bluuebunny/crossref_metadata_2025 huggingface dataset:
MCDM-EFS: A novel ensemble feature selection method for software defect prediction using multi-criteria decision making
Authors: Kaur Kamaldeep , Kumar Ajay
Published: September 2023

Software defect prediction models are used for predicting high risk software components. Feature selection has significant impact on the prediction performance of the software defect prediction models since redundant and unimportant features make the prediction model more difficult to learn. Ensemble feature selection has recently emerged as a new methodology for enhancing feature selection performance. This paper proposes a new multi-criteria-decision-making (MCDM) based ensemble feature selection (EFS) method. This new method is termed as MCDM-EFS. The proposed method, MCDM-EFS, first generates the decision matrix signifying the feature’s importance score with respect to various existing feature selection methods. Next, the decision matrix is used as the input to well-known MCDM method TOPSIS for assigning a final rank to each feature. The proposed approach is validated by an experimental study for predicting software defects using two classifiers K-nearest neighbor (KNN) and naïve bayes (NB) over five open-source datasets. The predictive performance of the proposed approach is compared with existing feature selection algorithms. Two evaluation metrics – nMCC and G-measure are used to compare predictive performance. The experimental results show that the MCDM-EFS significantly improves the predictive performance of software defect prediction models against other feature selection methods in terms of nMCC as well as G-measure.
Delayed and More Variable Unimanual and Bimanual Finger Tapping in Alzheimer’s Disease: Associations with Biomarkers and Applications for Classification
Authors: Koppelmans Vincent , Ruitenberg Marit F.L. , Schaefer Sydney Y. , King Jace B. , Hoffman John M. , Mejia Amanda F. , Tasdizen Tolga , Duff Kevin
Published: September 2023

Background:

Despite reports of gross motor problems in mild cognitive impairment (MCI) and Alzheimer’s disease (AD), fine motor function has been relatively understudied.

Objective:

We examined if finger tapping is affected in AD, related to AD biomarkers, and able to classify MCI or AD.

Methods:

Forty-seven cognitively normal, 27 amnestic MCI, and 26 AD subjects completed unimanual and bimanual computerized tapping tests. We tested 1) group differences in tapping with permutation models; 2) associations between tapping and biomarkers (PET amyloid-β, hippocampal volume, and APOE ɛ4 alleles) with linear regression; and 3) the predictive value of tapping for group classification using machine learning.

Results:

AD subjects had slower reaction time and larger speed variability than controls during all tapping conditions, except for dual tapping. MCI subjects performed worse than controls on reaction time and speed variability for dual and non-dominant hand tapping. Tapping speed and variability were related to hippocampal volume, but not to amyloid-β deposition or APOE ɛ4 alleles. Random forest classification (overall accuracy = 70%) discriminated control and AD subjects, but poorly discriminated MCI from controls or AD.

Conclusions:

MCI and AD are linked to more variable finger tapping with slower reaction time. Associations between finger tapping and hippocampal volume, but not amyloidosis, suggest that tapping deficits are related to neuropathology that presents later during the disease. Considering that tapping performance is able to differentiate between control and AD subjects, it can offer a cost-efficient tool for augmenting existing AD biomarkers.
Dietary Sugar Intake Associated with a Higher Risk of Dementia in Community-Dwelling Older Adults
Authors: Agarwal Puja , Ford Christopher N. , Leurgans Sue E. , Beck Todd , Desai Pankaja , Dhana Klodian , Evans Denis A. , Halloway Shannon , Holland Thomas M. , Krueger Kristin R. , Liu Xiaoran , Rajan Kumar Bharat , Bennett David A.
Published: September 2023

Background: We have limited evidence for the relationship of high sugar intake with dementia risk. Objective: To determine whether high sugar intake is associated with an increased risk of dementia in community-dwelling older adults Methods: This study included 789 participants of the Rush Memory and Aging Project (community-based longitudinal cohort study of older adults free of known dementia at enrollment), with annual clinical assessments and complete nutrient data (obtained by validated food frequency questionnaire). Clinical diagnosis of dementia is based on the criteria of the joint working group of the National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer’s Disease and Related Disorders Association. We used Cox proportional hazard models. Results: 118 participants developed dementia during 7.3±3.8 years of follow-up. Those in the highest quintile of total sugar intake were twice as likely to develop dementia than those in the lowest quintile (Q5 versus Q1:HR=2.10 (95% CI: 1.05, 4.19) when adjusted for age, sex, education, APOE ɛ4 allele, calories from sources other than sugar, physical activity, and diet score. Higher percent calories from sugar were positively associated with dementia risk (β=0.042, p = 0.0009). In exploratory analyses, the highest versus lowest quintile of fructose and sucrose in the diet had higher dementia risk by 2.8 (95% CI: 1.38, 5.67) and 1.93 (95% CI: 1.05, 3.54) times, respectively. Conclusions: A higher intake of total sugar or total calories from sugar is associated with increased dementia risk in older adults. Among simple sugars, fructose (e.g., sweetened beverages, snacks, packaged desserts) and sucrose (table sugar in juices, desserts, candies, and commercial cereals) are associated with higher dementia risk.
Modeling of the interaction between human body and electromagnetic waves near resonance using machine learning
Authors: Hizem Moez , Ben Saada Aymen , Ben Mbarek Sofiane , Choubani Fethi
Published: September 2023

Human-Like digital models have been around for quite some time. They significantly contributed to the increase of the accuracy of the whole-body-average specific absorption rate estimations. However, the anatomical and morphological diversity between human beings has not yet been embraced by the actual anthropomorphic models for several reasons such as financial costs, excessive exposure of volunteers to electromagnetic waves, and the required number of technical experts needed to build one voxelized model. Recently, machine learning has been used to reduce the complexity of certain tasks. Yet, at least, having an anthropomorphic model per nation is still far away to achieve. To reduce the building cost of new human-like models, we build on the success of anthropomorphic models and machine learning to derive mathematical equations that make it possible to predict the Whole-body-average SAR from low frequencies up to twice the resonance frequency without any cost and excessive electromagnetic exposure of new volunteers. The completely new machine learning based equations are applicable for any age, ethnic group, and for both genders. They depend only on the human body’s morphological (height and weight) and anatomical parameters (tissue weights). In this work, we first address the whole-body-average SAR peak and we present a set of two estimators. In second, we show that the resonance frequency is not only a function of the height of the human body, to end up with a third estimation for the resonance frequency. These completely new estimators are finally combined into a novel equation that links the whole-body-average SAR to the frequency. It shows the accurate prediction for low frequencies (10 MHz) up to twice the resonance frequency. The derived estimators for the maximum WBASAR and the resonance frequencies showed better results for low frequency exposure.
Quality attributes of Pitanga (Eugenia uniflora L.) during postharvest storage as affected by ripening stage and storage temperature
Authors: Castro Damian C. , Piagentini Andrea , Pirovani María Élida
Published: September 2023

BACKGROUND:

Pitanga ( Eugenia uniflora L.) is a South American berry with a sweet flavor and is rich in bioactive compounds and antioxidants. However, its high water and sugar content, susceptibility to spoilage, and bruising limit its shelf life.

OBJECTIVE:

This study aimed to investigate the physical and chemical changes of pitanga during storage and to identify the optimal harvest time and storage conditions.

METHODS:

Pitangas were harvested at mid or full-ripeness stages, stored at 2°C, 10°C, or 20°C, and analyzed for physical and chemical quality attributes using a kinetic approach.

RESULTS:

The storage temperature of pitanga significantly affected the kinetics of various quality attributes, including weight loss, percentage of damaged and decayed fruit, fruit hardness, total soluble solid content, and color change. However, the ripening stage during harvest only influenced the initial values of a few quality attributes. The bioactive compound content and antioxidant capacity of pitanga were not significantly affected by either storage temperature or ripening stage, except for vitamin C.

CONCLUSIONS:

Pitanga can be preserved at 2°C for 20 days, resulting in a four-fold increase in shelf life compared to current postharvest practices. This finding offers valuable insights into optimizing the postharvest technology of pitanga, thereby increasing its utilization and promoting sustainable production practices.
Modeling of intelligent hyperparameter tuned deep learning based copy move image forgery detection technique
Authors: Vaishnavi D. , Balaji G.N.
Published: September 2023

Due to the drastic increase in the generation of high-quality fake images in social networking, it is essential to design effective recognition approaches. Image/video manipulation defines any set of actions which can be carried out on digital content by the use of software editing approaches or artificial intelligence. A major kind of image and video editing comprises replicating the regions of the image, named as copy-move technique. Conventional image processing methods physically search for the pattern relevant to the replicated contents, restricting the utilization in massive classification of data. Contrastingly, the recently developed deep learning (DL) models have exhibited promising performance over the traditional models. In this aspect, this paper presents a novel intelligent deep learning based copy move image forgery detection (IDL-CMIFD) technique. The proposed IDL-CMIFD technique intends to design a DL model to classify the candidate images into two classes: original and forged/tampered and then localized the copy moved regions. In addition, the proposed IDL-CMIFD technique involves the Adam optimizer with Efficient Net based feature extractor to derive a useful set of feature vectors. Moreover, chaotic monarch butterfly optimization (CMBO) with deep wavelet neural network (DWNN) model is applied for classification purposes. The CMBO algorithm is utilized to optimally tune the parameters involved in the DWNN model in such a way that the classification performance gets improved. The performance validation of the proposed model takes place on benchmark MICC-F220, MICC-F2000, MICC-F600 datasets. A wide range of comparative analyses is performed and the results ensured the better performance of the IDL-CMIFD technique in terms of different evaluation parameters.
DFLOWFS: Deep Fast-Learning Optimal Weight Fuzzy System with bottom-up hierarchical structure for high-dimensional data regression
Authors: Chen Dewang , Zhou Jiali , Tong Wenlin , Kong Lingkun , Chen Yuandong
Published: September 2023

As a model for reasoning and decision-making based on fuzzy rules, fuzzy systems have high interpretability. However, when the data dimension increases, the fuzzy system will face the problem of “rule explosion”, making it difficult to learn and predict effectively. In this paper, the fuzzy system trained by the FLOWFS (Fast-Learning with Optimal Weights for Fuzzy Systems) algorithm is used as sub-module in the deep fuzzy system, and the deep fuzzy system DFLOWFS (Deep FLOWFS) is constructed from the bottom-up hierarchical structure as the following three steps. 1) The FLOWFS algorithm assigns weight attributions to each fuzzy rule, and the rule weights are trained by the least square method with regularization terms to shorten training time and improve accuracy. 2) Three strategies of dividing high-dimensional inputs into multiple low-dimensional inputs are proposed as sequential division, random division and correlation division. Then, it is verified by experiments that the correlation division has the best performance. 3) The sub-module discarding method is proposed to discard the sub-modules with poor performance to have a maximum improvement of 13.8% compared to the DFLOWFS without using the sub-module discarding method. Then, the optimized DFLOWFS is verified and compared with the other three classic regression models on the three UCI datasets. Experiments show that with the increase of the data dimension, DFLOWFS not only have good interpretability but also have good accuracy. Furthermore, DFLOWFS performs best among all models in comprehensive scores, with good learning ability and generalization ability. Therefore, the proposed strategies with hierarchical structure for optimal shallow fuzzy systems are effective, which give a new insight for fuzzy system research.
A novel image reconstruction algorithm based on texture aware multiscale GAN for veneer defects
Authors: Ge Yilin , Sun Liping , Wang Di
Published: September 2023

Veneer is the critical raw material for manufacturing man-made board products, therefore the quality of the veneer determines the level of the man-made board. However, defects in the veneer may significantly lower its grade. Currently, identifying veneer defects requires manual inspection and subsequent inpainting using a veneer digging machine. Unfortunately, this method only removes the defects of the veneer but ignore the consistency of its texture. To address this issue, we propose a feasible veneer defect reconstruction method that utilizes a texture-aware-multiscale-GAN architecture. Our method performs texture reconstruction of veneer defects to increase the texture information of the reconstructed image while improving the model efficiency, so that generates natural-looking textures in the reconstructed defect areas. The model is trained by end-to-end updating of four cascades of efficient generators and discriminators. We also employed a loss function based on local binary patterns (LBP) to ensure that the restored images contain sufficient texture information. Finally, region normalization is used in the model to enhance the accuracy of the model. Peak Signal to Noise Ratio (PSNR), Structural Similarity Index (SSIM) are used to evaluate the effectiveness of image restoration, the results show that PSNR of the method reacheds 35.32 and SSIM reaches 0.971. By minimizing the difference between the generated texture and that of the original image, our model produces high-quality results.
Study on fuzzy fractional European option pricing model with Mittag-Leffler kernel
Authors: Hashemi Hebatollah , Ezzati Reza , Mikaeilvand Naser , Nazari Mojtaba
Published: September 2023

This research paper presents an innovative approach for modeling and analyzing complex systems with uncertain data. Our strategy leverages fuzzy calculus and time-fractional differential equations to achieve this goal. Specifically, we propose the utilization of the fuzzy Atangana-Baleanu time-fractional derivative, which incorporates non-singular kernels for fuzzy functions. This derivative type is particularly suitable for qualitative analysis of fractional differential equations in fuzzy space. We establish the existence and uniqueness of solutions for fuzzy linear time-fractional problems based on this differentiability concept. Additionally, we introduce a numerical solution method, namely the fuzzy homotopy perturbation transform method (FHPTM), to solve these problems. To demonstrate the effectiveness and practical applicability of our approach, we provide concrete examples such as the fuzzy time-fractional Advection-Dispersion equation, the fuzzy time-fractional Diffusion equation, and the fuzzy time-fractional Black-Scholes European option pricing problem. These examples not only illustrate the solution steps involved but also showcase the potential of our method in addressing real-world problems. The outcomes of our research underscore the significance of considering fuzzy calculus and time-fractional differential equations when modeling and analyzing intricate systems with uncertain data.
Basic uncertainty information hesitant fuzzy multi-attribute decision-making method with credibility
Authors: Xiao Huimin , Yang Peng , Gao Xiaosong , Wei Meng
Published: September 2023

This study addresses the inadequacy of the current quantitative calculation method for decision-maker credibility in hesitant fuzzy multi-attribute decision-making, where credibility is considered. To overcome this limitation, a novel quantitative calculation method for decision-maker credibility is proposed based on the principles of basic uncertainty information theory under a hesitant fuzzy environment. Furthermore, a credible-based hesitant fuzzy multi-attribute decision model is developed. Initially, the paper introduces the concept of a basic uncertainty hesitant fuzzy set by combining basic uncertainty information theory with hesitant fuzzy set theory, thereby enhancing the understanding of basic uncertainty information theory within the realm of non-interval fuzzy information. Building on this foundation, the method for determining the hesitant degree of each element in the basic uncertainty hesitant fuzzy set is provided, followed by the proposed quantitative calculation method for decision-maker’s credibility under the hesitant fuzzy environment, which addresses the lack of a quantitative approach for assessing expert credibility under such circumstances. Subsequently, an attribute weight assignment method is introduced, considering the decision-maker’s credibility, leading to the formulation of a basic uncertainty hesitant fuzzy multi-attribute decision model based on credibility. This model enhances existing hesitant fuzzy multi-attribute decision-making methods that take credibility into account. To validate the proposed approach, the study applies it to the selection of new energy vehicle battery suppliers. The results of the analysis using actual data and sensitivity analysis demonstrate that decision-maker credibility can be quantitatively determined using the proposed method. Additionally, the basic uncertainty hesitant fuzzy multi-attribute decision-making model based on credibility effectively aids in supplier selection. The feasibility and stability of this method are verified through the examination of risk appetite coefficient and hesitancy coefficient.
Research on lean management and innovation capability evaluation of technological small and medium sized enterprises under probabilistic hesitant fuzzy sets
Authors: Wang Yixuan , Zhang Xiaowen
Published: September 2023

The lean management and innovation capability evaluation of technological small and medium sized enterprises is a classical multi-attributes group decision-making (MAGDM). Recently, the probabilistic hesitant fuzzy sets (PHFSs) have been extended to apply in many fields. However, the existing models don’t evaluate the alternative considering the psychological factors. Thus, in this paper, an extended probabilistic hesitant fuzzy grey relational analysis (PHF-GRA) method is proposed to reduce the restrictions of GRA method by combining with cumulative prospect theory (CPT), considering the psychological preference. In addition, the PHFSs assigns probability values to different degrees of hesitancy, which shows its superiority in complex environment. At the same time, the weight vectors of each attribute are calculated by the entropy values of different foreground decision elements. Then, probabilistic hesitant fuzzy GRA (PHF-GRA) model based on CPT model is constructed for MAGDM under PHFSs. Finally, a practical example study for lean management and innovation capability evaluation of technological small and medium sized enterprises is constructed to validate the proposed GRA (PHF-GRA) model based on model CPT and some comparative studies are constructed to verify the applicability.
Cognitive computing and 3D facial tracking method to explore the ethical implication associated with the detection of fraudulent system in online examination
Authors: Sultanuddin S.J. , Sudhee Devulapalli , Prakash Satve Priyanka , Sumithra M. , Sathyanarayana K.B. , Kumari R. Krishna , Narasimharao Jonnadula , Reddy R. Vijaya Kumar , Rajkumar R.
Published: September 2023

Following the Covid-19 pandemic, the rapid spread of online education and tests demanded the implementation of cheating detection tools to ensure academic integrity. While advances in technology such as face recognition, face expression recognition, head posture analysis, eye gaze tracking, network data traffic analysis, and IP spoofing detection have shown promising results in detecting fraudulent behavior, their integration raises ethical concerns that must be carefully considered. This work presents a cognitive computing strategy for investigating the ethical implications of using cheating detection systems in online tests. This study attempts to examine the potential impact on students’ privacy, fairness, and trust in the examination process by employing cognitive computing, which models human cognitive capacities. A thorough literature review is used in the process to uncover existing ethical norms and regulatory frameworks linked to online assessments and cheating detection. Soft computing approaches are also used to evaluate the effectiveness and dependability of the aforementioned cheating detection strategies. The study looks into how far facial recognition and expression analysis can go in terms of privacy, as well as the possibility of bias in head posture analysis and eye gaze tracking algorithms. Furthermore, it investigates the ethical implications of monitoring network data traffic and detecting IP spoofing, with a focus on data security and user permission. The cognitive computing model, based on the analysis, presents a comprehensive framework for ethical decision-making when installing cheating detection technologies. The findings of this study contribute to the continuing discussion about the ethical concerns of using modern technologies to identify cheating in online exams. It provides educational institutions and policymakers with practical ideas for striking a balance between academic integrity and protecting students’ rights and dignity. By emphasizing ethical issues, this study aims to ensure that the implementation of cheating detection systems adheres to values of fairness, transparency, and privacy protection, promoting a trusting and supportive online learning environment for all parties involved.
Efficacy and safety of vagus nerve stimulation on upper extremity motor function in patients with stroke: A meta-analysis of randomized controlled trials1
Authors: Wei Tianqi , Ge Xiangyang , Lu Lingfeng , Li Jing , Xu Panpan , Wu Qinfeng
Published: September 2023

BACKGROUND: In 2021, the U.S. Food and Drug Administration (FDA) approved paired vagus nerve stimulation (VNS) for patients with moderate-to-severe upper extremity motor impairments following chronic ischemic stroke. OBJECTIVE: Previous meta-analyses have shown that VNS may impact stroke rehabilitation, but each has some limitations. METHODS: PubMed, Ovid, Cochrane Library, ScienceDirect, Web of Science and WHO ICTRP databases were searched until July 14, 2022 for randomized controlled trials (RCTs). We defined primary outcomes as Fugl-Meyer Assessment for Upper Extremity (FMA-UE) and Wolf Motor Function Test (WMFT). Subgroup analyses included types of VNS, time since onset and long-term effects. Secondary outcomes included adverse events of VNS. RESULTS: Eight RCTs involving 266 patients were analyzed, of which five used direct VNS and three transcutaneous auricular VNS. The results revealed that VNS enhanced upper extremity function via FMA-UE (SMD = 0.73; 95% CI: 0.48 to 0.99; P < 0.00001) and WMFT (SMD = 0.82; 95% CI:0.52 to 1.13; P < 0.00001) in comparison to the control group, but showed no significant change on long-term effects of FMA-UE (SMD = 0.69; 95% CI: – 0.06 to 1.44; P = 0.07). There was no difference in adverse events between the VNS and control groups (RR = 1.16; 95% CI: 0.46 to 2.92; P = 0.74). CONCLUSION: For stroke victims with upper limb disabilities, VNS paired with rehabilitation was significantly safe and effective. More high-quality multicentric RCTs are needed to validate this conclusion.
A short add-on sleep intervention in the rehabilitation of individuals with acquired brain injury: A randomized controlled trial
Authors: Pilon Louise , Frankenmolen Nikita F. , van der Zijp Janna , Kessels Roy P.C. , Bertens Dirk
Published: September 2023

BACKGROUND: Sleep disturbances are common after acquired brain injury (ABI) and have a negative impact on functioning. OBJECTIVE: This study examines whether a short add-on therapy for sleep disturbances in individuals with ABI is effective in addition to rehabilitation treatment as usual. METHODS: In the randomized-controlled study, 54 adults with ABI and self-reported sleep disturbances receiving outpatient rehabilitation services were randomized in two groups: one receiving a sleep intervention (based on cognitive behavioural therapy for insomnia (CBT-I)) in addition to their rehabilitation treatment (CBT-I + TAU group) and one receiving treatment as usual (TAU). The primary outcome was sleep quality, measured with the Pittsburgh Sleep Quality Index (PSQI). Secondary outcomes included measures of anxiety, depression, fatigue and dysfunctional beliefs and attitudes about sleep. RESULTS: The short add-on sleep therapy resulted in improvements in sleep quality in the CBT-I + TAU group as compared to the TAU group (ES = 0.924). Furthermore, the CBT-I + TAU group reported less dysfunctional beliefs and attitudes about sleep and were better able to cope with fatigue compared to the TAU group. CONCLUSIONS: The application of this short add-on sleep intervention could be implemented in neuropsychological rehabilitation settings.
Sensorineural hearing loss imprint on postural control: A pediatric and adolescent innovative study
Authors: Mehrem Elsayed , Khaireldin Alaaeldin , Essa Mohamed , Gad Allah Mohamed , Lobbos Bishoy , Kamel Roshdy
Published: September 2023

BACKGROUND: Sensorineural hearing loss is the most common type of permanent hearing impairment and results in postural control and motor deficits in children that may affect or delay all developmental indicators. OBJECTIVE: The purpose of the study was to objectively investigate the consequences of sensorineural hearing loss concerning postural control in pediatrics. METHODS: Forty students of both genders, ages ranging from 10 to 16 years, diagnosed with severe to profound sensorineural hearing loss, were selected from the Public School for the Deaf and Hard of Hearing in El-Minia district, Egypt. The outcome was assessed by HUMAC Balance System and Bruininks-Oseretsky Test (BOT-2) subtest (5) for balance. RESULTS: Regarding HUMAC Balance System and subtest (5) of BOT-2, there was a statistically significant difference between the scores of study subgroups and the counterpart normal subgroups of the same age and gender where p-value equal 0.0035 or less. CONCLUSION: The findings of this study suggest that children with sensorineural hearing loss have a defect in their postural control skills compared to normal children of the same gender and age groups according to HUMAC Balance System and Bruininks-Oseretsky scale.
Pediatric physical medicine and rehabilitation: Fellowship website content comprehensiveness evaluation
Authors: Haque Mahfujul Z. , Ahmed Frass , Khandaker Shaima , Syed Sameer , Bazzy Yusef A.
Published: September 2023

This cross-sectional analysis of Pediatric Rehabilitation Medicine (PRM) fellowship program websites in the United States assesses their comprehensiveness based on 43 variables commonly sought by applicants. The study found that 30% of programs had a direct link to the PRM fellowship page, with limited information on criteria such as education resources, research stipend, mentorship opportunities, and fellow wellness. The results underscore the need for improved accessibility, content expansion, and yearly link maintenance. These improvements could enhance the applicant experience, foster informed decisions, and streamline the application process. The findings offer a roadmap for PRM fellowships to better align their online platforms with applicant needs, reflecting the current shift toward virtual interactions in the post-pandemic era.
Medicine shouldn’t be this hard: The intersection of physician moral injury and patient healthcare experience in pediatric complex care
Authors: Erlandson Erika , Ramirez Carrie , Dean Wendy
Published: September 2023

Dr. Jay Neufeld’s story in If I Betray These Words is a detailed account of one physician’s catastrophic journey through moral injury when caring for pediatric patients with complex medical conditions [1]. Many clinicians may recognize Jay’s journey in their own experiences, but what deserves parallel consideration are the journeys of patients and families when they are accompanied by physicians at risk of moral injury. This case study illustrates the tight link between drivers of physician moral injury and patients’ negative healthcare experiences. These include (1) decisions directed by health insurance regulations and prior authorizations; (2) the electronic medical record (EMR); and (3) healthcare systems focused on revenue generation.
Sealing performance and failure mechanism of rubber core for conical blowout preventer during the well shut-in process
Authors: Jie Zhang , Qinchao Li , Chuan Zhang , Ming Liu , Qiulin Tang , Dagang Wang
Published: September 2023

Blowout preventer reliability is important for safe drilling operation. In order to study the sealing mechanism and failure mechanism of conical blowout preventer, a numerical model of conical blowout preventer was established based on the theory of large deformation of rubber, and the deformation law, stress distribution and sealing performance of rubber core in well shut-in operation were studied. The results show that there are stress concentrations in the contact area between the rubber core and the piston, the grooves in the middle of the adjacent support ribs, and the chamfered corner of the inner wall of the rubber core, the main form of failure at these locations is rubber cracking. Higher stress is present in the neck region of the upper plate and the back region of the lower plate of the support ribs. The inner wall surface of the rubber core gradually produces stripes of wrinkles, and the smaller the size of the sealed drill pipe, the more obvious the wrinkles are. When the drill pipe joint is sealed by the rubber core, there is a sealing buffer zone at the shoulder, and the contact pressure change abruptly. The lower portion of the rubber core’s inner wall serves as the primary sealing area. Increasing the piston displacement appropriately can enhance the sealing performance of the rubber core. The results can provide a theoretical basis for the optimization design of the conical blowout preventer.
Perceptions and Attitudes about COVID-19 Vaccines Regarding Vaccine Intention and Hesitancy of Attendants of a Healthcare Center in Northern Cyprus
Authors: Asut Ozen , Vaizoglu Songul , Abuduxike Gulifeiya , Cali Sanda
Published: September 2023

BACKGROUND AND AIM: Vaccination is considered the most effective method of providing immunity in the community for controlling morbidity and mortality due to infectious diseases. A safe and effective vaccine is considered a critical tool for controlling the COVID-19 morbidity and mortality as well. Hence, knowledge of the attitudes and perceptions of vaccination in all countries should be available and recorded by health systems. The aim of this study was to determine the attitudes and perceptions about COVID-19 vaccination regarding the intention and hesitancy of attendants of a healthcare unit in Northern Cyprus, where no previous data among the general population was available at the time of the study.

METHODS: This is a cross-sectional epidemiological study of 428 patients and other attendants who applied to the healthcare center in the city of Nicosia, Northern Cyprus. The data collection tool was a questionnaire designed by the researchers, utilizing international documents on COVID-19 vaccinations. The data were analyzed using the SPSS 18.0.0 program. The differences between the groups were evaluated using the chi square test, with the significance level set as p<0.05.

RESULTS: Of the total participants, 93.0% were vaccinated against COVID 19 with more one more doses in total, 64.5% with 2 doses and 19.4% with 3 doses. The one–dose rate was significantly higher than the world average of 70%. Of those who were vaccinated, 64.5% had received the Sinovac and 37.6% the Comirnaty vaccine. The majority of the participants believed that vaccines are effective for protecting against infection. Personal protection from the infection was the leading factor for vaccination willingness. Higher education was a predictor of better knowledge of COVID-19 vaccines and also vaccination intention. Among the 16% with vaccine hesitancy, the reasons were identified as speedy authorization of the vaccines by the WHO (40%), adverse effects of the vaccines (22.4%), speedy development of the vaccines (18%), the ineffectiveness of the vaccines for prevention (9.6%), and dislike of vaccines or injections in general (6.1%).

CONCLUSION: This study has revealed the vaccination intention and hesitancy status and associated factors among the general population in this region of the world, illustrating similar findings to those in the medical literature.
Estrategias de seguridad
Authors: Cosidó Gutiérrez ignacio , Pardo de Santayana José
Published: September 2023

Los análisis que se contienen en esta obra se basan en las estrategias aprobadas con anterioridad a la guerra de Ucrania. Hay, sin embargo, una diferencia sustancial entre las estrategias de los países democráticos y la de los regímenes totalitarios. En términos generales, las estrategias de los países occidentales se explicitan en documentos públicos que definen con mayor o menor precisión los riesgos y amenazas, los intereses nacionales, las políticas de seguridad y defensa, las líneas de acción y los medios previstos para alcanzar sus objetivos estratégicos. Por el contrario, las estrategias de los regímenes totalitarios, sobre todo en el caso de la República Popular China, tienden a ser mucho más opacas, con ausencia de documentos oficiales que las expongan o con declaraciones muy generales que no aportan excesiva información. Esto hace que los análisis sean más complejos y necesariamente más interpretativos.
Smathers Libraries Undergraduate Student Fellowship in Food, Immigration, and Identity (Summer 2020)
Authors: Jerome Melissa
Published: September 2023

This article describes the Undergraduate Fellowship in Food, Immigration, and Identity (through tha Latin American & Caribbean Collection), that took place during Summer 2020.
Revitalizing Native American Oral Histories at the University of Florida
Authors: Mattson Indica , Mahar Ginessa , Durant Fletcher
Published: September 2023

Beginning in 2020, the George A. Smathers Libraries and the Samuel Proctor Oral History Program have partnered on a Doris Duke Charitable Foundation (DDCF)-funded project to revitalize a collection of over 1,000 legacy Native American oral history materials from the late 1960s to the 1970s. This article shares the project's progress and illustrates enduring considerations for working with Indigenous collections.
Library Communications Through the Years with Barbara Hood
Authors: Stapleton Suzanne Cady , Hood Barbara
Published: September 2023

Barbara Hood was the Public Information Officer and Director of Communications for the Libraries since 1999. Prior to joining the Libraries, Barbara owned and managed Creative Graphics for 20 years. To this day, she produces the annual class newsletter for the Sebring High School Class of 1970. Barbara is co-author of Collaborating with Strangers: Facilitating Workshops in Libraries, Classes, and Non-profits, published in 2017. She is a previous winner of the Superior Accomplishment Award from the Libraries. Barbara retired after 23 years of service to the University of Florida George A. Smathers Libraries. In this interview, we hear from Barbara as she reflects on developments in communication and cultural shifts within the Libraries.
Soil Carbon Stock and Soil Properties under Different Land Use Types of Agriculture
Authors:   Department of General Science, Faculty of Science and Technology, Muban Chombueng Rajabhat University, Ratchaburi, Thailand, Chanlabut Utain , Nahok Benchawan ,   Department of General Science, Faculty of Education, Chaiyaphum Rajabhat University, Chaiyaphum, Thailand
Published: September 2023

Agriculture soils play a crucial role in carbon storage and food security. However, uncertainty remains about soil carbon stocks due to spatial variability. This study estimated soil carbon stocks in agricultural land and examined the impact of land use and soil properties on soil organic carbon in Ratchaburi Province, Thailand. Soil samples were collected at three depths (0-10, 10-20, and 20-30 cm) within five different land use types: cassava, coconut, paddy fields, pineapple, and sugarcane. The results revealed that soil organic carbon decreased with increasing depth. Significant differences in soil carbon and soil properties were observed among land uses. The carbon stocks at 0-30 cm depth were as follows: coconut (35.87 mg C/ha), paddy fields (31.17 mg C/ha), sugarcane (28.02 mg C/ha), pineapple (21.79 mg C/ha), and cassava (16.12 mg C/ha). The carbon stocks were significantly correlated with sand, density, clay, silt, and pH. This study highlights the impact of land use types on carbon stocks in agricultural soils and emphasizes the role of soil properties, particularly soil texture, in influencing carbon storage variability. Furthermore, the study highlights the carbon storage potential in agricultural areas, which could guide the formulation of policies to utilize agricultural land to offset CO2 emissions from other sectors.
The Virtual Museum Rubric: A Preliminary Report
Authors: Yano Kojiro , Nishimura Masamichi , Yokoyama Eri
Published: September 2023

Recent developments in virtual reality (VR) have opened the doors to many unique opportunities for individuals to create virtual exhibitions and museums. However, this does not guarantee the creation of successful museums, as many factors need to be considered to provide an enjoyable visitor experience. To this end, this paper describes our preliminary attempt to construct a rubric for assessing the quality of virtual reality museums. The development stage was divided into four main areas. First, a research team was asked to reflect on their desired expectations of the exhibitions, the goals for creating the museums, and their expectations. Second, the specifics of the evaluation of the design and structure were determined with reference to the museological literature. Thirdly, the related objectives were identified and grouped, leading to the formation of the core dimensions for the rubric. Finally, the core dimensions were used to create an evaluation rubric. The rubric was divided into four categories: Exhibition Planning, Spatial Design, Display, and Exhibition Graphics. For each category, the specific dimensions were selected, and the basic concepts were discussed. Furthermore, the evaluation criteria for successful exhibitions and experiences were presented, as well as how each dimension helps in the evaluation of virtual reality museums. The rubric we presented is expected to improve the overall quality of exhibitions and experiences of virtual reality museums.

 Keywords: Museology, Virtual Reality, Metaverse, Evaluation, Gallery
НАРОДНІ ТА ПРОФЕСІЙНІ МАЙСТРИ У ВИСТАВКОВІЙ ДІЯЛЬНОСТІ УКРАЇНИ (ПЕРША ТРЕТИНА ХХ СТОЛІТТЯ)
Authors: ДЯЧЕНКО Алла
Published: September 2023

У статті розглядаються основні тенденції, особливості та проблемні питання виставкової діяльності в Україні, що в центрі уваги має показ мистецьких надбань народних та професійних майстрів першої третини ХХ століття. Українські народні художні промисли завжди складали важливу частину мистецької спадщини та національної гордості країни, їх популяризація не тільки в Україні, а й в усьому світі є однією з головних задач державної політики та громадського суспільства. Саме тому є актуальним пошук найбільш ефективних способів презентації великого доробку народної творчості в країні та на міжнародній арені. Метою роботи є встановлення ролі та місця творів народних майстрів першої третини 20 століття, що вони відіграють у виставковій діяльності України. Методологія дослідження є комплексною, для опису теоретичних аспектів використано описовий метод, аналіз та синтез; у роботі представлено порівняльний та інтердисциплінарний методи. Наукова гіпотеза дослідження полягає в тому, що виставкова діяльність, пов’язана із народним мистецтвом України, має бути системною та тривалою роботою, котра покликана сприяти формуванню позитивного іміджу країни, є носієм унікального та складного мистецького простору. Результатом дослідження стало встановлення ролі та змісту популяризаторської політики щодо народної культури та мистецтва України, виставок історичного ретроспективного характеру, що мають відбуватись регулярно, підтримуватись державними програмами та спонсорами. Представлено розгляд засад виставкової діяльності у репрезентації робіт народних та професійних майстрів як частини історії цілої країни. Не є виключенням і мистецькі роботи майстрів першої третини 20 століття. Це й зумовило наукову новизну представленого дослідження. Практична значущість дослідження полягає у презентації основних напрямів народних промислів та майстрів, представлених у виставковій діяльності України. У перспективі варто продовжувати аналіз еволюції творчості народних та професійних майстрів, шляхи репрезентації їх творів світу, формування позитивного іміджу України.
«КРИМСЬКІ ЕСКІЗИ» СЕРГІЯ БОРТКЕВИЧА КРІЗЬ ПРИЗМУ СЕМАНТИКИ ОРІЄНТАЛІЗМУ
Authors: БОДНАР Денис
Published: September 2023

Творчість Сергія Борткевича ‒ харківського композитора і піаніста, протягом більшовицької доби була невідома на Батьківщині. Сьогодні маємо можливість вивчати спадщину мистця у контексті історичних, жанрових, стилістичних та інших поглядів, зокрема ‒ важливої для сьогодення проблеми «культурної зустрічі» оксциденту та орієнту у музичному мистецтві минулих століть. Мета статті – виявити семантико-стилістичні риси «східного» типу мислення у сюїті «Кримські ескізи» Сергія Борткевича та показати вказаний твір серед інших взірців втілення орієнталізму в українській фортепіанній музиці. Методологія дослідження повʼязана із такими завданнями: окреслити сутність феномену «культурної зустрічі» Заходу і Сходу; розглянути загальну тематичну панораму музики Сергія Борткевича, вирізнити твори, в яких проявляються риси орієнталізму; проаналізувати фортепіанну сюїту «Кримські ескізи» ор. 8 крізь призму виявлення рис орієнталізму; показати сюїту Сергія Борткевича серед інших взірців втілення орієнталізму в українській фортепіанній музиці. Наукова новизна. У статті проаналізовано твір забороненого у радянську добу композитора Сергія Борткевича крізь призму втілення орієнтальної семантики. Висновок. Фортепіанна сюїта «Кримські ескізи» Сергія Борткевича відображає традиційний для композитора романтичний світогляд, що втілюється у відповідних семантико-стилістичних рисах, у тому числі зумовлених поєднанням оксцидентного та орієнтального типів музичного мислення, останній з яких зумовлений атмосферою південного гірського і морського середовища Криму. Прояви оксцидентного типу мислення у сюїті зумовлені її програмною семантикою, повʼязаною із південним світом природи і життя. Вони виявляються у колористичному показі таємничої ущелини з її розмаїтими ландшафтами у першому номері «Скелі Уч-Кош», витонченістю мелодизму в шатах арабескової фактури та свіжим колоритом гармонічних співставлень у другому номері «Морський каприс», «примхливістю» мелодизму та східним колоритом натуральної етнічної ладовості у пʼєсі «Орієнтальна ідилія», барвах гармонічних послідовностях та фонізмом обертонових звучань у фіналі «Хаос».
АДМІНІСТРАТИВНІ ПРОЦЕДУРИ У СФЕРІ ПУБЛІЧНИХ ЗАКУПІВЕЛЬ
Authors: БОРИСЕНКО Антон , ДЬЯЧУК Максим
Published: September 2023

Метою статті визначено здійснення характеристики адміністративних процедур у сфері публічних закупівель. З’ясовано, що функціонування opгaнiв дepжaвнoï влaди та органів місцевого самоврядування є неможливим без забезпечення здійснення публічних закупівель як засобу прозорого та відкритого розпорядження публічними фінансами. Підкреслено, що забезпечення раціональності використання публічних коштів як одна із стратегічних задач розвитку України визначено у cт. cт. 148-156 Глaви 8 «Дepжaвнi зaкyпiвлi» «Topгiвля i питaння, пoв'язaнi з тopгiвлeю» Угoди пpo acoцiaцiю з Євpoпeйcьким Coюзoм, що вимагають адаптації національного зaкoнoдaвcтвa Укpaïни y cфepi публічних зaкyпiвeль. Встановлено, що етапами проведення публічних закупівель є: оприлюднення інформації про закупівлю; обрання однієї з таких процедур: (а) відкриті торги; (б) конкурентний діалог; (в) переговорна процедура закупівлі. При цьому підкреслено, що в рамках кожної з вищевказаних процедур містяться окремі провадження (наприклад, із оголошення про проведення процедури відкритих торгів; перевірки тендерної документації; подання тендерної пропозиції; розкриття, розгляд та оцінка тендерних пропозицій; прийняття рішення про намір укласти договір про закупівлю. Зроблено висновок, що замовники товарів, послуг та робіт за процедурою публічних закупівель відносяться до категорії суб’єктів, що виконуються управлінські функції із здійснення завдань, покладених на сучасну державу, але водночас коло таких суб’єктів зобов’язано і виступати як надавачі адміністративних послуг. Визначено, що у сфері здійснення публічних закупівель реалізуються такі види адміністративних процедур, як: реєстраційні, інформаційні, втручальні, інспекційні, контрольно-наглядові, деліктні. Підкреслено, що ефективність реалізації такої сукупності адміністративних процедур у сфері публічних закупівель впливають на якість суспільних відносин із забезпечення стратегії використання публічних фінансів.
Diversity and function of fluorescent molecules in marine organisms
Authors: Poding Lars , Jägers Peter , Huhn Mareike , Herlitze Stefan
Published: September 2023

Fluorescence in marine organisms has mainly been studied in corals but is found in many different phyla such as Annelida, Crustacea, Mollusca, and Chordata. While many fluorescent proteins and molecules have been identified, very little information is available about the biological function of fluorescence. In this review, we focus on describing the occurrence of fluorescence in marine animals and the behavioural and physiological functions of fluorescent molecules based on experimental approaches. These biological functions of fluorescence range from prey and symbiont attraction, photoprotection, photoenhancement, stress mitigation, mimicry, aposematism to inter- and intraspecific communication. We provide a comprehensive list of marine taxa that utilize fluorescence, including demonstrated effects on behavioural or physiological responses. On one hand, this review describes the numerous known functions of fluorescence in anthozoans and their underlying molecular mechanisms in detail. On the other hand, it highlights which marine taxa should be further studied regarding their functions of fluorescence. We suggest that an increase in research effort in this field could contribute to understanding the capacity of marine organisms in mitigating negative effects of climate change.