bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thermal modelling and Parametric optimization for Machining of Aluminum (Al-10%SiCmicro-SiCnano) based hybrid composite using Spark Erosion
Authors: arif umair , khan imtiaz ali , hasan faisal 
Published: July 2023

Abstract
In this study, the authors divided the work into two parts. The first part involved the development and validation of a thermal model for Electric Discharge Machining (EDM) using Ansys software. This model took into consideration various factors such as Gaussian heat flux, spark radius, fraction of heat transferred as a equation of pulse on time and pulse current, latent heat in specific heat values and temperature dependent thermal conductivity properties. Three different values of fraction of heat transferred to workpiece (Fc) were used in simulation to determine which one is better at correctly predicting MRR and SR. The second part involved the parametric study of the experimental results using ANOVA, main effect plot and grey relational analysis.
The workpiece in this study was Al-based hybrid composites, which were manufactured using stir casting. Three composite materials, Al-10%SiCmicro-3%SiCnano, Al-10%SiCmicro-4.5%SiCnano, Al-10%SiCmicro-6%SiCnano were considered. The EDM process was accomplished using a L9 orthogonal array, and the performance parameters were measured in terms of MRR, TWR, SR, Dilation in hole diameter, and Hole taper.
The results showed that the Fc value calculated using the Shabdard's function [1] provided the best prediction of MRR and SR, with a MRR ratio range of 1.20-8.00, followed by Fc taken from Dibitonto [2] (MRR ratio range -0.28-12.95) than Fc calculated from Ming et al. [3] (MRR ratio range 0-18.56). The results showed that the dilation in hole diameter and Hole taper increased with an increase in the percentage of SiC nano-particles, while TWR increased with an increase in the pulse current and Hole taper decreased with increase in pulse on time. The best EDM machining results were obtained at 6A pulse current, 20 pulse on time, and 6% SiC nano-particles in the hybrid composite. A validation experiment was also performed, and it was found that the MRR, dilation in hole diameter, and Hole taper improved at 6% SiC nano-particles, 6A pulse current, and 30 pulses on time.
On the norm bounded sets of the ideal $E^{a}$
Authors: Moktafi Houda , Khabaoui Hassan , Fahri Kamal El 
Published: July 2023

Abstract
The paper is devoted to study the norm bounded subsets which are contained in Ea. Also, we introduce and study the class of the bounded-Ea operators, whichmaps the closed unit bull of a Banach space to a subset of $E^{a}$. Some interesting results about this class of operators are presented.
2010 Mathematics Subject Classification. 46B42, 47B60, 47B65
ACP-YOLO: Asymmetric Center Point Bounding Box Regression Strategy and Angle Loss-based YOLO for Object Detection
Authors: Wang Xiuling , Kong Lingkun , Zhang Zhiguo , Wang Haixia , Lu Xiao 
Published: July 2023

Abstract
The YOLOv4 approach has gained significant popularity in industrial object detection due to its impressive real-time processing speed and relatively favorable accuracy. However, it has been observed that YOLOv4 faces challenges in accurately detecting small objects. Its bounding box regression strategy is rigid and fails to effectively leverage the asymmetric characteristics of objects, limiting its ability to enhance object detection accuracy. This paper proposes an enhanced version of YOLOv4 called ACP-YOLO (asymmetric center point bounding box regression-based YOLOv4). The ACP-YOLO approach introduces two customized modules: an asymmetric center point bounding box regression strategy and an angle-loss function. These modules contribute to improving the algorithm's detection accuracy by enabling more precise localization of objects. Additionally, ACP-YOLO adopts an improved feature fusion technique, which facilitates enhanced information flow within the network, thereby further enhancing accuracy performance. Experimental evaluations conducted on the COCO2017 dataset demonstrate the effectiveness of the proposed method. ACP-YOLO achieves an average precision of 45.6\%, surpassing both YOLOv4 and certain previously developed one-stage detectors. The utilization of an asymmetric center point bounding box regression strategy and the incorporation of robust feature fusion contribute to superior object detection accuracy in ACP-YOLO compared to YOLOv4.
Pain Behaviour of critically ill Patients on Mechanical Ventilation During Nursing Interventions at Governmental Hospital– Sana'a-Yemen
Authors: Haza’a Abdulnasser A. , Odhah Marzoq A. , Al-Ahdal Saddam A. , Al-Awar Muhammad S. , Al-Jaradi Abdulfatah S. , AlNathari Laila M. , Aljaboobi Lama M. 
Published: July 2023

Abstract
Background: Patients who are mechanically ventilated frequently feel pain. Mechanically ventilated patients' pain is made worse by factors like illness level, invasive treatments, and surgical interventions.
The aim of study: to examine the pain behaviour of patients on mechanical ventilation during nursing interventions.
Methods: From November 2022 to February 2023 data collection done, 150 mechanically ventilated patients at a government hospital were included in the sample using a cross-sectional descriptive design. Both before and during nursing interventions, pain evaluations were conducted by "Ramsay Sedation Scale" and "Behavioural Pain Scale". The difference between pain level and hemodynamic parameters before and during the procedure was assessed using the Wilcoxon-signed rank test. It was agreed that a p-value of 0.05 was statistically significant.
Results: The majority of patients (62% of them were male and aged between 53 and 69 years) had a history of illness. The interventions that resulted in a difference in pain scores were bed bathing, tracheal suction, oropharyngeal suction, nasogastric intubation, oral care, repositioning, perineum care, and IV catheterization; however, there was no significant increase in SBP scores during eye care or nasotracheal suction, while there was a significant rise in all physiological parameters during these procedures.
Conclusion: Patients on mechanical ventilation feel pain before and during nursing intervention. In fact, harmless and comforting operations injure. Nurses must take care-related suffering linked with their interventions into consideration while caring for critically sick nonverbal patients. It might be deceptive to use changes in vital signs as the main indicator of pain.
Different methods of longwall full mining partial filling and optimal design of filling process
Authors: Lu Yao , Wang Changxiang , Lu Wei , Guo Zhi , Qi Guansheng 
Published: July 2023

Abstract
Different methods of longwall full mining partial filling have been extensively studied to meet the special mining requirements of pressure coal resources and residual coal resources. The research aims to reduce production costs, ensure safe and efficient production of filling mining. Three longwall partial filling mining technologies are proposed: room-pillar filling mining, parallel strip filling mining, and vertical strip filling mining. Numerical simulation and the Analytic Hierarchy Process (AHP) model are utilized to analyze the effects of these methods. The results demonstrate that vertical strip filling mining exhibits the smallest surface deformation and the most regular displacement distribution. Additionally, an AHP model is employed to determine the index weights for safety, economic factors, stress, displacement, and filling cost. A hierarchical structure is established with safety and economic mining as the target layer, and stress, displacement, and economic factors as the criterion layer. The vertical strip filling mining method was calculated as the comprehensive optimal scheme. In practical operations, the filling technology and filling material performance play crucial roles in determining the filling effect. The study includes the optimization analysis of the filling technology, focusing on the composition of the coal gangue paste filling system and the optimization of the system components. Additionally, the study investigates the optimization analysis of filling materials, particularly the performance optimization methods. Experimental results demonstrate that optimizing the filling materials can improve the performance of the filling paste, enhancing both early-stage and long-term compressive strength. This research can provide valuable insights into the optimal design of longwall partial filling mining methods.
Large deviation principle for pseudo-monotone evolutionary equation
Authors: R KAVIN 
Published: July 2023

Abstract
In this article, we explore Freidlin-Wentzell's large deviation principle for a stochastic partial differential equation with the nonlinear diffusion-convection operator in divergence form satisfying p-type growth, involving coercivity assumptions, perturbed by small multiplicative Brownian noise. We use the weak convergence method, to prove the Laplace principle, which is equivalent to the large deviation principle in our framework.
2020 Mathematics Subject Classification. 60H15, 35R60, 60F1
Quality of life and patient satisfaction after single port endoscopic thoracic sympathectomy for primary focal hyperhidrosis: A follow-up of 250 patients
Authors: Majeed Zryan Salar , Baram Aram , Isac Ashur Y. 
Published: July 2023

Abstract

Background
If left untreated, severe types of Primary Focal Hyperhidrosis (PFH) would negatively affect patients' quality of life (QoL). The aim of this study is to determine the efficacy of Endoscopic thoracic sympathectomy (ETS) and the degree of improvement in quality of life and satisfaction after surgery. The intraoperative and postoperative complications were evaluated, especially compensatory hyperhidrosis (CH). We hypothesized that the selected sympathectomy level will neither prevent nor reduce CH.
Methods
a single-center retrospective study of 250 adult patients diagnosed with bilateral PFH underwent ETS of the 2nd ,3rd, and 4th thoracic sympathetic ganglion. We compared pre-and-post operative HDSS and QoL using Pearson correlation. The rate of CH and other complications during follow-up of 4 years were recorded.
Results
Among 250 patients 217 had a preoperative hyperhidrosis severity score (HDSS) of 3 and 33 patients had a score of 4 compared to postoperative HDSS was zero in 145 patients (58%), 1 in 82 patients (32.8%), 2 in 22 patients (8.8%), and score 3 in one patient (0.4%) P value (0.097). QoL before operation in 201 patients was very bad (80.4%) while postoperatively QoL was much better in 206 patients (82.4%) P value (0.0001). CH was seen only in 27 patients (10.8%), and only one was severe.
Conclusion
ETS is safe and effective for severe cases of PFH. Sympathectomy at 2nd ,3rd, and 4th ganglion levels has an excellent outcome and patient satisfaction with minimal perioperative complications including compensatory hyperhidrosis.
Robotic-assisted intracorporeal versus extracorporeal techniques in sigmoidectomy: a propensity score- matched analysis
Authors: Yao Qing , Sun Qian-Nan , Zhou Jia-Jie , Ma Yue , Ren Jun , Wang Liu-Hua , Wang Dao-Rong 
Published: July 2023

Abstract
Background
Scarce research has been performed to assess the safety and efficacy of anastomosis technique on robotic-assisted sigmoidectomy. This study was designed to evaluate the difference between intracorporeal and extracorporeal techniques during robotic-assisted sigmoidectomy.
Methods
Clinical data of 193 cases who received robotic-assisted sigmoidectomy were retrospectively collected and analyzed. Only 116 cases were available for analysis (intracorporeal group = 58, extracorporeal group = 58) after propensity score matching. Independent sample t-test was conducted to evaluate the continuous variables. Moreover, the statistical significance of categorical variables was tested using Chi-square or Fisher exact tests.
Results
Statistical analysis showed that the intracorporeal group demonstrated greater superiorities in pain scale on the first and second postoperative day (P < 0.05), time of catheter indwelling (P = 0.009) and length of hospital stay (P = 0.019). Additionally, the intracorporeal technique contributed to fewer complications including urinary retention (P = 0.027) and hernia (P = 0.037) than the extracorporeal group.
Conclusions
Our analysis revealed that intracorporeal technique was safe and feasible due to the shorter time of catheter indwelling and length of hospital stay and fewer post-operation complications.
A Systematic Survey of Fuzzy Deep Learning for Uncertain Medical Data
Authors: Zheng Yuanhang , Xu Zeshui , Wu Tong , zhang yi 
Published: July 2023

Abstract

Intelligent medical industry is in a rapid stage of development around the world, followed by are the expanding market size and basic theories of intelligent medical diagnosis and decision-making. Deep learning models have achieved good practical results in medical domain. However, traditional deep learning is almost calculated and developed by crisp values, while imprecise, uncertain, and vague medical data is common in the process of diagnosis and treatment. Medical data is usually uncertain because of the presence of noise, artifact or high dimensional unstructured information in the data. Fortunately, fuzzy deep learning that originated from fuzzy sets, can effectively deal with uncertain and inaccurate information, providing new viewpoints for alleviating the problems above. Therefore, it is important and necessary to review the contributions of fuzzy deep learning for uncertain medical data in recent years. This paper first constructs four types of frameworks of fuzzy deep learning methods used for uncertain medical data, and investigates the status from three aspects: fuzzy deep learning methods, type of uncertain medical data and execution effects. Then the performance evaluation metrics of fuzzy deep learning models are analyzed in details. We have found that although fuzzy deep learning indeed develops the interpretability, low-quality images, boundary point processing, imprecise text records processing and multi-source heterogenous data fusion in medical domain, challenges still exist and future research directions are provided from the perspective of genetic data processing, intelligent medical decision-making based on complex cognition information, health management of Traditional Chinese Medical and few-shot learning.
Decentralized Storage Cryptocurrencies: An Innovative Network-Based Model for Identifying Effective Entities and Forecasting Future Price Trends
Authors: Davoudi Mansour , Ghavipour Mina , Sargolzaei-Javan Morteza , Dinparast Saber 
Published: July 2023

Abstract

This study focuses on analyzing four of the most significant cryptocurrencies in the field of decentralized storage, including Filecoin, Arweave, Storj, and Siacoin. Our method consists of three main components: Network Analysis, Textual Analysis, and Market Analysis. Network Analysis involves identifying relevant entities associated with the target cryptocurrencies to construct a network of entities. During this component, the embeddings of each entity are then extracted using node2vec which are fed into a convolutional neural network. In the second component, Textual Analysis, we first employ the T5 summarization model to encapsulate the content of related news articles. Subsequently, by utilizing the FinBert model the sentiment of news articles and tweets associated with the identified entities are extracted. We then use transformer encoders to process the resulting feature vectors. Ultimately, similar to the Textual component, by leveraging the transformer encoders the financial market information of target cryptocurrencies is evaluated during the Market Analysis component. As the final step, the outputs of these components are combined to predict the price trend of the target cryptocurrencies within a specified time frame. The proposed model’s accuracy in forecasting the future price trend of Filecoin, Storj, Arweave, and Siacoin is 76%, 83%, 61%, and 74% respectively.
Recto-sigmoid junction pressure variations in patients with symptomatic obstructed defecation syndrome and the approach to management
Authors: Shafik Ali Ahmed , el-barmelgi Mohamed Yehia , Mohamed Osama refaei , Mohamed Mohamed tamer , Bassiouny Haitham azmy , badie Fady Fathy , shafik Ali Ismail Ahmed 
Published: July 2023

Abstract
Purpose
Are clinical and manometric results sufficient to plan management in patients with obstructed defecation syndrome (ODS)? This paper assesses the variations in rectosigmoid junction (RSJ) pressure together with the anal and rectal pressures in ODS in relation to clinical symptoms. Management plans are then suggested for specific cases based on the manometric and clinical results and the success of such plans are measured and may be an economical and convenient alternative to more advanced techniques.
Methods
A case-control study including 60 patients, 30 cases & 30 control, clinically shown to have ODS, who underwent assessment of the RSJ pressure using anorectal manometry. The results and variations are recorded, and management suggested based upon the manometric results.
Results
High RSJ pressure in 30 cases revealed a statistically significant positive correlation with the severity of symptoms, according to Cleveland clinic constipation score, when compared to controls. However, long term follow-up of management, based on the manometric & clinical results, showed a high degree of recurrence.
Conclusion
High pressure in the RSJ is directly correlated to the severity ODS, eliminating this high-pressure zone via sigmoidectomy can lead to improvement of symptoms in the short-term, however, management should not be planned solely on manometry and clinical symptomatology as recurrence rates are high in the long-term. Rather, manometry should be supplementary to planing surgical management with other more advanced techniques, such as MRI defectography.
The Effect of Using Context-Based Learning Videos on Global Warming Materials on Students' Problem-Solving Skills
Authors: Tamrin Husni , Desnita Desnita 
Published: July 2023

This study purpose was seen what there were effect of using context-based learning videos on global warming material on the problem solving students abilities of class XI at MAN 2 Pesisir Selatan. This research is a quasi-experimental research, posttest-only control design. The study population was all class XI IPA MAN 2 Pesisir Selatan who are registered in 2021/2022 school year. Sampling was conducted using cluster random sampling technique, selected class XI IPA 1 and XI IPA 3 as sampling. The data of this research is score of students' ability of problem solving. The research instrument was a written test in consist of 7 essay questions. Data analysis was carried out using the Normality Test, Homogeneity Test and U-test. The normality test, it was found that the experimental class was normally distributed while the control class was not normally distributed. The homogeneity test of the two sample classes shows that the two sample classes do not have a homogeneous variance. The results showed that the average problem-solving ability of the group for experimental was greater than the group for control. Using the U test (Man Withney) with a level of significance was 5%, the score of ZcountZtable is obtained. The results of the various problem solving abilities of each student could be identified. The average score of problem solving abilities in the experimental class was 90.48 while for the experimental class it was 76.06. This shows that the students' problem-solving abilities for the experimental class are higher than those for the control class. It can be concluded that there is an effect of using context-based learning videos on global warming material on the abilitiy of problem-solving in class XI students of MAN 2 Pesisir Selatan.
Effect of Molarity on Double Layer Photocatalytic Activity ZnO/ZnO:Ag for Metanil Yellow Degradation
Authors: Anggita Sheilla Rully , Kusuma Hamdan Hadi , Sumarti Heni , Teke Sosiawati 
Published: July 2023

Double layer (DL) ZnO/ZnO:Ag has been synthesized with variations in molarity of 0.1, 0.3, 0.5, and 0.7 M and its application as a degrading agent for methanil yellow dye. This study aims to determine the effect of the molarity of the DL ZnO/ZnO:Ag on crystallinity and photocatalytic activity for methanil yellow degradation. DL ZnO/ZnO:Ag was synthesized using sol-gel technique and deposited with spray coating technique. The results of DL ZnO/ZnO:Ag were characterized by XRD to determine the crystallinity and particle size. The photocatalytic activity was carried out by immersing the DL ZnO/ZnO:Ag layer in 10 ppm methanil yellow solution and irradiating it with UV light for 4 hours and then tested using UV-Vis spectroscopy to get the percentage of methanil yellow degradation. The results showed that the crystallinity of the DL ZnO/ZnO:Ag for all molarity variations had a hexagonal wurtzite structure. Grains size increase as molarity increases from 0.1 to 0.5 M. However, if the concentration continues to be increased to 0.7M, the grain size decreases. Photocatalytic activity is increasing every hour, as indicated by the increasing percentage of degradation. Precursor in 0.5 M has the maximum percentage of degradation is 25.32%.
Impacts of urban land use and land cover change on wetland dynamics in Jimma city, southwestern Ethiopia
Authors: Berkessa Yifru Waktole , Bulto Tadesse Weyuma , Moisa Mitiku Badasa , Gurmessa Mengistu Muleta , Werku Birhanu Chalchisa , Juta Getachew Yigezu , Negash Daniel Assefa , Gemeda Dessalegn Obsi 
Published: July 2023

Abstract

Wetland has been substantially decreased by anthropogenic activities worldwide, requiring urgent conservation action. The present study aimed to analyze the effects of land use land cover change on wetland dynamics from 1992 to 2022 in Jimma City, Southwestern Ethiopia. Landsat TM of 1992, ETM+ of 2000, ETM+ of 2009 and OLI/TIRS of 2022 were used in this study. Landsat images were classified by using supervised classification with maximum likelihood algorithm. The results revealed that grassland, wetland and vegetation land cover classes declined by 2,304.9 ha, 1410.2 ha and 820.5 ha, respectively whereas farm land, settlement and bare land increased by 2,199 ha, 2,111 ha and 225.4 ha, respectively. Results show that the normalized difference water index (NDWI) has positive and negative strong relationship with normailized difference vegetation index (NDVI) and normalized difference built up index (NDBI) with the coefficent determination (R2) of 0.96 and 0.98, respectively. Due to rapid urbanization and declining vegetation cover in the study area, about 98% of wetland land cover in the study area has been lost over the past decades. Therefore, the governmental and non-governmental organizations should give special attention to wetland restoration and management in the study area.