bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimizing ex vivo culture conditions to study human gut microbiome
Authors: Tao Xin , Huang Wenjin , Pan Lingyun , Sheng Lili , Qin Yuan , Chen Luo , Yu Linhuan , Wu Gaosong , Wan Jianbo , Li Houkai 
Published: April 2023

Abstract
The inter-individual variations of gut microbiome contribute to the different responses toward drug therapy among populations, developing a reliable ex vivo culture method for mixed bacteria is the urgent need for predicting personal reaction to drug therapy. Unfortunately, very few attentions have been paid to the bias that could be introduced during the culture process for mixed bacteria. Here we systemically evaluated the factors that may affect the outcomes of cultured bacteria from human feces. We demonstrated that inter-individual difference of host gut microbiome was the main factor affecting the outcomes of cultured bacteria, followed by the culture medium and time point. We further optimized a new medium termed GB based on our established multi-dimensional evaluation method, which could mimic the status of in situ host gut microbiome to the highest extent. Finally, we assessed the inter-individual metabolism by host gut microbiome from 10 donors on three frequently used clinical drugs (aspirin, levodopa and doxifluridine) based on the optimized GB medium. Our results revealed obvious variation in drug metabolism by microbiome from different donors, especially levodopa and doxifluridine. This work suggested the optimized culture medium had the potential for exploring the inter-individual impacts of host gut microbiome on drug metabolism.
Multi-modal sensor fusion towards three-dimensional airborne sonar imaging in hydrodynamic conditions
Authors: Fitzpatrick Aidan , Mathews Roshan P. , Singhvi Ajay , Arbabian Amin 
Published: April 2023

AbstractAnalogous to how aerial imagery of above-ground environments transformed our understanding of the earth’s landscapes, remote underwater imaging systems could provide us with a dramatically expanded view of the ocean. However, maintaining high-fidelity imaging in the presence of ocean surface waves is a fundamental bottleneck in the real-world deployment of these airborne underwater imaging systems. In this work, we introduce a sensor fusion framework which couples multi-physics airborne sonar imaging with a water surface imager. Accurately mapping the water surface allows us to provide complementary multi-modal inputs to a custom image reconstruction algorithm, which counteracts the otherwise detrimental effects of a hydrodynamic water surface. Using this methodology, we experimentally demonstrate three-dimensional imaging of an underwater target in hydrodynamic conditions through a lab-based proof-of-concept, which marks an important milestone in the development of robust, remote underwater sensing systems.
Parameters for Orally Feeding Neonates Who Require Noninvasive Ventilation: A Systematic Review
Authors: Barnes Carolyn , Herbert Teri Lynn , Bonilha Heather S. 
Published: April 2023

Purpose:
Infants hospitalized in the neonatal intensive care unit (NICU) may be orally fed while receiving noninvasive ventilation (NIV), but the practice is variable and decision criteria are not well understood. This systematic review examines the evidence regarding this practice, including type and level of NIV used during NICU oral feeding, protocols, and safety of this practice.

Method:
The PubMed, Scopus, and Cumulative Index to Nursing and Allied Health Literature (CINAHL) databases were searched to identify publications relevant to this review. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed to ensure the appropriate inclusion of articles.

Results:
Fourteen articles were included. Seven studies (50%) were retrospective. Two were quality improvement projects, and the remaining five (35.7%) were prospective. Continuous positive airway pressure and high-flow nasal cannula were commonly used. Levels of respiratory support were variable between studies, if reported at all. Three studies (21.4%) included feeding protocols. Six studies (42.9%) identified use of feeding experts. While many studies commented that orally feeding neonates on NIV is safe, the only study to instrumentally assess swallow safety found that a significant number of neonates silently aspirated during feeding on continuous positive airway pressure.

Conclusions:
Strong data supporting practices related to orally feeding infants in the NICU who require NIV are scarce. The types and levels of NIV, and decision-making criteria, are variable across studies and preclude clinically useful conclusions. There is a pressing need for additional research pertaining to orally feeding this population so that an evidence-based standard of care can be established. Specifically, this research should elucidate the impact of different types and levels of NIV on the mechanistic properties of swallowing as defined via instrumental assessment.
Telehealth Assessments and Interventions for Individuals With Poststroke Aphasia: A Scoping Review
Authors: Teti Selina , Murray Laura L. , Orange J. B. , Page Allyson D. , Kankam Keren S. 
Published: April 2023

Purpose:
There are increasing demands for aphasia assessment and intervention services to be delivered remotely. The purpose of this scoping review was to address what is known about the delivery of assessments and interventions using telehealth for people with poststroke aphasia. Specifically, the review sought to (a) identify which telehealth assessment protocols have been used, (b) identify which telehealth intervention protocols have been used, and (c) describe evidence on the effectiveness and feasibility of telehealth for people with poststroke aphasia.

Method:
A scoping review of the literature published in English since 2013 was conducted by searching MEDLINE, Embase, PsycINFO, CINAHL, and Scopus databases to identify relevant studies. A total of 869 articles were identified. Two reviewers screened records independently, finding 25 articles eligible for inclusion. Data extraction was conducted once and validated by the second reviewer.

Results:
Two of the included studies examined telehealth assessment protocols, whereas the remaining studies focused on the delivery of telehealth interventions. The results of the included studies illustrated both effectiveness and feasibility regarding telehealth for people with poststroke aphasia. However, a lack of procedural variation among the studies was found.

Conclusions:
Overall, this scoping review yielded continued support for the use of telehealth practices as an alternate mode of delivering both assessment and intervention services to people with poststroke aphasia. However, further research is needed to investigate the range of aphasia assessment and intervention protocols that can be offered via telehealth, such as assessments or interventions that use patient-reported measures or address extralinguistic cognitive abilities.
Grammaticality Judgments of Tense and Agreement by Child Speakers of African American English: Effects of Clinical Status, Surface Form, and Grammatical Structure
Authors: Vaughn Lori E. , Oetting Janna B. , McDonald Janet L. 
Published: April 2023

Purpose:

We examined the grammaticality judgments of tense and agreement (T/A) structures by children with and without developmental language disorder (DLD) within African American English (AAE). The children's judgments of T/A forms were also compared to their judgments of two control forms and, for some analyses, examined by surface form (i.e., overt, zero) and type of structure (i.e., BE, past tense, verbal –
s
).

Method:
The judgments were from 91 AAE-speaking kindergartners (DLD = 34; typically developing = 57), elicited using items from the Rice/Wexler Test of Early Grammatical Impairment. The data were analyzed twice, once using General American English as the reference and A′ scores and once using AAE as the reference and percentages of acceptability.

Results:

Although the groups differed using both metrics, the percentages of acceptability tied the DLD T/A deficit to judgments of the overt forms, while also revealing a general DLD weakness judging sentences that are ungrammatical in AAE. Judgments of the overt T/A forms by both groups correlated with their productions of these forms and their language test scores, and both groups showed structure-specific form preferences (“is”: overt > zero vs. verbal –
s
: overt = zero).

Conclusion:
The findings demonstrate the utility of grammaticality judgment tasks for revealing weaknesses in T/A within AAE-speaking children with DLD, while also calling for more studies using AAE as the dialect reference when designing stimuli and coding systems.

Supplemental Material:

https://doi.org/10.23641/asha.22534588
Hierarchical robust shipboard hybrid energy storage sizing with three‐layer power allocation
Authors: Luo Yingbing , Fang Sidun , Khan Irfan , Niu Tao , Liao Ruijin 
Published: April 2023

AbstractHybrid energy storage systems (HESSs) have gradually been viewed as essential energy/power buffers to balance the generation and load sides of fully electrified ships. To resolve the balance issue of HESS under multiple power resources, that is, shipboard diesel generators and fuel cells (FCs), this study proposes a robust sizing method implemented with a power allocation strategy. The proposed method is hierarchically formulated as two sequential sub‐problems: (1) a robust programming to determine the power/energy capacities of HESS under the maximal power demand scenario and (2) a control framework to fulfil the power allocation under multiple power resources. A ship case with one diesel engine and one FC is studied to show the validity of the proposed method. The simulation results show that the integration of HESS facilitates the power supply of critical propulsion loads. Compared with no HESS, HESS integration can reduce the deviation of direct current bus voltage sag by 56% and reduce the power fluctuations of the main engine and FC by 7.3% and 55.9%, respectively.
Grid‐aware provision and activation of fast and slow power flexibilities from distributed resources in low and medium voltage grids
Authors: Majumdar Ankur , Alizadeh‐Mousavi Omid 
Published: April 2023

AbstractThe intermittencies of renewable generations give rise to situations, which require both slow‐ and fast‐ramping flexibility capability from a variety of resources connected at the medium voltage (MV) andlow voltage (LV) distribution grids. Moreover, this may increase the grid reinforcement costs. To defer this reinforcement, the grid needs to be operated optimally. This paper proposes—(a) such an optimal operational methodology forthe MV and LV grids; and (b) an aggregated flexibility estimation methodology separately for fast and slow services at the primary substation (transmission interface). The methodologies based on model‐based MV grids and sensitivity coefficients‐based LV grids are suitable for LV grids where an up‐to‐date, accurate model and topology are not always available. Besides, the costs and resources associated to create full LV grid model and visibility should be prevented. The approaches, here, use the synchronised and accurate measurements from grid monitoring devices located at the LV distribution grids. They have been validated on a real MV and LV networks of a Swiss distribution grid operator equipped with such devices. The results, in terms of reducing technical losses, reducing grid violation costs,and estimating flexibility capability show the efficacy of the proposed methodologies and therefore, can be easily deployed.
DLSANet: Facial expression recognition with double‐code LBP‐layer spatial‐attention network
Authors: Guo Xing , Lu Siyuan , Wang Shuihua , Lu Zhihai , Zhang Yudong 
Published: April 2023

AbstractFacial expression recognition (FER) is widely used in many fields. To further improve the accuracy of FER, this paper proposes a method based on double‐code LBP‐layer spatial‐attention network (DLSANet). The backbone model for the DLSANet is an emotion network (ENet), which is modified with a double‐code LBP (DLBP) layer and a spatial attention module. The DLBP layer is at the front of the first convolutional layer. More valuable features can be extracted by inputting the image processed by DLBP into convolutional layers. The JAFFE and CK+ datasets are used, which contain seven expressions: happiness, anger, disgust, neutral, fear, sadness, and surprise. The average of fivefold cross‐validation shows that DLSANet achieves a recognition accuracy of 93.81% and 98.68% on the JAFFE and CK+ datasets. The experiment reveals that the DLSANet can produce better classification results than state‐of‐the‐art methods.
Hybrid space vector modulation for low‐order common‐mode voltage reduction in current‐source rectifier for transformerless medium voltage drives
Authors: Gao Hang 
Published: April 2023

AbstractFor transformerless current‐fed medium voltage drives, low‐order harmonics of common‐mode voltages (CMVs) are more concerned with than peak values. To mitigate low‐order harmonics, the average values of CMVs should be suppressed. A hybrid space vector modulation (SVM) is proposed in this study to further reduce CMV average values generated by a current‐source rectifier (CSR) compared to existing zero‐state vector selection modulation. The proposed SVM is a combination of zero‐state vector selection and active zero‐state modulations. The transition points between two modulations are defined based on various modulating index. Power losses and efficiency of the proposed hybrid SVM are analysed in detail. Simulation on a medium‐voltage CSR (1 MW/4160 V/139 A) and experiments on a scale‐down CSR (2.5 kW/208 V/6.94 A) are conducted under various working conditions, which validates the effectiveness of the proposed SVM to further mitigate 180 Hz and other low‐order harmonics in CMVs in contrast to that by conventional zero‐state vector selection modulation.
Prototype‐based method for incremental radar emitter identification
Authors: Han Xiao , Chen Shiwen , Xie Min , Yang Jincheng 
Published: April 2023

AbstractWith the widespread use of radars, different types of radar emitters are being used in the real electromagnetic environment. Radar emitter identification (REI) is an important technique in spectrum management. Methods based on deep learning have been successful in REI. However, they are difficult to be updated with signals from newly available categories. Additionally, two issues that must be considered in a real REI task. First, signals from new unknown radar emitters may appear in the identification stage. Hence the model used in REI must have an open‐set recognition capability. Second, obtaining numerous labelled samples in time are difficult in the incremental stage of the model. Thus, it is important to keep the model performance stable under conditions of small samples. To solve these problems, a one‐dimensional neural network is designed combined with ArcFace loss in the initial training stage to reserve more embedding space for future new classes, thereby facilitating the update of the model and open‐set recognition. An unbiased cosine similarity classifier was adopted, and the historical categories were memorised by their prototypes. When a new category is added, the prototype was calculated and the classifier weights were updated. The proposed method can identify unknown classes and add them to the model when given new labels, thereby resulting in an increase of the model's identifiable types. Extensive experiments were performed. The results show that the proposed model is highly efficient and requires small sample sizes, thereby making it suitable for REI.
Radio timing constraints on the mass of the binary pulsar PSR J1528−3146
Authors: Berthereau A. , Guillemot L. , Freire P. C. C. , Kramer M. , Venkatraman Krishnan V. , Cognard I. , Theureau G. , Bailes M. , i Bernadich M. C. , Lower M. E. 
Published: April 2023

Context. PSR J1528−3146 is a 60.8 ms pulsar orbiting a heavy white dwarf (WD) companion, with an orbital period of 3.18 d. The pulsar was discovered in the early 2000 s in a survey at 1.4 GHz of intermediate Galactic latitudes conducted with the Parkes radio telescope. The initial timing analysis of PSR J1528−3146, using data recorded from 2001 and 2004, did not reveal any relativistic perturbations to the orbit of the pulsar or to the propagation of its pulses. However, with an orbital eccentricity of ∼0.0002 and a large companion mass on the order of 1 M⊙, this system has been deemed likely to exhibit measurable perturbations.
Aims. This work is aimed at characterizing the pulsar’s astrometric, spin, and orbital parameters by analyzing timing measurements conducted at the Parkes, MeerKAT, and Nançay radio telescopes over nearly two decades. The measurement of post-Keplerian perturbations to the pulsar’s orbit can be used to constrain the masses of the two component stars of the binary and, in turn, to offer insights into the history of the system.
Methods. We analyzed timing data from the Parkes, MeerKAT, and Nançay radio telescopes collected over about 16 yr, obtaining a precise rotation ephemeris for PSR J1528−3146. A Bayesian analysis of the timing data was carried out to constrain the masses of the two components and the orientation of the orbit. We further analyzed the polarization properties of the pulsar to constrain the orientation of the magnetic axis and of the line of sight with respect to the spin axis.
Results. We measured a significant rate of advance of periastron, for the first time, and we set constraints on the Shapiro delay in the system and on the rate of change of the projected semi-major axis of the pulsar’s orbit. The Bayesian analysis yielded measurements for the pulsar and companion masses of Mp = 1.61−0.13+0.14 M⊙ and Mc = 1.33−0.07+0.08 M⊙ (68% C.L.), respectively, confirming that the companion is indeed massive. This companion mass as well as other characteristics of PSR J1528−3146 indicate that this pulsar is very similar to PSR J2222−0137, a 32.8 ms pulsar orbiting a WD whose heavy mass (∼1.32 M⊙) has been considered unique among pulsar-WD systems until now. Our measurements suggest common evolutionary scenarios for PSRs J1528−3146 and J2222−0137.
Endoscopic entero-enteral bypass to treat postsurgical benign complications of hepatico-jejunostomy: Update of a 7-year single-center experience
Authors: Mutignani Massimiliano , Forti Edoardo , Pugliese Francesco , Cintolo Marcello , Bonato Giulia , Bravo Marianna , Dioscoridi Lorenzo 
Published: April 2023

Abstract
Background and study aims Since 2014, we have been using a new endoscopic approach to improve management of biliary adverse events (BAEs) after bilio-digestive anastomosis. We provide an update about our experience at 7 years.
Patients and methods Patients with BAEs on hepatico-jejunostomy underwent entero-enteral endoscopic by-pass (EEEB) creation between the duodenal/gastric wall and the biliary jejunal loop. Evaluation of results during our seven-year experience was performed.
Results Eighty consecutive patients (32 patients from Jan 2014 to Dec 2017 and 48 patients from Jan 2018 to Jan 2021) underwent EEEB, which was successful in all but one patient. The cumulative AEs rate was 32 %. Endoscopic retrograde cholangiography (ERC) through the EEEB successfully treated all types of BAEs in these patients. Cumulative disease recurrence was 3.8 % (three patients) and was retreated through the EEEB.
Conclusions The update of our experience with EEEB confirmed that in patients with BAEs after bilio-digestive anastomosis, EEEB allows successful long-term treatment of different BAEs in a tertiary referral center with an acceptable rate of related AEs.
Spectrum and Trends of Intestinal Parasitic Infections at a Tertiary Care Hospital during Pandemic Times: A Laboratory-Based Retrospective Study
Authors: Meena Suneeta , Meena Jitendra Kumar , Kumar Dinesh , Mathur Purva 
Published: April 2023

Abstract
Introduction Intestinal parasitic infections continue to loom in developing countries with low sanitation and socioeconomic conditions. Pandemic times are especially important to study the prevalence of these pathogens since the focus of all healthcare services was coronavirus disease 2019 (COVID-19). This study aimed to evaluate the prevalence and time-trend of intestinal parasitic infections in the capital region of India during the pandemic times.
Methods In this cross-sectional study, a retrospective review based on data from the past 2 years in the post-COVID-19 pandemic was used. Descriptive and time-trend analyses were applied to the data. Time series analysis was analyzed using the best fit autoregressive integrated moving average (ARIMA) model to look for seasonality in trends and forecasting.
Results A total of 7267 patients' stool samples over a 2-year pandemic period were included in the study. Intestinal parasites were detected in 11.18% (813/7276) patients. Giardia lamblia (2.28%) and Blastocystis hominis (3.78%) were the predominant ones. Time-trend analysis from 2020 to 2021 using ARIMA model predicted an increasing trend with waning of pandemic. The most prevalent infection was found in the monsoon and autumn months.
Conclusion Rates of infection with Giardia lamblia and Blastocystis hominis have increased in comparison to other protozoan infections like Entamoeba histolytica when compared with prepandemic hospital-based studies. With fading of the pandemic, further increasing trends are predicted.
Germany and Nord Stream 2: evolution and end of an incongruous policy
Authors: Wood Steve 
Published: April 2023

AbstractThe Nord Stream 2 pipeline project to deliver gas from Russia through the Baltic Sea to Germany, and on to other parts of Europe, was a subject of unrelenting contestation. It impelled the convergence and intensification of already highly politicised domains: economics, energy, environment, conventional security, history, and values. Russian authorities, Nord Stream 2 AG and its investor consortium, and supportive politicians were opposed by governments of Estonia, Latvia, Lithuania, Poland, Ukraine, the USA, EU institutions, and some NGOs. Germany was confronted with sharp dilemmas and remains the pivotal actor in this confluence. The responsible German ministry rescinded approval to operate the pipeline 2 days before the Russian invasion of Ukraine on 24 February 2022. The topic encourages interaction of materialist IPE with other branches of International Relations, comparative politics, history, and law to incorporate identity-based, normative, and geopolitical influences on nominally economic activity and policy.