bluuebunny/crossref_metadata_2025_split huggingface dataset:
Salivary cortisol and cortisone in diagnosis of Cushing’s syndrome – a comparison of six different analytical methods
Authors: Bäcklund Nils , Brattsand Göran , Lundstedt Staffan , Aardal Elisabeth , Bartuseviciene Inga , Berinder Katarina , Höybye Charlotte , Burman Pia , Edén Engström Britt , Isaksson Anders , Blomgren Anders , Ragnarsson Oskar , Rüetschi Ulrika , Wahlberg Jeanette , Olsson Tommy , Dahlqvist Per 
Published: April 2023

Abstract

Objectives
Salivary cortisol and cortisone at late night and after dexamethasone suppression test (DST) are increasingly used for screening of Cushing’s syndrome (CS). We aimed to establish reference intervals for salivary cortisol and cortisone with three liquid chromatography-tandem mass spectrometry (LC-MS/MS) techniques and for salivary cortisol with three immunoassays (IAs), and evaluate their diagnostic accuracy for CS.

Methods
Salivary samples at 08:00 h, 23:00 h and 08:00 h after a 1-mg DST were collected from a reference population (n=155) and patients with CS (n=22). Sample aliquots were analyzed by three LC-MS/MS and three IA methods. After establishing reference intervals, the upper reference limit (URL) for each method was used to calculate sensitivity and specificity for CS. Diagnostic accuracy was evaluated by comparing ROC curves.

Results
URLs for salivary cortisol at 23:00 h were similar for the LC-MS/MS methods (3.4–3.9 nmol/L), but varied between IAs: Roche (5.8 nmol/L), Salimetrics (4.3 nmol/L), Cisbio (21.6 nmol/L). Corresponding URLs after DST were 0.7–1.0, and 2.4, 4.0 and 5.4 nmol/L, respectively. Salivary cortisone URLs were 13.5–16.6 nmol/L at 23:00 h and 3.0–3.5 nmol/L at 08:00 h after DST. All methods had ROC AUCs ≥0.96.

Conclusions
We present robust reference intervals for salivary cortisol and cortisone at 08:00 h, 23:00 h and 08:00 h after DST for several clinically used methods. The similarities between LC-MS/MS methods allows for direct comparison of absolute values. Diagnostic accuracy for CS was high for all salivary cortisol and cortisone LC-MS/MS methods and salivary cortisol IAs evaluated.
Doping silver nanoparticles into reverse osmosis membranes for antibacterial properties
Authors: Zou Xiaofang , Zhu Tian , Tang Jiangquan , Gan Weixing , Nong Guangzai 
Published: April 2023

Abstract
Polyamide composite reverse osmosis (RO) membranes occupy an important position in water treatment. However, membrane fouling, especially biofouling, can lead to a significant decrease in membrane permeability. Therefore, reducing biological contamination is a significant and important property of an RO membrane. In this article, a hypothesis on the development of a new kind of RO membrane for antibacterial purposes was prepared by the modification of gallic acid (GA) and silver nanoparticles (AgNPs). Then, experiments were carried out to verify the hypothesis, getting a modified RO membrane with the composite of GA@AgNPs. The water flux of the GA@AgNPs RO membrane was 31.1 L·m−2·h−1, which was 46.7% higher than that of the original membrane, while the rejection rate of salt remained at 93.8–97.6%. Moreover, the GA@AgNPs RO membranes exhibited outstanding antibacterial properties with more than 99.9% antibacterial efficiency against both Escherichia coli and Staphylococcus aureus. Our work provides a new idea for solving the problem of biofouling RO membranes.
A Note on Friedrich Schlegel’s Reception of the Wissenschaftslehre
Authors: Goh Kienhow 
Published: April 2023

Abstract
This essay investigates what a nuanced and revisionary interpretation of Fichte’s Critical-idealist philosophy could reveal about its impact on the philosophic thought of Friedrich Schlegel. It argues that Schlegel sees the Wissenschaftslehre through the lens of the distinction Fichte famous draws between the “spirit” (Geist) and the “letter” (Buchstaben) of a philosophy. He considers the spirit of the Wissenschaftslehre to lie in its acute awareness of its own limitation as a work of art and its letter in the deductive or demonstrative form it inevitably assumes upon being expounded. In the face of the discrepancy, Schlegel rejects the letter of the Wissenschaftslehre in favor of its spirit.
Real-life long-term efficacy and safety of recombinant human growth hormone therapy in children with short stature homeobox-containing deficiency
Authors: Bruzzi Patrizia , Vannelli Silvia , Scarano Emanuela , Di Iorgi Natascia , Parpagnoli Maria , Salerno MariaCarolina , Pitea Marco , Elisabeth Street Maria , Secco Andrea , Andrea Trettene Adolfo , Wasniewska Malgorzata , Corciulo Nicola , Tornese Gianluca , Felicia Faienza Maria , Delvecchio Maurizio , Filomena Madeo Simona , Iughetti Lorenzo 
Published: April 2023

Objective
This Italian survey aims to evaluate real-life long-term efficacy and safety of recombinant human growth hormone (rhGH) therapy in children with short stature homeobox-containing gene deficiency disorders (SHOX-D) and to identify potential predictive factors influencing response to rhGH therapy.

Design and methods
This is a national retrospective observational study collecting anamnestic, anthropometric, clinical, instrumental and therapeutic data in children and adolescents with a genetic confirmation of SHOX-D treated on rhGH. Data were collected at the beginning of rhGH therapy (T0), yearly during the first 4 years of rhGH therapy (T1, T2, T3 and T4) and at near-final height (nFH) (T5), when available.

Results
One hundred and seventeen SHOX-D children started rhGH therapy (initial dose 0.23 ± 0.04 mg/kg/week) at a mean age of 8.67 ± 3.33 years (74% prepubertal), 99 completed the first year of treatment and 46 reached nFH. During rhGH therapy, growth velocity (GV), standard deviation score (SDS) and height (H) SDS improved significantly. Mean H SDS gain from T0 was +1.14 ± 0.58 at T4 and +0.80 ± 0.98 at T5. Both patients carrying mutations involving intragenic SHOX region (group A) and ones with regulatory region defects (group B) experienced a similar beneficial therapeutic effect. The multiple regression analysis identified the age at the start of rhGH treatment (β = −0.31, P = 0.030) and the GV during the first year of rhGH treatment (β = 0.45, P = 0.008) as main independent predictor factors of height gain. During rhGH therapy, no adverse event of concern was reported.

Conclusions
Our data confirm the efficacy and safety of rhGH therapy in SHOX-D children, regardless the wide variety of genotype.

Significance Statement
Among children with idiopathic short stature, the prevalence of SHOX-D is near to 1/1000–2000 (1.1–15%) with a wide phenotypic spectrum. Current guidelines support rhGH therapy in SHOX-D children, but long-term data are still few. Our real-life data confirm the efficacy and safety of rhGH therapy in SHOX-D children, regardless of the wide variety of genotypes. Moreover, rhGH therapy seems to blunt the SHOX-D phenotype. The response to rhGH in the first year of treatment and the age when rhGH was started significantly impact the height gain.
PENGARUH MODEL SIKLUS BELAJAR 5E (Engagemant, Exploration, Explanation, Elaboration, Evaluation) TERHADAP KEMAMPUAN APLIKASI KONSEP SISWA PADA MATERI SISTEM SARAF
Authors: Mulyna Andra Rian , Kurniati Tuti , Agustina Tri Wahyu 
Published: April 2023

This research supported by the problems emerging in class xi mia sman 27 bandung because less increasing study results in learning biology students. To overcome these problems by using a learning process implemented learning model learning cycle5E. This study aimed to determine the effect of the Learning Cycle 5E model of application of the concept of students' abilities in the material of the nervous system as well as knowing keterlaksanaan process of learning by using learning model 5E learning cycle on the material of the nervous system.The method used is Quasi-Experimental Design with a sample that is class I and class XI XI MIA MIA II the number of students in each class of 30 students. The sampling technique used was purposive sampling. Research instrument used was a set of tests and observation sheet. Analysis of study data including normality test, homogeneity test and test hypotheses.Results of analysis keterlaksanaan learning process by using the learning cycle 5E model of the average values obtained 97.50% berkategorikan good enough for the activities of teachers and 96% berkategorikan good enough for the student activity. The results showed that the application of the concept of students' ability to use the learning cycle 5E learning model obtained an average value of 44.56 initial test, the final test of 72.17, NGain of 0.50 berkategorikan being an indicator of high concept application that indicator application of the material that has been learned within the family, school, community. Application of the concept of students' abilities without using 5E learning cycle model obtained an average value of 43.31 initial test, the final test 55.26, N 0.21 Gain berkategorikan-low, high-concept application indicators are indicators of the application of the material that has been studied in the environment family, school, community. Hypothesis test results at the end of the test Learning Cycle 5E learning model on the nervous system material obtained t 5.06> 1.69 ttable at significance level of 5%. Based on the results of this study concluded that there are significant learning model Learning Cycle 5E on the ability of the students expressed significant application of concepts and hypotheses accepted.
The Use of Whatsapp Social Media Group for Nutrition Counselling among Parents with Children of Congenital Heart Defects
Authors: Prabhu Shruti , Prabhu Atul , Sahu Kavita Kiran 
Published: April 2023

Background: Ignorance about appropriate Infant and Young Child Feeding (IYCF) Practices among parents of children with Congenital Heart Defects (CHD) can exacerbate malnutrition in these children leading to significant morbidity and mortality. Use of novel methods for Intensive Nutrition Counselling such as Whatsapp social media group can lead to considerable improvement in nutritional status of the child.
Objectives: To assess the efficacy of Whatsapp group for Intensive Nutritional Counselling to parents of children with CHD.
Methods: This is a two-year prospective interventional study, one-group before-after study design. Here, intervention is in the form of specialised focussed nutrition counselling for parents of children with CHD through Whatsapp social media group.
Results: Majority of the patients 16 (30.0%) were in the age group of 7-12 months, predominant diagnosis (25 patients i.e. 48.9%) was Ventricular Septal Defect (VSD). Sixty-eight percent patient-families belonged to lower socio-economic class. Before intervention, 71.1% of children (37 of 52) were found to be underweight, 35.5% children were stunted and 65.6% children were wasted. Post intervention there was significant improvement in all the 3 anthropometric indicators. This intervention particularly helped improve IYCF habits for the age group of 7-12 months. Post intervention all parents included the 8 food groups in their childrenâ€™s diet thus providing them wholesome nutrition whereas earlier only 2-3 food groups were given to children on a daily basis.
Conclusion: This is the first study to explore use of Whatsapp group to educate parents of children with CHD about specific nutrition counselling, resulting in improvement in child anthropometric indices.
Evaluating Social Determinants of Health Variables in Advanced Analytic and Artificial Intelligence Models for Cardiovascular Disease Risk and Outcomes: A Targeted Review
Authors: Snowdon Jane L. , Scheufele Elisabeth L. , Pritts Jill , Le Phuong-Tu , Mensah George A. , Zhang Xinzhi , Dankwa-Mullan Irene 
Published: April 2023

Introduction/PurposePredictive models incorporating relevant clinical and social features can provide meaningful insights into complex interrelated mechanisms of cardiovascular disease (CVD) risk and progression and the influence of environmental exposures on adverse outcomes. The purpose of this targeted review (2018–2019) was to examine the extent to which present-day advanced analytics, artificial intelligence, and machine learning models include relevant variables to address potential biases that inform care, treatment, resource allocation, and management of patients with CVD.MethodsPubMed literature was searched using the prespecified inclusion and exclusion criteria to identify and critically evaluate primary studies published in English that reported on predictive models for CVD, associated risks, progression, and outcomes in the general adult population in North America. Studies were then assessed for inclusion of relevant social variables in the model construction. Two independent reviewers screened articles for eligibility. Primary and secondary independent reviewers extracted information from each full-text article for analysis. Disagreements were resolved with a third reviewer and iterative screening rounds to establish consensus. Cohen's kappa was used to determine interrater reliability.ResultsThe review yielded 533 unique records where 35 met the inclusion criteria. Studies used advanced statistical and machine learning methods to predict CVD risk (10, 29%), mortality (19, 54%), survival (7, 20%), complication (10, 29%), disease progression (6, 17%), functional outcomes (4, 11%), and disposition (2, 6%). Most studies incorporated age (34, 97%), sex (34, 97%), comorbid conditions (32, 91%), and behavioral risk factor (28, 80%) variables. Race or ethnicity (23, 66%) and social variables, such as education (3, 9%) were less frequently observed.ConclusionsPredictive models should adjust for race and social predictor variables, where relevant, to improve model accuracy and to inform more equitable interventions and decision making.
Pengaruh Kompensasi dan Lingkungan Kerja terhadap Kepuasan Kerja pada Karyawan Persekutuan Komanditer di Bogor
Authors: Ardi Nugroho Yusuf , Wahyu Handaru Agung , Wiradendi Wolor Christian 
Published: April 2023

The purpose of this study is to determine whether compensation and work environment have an influence on job satisfaction for employees of CV Mutiara Jaya Berkah. This study used a sample of 62 employees of CV Mutiara Jaya Berkah. This study used a quantitative approach with descriptive and explanatory analysis methods. Data was collected by distributing survey questionnaires to 62 employees of CV Mutiara Jaya Berkah. The data analysis method used in testing the hypothesis in this study is the SEM (Structural Equation Model) method. The results of this study indicate that compensation and the work environment have a positive and significant effect on employee’s job satisfaction at CV Mutiara Jaya Berkah.
Keyword: Compensation, Work Environment, Job Satisfaction

Tujuan dari penelitian ini yaitu untuk mengetahui apakah kompensasi dan lingkungan kerja memiliki pengaruh terhadap kepuasan kerja pada karyawan CV Mutiara Jaya Berkah. Penelitian ini menggunakan sampel sebanyak 62 orang karyawan CV Mutiara Jaya Berkah. Penelitian ini menggunakan pendekatan kuantitatif dengan metode analisis deskriptif dan eksplanatori. Pengumpulan data dilakukan dengan menyebarkan kuisioner survei kepada 62 orang karyawan CV Mutiara Jaya Berkah. Metode analisis data yang digunakan dalam pengujian hipotesis pada penelitian ini yaitu dengan Metode SEM (Model Persamaan Struktural). Hasil dari penelitian ini menunjukkan bahwa kompensasi dan lingkungan kerja memiliki pengaruh positif dan signifikan terhadap kepuasan kerja karyawan CV Mutiara Jaya Berkah.
Pengaruh Perputaran Modal Kerja, Likuiditas, dan Solvabilitas Terhadap Kinerja Perusahaan Sektor Manufaktur yang Terdaftar di Bursa Efek Indonesia Periode 2014 – 2018
Authors: Roswanti Pratami Dara , Mardiyati Umi , Dharmawan Buchdadi Agung 
Published: April 2023

The purpose of this study is to determine the effect of working capital turnover, liquidity, and solvency on the performance of manufacturing sector firms listed in Indonesia Stock Exchange period of 2014-2018. The variables used in this study are working capital turnover, amihud illiquidity, and Debt to Asset Ratio (DAR) as independent variables, company performance (proxied by ROA and Tobin's Q) as the dependent variable. The sample used in this study consist of 103 companies. The sampling method used was the purposive sampling method, with the balanced panel data as a data analysis method. The results of this study indicate that working capital turnover and amihud illiquidity has no significant effect on the company's performance, while Debt to Asset Ratio (DAR) has a significant negative effect on company performance (on ROA proxy) and significant positive effect on company performance (on Tobin's Q proxy).

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh perputaran modal kerja, likuiditas, dan solvabilitas terhadap kinerja perusahaan sektor manufaktur yang terdaftar di Bursa Efek Indonesia periode 2014-2018. Variabel yang digunakan dalam penelitian ini adalah perputaran modal kerja, likuiditas amihud, dan Debt to Asset Ratio (DAR) sebagai variabel bebas, kinerja perusahaan (diproksikan dengan ROA dan Tobin's Q) sebagai variabel terikat. Sampel yang digunakan dalam penelitian ini berjumlah 103 perusahaan. Metode pengambilan sampel yang digunakan adalah metode purposive sampling, dengan metode analisis data balanced panel data. Hasil penelitian ini menunjukkan bahwa perputaran modal kerja dan likuiditas amihud tidak berpengaruh signifikan terhadap kinerja perusahaan, sedangkan Debt to Asset Ratio (DAR) berpengaruh negatif signifikan terhadap kinerja perusahaan (pada proksi ROA) dan berpengaruh positif signifikan terhadap kinerja perusahaan (pada proksi Tobin's Q).
Data-centric artificial olfactory system based on the eigengraph
Authors: Sung Seung-Hyun , Suh Jun Min , Jang Ho Won , Park Jeon Gue , Jun Seong Chan 
Published: April 2023

Abstract
Recently reported studies of electronic nose systems that combine chemiresistive gas sensors with computational analysis technologies tend to waste significant amount of important data. Since the sensitivity-oriented data composition have made it difficult to discover meaningful and valuable data to apply artificial intelligence analysis in terms of in-depth analysis of odor attributes specifying the gas identities, ultimately resulting in hindering the development of artificial olfactory technology. Here, we propose a novel data-centric approach for realizing a standardized artificial olfactory system inspired by the human olfactory mechanism. We designed an olfactory receptor-like sensor array in which each channel has independent gas sensing characteristics through semiconductor processes. In addition, the physicochemically optimized sensor array reproducibly generated eigengraphs with highly refined waveforms which contribute keeping invariability of input space to deep learning architecture. The implicit odor attributes of the time domain eigengraphs were mathematically represented by the newly defined frequency domain feature vectors. The effectiveness of the MFCC feature vectors in deep learning for gas classification was clearly demonstrated in terms of training time reduction and inference performance improvement despite the extremely decreased amount of training data. We suggest that our strategy can be widely applied as a source technology to develop standard artificial olfactory systems.
Knowledge and Attitude on Preconception Care and Associated Factors Among Women of Reproductive Age With Chronic Disease Who Have Follow-up at Amhara Regional State Referral Hospitals, Ethiopia, 2022; Multicenter Cross-sectional Study
Authors: Demeke Muluken , Yetwale Fisseha , Mulaw Zerfu , Yehualashet Daniel , Gashaw Anteneh , Agegn Berihun 
Published: April 2023

Abstract
Introduction: Preconception care is an important window to target maternal morbidity and mortality, especially for women who have chronic diseases. However, little was known about knowledge and attitudes towards preconception care among women of reproductive age with chronic disease. Therefore this study aimed to assess Knowledge and attitude on preconception care and associated factors among women of reproductive age with chronic disease who have follow-up at Amhara Regional State Referral Hospitals, Ethiopia, 2022.
Method:A multicenter cross-sectional study design was conducted among 828 women of reproductive age from April 15 to June 1, 2022. A multistage sampling technique was employed to select study participants. Data was collected by using a structured interviewer-administered questionnaire and chart review. Bi-variate and multivariable logistic regression analyses were carried out, and statistical significance was declared with P <0.05 and AOR with a 95% confidence interval.
Result:This study found that 55.6% of respondents had a good knowledge on preconception care, and about half of the women (50.2%) had a good attitude towards PCC. Women, who attended formal education (AOR: 1.997, 95% CI: 1.247, 3.196), prim-parity (AOR: 2.589, 95% CI: 1.132, 5.921), received preconception counseling (AOR: 3.404, 95% CI: 2.170, 5.340), duration of disease ≥ 5 years (AOR: 6.495, 95% CI: 4.091, 10.310) were significantly associated with knowledge on PCC. Woman's age ≥35years (AOR: 2.143, 95% CI: 1.058, 4.339), women who attended secondary education and above (AOR: 2.427, 95% CI: 1.421, 4.146), history of modern family planning use (AOR: 2.853 95% CI: 1.866, 4.362), received preconception counseling (AOR: 2.209, 95% CI: 1.429, 3.414) and having good knowledge on PCC (AOR: 20.629, 95% CI: 12.425, 34.249) were significantly associated with attitude towards PCC.
Conclusions:The finding of this study showed that women’s knowledge and attitude on preconception care were relatively low. Health professionals in the study area shall counsel women to improve knowledge and attitude on preconception care.