Xiaolei Deng^a,b,c,*,† , Jin Wang^d , Jinyu Zhou^a, Hongcheng Shen^a, Zefeng Sheng^a, Jianglin Zhang^a, Xiaowen L^a, Changxiong Xie^a

Frontiers in Heat and Mass Transfer, Vol.12, pp. 1-6, 2019, DOI:10.5098/hmt.12.13

Abstract A hybrid cellular automaton model combined with finite element method for structural topology optimization with mechanical and heat constraints is developed. The effect of thermal stress on structural optimization is taken into account. Higher order 8-node element and von Neumann strategy are employed for the finite element and the cellular element, respectively. The validating studies of standard testing structure for topological optimization are carried out. The structure evolution, stress evolution and thermal evolution of topology optimization with mechanical and heat constraints are investigated. The results show the developed hybrid method is more efficient for structural topology optimization. Meanwhile, the topology… More >

Xiaolei Deng^a,b,c,*, Jin Wang^d , Hongcheng Shen^a, Jinyu Zhou^a, Jianchen Wang^a,c, Changxiong Xie^a, Jianzhong Fu^b

Frontiers in Heat and Mass Transfer, Vol.13, pp. 1-6, 2019, DOI:10.5098/hmt.13.13

Abstract A hybrid cellular automaton model combined with a finite element method for thermal topology optimization of spindle structure is developed. The higher order 8-node element and von Neumann strategy are employed for the finite element and the cellular element, respectively. The local sensitivity filtering algorithm and the weight approach are applied. The four validating studies of two-dimensional structure for thermal topology optimization are carried out. The structure evolution and thermal distribution evolution of thermal topology optimization are investigated. The results show the developed hybrid method is more efficient for thermal topology optimization. Meanwhile, the thermal topology optimization for spindle structure… More >

Huaxin Zhou^1,2, Ziying Fang³, Yilin Wang⁴, Mengjun Tong^1,2,*

CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 175-194, 2023, DOI:10.32604/cmc.2023.037342

Abstract Plant diseases have become a challenging threat in the agricultural field. Various learning approaches for plant disease detection and classification have been adopted to detect and diagnose these diseases early. However, deep learning entails extensive data for training, and it may be challenging to collect plant datasets. Even though plant datasets can be collected, they may be uneven in quantity. As a result, the problem of classification model overfitting arises. This study targets this issue and proposes an auxiliary classifier GAN (small-ACGAN) model based on a small number of datasets to extend the available data. First, after comparing various attention… More >

M. Karoui, R. Kamoun, H. Nefzi, N. Marrakchi, H. Raies, A. Mezlini, K. Meddeb, F. Ellouze

Psycho-Oncologie, Vol.17, No.1, pp. 31-37, 2023, DOI:10.3166/pson-2022-0211

Abstract Aim: The objective of this study is to investigate the prevalence of depression and anxiety in women Tunisian population followed for breast cancer and to identify the socio-demographic, clinical, and of couple relationship factors associated with them.
Procedure: Cross-sectional study on 100 patients followed for confirmed breast cancer. A questionnaire on the sociodemographic, clinical, therapeutic, conjugal, and sexual characteristics of the couple was completed. The HADS (Hospital Anxiety and Depression Scale) was used for the detection of anxiety and depressive symptoms.
Results: A clinical score was found in 48% of cases for anxiety and 37% of cases for depression. Patients… More >

Jameel M. Al-Khayri^1,*, Salha M. Alshamrani², Adel A. Rezk¹, Wael F. Shehata¹, Mustafa I. Almaghasla³, Tarek A. Shalaby^3,4, Ahmed M. Saad⁵, Fatmah A. Safhi⁶, Muhammad N. Sattar⁷, Arafat A. Abdel Latef⁸, Mahmoud Z. Sitohy⁵, Abdallah A. Hassanin^9,*

Phyton-International Journal of Experimental Botany, Vol.92, No.5, pp. 1493-1512, 2023, DOI:10.32604/phyton.2023.027375

Abstract Appropriate knowledge of the parental cultivars is a pre-requisite for a successful breeding program. This study characterized fruit yield, quality attributes, and molecular variations of ten tomato cultivars during three consecutive generations under greenhouse conditions. Peto 86, Castle Rock, and Red Star cultivars showed the highest fruit yield (kg/plant), total phenolic compounds (TPC), and sap acidity. Principal component analysis categorized the evaluated fruit yield into three groups based on their quality attributes. A robust positive correlation appeared among traits inside each group. A positive correlation was likewise noticed between the first and the second groups. However, a negative correlation was… More >

Zhengguang Liu¹, Jun Yang¹, Tobi Fadiji², Zhiguo Li^1,*, Jiheng Ni³

Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1071-1090, 2023, DOI:10.32604/phyton.2023.026408

Abstract Wind disturbance as a green method can effectively prevent the overgrowth of tomato seedlings, and its mechanism may be related to root system mechanics. This study characterized the biophysical mechanical properties of taproot and lateral roots of tomato seedlings at five seedling ages and seedling substrates with three different moisture content. The corresponding root system-substrate finite element (FE) model was then developed and validated. The study showed that seedling age significantly affected the biomechanical properties of the taproot and lateral roots of the seedlings and that moisture content significantly affected the biomechanical properties of the seedling substrate (p < 0.05).… More >

Rabia Manzoor^1,*, Mohammad Saleem Akhtar¹, Khalid Saifullah Khan¹, Taqi Raza², Muhammad Ishaq Asif Rehmani³, Carl Rosen⁴, Muhammad Khalil ur Rehman⁵, Nahla Zidan⁶, Fahad M. Alzuaibr⁷, Nisreen M. Abdulsalam⁸, Najla A. Khateeb⁹, Majid Alhomrani^10,11, Abdulhakeem S. Alamri^10,11, Javeed Ahmad Lone¹², Muhammad Ammar Raza¹³, Ayman El Sabag

Phyton-International Journal of Experimental Botany, Vol.91, No.12, pp. 2759-2774, 2022, DOI:10.32604/phyton.2022.022988

Abstract Tomato is an important field crop, and nutritional imbalances frequently reduce its yield. Diagnosis and Recommendation Integrated System (DRIS), uses ratios for nutrient deficiency diagnosis instead of absolute concentration in plant tests. In this study, local DRIS norms for the field tomatoes were established and the nutrient(s) limiting tomatoes yield were determined. Tomato leaves were analyzed for nutrients, to identify nutritional status using the DRIS approach. One hundred tomatoes fields were selected from Chatter Plain Khyber Pakhtunkhwa and the Sheikupura Punjab Pakistan. The first fully matured leaf was sampled, rinsed, dried and ground for analyzing P, K, Ca, Mg, Cu,… More >

WEI ZHOU, MENGMENG ZHANG, KEZHANG TAO, XIANCAN ZHU^*

BIOCELL, Vol.46, No.12, pp. 2575-2582, 2022, DOI:10.32604/biocell.2022.021910

Abstract Land salinization is a major form of land degradation, which is not conducive to the growth and quality of fruits and vegetables. Plant salt tolerance can be enhanced by arbuscular mycorrhizal fungi (AMF) or plant growth-promoting rhizobacteria (PGPR). This study examined the effects of inoculation with PGPR singly or in combination with AMF, on the growth and quality of tomato fruits under low saline conditions. Tomatoes were cultivated in a greenhouse with sterilized soil, inoculated with PGPR, AMF, or co-inoculated with PGPR and AMF, and NaCl solution (1%) was added to the soil. The results indicated that AMF + PGPR… More >

Xun Li¹, Wenzhe Ma^1,*, Zhengfan Zhao², Muhammad Bashir¹, Wenjie Wang¹, Xiaohua Wang¹

CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 67-92, 2022, DOI:10.32604/cmes.2022.020019

Abstract In a multi-lane area, the increasing randomness of lane changes contributes to traffic insecurity and local traffic flow instability. A study on safe lane shifting activity that focuses on threat assessment under real-time knowledge is necessary to enhance smooth vehicle flow. This paper proposed a more comprehensive lane changing guidance rule to investigate the status of surrounding vehicles to accommodate future vehicle-on-road collaborative environments based on these parameters 1) lane change demand and 2) treat assessment function. The collaborative relationships between vehicles are analyzed using a cellular automata model based on their location, velocity, and acceleration. We analyze and examine… More >

Yanjiao Zheng¹, Zaiqiang Yang^1,2,*, Tingting Wei¹, Heli Zhao¹

Phyton-International Journal of Experimental Botany, Vol.91, No.9, pp. 2033-2054, 2022, DOI:10.32604/phyton.2022.019468

Abstract The combined stress of high temperature and high relative air humidity is one of the most serious agrometeorological disasters that restricts the production capacity of protected agriculture. However, there is little information about the precise interaction between them on tomato fruit quality. The objectives of this study were to explore the effects of the combined stress of high temperature and relative humidity on the sugar and acid metabolism and fruit quality of tomato fruits, and to determine the best relative air humidity for fruit quality under high temperature environments. Four temperature treatments (32°C, 35°C, 38°C, 41°C), three relative air humidity… More >