bluuebunny/crossref_metadata_2025 huggingface dataset:
IoT Network for International Trade Cold Chain Logistics Tracking Based on Kalman Algorithm
Authors: Zhang Chao , Wei Wei
Published: September 2022

The application of Internet of Things technology in cold chain transportation can greatly strengthen the monitoring of all aspects of cold chain logistics, so as to promote the progress of cold chain logistics industry. In order to study this aspect, this paper chooses the key link of the Internet of Things as a breakthrough. By analyzing various aspects of the transportation process, an Internet of Things middleware framework serving cold chain transportation tracking is designed. The main products of logistics cold chain transportation are fresh agricultural products, so in order to further make the research fit the actual situation, this paper collects the logistics data and information of agricultural products through investigation and combines the core technology of agricultural products logistics with the Internet and the key technology of cold chain transportation to process the obtained information. The analytic hierarchy process and fuzzy comprehensive evaluation method are used in this process. The processing results prove the validity and rationality of the established index system. The purpose of developing the international trade management system is to enable the company to optimize its international trade management process, reduce some tedious and inconvenient manual operations, make the recording and statistics of international trade information very simple, improve work efficiency, and satisfy the information needs of various departments to enable enterprises to minimize costs, thereby enabling enterprises to obtain better economic benefits.
Computing Wiener and Hyper-Wiener Indices of Zero-Divisor Graph of

ℤ

ℊ

3

×

ℤ

I

1

I

2
Authors: Liu Yonghong , Rauf Abdul , AdnanAslam  , Ishaq Saira , Issa Abudulai
Published: September 2022

Let

S
=

ℤ

ℊ

3

×

ℤ

I

1

I

2

be a commutative ring where

ℊ
,

I

1

 
and
 

I

2

are positive prime integers with

I

1

≠

I

2

. The zero-divisor graph assigned to S is an undirected graph, denoted as

Y

S

with vertex set V(

Y

(S)) consisting of all Zero-divisor of the ring S and for any c, d

∈

V(

Y

(S)),

c
d
∈
E

Y

S

if and only if cd =0. A topological index/descriptor is described as a topological-invariant quantity that transforms a molecular graph into a mathematical real number. In this paper, we have computed distance-based polynomials of

Y

R

i-e Hosoya polynomial, Harary polynomial, and the topological indices related to these polynomials namely Wiener index, and Hyper-Wiener index.
Pyrocatechol Alleviates Cisplatin-Induced Acute Kidney Injury by Inhibiting ROS Production
Authors: Xie Xuexia , Wu Fan , Tian Jiaxin , Liu Zhilong , He Huibin , Bao Dongping , Li Guoliang , Li Haomin , Chen Jianfan , Lai Yiqi , Chen Zheng , Fan Jun , Chen Guo , Lai Caiyong
Published: September 2022

As one of the most common cancer chemotherapy drugs, cisplatin is widely used in cancer management. However, cisplatin-induced nephrotoxicity occurs in patients who receive this drug. This study is aimed at developing therapeutic agents that effectively alleviate the nephrotoxic effects during cisplatin treatment. We identified a compound named pyrocatechol (PCL) from a natural product library that significantly alleviated cisplatin-induced cytotoxicity in vitro. Pyrocatechol treatment substantially ameliorated cisplatin (20 mg · kg-1) treatment-induced neuropathological indexes, including inflammatory cell infiltration and apoptosis, in vivo. Mechanistically, pyrocatechol significantly prevented oxidative stress-induced apoptosis by activating glutathione peroxidase 4 (GPX4) to reduce reactive oxygen species (ROS) accumulation in cisplatin-treated cells. In addition, pyrocatechol significantly inhibited ROS-induced JNK/P38 activation. Thus, we found that pyrocatechol prevents ROS-mediated JNK/P38 MAPK activation, apoptosis, and cytotoxicity through GPX4. Our study demonstrated that pyrocatechol is a novel therapeutic agent against cisplatin-induced kidney injury.
Cultural Heritage Resource Development and Industrial Transformation Resource Value Assessment Based on BP Neural Network
Authors: Liu Xinyu , Li Yujie , Zhang Zihao , Wang Qianzheng
Published: September 2022

Mining and utilizing cultural heritage resources and creating and developing creative and cultural industries have become the priority direction of economic development, setting off a wave of cultural heritage resource development, and industrial transformation. Which cultural heritage resources can have the high value of industrial transformation has become one of the research topics that have attracted much attention. In view of this problem, research is of great significance to the development of cultural heritage resources and the field of industrial transformation. With the in-depth research on resource development and industrial transformation, the research on artificial neural network (ANN) in cultural industry transformation is gradually carried out, and its performance advantages are of great significance to solve the problem of value evaluation. This paper aims to study the application of the value assessment method based on the BP neural network (BPNN) in the development of cultural heritage resources and industrial transformation. Through the analysis and research of BPNN and cultural heritage resource development and industrial transformation, it can be applied to the construction of resource value assessment methods to solve the problem of improving the value level of cultural heritage resource development and industry. This paper analyzes BPNN, cultural heritage, and value evaluation methods, conducts experimental analysis on the performance of the algorithm, and uses related theoretical formulas to explain. The results show that the evaluation method has passed the random consistency test, and the results are valid. The obtained index popularity weight value is 0.134, the economic benefit weight value is 0.093, and the resource correlation degree weight value is 0.074, which can be used as the key criteria for resource value evaluation. The classification of resources through resource value assessment can provide theoretical support for the development and industrialization of cultural heritage and can meet the needs of improving the value and quality of cultural heritage development and industrial transformation, and the development level and satisfaction have been greatly improved.
Identification of Novel miRNAs, Targeting Genes, Signaling Pathway, and the Small Molecule for Overcoming Oxaliplatin Resistance of Metastatic Colorectal Cancer
Authors: Misbah Md , Kumar Manoj , Lee Kuen-Huar , Shen Shing-Chuan
Published: September 2022

One of the globally common cancers is colorectal cancer (CRC). At present, a surgical approach remains a good option for CRC patients; however, 20% of surgically treated CRC patients experience metastasis. Currently, even the first‐line used drug, oxaliplatin, remains inadequate for treating metastatic CRC, and its side effect of neurotoxicity is a major problem when treating CRC. The Gene Omnibus GSE42387 database contains gene expression profiles of parental and oxaliplatin‐resistant LoVo cell lines. Differentially expressed genes (DEGs) between parental and oxaliplatin‐resistance LoVo cells, protein‐protein interactions (PPIs), and a pathway analysis were determined to identify overall biological changes by an online DAVID bioinformatics analysis. The ability of DEGs to predict overall survival (OS) and disease‐free survival (DFS) was validated by the SPSS 22.0, using liver metastasis CRC patient samples of GSE41258. The bioinformatics web tools of the GEPIA, the Human Protein Atlas, WebGestalt, and TIMER platforms were used. In total, 218 DEGs were identified, among which 105 were downregulated and 113 were upregulated. After mapping the PPI networks and pathways, 60 DEGs were identified as hub genes (with high degrees). Six genes (TGFB1, CD36, THBS1, FABP1, PCK1, and IRS1) were involved with malaria, PPAR signaling, and the adipocytokine signaling pathway. High expressions of CD36 and PCK1 were associated with the poor survival of CRC patients in the GSE41258 database. We predicted specific micro (mi)RNAs that targeted the 3′ untranslated region (UTR) of PCK1 by using miRWalk. It was found that three miRNAs, viz., miR‐7‐5p, miR‐20a‐3p, and miR‐636, may be upstream targets of those genes. High expression levels of miR‐7‐5p, miR‐20a‐3p, and miR‐636 were associated with poor OS of CRC patients, and the small‐molecule compound, mersalyl, is a promising drug for treating oxaliplatin‐resistant CRC. In conclusion, miR‐7‐5p miR‐20a‐3p, and miR‐636 targeted the PCK1 biomarker in the PPAR signaling pathway, which is involved in oxaliplatin‐resistant CRC. Meanwhile, mersalyl was identified as a potential drug for overcoming oxaliplatin resistance in CRC. Our findings may provide novel directions and strategies for CRC therapies.
Fufang Xueshuantong Improves Diabetic Cardiomyopathy by Regulating the Wnt/β-Catenin Pathway
Authors: Peng Meizhong , Liu Hanying , Ji Qingxuan , Ma Pan , Niu Yiting , Ning Shangqiu , Sun Huihui , Pang Xinxin , Yang Yuqian , Zhang Yuting , Han Jing , Hao Gaimei
Published: September 2022

Diabetic cardiomyopathy (DCM) is one of the main complications of diabetic patients and the major reason for the high prevalence of heart failure in diabetic patients. Fufang Xueshuantong (FXST) is a traditional Chinese medicine formula commonly used in the treatment of diabetic retinopathy and stable angina pectoris. However, the role of FXST in DCM has not yet been clarified. This study was conducted to investigate the effects of FXST on diabetic myocardial lesions and reveal its molecular mechanism. The rats were intraperitoneally injected with 65 mg/kg streptozotocin (STZ) to induce diabetes mellitus (DM). DM rats were given saline or FXST. The rats in the control group were intraperitoneally injected with an equal amount of sodium citrate buffer and gavaged with saline. After 12 weeks, echocardiography, heart weight index (HWI), and myocardial pathological changes were determined. The expression of transforming growth factor-beta1 (TGF-β1), collagen I, and collagen III was examined using immunofluorescence staining and western blot. The expressions of Wnt/β-catenin signaling pathway-related proteins and mRNA were detected by western blot and real-time PCR. The results showed that FXST significantly improved cardiac function, ameliorated histopathological changes, and decreased HWI in the DM rats. FXST significantly inhibited the expression of myocardial TGF-β1, collagen I, and collagen III in DM rats. Furthermore, FXST significantly inhibited the Wnt/β-catenin pathway. Taken together, FXST has a protective effect on DCM, which might be mediated by suppressing the Wnt/β-catenin pathway.
Green Biosynthesis of Silver Nanoparticles from Moringa oleifera Leaves and Its Antimicrobial and Cytotoxicity Activities
Authors: Mohammed Gufran Mahmood , Hawar Sumaiya Naeema
Published: September 2022

The plant occupied the largest area in the biosynthesis of silver nanoparticles, especially the medicinal plants, and it has shown great potential in biotechnology applications. In this study, green synthesis of silver nanoparticles from Moringa oleifera leaves extract and its antifungal and antitumor activities were investigated. The formation of silver nanoparticles was observed after 1 hour of preparation color changing. The ultraviolet and visible spectrum, Fourier transform infrared spectroscopy, X-ray diffraction, scanning electron microscopy, and transmission electron microscopy techniques were used to characterize synthesis particles. Ultraviolet and visible spectroscopy showed a silver surface plasmon resonance band at 434 nm. Fourier transform infrared analysis shows the possible interactions between silver and bioactive molecules in Moringa oleifera leaves extracts, which may be responsible for the synthesis and stabilization of silver nanoparticles. X-ray diffraction showed that the particles were a semicubic crystal structure and with a size of 38.495 nm. Scanning electron microscopy imaging shows that the atoms are spherical in shape and the average size is 17 nm. The transmission electron microscopy image demonstrated that AgNPs were spherical and semispherical particles with an average of (50–60) nm. The nanoparticles also showed potent antimicrobial activity against pathogenic bacteria and fungi using the well diffusion method. Candida glabrata found that the concentration of 1000 μg/mL exhibited the highest inhibition. As for bacteria, the concentration of 1000 μg/mL appeared to be the inhibition against Staphylococcus aureus. Moringa oleifera AgNPs inhibited human melanoma cells A375 line significant concentration-dependent cytotoxic effects. The powerful bioactivity of the green synthesized silver nanoparticles from medical plants recommends their biomedical use as antimicrobial as well as cytotoxic agents.
Shear Strengthening of RC Deep Beams with Symmetrically or Asymmetrically Positioned Square Openings Using CFRP Composites and Steel Protective Frames
Authors: Karimizadeh Hamid , Arabzadeh Abolfazl , Eftekhar Mohammad Reza , Amani Dashlejeh Asghar
Published: September 2022

In most cases, openings are made in the Web of deep beams for installations to pass through. These members require to be strengthened since the openings reduce load‐bearing capacity. This study utilizes carbon fiber‐reinforced polymer (CFRP) composites and steel protective frames (SPF) as strengthening configurations in reinforced concrete (RC) deep beams to improve the strength lost due to the square openings. To this end, eleven specimens with 10 × 50 × 120 cm in size were subjected to the three‐point monotonic loading. In each beam, one or two square openings of 18 cm in each side are positioned either symmetrically or asymmetrically along the beam before it is strengthened with CFRP composites or SPFs. The strengthening composites were installed using externally bonded reinforcement (EBR) or externally bonded reinforcement on grooves (EBROG) techniques in two wrapped or inclined configurations. The obtained results indicate that specimens retrofitted by the SPF exhibited a superior performance as their loading capacity and energy absorption were enhanced by 115% and 337% in comparison with the reference beam, respectively, while these values for the specimens retrofitted by the EBROG technique were 58% and 182%, respectively, and 42% and 105% for those strengthened with the EBR technique.
Orthodontic Treatment for a Patient with Root Resorption of All Four Maxillary Incisors due to Bilaterally Impacted Canines
Authors: Yanoshita Makoto , Hirose Naoto , Onishi Azusa , Nishiyama Sayuri , Kubo Naoki , Kita Daiki , Tanimoto Kotaro
Published: September 2022

Maxillary canines require the longest period from the generation of the tooth germ to the completion of eruption, and they have more difficulties in eruption than other teeth. The incisor roots are often resorbed due to malpositioned canines. An 11-year-old girl presented with an extremely rare case of root resorption of four maxillary incisors due to bilaterally impacted maxillary canines, which were located excessively mesially. The case was managed through oral surgery and orthodontic treatment over five years. After extracting the maxillary deciduous canines, the maxillary bilateral canines were surgically exposed. The bimaxillary lateral incisors were extracted, and the canines were orthodontically tracted over 8 months. All teeth were then aligned using edgewise brackets. No further root resorption of the central incisors was observed for 5 years after canine traction. This case demonstrates the importance of early detection of abnormally positioned canines.
Optimum Green Synthesis of Silver Nanoparticles with the Highest Antibacterial Activity against Streptococcus mutans Biofilm
Authors: Chahardoli Azam , Safaei Mohsen , Mobarakeh Mohammad Salmani , Fallahnia Nima , Fatehi Behnam , Imani Mohammad Moslem , Golshah Amin
Published: September 2022

Nowadays, resistance to antibiotics has developed in bacterial microorganisms related to dental and oral infections, leading to major problems in public health. Using nanoparticles, particularly silver nanoparticles (AgNPs) may offer a new strategy for the prevention and treatment of dental infections. In the current study, AgNPs were synthesized using Halomonas elongata at different conditions according to nine experiments designed by the Taguchi method, and their antibacterial effects were investigated on a Streptococcus mutans biofilm. The effects of three factors, including silver nitrate (AgNO3) concentration, incubation time, and temperature at three different levels, were studied to optimize the synthesis of AgNPs under the designed experiments. Then, the antibacterial effects of these NPs on the S. mutans biofilm were examined by the colony‐forming unit (CFU) method. According to the results, green‐synthesized AgNPs under optimal conditions properly inhibit the formation and growth of the S. mutans biofilm. Furthermore, different analyses were applied to investigate the formation, structural, and morphological properties of the green‐synthesized AgNPs under optimum conditions. The obtained results of this study indicated that the green‐synthesized AgNPs could be a promising antimicrobial agent in the dental and medicinal industry.
Bivariate Chebyshev Polynomials to Solve Time‐Fractional Linear and Nonlinear KdV Equations
Authors: Zahrani Azam , Matinfar Mashaallah , Eslami Mostafa
Published: September 2022

This work concerns the numerical solutions of a category of nonlinear and linear time‐fractional partial differential equations (TFPDEs) that are called time‐fractional inhomogeneous KdV and nonlinear time‐fractional KdV equations, respectively. The fractional derivative operators are of the Caputo type. Two‐variable second‐kind Chebyshev wavelets (SKCWs) are constructed using one‐variable ones; then, utilizing corresponding integral operational matrices leads to an approximate solution to the problem under study. Also, it is found that the perturbation term tends to zero even if a finite number of the basis functions is adopted. To exhibit the applicability and efficiency of the proposed scheme, two models of the KdV equations are given.
Distinctive Metabolism-Associated Gene Clusters That Are Also Prognostic in Intrahepatic Cholangiocarcinoma and Hepatocellular Carcinoma
Authors: Ding Linchao , Ning Shilong , Hu Weijian , Xue Yadong , Yu Shi’an
Published: September 2022

Objective. To offer new prognostic evaluations by exploring potentially distinctive genetic features of hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC). Methods. There were 12 samples for gene expression profiling processes in this study. These included three HCC lesion samples and their matched adjacent nontumor liver tissues obtained from patients with HCC, as well as three ICC samples and their controls collected similarly. In addition to the expression matrix generated on our own, profiles of other cohorts from The Cancer Genome Atlas (TCGA) program and the Gene Expression Omnibus (GEO) were also employed in later bioinformatical analyses. Differential analyses, functional analyses, protein interaction network analyses, and gene set variation analyses were used to identify key genes. To establish the prognostic models, univariate/multivariate Cox analyses and subsequent stepwise regression were applied, with the Akaike information criterion evaluating the goodness of fitness. Results. The top three pathways enriched in HCC were all metabolism-related; they were fatty acid degradation, retinol metabolism, and arachidonic acid metabolism. In ICC, on the other hand, additional pathways related to fat digestion and absorption and cholesterol metabolism were identified. Consistent characteristics of such a metabolic landscape were observed across different cohorts. A prognostic risk score model for calculating HCC risk was constructed, consisting of ADH4, ADH6, CYP2C9, CYP4F2, and RDH16. This signature predicts the 3-year survival with an AUC area of 0.708 (

95
%
CI
=
0.644

to 0.772). For calculating the risk of ICC, a prognostic risk score model was built upon the expression levels of CYP26A1, NAT2, and UGT2B10. This signature predicts the 3-year survival with an AUC area of 0.806 (95%

CI
=
0.664

to 0.947). Conclusion. HCC and ICC share commonly abrupted pathways associated with the metabolism of fatty acids, retinol, arachidonic acids, and drugs, indicating similarities in their pathogenesis as primary liver cancers. On the flip side, these two types of cancer possess distinctive promising biomarkers for predicting overall survival or potential targeted therapies.
The Psychological Recovery of Patients in the Context of Virtual Reality Application by a Complementary Medicine Scheme Based on Visual Art
Authors: Li Bolin , Shen Meilin
Published: September 2022

Expressive art therapy, which originated from art therapy, uses visual art as a carrier and plays a complementary role in clinical medicine and psychological medicine in the healing process of mentally ill patients. With the rapid development of science and technology, expressive art therapy has also entered the field of technology-oriented virtual reality. This study aims to summarize the clinical psychology research of expressive art therapy based on virtual reality, to review the current state of the field, in order to provide detailed scientific research evidence summary for relevant content and complete knowledge reserve.
Soil Characteristics and Pedoclimatic Evaluation of Rainfed Sorghum (Sorghum bicolor (L.) Moench) in the Mayo-Lemié Division, South-Western Chad
Authors: Issine Agoubli , Tsozué Désiré , Nzeukou Aubin Nzeugang , Yongue Rose Fouateu , Kagonbé Bertin Pagna
Published: September 2022

In recent decades, many regions in the Chad Republic in Central Africa have experienced a continuous decline in agricultural yields. In order to determine the main factors leading to this decline in yields and mainly Sorghum yields, this study was conducted in South-Western Chad, in the Sudano-Sahelian environment. Three soil profiles of variable depths, namely, M1, M2, and M3, were dug along a toposequence, respectively, in the footslope, mid-slope, and the upslope. Soil samples collected from each horizon in the three soil profiles were labelled and sent to laboratories for mineralogical, geochemical, and physicochemical analyses. For land evaluation, climatic characteristics are divided into rating groups with respect to the crop and its climatic requirements. Parametric values were attributed to each soil characteristic for soil evaluation and the land index calculated. The main minerals identified in the studied soils are quartz, K-feldspars, plagioclase, kaolinite, smectite, illite, associated to traces of anatase, sepiolite, calcite, and interstratified minerals. In all the analyzed samples, silicon content is very high. It is closely followed by aluminum, iron, and potassium. The presence of kaolinite and smectite suggests that monosiallitisation is a crystallochemical processes acting at the bottom of profile towards bisiallitisation. All samples collected from the three soil profile horizons are mainly sandy and globally poor in nutrients. The pedoclimatic assessment of Sorghum cultivation reveals that the studied soils are marginally to moderately suitable for the production of Sorghum due to soil texture, wetness, and soil fertility. The decline in yields is related to low base saturation, in line with low exchange base content in the studied soils. These limitations could be solved by restoration of the cation balance through fertilization and liming, combining organic inputs with mineral fertilizer, and the realization of channels for the drainage of water at the base of the soil sequence.
Proving Simulink Block Diagrams Correct via Refinement
Authors: Zhang Wei , Sun Quan , Wang Chao , Liu Zhiming
Published: September 2022

Simulink is a well-known block diagram-based tool for modular design and multidomain simulation of Cyber-Physical Systems (CPS). However, the simulation by Simulink cannot completely cover the state space or behavior of a target system, which would not ensure the correctness of the developed block diagrams in Simulink. In this work, we present a contract-based method, which supports compositional reasoning and refinement, for proving the correctness of Simulink block diagrams with discrete-time and continuous-time dynamic behavior. We use the assume-guarantee contract as a specification language. The Simulink block diagrams are correct in the sense that if the block diagrams satisfy the formal specifications of the system being modeled. To prove the correctness of a block diagram, we first define semantics for Simulink block diagrams. We study three composition operators, i.e., serial, parallel, and algebraic loop-free feedback with multistep delays. We present a satisfaction relation between the block diagram and contract and present a refinement relation between the contracts. We prove that if the Simulink block diagram satisfies the composition contract and the composition contract refines the system specifications, the block diagram is correct relative to the system specifications. Furthermore, we demonstrate the effectiveness of our method via a real-world case study originating from the control system of a reservoir. Our method can also provide an idea to verify whether the designed CPS is planted with a logic bomb by attackers.
AI-Based Prediction of Capital Structure: Performance Comparison of ANN SVM and LR Models
Authors: Tellez Gaytan Jesus Cuauhtemoc , Ateeq Karamath , Rafiuddin Aqila , Alzoubi Haitham M. , Ghazal Taher M. , Ahanger Tariq Ahamed , Chaudhary Sunita , Viju G. K.
Published: September 2022

Capital structure is an integral part of the corporate finance that sources the funds to finance growth and operations. Managers always have to maintain value of the firm to be higher than the cost of capital in order to maximize the shareholders wealth. Empirical studies have used sources of finance like debt and equity as variables of capital structure. A choice between debt and equity finance analyzes the firm’s ability to perform under the financially constrained environment to attain the sustainable growth. Therefore, it gives rise to a dire need to estimate the cost of capital precisely. We examined the capital structure of top ten market capitalization of the stock markets included in MSCI Emerging index with the use of artificial neural networks, support vector regression, and linear regression in forecasting methods. The capital structure is measured as the proportion of total debt over total equity (Tang et al., 1991). Other financial ratios such as profitability, liquidity, solvent, and turnover ratios were considered as drivers of the capital structure. Applying logistic and hyperbolic tangent activation functions, it was concluded that ANN has a great potential of replacing other traditional forecasting models with the nonstationary data. This research contributes with a new dimension for estimation through different activation functions. There is a possibility of ANN dominance as compared to the other models applied for predictability in financial markets.
Early Development of Cardiac Fibrosis in Young Old-Father Offspring
Authors: Ismail A. , Saliba Y. , Fares N.
Published: September 2022

Cardiac aging is characterized by progressive fibrosis. Epidemiological studies have found that advanced paternal age is associated with an increased risk of heart failure in the next generation. This study is aimed at evaluating the effect of paternal age, in the young male rat progeny, on cardiac phenotype under circulatory stress conditions. Offspring rats were obtained by mating old males (24 months old) with young females (two months old) and by mating young males (two months old) with the same young females. Hypertension was induced in old father offspring (OFO) rats and young old father (YFO) offspring rats using L-NAME (N(ω)-nitro-L-arginine methyl ester). The OFO L-NAME rats showed a high blood pressure phenotype associated with substantial cardiac hypertrophy and an exacerbation of cardiac fibrosis compared to the YFO L-NAME rats. Histological analysis of heart tissue showed an expansion of the extracellular matrix, with fibroblasts displaying markers of epicardial origin (Tcf21, Tbx18, and Wt1) in the OFO group. Moreover, western blot and protein phosphorylation antibody array identified the TGF-β2 receptor pathway as preferentially activated in aged hearts as well as in OFO cardiac tissue treated with L-NAME. In addition, old father offspring rats (OFO+OFO L-NAME) had increased cardiac DNA methylation. In young hypertensive progeny, advanced paternal age at conception may be a risk factor for early progression towards cardiac fibrosis. An intergenerational transmission may be behind the paternal age-related cardiac remodeling in the young offspring.
Decision‐Making Mechanism of Cooperative Innovation between Clients and Service Providers Based on Evolutionary Game Theory
Authors: Xu Zhiyuan , Cao Jiming , Xu Yunhua , Sun Yeke , Zhang Xingjing
Published: September 2022

With the maturity of the service outsourcing market and the development of business relations, the core of outsourcing is shifting from transactional services to risk sharing and value creation. The client and service provider have an increasing interest in service innovation. Although cooperative innovation between them has many benefits, the two parties do not necessarily establish a cooperative innovation relationship. Regarding this issue, an evolutionary game focusing on client‐service provider cooperative innovation behavior is constructed and solved. Based on the results and a corresponding numerical simulation, the decision‐making mechanism of the cooperative innovation behavior is studied, and suggestions are provided regarding how to promote cooperative innovation. The results show that the benefits of both the client and service provider when they innovate cooperatively being greater than that when they innovate independently cannot guarantee that the system will certainly evolve to a stable state in which both parties adopt a cooperation strategy. However, as long as a condition in which either party gains more than zero when it innovates independently is established in addition to the preceding condition, the system will certainly evolve to a stable state in which both parties adopt a cooperative strategy. The following measures can be taken to promote client‐service provider cooperation: improving the initial probabilities of the two parties choosing the cooperative strategy; increasing the innovation benefit when one party innovates independently; reducing the innovation cost and spillover coefficient when one party innovates independently; increasing the penalty when one party cooperates and the other party does not; decreasing the innovation cost when the two parties both choose the cooperation strategy; increasing the excess benefit when the two parties both cooperate; setting reasonable benefit distribution and cost sharing proportions.
Diabetes Mellitus Disease Prediction Using Machine Learning Classifiers with Oversampling and Feature Augmentation
Authors: Ahamed B. Shamreen , Arya Meenakshi S. , Nancy Auxilia Osvin V.
Published: September 2022

The technical improvements in healthcare sector today have given rise to many new inventions in the field of artificial intelligence. Patterns for disease identification are carried out, and the onset of prediction of many diseases is detected. Diseases include diabetes mellitus disease, fatal heart diseases, and symptomatic cancer. There are many algorithms that have played a critical role in the prediction of diseases. This paper proposes an ML based approach for diabetes mellitus disease prediction. For diabetes prediction, many ML algorithms are compared and used in the proposed work, and finally the three ML classifiers providing the highest accuracy are determined: RF, GBM, and LGBM. The accuracy of prediction is obtained using two types of datasets. They are Pima Indians dataset and a curated dataset. The ML classifiers LGBM, GB, and RF are used to build a predictive model, and the accuracy of each classifier is noted and compared. In addition to the generalized prediction mechanism, the data augmentation technique is also used, and the final accuracy of prediction is obtained for the classifiers LGBM, GB, and RF. A comparative study and demonstration between augmentation and non-augmentation are also discussed for the two datasets used in order to further improve the performance accuracy for predicting diabetes disease.
A Nonconventional Auxiliary Information Based Robust Class of Exponential-type Difference Estimators
Authors: Abid Muhammad , Latif Waqas , Nawaz Tahir , Onyango Ronald , Tahir Muhammad
Published: September 2022

This study proposes a new class of improved exponential-type difference estimators of finite population mean by using supplementary information of known median along with suitable combinations of the conventional and non-conventional measures of the auxiliary variables under simple random sampling scheme. The expressions for the mean squared error and minimum mean squared error are derived up to first order of the approximation. Six real data sets were used to assess the performance of proposed class of estimators in comparison with existing estimators. The compariosn established that the suggested class of estimators are efficient than their existing counterparts considered in this study. To further support the findings of the numerical comparison, a simulation study was carried out which also proved the superiority of the proposed class of estimators of population mean. To gauge the performance of the propsoed class of estimators when some outliers are present in the data, a robustness study was carried out which showed that the proposed estimators considerably outperform their existing counterparts in terms of lower mean squared errors.
Research on the Effective Fusion of Traditional Art and Old Street Culture Construction Based on Fuzzy Algorithm
Authors: Gong Miao
Published: September 2022

With the rapid development of modern science and technology, people gradually lose the importance of traditional art and old street culture, and it plays a vital role in improving the knowledge and cultural level of the people. This paper aims to effectively integrate traditional art and old street culture construction by studying fuzzy algorithms. In the era of rapid technological development, traditional culture and art must keep pace with the times and combine traditional art and old street culture through more scientific algorithms through fuzzy algorithm to solve the effective integration of traditional art and old street culture in today's society. Based on the fuzzy algorithm and visualization technology, this paper checks the meaning of traditional art and collective research by analyzing the fuzzy algorithm, uses experiments to verify the theory, refines cultural symbols, and proposes activation methods to integrate traditional art and old street culture as a whole. Through the defuzzification algorithm and the hierarchical evaluation fuzzy algorithm, people's subjective evaluation of the integration of traditional art and old street culture is calculated, and the algorithm is optimized from the above aspects, which substantially contributes to the effective integration of traditional art and old street culture. This case study can also provide new ideas for the protection of historical and cultural blocks in many cities and the integration of traditional art, remedy the dying traditional art and old street culture, and bring a gluttonous feast to the construction of traditional art and old street culture.
Interpersonal Psychotherapy for Bereavement-Related Major Depressive Disorder in Japan: A Systematic Case Report
Authors: Toshishige Yuko , Kondo Masaki , Okazaki Junya , Mizushima Hiroko , Akechi Tatsuo
Published: September 2022

Bereavement-related major depressive disorder (MDD) is a common disorder with both mental and physical effects. Specific psychotherapies for bereavement-related MDD remain unavailable in Japan despite its relatively high prevalence. Interpersonal psychotherapy (IPT) is a treatment with established efficacy for MDD, including bereavement-related MDD. There are, however, few studies of IPT for MDD and none at all for bereavement-related MDD in Japan. The efficacy of IPT for bereavement-related MDD needs confirmation in Japanese culture because the expression of emotions during the grieving and mourning process varies across cultures, and the Japanese-specific cultural custom exists of maintaining a relationship with the deceased in the afterlife mainly via a Buddhist memorial tablet, altar, and grave. We present a case study describing the therapist’s adaptation of IPT to Japanese culture to treat bereavement-related MDD in a Japanese man with insufficient response to pharmacotherapy who had suddenly lost his mother to heart disease. His mother’s death and a dispute with his father both appeared to have contributed to his sustained bereavement-related MDD. The 16-session treatment course for depressive symptoms was monitored using the Beck Depression Inventory-II. Treatment was scheduled weekly, but some sessions unavoidably took place fortnightly because they were conducted in person during the COVID-19 pandemic. The patient’s MDD severity continually decreased, functional disability gradually recovered from the beginning until the 3-month follow-up, and the interpersonal relationships with his deceased mother, his wife, colleague, and father changed after IPT. Case studies are inherently limited, but IPT, in consideration of Japanese cultural characteristics for bereavement-related MDD, can be potentially effective in Japan.
Efficacy of Levobupivacaine Versus Levobupivacaine Plus Dexmedetomidine Infiltration for Post-Tonsillectomy Analgesia: A Randomized Controlled Trial
Authors: Abo Elfadl Ghada Mohammad , AbdelRady Marwa Mahmoud , Osman Hany M. , Gad Mohamed Omar , Abd el-Rady Nessren M. , Ali Wesam Nashat
Published: September 2022

Background. The study evaluated the analgesic effects of levobupivacaine infiltration in the tonsil bed, and a combination of levobupivacaine and dexmedetomidine in patients undergoing tonsillectomy. Methods. Ninety children (ages 3 to 7 years) who were scheduled for a tonsillectomy were allocated randomly into two groups. (L Group): peritonsillar infiltration with 0.25% levobupivacaine (2 ml + 0.5 ml saline 0.9% per tonsil). (LD Group): levobupivacaine 0.25% (2 ml) plus dexmedetomidine 1 μg/kg diluted in 1 ml saline 0.9% (0.5 ml in each tonsil), and administered by peritonsillar infiltration (2.5 ml per tonsil) following intubation 3–5 minutes before operation. To avoid bias, infiltrate a total volume of 2.5 ml in each tonsil. The first analgesic request time was the primary outcome, with postoperative pain score, total analgesic consumption, total oral intake, sedation, and side effects as secondary outcomes. Results. The first rescue analgesia time in the LD group was longer (644.31 ± 112.89 min) than in the L group (551.51 ± 146.16 min,

P

-value <0.001). The number of patients who required >1 analgesic dose in the L group (n = 13) was higher than in the LD group (n = 5). The LD group consumes a lower total dose of IV paracetamol in the first 24 hours postoperatively (321.89 ± 93.25 mg) than the L group (394.89 ± 183.71 mg,

P
<
0.00

-value < 0.050). On the first day postoperatively, patients in the LD group had a higher total oral intake (

P
<
0.001

). Except for a slight increase in laryngospasm in the L group, there were no side effects. Conclusions. The Children’s peritonsillar infiltration of levobupivacaine and dexmedetomidine improved postoperative pain after adenotonsillectomy. The topically applied levobupivacaine and dexmedetomidine were concomitant with no systemic effects, greater total oral intake on the first day postoperative, and higher family satisfaction.
African Ancestry–Associated Gene Expression Profiles in Triple-Negative Breast Cancer Underlie Altered Tumor Biology and Clinical Outcome in Women of African Descent
Authors: Martini Rachel , Delpe Princesca , Chu Timothy R. , Arora Kanika , Lord Brittany , Verma Akanksha , Bedi Deepa , Karanam Balasubramanyam , Elhussin Isra , Chen Yalei , Gebregzabher Endale , Oppong Joseph K. , Adjei Ernest K. , Jibril Suleiman Aisha , Awuah Baffour , Muleta Mahteme Bekele , Abebe Engida , Kyei Ishmael , Aitpillah Frances S. , Adinku Michael O. , Ankomah Kwasi , Osei-Bonsu Ernest Baawuah , Chitale Dhananjay A. , Bensenhaver Jessica M. , Nathanson David S. , Jackson LaToya , Petersen Lindsay F. , Proctor Erica , Stonaker Brian , Gyan Kofi K. , Gibbs Lee D. , Monojlovic Zarko , Kittles Rick A. , White Jason , Yates Clayton C. , Manne Upender , Gardner Kevin , Mongan Nigel , Cheng Esther , Ginter Paula , Hoda Syed , Elemento Olivier , Robine Nicolas , Sboner Andrea , Carpten John D. , Newman Lisa , Davis Melissa B.
Published: September 2022

Women of sub-Saharan African descent have disproportionately higher incidence of triple-negative breast cancer (TNBC) and TNBC-specific mortality across all populations. Population studies show racial differences in TNBC biology, including higher prevalence of basal-like and quadruple-negative subtypes in African Americans (AA). However, previous investigations relied on self-reported race (SRR) of primarily U.S. populations. Due to heterogeneous genetic admixture and biological consequences of social determinants, the true association of African ancestry with TNBC biology is unclear. To address this, we conducted RNA sequencing on an international cohort of AAs, as well as West and East Africans with TNBC. Using comprehensive genetic ancestry estimation in this African-enriched cohort, we found expression of 613 genes associated with African ancestry and 2,000+ associated with regional African ancestry. A subset of African-associated genes also showed differences in normal breast tissue. Pathway enrichment and deconvolution of tumor cellular composition revealed that tumor-associated immunologic profiles are distinct in patients of African descent.

Significance:

Our comprehensive ancestry quantification process revealed that ancestry-associated gene expression profiles in TNBC include population-level distinctions in immunologic landscapes. These differences may explain some differences in race–group clinical outcomes. This study shows the first definitive link between African ancestry and the TNBC immunologic landscape, from an African-enriched international multiethnic cohort.

See related commentary by Hamilton et al., p. 2496.

This article is highlighted in the In This Issue feature, p. 2483
circCELF1 Induces the Apoptosis and Autophagy of Astrocytes in Ischemic Stroke via Upregulating NFAT5
Authors: Li Wei , Teng Junfang
Published: September 2022

Introduction: Ischemic stroke, an abrupt blockage of artery, accounting for the most cases of stroke, causes high neurological mortality across the world. Recent evidence has uncovered that circular RNAs (circRNAs) highly engage in ischemic stroke-related neuronal injury. This study concentrated on a novel circRNA hsa_circ_0000304 (termed as circCELF1), trying to unveil its role and underlying mechanism in ischemic stroke. Methods: RT-qPCR and Western blot assays were conducted to detect the expression levels of RNA and protein, respectively. Functional analysis was performed to evaluate the influences of circCELF1 expression on astrocyte apoptosis and autophagy. Multiple mechanism assays were performed to probe the molecular mechanism underlying circCELF1 regulation. The oxygen-glucose deprivation/reoxygenation (OGD/R)-induced astrocytes model and transient middle cerebral artery occlusion (tMCAO) mouse model were constructed. Results: circCELF1 was found to be upregulated in OGD/R-induced astrocytes, relative to normal astrocytes. circCELF1 knockdown repressed the apoptosis and autophagy of astrocytes. The in vivo study conducted with the tMCAO model also revealed that circCELF1 or NFAT5 deficiency contributed to the suppression of neural injury. Further, circCELF1 was uncovered to elevate NFAT5 expression via recruiting DDX54, functionally promoting astrocyte apoptosis and autophagy. Conclusion: circCELF1 recruits DDX54 to upregulate NFAT5, by which astrocyte apoptosis and autophagy are stimulated.
Factors Associated with a High-Risk Profile for Developing Pressure Injuries in Long-Term Residents of Nursing Homes
Authors: Elli Chiara , Novella Alessio , Nobili Alessandro , Ianes Aladar , Pasina Luca
Published: September 2022

Objectives: Pressure injuries are a health problem of special concern for older adults, and different scales are used to assess the risk of developing these ulcers. We assessed the prevalence of residents at high risk of pressure injuries using a Norton scale and examined its relationships with the most important risk factors in a large sample of Italian nursing homes (NHs). Method: This was a cross-sectional cohort study in a sample of Italian long-term care NHs with data collected between 2018 and 2020. Results: We recruited 2,604 NH residents; 1,252 had Norton scale scores, 41 (3.3%) had a diagnosis of pressure injuries, 571 (45.6%) had a Norton score ≤9, and 453 (36.2%) had a score between 10 and 14. The univariate model showed a relationship between female sex, age, dementia, and cerebrovascular disease with a Norton scale score ≤9. The significant associations were confirmed in the multivariate model with stepwise selection. Conclusion: The prevalence of NH residents at high risk of pressure injuries was very high using the Norton scale, but the percentage of residents who develop these ulcers is lower. Female NH residents with advanced age, dementia, and a history of cerebrovascular disease should be carefully monitored.