Related factors and prognostic significance of predialysis blood pressure variability by LV Yu-feng, DONG Hai-xia

“…Objective To study the clinical variables that may plausibly influence predialysis systolic blood pressure variability(SBPV),and to investigate the correlations of predialysis SBPV with all-cause mortality in patients receiving prevalent maintenance hemodialysis(MHD).Methods A total of 50 patients were enrolled in the study.All the blood pressure values before each dialysis were recorded between March and May in 2011.The mean systolic pressure(SBP)was calculated,and SBPV was estimated with the coefficient of variability.During the three months,clinical data and related biochemical parameters were collected,and echocardiography was carried out to detect cardiac structure and function.Death events were recorded during the next five years.Results The predialysis SBPV was 8.5% ±2.1%.SBPV showed a positive correlation with the age,body mass index(BMI)and left atrial diameter(LAD)(P<0.05 for all).Meantime,SBPV showed a negative correlation with the serum creatinine(SCr),average DBP,parathyroid hormone(PTH),doses of calcium carbonate and activated vitamin D(P<0.05).Patients with diabetes mellitus(DM),coronary artery disease(CAD)or taking alfablocker had higher SBPV(P<0.05).SBPV was used as a variate for conducting the multiple linear regression analysis,after adjustment,the seven variables of age,DM,CAD,BMI,LAD,SCr and taking alfa-blocker maintained their associations with predialysis SBPV(P<0.05).The equation of R~2=0.630.During 5 years of follow-up,12 patients died(24.0%).The Kaplan-meier survival analysis showed that the predialysis SBPV elevation was associated with the mortality rate(P<0.01).Conclusions Advanced age,the history of DM and/or CAD,lower SCr,higher BMI and LAD,and taking alpha-blocker were the independent risk factors of increased predialysis SBPV.The predialysis SBPV increase is associated with all-cause mortality in patients given prevalent MHD.…”
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Polarization Characteristics of a Metasurface with a Single via and a Single Lumped Resistor for Harvesting RF Energy by Erik Madyo Putro, Satoshi Yagitani, Tomohiko Imachi, Mitsunori Ozaki

“…The proposed design demonstrates a symmetric unit cell structure with one via and a resistor that exhibits polarization-dependent behavior for linear polarization. …”
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Characterization and predictive modelling of quasi-saturated hydraulic conductivity across land use systems in the Northwest Himalayas by Deepak Singh, Nisha Singh, Harendra Singh, Sadikul Islam, Anuj Kumar Dwivedi, C. S. P. Ojha, Anupam Barh

“…Results showed that forested lands exhibited superior soil structure and water dynamics: porosity was highest in deodar (TP: 0.49) and oak (TP: 0.48) soils, while barren land had the lowest (TP: 0.41). …”
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Interaction of Growth Pole and Shannon’s Entropy in Banda Aceh City by Noer Fadhly, Muhammad Rusdi, Alfa Taras Bulba

“…The results of identifying the factors influencing the development of urban sprawl, such as the distance to the CBD, the GRDP of Banda Aceh City, changes in land use, housing demand, and the availability of infrastructure facilities in the districts of Banda Aceh City, can be concluded that there is an influence of urban sprawl on the spatial structure and regional patterns in Banda Aceh City.…”
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Genome wide association studies in yam reveal the challenge of high heterozygosity by Paterne A. Agre, Kwabena Darkwa, Iseki Kohtaro, Ryo Matsumoto, Asrat Asfaw

“…Association analysis was performed using a multi-locus mixed linear model (MLM), incorporating kinship matrices derived from marker subsets grouped by PIC levels (≤ 0.1, 0.1–0.2, 0.2–0.4, and > 0.4), alongside population structure. …”
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Modeling and forecasting of TEC using subspace-based SSA-LRF-ANN model by J.R.K. Kumar Dabbakuti, Mallika Yarrakula, Dinesh Babu Vunnava, Gopi Krishna Popuri

“…Subspace-based signal processing methods are fundamentally pre-trained Artificial Neural Networks (ANN) that provide the basic structure for numerous computer vision applications and explore the most promising Earth Observation Applications (EOA). …”
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3D finite element models reveal regional fatty infiltration modulates tibialis anterior force generating capacity in FSHD. by Allison McCrady, Seth Friedman, Leo Wang, Dennis Shaw, Rabi Tawil, Jeffery Statland, Stephen Tapscott, Silvia Blemker

“…Additional imaging studies have identified regional fat infiltration patterns that may contribute to the non-linear relationship between fat volume and muscle strength due to the distribution of fat within the muscle structure. …”
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Cellular Automata-Based Parallel Random Number Generators Using FPGAs by David H. K. Hoe, Jonathan M. Comer, Juan C. Cerda, Chris D. Martinez, Mukul V. Shirvaikar

“…To improve the quality of the random numbers that are generated, the basic CA structure is enhanced in two ways. First, the addition of a superrule to each CA cell is considered. …”
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The Results of Morphometric Assessment of the Macular Zone in Congenital Cataract by L. A. Katargina, T. B. Kruglova, N. N. Arestova, O. B. Trifonova

“…Results: various features of the macular zone were revealed: changes in the macular contour, lamellar structure of the retina, thinning of the choroid, and elements of epiretinal fibrosis. …”
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Spatiotemporal patterns of abrupt vegetation changes and reversal trends in the Yellow River Basin: Climate and human drivers by Xiaohui He, Tingwei Fan, Mengjia Qiao

“…In recent decades, the structure and function of vegetation ecosystems in the Yellow River Basin have undergone significant alterations. …”
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Uncertainty Analysis and Risk Assessment for Variable Settlement Properties of Building Foundation Soils by Xudong Zhou, Tao Wang

“…The variability parameter exerts a greater influence on land subsidence processes than the correlation structure. The failure probabilities of variable stratum settlement for different cross-correlations of building foundation soils are different. …”
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GUIDELINES FOR THE EARLY DIAGNOSIS OF LUNG CANCER FOR PRIMARY CARE PHYSICIANS by article Editorial

“…In the past decades, lung cancer has steadily held a leading place in the structure of cancer morbidity and mortality in our country and in the majority of European countries. …”
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Professional identity of female PE teachers in basic education in China by Yanni Liu, Hui Wang, Sanming Fan

“…The professional identity of female PE teachers was characterized by a “non-linear development mode,” a “non-balanced development structure,” and a “high-level development orientation”, which are mainly divided into four types: “passionate,” “neutral,” “apathetic,” and “unbalanced.”…”
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AN EFFICIENT SPEECH GENERATIVE MODEL BASED ON DETERMINISTIC/STOCHASTIC SEPARATION OF SPECTRAL ENVELOPES by M. Taha, E. S. Azarov, D. S. Likhachov, A. A. Petrovsky

“…The main idea behind the approach originates from the fact that speech signal has a determined spectral structure that is statistically bound with deterministic/stochastic energy distribution in the spectrum. …”
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The Application of Interactive Effect Evaluation Model in the Teaching of College Mathematics Courses by Jungang Chen

“…Mathematics courses in higher education (advanced mathematics, linear algebra, etc.) are characterized by abstract concepts, many easily confused concepts, many nature theorems, and large amount of calculation of many difficulties. …”
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Fluvoxamine-based corrosion inhibitors for J55 steel in aggressive oil and gas well treatment fluids by E.B. Ituen, A.O. James, O. Akaranta

“…Theoretical calculations were performed using Material Studio Acceryls 7.0 to relate electronic properties of FLU with its structure.…”
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DP-YOLO: A Lightweight Real-Time Detection Algorithm for Rail Fastener Defects by Lihua Chen, Qi Sun, Ziyang Han, Fengwen Zhai

“…Third, the Neck network adopts a GhostC3 structure, which reduces redundancy through linear operations, further minimizing computational costs. …”
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An analysis of spatial distribution characteristics and driving factors of traditional villages in the Loess Plateau. by Xiaobin Bao, Yingna Yang, Jianqing Qi, Yanbing He

“…The interaction between factors is significant and mostly shows non-linear enhancement, for instance, the interactive explanatory power of population size and the density of cultural heritage sites is as high as 0.852.…”
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An internal pricing method for a local energy market with P2P energy trading by Mohammad Hasan Ghodusinejad, Hossein Yousefi, Behnam Mohammadi-ivatloo

“…In this regard, in the first step, the market structure consisting of three blocks of members was modeled: block A including prosumers with photovoltaic (PV) and energy storage, block B with prosumers only equipped with PV systems, and finally block C including energy consumers. …”
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Neural network for prediction solar radiation in Relizane region (Algeria) - Analysis study by Dahmani Abdennasser, Yamina Ammi, Salah Hanini

“…The best results were obtained with the structure 10-25-1 (10 inputs, 25 hidden, and 1 output neurons) presented an excellent agreement between the calculated and the experimental data during the test stage with a correlation coefficient of R = 0.9879, root means squared error of RMSE = 47.7192 (Wh/m2), mean absolute error MAE = 27.7397 (Wh/m2), and mean squared error MSE = 2.2771e+03(Wh/m2), considering a three-layer Feedforward neural network with Regularization Bayesienne (trainbr)  training algorithm, a hyperbolic tangent sigmoid and linear transfer function at the hidden and the output layer, respectively. …”
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