bluuebunny/crossref_metadata_2025_split huggingface dataset:
Proniosomes Nanoparticle for the Treatment of Peripheral Arterial Disease
Authors: Panchal Preyash A. , Patel Shruti , Patel Asha , Ahlawat Priyanka 
Published: September 2023

Background:The common symptom of systemic atherosclerosis is peripheral arterial disease (PAD), which occurs when the artery lumen in the lower extremities gradually becomes blocked by atherosclerotic plaque. The most frequent symptom of lower extremity PAD, called "vascular claudication," which is pain experienced when walking. Partial or total blockage of the peripheral arteries in the upper and lower limbs is called PAD. The danger of death from concurrent coronary artery and cerebrovascular atherosclerosis outweighs the risk of amputation.Objective:However, niosomes have issues with fusion, aggregation, leakage, vesicle sedimentation, and difficulty in sterilizing. A more recent strategy known as pro-vesicular carriers was used to solve these issues. The formulations in Proniosomes are dry and anhydrous, protected with a non-ionic surfactant that serves as a carrier when combined with water.Materials and Methods:Formulation prepared by organic solvent, surfactant, cholesterol, other components and hydration medium. Coacervation Phase separation Technique used for proniosome Nanoparticle. Box Bhenken Design is used for optimization batches.Results:In this context, we shall discuss the development of Proniosome for the treatment of peripheral arterial diseases. From here, we know that proniosome nanoparticles is pro vesicular system good characteristics and effectiveness for treating peripheral arterial diseases.Conclusion:Proniosomes may be created using various techniques, which may impact how they develop along with the drug's characteristics. They increase the drug's stability while being delivered while being entrapped. They don't need particular conditions for handling, protection, storage, or industrial manufacturing.
Investigating Outlier Detection Techniques Based on Kernel Rough
Clustering
Authors: Meng Wang , Wenhang Cao , Hongyan Dui 
Published: September 2023

Background:
Data quality is crucial to the success of big data analytics. However, the
presence of outliers affects data quality and data analysis. Employing effective outlier detection
techniques to eliminate dirty data can improve data quality and garner more accurate analytical
insights. Data uncertainty presents a significant challenge for outlier detection methods and warrants further refinement in the era of big data.

Objective:
The unsupervised outlier detection based on the integration of clustering and outlier
scoring scheme is the current research hotspot. However, hard clustering fails when dealing with
abnormal patterns with uncertain and unexpected behavior. Rough boundaries help identify more
accurate cluster structures. Therefore, this article uses uncertainty soft clustering based on rough set
theory to extend the clustering technology and designs appropriate scoring schemes to capture abnormal instances. This solves the problem of outlier detection in uncertain and nonlinear complex
data.

Methods:
This paper proposes the flow of an outlier detection algorithm based on Kernel Rough
Clustering and then compares the detection accuracy with five existing popular methods using synthetic and real-world datasets. The results show that the proposed method has higher detection accuracy.

Results:
The detection precision and recall of the proposed method were improved. For the detection accuracy, it is superior to popular methods, indicating that the proposed method has a good
detection effect in identifying outlier.

Conclusion:
Compared with popular methods, the proposed method has a slight advantage in detection accuracy and is one of the effective algorithms that can be selected for outlier detection.
In Vivo Evaluation of Chitosan-Titanium Dioxide Nanopowder as Wound
Dressing Material
Authors: Al-Nemrawi Nusaiba , Darweesh Ruba S. , Alrousan Dana 
Published: September 2023

Background:
Films used for wound healing have many advantages, but should be flexible,
robust, adherable and prevent maceration. Both Chitosan (CS) and Titanium dioxide nanopowder
(TiO2 NP) have good properties to accelerate wound healing and can be used in preparing films.

Objective:
CS and TiO2 NP are combined to formulate films for wound healing. The physical, thermal,
chemical, and mechanical characteristics of these films are to be assessed. The antibacterial activity
of the films and their performance on wounded rats will be explored.

Methods:
Films made of CS and TiO2 NP were characterized by FTIR, TGA, DSC, XRD, and SEM.
The films' mechanical characteristics and antimicrobial activity were tested. Films with acceptable
mechanical properties were evaluated on rats.

Results:
Generally, CS-TiO2 films had higher weight and thickness but lowered flexibility compared
to films prepared using CS only. The chosen film showed excellent folding endurance with weight and
thickness of around 21.98 mg and 0.16 mm. The surface pH for CS-TiO2 films was acidic, and for the
selected film, it was 5.18. CS-TiO2 film was active against all studied bacteria and significantly higher
than CS films. The antimicrobial activity of Gram-negative bacteria (P. aeruginosa and E. coli) was
higher than that of Gram-positive bacteria (S. aureus). Finally, adding TiO2 NP to the films accelerated
the healing process of the created wounds in a murine model, compared to control and CS-treated
groups.

Conclusion:
Films of TiO2 NP and CS have suitable properties to be used in wound healing and can
be further used in the future to load drugs.
Evaluating the Effect of Artificial Liver Support on Acute-on-Chronic Liver Failure Using the Quantitative Difference Algorithm: Retrospective Study
Authors: Huang Tinghuai , Huang Jianwei , Liu Timon Cheng-Yi , Li Meng , She Rui , Liu Liyu , Qu Hongguang , Liang Fei , Cao Yuanjing , Chen Yuanzheng , Tang Lu 
Published: September 2023

Background
Liver failure, including acute-on-chronic liver failure (ACLF), occurs mainly in young adults and is associated with high mortality and resource costs. The prognosis evaluation is a crucial part of the ACLF treatment process and should run through the entire diagnosis process. As a recently proposed novel algorithm, the quantitative difference (QD) algorithm holds promise for enhancing the prognosis evaluation of ACLF.

Objective
This study aims to examine whether the QD algorithm exhibits comparable or superior performance compared to the Model for End-Stage Liver Disease (MELD) in the context of prognosis evaluation.

Methods
A total of 27 patients with ACLF were categorized into 2 groups based on their treatment preferences: the conventional treatment (n=12) and the double plasma molecular absorption system (DPMAS) with conventional treatment (n=15) groups. The prognosis evaluation was performed by the MELD and QD scoring systems.

Results
A significant reduction was observed in alanine aminotransferase (P=.02), aspartate aminotransferase (P<.001), and conjugated bilirubin (P=.002), both in P values and QD value (Lτ>1.69). A significant decrease in hemoglobin (P=.01), red blood cell count (P=.01), and total bilirubin (P=.02) was observed in the DPMAS group, but this decrease was not observed in QD (Lτ≤1.69). Furthermore, there was a significant association between MELD and QD values (P<.001). Significant differences were observed between groups based on patients’ treatment outcomes. Additionally, the QD algorithm can also demonstrate improvements in patient fatigue. DPMAS can reduce alanine aminotransferase, aspartate aminotransferase, and unconjugated bilirubin.

Conclusions
As a dynamic algorithm, the QD scoring system can evaluate the therapeutic effects in patients with ACLF, similar to MELD. Nevertheless, the QD scoring system surpasses the MELD by incorporating a broader range of indicators and considering patient variability.
APPLICATION AND COMBINATION OF DIFFERENT FOREIGN LANGUAGE TEACHING METHODS IN ESP CLASSROOM
Authors: Tenieshvili Anna 
Published: September 2023

English for Specific Purposes (ESP) being separate branch of the English Language requires specific approach during the process of teaching. Application of right methodology of teaching is very important for successful ESP teaching, therefore correct selection and combination of different foreign language teaching methods are crucial to ensure that the required results are achieved in the ESP classroom. When working in the ESP classroom ESP teachers base their teaching approach on the principle: “English for Specialty” rather than on the principle: “Specialty in English” the approach characteristic of Content and Language Integrated Learning (CLIL). In our paper we are going to discuss the ways of efficient combination of Grammar-Translation method and Audio-Lingual method using ESP textbooks and materials and also development of listening and speaking skills of ESP learners through different subject videos selected on the basis of linguistic abilities and knowledge of specific terminology by ESP learners. Some of these videos are available on YouTube and other internet platforms. Elements of CLIL approach that imply complete immersion into language and subject matter can be applied in ESP classroom. Their combination with the above-mentioned foreign language teaching methods is possible, especially in those groups of ESP learners whose level of General English is B2 and higher. The parallel can be made between CLIL in ESP teaching environment and Direct method of foreign language teaching in General English teaching environment. In this way we compare partial application of CLIL approach in the ESP classroom to the Direct method of foreign language teaching when it refers to teaching of General English. The main aim of our paper is to consider combination of the following foreign language teaching methods and the methodology of CLIL as the most suitable and efficient way of teaching English for Specific Purposes in the classroom:1) Grammar-Translation method;2) Audio-Lingual method;3) Direct method with elements of CLIL approach when applied in the ESP classroom.
Sistem Pendukung Keputusan Penilaian PKL Siswa SMK Menggunakan Metode Moora
Authors: Warjiyono Warjiyono , Rais Amin Nur 
Published: September 2023

Setiap tahun Universitas Bina Sarana Informatika Tegal secara bertahap menerima siswa-siswi SMK untuk PKL Permasalahan yang terjadi penilaian masih dipengaruhi subjektifitas serta belum proporsional dalam penilaian dan perangkingan siswa-siswi PKL. Tujuan dari penelitian ini adalah akan membangun sebuah sistem berupa sistem informasi penilaian PKL berbasis website menggunakan metode moora. Penelitian ini termasuk jenis penelitian terapan, yaitu jenis penelitian yang digunakan untuk mendapatkan solusi dari permsalahan yang terjadi khususnya penilaian PKL. Sistem informasi penilaian PKL berbasis website ini akan digunakan dosen pembimbing PKL untuk memberikan penilaian, dan mendapatkan hasilnya dengan cepat serta untuk mendukung pembuatan sertifikat/Surat Keterangan telah PKL secara cepat.
Pembuatan Oven Gas Skala Industri Rumah Tangga Untuk Makanan Lemang Ketan Bambu
Authors: Pramudia Heru 
Published: September 2023

Tujuan penelitian ini adalah merancang oven sebagai alat pemanggang Lemang Bambu untuk indusrti rumah tangga dengan panas yang dihasilkan oleh gas elpiji, sehingga hasil olahan lemang lebih hemat waktu, hemat tempat, efisien dan praktis. Sejauh ini produksi lemang ketang bamboo masih secara konvensional yaitu menggunakan tungku arang yang umumnya pembakaran lemang dilakukan di halaman rumah. Alat ini dibuat dalam beberapa tahapan yaitu, (1) Identifikasi kebutuhan, (2) Analisis kebutuhan, (3) Perancangan, (4) Pembuatan dan (5) Pengujian. Dengan popularnya makanan adat ini diseluruh penjuru Indonesia, pengolahan makanan ini pun masih secara tradisional, yaitu menggunakan tungku dengan memanfaatkan panas bara api dengan proses pemasakan yang cukup lama dan posisi bambu harus rutin diputar agar tidak ada bagian yang gosong atau terbakar. Bagian bambu yang gosong cenderung membuat lemang menjadi berkulit atau keras. Kecenderungan yang lain dalam pembuatan ini adalah dilakukan dengan bantuan bara api yang tentunya akan menghasilkan asap yang banyak dan tidak baik untuk kesehatan orang yang membuatnya. Kondisi cuaca juga menjadi perhatian. Karena dalam pembuatan lemang apalagi pembakarannya dilakukan diluar ruangan (tanah lapang), hal ini membutuhkan cuaca yang cerah atau tidak hujan. Oven menjadi salah satu solusi yang dapat mengurangi kegagalan dalam pembuatan lemang bamboo, tentunya biaya produksi oven ini pun terjangkau untuk dimiliki oleh masyarakat sebagai usaha industry rumah tangga. Dengan penggunaan oven dapat menghidari dari adanya produk yang gosong. Proses memutar bambu juga tidak dibutuhkan saat pemanggangan menggunakan oven gas ini. Penggunaan oven gas tentunya tidak akan menghasilkan asap pada saat pemanggangan. Alat panggang ini bisa ditempatkan di dalam ruangan seperti dapur, sehingga tidak membutuhkan ruang yang terlalu luas. Selain waktu pemanggangan lebih singkat, pembuatan lemang bambu lebih aman dan higienis serta hemat tenaga kerja.
Oven Lemang Bambu ini menghasilkan produk Lemang Bambu sesuai harapan, tekstur dan rasa dengan hasil yang sama dengan hasil pengolahan lemang konfensional. Proses pemanggangan lebih singkat dan tidak menimbulkan asap, proses pemanggangan dimana bamboo tidak perlu diputar-putar serta pemanggangan dapat dilakukan di dalam ruangan.
UJI EKSPERIMEN PEMBUATAN ”ADONAN PIZZA” BERBAHAN DASAR TEPUNG BAKAU SEBAGAI SUBTITUSI TEPUNG TERIGU
Authors: Sunantri Yudy - 
Published: September 2023

ABCTRACT
Eksperimental Test of Mangrove Flour as a Substitution of Wheat Flour in Pizza Dough Production

Author: Yudy Sunantri
Politeknik Bintan Cakrawala, program Studi Seni Kuliner
Institusi: Politeknik Bintan Cakrawala, Program Studi Seni Kuliner
Jalan Kota Kapur Kawasan Pariwisata Bintan, Lagoi Bintan Utara,
Kepulauan Riau 29155 Indonesia
Email: yudy.sunantri@gmail.com
This eksperimental study aims to obtain a standard recipe for pizza dough and determine the feasibility of the effect mangrove fruit flour (Bruguiera gymnorrhiza) substitution on texture quality, taste and market viability, the eksperimental was conducted into 4 formulation namely TT ( 100% Wheat Flour: 0% Mangrove Flour), Tt ( 90% Wheat Flour: 10% Mangrove Flour), Tb (60% Wheat Flour: 40% Mangrove Flour), TB (Wheat Flour 40%: Mangrove Flour 60%) with fairly decent results. This data collection was done by various respondents from 40% Italian hotels / restaurants culinary professional, 30% academics, and 30% Bintan, Riau Islands residents in order to ensure the quality of innovative pizza dough from feasible basic ingredients of lindur mangrove flour. The data analysis technique was employed to determine the results and conclusions from the four formulations in the research.
Based on the results and discussion, the mangrove fruit flour based pizza had good results on texture, color and market feasibility indicators, the pizza dough method from lindur mangrove flour can be mixed with wheat flour as its gluten content, because pizza dough is classified as a type of bread dough that requires gluten which highly needed for bread dough.
Thus the objectives of this research is to maximize and utilize the lindur mangrove type in the Bintan island, those mangrove types are very diverse and can help small and medium enterprises (MSMEs) in Bintan to make variants of cakes and breads into culinary businesses by utilizing potential sources.

Keywords: Substitution, lindur mangrove flour, feasibility, micro business
Using Importance-Performance Analysis in The Measurement of Muslim Visitor's Satisfaction with Hotel Facilities in Taiwan
Authors: Mandalia Siska , Hidayat Taufik 
Published: September 2023

Abstract
Many countries in the world are considering tourism as an important sector in their economy. A rapid growth of Muslim population, in consequence increasing the number of Muslim travelers with their high contribution to global tourism revenue, has made Muslims a potential group of customers to the tourism market. Achieving Muslim tourist satisfaction could be very challenging for Non-Islamic Countries, especially Taiwan. To attract the Muslim visitors, Taiwan is eager to offer a Muslim friendly environment since Muslim people have some basic and specific needs in line with their belief and thispracticeis called Muslim travel or Halal tourism. Importance-Performance Analysis was conducted in this study to investigate which hotel attributes satisfy Muslim visitors and to identify their expectations and satisfaction with these attributes. The results indicated that “halal logo or certificate and its display at the entrance of hotel” had the strongest influence on Muslim visitor’s satisfactions with hotels in Taiwan. The results reported will enable hotels to better manage their facilities for Muslim visitors to ensure the sustainability of business performance.
Robotic Process Automation (RPA) – Bibliometric Analysis and Literature Review
Authors: Uklańska Anna 
Published: September 2023

Abstract
This article aims to identify the main approach to robotic process automation (RPA) method and trends in the scientific literature in the field of RPA. Moreover, this analysis is needed to build a model of automation of a certain class of business processes. The author focuses on an analysis of publications from 2012 to 2022, collected from the Web of Science, Scopus, and IEEE Xplore databases. The methodology includes source selection, main search limited to RPA, narrowing criteria, adding criteria for subject area, cluster analysis, and limitation to RPA shortcut to achieve most to the point results. The study presents analysis of publication year, type of publication, cluster analysis, as well as the most cited articles. The cluster analysis allowed identification of four primary areas for which publication analysis was conducted. The main value resulting from the creation of this article is the cluster analysis of the most cited publications in the context of RPA seen in the topics of artificial intelligence and digital transformation. On the top of that, it proves how well RPA is defined as a method and whether description of the RPA implementation model is available.
On n-times differentiable strongly s-convex functions
Authors: Demir Duygu Dönmez , Şanal Gülsüm 
Published: September 2023

Abstract
In this study, some new inequalities for n-times differentiable strongly s-convex functions are introduced. These inequalities are obtained via the perturbed trapezoid inequality. We obtain a better bound for the mentioned inequalities with the strongly s-convex functions. nth derivatives of absolute values of the handled functions are strongly s-convex. Finally, the theorems presented for strongly s-convex functions are reduced to the ones given for s-convex functions when the constant from strongly s-convexity vanishes.
Representation of the solution of the M-Sturm-Liouville problem with natural transform
Authors: Bas Erdal , Karaoglan Merve 
Published: September 2023

Abstract
In this article, we develop the natural transform in terms of the M-derivative improving the basic notions for a new interesting version of the fractional transform. The properties and relations of certain functions for the natural transform of the M-derivative are introduced. The natural transform with the M-derivative is the more general version of the natural transform for the conformable operator. Furthermore, this method is successfully applied to find the general solutions of some fractional differential equations with M-derivative. We propose a significant spectral data with boundary conditions under M-Sturm-Liouville problem. We offer the representation of the solution for the M-Sturm-Liouville problem, depending on both the boundary and initial conditions. Our main aim is to extract the solution representation of the M-Sturm-Liouville problem by using the natural transform and observe the problem by supporting the spectral structure of the M-Sturm- Liouville problem with graphs. Finally, these results show that our new approach is simple, effective and accurate.
Implementation of Artificial Intelligence for Financial Process Innovation of Commercial Banks
Authors: Almustafa Esmat , Assaf Ahmad , Allahham Mahmoud 
Published: September 2023

Purpose: The purpose of this study is to investigate and illuminate the transformative potential of artificial intelligence (AI) in the context of enhancing financial services within Jordanian commercial banks, with a specific focus on credit risk management. By researching into the applications of AI within this sector, the study aims to provide insights into how AI technologies can reshape traditional banking practices and improve the overall efficiency and effectiveness of credit risk management processes.

Theoretical framework: The study is grounded in the theoretical framework of technological innovation and strategic management. It draws from the literature on AI adoption in the financial industry and its implications for operational efficiency, risk assessment, and customer experience. Additionally, the study incorporates concepts related to data analysis, machine learning, and predictive modeling as key components of AI-driven transformation within the banking sector.

Method/design/approach: To achieve the research objectives, a systematic research design is employed, utilizing survey methods as the primary data collection tool. A sample of 143 employees from major banks located in Amman, Jordan, is selected for participation. The survey encompasses questions designed to gather information about the current state of AI integration, challenges faced, and potential benefits within credit risk management and other financial services. This quantitative approach allows for the collection of structured data that can be statistically analyzed to uncover trends and patterns.

Results and conclusion: The findings of the study highlight the substantial potential of AI integration in revolutionizing the operations of Jordanian commercial banks. AI technologies enable more accurate credit assessment, precise analysis of market risks, enhanced financial forecasting capabilities, robust validation of risk models, and advanced evaluation of creditworthiness. Furthermore, the study reveals that AI offers the opportunity for personalized customer service solutions, thereby improving the user experience and guiding customers toward suitable financial services. In conclusion, the study underscores the positive impact of leveraging AI-driven innovation on financial performance and profitability within Jordan's banking sector.

Research implications: This study has implications for academia and the banking industry, contributing to knowledge about AI's strategic use in financial innovation and its application in Jordanian commercial banks for credit risk management and customer service enhancement.

Originality/value: This research stands out by focusing on Jordanian banks' AI adoption, providing distinct insights into challenges and opportunities in a specific context. Its value lies in guiding banks to effectively integrate AI, enhancing credit risk management and financial services for improved performance and innovation.