bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding Common Rationales Adopted in Healthcare Price Setting Across the Private Healthcare Sector in Sri Lanka: A qualitative study
Authors: Narangoda Kanchana Sajeeva , Park Joon Soo , Tennant Marc , Kruger Estie 
Published: December 2022

Background / Objectives: The Sri Lankan healthcare system consists of public and private sectors. In terms of capacity, the public sector dominates the provision of care across curative, preventive and outpatient care. The private sector, too, has grown rapidly in recent years but was mainly confined to providing curative, diagnostic and outpatient care. Since, there are little or no studies conducted in Sri Lanka thus far, the objective of this study was to understand the current approaches adopted in determining the base of healthcare payments. This study also investigated the economic and administrative processes involved in determining the level of healthcare pricing in the private sector healthcare industry in Sri Lanka.
Method: This qualitative study investigated the rationales adopted in healthcare pricing by healthcare administrators in the private sector. Structured interviews were conducted and thematic analysis were applied to interview data collected and analysis.
Results: Five key themes, which influenced pricing, were identified from the interviews. These themes included influence from medical practitioners/clinicians, competitor pricing, price adjustment/profit margins, consumables and staff, and economic demands. There was a consensus that competitor pricing and seniority of the practicing clinicians had an impact on pricing.
Conclusion: This study revealed that the base of payment in private sector healthcare is fee for service (FFS). Adopting popular international approaches such as Diagnostic Related Groups (DRGS) was not shown in this study. Further, it was evident that the Sri Lankan private healthcare sector administrators unilaterally fix pricing based on the identified key themes without adequately consulting the healthcare payers and users.
ANALISA STRATEGI BAURAN PEMASARAN DAN PROMOSI TERHADAP MINAT BERKUNJUNG WISATAWAN DI KUSUMA AGROWISATA MALANG
Authors: Laitera Inggrit , Nivak Christian Lilik Henri Setiawan 
Published: December 2022

Dalam mempromosikan dan memasarkan sebuah produk wisata dibutuhkan penerapan strategi pemasaran yang baik, terdapat begitu banyak strategi pemasaran yang dapat digunakan salah satunya bauran pemasaran (Marketing mix). Metode penelitian yang gunakan adalah kualitatif dengan metode deskriptif, Penilitian ini bertujuan untuk mengetahui mengenai apakah strategi bauran pemasaran yang diterapkan oleh Kusuma Agrowisata memiliki dampak yang baik terhadap minat berkunjung wisatawan. Teknik pengumpulan data dilakukan dengan observasi, wawancara, dan peneliti terdahulu. Hasil yang didapat saat penelitian yaitu Kusuma Agrowisata telah melakukan penerapan bauran pemasaran dengan menerapkan komponen 7P (product, price, promotion, place, people, physical evidence, dan procces) dan mendapatkan dampak yang baik karena adanya kunjungan dari wisatawan. Namun, Kusuma Agrowisata harus senantiasa meng-upgrade konsep promosi yang diterapkan agar menjangkau lebih banyak wisatawan.
BELAJAR UNTUK HIDUP DENGAN PERBEDAAN BAGAIMANA CEDAR MEMBAWA ANTROPOLOGI KELUAR DARI RUANG KELAS DAN MASUK KE DUNIA
Authors: Montgomery David W. , Seligman Adam B. , Wasserfall Rahel R. 
Published: December 2022

Artikel ini menjelaskan tentang proses CEDAR (Community Engaging Difference and Religion) sebuah lembaga swadaya masyarakat untuk menyebarkan ide dan praktek tentang bagaimana hidup bersama yang lain. CEDAR telah berkembang sejak awal dibentuk pada tahun 2003 dengan nama International Summer School on Religion and Public Life (ISSRPL). Namanya berubah menjadi CEDAR pada tahun 2013 dan sejak itu terus mengadakan program pelatihan di banyak negara, antara lain Inggris Raya, Bosnia, Bugaria, Israel, Amerika Serikat, Kenya dan Indonesia. Artikel ini dimulai dengan testimoni dari peserta program CEDAR yang dilakukan di berbagai negara itu selama dua minggu untuk menggambarkan perubahan yang kemudian mereka alami terutama pandangan dan sikapnya terhadap mereka yang memiliki keyakinan yang berbeda. Dari penagalaman program di Bosnia, Krosia dan Israel misalnya kami belajar bahwa perbedaan agama atau antara pemeluk agama dan sekuler sebagai sumber utama konflik namun juga perbedaan suku, golongan dan orientasi seksual juga merupakan sumber ketegangan, intoleransi dan saling curiga satu sama lain. Oleh karenanya, kami memasukkan berbagai faktor tersebut ke dalam program kami. Berbagi pengalaman adalah tempat terbaik untukmemahami perbedaan dibandingkan pelatihan akademis. Penekanan berbagi pengalaman berimplikasi kepada model pelatihan dimana kegiatan akademis dikurangi dan dan lebih diperbanyak kegiatan pembelajaran non akademis misalnya mengerjakan proyek bersama. Artikel ini juga menjelaskan tentang peran ahli antropologi baik dalam teori maupun iplementasinya dalam kurikulum dan kegiatan program CEDAR
Validation of a predictive model for coronary artery disease in patients with diabetes
Authors: Xu Junhong , Zhao Qiongrui , Li Juan , Yuan Youhua , Cao Xingguo , Zhang Xueyan , Fang Jia , Yan Wenjuan , Wang Baoya , Li Yi , Chu Yingjie 
Published: December 2022

Background
No reliable model can currently be used for predicting coronary artery disease (CAD) occurrence in patients with diabetes. We developed and validated a model predicting the occurrence of CAD in these patients.

Methods
We retrospectively enrolled patients with diabetes at Henan Provincial People's Hospital between 1 January 2020 and 10 June 2020, and collected data including demographics, physical examination results, laboratory test results, and diagnostic information from their medical records. The training set included patients (n = 1152) enrolled before 15 May 2020, and the validation set included the remaining patients (n = 238). Univariate and multivariate logistic regression analyses were performed in the training set to develop a predictive model, which were visualized using a nomogram. The model's performance was assessed by area under the receiver-operating characteristic curve (AUC) and Brier scores for both data sets.

Results
Sex, diabetes duration, low-density lipoprotein, creatinine, high-density lipoprotein, hypertension, and heart rate were CAD predictors in diabetes patients. The model's AUC and Brier score were 0.753 [95% confidence interval (CI) 0.727–0.778] and 0.152, respectively, and 0.738 (95% CI 0.678–0.793) and 0.172, respectively, in the training and validation sets, respectively.

Conclusions
Our model demonstrated favourable performance; thus, it can effectively predict CAD occurrence in diabetes patients.
Sacubitril/valsartan reduces cardiac decompensation in heart failure with preserved ejection fraction: a meta-analysis
Authors: Basile Christian , Paolillo Stefania , Gargiulo Paola , Marzano Federica , Asile Gaetano , Parlati Antonio Luca Maria , Chirico Alfonsina , Nardi Ermanno , Buonocore Davide , Colella Angela , Perrone-Filardi Pasquale 
Published: December 2022

Background
The impact of sacubitril–valsartan on heart failure (HF) patients with preserved ejection fractions (HFpEF) is uncertain. The purpose of this meta-analysis was to explore the clinical advantages and safety of sacubitril–valsartan in patients with HFpEF.

Methods
PubMed and Web of Science were searched without any restrictions from inception to 8 May 2022 to identify valuable articles. The studies that met the inclusion criteria were analyzed.

Results
Four trials, with a total of 7008 patients were included. Compared with valsartan, sacubitril–valsartan significantly reduced the rate of HF decompensation and of the combined end point of HF decompensation and all-cause mortality. All-cause mortality, New York Heart Association class improvement and rate of hyperkalemia were not significantly different between the two groups. Regarding safety, sacubitril–valsartan was more likely to increase the risk of hypotension.

Conclusion
This meta-analysis suggests that sacubitril–valsartan may be an effective strategy to reduce HF decompensation events in patients with HFpEF.

Systematic Review registration: CRD42022336077.
Morphological and Anatomical Profile of Cassia occidentalis (L.) Species Grown in the Republic of Moldova
Authors: Calalb Tatiana , Fursenco Cornelia , Chisnicean Lilia , Jelezneac Galina , Balmuş Zinaida 
Published: December 2022

Abstract
The current research deals with the morpho-anatomical characteristics of Cassia occidentalis (L.) (Coffee senna plant), grown in the steppe climate conditions of the Republic of Moldova. This study was performed according to investigated organ in vegetative periods of 2019-2021 years. Morphological and anatomical indices of organs with diagnostic role in identifying species and those with adaptive potential to the action of unfavorable growth factors, have been elucidated. These indices were evaluated in the light of data already reported by other researchers. This morpho-anatomical research has revealed new aspects to support some anatomical features already outlined, but less confirmed in the studies of the last decades and will serve as landmarks for a real clarity of the integral microstructural picture of the C. occidentalis species.
Evaluation of the Vranov Reservoir Functions
Authors: Oppeltová Petra , Priehoda Tomáš 
Published: December 2022

Abstract
Study area – Vranov reservoir on the river Dyje lies in the South Moravian region in the Czech Republic. A multipurpose reservoir, Vranov, is a significant hydraulic structure whose primary purpose is water retention, including managing flood conditions. The reservoir itself and its surroundings are intensively used for recreation, and a hydroelectric power station has also been built there. In 1982, the reservoir began to be used as a source of drinking water. The objective of this study is to elaborate hydrological data – daily total precipitation and daily surface runoff – from 1981 to 2019, evaluate the influence of the Vranov water work, focusing on the hydrological extremes, and evaluate individual functions of this reservoir.
The results showed an increase in the number of days of hydrological drought. The influence of the dam as a flood protection element is significant – in summer 2006, a peak of flow rate value of 551 m3 s−1 was transformed to 234 m3 s−1.
The reservoir itself and its catchment area have multipurpose usage. Problems may arise in connection with extreme hydrological events when the reservoir cannot perform all its functions at the same time as it does at normal water levels and runoffs. Whether in times of flood or drought, it is necessary to resort to emergency manipulation of the reservoir and choose which of the purposes of the reservoir will be primary at that time.
Static Water Vapor Sorption Properties of Honey
Authors: Arslan Kubra , Turhan Mahir 
Published: December 2022

Abstract
Static sorption properties of pine honey (PH) and citrus honey (CH) were studied at 20, 30 and 40°C. Yeast formation was observed on the surface of honeys at water activity (aw)>0.7 at all temperatures. Visible yeast formation (YF) took place earlier in PH than in CH under the same conditions due to its characteristic higher pH and lower monosacchride content. The temperature was insignificantly effective on YF (p>0.05). The honeys exhibited a sorption isotherm (SI) in the shape of a “J”. Their SIs exhibited desorption and adsorption at aw<0.7 and aw>0.7, respectively and the desorption part was almost linear. Aw=0.7 emerged as a border between the absence and presence of YF and between the desorption and adsorption. The SIs of honeys were insignificantly affected by temperature (p>0.05). PH had a significantly lower SI than that of CH (p≤0.05) due to its characteristic lower monosacchride content. GAB equation exhibited a good fit to the honeys' SIs. Sorption heat vs equilibrium moisture content (EMC) revealed monolayer, multilayer and loosely bound free water regions in the SIs of PH and CH.
Simultaneous photooxidation and photoreduction of phenol and Cr(VI) ions using titania modified with nanosilica
Authors: Kądziołka Daria , Grzechulska-Damszel Joanna , Schmidt Beata 
Published: December 2022

Abstract
The photocatalytic process of phenol oxidation and Cr(VI) reduction in the presence of nano-silica modified titania was carried out. The activity of composites was tested using two different light sources. The photocatalysts with 10% of nanosilica showed the highest activity. The calcination temperature (200–800 oC) significantly determined the sensitivity of the obtained materials to the light source used. Photocatalysts alternately adsorbed and desorbed Cr(VI) ions from the reaction mixture during irradiation. In the one-component mixture, complete oxidation of phenol was observed using material calcined at 650 oC, after 3 h of UV-VIS irradiation. In the reaction mixture of Cr(VI) and phenol, the highest activity was demonstrated by photocatalyst calcined at 300 oC. The concentration of phenol decreased in proportion to the decrease of chromium ions. The obtained titania-silica composites showed oxidizing properties towards phenol and reductive properties toward Cr(VI) ions.
Investigation of the co-processing technology of crude oil and coal and its deployment
Authors: Li Suan , Liu Qi , Deng Qingyu , Ye Hang , Zhou Xuejie , Qiao Aijun 
Published: December 2022

Abstract
The effect of process conditions on the co-processing technology of crude oil and coal was investigated. Crude oil/coal matching performance, swelling degree, crude oil/coal slurry viscosity-temperature characteristics and process parameters were obtained via the laboratory scale and pilot scale studies. The optimum reaction temperature of the co-processing was 445~450 oC, the pressure was 19 MPa, the catalyst addition was 3 wt.%, the reaction time was 2 h, and the ratio of hydrogen to crude oil was 1500 (V/V). Furthermore, the co-processing technology including catalyst and corresponding equipment based on the slurry bed hydrogenation were developed. By using this co-processing technology, the feed ratio of crude oil and coal can be 1:1, the coal conversion rate can be over 99%, the light oil (oil and aromatics) yield was over 70%, and the end products were gasoline, diesel, jet fuel, aromatics and LPG. The product quality meets the Euro V standard, whilst aromatics accounted for 48% of the light oil. So it was proved to be feasible to co-refine crude oil and coal at a ratio of 1:1. What’s more, the slurry bed hydrogenation plant and its equipment were tested for long-term operation, and it has been proved that this co-processing technology could be deployed as large-scale industrial application.
Treatment of wastewater from the production of meat and bone meal by the Fenton process and coagulation
Authors: Makara Agnieszka , Kowalski Zygmunt , Radomski Piotr , Olczak Piotr 
Published: December 2022

Abstract
Wastewater from the production of meat and bone meal, due to the high load of organic matter and suspended solids, is a significant problem in the process of its treatment. In this work, we examined the method of treating this wastewater using coagulation with hydrogen peroxide and the Fenton process. Treatment variants included the use of variable Fe2+/H2O2 ratios of 1:5–1:30, variable doses of 3–18.0 g/L H2O2, and 5–10 mL/L of coagulant PIX 113. The calculated reduction degrees showed that, regardless of the treatment variant used, the greatest reduction was obtained for turbidity (100%), phosphorus (99%), followed by color (97%), chemical oxygen demand (70%), and Kjeldahl nitrogen (48%). The proposed treatment options can be used as a preliminary stage in treating wastewater from the production of meat and bone meal.
Sampling methods for the concentration parameter and discrete baseline of the Dirichlet Process
Authors: Liu Yang , Nandram Balgobin 
Published: December 2022

Abstract
There are many models in the current statistical literature for making inferences based on samples selected from a finite population. Parametric models may be problematic because statistical inference is sensitive to parametric assumptions. The Dirichlet process (DP) prior is very flexible and determines the complexity of the model. It is indexed by two hyper-parameters: the baseline distribution and concentration parameter. We address two distinct problems in the article. Firstly, we review the current sampling methods for the concentration parameter, which use the continuous baseline distribution. We compare three different methods: the adaptive rejection method, the mixture of Gammas method and the grid method. We also propose a new method based on the ratio of uniforms. Secondly, in practice, some survey responses are known to be discrete. If a continuous distribution is adopted as the baseline distribution, the model is misspecified and standard inference may be invalid. We propose a discrete baseline approach to the DP prior and sample the unobserved responses from the finite population both using a Polya urn scheme and a Multinomial distribution. We applied our discrete baseline approach to a Phytophthora data set.
Parameter estimation of exponentiated exponential distribution under selective ranked set sampling
Authors: Hassan Amal S. , Elshaarawy Rasha S. , Nagy Heba F. 
Published: December 2022

Abstract
Partial ranked set sampling (PRSS) is a cost-effective sampling method. It is a combination of simple random sample (SRS) and ranked set sampling (RSS) designs. The PRSS method allows flexibility for the experimenter in selecting the sample when it is either difficult to rank the units within each set with full confidence or when experimental units are not available. In this article, we introduce and define the likelihood function of any probability distribution under the PRSS scheme. The performance of the maximum likelihood estimators is examined when the available data are assumed to have an exponentiated exponential (EE) distribution via some selective RSS schemes as well as SRS. The suggested ranked schemes include the PRSS, RSS, neoteric RSS (NRSS), and extreme RSS (ERSS). An intensive simulation study was conducted to compare and explore the behaviour of the proposed estimators. The study demonstrated that the maximum likelihood estimators via PRSS, NRSS, ERSS, and RSS schemes are more efficient than the corresponding estimators under SRS. A real data set is presented for illustrative purposes.
Missing data estimation based on the chaining technique in survey sampling
Authors: Thakur Narendra Singh , Shukla Diwakar 
Published: December 2022

AbstractSample surveys are often affected by missing observations and non-response caused by the respondents’ refusal or unwillingness to provide the requested information or due to their memory failure. In order to substitute the missing data, a procedure called imputation is applied, which uses the available data as a tool for the replacement of the missing values. Two auxiliary variables create a chain which is used to substitute the missing part of the sample. The aim of the paper is to present the application of the Chain-type factor estimator as a means of source imputation for the non-response units in an incomplete sample. The proposed strategies were found to be more efficient and bias-controllable than similar estimation procedures described in the relevant literature. These techniques could also be made nearly unbiased in relation to other selected parametric values. The findings are supported by a numerical study involving the use of a dataset, proving that the proposed techniques outperform other similar ones.
Generalised Lindley shared additive frailty regression model for bivariate survival data
Authors: Pandey Arvind , Hanagal David D. , Tyagi Shikhar 
Published: December 2022

Abstract
Frailty models are the possible choice to counter the problem of the unobserved heterogeneity in individual risks of disease and death. Based on earlier studies, shared frailty models can be utilised in the analysis of bivariate data related to survival times (e.g. matched pairs experiments, twin or family data). In this article, we assume that frailty acts additively to the hazard rate. A new class of shared frailty models based on generalised Lindley distribution is established. By assuming generalised Weibull and generalised log-logistic baseline distributions, we propose a new class of shared frailty models based on the additive hazard rate. We estimate the parameters in these frailty models and use the Bayesian paradigm of the Markov Chain Monte Carlo (MCMC) technique. Model selection criteria have been applied for the comparison of models. We analyse kidney infection data and suggest the best model.
Effects of imitation and self-imitation practice on L2 pronunciation progress
Authors: Kusz Ewa 
Published: December 2022

AbstractThe major aim of the current study is to verify whether an interdependence between self-imitation practice and L2 pronunciation improvement in the process of second-language acquisition is stronger than traditional imitation tasks. 35 Polish students of Applied Linguistics (at English level B2+) divided into two groups performed imitation and self-imitation exercises in order to improve their L2 pronunciation skills. Three acoustic parameters were considered, namely, articulation rate, speech rate and average syllable duration. The results of the research have revealed that there is a significant interdependence between L2 pronunciation improvement and self-imitation training in terms of speech rate. The outcomes of the research are in line with Ding et al. (2019), De Meo et al.’s (2013), and Felps et al.’s (2009) assertion that the better the match between learners’ voices and their modified equivalents, the more positive impact there is on L2 pronunciation training.