bluuebunny/crossref_metadata_2025 huggingface dataset:
Changing the surface of the 07C11-KV mixed fabric modified by carbon and zirconium clusters, during climate tests
Authors: Anisovich A. G. , Markevich M. I. , Akula I. P. , Chekan N. M. , Shcherbakova E. N. , Kevra E. V.
Published: August 2023

The technology of modification of textile mixed materials using carbon and zirconium targets has been developed. A change in the structure of a composite material based on a 07C11‑KV mixed fabric (produced by Mogotex OJSC) modified with carbon and zirconium clusters after exposure at low temperatures (up to ‑40 °C) in a climatic chamber was investigated. It is shown that at temperatures ‑20 – ‑30 °C, the material is de‑fibrous. At ‑40 °C, there is no de‑fibering, fiber straightening is observed. The continuity of the coating is maintained for all test variants.
X-ray Diffraction Method in the Study of a Metal Surface Stress State Under Static and Impact Deformation
Authors: Kren A. P. , Delendik M. N. , Matsulevich O. V. , Gusev O. K. , Pantsialeyeu K. U. , Vorobey R. I.
Published: August 2023

Study of the stress field in a plastic imprint and around it is of great practical importance. Processes similar to indentation are used in shot blasting to harden the surface of materials and generate compressive stresses in the surface layers. The purpose of this work was to study the change in the stress-strain state in the area of the plastic imprint with increasing load, in the transition from small to large deformations, as well as to study the change in stress at different strain rates.

X-ray diffraction method was used to study the field of residual stresses generated on the surface of a plastically deformed region – in the zone of an imprint formed when a spherical indenter is pressed into the metal. An analysis of the change in the stress distribution with increasing load in the range of plastic imprint depths of 10–60 µm for steels and aluminum was made. Influence of the loading rate on the change in the values of residual stresses under normal contact of colliding bodies was studied. It is shown that the stress distribution has a complex character with areas of compression and tension of the metal and is determined by the ratio of the indentation depth to its diameter.

The obtained experimental data make it possible to determine the choice of optimal modes of shot blasting, including for increasing the endurance limit of products.
Surface Electric Potential Measurement with a Static Probe
Authors: Vorobey R. I. , Gusev O. K. , Zharin A. I. , Mikitsevich V. A. , Pantsialeyeu K. U. , Samarina A. V. , Svistun A. I. , Tyavlovsky A. K. , Tyavlovsky K. L.
Published: August 2023

Surface electric potential measurements are widely used in non-destructive inspection and testing of precision surfaces, for example, in the production of semiconductor devices and integrated circuits. Features of the construction and application of devices for measuring the surface electric potential using an immovable reference electrode are considered. Despite the need to increase the area of the probe compared to devices with a vibrating probe, measurement techniques with an immovable probe have a number of advantages and could expand the scope of surface electric potential measurements in the inspection of samples with precise surfaces. Models of the formation of a measuring signal in the presence of a spatial inhomogeneity of surface electric potential are presented and discussed.
Coolant Hydrodynamics in the PWR Reactor Core with TVS-Kvadrat of Various Designs
Authors: Dmitriev A. N. , Burov A. L. , Demkina T. D. , Dobrov A. A. , Doronkov D. V. , Doronkova D. S. , Kuritsin D. D. , Pronin A. N. , Ryazanov A. V. , Solntsev D. N.
Published: August 2023

. The paper presents the results of experimental studies of the hydrodynamics of the coolant in the core of the PWR reactor with fuel assemblies “TVS-Kvadrat” of various designs. Experimental studies of hydrodynamics consisted in studying the velocity fields and the process of cross-flow of coolant between adjacent fuel assemblies “TVS-Kvadrat” of various designs in homogeneous and mixed cores on large-scale experimental models, including fragments of two adjacent fuel assemblies “TVS-Kvadrat” and a gap between them. The test models differ in the number of installed grids, this is due to the fact that in a homogeneous core the hydraulic load along the height of the fuel assemblies is identical, and in a mixed core the hydraulic load is uneven due to the different number of installed grids. The hydrodynamics of the coolant has been studied on an aerodynamic open-loop based on the theory of hydrodynamic similarity, using individually calibrated pneumometric sensors. Based on the data obtained, the fields of local axial and transverse velocities in various sections along the length of the studied section of the test models have been constructed. The fields of local dimensionless transverse and axial flow velocities in the fuel bundles and the gap between the fuel assemblies “TVS-Kvadrat” of the PWR reactor core have been studied. Peculiarities of the process of transverse flow between adjacent “TVS-Kvadrat” of a homogeneous and the mixed core of the PWR reactor have been revealed. The results of experimental studies have been transferred to the developer of “TVS-Kvadrat”, that is  JSC “Experimental Design Bureau of Mechanical Engineering named after I. I. Afrikantov”,  for further use in justifying the design and operating modes of a nuclear power plant.
Factors for the Development of Corporate Management in China
Authors: Solodovnikov S. Yu. , Meleshko Yu. V. , Xu Jing
Published: August 2023

Рurpose of the work is to develop the theory of corporate management of Chinese transnational corporations (TNC) by identifying and substantive characteristics of the factors influencing these relations. The methodological main of research are systemic and comparative analysis, the method of conceptualization of scientific ideas, the method of qualitative and quantitative assessment, the subjective approach. The following are identified as the main factors determining the directions, tools and forms of development of corporate management in China: strengthening economic interdependence within macroregions, including through transnational corporations, with the growth of economic and geopolitical confrontation between macro-regions; high rates of economic growth of the country, requiring the expansion of transnational forms of doing business in order to stimulate exports and provide access to the necessary import resources; expansion of the private sector while maintaining state control over assets in key industries and the development of the national stock market; the ongoing credit and financial policy of the state, which provides Chinese TNCs with privileged access to financial resources; reconfiguration of the global technological space in favor of China, which contributes to the development of Chinese TNCs in the ICT (information and communication technologies) sector and the improvement of corporate management on a new technological basis; the leading role of the Communist Party in the political life of the country, which allows Chinese TNCs to use political capital to increase competitiveness; national cultural and worldview features that contribute to the formation of a specific culture of corporate management (guangxi), characterized by a high level of social capital and a focus primarily on collective interests. The novelty of the results obtained lies in the disclosure of a variety of factors and the mechanism of their influence on the corporate management of Chinese TNCs, a high degree of interdependence of internal and external factors, as well as in the study of economic, political and cultural factors not in isolation, but in the unity of their influence on the object of study, which allows significantly improve the quality of economic analysis of the development of corporate management in China.
S-9-PAHSA regulates glycolipid metabolism by enhancing autophagy and upregulating PI3K/AKT pathway
Authors: Wang Xin-ru , Yu Zhong-yu , Lin Jin-hong , Wang Jian-tao , Liu Ying-chao , Zhang Xiao-ming , Wen Xiao-hong , Zhang Qian , Xu Xiao-die , He Cheng-feng , Xue Wen-jiao , Ren Jiao-qi , Wang Jin-xiu , Wang Yin , Xiao Ji-chang , Guo Jing-chun , Zhou Hou-guang
Published: August 2023

The disorders of glucolipid metabolism are prevalent in patients with type 2 diabetes
mellitus (T2DM). Since the effects of Palmitic-Acid-Hydroxy-Stearic Acid (PAHSA)
on T2DM were not fully understood, the study aimed to investigate the role of S-9-
PAHSA in diabetes and the possible mechanisms. Male C57BL6 mice were fed with a
high-fat diet (HFD) and injected with streptozotocin (STZ) to establish the diabetic
mice model, and then administered with low- or high-dose S-9-PAHSA. Insulin,
glycosylated serum protein (GSP), glucagon-like peptide-1 (GLP-1), and oxidized lowdensity
lipoprotein (ox-LDL) were assessed by ELISA. SH-SY 5Y cells were incubated
in a diabetic environment and treated with S-9-PAHSA, R-9-PAHSA, or 9-PAHSA.
Cell viability, cell proliferation, apoptosis, lactate dehydrogenase (LDH), and reactive
oxygen species (ROS) were measured by corresponding kits. Protein expressions were
determined by western blot. The results showed high-does S-9-PAHSA improved
insulin resistance and lowered ox-LDL. Compared with the control group, the
significantly up-regulated expression of p62 and down-regulated expression of beclin
1 were found in diabetic mice and could be reversed by S-9-PAHSA. In vitro, S-9-
PAHSA increased cell viability and proliferation while reducing LDH and ROS. S-9-
PAHSA could reduce the expression of cleaved caspase-3 and TUNEL-positive cells,
and increase the ratio of LC3II/I after high glucose and fatty acid stimulation in vitro.
Downward trends were observed in PI3K and the phosphorylation of AKT in diabetic
environments, which could be slightly restored by S-9-PAHSA. In conclusion, S-9-
PAHSA could regulate glycolipid metabolism both in vivo and in vitro, indicating the
vital role of S-9-PAHSA in T2DM.
The Practicability of General Internal Medicine Quality Indicators in Hospital Inpatient Care
Authors: von Ahlen Christine , Moser Dominik , Schneider Dominik , Geissler Alexander
Published: August 2023

BACKGROUND: In the summer of 2021, the Swiss Society for General Internal Medicine (SGAIM) published six quality indicators for the inpatient sector for the first time. The aim of these indicators is to facilitate a structured quality improvement process in internal medicine. The present implementation study examines the practicability of the quality indicators recommended by the SGAIM.
METHODS: Using the QUALIFY assessment tool for quality indicators, the SGAIM indicators are structurally evaluated using the example of Hospital Männedorf. Within this framework, a retrospective data analysis of the years 2020 and 2021 was carried out.
RESULTS: The results were calculated according to the recommended evaluation intervals and were as such: A provisional discharge report within 24 hours was sent to the follow-up institution for an average of 23.7% of discharges. A new prescription of benzodiazepines in patients with an age of ≥65 years occurred in an average of 17.2% of patients per month. The fall history was collected from 100% of the patients. The monthly proportion of patients with transfusions with an Hb value of >8g/dl was 17.9% on average. The proportion of CIRS cases per patient averaged 1.3%. Hepatitis B vaccination protection was available to 100%.
CONCLUSIONS: The quality indicators recommended by the SGAIM for the transmission of provisional discharge reports, new prescriptions for benzodiazepines and transfusions with Hb values >8 g/dl proved helpful. Development potential was shown for the following quality indicators: CIRS case processing, biography of falls in the last 12 months and hepatitis B vaccination protection.
Intelligent football teaching based on virtual simulation and robust similarity measurement algorithm
Authors: Zhao Yan , Zhang Qingqing
Published: August 2023

The computer virtual simulation teaching system is an integrated computer teaching system that uses network technology and virtual reality technology to simulate real-world experiments. The system is a computer laboratory used for teaching. Through the virtual simulation teaching system, the advantages of network teaching can be combined, and it has the characteristics of fast construction speed, low teaching cost, and overcoming various limitations and challenges. The current robust similarity measurement algorithm is based on a similarity measurement, which corresponds to tracking the appearance and alignment of the twin network search graphs. The sample target expression is constructed based on the data in the first structure, and then the target sample and test pattern are calculated through the active analogy of the measurement algorithm. Choose the most suitable location for the target result to set the test result. The use of integrated teaching technology in football sports technology is significantly better than traditional teaching methods. Comprehensive teaching can not only show detailed technical activities, but also expand students' learning space and time, which is essential for improving the level of professional football. According to the online application system for intelligent teaching, all system operations are performed in collaboration with the user's browser and application server, and the database system organizes and protects data related to the system. According to the network connection, the service will be used for intelligent teaching.
Outcomes of carbon ion radiotherapy compared with segmentectomy for ground glass opacity-dominant early- stage lung cancer: a retrospective study
Authors: Mizobuchi Teruaki , Nomoto Akihiro , Wada Hironobu , Yamamoto Naoyoshi , Nakajima Mio , Fujisawa Takehiko , Suzuki Hidemi , Yoshino Ichiro
Published: August 2023

Purpose
This study aimed to compare the outcomes of patients with ground-grass opacity (GGO)-dominant non-small cell lung cancer (NSCLC) who were treated with carbon ion radiotherapy (CIRT) versus segmentectomy.
Materials and methods
A retrospective review of medical records was conducted. The study included 123 cases of clinical stage 0/IA peripheral NSCLC treated with single-fraction CIRT from 2003 to 2012, 14 of which were determined to be GGO-dominant and were assigned to CIRT group. As a control, 48 consecutive patients who underwent segmentectomy for peripheral GGO-dominant clinical stage IA NSCLC were assigned to segmentectomy group.
Results
The patients in CIRT group, compared with segmentectomy group, were significantly older (75 ± 7.2 vs. 65 ± 8.2 years, P = 0.000660), more likely to be male (13/14 vs. 22/48, P = 0.00179), and had a lower forced vital capacity (91 ± 19% vs. 110 ± 13%, P = 0.0173). There was a significant difference in the 5-year overall survival rate (86% vs. 96%, P = 0.000860), but not in the 5-year disease-specific survival rate (93% vs. 98%, P = 0.368).
Discussion
Compared with segmentectomy, CIRT may be an alternative option for patients with early GGO-dominant NSCLC who are poor candidates for, or who refuse, surgery. (200 words)
New Efficient Interpolation Techniques for Medical Images
Authors: Sultan Eman A. , El-Khamy Said E. , El-Rabie Sayed , El-Fishawy Nawal A. , El-Samie Fathi E. Abd , eldin salwa mohamed serag
Published: August 2023

This paper presents new efficient six image interpolation techniques that aim to obtain high resolution images from low resolution ones. The problem of dealing with image interpolation as an inverse problem was treated in wavelet domain through the first proposed approach. This approach estimates wavelet coefficients in high frequency sub-images using least squares algorithm. The approach reveals performance improvement in PSNR and MSE values compared to bilinear and least squares algorithm. A second approach based on using artificial neural network for modeling the maximum entropy interpolation algorithm was presented. Training the suggested network is achieved by adjusting its weights using learning algorithm to minimize the sum of squared error between target and actual output of output neurons. The proposed approach requires fewer computations than the conventional high-quality image interpolation methods with little reduction in PSNR compared to the maximum entropy algorithm. A third algorithm which combines new contourlet transform and edge-based interpolation algorithm was proposed to improve object boundaries regularity which could be achieved by treating each successive approximation of the high-resolution image as a noisy approximation, hence enforcing the contourlet coefficients to have a sparsity constraint. The proposed algorithm gives an improvement of 2 dB in PSNR compared to IIGR algorithm and achieves the best MSE and correlation coefficient. The fourth approach presents an efficient method to get HR images from the fusion of Magnetic resonance and computed tomography images by adopting least-squares strategy to iteratively obtain wavelet sub-bands of the target HR image. The proposed approach was found to achieve good results especially when the curvelet transform is used to merge the CT and MR images. The fifth approach presents neural modeling of the maximum entropy image interpolation algorithm based on both curvelet and wavelet fusion. Through this approach the fusion process is performed while edges with a curved nature are preserved. Results showed that applying curvelet transform in the fusion of CT and MR images is better than DWT fusion and that interpolating the fused image by neural modeling of maximum entropy image interpolation algorithm is superior to interpolating the original MR and CT images. The sixth approach presents a new image scale-up, super-resolution, approach based on image fusion principle. MR and CT images were scaled-up using sparse-representation modeling with dictionary learning algorithms of Yang et. al. and Michael et. al.. The images were fused by discrete wavelet and curvelet transforms, then scaled-up by the same algorithms. Simulation results showed that scaling-up the fused MR and CT images, either by wavelet or curvelet fusion techniques, gives higher PSNR values than scaling-up the MR and CT image separately.
Dental plaque removal efficiency of microcurrent-emitting toothbrushes in orthodontic patients: a randomized, double-blind, crossover clinical trial
Authors: Kim Ji-Hoi , Yu Jae-Hun , Mangal Utkarsh , Liu Jing , Jung Hyo-Jung , Cha Jung-Yul
Published: August 2023

This study aimed to compare the effectiveness of microcurrent-emitting toothbrushes (MCTs) and ordinary toothbrushes in reducing the dental plaque index (PI) and dental caries activity among orthodontic patients. The evaluation was performed using a crossover study design involving 22 orthodontic patients randomly assigned to the MCT or ordinary toothbrush groups. The participants used the designated toothbrush for 4 weeks and had a 1-week wash-out time before crossover to the other toothbrush. PI (Attin’s index) and dental caries activity were measured at baseline and at the end of each 4-week period. Additionally, patients completed questionnaires to assess patient satisfaction for “freshness in mouth” and “cleansing degree.” The results showed that the MCT group had a significant reduction in PI (p=0.009), whereas the ordinary toothbrush group did not (p=0.595). There was no significant difference in the dental caries activity between the two groups (p>0.05).Patient satisfaction assessment revealed that 65% patients in the MCT group had more than “fair” experience of freshness, in contrast to 50% of patients in the ordinary toothbrush group. Satisfaction with cleansing degree was similar in both groups. Overall, these findings suggest that MCTs are more effective in reducing dental PI than ordinary toothbrushes.
Multi-objective evolutionary algorithms for coverage and connectivity aware relay node placement in cluster-based wireless sensor networks
Authors: Harizan Subash , Kuila Pratyay , Kumar Anil , Khare Akhilendra , Choudhary Harshvardhan
Published: August 2023

Wireless sensor networks (WSNs) have been extensively explored due to their incredible capabilities and ever-growing field of applications. In cluster-based WSNs, cluster heads (CHs) deplete their energy quickly due to the extra workload of data aggregation and data forwarding as relay node from the member sensor nodes (SNs). While placing the RNs in the application areas to form the clusters, coverage of all the SNs and connectivity amongst the RNs are essential for proper function of the networks. Moreover, reducing the inter-cluster distances between the RNs and SNs is important to save the transmission energy of the SNs. Moreover, the problem of placement of RNs in cluster-based WSNs is known as NP-Hard. To solve the RN deployment problem with multiple conflicting objectives, we propose various evolutionary algorithms (EAs) like differential evolution (DE), particle swarm optimization (PSO), multi-objective DE (MODE) and multi-objective PSO (MOPSO). First, mathematical formulation of the problem is given. The solution vectors are efficiently encoded. All the objective functions are efficiently derived to evaluate the solution vectors. An extensive simulation is performed over the proposed algorithms. The results are analysed to determine the robust algorithm to be recommended for studied problem. The simulated results claimed that the MODE is comparably better to others for the studied problem. A statistical analysis, analysis of variance (ANOVA) is also performed followed by the least significant difference (LSD) post-hoc analysis.
Wearable Flexible Jeans Textile Microstrip Patch Antenna for ISM band Application
Authors: Fakirde Avish , Mulkallal Saikumar , Sahare Parul , Peshwe Paritosh
Published: August 2023

In this paper, we propose a novel miniaturized, flexible wearable rectangular patch antenna with Defected Ground Structure (DGS) for wireless body area network application. The resonance frequency and bandwidth of this antenna, which operates in the ISM (Industrial, Scientific, and Medical) frequency band, are 2.45 GHz and 0.379 GHz, respectively. One of the most commonly utilized fabrics for wearable antenna, denim jeans is used as the substrate whereas copper tape is used for fabricating the patch, feed and ground for the designed antenna. The patch antenna has rectangular and circular slots and a deflected ground structure (DGS) featuring a split ring resonator. The antenna is feed via a 50Ω microstrip line. The antenna measures 31 × 42 × 0.6 mm3 (0.25λo mm x 0.34λo mm x 0.005λo mm) in total. The designed antenna operates at the required frequency while maintaining high levels of directivity, gain, and Reflection Coefficient (S11), with values of 2.93 dBi, 2.627 dBi, and - 41.723 dB, respectively. The antenna has a radiation efficiency of 90.86%.To determine if the antenna was suitable for wearable use, its performance was examined under various bending conditions for varied radii of curvature. The Specific Absorption Rate (SAR) of the final antenna was tested and found to be 0.0548w/kg for 1g of tissue, which is well acceptable according to IEEE and FCC regulations. The antenna was designed and simulated using Computer Simulation Technology software and tested using a vector network analyzer. This paper contains the experimental results from the antenna prototype as well as a detailed description of the proposed antenna design. Its small size, return loss, gain, and SAR values indicate that the designed antenna is ideal for body-worn applications. The field of smart wearable textiles antenna may be able to use the suggested antenna in practical ways.
A Novel Approach of Secured Route Selection and Optimization in Underwater Sensor Networks
Authors: S Prem Kumar Deepak , G ARUN PRASATH , R Pitchai , Ch Madhu Babu
Published: August 2023

Underwater wireless sensor systems, also known as UWSNs, are a laudable, recently developed, and game-changing discovery that finds a number of uses in oceanographic research. An underwater wireless sensor network gives a broad idea in utilization's and exploring of underwater resources. The Unmanned Underwater Sensor Network (UWSN) is comprised of a vast number of nodes that receive sensors and self-driving vessels that are transported to coordinate a group activity in the ocean. To accomplish this goal, sensor nodes and under water autonomous vehicles are self-organized in an independent system which can adjust to the characteristics of oceanic condition. But the unique characteristic of the submerged acoustic correspondence channel is completely different when compared to Terrestrial systems. Like harsh environment, acoustic correspondence channel, high error rates, propagation delays, mobility, low transmission and multipath effect capacity of water channels. The sensors that make up UWSN networks are often installed in the buoyant. Because of the properties of the ocean, buoyant nodes are particularly susceptible to attacks based on self-centered behaviour. The selfish behavioural attack causes the major problems in forwarding of data to the ship. So, it is very important to provide effective and reliable security mechanisms, to detect the selfish behavioural nodes and to provide secured routing to the ships. Entropy-based ACO algorithm is developed for optimal route selection. This study identifies the fundamental obstacles that need to be overcome in order to discover a secure and optimal path for navigation in UWSN. Entropy calculated based on the details that were supplied by the distinguish nodes in the water that measure things like the wind speed, temperature, and depth. This would be the major points to analyse in the ship movement based on the Pheromone level for the path available in the coverage from the ship. Pheromone level and route strength is assessed and ship is directed towards the optimal route.This security mechanism helps to identify the abnormal nodes and provides appropriate routing method.
Phytochemical Screening and Anti-microbial Activity of Polygala sadebeckiana Gurke extracts on bacterial isolate from wound samples of patients with “Shimetere”
Authors: Zeleke Bereket , Mekonnen Zebene , Bireda Meskele , Yitbarek Melaku , Dendir Andamlak
Published: August 2023

Background
As Guraghe community believed that modern medication use especially through injection route seriously aggravate the disease, the root part of Polygala sadebeckiana Gürke is commonly used as traditional medicine in the management of “Shimetere”, which is a common skin and soft tissue infection in the community. The aim of this study was to evaluate anti-microbial activity of Polygala sadebeckiana Gürke extract on bacterial isolate from wound samples of patients with “Shimetere”.
Methods
Agar well diffusion method was used to evaluate antibacterial activity and agar dilution method was utilized to determine minimum inhibitory concentrations (MIC) and minimum bactericidal concentrations (MIC). The crude extract was tested against isolated bacteria at the concentration of 25, 50, 75 and 100 mg/mL in triplet (3x). The positive controls were azithromycin (15µg) cloxacillin disk (5µg) and the negative control was dimethylsulfoxide (5%). The group means comparisons were made using one-way ANOVA at a significance level of p < 0.05 and the results were presented as mean ± standard deviation. The presence of secondary metabolites from crude extract was checked by standard testing procedures.
Results
S. aurous and S. pyrogen were the two identified bacteria from 9 (60%) and 3(20%) of wound samples, respectively. All identified bacterial strains were susceptible for the reference antibiotics. Tannins and saponins were the most abundant secondary metabolites found in the crude extracts. The average inhibition zone of the plant extract with 100, 75, 50 and 25 mg/mL concentration were 27, 20.33, 15.25, 11.96 mm (p < 0.000) for S.aurous and 30.02, 24.50, 19.07, 15.77 mm (p < 0.000) S.pyrogen bacteria. MIC and MBC of the crude extract were 1.67 and 10 mg/ml for S. aureus and 0.98 and 4 mg/ml for S.pyrogen.
Conclusion
Polygala sadebeckiana Gürke contained significant tannins and saponin as a secondary metabolites and had antibacterial activities against isolated bacteria (S. aurous and S. pyrogen ) from “Shimetere”.
Establishing an intelligent and smart tourism model using data mining in the context of big data
Authors: Jia Xiaoxue
Published: August 2023

Nowadays, with the rapid development of information technology (IT), the tourism industry has begun to apply it in the tourism sector for the establishment of a smart tourism model. Smart tourism is formed based on the expansion of traditional tourism, focusing on personalized user experiences through TIYA, which is a social networking application. Its core is IT, such as cloud computing, the Internet of Things (IoT), artificial intelligence (AI), and big data technology. Smart tourism is a complete tourism service system that improves the convenience of tourists. Keeping in mind the vital role of smart tourism in developing the economy of a country, this study establishes a smart tourism management model based on data mining in the context of big data, with the purpose of strengthening the accuracy of smart tourism management and improving customer satisfaction with tourism. Before constructing the intelligent tourism management model, this study first describes the data mining technology in detail, introduces the Naive Bayes (NB) algorithm and the improved algorithm based on Apriori, analyzes the characteristics of tourism data, and establishes an intelligent tourism management model on this basis. In the proposed model, the government sector, the tourism industries, the community residents, tourists, and other forces are brought into full play, and a complete intelligent tourism management model is established. Using the proposed model, all the stakeholders can improve their own value and meet their tourism needs. Taking Beijing as an example for the experimental work, the improved algorithm based on Apriori is used to mine the tourist interest points. After evaluating the proposed model, it is concluded that the most interest points are obtained when the bandwidth parameter is set to 0.02. After the clustering operation, the first, second, and third tourist attractions in Beijing are obtained, and the results are consistent with the tourist interest. At the same time, the time index of three different mining algorithms (improved MapReduce algorithm (MA), the MapReduce algorithm (MRA), and the k-order MapReduce parallel algorithm (MRKA) based on the improved Apriori algorithm) under different minimum supports is compared. The results show that the MA algorithm can mine the required information in the shortest time.
Comprehensive evaluation of morphological and physiological responses of seventeen Sedum species to waterlogging and drainage under temperate monsoon climate: photosynthesis, osmotic balance and antioxidant capacity
Authors: Zhang Jie , Song Feng , Xu Xiaolei , Xia Tiantian , Zhang Xu , Dong Li , Yin Dejie
Published: August 2023

Unpredictable rainfall frequently results in excess moisture, which is detrimental to the landscape because it interferes with the genetic, morphological, and physiological processes of plants, even though the majority of urban landscapes frequently experience moisture shortages. A study was conducted to analyze the effects of a 36-day waterlogging phase and a subsequent 12-day recovery period on the morpho-physiological responses of 17 sedums with the goal of identifying those which were more tolerant of the conditions. Results revealed that waterlogging stress has an impact on all morpho-physiological parameters. Sensitive sedums showed severe ornamental quality damage, mortality, decreases in total dry biomass, root-shoot ratio, and chlorophyll content, as well as higher MDA concentrations. Lower reductions in such parameters, as well as better antioxidant enzyme activities and higher recovery capabilities following drainage, were seen in the most tolerant sedums S2 (S. spectabile 'Brilliant'), S3 (S. spectabile 'Carl'), and S5 (S. telephium 'Autumn Joy'). Furthermore, with the exception of early death sedums (S7, S. telephium 'Purple Emperor' and S15, S. sexangulare), all sedums showed varying intensities of adventitious root formation in response to waterlogging. Sedums' survival and success in this long duration of waterlogging (36 days) and recovery were attributed to a combination of physiological and morphological responses, indicating that they are attractive species for the development of rain gardens or impeded drainage locations. The 17 species were divided into 4 clusters based on the comprehensive evaluation value. The first group included S1-S3, S5-S6, S8-S12, which were waterlogged tolerant with the highest values (0.63–0.82). S14 belongs to the intermediate waterlogging-tolerant. S4, S13, S16, and S17 were clustered into the low waterlogging-tolerant group. S7 and S15 were the most susceptible to waterlogging.
Study Protocol of a Randomized Controlled Trial to Assess Safety of Teleconsultation Compared with Face-to-Face Consultation. The ECASeT Study
Authors: Rodríguez-Molinero Alejandro , Carot-Sans Gerard , Escrig Roser , Tebé Cristian , Arce Jacobo , Pérez-López Carlos , Ballesta Silvia , Verdejo Guillermo , Cedeño Ángel , Riera-Pagespetit Mar , Vivas-Angeles Sofía , Alarcon Jose L. , Navarro Itziar , Toro Silvia , Mateo Llorenç , Torres Ana J. , Delmás Gerard , Camell Helena , Chamero Antonio , Gasol Montse , Piera-Jiménez Jordi
Published: August 2023

Background: The use of remote consultation modalities has exponentially grown in the past few years, particularly since the onset of the COVID-19 pandemic. Although a huge body of the literature has described the use of phone (tele) and video consultations, very few of the studies correspond to randomized controlled trials, and none of them has assessed the safety of these consultation modalities as the primary objective. The primary objective of this trial was to assess the safety of remote consultations (both video and teleconsultation) in the follow-up of patients in the hospital setting.
Methods: Multicenter, randomized controlled trial being conducted in four centers of an administrative healthcare area in Catalonia (North-East Spain). Participants will be screened from all individuals, irrespective of age and sex, who require follow-up in outpatient consultations of any of the departments involved in the study. Eligibility criteria have been established based on the local guidelines for screening patients for remote consultation. Participants will be randomly allocated into one of the two study arms: conventional face-to-face consultation (control) and remote consultation, either teleconsultation or video consultation (intervention). Routine follow-up visits will be scheduled in a frequency determined by the physician based on the diagnostic and therapy of the baseline disease (the one triggering enrollment). The primary outcome will be the number of adverse reactions and complications related to the baseline disease. Secondary outcomes will include non-scheduled visits and hospitalizations, as well as usability features of remote consultations. All data will either be recorded in an electronic clinical report form or retrieved from local electronic health records. Based on the complications and adverse reaction rates reported in the literature, we established a target sample size of 1,068 participants per arm. Recruitment started in May 2022 and is expected to end in May 2024.
Discussion: The scarcity of precedents on the assessment of remote consultation modalities using randomized controlled designs challenges making design decisions, including recruitment, selection criteria, and outcome definition, which are discussed in the manuscript.
Trial registration: NCT05094180
Epidemiological SEQ1IQ2R Model for the Attack of COVID Phase II in Human Society
Authors: Singh Aditya Kumar Kumar , Jha Abhay Kumar , Choudhary Surya Deo , Singh Sandhir Kumar
Published: August 2023

A SEQ1IQ2RS (Exposed, Exposed, Home Quarantined, Spreading, Hospital Quarantined, Cured, Susceptible) model for the transmission of Corona Virus Phase II in human organization has been developed and allure various parametric characteristics are resolved. The Basic Reproduction Number R0 is grown. Local and Global Stability for the Corona virus infection free evenness state of the system has been proved. Endemic equilibrium and bifurcation environments are discussed. To solve and imitate the system of differential equations, numerical methods have happened employed which can help us to understand the attacking presence of the corona virus phase ii human society. This may too give us a direction to frame out the defense mechanism against spreads of Corona virus phase ii Human society.
Myeloradiculopathy et Spinal Space Occupying Lession due to Spondylitis Tuberculosis at Thoracal Vertebrae Level: A Case Report and Literature Review
Authors: Anugerah Samuel Willyarto , Dahlan Rully Hanafi , Ompusunggu Sevline Estethia , Priambodo Radityo , Syawal Muhammad Reyhan
Published: August 2023

Background: Myelopathy and radiculopathy are different but not mutually exclusive, and patients often experience both conditions. Thoracic myelo-radiculopathy may occur secondary to congenital, infectious, etc.
Case Description: The neurology department consulted a 20-year-old woman due to weakness in her lower extremities. The complaints were preceded by pain in the upper back radiating to the chest for eight months since prior and getting worse three weeks before admission until the patient could not walk five days prior. MRI showed an extradural isointense and hyperintense lesion at the Th-2 until Th-4, ring enhancement (+) Th-1, and canal stenosis of the Th-2. The treatment was post anterior thoracic interbody fusion and transmanubrio sternotomy surgery followed by anti-TB treatments. After surgery and medication, the patient experienced significant motor development. From the original lower extremity motor, only 11111/11111 to 33333/44333.
Conclusions: Myeloradiculopathy et SOL Extradural at vertebrae level due to the compression of the neural structure by spondylitis TB infection. The importance of early diagnosis and proper treatment are well needed and described.
Micro CT evaluation of marginal discrepancies of endocrown restored molars with different intrapulpal depths and materials of fabrication. (In-vitro study)
Authors: El-Agwany Mohamed Aly , Hamdy Amina Mohamed , Zohdy Maged Mohamed , Mahrous Aliaa , Tawfik Ahmed , Nabih Soha Osama
Published: August 2023

Objective: The purpose of this study was to evaluate the effect of different preparation depths (0, 2 and 4 mm) of different restoration designs (classic endocrown design versus overlay design) on marginal adaptation of restorations fabricated of two different restorative materials (lithium disilicate and PEEK).
Materials and methods: Sixty mandibular natural molars were collected as abutments for the restorations of this study, and grouped in three main groups of different cavity depths (0, 2 and 4). Each group was divided into two subgroups according to material of fabrication to (L) for lithium disilicate and (P) for PEEK. CAD/CAM milling technology was used for fabrication of restorations. After cementation of restorations over abutments, hydrothermal aging was performed, and then marginal adaptation was evaluated via micro CT technology.
Results: Regarding cavity depths, there was a significant difference between different groups (p<0.001). The highest value was found in samples with 4 mm extension (84.35±18.16), followed by samples with 2 mm extension (66.52±21.86), while the lowest value was found in samples without pulpal extension (59.41±22.16). Post hoc pairwise comparisons showed samples with 4 mm extension to have a significantly higher value than samples without extension (p<0.001). Regarding materials of fabrication, PEEK (85.32±12.37) had a significantly higher value than Emax (54.86±20.86) (p<0.001). Conclusions: Increasing intrapulpal cavity depths increases vertical marginal gap of lithium disilicate or PEEK restorations. Endocrowns fabricated of lithium disilicate show less marginal discrepancies than that of endocrowns fabricated of PEEK.
COVID-19 From Symptoms to Prediction: A Statistical and Machine Learning Approach
Authors: Fakieh Bahjat , Saleem Farrukh
Published: August 2023

During the COVID-19 pandemic, analysis of patients’ data played a vital role in developing precautions, medications, and vaccination strategies. In this regard, data reported by hospitals and medical institutes is considered one of the reliable sources for any investigation. The use of recent technologies such as machine learning provides a platform to transform such data into meaningful insight that can help decision-makers to prepare future strategies. This study mainly focused on developing prediction models to predict the age group of COVID-19 patients using different attributes by applying statistical and Machine Learning (ML) approaches. The study was conducted in two different phases. Firstly, statistical tests such as ANOVA and t-test were applied to investigate relationships between different variables. Secondly, multiple ML models were applied to predict patients’ age groups based on symptom data. For this, Decision Tree, Naïve Bayes, KNN, Gradient Boosted Trees, and Random Forest models were trained for prediction. In addition, to enrich the performance of the prediction model bagging, boosting, and stacking ensemble approaches are used. The statistical results clearly suggested a significant association among five common symptoms in datasets. Moreover, the results of ML implementation indicated that ensemble approaches such as boosting, bagging, and stacking can enhance the prediction accuracy significantly. Overall, the gradient boosting trees (GBT) with bagging marginally outperformed (0.6628), but in some cases boosting and stacking proved strong techniques and can generate better ensembles than bagging. For example, K-Nearest Neighbors (KNN) and Naïve Bayes (NB) without ensemble recorded (0.529) and (0.554) accuracy, but with the stacking model the performance of both was enhanced significantly and accuracy measured at 0.63 and 0.622 respectively. This study shows that ML ensemble approaches can enrich the performance of the prediction model. The results of this study can be useful for medical authorities to prepare and implement strategies and precaution guidelines for different age groups and recorded symptoms.
Flow cytometric analysis of hepatopancreatic cells from Armadillidium vulgare highlights terrestrial Isopods as efficient environmental bioindicators in ex vivo settings
Authors: Panza Giovanna , Montanari Mariele , Lopez Daniele , Burattini Sabrina , Ciacci Caterina , Fumelli Piermarco Paci , Pasini Giovanni , Fusi Vieri , Giorgi Luca , Grandoni Francesco , Papa Stefano , Santolini Riccardo , Canonico Barbara
Published: August 2023

Several studies report the high capacity of bioindication of Isopoda (Crustacea, Oniscidea), related to their important ability to accumulate contaminants, useful in soil ecotoxicology and in bioindication activities. Any change in the Isopods population, diversity, and life cycle can indicate relevant pollution levels. The analysis of target tissues, as hepatopancreas, is another emerging approach (from a cytologic/histologic level) to detect contaminant accumulation from different sources. In this study, tissue disaggregation procedures were optimised on hepatopancreas, and Flow Cytometry (FC) was applied to detect cell viability and several cell functions. After disaggregation, two hepatopancreatic cell types, Small (S) and Big (B), were still recognizable: they differ in morphology and behaviour. The analyses were conducted for the first time on Isopods from sites at different conditions of ecological disturbance through a cytometric re-interpretation of ecological-environmental parameters. Significant differences in cell functional parameters were found, highlighting that Isopod hepatopancreatic cells can be efficiently analysed by FC and represent standardisable, early biologic indicators, tracing environmental-induced stress through cytologic/histologic analyses.
Optical Second Harmonic Generation in Anisotropic Multilayers with Complete Multireflection Analysis of Linear and Nonlinear Waves using ♯SHAARP.ml Package
Authors: Zu Rui , Wang Bo , He Jingyang , Weber Lincoln , Saha Akash , Chen Long-Qing , Gopalan Venkatraman
Published: August 2023

Optical second harmonic generation (SHG) is a nonlinear optical effect widely used for nonlinear optical microscopy and laser frequency conversion. Closed-form analytical solution of the nonlinear optical responses is essential for evaluating the optical responses of new materials whose optical properties are unknown a priori. A recent open-source code, ♯SHAARP.si, can provide such closed form solutions for crystals with arbitrary symmetries, orientations, and anisotropic properties at a single interface. However, optical components are often in the form of slabs, thin films on substrates, and multilayer heterostructures with multiple reflections of both the fundamental and up to ten different SHG waves at each interface, adding significant complexity. Many approximations have therefore been employed in the existing analytical approaches, such as slowly varying approximation, weak reflection of the nonlinear polarization, transparent medium, high crystallographic symmetry, Kleinman symmetry, easy crystal orientation along a high-symmetry direction, phase matching conditions and negligible interference among nonlinear waves, which may lead to large errors in the reported material properties. To avoid these approximations, we have developed an open-source package named Second Harmonic Analysis of Anisotropic Rotational Polarimetry in Multilayers (♯SHAARP.ml). The reliability and accuracy are established by experimentally benchmarking with both the SHG polarimetry and Maker fringes predicted from the package using standard materials.
Relationship of urinary bisphenol A in childhood on thyroid hormone function in adolescents: a cohort study
Authors: Choi Jung Eun , Choi Eun Jeong , Lee Seonhwa , Park Bohyun , Lee Hye Ah , Hong Young Sun , Ha Eunhee , Kim Hae soon , Park Hyesook
Published: August 2023

Background
Bisphenol A (BPA) is a type of endocrine-disrupting chemical utilized in the production of plastics like epoxy resins and polycarbonate polymers. BPA exhibits weak estrogenic and potent anti-androgenic effects, and prior research has linked it to disturbances in thyroid function. This study aims to assess the potential association between early childhood exposure to urinary bisphenol A and thyroid hormone levels in pubertal children from Korea.
Methods
Participants were drawn from the Ewha Birth and Growth Cohort Study, encompassing individuals who visited Ewha Women's Mokdong Hospital between 2001 and 2005. The concentration of urinary BPA was repeatedly measured for each subject at ages 3–5 years and 7–9 years. Serum levels of free T3, free T4, and thyroid-stimulating hormone (TSH) were measured at ages 10–12 years in a subgroup of 128 out of 164 subjects who had undergone repeated BPA concentration measurements. We utilized the SAS program to analyze possible links between childhood exposure to BPA and thyroid hormone function in adolescence. Additionally, we explored how exposure to BPA during two specific periods influenced changes in thyroid hormone levels.
Results
The study observed that urinary BPA levels at ages 3–5 years were not notably linked to thyroid hormone levels in adolescents aged 10–12 years. However, BPA levels at ages 7–9 years were significantly associated with free T3 levels in girls aged 10–12 years. Conversely, exposure to BPA did not result in significant differences in thyroid hormone levels among boys. The study did not find statistically significant connections between levels of urinary BPA and the other thyroid hormones, specifically TSH and free T4. There was a significant decrease in the concentration of free T3 in girls with higher BPA concentrations.
Conclusions
BPA exposure in childhood affects thyroid function in adolescent girls. This relationship may contribute to an increased prevalence of thyroid disorders in adolescents due to environmental influences.