bluuebunny/crossref_metadata_2025_split huggingface dataset:
YOLO-DTO: Automotive door panel fastener detection algorithm based on deep learning
Authors: Xiao-hui Wang , Yun-shuo Jia , Feng-Juan Guo 
Published: April 2024

Abstract

The common detection of fasteners of automobile door panels is based on the template matching method, which has the problems of low detection accuracy and poor real-time performance under the influence of different lighting and different placement positions. To improve the detection speed and accuracy of fasteners in complex scenes, a small object detection algorithm YOLO-DTO (Detect Tiny Object) was proposed based on the YOLOv8 algorithm. Firstly, according to the characteristics of fasteners accounting for fewer image pixels, this paper reconstructs the early stage of the original algorithm by introducing the SPD (space-to-depth) module to retain more fine-grained information about fasteners, secondly, to enhance the algorithm's ability to pay attention to the context information of fasteners, the selective attention module is embedded in the Neck output position of the algorithm, and to optimize the regression efficiency of the bounding box, the CIOU loss function is replaced by the MPDIOU loss function. The experimental results show that the average detection accuracy of the YOLO-DTO algorithm is 98.8%, which is 9.1% and 1.7% higher than that of the template matching method and the YOLOv8 algorithm, respectively, which meets the detection standard of the factory production line and has practical value.
Mittag-Leffler Functions in the Integral Representation of a Class of FDEs: Existence, Stability and Numirical Study.
Authors: Benhamida Ouafaa 
Published: April 2024

Abstract
This paper proposes a new fractional order differential problem of Langevin type. Using Mitttag Leffler functions in the integral representation of the problem, the Banach fixed point theorem is applied to prove an existence and uniqueness result of solution for the proposed problem. Then, the existence of at least one solution is established and some illustrative examples are discussed. The stability in the sense of Ulam Hyers is also investigated. Finally, numerical simulations of the solutions are performed using Runge Kutta method in combination with decoupling and quasi-linearization techniques.
Mathematics Subject Classification (2010): 26A33, 34A60, 65L06.
Effect of some medicinal oil with adjuvant (BIO-FILM) on maize, sunflower and sorghum productivity and associated weeds
Authors: Kamel Enase Mohamed , Elain Hesham Mohamad Ali , Ahmed Al. Badr saad , Mekky Mohammed Shams 
Published: April 2024

Abstract
The aim of this study to evaluate the applied basil and camphor oils for weed control and phytotoxic effect on some field crops, compared to chemical and mechanical weed control as well as un-weeded check. Wire house and field experiments were conducted during the period from the year 2020 to 2023 in the experimental farm and wire house of Weed Research Central Laboratory at Giza Research Station, Agricultural Research Center (ARC) Egypt, in Randomized Complete Block Design (RCBD) in four replicates.
The statically analyze of the data obtained, the significantly reduced of number and fresh weight of some weed species under all experiments by weed control treatments. Improvement of maize, sunflower and sorghum without any phytotoxic effect of essential oils or herbicides under study, except sorghum crop was sensitive to the herbicides used in the study.
Camphor and basil oils were more effective on Ipomea eriocarpa, Setaria virids, Trianthema portulacastrum, Cyperus rotundus and Cynodon dactylon. The reduction in fresh weight of weed species about between 80 to 100% under low weed seed bank of the soil and sensitive weed species and less effect under the high soil weed seed bank specially by I. eriocarpa and S. viridsdue to the emergence of this weed species after applied this oils.
Finley Camphor and Sweet basil oil can be using for weed control under low infestation by weeds and complement by one hand hoeing in case the high infestation by I. eriocarpa.
Generalized model of stochastic common property fishery differential game: Numerical study
Authors: Nikooeinejad Zahra , Heydari Mohammad 
Published: April 2024

Abstract
In a generalized model of stochastic common property differential game problem, we have a more flexible framework that extends the model to handle the natural growth, price and cost functions for a wide range of parameters. Unlike previous studies that appeared in the literature, instead of keeping the model as parsimonious as possible, we consider the nonlinear resource stock dynamics and nonquadratic payoff functions, focusing on monopoly, duopoly and oligopoly games with a feedback information structure. It is observed that the choice of model parameters has an important influence on the nature and analytical behavior of solution of the nonlinear HJB PDEs (ODEs) and consequently on Nash equilibrium strategies for finite- (infinite-) horizon planning. We can not derive a closed-form solution for this class of generalized models. Hence, this paper presents a collocation method based on the fractional-order shifted Chelyshkov polynomials to solve the nonlinear Hamilton-Jacobi-Bellman PDEs (ODEs) in the generalized stochastic common property differential game problem with finite- (infinite-) horizon. Numerical results show that the choice of different parameters in the approximate solutions based on the fractional-order shifted Chelyshkov polynomials greatly affect the performance of the collocation method. Also, the results show that the firms' optimal extraction plans are strongly influenced by the natural growth, price and cost functions with respect to different parameters.
A cross-sectional investigation on the function of the female pelvic floor in the Sichuan province, China
Authors: Min Ai-Ping , Zeng Die , Feng Xin , Zhang Rui-Jin , Pan Ting-Ting , Luo Jia-Qi 
Published: April 2024

Abstract
Background Pelvic floor dysfunction significantly impacts patients’ quality of life, and its incidence is steadily increasing over time. However, there remains a lack of sufficient awareness regarding this condition. This study aims to enhance public awareness through relevant survey.
Methods A total of 368 married women were randomly recruited from the Obstetrics and Gynecology Department of Leshan People's Hospital from May 2018 to December 2023 for pelvic floor function screening. Of these, 122 married women did not have children (group A), 122 married women had children before menopause (group B), and 124 women were postmenopausal (group C). Through questionnaire survey, Pelvic Organ Prolapse Quantification score, and myoelectric assessment, the data were collected and statistically analyzed.
Results The electrophysiological indicators of the three groups revealed statistically significant differences in the prevalence of manual muscle strength≥grade 3, anal lift muscle strength≥grade 3, Class I muscle fatigue, and maximum systolic pressure among the groups (p<0.05). However, there was no statistically significant difference observed in Class II muscle fatigue. (p≥0.05). The results of pelvic organ prolapse in the three groups showed statistically significant differences (p<0.05). When comparing the Aa value and C value between groups, there were statistically significant differences between group A and group B as well as between group A and group C (p<0.05). However, the differences between group B and group C were not statistically significant (p>0.05). In terms of the D value comparison, there was a statistically significant difference between group A and group C (p<0.05), but no significance was found when comparing group A with group B or when comparing group B with group C (p>0.05). Additionally, there were statistically significant variations observed in Ap values among the three groups (p<0.05).
Conclusion Before the onset of symptoms associated with pelvic floor dysfunction, there are changes in the position of pelvic organs and electrophysiological indicators of the pelvic floor. Therefore, early screening, detection, and treatment are crucial for preventing the development of pelvic floor dysfunction diseases.
Key words Healthy women, Pelvic floor function, Prevention, Pelvic organ prolapse quantification score, Electrophysiology
A Smart Contract Generation Method Based on Blockchain Patterns and Model-driven Multi-party Service Agreements
Authors: Shen Xinzhe , Li Wenyu , Xu Hanchuan , Luo Jiale , Wang Xiao , Wang Zhongjie 
Published: April 2024

Abstract

A multi-party service agreement refers to a textual agreement formulated under the participation of multiple parties, aiming to regulate the rights and responsibilities among them to facilitate their joint participation in a certain service or project. Traditional methods of executing agreements relying on centralized institutions may have potential trust issues. With the development of blockchain and smart contract technology, deploying textual agreements onto the blockchain for decentralized execution provides a new direction for addressing trust issues. However, the high complexity of textual agreements and cross-domain communication barriers result in difficulties and long cycles in smart contract development. To address the challenges faced in the development of smart contracts based on multi-party service agreements, this paper proposes a rapid and secure method for building smart contracts. Firstly, large language model(LLM) is employed to assist in extracting clause information from multi-party service agreements, and modeling the elements that can be expressed on the blockchain. Secondly, following the model-driven architecture (MDA), a smart contract reuse library is maintained to generate smart contract code. The results show that this method can automatically analyze the agreement text for blockchain representation, assist in manual modeling, generate the computation independent model(CIM), automatically convert it into the platform independent model(PIM), and further generate smart contract code. Through detailed case studies and verification of the code generation process, this paper demonstrates the feasibility and effectiveness of the proposed method. The generated code, after passing security checks, can be successfully deployed and used, providing reliable technical support for the execution of textual agreements.
A Novel Approach for Parameter Estimation of Mixture oftwo Weibull Distributions in Failure Data Modeling
Authors: Yan Tianyu , Fang Kai-Tai , Yin Hong 
Published: April 2024

Abstract

The mixture of two 2-parameter Weibull distributions (MixW), as a specialized variant of the mixtureof Weibull distributions, serves as an ideal model for heterogeneous data sets within the realms ofreliability studies and survival analysis. A principal challenge in dealing with MixW lies in the estima-tion of parameters. Inspired by the exemplary efficacy of the quasi-Monte Carlo method in Quantileestimation, this paper introduces an innovative approach, which employs the Harrell-Davis and threeSfakianakis and Verginis quantile estimators to enhance the representativeness of the sample, therebyimproving the accuracy of parameter estimation. Given the difficulty in deriving analytical expres-sions for the parameters of MixW and their propensity for convergence to local maxima, this paperadopts the sequential number-theoretic (SNTO) algorithm for the numerical resolution of parameterestimation. The initial optimization region for SNTO is determined via the graphical method of theWeibull Probability Plot (WPP). Simulation studies have demonstrated that our proposed methodsignificantly enhances estimation precision and reduces dependence on the “quality” of the sample.Furthermore, this methodology has been applied to two real data sets, showcasing the effectiveness ofour proposed approach.
Response of snowmelt-driven loess landslides to climate change in Ten- zan, north-west China
Authors: wei xueli , xian yu 
Published: April 2024

Abstract

In seasonally frozen regions, snowmelt-induced landslides are becoming a common geomorphological process. However, their failure mechanism are not yet well understood. This study focuses on the Zeketai River Basin in the Ili Basin of Ten-zan, China, and attempts to explain the deformation process and failure mechanism. The results revealed that the 242 loess landslides showed obvious season distribution and aspect differentiation. The landslide probability density-area distribution was well in line with the three-parameter inverse-gamma probability distribution. Long-term snowmelt infiltration and repeated soil freezing-thawing affected the slope surface and subsurface hydrothermal and mechanical equilibrium. The combined effect of static liquefaction of sliding surface and sliding liquefaction at slope toe was a hybrid mechanism for slope deformation and failure. On exposed landslide slope thicker snowpack and faster snowmelt contributed to persistent deformation of this landslide. In the future, climate warming would increase snowmelt-driven slope failures in seasonally frozen regions. More careful consideration and discussion regarding the thermal-hydraulic and mechanical processes and early warning of snowmelt-driven landslides should be strengthened.
Effect of gallium nitrate on the antibacterial activity of vancomycin in methicillin-sensitive and resistant Staphylococcus aureus
Authors: Hanifeh Narges Mohammad , Keyvani-Ghamsari Saeedeh , khorsandi khatereh , Khaledi Elahe Mahmoodi 
Published: April 2024

Abstract
The extension of multidrug-resistant strains of Staphylococcus aureus (S.aureus) is one of the main health challenges in the world, which requires serious solutions to deal with it. Combination therapies using conventional antibiotics and new antibacterial compounds that target different bacterial pathways are effective methods against resistant bacterial infections. Gallium is an iron-like metal that competes with iron for uptake into bacteria and has the potential to disrupt iron-dependent vital processes in bacteria. In this study, we explored the antibacterial effects of gallium nitrate (Ga(NO3)3) and vancomycin alone and in combination with each other on methicillin-sensitive S. aureus (MSSA) and methicillin-resistant S. aureus (MRSA) using microdilution assay and checkerboard test, respectively. Then, their effect on the formation and destruction of biofilms was investigated. Finally, the amount of ROS production in the presence of these two compounds in bacteria was evaluated. The results indicated that the vancomycin/ Ga(NO3)3 combination reduced the MIC of vancomycin in the MRSA strain and had an additive effect on it. Vancomycin plus Ga(NO3)3 reduced the formation of biofilms and increased the destruction of biofilms formed in both strains, especially in the MRSA strain. ROS production was also higher in the combination of vancomycin with Ga(NO3)3 compared to vancomycin alone, especially in MRSA. Therefore, our results showed that Ga(NO3)3 enhances the antibacterial activity of vancomycin and this combination therapy can be considered as a new strategy for the treatment of MRSA infections.
Incidence and Risk Factors Affecting Fibrinolytic Alveolitis After Permanent Tooth Extractions
Authors: Bataineh Anwar B. , Alkadi Saleh 
Published: April 2024

Abstract
Objectives
The condition known as fibrinolytic alveolitis is one of the most frequent after the extraction of permanent teeth. The aim of this study is to evaluate the incidence of fibrinolytic alveolitis as well as the correlation between different risk factors and its occurrence.
Material and Methods
Data were collected over a period of 6 months from the Dental Management System for every patient who had permanent teeth extraction at the Oral Surgery Clinic, Faculty of Dentistry/ Jordan University of Science and Technology. Data were age, sex, systemic status of patients, smoking habits, indication of extraction, anatomical location of the extracted teeth was divided into: Upper teeth and lower teeth, number of tooth/teeth extracted, procedure involved in teeth extraction, complications during extraction, compliance to post extraction instructions, fibrinolytic alveolitis present.
Results
During six-month period from October 2022 to March 2023 a total of 480 permanent teeth extractions of 316 patients, of which 204(64.56%) male patients and 112(35.44%) female patients, the ratio of male:female was1.8:1. Out of all 480 extractions the incidence of fibrinolytic alveolitis was 22(4.58%) of all extractions and 6.96% of affected patients.
Conclusions
The overall incidence of fibrinolytic alveolitis was comparable to that of previous research. The findings also suggest that the method and location of extraction are important factors in the development of fibrinolytic alveolitis.
Clinical Relevance:
Even though general dental offices often treat patients with fibrinolytic alveolitis, oral and maxillofacial surgeons play a critical role in treatment and achieving better results. The current theories around the prevention and treatment of fibrinolytic alveolitis, as well as the complexity and numerous natures of the etiology of fibrinolytic alveolitis, should be known to clinicians.
In vitro anthelmintic potential of selected essential oils against gastrointestinal nematodes of sheep
Authors: Štrbac Filip , Krnjajić Slobodan , Simin Nataša , Orčić Dejan , Rinaldi Laura , Musella Vincenzo , Castagna Fabio , Ratajac Radomir , Stojanović Dragica , Bosco Antonio 
Published: April 2024

Abstract

Background
Gastrointestinal nematodes (GINs) represent major obstacle to modern small ruminant farming due to their various negative effects on animal health, welfare and productivity. The exclusive use of commercial, synthetic anthelmintics is no longer a sustainable option due to the development of resistance in GINs and the problem of residues of these drugs in animal products and the environment. The aim of this study was to investigate in vitro the phytotherapeutic properties of seven different plant essential oils (EOs): Citrus x sinensis (L.) Osbeck, Citrus medica (L.), Mentha spicata (L.), Ocimum basilicum (L.), Hyssopus officinalis (L.), Salvia officinalis (L.) and Lavandula angustifolia Mill. against GINs in sheep.
Methods
First, the chemical composition (qualitative and semi-quantitative characterization) of the tested EOs was determined by gas chromatography–mass spectrometry (GC–MS) analysis. Their anthelmintic potential was evaluated in vitro using the egg hatch test, which was performed at eight different concentrations of each oil: 50, 12.5, 3.125, 0.781, 0.195, 0.049, 0.025 and 0.0125 mg/ml. Finally, a coproculture examination was performed to determine the genera of GIN against which the oils were tested.
Results
Some of the most frequently identified compounds in GC-MS analyses were limonene, myrcene, α- and β- pinene, γ-terpinene, sabinene, linalool, eucalyptol, terpinen-4-ol, camphor, etc., with their total number per oil varying from 8 (C. sinensis) to 42 (O. basilicum). The tested EOs showed a dose-dependent (R2 close to 1) ovicidal activity, with O. basilicum (23.3–93.3%, IC50 = 0.08 mg/ml), M. spicata (13.0-92.7%, IC50 = 0.07 mg/ml) and H. officinalis (42.7–91.3%, IC50 = 0.19 mg/ml) being the most effective. The high activity of these oils could be attributed to the high content of the monoterpene alcohol linalool and the terpenoid ketones carvone and pinocamphone. The least effective were S. officinalis (15.0–89.0%, IC50 = 0.53 mg/ml) and C. medica 12.3–95.0% (IC50 = 2.52 mg/ml). Four genera of sheep GINs were identified on coproculture examination, i.e. Haemonchus 43%, Trichostrongylus 35%, Teladorsagia 17% and Chabertia 5%.
Conclusion
The results obtained suggest that EOs tested, especially wild mint, basil and hyssop, could represent a valuable alternative in the control of GINs in sheep, which could help to reduce the use of chemical drugs. Future field trials should be performed to confirm these findings.
DiffREE: Feature-Conditioned Diffusion Model for Radar Echo
Extrapolation
Authors: Qi-liang WU , Xing WANG , Tong ZHANG , Zi-shu MIAO , Wei-liang YE , Hao LI 
Published: April 2024

Abstract
Deep learning techniques for radar echo extrapolation and prediction have become crucial for short-term precipitation forecasts in recent years. As the extrapolation leading time extends, radar echo intensity attenuates increasingly, and the forecast performance on strong echoes declines rapidly. These are two typical characteristics contributing to the current inaccurate results of radar extrapolation. To this end, we propose a novel diffusion radar echo extrapolation (DiffREE) algorithm driven by echo frames in this study. This algorithm deeply integrates the spatio-temporal information of radar echo frames through a conditional encoding module, and then it utilizes a Transformer encoder to automatically extract the spatio-temporal features of echoes. These features serve as inputs to the conditional diffusion model, driving the model to reconstruct the current radar echo frame. Moreover, a validation experiment demonstrates that the proposed method can generate high-precision and high-quality forecast images of radar echoes. To further substantiate the model performance, the DiffREE algorithm is compared with the other four models by using public datasets. In the radar echo extrapolation task, the DiffREE demonstrates a remarkable improvement in the evaluation metrics of critical success index, equitable threat score, Heidke skill score and probability of detection by 21.5%, 27.6%, 25.8%, and 21.8%, respectively, displaying notable superiority.
level of awareness among medical students at Syrian Private University about the etiology of short stature in children
Authors: Mheni Ranim , Orabe Zainab , Hammoud Taghrid 
Published: April 2024

Abstract

Aim
Our research aims to shed light on a very important health problem and to study and evaluate the awareness of medical students at the Syrian Private University about this health problem in all its aspects, in order to develop successful and thoughtful educational plans in order to compete with local and international universities with the quality of education.
Methods and material:
A cross-sectional study during an extended period between 17-10-2023 and 26-12-2023. Samples were collected through an electronic questionnaire among medical students at Syrian Private University. The data was analyzed using the EXCEL program and SPSS statistics V26. Once the questionnaire was answered, the student was... Agree to share.
Results
The sample in our study consisted of 300 students with an average age of (22.34 ± 2.84 years), male/female ratio: 55%/45%, and the percentage of sixth-year students was the most common (31.7% of the total participants). The percentage of general knowledge was 98%, and the most common sources of knowledge were from University lectures (46.6% of all participants), the percentage of knowledge about symptoms and signs was 49.84%, the factors associated with short stature was 50.26%, diagnostic methods were 55.38%, medical tests to diagnose short stature were 20.8%, and treatment methods were 75.1%, and knowledge was most common among students in recent years.
Conclusion
This study showed a lack of knowledge among first-year students. Scientific seminars must be held to raise awareness for first-year students so that they are fully aware of all complications of the disease and the means of diagnosis and treatment.