bluuebunny/crossref_metadata_2025 huggingface dataset:
The New Landscape of Diagnostic Imaging with the Incorporation of Computer Vision
Authors: Cossio Manuel
Published: February 2023

Diagnostic medical imaging is a key tool in medical care. In recent years, thanks to advances in computer vision research, a subfield of artificial intelligence, it has become possible to use medical imaging to train and test machine learning models. Among the algorithms investigated, there has been a boom in the use of neural networks since they allow a higher level of automation in the learning process. The areas of medical imaging that have developed the most applications are X-rays, computed tomography, positron emission tomography, magnetic resonance imaging, ultrasonography and pathology. In fact, the COVID-19 pandemic has reshaped the research landscape, especially for radiological and resonance imaging. Notwithstanding the great progress that has been observed in the field, obstacles have also arisen that had to be overcome to continue to improve applications. These obstacles include data protection and the expansion of available datasets, which involves a large investment of resources, time and academically trained manpower.
Perspective Chapter: Reflection from the Field of Medical Education in the COVID-19 Pandemic – New Strategies and Practices in Achieving Needed Competencies for Students
Authors: M. Khaled Hussein , M. Makhlouf Ahmed
Published: February 2023

The COVID-19 issue forced necessary changes in medical education that have been demanding and adjusting for different medical colleges, but they also provide a great opportunity for the betterment and possible challenging and useful transformation of medical education. This chapter examined the responses of medical organizations to this pandemic, its merits, and its challenges. It analyzed the potential effects of new strategies’ recognition and application on medical education in the post-COVID-19 period. The status of medical education before COVID-19 and the challenges of adopting competencies have been reviewed. The teaching and assessment strategies innovated in the COVID-19 era and reflections from faculty and students were discussed. Over the previous years, the pandemic has questioned concepts about how medical education should be delivered. The COVID-19 pandemic offers the medical education community a unique chance to reorient itself away from outdated standards and practices and toward more societally responsible and accountable standards and practices. All involved in medical education should all work together to prevent situations from “snapping back” to how they have always been because they were accepted practices and would be lost if the pandemic had the potential to disrupt growth and reform.
Automation of the Freight Wagon Subsystem
Authors: Pfaff Raphael , D. Schmidt Bernd , Enning Manfred
Published: February 2023

The wagon as part of the rail freight system is lagging behind other vehicle classes in terms of automation and monitoring. This stems partly not only from a fierce competition with regard to the vehicle cost but also from a long vehicle lifecycle and long innovation cycles. The drawback of the low amount of automation and monitoring of the vehicle is the additional manual labour required for operation and inspection, as well as the many use cases that cannot be served in an optimal fashion. The Wagon 4.0 concept sets out to mitigate these drawbacks by implementing monitoring and automation technologies into the wagon subsystem in an economically feasible manner. Minor extensions to the rail freight systems already lead to major reductions in labour intensity and use cases that can be served in a novel fashion. This chapter introduces the Wagon 4.0 concept and illustrates the benefits based on use cases.
Structure and Properties of Biodegradable Polymer Materials for Fused Deposition Modeling 3D Printing
Authors: Tian Jing , Zheng Yanyan , Ouyang Qing , Xue Ping , Guo Baohua , Xu Jun
Published: February 2023

The properties of 3D printed products are closely related to the raw materials and the processes by which they are made. The processes of melting, depositing, and cooling of polymers affect the orientation, crystallinity, and microstructure of the product. These in turn influence the thermal, mechanical, optical, and other properties of the printed part. Among various 3D printing methods, filament and pellet extrusion-based fused deposition modeling (FDM) 3D printing is the cheapest and mostly adopted. In this chapter, the devices and some biodegradable polymer materials applicable in FDM 3D printing are briefly introduced. In the first part, preparation and the structure-property relationship of polylactic acid/polybutylene succinate blend filaments are discussed. Rheological, thermal properties of the raw materials and the properties of the printed parts were characterized. In the second part, a pellet extrusion 3D printer with a micro-screw was designed for using pellets of polyhydroxyalkanoate composites, which are difficult to produce filaments. The relationship between the screw parameters of the micro-screw extrusion 3D printer, rheological properties of the composites, and the printed product performance has been investigated. Combining theory and practical application will provide guidance for formulating biodegradable polymer materials and designing equipment for FDM 3D printing.
Pain Management in Enhanced Recovery after Emergency Surgery
Authors: Madan K. , B. Sriram Ramya
Published: February 2023

Patients presenting with acute abdominal pain frequently need very good analgesia. In order to obtain successful analgesia, pain should be evaluated, and a suitable intervention should be performed employing multimodal analgesic techniques and a minimum dose of opioid with appropriate monitoring as opioids raise the possibility of the patient being over-sedated, experience hypoventilation, or possibly aspirate. ERAS protocol is a multimodal and multidisciplinary approach to peri-operative management which aims for evidence-based reduction of physiological stress, post-operative complications and organ dysfunction, reoccurrence and mortality whilst also increasing mobility, ultimately leading to early discharge and better surgical outcomes. Multimodal analgesia has an advantage where different techniques are used to tackle pain by targeting different receptors in the pain pathway. Here we discuss a number of multimodal analgesic therapies used to alleviate acute postoperative pain in emergency surgeries, explains their advantages, and evaluates relevant findings and evidence-based management guidelines.
En, de, y a acusativa: La confabulación preposicional contra los aprendices de español L2
Authors: Donoso Alejandra , Lindqvist Helena
Published: February 2023

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Orientaciones para la nivelación de secuencias formulaicas en ELE según el criterio de frecuencia
Authors: Martos Fermín , Contreras Narciso
Published: February 2023

Con este trabajo pretendemos orientar al profesorado de ELE en la introducción de secuencias formulaicas (SF) en el aula de acuerdo con el criterio de frecuencia. Se trata de ofrecer datos objetivos para su nivelación desde los niveles A1 a C2. Hemos seleccionado 3260 SF del Plan Curricular del Instituto Cervantes (PCIC) y hemos analizado su frecuencia en Google, como motor de búsqueda general, y en tres corpus lingüísticos especializados en el español: dos de la RAE (CREA y CORPES XXI) y el corpus de Mark Davies (Corpus del Español). Nuestro objetivo es establecer un índice de frecuencia para su nivelación, comprobando igualmente si existe un grado de coincidencia entre la frecuencia y el nivel establecido en el PCIC. Finalmente, completamos dicho índice de frecuencia con el análisis de las 100 SF más frecuentes atendiendo a otros criterios, rentables comunicativamente, de tipo lexicométrico, lingüístico y nociofuncional.
Validating Instruments For Technology Acceptance Model (TAM) And Psychological Attachment Towards Computerised Accounting System (CAS) In Public Sector
Authors: Ilias Azleen , Abd Razak Mohd Zulkeflee , Alia Syamimi , Amir Wardatuaini
Published: February 2023

Purpose – to validate the factors of Technology Acceptance Model (TAM) and Psychological Attachment towards Computerised Accounting System (CAS) for users’ experience particularly public sector from Accountant General’s Department(AG). Design/Methodology/Approach – The survey was adapted the instrument from Malhotra and Galleta (1999). Based on 99 valid respondents collected from a survey questionnaire and Principal Component Analysis (PCA) was employed the validation of instruments. Findings – The factors of Technology Acceptance Model (TAM) and Psychological Attachment is valid in measuring intention and actual usage of Computerised Accounting System (CAS). The findings support the theory by Davis, (1989) Davis, Bagozzi, & Warshaw (1989), Matheison (1991), Moore and Benbasat (1991), Taylor & Todd (1995), Venkatesh & Davis (1996) and Kelman (1958). Research limitations – This research is limited to employees from Accountant General’s Department (AG) as Federal Government. In future, research need to generalised to Local Government and State Government in order to represent Public Sector Accounting. Value – This research have been emphasised on perceived ease of use, perceived usefulness, behavioural intention, actual use, attitude toward using, compliance, identification as well as internalisation. This research need to be done in order to understand the important of Computerised Accounting System (CAS) in public sector accounting since Accountant General’s Department (AG) is in progress preparing for accrual basis. Keywords: Public Sector Accounting, Computerised Accounting System (CAS), Technology Acceptance Model (TAM) and Psychological Attachment.
Annual Report of Malaysian Public Universities: The Extent of Compliance and Accountability
Authors: Ismail Suhaiza , Abu Bakar Nur Barizah
Published: February 2023

The study intends to evaluate the extent of public universities’ annual report disclosure in complying with the Malaysia Government Treasury Circular No. 4/2007 and in disclosing accountability information. Then, it compares the degree of annual report disclosure between established and new universities in Malaysia. Content analysis using two disclosure indexes was under taken. Mean disclosure index was computed to examine the disclosure levels. Malaysian public universities have not fully complied with the minimum disclosure requirements and more importantly, the degree of accountability information disclosure is lower. Additionally, although established universities group is better off in terms of accountability information disclosure it is reported to have lower degree of compliance to the minimum disclosure requirements. Greater enforcement from the government authority is required to ensure greater compliance of the universities in disclosing information in their annual report. Keywords: annual report, accountability, public universities, Malaysia
Pulmonary features of Long Covid-19: Where are we now?
Authors: Biswas Som
Published: February 2023

Objectives Severe acute respiratory syndrome coronavirus 2 has led to the Covid-19 pandemic that has resulted in millions of deaths and severe morbidity worldwide. Clinicians are now faced with an increasing number of long-term complications of Covid-19, defined as “post-acute COVID-19 syndrome”. Most studies have focused on severe COVID-19, however post-acute COVID-19 syndrome mostly exists in outpatients and had limited published literature. Given the diversity of its symptoms and the persistence of its symptoms, the management of these patients requires a multidisciplinary approach, that will result in the utilization of large amounts of health resources in the coming months and even years. In this review, we discuss the clinical and radiological presentation, pathophysiology, and management of post-acute COVID-19 syndrome. Key Findings: The persistence of respiratory symptoms, like dyspnea and cough, beyond 4 weeks from the onset of symptoms is considered Long Covid-19 syndrome. Dyspnea is the most frequent respiratory symptom reported after COVID-19. Symptom of cough is found to be less common than dyspnea after Covid-19 infection. Post-COVID-19 dyspnea can affect patients with even initially mild COVID-19 and no evidence of organ damage. Conclusion: In this review, we have discussed the clinical and radiological presentation, pathophysiology, and management of pulmonary features associated with post-acute COVID-19 syndrome. Implications for practice: For radiologists, this is an upcoming topic of extreme significance and few published literatures exist on this specific evolving disease.
Relationships between iodine and some trace elements in normal thyroid of males investigated by energy dispersive X-ray fluorescent analysis
Authors: Zaichick Vladimir
Published: February 2023

Thyroid diseases rank second among endocrine disorders, and prevalence of the diseases is higher in the elderly as compared to the younger population. An excess or deficiency of trace element contents in thyroid play important role in goitro- and carcinogenesis of gland. The correlations with age of the seven-trace element (TE) contents (Br, Cu, Fe, I, Rb, Sr, and Zn), I/Br, I/Cu, I/Fe, I/Rb, I/Sr, and I/Zn ratios, and inter relationships between TE contents and I/TE content ratios in normal thyroid of 73 males (mean age 37.3 years, range 2.0-80) was investigated by radionuclide-induced energy dispersive X-ray fluorescent analysis. Our data reveal that the I content and the I/Fe ratio increase in the normal thyroid of male during a lifespan. Therefore, a goitrogenic and tumorigenic effect of excessive I level in the thyroid of old males and of disturbance in intrathyroidal I/Fe relationships with increasing age may be assumed. Furthermore, it was found that the levels of Br, Cu, Rb, and Zn in the thyroid gland are interconnected and depend on the content of I in it. Because I plays a decisive role in the function of the thyroid gland, the data obtained allow us to conclude that, along with I, such TEs as Br, Cu, Rb, and Zn, if not directly, then indirectly, are involved in the process of thyroid hormone synthesis.
Innovative Leadership Comparison of Ion Beam Applications, SA Belgium against its competitors
Authors: Taqaddas Auj-E
Published: February 2023

A modified innovative Leadership model was applied to assess the innovation capabilities and activities of Ion Beam Applications, Belgium, Hitachi, Japan, Varian Oncology Systems, USA, Accuray, USA and Siemens Healthineers, Germany in Proton Therapy and Radiation Oncology sector. The paper also contains Radiation Oncology market overview, financial market analysis and recommendations for Ion Beam Applications, Hitachi, Varian, Accuray and Siemens Healthineers. This paper forms part of PhD Portfolio and this study was carried out during course of PhD.
Theory Ambrosia
Authors: Schneider Jurgen
Published: February 2023

The "Theory Ambrosia" summarizes essential findings on happiness, mental health and the way to it and condenses them into an all-encompassing theory. This paper describes the elements of the theory and explains how it came about. If we want world peace, there is probably no way around this theory.
Ultrasound Tomography (3D) Triage for Oculofacial emergencies- new paradigms
Authors: Khazaei Hadi
Published: February 2023

Background: The incidence of ocular trauma has been on the rise for the past few years. This impels the medical community to be more adroit at diagnosing and treating these injuries. An effective way to diagnose different manifestations of ocular trauma involve the use of ultrasound to visualize the anatomical details of the eye and orbit, which is vital for deciding the best management plan. Aim: To assess the suitability of 3D Ultrasound as a first-line investigation for oculofacial emergencies resulting from projectile and blast injuries. Methods: In this review article, the focus of discussion will be the accuracy of 3D ultrasound in diagnosing oculofacial injuries and the utility of ultrasound in triage of vision threatening emergencies in austere environments. Results: Understanding the utility of ultrasound data for diagnosis will assist ophthalmologists in managing ocular trauma more effectively. Conclusion: We recommend that patients with suspected eye injuries should undergo careful 3D ultrasound examination by appropriately trained ophthalmologists as a part of triage for oculofacial emergencies in austere environments.
Bilateral ectopic pelvic kidneys: The novel association with liver hemangioma
Authors: Al-Mosawi Aamir Jalal
Published: February 2023

Background: Renal ectopia is a congenital abnormality in which one or both kidneys are located in an unusual position because of failure of normal ascend from its origin in the true pelvis. Several types of renal ectopia with or without fusion or other associated renal and abdominal visceral abnormalities have been reported. We have previously reported the case forty-one of crossed unfused renal ectopia, and the aim of this paper is to report the association of bilateral ectopic pelvic kidneys with liver hemangioma. Patients and methods: The case of a woman in her mid-forties with renal and hepatic abnormalities on pelvic and abdominal ultrasound was studied. Results: A woman in her mid-forties was having recurrent lower abdominal pain or discomfort and recurrent urinary tract infection. Ultrasound showed that both kidneys were ectopic and were located in the pelvic cavity. Both kidneys were normal in size, texture, parenchymal thickness, and had normal cortico-modularly differentiation. There was mild splitting of the pelvi-calyceal system suggesting infection. Both ureters were normal. The liver was normal in size with homogenous texture, but there was a right lobe well-defined echogenic soft tissue mass, hemangioma. Renal function tests showed normal findings. Conclusion: Bilateral ectopic pelvic kidneys is a rare congenital condition that has not been reported to occur in association with hepatic hemangioma. This paper reports the novel association of bilateral ectopic pelvic kidneys with hepatic hemangioma.
Salivary Gland Malfunction
Authors: Chaudhry Sharjeel
Published: February 2023

This paper goes into great depth on the prevalent health issue of dry mouth. The major salivary glands secrete the total amount 0f 95% saliva. The saliva is composed of both organic and inorganic compounds. The quality of saliva is just as important as quantity when it comes to oral health and well-being. There will be extensive coverage on the many functions and qualities of saliva as well as its role in oral health as well as the important factors that influence salivary production. In this study saliva's role in the development of caries and the formation of bacterial plaque will be examined. There is an initial definition of dry mouth and then an investigation of its prevalence. Following is a list of the most prevalent causes of dry mouth. We will go into why dry mouth is such an issue in the following part. Finally, we will go through how to diagnose and treat dry mouth.
The True Picture of The Prevalence of Parasitic Diseases Among Children in The Kyrgyz Republic
Authors: Kursanbek Raimkulov
Published: February 2023

This article presents the results of a study of sanitary epidemiological surveillance (SES) among preschool and school-age children conducted in the pilot districts of Osh, Naryn, Jalal-Abad and Batken regions of the Kyrgyz Republic (KR) in the period from 2015 to 2021 and describes the relevance of combined parasitic diseases, in particular helminthiasis, the problematic issues of epidemiological features of the combination of helminthiasis with a large range of parasitic diseases to assess the true picture of the infestation of children with parasitic diseases. SES for parasitic diseases is a system for collecting biomaterials (stool) of children using preservatives and taking scrapings from the anus, laboratory analysis to determine the types of parasites and the dissemination of epidemiological information on the prevalence of parasitic diseases and children with mixed infestations, necessary for planning, implementing and monitoring preventive programs. 39398 children of school and preschool age up to 14 years were examined. Preschool children accounted for 36.3% and schoolchildren below 14 years of age 63.6% of the total number of surveyed. During the analyzed period, the total infection rate of children below 14 in the republic amounted to 10.9% of the total number of examined, of which 5.7% are girls and 5.2% are boys.
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.
The Relationship Between Morphological Characteristics and Functional Abilities in Physically Active Students
Authors: Rovčanin Kristijan Marija , Laskovic Marko
Published: February 2023

The aim of this study was to determine the relationship between morphological characteristics and maximal oxygen consumption in physically active students. The sample included 90 male (20,91±2,11 years) and 20 female (20,51±1,57 years) students from the University of Belgrade. Body composition was measured using InBody720, with 9 variables used to define the morphological status and a Shuttle run test used to measure maximal oxygen uptake. Statistical analyses were performed in SPSS 21.0, while multiple regression analysis (MRA) was used for defining multivariate models between the criterion variable (VO2max) and a set of predictive morphological variables. The males showed higher VO2max compared to females (48,33 vs. 38,54 mlO2/kg/min, p<0,05). Small significant correlation was found between body mass parameters and VO2max (r ~ 0,3, p < 0,01) in the male sample, while in the female sample body height showed medium correlation with VO2max. In both samples, body fat parameters showed significant correlation with VO2max in range from r = 0,261 to 0,545 (p < 0,05). Furthermore, the percentage of muscle mass also showed correlation with VO2max in both samples, while skeletal muscle mass showed no significant correlation. Predictive regression model was more accurate in females than in males. Our results suggest that the majority of morphological characteristics do not affect the cardiorespiratory system and do not have a large impact on the value of VO2max.
The Impact of Corporate Governance on Stock Performance: Evidence from Bangladesh
Authors:   Pabna University of Science and Technology, Sufian Mohammad Abu
Published: February 2023

Purpose: This explanatory study aims to examine the compliance status of corporate governance mechanisms and their effect on stock performance of textile industry in Bangladesh. Methodology: Fifty annual reports of listed textile companies for the year 2019 have been taken as the sample to find the empirical result of this study. The statistics for description and interpretation of cross-sectional data have been used to explore and examine the causal relationship among variables under study. Findings: From the statistical analysis of governance variables, it is seen that 30% of the sample company have a minimum (5) member in the Board, whereas only 2% companies have more than 10 directors. Moreover, five companies having negative and low return on asset (ROA) do not comply with the governance code provision regarding independent directors. In addition to these, 18% companies have no female director on the Board and are violating the Board diversity policy of corporate governance. This study shows a significant and positive association between the gender diversity and the stock performance, which supports the lens of stakeholder and resource dependency theories and proves that the presence of female directors is an effective mechanism to protect the interest of outside resource providers and. But it infers that the presence of the independent director negatively affects the dependent variable, stock performance that is also statistically significant. Originality: The main value of the study is that it is the first paper in Bangladesh, which has considered the stock price change as proxy for stock performance as per author best knowledge. Practical Implications: The outcome of the paper is most likely to benefit the top managements and directors in formulating a suitable Board dimension, and policy makers in regulating the capital market in Bangladesh for making more informative decisions towards improving their surveillance and monitory systems and ensuring the compliance level of issuer. Research Limitations: This is cross-sectional study, which is limited to textile companies and does not consider primary data.
Estimation of California Bearing Ratio of Soils Using Random Forest based Machine Learning
Authors: Vu Dung Quang , Nguyen Duc Dam , Bui Quynh-Anh Thi , Trong Duong Kien , Prakash Indra , Pham Binh Thai
Published: February 2023

California Bearing Ratio (CBR) is an essential parameter utilized to evaluate the strength of the soil subgrades and base course materials of different types of pavements. In this study, the Machine Learning (ML) approach has been adopted using Random Forest (RF) model to estimate the CBR of the soil based on 10 input parameters such as Plasticity Index (PI), Liquid Limit (LL), Silt Clay content (SC), Fine Sand content (FS), Coarse sand content (CS), Optimum Water Content (OWC), Organic content (O), Plastic Limit (PL), Gravel content (G), and Maximum Dry Density (MDD), which can be easily determined in the laboratory. An experimental database was collected from 214 soil samples, which were classified according to AASHTO M 145(clayey, gravel, sand, silty and clayey soils). The data was divided into 70% training and 30% test data in the model study. Model performance was evaluated using standard statistical measures such as coefficient of determination, correlations, and errors (relative error, MAE, and RMSE). Based on the analysis results shows the RF model is capable of correct prediction of the CBR of the Soil.
Ứng dụng các mô hình học máy dựa trên thuật toán cây để giải bài toán dự báo sức kháng cắt của dầm BTCT không cốt đai
Authors: Nguyễn Thùy Anh , Lý Hải Bằng
Published: February 2023

Mô hình Ensemble Learning (ELB) và mô hình rừng ngẫu nhiên (RF) để dự đoán sức kháng cắt của dầm bê tông cốt thép không có cốt đai được đề xuất trong nghiên cứu này. Bộ cơ sở dữ liệu gồm 1849 kết quả thí nghiệm dầm thu thập được từ các tài liệu có sẵn đã được sử dụng cho quá trình huấn luyện và kiểm chứng các mô hình học máy đề xuất, với 12 thông số đầu vào, miêu tả các đặc tính hình học, vật liệu của dầm, các điều kiện gia tải. Việc đánh giá các mô hình được tiến hành và so sánh bằng cách sử dụng các phép đo thống kê nổi tiếng, cụ thể là hệ số xác định (R2), căn của sai số toàn phương trung bình (RMSE) và sai số tuyệt đối trung bình (MAE). Kết quả của nghiên cứu cho thấy cả hai mô hình học máy có khả năng thực hiện tốt việc dự đoán sức kháng cắt của dầm BTCT không có cốt đai, với R2 = 0.917, RMSE = 43.32, MAE = 20.82 tương ứng với mô hình ELB và R2 = 0.913, RMSE = 46.4, MAE = 22.43 tương ứng với mô hình RF. Điều này thể hiện cả hai mô hình học máy được đề xuất là một công cụ dự đoán chính xác và hữu ích cho các kỹ sư trong giai đoạn tiền thiết kế.
Phân tách các yếu tố ảnh hưởng đến sự thay đổi cường độ năng lượng đối với các hoạt động dịch vụ vận tải Việt Nam
Authors: Phạm Huế
Published: February 2023

Các hoạt động dịch vụ vận tải ngày càng đóng góp quan trọng vào sự phát triển kinh tế và xã hội của Việt Nam. Tuy nhiên, các hoạt động này gây tiêu hao năng lượng lớn, ảnh hưởng đến anh ninh năng lượng và chất lượng môi trường. Nghiên cứu về cường độ năng lượng đối với các hoạt động dịch vụ vận tải đã được thực hiện trong những năm qua, nhưng phân tách các yếu tố ảnh hưởng mở rộng đối với các hoạt động dịch vụ vận tải còn hạn chế. Bài báo này được thực hiện nhằm phân tách các yếu tố ảnh hưởng đến sự thay đổi cường độ năng lượng của các hoạt động dịch vụ vận tải giai đoạn 2007-2012 và 2012-2019 sử dụng kỹ thuật phân tách phân rã chỉ số (LMDI). Hai giai đoạn này được phân tích là do bảng Input-Output (IO) gốc được công bố vào năm 2007 và 2012. Ngoài ra, bảng IO năm 2019 được cập nhật và sử dụng để khảo sát sự thay đổi cường độ năng lượng trong năm gần đây. Cường độ năng lượng trong nghiên cứu này được phân tách với ba yếu tố ảnh hưởng gồm thay đổi hoạt động kinh tế, ảnh hưởng của tiêu thụ năng lượng và ảnh hưởng do nhu cầu cuối cùng. Kết quả nghiên cứu chỉ ra rằng hầu hết ba yếu tố ảnh hưởng gây gia tăng cường độ năng lượng. Kết quả này là cơ sở để kiến nghị các giải pháp cải thiện các yếu tố ảnh hưởng đến sự gia tăng cường độ năng lượng đối với các hoạt động dịch vụ vận tải tại Việt Nam.
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.
Synthesis and CO gas adsorption properties of GO/ZnFe2O4 nanocomposites
Authors: Vinh Thanh Nguyen  , Tuan Quoc Tran  , Cuong Van Nguyen  , Hung Van Nguyen  , Hai Thanh Nguyen  , Hang Thi Bui  , Dang Van Tran  , Quy Van Nguyen
Published: February 2023

In this work, ZnFe2O4 nanoparticles were synthesized by hydrothermal method while the hummer method was used to synthesize GO nanosheet. GO/ZnFe2O4 nanocomposites (GO/ZFO) were prepared by mixing of GO with ZnFe2O4 in mass ratio of 1:99, respectively. The structure, morphology, and physical – chemical characteristics were determined by Raman spectroscopy, Transform Electron Microscopy (TEM), and Fourier Transform Infrared Spectroscopy (FT-IR). The CO gas adsorption properties of GO/ZFO were investigated in the range of 25 – 200 ppm at room temperature using quartz crystal microbalance (QCM). GO/ZFO nanocomposites show great adsorption – desorption capacity, high repeatability, and the largest adsorption performance of 1.21‰ (0.098 µg.cm-2 at 200 ppm). The results show that this new approach is promising of spinel structure materials for CO adsorption at room temperature.
KD-Railway 1.0 – A structural dynamics software for high-speed rail bridge based on open source Cast3m platform
Authors: Le Nguyen Khuong  , Nguyen Van Dang
Published: February 2023

The dynamic interaction between train and bridge under high-speed movement is complex. The methods using the equivalence coefficients or the analytic model with simplified assumptions cannot accurately analyze the dynamic behavior of the high-speed railway bridge, especially in the cases of resonance. KD-Railway was built to reduce time consumption for dynamic simulation and improve the model's accuracy. This software uses the solver of the open-source Cast3M platform for finite element analysis, integrating the interface developed in C# and Python. In this study, we summarize the primary functionalities of KD-Railway version 01 with the validating results compared with different analytical methods and experimental measurements that existed in the literature. This result is a scientific basis for further studies using KD-Railway to analyze the dynamic response of high-speed railway bridges.
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.
Ảnh hưởng của cốt liệu cào bóc từ bê tông nhựa cũ đến các chỉ tiêu kỹ thuật của bê tông xi măng đầm lăn
Authors: Nguyễn Thị Hương Giang  , Đào Phúc Lâm  , Lê Quang Huy
Published: February 2023

Sự phát triển của kinh tế xã hội, sự gia tăng nhanh các phương tiện giao thông, đặc biệt là các xe tải nặng làm cho chất lượng mặt đường giảm sút, gây ra những hư hỏng cho kết cấu mặt đường, đặc biệt là mặt đường bê tông nhựa. Các mặt đường bê tông nhựa hư hỏng được cào bóc trở thành vật liệu phế thải không phân huỷ. Vì vậy, việc tận dụng và tái sử dụng các nguồn vật liệu phế thải làm cốt liệu chế tạo bê tông là vấn đề được quan tâm và chú trọng trong xây dựng công trình. Hiện nay, nhiều nước trên thế giới đã nghiên cứu và ứng dụng cốt liệu tái chế để chế tạo bê tông đầm lăn ứng trong xây dựng đường ô tô. Tuy nhiên, cốt liệu cào bóc từ bê tông nhựa cũ có đặc điểm cơ bản khác với cốt liệu tự nhiên, đó là màng nhựa cũ bao bọc xung quanh các hạt cốt liệu tái chế. Do vậy, bài báo trình bày thí nghiệm xác định các chỉ tiêu kỹ thuật cơ bản của bê tông đầm lăn sử dụng cốt liệu tái chế, so sánh với bê tông đầm lăn đối chứng. Từ đó, đánh giá ảnh hưởng của cốt liệu tái chế đến các chỉ tiêu kỹ thuật của bê tông đầm lăn (BTĐL) với hai tỉ lệ cốt liệu tái chế (40% và 80%) thay thế cốt liệu tự nhiên trong hỗn hợp bê tông.
Phân tích ứng xử của khối đá xung quanh hầm và bê tông phun theo các tiêu chuẩn phá hỏng Mohr-Coulomb và Hoek-Brown
Authors: Đỗ Như Tráng  , Nguyễn Thanh Hưng  , Nguyễn Văn Quang
Published: February 2023

Trong các tiêu chuẩn xây dựng công trình ngầm trên thế giới và ở Việt nam có nhiều hệ thống phân loại đất đá, từ đó có các mô hình đất đá khác nhau được sử dụng để tính toán, phân tích hệ thống chống đỡ trong công trình ngầm. Cách đánh giá và nhận định về kết quả áp dụng các mô hình cũng khác nhau. Trong bài báo này các Tác giả thực hiện phân tích đánh giá 2 tiêu chuẩn chính được áp dụng nhiều hơn cả là Mohr – Coulomb và Hoek-Brown được áp dụng cho hầm đường bộ Đèo Cả trong giai đoạn thi công theo công nghệ NATM.
Nghiên cứu ảnh hưởng của một số loại phụ gia siêu hóa dẻo đến tính công tác và cường độ của bê tông xi măng
Authors: Đỗ Duy Tùng
Published: February 2023

Bài báo trình bày những kết quả nghiên cứu về tính công tác và cường độ chịu nén của bê tông xi măng khi thay đổi các loại phụ gia siêu dẻo (các gốc khác nhau như Sulfonat napthalen formaldehyde - SNF, Lignosulphunates - LSF và Polyacrylate) với xi măng Hoàng Thạch đang sử dụng phổ biến ở Miền Bắc Việt Nam. Kết quả thực nghiệm cho thấy tính công tác và cường độ chịu nén của bê tông xi măng sử dụng các loại phụ gia siêu dẻo khác nhau như Sikament NN (gốc SNF), Sikament R4 (gốc LSF), Rheobuild 561 (gốc Polyacrylate) với cùng liều lượng 0.8 l/100kg xi măng PCB30 ở các ngày tuổi khác nhau cho thấy có sự khác biệt. Độ sụt của bê tông sử dụng Silikament NN là cao nhất, trong khi Rheobuild 561 là thấp nhất. Cường độ chịu nén ở 28 ngày tuổi của bê tông sử dụng Rheobuild 561 là cao nhất, trong khi sử dụng Silikament NN là thấp nhất. Từ đó, cho thấy cần kiểm tra tính tương thích của xi măng và phụ gia trước khi sản xuất bê tông để lựa chọn loại phụ gia sử dụng phù hợp với mục đích, yêu cầu cụ thể.
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.
Analisis Penerapan Workplace Spirituality Dalam Peningkatan Kinerja Dan Kualitas Sumber Daya Manusia
Authors: Wulandar Abizari Nina Ramadhani , Ruslaini
Published: February 2023

Sumber daya manusia merupakan mahkluk penggerak utama sumber daya lainnya. Istilah lainnya menyatakan bahwa manusia (dosen, karyawan) adalah sebagai sumber daya yang utama yang harus di sinergikan dengan sumber daya lainnya yaitu : Sistem, Sarana dan prasarana, keuangan yang baik dalam melakukan berbagai aktivitas untuk mencapai tujuan dari organisasi tempat bekerja. Tujuan penelitian ini adalah menjelaskan penerapan workplace spirituality di Universitas Muhammadiyah Lampung dalam rangka meningkatkan kinerja dan kualitas terhadap Universitas Muhammadiyah Lampung. Pendekatan kuantitatif berguna dalam menguji dan menjelaskan penelitian ini. Sample dalam penelitian ini adalah dosen dan karyawan. Teknik analisis data menggunakan analisis regresi linier sederhana, Hasil uji hipotesis dengan melihat nilai signifikasi (Sig) di peroleh nilai t hitung sebesar 6,667 lebih besar dari > 2,024394 sedangkan hasil regresi diperoleh nilainya sebesar 0,805 Angka ini mengandung arti bahwa setiap penambahan 1% tingkat workplace sprituality (X), maka Kualitas SDM (Y) akan meningkat sebesar 0,805, maka implementasi workplace spirutuality ini sangat penting dalam meningkatkan kinerja dan kualitas SDM
Fighting Style of Qualified Veteran Boxers
Authors:   H.S. Skovoroda Kharkiv National Pedagogical University, Kozin Valentyn
Published: February 2023

The monograph presents reveaingl the fighting style of veteran boxers based on the individual factor structure of psychophysiological and biomechanical indicators.The study involved 42 qualified veteran boxers (aged 45-50). A biomechanical analysis of the indicators of the movement speed of various points and the values of the joint angles while performing a direct blow by boxers has been used as a research method. The psychophysiological method has been used to determine the time of a simple and complex reaction under standard conditions and in various testing modes. Descriptive Statistics and Factor Analysis have been applied as methods of statistical analysis. Two main factors have been identified in the structure of the complex performance of qualified veteran boxers,. Factor 1 (55.063% of the total aggregate variance) is named «Speed». Factor 2 (44.937% of the total aggregate variance) stands for “Speed Endurance”. Individual factor structure, which is characterized by the distinctive factor «Speed and Coordination Endurance» by more than 80% as well as by the marked factor «Speed» by less than 30% is considered to be a particularity of the tempo style boxers. Individual factor structure, which is characterized by the intensity of the factor «Speed» by more than 80%, and by the distinctive factor «Speed and Coordination Endurance» by less than 30% is considered to be typical for the playing style boxers. The individual factor structure, which is characterized by the marked factor «Speed» by more than 50%, and by the intencity of the factor «Speed and Coordination Endurance» by less than 30% is seen to be peculiar to the strength style boxers. It is shown that the psychophysiological features of boxers of different fighting styles are reflected in the features of the direct strike technique. The lack of speed at the beginning of the movement in tempo style boxers is supplemented and compensated by the high speed of movement. Playing style boxers are characterized by a high speed of movement at the very beginning of the strike. Strength style boxers are characterized by the gradual development of movement speed.
Islamic Financial Literacy: Developing Instruments
Authors: Hasna Luthfi Khairunnisa
Published: February 2023

The purpose of this study was to analyze the efficiency of local government expenditure based on Islamic Human Development Index (I-HDI) in Local Government at the Indonesian’s Province using Data Envelopment Analysis (DEA). DEA is a non parametic method that was developed to measure the level of efficiency compared to the Decision Making Unit (DMU). This method can measure the efficiency of a government entity by using multi-input and multi-output. DEA result also can be used to identify wich input or output must be increased by Decision Making Unit (DMU) to reach optimum efficiency. The result from this study showed that the average of efficiency score in local government at Indonesian’s Province is increasing from 2015 until 2018. This study also indicates that North Sumatera, East Java, and Yogyakarta’s government spending were efficient in 4 years. While Bangka Belitung and West Papua achieve the lowest efficiency score, and should optimize input and increase the number of output to improve the efficiency. Morever, the main source of inefficiency is in Life birth rate indicators.
Economic Growth and Government Size in OIC Countries: A GMM Application
Authors: Prakoso Dito
Published: February 2023

This study intends to investigate the short and long-term relationship between government size and economic growth in the Islamic Cooperation Organization (OIC) during the 2010 to 2018 period through an empirical approach to 57 OIC countries using the dynamic data panel method GMM Arellano-Bond. The results show that in the short term, government size has a negative and significant effect on economic growth, while government investment has a positive and significant effect on economic growth. The results also show that in the long run, government size has a negative and significant effect on economic growth, while government investment has a positive and significant impact on economic growth. This research also supports the previous study which stated that there is a ‘inverted-U relationship’ between government size and economic growth. Policy recommendations that can be taken from this research are that the governments of OIC countries can make strategic steps in their spending by restructuring taxes and expenditures to maximize the effect on economic growth. Compared with previous research, the author tries to analyze the short and long-term relationship between government size and economic growth in OIC countries, by developing a longer research period and involving all OIC members, totaling 57 countries. This paper is expected to contribute to complementing the existing literature on economic growth in OIC countries