Experimental Study and Fragility Analysis of Effective-Length Factors in Column Buckling

The design of columns relies heavily on the basis of Leonhard Euler’s Theory of Elastic Buckling.However,to increase the accuracy in determining the maximum critical load a column can withstand before buckling,a constant was introduced.This dimensionless coefficient is K,also known as the effective-length factor.This constant is often found in building design codes and varies in value depending on the type of column support that is applied.This paper presents experimental and analytical studies on the determination of the effective-length factor in the buckling stability of columns with partially-fixed support conditions.To this end,the accurate K value of the columns tested by the Instron Testing Machine(ITM)at California State University,Northridge’s(CSUN’s)Mechanics Laboratory is determined.The ITM is used in studying the buckling of columns where the supports are neither pinned nor fixed,and the material cross-section rather rests upon the machine while loading is applied axially.Several column specimens were tested and the experimental data were analyzed in order to estimation of the accurate effective-length factor.The calculations from the tested results as well as the conducted probabilistic analysis shed light on how a fragility curve may aid in predicting the effective-length value of future tests.

Predictive active control of building structures using LQR and artificial intelligence

This study presents a neural network-based model for predicting linear quadratic regulator(LQR)weighting matrices for achieving a target response reduction.Based on the expected weighting matrices,the LQR algorithm is used to determine the various responses of the structure.The responses are determined by numerically analyzing the governing equation of motion using the state-space approach.For training a neural network,four input parameters are considered:the time history of the ground motion,the percentage reduction in lateral displacement,lateral velocity,and lateral acceleration,Output parameters are LQR weighting matrices.To study the effectiveness of an LQR-based neural network(LQRNN),the actual percentage reduction in the responses obtained from using LQRNN is compared with the target percentage reductions.Furthermore,to investigate the efficacy of an active control system using LQRNN,the controlled responses of a system are compared to the corresponding uncontrolled responses.The trained neural network effectively predicts weighting parameters that can provide a percentage reduction in displacement,velocity,and acceleration close to the target percentage reduction.Based on the simulation study,it can be concluded that significant response reductions are observed in the active-controlled system using LQRNN.Moreover,the LQRNN algorithm can replace conventional LQR control with the use of an active control system.

Factors Analysis of Affecting Loading and Reinforcing Scheme of Large Goods in Railway

Large goods transported in railway are kinds of special goods and they are very important in national construction. In order to transport safely, loading and reinforcing schemes must be made first. How to design a reasonable scheme will be affected by many factors. This paper presents the characteristic of the large goods, summarizes the process of designing a loading and reinforcing scheme of large good, then probes the factors of affecting the loading and reinforcing scheme and gives a detail analysis. It’s considered that those out-of-gauge and overweight degree of goods, center-of- gravity height of a loaded wagon, position of center-of-gravity of goods, type of wagon for using, reinforcement material and reinforcement method, transport expense and transport organization could affect a scheme in the aspects of safety, economy, rapidity and convenience. This conclusion will instruct and help to make a good scheme.

ISOTHERMAL EFFECTIVENESS FACTORS FOR NONUNIFORM ACTIVE CATALYST

Isothermal effectiveness factors for slab,cylinder and sphere shaped catalysts with uniform or nonuni-form intrinsic activity profiles have been investigated.In the case of zero-,first- and second-order kinetics,the effectiveness factors of pellets with increasing activity towards the pellet surface are larger than that ofuniform active catalyst,and they are proportional to the square root of the activity at the pellet surfacewith significant diffusion effect.The effectiveness factor-Thiele modulus curves which are valid for bothuniform and nonuniform catalysts have been obtained with the Thiele modulus modified by equivalent thick-hess of effective layer of the catalyst.Thus,the effectiveness factor for nonuniform active catalyst could bepredicted with a maximun deviation of 5% in the case of significant or insignificant diffusion effect but 10%in general.

Effects Of Subjective Factors On Second Language Learnig(L2L)

In order to promote the activeness and initiative of learners and allow them to take theirlearning advantages,a teacher should be fully aware of the psychological process and models ofL2L．For no matter how well learners can command a language,their subjective incentives play adecisive role,that is the case particularly for non—Eniglish majors,who are always exposed tocrowded,serious and teacher—centred learning contexts.

Simplified Penman-Monteith Equation Determined by Temperature-Based Global Radiation Data and Its Multilocal Validation under Subhumid Climatic Conditions in Hungary

The extent to which specific climatic factors influence evapotranspiration under subhumid conditions in Hungary was investigated. The reference evapotranspiration, calculated with the internationally accepted Penman-Monteith equation proposed by FAO, was considered. The results show that the influence of radiation, which provides energy for evaporation, is the strongest factor and that the influence of global radiation alone is very strong. Taking into account that radiation was measured under rather limited conditions in space and time, global radiation was calculated using the Hargreaves method based on temperature. Accordingly, we have defined a formula based on temperature-based global radiation and verified the data obtained with the Penman-Monteith formula calculated for 14 meteorological stations. The verification gave good results, therefore the method can be used for practical purposes in the subhumid conditions of Hungary based on the data of the nearest meteorological station.

Role of grain boundary networks in vortex motion in superconducting films

We study the vortex dynamics of the polycrystalline superconductors in the presence of both random point defects and the generated grain boundary(GB) networks with Voronoi diagram. The synergistic effect of adjacent GBs on restricting the vortex motion in intragranular region is proposed and the corresponding intensity factor of the synergistic effect which characterizes the strength of the synergistic restriction of adjacent grain boundaries is also determined in the present work.The interconnected GBs offer easy-flow channels for vortices in addition to pinning effects on the vortices. The combined channels and the vortex flow patterns in the superconducting film are analyzed in detail from molecular dynamics simulations. Furthermore, it is discovered that the critical current increases with the decrease of magnetic field intensity,temperature, and the average grain size. The large number of vortices results in the enhanced repulsive interaction forcing the vortices to move out from the GBs. The thermal depinning from GBs leads to the lower Lorentz force range. The increase of the grain size causes the number of GBs to decrease. In summary, these effects leads the critical current to become a decreasing function of magnetic field, temperature, and grain size.

The Refractive Effect of k-Factor on Radio Propagation over Lokoja, Nigeria

The effective earth radius factor(k-factor)has a refractive propagation effect on transmitted radio signals thus making its study necessary for the proper planning of terrestrial radio links and power budget.This study was carried out over the city of Lokoja,Nigeria,using ten years(2011 to 2020)atmospheric data of temperature,pressure and humidity both at the surface(12 m)and at 100 m AGL.The data were retrieved from European Centre for Medium-Range Weather Forecasts(ECMWF)ERA5.The k-factor yearly variation follows the same trend with minimum and maximum values obtained during dry and wet season months respectively.In addition,the highest mean value of 1.00042 was recorded in the month of August while the lowest value of 1.00040 was recorded in the month of January with an overall mean value of 1.0003.This value is less than the recommended standard of 1.33 by ITU-R.The propagation effect corresponding to k<1.33 is sub-refractive.The implication of this on radio wave propagation,especially terrestrial communications is that transmitted wireless signal is prone to losses.This can be mitigated through an effective power budget:Choice of transmitting antenna’s height and gain,so as to improve the Quality of Service over the study area.

中国东北地区低温冷害研究进展与展望(英文)

Focused on the major agro-meteorological disaster in northeast China area-low temperature chilling injury,the research progresses of low temperature chilling injury in northeast China were reviewed systematically.The basic concepts which included the connotation and extension of chilling damage,the circulation characteristics and effect factors which formed summer low temperature in northeast China,the prediction,forecast and defense of low temperature chilling injury were summarized and done the outlook.

Factors affecting the distribution of microplastics in soils of China

Microplastics(MPs)are found worldwide in high abundance,posing a potential threat to ecosystems.Despite the ubiquity of MPs in the environment,very little is known about the regional distribution of MPs and underlying factors affecting this distribution in the field,which likely include human activity,but also features of the environment itself.Here,out of a total of 1157 datapoints investigated in 53 Chinese studies,9.68%datapoints were removed as outliers in the heterogeneity analysis.This review revealed that the abundance of MPs was highly heterogeneous.In addition,microplastic(MP)distribution maps based on China demonstrated that the highest abundance of MPs tended to occur near large rivers and central land affected by the intersection of two monsoons.The model-fitting and previous studies showed that MP abundance in China was correlated with longitude,agricultural mulching film usage per capita,temperature,and precipitation.However,due to the heterogeneity of MPs and the low matching degree between the current environmental data and the sampling points,this pattern was not as evident as reported in any single study.Factors affecting the distribution of MPs can not be captured by linear relationships alone,and systematic selection of suitable environmental factors and further model optimization are needed to explore the cause of MP pollution in soil.Overall,this review revealed an uneven distribution of MPs and serves as a reference for model prediction to assess and control plastic pollution in natural soil environments.

Adaptive fault-tolerant control based on boundary estimation for space robot under joint actuator faults and uncertain parameters

Since the joint actuator of the space robot executes the control instructions frequently in the harsh space environment,it is prone to the partial loss of control effectiveness(PLCE)fault.An adaptive fault-tolerant control algorithm is designed for a space robot system with the uncertain parameters and the PLCE actuator faults.The mathematical model of the system is established based on the Lagrange method,and the PLCE actuator fault is described as an effectiveness factor.The lower bound of the effectiveness factors and the upper bound of the uncertain parameters are estimated by an adaptive strategy,and the estimated value is fed back to the control algorithm.Compared with the traditional fault-tolerant algorithms,the proposed algorithm does not need to predetermine the lower bound of the effectiveness factor,hence it is more in line with the actual engineering application.It is proved that the algorithm can guarantee the stability of the closed-loop system based on the Lyapunov function method.The numerical simulation results show that the proposed algorithm can not only compensate for the uncertain parameters,but also can tolerate the PLCE actuator faults effectively,which verifies the effectiveness and superiority of the control scheme.

Swell Source Analysis of East China Sea Under the Influence of Typical Typhoon Scenarios

The characteristics of swells within the East China Sea have been reported by Tao et al.(2017),while the question of where the swells come from remains unanswered.By using the wave model WAVEWATCH III and the swell tracking method proposed by Hanson(2001),the spatial sources of the swells are investigated during four typical typhoon scenarios,which usually affect the wave environment in the East China Sea,including the Recurving type,the Northward type,the Westward type(striking the East China Sea)and the Westward type(over the South China Sea).The numerical results show that parts of the swells are from the North West Pacific with a long-distance travelling.The moving paths of the swells are affected by the typhoon tracks,which result in various fetches.The Westward type(over the South China Sea)makes one peak in the evolution process.The landing process of the Westward type(striking the East China Sea)could result in swells with low energy.The swell energy depends on swell propagation distance,existence time and wind intensity of generation fetch.The consistent fetch and forceful wind intensity make swell carry more energy.

Improvement of lenvatinib-induced nephrotic syndrome after adaptation to sorafenib in thyroid cancer:A case report

BACKGROUND Target therapy is licensed by United States Food and Drug Administration on certain cancers.Both sorafenib and lenvatinib are tyrosine kinase inhibitor and indicated on radioactive iodine(RAI)-refractory differentiated thyroid cancer(DTC).Lenvatinib is more effective in cancers'control than sorafenib,but causes more nephrotoxicity than sorafenib does.This case is the second published case about the serial adaptions from lenvatinib to sorafenib for improving the proteinuria and,meanwhile,achieving the therapeutic goal.CASE SUMMARY A 56-year-old man suffered from bilateral edematous lower extremities after 1-mo prescription of lenvatinib of 20 mg/d for RAI-refractory DTC.Aside from this symptom,he also developed hypertension.His laboratory showed grade-3 proteinuria(estimated 24-h urine protein:9993 mg),hypoalbuminemia and hypercholesterolemia.Anti-vascular endothelial growth factor(VEGF)therapyinduced nephrotic syndrome was impressed.After reduced dosage of lenvatinib of 10 mg/d and related symptomatic drugs,limited improvement was observed in both adverse effects and caner control.Under this condition,we substituted sorafenib of 400 mg/d for lenvatinib of 10 mg/d.After a 5-mo prescription,not only hypertension and peripheral edema were greatly improved,but also proteinuria was improved from grade three to grade one(estimated 24-h urine protein:962 mg).At the same time the cancer control was achieved,judged from computed tomography and laboratory evidence[thyroglobulin(Tg)before prescription of sorafenib:354.7 ng/m L;Tg after prescription of sorafenib:108.9 ng/m L].CONCLUSION Adaption from lenvatinib to sorafenib is a feasible method to improve the antiVEGF therapy-induced nephrotic syndrome and achieve the therapeutic goal at the same time.

Synergistic effects of brain-derived neurotrophic factor and retinoic acid on inducing the differentiation of bone marrow stromal cells into neuron-like cells in adult rats in vitro

BACKGROUND: Under induction of retinoic acid (RA), bone marrow stromal cells (BMSCs) can differentiate into nerve cells or neuron-like cells, which do not survive for a long time, so those are restricted to an application. Other neurotrophic factors can also differentiate into neuronal cells through inducing BMSCs; especially, brain-derived neurotrophic factor (BDNF) can delay natural death of neurons and play a key role in survival and growth of neurons. The combination of them is beneficial for differentiation of BMSCs. OBJECTIVE: To investigate the effects of BDNF combining with RA on inducing differentiation of BMSCs to nerve cells of adult rats and compare the results between common medium group and single BDNF group. DESIGN: Randomized controlled animal study.SETTING: Department of Neurology, Affiliated Hospital of Xuzhou Medical College. MATERIALS: The experiment was carried out in the Clinical Neurological Laboratory of Xuzhou Medical College from September 2003 to April 2005. A total of 24 SD rats, of either gender, 2 months old, weighing 130-150 g, were provided by Experimental Animal Center of Xuzhou Medical College [certification: SYXK (su) 2002-0038]. Materials and reagents: low-glucose DMEM medium, bovine serum, BDNF, RA, trypsin, separating medium of lymphocyte, monoclonal antibody of mouse-anti-nestin, neuro-specific enolase, glial fibrillary acidic protein (GFAP) antibody, SABC kit, and diaminobenzidine (DAB) color agent. All these mentioned above were mainly provided by SIGMA Company, GIBCO Company and Boshide Company. METHODS: Bone marrow of SD rats was selected for density gradient centrifugation. BMSCs were undertaken primary culture and subculture; and then, those cells were induced respectively in various mediums in total of 3 groups, including control group (primary culture), BDNF group (20 μg/L BDNF) and BDNF+RA group (20 μg/L BDNF plus 20 μg/L RA). On the 3rd and the 7th days after induction, BMSCs were stained immunocytochemically with nestin (sign of nerve stem cells), neuron-specific enolase (NSE, sign of diagnosing neurons) and GFAP (diagnosing astrocyte), and evaluated cellular property. MAIN OUTCOME MEASURES: Induction and differentiation in vitro of BMSCs in 3 groups. RESULTS: ① Induction and differentiation of BMSCs: Seven days after induction, cells having 2 or more apophyses were observed. Soma shaped like angle or erose form, which were similar to neurons and glial cells having strong refraction. ② Results of immunocytochemical detection: Three days after induction, rate of positive cells in BDNF+RA group was higher than that in BDNF group and control group [(86.15±4.58)%, (65.43±4.23)%, (4.18±1.09)%, P < 0.01]. Seven days after induction, rate of positive cells was lower in BDNF group and BDNF+RA group than that in both groups at 3 days after induction [(31.12±3.18)%, (29.35±2.69)%, P < 0.01]; however, amounts of positive cells of NSE and GFAP were higher than those at 3 days after induction (P < 0.01); meanwhile, the amount in BDNF+RA group was remarkably higher than that in BDNF group (P < 0.01). CONCLUSION: Combination of BDNF and RA can cooperate differentiation of BMSCs into neurons and astrocyte, and the effect is superior to single usage of BDNF.

Effective Budgetary Control System:A Regression Model for Indian Listed Companies

Budgetary control system is a sin quo non for every business irrespective of whether it is small,medium or large.It is used for forecasting,fixing the responsibility of the departments,and the effective utilization of resources.It in turn leads to increase in the productivity,profitability and return on investment.Budgetary control system helps the senior managers to ensure that spending limits are adequate.Budgetary control system becomes one of the most vital and critical area of business management.Presently,much attention has been given to improving of budgetary control and planning and their interrelationship in developing countries including India.Two-way analysis is made in this paper:One is developing predictor model for an effective budgetary control system for listed companies in India and the other is the analysis on the quality reporting system for financial statements especially budgetary control system.The method of research is empirical which tests the feasibility of solution using empirical evidences based on the statistical applications.The result of the current study shows that effective budgetary control factors are prominent in determining the budgetary control system in Indian listed companies and have significant correlation between dependent and independent variables.The study suggested initiating steps for using budget as a tool for optimum use of available resources,for avoiding conflicts among departments while allocation of resources and for increasing the inspirational quality of the budget for budgetary control.

Effect of Elastic Energy due to Atomic Size Factor on Ordering and Decomposition Behaviour of Binary Solid Solutions

A theory recently developed by the present authors is applied to the study of the effect of elastic energy due to atomic size factor on the transformation behaviour of binary solid solutions. lt is found that elastic interaction energy (EIE), which is a part of the total elastic energy plays a key role in both ordering elastic interaction ordering (EIO) and spinodal decomposition. The present study gives a reasonable explanation to the historical dilemmas, "elastic energy paradox" and "atomic size factor paradox . By solving these confusing problems, the coexistence of ordering (EIO) and decomposition, which has been regarded as impossible by conventional theories. can be well understood. The mechanism is as follows: lowering of elastic energy demands EIO, and such an ordering provides a driving force for spinodal decomposition. Therefore, in alloys with large atomic size factor, spinodal decomposition is preceded and induced by ordering. Ordering and spinodal decomposition are thus closely related processes to each

Effect of calcitonin gene-related peptide and nerve growth factor on spatial learning and memory abilities of rats following focal cerebral ischemia/reperfusion

BACKGROUND: Calcitonin gene-related peptide (CGRP) and nerve growth actor (NGF) cam improve spatial learning and memory abilities of rats with cerebral ischemia/reperfusion; however, the effect of combination of them on relieving learning and memory injury following cerebral ischemia/reperfusion should be further studied. OBJECTIVE: To study the effects of exogenous CGRP and NGF on learning and memory abilities of rats with focal cerebral ischemia/reperfusion. DESIGN: Randomized controlled animal study. SETTING: Department of Neurosurgery, the Second Hospital of Xiamen; Department of Neurosurgery, the Second Affiliated Hospital of China Medical University; Department of Neurobiology, Basic Medical College of China Medical University. MATERIALS: A total of 30 healthy male SD rats, aged 8 weeks, of clean grade, weighing 250-300 g, were provided by Experimental Animal Department of China Medical University. All rats were randomly divided into sham-operation group, ischemia/reperfusion group and treatment group with 10 in each group. The main reagents were detailed as the follows: 100 g/L chloral hydrate, 0.5 mL CGRP (2 mg/L, Sigma Company, USA), and NGF (1× 106 U/L, 0.5 mL, Siweite Company, Dalian). METHODS: The experiment was carried out in the Department of Neurobiology, Basic Medical College of China Medical University from February to July 2005. Rat models of middle cerebral artery occlusion were established by method of occlusion, 2 hours after that rats were anesthetized and the thread was slightly drawn out for 10 mm under direct staring to perform reperfusion. Rats in the ischemia/reperfusion group received intraperitoneal injection of 1 mL saline via the abdomen at two hours later, while rats in the treatment group at 2 hours later received intraperitoneal injection of 2 mg/L CGRP (0.5 mL) and 1×106 U/L NGF (0.5 mL) once a day for 10 successive days. First administration was accomplished within 15 minutes after ischemia/reperfusion. Rats in the sham-operation group were separated of the vessels without occlusion or administration. The neural function was evaluated with Zea Longa 5-grade scale. Animals with the score of one, two and three points received Morris water-maze test to measure searching time on platform (omitting platform-escaping latency). Meanwhile, leaning and memory abilities of animals were reflected through testing times of passing through platform per minute. MAIN OUTCOME MEASURES: Experimental results of omitting platform-escaping latency and spatial probe. RESULTS: Three and two rats in the ischemia/reperfusion group and treatment group respectively were not in accordance with the criteria in the process, and the rest were involved in the final analysis. ① Comparisons of platform-escaping latency during Morris water-maze test in all the three groups: Ten days after modeling, the platform-escaping latency in the ischemia/reperfusion group was obviously longer than that in sham-operation group (P < 0.01), and was significantly shorter than that in the treatment group (P < 0.01). ② Comparisons of times of passing through platform in all the three groups: Times of passing through platform were remarkably less in the ischemia/reperfusion group than those in the sham-operation group [(1.79±0.39), (4.30±0.73) times/minute, P < 0.01], and those were markedly more in the treatment group than the ischemia/reperfusion group [(3.16±1.03), (1.79±0.39) times/minute, P < 0.01]. CONCLUSION: CGRP and NGF are capable of ameliorating the abilities of spatial learning and memory in MCAO rats, which indicates that CGRP and NGF can protect ischemic neurons.

The effect of insulin-like growth factor 1 on the fusion of cranial suture

Objective To evaluate the effect of insulin-like growth factor 1 for the bone induction and the regulation for the fusion of the sagittal cranial sutures. Methods The cells, derived from cranial sutures in the newborn SD rats and the sagittal suture from the mice, were cultured with a serum-free medium and treated with and without insulin-like growth factor 1. The osteoblast phetotypes (osteocalcin, alkaline, osteoponcin and type-1 collagen) were measured with the RT -PCR and ELISA, and the explanted sagittal sutures were then evaluated under light microscopy. Results The cells, treated with the insulin-like growth factor 1, significantly produced more osteocalcin, alkaline, osteoponcin and type-1 collagen than those without insulin-like growth factor 1. The fusion of the sagittal suture explants will delay till to 30 days when it was not treated with IGF1. However, in the group with IGF1 the fusion was observed to start in 8 days, and a small amount of the sagittal suture fusion was found at the 20th