bluuebunny/crossref_metadata_2025 huggingface dataset:
Clinical Relevance of the Relationship between Trabecular Bone Score and Metabolic Syndrome
Authors: Shih Chi-Wei , Fang Wen-Hui , Chen Wei-Liang
Published: January 2022

The Trabecular Bone Score (TBS) is an indirect measurement of bone quality, and studies have shown that TBS is an independent predictor of fracture risk. This cross-sectional investigation aimed to explore the relationship between metabolic syndrome (MetS) and TBS using data from the 2005–2006 US National Health and Nutrition Examination Survey. The association between individual MetS components and TBS was examined. There was a significant linear decrease in TBS with an increase in the number of MetS components. The β coefficients of TBS among participants with 3 and ≥4 MetS components were −0.015 and −0.041 (p=0.006 and p<0.001, respectively). Among participants with MetS, high systolic blood pressure, abdominal obesity, and high serum levels of triglycerides and glucose were significantly associated with lower TBS in fully adjusted models (p<0.05). Furthermore, there was a significant linear decrease in TBS with an increase in the number of MetS components in both sexes. TBS significantly decreased with an increasing number of MetS components in a US population. The components of MetS, including systolic blood pressure, waist circumference, and serum levels of triglyceride and glucose, exhibited a negative association with TBS.
Are muscle fiber types different between normal and dark-cutting beef?
Authors: Roy Bimol C. , Mahmood Shahid , Bruce Heather L.
Published: January 2022

Muscle fiber (MF) characteristics of longissimus thoracis (LT) muscles from heifer (n = 11) and steer (n = 12) carcasses graded Canada AA (AA, normal, n = 4 per sex) or dark-cutting (Canada B4) were examined and related to beef quality. Atypical (AB4, pH < 5.9, n = 4 per sex) and typical (TB4, pH > 5.9, n = 3 and 4 for heifers and steers, respectively) dark-cutting carcasses were represented. Muscle fiber type proportions did not differ between AA, AB4, and TB4 muscles, although type I and IIB muscle fiber diameters were greater in TB4 than in AA LT. That AB4 muscle fiber proportions were not different from AA and TB4 muscles suggests that the increased MF diameter of TB4 muscle was due to water retained by muscle proteins at high ultimate pH, as evidenced by decreased cooking loss. Dark-cutting was therefore unrelated to muscle fiber proportions, and increased type I and IIB diameters in dark cutting LT were likely driven by elevated intramuscular ultimate pH.
Rotational grazing increases purple prairie clover frequency in the rangeland plant communities under semi-arid environment
Authors: Zhao Tianqi , Iwaasa Alan D.
Published: January 2022

Purple prairie clover (PPC, Dalea purpurea Vent.) is a grazing tolerant perennial legume with good nutritional quality and is widely distributed across North America. Deferred rotational grazing (DR) and continuous grazing (CG) are the most widespread grazing systems on North American grasslands. We conducted a 10 yr grazing study to assess the effects of environmental factors and grazing on the frequency of PPC in plant communities. The results showed that the frequency of PPC decreased and then increased with increasing precipitation under CG (P < 0.05), while there was no significant change under DR (P > 0.05). Meanwhile, PPC frequency increased with temperature under DR (P < 0.05), but did not change under CG (P > 0.05). Both grazing systems and the number of grazing years had a significant effect on PPC frequency (P < 0.05), and there is no interaction between those two factors (P > 0.05). We found that from 2011 to 2020, the growth rate of PPC population is 18.24% and 11.69% per year under DR and CG grazing, respectively. Moreover, after 10 yr of grazing, the PPC increase in DR was 22.86% higher than that of CG. Thus, selecting the DR grazing system can increase PPC and is an effective practice for coping with environmental changes.
CDC Lewochko yellow field pea
Authors: Warkentin Tom , Tar’an Bunyamin , Banniza Sabine , Vandenberg Albert , Bett Kirstin , Arganosa Gene , Barlow Brent , Horner Jaret , de Silva Devini , Wagenhoffer Stacey , Liu Yong , Mikituk Kevin , Weerasinghe Anoja , Raymond Dayna
Published: January 2022

CDC Lewochko, a yellow cotyledon field pea (Pisum sativum L.) cultivar, was released in 2018 by the Crop Development Centre, University of Saskatchewan, SK, Canada, for distribution to Select seed growers through the Variety Release Committee of the Saskatchewan Pulse Growers. CDC Lewochko has good lodging resistance, medium time to maturity, medium-sized round seeds, mean seed protein concentration of 21.0%, and good yielding ability. It is resistant to powdery mildew and moderately susceptible to Mycosphaerella blight and Fusarium root rot. CDC Lewochko is adapted to the field pea growing regions of western Canada.
CDC Tollefson yellow field pea
Authors: Warkentin Tom , Tar’an Bunyamin , Banniza Sabine , Vandenberg Albert , Bett Kirstin , Arganosa Gene , Barlow Brent , Horner Jaret , de Silva Devini , Wagenhoffer Stacey , Liu Yong , Mikituk Kevin , Weerasinghe Anoja , Raymond Dayna
Published: January 2022

CDC Tollefson, a yellow cotyledon field pea (Pisum sativum L.) cultivar, was released in 2021 by the Crop Development Centre, University of Saskatchewan, SK, Canada, for distribution to Select seed growers through the Variety Release Committee of the Saskatchewan Pulse Growers. CDC Tollefson has good lodging resistance, medium time to maturity, medium-sized round seeds, mean seed protein concentration of 23.9%, and good yielding ability. It is resistant to powdery mildew and moderately susceptible to Mycosphaerella blight and Fusarium root rot. CDC Tollefson is adapted to the field pea growing regions of western Canada.
Microanatomy and ultrastructure of kidney interstitial cells and nephron in brown trout (Salmo trutta) at different stages of the life cycle
Authors: Flerova Ekaterina A. , Yurchenko Victoria V. , Sapozhnikova Yulia P. , Sendek Dmitry S. , Titov Sergey F. , Morozov Alexey A.
Published: January 2022

The study focuses on the microanatomy and ultrastructural changes in the trunk kidney interstitium cells and nephrons in parr, smolt, and spawning brown trout (Salmo trutta Linnaeus, 1758) sampled in Luga River and Solka River, the tributaries of the Baltic Sea. Regardless of the type of cells or their structure, there were changes in their areas and in the number and structure of organelles responsible for the transport, synthetic, and energetic functions of cells. Our data on the morphology of the nephron combined with data on its physiology suggest a fundamental change in kidney function during the parr–smolt transformation before migration; this could be a pre-adaptation for a successful life in saltwater where urine output is sharply reduced. Thus, detected structural features of the trunk kidney in S. trutta are cytological markers of the migration process. The numbers of lymphocytes, neutrophils, and eosinophils with segmented nuclei increased from parr to smolts and then to spawners; only monotypic specific granules in neutrophils were found in smolts and spawners. Cells with radially arranged vesicles were described for the first time in S. trutta renal interstitium. Their origin has not yet been established. The shape of these cells changed from spherical to trihedral during fish maturation. All the above ultrastructural changes of renal interstitium cells could be considered cytological markers of cell maturity.
Neutrino interaction measurements with the MicroBooNE and ArgoNeuT liquid argon time projection chambers
Authors: Duffy K. E. , Furmanski A. P. , Gramellini E. , Palamara O. , Soderberg M. , Yang T.
Published: January 2022

Precise modeling of neutrino interactions on argon is crucial for the success of future experiments such as the Deep Underground Neutrino Experiment (DUNE) and the Short-Baseline Neutrino (SBN) program, which will use liquid argon time projection chamber (LArTPC) technology. Argon is a large nucleus, and nuclear effects—both on the initial and final-state particles in the interaction—are expected to be large in neutrino–argon interactions. Therefore, measurements of neutrino scattering cross sections on argon will be of particular importance to future DUNE and SBN oscillation measurements. This article presents a review of neutrino–argon interaction measurements from the MicroBooNE and ArgoNeuT collaborations, using two LArTPC detectors that have collected data in the NuMI and Booster Neutrino Beams at Fermilab. Measurements are presented of charged-current muon neutrino scattering in the inclusive channel, the ‘0$$\pi $$
π
’ channel (in which no pions but some number of protons may be produced), and single pion production (including production of both charged and neutral pions). Measurements of electron neutrino scattering are presented in the form of $$\nu _e+\bar{\nu }_e$$

ν
e

+

ν

¯

e

 inclusive scattering cross sections.
Temperature behavior of X-Ray luminescence spectra of ZnSe
Authors: Abbasov I. , Musayev M. , Askerov D. , Huseynov J. , Gavrishuk E. , Asadullayeva S. , Rajabli A. , Askerov D.
Published: January 2022

In the given paper, the temperature dependences ([Formula: see text]–300 K) of the green band intensity at wavelengths [Formula: see text] nm and [Formula: see text] nm have been measured and observed, respectively, from the polished and unpolished surface (PS and unPS) of a polycrystalline CVD (chemical vapor deposition) ZnSe sample upon excitation by X-ray quanta ([Formula: see text]. In both cases, the activation energy of thermal quenching has been determined, and the reasons for thermal quenching have been considered in detail. Along with XRL spectra analysis, the temperature behavior of the green band observed upon excitation by an ultraviolet (UV) laser (He–Cd, [Formula: see text] nm) from the PS and unPS in the temperature range [Formula: see text]–200 K has been discussed in more detail.
Optical one-dimensional waveguides in oxyfluoride glass fabricated by Helium Ion implantation
Authors: Xing Shu-Dong , Yin Hao-Yang , Wang Tong , Zhang Liao-Lin , Yue Qing-Yang , Fu Li-Li , Long Xue-Wen , Zheng Rui-Lin , Liu Chun-Xiao
Published: January 2022

In this work, a one-dimensional waveguide is formed by virtue of the helium ion implantation in the oxyfluoride glass (OFG). The energy and the fluence of the ion implantation are 0.4 MeV and [Formula: see text] [Formula: see text], respectively. The m-line curve with the effective refractive indices of the modes was recorded by using the prism coupling system. The energy loss distribution and the refractive index profile were calculated by the stopping and range of ions into matter (SRIM)-2013 and the RCM, respectively. The light modal profile was measured by the end-facet coupling system. It suggests that the He[Formula: see text]-ion implanted OFG waveguides have the potential to act as integrated photonic devices.
A bicategorical approach to actions of monoidal categories
Authors: Femić Bojana
Published: January 2022

We characterize in bicategorical terms actions of monoidal categories on the categories of representations of algebras and of relative Hopf modules. For this purpose we introduce 2-cocycles in any 2-category [Formula: see text]. We observe that under certain conditions the structures of pseudofunctors between bicategories are in one-to-one correspondence with (twisted) 2-cocycles in the image bicategory. In particular, for certain pseudofunctors to [Formula: see text], the 2-category of categories, one gets 2-cocycles in the free completion 2-category under Eilenberg–Moore objects, constructed by Lack and Street. We introduce (co)quasi-bimonads in [Formula: see text] and a suitable bicategory of Tambara (co)modules over (co)quasi-bimonads in [Formula: see text] fitting the setting of the latter pseudofuntors. We describe explicitly the involved 2-cocycles in this context and show how they are related to Sweedler’s and Hausser–Nill 2-cocycles in [Formula: see text], which we define. This allows us to recover some results of Schauenburg, Balan, Hausser and Nill for modules over commutative rings. We fit a version of the 2-category of bimonads in [Formula: see text], which we introduced in a previous paper, in a similar setting as above and recover a result of Laugwitz. We observe that pseudofunctors to [Formula: see text] in general determine what we call pseudo-actions of hom-categories, which correspond to the whole range of a 2-cocycle, so that the described actions of categories appear as restrictions of these 2-cocycles to endo-hom categories.
Bacteria as an Efficient Bacteriosystem for the Synthesis of Nanoparticles: A Bibliometric Analysis
Authors: Vosoughian Nikta , Mohammadi Ali , Hamayeli Homa
Published: January 2022

The growth trend of publications in the field of nanoparticles biosynthesis by bacteria was analyzed using bibliometric techniques to the identification of the areas with significant development and the orientations that have guided the research on bacteria. This study extracted data from the Clarivate Analytics Web of Science (WoS) and Scopus between 2000 and 2020 to compare results. The number of articles published annually, participating countries, resource growth rate, most used keywords and research collaborations were obtained from bibliometric analysis. The results showed that nanoparticle documents in materials science, biochemistry, genetics and molecular biology have improved citation rates as the authors researched in multidisciplinary areas. Although these keywords have the most sites, they are not emerging keywords, and their most common use was in the years 2014–2018. The results showed the upward trend of articles published from 2000 to 2020, most of which were related to the last 10 years. The 5 countries that had the most articles published in this field were China, USA, India, Germany and Iran. The top sources that had the most published documents in this field had a similar scope to our research. The results of each section had a significant relationship with other sections of this study. VOS viewer program was used for quantitative analysis. It seems that bibliometric methods will complement meta-analysis and qualitative structured literature reviews as a method for reviewing and evaluating scientific literature. The advantage of the bibliographic analysis was the awareness of trends in a study area.
Hyperbolic functions obtained from k-Jacobsthal sequences
Authors: Kuloğlu Bahar , Özkan Engin
Published: January 2022

In this paper, an expansion of the classical hyperbolic functions is presented and studied. Also, many features of the [Formula: see text]-Jacobsthal hyperbolic functions are given. Finally, we introduced some graph and curved surfaces related to the [Formula: see text]-Jacobsthal hyperbolic functions.
Counting ternary trees according to the number of middle edges and factorizing into (3/2)-ary trees
Authors: Prodinger Helmut
Published: January 2022

The sequence A120986 in the Encyclopedia of Integer Sequences counts ternary trees according to the number of edges (equivalently nodes) and the number of middle edges. Using a certain substitution, the underlying cubic equation can be factored. This leads to an extension of the concept of [Formula: see text]-ary trees, introduced by Knuth in his christmas lecture from 2014.
A cluster-based multiparametric similarity test for the compartmentalization of crystalline rocks into structural domains
Authors: Abi Attoumane , Walter Julien , Saeidi Ali , Chesnaux Romain
Published: January 2022

Usually, fracture sampling studies comprise the collection of several fracture samples that involve many fracture clusters. Grouping fracture samples into structural domains is generally useful for geologists, hydrogeologists and geomechanicians as a region of fractured rock is subdivided into subregions with similar behaviour in terms of their hydromechanical properties. One of the common methods used for grouping fracture samples into structural domains considers the fracture orientation of clusters and ignores several fracture parameters, such as fracture spacing, aperture and persistence, which are important for fluid circulation in the rock mass. In this study, we proposed a new cluster-based similarity method that considers the orientation of clusters as well as the clusters’ aperture, persistence and fracture spacing. Field investigations were conducted in the Grenville geological province of the Canadian Shield in the Lanaudière region, Quebec, Canada, where fractures were sampled from 30 outcrops and four boreholes. The proposed method is more suitable than other methods, and has applications in hydrogeology, rock mechanics and particularly in studies of fluid circulation in the rock mass. In addition, a method for the compartmentalization of a given study area into structural domains by means of Voronoi diagrams is also proposed.
Carbon cycle perturbation and mercury anomalies in terrestrial Oceanic Anoxic Event 1b from Jiuquan Basin, NW China
Authors: Zhao Xiangdong , Zheng Daran , Wang He , Fang Yanan , Xue Naihua , Zhang Haichun
Published: January 2022

Oceanic Anoxic Event (OAE) 1b is well documented in western Tethys; however, records in Eurasia are still lacking. Here, we carried out high-resolution organic carbon isotope (δ
13
C
org
), total organic carbon (TOC) content and mercury (Hg) concentration analysis of the lacustrine sediments from the Xiagou and Zhonggou formations in the Hanxiagou section of the Jiuquan Basin, NW China. The lacustrine δ
13
C
org
curve presents three stages of negative excursions above the basalt layer dated at 112.4 ± 0.3 Ma in the lowermost Zhonggou Formation. The three negative δ
13
C
org
excursions correspond well with the three sub-events (Kilian, Paquier and Leenhardt) of the OAE 1b in the Poggio le Guaine (central Italy), Vocontian Basin (SE France) and St Rosa Canyon (NE Mexico) sections, supporting the record of the terrestrial OAE 1b in the Jiuquan Basin. Five mercury enrichment intervals in Hg/TOC ratios were recognized, indicating that the pulsed volcanism from the Southern Kerguelen Plateau likely triggered OAE 1b. However, the decoupling between negative isotopic excursion shifts and mercury enrichments, signifying another carbon reservoir (with no link to mercury), probably contributed to the global carbon cycle perturbation during the OAE 1b period. Our results provide direct evidence to link OAE 1b and the terrestrial ecosystem in Eurasia.
Review—Synthesis and Electrochemical Applications of Molybdenum Carbide: Recent Progress and Perspectives
Authors: Upadhyay Sanjay , Pandey O. P.
Published: January 2022

In this review, we summarize the latest research progress on Mo2C based materials for various electrochemical applications. It starts with discussing the different synthesis methods and the tactics for modifying the physicochemical characteristics of Mo2C. In addition, the variables that influence the morphology and electrochemical performance of Mo2C have been explored. The synthesis methods are examined based on their tricks, benefits, and drawbacks, including solid-gas, solid-solid, solid-liquid, and some other processes (chemical vapor deposition, Sonochemical, microwave-assisted, plasma, etc.). Methods that are safe, cost-effective, environmentally friendly, and suited for large-scale production of Mo2C are given special consideration. The solid-solid reaction is found to be a facile and cost-effective method to synthesize Mo2C structures having high surface area and small particle size. Also, the various electrochemical applications of Mo2C are reviewed. Mo2C is an extremely active and durable electrocatalyst mainly for hydrogen evolution reaction (HER). The electrochemical parameters such as activity, stability, etc., are examined and described in detail. The possible ways to improve the electrochemical performance of Mo2C are discussed. Finally, the difficulties in developing Mo2C nanostructures that are suited for energy storage and conversion applications are discussed.
Simulation and Formation Mechanisms of Urban Landscape Design Based on Discrete Dynamic Models Driven by Big Data
Authors: Cao Ke , Xiao Jing , Wu Yan
Published: January 2022

Urban landscape design as a contemporary art embodies postmodernist philosophical thinking, aesthetic thinking, and breaking the traditional concept of art, and it is a new way of creating and presenting art. Big data technology characterized by large scale, speed, variety, value, and uncertainty of data is used to achieve urban landscape design. In this article, during the research process, we strive to raise the revelation of the design layer rather than the brand new level of cross‐fertilization and interaction between big data‐driven discrete dynamic model and urban landscape design; we also reveal how the benefits of promoting urban development and harmonious life are achieved in the interactive expression of the urban landscape after the application of the big data‐driven discrete dynamic model, which provides designers and related professionals with more detailed and novel design ideas at the theoretical level and makes the theory of big data‐driven discrete dynamic models in landscape design interactive methods more enriched. Finally, this article puts forward its thinking and outlook on the design of the big data‐driven discrete dynamic model in the interactivity of urban landscape design, hoping that artists will strengthen its functional and material design elements when creating performance. Moreover, more design means of emerging technologies of modern science and technology should be integrated so that modern urban landscape can achieve ordinary and uncommon benefits and promote the rapid development of the big data‐driven discrete dynamic model in urban landscape design development.
Analogous Atomic and Electronic Properties between

V

N

and

V

N

C

B

Defects in Hexagonal Boron Nitride
Authors: Moon Chang-Youn , Hong Kee-Suk , Kim Yong-Sung
Published: January 2022

We investigate defect properties in hexagonal boron nitride (hBN) which is attracting much attention as a single photon emitter. Using first-principles calculations, we find that nitrogen-vacancy defect

V

N

has a lower energy structure in

C

1
h

symmetry in 1− charge state than the previously known

D

3
h

symmetry structure. Noting that carbon has one more valence electron than boron species, our finding naturally points to the correspondence between

V

N

and

V

N

C

B

defects with one charge state difference between them, which is indeed confirmed by the similarity of atomic symmetries, density of states, and excitation energies. Since

V

N

C

B

is considered as a promising candidate for the source of single photon emission, our study suggests

V

N

as another important candidate worth attention, with its simpler form without the incorporation of foreign elements into the host material.
An Optimal Dispatch Framework of Electric and Heating Networks Based on Controllable Electric and Thermostatically Controlled Loads
Authors: Ma Yiming , Dong Jian , Zhou Xiran , Zhang Guanfeng , Wang Haixin , Yang Junyou
Published: January 2022

With the increasing capacity of wind power generators (WTGs), the volatility of wind power could significantly challenge the stability and economy of electric and heating networks. To tackle this challenge, this paper proposes an optimal dispatch framework based on controllable load (including controllable electric load and controllable thermostatically load) to reduce wind power curtailment. A forecasting model is developed for the controllable load, which comprehensively considers autocorrelation, weather factor, and consumers’ behavior characteristics. With adjusting controllable load, an optimal dispatch model of power system is then established and resolved by Sequential Least Squares Programming (SLSQP) method. Our method is verified through numerous simulations. The results show that, compared with the state-of-the-art techniques of support vector machine and recurrent neural networks, the root mean square error with the proposed long short-term memory can be reduced by 0.069 and 0.044, respectively. Compared with conventional method, the peak wind power curtailment with dispatching controllable load is reduced by nearly 10% and 5% in two cases, respectively.
Case Report of Rare Parathyroid Tumor with Atypical Presentation and Early Diagnosis
Authors: Ikeda Cavamura Érika Mayumi , Miyake Fabiane Karen , Wiezel Jéssica Yachio , Maranho Laura Schwartz , Takada Luis Felipe Inglês , Mendonça Renata Cassitas , Fagundes Tamila Sohn
Published: January 2022

Parathyroid carcinoma is a rare condition, accounting for 1% of cases of hyperparathyroidism. Other causes of hyperparathyroidism main group are single adenoma and parathyroid hyperplasia. The clinics presented by the patients are typical of hyperparathyroidism (fatigue, weakness, weight loss, and anorexia), bone impairment, pain, and fractures, in addition to affecting the renal system The diagnosis of parathyroid carcinoma is most often done postoperatively by means of a histological study. The case report is a 49-year-old male patient who came to the emergency room of Mackenzie Evangelical University Hospital complaining of progressive “muscle weakness” and “joint” that started about 2 months ago. To raise the suspicion of parathyroid carcinoma, it is essential to perform the correlation of the clinical picture, biochemical values, and imaging exams, but to obtain the definitive diagnosis, intraoperative recognition of the tumor and the result of the histopathological examination of the resected tumor are necessary.
Modeling and Simulation of Consumer Preference Decision for Commercial Complex Location Based on System Dynamics
Authors: Guo Bin , Zhang Bing , Li Yang
Published: January 2022

The influencing factors of consumer shopping behavior play a key role in the later performance of commercial real estate enterprises. On the basis of analyzing the influence factors of customer patronage and the influence factors of commercial complex site selection decision and their relationship, a causal relationship graph and a system dynamic model are established, which can describe the influence of customer preference on commercial complex site selection decision. And introducing customer subjective factors optimize the original pure objective factors site selection decision model. The model is implemented by using the system dynamics modeling tool Vensim. At the same time, the model is verified by using the data of the first-hand investigation. The results show that the calculated data of the model is in good agreement with the actual data. The results show that the system dynamics method can effectively simulate the influence of various factors on the decision-making of the commercial complex. As the forecast of the model, the key indexes of the decision-making of the city commercial complex are discussed, and the measures to be taken are put forward, which can provide reference for the decision-making of the location.
Dynamic Rock‐Breaking Process of TBM Disc Cutters and Response Mechanism of Rock Mass Based on Discrete Element
Authors: Zhang Qinglong , Zhu Yanwen , Du Canxun , Du Sanlin , Shao Kun , Jin Zhihao
Published: January 2022

Rock‐breaking efficiency of full‐face rock tunnel boring machine (TBM) is closely related to the performance of the disc cutter and the characteristics of the rock mass. In the point of view of mesomechanics, the particle flow code (PFC) is used to establish a numerical model of the rock mass and the disc cutter, and the process of TBM disc cutter intrusion into the rock mass is analyzed. The dynamic response mechanism and crack evolution process of the rock mass under the action of the disc cutter are studied on the basis of micromechanics, and the relationship between the rock mass crack, penetration, and cutting force during the intrusion of the disc cutter is revealed. The sensitivity analysis is carried out on the confining pressure conditions and the influence parameters of the disc cutter spacing. The results show that the rock breaking by disc cutter undergoes the transformation characteristics of compaction, shearing, and tension failure modes, and the failure process of the rock mass is the joint action of tension and shear. In the whole process of rock breaking, the disc cutter has the phenomenon of repeated loading‐unloading alternation and leaping rock breaking; after the penetration of the disc cutter reached 9.0 mm, penetration creaks begin to appear on the surface of the rock mass; the penetration was obviously reduced with the increase of confining pressure, and it is mainly the penetration cracks on the surface; after the disc cutter spacing reaches 100.0 mm, there is no penetration crack between the two disc cutters. The research conclusion can provide a reference for the disc cutter optimization design.
Singularity-Free Adaptive Controller for Uncertain Hysteresis Suspension Using Magnetorheological Elastomer-Based Absorber
Authors: Truong Hoa Thi , Nguyen Xuan Bao , Bui Cuong Mai
Published: January 2022

The magnetorheological elastomer (MRE) is a smart material widely used in recent vibration systems. A system using these materials often faces difficulties designing the controller such as unknown parameters, hysteresis state, and input constraints. First, a model is designed for the MRE-based absorber to portray the behavior of MRE and predict the appropriate electric current supplied. The conventional adaptive controller often suffers from so-called control singularities. The singularity-free adaptive controller is proposed to eliminate the singularity with parametric uncertainty. The proposed controller consists of four components: an adaptive linearizing controller, a deputy adaptive neural network controller, an auxiliary part designed for the controller to overcome the input constraint problem, and a smooth switching algorithm used to exchange the takeover rights of the two controllers. Moreover, the controller is designed to obtain the stabilization of hysteretic state estimation for the vibration system. The adaptive algorithms are proposed to update the unknown system parameters and to observe the unmeasurable hysteretic state. Meanwhile, closed-loop system stability is comprehensively assessed. Finally, the simulation performed on a quarter-car suspension with an MRE-based absorber shows the proposed controller's efficiency.
Virtual Reality Technology in Visual Design of Artistic Images: Analysis and Applications
Authors: He Ling , Zhu Shanshan
Published: January 2022

Within a few decades of development, Internet is been refreshing the world’s awareness of its development and potentials at an unexpected speed. In recent years, virtual reality technology has begun to be applied to more and more fields. Especially in instant transmission of information, the applications of VR are incomparable. Akin to the wide-ranged advantages of the technology in education and health, the applications of VR in the art of artistic image designing need to be addressed. With this research work, a comprehensive study is presented about the applications of virtual reality in the art of image visualization. The research intends to analyze the possibility of intermingling modern image visualization with the emerging VR technology. Following a systematic approach, the history and development of display design are reviewed besides studying the artistry techniques used in the technology of art image visualization design. The interdisciplinary association of the two fields is explored with the help of relevant algorithms. The model proposed in the paper for the design of art image is based on the visual interactive process, rigorous assembly sequence, and appropriate equipment mode. As a result, the whole design process is more controllable and feasible. The suggested design concept is verified dynamically. Through the collection and comparison of feedback information, the hypothesis algorithm of the model is updated to accommodate the dynamic information so that to reflect the complete image design process. To assess performance of the model, evaluation was conducted from various perspectives. The three basic image operations such as illumination change, occlusion change, and color change were performed by using the two technologies such as the traditional image design and VR-based image design. From the comparison of experimental data, it was revealed that the effects of traditional art image visualization products produced by the art image visualization and that of VR technology are quite different. For instance, the visualization score achieved for the lighting change operation using the VR technology was 95.48%, whereas 85.57% was obtained for the same operation using the traditional image design technology. Similarly, while adding visual effects using the VR technology, an average of 9% higher score was obtained for the said image operations. The promising results attained for the VR-based design testify that the technology is feasible and suitable to be intermingled with the visual design of art image. As a whole, the findings justify that the proposed approach is quite applicable in visual design of art image systems. In view of the significance of the research, the study can be extended to related domains of computer-based designing and visualization as well.
A Novel Frechet-Type Probability Distribution: Its Properties and Applications
Authors: Ali Muhammad , Khalil Alamgir , Mashwani Wali Khan , Alrajhi Sharifah , Al-Marzouki Sanaa , Shah Kamal
Published: January 2022

In this article, a new lifetime model, referred to as modified Frechet–Rayleigh distribution (MFRD), is developed by accommodating an additional parameter in Rayleigh distribution on the basis of the modified Frechet method. Numerous statistical properties of the suggested model are derived and discussed. The technique of maximum likelihood (ML) estimation is adopted to get estimates of the parameters. The suggested model is very flexible and has the capability to model datasets having both monotonic and nonmonotonic failure rates. The proposed model is applied on two real datasets for checking its performance in comparison with available well-known models. The suggested model has shown outclass performance in comparison with the available versions of the Rayleigh distribution used in the literature.
Anti-SARS-CoV-2 Antibody Level among Renal Transplant Recipients: A Case Report from Nepal
Authors: Ranabhat Kamal , Saud Bhuvan , Adhikari Saroj , Bhattarai Suraj , Adhikari Rojan , Luitel Bhoj Raj , Sigdel Mahesh Raj
Published: January 2022

Globally, SARS-CoV-2 has caused significant public health burden, mainly in patients with underlying comorbidities including both communicable and noncommunicable diseases. Solid organ transplant recipients under immunesupressive medication are also amongst the high risk group. There is only sparse data on immunity against SARS-CoV-2 infection among renal transplant recipients. In this case report, we present the level of anti-SARS-CoV-2 antibody of three kidney transplant recipients after vaccination against COVID-19 virus. All three cases had received two doses of Oxford-AstraZeneca COVID-19 vaccine AZD1222 (ChAdOx1). Serological analysis showed protective level of circulating antibodies in the blood of all three cases. Although two out of three patients in the study acquired COVID-19 infection after immunization, they recovered with mild clinical course. Hence, we conclude that despite immune-suppressed status of transplant recipients, COVID-19 vaccination could protect them against severe illness.
Clinical Data Analysis for Prediction of Cardiovascular Disease Using Machine Learning Techniques
Authors: Nadakinamani Rajkumar Gangappa , Reyana A. , Kautish Sandeep , Vibith A. S. , Gupta Yogita , Abdelwahab Sayed F. , Mohamed Ali Wagdy
Published: January 2022

Cardiovascular disease is difficult to detect due to several risk factors, including high blood pressure, cholesterol, and an abnormal pulse rate. Accurate decision-making and optimal treatment are required to address cardiac risk. As machine learning technology advances, the healthcare industry’s clinical practice is likely to change. As a result, researchers and clinicians must recognize the importance of machine learning techniques. The main objective of this research is to recommend a machine learning-based cardiovascular disease prediction system that is highly accurate. In contrast, modern machine learning algorithms such as REP Tree, M5P Tree, Random Tree, Linear Regression, Naive Bayes, J48, and JRIP are used to classify popular cardiovascular datasets. The proposed CDPS’s performance was evaluated using a variety of metrics to identify the best suitable machine learning model. When it came to predicting cardiovascular disease patients, the Random Tree model performed admirably, with the highest accuracy of 100%, the lowest MAE of 0.0011, the lowest RMSE of 0.0231, and the fastest prediction time of 0.01 seconds.
Tribological Properties of Carbon Nanotube and Carbon Nanofiber Blended Polyvinylidene Fluoride Sheets Laminated on Steel Substrates
Authors: Nisha M. S. , Mullai Venthan S. , Senthil Kumar P. , Singh Dalbir
Published: January 2022

Nanostructured carbon dispersed polymer nanocomposites are promising materials for tribological applications. Carbon nanofiber (CNF) and carbon nanotube (CNT) dispersed polyvinylidene fluoride (PVDF) nanocomposite was prepared by chemical synthesis route. Morphology and microstructure of well-dispersed CNF and CNT in PVDF were specified by scanning electron microscope and X-ray diffraction, respectively. Moreover, chemical and functional characteristics were examined by Raman spectroscopy and FTIR investigation. The friction coefficient of PVDF nanocomposite laminated on steel substrate decreased with an increase in the dispersed quantity of CNF and CNT. The friction coefficient of PVDF is approximately 0.27; however, the addition of carbon nanomaterial in PVDF will further decrease the friction coefficient between 0.24 and 0.17. This value was significantly less in CNT dispersed PVDF nanocomposite. This could be explained by easy shearing and rolling action contact interfaces.
Risk Analysis of Textile Industry Foreign Investment Based on Deep Learning
Authors: Liu Jingyi , Li Jiaolong
Published: January 2022

With the decline of China’s economic growth rate and the uproar of antiglobalization, the textile industry, one of the business cards of China’s globalization, is facing a huge impact. When the economic model is undergoing transformation, it is more important to prevent enterprises from falling into financial distress. So, the financial risk early warning is one of the important means to prevent enterprises from falling into financial distress. Aiming at the risk analysis of the textile industry’s foreign investment, this paper proposes an analysis method based on deep learning. This method combines residual network (ResNet) and long short-term memory (LSTM) risk prediction model. This method first establishes a risk indicator system for the textile industry and then uses ResNet to complete deep feature extraction, which are further used for LSTM training and testing. The performance of the proposed method is tested based on part of the measured data, and the results show the effectiveness of the proposed method.
A Pan-Cancer Study of KMT2 Family as Therapeutic Targets in Cancer
Authors: Zhu Jiamin , Liu Zhili , Liang Xiao , Wang Lu , Wu Dan , Mao Weidong , Shen Dong
Published: January 2022

Objective. Exome sequencing studies have shown that the histone-lysine N-methyltransferase 2 (KMT2) gene is one of the most commonly mutated genes in a range of human malignancies and is linked to some of the most common and deadly solid tumors. However, the connection between this gene family’s function and tumor type, immunological subtype, and molecular subtype dependency is still unknown. Methods. We examine the expression patterns of the histone-lysine N-methyltransferase 2 (KMT2) gene, as well as their relationship to patient survival. We also used a pan-cancer analysis to link their function to immunological subtypes, the tumor microenvironment, and treatment sensitivity. Results. Using the TCGA pan-cancer data, researchers looked at and examined KMT2 expression patterns and their links to patient survival and the tumor microenvironment in 33 cancer types. The expression of the KMT2 family changes significantly across and within cancer types, indicating significant inter- and intracancer heterogeneity. Patients’ overall survival was often linked to the expression of KMT2 family members. However, the direction of the link differed depending on the KMT2 isoform and cancer type studied. Notably, in all cancer types examined, nearly all KMT2 family members were substantially linked with overall survival in patients with renal clear cell carcinoma (KIRC). Furthermore, all KMT2 genes have a strong relationship with immune infiltrate subtypes, as well as varying degrees of stromal cell infiltration and tumor cell stemness. Finally, we discovered that higher expression of KMT2s, particularly KMT2F and KMT2G, was linked to greater chemotherapeutic sensitivity in several cell lines. Conclusions. The necessity to investigate each KMT2 member as a distinct entity inside each particular cancer type is highlighted by our comprehensive investigation of KMT2 gene expression and its relationship with immune infiltrates, tumor microenvironment, and cancer patient outcomes. Our research also confirmed the identification of KMT2 as a potential therapeutic target in cancer, but further laboratory testing is required.
Compliance-Driven Cybersecurity Planning Based on Formalized Attack Patterns for Instrumentation and Control Systems of Nuclear Power Plants
Authors: Lee Minsoo , Kwon Hyun , Yoon Hyunsoo
Published: January 2022

The instrumentation and control (I&C) system of a nuclear power plant (NPP) employs a cybersecurity program regulated by the government. Through regulation, the government requires the implementation of security controls in order for a system to be developed and operated. Accordingly, the licensee of an NPP works to comply with this requirement, beginning in the development phase. The compliance-driven approach is efficient when the government supervises NPPs, but it is inefficient when a licensee constructs them. The security controls described in regulatory guidance do not consider system characteristics. In other words, the development organization spends a considerable amount of time excluding unnecessary control items and preparing the evidence to justify their exclusion. In addition, security systems can vary according to the developer’s level of security knowledge, leading to differences in levels of security between systems. This paper proposes a method for a developer to select the appropriate security controls when preparing the security requirements during the early development phase; it is designed to ensure the system’s security and reduce the cost of excluding unnecessary security controls. We have formalized the representation of attack patterns and security control patterns and identified the relationships between these patterns. We conducted a case study applying RG 5.71 in the Plant Protection System (PPS) to confirm the validity of the proposed method.
On Clustering Detection Based on a Quadratic Program in Hypergraphs
Authors: Tang Qingsong
Published: January 2022

A proper cluster is usually defined as maximally coherent groups from a set of objects using pairwise or more complicated similarities. In general hypergraphs, clustering problem refers to extraction of subhypergraphs with a higher internal density, for instance, maximal cliques in hypergraphs. The determination of clustering structure within hypergraphs is a significant problem in the area of data mining. Various works of detecting clusters on graphs and uniform hypergraphs have been published in the past decades. Recently, it has been shown that the maximum {1,2}‐clique size in {1,2}‐hypergraphs is related to the global maxima of a certain quadratic program based on the structure of the given nonuniform hypergraphs. In this paper, we first extend this result to relate strict local maxima of this program to certain maximal cliques including 2‐cliques or {1,2}‐cliques. We also explore the connection between edge‐weighted clusters and strictly local optimum solutions of a class of polynomials resulting from nonuniform {1,2}‐hypergraphs.
Knowledge Graph Construction for Intelligent Media Based on Mobile Internet
Authors: Dai Jianhua , Xu Jingxin
Published: January 2022

Mobile Internet-based intelligent media has become a popular academic topic. This study uses the CiteSpace visualisation tool and Scientific Citation Index Expanded database to comb the existing research in the field of intelligent media from a quantitative perspective. A total of 7248 English papers were published on the topic of “intelligent media” from 2012 to 2021, and 145 highly cited papers refined were analysed. Scientific knowledge graphs were analysed from six dimensions: annual publication quantity, country of publication, institution of publication, author, keywords, and cited references. In the last 10 years, the research literature on intelligent media has been found to increase annually. Presently, the People’s Republic of China and the United States of America have a high proportion of documents in this field. Chinese universities and institutions have achieved significantly in terms of the quantity and quality of documents. From the perspective of the whole intelligent media discipline, the high-yield author group has not been formed, and there is minimal cooperation amongst authors. Popular intelligent media topics include film, social media, machine learning, swarming motility, data mining, and artificial intelligence. Subject words of the main research directions are event recognition, fake news, Cable News Network model, reconfigurable intelligent surface, comprehensive survey, microblog message, strain sensor, and traffic event. Combined with popular topics and time zone maps, the future research frontier in the field of smart media is identified.
Investigation of Widely Used SLAM Sensors Using Analytical Hierarchy Process
Authors: Khan Muhammad Shahzad Alam , Hussain Danish , Naveed Kanwal , Khan Umar S. , Mundial Imran Qayyum , Aqeel Anas Bin
Published: January 2022

Applications of mobile robots are continuously capturing the importance in numerous areas such as agriculture, surveillance, defense, and planetary exploration to name a few. Accurate navigation of a mobile robot is highly significant for its uninterrupted operation. Simultaneous localization and mapping (SLAM) is one of the widely used techniques in mobile robots for localization and navigation. SLAM consists of front- and back-end processes, wherein the front-end includes SLAM sensors. These sensors play a significant role in acquiring accurate environmental information for further processing and mapping. Therefore, understanding the operational limits of the available SLAM sensors and data collection techniques from a single sensor or multisensors is noteworthy. In this article, a detailed literature review of widely used SLAM sensors such as acoustic sensor, RADAR, camera, Light Detection and Ranging (LiDAR), and RGB-D is provided. The performance of SLAM sensors is compared using an analytical hierarchy process (AHP) based on various key indicators such as accuracy, range, cost, working environment, and computational cost.