bluuebunny/crossref_metadata_2025 huggingface dataset:
Participation of Energy Storage-Based Flexible Hubs in Day-Ahead Reserve Regulation and Energy Markets Based on a Coordinated Energy Management Strategy
Authors: Kazemi Mohsen , Salehpour Saeed Yeganeh , Shahbaazy Farid , Behzadpoor Saeed , Pirouzi Sasan , Jafarpour Saeid
Published: September 2022

In order to increase energy efficiency, the energy hub is considered as a form of aggregator and coordinator of various resources and storage. With the optimal performance of resources and storage generators based on a proper energy management system, it is expected that hubs can gain financial benefits from energy markets and ancillary services. So, the paper presents the participation of networked energy hubs in day-ahead (DA) reserve regulation and energy markets, where the hub operator incorporates a coordinated energy management (CEM) strategy to manage power sources and energy storage devices within the hub. Hence, this problem maximizes the total profit of hubs in the DA energy and up and down reserve markets. Also, the problem is constrained by optimal power flow (OPF) constraints in gas, electricity, and thermal networks, reserve limits, and hub constraints, including the model of the combined heat and power (CHP), renewable energy source (RES), electrical/thermal storage, parking lots of electric vehicles (EVs), and boiler. Following that, a linear format is obtained for the nonlinear equation using traditional linearization methods so that an optimal solution is found in less time considering less computational error. Eventually, a standard case system is used to test the strategy, and thus, the capabilities of the approach are investigated. The obtained findings validate the potential of the proposed design in enhancing the economic situation of power sources and storage in hub form, which can enhance operation indices by optimal management of the hub so that the energy management of resources and storage in the form of a hub based on CEM compared to their independent management plan has been able to increase the profit of these elements in energy and up and down reserve markets by about 17%, 28%, and 15%, respectively. Regarding technical indices of energy networks, the proposed scheme by creating low energy losses in the gas network and providing pressure drop, overvoltage, and overtemperature within their permissible limits succeeded in reducing the energy losses in electricity and heat networks by about 83% and 38%, respectively, compared to power flow studies. Also, in these conditions, it has reduced the maximum voltage and temperature drop by 45% and 39%, respectively.
Intelligent Industrial Design System Based on Spatial Digital Technology
Authors: Jian Yingbin , Li Yunpeng , Wang Lijie , Dong Shenghuan
Published: September 2022

In order to improve the effect of intelligent industrial design, this paper combines the spatial digital technology to construct the system structure of the intelligent industrial design community. Considering the existence of the identification diffusion angle, this paper analyzes the refraction of light when it enters the workpiece and lists the calculation methods of the refraction angle of different media. Moreover, considering that the various conditions of the workpiece detection surface will make the calculation of the refraction of the identification light more complicated; this paper analyzes the specific parameters of the identification light, which lays a theoretical foundation for the accurate calculation of the subsequent wavefront arc. In addition, this paper studies defect reconstruction methods based on circle, ellipse, and polygon models. Finally, through experimental research, this paper verifies that the intelligent industrial design system based on spatial digital technology has a good effect in industrial design and can effectively improve the intelligence of modern industrial design.
Analysis on the Classification and Evaluation System of Talents in Colleges and Universities from the Perspective of AHP
Authors: Wei Dong , Guo Ling , Dong WenRan
Published: September 2022

With the continuous advancement of higher education reform, talent classification evaluation has become a new trend in the management and development of teachers in colleges and universities. As an important foundation for the development of teachers in colleges and universities, talent evaluation not only plays the role of the baton but also promotes the process of educational reform in colleges and universities. As the difficulty and key point of the reform of the personnel system in colleges and universities, the implementation of the classification and evaluation of talents in colleges and universities is conducive to mobilizing their enthusiasm and creativity and is an inevitable trend in the reform and development of higher education. However, at present, teaching, scientific research, and social services are mainly used as the important basis for teacher evaluation in college talent evaluation. The evaluation mechanism is not perfect, the evaluation standard is single, the evaluation methods are convergent, and evaluation mechanism of the academic circles on evaluation, etc. The research on the problem is still very weak, and the development of college teachers is increasingly affected. It is urgent to build a set of accurate classification and evaluation systems for college talents. In view of the many problems existing in the above-mentioned talent classification and evaluation mechanism in colleges and universities, this paper adopts AHP and fuzzy evaluation method, adopts this method to evaluate talents in the stage of talent introduction in colleges and universities, classifies talents according to the evaluation results, and finally uses the classification results as it is tested in practice to verify the effectiveness of the method constructed in this paper.
[Retracted] Analysis of Psychological Shaping Function of Music Education under the Background of Artificial Intelligence
Authors: Xiang Yuehua
Published: September 2022

In order to solve the problem of integrating intelligent technology into music teaching, this paper puts forward the methods of using intelligent technology to optimize the music teaching system; to enhance the effectiveness of music psychological guidance, music intelligent creation, the development of Yi Guzheng platform, the integration of online sparring technology, and the rational use of Mu class platform, and to ensure the construction of loop curriculum system with “intelligent piano.” RBF algorithm has strong data processing ability, which can ensure the operation quality of music score, music score and performance learning modules, and effectively strengthen the training effect of music psychological function. The artificial intelligence platform is more progressive in evaluation. It can use emotion to evaluate courses, grasp the course direction in advance, ensure the construction quality of psychological function, and improve the effect of music teaching; take 100 people as the basis of students, and measure the time proportion of students’ music learning in the intelligent system. cjσj refers to the learning situation of music courses within the learning time X of students with excellent psychological quality of music. This result is parallel. Y represents the best score of music output by each algorithm. 2024 music intelligent platforms have collected various course resources with difficulty coefficients of 1 to 5, and the course resources of pictures and videos are sufficient. It can provide students with comprehensive music psychological education and give full play to the teaching advantages of intelligent technology. It can be seen from the data: the operation of music score, music score and performance module viewed in March 2021, with high transportation times and resource download times, indicating that the operation is in good condition; The error correction accuracy of the system is greater than 99%, indicating that the system has strong error correction ability.
A Novel Technique to Utilize Second Waste of Plastic Bottle as Soil Reinforcement: A Comparative Study on Mechanical Properties with Natural Black Cotton Soil
Authors: Adane Tezeta Moges , Araya Alemgena Alene , Karthikeyan B. , Selvaraj Senthil Kumaran , Jose S. , John Rajan A. , Vincent Herald Wilson D.
Published: September 2022

Black cotton soils, which are expansive, are present in abundance in Ethiopia. This type of soil possesses expansion when saturated with water and contraction during hot seasons, due to which it is labelled as “weak soil.” They may remain a threat to the structures if they are constructed over them without precautions. The quality of such soils can be improved by treating them with suitable stabilizers or soil reinforcers. This paper discusses the chances of using the second waste of plastic bottles as a reinforcer to strengthen weak black cotton soils in Ethiopia. Second, plastic bottle waste was added at 1%, 2%, 3%, 5%, 7%, and 9% to the soil, and numerous trials were conducted to ensure the reliability of the results. The effects were analyzed based on the results from the Atterberg limit tests, compaction tests, unconfined compression strength (UCS) tests, and the California bearing ratio test (CBR) for soaked and unsoaked conditions. The results were compared against the natural soil results, and the optimum usage percentage of second waste plastic required to reinforce the soil was reported. The results indicate that among the various properties used, the mix with 2% second waste plastic is effective with numerous trials being conducted to ensure the reliability of the results and decreased values of OMC by 18.5%, increased MDD by 1.9%, increased CBR by 50.9%, and increased UCS by 10.1%. Thus, the research provides a novel technique to recycle plastic waste once again as soil reinforcement, thereby saving the environment from dumped waste.
Optimization Design of Multi-UAV Communication Network Based on Reinforcement Learning
Authors: Cao Zhengyang
Published: September 2022

In recent years, due to the application of high-definition video codec technology, high-precision satellite navigation technology, mobile base station positioning technology, and broadband technology, the performance of UAVs has been greatly improved. In the military field, drones have become an important weapon alongside missiles on the battlefield. In the future, military drones will perform strategic missions such as battlefield reconnaissance and long-range destruction. Outside the military field, DJI’s Zenmuse series drones are used for filming, MG series drones are used for pesticide spraying, and Beijing Zhonghangzhi unmanned helicopters are used for geological surveys, precise inspection of power lines, and maritime law enforcement. With the continuous improvement of technical specifications, UAV communication technology requires further research and development. This paper has conducted research experiments on the optimization of multi-UAV communication network based on reinforcement learning. The experimental data show that it is marked as the AoI value corresponding to the completion of a certain self-task. It can be seen that the final AoI of the communication trajectory of reinforcement learning is 115, and the AoI greedy strategy finally obtains AoI of 140 seconds, achieving about 18% of the total AoI reduce, which effectively improve the performance of the system. From the above data, the research of reinforcement learning method has great benefits for the development of UAV communication.
Effect of Early Rehabilitation Nursing on Motor Function and Living Ability of Patients with Traumatic Brain Injury Based on Orem’s Self-Care Theory
Authors: Yang Yuqin , Niu Lu
Published: September 2022

Objective. To explore the effect of early rehabilitation nursing on motor function and living ability of patients with traumatic brain injury (TBI) based on Orem’s self-care theory. Methods. A total of 60 patients with TBI treated in our hospital from February 2019 to June 2021 were enrolled. The patients were randomly divided into a control group and a research group. The control group adopted the early rehabilitation nursing model, while the research group adopted the early rehabilitation nursing model based on Orem’s self-nursing theory. Nursing satisfaction, Fugl-Meyer score, NIH-SS score, Barthel index, quality of life score, and compliance were in the comparison of the two groups. Results. The nursing satisfaction of the research group was higher than that of the control group (

P

 < 0.05). Compared with the control group, the Fugl-Meyer scores of the research group were higher at 1 month, 2 months, and 3 months after nursing (

P

 < 0.05). After nursing, the NIH-SS score of the two groups decreased. In the comparison of the two groups, the NIH-SS score of the research group at 1 month, 2 months, and 3 months after nursing was lower (

P

 < 0.05). After nursing, the Barthel index of the two groups increased. In the comparison of the two groups, the Barthel index of the research group was higher compared to the control group at 1 month, 2 months, and 3 months after nursing (

P

 < 0.05). The scores of physiological function, psychological function, social function, and health self-cognition in the research group were lower (

P

 < 0.05). The compliance rate of the research group was higher than that of the control group (

P

 < 0.05). Conclusion. Patients with TBI receive early rehabilitation nursing based on Orem’s self-care theory, which can effectively improve patient satisfaction and compliance and achieve the purpose of improving motor function and living ability. This nursing program is worth popularizing in the clinic.
[Retracted] The Construction of Civics in University English Courses in the New Media Environment
Authors: Ding Xiaohang
Published: September 2022

The traditional education system has obvious limitations, relying on civics curriculum to cultivate and spread the national spirit. By analyzing the characteristics and goals of English courses under the new media, actively forming a large‐scale ideological and political education model, and encouraging the innovation and optimization of English courses, new concepts of three‐dimensional development can be proposed from the microlevel, and the coverage of ideological and political education can be expanded. Intelligent information technology can realize the coordinated development and collaborative application of English curriculum and ideological and political education. The combination of implicit education and explicit education and the combination of curriculum thinking and thinking curriculum can truly build the higher education model required by the development of the times.
Serum Interleukins as Potential Prognostic Biomarkers in HBV-Related Acute-on-Chronic Liver Failure
Authors: Zhang Lili , Hu Jianhua , Gou Chunyan , Jin Hua , Zhang Chun , Liu Yang , Wang Yitong , Wang Xiaojun
Published: September 2022

Hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) is relatively common in China and has complex pathogenesis, difficult clinical treatment, and poor prognosis. Immune status is an important factor affecting ACLF prognosis. Interleukins are a family of secreted lymphocyte factors that interact with a host of cell types including immune cells. These signaling molecules play important roles in transmitting information; regulating immune cells; mediating the activation, proliferation, and differentiation of T and B cells; and modulating inflammatory responses. Many studies have investigated the correlation between interleukin expression and the prognosis of HBV-ACLF. This review focuses on the potential use of interleukins as prognostic biomarkers in HBV-ACLF. References were mainly identified through PubMed and CNKI search, including relevant studies published until December 2021. We have summarized reports of several promising diagnostic interleukin biomarkers that predict susceptibility to HBV-ACLF. The use of biomarkers to understand early prognosis can help devise different therapeutic measures and improve patient survival. Ongoing research on prognostic biomarkers of HBV-ACLF is promising, and future preclinical and clinical studies are warranted.
Application of GIS Technology-Supported Cross Media Fusion Method Based on Deep Learning in Landscape Performance Evaluation
Authors: Liu Xiaoqing , Wang Juanfen , Rui Xiao , Zhang Jizhi
Published: September 2022

GIS technology can provide reasonable and sustainable data support for landscape planning and ecological development and make wetland landscape planning consider the spatial layout of landscape and the optimal allocation of resources more. The key technologies of cross media intelligence mainly focus on intelligent information retrieval, analysis and reasoning, knowledge map construction, and intelligent storage. Convolutional neural network (CNN), as one of the representative algorithms of deep learning, plays an important role in retrieving landscape data and extracting image and text features across media. Further retrieval of media data, in-depth text processing, and image feature data extraction are realized by using deep learning technology, and comprehensive in-depth analysis is carried out by combining landscape plane images, three-dimensional images, and vector information in GIS technology. Provide quantitative information for the evaluation system of human landscape, economy, history, and region, so as to formulate a scientific and reasonable performance evaluation system.
[Retracted] Investigating the Impact of Transportation Infrastructure and Tourism on Carbon Dioxide Emissions in China
Authors: Zhang Qiang
Published: September 2022

In order to effectively address or eliminate the impact of CO2 emissions, it is essential to investigate the analysis of CO2 emissions under transport infrastructure and tourism. Transportation infrastructure helps to achieve carbon dioxide emission limitation, which is crucial for resource distribution, effectively summarizing the regularity and innovation in the process of carbon dioxide emission limitation. In the case of fully grasping the principles of low‐carbon tourism development and related policy protection, a suitable low‐carbon tourism development model is found. By constructing a data analysis model, this paper analyzes the impact of transportation infrastructure and ecotourism on carbon dioxide emission limitation. In terms of methods and systems, effective measures are given to the role of Chinese traffic settings in tourism, and the carbon emission system of the entire life cycle of traffic settings is analyzed, and the boundary of the impact of traffic carbon emissions on tourism is determined. In response to this problem, it is necessary to reform and optimize the transportation facility of the carbon emission accounting method, which has a positive effect on the green development and low‐carbon development of the Chinese economy for ecotourism and transportation infrastructure.
Simulation on Basketball Recognition Based on Mobile Network Communication and Panoramic Vision
Authors: Yang Yang
Published: September 2022

At present, the application of information technology has realized the transformation of people’s production and lifestyle, and it has also promoted the transformation of the sports industry. At present, the application of informatization in the basketball field in the sports industry is increasing. By using the advanced methods and technologies of its information display, this article aims at realizing the optimization of the basketball recognition pattern in the mobile network communication environment to promote the ecological development of the sports industry. It proposes to use panoramic vision to guide the integration of computer network and basketball field, which is helpful to analyze and solve the objectivity problems of single action and system incompatibility in basketball recognition simulation. By referring to the principles and laws of panoramic vision, the identification module and simulation module of the basketball auxiliary training system are constructed and optimized, so as to realize the promotion of basketball and the ecologicalization of teaching. In the research on the basketball recognition simulation system, the three-dimensional skeleton key point coordinate data are input into the ST-GCN network for comparison and testing. Specifically, it includes 2D key point coordinate data and 3D key point coordinate data as input to conduct model research and testing in the self-made basketball dataset. The experimental results show that the recognition rates of 2D and 3D coordinates are 66.64% and 87.69%, respectively. Therefore, it is crucial to use the human panoramic vision algorithm to convert 2D coordinates to 3D coordinates.
Clinical Clues to Differentiate between Dermatophyte Onychomycosis (DP‐OM) and Dermatophytoma‐Like Traumatic Onychodystrophy (DP‐TO)
Authors: Bunyaratavej Sumanas , Pattanaprichakul Penvadee , Sitthinamsuwan Panitta , Pongkittilar Bawonpak , Prasertsook Suthasanee , Wongdama Supisara , Yan Chadakan , Leeyaphan Charussri
Published: September 2022

Background. Dermatophytoma is a recalcitrant condition of onychomycosis (OM). It presents as a white‐ or yellow‐colored fungal mass that appears linear/triangular or round on a nail plate. Traumatic onychodystrophy (TO) can present with dermatophytoma‐like lesions. Typically, OM and TO are not clinically distinguishable. Mycological testing is the gold standard for differentiating these disorders. Objectives. This study is aimed at differentiating between the clinical and dermoscopic factors related to dermatophytoma onychomycosis (DP‐OM) and dermatophytoma‐like traumatic onychodystrophy (DP‐TO). Methods. A retrospective study was conducted of patients with dermatophytoma‐like nail lesions who visited the Siriraj Nail Clinic between January 2010 and July 2020. The diagnosis of DP‐OM was made by direct microscopy, fungal cultures, and histopathology of nail clippings. Results. A total of 36 nails were included in the study. Thirteen nails were DP‐OM, and 23 nails were DP‐TO. The demographic data and risk factors for the 2 groups were not significantly different. Dermatophytoma lesions were found on the lateral side of nails in 12 cases of DP‐OM (92.3%) and 11 cases of DP‐TO (47.8%; P = 0.008). DP‐OM was associated with longitudinal striae adjacent to dermatophytoma (69.2% vs. 30.4%; P = 0.024), sulfur‐nugget‐like subungual debris (23.1% vs. 0%; P = 0.040), and scale on the ipsilateral foot (69.2% vs. 8.7%; P < 0.001). DP‐TO was associated with a homogenous, whitish discoloration (47.8% vs. 7.7%; P = 0.014) and a sharp edge of the onycholytic area (43.5% vs. 0%; P = 0.005). Conclusions. The lateral location of dermatophytoma, adjacent striae, sulfur‐nugget‐like debris, and scale on the ipsilateral foot were significantly associated with DP‐OM. Dermoscopic examination (dorsal and hyponychium views) and foot examination are beneficial for distinguishing between DP‐OM and DP‐TO.
VEGFA‐Enriched Exosomes from Tendon‐Derived Stem Cells Facilitate Tenocyte Differentiation, Migration, and Transition to a Fibroblastic Phenotype
Authors: Xue Zhaowen , Chen Zihang , Wu Tingting , Li Riwang , Chen Chao , Liu Junting , Hou Huige , Zheng Xiaofei , Wang Huajun
Published: September 2022

Tendon‐derived stem cells (TDSCs) play a vital role in repair of rotator cuff tear injuries by secreting paracrine proteins that regulate resident cell functions. Secreted exosomes may play a role in tendon injury repair by mediating intercellular communication; however, the detailed mechanisms by which TDSC‐derived exosomes affect tenocyte development remain unknown. Here, we examined the effects of exosomes isolated from conditioned medium of TDSCs on tenocyte differentiation, migration, and transition to a fibroblastic phenotype in vitro. Successful isolation of exosomes from TDSCs was confirmed by high expression levels of CD81, CD63, CD9, and TSG101. Treatment with TDSC‐derived exosomes promoted the growth and migration of cultured rat tenocytes, and increased the levels of the fibrosis markers collagen I, collagen III, scleraxis, tenascin C, and α‐smooth muscle actin. Furthermore, vascular endothelial growth factor A (VEGFA) expression was higher in TDSC‐derived exosomes than in TDSCs, and genetic knockdown of VEGFA suppressed the stimulatory effect of TDSC‐derived exosomes on tenocyte development. Overall, these results demonstrate that VEGFA‐enriched exosomes isolated from TDSCs promote differentiation and migration of cultured tenocytes and their transition to a fibroblastic phenotype. These data provide a new potential clinical treatment strategy for tendon injury.
Vascular Closure Devices versus Manual Compression in Cardiac Interventional Procedures: Systematic Review and Meta-Analysis
Authors: Pang Naidong , Gao Jia , Zhang Binghang , Guo Min , Zhang Nan , Sun Meng , Wang Rui
Published: September 2022

Backgrounds. Manual compression (MC) and vascular closure device (VCD) are two methods of vascular access site hemostasis after cardiac interventional procedures. However, there is still controversial over the use of them and a lack of comprehensive and systematic meta-analysis on this issue. Methods. Original articles comparing VCD and MC in cardiac interventional procedures were searched in PubMed, EMbase, Cochrane Library, and Web of Science through April 2022. Efficacy, safety, patient satisfaction, and other parameters were assessed between two groups. Heterogeneity among studies was evaluated by I2 index and the Cochran Q test, respectively. Publication bias was assessed using the funnel plot and Egger’s test. Results. A total of 32 studies were included after screening with inclusion and exclusion criteria (33481 patients). This meta-analysis found that VCD resulted in shorter time to hemostasis, ambulation, and discharge (p<0.00001). In terms of vascular complication risks, VCD group might be associated with a lower risk of major complications (p=0.0001), but the analysis limited to randomized controlled trials did not support this result (p=0.68). There was no significant difference in total complication rates (p=0.08) and bleeding-related complication rates (p=0.05) between the two groups. Patient satisfaction was higher in VCD group (p=0.002). Meta-regression analysis revealed no specific covariate as an influencing factor for above results (p>0.05). Conclusions. Compared with MC, the use of VCDs significantly shortens the time of hemostasis and allows earlier ambulation and discharge, meanwhile without increase in vascular complications. In addition, use of VCDs achieves higher patient satisfaction and leads cost savings for patients and institutions.
Dihydroartemisinin Attenuated Intervertebral Disc Degeneration via Inhibiting PI3K/AKT and NF-κB Signaling Pathways
Authors: Liao Zhiheng , Su Deying , Liu Hengyu , Xu Caixia , Wu Jinna , Chen Yuyu , Guo Weimin , Zhang Shun , Li Zhuling , Ke Xiaona , Wang Tingting , Zhou Taifeng , Su Peiqiang
Published: September 2022

Intervertebral disc degeneration (IDD) is the leading cause of low back pain (LBP). However, effective therapeutic drugs for IDD remain to be further explored. Inflammatory cytokines play a pivotal role in the onset and progression of IDD. Dihydroartemisinin (DHA) has been well reported to have powerful anti-inflammatory effects, but whether DHA could ameliorate the development of IDD remained unclear. In this study, the effects of DHA on extracellular matrix (ECM) metabolism and cellular senescence were firstly investigated in nucleus pulposus cells (NPCs) under tumor necrosis factor alpha (TNFα)-induced inflammation. Meanwhile, AKT agonist sc-79 was used to determine whether DHA exerted its actions through regulating PI3K/AKT and NF-κB signaling pathways. Next, the therapeutic effects of DHA were tested in a puncture-induced rat IDD model. Finally, we detected the activation of PI3K/AKT and NF-κB signaling pathways in clinical degenerative nucleus pulposus specimens. We demonstrated that DHA ameliorated the imbalance between anabolism and catabolism of extracellular matrix and alleviated NPCs senescence induced by TNFα in vitro. Further, we illustrated that DHA mitigated the IDD progression in a puncture-induced rat model. Mechanistically, DHA inhibited the activation of PI3K/AKT and NF-κB signaling pathways induced by TNFα, which was undermined by AKT agonist sc-79. Molecular docking predicted that DHA bound to the PI3K directly. Intriguingly, we also verified the activation of PI3K/AKT and NF-κB signaling pathways in clinical degenerative nucleus pulposus specimens, suggesting that DHA may qualify itself as a promising drug for mitigating IDD.
Experimental Study on the Aerodynamic Characteristics of Blades at the Last Stage of a Steam Turbine at Off-Design Conditions
Authors: Liu Yunfeng , Jia Qiankun , Zhou Xun , Zhang Hongtao , Li Yufeng , Wang Zhongqi , Du Wei
Published: September 2022

Experimental investigations have been carried out on the flow characteristics of the last stage long blades operating under off-design conditions. A model turbine test rig similar to a small power station was applied. The last stage blades with a scaling factor of 1 : 4.8 was used for pneumatic experiments. The rotor blade height was 375 mm, and the rotation speed was set to 7200 rpm. Five volumetric flow coefficients were utilized, corresponding to

φ

=0.61, 0.77, 0.92, 1.02, and 1.15. Pneumatic probes were used to focus on measuring pressures and swirl angles. The variation of different pneumatic parameters along the span and circumferential direction was investigated. The change patterns of the three-dimensional aerodynamic characteristics of the last stage blades during the off-design conditions were revealed. Results indicated that there was a high correlation between the variation of pneumatic parameters and different off-design conditions. In particular, the large meridional expansion angle at the tip led to abrupt changes in the inlet parameters, and the overlap even occupied by 17% blade height. Due to the influence of the exhaust hood, the circumferential static pressure-unevenness was up to 77.8% at the last stage outlet.
Diagnostic Values of Advanced Glycation End Products and Homocysteine in Patients with Alzheimer’s Disease and Sarcopenia
Authors: Zhang Xuelian , Meng Yunxia , Zhang Weiwei , Shi Luhang , Liu Xia , Zhang Lijuan , Liu Qiaoling
Published: September 2022

This study is aimed at exploring the diagnostic value of advanced glycation end products (AGEs) and homocysteine (Hcy) in Alzheimer’s disease (AD) complicated with sarcopenia (SP) and to analyze the risk factors related to AD complicated with SP. A total of 168 patients admitted to our hospital from November 2019 to December 2021 were enrolled. Patients were divided into the NC (no SP and AD) group with 29 cases, the AD group with 39 cases, the AD+SP group with 35 cases, and the SP group with 65 cases. The general information, Mini-Mental State Examination (MMSE) scores, and serum levels of AGEs and Hcy among the four groups were compared. Unordered logistic regression was used to analyze the influencing factors of SP patients complicated with dementia. The AGE level was higher in the AD or AD+SP group than the NC or SP group (

P
<
0.05

). There was no significant difference between the SP group and the NC group or between the AD group and the AD+SP group (

P
>
0.05

). The Hcy level was higher in the SP or AD group than the NC group (

P
<
0.05

). There were no significant differences between the AD group and NC group or between the SP group and AD+SP group (

P
>
0.05

). The ROC curve of serum AGEs and Hcy for the diagnosis of AD showed that the area under curve (AUC) was 0.887,

P
<
0.05

(95% CI: 0.821-0.954, sensitivity: 80.95%, specificity: 73.81%) and 0.7423,

P
<
0.05

(95% CI: 0.6382-0.8465, sensitivity: 60.42%, specificity: 57.59%), respectively. The ROC curve of serum AGEs and Hcy for the diagnosis of SP showed that the AUC was 0.5533,

P
>
0.05

(95% CI: 0.4294-0.6771) and 0.8744,

P
<
0.05

(95% CI: 0.8006-0.9483). Age (

P
<
0.001

), depression (

P
=
0.001

), malnutrition (

P
=
0.002

), and BMI (

P
<
0.001

) were independent influencing factors of SP complicated with AD in elderly inpatients. In conclusion, combined serum AGEs and Hcy had a good diagnostic value for AD combined with SP, which may be helpful for early detection of patient condition.
Landscape Creation of Children’s Outdoor Activity Space in Urban Residential Areas Based on Child Psychology Analysis
Authors: He Xueqian , Nordin Jestin
Published: September 2022

The investigation of the unidentified world and the restriction field has intensified as the application concept of Artificial Intelligence (AI) continues to expand, due to which lifestyle of people and manufacturing modes have also changed dramatically. Based on these revolving trends, this work examines AI and studies children’s outdoor spaces from the perspective of their behavioral psychology. Furthermore, based on the analysis of text information, this study first defines the relevant concepts, then studies the characteristics and composition of children’s psychology and behavior, their habits, and activity space, respectively. In addition, this study interprets the excellent case design of children’s outdoor activity space at home and abroad from the perspective of behavioral psychology to provide a theoretical basis and design a reference for the design of children’s outdoor activity space. Besides, a survey of children’s residential areas analyzes the current situation and problems of children’s outdoor activity spaces and explores their renovation. Finally, using the author’s participation in the design of children’s outdoor activity spaces in residential neighborhoods as an example, it relates theory to practice. It studies and discusses the planning and design of children’s outdoor activity spaces by constructing an outdoor activity space under children’s behavior and psychology.
In Vitro α‐Glycosidase Inhibition and In Silico Studies of Flavonoids Isolated from Pistacia integerrima Stew ex Brandis
Authors: Hemeg Hassan A. , Rauf Abdur , Rashid Umer , Muhammad Naveed , Al-Awthan Yahya S. , Bahattab Omar S. , Al-Duais Mohammed A. , Shah Syed Uzair Ali
Published: September 2022

The galls of Pistacia integerrima are used in folk medicine for curing diabetes. The main aim of this study was the purification of flavonoids from galls of P. integerrima. The methanolic extract was subjected to column chromatographic analysis which afforded six flavonoids, namely, 3,5,7,4′‐tetrahydroxy‐flavanone (1), naringenin (2), 3,5,4′‐trihydroxy,7‐methoxy‐flavanone (3), sakuranetin (4), spinacetin (5), and patuletin (6). These isolated compounds (1–6) were tested against α‐glycosidase. The maximum antagonistic effect was noted against compound 6 (97.65%) followed by compound 5 (90.42%) and compound 1 (90.01%) at the same concentration (0.2 μg). The inhibitory potential of all tested compounds was significant with a degree of variation from each other. Docking studies showed that all studied compounds interact with the active site residues via hydrogen bond interactions with hydroxyl groups, and thus, inhibition was enhanced. Hence, this finding would be the first screening of isolated flavonoids for α‐glycosidase activity and with the mechanism of action. These flavonoids should be further investigated as candidate drugs for combating diabetes mellitus.
Joint Event Relation Identification Based on Multiscale Convolutional Neural Network and Sharing Strategy
Authors: Zhang Yi , Cao Wanhua , Wang Yuanbin , Liu Juntao , Chen Yongqi , Wei Xiao
Published: September 2022

At present, most of the event relation identification work mainly focuses on the sequential temporal and explicit causal relation between events. These methods usually ignore the role of synchronous temporal and implicit causal relation in sentences, which makes the semantic understanding of the model deviate from the text. In this paper, we propose a joint event relation identification model. The model uses bidirectional GRU and multiscale convolutional neural network to obtain the context semantic features and multiscale local semantic features of text, respectively. Then, these two kinds of features are fused to fully obtain the semantics of the text itself. In addition, we build encoders and decoders of event temporal and causal relation, respectively, to obtain the event temporal and causal semantic features from text. In this process, considering the correlation between event timing and causality, we use three different parameter sharing strategies to realize the interaction between event temporal and causal semantic features. The experimental results on the legal field dataset we constructed show that our model has made significant improvements compared with the baseline model. Through experimental analysis, our method can effectively improve the identification performance of synchronous temporal and implicit causality relation.
Construction of Prediction Model of Ecological Forestry Economic Development Trend Based on Deep Belief Network
Authors: Cao Fangning
Published: September 2022

With the rapid development of economy, environmental problems become more and more serious, and people begin to pay attention to ecological construction. Forestry is an important industry related to the long-term survival and development of mankind. It undertakes the important tasks of forest product supply and ecological construction. Therefore, the quality of its development has a direct impact on all aspects of ecological economic construction. It is related to China’s ecological construction and sustainable development and plays an important role in social development. The corresponding evaluation index system and evaluation model were established to deeply analyze the economic development trend of ecological forestry system. It has certain guiding significance to provide theoretical guidance for the future development direction of ecological forestry.
Differential Biopsy Patterns Influence Associations between Multivitamin Use and Prostate Cancer Risk in the Selenium and Vitamin E Cancer Prevention Trial
Authors: Schenk Jeannette M. , Till Cathee , Neuhouser Marian L. , Goodman Phyllis J. , Lucia M. Scott , Thompson Ian M. , Tangen Catherine M.
Published: September 2022

Background:

Multivitamin (MVI) use is a common health behavior but there is conflicting evidence from prospective studies about whether this behavior increases or decreases prostate cancer risk.

Methods:

Associations of MVI use and prostate cancer risk were evaluated using data from the Selenium and Vitamin E Cancer Prevention Trial (SELECT). Cox proportional hazards models estimated associations of MVI use with risk of total, low-, and high-grade prostate cancer. Longitudinal data were used to evaluate screening and biopsy patterns. To account for differential biopsy patterns, the probability of prostate cancer was estimated for men with a positive screening value but no biopsy. Incidence density ratios were used to approximate HRs, and associations of MVI use with predicted prostate cancer risk were compared with observed.

Results:

Analyses of data from observed biopsies suggest a respective 19% (95% confidence interval, 10%–28%) and 21% (12%–31%) higher risk of high-grade prostate cancer for current and long-term MVI use, compared with no use. Current and long-term MVI use was associated with a shorter time to first on-study biopsy, indicating the potential for detection bias. After accounting for differential acceptance of biopsy, associations of MVI use with prostate cancer were attenuated and not statistically significant.

Conclusions:

In SELECT, biopsy acceptance patterns differed by MVI use. Estimates of associations of MVI use with prostate cancer risk based on observed biopsy data may be biased by differential acceptance of biopsy.

Impact:

Differential biopsy ascertainment may impact associations of risk factors and prostate cancer. Detailed screening and biopsy data can be used to analytically minimize such bias.
Time to Optimize Deescalation Strategies in Triple-Negative Breast Cancer?
Authors: Sharma Priyanka
Published: September 2022

Pathologic response serves as a tool to optimize escalation and deescalation of adjuvant treatment. Neoadjuvant carboplatin–taxane combination is a promising chemotherapy deescalation strategy for triple-negative breast cancer. Many key points, such as trial design/patient selection, response biomarkers, role of immunotherapy, and patient advocate input, will have to be carefully considered in order to advance neoadjuvant chemotherapy deescalation investigations.

See related article by Gluz et al., p. 4995
PD-1/PD-L1 Inhibition Enhances Chemotherapy-Induced Neuropathic Pain by Suppressing Neuroimmune Antinociceptive Signaling
Authors: Wanderley Carlos Wagner S. , Maganin Alexandre G.M. , Adjafre Beatriz , Mendes Atlante S. , Silva Conceição Elidianne Anibal , Quadros Andreza Urba , Luiz João Paulo Mesquita , Silva Camila Meirelles S. , Silva Nicole R. , Oliveira Francisco Fabio Bezerra , Gomes Francisco Isaac F. , Restrepo Jeferson Leandro J. , Speck-Hernandez Cesar A. , Turaça Fernanda , Silva Gabriel Victor Lucena , Pigatto Glauce R. , Nakaya Helder I. , Mota Jose Mauricio , Barroso-Sousa Romualdo , Alves-Filho José C. , Cunha Thiago M. , Cunha Fernando Q.
Published: September 2022

Cytotoxic agents synergize with immune checkpoint inhibitors and improve outcomes for patients with several cancer types. Nonetheless, a parallel increase in the incidence of dose-limiting side effects, such as peripheral neuropathy, is often observed. Here, we investigated the role of the programmed cell death-1 (PD-1)/programmed death-ligand 1 (PD-L1) axis in the modulation of paclitaxel-induced neuropathic pain. We found that human and mouse neural tissues, including the dorsal root ganglion (DRG), expressed basal levels of PD-1 and PD-L1. During the development of paclitaxel-induced neuropathy, an increase in PD-L1 expression was observed in macrophages from the DRG. This effect depended on Toll-like receptor 4 activation by paclitaxel. Furthermore, PD-L1 inhibited pain behavior triggered by paclitaxel or formalin in mice, suggesting that PD-1/PD-L1 signaling attenuates peripheral neuropathy development. Consistent with this, we observed that the combined use of anti–PD-L1 plus paclitaxel increased mechanical allodynia and chronic neuropathy development induced by single agents. This effect was associated with higher expression of inflammatory markers (Tnf, Il6, and Cx3cr1) in peripheral nervous tissue. Together, these results suggest that PD-1/PD-L1 inhibitors enhance paclitaxel-induced neuropathic pain by suppressing PD-1/PD-L1 antinociceptive signaling.
Supplemental Oxygen Treats Periodic Breathing without Effects on Sleep in Late-Preterm Infants
Authors: Seppä-Moilanen Maija , Andersson Sture , Kirjavainen Turkka
Published: September 2022

Background: The effect of supplemental oxygen on sleep has not been studied in preterm infants. Methods: We studied 18 stable late-preterm infants with observed periodic breathing at a median gestational age of 36 weeks. Polysomnography was performed on room air and on 25% oxygen-enriched ambient air. Results: Supplemental oxygen did not affect sleep stage distribution, sleep efficiency, the frequency of sleep stage transitions, the appearance of rapid-eye movement (REM) sleep periods, or the high number of spontaneous arousals. The percentage in periodic breathing out of total sleep time decreased from 10% (interquartile range [IQR] 5–9%) on room air to 1% (IQR 0–3%) (p < 0.001) on supplemental oxygen. Also, the number of central apneas decreased from 48 (IQR 32–68) to 23 (IRQ 15–32) per hour (p < 0.001), and the number of oxygen desaturations of a minimum 3% from 38 (IQR 29–74) to 10 (IQR 5–24) per hour (p < 0.001). On room air in non-REM sleep, the median end-tidal carbon dioxide values were systematically lower during periodic breathing at 5.1 (IQR 4.6–6.4) kPa than during stable breathing at 5.5 (4.9–5.9) kPa (p < 0.0001). Conclusions: In late-preterm infants, supplemental oxygen effectively reduces periodic breathing and the number of oxygen desaturations while having no significant effect on sleep. The results support the importance of carotid body over-reactivity on the genesis of periodic breathing in preterm infants.
Secondary Tumors Arising from Nevus Sebaceus: A Multicenter Collaborative Study and Literature Review
Authors: Ye Qian , Wu Qian , Jia Meng , Li Feng-Zeng , Fang Sheng
Published: September 2022

Background: Although various benign and malignant tumors can arise in nevus sebaceus (NS), the demographic and clinicopathological features of the secondary tumors vary among different published reports. The aim of this study was to obtain a better understanding of the features of tumors secondary to NS. Methods: A multicenter study was performed by reviewing patients diagnosed with NS from the Dermatology Department of the First Affiliated Hospital of Chongqing Medical University and Qijiang Hospital of the First Affiliated Hospital of Chongqing Medical University from 2010 to 2022. A literature review of case series of secondary tumors arising in NS was also conducted. Results: We retrospectively analyzed the literature on tumors secondary to NS published since 2000, with a total of 443 cases, and carefully studied cases of tumors arising in NS from multiple centers since 2010, with a total of 54 cases. There were 497 cases in this study; 90.3% were benign tumors (n = 449), and the rest were malignant tumors (9.7%, n = 48). Syringocystadenoma papilliferum was the most common benign tumor, followed by trichoblastoma and trichilemmoma. Basal cell carcinoma was the most common secondary malignant tumor to NS, followed by squamous cell carcinoma. Two of these cases developed metastasis. Secondary malignancies developed at an earlier age in Caucasians than in Hispanics and Asians. Conclusion: The present study is the largest analysis of tumors secondary to NS. Racial differences were seen in secondary tumors to NS and may contribute to healthcare disparities between races.