bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intern Healthcare Students’ Correlation Between Their Career Adaptability and Ability to Manage Emotions During the COVID -19 Pandemic
Authors: Tavsanli Nurgül Güngör , Nehir Sevgi 
Published: January 2022

Abstract
Bacground: The study was conducted to determine the correlate between intern nursing, midwifery, physiotherapy and rehabilitation, and social work healthcare students' career adaptability and their ability to manage emotions during the Covid-19 pandemic.Methods: The sample of this correlational design study consisted of 219 students (nurse, midwifery, social work and physiotherapy and rehabilitation) studying at the Faculty of Health Sciences Undergraduate Program of a University in the fall semester of the 2020-2021 academic year. The study data were collected using the Personal Information Form, Career Adapt-Ability Scale (CAAS) and Courtauld Emotion Control Scale (CECS). The data obtained were analyzed by using the independent samples t-test, ANOVA and correlation tests. The variables included in the regression models were those reporting correlations and those the literature showed as relevant in the analysis.Results: In the study, the participants were determined to tend to suppress and avoid expressing their emotions. Two models contribute to the explained variance of CAAS and CECS regarding COVID-19 with over 50%, and career planning regarding during COVID-19 was explained by 5.1%.Conclusion: The results suggest that male students and social work students should be encouraged during their university education that they could find a job after graduation. It is recommended that students' hope should be enhanced and the topic emotional control should be included in education programs.
Heart Rate Variability Measurement and Mental Model Building Based on Body Area Networks
Authors: Luo Jiasai , Su Yiwei , Lu Yi , Zhang Guo , Pang Yu , Wang Yuanfa , Wang Huiqian , Cui Kunfeng , Jiang Yuhao , Huang Zhiwei 
Published: January 2022

Abstract
Heart rate variability (HRV) is a specific quantitative indicator of autonomic nerve regulation of the heart. The research of HRV can quantify the changes of human mental state. In this paper, an improved differential threshold method was proposed for R wave detection and recognition of ECG signals. The recognition rate was improved by improving the starting position of R wave and the time window function of the traditional differential threshold method. The experimental platform in this paper is a wearable sign monitoring system constructed based on body area networks (BAN) technology. Experimental results showed that the recognition rate of R wave of real-time 5min ECG data collected by this algorithm was more than 99%. Then, analytic hierarchy Process (AHP) was used to construct the mental stress assessment model, and the weight judgment matrix was constructed according to the influence degree of HRV analysis parameters on mental stress, and the consistency check was carried out to obtain the weight value of the corresponding HRV analysis parameters. Finally, comparative experiment proved that the model can describe the mental stress of the body quantitatively.
Estimation of child undernutrition for spatiodemographic small domains in Bangladesh An application of multilevel Bayesian model
Authors: Das Sumonkanti , Baffour Bernard , Richardson Alice 
Published: January 2022

Abstract
Micro-level statistics on child undernutrition are highly prioritized by stakeholders for measuring and monitoring progress on the sustainable development goals. In this regard district-representative data were collected in the Bangladesh Multiple Indicator Cluster Survey 2019 for identifying localised disparities. However, district-level estimates of undernutrition indicators - stunting, wasting and underweight - remain largely unexplored. This study aims to estimate district-level prevalence of these indicators as well as to explore their disparities at sub-national (division) and district level spatio-demographic domains cross-classified by children sex, age-groups, and place of residence. Bayesian multilevel models are developed at the sex-age-residence-district level, accounting for cross-sectional, spatial and spatio-demographic variations. The detailed domain-level predictions are aggregated to higher aggregation levels, which results in numerically consistent and reasonable estimates when compared to the design-based direct estimates. Spatio-demographic distributions of undernutrition indicators indicate south-western districts have lower vulnerability to undernutrition than north-eastern districts, and indicate significant inequalities within and between administrative hierarchies, attributable to child age and place of residence. These disparities in undernutrition at both aggregated and disaggregated spatio-demographic domains can aid policymakers in the social inclusion of the most vulnerable to meet the sustainable development goals by 2030.
Association of Eyelid Disorders and Ocular Motility Disorders in Pediatric Age: an Epidemiologic Analysis. A Multicenter Retrospective Study.
Authors: Ripa Matteo , Cuffaro Giovanni , Pafundi Pia Clara , Valente Paola , Battendieri Remo , Buzzonetti Luca , Mattei Roberta , Rizzo Stanislao , Savino Gustavo 
Published: January 2022

Abstract
Purpose: Aim of the study was to evaluate the prevalence and type of strabismus, ptosis and eyelid dynamic disorders features, to assess the prevalence of refractive errors, amblyopia and the association with ocular/systemic syndromes in a cohort of patients.Methods: Retrospective observational multicenter cohort study enrolling patients with coexisting ocular motility disorders, comitant and incomitant strabismus, ptosis and dynamic eyelid disorders who have never undergone surgery.Results: 137 out of 19.089 patients were enrolled, of which 97 with uniocular and 40 with binocular disease. Isolated congenital ptosis was observed in 84 patients. A polymalformative syndrome was present in almost one third of cases. There was a slight prevalence of esotropia; most patients were hypermetropic. In monocular disease, myopia affected prevalently older patients, who had worse ptosis margin reflex distance and levator function, and significantly higher astigmatism. Amblyopia occurred in 67.4% of the study sub-population. In monocular disease amblyopia was mild in 25.8%, moderate in 24.2% and severe in 11.3%. In binocular disease was mild in 25%, moderate in 41.7% and severe in 16.7%.Conclusions: All patients with coexisting eyelid and ocular motility disfunctions in pediatric age need ophthalmologic and systemic evaluation to accurately assess amblyopia, refractive errors and systemic/ocupollar disorders.
Hiccups and Acute Symptomatic Hyponatremia: A Rare Manifestation of COVID-19.
Authors: Pandey Praveen Kumar , Pandey Divya 
Published: January 2022

Abstract
We report a rare case of a COVID-19 patient presenting with very unusual symptoms.A 62-year-old male presented to ED with complaints of headache, nausea, vomiting, and intractable hiccups for the last 2 days. Labs showed that he had profound hyponatremia (Na+ 103 mEq/L) and hypokalemia (K+ 2.3 mEq/L). And RT-PCR was positive for COVID-19.He was treated with IV bolus of 3% Normal Saline and continuous infusion thereafter. The patient was discharged after 8 days when the electrolytes returned to normal and symptoms resolved.
Treatment of Massive Hemoptysis After Thoracic Aortic Aneurysm Repair
Authors: Morimura Fumio , Hamamoto Kohei , Edo Hiromi , Ishida Osamu , Tsustsumi Koji , Tamada Soichiro , Kuwamura Hiroshi , Enjoji Yasuhiro , Suyama Yohsuke , Sugiura Hiroaki , Watanabe Sadahiro , Ozaki Ippei , Shinmoto Hiroshi 
Published: January 2022

Abstract
Background: Massive hemoptysis after thoracic aortic aneurysm (TAA) repair is a rare but potentially lethal condition. Endovascular management a challenging treatment option due to the complexity of culprit vessel access.Case presentation: An 81-year-old woman was referred to our hospital with massive hemoptysis. She had a history of graft replacement and thoracic endovascular aortic repair (TEVAR) for dissecting TAA. Computed tomography (CT) showed massive atelectasis with hematoma in the left lower lung lobe adjacent to the descending aortic aneurysm treated with TEVAR. Contrast-enhanced CT revealed a pseudoaneurysm and proliferation of abnormal vessels at the peripheral side of the left pulmonary ligament artery (PLA) in the atelectasis. The PLA continued to the right subscapular artery via a complex collateral pathway. Diagnostic angiography of the right subcapsular artery revealed a pseudoaneurysm and abnormal vessels at the peripheral side of the left PLA with a systemic-pulmonary artery shunt. Transcatheter arterial embolization (TAE) for the left PLA via the collateral pathway with N-butyl cyanoacrylate achieved complete embolization. The patient’s hemoptysis was controlled and she was discharged.Conclusions: Here we presented a case of massive hemoptysis due to PLA disruption that occurred after TAA repair. TAE via a complex collateral pathway is a feasible and effective treatment for hemoptysis, even in patients who have undergone surgical or endovascular TAA repair.
Engineered Non-Covalent Π Interactions as Key Elements for Chiral Recognition
Authors: Jin Ming Yu , Zhen Qianqian , Xiao Dengmengfei , Tao Guanyu , Xing Xiangyou , Yu Peiyuan , Xu Chen 
Published: January 2022

Abstract
Molecular recognition and self-assembly are often mediated by intermolecular forces involving aromatic π-systems. Despite the ubiquity of such interactions in biological systems and in the design of functional materials, the elusive nature of aromatic π interaction results in that they have been seldom used as a design element for promoting challenging chemical reactions. Described here is a well-engineered catalytic system into which non-covalent π interactions are directly incorporated. Enabled by a lone pair-π interaction and a π-π stacking interaction operating collectively, efficient chiral recognition is successfully achieved in the long-pursued dihydroxylation-based kinetic resolution. Density functional theory calculations shed light on the crucial role played by the lone pair-π interaction between the carbonyl oxygen of the cinchona alkaloid ligand and the electron-deficient phthalazine π moiety of the substrate in the stereoselectivity-determining transition states. This discovery serves as a proof-of-principle example showing how the weak and unpredictable non-covalent π interactions, if ingeniously designed, could be a powerful guide in attaining highly enantioselective catalysis.
Metal-Organic Frameworks (MOFs); A Promising Approach to Combat SARS-CoV-2
Authors: Dahri Mohammad , Sadeghi Mohammad Moein , Abolmaali Samira Sadat 
Published: January 2022

Abstract
The COVID-19 causative agent, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has a critical surface protein called spike protein (S protein), which is the target of many vaccines and drugs developments. Among non-structural proteins of SARS-CoV-2, main protease (Mpro) has drawn much attention to itself for designing antiviral drugs since it is very crucial for the virus replication in host cells. In the first part of the present study, the application of metal-organic frameworks (MOFs), one of the developing nanomaterials in the deformation and consequently inhibition of S protein binding to the receptor, angiotensin-converting enzyme 2 (ACE 2), is investigated. In this line, various S protein inhibitors were designed virtually, including ZIF, UIO, and IRMOF that their interactions with S protein and were investigated using molecular dynamics (MD) simulation. The results revealed that ZIF is the best candidate among the investigated MOFs with the least amount of energy interference with S protein. In the second part, the interaction of three-dimensional (3D) MOFs (such as ZIF, IRMOF, and HKUST) with SARS-CoV-2 Mpro was investigated. HKUST had the most potent interaction with Mpro and showed more promise in deforming this protein's secondary structure among all materials tested. Furthermore, we investigated the interaction of HKUST-OH with Mpro to determine the effect of functionalization. The findings of this study could be used in future studies to introduce bioconjugates of MOFs and biological molecules (e.g., antibody or nanobody) or to use MOFs as carriers for antiviral drug delivery.
Development of stepwise m5 tree model to determine the influential factors on rainfall prediction and overcome the greedy problem of its algorithm
Authors: Ghorbani Khalil , Salarijazi Meysam , Ghahreman Nozar 
Published: January 2022

Abstract
Large scale climatic phenomenon which has a delayed effect may be used as important variables for stepwise prediction of rainfall, but the interaction of these signals on the occurrence of rainfall leads to non-linear, complex nature of relations. A model tree is a promising tool for modeling complex systems and recognition of most significant variables. The model tree approach uses a greedy algorithm in which the increased number of variables does not necessarily improve the accuracy of the model, hence the model should be run stepwise. In this study, a stepwise M5 model tree was used in the prediction of annual rainfall in Hashem Abad station, north of Iran, using observed data and 17 climatic signals during the 1985-2019 period to determine the most significant variables. For this purpose, 131017 subsets consisting of 17 members were produced, and the M5 model tree was fitted on each of them. The best combination of variables with the highest accuracy simulated the rainfall with 36mm error (less them 5-6%) and a correlation coefficient of 94%. Among the climatic signals, the Sun Spot (SP) was placed in tree root (most significant), the Nino 4, EA and NAO were ranked as the other significant predictors respectively. The results also indicated that due to the nature of rainfall variations and the greedy algorithm of the M5 model, it is necessary to perform stepwise modeling. The delayed effects of teleconnections may be considered as a suitable feature for early prediction of next year's rainfall and capturing the inter-annual variation.
Optimization of ACF-DSR-based joint Doppler shift and SNR estimator for Internet of Vehicle system
Authors: Wen Jiangang , Yan Lei , Feng Xiaofei , Ni Zhengwei , Hua Jingyu , Xu Zhijiang 
Published: January 2022

Abstract
Accurate vehicle speed estimation is required for intelligent internet of vehicles, and it can be realized by Doppler shift estimation in mobile communication. In this paper, the ACF(autocorrelation function)-DSR(double sampling rate) method for joint Doppler shift and SNR estimation is further investigated. Based on the analysis of ACF, an improved algorithm model taking into account of estimation deviation is formulated. Then, the effects of sampling intervals in DSR are figured out by mean square error analysis of estimation, and two better choices are obtained. By Monte Carlo simulations, it is demonstrated that the optimized ACF-DSR method with better choice of sampling intervals can achieve better estimation and outperform previous methods.
A Non-covalent KRASG12D Allele Specific Inhibitor Demonstrates Potent Inhibition of KRAS-dependent Signaling and Regression of KRASG12D-mutant Tumors
Authors: Christensen James , Hallin Jill , Bowcut Vickie , Calinisan Andrew , Briere David , Hargis Lauren , Engstrom Lars , Laguer Jade , Medwid James , Vanderpool Darin , Lifset Ella , Trinh David , Hoffman Natalie , Wang Xiaolun , Lawson J. , Gunn Robin , Smith Christopher , Thomas Nicole , Martinson Matthew , Bergstrom Alex , Sullivan Francis , Bouhana Karyn , Winski Shannon , He Leo , Julio Fernandez-Banet , Pavlicek Adam , Haling Jacob , Rahbaek Lisa , Marx Matthew , Olson Peter 
Published: January 2022

Abstract
The ability to effectively target mutated KRAS has remained elusive despite decades of research. The recent identification of KRASG12C inhibitors has provided an effective treatment option for patients harboring this particular mutation and has also provided insight toward targeting other KRAS mutants, including KRASG12D. MRTX1133 was identified via a structure-based drug design (SBDD) strategy as a potent, selective, and non-covalent KRASG12D inhibitor directed at the switch II binding pocket. MRTX1133 demonstrated a high-affinity interaction with KRASG12D with KD or IC50 values each determined at ~0.2 pM or <2 nM using SPR direct binding or HTRF competition assays, respectively. MRTX1133 also demonstrated ~700-fold selectivity for KRASG12D vs KRASWT binding utilizing SPR. Interestingly, MRTX1133 demonstrated potent inhibition of active KRASG12D using an HTRF effector interaction assay with a IC50 value of 9 nM. Insight toward the structural basis of binding of MRTX1133 to both the inactive GDP-bound and active GMPPCP-bound conformations of KRASG12D is also provided by co-crystal structures. MRTX1133 demonstrated potent inhibition of ERK1/2 phosphorylation and cell viability in KRASG12D-mutant cell lines with median IC50 values of ~5 nM. Consistent with binding affinity determination in cell-free systems, MRTX1133 demonstrated >1000-fold selectivity for inhibition of ERK1/2 phosphorylation in KRASG12D-mutant cell lines compared with KRASWT cell lines. Dose-dependent inhibition of KRAS-mediated signal transduction was also observed in multiple KRASG12D-mutant tumor models in vivo. MRTX1133 demonstrated marked tumor regression (>30%) in a subset of KRASG12D-mutant cell line- and patient-derived xenograft (PDX) models, including 8 out of 11 (73%) pancreatic ductal adenocarcinoma (PDAC) models evaluated. Pharmacological studies and CRISPR-based screens demonstrated co-targeting KRASG12D in concert with putative feedback or bypass pathways including EGFR and PI3Kα led to enhanced anti-tumor activity relative to targeting each individual protein. Together, these data indicate the feasibility of utilizing SBDD approaches to selectively target alternative KRAS mutant variants with non-covalent, high-affinity small molecules targeting either the active or inactive state of KRAS. In addition, these data illustrate the therapeutic susceptibility and broad dependence of KRASG12D mutation-positive tumors, including PDAC, on KRAS for tumor cell growth and survival.
UV-Chemometric Method Development for Resolving The Overlapped Spectra of Aspirin, Caffeine and Orphenadrine Citrate in Their Ternary Pharmaceutical Dosage Form
Authors: sebaiy mahmoud , Mattar Amr A. , El-Adl Sobhy M. 
Published: January 2022

Abstract
A simple, specific, accurate and precise UV-chemometric methods have been developed for the analysis of aspirin, caffeine and orphenadrine citrate in their ternary mixture form without prior separation. CLS, PLS and PCR were developed for simultaneous determination of the three drugs together by using different sets of data in which better results were produced. Unfortunately, PLS method was the only method which was able to determine them accurately. The validity of these chemometric methods has been carried out by 8 synthetic mixtures for determination of the power of prediction for each method. Latent variable number is different from one model to another with changing the set of data. Predicted residual error sum of squares (PRESS) and root mean square error of prediction (RMSEP) were used for comparison between different methods and for determination the predictive power of each set of data. In addition, statistical comparison between the proposed chemometric methods was performed.
Towards An Integrated Blood Pressure Self-Monitoring SolutIoN for Stroke/TIA in Ireland: A Mixed Methods Feasibility Study for the TASMIN5S IRL Randomised Controlled Trial
Authors: Doogue Roisin , Hayes Peter , Hebert Robin , Sheikhi Ali , Rai Tanvi , Morton Kate , Roman Cristian , McManus Richard J , Glynn Liam G 
Published: January 2022

Abstract
Background
Optimising Blood Pressure (BP) control is one of the most important modifiable risk factors in preventing subsequent stroke where the risk increases by one-third for every 10 mmHg rise in systolic BP. The aim of this study was to evaluate the feasibility and effects of blood pressure self-monitoring with planned medication titration, in patients with a previous stroke or transient ischaemic attack (TIA).
Methods
Patients with a history of stroke/TIA and sub-optimal BP control, were invited to take part in a mixed methods feasibility study for a randomised controlled trial. Those meeting the inclusion criteria with systolic BP >130 mmHg, were randomised to a self-monitoring intervention group or usual care group. The intervention involved self-monitoring BP twice a day for 3 days within a 7-day period, every month, following text message reminders. Treatment escalation, based on a pre-agreed plan by the General Practitioner (GP) and patient, was initiated according to the results of these readings. Semi-structured interviews were carried out with patients and clinicians, and analysed thematically.
Results
Of those identified, 47% (32/68) attended for assessment. Of those assessed, 15 were eligible for recruitment and were consented and randomised to the intervention or control group on a 2:1 basis. Of those randomised, 93% (14/15) completed the study and there were no adverse events. Systolic BP was lower in the intervention group at 3 months. Participants found the intervention acceptable and easy to use. GPs found it easy to incorporate into their practice activity without increasing workload.
Conclusions
TASMIN5S, an integrated blood pressure self-monitoring intervention in patients with a previous stroke/ TIA is feasible and safe to deliver in primary care. A pre-agreed three step medication titration plan was easily implemented, increased patient involvement in their care, and had no adverse effects. This feasibility study provides important information to inform a definitive trial to determine the potential effectiveness of the intervention in patients post stroke or TIA.
Trial Registration:
ISRCTN57946500, registered on the 12/08/2019. https://doi.org/10.1186/ISRCTN57946500
The Effect of Salvia Officinalis Disinfectant on Biological Characteristics
Authors: Alsewidi Wsan Mohammed 
Published: January 2022

Abstract
Background: Polymethyl methacrylate (PMMA) and methyl methacrylate have been the most frequently utilized polymers in acrylic resin manufacturing (MMA). Bioactivity is extremely important in restorative dentistry as well as other composite resins. Methods: The bioactivity of the substances was determined by comparing them to the control materials. Rabbits were implanted subcutaneously. A total of fifty samples are produced, with five samples for every one of the five time intervals. A biological investigation Following One day, three days, one week, two weeks, then four weeks, incision tissues are obtained. On a microscopic level, with the progression of such a tissue response in connection to the infection, the number of inflammatory cells was employed as a metric. Stuff that has been thoroughly examined in contrast to the reference, the biological characteristics of the prepared material are assessed. Acrylic resin is used as a prosthesis basis, samples were divided into two categories: Group1: Poly methyl methacrylate + methyl methacrylate as a control group. Group 2: Is made up of 75% poly methyl methacrylate and 25% salvia officinalis extracts as experiment. Results: The average score numbers of the study and positive control sections did not change significantly following three, one week, two weeks, or four weeks. Conclusion: Salvia Officinalis Extracts is biocompatible comparable to that of methyl methacrylate.