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Dr. Herbert ***:True Friend of China

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China Today 2007年第1期56卷 32-33页

作者： Shen Yan B.sc and m.sc.in Systems and Industrial Engineering from the University of Arizona U.S.A

ON September 2, 2006, 400 or so people gathered in the Du Val Auditorium of the University medical Center, inTucson, Arizona, USA to pay tribute to the memory of Dr. Herbert K. Abrams. At center stage was a screen, up... 详细信息

关键词： Dr. Herbert K. Abrams 医生公共卫生美国

Evaluating marketability of Ten Selected Cultivars of mango

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Open Journal of Ecology 2016年第5期6卷 219-224页

作者： Seyed morteza Zahedi Zahra Sadat Asgarian Farzad Kian Ersi Azar Seydi Young Researchers and Elite Club Karaj Branch Islamic Azad University Karaj Iran Department of Horticultural sciences Bu-Ali Sina University Hamedan Iran Young Researchers and Elite Club Hamedan Branch Islamic Azad University Hamedan Iran m.sc. Agricultural and Natural Resources Research and Education Center Ilam Iran

mango is one of the most popular fruits in the world due to its attractive color, delicious taste, and excellent nutritional properties. mango is among the most economically and culturally important tropical fruits. mangos have become a standard food crop in south Iran. Quality determination of fruits is at present characterized by the overwhelming use of sensory. Quality indices include primarily external properties, such as appearance, size, shape, colour, texture, and flavour. mangoes are rich in antioxidants. Antioxidants are really necessary for human diet and a healthy and longer life. Numerous phytochemicals are present in mango peel and pulp, such as the triterpene, lupeol which is under basic research for its potential biological effects. Thus high quality will attract people to the high consumption of fruits. Cultivars prepared with the origin of the Iran, India, Pakistan, and the Philippines. In this study, 10 cultivars were compared in terms of some indicators of quality in Ahvaz. One of the mango quality evaluation methods is sensory laboratory evaluation (panel test). This research carried out at 2013 in Chamran University, Ahvaz, Iran. The result indicated that the most quality was related to Alphonso cultivar. On this basis, fruit features such as mango flesh and skin color are an important component role in consumer acceptability.

关键词： Control marketability Sensory Laboratory Evaluation

modeling the Influence of Salt on the Hydrophobic Effect and Protein Fold Stability

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Communications in Computational Physics 2013年第1期13卷 90-106页

作者： mihir S.Date Brian N.Dominy Department of Chemistry Clemson UniversityClemson SC 29631USA.

Salt influences protein stability through electrostatic mechanisms as well as through nonpolar Hofmeister *** the present work,a continuum solvation based model is developed to explore the impact of salt on protein *** model relies on a traditional Poisson-Boltzmann(PB)term to describe the polar or electrostatic effects of salt,and a surface area dependent term containing a salt concentration dependent microscopic surface tension function to capture the non-polar Hofmeister *** model is first validated against a series of cold-shock protein variants whose salt-dependent protein fold stability profiles have been previously determined *** approach is then applied to HIV-1 protease in order to explain an experimentally observed enhancement in stability and activity at high(1m)NaCl *** inclusion of the salt-dependent non-polar term brings the model into quantitative agreement with experiment,and provides the basis for further studies into the impact of ionic strength on protein structure,function,and evolution.

关键词： Electrostatic stability hydrophobic effect halophile cold shock protein HIV-1 protease

Physics guided deep learning for generative design of crystal materials with symmetry constraints

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npj Computational materials 2023年第1期9卷 1969-1980页

作者： Yong Zhao Edirisuriya m.Dilanga Siriwardane Zhenyao Wu Nihang Fu mohammed Al-Fahdi ming Hu Jianjun Hu Department of Computer science and Engineering University of South Carolina550 Assembly St.29201 ColumbiaSCUSA Department of Physics University of ColomboColombo 3Sri Lanka Department of mechanical Engineering University of South Carolina301 Main Street29201 ColumbiaSCUSA

Discovering new materials is a challenging task in materials science crucial to the progress of human society. Conventionalapproaches based on experiments and simulations are labor-intensive or costly with success heavily depending on experts’heuristic knowledge. Here, we propose a deep learning based Physics Guided Crystal Generative model (PGCGm) for efficient crystalmaterial design with high structural diversity and symmetry. Our model increases the generation validity by more than 700%compared to FTCP, one of the latest structure generators and by more than 45% compared to our previous CubicGAN *** Functional Theory (DFT) calculations are used to validate the generated structures with 1869 materials out of 2000 aresuccessfully optimized and deposited into the Carolina materials Database ***, of which 39.6% have negativeformation energy and 5.3% have energy-above-hull less than 0.25 eV/atom, indicating their thermodynamic stability and potentialsynthesizability.

关键词： symmetry crystal materials

Repeatability and Variability of the 3-min All-Out Test at the Subject Level

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Journal of science in Sport and Exercise 2023年第1期5卷 77-86页

作者： Vijay Sarthy m.Sreedhara Gregory m.mocko Randolph E.Hutchison Department of mechanical Engineering Clemson University243 Fluor Daniel EIBClemsonSC 29634-0921USA Department of Health sciences Furman UniversityGreenvilleSC 29613USA

Purpose The constant work-rate to exhaustion tests must be repeated several times at each work-rate to estimate subject-level trial-to-trial variance(intra-individual variability,IIV)of critical power(CP)and work capacity(W').Alternatively,these parameters and their variance can be estimated by repeating the 3-min all-out test(3mT)fewer *** purpose of this study was to propose a method to determine subject-level repeatability of the 3mT and demonstrate the need to repeat the test multiple times to estimate *** Seven cyclists performed a ramp test and four 3mTs on a *** parameters CP,W',peak power(Pp),and total work(TW)were compared across trials using repeated measures ANOVA,Bland-Altman analysis,Intraclass Cor-relation Coefficients(ICC),Typical Error(TE)of measurement,and Coefficient of Variation(CV).Results For the group,average CP and W'were 284±58 W and 10.214±3.143 *** reliability statistics,CP(ICC=0.97,TE=8 W,CV=2.94%)and W'(ICC=0.88,TE=1.11 kJ,CV=10.87%),indicated strong ***-level repeatability was determined by comparing time-to-peak power(TPp),absolute difference in Pp(δPp),and TW(δTW)for pairs of *** average IIVs estimated by the 95%confidence intervals were±15 W for CP and±1.68 kJ for W'.Conclusions Thresholds are proposed for TPp(7 s),δPp(10%),andδTW(3%)to determine subject-level repeatability of the 3mT before computing the IIV of CP and W'.It is suggested that the 3mT is repeated at least three times to estimate the IIV,which aids in personalized measurement of training improvements and performance optimization。

关键词： Critical power W' 3-min all-out test Repeatability Intra-individual variability

modeling minimum detectable activity as a function of detector speed

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Radiation Detection Technology and methods 2019年第3期3卷 70-77页

作者： James Falkner Craig marianno US Navy Naval Health Clinic Charleston110 NNPTC CircleGoose CreekSC 29445USA Texas A&m University 3473 TAMUCollege StationTX 77843USA

Purpose A radiation detector’s sensitivity is important when designing survey plans.A measure of sensitivity is minimum detectable activity(mDA)which is the lowest amount of activity required for a signal to be distinguished above *** has been known for some time that the efficiency of a moving detector can be improved by slowing the speed of *** multi-Agency Radiation Survey and Site Investigation manual describes but does not quantify this *** efficiency at higher speeds results in higher mDAs and thus less sensitive *** purpose of this research is to specifically define the relationship between detector mDA and *** Python was employed to calculate solid angle from equations developed by masket and mCNP6.1 simulations were used to determine detection efficiency for a moving *** these results efficiency as a function of detector travel speed was fit to a modified four-parameter logistic function(m4PL).Results The result of this work is a well defined relationship that can be used to predict mDA as a function of *** relationship can also be used by operators to determine the optimum speed needed to meet a predefined *** Understanding this relationship between detector speed and efficiency will improve detector performance in remediation efforts and national security search *** m4PL function developed in this research allows optimizing remediation and wide-area radiation survey activities by setting maximum survey speed to meet a predetermined mDA.

关键词： Counting efficiency Detection limits monte Carlo Operational topics

S1P/S1PR1 signaling differentially regulates the allogeneic response of CD4 and CD8 T cells by modulating mitochondrial fission

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Cellular & molecular Immunology 2022年第11期19卷 1235-1250页

作者： Linlu Tian Yongxia Wu Hee-Jin Choi Xiaohui Sui Xinlei Li m.Hanief Sofi mohamed Faisal Kassir Xiao Chen Shikhar mehrotra Besim Ogretmen Xue-zhong Yu Department of microbiology&Immunology Medical University of South CarolinaCharlestonSCUSA Department of microbiology&Immunology Medical College of WisconsinMilwaukeeWIUSA Department of medicine Medical College of WisconsinMilwaukeeWIUSA Department of Biochemistry&molecular Biology Medical University of South CarolinaCharlestonSCUSA Department of Surgery Medical University of South CarolinaCharlestonSCUSA Hollings Cancer Center Medical University of South CarolinaCharlestonSCUSA The Cancer Center Medical College of WisconsinMilwaukeeWIUSA

Graft-versus-host disease (GVHD) significantly contributes to patient morbidity and mortality after allogeneic hematopoietic cell transplantation (allo-HscT). Sphingosine-1-phosphate (S1P) signaling is involved in the biogenetic processes of different immune cells. In the current study, we demonstrated that recipient sphingosine kinase 1 (Sphk1), but not Sphk2, was required for optimal S1PR1-dependent donor T-cell allogeneic responses by secreting S1P. Using genetic and pharmacologic approaches, we demonstrated that inhibition of Sphk1 or S1PR1 substantially attenuated acute GVHD (aGVHD) while retaining the graft-versus-leukemia (GVL) effect. At the cellular level, the Sphk1/S1P/S1PR1 pathway differentially modulated the alloreactivity of CD4+ and CD8+ T cells;it facilitated T-cell differentiation into Th1/Th17 cells but not Tregs and promoted CD4+ T-cell infiltration into GVHD target organs but was dispensable for the CTL activity of allogeneic CD8+ T cells. At the molecular level, the Sphk1/S1P/S1PR1 pathway augmented mitochondrial fission and increased mitochondrial mass in allogeneic CD4+ but not CD8+ T cells by activating the AmPK/AKT/mTOR/Drp1 pathway, providing a mechanistic basis for GVL maintenance when S1P signaling was inhibited. For translational purposes, we detected the regulatory efficacy of pharmacologic inhibitors of Sphk1 and S1PR1 in GVHD induced by human T cells in a xenograft model. Our study provides novel mechanistic insight into how the Sphk1/S1P/S1PR1 pathway modulates T-cell alloreactivity and validates Sphk1 or S1PR1 as a therapeutic target for the prevention of GVHD and leukemia relapse. This novel strategy may be readily translated into the clinic to benefit patients with hematologic malignancies and disorders.

关键词： Sphk1 S1P S1PR GVHD GVL mitochondrial fission

Hydroelectric Power Plant Consultation Process and Public Participation: A Real Tool for Sustainable Development

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Hydroelectric Power Plant Consultation Process and Public Pa...

Fire resistance evaluation through synthetic fire tests and generative adversarial networks

联合国水电与可持续发展研讨会

作者： Antonio Fonseca dos Santos m sc Colorado State University USA Brascan Brasil Corporation Environmental Manager

This paper presents the consultation process and public participation in the construction of Salto Caxias Hydroelectric Power Plant, in southern Brazil, and details how the actions taken during these processes helped to implement with success the resettlement of approximately 900 families of rural works, that had to give up their land allowing the formation of the reservoir, and the economical development plan designed for the region at that time, called PROCAXIAS, that is currently being carried out creating jobs, helping to recover the economy of the region somehow stagnant since the early 1980’s.

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Frontiers of Structural and Civil Engineering 2024年第4期18卷 587-614页

作者： Aybike Özyüksel Çiftçioğlu m.Z.Naser Department of Civil Engineering Manisa Celal Bayar University45140Türkiye school of Civil&Environmental Engineering and Earth sciences(scEEES) Clemson UniversityClemsonSC 29631USA Artificial Intelligence Research Institute for science and Engineering(AIRISE) Clemson UniversityClemsonSC 29631USA

This paper introduces a machine learning approach to address the challenge of limited data resulting from costly and time-consuming fire experiments by enlarging small fire test data sets and predicting the fire resistance of reinforced concrete *** approach begins by creating deep learning models,namely generative adversarial networks and variational autoencoders,to learn the spatial distribution of real fire *** then use these models to generate synthetic tabular samples that closely resemble realistic fire resistance values for reinforced concrete *** generated data are employed to train state-of-the-art machine learning techniques,including Extreme Gradient Boost,Light Gradient Boosting machine,Categorical Boosting Algorithm,Support Vector Regression,Random Forest,Decision Tree,multiple Linear Regression,Polynomial Regression,Support Vector machine,Kernel Support Vector machine,Naive Bayes,and K-Nearest Neighbors,which can predict the fire resistance of the columns through regression and *** learning analyses achieved highly accurate predictions of fire resistance values,outperforming traditional models that relied solely on limited experimental *** study highlights the potential for using machine learning and deep learning analyses to revolutionize the field of structural engineering by improving the accuracy and efficiency of fire resistance evaluations while reducing the reliance on costly and time-consuming experiments.

关键词： deep learning fire resistance generative adversarial networks machine learning