bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and evaluation of a parent advisory group to inform a research program for knowledge translation in child health
Authors: Hartling Lisa , Elliott Sarah A. , Buckreus Kelli , Leung Julie , Scott Shannon D. 
Published: June 2021

Abstract
Background
In response to a growing movement to involve patients and community stakeholders in health research, we established a parent advisory group in 2016. The group meets regularly to act as advisors and partners for our research program. The purpose of this paper is to describe our experiences establishing the group, and results from parent evaluations.

Methods
We contacted 191 organizations to recruit parents and caregivers of children who wanted to contribute to child health research. Our initial goal was to recruit 8 to 10 parents who would meet regularly (approximately 8 times per year). We conducted an online baseline survey of members after the first two meetings to understand motivations for participating and early experiences. Sixteen months later we conducted another online survey to identify what was going well and areas for improvement.

Results
Twelve parents initially joined the group. The baseline survey (n = 9 complete) identified motivations for participation: wanting a patient/family voice in health research; personal experience accessing health system for child’s care; wanting to improve healthcare communications. Concerns about participation included: having sufficient time to attend meetings; whether contributions would be worthwhile; and uncertainty about how the group’s input would be used in practice. Parents identified aspects that were working well: opportunity to provide constructive feedback; diversity among parents involved; well-run and organized meetings (agenda and materials sent prior to meeting, skilled facilitation, adequate time for discussion). Items parents identified as not working well were: fluctuating attendance; not knowing others in the group; challenges if attending remotely. At follow-up, there were seven active members. The follow-up survey (n = 5 complete) identified positive feedback related to group dynamics (e.g., collegial, everyone participates) and organization of meetings. Suggestions for improvement included increasing membership, regular attendance, and providing adequate information/context to allow meaningful input.

Conclusions
Our experience establishing a parent advisory group and evaluation of the group by parent members have yielded tremendous insights around involving parents and patient proxies in health research. The parent advisory group is a dynamic entity requiring ongoing communication between researchers and members. Effective means of evaluating engagement is essential to ensure it is meaningful. Dedicated time, funding and resources are required for success.
Knot formation in a thoracic epidural catheter: a case report
Authors: Mizota Toshiyuki , Kimura Kayo , Takeda Chikashi 
Published: June 2021

Abstract
Background
Although most epidural catheter knot formation has been reported in lumbar epidural catheter placement, knot formation in a thoracic epidural catheter has been experienced.

Case presentation
A 72-year-old woman was scheduled for laparoscopic cholecystectomy under general anesthesia combined with epidural anesthesia. The epidural catheter was inserted through the Th10–Th11 intervertebral space and was placed 7 cm into the epidural space. Two days after the surgery, the anesthesiologist was called because of difficulty in removing the epidural catheter. The catheter was eventually removed when the anesthesiologist carefully pulled it while strongly bending the patient’s body to the right, although resistance was still noted. The removed catheter was observed to have a hard single knot formed at about 3 mm from the tip.

Conclusions
A knot formation of an epidural catheter placed at the thoracic level was experienced. Limiting the length of catheter placement may prevent knot formation.
MicroRNAs as the critical regulators of cisplatin resistance in gastric tumor cells
Authors: Zangouei Amir Sadra , Moghbeli Meysam 
Published: June 2021

AbstractCombined chemotherapeutic treatment is the method of choice for advanced and metastatic gastric tumors. However, resistance to chemotherapeutic agents is one of the main challenges for the efficient gastric cancer (GC) treatment. Cisplatin (CDDP) is used as an important regimen of chemotherapy for GC which induces cytotoxicity by interfering with DNA replication in cancer cells and inducing their apoptosis. Majority of patients experience cisplatin-resistance which is correlated with tumor metastasis and relapse. Moreover, prolonged and high-dose cisplatin administrations cause serious side effects such as nephrotoxicity, ototoxicity, and anemia. Since, there is a high rate of recurrence after CDDP treatment in GC patients; it is required to clarify the molecular mechanisms associated with CDDP resistance to introduce novel therapeutic methods. There are various cell and molecular processes associated with multidrug resistance (MDR) including drug efflux, detoxification, DNA repair ability, apoptosis alteration, signaling pathways, and epithelial-mesenchymal transition (EMT). MicroRNAs are a class of endogenous non-coding RNAs involved in chemo resistance of GC cells through regulation of all of the MDR mechanisms. In present review we have summarized all of the miRNAs associated with cisplatin resistance based on their target genes and molecular mechanisms in gastric tumor cells. This review paves the way of introducing a miRNA-based panel of prognostic markers to improve the efficacy of chemotherapy and clinical outcomes in GC patients. It was observed that miRNAs are mainly involved in cisplatin response of gastric tumor cells via regulation of signaling pathways, autophagy, and apoptosis.
Predicting wildfire impacts on the prehistoric archaeological record of the Jemez Mountains, New Mexico, USA
Authors: Friggens Megan M. , Loehman Rachel A. , Constan Connie I. , Kneifel Rebekah R. 
Published: June 2021

AbstractBackgroundWildfires of uncharacteristic severity, a consequence of climate changes and accumulated fuels, can cause amplified or novel impacts to archaeological resources. The archaeological record includes physical features associated with human activity; these exist within ecological landscapes and provide a unique long-term perspective on human–environment interactions. The potential for fire-caused damage to archaeological materials is of major concern because these resources are irreplaceable and non-renewable, have social or religious significance for living peoples, and are protected by an extensive body of legislation. Although previous studies have modeled ecological burn severity as a function of environmental setting and climate, the fidelity of these variables as predictors of archaeological fire effects has not been evaluated. This study, focused on prehistoric archaeological sites in a fire-prone and archaeologically rich landscape in the Jemez Mountains of New Mexico, USA, identified the environmental and climate variables that best predict observed fire severity and fire effects to archaeological features and artifacts.ResultsMachine learning models (Random Forest) indicate that topography and variables related to pre-fire weather and fuel condition are important predictors of fire effects and severity at archaeological sites. Fire effects were more likely to be present when fire-season weather was warmer and drier than average and within sites located in sloped, treed settings. Topographic predictors were highly important for distinguishing unburned, moderate, and high site burn severity as classified in post-fire archaeological assessments. High-severity impacts were more likely at archaeological sites with southern orientation or on warmer, steeper, slopes with less accumulated surface moisture, likely associated with lower fuel moistures and high potential for spreading fire.ConclusionsModels for predicting where and when fires may negatively affect the archaeological record can be used to prioritize fuel treatments, inform fire management plans, and guide post-fire rehabilitation efforts, thus aiding in cultural resource preservation.
Highlighting photonics: looking into the next decade
Authors: Chen Zhigang , Segev Mordechai 
Published: June 2021

AbstractLet there be light–to change the world we want to be! Over the past several decades, and ever since the birth of the first laser, mankind has witnessed the development of the science of light, as light-based technologies have revolutionarily changed our lives. Needless to say, photonics has now penetrated into many aspects of science and technology, turning into an important and dynamically changing field of increasing interdisciplinary interest. In this inaugural issue of eLight, we highlight a few emerging trends in photonics that we think are likely to have major impact at least in the upcoming decade, spanning from integrated quantum photonics and quantum computing, through topological/non-Hermitian photonics and topological insulator lasers, to AI-empowered nanophotonics and photonic machine learning. This Perspective is by no means an attempt to summarize all the latest advances in photonics, yet we wish our subjective vision could fuel inspiration and foster excitement in scientific research especially for young researchers who love the science of light.
Clinical Inflection Point Detection on the Basis of EHR Data to Identify Clinical Trial–Ready Patients With Cancer
Authors: Kehl Kenneth L. , Groha Stefan , Lepisto Eva M. , Elmarakeby Haitham , Lindsay James , Gusev Alexander , Van Allen Eliezer M. , Hassett Michael J. , Schrag Deborah 
Published: June 2021

PURPOSE To inform precision oncology, methods are needed to use electronic health records (EHRs) to identify patients with cancer who are experiencing clinical inflection points, consistent with worsening prognosis or a high propensity to change treatment, at specific time points. Such patients might benefit from real-time screening for clinical trials. METHODS Using serial unstructured imaging reports for patients with solid tumors or lymphoma participating in a single-institution precision medicine study, we trained a deep neural network natural language processing (NLP) model to dynamically predict patients' prognoses and propensity to start new palliative-intent systemic therapy within 30 days. Model performance was evaluated using Harrell's c-index (for prognosis) and the area under the receiver operating characteristic curve (AUC; for new treatment and new clinical trial enrollment). Associations between model outputs and manual annotations of cancer progression were also evaluated using the AUC. RESULTS A deep NLP model was trained and evaluated using 302,688 imaging reports for 16,780 patients. In a held-out test set of 34,770 reports for 1,952 additional patients, the model predicted survival with a c-index of 0.76 and initiation of new treatment with an AUC of 0.77. Model-generated prognostic scores were associated with annotation of cancer progression on the basis of manual EHR review (n = 1,488 reports for 110 patients with lung or colorectal cancer) with an AUC of 0.78, and predictions of new treatment were associated with annotation of cancer progression on the basis of manual EHR review with an AUC of 0.84. CONCLUSION Training a deep NLP model to identify clinical inflection points among patients with cancer is feasible. This approach could identify patients who may benefit from real-time targeted clinical trial screening interventions at health system scale.
The aerodynamics of flying snake airfoils in tandem configuration
Authors: Jafari Farid , Holden Daniel , LaFoy Roderick , Vlachos Pavlos P. , Socha John J. 
Published: June 2021

ABSTRACT
Flying snakes flatten their body to form a roughly triangular cross-sectional shape, enabling lift production and horizontal acceleration. While gliding, they also assume an S-shaped posture, which could promote aerodynamic interactions between the fore and the aft body. Such interactions have been studied experimentally; however, very coarse models of the snake's cross-sectional shape were used, and the effects were measured only for the downstream model. In this study, the aerodynamic interactions resulting from the snake's posture were approximated using two-dimensional anatomically accurate airfoils positioned in tandem to mimic the snake's geometry during flight. Load cells were used to measure the lift and drag forces, and flow field data were obtained using digital particle image velocimetry (DPIV). The results showed a strong dependence of the aerodynamic performance on the tandem arrangement, with the lift coefficients being generally more influenced than the drag coefficients. Flow field data revealed that the tandem arrangement modified the separated flow and the wake size, and enhanced the lift in cases in which the wake vortices formed closer to the models, producing suction on the dorsal surface. The downforce created by the flow separation from the ventral surface of the models at 0 deg angle of attack was another significant factor contributing to lift production. A number of cases showing large variations of aerodynamic performance included configurations close to the most probable posture of airborne flying snakes, suggesting that small postural variations could be used to control the glide trajectory.
Snowflake morays, Echidna nebulosa, exhibit similar feeding kinematics in terrestrial and aquatic treatments
Authors: Mehta Rita S. , Donohoe Kyle R. 
Published: June 2021

ABSTRACT
Some species of durophagous moray eels (Muraenidae) have been documented emerging from the marine environment to capture intertidal crabs but how they consume prey out of water is unknown. Here, we trained snowflake morays, Echidna nebulosa, to undulate out of the aquatic environment to feed on land. On land, snowflake morays remove prey from the substrate by biting and swallow prey using pharyngeal jaw enabled transport. Although snowflake morays exhibit smaller jaw rotation angles on land when apprehending their prey, transport kinematics involving dorsoventral flexion of the head to protract the pharyngeal jaws and overall feeding times did not differ between terrestrial and aquatic treatments. We suggest that their elongate body plan, ability to rotate their heads in the dorsoventral and lateral directions, and extreme pharyngeal movements all contribute to the ability of durophagous morays to feed in the terrestrial environment.
The influence of the post-pulmonary septum and submersion on the pulmonary mechanics of Trachemys scripta (Cryptodira: Emydidae)
Authors: de Souza Ray Brasil Bueno , Klein Wilfried 
Published: June 2021

ABSTRACT
The respiratory system of chelonians needs to function within a mostly solid carapace, with ventilation depending on movements of the flanks. When submerged, inspiration has to work against hydrostatic pressure. We examined breathing mechanics in Trachemys scripta while underwater. Additionally, as the respiratory system of T. scripta possesses a well-developed post-pulmonary septum (PPS), we investigated its role by analyzing the breathing mechanics of lungs with and without their PPS attached. Static compliance was significantly increased in submerged animals and in animals with and without their PPS, while removal of the PPS did not result in a significantly different static compliance. Dynamic compliance was significantly affected by changes in volume and frequency in every treatment, with submergence significantly decreasing dynamic compliance. The presence of the PPS significantly increased dynamic compliance. Submersion did not significantly alter work per ventilation, but caused minute work of breathing to be much greater at any frequency and ventilation level analyzed. Lungs with or without their PPS did not show significantly different work per ventilation when compared with the intact animal. Our results demonstrate that submersion results in significantly altered breathing mechanics, increasing minute work of breathing greatly. The PPS was shown to maintain a constant volume within the animal's body cavity, wherein the lungs can be ventilated more easily, highlighting the importance of this coelomic subdivision in the chelonian body cavity.
Acoustic-resolution photoacoustic microscopy based on an optically transparent focused transducer with a high numerical aperture
Authors: Fang Cheng , Zou Jun 
Published: June 2021

This Letter reports acoustic-resolution-photoacoustic microscopy (AR-PAM) based on a new optically transparent focused polyvinylidene fluoride (PVDF) transducer with a high acoustic numerical aperture (NA) of 0.64. Owing to the improved fabrication process, the new transducer has a much higher NA (0.64) than the previously reported low-NA transducer (

N
A

=

0.23

). The acoustic center frequency and (pulse-echo) bandwidth are also increased to 36 and 44 MHz, respectively, which provides a 38 µm acoustic focal spot size and 210 µm acoustic depth of focus. For demonstration, AR-PAM was conducted on a twisted wire target in water and chicken breast tissue, and in vivo on a mouse tail. The imaging results show that high acoustic resolution and sensitivity can be achieved with a simple and compact setup to resolve the target at different depths. Such capabilities can be useful for the development of new AR-PAM systems for handheld, wearable, and even endoscopic imaging applications.
Twin lossy mode resonance on a single D-shaped optical fiber
Authors: Imas J. J. , Zamarreño C. R. , Zubiate P. , Del Villar I. , Pérez-Escudero J. M. , Matías I. R. 
Published: June 2021

This Letter presents the fabrication of dual lossy mode resonance (LMR) refractometers based on titanium dioxide (

T
i
O

2

) and tin oxide (

S
n
O

2

) thin films deposited on a single side-polished D-shaped optical fiber. For the first time, to the best of our knowledge, two independent LMRs are obtained in the same D-shaped optical fiber, by using a step-shaped nanostructure consisting of a first section of

T
i
O

2

with a thickness of 120 nm and a second section with a thickness of 140 nm (120 nm of

T
i
O

2

and 20 nm of

S
n
O

2

). Each section is responsible for generating a first-order LMR with TM-polarized light (

L
M
R

T
M

).

T
i
O

2

is deposited by atomic layer deposition and

S
n
O

2

by electron-beam deposition. The theoretical results show that the depth of each of the resonances of the dual LMR depends on the length of the corresponding section. Two experimental devices were fabricated with sections of different lengths, and their sensitivities were studied, achieving values

∼

4000

n
m

/

r
e
f
r
a
c
t
i
v
e

i
n
d
e
x

u
n
i
t

(RIU) with a maximum of 4506 nm/RIU for values of the SRI between 1.3327 and 1.3485.
Visualizing and simplifying convolutional recurrent autoencoder for mismatch compensation of channel-interleaved photonic analog-to-digital converter
Authors: Zou Xiuting , Xu Shaofu , Zou Weiwen 
Published: June 2021

Deep learning (DL) has been used to successfully solve numerous problems and challenges in a wide range of fields. The architecture of DL is complex and treated as a black box, making it difficult to understand the principles behind it. Here, we visualize the process of compensating for time mismatches for a two-channel photonic analog-to-digital converter (PADC) by a convolutional recurrent autoencoder (CRAE) with excellent generalizability and robustness. Besides, we explore the effects of different modules of the CRAE on the generalizability. Based on the analysis of the above two operations, we simplify the CRAE and then apply it to a four-channel PADC, which is a more complex channel-interleaved system. Consequently, for both PADC systems, the performance of the simplified CRAE is as good as that of the original CRAE. Moreover, for the two-channel PADC, after simplification, the frame rate of the CRAE is increased from 460 frames/second to 975 frames/second, 20,000 points in each frame. For the four-channel PADC, the spur-free dynamic range is enhanced to 24.6 dBc from 5.2 dBc.
Chronic disease stigma, skepticism of the health system, and socio-economic fragility: Qualitative assessment of factors impacting receptiveness to group medical visits and microfinance for non-communicable disease care in rural Kenya
Authors: Dong Rae , Leung Claudia , Naert Mackenzie N. , Naanyu Violet , Kiptoo Peninah , Matelong Winnie , Matini Esther , Orango Vitalis , Bloomfield Gerald S. , Edelman David , Fuster Valentin , Manyara Simon , Menya Diana , Pastakia Sonak D. , Valente Tom , Kamano Jemima , Horowitz Carol R. , Vedanthan Rajesh 
Published: June 2021

Background
Non-communicable diseases (NCDs) are the leading cause of mortality in the world, and innovative approaches to NCD care delivery are being actively developed and evaluated. Combining the group-based experience of microfinance and group medical visits is a novel approach to NCD care delivery. However, the contextual factors, facilitators, and barriers impacting wide-scale implementation of these approaches within a low- and middle-income country setting are not well known.

Methods
Two types of qualitative group discussion were conducted: 1) mabaraza (singular, baraza), a traditional East African community gathering used to discuss and exchange information in large group settings; and 2) focus group discussions (FGDs) among rural clinicians, community health workers, microfinance group members, and patients with NCDs. Trained research staff members led the discussions using structured question guides. Content analysis was performed with NVivo using deductive and inductive codes that were then grouped into themes.

Results
We conducted 5 mabaraza and 16 FGDs. A total of 205 individuals (113 men and 92 women) participated in the mabaraza, while 162 individuals (57 men and 105 women) participated in the FGDs. In the context of poverty and previous experiences with the health system, participants described challenges to NCD care across three themes: 1) stigma of chronic disease, 2) earned skepticism of the health system, and 3) socio-economic fragility. However, they also outlined windows of opportunity and facilitators of group medical visits and microfinance to address those challenges.

Discussion
Our qualitative study revealed actionable factors that could impact the success of implementation of group medical visits and microfinance initiatives for NCD care. While several challenges were highlighted, participants also described opportunities to address and mitigate the impact of these factors. We anticipate that our approach and analysis provides new insights and methodological techniques that will be relevant to other low-resource settings worldwide.