bluuebunny/crossref_metadata_2025_split huggingface dataset:
AePUb promoter length modulates gene expression in Aedes aegypti
Authors: Anderson Michelle A. E. , Leftwich Philip T. , Wilson Ray , Paladino Leonela Z. Carabajal , Basu Sanjay , Rooney Sara , Adelman Zach N. , Alphey Luke 
Published: November 2023

AbstractMolecular tools for modulating transgene expression in Aedes aegypti are few. Here we demonstrate that adjustments to the AePUb promoter length can alter expression levels of two reporter proteins in Ae. aegypti cell culture and in mosquitoes. This provides a simple means for increasing or decreasing expression of a gene of interest and easy translation from cells to whole insects.
Comparative analysis of four nutritional scores predicting the incidence of MACE in older adults with acute coronary syndromes after PCI
Authors: Zhu Xing-Yu , Yang Dan-Dan , Zhang Kai-Jie , Zhu Hui-Jing , Su Fei-Fei , Tian Jian-Wei 
Published: November 2023

AbstractTo determine the most appropriate nutritional assessment tool for predicting the occurrence of major adverse cardiovascular events (MACE) within 1 year in elderly ACS patients undergoing PCI from four nutritional assessment tools including PNI, GNRI, CONUT, and BMI. Consecutive cases diagnosed with acute coronary syndrome (ACS) and underwent percutaneous coronary intervention (PCI) in the Department of Cardiovascular Medicine of the Air force characteristic medical center from 1 January 2020 to 1 April 2022 were retrospectively collected. The basic clinical characteristics and relevant test and examination indexes were collected uniformly, and the cases were divided into the MACE group (174 cases) and the non-MACE group (372 cases) according to whether a major adverse cardiovascular event (MACE) had occurred within 1 year. Predictive models were constructed to assess the nutritional status of patients with the Prognostic Nutritional Index (PNI), Geriatric Nutritional Risk Index (GNRI), Controlling nutritional status (CONUT) scores, and Body Mass Index (BMI), respectively, and to analyze their relationship with prognosis. The incremental value of the four nutritional assessment tools in predicting risk was compared using the Integrated Discriminant Improvement (IDI) and the net reclassification improvement (NRI). The predictive effect of each model on the occurrence of major adverse cardiovascular events (MACE) within 1 year in elderly ACS patients undergoing PCI was assessed using area under the ROC curve (AUC), calibration curves, decision analysis curves, and clinical impact curves; comparative analyses were performed. Among the four nutritional assessment tools, the area under the curve (AUC) was significantly higher for the PNI (AUC: 0.798, 95%CI 0.755–0.840 P < 0.001) and GNRI (AUC: 0.760, 95%CI 0.715–0.804 P < 0.001) than for the CONUT (AUC: 0.719,95%CI 0.673–0.765 P < 0.001) and BMI (AUC: 0.576, 95%CI 0.522–0.630 P < 0.001). The positive predictive value (PPV) of PNI: 67.67% was better than GNRI, CONUT, and BMI, and the negative predictive value (NPV): of 83.90% was better than CONUT and BMI and similar to the NPV of GNRI. The PNI, GNRI, and CONUT were compared with BMI, respectively. The PNI had the most significant improvement in the Integrated Discriminant Improvement Index (IDI) (IDI: 0.1732, P < 0.001); the PNI also had the most significant improvement in the Net Reclassification Index (NRI) (NRI: 0.8185, P < 0.001). In addition, of the four nutritional assessment tools used in this study, the PNI was more appropriate for predicting the occurrence of major adverse cardiovascular events (MACE) within 1 year in elderly ACS patients undergoing PCI.
Comparison of the effectiveness of integrative immunomodulatory treatments and conventional therapies on the survival of selected gastrointestinal cancer patients
Authors: Kleef Ralf , Dank Magdolna , Herold Magdolna , Agoston Emese Irma , Lohinszky Julia , Martinek Emoke , Herold Zoltan , Szasz Attila Marcell 
Published: November 2023

AbstractIn the last decade, the use of immunomodulating treatments (IMT) at integrative oncology providers (IOP) increased. IMTs are used to modulate the tumor microenvironment, which might lead to increased response-to-treatment, and the indication of immune checkpoint inhibitors might also be widened. The efficacy and safety of IMTs in advanced/metastatic gastrointestinal cancers were compared with conventional chemo(radio)therapy (CT). 21 colorectal– (CRC), 14 pancreatic– (PC), 5 cholangiocellular– (CCC), 5 gastric– (GC) and 4 esophageal cancer (EC) patients received IMT. IMT and CT were compared in CRC and PC. CT was administered at an academic oncology center. After the initiation of IMT, a median survival of ~ 20 (CRC, PC and EC) and ~ 10 months (CCC and GC) was observed. Of the IMTs, locoregional modulated electro-hyperthermia had the most positive effect on overall survival (HR: 0.3055; P = 0.0260), while fever-inducing interleukin-2, and low-dose ipilimumab showed a positive tendency. IMT was superior to CT in PC (HR: 0.1974; P = 0.0013), while modest effect was detected in CRC (HR: 0.7797; P = 0.4710). When the whole study population was analyzed, IMTs showed minimal effect on patient survival, still CT had the greatest effect if introduced as early as possible (HR: 0.0624; P < 0.0001). The integrative IMTs in the presented form have mild impact on gastrointestinal cancer patients’ survival, however, we observed its benefit in PC, which warrants further investigations.
Genotyping and phylogenetic analysis of Coxiella burnetii in domestic ruminant and clinical samples in Iran: insights into Q fever epidemiology
Authors: Mohabati Mobarez Ashraf , Baseri Neda , Khalili Mohammad , Mostafavi Ehsan , Esmaeili Saber 
Published: November 2023

AbstractCoxiella burnetii, a zoonotic pathogen, is the causative agent of Q fever, an endemic disease in Iran. However, there is currently a lack of available data on the genotypes of C. burnetii in the country. Here, we typed 26 C. burnetii isolates detected in milk, abortion, cotylodon, and cardiac valve samples from various geographical areas and hosts (7 cattle, 8 goats, 10 sheep, and 1 human) using Multilocus Variable Number Tandem Repeat Analysis (MLVA/VNTR) with five loci:ms24, ms27, ms28, ms33, and ms34. As IS1111 was observed to be spontaneously inserted in locus ms23 across all of our examined C. burnetii samples, five loci were employed for MLVA/VNTR genotyping. Among the 26 C. burnetii strains, 22 distinct genotypes (A–V) were identified in the discriminative loci. In silico analysis categorized Iranian C. burnetii strains into five genomic groups along with seven singletons, representing 11 exiting clonal complexes worldwide. Clusters 10 and 11 exclusively consisted of Iranian samples. These findings revealed high genotyping diversity among C. burnetii isolates in Iran. The genotypes circulating in Iran differed significantly from those found in other regions worldwide. To gain a comprehensive understanding of Q fever epidemiology in Iran, it is crucial to conduct large-scale studies that assess the distribution of C. burnetii genotypes across different geographical areas, hosts, and sources.
Applying a Developmental Model to Preliterate Aided Language Learning
Authors: Binger Cathy , Harrington Nancy , Kent-Walsh Jennifer 
Published: November 2023

Purpose:Childhood spoken language interventions and augmentative and alternative communication (AAC) interventions share a common purpose: maximizing communication and language outcomes. To ensure that interventions for children who require AAC also address expressive language acquisition, this clinical focus article focuses on how to apply a developmental model of language acquisition to guide AAC decision making for preliterate aided communicators, with a particular focus on vocabulary selection.Method:A brief review of early expressive language development is presented, along with arguments for why relying on a developmental model to guide AAC decision making is so critical. A series of detailed examples of how to apply a developmental model to various AAC vocabulary selection approaches are provided, including analyses of how well each approach aligns with pragmatic, semantic, grammatical, and narrative development.Conclusions:No single AAC approach for preliterate AAC language learners adequately addresses both immediate and longer-term expressive language needs; every approach has both strengths and weaknesses. Clinical decision making requires an analysis of each approach to ensure that AAC service delivery teams clearly understand the inevitable linguistic gaps, with plans put into place to fill in those gaps with different approaches. Future efforts to improve preliterate AAC service provision should use a developmental model of language as a starting point, in combination with input from families, educators, and clinicians to ensure the feasibility of the chosen approaches.
The Impact of Stimulus Length in Tongue and Lip Movement Pattern Stability in Amyotrophic Lateral Sclerosis
Authors: Teplansky Kristin J. , Wisler Alan , Goffman Lisa , Wang Jun 
Published: November 2023

Purpose:
This study aimed to investigate the effect of stimulus signal length on tongue and lip motion pattern stability in speakers diagnosed with amyotrophic lateral sclerosis (ALS) compared to healthy controls.

Method:

Electromagnetic articulography was used to derive articulatory motion patterns from individuals with mild (
n
= 27) and severe (
n
= 16) ALS and healthy controls (
n
= 25). The spatiotemporal index (STI) was used as a measure of articulatory stability. Two experiments were conducted to evaluate signal length effects on the STI: (a) the effect of the number of syllables on STI values and (b) increasing lengths of subcomponents of a single phrase. Two-way mixed analyses of variance were conducted to assess the effects of syllable length and group on the STI for the tongue tip (TT), tongue back (TB), and lower lip (LL).

Results:

Experiment 1 showed a significant main effect of syllable length (TT,
p
< .001; TB,
p
< .001; and LL,
p
< .001) and group (TT,
p
= .037; TB,
p
= .007; and LL,
p
= .017). TB and LL stability was generally higher with speech stimuli that included a greater number of syllables. Articulatory variability was significantly higher in speakers diagnosed with ALS compared to healthy controls. Experiment 2 showed a significant main effect of length (TT,
p
< .001; TB,
p
= .015; and LL,
p
< .001), providing additional support that STI values tend to be greater when calculated on longer speech signals.

Conclusions:
Articulatory stability is influenced by the length of speech signals and manifests similarly in both healthy speakers and persons with ALS. TT stability may be significantly impacted by phonemic content due to greater movement flexibility. Compared to healthy controls, there was an increase in articulatory variability in those with ALS, which likely reflects deviations in speech motor control.

Supplemental Material:

https://doi.org/10.23641/asha.24463924
Design of an intelligent transformer oil sampling system
Authors: Pei Shaotong , Sun Haichao 
Published: November 2023

AbstractIn response to the transformer oil sampling requirements within substations, this paper presents the design and development of a highly intelligent transformer oil sampling system. The robot employs a tracked mobile chassis and a gantry robotic arm, offering high mobility stability and operational reliability. The system effectively conducted oil sampling operations in an extra‐high voltage substation, obtaining valuable oil samples that validate the structural and functional reliability of the system, as well as its stability in complex working environments. This research provides a promising solution for transformer maintenance and health monitoring, with the potential to play a significant role in power equipment maintenance.
Enhanced robust diagnosis of multiple‐type demagnetisation fault for permanent magnet synchronous motor based on D‐axis magnetic network model using magnetic field reconstruction
Authors: He Wang , Hang Jun , Ding Shichuan 
Published: November 2023

AbstractDemagnetisation fault (DF) is a common rotor fault in the permanent magnet synchronous motor (PMSM). DF can cause obvious changes in the magnetic field of PMSMs. As a result, previous DF diagnosis methods mainly depends on magnetic field analysis. However, conventional analysis methods based on the magnetic potential‐permeability method, sub‐domain method and magnetic equivalent circuit method are not suitable for DF condition. In addition, DF diagnosis is further complicated by various operating conditions. To address these issues, a robust DF diagnosis method is proposed for PMSM based on d‐axis magnetic network model using magnetic field reconstruction. The proposed fault diagnosis method employs magnetic field reconstruction to obtain the radial air‐gap flux density under the open‐circuit condition. Subsequently, a d‐axis magnetic network is established to solve the demagnetisation coefficient matrix in the DF state. Finally, the effectiveness of the proposed method is validated through simulations and experiments. Both results demonstrate that the proposed method can accurately recognise uniform DF and partial DF with multiple demagnetised permanent magnets, exhibiting great robustness against different operating conditions.
Dual‐route synthetic‐to‐real adaption for single image dehazing
Authors: Qiao Yingxu , Huo Zhanqiang , Meng Sensen 
Published: November 2023

AbstractSingle image dehazing in real scenarios is still a particularly challenging task due to the large domain discrepancy between synthetic and real hazy images. To address this problem, the dual‐route domain‐aware adaptation framework with the bridging domain is proposed. First, inspired by the effective multistage strategy in low‐level tasks, the bridging domain is constructed with the color‐preserved adaptive histogram equalization to facilitate the adaptation and improve the performance of real hazy images. Second, the totally shared structure is relaxed and the residual dual‐path domain‐aware modules (RDDM) for synthetic and the bridging domains are proposed, which facilitates extracting the domain‐specific haze information with the different parameters. Third, a half‐cyclic constraint is proposed for the unsupervised hazy images to avoid structure distortion during the unsupervised adversarial training process. Finally, for convenience in the inference stage, feature enhancement modules (FEM) are proposed for the original real hazy images to learn the pre‐process operation in the training stage. Extensive qualitative and quantitative experiments demonstrate that the proposed method significantly improves the dehazing performance on synthetic and real hazy images.
A remaining useful life prediction method of SiC MOSFET considering failure threshold uncertainty
Authors: Wu Qunfang , Xu Boyuan , Xiao Lan , Wang Qin 
Published: November 2023

AbstractDifferent methods have been developed to predict power devices' remaining useful life (RUL). The existing methods need to specify the failure thresholds corresponding to failure precursors of power devices based on historical data. However, there might be heterogeneity in failure threshold between different devices despite being from the same batch, which can severely affect the RUL prediction performance. Aiming at this problem, this article proposes an RUL prediction method based on the non‐linear Wiener process considering the failure threshold uncertainty. To incorporate the failure threshold uncertainty into the RUL prediction, the truncated normal distribution is employed to characterize this uncertainty. The maximum‐likelihood estimation method is used to estimate the model parameters based on the historical degradation data. Then, the parameters can be dynamically updated by the Bayesian paradigm each time a new piece of condition monitoring (CM) data of the interested device in service is observed. This makes the predicted RUL dependent on the real‐time health conditions of the interested device in service. The effectiveness of the proposed method is validated with the power cycling testing results of SiC MOSFETs. Experimental results reveal that the proposed method can reduce the prediction error by 10.273%.
LHAASO J2108+5157 as a molecular cloud illuminated by a supernova remnant
Authors: Mitchell A. M. W. 
Published: November 2023

Context. The search for Galactic PeVatrons – astrophysical accelerators of cosmic rays to PeV energies – has entered a new phase in recent years with the discovery of the first ultra-high-energy (UHE, E > 100 TeV) γ-ray sources by the High Altitude Water Cherenkov (HAWC) observatory and Large High Altitude Air Shower Observatory (LHAASO). Establishing whether the emission is leptonic or hadronic in nature, however, requires multi-wavelength data and modelling studies. Among the currently known UHE sources, LHAASO J2108+5157 is an enigmatic source without clear association to a plausible accelerator, yet spatially coincident with molecular clouds.
Aims. We aim to investigate the scenario of a molecular cloud illuminated by cosmic rays accelerated in a nearby supernova remnant (SNR) as an explanation for LHAASO J2108+5157. We aim to constrain the required properties of the SNR as well as which of the clouds identified in the vicinity is the most likely association.
Methods. We used a model for cosmic-ray acceleration in SNRs, their transport through the interstellar medium, and subsequent interaction with molecular material to predict the corresponding γ-ray emission. The parameter space of SNR properties was explored to find the most plausible parameter combination that can account for the γ-ray spectrum of LHAASO J2108+5157.
Results. In the case that a SNR is illuminating the cloud, we find that it must be young (< 10 kyr) and located within 40–60 pc of the cloud. A SN scenario with a low Sedov time is preferred, with a maximum proton energy of 3 PeV assumed. No SNRs matching these properties are currently known, although an as yet undetected SNR remains feasible. The Galactic CR sea is insufficient to solely account for the observed flux, such that a PeVatron accelerator must be present in the vicinity.
β Pictoris b through the eyes of the upgraded CRIRES+
Authors: Landman R. , Stolker T. , Snellen I. A. G. , Costes J. , de Regt S. , Zhang Y. , Gandhi S. , Molliere P. , Kesseli A. , Vigan A. , Sanchez-López A. 
Published: November 2023

Context. High-resolution spectrographs fed by adaptive optics (AO) provide a unique opportunity to characterize directly imaged exoplanets. Observations with such instruments allow us to probe the atmospheric composition, spin rotation, and radial velocity of the planet, thereby helping to reveal information on its formation and migration history. The recent upgrade of the Cryogenic High-Resolution Infrared Echelle Spectrograph (CRIRES+) at the VLT makes it a highly suitable instrument for characterizing directly imaged exoplanets.
Aims. In this work, we report on observations of β Pictoris b with CRIRES+ and use them to constrain the planets atmospheric properties and update the estimation of its spin rotation.
Methods. The data were reduced using the open-source pycrires package. We subsequently forward-modeled the stellar, planetary, and systematic contribution to the data to detect molecules in the planet’s atmosphere. We also used atmospheric retrievals to provide new constraints on its atmosphere.
Results. We confidently detected water and carbon monoxide in the atmosphere of β Pictoris b and retrieved a slightly sub-solar carbon-to-oxygen ratio, which is in agreement with previous results. The interpretation is hampered by our limited knowledge of the C/O ratio of the host star. We also obtained a much improved constraint on its spin rotation of 19.9 ± 1.0 kms−1, which gives a rotation period of 8.7 ± 0.8 h, assuming no obliquity. We find that there is a degeneracy between the metallicity and clouds, but this has minimal impact on the retrieved C/O, υ sin i, and radial velocity. Our results show that CRIRES+ is performing well and stands as a highly useful instrument for characterizing directly imaged planets.
Konkremente des Tränenapparates
Authors: Stein Marlene , Bethmann Daniel , Viestenz Arne , Wickenhauser Claudia , Struck Hans-Gert , Heichel Jens 
Published: November 2023

ZusammenfassungKonkremente des Tränenapparates, sog. Dakryolithen, können an unterschiedlichen Lokalisationen auftreten und führen zu verschiedenen klinischen Zeichen. Gemeinsam ist das Auftreten chronischer Entzündungen, die akut exazerbieren können. Anhand einer Literaturrecherche sowie deskriptiver Vorstellung und Korrelation der Klinik mit histopathologischen Befunden sollen die wichtigsten Informationen zur Epidemiologie, Ätiopathogenese, Zusammensetzung, Histologie und Therapie gegeben werden. Weiterhin werden die bekannten Einflussfaktoren zur Lithogenese im Tränensack zusammengefasst. Konkremente der Tränendrüse zeigen eine Schwellung im Bereich des lateralen Kanthus. Die häufig nur mit leichten Schmerzen einhergehende Veränderung führt oft auch zu einer umschriebenen konjunktivalen Hyperämie. Histologisch ist das Gewebe der Tränendrüse von einer akut-erosiven bis chronischen Entzündungsreaktion gekennzeichnet. Die Konkremente bestehen aus amorphem Material. Das entzündliche Infiltrat ist von neutrophilen Granulozyten dominiert. Tränenröhrchensteine sind in hohem Maße mit dem klinischen Bild einer chronischen Kanalikulitis assoziiert. Klinisch liegen zumeist eine Epiphora und ein purulenter Sekretausfluss im Bereich des betroffenen Tränenröhrchens vor. Die Konkremente der Tränenröhrchen weisen typischerweise Actinomyces-Drusen auf. Das umgebende Gewebe reagiert mit einer plasmazellulären sowie granulozytären Infiltration. Dakryolithen (Konkremente des Tränensackes) manifestieren sich im Rahmen einer Dakryozystitis, wobei hier sowohl akute als auch chronische Entzündungen vorkommen. Sie werden in bis zu 18% der Dakryozystorhinostomien gefunden und stellen eine große diagnostische Herausforderung dar. Wiederkehrende episodenhafte Epiphora mit mukopurulenter Sekretion und akuter Dakryozystitis sind typisch. Zumeist besteht eine Spülbarkeit der ableitenden Tränenwege. Histologisch imponiert ein lymphozytäres Infiltrat mit submuköser Fibrose. Unmittelbar angrenzend zu den Konkrementen finden sich Zeichen einer akuten Entzündungsreaktion. Das therapeutische Mittel der Wahl ist die Extraktion der Konkremente und die Beseitigung der Tränenabflussstörung, da hierin ein wichtiger Faktor zur Entstehung gesehen wird.
Die E-Zigarette – Mittel zur Tabakentwöhnung?
Authors: Franzen Klaas , Pankow Wulf , Andreas Stefan 
Published: November 2023

Zusammenfassung
Tabakentwöhnung in Deutschland Nachdem der Tabakkonsum über mehrere Jahre rückläufig war, zeigt sich aktuell eine Stagnation bzw. ein Wiederanstieg der Rauchenden in Deutschland. Die Ursachen erscheinen vielfältig, wie z. B. Belastungen durch die Pandemie mit der sozialen Isolation, steigende Lebenshaltungskosten und Krieg in Europa. Bei einem weiterhin stark verbreiteten Tabakkonsum in der deutschen Bevölkerung wird eine evidenzbasierte Tabakentwöhnung nur selten durchgeführt.
Gesundheitsrisiken der E-Zigarette Nach neueren Studien sind E-Zigaretten an der Pathogenese von Lungenerkrankungen, Herz- und Gefäßschädigungen beteiligt. Zudem wirken ihre Inhaltsstoffe auch karzinogen. Klinische Untersuchungen zum dauerhaften Konsum liegen aber bisher nicht vor.
Wie wirksam ist die E-Zigarette bei der Tabakentwöhnung? E-Zigaretten als Konsumentenprodukt sind den in Leitlinien empfohlenen Nikotin-Ersatzpräparaten und suchthemmenden Medikamenten nicht überlegen. Im therapeutischen Setting sind sie etwas besser wirksam als Nikotin-Ersatzpräparate. Sie werden aber meistens dauerhaft konsumiert und verstetigen so die Nikotinabhängigkeit. Ihr Konsum erhöht die Rückfallgefahr zum Tabakrauchen.
Evidenzbasierte Tabakentwöhnung ambulant und stationär Trotz der verschiedenen neuen Ansätze, wie Internet-basierte Angebote, App etc., sind Gespräche und Pharmakotherapie der Goldstandard und wirksamer als jede Therapie für sich allein.