bluuebunny/crossref_metadata_2025 huggingface dataset:
Palaeoclimatic and diagenetic controls based on clay mineralogy and organic matter distribution: The continental rift Cuyo Basin (Triassic), west‐central Argentina
Authors: Salduondo Joaquín , Comerio Marcos , Pineda Juan A. , Cravero Fernanda , Erra Georgina
Published: June 2022

The Triassic Cuyo rift Basin is one of the renowned petroleum systems in South America that records distinctive alluvial, lacustrine and fluvial settings with volcanic input. The present study focuses on the clay mineral assemblages that represent the syn‐rift to post‐rift fills. Four clay mineral assemblages are defined based on X‐ray diffraction, optical and electron microscopy analyses. The illite/mica‐dominated assemblage is documented in the syn‐rift I (Cerro de las Cabras Formation). Such mineral phases are inherited and derived from the erosion of pre‐rift units, suggesting that physical weathering associated with a warm and semi‐arid climate played a leading role in their occurrence. Authigenic smectite clays are diagnostic in organic‐lean mudstones of the syn‐rift II (lower Potrerillos Formation) which point to alteration of pyroclastic material under a warm and semi‐arid to humid climate. A warm and humid climate prevailed during the deposition of lacustrine hydrocarbon source rocks (upper Potrerillos and Cacheuta formations). Organic‐rich mudstones show the illite/mica–kaolinite–smectite assemblage in conjunction with amorphous organic matter and restricted terrigenous elements. Diagenetic kaolinite booklets and bipyramidal quartz are attributed to the acidification of pore‐water related to kerogen transformation during burial diagenesis. Vitrinite reflectance values (ca 0.63%) confirm that organic‐rich sediments reached the earliest oil window; however, smectite is devoid of illite layers throughout the Triassic succession, probably related to the absence of potassium in the system and the high crystallinity of the smectite, which delayed the transformation of smectite into mixed layers illite–smectite. Red mudstones of the post‐rift II (the fluvial‐lacustrine Rio Blanco Formation) show the kaolinite‐dominated assemblage where the authigenic kaolinite is interpreted to be derived from the alteration of volcaniclastic detritus and indicative of warm climate with markedly wet periods.
Dynamic visualization of ultraviolet dose on skin with sunscreen applied using minimum erythema dose
Authors: Li Zhi , Kim Min Ah , Kim Eunjoo , Jung Yu Chul , Kim Jay J. , Shin Hyoung‐Sub
Published: June 2022

Background

Visualizing the ultraviolet (UV) dose on skin serve as an intuitive approach to ensure appropriate sunscreen usage and reduce the risk of erythema. UV dose is determined by a number of external factors, such as properties of sunscreens, weather, and type of outdoor activity. We propose a framework for visualizing UV doses that considers various external factors.

Materials and methods

First, the skin of a three‐dimensional human model was represented using triangular meshes, and various static postures and dynamic motions were simulated to express outdoor activities. Then, we evaluated the persistency and insufficiency properties of sunscreen, which are time dependent and directly affect the effectiveness of the sunscreen skin protection factor (SPF) during UV exposure. Finally, to calculate the UV dose in real time, we tracked the trajectory of the sun and motion of the skin while considering the time‐dependent properties of sunscreen.

Results

An S/W system was implemented based on the proposed framework to visualize the distribution of UV doses through dynamic color changes in exposed skin areas. The color types include true colors, which represent the minimum erythema dose (MED), and pseudo colors representing states before 1 MED is reached. We devised various examples to discuss the usability of the proposed framework.

Conclusion

The system conveniently displays the MED according to an individual's skin phototype. When the properties of a wide range of commercial sunscreens are added to the system database, it is expected that the rate of appropriate sunscreen usage by customers will increase.
Short‐term kidney transplant outcomes from severe acute respiratory syndrome coronavirus 2 lower respiratory tract positive donors
Authors: Sanchez‐Vivaldi Jorge A. , Patel Madhukar S. , Shah Jigesh A. , Wang Benjamin K. , Salcedo‐Betancourt Juan D. , Hwang Christine S. , Wojciechowski David , La Hoz Ricardo M. , Vagefi Parsia A.
Published: June 2022

Objective

In this study, we aim to assess short‐term allograft outcomes following deceased donor kidney transplantation from severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) lower respiratory tract (LRT) nucleic acid testing (NAT) positive donors.

Methods

From September to December 2021, SARS‐CoV‐2 NAT positive organ donors, whose solid abdominal organs were transplanted at our academic medical center were identified. Donors were stratified into having tested positive for SARS‐CoV‐2 in an upper respiratory tract (URT) or LRT sample. For this study, the SARS‐CoV‐2 LRT NAT positive deceased kidney donors and their respective recipients were examined. Donor and recipient demographic data, coronavirus disease 2019 (COVID‐19)‐related history, patient outcomes, as well as postoperative graft function were evaluated.

Results

Thirteen SARS‐CoV‐2 positive deceased donors were identified. Of these, eight were LRT NAT positive and yielded nine kidneys. These allografts were successfully transplanted into vaccinated and unvaccinated recipients. All recipients received standard induction immunosuppression and did not receive any prophylactic therapy for SARS‐CoV‐2. Two recipients had delayed graft function. At 1‐month post‐transplant, there was no clinical evidence of donor‐derived COVID‐19 or graft loss, and all recipients were free from dialysis.

Conclusion

We describe the first case series of SARS‐CoV‐2 LRT NAT positive deceased kidney donors for vaccinated and unvaccinated recipients with excellent short‐term allograft outcomes and no clinical evidence of donor‐derived COVID‐19 post‐transplantation. Given the increasing prevalence of SARS‐CoV‐2 in the population, utilization of SARS‐CoV‐2 LRT NAT positive deceased donors could be considered an acceptable source of organs for renal transplantation, especially as multi‐center experiences and longer‐term follow‐up emerge.

image
Towards smart and sustainable development of modern berry cultivars in Europe
Authors: Senger Elisa , Osorio Sonia , Olbricht Klaus , Shaw Paul , Denoyes Béatrice , Davik Jahn , Predieri Stefano , Karhu Saila , Raubach Sebastian , Lippi Nico , Höfer Monika , Cockerton Helen , Pradal Christophe , Kafkas Ebru , Litthauer Suzanne , Amaya Iraida , Usadel Björn , Mezzetti Bruno
Published: June 2022

Fresh berries are a popular and important component of the human diet. The demand for high‐quality berries and sustainable production methods is increasing globally, challenging breeders to develop modern berry cultivars that fulfill all desired characteristics. Since 1994, research projects have characterized genetic resources, developed modern tools for high‐throughput screening, and published data in publicly available repositories. However, the key findings of different disciplines are rarely linked together, and only a limited range of traits and genotypes has been investigated. The Horizon2020 project BreedingValue will address these challenges by studying a broader panel of strawberry, raspberry and blueberry genotypes in detail, in order to recover the lost genetic diversity that has limited the aroma and flavor intensity of recent cultivars. We will combine metabolic analysis with sensory panel tests and surveys to identify the key components of taste, flavor and aroma in berries across Europe, leading to a high‐resolution map of quality requirements for future berry cultivars. Traits linked to berry yields and the effect of environmental stress will be investigated using modern image analysis methods and modeling. We will also use genetic analysis to determine the genetic basis of complex traits for the development and optimization of modern breeding technologies, such as molecular marker arrays, genomic selection and genome‐wide association studies. Finally, the results, raw data and metadata will be made publicly available on the open platform Germinate in order to meet FAIR data principles and provide the basis for sustainable research in the future.
Just Copy and Paste? Usage and Patterns of Social Media Sources in Online Articles on Sport
Authors: Oelrichs Inga
Published: June 2022

Information sourcing in sports journalism changes with the process of news curation on the internet. In particular, social media is an important source for sports reporters, as athletes and organizations post content on a regular basis. Although how sports journalists use social media in their daily work routines has already been investigated, there is little knowledge on how social media is used as a source in sports reporting. However, with regard to a possible copy-and-paste trend and an impeding loss of relevance of journalistic content, results pertaining to the use of social media as a source would be helpful to evaluate journalistic output. By conducting a quantitative content analysis of 3,150 online articles of three German sports news providers, this author investigated the number and patterns of social media sources in journalistic articles. The results reveal, inter alia, that social media is crucial for human interest stories on athletes.
Comparing Functional Motor Control Exercises With Therapeutic Exercise in Wrestlers With Iliotibial Band Syndrome
Authors: Jahanshahi Mojtaba , Nasermelli Mohammad Hossein , Baker Robert L. , Rabiei Pouya , Moen Maarten , Fredericson Michael
Published: June 2022

Context: Iliotibial band syndrome (ITBS) is a common overuse injury in runners with parallels to our findings of overuse in Greco Roman wrestlers. Despite research indicating coordination and movement-based factors about the hip, no studies were found using functional motor control (FMC) in runners or wrestlers with ITBS. Thus, we compared FMC exercises and therapeutic exercises (TEs) on pain, function, muscle strength, and range of motion (ROM) in national-level Greco Roman wrestlers with ITBS. Design: Controlled laboratory study. Methods: Sixty national-level Greco Roman wrestlers diagnosed with ITBS were randomly assigned to 8 weeks of FMC exercises, TE, and a control group (20 individuals for each group). Pain (visual analog scale), function (triple hop test for distance, single-leg vertical jump test, and agility T test), muscle strength (handheld dynamometer), and ROM (goniometer) were measured at baseline and 8 weeks after intervention as posttest. Results: Although both interventions significantly reduced pain (P < .001, η2 = .87), improved function (triple hop test P = .004, η2 = .94; single-leg vertical jump P = .002, η2 = .93; and T test P < .001, η2 = .93) and strength (hip abduction (P < .001, η2 = .52), hip external rotation (P = .02, η2 = .95), knee flexion (P ≤ .001, η2 = .94), and knee extension (P < .001, η2 = .91) compared with the control group, FMC showed more significant improvements in comparison with TE. Significant differences (P = .001) were observed between FMC and TE compared with the control group in ROM outcome. However, TE was more effective than FMC in improving ROM hip abduction (P < .001, η2 = .93), hip adduction (P = .000, η2 = .92), hip internal rotation (P < .001, η2 = .92), and hip external rotation (P < .001, η2 = .93). Conclusion: FMC exercises were superior to TE in terms of pain, function, and muscle strength, whereas TE was more effective for improving ROM. FMC exercise is suggested as an effective intervention for improvement of the outcomes related to ITBS in national-level Greco Roman wrestlers.
Environmental Consequences of the Transformation of the Sectoral Structure of the Economy of Russian Regions and Cities in the Post-Soviet Period
Authors: Bityukova V. R.
Published: June 2022

Abstract—

The transformation of the environmental situation in the course of post-Soviet changes in Russia’s economic is considered from the standpoint of structural features and dynamics of industrial production, GRP, and energy output. A multiscale (country–regions–cities) comprehensive assessment of the transformation of the environmental situation due to changes in the territorial and sectoral structure of the economy of Russia, its regions, and cities was carried out. Factors and spatiotemporal patterns in the dynamics and structural characteristics of the environmental situation during periods of crises and economic growth are revealed. The comprehensive index of anthropogenic impact is used to assess the dynamics and variability of the environmental situation in Russian regions and cities: a general decrease in most environmental indicators identified, as well as a gradual leveling of regional shares and increased localization of the impact in individual cities versus a general slowdown in economic growth. Gradual weakening of the role of industrial specialization in the environmental situation and simplification of the structure of types of impact within regions are shown. The highest level of discrepancy between economic development trends and the integral load indicator is typical of regions with the highest level of impact; the highest degree of dependence is typical of agrarian or agroindustrial regions, as well as for regions where one of the key sources of pollution is fuel energy production with coal predominant in the fuel balance structure. In general, the trends of changes in the environmental situation in regions are smoother than in cities. The more diversified the region’s economy, the smaller the range of fluctuations of the comprehensive index of anthropogenic impact; the more developed a large-city settlement pattern, the more complex and diverse the factors of the regional environmental situation.
Semianalytical Approach for the Approximate Solution of Delay Differential Equations
Authors: Luo Xiankang , Habib Mustafa , Karim Shazia , Wahash Hanan A.
Published: June 2022

In this analysis, we develop a new approach to investigate the semianalytical solution of the delay differential equations. Mohand transform coupled with the homotopy perturbation method is called Mohand homotopy perturbation transform method (MHPTM) and performs the solution results in the form of series. The beauty of this approach is that it does not need to compute the values of the Lagrange multiplier as in the variational iteration method, and also, there is no need to implement the convolution theorem as in the Laplace transform. The main purpose of this scheme is to reduce the less computational work and the error analysis of the problems than others studied in the literature. Some illustrated examples are interpreted to confirm the accuracy of the newly developed scheme.
Application of IOT in Exploring the Development Path of the Whole Agricultural Industry Chain under the Perspective of Ecological Environment
Authors: Wang Jing
Published: June 2022

The green development of the entire agricultural industry chain is not only an important way to enhance the competitiveness of agricultural products and promote the value-added of the agricultural industry but also an inevitable choice to improve the efficiency of resource utilization and ensure sustainable economic development from the perspective of the ecological environment. This paper defines the connotation and characteristics of the green development of the whole agricultural industry chain and deeply analyzes the development status, major challenges, and feasible paths of the whole agricultural industry chain in China. It has built a whole industry chain development model of “Internet + modern agriculture” and proposed a decentralized agricultural data management system based on the IoT to solve the problem of untraceable of traditional agricultural products and other data. The agricultural IoT system is designed with a unique blockchain double-chain structure, using the global hash chain and the mutual verification between the transaction chains in each partition. It proposes the PMCP protocol, which improves the performance of the system by producing blocks in parallel for several consensus groups in each consensus cycle. The experimental results show that the proposed model is queryable, traceable, and trustworthy for whole-life agricultural data, and the proposed model outperforms other schemes in terms of throughput and delay.
The Correlation between Enterprise Internal Control Quality and Research and Development Investment Intensity
Authors: Hu Sheng , Yang Huiling
Published: June 2022

Innovation is the driving force behind enterprise development. Improving the quality of the internal control of enterprises and increasing the intensity of R&D investment are important ways to enhance the level of scientific and technological innovation. Based on the data of Shanghai and Shenzhen A-share listed companies from 2010 to 2019, in this paper, we empirically examine the correlation between the quality of internal control and the intensity of R&D investment by using the level of corporate cash holdings as an intermediary variable. We find that high internal control quality can improve cash-holding level and that improving cash-holding level will increase R&D investment intensity. That is, cash-holding level has a mediating effect between internal control quality and R&D investment intensity, while internal control quality can have a direct or indirect positive effect on R&D investment. Accordingly, this study has important theoretical significance and practical value for enterprises that seek to promote R&D innovation and improve their internal control.
Evaluation of Emerging Product Design Scheme Based on Multicriteria Decision-Making
Authors: Huang Chenhan , Shi Daijiao
Published: June 2022

With the development of China’s economy and the affluence of people’s material life, there are more and more kinds of products around us. People have more and more kinds of products to choose from in similar needs, so the competition between similar products is becoming more and more fierce. In order to better win the competition, the current emerging products not only cover the basic functions of the same kind at the beginning of design, but also include many additional functions that can help the product position among consumers. The focus of product design has gradually changed from functional needs to emotional needs, so the product design method based on emotional needs has gradually attracted more and more attention. However, the traditional product design methods have some limitations in data research, product design scheme visualization and decision-making, and lack of theoretical support and data support. Aiming at the background of this problem, this paper studies and evaluates the design scheme of emerging products based on multi-criteria decision-making technology and big data analysis.
Aging-Related Endothelial Progenitor Cell Dysfunction and Its Association with IL-17 and IL-23 in HFmrEF Patients
Authors: Zeng Lijin , Zhang Cong , Cai Guoyi , Zhang Bin , Huang Zixia , Wu Mingyue , Zhu Yuanting , Luo Liang , He Hao , Yang Zhen
Published: June 2022

Background. Aging is an independent risk factor for heart failure (HF), and endothelial progenitor cell (EPC) function decreases with aging. Here, we further investigated whether age has a detrimental effect on circulating EPC function in HF with mildly reduced ejection fraction (HFmrEF) and its relationship with systemic inflammation. Methods. 58 HFmrEF patients were recruited. The adhesive, migrative, and proliferative activities of circulating EPCs, MAGGIC scores, and plasma interleukin (IL)-17 and IL-23 levels of these patients were assessed. Results. Older patients with HFmrEF had higher MAGGIC scores and lower circulating EPC adhesion, migration, and proliferation than younger patients. The similar tendency was observed in plasma IL-17 and IL-23 levels. The EPC functions were negatively associated with MAGGIC scores and plasma IL-17 or IL-23 levels. Conclusions. In patients with HFmrEF, aging leads to attenuated circulating EPC function, which is correlated with disease severity and systemic inflammation. The present investigation provides some novel insights into the mechanism and intervention targets of HFmrEF.
Peripheral Blood Inflammatory Markers Can Predict Benign and Malignant Thyroid Nodules
Authors: Deng Yuanyuan , Zhang Jie , Zou Guilin , Li Shanshan , Gong Zhaoxia , Yue Guanru , Fan Ping , Xu Jixiong
Published: June 2022

Objective. Inflammation is related to the occurrence and development of various cancers. This study was designed to explore the role of peripheral blood platelet count, neutrophil-lymphocyte ratio (NLR), platelet count-lymphocyte count ratio (PLR), systemic inflammation index (SII), and other inflammatory markers in predicting benign and malignant Thyroid Imaging Reporting and Data System (TI-RADS) grade 3 thyroid nodules. Methods. In this retrospective study, 514 patients with TI-RADS grade 3 thyroid nodules were enrolled. According to the pathological results, the patients were divided into the benign and malignant nodule groups. We compared the clinical characteristics between the two groups and analysed the influencing factors for malignant thyroid nodules by univariate and stepwise multivariate logistic regression analyses and then analysed the cutoff value of each influencing factor according to the receiver operating characteristic curve. Results. The leukocyte count, neutrophil count, platelet count, NLR, PLR, and SII of the malignant nodule group were significantly higher than those of the benign nodule group (

P
<
0.05

), the age and the diameter of nodule of the malignant nodule group were significantly smaller than those of the benign nodule group (

P
<
0.05

). After excluding the influence of confounding factors, SII (odds ratio (OR) = 1.006; 95% confidence interval (CI) = 1.003–1.008;

P
<
0.001

), PLR (odds ratio (OR) = 0.981; 95% confidence interval (CI) = 0.981–0.992;

P
<
0.05

), leukocyte count (odds ratio (OR) = 0.654; 95% confidence interval (CI) = 0.466–0.892;

P
<
0.05

), and age (OR = 0.969; 95% CI = 0.954–0.985;

P
<
0.001

) were independent risk factors for malignant thyroid nodules, and the cutoff value of SII and PLR in predicting benign and malignant thyroid nodules were 545.63 × 109/L and 138.63. Conclusion. This study showed that peripheral blood SII, PLR, leukocyte count and age were independent risk factors for malignant thyroid nodules, and the combination of these can better predict benign and malignant thyroid nodules, which can further guide the diagnosis and treatment of TI-RADS grade 3 thyroid nodules.
Research on the Informatization Construction and Development Mode of Internal Control in Colleges and Universities Based on Game Model
Authors: Cheng Yuzhen
Published: June 2022

With the advancement of information technology, the informatization construction of internal control has evolved into crucial fundamental support for the construction of internal control in colleges and universities. The informatization construction of internal control is a systematic project of which the selection of software development mode is the key link. In this paper, a detailed analysis is carried out on the equilibrium strategy of the two parties in the game between the informatization construction department of internal control in colleges and universities as well as software development companies by establishing a game model and a software maintenance risk management model for both sides, in order to probe into the selection of the software development mode in colleges and universities. The model test and case study prove that the fully commissioned development mode is the optimal mode for the informatization construction of internal control in colleges and universities, and relevant suggestions are made. This research has provided sufficient theoretical support for the informatization construction of internal control in colleges and universities.
Robot Path Planning Based on an Improved Salp Swarm Algorithm
Authors: Cheng Xianbao , Zhu Liucun , Lu Huihui , Wei Jinzhan , Wu Ning
Published: June 2022

This paper demonstrates an improved version of the Salp Swarm Algorithm (SSA) to solve the problems of slow convergence and local minima of the original version. In the population initialization of this scheme, ten chaotic searches with dynamic inertia coefficients are introduced to increase the diversity so that the probability of being trapped in local minima is reduced. Genetic algorithms are then applied to improve the global search ability and convergence speed. The experiments with 12 test functions show that the improved version achieves better accuracy and convergence speed over the original SSA. In the test with robot path planning problem, the proposed algorithm shows improved performance in the average number of iterations, path length, and average number of turns by 69.2%, 19.1%, and 43%, respectively, compared with the original SSA.
New Framework of Self-Embedding Fragile Watermarking Based on Reference Sharing Mechanism
Authors: Huang Lin , Xiang Zhaoyang , Li Jian , Yao Heng , Qin Chuan
Published: June 2022

We proposed in this paper a new self-embedding framework based on a reference sharing mechanism. The framework has high flexibility; it can not only estimate the optimal recovered image quality based on a given tampering rate but also estimate the largest tampering rate that the framework can resist based on the given peak signal-to-noise ratio (PSNR) of the recovered image. When the tampering rate is given, we first calculate the largest number of character bits and then allocate an appropriate number of character bits according to the complexity of the image block to achieve the optimal recovered image quality. When the PSNR of the recovered image is given, the number of character bits is minimized by satisfying the corresponding constraints to achieve the largest tolerable tampering rate. Experimental results show the flexibility, effectiveness, and superiority of the proposed scheme compared with some reported schemes.
Smad7 Is Highly Expressed in Human Degenerative Discs and Participates in IL-1β-Induced Apoptosis of Rat AF Cells via the Mitochondria Pathway
Authors: Li Bo , Lu Ze-Yu , Jiang Sheng-Dan , Jiang Lei-Sheng , Zheng Xin-Feng
Published: June 2022

Background. Abnormal Smad7 expression can lead to apoptosis in different cell types. Previously, we found high expression of Smad7 in rat degenerative discs. However, the exact role of Smad7 in the apoptosis of disc cells and the possible underlying mechanism remain unclear. Methods. Degenerative and nondegenerative human lumbar intervertebral discs were collected from patients during operation. The expressions of SMAD7 mRNA and protein in the different components of these discs were measured with real-time PCR and Western blotting, respectively. Annulus fibrosus (AF) cells were isolated and cultivated from the discs of young healthy rats. Smad7 in the AF cells was overexpressed with adenovirus and knocked down with siRNA. IL-1β was used to induce apoptosis in the AF cells. Loss-and-gain cell function experiments were performed to show the effect of Smad7 on the apoptosis of AF cells. The function recovery experiments were performed to verify whether Smad7 regulates the apoptosis of AF cells through the mitochondria-mediated pathway. Results. Both the mRNA and protein expressions of Smad7 were significantly higher in the different components of human degenerative discs than in those of the nondegenerative discs. IL-1β stimulated apoptosis while upregulating the Smad7 expression in the AF cells in vitro. Overexpression of Smad7 in AF cells exaggerated the IL-1β-induced apoptosis in the cells while knockdown of Smad7 expression suppressed this apoptosis. With the exaggerated apoptosis in the AF cells with Smad7 overexpression, both active cleaved caspase-3 and cleaved caspase-9, the ratio of Bax/Bcl-2, and Cyt-c increased significantly. However, the inhibitor of caspase-9, Z-LEHD-FMK, significantly diminished the apoptosis in these cells. Conclusion. Smad7 is highly expressed in human degenerative discs and participates in IL-1β-induced apoptosis of rat AF cells via the mitochondria pathway. Smad7 may be a potential target for the prevention and treatment of degenerative disc disease.
Amazonian Guarana- and Açai-Conjugated Extracts Improve Scratched Fibroblast Healing and Eisenia fetida Surgical Tail Amputation by Modulating Oxidative Metabolism
Authors: Felin Fellipe D. , Maia-Ribeiro Ednea A. , Felin Carollina D. , Bonotto Nathália A. C. , Turra Bárbara O. , Roggia Isabel , Azzolin Verônica F. , Teixeira Cibele F. , Mastella Moisés H. , de Freitas Carolina Rodrigues , Greijanim Jaqueline , Santos Daniel , Flores Erico M. M. , Barbisan Fernanda , Cruz Ivana B. M. , Ribeiro Tiango A.
Published: June 2022

Background. Previous studies have suggested that guarana (Paullinia cupana) and açai (Euterpe oleracea) have antioxidant, anti-inflammatory, and proliferative properties, indicating their potential therapeutic action in wound healing. We produced a conjugated guarana-açai (GA) extract and tested its healing action on earthworms (Eisenia fetida) subjected to tail amputation by surgical incision. Methods. Extract from roasted guarana seeds and fresh açai seed berries was produced. The antioxidant and genoprotective capacity of GA extract was tested. The concentration with the most remarkable healing potential was used in subsequent tests. The last three posterior segments of the clitellate earthworm tail reared under standardized conditions were surgically amputated. Next, topical PBS or GA extract was applied to the surgical wound. The rate of cell migration and tissue regeneration at the local wound site was histologically evaluated after the procedure. Expression of the SOX4 gene that acts in epithelial-to-mesenchymal transition was determined by RT-qPCR. Results. Sixteen bioactive molecules, including some previously described substances, were identified. All tested concentrations exhibited antioxidant and genoprotective effects. The GA extract accelerated the healing processes as observed through macroscopic and histological analyses and increased expression of SOX4. Conclusion. The GA extract has a potential role in the healing of surgically induced wounds.
Research Progress of Artificial Intelligence Image Analysis in Systemic Disease-Related Ophthalmopathy
Authors: Ji Yuke , Chen Nan , Liu Sha , Yan Zhipeng , Qian Hui , Zhu Shaojun , Zhang Jie , Wang Minli , Jiang Qin , Yang Weihua
Published: June 2022

The eye is one of the most important organs of the human body. Eye diseases are closely related to other systemic diseases, both of which influence each other. Numerous systemic diseases lead to special clinical manifestations and complications in the eyes. Typical diseases include diabetic retinopathy, hypertensive retinopathy, thyroid associated ophthalmopathy, optic neuromyelitis, and Behcet’s disease. Systemic disease-related ophthalmopathy is usually a chronic disease, and the analysis of imaging markers is helpful for a comprehensive diagnosis of these diseases. Recently, artificial intelligence (AI) technology based on deep learning has rapidly developed, leading to numerous achievements and arousing widespread concern. Presently, AI technology has made significant progress in research on imaging markers of systemic disease-related ophthalmopathy; however, there are also many limitations and challenges. This article reviews the research achievements, limitations, and future prospects of AI image analysis technology in systemic disease-related ophthalmopathy.
Sentiment Analysis of Image with Text Caption using Deep Learning Techniques
Authors: Chaubey Pavan Kumar , Arora Tarun Kumar , Raj K. Bhavana , Asha G. R. , Mishra Geetishree , Guptav Suresh Chand , Altuwairiqi Majid , Alhassan Musah
Published: June 2022

People are actively expressing their views and opinions via the use of visual pictures and text captions on social media platforms, rather than just publishing them in plain text as a consequence of technical improvements in this field. With the advent of visual media such as images, videos, and GIFs, research on the subject of sentiment analysis has expanded to encompass the study of social interaction and opinion prediction via the use of visuals. Researchers have focused their efforts on understanding social interaction and opinion prediction via the use of images, such as photographs, films, and animated GIFs (graphics interchange formats). The results of various individual studies have resulted in important advancements being achieved in the disciplines of text sentiment analysis and image sentiment analysis. It is recommended that future studies investigate the combination of picture sentiment analysis and text captions in more depth, and further research is necessary for this field. An intermodal analysis technique known as deep learning-based intermodal (DLBI) analysis is discussed in this suggested study, which may be used to show the link between words and pictures in a variety of scenarios. It is feasible to gather opinion information in numerical vector form by using the VGG network. Afterward, the information is transformed into a mapping procedure. It is necessary to predict future views based on the information vectors that have been obtained thus far, and this is accomplished through the use of active deep learning. A series of simulation tests are being conducted to put the proposed mode of operation to the test. When we look at the findings of this research, it is possible to infer that the model outperforms and delivers a better solution with more accuracy and precision, as well as reduced latency and an error rate, when compared to the alternative model (the choice).
Elucidating the Neuroprotective Effect of Tecoma stans Leaf Extract in STZ-Induced Diabetic Neuropathy
Authors: Gupta Amit , Behl Tapan , Sehgal Aayush , Singh Sukhbir , Sharma Neelam , Yadav Shivam , Anwer Khalid , Cruz Celia Vargas-De-La , Chigurupati Sridevi , Farasani Abdullah , Bhatia Saurabh
Published: June 2022

Background. Diabetes is considered one of the most encyclopedic metabolic disorders owing to an alarming rise in the number of patients, which is increasing at an exponential rate. With the current therapeutics, which only aims to provide symptomatic and momentary relief, the scientists are shifting gears to explore alternative therapies which not only can target diabetes but can also help in limiting the progression of diabetic complications including diabetic neuropathy (DN). Methods. Tecoma stans leaf methanolic extract was prepared using the Soxhlet method. A streptozotocin (STZ; 45 mg/kg)-induced diabetic animal model was used and treatment with oral dosing of T. stans leaf extract at the different doses of 200 mg/kg, 300 mg/kg, and highest dose, i.e., 400 mg/kg, was initiated on day 3 after STZ administration. The pharmacological response for general and biochemical (angiogenic, inflammatory, and oxidative) parameters and behavioral parameters were compared using Gabapentin as a standard drug with the results from the test drug. Results. Parameters associated with the pathogenesis of diabetic neuropathy were evaluated. For general parameters, different doses of T. stans extract (TSE) on blood sugar showed significant effects as compared to the diabetic group. Also, the results from biochemical analysis and behavioral parameters showed significant positive effects in line with general parameters. The combination therapy of TSE at 400 mg/kg with a standard drug produced nonsignificant effects in comparison with the normal group. Conclusion. The leaves of T. stans possess antidiabetic effects along with promising effects in the management of DN by producing significant effects by exhibiting antioxidative, antiangiogenic, and anti-inflammatory properties, which are prognostic markers for DN, and thus, T. stans can be considered as an emerging therapeutic option for DN.
Curcumenol Targeting YWHAG Inhibits the Pentose Phosphate Pathway and Enhances Antitumor Effects of Cisplatin
Authors: Mao Zhijie , Zhong Liyan , Zhuang Xiaodan , Liu Haoen , Peng Yan
Published: June 2022

Objective. Cervical cancer is a common cancer in women. The drug resistance of chemotherapeutic agents has always been an urgent problem to be solved in clinics. The purpose of this study was to determine the role of tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein gamma polypeptide (YWHAG) in cervical cancer and explore the effect of Curcuma on cervical cancer and its possible mechanism. Methods. YWHAG expression in cervical cancer was confirmed using The Cancer Genome Atlas (TCGA) database. Then, the effects of YWHAG on the proliferation and invasion of HeLa and C33A cervical cancer cells were detected by the cell counting kit-8 (CCK-8) and transwell assay. The relationship between YWHAG and the pentose phosphorylation pathway was further studied. CCK-8, Edu, and quantitative real-time polymerase chain reaction were used to confirm that Curcuma inhibited the sensitivity of YWHAG to cisplatin chemotherapy and to detect the expression of apoptosis-related proteins. Results. YWHAG was highly expressed in cervical cancer and was associated with poor prognosis. The proliferation and invasion abilities of HeLa and C33A cells decreased after YWHAG knockout. The TCGA database of cervical cancer showed a positive correlation between YWHAG and hypoxia-inducible factor-1 subunit alpha (HIF-1α) expression. YWHAG expression increased with HIF-1α overexpression. YWHAG knockdown reduced the protein expression in the pentose phosphorylation pathway. Curcumenol inhibited YWHAG expression. Compared with cisplatin alone, curcumenol combined with cisplatin can reduce cell proliferation and invasion and reduce matrix metalloproteinase (MMP) 2 and MMP9 expression. It can also increase apoptosis, decrease B cell lymphoma 2 (Bcl-2) expression, and increase the expression of Bcl-2 antagonist X, caspase-3, and polyadenosine diphosphate-ribose polymerase. Conclusion. YWHAG can interact with HIF-1α to affect the proliferation and invasion of cervical cancer cells. YWHAG knockout can reduce the expression of pentose phosphorylation pathway-related proteins. Curcumenol can enhance cisplatin to inhibit cancer cell proliferation, migration, and invasion and promote tumor cell apoptosis. The combination of drugs may promote the apoptosis of cervical cancer cells through the YWHAG pathway.
Stock Price Forecasting Based on Wavelet Filtering and Ensembled Machine Learning Model
Authors: Wang Pengyue , Li Xuesheng , Qin Zhiliang , Qu Yuanyuan , Zhang Zhongkai
Published: June 2022

Financial data are not only characterized by time-domain correlations but also heavily influenced by numerous market factors. In stock price analysis, the prediction of short-term movements is of much interest to investors and traders. In this paper, we consider forecasting price movements based on ensembled machine learning models, which is generally viewed as a challenging task due to noise components inherent in the data and uncertainties in various forms of financial information related to stock prices. To enhance the accuracy of trend predictions, we propose to use wavelet packet decomposition (WPD) and kernel-based smoothing techniques to remove high-frequency noise from the data, based on which we further perform feature engineering to obtain a comprehensive list of multidimensional technical features. Subsequently, we employ the light gradient boosting machine (lightGBM) algorithm to classify the change in the direction of the price trend that occurs in ten trading days. Numerical results on the Shanghai composite index show that the proposed approach has noticeable advantages over traditional statistical and machine learning methods when predicting near term price trends. Index terms—ensembled machine learning, feature correlation, financial data, LGBM, and wavelet denoising.
Sports Rehabilitation Treatment of Medical Information in Tertiary Hospitals Based on Computer Machine Learning
Authors: Ma Xiaojun , Zhang Zhenfeng
Published: June 2022

Objective. The processing and analysis of medical rehabilitation information data in tertiary hospitals is a hot research topic. Combining medical data analysis with machine learning algorithms to improve data mining efficiency is a problem that needs to be solved at present. This paper proposes an autonomous perception model of sports medicine rehabilitation equipment based on a deep learning algorithm for sports medical rehabilitation data. Methods. This paper cites a deep learning multi-dimensional perception model for medical rehabilitation equipment autonomous perception. The model utilizes the automatic overhaul of medical rehabilitation equipment based on deep belief networks. This paper extracts features through a multi-layer neural network and obtains fault location results of medical rehabilitation equipment through softmax. Results. In similarity prediction, the accuracy rate of the first three kinds of feedback containing the target answer is 77%. The accuracy rate of the target answers included in the top five kinds of feedback was 92%. Conclusion. In this study, it is feasible to apply deep learning to the quality control information system of sports rehabilitation medical equipment. This improves the management efficiency of medical rehabilitation equipment to a certain extent.
Liver Abscess due to Fasciola hepatica: A Case Report of the North of Iran
Authors: Matin Somaieh , Joukar Farahnaz , Yeganeh Sara , Daryakar Arash , Mansour-Ghanaei Fariborz
Published: June 2022

One of the rare manifestations of fascioliasis is liver abscess. In this paper, we report the case of a 38-year-old woman with a liver abscess caused by Fasciola hepatica (F. hepatica). The patient was referred to the clinic with recurrent fever, right upper quadrant (RUQ) pain, and a large abscess in her liver. Despite the consumption of an antibiotic drug, she still had symptoms. The symptoms began to disappear upon starting the consumption of triclabendazole (TCBZ). Fascioliasis can manifest itself with unusual symptoms that provide no specific clue for its diagnosis. Therefore, it is important to consider F. hepatica in the differential diagnosis of liver abscess, especially in endemic regions.
Evaluation of Network Security Service Provider Using 2‐Tuple Linguistic Complex q‐Rung Orthopair Fuzzy COPRAS Method
Authors: Naz Sumera , Akram Muhammad , Al-Shamiri Mohammed M. Ali , Saeed Muhammad Ramzan
Published: June 2022

In recent years, network security has become a major concern. Using the Internet to store and analyze data has become an integral aspect of the production and operation of many new and traditional enterprises. However, many enterprises lack the necessary resources to secure information security, and selecting the best network security service provider has become a real issue for many enterprises. This research introduces a novel decision‐making method utilizing the 2‐tuple linguistic complex q‐rung orthopair fuzzy numbers (2TLCq‐ROFNs) to tackle this issue. We propose the 2TLCq‐ROF concept by combining the complex q‐rung orthopair fuzzy set with 2‐tuple linguistic terms, including the fundamental definition, operational rules, scoring, and accuracy functions. Aggregation operators are the fundamental mathematical approach used to combine various inputs into a single output. Taking into account the interaction between the attributes, we develop the 2TLCq‐ROF Hamacher (2TLCq‐ROFH) operators by using the innovative operational rules. These operators include the 2TLCq‐ROFH weighted average (2TLCq‐ROFHWA), 2TLCq‐ROFH ordered weighted average (2TLCq‐ROFHOWA), 2TLCq‐ROFH hybrid average (2TLCq‐ROFHHA), 2TLCq‐ROFH weighted geometric (2TLCq‐ROFHWG), 2TLCq‐ROFH ordered weighted geometric (2TLCq‐ROFHOWG), and 2TLCq‐ROFH hybrid geometric (2TLCq‐ROFHHG) operators. In addition, we talk about the properties of 2TLCq‐ROFH operators such as idempotency, commutativity, monotonicity, and boundedness and also examine their spatial cases. To tackle the problems of the 2TLCq‐ROF multiattribute group decision‐making (MAGDM) environment, we develop a novel approach according to the COPRAS (complex proportional assessment) model. Finally, to validate the feasibility of the given strategy, we employ a quantitative example related to select the best network security service provider. In comparison with existing approaches, the developed decision‐making algorithm is most extensively used and reduces the loss of information.
Optimizing the Service Network Design Problem for Railroad Intermodal Transportation of Hazardous Materials
Authors: Huang Lixia , Zhao Jun
Published: June 2022

The service network design problem is one of the key problems in the field of railroad intermodal transportation of hazardous materials (hazmat). It lies in determining the frequency of the trains and the allocation of both hazardous and ordinary shipments to these trains, as well as the railroad connecting plan of all shipments based on the established train formation plan. Based on a unified method, we build a multiobjective mixed-integer linear-programming model that comprehensively considers both hazardous and ordinary materials, the compatibility of goods and services, the capacity of the transfer station, and the delivery time limit of each shipment. An augmented ε-constraint algorithm is customized to solve the model. Computational results of a practical example in China show that an increase of 8.4 million yuan in the total cost could reduce nearly 24541 the total risk. Moreover, the algorithms comparison and sensitivity analysis indicate that the augmented ε-constraint algorithm is a more suitable approach to handle the model because of its advantage in the uniqueness of distinct nondominated solutions. Finally, the sensitivity analysis shows that the total cost and risk could simultaneously be reduced if the delivery time limit is relaxed or if the transfer time is shortened.
Research on the Most Efficient Use of Wind Energy Resources in the Context of Carbon Neutrality: Overview Based on Evolutionary Algorithm
Authors: Zhao Qianqian , Yan Haowen , Jin Jianglei
Published: June 2022

An evolutionary algorithm-based optimal allocation method of wind resources under the background of carbon neutralization is proposed in order to better achieve the goal of energy conservation and emission reduction under the background of carbon neutralization, aiming at the current unreasonable allocation of wind resources. The evaluation model of balanced wind resource allocation is designed, and the evaluation index of optimal wind resource allocation is constructed using the evolutionary algorithm. The optimal allocation path of wind energy resources is chosen to achieve the goal of reasonable wind energy resource allocation. Finally, simulation experiments show that using an evolutionary algorithm to solve the problem of poor energy allocation and achieve the research goal, the optimal allocation method of wind energy resources under the background of carbon neutralization can effectively solve the problem of poor energy allocation.