bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on the Coupled and Coodinated Development of Tourism-Economy-Ecological Environment in the Upper Reaches of Minjiang River
Authors: Luo Xiao Jun , Luo Li , wang lin 
Published: September 2024

Abstract

The article takes five counties, Songpan County, Heishui County, Mao County, Li County and Wenchuan County in the upper Minjiang River region, as the research object, and measures the related tourism-economy-ecological environment system data of the five counties from 2010 to 2022, and quantifies and analyses the comprehensive effect and the degree of coordination of the coupling by applying entropy and coupling coordination model. The spatio-temporal evolution characteristics of the coordinated development of the systems in different counties were analysed to provide theoretical references for the high-quality development of the tourism-economy-ecological environment system in the upper reaches of the Minjiang River. On this basis, Arc GIS software was used to further explore the temporal change characteristics and spatial differences of coordinated development in different counties. The results show that (1) the state of coordinated development of tourism-economy-ecological environment in the five counties in the upper Minjiang River region is at a low level type. All five counties' coupled coordination scores are below 0.3, and all of them are still in the state of serious or moderate dislocation. (2) The development of tourism-economy-ecology-environment coupling degree of coordination of the five counties in the upper reaches of Minjiang River is in a fluctuating upward trend, in which the development of the tourism-economy system maintains a rapid development and the ecological-environmental system is relatively lagging behind. (3) The evolution path of tourism-economy-ecological environment coordination in the five counties upstream of the Minjiang River is a gradual leaping path pattern, which can be divided into three specific cases. These include: maintaining the "severe disorder" path, the "extreme disorder - severe disorder" path, and the "severe disorder - moderate disorder" path. (4) From the results of the internal coupling and coordination analysis, Songpan County and Heishui County belong to the tourism super-advanced type, while Mao County, Li County and Wenchuan County belong to the economic super-advanced type. The scores of the ecological environment system of the five counties are seriously lagging behind the tourism system and economic system, and the ecological environment is facing severe pressure. Finally, the spatial and temporal characteristics of the tourism-economy-ecological environment system in the five counties of the upper Minjiang River are presented, and strategies are proposed to improve the system.
Improving the Efficiency and Reliability of India's Power Grid through Targeted EHV Transmission Line Investments: A Case of UPPCL
Authors: Shrivastava Sharika , Srivast Vijai Kumar , Khalid Saifullah , Khan Irfan Ahmad , Nishad D. K. 
Published: September 2024

Abstract

Indian power system grid efficiency and reliability require techno-economic upgradation of Extra High Voltage (EHV) transmission lines. Uttar Pradesh Power Corporation Limited optimized the insulating design of its 400 kV transmission network, and this article analyses the benefits and problems. By decreasing insulation specifications from 27 disc insulators to 21 and live metal clearance from 2600mm to 2400mm, UPPCL might save 7–9% per line and minimize the right of way. Over five years, the initial test line has operated satisfactorily, proving the technical viability of optimization. However, operational experience with longer lines highlighted practical issues such as insulator quality, bird activity, and design margins. This emphasizes the need for a balanced approach that maximizes cost and instills reliability and safety, especially in poor weather-tripping scenarios. Based on UPPCL experience, the study recommends conservative settings, stringent quality control, and regular insulator cleaning to dissuade bird perching. Joint efforts should target research and validation. The case study of UPPCL shows how India's power system will gain from EHV transmission line optimisation in prices, reliability, and ecology. The report also discusses the large-scale adoption of optimized parameters and their impact on the national power grid.
Evaluation of the risk factors for postoperative pectus excavatum and scoliosis in cystic lung disease
Authors: Tainaka Takahisa 
Published: September 2024

Abstract

Purpose
To analyze the frequency and predictive factors of the development of postoperative pectus excavatum and scoliosis in children who underwent surgery for cystic lung disease.
Methods
This study examined patients who underwent surgery for cystic lung disease (open and thoracoscopic) between July 2000 and December 2018 with a > 3-year follow-up period. Lesion size, surgical outcomes, and subsequent musculoskeletal complications were compared between the open surgery and thoracoscopic surgery groups. Univariate and multivariate analyses were performed to identify predictive factors.
Results
Overall, 90 patients (19 and 71 patients in the open and thoracoscopic groups, respectively) were included in this study. There was no significant difference in the incidence of pectus excavatum or scoliosis between open and thoracoscopic surgery; however, Haller’s index and Cobb angle were significantly higher in the open surgery group. In the univariate analysis, neonatal surgery and lesion size were substantial predictors of musculoskeletal malformations.
Conclusion
Postoperative musculoskeletal deformities emerge after surgical treatment for cystic lung disease, with thoracoscopic surgery showing advantages in selected dimensions. Neonatal surgery and lesion size are pivotal prognostic factors for musculoskeletal complications. Further corroborative multicenter studies are imperative to substantiate these findings and foster enhanced patient outcomes.
Removal of iron and manganese from acidic aqueous solution by pyrite and pyrite-calcium sulfite
Authors: ZHANG XU , WANG YAJING , Nima Gesang , Wang Ziqian , Huang Caifeng 
Published: September 2024

Abstract

Pyrite and calcium sulfite were used to remove iron and manganese from an acidic aqueous solution. The concentration of Fe was decreased to be smaller than 0.05 g/L in 60 min when pyrite and air were added into the acidic aqueous solution, but the concentration of Mn in the solution remained unchanged. After the process of iron removal, calcium sulfite and air were used to remove manganese ions from the solution, and the efficiency of manganese ion removal was larger than 75% in 240 min (with less than 0.05 g/L Fe and 0.5 g/L Mn in the solution). Meanwhile, experiments were conducted to simultaneously remove iron and manganese from artificially simulated acidic leaching solution of laterite nickel ore. When the proposed method was used to purify the leaching solution of laterite nickel ore, Fe3+ and Mn2+ ions were effectively removed from the acidic solution, and the recovery efficiency of nickel and cobalt was greater than 98%.
Investigation of FeNi thin film properties related to Fe:Ni ratio in solution
Authors: Białostocka Anna Maria , Klekotka Marcin , Klekotka Urszula , Kalska-Szostko Beata 
Published: September 2024

Abstract

The iron-nickel coatings were deposited on the two metallic substrates (Cu, CuZn) from a mixture of iron and nickel salts and in a uniform external magnetic field (EMF). The films were electrodeposited using the exact value of an electric current density and the time conditions. The EMF orientation and the electrochemical bath composition (molar ratio of Fe:Ni) were changeable 1:1 or 1:2, respectively. Examined plating presents a variety of surface morphologies and compositions depending on the applied substrates and the presence or absence of the EMF. The films' surface morphology and thickness were analyzed using Scanning Electron Microscopy (SEM). The average composition of all FeNi films was measured using Energy Dispersive X-ray Spectroscopy (EDX). The crystallographic analysis of the deposits was carried out using X-ray diffraction. Tribo-mechanical properties (roughness, microhardness, friction coefficient) were registered using a Confocal Laser Scanning Microscope (CLSM) and SEM. The observed results show a variation in the surface morphology and the alloy composition due to the coupling between the electrolyte composition (Fe:Ni ratio) and the presence or absence of EMF. The tribological parameters (Ssk, Sku, COF) also depend on the electrolyte composition.
The Utility of Cologuard ® for CRC Screening After a Normal Colonoscopy
Authors: Rao Abhinav K. , Kalra Shivam , Leer-Greenberg Brett Van , Rockey Don C. 
Published: September 2024

Abstract

Background
Multitarget stool DNA (MT-sDNA) tests (here, Cologuard®) are currently used in average-risk patients as a primary method of screening for colorectal cancer. However, MT-sDNA testing has also been used in patients who previously underwent colonoscopy who wish to avoid repeat colonoscopy. Here, in a large primary care practice setting, our aim was to evaluate the diagnostic performance of MT-sDNA testing in patients with a previously normal colonoscopy.
Methods
This retrospective cohort study included 5,827 patients from 35 different primary locations in South Carolina. Patients aged 45 and above with a previously documented normal, high quality colonoscopy prior to MT-sDNA test date were included. High-risk patients and those with a previous negative MT-sDNA result were excluded.
Results
Of 5,827 ordered MT-sDNA tests, 248 patients had a prior normal colonoscopy. The average time from initial colonoscopy to MT-sDNA testing was 7.3 years. Of the 63 patients who had a positive MT-sDNA test, 41 patients (65%) completed follow-up colonoscopy and 40 patients had complete colonoscopy data. Of these 40 patients, 12 patients (30%) had advanced adenomas and none had colorectal cancer. Compared to patients without a previous colonoscopy, patients with prior colonoscopies had fewer adenomas of all types (1.6 vs 2.4) and fewer advanced adenomas (1.4 vs 2.0).
Conclusion
Patients with a previously negative colonoscopy and subsequent positive MT-sDNA test were found to have a high rate of advanced adenomas on follow-up colonoscopy (30%). Thus, in patients with a previously negative colonoscopy, MT-sDNA testing may be a potential option for surveillance.
Manufacturing Antibacterial Ti-6Al-4V Alloys by Using NanoAg Particles Synthesized by Reduction Method for Biomedical Applications
Authors: ATAY Gül YILMAZ , USLU Gülşah , Borras Vicente Amigo 
Published: September 2024

Abstract

Titanium alloys are among the widely used biomedical materials due to their biocompatibility and mechanical performance. It is an indisputable fact that the materials used in this area must be antibacterial. Therefore, in this study, the production of antibacterial Titanium alloys using NanoAg particles for use in biomedical applications was investigated. First, Ti-6Al-4V titanium alloys were produced by the powder metallurgy method, which includes blending, pressing and sintering processes. Nano silver particles were synthesized by a chemical reduction method using silver nitrate and glucose. The resulting solution was subjected to Ag + ions and glucose determinations, pH and turbidity analysis. Nano Ag application was carried out by two different methods; dipping and coating method. The obtained samples were analyzed by scanning electron microscopy (SEM) and optical microscopy. Additionally, as the main purpose of this study, antibacterial analysis against Escherichia Coli and Staphylococcus Aureus was performed by percentage reduction test. While the coating method was seen to be more successful in antibacterial tests, the overall Nano Ag application performance was found to be higher against Escherichia Coli bacteria.
Differential associations of physical activity and exercise to physical fitness
Authors: Lo Kai-Yang , Hsu Hsiu-Fan , Yeh Yen-Po , Luh Dih-Ling 
Published: September 2024

Abstract

Physical activity (PA) and exercise behavior are important strategies and assessment indicators for health promotion. However, past studies have measured PA and exercise differently, leading to inconsistent and difficult-to-compare results regarding their association with health. To elucidate the relationship between the Global Physical Activity Questionnaire (GPAQ) and self-reported exercise behavior and their association with health outcomes, this study aims to determine which approach reflects more health benefits. This study used the 2020 Changhua Community-Based Integrated Screening database and included individuals aged 40–64 who participated in both physical fitness tests and GPAQ surveys. A total of 1,631 individuals were included as analysis samples. Exercise behaviors are classified into never, irregular and regular based on the lifestyle records in the screening database. Furthermore, metabolic equivalents were computed using the GPAQ questionnaire, and PA was classified into two groups using a cut-off point of 600. Logistic regression was performed using SAS version 9.4. Our findings revealed that individuals who did not engage in exercise demonstrated lower flexibility, while those who exercised regularly but had low PA-METs showed poor muscular endurance. Additionally, individuals who did not exercise and had low PA-METs exhibited poor cardiorespiratory endurance. Our study revealed diverse connections between PA, exercise, and physical fitness. When promoting PA, it is suggested to exclude work-related PA and prioritize purposeful PA with adequate intensity, duration, and regularity to maximize the benefits for physical fitness.
Coagulation activity of Chitin Binding Protein to the Turbid Pond Water from Garden Candytuft Seeds
Authors: Shehzadi Ulfat , Rehman Afeefa , Khaliq Binish , Shah Anis Ali , Iftikhar Muhammad , Akrem Ahmed , Shahzadi Bismillah , Shaffique Shifa , Gatasheh Mansour K. 
Published: September 2024

Abstract

In advanced nations, reservoir water is frequently utilized for consumption or domestic use, and its turbidity is higher during wet seasons. It requires many artificial coagulants, which increases the cost of therapy. Finding natural alternatives, particularly those derived from plants, has become more relevant because of the negative health and environmental implications of traditional synthetic substances used in water clarification. In this study, a natural coagulant protein called chitin binding protein (CBP) purified from the seeds of Iberis umbellata L. was utilized to treat water and remove turbidity. To increase the effectiveness of turbidity removal, this study focuses on the extraction, isolation, and purification of natural coagulants from the seeds of I. umbellata L. At pH 7, the maximum turbidity reduction effectiveness was attained. The molecular weight of CBP was approximately 14 kDa, as revealed by SDS-PAGE and purified by spin column chromatography. The CBP of I. umbellata showed coagulation activity against synthetic clay solution and pond water. The coagulation results showed that CBP was 87% and Moringra extract showed 89% activity against the synthetic clay solution after 120 min. CBP from I. umbellata showed 83% and Mo extract 82% coagulation activity against the pond water. CBP from I. umbellata may be a viable natural coagulant for water treatment based on its coagulation performance against severely murky pond water.
Transmission line insulator condition detection based on improved lightweight YOLOv8n algorithm
Authors: Li Shenwang , Wang Minjie , Zhou Yuyang , Su Qiuren , Guo Pinghui , Wu Thomas 
Published: September 2024

Abstract

Insulator stability plays an important role in ensuring the stability of transmission lines. With the rapid development of artificial intelligence, deep learning is increasingly used in transmission line detection. At present, many insulator operation state detection models inevitably have problems such as large number of network parameters, slow transmission image speed and large network computation. In order to solve the problem of insulator fault detection difficulty in complex background, this paper proposes a lightweight insulator fault detection algorithm with improved YOLOv8n. In this paper, a new C2f-DWR-DRB module is designed to replace the C2f module in the original backbone network, which achieves the specific task of selecting the appropriate convolutional kernel size to extract feature information. And the SegNeXt Attention Mechanism module is added at the bottom of the backbone network to prevent the network from extracting redundant low-level information during the first stage of information extraction. Auxiliary detection header DetectAux are also added in the middle of the network, which can extract the missed features of different scales and improve the generalization ability of the network. Finally, the computational complexity of the network is also greatly reduced by the knowledge distillation operation, which improves the FPS(Frames Per Second) value. The experimental results show that, compared to the original YOLOv8n network, the improved model proposed in this paper increases the mAP(Mean Average Precision) value from 88.2–91.6%.The number of parameters is only 77% of the original. At the same time, the FPS of the network decreased by only 12.0% compared to the original YOLOv8n network, and the goal of real-time detection can still be achieved.
Association between the incidence of infusion-related reactions by obinutuzumab and the dose of corticosteroid as premedication: A multicenter retrospective cohort study
Authors: Ohtsubo Tatsuya , Yamamoto Kazuhiro , Matumoto Saori , Ito Kaori , Sasa Yuzuka , Tomishima Kosuke , Dote Satoshi , Makihara Katuya , Wakasugi Yoshinori , Mitsuie Tsutomu , Yamagiwa Kouhei , Sato Kazuo , Hasegawa Hiroki , Uoshima Nobuhiko , Kitahiro Yumi , Tomogane Kanji 
Published: September 2024

Abstract

Background
Premedication with corticosteroids is recommended for prophylaxis against infusion-related reactions (IRRs) caused by obinutuzumab despite a lack of solid evidence regarding the dose of corticosteroids.
Methods
We investigated the incidence of IRRs in the high-dose (patients who received 100 mg or higher of prednisolone, 80 mg or higher of methylprednisolone, or 16.5 mg or higher of dexamethasone) and low-dose (patients who received a dose lower than that in those groups or those who take hydrocortisone) corticosteroid groups.
Results
The incidence of IRRs in the high-dose and low-dose corticosteroid groups at the initial administration of obinutuzumab was 27.0% (41/152) and 48.4% (31/64), respectively, indicating that the high-dose group had a lower incidence of IRRs (p = 0.002). The incidence of IRRs at the initial administration of obinutuzumab was significantly associated with the administration of first-generation histamine 1 receptor antagonist (odds ratio = 3.70, 95% confidence interval: 1.47–9.28; reference: second-generation histamine 1 receptor antagonist), hydrocortisone (odds ratio = 6.49, 95% confidence interval: 1.53–27.46; reference: dexamethasone), and methylprednisolone (odds ratio = 1.38, 95% confidence interval:1.10–12.16; reference: dexamethasone), although no association was found with the lower dose of corticosteroids.
Conclusions
Higher doses of corticosteroids as premedication can reduce the incidence of IRRs by obinutuzumab than lower doses. Dexamethasone may be a better choice for IRRs prophylaxis rather than hydrocortisone or methylprednisolone, and second-generation histamine 1 receptor antagonists may be a better choice rather than first-generation drugs.
A Dynamic Intrusion Detection System through Attention Self Supervised Convolutional Neural Networks
Authors: A NAZREEN BANU , SKB.Sangeetha  
Published: September 2024

Abstract

Cyber-attacks are becoming common in linked environments these days, which means that any devices, no matter how big or tiny, are vulnerable to them. In order to proactively anticipate and mitigate network threats, it becomes imperative to design Intrusion Detection Systems (IDS) for these interconnected environments. As such, a number of cutting-edge projects concentrate on developing IDS models by applying Deep Learning (DL) techniques. This change is a result of the shortcomings of traditional models, which primarily provide static IDS systems and underline the need for more sophisticated and dynamic IDS systems. With this goal in mind, we create the Parallel Attention Self Supervised based Convolution Neural Network (PASS-CNN), a brand-new self-supervised dynamic IDS model. Three sequential processes make up the designed self-supervised IDS model: feature extraction and dynamic aggregation, data pre-processing, and dynamic IDS. First, the traffic that is obtained from the network is pre-processed in terms of data normalisation, data smoothing, and data encoding, in that order. After the traffic has been pre-processed, it is made available for feature extraction using the CIC-flow metre tool. To decrease complexity and scalability, the collected features are then dynamically aggregated by creating dynamic aggregation rules using the Multi Agent Deep Reinforcement Learning (MADRL) algorithm. In order to effectively detect intrusions, the characteristics are finally controlled to the suggested PASS-CNN model, which is made up of encoder, decoder, and parallel attention modules. Using benchmark datasets like the UNSW-NB15 and CICIDS-2017 datasets, respectively, the efficacy of the proposed model is compared to several other IDS models in terms of assessment metrics including accuracy, precision, recall, F1-score, and false positive rates. The evaluation's findings demonstrate that the suggested results outperform the current ones.