: April 2023

Abstract
The use of an ecological model in puppy development research can help to capture the real-world complexity of development factors and outcomes. Using a modified version of Bronfenbrenner’s bioecological model, we explored the real-world experiences of 20 Australian adults who had acquired and were subsequently raising a puppy in their home for companionship purposes. Our participants’ experiences offered insights into several gaps in the current literature and potential opportunities for future research. These insights included: (1) researchers should be wary of viewing a puppy’s household as uniform, or static. Each individual within a household provides unique interactions and development opportunities and therefore cannot be a reliable representative of the household at large; (2) knowledge is unlikely to be uni-directional, or deriving from only a single source, even in environments such as puppy classes. How knowledge is transferred, trusted, interpreted, and applied is likely affected by the individual’s own ecological system (such as biases), as well as the characteristics of the relationship between the individuals involved; and (3) puppies both are affected by, and have an effect on, those around them. The arrival of a puppy into a household is likely to change the existing dynamics of that household. These changes may be positive or negative in nature, or both simultaneously. Further research into these findings may help researchers better understand the complex nature of puppy development.
Heating in multi-layer targets at ultra-high intensity laser irradiation and the impact of density oscillation
Authors: Paschke-Bruehl F , Banjafar M , Garten M , Huang L G , Marré B E , Nakatsutsumi M , Randolph L , Cowan T E , Schramm U , Kluge T 
Published: April 2023

Abstract
We present a computational study of isochoric heating in multi-layered (ML) targets at ultra-high intensity laser irradiation (

∼

10

20

W
c
m

−
2

). Previous studies have shown enhanced ion heating at interfaces, but at the cost of large temperature gradients. Here, we study ML targets to spread this enhanced interface heating to the entirety of the target and find heating parameters at which the temperature distribution is more homogeneous than at a single interface while still exceeding the mean temperature of a non-layered target. Further, we identify a limiting process of pressure oscillations that causes the layers to alternate between expanding and being compressed and leads to lower ion temperatures. Based on that, we derive an analytical model estimating the oscillation period to find target conditions that optimize heating and temperature homogeneity. This model can also be used to infer the electron energy from the oscillation period which can be measured e.g. by XFEL probing.
Neutron yield scaling law in laser-cluster fusion experiments
Authors: Won Junho , Song Jaehyun , Lee Seongmin , Song Chiwan , Bang Woosuk 
Published: April 2023

Abstract
We present a scaling law (

Y
∼

E
β

) of fusion neutron yields (Y) for laser pulse energy (E) in laser-cluster fusion experiments. We compare the available neutron yield data from previous deuterium cluster fusion experiments with those calculated using the cylindrical fusion plasma model. The calculated neutron yields are shown as functions of the incident laser pulse energy, average number density, and ion temperature. Although the deuterium–deuterium fusion reactivity is known to increase rapidly with ion temperature, the neutron yield shows a modest increase above ∼10 keV for a given laser pulse energy. We find the scaling exponent β approaching 1.0 as the ion temperature increases from 1 keV to 100 keV. We explain the observed temperature dependence of β by examining the temperature dependence of the beam–beam and beam–target fusion neutron yields separately. Our scaling law differs from previously reported scaling laws from individual experiments, but it shows an excellent agreement with the scaling law determined by the maximum neutron yields of individual experiments.