bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tongue+ protocol for the diagnosis of obstructive sleep apnoea in Quirónsalud Marbella hospital
Authors: Rodriguez-Alcalá Laura , Ignacio-García JM , Serrano Angulo Maria Soledad , Casado Morente Juan Carlos , Benjumea Flores Felipe , O'Connor-Reina Carlos 
Published: March 2022

Background: Myofunctional therapy has been shown to be effective in treating sleep-disordered breathing. The elaboration of this protocol arises with the purpose of establishing a complete and common evaluation of sleep respiratory disorders from the point of view of the anatomy and functionality of the upper airway to guarantee the long-term treatment of the different phenotypes of patients with obstructive sleep apnoea (OSA). Our multidisciplinary unit has an experience of more than 10 years in treating OSA patients and has numerous recent publications focused on the role of myofunctional therapy. Methods: The evaluation of the patient with obstructive sleep apnoea is carried out jointly by the medical team of Pulmonology and Otorhinolaryngology of the Sleep Unit. The patients undergo an anatomical and motor tone evaluation of the upper airway to find the cause of the collapse and a sleep study to confirm the diagnosis and its severity. Conclusions: With this protocol we want to present our clinical experience in the comprehensive diagnostic management of the patient with obstructive sleep apnea and provide the most correct treatment among the different therapeutic options available for sleep apnea.
To other new educational ways for interdisciplinary cooperation and innovation: about a student-driven hackathon
Authors: Ribault Shams , Bessaguet Hugo , Ardaillon Hugo , Rousson Guillaume , Nivesse Damien , Fareh Tasnim , Malishchuk Anne-Sophie , Milot Alicia , Eklu Baptiste , Seguin Perrine , Rode Gilles 
Published: March 2022

Background: Innovation in healthcare cannot be conceived without an interdisciplinary approach. Hackathons are an innovative approach to promote team working and demonstrated an interest in higher education through inquiry-based learning. An interdisciplinary team of students and young professionals organized the first hybrid presential and online neurorehabilitation hackathon, within the joined 2020 WCNR-SOFMER congress, adapting to the COVID-19 pandemic. Methods: Interdisciplinary teams worked during two days on concrete issues met by people with a disability and their caregivers, accompanied by multi-skilled mentors to create tangible solutions. An independent jury selected the winning project. Results: HRL met the expectations of 96% of the 31 participants. They reported better knowledge and ability about teamwork, ethics, and patient-centered approaches. Conclusions: HRL allowed the creation of a strong interdisciplinary and international network which will be valuable to foster innovation. It demonstrated its value in the junior and students’ training for teamwork, communication, creativity in innovation, and ethics in health.
The intellectual system of movies recommendations based on the collaborative filtering
Authors: Sitkar Stepan , Voitovych Oksana , Horbatiuk Roman , Sitkar Taras , Shrol Tetiana , Poliukhovych Nataliia , Grygus Igor , Zukow Walery 
Published: March 2022

The investigation deals with designing and developing of intellectual system of movies recommendations based on the collaborative filtering using the Python software environment. In particular, the approaches (Content-based approach, Collaborative filtering, Hybrid models) in recommendatory system construction with the help of neural networks have been analyzed. It has been established that it is difficult to implement and learn the Content-based approach and it strongly depends on the subject area. Collaborative filtering is more simple in implementation, training, it is universal, but it has a flaw in the form of a «cold-start». Accordingly, the collaborative filtering has been chosen for the design and development of the intellectual system of movies recommendations. While designing a system of recommendations based on collaborative filtering, the Naive Recommendations, Recommendations based on average ratings of similar users, Recommendations based on average user ratings and similarity matrix have been described; their algorithm and their implementation using the Python software environment have been demonstrated. As a result the intellectual system of recommendations has been realized and it can offer a movie to the user according to his/her preferences.
VeRoViz: A Vehicle Routing Visualization Toolkit
Authors: Peng Lan , Murray Chase 
Published: March 2022

VeRoViz is an open-source vehicle routing visualization package consisting of both Python and web-based components. It was developed to streamline the workflow for vehicle routing researchers by simplifying and automating many of the tedious tasks associated with generating realistic test problems. VeRoViz also provides new functionality to produce customizable visualizations of complex vehicle routing problems. These visualization tools—including Gantt charts, static maps, and dynamic 3-D videos—assist researchers in validating models and communicating results. Additionally, a comprehensive collection of utility functions within VeRoViz provides researchers with useful tools to assess features of their problems. This paper provides an overview of VeRoViz and highlights the flexibility and ease-of-use of the toolkit. Summary of Contribution: This paper describes an open-source software package designed to assist vehicle routing researchers. The software package, named VeRoViz (vehicle routing visualization), streamlines the process of collecting and visualizing data relevant to vehicle routing research. This includes capturing road network travel times (and distances) between locations, displaying turn-by-turn vehicle routes, generating Gantt charts of vehicle assignments, and producing 3-D “movies” of vehicle routing solutions. The VeRoViz suite consists of three components. First, a web-based interface allows researchers (and instructors) to quickly “sketch” elements of a vehicle routing problem, providing visual representations of nodes and arcs on a map. Second, the VeRoViz Python package provides an extensive collection of functions that assist operations researchers in collecting data and displaying solutions. Finally, an HTML/JavaScript plugin is available for displaying time-dynamic 3-D visualization of vehicle routes. VeRoViz is not a vehicle routing solver; it is a software suite that complements and supports researchers who are developing solution approaches to increasingly realistic vehicle routing problems (e.g., problems related to drone delivery, electric vehicles, or dynamic delivery requests).
Convergent Nested Alternating Minimization Algorithms for Nonconvex Optimization Problems
Authors: Gur Eyal , Sabach Shoham , Shtern Shimrit 
Published: March 2022

We introduce a new algorithmic framework for solving nonconvex optimization problems, that is called nested alternating minimization, which aims at combining the classical alternating minimization technique with inner iterations of any optimization method. We provide a global convergence analysis of the new algorithmic framework to critical points of the problem at hand, which to the best of our knowledge, is the first of this kind for nested methods in the nonconvex setting. Central to our global convergence analysis is a new extension of classical proof techniques in the nonconvex setting that allows for errors in the conditions. The power of our framework is illustrated with some numerical experiments that show the superiority of this algorithmic framework over existing methods. Funding: This work was supported by the Deutsche Forschungsgemeinschaft [Grant 800240] and the Israel Science Foundation [Grant 2480/21].
Adaptive Secure Energy Efficiency Routing Protocol for Wireless Sensor Network
Authors: Bethi Sravankumar , Moparthi Nageswara Rao 
Published: March 2022

Wireless Sensor Network (WSN) is highly used in many applications for monitoring purposes. Many researchers were carried out in energy efficiency and security to improve network performance. In this research, the Adaptive Secure Energy Efficiency Routing Protocol (ASEERP) is proposed to improve security and reduce the energy consumption of the WSN. Gaussian distribution is used in this model to improve the synchronization of the model for the routing. Initialization of the node is carried out based on the residual energy of the node and neighbor node of WSN. The model routing phase transmits the data based on direct transmission and relay transmission based on path availability and distance. The direct transmission is carried out in a possible scenario to save energy in the neighbor nodes. The co-operation phase in the model helps to select the best relay based on the residual energy if the transmission is carried out based on the relay node. The source information and relay information are combined to analyze the neighbourhood information to adaptively select the optimal path in the model. The incoming packets and outgoing packets of the sensor nodes are measured to detect the attack and attack indicator estimation is used to detect the malicious node to deny access to it. The proposed ASEERP model has an energy consumption of 57 J, the existing LEACH-C model has 80 J and the SMEER model has 72 J for 600 ms time.
Design of a grating-assisted silicon hybrid mode-, polarization-, and wavelength-division (De)multiplexer for on-chip optical interconnects
Authors: Minz Manoranjan , Sonkar Ramesh Kumar 
Published: March 2022

This paper presents a 12-channel hybrid mode-, polarization-, and wavelength-division (de)multiplexer. The proposed device is designed on a silicon-on-insulator platform. The device structure constitutes three coupling sections with a bus waveguide at the middle and two single-mode waveguides on each side. The periodic grating structures are present in between the waveguides for contra-directional coupling of the three TE modes and three TM modes of the bus waveguide to respective fundamental modes of the single-mode waveguides at 1550 and 1560 nm. The device is simulated using the 3D finite-difference time-domain technique, and the resulting insertion loss, cross talk, and return loss are

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Development and internal validation of prediction models for future hospital care utilization by patients with multimorbidity using electronic health record data
Authors: Verhoeff Marlies , de Groot Janke , Burgers Jako S. , van Munster Barbara C. 
Published: March 2022

Objective
To develop and internally validate prediction models for future hospital care utilization in patients with multiple chronic conditions.

Design
Retrospective cohort study.

Setting
A teaching hospital in the Netherlands (542 beds)

Participants
All adult patients (n = 18.180) who received care at the outpatient clinic in 2017 for two chronic diagnoses or more (including oncological diagnoses) and who returned for hospital care or outpatient clinical care in 2018. Development and validation using a stratified random split-sample (n = 12.120 for development, n = 6.060 for internal validation).

Outcomes
≥2 emergency department visits in 2018, ≥1 hospitalization in 2018 and ≥12 outpatient visits in 2018.

Statistical analysis
Multivariable logistic regression with forward selection.

Results
Evaluation of the models’ performance showed c-statistics of 0.70 (95% CI 0.69–0.72) for the hospitalization model, 0.72 (95% CI 0.70–0.74) for the ED visits model and 0.76 (95% 0.74–0.77) for the outpatient visits model. With regard to calibration, there was agreement between lower predicted and observed probability for all models, but the models overestimated the probability for patients with higher predicted probabilities.

Conclusions
These models showed promising results for further development of prediction models for future healthcare utilization using data from local electronic health records. This could be the first step in developing automated alert systems in electronic health records for identifying patients with multimorbidity with higher risk for high healthcare utilization, who might benefit from a more integrated care approach.
Individual and community-level factors of treatment-seeking behaviour among caregivers with febrile children in Ethiopia: A multilevel analysis
Authors: Liyew Bikis , Tarekegn Gebrekidan Ewnetu , Kassew Tilahun , Tsegaye Netsanet , Asfaw Marye Getnet , Tilahun Ambaye Dejen , Tadesse Ayalew Zewdie , Alamneh Tesfa Sewunet 
Published: March 2022

BackgroundEarly diagnosis and treatment of childhood fever are essential for controlling disease progression and death. However, the Treatment-seeking behaviour of caregivers is still a significant challenge in rural parts of the African region. This study aimed to assess individual and community-level factors associated with treatment-seeking behaviours among caregivers of febrile under-five age children in Ethiopia.MethodThe recent Ethiopian Demographic and Health Survey data (EDHS 2016) was used for the study. The survey collected information among 1,354 under-five children who had a fever within two weeks before the survey. The data were extracted, cleaned, and recoded using STATA version 14. Multilevel logistic regressions were used to determine the magnitude and associated factors of treatment-seeking behaviour among caregivers with febrile children in Ethiopia. Four models were built to estimate both fixed and random effects of individual and community-level factors between cluster variations on treatment-seeking behaviour. The Adjusted Odds Ratios with 95% Confidence Intervals (CI) of the best-fitted model were reported at p<0.05.ResultThis study revealed that 491 (36.26%) caregivers seek treatment for their febrile children. Living in metropolitan and small peripheral regions, delivery at health institutions, being poorer, middle and richer wealth quintiles, having a child with diarrhoea, cough, short rapid breathing, and wasting were positively associated with treatment-seeking behaviour of caregivers.ConclusionThe caregivers had poor treatment-seeking behaviour for their febrile children in Ethiopia. Health education programmers should emphasise the importance of seeking early treatment, taking action on childhood febrile illness signs.
Lightweight rowers’ perspectives of living with Relative Energy Deficiency in Sport (RED-S)
Authors: Gillbanks Lucy , Mountjoy Margo , Filbay Stephanie R. 
Published: March 2022

Objective
To compete in lightweight rowing, strict limits are placed on the maximum body weight of each individual. As a result, lightweight rowers commonly restrict calorie intake despite high energy expenditure. This can result in Relative Energy Deficiency in Sport (RED-S). The aim of this study is to investigate the physical and psychosocial impact of RED-S, from the perspective of lightweight rowers.

Design
Semi-structured individual qualitative interviews.

Participants
Adults living in the United Kingdom who are current or former lightweight rowing participants and experienced ≥1 symptom of RED-S.

Method
Audio-recorded semi-structured individual telephone interviews were performed. Data was analysed using an inductive thematic approach, coding was iterative and data-driven, facilitated by NVivo software.

Results
Twelve current or former lightweight rowers (intermediate to international standard, 67% female, aged 19–32 years) participated. Participants restricted calories and increased energy expenditure to elicit weight-loss in order to meet weight requirements. This resulted in psychosocial implications (reduced social interaction, difficulty maintaining relationships, poor emotional regulation, low mood, poor concentration, disordered eating, guilt and anxiety around food, and a negative body image). Some psychosocial implications persisted after retirement from lightweight rowing. Participants described a range of physical implications, including disrupted sleep, decreased performance and recovery, bowel disruption, menstrual dysfunction, fatigue, musculoskeletal pain, injury and weakened immune systems.

Conclusions
This study describes short and long-term physical and psychosocial impacts of RED-S from the perspective of lightweight rowers. Findings highlight the importance of effective RED-S prevention and management strategies for lightweight rowers. These findings may be used to educate health-care professionals, coaches and athletes on the personal impacts and serious health consequences of RED-S.
Whole-exome sequencing in a Japanese multiplex family identifies new susceptibility genes for intracranial aneurysms
Authors: Maegawa Tatsuya , Akagawa Hiroyuki , Onda Hideaki , Kasuya Hidetoshi 
Published: March 2022

Background
Intracranial aneurysms (IAs) cause subarachnoid hemorrhage, which has high rates of mortality and morbidity when ruptured. Recently, the role of rare variants in the genetic background of complex diseases has been increasingly recognized. The aim of this study was to identify rare variants for susceptibility to IA.

Methods
Whole-exome sequencing was performed on seven members of a Japanese pedigree with highly aggregated IA. Candidate genes harboring co-segregating rare variants with IA were re-sequenced and tested for association with IA using additional 500 probands and 323 non-IA controls. Functional analysis of rare variants detected in the pedigree was also conducted.

Results
We identified two gene variants shared among all four affected participants in the pedigree. One was the splicing donor c.1515+1G>A variant in NPNT (Nephronectin), which was confirmed to cause aberrant splicing by a minigene assay. The other was the missense p.P83T variant in CBY2 (Chibby family member 2). Overexpression of p.P83T CBY2 fused with red fluorescent protein tended to aggregate in the cytoplasm. Although Nephronectin has been previously reported to be involved in endothelial angiogenic functions, CBY2 is a novel molecule in terms of vascular pathophysiology. We confirmed that CBY2 was expressed in cerebrovascular smooth muscle cells in an isoform2-specific manner. Targeted CBY2 re-sequencing in additional case-control samples identified three deleterious rare variants (p.R46H, p.P83T, and p.L183R) in seven probands, showing a significant enrichment in the overall probands (8/501) compared to the controls (0/323) (p = 0.026, Fisher’s extract test).

Conclusions
NPNT and CBY2 were identified as novel susceptibility genes for IA. The highly heterogeneous and polygenic architecture of IA susceptibility can be uncovered by accumulating extensive analyses that focus on each pedigree with a high incidence of IA.
2021 National Survey on Prior Authorization Burden and Its Impact on Gastroenterology Practice
Authors: Shah Eric D. , Amann Stephen T. , Hobley James , Islam Sameer , Taunk Raja , Wilson Louis 
Published: March 2022

INTRODUCTION:
Prior authorizations (PAs) are intended to control prescription drug expenditures.

METHODS:
One hundred fifty-six physician and advanced practice provider members of the American College of Gastroenterology completed a national survey to assess PA burden and impact.

RESULTS:
One-half of PA requests relate to prescription refills. Greater than 50% of the respondents choose inferior treatments at least weekly because of perceived PA burden for preferred agents. One-half of the respondents reported a patient who experienced serious adverse events due to PA-related care delays.

DISCUSSION:
PA is an administrative burden that exhausts practice resources and may have a negative impact on patient care.
Serum Syndecan-1: A Novel Biomarker for Pancreatic Ductal Adenocarcinoma
Authors: Yablecovitch Doron , Ben-Horin Shomron , Picard Orit , Yavzori Miri , Fudim Ella , Nadler Moshe , Levy Idan , Sakhnini Emad , Lang Alon , Engel Tal , Lahav Maor , Saker Talia , Neuman Sandra , Selinger Limor , Dvir Revital , Raitses-Gurevich Maria , Golan Talia , Laish Ido 
Published: March 2022

INTRODUCTION:
Syndecan-1 (SDC1) has multiple functions in tumorigenesis in general and specifically in pancreatic cancer. We aimed to evaluate SDC1 as a diagnostic and prognostic biomarker in patients with pancreatic ductal adenocarcinoma (PDAC).

METHODS:
In this case-control study, patients newly diagnosed with a biopsy-proven PDAC were enrolled alongside healthy individuals in a derivation-validation cohort design. Serum SDC1 was measured by enzyme-linked immunoassay. The diagnostic accuracy of SDC1 levels for diagnosing PDAC was computed. A unified cohort enriched with additional early-stage patients with PDAC was used to evaluate the association of SDC1 with survival outcomes and patient characteristics.

RESULTS:
In the derivation cohort, serum SDC1 levels were significantly higher in patients with PDAC (n = 39) compared with healthy controls (n = 20) (40.1 ng/mL, interquartile range 29.8–95.3 vs 25.6 ng/mL, interquartile range 17.1–29.8, respectively; P < 0.001). The receiver operating characteristic analysis area under the curve was 0.847 (95% confidence interval 0.747–0.947, P < 0.001). These results were replicated in a separate age-matched validation cohort (n = 38 PDAC, n = 38 controls; area under the curve 0.844, 95% confidence interval 0.757–0.932, P < 0.001). In the combined-enriched PDAC cohort (n = 110), using a cutoff of 35 ng/mL, the median overall 5-year survival between patients below and above this cutoff was not significantly different, although a trend for better survival after 1 year was found in the lower level group (P = 0.06). There were 12 of the 110 patients with PDAC (11%) who had normal CA 19-9 in the presence of elevated SDC1.

DISCUSSION:
These findings suggest serum SDC1 as a promising novel biomarker for early blood-based diagnosis of pancreatic cancer.
Experimental study to enhance the productivity of single-slope single-basin solar still
Authors: Diabil Hayder Azeez Neamah 
Published: March 2022

Abstract
Existence of potable water is considered as one of the important issues that are related to the survival of human life, especially in fresh water scarce areas. So, it is necessary to find a solution to this problem. In the current work, the productivity of fresh water in conventional single-slope single-basin solar still is increased by using two modification methods. The first method is reflecting the solar ray to the still basin by using aluminum foils that are pasted on the interior surfaces of the still walls. This method will enhance the fallen solar rays on basin water and reduce heat losses. The second method increases the evaporation surface area by introducing blackened stainless steel balls with different diameters at the still basin. Balls of two diameters chosen: 5 and 10 mm. The experimental results show that the productivity of solar still with 10 mm-diameter balls is higher than that of the conventional solar still by 38.07%. The corresponding values of the stills with 5 mm-diameter balls and aluminum foils are 31.41 and 14.87%, respectively. The thermal efficiency of the highest productivity solar still is 27.81%. Other stills are characterized by lower thermal efficiencies by various rates.