bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a new biocompatible microemulsion formulation to improve the solubility of celecoxib
Authors: Salabat Alireza , Ghorbani Nesa 
Published: May 2023

Abstract
In this research work, a new biocompatible microemulsion containing castor oil has been formulated to increase the solubility of celecoxib, as a well-known anti-inflammatory drug. In this formulation castor oil has also anti-inflammatory properties. The proposed oil-in-water microemulsion composed of tween 80 as surfactant, isobutanol as co-surfactant, and castor oil as the oil phase. In the first step, the phase diagrams of the microemulsion systems with surfactant to co-surfactant mass ratios of 4:1 and 2:1 were prepared at ambient temperature. Then, using the obtained phase diagrams, the appropriate formulations were selected by combining different percentages of water, oil, surfactant and co-surfactant in the microemulsion region. Some of physic-chemical properties, such as electrical conductivity, density, refractive index, surface tension and particle size of the selected microemulsion formulations have been determined at 298 K. After that, the solubility of celecoxib in the selected formulations was determined and compared with other reported microemulsion formulations. Interesting results from this section indicated that the solubility of celecoxib significantly increased compared to pure water and the previous proposed microemulsion formulations. The results of this study can be used to provide suitable formulations based on the biocompatible microemulsions for celecoxib in pharmaceutical industry.
Performance benchmarking on several regression models applied in urban flash flood risk assessment
Authors: Hu Haibo , Yu Miao , Zhang Xiya , Wang Ying 
Published: May 2023

Abstract
To evaluate the performances of regression models applied in the urban flash flood risk assessment (UFFRA), the historical urban flash flood occurrences points were used to build the Voronio polygon networks for calculating Repley’s K values which can be adopted to be the risk value and the predictands in regression. The first level risk indicators of hazard, vulnerability, sensitivity and exposure risk factors in the risk assessment, as well as the sensitivity subordinate indicators of imperviousness and terrain factor, were listed to be the predictors in the regression model. Subsequently, methods of the linear regression equation (LRE), nonlinear regression power-form function (PF) and a simplified power-form function (SPF), as well as Support Vector Machine (SVM) model and Random Forests (RF) model, were all nominated for the performance evaluation and comparison of the fitness of their regression relationships between the predictors and the predictands. With the support of samples, the benchmarking firstly demonstrated the SPF is the best of the regression equation; but the full PF equation can’t be figured out on account of the sample data deficiency. The SVM model behaves better than the regression equations of SPE and LRE, while the SVM of nonlinear Polynomial kernel function (PKF) is slightly better than that of the nonlinear Gussian kernel function (GKF). Above all, the RF model performed perfectly in the regression fitting, which the relative bias (BIASr) index is -0.009 and the relative mean squared error (RMSEr) is 0.0773. Meanwhile, it mostly resolves the problems of overfitting, outliers and noise in regression. The variable importance (VI) evaluated by the RF model indicated that the top four important risk factors are the imperviousness, terrain factor, vulnerability, and exposure factor, which the VI index value is 0.38, 0.16, 0.11 and 0.1, respectively. Unexpectedly, the hazard factor appears to be the least important factor with a VI value of 0.04. The homogeneity of invariable hazard being preserved in regional climate background makes the hazard a minor role in risk contribution. The model performance evaluation demonstrated the artificial intelligence (AI) RF model should be recommended to be the common-use model for aftermath meteorology related risk assessment. On the other hand, the VI analysis tools of RF were also recognized to be a welcome toolbox items for the risk analysis.
Challenges of fully online learning to dermatology education during the COVID-19 pandemic
Authors: Meng Yunfang , Sun Mingxia , Guo Jing , Jiao Jing , Dang Ningning 
Published: May 2023

Abstract
Background Blended learning has been proven to be an effective strategy for many subjects. Blended learning of dermatology was switched into fully online learning because of the lockdown regulation in our university during COVID-19 pandemic.Methods We carried out this study to evaluate whether the shift to overall online learning is as effective as traditional blended learning. We compared traditional blended learning and fully online learning by evaluating the achievement scores in the final examination and students’ perceptions in questionnaires of 2018–19 school year and 2019–20 school year.Results The present study demonstrated that fully online learning could not perform as well as traditional blended learning in terms of examination scores. However, lots of students rated the fully online education mode high and responded that pure online learning enhanced their self-study ability, which is essential for medical students to gain knowledge in this internet age.Conclusion In conclusion, online courses should be improved to kindle students’ interest and increase their learning efficiency.
Psychromarinibacter sediminicola sp. nov., a novel salt-tolerant, metabolically diverse bacterium isolated from a solar saltern sediment, and comparison between members of family Roseobacteraceae
Authors: Wang Yu-Hui , Liu Jun-Cheng , Du Yi-Heng , Xu Jin-Hao , Du Zong-Jun , Ye Meng-Qi 
Published: May 2023

Abstract
Known for its species abundance and evolutionary status complexity, family Roseobacteraceae is an important subject of many studies on the discovery, identification, taxonomic status, and ecological properties of marine bacteria. In this study, six species from three genera (Psychromarinibacter, Lutimaribacter, and Maritimibacter) of family Roseobacteraceae were analyzed and compared, many intergeneric differences and intra-generic diversity were found in phylogenetic, genomic, biochemical, and chemo taxonomical properties. Moreover, a novel strain, named C21-152T was isolated from solar saltern sediment in Weihai, China. The values of 16S rRNA gene sequence similarity, the average nucleotide identity (ANI), and the digital DNA–DNA hybridization (dDDH) between genomes of the novel strain and P. halotolerans MCCC 1K03203T were 97.19%, 78.49%, and 21.90%, respectively. Genome sequencing revealed a complete Sox enzyme system related to thiosulfate oxidization as well as a complete pathway for the final conversion of hydroxyproline to α-ketoglutarate. In addition, strain C21-152T was resistant to many antibiotics and had the ability to survive under salt tolerance. This strain had versatile survival strategies in saline environments. Some of its physiological features enriched and complemented the knowledge of the characteristics of genus Psychromarinibacter. Optimum growth of strain C21-152T occurred at 37℃, with 5-6% (w/v) NaCl and at pH 7.5. According to the results of the phenotypic, chemotaxonomic characterization, phylogenetic properties and genome analysis, strain C21-152T should represent a novel specie of the genus Psychromarinibacter, for which the name Psychromarinibacter sediminicola sp. nov. is proposed. The type strain is C21-152T (=MCCC 1H00808T =KCTC 92746T =SDUM1063002T).
Climate change and low species drought tolerance will negatively impact plant richness in the Neotropical seasonally dry forests
Authors: Manrique-Ascencio Avril , Prieto-Torres David A. , Villalobos Fabricio , Mercado-Gómez Jorge , Guevara Roger 
Published: May 2023

Abstract

Neotropical seasonal dry forest (NSDF) is one of the most threatened ecosystems under global climate change (GCC) predictions, with likely species losses and uneven modification of diversity patterns all through its distribution. Nonetheless, few studies have evaluated the GCC impacts on the diversity patterns of NSDF plants. The lack of continental-scale approaches restricts our understanding of GCC consequences in the high beta-diverse NSDF. We showed some potential impacts of GCC on the distributions of over 1000 species of the NSDF, species richness patterns, and species composition of assemblages (beta diversity). We focus on five representative plant families that are abundant, dominant, and have a high endemism rate within the NSDF. These families were Cactaceae, Capparaceae, Fabaceae, Malvaceae, and Zygophyllacea. We reconstructed potential species distributions in the present and future scenarios (2040–2080) considering an intermediate Shared Socio-economic Pathway scenario and two dispersal ability assumptions on the taxa. We correlated climate-induced changes in the species distribution ranges with drought tolerance. We found that, even under a favorable dispersal scenario, species distribution and richness showed significant declines in the future across sites where temperatures are predicted to increase in the future. In Fabaceae, we observed a negative correlation between drought tolerance and changes in species distribution ranges in the future. Our results suggested biotic homogenization across the NSDF, but biotic heterogenization is the likely outcome at the continental scale under dispersal limitations. This information is critical for further planning of conservation actions as it can help to assess the current and future value of NSDF-protected areas and define new areas worth protecting.
Towards a Multi-Agent approach for Workflow Scheduling on Hybrid Clouds
Authors: Gharsellaoui Hamza , Hafsi Haithem 
Published: May 2023

Abstract
Since scientific research and industrial applications are becoming ever-increasingly demanding in computing resources, Cloud Computing infrastructures are attracting a widespread interest thanks to their promising hallmarks such as scalability, high-performance, reliability and the pay-per-use strategy. The execution of these high-performant applications on such kind of computing environments in respect of optimizing many conflicting objectives brings us to a challenging issue commonly known as the Multi-objective workflows scheduling on large scale distributed systems. Bearing this in mind, we outline in the present paper our proposed approach called Genetically-modified Multi-objective Particle Swarm Optimization (GMPSO) for scheduling application workflows on hybrid Clouds in the context of high-performance computing in attempt to optimize Makespan and Cost. To achieve this, we have designed our proper encoding as well as a set of particular operators. Conducted simulations lead to significant results compared with a set of well-performed algorithms such NSGA-II, OMOPSO and SMPSO, especially, for the most-demanding workload of workflows.
Novel Screening Tool Using Voice Features Derived from Simple, Language-independent Phrases to Detect Mild Cognitive Impairment and Dementia
Authors: Mizuguchi Daisuke , Yamamoto Takeshi , Omiya Yasuhiro , Endo Koji , Tano Keiko , Oya Misa , Takano Satoru 
Published: May 2023

Abstract
Appropriate intervention and care in detecting cognitive impairment early are essential to effectively prevent the progression of cognitive deterioration. Diagnostic voice analysis is a noninvasive and inexpensive screening method that could be useful for detecting cognitive deterioration at earlier stages such as mild cognitive impairment. We aimed to distinguish between patients with dementia or mild cognitive impairment and healthy controls by using purely acoustic features (i.e., nonlinguistic features) extracted from two simple phrases. Voice was analyzed on 195 recordings from 150 patients (age, 45–95 years). We applied a machine learning algorithm (LightGBM; Microsoft, Redmond, WA, USA) to test whether the healthy control, mild cognitive impairment, and dementia groups could be accurately classified, based on acoustic features. Our algorithm performed well: area under the curve was 0.81 and accuracy, 66.7% for the 3-class classification. Our language-independent vocal biomarker is useful for automated assistance in diagnosing early cognitive deterioration.
Development of Sharing Economy Business Model for Company Sustainability: A Case Study on Gojek
Authors: Dewi Lily Elvina , Sundiman Didi 
Published: May 2023

The definition of the sharing economy is still unclear and causes inconsistent research contributions and the application of the concept of the sharing economy business model. The research focused on developing sharing economy business model that supported sharing economy for company sustainability. The research approach was a qualitative research, the object was data related to the sharing economy business model on company sustainability. The sample data were collected from consumers’ comments and reviews on the Gojek application on Google Playstore. The data used were 23.888 reviews. Then, Bigram was used as text processing and language developed by the system to identify topics in the comment data using Latent Dirichlet Allocation (LDA) topic modeling to determine trending topics. The results show that the sharing economy business model have an important role in company sustainability. There are important elements, such as type of platform, shared practice, place of interaction, review system, and revenue stream. The research also provides additional contributions to scientific development in the managerial field. It is expected to support the sharing economy theory and business model. Last, the research results can support and prove that the sustainable company is good at implementing the sharing economy business model for company sustainability.
Investigating the Naming Pattern of Places from the Perspectives of Sikkanese: An Anthropolinguistics Study
Authors: Janggo Wendelinus , URAN MARIA ARNOLDIANA DADJAN URAN 
Published: May 2023

The research investigated the naming pattern of places from the perspective of Sikkanese. Specifically, it was an attempt to describe (a) the place naming pattern in Sikka regency, (b) the meaning behind naming from the perspective of Sikanese, and (c) the relationship between the naming pattern and its meaning and its cultural values. The research used anthropolinguistic theory, toponymy, meaning, and cultural values. It used in-depth interview techniques as its main source and some previous literature studies as its secondary source. The analysis method used was the descriptive qualitative method. The results show that the lingual unit of naming pattern in Sikka regency covers a word, a combination of more than two words, and a noun phrase (Descriptive Adjective+Noun and Noun adjunct+ Noun). Meanwhile, in terms of the toponymy aspect, the place naming pattern in Sikka regency consists of three fundamental aspects, such as (1) manifestation aspect, (2) social aspect, and (3) cultural aspect. Besides that, the researchers also notice an interesting phenomenon where there is a combination between manifestation aspect (flora) and cultural aspect (myths) in the naming pattern of several places. Meanwhile, in terms of meaning, it is found that each place in Sikka regency has its own peculiar characteristics that closely relate to their history, beliefs, folklore, legend, natural surroundings, and their understanding of something in perceiving the world. In addition, the historical meaning also plays a vital role when it is used as a reminder for the present generation about their cultural heritage from their past generations.
ESTIMATION OF PLASMA VOLUME IN PATIENTS PRESENTING WITH ACUTE DECOMPENSATED HEART FAILURE USING KAPLAN – HAKIM FORMULA AND CORRELATION OF PLASMA VOLUME SHIFT WITH OUTCOMES
Authors: Das Dipak Rajan , DAS BISWAJIT , SINGH ANIL KUMAR 
Published: May 2023

Objective: Simple and non-invasive methods are required to estimate the plasma volume expansion to assess the congestion status in heart failure patients. To determine the effectiveness of Kaplan–Hakim formula in the quantification of the plasma volume expansion in acute decompensated heart failure (ADHF) and the correlation of the outcome factors with plasma volume shift (PVS).
Methods: This prospective study included 384 participants diagnosed with ADHF. Newly diagnosed cases and patients receiving treatment for the past 6 months were included. Kaplan–Hakim formula was used to estimate the plasma volume. Duration of hospital stay, subsequent hospitalization for heart failure (HHF), cardiovascular disease mortality, and all-cause mortality rate at the end of follow-up time was also noted.
Results: Among the study participants, 88 patients (22.92%) had PVS <5%, while the remaining 88.5% of the patients had PVS more than or equal to 5%. A strong association between guideline-recommended dose of ACEi/ARBs, beta-blockers, and normalcy of plasma volume status (p<0.001) was found. The mean duration of stay, number of repeated hospitalization, the incidence of worsening renal function, CV mortality rate, and all-cause mortality rate were significantly lower in participants with PVS ≥5% in comparison to those who had PVS < 5%. Kaplan–Hakim formula is a more practical and easy way to measure volume status in patients with ADHF.
Conclusion: The use of RAAS antagonists and beta-blockers in their optimal dosage is associated with favorable plasma volume status in chronic HF patients.
On βκ-normal spaces
Authors: Singh Sumit , Rana Manoj Kumar 
Published: May 2023

A topological space X is called βκ-normal if for every pair of disjoint regularly closed sets A and B, there exist disjoint open sets U and V of X such that = A, = B and ∩ = ∅. In this paper, we investigated a weaker form of normality called βκ-normality which is simultaneous generalization of normality, κ-normality and almost β-normality. Some new decomposition of normality is obtained in terms weakly β-normal spaces.
Os tratados internacionais no sistema jurídico angolano
Authors: Francisco João A. 
Published: May 2023

O presente artigo sobre os tratados internacionais no sistema jurídico angolano é uma pesquisa que incide sobre o Direito dos Tratados no Direito Angolano, assim tendo como questão de partida: que relevância têm os Tratados Internacionais no Ordenamento Jurídico Angolano? E como a Lei do Tratados regulamenta o processo de conclusão dos tratados no Direito Interno Angolano e no Direito Internacional? Assim sendo, o artigo incidirá sobre os seguintes aspectos: conceitualização de tratados, visão histórico cultural africana, os tratados e efeitos no direito angolano, com uma visão de conjunto as Constituições de 1975, 1992 e 2010, algumas leis que à data dos factos vigoraram culminando com a actual Lei n.º 4/11, de 14 de Janeiro, Lei dos Tratados Internacionais
Eksplorasi Cendawan Jamur Kontaminan Pada Biji Kakao Kering (Theobroma cacao L.)
Authors: Umrah Umrah , Idrus Mufida Al , Mutmainah Mutmainah 
Published: May 2023

Eksplorasi cendawan kontaminan pada biji kakao kering perlu dilakukan sebagai bentuk penanganan pascapanen untuk menentukan kualitas biji kakao kering, mengingat komoditi ini diproses langsung menjadi bahan pangan sehingga seharusnya bebas dari cemaran cendawan. Penelitian ini bertujuan untuk mengetahui jenis cendawan kontaminan yang terdapat pada biji kakao kering dan persentase serangan cendawan terhadap biji kakao di 5 Kecamatan yang ada di Kabupaten Sigi, Sulawesi Tengah. Metode yang digunakan dalam penelitian ini yaitu metode stratified random sampling dan survei menggunakan literatur Pitt and Hocking (2009). Tahapan isolasi dilakukan pada media PDA. Hasil yang diperoleh yaitu terdapat 27 isolat cendawan dari tahapan isolasi terdiri dari 1 genus dan 4 spesies yakni Aspergillus flavus, A. restrictus, A. niger, dan A. chevalieri. Tersebar di Kecamatan Kulawi sebesar 100%, Kecamatan Kulawi Selatan sebesar 100%, Kecamatan Dolo sebesar 100%, Palolo sebesar 88,8%, dan Kecamatan Pipikoro sebesar 70,3%.
Pertumbuhan dan Hasil Tanaman Bawang Merah Varietas Lembah Palu (Allium wakegi Araki) pada Berbagai Waktu Penyiangan Gulma
Authors: Laude Syamsuddin , Alhakim Luqman 
Published: May 2023

Sulawesi Tengah khususnya Lembah Palu yang beriklim kering terdapat jenis bawang merah yang dapat tumbuh dan berproduksi dengan baik. Jenis bawang merah ini dikenal dengan nama bawang merah varietas lembah Palu dan kemudian menjadi produk olahan siap saji yang biasa disebut bawang goreng. Produksi bawang merah varietas lembah Palu akhir-akhir ini mengalami penurunan. Penurunan ini disebabkan oleh beberapa faktor salah satunya adalah teknik budidaya yang belum maksimal antara lain adanya gulma yang tumbuh bersama dengan bawang merah dalam memanfaatkan sumber daya yang terbatas. Penelitian yang bertujuan untuk mengetahui pengaruh waktu penyiangan gulma terhadap pertumbuhan dan hasil tanaman bawang merah varietas lembah Palu telah dilaksanakan di Desa Oloboju Trans SP II Kabupaten Sigi, provinsi Sulawesi Tengah mulai dari Bulan Juni sampai dengan September 2022. Penelitian menggunakan Rancangan Acak Kelompok dengan 3 (tiga) ulangan. Data yang diperoleh dianalisis dengan menggunakan Analysis of Variance (ANOVA) dan dilanjutkan dengan uji BNJ α 0,05. Perlakuan adalah tanpa penyiangan (P0), penyiangan gulma umur 15 HST (P1), penyiangan gulma 30 HST (P2), penyiangan gulma 45 HST (P3) dan bebas gulma sampai panen (P4). Hasil penelitian menunjukkan bahwa waktu penyiangan gulma berpengaruh nyata terhadap tinggi tanaman, jumlah daun, jumlah umbi perumpun, berat segar umbi perumpun, diameter umbi, berat kering umbi perumpun, hasil ha-1 dan berat kering gulma, namun tidak menunjukkan adanya pengaruh terhadap jumlah umbi perumpun. Bebas gulma selama pertumbuhan tanaman (P4) diperoleh hasil tertinggi yaitu 5,04 ton/ha, namun tidak berbeda dengan waktu penyiangan gulma 30 HST (P2) dan penyiangan gulma 45 HST (P3) masing-masing dengan hasil 4,8ton ha-1 dan 4,87 ton ha-1.
On a Middle Jurassic phylloceratid ammonite from the Bakony Mts (Hungary)
Authors: Galácz András 
Published: May 2023

Unknown fossil collections from the Bakony Mts, collected by J. Nosky Jnr. during his mapping activity in the 1940s and 1950s were found in the storage facility of the Hungarian Geological Institute in the 2010s. In these materials from the Upper Bajocian (Middle Jurassic) from the Som-hegy of Bakonybél (formerly known as part of Pénzeskút) some specimens were determined by Nosky in 1959 as ‘Canaliphylloceras’ nov. gen. nov. sp.’ However, Nosky never published these faunal studies, and his designations have only been preserved as notes written on the labels of the specimens. The same form identified by Nosky was also identified as a new species from Gyenespuszta, another Middle Jurassic locality in the Bakony Mountains, in 1980 with the name Adabofoloceras hajagensen. sp. Galácz, 1980. The name suggested by Noszky is invalid; however, his distinction of these forms as representing an individual taxon is justified. This contribution is a tribute to Jenő Nosky, a great researcher of the Hungarian Jurassic by making his faunistic study known and showing his original specimens.