bluuebunny/crossref_metadata_2025 huggingface dataset:
Multimodal Remote Sensing Image Registration Algorithm Based on a New Edge Descriptor
Authors: Song Zhili , Shi Chaopeng , Liu Fanmei , Li Boyu
Published: June 2022

Image registration of multimodal remote sensing images plays a vital role in remote sensing image analysis. However, there are significant nonlinear intensity differences between multimodal remote sensing image pairs, making it difficult for most traditional image registration algorithms to meet the registration requirements. In this paper, we propose a novel edge descriptor utilizing edge information, which has not only affine invariance but is also insensitive to nonlinear intensity differences. Moreover, we utilize the proposed descriptor to design a multimodal image registration algorithm. We use several different multimodal image pairs to evaluate the proposed algorithm. The experimental results show that the proposed algorithm holds a stable performance and can still achieve accurate spatial alignment even with the huge nonlinear intensity differences.
Controlling a 4D Chaotic Oscillator with a Quadratic Memductance and its Implementation
Authors: Gokyildirim Abdullah , Yesil Abdullah , Babacan Yunus
Published: June 2022

Following the experimental realization of memristors, researchers have focused on memristor-based circuits. Chaotic circuits can be implemented easily using a memristor due to its nonvolatile and nonlinear behavior. This study presents a memristor-based four-dimensional (4D) chaotic oscillator with a line equilibria. A memristor having quadratic memductance was utilized to implement the proposed chaotic oscillator. The 4D chaotic oscillator with quartic nonlinearity was designed as a result of the quadratic memductance. In terms of communication security, random number generation and image and audio encryption, systems with quartic nonlinearity or that are higher-dimensional are better than systems that are lower-dimensional or possess quadratic/cubic nonlinearity. The performance of the proposed chaotic circuit was investigated according to properties such as phase portraits, Jacobian matrices, equilibrium points, Lyapunov exponents and bifurcation analyses. Furthermore, the proposed system is multistable and its solutions tend to appear as twin attractors when initial conditions approach their equilibria. The Lyapunov-based nonlinear controller was constructed for controlling the proposed system having a line equilibria. The effect of the initial conditions on the controlling indicators was also studied. In conclusion, by using discrete circuit elements, the proposed circuit was constructed, and its experimental results demonstrated a good agreement with the simulation results.
Making Learned Query Optimization Practical
Authors: Markl Volker
Published: June 2022

Query optimization has been a challenging problem ever since the relational data model had been proposed. The role of the query optimizer in a database system is to compute an execution plan for a (relational) query expression comprised of physical operators whose implementations correspond to the operations of the (relational) algebra. There are many degrees of freedom for selecting a physical plan, in particular due to the laws of associativity, commutativity, and distributivity among the operators in the (relational) algebra, which necessitates our taking the order of operations into consideration. In addition, there are many alternative access paths to a dataset and a multitude of physical implementations for operations, such as relational joins (e.g., merge-join, nestedloop join, hash-join). Thus, when seeking to determine the best (or even a sufficiently good) execution plan there is a huge search space.
FoundationDB
Authors: Zhou Jingyu , Xu Meng , Shraer Alexander , Namasivayam Bala , Miller Alex , Tschannen Evan , Atherton Steve , Beamon Andrew J. , Sears Rusty , Leach John , Rosenthal Dave , Dong Xin , Wilson Will , Collins Ben , Scherer David , Grieser Alec , Liu Young , Moore Alvin , Muppana Bhaskar , Su Xiaoge , Yadav Vishesh
Published: June 2022

FoundationDB is an open source transactional key value store created more than ten years ago. It is one of the first systems to combine the flexibility and scalability of NoSQL architectures with the power of ACID transactions. FoundationDB adopts an unbundled architecture that decouples an in-memory transaction management system, a distributed storage system, and a built-in distributed configuration system. Each sub-system can be independently provisioned and configured to achieve scalability, high-availability and fault tolerance. FoundationDB includes a deterministic simulation framework, used to test every new feature under a myriad of possible faults. FoundationDB offers a minimal and carefully chosen feature set, which has enabled a range of disparate systems to be built as layers on top. FoundationDB is the underpinning of cloud infrastructure at Apple, Snowflake and other companies.
Technical Perspective of TURL
Authors: Papotti Paolo
Published: June 2022

Several efforts aim at representing tabular data with neural models for supporting target applications at the intersection of natural language processing (NLP) and databases (DB) [1-3]. The goal is to extend to structured data the recent neural architectures, which achieve state of the art results in NLP applications. Language models (LMs) are usually pre-trained with unsupervised tasks on a large text corpus. The output LM is then fine-tuned on a variety of downstream tasks with a small set of specific examples. This process has many advantages, because the LM contains information about textual structure and content, which are used by the target application without manually defining features.
Technical Perspective
Authors: Pagh Rasmus
Published: June 2022

The paper Relative Error Streaming Quantiles, by Graham Cormode, Zohar Karnin, Edo Liberty, Justin Thaler and Pavel Vesel´y studies a fundamental question in data stream processing, namely how to maintain information about the distribution of data in the form of quantiles. More precisely, given a stream S of elements from some ordered universe U we wish to maintain a compact summary data structure that allows us to estimate the number of elements in the stream that are smaller than a given query element y 2 U, i.e., estimate the rank of y. Solutions to this problem have numerous applications in large-scale data analysis and can potentially be used for range query selectivity estimation in database engines.
Technical Perspective
Authors: Woodruff David P.
Published: June 2022

Model counting is the problem of approximately counting the number |Sol(Φ)| of satisfying assignments to a given model Φ, which could, for example, be a formula in conjunctive normal form (CNF) or a formula in disjunctive normal form (DNF).
Hyaluronan network: a driving force in cancer progression
Authors: Karalis Theodoros , Skandalis Spyros S.
Published: June 2022

Hyaluronan is one of the most abundant macromolecules of the extracellular matrix and regulates several physiological cell and tissue properties. However, hyaluronan has been shown to accumulate together with its receptors in various cancers. In tumors, accumulation of hyaluronan system components (hyaluronan synthesizing/degrading enzymes and interacting proteins) associates with poor outcomes for the patients. In this article, we review the main roles of hyaluronan in normal physiology and cancer and further discuss the targeting of hyaluronan system as an applicable therapeutic strategy.
Mechanism of Stat1 in the neuronal Ca2+ overload after intracerebral hemorrhage via the H3K27ac/Trpm7 axis
Authors: Li Jialin , Ren Hecheng , Wang Yanbing , Hoang Dung Minh , Li Yongsheng , Yao Xiuhua
Published: June 2022

We found Stat1 promotes Trpm7 transcription by promoting H3K27 acetylation and thus promotes calcium overload of neurons after intracerebral hemorrhage.
Cardiovascular deconditioning increases GABA signaling in the nucleus tractus solitarii
Authors: Lima-Silveira Ludmila , Hasser Eileen M. , Kline David D.
Published: June 2022

Gravity influences distribution of blood volume and autonomic function. Microgravity and prolonged bed rest induce cardiovascular deconditioning (CVD). We used hindlimb unloading (HU), a rat analog for bed rest, to investigate CVD-induced neuroplasticity in the brainstem. Our data demonstrate that HU increases GABA modulation of nucleus tractus solitarii (nTS) neurons via presynaptic plasticity. Given the importance of nTS in integrating cardiovascular reflexes, this study provides new evidence on the central mechanisms behind CVD following HU.
The Role of ANGPTL Gene Family Members in Hepatocellular Carcinoma
Authors: Bai Yun , Lu Dan , Qu Di , Li Yiwen , Zhao Ning , Cui Guanghua , Li Xue , Sun Xiaoke , Liu Yanying , Wei Meiqi , Yang Yu
Published: June 2022

Background. Hepatocellular carcinoma (HCC) is highly aggressive with a poor prognosis and survival rate. Certain ANGPTL members have been implicated in tumor progression. However, the relevance of the ANGPTL gene family to HCC remains poorly understood. In this study, we explored the role of ANGPTLs in the prognosis of HCC. Methods. From the CCLE database, we studied the expression of ANGPTLs in a range of cancer cell lines. The UCSC, HCCDB, and Human Protein Atlas databases were used to analyze the differences in mRNA and protein expression of ANGPTLs in HCC tissues. Additionally, the correlation between ANGPTL mRNA and methylation levels and clinicopathological features were assessed in the TCGA database. The correlation between ANGPTL mRNA and overall survival was determined by the Kaplan-Meier plotter. cBioPortal database was used to analyze ANGPTL genomic alterations. Genes associated with ANGPTLs were determined by enrichment with KEGG. Moreover, the differentially expressed genes of ANGPTLs were analyzed by the LinkedOmics database, and the KEGG pathway and miRNA targets of ANGPTLs were also enriched. Results. There was a significant correlation between the ANGPTL members (excluding ANGPTL2) and the prognosis of HCC patients according to the Kaplan-Meier plotter analysis (

p
<
0.05

). ANGPTL1 was the gene with the highest mutation frequency. ANGPTLs are involved in certain pathways that may influence the development of HCC. Conclusion. In summary, the expression of some members of ANGPTLs was significantly correlated with HCC prognosis, suggesting that the ANGPTL gene family members may be promising molecular markers for HCC treatment and prognosis.
Heat Shock Protein 90 (HSP90) Inhibitors as Anticancer Medicines: A Review on the Computer-Aided Drug Discovery Approaches over the Past Five Years
Authors: Magwenyane Ayanda M. , Ugbaja Samuel C. , Amoako Daniel G. , Somboro Anou M. , Khan Rene B. , Kumalo Hezekiel M.
Published: June 2022

Cancer is a disease caused by the uncontrolled, abnormal growth of cells in different anatomic sites. In 2018, it was predicted that the worldwide cancer burden would rise to 18.1 million new cases and 9.6 million deaths. Anticancer compounds, often known as chemotherapeutic medicines, have gained much interest in recent cancer research. These medicines work through various biological processes in targeting cells at various stages of the cell’s life cycle. One of the most significant roadblocks to developing anticancer drugs is that traditional chemotherapy affects normal cells and cancer cells, resulting in substantial side effects. Recently, advancements in new drug development methodologies and the prediction of the targeted interatomic and intermolecular ligand interaction sites have been beneficial. This has prompted further research into developing and discovering novel chemical species as preferred therapeutic compounds against specific cancer types. Identifying new drug molecules with high selectivity and specificity for cancer is a prerequisite in the treatment and management of the disease. The overexpression of HSP90 occurs in patients with cancer, and the HSP90 triggers unstable harmful kinase functions, which enhance carcinogenesis. Therefore, the development of potent HSP90 inhibitors with high selectivity and specificity becomes very imperative. The activities of HSP90 as chaperones and cochaperones are complex due to the conformational dynamism, and this could be one of the reasons why no HSP90 drugs have made it beyond the clinical trials. Nevertheless, HSP90 modulations appear to be preferred due to the competitive inhibition of the targeted N-terminal adenosine triphosphate pocket. This study, therefore, presents an overview of the various computational models implored in the development of HSP90 inhibitors as anticancer medicines. We hereby suggest an extensive investigation of advanced computational modelling of the three different domains of HSP90 for potent, effective inhibitor design with minimal off-target effects.
A Dual‐Mode Imaging Nanoparticle Probe Targeting PD‐L1 for Triple‐Negative Breast Cancer
Authors: Li Xiajin , Ji Yinan , Chen Miao , Zhang Siyi , Wang Ziyu , Su Danke , Luo Ningbin
Published: June 2022

Chemotherapy has remained the mainstay of treatment of triple‐negative breast cancer; however, it is significantly limited by the associated side effects. PD‐1/PD‐L1 immune checkpoint inhibition therapy (ICI) has been a breakthrough for this patient population in recent years. PD‐L1 expression is crucial in immunotherapy since it is a major predictor of PD‐1/PD‐L1 antibody response, emphasizing the significance of monitoring PD‐L1 expression. Nonetheless, it is hard to assess the expression of PD‐L1 before surgery, which has highlighted the urgency for a precise and noninvasive approach. Herein, we prepared a dual‐mode imaging nanoparticle probe to detect PD‐L1. The particle size, zeta potential, biocompatibility, and imaging ability of NPs were characterized. The synthesized NPs showed slight cytotoxicity and good T2 relaxivity. The targeted NPs accumulated more in 4T1 cells than nontargeted NPs in vitro. The in vivo experiment further demonstrated the distribution of targeted NPs in tumor tissues, with changes in NIRF and MR signals observed. Our study indicated that SPIO‐aPD‐L1‐Cy5.5 NPs can be used to monitor PD‐L1 expression in breast cancer as NIRF/MR contrast agents.
Inhibition of Homeobox D10 Alleviates Acute Kidney Injury by Upregulating PI3K/AKT Signaling Proteins
Authors: Liu Siqi , Sun Huixin , Guo Jingjie , Ma Linlin
Published: June 2022

Purpose. To observe the protective effect of homeobox D10 (HOXD10) on acute kidney injury (AKI) by regulating PI3K/AKT signaling pathway is the purpose of this study.Methods. 30 rats were randomly divided into three groups: blank control group, model group, and HOXD10 interference group. The kidney function indexes, HOXD10 protein expression, histopathological features, tubulointerstitial injury, and PI3K and AKT protein expression levels of the three groups were analyzed. Results. Compared with the blank control group, the kidney weight, BUN and SCr in model group increased significantly, and TIL score was higher (

P
>
0.05

). The expression of HOXD10 in model group and HOXD10 interference group were higher than blank control group, and the expression of HOXD10 in HOXD10 interference group was lower than model group (

P
<
0.05

). After we administered HOXD10 blocker to AKI rats, pathological sections by HE staining showed that the kidney tissue damage was significantly reduced compared with the model group, and the expression levels of BUN and SCr in kidney tissue decreased, and the TIL score decreased. The expression of p-PI3K and p-AKT decreased after kidney injury. Compared with the model group, the phosphorylation levels of PI3K and AKT in HOXD10 interference group were significantly increased (

P
<
0.05

). Conclusion. Downregulation of HOXD10 can play a protective role on AKI by activating PI3K/AKT signaling pathway, which can reduce tubulointerstitial injury and improve kidney function.
Designing a Renewal Approach of Rejuvenating Historic Districts: Taking Nantong Temple Street as an Example
Authors: Gu Haiyan , Wei Yinan , Zhao Haichun
Published: June 2022

In recent years, people’s opinions have shifted with the continuous development and growth of cities. The category of historical heritage is increasingly being shifted from the city’s star fire to the backdrop color of the entire city. However, some cities are experiencing issues such as aging, regeneration, and stagnation. With the merging of sustainable development ideas with urban renewal techniques, sustainable urban renewal has developed as a new area of research. Data mining and analytics have played a significant role in extracting knowledge and decision-making in the revitalization of historic districts during the last decade. Machine learning, as a computational engine for learning analytics, is a fundamental technique for extracting information, data pattern detection, and prediction. From the perspective of machine learning, this study investigates the historical block update approach, which is utilized in feature space and culture at the same time. Furthermore, it investigates the development of countermeasures for injecting new energy into the historical block by using the functions of space and scale to search for the block transformation and the combination of natural and cultural landscapes. In addition, in order to interact with visitors and residents and realize the renewal of old blocks, in this research work, multifunctional culture is grafted into the historical block and buried underground, so that their life can be awakened. To highlight the efficiency of this work, we have taken the Nantong Temple Street in China as an example which verifies the validity of this study.
Motion Measurement and Analysis of Different Instruments for Single-Incision Laparoscopic Surgery
Authors: Lyu Kunyong , Yang Lixiao , Song Chengli
Published: June 2022

Objective. To objectively compare and analyze the range of motion of three types of instruments for single-incision laparoscopic surgery. Material and Methods. Ten experienced participants were recruited. Straight instruments (Group A), straight/articulating instruments (Group B), and precurved instruments (Group C) were used to complete the transferring task through one site in a laparoscopic simulator. Straight instruments via two separate sites (Group D) served as control. The operation time of each group was recorded. Instrument positions were measured by an optical tracking system. The inserted length and pivoting angles were derived via MATLAB. Results. There was a significant difference in operation time between groups (

D
<
A
<
B
<
C

,

p
<
0.01

). The range of motion of instruments was different on instrument types and surgical approaches. A significant difference in the inserted length was found between groups. Instrument conflicts and inadequate triangulation were found in Group A; instrument conflicts were found in Group B; no obvious conflicts and triangulation problems were observed in Group C. The operation in Group C was similar to the operation in Group D but differed on the left/right pivoting angles. Conclusion. Different types of instruments have different ranges of motion in single-incision laparoscopic surgery. Working with precurved instruments seems like a compromise to traditional laparoscopic surgery if the transmission property, and shaft curvature of the instruments could be improved. An integrated mechanical platform or robotic system might be the ultimate solution for single-incision laparoscopic surgery to pursue even less trauma.
A Three-Dimensional Animation Character Dance Movement Model Based on the Edge Distance Random Matrix
Authors: Jin Yan
Published: June 2022

In this paper, we use the edge distance random matrix method to analyze and study the dance movements of 3D animation characters and design a 3D animation character dance movement model. Firstly, each dance movement video in the dataset is divided into equal parts, while the segmented videos are subjected to the operation of accumulating edge features separately, and the edge features in all video images within each segment are accumulated into one image, and the directional gradient histogram features are extracted from them. Finally, a set of directional gradient histogram features are used to represent the local appearance and shape of the video dance movement. The reconstructed human movements are obtained mainly by fitting the 3D human coordinates in the image space using the human model and the estimated depth coordinates, which are currently more mature and are chosen from existing techniques. In other combinations, the performance of the method in this paper is better than the recognition results of the benchmark method, especially when the similarities of dance movements in the towel flower combination and the piece flower combination are too high. In response to the problem of the reconstructed action appearing to have ground penetration, slipping, and floating feet, a method is proposed to optimize the fitting human model foot problem according to the foot touching the ground. The experimental results show that the method can replace the traditional motion capture method to a certain extent, simplify the use of motion capture, and reduce the cost of motion capture. In the model deformation stage, to reduce the deformation quality problem during the model motion and improve the efficiency of weight calculation, a model deformation method combining double quaternions and bounded double tuning and weights are given. The static 3D model is tetrahedralization, and then the skeletal control points of the model are set and the weight of each skeletal segment to the model is calculated; next, the 3D model is mixed and bound with the skeletal data using the dual quaternion skinning algorithm; finally, the static 3D model motion is driven by the skeletal data. Experiments demonstrate that the method results in better deformation of the 3D model during rotation.
Dynamic Logo Design System of Network Media Art Based on Convolutional Neural Network
Authors: Yang Zhi
Published: June 2022

Nowadays, we are in an era of rapid development of Internet technology and unlimited expansion of information dissemination. While the application of new media and digital multimedia has become more popular, it has also brought Earth shaking changes to our life. In order to solve the problem that the traditional static visual image has been difficult to meet people’s needs, a network media art dynamic logo design system based on convolutional neural network is proposed. Firstly, the software and hardware platform related to accelerator development is introduced, the advanced integrated design and calculation IP core are determined as the FPGA hardware accelerator, and the design objectives and requirements of the accelerator system are analyzed. The overall architecture of the accelerator system is designed. 76% of designers believe that the dynamic logo has promoted the corporate image. Then, the function and architecture of IP core are designed based on advanced synthesis, the code structure is standardized, the function is divided, and the operation acceleration is further optimized by using the instruction set of HLS. Finally, the design is integrated by Vivado HLS and Vivado IDE software. The experiment shows that the accelerator system has low power consumption and high resource utilization.
Corrected Inertial Torques of Gyroscopic Effects
Authors: Usubamatov Ryspek , Allen Dennis
Published: June 2022

The published manuscripts in the area of gyroscope theory were presented mainly by the simplified approaches in which mathematical models contain many uncertainties. New research in machine dynamics opened breakthrough directions in gyroscopic effects of rotating objects that give the correct solutions. The pioneering work meets many problems when solving the scientific innovations that are accompanied by successes and omissions. New mathematical models for the gyroscopic inertial torques were derived with incorrect processing of the integral equations that give distorted results. The gyroscopic devices in engineering manifest gyroscopic effects as the action of the inertial torques which computing is crucial for mathematical describing of their motions. The corrected mathematical processing of the equations for the inertial torques acting in a gyroscope is presented in this manuscript.
Convolutional Autoencoder-Based Deep Learning Approach for Aerosol Emission Detection Using LiDAR Dataset
Authors: Hameed Mazhar , Yang Fengbao , Bazai Sibghat Ullah , Ghafoor Muhammad Imran , Alshehri Ali , Khan Ilyas , Ullah Shafi , Baryalai Mehmood , Jaskani Fawwad Hassan , Andualem Mulugeta
Published: June 2022

Quantifying atmospheric aerosols and their linkages to climatic repercussions is necessary to understand the dynamics of climate forcing and enhance our knowledge of climate change. Because of this reactivity to precipitation, temperature, topography, and human activity, the atmospheric boundary layer (ABL) is one of the most dynamic atmospheric regions: ABL aerosols have a big impact on the evolution of climate change’s radiative forcing, human health, food security, and, eventually, the local and global economy. Continuous monitoring and instrumental and computational approaches are required for the detection and analysis of ABL pattern behavior. This paper provides a deep learning-based outer layer aerosol detection system based on Light Detection and Ranging (LiDAR) data fusion. The suggested method applies sequential models to turn low-level data into compressed features using object-based analysis, feature-level fusion, and autoencoder-based dimensionality reduction. Convolutional neural networks (CNNs) were used to convert compressed data into high-level properties that could be used to categorize air particles in the outer layer. This research describes deep learning approaches that allowed for detecting 40% more atmospheric features at a horizontal resolution of 5 km during daytime operations when applied to LiDAR data. Compared to existing deep learning algorithms for edges and complicated near-surface sceneries during the day, a convolutional autoencoder (CAE) trained using LiDAR dataset standard data products showed the potential for improved aerosol discrimination with 98% accuracy.
Overview on Cryptosporidium bovis and Its Effect on Calves in Some Governorates in Egypt
Authors: Abdelaziz Amer R. , Tahoun Amin , El-Sharkawy Hanem , Abd El-Salam Moustafa M. , Alorabi Mohammed , El-Shehawi Ahmed M. , El Meghanawy Rasha A. , Toukhy Essam E , Abd El-Salam Ahmed M. , Sorour Shimaa S. G.
Published: June 2022

The present study was conducted to elucidate the prevalence of Cryptosporidium bovis in suckling and weaned cattle calves (Bubalus bubalis) from different governorates in northern, middle, and southern Egypt, such as Behera, Menofia, Qaliubiya, Assiut, and Sohag; result revealed that from the overall examined fecal samples (n = 825), the overall prevalence was 7.27%, the highest significant infection rate was in young suckling calves less than one month (8.2%), and seasonally, winter season has the highest significant level (11.24%), but sex and locality were of no significant effect on the prevalence of infection in this study. Gene sequencing and phylogenetic analysis of the 18SSU-rRNA gene of the local bovine isolate were performed, and it was found that C. bovis genotype was highly similar to human isolate, which provoke the zoonotic transmission of bovine isolate to humans and identified as a potential source for human cryptosporidiosis infection in Egypt.
The Influence of Artificial Intelligence on Visual Elements of Web Page Design under Machine Vision
Authors: Wang Ping
Published: June 2022

As the presentation form of the web, web pages contain a lot of important information in web design. As many information carriers, such as sound, graphics, and text, web pages have been integrated and have played a good role in visual transmission. It inherits many features of traditional graphic design, it can be said that it extends graphic design, and web design is richer in visual performance. At present, the research on web design in China is mainly background research. There is little research on the front-end aspects of web pages, especially in the aspect of plane vision. The lack of research in this area limits the development of web design. This paper introduces the relevant situation of web design and then analyzes the relevant elements in web design, such as visual elements, and their innovative applications. In addition, it focuses on the presentation form of visual elements in web design and summarizes the development trend of visual elements in contemporary web interface design. It proposes the strategy of innovation and application of visual elements in web design. The author hopes that, through the research of this paper, it will lay a theoretical foundation for the development of web design in the future. At the same time, this paper uses the NCMF algorithm in artificial intelligence to identify the visual elements of web pages, thereby improving the efficiency of web page design. Experiments show that the Chaos accuracy rate of the NCMF algorithm in the CETD dataset is 73.3482%.
Strength Abilities and Serve Reception Efficiency of Youth Female Volleyball Players
Authors: Pawlik Damian , Dziubek Wioletta , Rogowski Łukasz , Struzik Artur , Rokita Andrzej
Published: June 2022

Success in volleyball largely depends on motor abilities, particularly on maximum strength, power, jumping, and speed performance. However, a small number of studies assess the relationship between motor abilities and the effectiveness of volleyball technical skills. Therefore, the aim of the study was to assess the impact of the strength of the upper and lower limbs on the efficiency of serve reception during a 2 vs. 2 game, as well as to evaluate the results of motor measurements in the context of determining the usefulness of current testing procedures. The study involved a carefully chosen group of 12 girls aged 12–13 years (body height:

176.5
±
4.2

 cm, body mass:

58.6
±
5.1

 kg, and training experience:

43
±
15

months) selected for the Lower Silesian Regional Volleyball Team. The following tests were conducted: handgrip strength with a hand dynamometer, bent-arm hang, 2 kg medicine ball throw, shoulder joint internal rotators (IR) peak torque, standing long jump, spike jump, and countermovement jump. The measurements of the shoulder joint IR peak torque were performed under isometric (at 10°, 35°, and 65° rotation angles) and isokinetic (at 60°/s, 180°/s, and 300°/s) conditions. The efficiency of serve reception was evaluated during a 2 vs. 2 games by using Data Volley statistical software. The strongest positive relationships were observed between the serve reception efficiency and the peak torque and power of the shoulder joint IR, the medicine ball throw distance, and handgrip strength. Jumping variables showed no associations with efficient of serve reception. Consequently, we suggest adding protocols to volleyball training that include strength exercises aimed at developing the IR muscle group. The isokinetic upper limb test should be introduced as a valid tool in selection process. Coaches who do not have access to modern research equipment should use the medicine ball throw test to evaluate strength abilities as an alternative assessment of the serve reception efficiency.
Luminosity Control and Contrast Enhancement of Digital Mammograms Using Combined Application of Adaptive Gamma Correction and DWT-SVD
Authors: Kumar Dharmendra , Solanki Anil Kumar , Ahlawat Anil Kumar
Published: June 2022

Enhancement of mammogram images against low-contrast and poor illumination is still a challenge for researchers. Focusing on such issues, this manuscript presents a two-stage enhancement technique for mammogram images. The first stage of the image enhancement deals with illumination control using the corrective-adaptive gamma correction (CAGC) approach. In the second stage, contrast enhancement operation on the luminosity-controlled image is incorporated. In order to enhance visual perception against low-contrast, the combined application of discrete wavelet transform (DWT) and singular value decomposition (SVD) is incorporated. The experimentation of the proposed technique was performed over a publicly available mini-MIAS dataset. The proposed technique is evaluated on various quantitative parameters such as Pearson correlation coefficient (PCC), universal image quality index (IQI), structural similarity index measurement (SSIM), contrast improvement index (CII), average mean brightness error (AMBE), and mean absolute error (MAE) and obtain the average values of 0.996, 0.912, 0.921, 1.098, 15.732, and 15.624 that are promising results as compared to the other traditional methods. This study also compares the proposed technique with state-of-art methods and achieves better performance, resulting in significant improvement in contrast enhancement and local information preservation of mammogram images.
Diagnostic and Therapeutic Implications of Organic Delusional Disorder due to Tuberculous Adrenalitis
Authors: Govind Pooja , Subramanian Karthick , Kumar Suriya
Published: June 2022

Primary adrenal insufficiency rarely occurs due to infections, which consequently involves destruction or dysfunction of both adrenal cortices. Tuberculous adrenalitis is still a frequent cause of adrenal insufficiency in developing countries. We present the case of origin of multiple delusions along with recurrent spells of vomiting and giddiness in a patient with pulmonary tuberculosis (TB). A thorough medical history combined with a panel of biochemical and endocrine investigations revealed disseminated TB with choroid tubercles and adrenal infiltration leading to primary adrenal insufficiency. A diagnosis of organic delusional disorder secondary to disseminated TB-associated adrenal insufficiency was considered. The patient was managed with risperidone and antitubercular drugs. The psychosis improved and the patient was stable during the follow-up. The present case report adds to the literature on diagnostic challenges associated with psychosis due to adrenal insufficiency secondary to disseminated TB.
Radial Artery Calcification in Predicting Coronary Calcification and Atherosclerosis Burden
Authors: Achim Alexandru , Kákonyi Kornél , Nagy Ferenc , Jambrik Zoltán , Varga Albert , Nemes Attila , Chan Jeffrey Shi Kai , Toth Gabor G. , Ruzsa Zoltán
Published: June 2022

Background. Atherosclerosis is a systemic arterial disease with heterogeneous involvement in all vascular beds; however, studies examining the relationship between coronary and radial artery calcification are lacking. The purpose of this study was to assess the relationship between the two sites and the prognostic value of radial artery calcification (RC) for coronary artery disease. Methods. This is a single-center, retrospective cross-sectional study based on Doppler ultrasound of radial artery (RUS) and coronary artery angiography (CAG). We included a total of 202 patients undergoing RUS during distal radial access and CAG at the same procedure, between December 2020 and May 2021, from which 103 were found having RC during RUS (RC group) and 99 without (NRC group). Coronary calcifications were evaluated either by angiography examination (moderate and severe), positive CT (>100 Agatson units), or intracoronary imaging (IVUS, OCT). Results. A significant correlation was observed between radial calcification and coronary calcification variables (67.3% vs. 32.7%,

p
=
0.001

). The correlation between risk factors such as age, smoking, chronic kidney disease, and diabetes mellitus was higher while sex did not play a role. The need of PCI and/or CABG was higher in the RC group (60% vs. 44%,

p
=
0.02

). RC, therefore, predicts the extent and severity of coronary artery disease. Conclusion. RC may be frequently associated with calcific coronary plaques. These findings highlight the potential beneficial examination of radial arteries whenever CAD is suspected.
Analytic Hierarchy Process and Its Application in Rural Tourism Service Performance Evaluation
Authors: Yang Shengyi
Published: June 2022

In contemporary China, tourism is being upgraded to a modern service industry and strategic pillar industry. With the rapid development of modern information and communication technology and the continuous refinement of tourism market demand, tourism has entered a new era of smart tourism. Information runs through the whole process of tourism activities and is the key to determine the quality of tourism. Tourism public service is a very important basic support for tourism activities. It is of great significance to meet the diversified needs of tourists and optimize various services and government management functions. Based on the analysis of the connotation of tourism supply chain performance evaluation, this paper constructs a tourism supply chain performance evaluation index system and performance evaluation model suitable for analytic hierarchy process and studies the product price, production capacity, credit, complaint rate, and management level of its upstream tourism supply enterprises. To test the effectiveness of AHP on tourism supply chain performance evaluation, the comprehensive evaluation results and relevant suggestions for improving performance are obtained, which also proves the extensibility of the performance evaluation index system and provides an effective method for improving the performance of each link of China’s tourism industry and tourism service quality.
The Conflicting Role of Caffeine Supplementation on Hyperoxia-Induced Injury on the Cerebellar Granular Cell Neurogenesis of Newborn Rats
Authors: Giszas Vivien , Strauß Evelyn , Bührer Christoph , Endesfelder Stefanie
Published: June 2022

Preterm birth disrupts cerebellar development, which may be mediated by systemic oxidative stress that damages neuronal developmental stages. Impaired cerebellar neurogenesis affects several downstream targets important for cognition, emotion, and speech. In this study, we demonstrate that oxidative stress induced with high oxygen (80%) for three or five postnatal days (P3/P5) could significantly damage neurogenesis and proliferative capacity of granular cell precursor and Purkinje cells in rat pups. Reversal of cellular neuronal damage after recovery to room air (P15) was augmented by treatment with caffeine. However, downstream transcripts important for migration and differentiation of postmitotic granular cells were irreversibly reduced by hyperoxia, without rescue by caffeine. Protective effects of caffeine in the cerebellum were limited to neuronal survival but failed to restore important transcript signatures.
Effect of Nanoindentation Temperature on Plastic Deformation of 3C‐SiC Based on the Molecular Dynamics Method
Authors: Chen Tao , Dong Le , Yi Jiaqi , Ning Xiang , Li Wenjie , Wu Nanxing
Published: June 2022

To explore the effect of nanoindentation temperature on the plastic deformation of 3C‐SiC, it is possible to analyze the 3C‐SiC load‐displacement changes at different temperatures and the dislocation propagation in the plastic deformation stage. The 3C‐SiC nanoindentation model is established on the basis of molecular dynamics interatomic interaction potential. The model combines the 3C‐SiC crystal structure to optimize the Vashishta potential function and modifies the relaxation system, system boundary, and other simulated environmental factors. The plastic deformation process of 3C‐SiC at different temperatures is analyzed from multiple angles such as the load‐displacement curve, the stress distribution during the plastic deformation stage of the matrix, and the formation and growth of specimen dislocations. During the pressing process, intermolecular dislocations and stress are concentrated in the elastic‐plastic deformation zone. The load value of the elastic‐plastic deformation zone under high temperature environment is generally higher, and the energy of the dislocation loop will be released. In the plastic deformation zone, the dislocation loop will break under the action of high temperature environmental load. The premature release of energy will cause the load value to drop. During the pressing process, the bearing capacity of 3C‐SiC polycrystalline will decrease as the temperature rises. Plastic deformation occurs inside the material, and dislocations nucleate and expand from the grain boundary to the crystal and finally form a U‐shaped dislocation ring.
Discovery of Knowledge in the Incidence of a Type of Lung Cancer for Patients through Data Mining Models
Authors: Saleh Ibrahim Yousif , Muhammed Yasser , Al-Douri Asaad T. , Faisal Muhammad Shahzad , Mohamad Abdulsattar Abdullah H. , Al-Husban Abdallah , Birhan Mequanint
Published: June 2022

This paper presents the research results on the contribution of user-centered data mining based on the standard principles, focusing on the analysis of survival and mortality of lung cancer cases. Researchers used anonymized data from previously diagnosed instances in the health database to predict the condition of new patients who have not had their results yet. Medical professionals specializing in this field provided feedback on the usefulness of the new software, which was constructed using WEKA data mining tools and the Naive Bayes method. The results of this article provide elements of interest to discuss the value of identifying or discovering relationships in apparently “hidden” information to propose strategies to counteract health problems or prevent future complications and thus contribute to improving the quality of care. Life of the population, as would be the case of data mining in the health area, has shown applicability in the early detection and prevention of diseases for the analysis of genetic markers to determine the probability of a satisfactory response to medical treatment, and the most accurate model was Naive Bayes (91.1%). The Naive Bayes algorithm’s closest competitor, bagging, came in second with 90.8%. The analysis found that the ZeroR algorithm had the lowest success rate at 80%.
Alkaloids from Aconitum carmichaelii Alleviates DSS-Induced Ulcerative Colitis in Mice via MAPK/NF-κB/STAT3 Signaling Inhibition
Authors: Huang Chuanqi , Dong Junli , Cheng Lu , Ma Haoran , Wang Fuqian , Feng Yan , Zhang Shu , Li Yuling , Zhang Dan , Jin Xiaoqi , Xiong Xin , Jiang Jie , Wu Bin , Xu Hongfeng , Zhang Geng
Published: June 2022

Fuzi (Aconitum carmichaelii Debx) has been traditionally used for the treatment of ulcerative colitis (UC) in China for thousands of years. The total alkaloids of A. carmichaelii (AAC) have been considered as the main medicinal components of fuzi, whereas its underlying anti-UC mechanisms remain elusive. In the present study, the dextran sulfate sodium (DSS)-induced UC mice model, which was consistent with the symptoms and pathological features of human UC, was established to comprehensively evaluate the anti-UC effects of AAC. The results indicated that AAC effectively improved the weight loss, disease activity index (DAI), spleen hyperplasia, and colon shortening, and thus alleviated the symptoms of UC mice. Meanwhile, AAC not only inhibited the MPO enzyme and the abnormal secretion of inflammatory cytokines (TNF-α, IL-1β, IL-6, IFN-γ, and IL-17A) and suppressed the overexpression of inflammatory mediators (TNF-α, IL-1β, and IL-6) of mRNA but also reduced the phosphorylation of p38 MAPK, ERK, and JNK, and the protein expressions of NF-κB, IκB-α, STAT3, and JAK2 in the colon tissue. Furthermore, the LC-MS/MS quantitative determination suggested that the three low toxic monoester alkaloids were higher in both contents and proportion than that of the three high toxic diester alkaloids. Additionally, molecular docking was hired to investigate the interactions between alkaloid-receptor complexes, and it suggested the three monoester alkaloids exhibited higher binding affinities with the key target proteins of MAPK, NF-κB, and STAT3. Our finding showcased the noteworthy anti-UC effects of AAC based on the MAPK/NF-κB/STAT3 signaling pathway, which would provide practical and edge-cutting background information for the development and utilization of A. carmichaelii as a potential natural anti-UC remedy.
[Retracted] Performance of High Strength Concrete Containing Palm Oil Fuel Ash and Metakaolin as Cement Replacement Material
Authors: Ismail Mohd Hanif , Megat Johari Megat Azmi , Ariffin Kamar Shah , Jaya Ramadhansyah Putra , Wan Ibrahim Mohd Haziman , Yugashini Yugashini
Published: June 2022

The release of carbon dioxide (CO2) from the cement industry into the atmosphere and the increasing amount of oil palm waste from industrial plants lead to the problem of the greenhouse effect and environmental pollution. Studies on palm fuel ash (POFA) and metakaolin (MK) as a semi‐substitute for cement can reduce the problem of the greenhouse effect and environmental pollution, as well as increase and improve the level of strength of concrete. Using mechanical and transport test methods as well as assisted by comparative X‐ray Diffraction (XRD) analysis can prove the use of pozzolanic material as a catalyst to the compressive strength of concrete. In this study, slump test, compressive strength test, and water absorption test were conducted on samples containing total cement substitution up to 40% of POFA and MK as cement substitutes. The partial replacement of cement with MK and POFA reduced the workability of the concrete. However, binary and ternary blended concrete containing MK and POFA provide better compressive strength compared to OPC concrete up to 9.5% after 28 days age. Moreover, it was found that, the compressive strength of concrete containing POFA was better than the concrete containing MK up to 4%.
Statistical Analysis of the Influence of Sino-U.S. Minimum Wages on Employment
Authors: Fu Duanxiang , Zhang Qing , Zhang Mengjie
Published: June 2022

From 2004 to 2015, the minimum wage’s employment effect varied according to the minimum wage level, FDI, per capita gross domestic product, and labor production in 31 Chinese provinces. Regardless of the amount of investment, the minimum wage raise lowered hiring as FDI intake increased. In this research paper, we aim to study different scenarios that can help raise the minimum wage without harming employment. We will evaluate the influence of employment’s minimum wage change in China (world's largest emerging market) and the U.S. (the largest developed country) using co-integration regression analysis. The minimum wage system is a basic wage and social security system that the governments have used to interfere directly in labor market wages. The data enumerated and collected is from 2003 to 2016, which is published annually by both governments. Our emphasis is on the overall employment impact, accommodation, and foodservice industry impact. According to the findings, the minimum wage increase has a minor impact on overall employment in China. However, it has a beneficial impact on employment in the U.S. In China and the U.S., minimum wage raise has a significant beneficial influence on employment in the retail and foodservice industries. The impact on the U.S., however, is higher than on China.