bluuebunny/crossref_metadata_2025_split huggingface dataset:
WITHDRAWN: Impact of the surface roughness on the net lift of a compressible slider including the effect of wear
Authors: FOURT Erwan , ARGHIR Mihai 
Published: July 2023

Abstract
The paper deals with the impact of surface roughness on the net lift of a compressible slider. The problem appears for gas seals and aerodynamic bearings operating at very low film thickness during start-up and shutdown. By using a Weibull distribution of the thin film heights, the influence of the surface roughness is tackled by analyzing the impact of its standard deviation, of its autocorrelation length and of its shape parameter. This latter enables to simulate new and worn surfaces. The analysis is statistically performed by reporting average values and standard deviations for all values of the net lift force. Both an inclined and a parallel rough slider are analyzed. The results show that the compressible thin film flow between two very closely spaced surfaces (convergent or parallel) can generate a net lift that increases with the standard deviation of the combined roughness and decreases for worn surfaces. The lift effect is explained by the high compressibility of the lubricant (air in this case) which generates higher pressures than the under-pressures with respect to the ambient level.
Evaluating the Effect of Olfactory Training on Improving the Sense of Smell in Patients with COVID-19 with Olfactory Disorders: A Randomized Clinical Trial Study
Authors: Akbarpour Mohammad Hossein , Zandi Mitra , Sedighi Ladan , Ghalesari Mojtaba Ghanbari 
Published: July 2023

Abstract
Background
The COVID-19 disease is associated with many complications, including the disorder of the sense of smell, which is stable even months after the infection and negatively impacts the patient’s quality of life. Nursing interventions to solve this problem are among the nursing care priorities for these patients. Therefore, this study aimed to determine the effect of olfactory training on improving the sense of smell in patients suffering from olfactory disorders with COVID-19.
Methods
This randomized clinical trial was based on pre-test-post-test type on people who were referred with a positive polymerase chain reaction (PCR) test in Babol, Iran, under the supervision of Babol city health center with the disorder in the sense of smell. A total of 100 patients were selected by the available method and randomly assigned to two intervention and control groups. Both groups completed the Questionnaire of Olfactory Disorders - Negative Statements (QOD-NS) before the intervention. The olfactory training intervention group was exposed to four categories of main scents: phenylethyl alcohol (the smell of roses from rose geranium), eucalyptus (the smell of eucalyptus), citronol (the smell of lemon), and eugenol (the smell of cloves) twice a day, morning, and night for six weeks, rotating for 20 seconds each with a ten-second interval between each scent. After completing the olfactory training course, both groups answered the quality of life questionnaire about smell. Finally, the data were analyzed using SPSS version 21, independent paired t-tests.
Results
The average score of olfactory disorder in patients with COVID-19 before the intervention in the intervention and control groups was 24.32 ± 6.60 and 22.85 ± 8.04, respectively, which did not have a significant difference (P = 0.33). The values reached 19.60 ± 5.74 and 22.52 ± 7.39, statistically significant (P = 0.034).
Conclusion
Olfactory training effectively improved the sense of smell in patients with COVID-19 suffering from olfactory disorders. Therefore, this program should be taught by nurses to improve patients with COVID-19 with olfactory disorders after discharge.
Personalized Prognostic Prediction Tool for High-Grade Neuroendocrine Cervical Cancer: A SEER Database Analysis and Single-Center Validation
Authors: Chen Xiaoyue , Shi Wenpei , Wang Chao , Zhu Haiyan 
Published: July 2023

Abstract
Purpose
Cervical high-grade neuroendocrine carcinoma (CHGNEC) is a rare but highly aggressive cancer. The purpose of this study is to develop a prognostic nomogram that can accurately predict outcomes for CHGNEC patients.
Methods
We analyzed clinical data from the Surveillance, Epidemiology, and End Results (SEER) database of CHGNEC patients, including small cell neuroendocrine carcinoma (SCNEC) and large cell neuroendocrine carcinoma (LCNEC). We investigated patient characteristics and prognosis and developed a prognostic nomogram model for cancer-specific survival in CHGNEC patients. External validation was conducted using real clinical cases from our hospital.
Results
Our study included 306 patients from SEER database, with a mean age of 49.9 ± 15.5 years old. Most of the patients had SCNEC (86.9%). Among them, 170 died from the disease, while 136 either survived or died from other causes. Our final predictive model identified age at diagnosis, stage 1 status, stage 4 status, T1, N0, and surgery of the primary site as independent prognostic factors for CHGNEC. We validated our model using a group of 16 CHGNEC patients who underwent surgery at our center. The external validation showed that the prognostic nomogram had excellent discriminative ability, with an area under the receiver operating characteristic curve (AUC) of 0.76 (95%CI: 0.49-1.00) for the prediction of 3-year cancer-specific survival (CSS) and an AUC of 0.85 (95%CI: 0.62-1.00) for the prediction of 5-year CSS. The Random survival forest model achieved an AUC of 0.80 (95%CI: 0.56-1.00) for 3-year CSS and 0.91 (95%CI: 0.72-1.00) for 5-year CSS, indicating its adequacy in predicting outcomes for CHGNEC patients.
Conclusion
Our study provides an excellent nomogram for predicting the prognosis of CHGNEC patients. The prognostic nomogram can be a useful tool for clinicians in identifying high-risk patients and making personalized treatment decisions.
Comparative Study for effect of Ti, Nb and W incorporation on the Electronic and Optical Properties of Pristine Hafnia (m-HfO 2 ): DFT Theoretical prospective
Authors: Khattab El-Sayed R. , Hassan Walid M. I. , El-Shazly Tamer S. , Ibrahim Magdy A. M. , Rehim Sayed S. Abd El 
Published: July 2023

Abstract
First-principles calculations using the Hubbard approach (DFT + U) with PBEsol correlation were carried out to do comparative study of the effects of the incorporation of 3d, 4d, and 5d metal atoms on the electronic and optical properties of m-HfO2. The incorporation of metal atoms in the crystal structure of HfO2 displaced the band gap edges and downshift conduction band minimum (CBM) which led to band gap tightening as the following 5.24, 3.26, 1.12, and 0.92 eV for HfO2, HfO2:Ti, HfO2:W, HfO2:Nb respectively. The total density of states (DOS) and partial density of states (PDOS) calculations illustrated that the VBM of pristine HfO2 is mainly constructed by O 2p states, while the CBM is constructed mainly by Hf 4d sates. For doped crystals the conduction band minimum (CBM) are mainly constructed by 3d, 4d and 5d sates of Ti, Nb, and W respectively. For pristine HfO2, the results obtained for the real and imaginary parts of dielectric function, reflectivity, and the refractive index show good matching with the available experimental and theoretical findings. For doped systems, there are clear similarity in the effect of the incorporation of Nb (4d metal ) and W(5d metal) on the electronic and optical properties of HfO2, which differed to large extent than the effect of the incorporation of Ti (3d metal). The absorption of HfO2 is duplicated upon Ti atom insertion (HfO2:Ti). The difference between 3d, 4dm and 5d metal doping still need further study to understand it and to know what is better as dopant in tuning electronic and optical properties of this promising metal oxide HfO2 and other metal oxides.
Supporting the implementation of drinking water management systems in New South Wales, Australia
Authors: Huynh Tran T. , Jarvis Leslie , Henderson Wendy , Bradford-Hartke Zenah , Leask Sandy , Gajo Katherine , Tickell Joshua , Wall Katrina , Byleveld Paul 
Published: July 2023

Abstract

Since 2010, New South Wales (NSW) Health has assisted local water utilities to develop and implement risk-based drinking water management systems based on the Australian Drinking Water Guidelines Framework for Management of Drinking Water Quality. This support has benefited regional communities, and especially smaller utilities, by helping to identify and control risks. NSW Health's support projects have resulted in statistically significant improvements across many elements of drinking water management system implementation. Through this program of support, NSW Health has identified possible infrastructure and operational needs and assessed implementation of drinking water management systems. In parallel, NSW Health has worked to assess the risk from Cryptosporidium in drinking water supplies and to develop a formal audit program. Findings from the NSW Health support program informed the development of two NSW Government programs and the commitment of more than $1 billion to help local water utilities address public health and other critical needs. The introduction of risk-based drinking water management systems has driven incremental improvement in drinking water quality management across the state of NSW.
Towards a Systemic Concept of the Brain Ishemia Stroke: Monte Carlo
Driven in silico Model
Authors: Fursov Valentin V. , Ananiev Alexander V. , Kuznetsov Dmitry A. 
Published: July 2023

Background:
The work proposes a new mathematical model of dynamic processes of a typical
spatially heterogeneous biological system, and sets and solves a mathematical problem of modeling
the dynamics of the system of neurovascular units of the brain in conditions of ischemic stroke.
There is a description of only a small number of mathematical models of stroke in the literature. This
model is being studied and a numerical and software implementation of the corresponding mathematical
problem is proposed.

Methods:
This work is the first attempt ever aiming to employ a Monte Carlo computational approach
for In Silico simulation of the most critical parameters in molecular and cellular pathogenesis of the
brain ischemic stroke. In this work, a new mathematical model of the development of ischemic stroke
is proposed in the form of a discrete model based on neurovascular units (NVU) as elements.

Results:
As a result of testing the program with the assignment of empirically selected coefficients,
data were obtained on the evolution of the states of the lattice of the cellular automaton of the model
for the spread of stroke in a region of the brain tissue. A resulting new theoretical model of the particular
pathologically altered biosystem might be taken as a promising tool for further studies in neurology;
general pathology and cell biology.

Conclusion:
For the first time, a mathematical model has been constructed that allows us to represent
the spatial dynamics of the development of the affected area in ischemic stroke of the brain, taking into
account neurovascular units as single morphofunctional structures.
Fenyloketonuria wybrany przykład rzadkiej choroby metabolicznej
Authors: Płoszaj Katarzyna 
Published: July 2023

Wstęp. Fenyloketonuria, choroba metaboliczna, późno zdiagnozowana i nieleczona w odpowiedni sposób prowadzi do ciężkiego kalectwa.
Cel. Celem pracy było przedstawienie charakterystyki fenyloketonurii jako rzadkiej choroby metabolicznej.
Materiał i metody. Metoda zastosowana w pracy to analiza literatury.
Przegląd. Istotą choroby jest brak lub znaczny deficyt aktywności enzymu hydroksylazy fenyloalaninowej (w skrócie PAH), który wytwarzany jest wątrobie. Deficyt prowadzi do zaburzeń przemiany fenyloalaniny (Phe) w tyrozynę. Konsekwencją takiej reakcji jest pojawiająca się w surowicy dziecka nadmierna ilość aminokwasu, co w ostatecznie prowadzi do znacznych uszkodzeń ośrodkowego układu nerwowego.
Wnioski. W dzisiejszych czasach osoby chore na Fenyloketonurię mają ogromne szanse na prawidłowy rozwój intelektualny, a sama choroba nie ma wpływu na poziom wykształcenia czy karierę zawodową. Sukces badań przesiewowych jest niewątpliwie namacalny, gdyż poprzez szybką diagnozę daje szansę chorym pacjentom na normalne życie.
Cardiff Online Cognitive Assessment in a National Sample: Cross-Sectional Web-Based Study
Authors: Lynham Amy Joanne , Jones Ian R , Walters James T R 
Published: July 2023

Background
Psychiatric disorders are associated with cognitive impairment. We have developed a web-based, 9-task cognitive battery to measure the core domains affected in people with psychiatric disorders. To date, this assessment has been used to collect data on a clinical sample of participants with psychiatric disorders.

Objective
The aims of this study were (1) to establish a briefer version of the battery (called the Cardiff Online Cognitive Assessment [CONCA]) that can give a valid measure of cognitive ability (“g”) and (2) to collect normative data and demonstrate CONCA’s application in a health population sample.

Methods
Based on 6 criteria and data from our previous study, we selected 5 out of the original 9 tasks to include in CONCA. These included 3 core tasks that were sufficient to derive a measure of “g” and 2 optional tasks. Participants from a web-based national cohort study (HealthWise Wales) were invited to complete CONCA. Completion rates, sample characteristics, performance distributions, and associations between cognitive performance and demographic characteristics and mental health measures were examined.

Results
A total of 3679 participants completed at least one CONCA task, of which 3135 completed all 3 core CONCA tasks. Performance on CONCA was associated with age (B=–0.05, SE 0.002; P<.001), device (tablet computer: B=–0.26, SE 0.05; P<.001; smartphone: B=–0.46, SE 0.05; P<.001), education (degree: B=1.68, SE 0.14; P<.001), depression symptoms (B=–0.04, SE 0.01; P<.001), and anxiety symptoms (B=–0.04, SE 0.01; P<.001).

Conclusions
CONCA provides a valid measure of “g,” which can be derived using as few as 3 tasks that take no more than 15 minutes. Performance on CONCA showed associations with demographic characteristics in the expected direction and was associated with current depression and anxiety symptoms. The effect of device on cognitive performance is an important consideration for research using web-based assessments.
Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus
Authors: Sacks David B. , Arnold Mark , Bakris George L. , Bruns David E. , Horvath Andrea R. , Lernmark Åke , Metzger Boyd E. , Nathan David M. , Kirkman M. Sue 
Published: July 2023

BACKGROUND
Numerous laboratory tests are used in the diagnosis and management of diabetes mellitus. The quality of the scientific evidence supporting the use of these assays varies substantially.

APPROACH
An expert committee compiled evidence-based recommendations for laboratory analysis in screening, diagnosis, or monitoring of diabetes. The overall quality of the evidence and the strength of the recommendations were evaluated. The draft consensus recommendations were evaluated by invited reviewers and presented for public comment. Suggestions were incorporated as deemed appropriate by the authors (see Acknowledgments). The guidelines were reviewed by the Evidence Based Laboratory Medicine Committee and the Board of Directors of the American Association for Clinical Chemistry and by the Professional Practice Committee of the American Diabetes Association.

CONTENT
Diabetes can be diagnosed by demonstrating increased concentrations of glucose in venous plasma or increased hemoglobin A1c (HbA1c) in the blood. Glycemic control is monitored by the people with diabetes measuring their own blood glucose with meters and/or with continuous interstitial glucose monitoring (CGM) devices and also by laboratory analysis of HbA1c. The potential roles of noninvasive glucose monitoring, genetic testing, and measurement of ketones, autoantibodies, urine albumin, insulin, proinsulin, and C-peptide are addressed.

SUMMARY
The guidelines provide specific recommendations based on published data or derived from expert consensus. Several analytes are found to have minimal clinical value at the present time, and measurement of them is not recommended.
<strong>Long-term effectiveness of the national diabetes quality assessment program in South Korea</strong>
Authors: Hye Huh Ji , Kwon Serim , Ok Kim Gui , Yeon Kim Bo , Hwa Ha Kyoung , Jung Kim Dae 
Published: July 2023

<p><strong>Objective:</strong> This study examined the long-term effectiveness of the national diabetes quality assessment program (NDQAP) in diabetes.</p>
<p><strong>Research Design and Methods: </strong>From the Health Insurance Review and Assessment Service database, 399,984 individuals with diabetes who visited a primary care clinic from July 1, 2012, to June 30, 2013, were included and followed up until May 31, 2021. The NDQAP included five quality assessment indicators: regular outpatient visits, continuity of prescriptions, regular testing of glycated hemoglobin and lipids, and regular fundus examination. Cox proportional hazards models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for diabetes complications and all-cause mortality by the achievement of quality assessment indicators.</p>
<p><strong>Results</strong>: During the mean follow-up duration of 7.6 ± 1.8 years, 20,054 (5.0%) cases of proliferative diabetic retinopathy (PDR), 6,281 (1.6%) end-stage kidney diseases (ESKD), 1,943 (0.5%) amputations, 9,706 (2.4%) myocardial infarctions (MI), 26,975 (6.7%) strokes, and 35,799 (8.9%) all-cause mortality occurred. Each achievement of quality assessment indicator was associated with a decreased risk of diabetes complications and all-cause mortality. Individuals who were managed in high-quality institutions had a lower risk of PDR (HR, 0.82; 95% CI, 0.80–0.85), ESKD (HR, 0.77; 95% CI, 0.73–0.81), amputation (HR, 0.75; 95% CI, 0.69–0.83), MI (HR, 0.85; 95% CI, 0.82–0.89), stroke (HR, 0.86; 95% CI, 0.84–0.88), and all-cause mortality (HR, 0.96; 95% CI, 0.94–0.98) than those who were not managed in high-quality institutions.</p>
<p><strong>Conclusions</strong>: In Korea, the achievement of NDQAP indicators was associated with a decreased risk of diabetes complications and all-cause mortality. </p>
Efektivitas Case Method Terhadap Hasil Belajar Service Tenis
Authors: Masrun Masrun , Umar Umar , Yendrizal Yendrizal , Khairuddin Khairuddin 
Published: July 2023

Penelitian ini bertujuan untuk melihat efektivitas case method dalam meningkatkan hasil belajar servis tenis mahasiswa departemen Kepelatihan FIK UNP. Case method merupakan sebuah metode pembelajaran yang dilakukan dengan cara memberikan kasus pada materi yang akan dicarikan solusinya, khususnya dalam mempelajari servis tenis. Pengunaan metode case method dapat mendorong mahasiswa untuk meningkatkan kinerja dalam menjalankan proses pembelajaran servis tenis. Penelitian ini menggunakan metode True Exspriment, two group pre-test post-test control design, dan pengambilan subjek secara acak dengan jumlah sampel sebanyak n = 32 orang, Pembagian kelompok dilakukan dengan menggunakan teknik ordinally mactching pairing dengan masing-masing kelompok berjumlah 16 orang. Untuk membuktikan hipotesis dan efek dari perlakuan yang diberikan, dilakukan pengukuran nilai kemampuan servis tenis. Data diolah dengan memanfaakan SPSS software. Data pengukuran akhir menunjukkan bahwa univariate analisis dari perbedaan (ANOVA) berdasarkan pada sebuah koefisien pengaruh t dan nilai dari statistik makna dari nilai p-v membuktikan di antara kelompok kontrol dan eksperimental secara statistik terdapat perbedaan, terlihat dari nila p=0,000 untuk ekperimen grup, dan p=0,743ns untuk kelas kontrol grup. Dari hasil pengolahan data tersebut menunjukkan bahwa, case method memberikan hasil positif terhadap peningkatan hasil belajar servis tenis yang lebih baik.
Analysis of Using the Empirical Model of Organic Soil Consolidation to Predict Settlement
Authors: Meyer Zygmunt , Olszewska Magdalena 
Published: July 2023

Abstract
The paper describes two models for determining the constrained elasticity modulus of organic soils based on the settlement of an overloading embankment. In these methods, based on the settlement of the embankment of the load exerted on the subsoil, using the inverse problem, it is possible to determine the constrained modulus. A parameter determined in this way can also be determined during consolidation. Changes in the settlement at successive stages of consolidation can be used to determine the constrained modulus of the organic soil at a given point in time. Assuming a “temporarily stable” (quasi-stationary) state at each analysed stage of consolidation. The constrained elasticity modulus was determined for the settling at a given moment. constrained modulus tests of organic soils were carried out for two embankments previously described in the literature. In this case, the modulus was also analysed during consolidation. These embankments are founded on peat and peat-gyttja substrates. In both cases, the layer of organic soil was 4 m. The presented methods with the assumption of a one-dimensional state of deformation, despite the state of spatial stress, can be used during construction using the “design and build” technology. The constrained modulus determined from the embankment overload will represent the actual deformations – volumetric deformations (including other deformations that actually occurred) during the consolidation period. The paper was concluded with several conclusions.
An Attempt to Analytically Determine Course of the Continuous Q-S Curve in Case of Changed Pile Length or Diameter
Authors: Meyer Zygmunt , Stachecki Kamil 
Published: July 2023

Abstract
In this paper authors have described the analytical method of continuous static load test Q-s curve conversion for any given pile. Authors have used data sets from static load tests conducted by Energopol Szczecin S.A. in a full range of loads which allows to use of measured values of pile maximum bearing capacity and determine relation between it and pile length and diameter. All the piles used in this paper were CFA piles bored in mostly loam soil conditions. The research described in this work was based on the Meyer-Kowalow method (M-K method) of static load test interpretation. The M-K method allows for a full description of the load-settlement relation, as a continuous curve (M-K curve) using three parameters that described pile-soil interaction. As a result of conducted research relations between parameters describing M-K curve and pile dimensions were established, which allows for a practical application of the proposed method.
In this paper, the authors presented an example of the practical use of curve conversion to analyze the impact of changes in geometric dimensions on pile-soil interaction. The proposed method allows for a curve conversion of the total resistance curve, as well as a curve describing base and skin resistances.