bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hybrid Four Vector Intelligent Metaheuristic andDE for Solving Complex and Engineering DesignOptimization Problems
Authors: fakhouri hussam , Ishtaiwi Abdelraouf , Makhadmeh Sharif , hamad faten 
Published: May 2024

Abstract

Metaheuristic algorithms play a pivotal role in addressing complex and nonlinear optimization challenges. However, traditional optimizers often struggle to locate the global optimum in intricate problem spaces, necessitating the development of hybrid methodologies. This paper introduces FVIMDE, a cutting-edge hybrid optimization algorithm that amalgamates the innovative Four Vector Intelligent Metaheuristic (FVIM) with the proven robustness of Differential Evolution (DE). Designed to adeptly maneuver through the complex terrains of various optimization and engineering design problems, FVIMDE is tested and evaluated over three well-known benchmark suites—CEC2017, CEC2022, and a specially set of 50 benchmark functions. statistacel tests has been calculated including mean, standard deviation and the wilcoxon sum rank test. Further FVIMDE has been compared with state-of-art optimizers. Subsequent applications of FVIMDE to five intricate structural engineering challenges further validate its effectiveness. Comparative analyses against several leading optimization algorithms highlight the superior adaptability and robustness of FVIMDE, showcasing its exceptional performance and significant improvements over traditional methods in diverse optimization environments.
T2T-ViT: A Novel Semantic Image Mining Approach for Improving CBIR Using Vision Transformer
Authors: Thanikachalam Rajendran , Thavasimuthu Rajendran , Arulkumar V , Prabin S M , Saranya N , S Ranjana Devi 
Published: May 2024

Abstract

In the field of Image Mining (IM) and Content-Based Image Retrieval (CBIR), the significance lies in extracting meaningful information from visual data. By focusing on the intrinsic meaning within images, semantic features enhance the accuracy and relevance of image retrieval systems, bridging the gap between human understanding and computational analysis in visual data exploration. This research explores the fusion of image processing techniques and CBIR. The need for this research is based on the persistent challenges in existing CBIR systems, where traditional methods often fall short of comprehensively capturing the intricate semantics of images. The primary objective of this research is to propose a novel approach to CBIR by implementing the Tokens-to-Token Vision Transformer (T2T-ViT) to address the limitations of traditional CBIR systems and enhance the accuracy and relevance of image retrieval. The T2T-ViT model achieves exceptional performance in CBIR on Corel datasets, with a high accuracy of 99.42%, precision of 98.66%, recall of 98.89%, and F-measure of 99.35%. The model demonstrates a harmonious balance between identifying and retrieving relevant images compared to existing models.
Archaeology drawing generation algorithm based on multi-branch feature cross fusion
Authors: Zeng Xiaolin , Cheng Lei , Li Shanna , Liu Xueping 
Published: May 2024

Abstract

Archaeology drawing is a graphic recording technique that delineates the shape, structure, and ornamentation of cultural relics with lines, serving as a vital material in archaeological work and scholarly research. Aiming at the problems of low line accuracy and serious disease interference in the results of current mainstream image generation algorithms, this paper proposed an archaeology drawing generation algorithm based on multi-branch feature cross fusion (U2FGAN). The algorithm optimized skip connections in U2Net through channel attention mechanism, thereby constructing a multi-branch generator consisting of a line extractor and an edge detector, which separately identified line features and edge information within relic images before fusing them to generate accurate high-resolution line drawings. Additionally, a multi-scale conditional discriminator was incorporated to guide the generator towards outputting high-quality line drawings with clear details and intact structures. Experiments conducted on the Dunhuang mural line drawing datasets demonstrate that compared to mainstream counterparts, U2FGAN achieved a reduction in Mean Absolute Error (MAE) by 10.8–26.2%, while also exhibiting substantial improvements in Precision (by 9.8–32.3%), Fβ-Score (by 5.1–32%), and PSNR (by 0.4 to 2.2 dB). Experimental results show that the proposed method outperforms other mainstream algorithms in the task of archaeological line drawing generation.
Epipolar Constraint Guided Differentiable Keypoint Detection and Description
Authors: Li Xi , Feng Yulong , Yu Xianguo , Cong Yirui , Chen Lili 
Published: May 2024

Abstract

Sparse local feature matching methods have made significant strides in a variety of visual geometric tasks. Recently, the weakly supervised under epipolar constraint approaches achieve stronger performance compared to the fully supervised methods through the decoupled training describe-then-detect. However, such methods base on the policy gradient to train the detector, ignoring the reliability of the keypoints. Meanwhile, many of the sparse local feature matching methods place more emphasis on accuracy over speed, being unfriendly for real-time applications. To address these issues, we introduce the differentiable keypoint extraction and the dispersity peak loss to generate clean score maps and enhance the reliability of the keypoints in the weakly supervised method. Additionally, we propose a straightforward yet efficient model that achieves a good balance between accuracy and speed. We conduct experiments on multiple public benchmark datasets, achieving higher performance than existing methods. The code will be available at https://github.com/FYL0123/WSDK.
Terrestrial Laser Scanning in Forestry: Accuracy and Efficiency in Measuring Individual Tree Structural Parameters
Authors: Li Zhangmai , Qiao Qinghua , Han Zibin , Liu Xinyi , Wang Yueyang , Deng Lei 
Published: May 2024

Abstract

Tree position, tree height and diameter at breast height are extremely important structural parameters in forest sample plot surveys. Compared with traditional manual measurement methods, the advantages of terrestrial laser scanning (TLS) in terms of data acquisition efficiency and accuracy have led to its gradual and widespread use, but the research on the accuracy of TLS in extracting forest structural parameters is still insufficient. This paper analyzes the accuracy and effectiveness of TLS in extracting structural parameters (tree height, diameter at breast height, and location) using poplar and Styphnolobium as examples, using TLS, airborne lidar system (ALS), and combining with field measurements. The results show that TLS has significant shortcomings in measuring tree height due to observation viewpoint limitations and forest obstruction, but is more efficient and accurate for breast diameter within the observation range (radius < 50m): the detection rate of single-station TLS reaches 50–60%, while the maximum measurement error (RMSE) of DBH is 1.6cm; Furthermore, even with RTK support, the single tree location bias (M) of two independent TLS measurements is 0.11m. TLS is of great value in obtaining forest sample parameters efficiently, and this study provides a reference for evaluating the accuracy and reliability of TLS technology in forest sample measurements.
Brazilian Non-timber Forest Product Market and a study case of a potential species: Lippia origanoides
Authors: Silva¹ Thaís Miranda , Aguiar Cauana Silva Andrade , Goulart³ Selma Lopes , Silva Sebastião Cruz , Protasio Thiago De Paula , Oliveira Ximena Mendes , Mayrinck Rafaella Carvalho 
Published: May 2024

Abstract

The non-timber forest product (NTFP) market has been growing recently due to the increasing demand and the growing awareness of environmentally friendly products. The development of NTFP markets around the globe contributes to creating jobs in forest-based communities, circulating economies, and protecting the forests. The Brazilian NTFP market is a billionaire business, encompassing native Amazonian species with high market value in the north to exotic pine plantations tapped for resin and its derivatives in the south. Even though the Brazilian NTFP market is progressing, the country has a rich biodiversity still to be better understood regarding its ecology, preservation, and commercial applicability. Lippia origanoides is a species with no commercial value for timber but produces oil containing important chemical components for other sectors. The goal of this study was to offer an overview of the Brazilian NTFP market, and to evaluate the essential oil extracted from L. origanoides in terms of its yield, components and concentration for potential commercial use. Oil was extracted from flowers and leaves collected from different locations in the Campos Ferruginosos National Park. We found that the Brazilian NTFP market is growing. The main products are food-related, and the main producer states are Para, Parana, and Amazonas. Besides products from native species, the market encompasses NTFP from exotic species, which is very significant economically. L. origanoides oil yield, components and concentration varied with source and plant location. Its main components are in demand for the pharmacology, food, and cosmetic industries. L. origanoides can be an alternative natural source of these components to meet demand.
Large Language Multimodal Models for New-Onset Type 2 Diabetes Prediction using Five-Year Cohort Electronic Health Records
Authors: Ding Jun-En , Phan Nguyen Minh Thao , Peng Wen-Chih , Wang Jian-Zhe , Chug Chun-Cheng , Hsieh Min-Chen , Tseng Yun-Chien , Chen Ling , Luo Dongsheng , Wu Chenwei , Wang Chi-Te , Hsu Chih-Ho , Chen Yi-Tui , Chen Pei-Fu , Liu Feng , Hung Fang-Ming 
Published: May 2024

Abstract

Type 2 diabetes mellitus (T2DM) is a prevalent health challenge faced by countries worldwide. In this study, we propose a novel large language multimodal models (LLMMs) framework incorporating multimodal data from clinical notes and laboratory results for diabetes risk prediction. We collected five years of electronic health records (EHRs) dating from 2017 to 2021 from a Taiwan hospital database. This dataset included 1,420,596 clinical notes, 387,392 laboratory results, and more than 1,505 laboratory test items. Our method combined a text embedding encoder and multi-head attention layer to learn laboratory values, and utilized a deep neural network (DNN) module to merge blood features with chronic disease semantics into a latent space. In our experiments, we observed that integrating clinical notes with predictions based on textual laboratory values significantly enhanced the predictive capability of the unimodal model in the early detection of T2DM. Moreover, we achieved an area greater than 0.70 under the receiver operating characteristic curve (AUC) for new-onset T2DM prediction, demonstrating the effectiveness of leveraging textual laboratory data for training and inference in LLMs and improving the accuracy of new-onset diabetes prediction.
Development of Automated Proteomic Workflows Utilizing Silicon-Based Coupling Agents
Authors: Frey Connor , Arad Maor , Ku Kenneth , Hare Rhien , Balagtas Ronald , Shi Yuming , Moon Kyung-Mee , Foster Leonard , Ghafourifar Golfam 
Published: May 2024

Abstract

Automated methods for enzyme immobilization via 4-triethoxysilylbutyraldehyde (TESB) derived silicone-based coupling agents were developed. TESB and its oxidized derivative, 4-triethoxysilylbutanoic acid (TESBA), were determined to be the most effective. The resulting immobilized enzyme particles (IEPs) displayed robustness, rapid digestion, and immobilization efficiency of 51 ± 8%. Furthermore, we automated the IEP procedure, allowing for multiple enzymes, and/or coupling agents to be fabricated at once, in a fraction of the time via an Agilent Bravo. The automated trypsin TESB and TESBA IEPs were shown to rival a classical in-gel digestion method. Moreover, pepsin IEPs favored cleavage at leucine (>50%) over aromatic and methionine residues. The IEP method was then adapted for an in-situ immobilized enzyme microreactor (IMER) fabrication. We determined that TESBA could functionalize the silica capillary's inner wall while simultaneously acting as an enzyme coupler. The IMER digestion of bovine serum albumin (BSA), mirroring IEP digestion conditions, yielded a 33-40% primary sequence coverage per LC-MS/MS analysis in as little as 15 minutes. Overall, our findings underscore the potential of both IEP and IMER methods, paving the way for automated analysis and a reduction in enzyme waste through reuse, thereby contributing to a more cost-effective and timely study of the proteome.
Antenatal dexamethasone treatment and long-term programming
Authors: Shaitarova A. V. , Suplotova L. A. 
Published: May 2024

Introduction. Congenital adrenal hyperplasia (CAH) due to 21-hydroxylase deficiency (21OHD) is one of the most common autosomal recessive disorders, affecting 1:9000-1:15000 live births. During the last twenty years in most countries prenatal DEXtreatment has been used to prevent genital virilisation and androgen excess outcome on sex brain differentiation of XX-foetus with 21-hydroxylase deficiency. Fetal DEX-treatment for the prevention of prenatal virilization of genitalia in girls affected by classic congenital adrenal hyperplasia (CAH) has been used in many medical centers worldwide since the mid-1980s. The treatment is effective in reducing virilization, but the potential long-term outcome has only been investigated in a minority of treated cases.Aim. To study possible long-term effects of prenatal glucocorticoid treatment on children cognition and physical development.Materials and methods. The prospective research of intellectual development patterns of 288 children from mothers prenatally treated with dexamethasone, and of 107 children (the observational group) from mothers, not treated with dexamethasone, with high biochemical markers of adrenal hyperandrogenism.Results. Significant differences of frequency of overweight and obesity (p = 0.04); of intellectual quotients (p = 0.0004) in schoolaged children have been revealed in the treatment group vs observational group. The level of general intelligence of school-aged children whose mothers have been treated with dexamethasone in I and II trimesters of pregnancy is considerably lower than that of children from the observational group (p = 0.004; p = 0.0005, respectively). The tendency of correlation between IQ quotients of school-aged children and the initiation date of prenatal dexamethasone treatment has been established (r = 0.27; p = 0.004).Сonclusion. Prenatal DEX-treatment at an early gestation can result in significant adverse effects on intellectual abilities and physical development of children furtheron.
Effectiveness evaluation of the complex therapy in subjects after acute rhinosinusitis treatment using quality of life measurement
Authors: Chaukina V. A. , Kiselev A. B. , Andamova O. V. , Avtushko A. S. 
Published: May 2024

Introduction. The therapy to treat acute infectious diseases of the nose and paranasal sinuses aims to improve the quality of life throughout the disease course and prevent its complications. Acute rhinosinusitis follows a mild to moderate clinical course in most cases, which entails low medical aid appealability.Aim. To analyse health-related quality of life (HRQoL) of patients throughout acute viral rhinosinusitis course and within 2 weeks after illness.Materials and methods. A SF-36 survey was conducted 2 weeks after the date of recovery specified in the out-patient medical records, i.e., a 4-week period of life during which a patient experienced acute viral rhinosinusitis was to be assessed. The division into groups was carried out according to a retrospective analysis of the treatment regimen used. The test data were processed using Z-statistics. The Mann-Whitney U test was used to compare differences between the groups.Results and discussion. Health-related quality of life depends on the disease treatment strategy applied. An observational approach comprising on-demand use of nasal decongestants and nasal moisturisers was associated with a physical health level of 30.55 ± 2.74 scores and a mental health of 32.59 ± 1.47 scores out of 100 scores possible. In patients receiving nasal decongestants and nasal moisturisers, antiviral drugs (regardless of the route of administration), and expectorants, the physical health level was determined as 34.76 ± 2.78 scores, whereas the mental health level as 33.26 ± 2.52 scores. The patients who used decongestants, nasal moisturisers and herbal medicines with anti-inflammatory and mucolytic properties for the treatment showed the highest scores in physical (39.02 ± 2.23 points) and mental health (34.35 ± 2.34 points).Conclusion. Acute viral rhinosinusitis significantly impairs the patient’s quality of life both during the illness and over the following 2 weeks. The deterioration of the physical health component is accompanied by a comparable level of deterioration of mental health. In addition to nasal congestion, the subjective symptom complex in acute viral rhinosinusitis includes a physical weakness combined with pain and feeling of oppression.
Features of management of patients with acute tonsillopharyngitis
Authors: Vladimirova T. Yu. , Martynova A. B. 
Published: May 2024

Introduction. The prevalence of acute and chronic rhinitis determines the socio-economic side of the issue and requires effective treatment and improvement of patients’ quality of life.Aim. To study the effectiveness of the drug Strepsils® Intensive in patients with acute tonsillopharyngitis in different age groups. Materials and methods. 143 patients were examined, of whom 36 adolescents (mean age 14.7 ± 3.4 years) and 34 adults (mean age 29.9 ± 7.1 years) were selected. All patients included in the study received Strepsils® Intensive for resorption, one tablet every 3–6 hours (5 tablets per day) for 3 days. To assess the dynamics of complaints, a 10-point visual analogue scale (VAS) was used; additional assessment included mesopharyngoscopy data on the 1st, 2nd and 3rd days of observation. Patient satisfaction with treatment and the occurrence of adverse reactions were studied.Results and discussion. Evaluation of treatment results using a 10-point VAS showed a significantly significant (p < 0.05) improvement in the well-being of patients in both groups when prescribed the drug Strepsils® Intensive. By the 1st day of treatment with Strepsils® Intensive, sore throat in adult patients decreased by 46% (4.1 ± 0.3 points) (p < 0.05). The dynamics of the severity of sore throat in the group of adolescents decreased by 60.2% (5.3 ± 0.1 points). There was a decrease in difficulty swallowing by 50% in adults and by 60.5% in adolescents. By the end of the observation, the pharyngoscopy picture was normalized in both groups in 97% of cases. Patient satisfaction with the effectiveness of treatment was rated as excellent in 95.7% (n = 67), and as average in 4.3% (n = 3).Conclusions. The use of the drug Strepsils® Intensive is advisable in the treatment of acute tonsillopharyngitis in adolescents and adults against the background of ARVI as an effective means of relieving the severity of symptoms.
External otitis media: modern possibilities for improving the effectiveness of treatment and the quality of life of patients
Authors: Korkmazov M. Yu. , Gizinger O. A. , Kornova N. V. , Zyryanova K. S. , Korkmazov A. M. 
Published: May 2024

Introduction. Polyethologicity of otitis externa with inflammation of the auricle, ear canal and outer layer of the eardrum, persistent course and high probability of recurrence necessitates improved treatment.Aim. To evaluate the effectiveness of the use and the impact on the quality of life of combined ear drops with antimicrobial and local anesthetic effects.Materials and methods. A simple randomized controlled clinical trial involved 56 people, including 25 women and 31 men aged 32 to 56 years, suffering from acute diffuse otitis externa. Clinical efficacy, recovery time and impact on quality of life were evaluated in two groups: groups 1 (n = 27), patients receiving ear drops containing choline acetate as local therapy, with group 2 (n = 29) taking a multicomponent drug containing polymyxin B sulfate 1,000,000 IU, neomycin sulfate 0.5 g (375,000 IU) and lidocaine hydrochloride in the form of ear drops. The assessment of otalgia, hearing loss and discharge from the external auditory canal was carried out on the VAS, quality of life scale using the SF-36 general questionnaires.Results and discussion. There was a positive dynamic of clinical manifestations and restoration of quality-of-life indicators in a shorter period (3rd, 5th day) with the disappearance of all the main clinical symptoms (7th day) with good tolerability and absence of side effects in the second group of patients taking the multicomponent drug.Conclusions. The use of ear drops containing a combination of topical antimicrobial drugs with an anesthetic in the complex therapy of otitis externa significantly improved the clinical symptoms and quality of life of patients.
Key issues of acute rhinosinusitis
Authors: Krivopalov A. A. , Arustamyan I. G. , Krasheninnikova L. S. 
Published: May 2024

Introduction. There is a clear need to discuss separate issues related to acute rhinosinusitis. The rationale is that prevalence rates of the disease remain high. At the same time, the incidence rates are growing globally, including Russia, Europe, the USA and Asia. Apart from that, acute rhinosinusitis significantly deteriorates the patients’ quality of life, causing physical, emotional and professional malaise. Moreover, the complications of acute rhinosinusitis may have serious consequences, and the economic costs to society are significant, including both explicit and implicit costs.Aim. To raise the level of awareness of otolaryngologists about current issues of acute rhinosinusitis based on the analysis and synthesis of literary sources.Materials and methods. An analysis of the published literature on the cause-and-effect relationship between the development and features of acute rhinosinusitis in the specialized academic research databases RSCI, eLibrary.Ru, Scopus, Web of Science, Medline over the last ten-year period was carried out.Results and discussion. We presented a brief overview of the etiology, epidemiology, risk factors, and diagnostic methods of acute rhinosinusitis based on the results of scientific literature review. The issues of treatment and prevention strategies, problems of antibiotic resistance are considered. The article brings to the fore the issues related to risk factors, among which it highlights an increasing incidence of acute respiratory viral infections, environmental and lifestyle influences. Modern diagnostic methods are addressed. We also emphasized the issues of improvement of clinical guidelines with a focus on recent research, stressed the importance of an individual approach to each patient, taking into account the severity and features of the course of the disease in individual patients.Conclusions. The paper considers a conceptual solution for providing medical care to patients with acute rhinosinusitis, which is based on the principles of evidence-based medicine and is regulated by legitimate clinical guidelines, both issued before and currently in force, including international ones.