bluuebunny/crossref_metadata_2025 huggingface dataset:
An Effective Hybrid Multiobjective Flexible Job Shop Scheduling Problem Based on Improved Genetic Algorithm
Authors: Fang Junfeng
Published: March 2022

Multiobjective Flexible Job Shop Scheduling Problem (MO-FJSP) is a scheduling problem used in manufacturing sectors to use energy efficiently and thriftily. The scheduling problem aims to increase productivity and reduce energy consumption via a mathematical model. With this paper, an effective genetic algorithm is proposed for MO-FJSP based on maximum completion time, total machine load, and bottleneck machine load. The solution method utilizes a hybrid multiobjective genetic algorithm. A combination of global selection and fast selection is used for initialization and obtaining a uniformly distributed initial population. The cross-variance operator is adaptively improved to enhance the searching in the population. Following that an elite retention mechanism is designed to address the possible limitations of the elite strategy in maintaining population diversity. As a result, an improved harmonic search algorithm is introduced to improve the quality of individuals in the elite pool. The proposed hybrid method is implemented in MATLAB R2018a. Tests were conducted using the benchmark Kacem test set, the BR data data set, and with the actual production cases. The algorithm succeeded in achieving 13 nondominated solutions in the initial 20 runs. Moreover, the method obtains the optimal value criterion for the solution accuracy factor. As a whole, results of the evaluation testify that the proposed method can be used to solve the MO-FJSP with high accuracy and fast convergence. The method also provides feasible and effective scheduling solutions for the decision-makers in actual production. Based on the promising results obtained, it is deduced that the method has a wide applicability range particularly in manufacturing sector.
Correlation between Transforming Growth Factor-β and Periapical Lesions in Patients with Chronic Apical Periodontitis
Authors: Li Xiujuan , Han Xuesong , Yu Wenlei , Chen Xing , Wu Ying , Lu Linjie
Published: March 2022

Objective. To examine the expression of transforming growth factor-β (TGF-β) in the periapical granulation tissue and serum of patients with chronic apical periodontitis and to conduct immunohistochemical analysis so as to explore the relationship between TGF-β and the degree of periapical lesions. Methods. Periapical granulation tissues of 20 cases of chronic apical periodontitis were collected as the experimental group. Healthy gingival tissues without eruption of third molars of 5 cases were collected as the control group. Immunohistochemistry, enzyme-linked immunosorbent assay, and real-time PCR (RT-PCR) were utilized to determine the expression of TGF-β mRNA and protein, and the difference in the expression of TGF-β was compared between groups. In the experimental group, oral CBCT was taken to measure the periapical bone resorption area. Spearman’s correlation method was applied to analyze the correlation between TGF-β protein and gene expression levels and periapical bone resorption area. Results. Immunohistochemistry and enzyme-linked immunosorbent assay demonstrated that the expression of TGF-β protein in chronic apical periodontitis tissue and serum was higher than that in the controls

P
<
0.05

. RT-PCR revealed that the expression of TGF-β mRNA was higher in chronic apical periodontitis tissue than that of the controls

P
<
0.05

. Spearman’s correlation analysis showed that in the experimental group, the mRNA expression of TGF-β was positively correlated with the periapical bone resorption area

P
<
0.01

, and the protein expression level was not correlated with the periapical bone resorption area

P
<
0.05

. Conclusion. The increased expression of TGF-β in the periapical granulation tissue and serum of patients with chronic apical periodontitis has a certain correlation with the progression of periapical periodontitis. The correlation between TGF-β at the mRNA level and the degree of early stage disease as well as the high expression of TGF-β in inflammatory cells in immunohistochemistry have confirmed that TGF-β promotes bone resorption in early periapical periodontitis, and its mechanism of action deserves further investigation.
Basket Credit Default Swap Pricing with Two Defaultable Counterparties
Authors: Chen Yu , Xing Yu
Published: March 2022

In this paper, we study the basket CDS pricing with two defaultable counterparties based on the reduced‐form model. The default jump intensities of the reference firms and counterparties are all assumed to follow the mean‐reverting constant elasticity of variance (CEV) processes. Taking the Vasicek process which is a special case of CEV process as an example, the approximate analytic solutions of the joint survival probability density, the probability densities of the first default and the first two defaults can be solved by using PDE method. In addition, we also extend the Vasciek process to the Vasciek process with cojumps and obtain the approximate closed‐form solutions of the relevant default probability densities. Then with the expressions of the probability densities, we can get the formula of the basket CDS price with two defaultable counterparties. In the numerical analysis, we do sensitivity analysis and compare the basket CDS prices under our model with that with only one defaultable counterparty. The numerical results show that our model can be applied into practice.
[Retracted] Multifunctional Therapeutic Approach of Nanomedicines against Inflammation in Cancer and Aging
Authors: Rahman Md. Mominur , Islam Fahadul , Afsana Mim Sadia , Khan Md. Shajib , Islam Md. Rezaul , Haque Md. Anamul , Mitra Saikat , Emran Talha Bin , Rauf Abdur
Published: March 2022

Cancer is a fatal disorder that affects people across the globe, yet existing therapeutics are ineffective. The development of submicrometer transport for optimizing the biodistribution of systemically provided medications is the focus of nanomedicine. Nanoparticle‐ (NP‐) based treatments may enable the development of novel therapeutic approaches to combat this deadly disorder. In multifunctional, multimodal imaging, and drug delivery carriers, NPs generally play a major role. They have emerged as potential strategies for the invention of innovative therapeutic procedures in the last decade. The exponential growth of nanotechnologies in recent years has increased public awareness of the application of these innovative therapeutic approaches. Many tumor‐targeted nanomedicines have been studied in cancer therapy, and there is clear evidence for a significant improvement in the therapeutic index of antineoplastic drugs. Age‐related factors such as metabolic and physiological alterations in old age and inadequate animal models are currently understudied in nanomedicine and pharmacology. This review highlighted the most important targeting approaches, as well as public awareness, therapeutic advancements, and future prospects in age‐related metabolic variations, and tumor‐targeted nanomedicine studies.
Adsorption of Malachite Green (MG) as a Cationic Dye on Amberlyst 15, an Ion‐Exchange Resin
Authors: Nandoost Amineh , Bahramifar Nader , Moghadamnia Ali Akbar , Kazemi Sohrab
Published: March 2022

Crystals of malachite green (MG), being water‐soluble, are effective agents applied to combat fungal and parasitic infections in fish. This study was conducted to evaluate the adsorption of MG as a cationic dye by polymeric resin Amberlyst 15. Changes in several parameters were observed, including the concentration of MG, pH, the adsorption rate and extent, and the temperature that might all affect the efficiency of adsorption. The adsorption method was described well by both the Redlich–Peterson and Langmuir isotherms with R2 of 0.9933 and 0.9880, respectively. The kinetic information is consistent with the Freundlich isotherm model and pseudo‐2nd‐order kinetics model. Analysis of malachite green was executed by HPLC containing a Eurospher 100‐5 C18 (25 cm × 4.5 mm, size of particle 5 μm) column, UV detector was set at 618 nm, and 125 mM ammonium acetate was adapted to pH 4.5 with formic acid‐acetonitrile (45 : 55, v/v) as the moving phase. The limit of the discovery factor was 0.02 μgL. The negative value of ΔG° reveals the spontaneity of the absorption method. The positive value of ΔS° (333.1253 J/K mol) gives back randomness at the solid‐liquid interface of sorption. The required adsorbent concentration was calculated for removing MG up to an extraction efficiency of 98.27% after 240 minutes.
Development Model of Enterprise Green Marketing Based on Cloud Computing
Authors: Jia Dian , Wu Zhaoyang
Published: March 2022

Internet-based cloud computing is currently an important core technology for computer development in China. It can be used not only in marketing but also in various industries. At the same time, people-oriented and green projects and products that focus on the development of the ecological environment and green consumption dominate the current market trend. The purpose of this paper is at studying the development model of enterprise green marketing based on cloud computing. This article compares and analyzes enterprise green marketing systems through big data algorithms and statistical methods. It starts with the basic characteristics of cloud computing, studies the opportunities and challenges that cloud computing brings to enterprises’ green marketing efforts, describes the green marketing processes and characteristics of enterprises, and analyzes cloud. The feasibility of the construction of the computing system, the basic architecture of the cloud computing system, and the construction of a complete cloud computing data processing flow are proposed. The research data found that the combination of the green marketing development model and cloud computing in the enterprise operating system is conducive to the development of the enterprise; it improves the discovery efficiency of the enterprise and reduces the pollution in the production of the enterprise; the cloud computing can greatly improve the work efficiency of the employees. Cloud computing can improve employees’ speed to complete tasks by about 20% and reduce the error rate by about 50%. The cloud computing enterprise green marketing development model has guiding significance for the long-term development of the enterprise.
Research on Biological Population Evolutionary Algorithm and Individual Adaptive Method Based on Quantum Computing
Authors: Lu Xuandiyang
Published: March 2022

On the basis of classical computer, quantum computer has been developed. In dealing with some large-scale parallel problems, quantum computer is simpler and faster than traditional computer. Nowadays, physical qubit computers have many limitations. Classical computers have many ways to simulate quantum computing, the most effective of which are quantum superiority and quantum algorithm. Ensuring computational efficiency, accuracy, and precision is of great significance to the study of large-scale quantum computing. Compared with other algorithms, genetic algorithm has more advantages, so it can be more widely used. For example, strong adaptability and global optimization ability are the advantages of genetic algorithm. Through the research in Chapter 4, we can conclude that the variance of A2C is obviously smaller than that of PPO. Furthermore, it can be concluded that A2C has better robustness.
Therapeutic Effect of Cu(II) Complex with Photocatalytic Property on Gastric Cancer by Inhibiting the Proliferation of Tumor Cells
Authors: Yu Dan , Li Shuqin
Published: March 2022

In situ hydrolysis of 1,4,5,8-naphthalenetetracarboxylic dianhydride (L) and simultaneous self-assembly with Cu(II) ions afforded a new Cu(II) compound formulated as [Cu(L) (4,4′-bpy)0.5(H2O)]n (1), which is structurally determined by a series of characterization techniques, such as powder X-ray diffraction (PXRD), thermogravimetric Analysis (TGA), and elemental analysis. It is noteworthy that compound 1 can catalyze the degradation of methylene blue (MB) in aqueous solution under UV irradiation. This paper also investigated and evaluated its application value and research mechanism in gastric cancer. However, we also used real-time reverse transcription-polymerase chain reaction (RT-PCR) to detect the activation of vascular endothelial growth factor (VEGF) signaling pathway, and Cell Counting Kit-8 (CCK-8) method was used to calculate the inhibition activity of 1 on gastric cancer cell viability.
A Discrete-Time Model-Based Method for Predicting Settlement of Geotechnical Foundations in Buildings
Authors: Yang Chengwei , Jiang Zhenzhen
Published: March 2022

The selection of a single prediction method is difficult to adapt to the actual engineering situation in the construction geotechnical foundation’s settlement prediction. This article proposes a modified optimized comprehensive prediction model to independently mine the construction geotechnical foundation settlement monitoring data from different angles. The proposed model analyzes the construction geotechnical foundation settlement’s change law and realizes the comprehensive prediction of construction geotechnical foundation settlement. Initially, the preliminary integrated discrete-time prediction model is established based on the combination of the hyperbolic method and the GM (1, 1) model’s modeling mechanism. The GM (1, 1) modeling mechanism is based on the idea of arithmetic weighted average combination. Then the real-time correction weight coefficients are constructed and the real-time correction amount is calculated to modify the initial integrated prediction model. The modified optimized integrated prediction model is established too. Finally, the modified optimized integrated prediction model is utilized to predict the settlement of building geotechnical foundations. The experimental results of A-Ma city project, China show that the modified optimized integrated prediction model has better prediction accuracy and has universal applicability than the hyperbolic method and GM (1, 1) in the prediction of foundation settlement of building geotechnical foundations. It can effectively reduce the prediction error after the combination of single methods.
Oral Administration of Piperine as Curative and Prophylaxis Reduces Parasitaemia in Plasmodium berghei ANKA-Infected Mice
Authors: Khairani Shafia , Fauziah Nisa , Wiraswati Hesti Lina , Panigoro Ramdan , Setyowati Endang Yuni , Berbudi Afiat
Published: March 2022

Malaria remains a public health problem and a leading cause of death worldwide. Consequently, the discovery of novel agents, including substances from medicinal plants, is urgently needed. Piper nigrum has long been used by the community in the treatment of the symptoms of malaria. In a previous study, Piper nigrum was demonstrated to exhibit promising antiplasmodial activity against Plasmodium falciparum 3D7 and INDO strains. The aim of this study was to further investigate the antimalarial activity (curative and prophylactic) of piperine (a major isolated constituent of Piper nigrum) in Plasmodium berghei ANKA-infected mice. Piperine 10, 20, and 40 mg/kg body weight (bw), artesunate 5 mg/kg bw, and DMSO were administered orally for four days to different groups of Swiss Webster mice. Then, mice were monitored for parasitaemia, body weight, rectal temperature, survival rate, and clinical parameters. Piperine 40 mg/kg bw in curative and prophylactic tests had the maximum parasitaemia chemosuppression of 79.21% and 58.8% (p < 0.05), respectively, with a significant effect on the survival rate compared with control animals. In the curative test, piperine 40 mg/kg bw reduced the mean clinical score compared with the control group. Additionally, piperine showed an ability to protect organs (lungs, liver, spleen, and kidneys) from some damage in a dose-dependent manner. This study can be used as a basis for further discovery of novel chemotherapeutic or chemoprophylactic compounds.
Feasibility of Water Injection on the Coal Wall of Loose Thick Coal Seam to Prevent Rib Spalling and Its Optimal Moisture Content
Authors: Sun Jian , Li Bin , Zhang Ruofei , Huang Zhou
Published: March 2022

Rib spalling of loose thick coal wall seriously restricts the high yield, high efficiency of coal mine, affecting the safety production of coal mine. Based on the engineering background of water injection to control rib spalling of loose thick coal seam in the Luling Coal Mine of the Huaibei Mining Group, the mineral composition and microscopic morphology of III811 loose thick coal seam in Luling Coal Mine were analyzed by X-ray diffraction and scanning electron microscope. Through uniaxial compressive strength tests of coal samples with different moisture content, the relationship between uniaxial compressive strength, peak strain and moisture content, and their failure characteristics was studied. The results showed that the natural moisture content of III811 coal seam in Luling coal mine is low, and it contains a large amount of kaolinite (75.2%) belonging to clay mineral which is easy to absorb water and then expand, fully bond loose coal body and fill cracks to improve the integrity of coal body. These two factors provide feasibility for injecting water in workface to prevent rib spalling. The compressive strength of coal samples decreased slowly with the raise of moisture content, while the peak strain increased first and then decreased. The peak strain was the largest when the water content was 6.0%. The failure degree of coal samples intensifies with the increase of water content, and the failure form changes from tensile failure at low water content to shear failure at high water content. Considering the relationship between compressive strength, peak strain, and moisture content of coal samples, the optimal moisture content of III811 workface in loose thick coal seam is determined to be 4.5% ~6%.
Estimation of International Gold Price by Fusing Deep/Shallow Machine Learning
Authors: Chen Wenjing
Published: March 2022

In this work, we propose a new method that combines the support vector machine (SVM) and the long short-term memory (LSTM) model utilizing the theory of quotient space to predict the price of gold by leveraging the price factors that have supposedly an impact on the gold price. The Pearson correlation coefficient is employed to measure the relations between nine price factors and gold price. The five price factors with larger correlation coefficients are picked. Then, by utilizing the Granger causality test, the gold price may change concerning the two price factors when time is a concern, which results in combining the results of the correlation analysis with the results of Granger causality leading to a total of seven price factors. Also, the gold price can be divided into the quarters of the year according to the theory of the quotient space and temporal attribute. With three granularities per month, a 3-layer quotient space is constructed based on the synthesized and calculated granularities. The proposed method provides the prediction results that are compared with the predicted values of some grey models (GM) and the actual gold price, respectively. The results suggested that the prediction results of gold price have a comparable lower error measurement and perform better.
Computing First and Second Fuzzy Zagreb Indices of Linear and Multiacyclic Hydrocarbons
Authors: Mufti Zeeshan Saleem , Fatima Eiman , Anjum Rukhshanda , Tchier Fairouz , Xin Qin , Hossain Md. Moyazzem
Published: March 2022

Fuzzy graph theory was invented by Rosenfeld. It is the extension of the work of L.A. Zadeh on fuzzy sets. Rosenfeld extracted the fuzzy-related concepts using the graph theoretic concepts. Topological indices for crisp theory have already been discussed in the literature but these days, topological index-related fuzzy graphs are much popular. Fuzzy graphs are being used as an application in different fields of sciences such as broadcast, communications, producing, social network, man-made reasoning, data hypothesis, and neural systems. In this paper, we have computed some fuzzy topological indices such as first and second Zagreb indices, Randic index, and harmonic index of fuzzy chemical graph named phenylene.
Customized Allogeneic Bone Augmentation Improves Esthetic Outcome in Anteromaxillary Dental Implantation
Authors: Nilius Manfred , Nilius Minou Hélène , Mueller Charlotte , Weiland Bernhard , Haim Dominik , Krahe Anna , Lauer Guenter
Published: March 2022

Purpose. In cases of severe atrophic maxilla or maxillary involution, augmentation is necessary for implant-supported prosthetics. Using bone grafts is a standard procedure, and using customized allogeneic bone blocks may be a predictable alternative before dental implantation. Clinical Findings. This case study shows the digital workflow, including a preimplantological augmentation by a customized allogeneic block, followed by soft tissue optimization and template-based dental implantation, after six months of healing. It is part of a three-year follow-up study on the resorption rate of allogeneic bone blocks. Outcomes. Allogeneic bone augmentation is an alternative treatment option to autologous bone grafts. It allows predictable advanced backward planning (ABP) even in the maxillary esthetic zone. Diameter-reduced implants show long-term stability of a minimum of three years after loading and excellent results of prosthetic fixtures. Conclusion. Prefabricated customized allogeneic blocks for augmentation may increase the fitting accuracy of the graft, decrease morbidity, and reduce the operation time in esthetic maxillary rehabilitation.
Higher-Order Accurate and Conservative Hybrid Numerical Scheme for Relativistic Time-Fractional Vlasov-Maxwell System
Authors: Zubair Tamour , Usman Muhammad , Khan Ilyas , Hamadneh Nawaf N. , Lu Tiao , Andualem Mulugeta
Published: March 2022

The historical analysis demonstrates that plasma scientists produced a variety of numerical methods for solving “kinetic” models, i.e., the Vlasov-Maxwell (VM) system. Still, on the other hand, a significant fact or drawback of most algorithms is that they do not preserve conservation philosophies. This is a crucial fact that cannot be disregarded since the Vlasov Maxwell system is associated with conservation rules and is capable of assessing after the accomplishment of certain helpful mathematical actions. To examine the fractional-order routine of charged particles, we constructed a fractional-order plasma model and proposed a higher-order conservative numerical approach based on operational matrices theory and Shifted Gegenbauer estimations. Numerical convergence is investigated to confirm its competence and compatibility. This concept may be used in problems involving variable order and multidimensionality, such as those involving Vlasov and Boltzmann systems.
Optimum Selection of Mining Plans for Pillars Containing Interlayers Based on Numerical Simulation
Authors: Hu Gaojian , Yang Tianhong
Published: March 2022

A reasonable selection of the pillar mining plan is the key to ensure smooth mining in the goaf group, which plays an important part in safe production. In formulating and optimizing the pillar mining plan, the influence of the ground pressure evolution law should be fully considered. This paper first introduces two mining plans for pillars, and then, numerical simulations were used to analyze the two mining plans from four perspectives such as stress evolution law, stress concentration degree, force state of pillars, and weak marble layers. The results show that the mining plan 1 that retreats from the middle of the ore body to the two wings is the optimal as it can realize sequential mining in high-stress concentration areas at the middle section. This effectively alleviates the stress on the surrounding rock during mining and will not aggravate the collapse of the marble-interbedded area.
Multiobjective Reliability‐Based Design Optimization of Recycled Aggregates Used in Corrosive Environment Based on Response Surface Modelling
Authors: Dehvari Abdol Ghaium , Khazaei Mohsen , Sohrabi Mohammad Reza , Miri Mahmoud
Published: March 2022

In this study, durability properties of concrete samples including rapid chloride migration and electrical resistance as corrosion evaluation indicators were tested. The effects of some environmental parameters including humidity percentage, temperature, and chloride concentration were also examined on concrete electrical resistance. The prediction models for mechanical and durability parameters of concrete were obtained using the response surface method. These models were then evaluated using a metaheuristic optimization algorithm coupled with a simple and fast usability new method of reliability evaluation. Eventually, the probabilistic optimal values of using recycled aggregates were calculated for achieving environmentally friendly concrete. Probabilistic multiobjective optimization results revealed that, in an environment with humidity of 70%, temperature of 23°C, and chloride ion concentrations of 3%, 5%, and 8%, use of recycled aggregates for above different chloride ion concentrations was limited to (33.56%, 13.23%), (32.14%, 5.56%), and (13.23%, 2.86%), recycled coarse and fine aggregates, respectively. Furthermore, optimization procedures were performed for the environment or precontaminant recycled aggregate with the chloride concentration of 10%, but the analysis procedure did not converge to an optimum design point.
Construction of STEAM Graded Teaching System Using Backpropagation Neural Network Model under Ability Orientation
Authors: Shi Yuanwu , Rao Lijuan
Published: March 2022

The use of artificial intelligence technology is one of the important focused research areas in the field of education because students need to become aware of the use of automated teaching systems within educational settings. This exploration aims to use the new teaching concept and realize a high-quality teaching effect in quality education. First, the ability-oriented Science, Technology, Engineering, Arts, and Mathematics (STEAM) education is expounded from the four aspects of ability objectives, students, projects, and teaching system construction, and the ability-oriented STEAM graded teaching system is proposed. Second, using the primary school stage as an example, combined with the thinking advanced path of cognitive psychology and the Primary School Science Curriculum Standard of Compulsory Education, a four-dimensional STEAM graded teaching system of “ability, knowledge, project, and evaluation” guided by innovative ability and involved with other abilities is constructed. Third, the shaping path and specific implementation strategies of the system are analysed. Finally, the backpropagation neural network (BPNN) model is used to evaluate the effect of STEAM graded teaching. The results show that the accuracy of students’ answers in the proposed STEAM graded teaching method is significantly higher than that in the traditional teaching method, and the evaluation error of the BPNN model is less than 1%, proving that the BPNN model has good calculation accuracy and can be used to evaluate the effect of STEAM graded teaching. This exploration provides a reference for the practice of STEAM education in China.
The Probe for Renal Organic Cation Secretion (4-Dimethylaminostyryl)-N-Methylpyridinium (ASP+)) Shows Amplified Fluorescence by Binding to Albumin and Is Accumulated In Vivo
Authors: Engbjerg Jacob Schade , Costanzo Vincenzo , Sardella Donato , Bordoni Luca , Jakobsen Steen , D'Apolito Luciano , Frøkiær Jørgen , Trepiccione Francesco , Capasso Giovambattista , Frische Sebastian
Published: March 2022

Accumulation of uremic toxins may lead to the life-threatening condition “uremic syndrome” in patients with advanced chronic kidney disease (CKD) requiring renal replacement therapy. Clinical evaluation of proximal tubular secretion of organic cations (OC), of which some are uremic toxins, is desired, but difficult. The biomedical knowledge on OC secretion and cellular transport partly relies on studies using the fluorescent tracer 4-dimethylaminostyryl)- N-methylpyridinium (ASP+), which has been used in many studies of renal excretion mechanisms of organic ions and which could be a candidate as a PET tracer. This study is aimed at expanding the knowledge of the tracer characteristics of ASP+ by recording the distribution and intensity of ASP+ signals in vivo both by fluorescence and by positron emission tomography (PET) imaging and at investigating if the fluorescence signal of ASP+ is influenced by the presence of albumin. Two-photon in vivo microscopy of male Münich Wistar Frömter rats showed that a bolus injection of ASP+ conferred a fluorescence signal to the blood plasma lasting for about 30 minutes. In the renal proximal tubule, the bolus resulted in a complex pattern of fluorescence including a rapid and strong transient signal at the brush border, a very low signal in the luminal fluid, and a slow transient intracellular signal. PET imaging using 11C-labelled ASP+ showed accumulation in the liver, heart, and kidney. Fluorescence emission spectra recorded in vitro of ASP+ alone and in the presence of albumin using both 1-photon excitation and two-photon excitation showed that albumin strongly enhance the emission from ASP+ and induce a shift of the emission maximum from 600 to 570 nm. Conclusion. The renal pattern of fluorescence observed from ASP+ in vivo is likely affected by the local concentration of albumin, and quantification of ASP+ fluorescent signals in vivo cannot be directly translated to ASP+ concentrations.
To Systematically Evaluate and Analyze the Efficacy and Safety of Transcatheter Arterial Chemoembolization (TACE) in the Treatment of Primary Liver Cancer
Authors: Yang Xiao , Lan Tingting , Zhong Hui , Zhang Zujian , Xie Hui , Li Youwei , Huang Wen
Published: March 2022

The efficacy and safety of transcatheter arterial chemoembolization (TACE) are systematically evaluated in the treatment of primary liver cancer, which provides a reference for clinical practice and more in-depth research. Cochrane Library, PubMed, EMbase, CBM, CNKI, VIP, and WanFang Data, supplemented by other searches, collected all randomized controlled trials (RCT) comparing TACE combined with TACE alone for HCC. The meta-analysis, after selecting the literature, extracting data, and evaluating the methodological quality of the included studies following the inclusion criteria, was performed using RevMan 5.1 software. There was statistical difference in 3-year survival rate of TACE combined with heat treatment for advanced hepatocellular carcinoma (OR = 1.72,95%CI (1.22,2.41),

P
=
0.002

, I2 = 0%, and Z = 3.12), total effective rate (OR = 1.91,95%CI (1.31,2.78),

P
=
0.0008

, I2 = 0%, and Z = 3.37), quality-of-life improvement rate (OR = 2.29,95%CI (1.62,3.23),

P
<
0.00001

, I2 = 83%, and Z = 3.37), and complication rate (OR = 2.29,95%CI (1.62,3.23),

P
<
0.00001

, I2 = 83%, and Z = 3.37). Compared with TACE alone, TACE combined with hyperthermia can significantly improve the survival rate and recent efficacy of patients, improve the quality of life, and have a trend to reduce the incidence of toxicity. However, its long-term efficacy and more comprehensive safety need to be verified by more sample and high-quality RCT.
Pure White Cell Aplasia and Immune Thrombocytopenia after Thymoma Resection: A Case Report and Review of the Literature
Authors: Youssef Michael , Stratton Tyler W. , Gallant Reid C. , Young Christine , Li Daniel Y. , Piran Siavash
Published: March 2022

We report a case of pure white cell aplasia (PWCA) postthymoma resection in a 74-year-old male presenting with a 2-week history of fevers, night sweats, and severe febrile neutropenia. His pure white cell aplasia was treated with intravenous immunoglobulin (IVIg), granulocyte colony-stimulating factor (G-CSF), prednisone, and cyclosporine with a mixed response. He also developed immune thrombocytopenia, which responded well to a short course of eltrombopag. With continued cyclosporine treatment, his platelet counts were stable after stopping eltrombopag. The patient's cyclosporine treatment was complicated by renal failure, resulting in cessation of cyclosporine. His PWCA and immune thrombocytopenia significantly worsened after stopping cyclosporine, and unfortunately, he died from multiorgan failure and sepsis.
Analysis of Aerobics Auxiliary Training Based on Deep Learning
Authors: Li Can
Published: March 2022

With the in-depth integration of information technology and subject teaching, it is also an inevitable trend to apply modern information technology to aerobics teaching. In this paper, the N-best algorithm is used in the video and real-time camera in aerobics, so that the human posture parameters in a single-frame image can be estimated. By using the relative position and motion direction of each part of the human body to describe the characteristics of aerobics, the Laplace scoring method is used to reduce the dimension of the data, and the discriminant human motion feature vector with a strong local topological structure is obtained. Finally, the iterative self-organizing data analysis technology (ISODATA algorithm) is used to dynamically determine the keyframe. In the aerobics video keyframe extraction experiments, the ST-FMP model improves the recognition accuracy of nondeterministic body parts of the flexible hybrid articulated human model (FMP) by about 15 percentage points and achieves 81% keyframe extraction accuracy, which is better than the keyframe algorithms of KFE and motion block. The proposed algorithm is sensitive to human motion features and human pose and is suitable for motion video annotation review.
Computational Modeling of T Cell Hypersensitivity during Coronavirus Infections Leading to Autoimmunity and Lethality
Authors: Celebi Alper Tunga , Uzel Goksu , Oylumlu Ece , Baykasoglu Cengiz , Mugan Ata , Joly Sophie , Ciraci Ceren
Published: March 2022

The human angiotensin-converting enzyme 2 (hACE2) receptor is the primary receptor for SARS-CoV-2 infection. However, the presence of alternative receptors such as the transmembrane glycoprotein CD147 has been proposed as a potential route for SARS-CoV-2 infection. The outcomes of SARS-CoV-2 spike protein binding to receptors have been shown to vary among individuals. Additionally, some patients infected with SARS-CoV-2 develop autoimmune responses. Given that CD147 is involved in the hyperactivation of memory T cells resulting in autoimmunity, we investigated the interaction of the SARS-CoV-2 viral spike protein with CD147 receptor and retinal specific CD147 Ig0 domain in silico using molecular docking and molecular dynamics (MD) simulations. The results indicated that binding involves two critical residues Lys63 and Asp65 in a ubiquitous CD147 isoform, potentially leading to the hyperactivation of T cells for only SARS-CoV-2, but not for SARS-CoV or MERS-CoV. Overall binding was confirmed by docking simulations. Next, MD analyses were completed to verify the docking poses. Polar interactions suggested that the interaction via Lys63 and Asp65 might be one of the determinants associated with severe COVID-19 outcomes. Neither did SARS-CoV nor MERS-CoV bind to these two critical residues when molecular docking analyses were performed. Interestingly, SARS-CoV was able to bind to CD147 with a lower affinity (-4.5 kcal/mol) than SARS-CoV-2 (-5.6 kcal/mol). Furthermore, Delta and Omicron variants of SARS-CoV-2 did not affect the polar interactions with Lys63 and Asp65 in CD147. This study further strengthens the link between SARS-CoV-2 infection and autoimmune responses and provides novel insights for prudent antiviral drug designs for COVID-19 treatment that have implications in the prevention of T cell hyperactivation.
3D Face Geometry Optimization Using Artificial Intelligence and Computer Graphics
Authors: Liu Dan
Published: March 2022

Human face plays an indispensable role in emotional expression and information exchange, which attracts large number of researchers to study face recognition. Nowadays, with the rapid development of computer graphics, artificial intelligence, and other technologies, the ability of the human vision system to recognize facial expressions and facial organs is enhanced. More and more experts think about how to make the computer vision system have this capability. By combining artificial intelligence and computer graphics, this paper studies how to optimize the 3D face network model and extract geometric features for 3D face recognition. We propose a 3D face network model based on Poisson equation to realize face hole recognition and boundary preprocessing. Besides, we also establish the 3D face surface equation and equal face value extraction and enhance the face feature based on facial semantic information. We study the hole repair of 3D face model based on Poisson equation integrating semantic information and achieve the purpose of optimizing the 3D face model. After the optimization, the method is compared with mesh repair and Poisson repair, which demonstrates that our Poisson-based 3D face hole repairing model obtains the best results among compared methods.
Bcl-xL Enforces a Slow-Cycling State Necessary for Survival in the Nutrient-Deprived Microenvironment of Pancreatic Cancer
Authors: Sela Yogev , Li Jinyang , Maheswaran Shivahamy , Norgard Robert , Yuan Salina , Hubbi Maimon , Doepner Miriam , Xu Jimmy P. , Ho Elaine S. , Mesaros Clementina , Sheehan Colin , Croley Grace , Muir Alexander , Blair Ian A. , Shalem Ophir , Dang Chi V. , Stanger Ben Z.
Published: March 2022

Solid tumors possess heterogeneous metabolic microenvironments where oxygen and nutrient availability are plentiful (fertile regions) or scarce (arid regions). While cancer cells residing in fertile regions proliferate rapidly, most cancer cells in vivo reside in arid regions and exhibit a slow-cycling state that renders them chemoresistant. Here, we developed an in vitro system enabling systematic comparison between these populations via transcriptome analysis, metabolomic profiling, and whole-genome CRISPR screening. Metabolic deprivation led to pronounced transcriptional and metabolic reprogramming, resulting in decreased anabolic activities and distinct vulnerabilities. Reductions in anabolic, energy-consuming activities, particularly cell proliferation, were not simply byproducts of the metabolic challenge, but rather essential adaptations. Mechanistically, Bcl-xL played a central role in the adaptation to nutrient and oxygen deprivation. In this setting, Bcl-xL protected quiescent cells from the lethal effects of cell-cycle entry in the absence of adequate nutrients. Moreover, inhibition of Bcl-xL combined with traditional chemotherapy had a synergistic antitumor effect that targeted cycling cells. Bcl-xL expression was strongly associated with poor patient survival despite being confined to the slow-cycling fraction of human pancreatic cancer cells. These findings provide a rationale for combining traditional cancer therapies that target rapidly cycling cells with those that target quiescent, chemoresistant cells associated with nutrient and oxygen deprivation.

Significance:

The majority of pancreatic cancer cells inhabit nutrient- and oxygen-poor tumor regions and require Bcl-xL for their survival, providing a compelling antitumor metabolic strategy.
Mediating Effects of Neighborhood-Level Socioeconomic Deprivation on the Association Between Race/Ethnicity and Advanced Hepatocellular Carcinoma
Authors: Oluyomi Abiodun O. , Mohammadi Kusha A. , El-Serag Hashem B. , Thrift Aaron P.
Published: March 2022

Background:

Racial/ethnic minorities are more likely than non-Hispanic whites (NHW) to be diagnosed with advanced stage hepatocellular carcinoma (HCC). We examined the role of neighborhood disadvantage as a mediator of the association between race/ethnicity and HCC stage at diagnosis.

Methods:

We used data from HCC cases diagnosed in Texas from 2007 to 2015. HCC cases were classified as local versus regional/advanced stage. A mediation model approach was used to estimate the average direct effect, average mediated (indirect) effect, total effect, and proportion mediated by the Area Deprivation Index (ADI), a composite measure of disadvantage.

Results:

7,622 had local while 6303 had regional/advanced HCC. 46.1% of cases were NHW, 15.0% non-Hispanic Black (NHB), and 38.9% Hispanic. NHBs were less likely than NHWs to be diagnosed with local stage HCC [total effect RR, 0.921; 95% confidence interval (95% CI), 0.898–0.947]; however, only 2.26% of this effect was mediated through ADI. Conversely, Hispanics were more likely than NHWs to be diagnosed with local stage HCC (total effect RR, 1.019; 95% CI, 1.001–1.037) and ADI mediated 12.56% of the effect of race/ethnicity on HCC stage. ADI was not associated with HCC stage and therefore was not a mediator of the association with HCC stage when we compared Hispanics with NHBs.

Conclusions:

Neighborhood socioeconomic disadvantage may explain/mediate some of the association between race/ethnicity and HCC stage; however, the mediating effect was not uniform across populations.

Impact:

For NHBs, other individual and neighborhood level factors, not reflected in the ADI, contribute to their lower likelihood of being diagnosed with local HCC.

See related commentary by Lazo et al., p. 1254
MYCMI-7: A Small MYC-Binding Compound that Inhibits MYC: MAX Interaction and Tumor Growth in a MYC-Dependent Manner
Authors: Castell Alina , Yan Qinzi , Fawkner Karin , Bazzar Wesam , Zhang Fan , Wickström Malin , Alzrigat Mohammad , Franco Marcela , Krona Cecilia , Cameron Donald P. , Dyberg Cecilia , Olsen Thale Kristin , Verschut Vasiliki , Schmidt Linnéa , Lim Sheryl Y. , Mahmoud Loay , Hydbring Per , Lehmann Sören , Baranello Laura , Nelander Sven , Johnsen John Inge , Larsson Lars-Gunnar
Published: March 2022

Deregulated expression of MYC family oncogenes occurs frequently in human cancer and is often associated with aggressive disease and poor prognosis. While MYC is a highly warranted target, it has been considered “undruggable,” and no specific anti-MYC drugs are available in the clinic. We recently identified molecules named MYCMIs that inhibit the interaction between MYC and its essential partner MAX. Here we show that one of these molecules, MYCMI-7, efficiently and selectively inhibits MYC:MAX and MYCN:MAX interactions in cells, binds directly to recombinant MYC, and reduces MYC-driven transcription. In addition, MYCMI-7 induces degradation of MYC and MYCN proteins. MYCMI-7 potently induces growth arrest/apoptosis in tumor cells in a MYC/MYCN-dependent manner and downregulates the MYC pathway on a global level as determined by RNA sequencing. Sensitivity to MYCMI-7 correlates with MYC expression in a panel of 60 tumor cell lines and MYCMI-7 shows high efficacy toward a collection of patient-derived primary glioblastoma and acute myeloid leukemia (AML) ex vivo cultures. Importantly, a variety of normal cells become G1 arrested without signs of apoptosis upon MYCMI-7 treatment. Finally, in mouse tumor models of MYC-driven AML, breast cancer, and MYCN-amplified neuroblastoma, treatment with MYCMI-7 downregulates MYC/MYCN, inhibits tumor growth, and prolongs survival through apoptosis with few side effects. In conclusion, MYCMI-7 is a potent and selective MYC inhibitor that is highly relevant for the development into clinically useful drugs for the treatment of MYC-driven cancer.

Significance:

Our findings demonstrate that the small-molecule MYCMI-7 binds MYC and inhibits interaction between MYC and MAX, thereby hampering MYC-driven tumor cell growth in culture and in vivo while sparing normal cells.
The effectiveness of IDEA learning model in mathematics concept understanding
Authors: Sunismi Sunismi , Setiawan Yayan Eryk
Published: March 2022

This research aimed to determine the effectiveness of the issue, discussion, establishment, and application (IDEA) learning model in embedding mathematical concepts understanding. It is a quantitative study with a quasi- experimental approach. This research was conducted at Malang Islamic University with students majoring Mathematics education study program and in their first academic year as the subjects. Subjects were divided into two group, experimental and control and measured their result using posttest only control group design. There are six instruments consisting six items used to measure mathematical concepts understanding. The results confirmed that H0 is rejected, while Ha is accepted proved by t count (3.132) more than  table (1.674). It means there is a significant difference between the of both groups (experimental and control). In addition, the results indicated that the IDEA learning models is effective to assist students in understanding mathematical concepts showed by the higher score of experimental groups than control group. Three factors are involved in order to implement the IDEA learning model effectively; namely: individual problem-solving opportunities, active student involvement, and guidance and assistance (from lecturer) on the IDEA learning model. This research is only limited to preservice teacher, further research is required in order to implement this model for mathematics learning at junior and senior high schools’ level.
A review on efficiency improvement methods in organic Rankine cycle system: an exergy approach
Authors: Raju Gollangi , Kanidarapu Nagamalleswara Rao
Published: March 2022

Exergy, one of the handed-down energy conservation techniques, which can obtain from thermodynamic laws (first and second), will disclose the work presented within the system, the amount of irreversibility as well as what are the possible ways to reduce inefficiencies in the system. This discourse mainly highlighted various techniques and possible methods for efficiency improvement in the organic Rankine cycle (ORC). That means mainly concentrated on following key parameters like the selection of working fluid, suitable expander, the different heat source of an evaporator, and modifications in heat exchanger based on the application of ORC system through an exergy approach for better performance, decrease energy losses, and destruction rate. This review can help to pontificate for better-summarized results that were done before and suggested some ideas for how to select an optimized parameter for better efficiency and to decrease the destruction rate in the ORC system. 
Integrated resistivity study on the effect of dumpsite leachate on groundwater at Ezeani-Obimo, Nsukka, Enugu state Nigeria
Authors: Ossai Mirianrita Ngozi , Ojoajogwu Benjamin Shaibu , Yakubu John Akor
Published: March 2022

The effect of dumpsite leachate on groundwater at the Ezeani-Obimo community was performed by employing Schlumberger and Wenner configurations for four vertical electrical sounding (VES) and four electrical resistivity tomography (ERT). Four geoelectric layers were obtained and characterized by KH, AK, KH, and QH curve types. The first layer, second and third layer has resistivity values ranging from 21.2 to 7026.0  with thickness and a depth ranging from 0·5-31.6 m. The fourth layer has resistivity values ranging from 105.9 to 3355.4  with undefined thickness and depth values harboring all the aquifer units in the study area. Aquifer resistivity and thickness values vary from 105.9 to 3355.4  and 6.6 to 27.1 m while aquifer conductivity ranges from 0·0003 to 0·0094  increasing towards the E-W direction. The longitudinal conductance and transverse resistance values vary from 0.0024 to 0.0623  and 698.94 to
 27178.7  respectively. 2D ERT profiles show low resistivity in the eastern direction and a lateral spread of low resistivity value indicates that leachate flow is moving away gradually from the dumpsite to its outside environment. This study revealed that the layers harboring the aquifer in the area are significantly affected as a result of dumpsite leachate that accumulates on the surface. This result is beneficial for waste managers to take mitigation measures to prevent the risk of total contamination of the groundwater in the area in the nearest future.