bluuebunny/crossref_metadata_2025_split huggingface dataset:
Early Experience With an Endocrinology Preoperative Fast-Track Program for Optimizing Spine Surgery Candidates With Poorly Controlled Diabetes Mellitus
Authors: Crawford Charles H. , Glassman Steven D. , Gum Jeffrey L. , Barriger Megan L. , Carreon Leah Y. 
Published: February 2023

Introduction:
Previous studies demonstrated an increase in adverse outcomes for patients undergoing elective surgeries with poorly controlled diabetes mellitus. At a large, tertiary-care spine center with a notable population of patients with poorly controlled diabetes, an Endocrinology Fast-Track (EFT) program was developed to improve patient optimization before elective spine surgery. The purpose of this study was to report our early experience.

Methods:
Seventy-five patients who were scheduled for elective spine surgery were noted to have Hgb A1c > 7 on preoperative evaluation. Thirty-two patients accepted referral to the EFT program and 43 declined (non-EFT). Mean preoperative Hgb A1c was similar between groups (EFT: 8.79 versus non-EFT: 9.26, P = 0.221). The Fast-Track program included counseling, education, and medical management.

Results:
Patients in the two groups were similar in number of females (EFT: 17 versus non-EFT: 17, P = 0.348), age (EFT: 57.7 versus non-EFT: 60.6, P = 0.280), and body mass index (EFT: 34.6 versus non-EFT: 33.0, P = 0.341). A smaller number of smokers were there in the EFT group (1) compared with the non-EFT group (15, P = 0.003). The proportion of patients on insulin (EFT: 19 versus non-EFT: 23, P = 0.814) and oral hypoglycemics (EFT: 29 versus non-EFT: 39, P = 0.983) was similar between the two groups. Surgical clearance for patients with a documented preoperative Hgb A1c of < 7 or equivalent fructosamine level was significantly better in the Fast-Track group compared with the non–Fast-Track group (91% versus 42%, P = 0.000). Although most patients who declined the Fast-Track program did not obtain clearance for surgery, mean Hgb A1c was improved at the latest follow-up in both groups for those who obtained surgical clearance (7.10 versus 6.78, P = 0.470).

Discussion:
A novel EFT program was successful in obtaining acceptable blood glucose control in patients recommended for spine surgery who had poorly controlled diabetes mellitus on preoperative evaluation. The improved blood glucose control was maintained at the latest follow-up.
Litteratur, teori, terrorism
Authors: Persson Magnus 
Published: February 2023

Literature, theory and terrorism
In this paper I chart some of the numerous connections between literature, theory and terrorism. Ever since the emergence of romanticism, the artistic ideal of transgression has played a prominent role in aesthetic theory and practice. In late modernity, however, the notion of transgression has become so common in all fields of culture, that its critical potential must be questioned. This complex issue is discussed here in relation to both literary and theoretical examples.
THỬ NGHIỆM MỘT SỐ PHƯƠNG PHÁP DÒ TÌM TỐI ƯU THAM SỐ TRONG DỰ BÁO THỦY VĂN CHO LƯU VỰC HỒ BẢN VẼ
Authors: Dương Thị Thanh Hương  , Nguyễn Thị Hằng  , Nguyễn Chính Kiên  , Văn Thị Hằng  
Published: February 2023

Trong các mô hình thủy văn cần phải hiệu chỉnh nhiều tham số cho từng lưu vực, việc hiệu chỉnh này phụ thuộc vào kinh nghiệm của người làm dự báo. Trong bài báo này, nhóm tác giả thử nghiệm một số phương pháp dò tìm tối ưu để tìm ra bộ tham số phù hợp nhất cho lưu vực. Mô hình thương mại MIKE 11 - NAM, HEC-HMS và mô hình tự phát triển ImechTV2 được áp dụng tính toán cho lưu vực hồ Bản Vẽ.
Với bộ thông số đã dò tìm trong cơn lũ năm 2018, nhóm tác giả áp dụng kiểm định cho cơn lũ năm 2021 đạt được kết quả tốt. Mặc dù thời gian dò tìm của mô hình thủy văn phân bố ImechTV2 là lớn nhưng chỉ số đánh giá mô hình Nash-Sutcliffe Efficiency (NSE) cho thấy hiệu quả tính toán tốt hơn so với mô hình thủy văn thông số tập trung MIKE 11 - NAM và HEC-HMS.
Pragmatism in practice: Bricolage as a methodological framework for SoTL
Authors: Honeychurch Sarah 
Published: February 2023

I begin this paper by discussing some of the issues that scholars face when they begin to make the transition from discipline-based research to SoTL. I take seriously the fear that many feel when attempting to move into what they perceive to be unfamiliar territory and I encourage readers to face their own fears as a first step towards resolving them. I suggest that, although many scholars are intimidated by the thought of SoTL because they believe that it is totally alien to them, in fact they have gained skills and experience elsewhere that are transferrable into SoTL: the terminology might be unfamiliar, but the practices need not be. In order to explain this, I introduce the concept of bricolage (which, as I understand it, involves taking existing resources and repurposing them) and show how this practice can be used to develop a methodological approach to SoTL. In so doing I describe a methodology for SoTL that can be adopted and adapted by any scholar, whatever their disciplinary background, and that helps scholars to make the transition from disciplinary research to scholarship of teaching and learning. I end by giving a set of recommendations for those wanting to use bricolage for themselves, and a call for others to join me in the practice of bricolage.
From Statistics Anxiety to SoTL: How a scholarly enquiry led to professional growth
Authors: McEwan Michael , Jack Eilidh , Alexander Craig , Bock Mitchum 
Published: February 2023

In higher education academic staff are experts: disciplinary experts. They are often required to have significant research expertise, research degrees and a long track record of formal and experiential learning in their chosen specialist subject area. Then, after a long research apprenticeship, they finally get a teaching role. The UKPSF, Advance HE and even, to some extent, the Teaching Excellence Framework, all exist to professionalise teaching as a legitimate career in higher education but still, on appointment, most early career lecturers are subject experts but novice teachers.
There is a growing professional requirement for higher education academic staff to adopt a scholarly approach to learning and teaching practice, to gain professional recognition as teachers, and to undertake scholarship of teaching and learning as part of ongoing and continuing professional development. Whilst taking a scholarly approach to practice is an expectation of the UKPSF, and scholarly teaching practice is a characteristic of expertise in teaching, what role does SoTL play in professional development?
This article explores how a significant first foray into SoTL for early career statistics lecturers has resulted in unexpected learning for those who engaged in it. A study on how statistics anxiety may differ amongst different cohorts of students became a vehicle for deep learning about teaching, about students, about course design and pedagogy, and about SoTL. This led to a ‘critical awakening’ as scholarly teachers through the process of data collection, analysis, and reflection.
The aim of this article is to showcase the value not only of pedagogical evaluation as a scholarly output and source of publication, but also that the process of engaging in SoTL, whether it results in successful outputs or not, is of extreme value in becoming an expert scholarly teacher in higher education.
Diffusion and Thermal Shock Behaviour of Silicate Dental Ceramics
Authors: ERTUĞ Burcu 
Published: February 2023

The purpose of this study is to examine the diffusion and thermal shock behaviour of the alternative dental silicates. The samples derived from BaO-SiO2 system have been produced by melting process and followed by the heat treatment. X-ray examinations have indicated that the amount of orthorhombic sanbornite phase rised due to treatment temperature as revealed by the peak intensities. The alteration of the morphology by treatment temperature was evident from scanning electron microscopy SEM images. Crystallization at low temperature produced small crystallites and coarsening was not observed with a rise in temperature. The failure of the dental samples after the thermal shock test was examined using SEM. A continuous crack geometry and very few crack branching were observed. Diffusivity constant (D) and diffusion rate were examined vs treatment temperature for the present system. Diffusion depth (L) was doubled when the crystallization treatment was applied. Based on the obtained results, these silicate samples might take part in the further characterization studies to be used as alternative dentistry materials.
Evaluation SSG-LRR Model on an Homogeneous Turbulence under Inclined Shear for High and Low Stratification: Shear Number Effect
Authors: Thamri Lamia , Naffouti Taoufik 
Published: February 2023

This chapter develops proposals for an evaluation coupled second order model of SSG-LRR on an homogeneous turbulence submitted to an inclined shear for high and low stratification. The effect of Shear number on thermal and dynamic turbulent fields of the problem is performed for Shear number fixed at 2, 6, 14 and 20. Two values of Froude number equal to 0.35 and 1.29 are adopted for all numerical simulations corresponding to high and low stratification, respectively. For all simulations, value of angle theta is fixed at θ = π/4 corresponding to the angle between the shear and the vertical gradient of stratification. SSG-LRR model is adopted to compute turbulent parameters of principal component of anisotropy b12, normalized turbulence dissipation ε/KS and the density flux ρu1¯. A good agreement is detected by comparison of findings via model of SSG-LRR with the reported results in the literature by Direct Numerical Simulation of Jacobitz (DNSJ). It is found that the variation of Shear number predict a very strong influence on thermal and dynamic turbulent characteristics. Hence, findings with SSG-LRR model prove the existence of an asymptotic equilibrium states for various thermal and dynamic parameters in particularly for a low stratification.
Mollusk Shell Waste as Composite Photocatalyst for Methylene Blue Removal
Authors: Dzinun Hazlini , Amila Diyanah Kamarul Bharin Nurul , Binti Md Nizam Norsyazwani , Ean Lim Hui , Danish Haikal Bin Sha’ari Ahmad , Amjad Bin Noor Azlan Muhammad 
Published: February 2023

Mollusk shell is abundant in particular areas and frequently deposited in landfills, contributing to environmental pollution. However, mollusk shell waste has been proven as an absorbent that has a high possibility of acting as a photocatalyst when integrated with metal support in composite form due to the synergistic effect. Therefore, in this study, mussel and cockle shells as agricultural wastes were selected to be innovated as support for photocatalysts. The solid-state dispersion (SSD) method was used to prepare a composite photocatalyst where mussel and cockle were integrated with titanium dioxide (TiO2) nanoparticles at a ratio of 9:1. In total, 100% of mussel and cockle were used as control samples. The prepared composite photocatalyst was evaluated with methylene blue (MB) removal in the suspension system. The result reveals that mussel/TiO2 and cockle/TiO2 composite photocatalyst show 25.92 and 24.08% for MB removal within 2 hours. It is due to the prepared composite photocatalyst particle sizes, where mussel/TiO2 and cockle/TiO2 were 259 and 268 nm, respectively. It is interesting to note that the prepared composite photocatalyst particle size should be in nanosize, where it can enhance the photocatalytic performance. Overall, agricultural waste should be utilized to ensure a clean environment for future generations.
Extraction of a severely impacted mandibular third molar using a sagittal split osteotomy – a case report
Authors: O’Dwyer Sinéad , Kelly Mairéad , Pierse Dermot 
Published: February 2023

##Statement of the problem: Mandibular third molar tooth impaction is a frequently encountered pathological phenomenon in oral and maxillofacial surgery. Deeply impacted mandibular third molars require extensive bone removal to facilitate extraction. Sagittal split osteotomies provide an alternative treatment option, which can preserve bone and reduce the risk of pathological or iatrogenic jaw fracture in high-risk cases. ##Purpose of the review Clinical awareness of alternative extraction techniques is fundamental to the attainment of optimal patient outcomes. This case report provides an overview of the indications, risks, procedure and outcomes of the sagittal split osteotomy as a technique for the removal of a deeply impacted mandibular third molar. ##Method A case report of surgical removal of an impacted third molar and associated dentigerous cyst by sagittal split is presented. Patient consent was obtained prior to surgery. The chart was reviewed, and clinical information gathered and compiled into a case report. A review of the literature was then carried out to compare the technique presented with similar cases. ##Conclusion This case report highlights the value of sagittal split osteotomy for the removal of deeply impacted mandibular third molars. As part of informed consent, clinicians should consider the sagittal split osteotomy as an alternative treatment option for patients with a high risk of mandibular fracture.
Application of the new periodontal classification: part 3
Authors: da Mata Cristiane , Hayes Martina , Roberts Anthony 
Published: February 2023

The World Workshop on the Classification of Periodontal and Peri-implant Diseases and Conditions was convened in 2017 and resulted in the publication of a new classification system in 2018.1 This replaces the formerly used 1999 (Armitage) Classification.2 The complete Workshop proceedings are available to clinicians for free online via the European Federation of Periodontology (EFP) website.3 The new process for diagnosing and classifying cases of periodontitis incorporates staging and grading of each case.4 At its simplest, the stage represents an interpretation of periodontitis severity and complexity of management of the case. The grade provides supplemental evidence on the historic rate of disease progression, and can help to identify cases where risk factors exist and/or where expected outcomes of therapy may be less favourable.5 Diagnostic decision trees may be of value to practitioners in applying the new classification in daily practice. The current series utilises the decision tree published by the British Society of Periodontology (BSP),6 as this arguably represents the simplest approach to classifying periodontitis cases.
Oral care for people with cystic fibrosis requiring a solid organ transplant
Authors: O'Leary F. , Coffey N. , Burke F.M. , Hayes M. 
Published: February 2023

This clinical feature outlines the oral concerns that may arise in patients requiring solid organ transplantation as a result of cystic fibrosis. The aim of the feature is to provide recommendations to dental practitioners for the pre-surgery dental health check and post- transplantation dental management of such patients. It also outlines therapeutic management of solid organ transplant patients who may have oral consequences.
Prediction of shear strength of corrosion reinforced concrete beams using Artificial Neural Network
Authors: Asteris Panagiotis G. , Nguyen Thuy-Anh 
Published: February 2023

The shear strength of corroded reinforced concrete (CRC) beams is a critical consideration during the design stages of RC structures. In this study, we propose a machine learning technique for estimating the shear strength of CRC beams across a range of service periods. To do this, we gathered 158 CRC beam shear tests and used Artificial Neural Network (ANN) to create a forecast model for the considered output. Twelve input variables indicate the geometrical and material properties, reinforcing parameters, and the degree of corrosion in the beam, whereas the shear strength is the output considered. The database is designed to employ 70 percent of the data point to train the model and 30 percent to assess the performance. The model makes outstanding predictions, according to the results, with an R2 value of 0.989. In addition, five empirical shear strength models in the literature are utilized to test the suggested ANN model, demonstrating that the new model performs much better. With any given service period, the suggested time-dependent prediction model can offer the shear strength of CRC beams.
Forecasting Construction Price Index using Artificial Intelligence Models: Support Vector Machines and Radial Basis Function Neural Network
Authors: Tuan Thanh Nguyen  , Dam Duc Nguyen  , Son Duc Nguyen  , Indra Prakash  , Phong Van Tran  , Binh Thai Pham  
Published: February 2023

Estimation of Construction Price Index (CPI) is important for a market economy and it is a measure to manage construction investment costs. This is a tool to help organizations and individuals to reduce the effort and management of expenses for construction projects by reducing time of procedures for calculating and adjusting the total investment for the estimation and evaluation of contract price. The CPI is an indicator that reflects the level of construction price fluctuations of the type of work over time. In this study, the CPI data of Son La province, Vietnam from January 2016 to March 2022 (75 dataset) has been used for the modelling. Two Artificial Intelligence (AI) models namely Support Vector Machine (SVM) and Radial Basis Function Neural Network (RBFN) were proposed to predict the CPI based on limited input data. Performance of the models in correctly predicting CPI was evaluated using standard statistical indicators such as Coefficient of Determination (R2), Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) based on the historical CPI data. The results show that performance of both the models is good in predicting CPI, but performance of the SVM model (R2 train = 0.915, R2 test = 0.811) is the best in comparison to RBFN model (R2 train = 0.985, R2 test = 0.733). The proposed AI models can be used to quickly and accurately predict the CPI of an area to help management agencies, investors, construction contractors for assessing cost of construction for the purchase and development of properties/ infrastructures.
Ứng dụng phương pháp khoa học dữ liệu để dự báo tuổi phát triển của sâm và phân tích các yếu tố ảnh hưởng
Authors: Ngô Thị Thu Tình  , Đỗ Quang Hưng  , Nguyễn Phương Linh  
Published: February 2023

Tuổi phát triển của sâm (Cultivation ages of ginseng – CAG) là yếu tố quan trọng ảnh hưởng đến chất lượng và giá thành của sâm. Những tiến bộ gần đây trong khoa học dữ liệu đã tạo ra những lợi ích to lớn cho đa dạng các ứng dụng thực tế. Trong lĩnh vực khoa học dữ liệu, học máy đóng một vai trò quan trọng để khám phá thông tin chi tiết từ dữ liệu. Nghiên cứu này dựa trên cơ sở dữ liệu thực nghiêm thu thập được nhằm xây dựng và đánh giá hiệu suất của 3 mô hình máy học: Tăng cường độ dốc cực cao - Extreme Gradient Boosting (XGB), Tăng cường độ dốc nhẹ - Light Gradient Boosting (LGB) và Tăng cường độ dốc - Gradient Boosting (GB) trong việc dự đoán CAG. Các mô hình được phát triển dựa trên 106 mẫu dữ liệu với chín tham số đầu vào và một tham số đầu ra. Kỹ thuật xác thực chéo K-lần được sử dụng để nâng cao khả năng tổng quát hóa và hiệu suất dự đoán của mô hình. Quan trọng hơn, trong nghiên cứu này XGB mô hình được tối ưu hóa để chọn siêu tham số. Dự báo hiệu suất của tối ưu XGB mô hình được so sánh với 2 mô hình LGB và GB. Kết quả cho thấy XGB là mô hình tốt nhất với hiệu suất dự đoán rất cao (R2=0,964; RMSE=0,148 năm, MAE=0,107 năm). Ngoài ra, kỹ thuật tầm quan trọng của tính năng (Feature importance) được thực hiện để đánh giá ảnh hưởng của các biến đầu vào đối với CAG dự đoán.
The Front Office Strategy on Service Quality Improvement
Authors: Septariani Made Windy , Sutarma I Gusti Putu , Sudiarta Made , Sudarmini Ni Made 
Published: February 2023

Purpose: This research aims to determine the strengths, weaknesses, opportunities, and threats in improving the quality of service to guests staying at 5 star hotel in Seminyak, Kuta, Badung, Bali.
Research methods: The method of data analysis is a descriptive qualitative, descriptive quantitative, the matrix of IFAS, EFAS, IE Matrix, and SWOT analysis (strength, weakness, opportunity, and threat). This research sample uses 27 people coming from the management and team of Front Office Department.
Findings: The results of this analysis show that there are internal and external factors affecting the improvement of the quality of front office services that get from the results of the questionnaire and interviews.
Implication: The advice that can be given is to maintain cleanliness in the villa area to avoid complaints and add staff to the front office to help accelerate operational activities.
Teluk Benoa Reclamation and its Impacts
Authors: Kartika Ni Made Ayu Windu 
Published: February 2023

Abstract: Purpose: This article aims to analyze the impacts and community reactions to Teluk Benoa (Benoa Bay) reclamation.
Research methods: This research is a descriptive analysis. The data collection method used is a literature study with a statutory regulation approach and case studies.
Findings: There are positive and negative impacts that will be received by the community if Teluk Benoa reclamation is continued and the actions taken by the community to reject the plan.
Implication: The impacts might be received by the community if Teluk Benoa reclamation continues, especially those on the sustainability of the surrounding environment.
Tri Hita Karana Implementation in Accommodation Management (The Case of Traditional Balinese Homestays in Ubud)
Authors: Solihin Solihin , Sumawidari Ida Ayu Ketut 
Published: February 2023

Abstract : Purpose: This research paper discusses the implementation of Tri Hita Karana in the development and management of traditional Balinese homestays in Ubud, Bali, Indonesia.
Research methods: The qualitative research which data are obtained through observation, literature study, and in-depth interviews with several informants, namely observers of Balinese cultural tourism and owners and managers of homestays in Ubud.
Findings: Traditional Balinese homestays in Ubud are buildings where local residents live in the form of umah "pondok" or new buildings that are prepared for tourists. They are built with a traditional Balinese architectural model that refers to the Tri Mandala and Tri Hita Karana philosophy that reflect the harmonious relationship between humans and God (parahyangan), humans and each other (pawongan), and humans and their environment (palemahan).
Implications: The existence of traditional homestay in Ubud that are able to support the sustainability of tourism development in Bali needs to be maintained.
Depok Eco-Friendly Library as an Educational Tourism Destination
Authors: Luthfianto Muhammad Ilham Nur , Anggita Diptya 
Published: February 2023

Purpose: This study is to design a library in Depok City in West Java, Indonesia, which is a Central Government which is adjacent to Jakarta (the nation’s Capital) as well as to be able to support the City of Depok as an education city, and infiltration area.
Research methods: It uses a descriptive method and divides into three stages: (1) data exploration by collecting related data and existing site conditions, (2) site and building analysis, (3) building design and making 3d model’s design.
Findings: Understanding of surrounding conditions will be very helpful in designing eco-friendly building. Like wise with the building and site design that adapts to local environmental conditions will also provide comfort for the users themselves and even the surrounding residents.
Implications: Creating an environmentally friendly library design by implementing the library tourism attractiveness index system will certainly make people interested in visiting continuously and getting positive benefits. The local and wider community not only gain knowledge but also freshness and happiness.