bluuebunny/crossref_metadata_2025_split huggingface dataset:
Views on patient portal use for adolescents in mental health care - a qualitative study
Authors: Nielsen Martine Stecher , Steinsbekk Aslak , Nøst Torunn Hatlen 
Published: November 2022

Abstract
Background
Digitalization of health care has opened up for new ways to involve and engage patients. With this, increased attention has been put on digital patient portals. There exists some research on patient portals for adolescent patients in general and for adults in mental health care. However, no studies on patient portals for adolescents in mental health care have been identified in a recent review. The aim was therefore to explore the views on using patient portals for adolescents in mental health care among persons involved in and/or being affected by the introduction of a patient portal.
Methods
A qualitative study was conducted using individual semi-structured interviews with 14 persons who were healthcare providers in child and adolescent mental health care, young representatives from the user panel, or persons affiliated with an EHR-project introducing a patient portal. The main questions addressed their views on introducing patient portals for adolescents in mental health care and how patient portals and access to clinical notes can affect them and their treatment.
Results
The findings were categorised into four main themes; “Does access to a patient portal help or harm adolescents?”, “Who decides access?”, “Mostly a political goal” and “Need for support and competency”. Informants mentioned situations in which both adolescents’ and parents’ access to a patient portal could help adolescents in mental health care, but also where it could potentially harm their treatment and threaten confidentiality. Most informants thought that healthcare providers should have the autonomy to determine which information should be shared with whom, but also requested guidelines to ensure equal practice and support in difficult situations. Some perceived patient portals as the result of a political decision, rather than healthcare providers´ wishes, while others described it as a necessary development towards democratization.
Conclusion
The informants’ views varied from thinking that a patient portal could support adolescents in mental health care, to worrying that it could be detrimental to the treatment. Informants emphasized that the management should facilitate training and support for healthcare providers in using patient portals and telehealth.
COVID-19 patients in the COVID-19 Recovery and Engagement (CORE) Clinics in the Bronx
Authors: Darrell Megan , Eligulashvili Anna , Miller Carolyn , Lee Jeylin , Congdon Seth , Lee Jimmy S , Hsu Kevin , Yee Judy , Islam Marjan , Duong Tim Q. 
Published: November 2022

Abstract
BACKGROUND: Early in the pandemic, we established COVID-19 Recovery and Engagement (CORE) Clinics in the Bronx and implemented a detailed evaluation protocol was implemented to assess physical, emotional, and cognitive function, pulmonary function tests, and imaging for COVID-19 survivors. Here we report our findings five months post-acute COIVD-19.
METHODS: Main outcomes and measures included pulmonary function tests, imaging tests, and a battery of symptom, physical, emotional, and cognitive assessments 5 months post-acute COVID-19.
FINDINGS: Dyspnea, fatigue, decreased exercise tolerance, brain fog, and shortness of breath were the most common symptoms but there were generally no significant differences between hospitalized and non-hospitalized cohorts (p>0.05). Many patients had abnormal physical, emotional, and cognitive scores, but most functioned independently; there were no significant differences between hospitalized and non-hospitalized cohorts (p>0.05). Six-minute walk test, lung ultrasound, and diaphragm excursion were abnormal but only in the hospitalized cohort. Pulmonary function tests showed moderately restrictive pulmonary function only in the hospitalized cohort but no obstructive pulmonary function. Newly detected major neurological events, microvascular disease, atrophy, and white-matter changes were rare, but lung opacity and fibrosis-like findings were common after acute COVID-19.
INTERPRETATION: Many COVID-19 survivors experienced moderately restrictive pulmonary function, and significant symptoms across the physical, emotional, and cognitive health domains. Newly detected brain imaging abnormalities were rare, but lung imaging abnormalities were common. This study provides insights into post-acute sequelae following SARS-CoV-2 infection in neurological and pulmonary systems which may be used to support at-risk patients, develop effective screening methods and interventions.
Estimation of IRNSS-retrieved integrated precipitable water over a few locations in India
Authors: Jaiswal Rajasri Sen , K Thirumala Lakshmi 
Published: November 2022

Abstract
We estimated integrated precipitable water (IPWV) over a few locations in India, namely Bhubaneswar, Gadanki, Goa, Kanakapura, and Kolkata, from the tropospheric slant delay (TSD) obtained from the Indian Regional Navigation Satellite System (IRNSS). We attempted to find the factors that control the IPWV. We show that the total solar irradiance (TSI) controls IPWV beyond doubt. The latter is best explained as a function of surface temperature (ST), surface pressure (SP), relative humidity (RH), and TSI. We present the functional relations between these meteorological elements and IPWV. Besides, we discuss the evolution of IPWV with the advance of northeast and southwest monsoon. The locations on the East Coast show characteristics of meteorological elements different from locations on the West Coast of India. The dynamicity of the mutual relations between these elements depends on the season and geography of a location. IRNSS-retrieved IPWV along the zenith over a location shows a good agreement with radiosonde-retrieved IPWV.
Adaptive finite-time fault-tolerant control for quadrotor trajectory tracking systems under a novel smooth event-triggered mechanism
Authors: Zhu Wenxing , Wang Lihui 
Published: November 2022

Abstract
This article proposes an adaptive finite-time fault-tolerant control scheme based on a smooth event-triggered mechanism for quadrotor trajectory tracking systems subject to actuator faults and external disturbances. The novel finite-time performance function guarantees the tracking errors are convergent within a prescribed time. The smooth event-triggered mechanism is proposed to overcome the discontinuous triggered signals and decrease transmission resource consumption. Meanwhile, the Zone behavior can be excluded by the positive sampling intervals. Then, the radial basis function (RBF) neural networks are utilized to deal with the model uncertainty, and the adaptive laws are designed to estimate the unknown actuator failures effectively. Finally, an adaptive controller based on the novel time-varying barrier Lyapunov function (BLF) is proposed, and rigorous theoretical analyses are conducted to demonstrate that the tracking errors are convergent within the finite time. Simulation experiments verify the effectiveness of the proposed control scheme.
Total hip arthroplasty with transverse subtrochanteric osteotomy and monocortical locking plate for the treatment of Crowe Ⅳ developmental dysplasia of the hip
Authors: Xu wenting , Gu Guoqing , Zheng Guoqing , Lu Chunde , Ni Cheng 
Published: November 2022

Abstract
Background
To explore the technique and the clinical results of total hip arthroplasty ( THA ) with transverse subtrochanteric osteotomy and monocortical locking plate for Crowe type Ⅳ developmental dysplasia of the hip ( DDH ).
Methods
From April 2015 to April 2019, 21 patients ( 23 hips ) with Crowe Ⅳ DDH were treated by the technique of THA with transverse subtrochanteric osteotomy and monocortical locking plate. Postoperative clinical and radiological results were evaluated.
Results
All of the patients were followed up for the average of 33 months. All patients had no osteotomy nonunion, infection, prosthesis loosening and vascular nerve injury. 1 patient experienced dislocation one week after the operation because of bad posture. Harris score changed from 35.6 points ( 25–51 ) before surgery to 88.1 points ( 76–96 ) after surgery.
Conclusions
THA with transverse subtrochanteric osteotomy and monocortical locking plate internal fixation for the patients with Crowe type Ⅳ DDH is an effective way.
Sharing of Best Practices from an Emergency Medical Team Deployment in Papua New Guinea: Piloting a Health Promotion Program Targeting COVID-19 Vaccine Uptake
Authors: Maddah Diana , Vadi Ramnath , Marmont Lizzi , Hallit Souheil , Mohammad Mariam 
Published: November 2022

Abstract
Background
COVID-19 tremendously affected Papua New Guinea in late 2021, which accompanied by a low vaccination rate (< 4%), lead to an International Emergency Medical Team (EMT) Request for Assistance. The study's aim was to assess the knowledge, skills and attitude of health-care workers (HCWs) before and after a workshop conducted by the UK EMT in developing best practices related to Risk Communication and Community Engagement (RCCE) integration within a COVID-19 emergency response.
Methods
A participatory workshop was piloted in Western Highland Province among 71 HCWs. Training of trainers’ approach was adopted to build the capacity of health workers in advocating for vaccines uptake. A perception survey was used at the baseline and at the end of the workshop to assess the knowledge, skills, and attitude of the participants towards COVID-19 vaccine acceptance.
Results
The healthcare professionals were not well equipped with accurate, scientific, and up-to-date information related to COVID-19 vaccines, which led to concern and fear among them. HCWs reported being a source of information for community members about COVID-19 vaccines. The paired t-test showed a significant increase in the knowledge, skills, and attitude of the participants toward COVID-19 vaccines after the workshop. Participants described being ready to engage community influencers and cascade training to further reach out to community groups
Discussion
Integrating RCCE within EMT deployments plays a crucial role in leveraging healthcare capabilities to influence community members and advocate for COVID-19 vaccines uptake; which will ultimately decrease morbidity and mortality.
Food Inventory Demand Forecasting Tool
Authors: B Kavya , R Deetchika , V Radhamani , D Manju 
Published: November 2022

Abstract
In today’s modern world, people are busy and food is mandatory for them to live. Food service providers help people by offering them good food. But they face a problem with inventory forecasting. Food inventory demand forecasting is a key component to food service providers. Food companies are more concerned with products having a short shelf-life and seasonal changes. The demand may depend on many hidden contexts and seasonal changes which remains to be non-trivial. In this paper we present an ensemble learning approach that employs dynamic integration of regressor for better handling of fluctuations in consumer demands. Demand forecasting is the process in which historical data is used to estimate the quantity of food item customer will purchase based on location, cuisine etc., It can be nearly impossible to have the required number of raw materials on hand for the preparation of food at any given time without proper demand forecasting processes. A food delivery service must deal with a lot of raw materials which are likely to decay, so it is important for such a company to accurately forecast daily and weekly demand. More inventory in the warehouse means more risk of wastage, and not enough inventory leads to out-of-stocks and push customers to seek solutions from the competitors. This decision tool is developed using Streamlit where the demands needed by the customers is forecasted using ensemble method named Random Forest in Machine Learning models, evaluated by Root Mean Squared Logarithmic Error (RMSLE) and visualized the forecasted data using Power BI.
Star-Polymer Unimolecular Micelles for Brain Specific Delivery of Anticancer Drug
Authors: Malhotra Mehak , Pardasani Meenakshi , Srika Priyadharshini , Abraham Nixon , jayakannan Manickam 
Published: November 2022

AbstractNanocarrier mediated therapeutic delivery to brain tissue remains an impediment by tightly controlled transportation across the blood brain barrier (BBB). Here, we report a well-defined core-shell star-shaped unimolecular micelle (star-UMM) based on biodegradable polycaprolactone platform as an efficient BBB breaching nanovector for brain specific administration of anticancer drug doxorubicin (DOX) andin vivobioimaging via near-infrared biomarker IR780. The star-UMM was engineered by controlling the polymer topology of hydrophobic and hydrophilic segments from interior to exterior.In vivoimaging in mice was directly evident of prolonged blood circulation of star-UMM for more than 72 h, and the whole-organ image-quantification further substantiated its efficient BBB breaching ability. Star UMM having 15% of DOX exhibited excellent stability in blood circulation, reduction in cardiotoxicity, substantial uptake in the cortical neurons of mouse brain, lysosomal enzymatic-biodegradation, and negligible immunogenicity or necrosis; hence, proving the impact of the star UMM in brain-specific drug delivery.
Optimizing piezoelectric vibration-based energy harvester using numerical-analytical method and soft computing algorithms
Authors: Babaei Alireza , Parker Johne , Moshaver Paria 
Published: November 2022

Abstract
Tuning and optimizing of piezoelectric vibration-based energy harvesters (PVEH) is essential to render sufficient amount of energy. As a modification to the tuning mass and dynamic magnifier of conventional PVEH, a novel integrated multisystem of cantilever-oscillator-spring is proposed in which the vibratory analysis discloses significant mutation in resonance frequency depending on the oscillator mass and spring constant values, showing hyper-tuning capability. Obtaining the maximum extractable amount of electric voltage is the ultimate goal which is an optimization problem with oscillator mass and spring stiffness as design parameters. The extended Hamilton’s principle along with the Galerkin modal decomposition techniques are adopted to find analytical-numerical response of the system undergoing harmonic base excitations. To optimize the voltage frequency response function (FRF), global evolutionary optimization algorithm is adopted. The closed-form voltage function is a hard-to-evaluate and computationally-expensive function. To overcome such issues, soft computing techniques is adopted. Using adaptive neuro fuzzy logic (ANFIS), a regressor model is designed to execute function evaluations in the genetic optimization procedure. Fuzzy inference system (FIS) is developed using 64 fuzzy ules derived from Gaussian and Gaussian-Bell shaped membership functions (MFs). Such a regressor model is utilized in the genetic algorithm launching with 200 iterations and 50 populations. It is observed that using roulette wheel, tournament, and random selection methods; rs= 100, rm= 2 are found as the optimal design parameter values. To validate the correctness of the implemented soft computing algorithm; the optimal voltage FRF is obtained using the closed-form analytical-numerical solution and compared with random case studies. It is shown that the nominated optimal values render the most obtainable amount of voltage. Eventually, it is inferable that the spring-mass subsystem integration with the cantilever energy harvester, drastically improves the amount of harnessed voltage. Furthermore, optimization of such integrated multi-system via soft computing techniques results in the maximum amount of harvestable voltage.
Determination of benzoylurea insecticides in juice and water samples by high performance liquid chromatography after dispersive solid phase extraction with MOF based sorbent
Authors: Feng Zhi , Liu Li , Hadrai Ahmed , Motlak Mahmoud 
Published: November 2022

Abstract
In this study, an effective graphene oxide-metal organic framework (GO-MOF(801)) sorbent was employed for the detection of benzoylurea insecticides (BUs) in aqueous solution using high performance liquid chromatography (HPLC). The optimal extraction parameters for the suggested dispersive solid phase extraction (DSPE) include sorbent dose = 20 mg, elution solvent = dichloromethane, solution pH = below 7.0 and sonication time = 3 min. The linear dynamic ranges and detection limits for BUs samples under above extraction conditions were ranged from 0.5–250 µg L− 1 and 0.1–1.11 µg L− 1, respectively. Moreover, the proposed DSPE/HPLC assay was employed for the monitoring of insecticides in river water and grape juice samples. The obtained recoveries of the targets were between 94.0 and 106.0% and relative standard deviation (RSD) values were less than 7.5%. The application of the GO-MOF(801) as a sorbent in DSPE of insecticides analytes showed to be reliable and sensible methodology for BUs monitoring in different real samples.
Seasonal variations of river and lake water surface areas at global scale
Authors: Carbonneau Patrice , Bizzi Simone 
Published: November 2022

Abstract
Much progress has been made over the last decade to build global inventories of freshwater resources. However, existing freshwater inventories are generally produced for a fixed period in time and/or do not discriminate lakes from rivers. The emergence of deep learning methods and Big Data platforms such as Google Earth Engine offers a potential solution. Here we present a unique raster dataset at 10 m spatial resolution which classifies freshwater into rivers and lakes for a study site covering 89% of the terrestrial landmass and for the months of April, July and October 2021. This data gives us the first global-scale direct count of lakes larger than 1 hectare as ~7.3 million. We also present the first intra-annual ranges for the areas distinctly occupied by rivers and lakes where we find that basins influenced by the Asian summer monsoon (e.g. the Ganges) closely followed by the Amazon display the largest intra-annual range of river area per unit basin area. Finally, we find that whilst maximum of lake water surface occurs in October 2021, the maximum river surface is in July 2021 leading us to conclude that the global maximum occurrences of river water and lake water are not synchronous.
Identification of key genes and Construction of miRNA-mRNA regulatory network in Psoriasis based on Bioinformatics Analysis
Authors: Chen Lu , Wang Xiaochen , Liu Chang , Qiu Wenhong , Guo Kaiwen 
Published: November 2022

Abstract
Background
Psoriasis is a chronic inflammatory skin disease with a long course of disease and a tendency to relapse, and the pathogenesis is not completely clear. This article aims to identify the key differentially expressed genes and miRNAs of PS, construct the core miRNA-mRNA regulatory network, and to explore its underlying molecular mechanism through integrated bioinformatics approaches.
Methods
Two gene expression profile datasets (GSE166388 and GSE153007), and two microRNA (miRNA) expression profile datasets (GSE115293 and GSE145305) were downloaded from the Gene Expression Omnibus (GEO) database and analyzed by GEO2R. Intersection differentially expressed genes (DEGs) and intersection differentially expressed miRNAs (DEMs) were screened, respectively. Metascape database was used to enrich the analysis of intersection DEGs and to explore their functions. Target genes of differentially expressed miRNAs were predicted by the online database miRNet. The protein–protein interaction files of intersection target genes were obtained by String, and the miRNA-mRNA network was constructed by Cytoscape software. In addition, the CIBERSORT online web tool was used to analyze the immune infiltration of the dataset GSE166388, and the relative abundance of 22 immune cells in the disease and normal control tissues was calculated and evaluated.
Results
A total of 660 intersection DEGs (397 upregulated mRNAs and 263 downregulated mRNAs) and 9 intersection DEMs (5 upregulated miRNAs and 4 downregulated miRNAs) were screened. 340 intersection dysregulated genes from 660 intersection DEGs and 7232 miRNA target genes were identified. The miRNA-mRNA regulatory network was constructed and the Top10 elements were obtained by CytoHubba, including hsa-miR-155-5p, hsa-miR-497-5p, hsa-miR-132-3p, hsa-miR-125b-5p, CDK1, CCNA2, CCNB1, STAT1, BUB1, and NCAPG.
Conclusion
In this study, the miRNA-mRNA core regulatory pairs formed by hsa-miR-155-5p, hsa-miR-497-5p, hsa-miR-132-3p, hsa-miR-125b-5p, CDK1, CCNA2, CCNB1, STAT1, BUB1, and NCAPG may be involved in PS in the progress. This study provides new insights for the discovery of new potential targets and further study of the molecular mechanism of PS.
Decision-Making Preferences in a Palliative Setting in Jordan
Authors: Shamieh Omar , Alarjeh Ghadeer , Qadire Mohammad , Nasser Mahmoud Abu , Abu-Farsakh Fadi , Al-Hawamdeh Abdulrahman , Alomari Mohammad , Amin Zaid , Alrjoob Waleed , Ayad Omar , Taba’a Amal Al , Hui David , Bruera Eduard , Yennu Sriram 
Published: November 2022

Abstract
Purpose
Understanding patients' decision-making preferences is crucial to enhancing patients’ outcomes. The current study aims to identify Jordanian advanced cancer patients’ preferred decision-making and to explore the associated variables of the passive decisional making preference.
Methods
We used a prospective cross-sectional survey design. Patients with advanced cancer referred to the palliative care clinic at a tertiary cancer center were recruited. We measured patients’ decision-making preferences using the Control Preference Scale. Patients’ satisfaction with decision-making was assessed with the Satisfaction with Decision Scale.
Results
A total of 200 patients completed the survey. Patients' median age was 49.8 years, 57.5% were female. Of them, 81 (40.5%) preferred passive decisional control, 35% (n=70) and 24.5% (n=49) preferred shared and active decision control respectively. Less educated females were found to have a statistically significant association with passive decisional control preferences. Around 84% (n = 168) of participants were satisfied with the way the decisions were made, 82% (n = 164) of patients were satisfied with the actual decisions made, and 71.5 % (n = 143) were satisfied with the shared information. The agreement level between decisional-making preferences and actual decisional practices was significant (ⱪ coefficient = 0.69; 95% CI = 0.59 to 0.79).
Conclusion
The study's results demonstrate that a passive decision control preference was prominent among patients with advanced cancer in Jordan. Further studies are needed to evaluate decision control preference for additional variables throughout the cancer illness trajectory to inform policies and improve practice.