Study on the Alignment Between Talent Training Directions and Employment Market Demands in the Landscape Architecture Industry

Currently,talent training in Chinese universities for landscape architecture is mainly divided into three directions:“landscape planning and design,”“landscape construction management,”and“landscape plant planting and maintenance.”However,with the background of the slowing urbanization process and the widespread demand for composite talents in society,it remains to be verified whether the traditional three major talent training directions in landscape architecture align with the job demands in the current construction market.Based on a survey and analysis of over 300 industry practitioners,this study found a clear trend of merging the three major employment directions into“landscape design and construction”and“landscape plant planting and maintenance.”This presents new requirements and directions for the skill training of landscape architecture majors in universities and provides insights into the alignment between talent training and employment demands in other industries.

Research on design methodology for railway freight service combination plans to meet diverse demands

Purpose–Facing the diverse needs of large-scale customers,based on available railway service resources and service capabilities,this paper aims to research the design method of railway freight service portfolio,select optimal service solutions and provide customers with comprehensive and customized freight services.Design/methodology/approach–Based on the characteristics of railway freight services throughout the entire process,the service system is decomposed into independent units of service functions,and a railway freight service combination model is constructed with the goal of minimizing response time,service cost and service time.A model solving algorithm based on adaptive genetic algorithm is proposed.Findings–Using the computational model,an empirical analysis was conducted on the entire process freight service plan for starch sold from Xi’an to Chengdu as an example.The results showed that the proposed optimization model and algorithm can effectively guide the design of freight plans and provide technical support for real-time response to customers’diversified entire process freight service needs.Originality/value–With the continuous optimization and upgrading of railway freight source structure,customer demands are becoming increasingly diverse and personalized.Studying and designing a reasonable railway freight service plan throughout the entire process is of great significance for timely response to customer needs,improving service efficiency and reducing design costs.

A Scenario-Based Evaluation of COVID-19-Related Essential Clinical Resource Demands in China

The coronavirus disease 2019(COVID-19)pandemic is a global crisis,and medical systems in many countries are overwhelmed with supply shortages and increasing demands to treat patients due to the surge in cases and severe illnesses.This study aimed to assess COVID-19-related essential clinical resource demands in China,based on different scenarios involving COVID-19 spreads and interventions.We used a susceptible–exposed–infectious–hospitalized/isolated–removed(SEIHR)transmission dynamics model to estimate the number of COVID-19 infections and hospitalizations with corresponding essential healthcare resources needed.We found that,under strict non-pharmaceutical interventions(NPIs)or mass vaccination of the population,China would be able to contain community transmission and local outbreaks rapidly.However,under scenarios involving a low intensity of implemented NPIs and a small proportion of the population vaccinated,the use of a peacetime–wartime transition model would be needed for medical source stockpiles and preparations to ensure a normal functioning healthcare system.The implementation of COVID-19 vaccines and NPIs in different periods can influence the transmission of COVID-19 and subsequently affect the demand for clinical diagnosis and treatment.An increased proportion of asymptomatic infections in simulations will not reduce the demand for medical resources;however,attention must be paid to the increasing difficulty in containing COVID-19 transmission due to asymptomatic cases.This study provides evidence for emergency preparations and the adjustment of prevention and control strategies during the COVID-19 pandemic.It also provides guidance for essential healthcare investment and resource allocation.

Investigation of Direct Causes of Drug Relapse and Abstainers’ Demands in a Compulsive Detoxification Center in Wuhan City of China

Objective To identify the direct causes of drug relapse and abstainers’ demand, and to develop programs for the prevention of drug relapse. Methods Abstainers in a Compulsive Detoxification Center in Wuhan City, capital of Hubei Province were randomly selected. An investigation on the direct causes of drug relapse and abstainers’ demands was conducted with multiple-choice questionnaires and face to face interviews. Data were analyzed with SPSS 12.0. Results The direct causes leading to drug relapse included： temptation to use drug again by themselves or by their drug mates, seeking pleasure and ecstasy from drug use, relatively well off living, mental stress, irritation, demoralization, family conflicts, unemployment, feeling distrusted by the family, lack of care and love from the family, and discrimination by others. abstainers’ demands after detoxification and returning to the society included： care and support from the family, employment assistance, changing living environment, understanding by others, support from the society, and keeping far away from drugs. Conclusions Environmental factors are the direct causes of drug relapse, and negative irritation is its predisposing causes. Leaving former residence, more care and help given by both the family and the society and raising their overall quality of life are the demands of abstainers.

Finite element modeling assumptions impact on seismic response demands of MRF-buildings

Recent seismic events have raised concerns over the safety and vulnerability of reinforced concrete moment resisting frame ＂RC-MRF＂ buildings. The seismic response of such buildings is greatly dependent on the computational tools used and the inherent assumptions in the modelling process. Thus, it is essential to investigate the sensitivity of the response demands to the corresponding modelling assumption. Many parameters and assumptions are justified to generate effective structural finite element（FE） models of buildings to simulate lateral behaviour and evaluate seismic design demands. As such, the present study focuses on the development of reliable FE models with various levels of refinement. The effects of the FE modelling assumptions on the seismic response demands on the design of buildings are investigated. the predictive ability of a FE model is tied to the accuracy of numerical analysis; a numerical analysis is performed for a series of symmetric buildings in active seismic zones. The results of the seismic response demands are presented in a comparative format to confirm drift and strength limits requirements. A proposed model is formulated based on a simplified modeling approach, where the most refined model is used to calibrate the simplified model.

Probabilistic estimate of rock mass static and dynamic demands for underground excavation stabilisation

Excavation damage under high in situ stress depends largely upon the potential block size associated with any violent ejection.The size and shape of the dynamic instability are largely controlled by the location,orientation and extent of the pre-existing geological discontinuities.A new methodology is presented in which the rock mass demand can be expressed in terms of the mass in tonnes of unstable rock that is ejected per unit area of the excavation surface where failure occurs.A probabilistic approach has been implemented to estimate the potential rock mass instabilities and their associated static and dynamic demands.The new methodology considers that the strain energy released by the rock mass during violent stress-driven failure is largely converted into kinetic energy of ejection for blocks.The estimated dynamic demand has been favourably compared with observations of rock mass damage in a number of underground excavations.

Modeling water resources under competing demands for sustainable development: A case study of Kaligandaki Gorge Hydropower Project in Nepal

The challenges posed by climate change require that the quantity and quality of water resources in Nepal be managed with sustainable development practices. The communities around the Kaligandaki Gorge Hydropower Project in the Myagdi District of Nepal depend on river flow for most of their rural and agricultural needs. Without a sustainable development plan, the growing population of the region, confined in an area with declining water resources, will face serious challenges to economic growth. Meteorological data show increasing annual average rainfall at a slight rate of about 0.284 mm/year, with erratic annual percentage change in rainfall in the area. The mean and minimum temperatures show decreasing trends at the rates of 0.05-C and 0.14-C per year, respectively. An assessment of the impacts on water availability for domestic and irrigation usage in the face of competing demands caused by the hydropower development project in the Kaligandaki Gorge was undertaken. The water demand and supply modeling were conducted using the water evaluation and planning (WEAP) model, based on discharge data from the Kaligandaki River, which were obtained from the Department of Hydrology and Meteorology, Nepal. The available data from 2001 to 2003 were used to estimate the model parameters while the stability of these parameters was tested with a validation period from 2004 to 2007. The performance of the model was assessed through statistical measures of calibration with the root mean square error and coefficient of determination, whose values were 0.046% and 0.79, respectively. Two scenarios were created in addition to the base case scenario: the discharge decrement scenario and new irrigation technology scenario. Analysis showed that a prioritization of demands will be necessary in the area in the near future for the purpose of sustainability of water resources, due to climate change impacts.

The demands of the extra-time period of soccer:A systematic review

Background:Soccer match-play is typically contested over 90 min;however,in some cup and tournament scenarios,when matches are tied,they proceed to an additional 30 min,which is termed "extra-time^(ET).This systematic review sought to appraise the literature available on 120-min of soccer-specific exercise,with a view to identifying practical recommendations and future research opportunities.Methods:The review was conducted according to the PRISMA guidelines.Independent researchers performed a systematic search of PubMed,CINAHL,and PsycINFO in May 2019,with the following keywords entered in various combinations:"soccer","football","extra-time","extra time","extratime","120 minutes","120 min","additional 30 minutes",and "additional 30 min".Results:The search yielded an initial 73 articles.Following the screening process,11 articles were accepted for analyses.Articles were subsequently organized into the following 5 categories:movement demands of ET,performance responses to ET,physiological and neuromuscular response during ET,nutritional interventions,and recovery and ET.The results highlighted that during competitive match-play,players cover5%-12% less distance relative to match duration(i.e.,meters per minute) during ET compared to the preceding 90 min.Reductions in technical performance(i.e.,shot speed,number of passes and dribbles) were also observed during ET.Additionally,carbohydrate provision may attenuate and improve dribbling performance during ET.Moreover,objective and subjective measures of recovery may be further compromised following ET when compared to 90 min.Conclusion:Additional investigations are warranted to further substantiate these findings and identify interventions to improve performance during ET.

Combined heuristics for determining order quantity under time-varying demands

The time-varying demands for a certain period are often assumed to be less than the basic economic order quantity （EOQ） so that total replenishment quantity rather than economic order quantity is normally considered by most of the heuristics. This acticle focuses on a combined heuristics method for determining order quantity under generalized time-varying demands. The independent policy （IP）, abnormal independent policy （AIP） and dependent policies are studied and compared. Using the concepts of normal/abnormal periods and the properties of dependent policies, a dependent policy-based heuristics （DPH） is proposed for solving the order quantity problems with a kind of time-varying demands pattern under which the first period is normal. By merging the Silver-Meal （S-M） heuristics and the dependent policy-based heuristics （DPH）, a combined heuristics （DPH/S-M） is developed for solving order quantity problems with generalized time-varying demands. The experimentation shows that （1） for the problem with one normal period, no matter which position the normal period stands, the DPH/S-M could not guarantee better than the S-M heuristics, however it is superior to the S-M heuristics in the case that the demands in the abnormal periods are in descending order, and （2） The DPH/S-M is superior to the S-M heuristics for problems with more than one normal period, and the more the number of normal periods, the greater the improvements.

Production Line Capacity Planning Concerning Uncertain Demands for a Class of Manufacturing Systems with Multiple Products

In this paper, we study a class of manufacturing systems which consist of multiple plants and each of the plants has capability of producing multiple distinct products. The production lines of a certain plant may switch between producing different kinds of products in a time-sharing mode. We optimize the capacity configuration of such a system s production lines with the objective to maximize the overall profit in the capacity planning horizon. Uncertain demand is incorporated in the model to achieve a robust configuration solution. The optimization problem is formulated as a nonlinear polynomial stochastic programming problem, which is difficult to be efficiently solved due to demand uncertainties and large search space. We show the NP-hardness of the problem first, and then apply ordinal optimization(OO) method to search for good enough designs with high probability. At lower level, an mixed integer programming(MIP) solving tool is employed to evaluate the performance of a design under given demand profile.

Healthcare Demands of Old Aged Women

Population ageing is an inevitable and irreversible demographic reality associated with improvements in health and medical care.While increasing longevity is a matter of celebration;it is linked with multiple morbidities and disabilities.The huge number of suggestions to cope with feasible growth in demand for long-term care in ageing societies can be organized under four headings:(1)improving system enactment;(2)supporting informal caregivers;(3)restructuring of service delivery;and(4)shifting of demographic parameters.Many older women rate their health as poor and experience relatively low mental health status.More than half of all older women indicate signs of mental distress according to measures of subjective wellbeing.They also carry higher burden of both acute and chronic morbidity than their male counterparts due to difference in social status,economic dependency,and cultural barriers.

Demands of New Professional Farmers for Agricultural Leading Industry in Anhui Province

In the context of growing problems of part-time farming,farmers' aging and hollow rural areas,and increasing restrictive factors of new professional farmers,based on current situations of agricultural resources in Anhui Province,this paper studied feasibility of increasing new professional farmers from the perspectives of urbanization level,labor employment,population development trend,agricultural industrial development and talent demands,current situations of farmers' family management,and agricultural socialized service development trend.Based on decisions,planning,and related data issued by Anhui Provincial Party Committee and Provincial Government,it analyzed and predicted demands of new professional farmers in Anhui Province by industries and types,in the hope of providing references for relevant researches.

Landscape Design Talents' Knowledge and Ability Structure Based on Industry Demands

Knowledge transference and ability training are 2 standing points and starting points for the industry demands-oriented talent cultivation of modern higher education.In terms of landscape design knowledge,the landscape design industry requires 3 major knowledge modules,namely basic knowledge and theories,professional knowledge,and relevant knowledge;in terms of ability,it also requires 3 major ability modules,namely computer-aided design(CAD),design performance ability and ability of making conception,and each of them includes many specific knowledge points and ability points.It is important for such teaching processes as real question and proposition teaching,studio teaching and project-led teaching to propose a dual-track talent cultivation scheme focusing on both theoretical knowledge and practical ability according to the needs of landscape design industry.Moreover,it is imperative to arrange relevant courses and curriculum group that reflect knowledge and ability demands,as well as practicing courses or comprehensive design projects based on ability structure.

Demands are on the Rise to Exhibit at ITM 2009

The applications for ITM 2009 International Textile Machinery Exhibition are increasing at a high rate resulting in the sale of a large portion of the fairground.ITM 2009 International Textile Machinery Exhibition which is to take place between June 6-10, 2009 at Beylikduzu Tuyap Fair Convention

Ductility demands on buckling-restrained braced frames under earthquake loading

Accurate estimates of ductility demands on buckling-restrained braced frames(BRBFs)are crucial to performance-based design of BRBFs.An analytical study on the seismic behavior of BRBFs has been conducted at the ATLSS Center,Lehigh University to prepare for an upcoming experimental program.The analysis program DRAIN-2DX was used to model a one-bay,four-story prototype BRBF including material and geometric nonlinearities.The buckling- restrained brace(BRB)model incorporates both isotropic and kinematic hardening.Nonlinear static pushover and time- history analyses were performed on the prototype BRBF.Performance objectives for the BRBs were defined and used to evaluate the time-history analysis results.Particular emphasis was placed on global ductility demands and ductility demands on the BRBs.These demands were compared with anticipated ductility capacities.The analysis results,along with results from similar previous studies,are used to evaluate the BRBF design provisions that have been recommended for codification in the United States.The results show that BRB maximum ductility demands can be as high as 20 to 25.These demands significantly exceed those anticipated by the BRBF recommended provisions.Results from the static pushover and time- history analyses are used to demonstrate why the ductility demands exceed those anticipated by the recommended provisions. The BRB qualification testing protocol contained in the BRBF recommended provisions is shown to be inadequate because it requires only a maximum ductility demand of at most 7.5.Modifications to the testing protocol are recommended.

Time-variant fragility analysis of the bridge system considering time-varying dependence among typical component seismic demands

This paper presents a copula technique to develop time-variant seismic fragility curves for corroded bridges at the system level and considers the realistic time-varying dependence among component seismic demands. Based on material deterioration mechanisms and incremental dynamic analysis, the time-evolving seismic demands of components were obtained in the form of marginal probability distributions. The time-varying dependences among bridge components were then captured with the best fitting copula function, which was selected from the commonly used copula classes by the empirical distribution based analysis method. The system time-variant fragility curves at different damage states were developed and the effects of time-varying dependences among components on the bridge system fragility were investigated. The results indicate the time-varying dependence among components significantly affects the time-variant fragility of the bridge system. The copula technique captures the nonlinear dependence among component seismic demands accurately and easily by separating the marginal distributions and the dependence among them.

An improved modal pushover analysis procedure for estimating seismic demands of structures

The pushover analysis （POA） procedure is difficult to apply to high-rise buildings, as it cannot account for the contributions of higher modes. To overcome this limitation, a modal pushover analysis （MPA） procedure was proposed by Chopra et al. （2001）. However, invariable lateral force distributions are still adopted in the MPA. In this paper, an improved MPA procedure is presented to estimate the seismic demands of structures, considering the redistribution of inertia forces after the structure yields. This improved procedure is verified with numerical examples of 5-, 9- and 22-story buildings. It is concluded that the improved MPA procedure is more accurate than either the POA procedure or MPA procedure. In addition, the proposed procedure avoids a large computational effort by adopting a two-phase lateral force distribution..

A super-network equilibrium optimization method for operation architecture with fuzzy demands

From the view of information flow, a super-network equilibrium optimization model is proposed to compute the solution of the operation architecture which is made up of a perceptive level, a command level and a firepower level. Firstly, the optimized conditions of the perceptive level, command level and firepower level are analyzed respectively based on the demand of information relation,and then the information supply-and-demand equilibrium model of the operation architecture super-network is established. Secondly,a variational inequality transformation(VIT) model for equilibrium optimization of the operation architecture is given. Thirdly, the contraction projection algorithm for solving the operation architecture super-network equilibrium optimization model with fuzzy demands is designed. Finally, numerical examples are given to prove the validity and rationality of the proposed method, and the influence of fuzzy demands on the super-network equilibrium solution of operation architecture is discussed.

Earthquake Risk Assessment Approach Using Multiple Spatial Parameters for Shelter Demands

The earthquake is considered one of the most devastating disasters in any area of the world due to its potentially destructive force.Based on the various earthquake-related parameters,the risk assessment is enabled in advance to prevent future earthquake disasters.In this paper,for providing the shelter space demands to reduce the damage level and prevention costs,an earthquake risk assessment approach is proposed for deriving the risk index based on multiple spatial parameters in the gridded map.The proposed assessment approach is comprised of pre-processing,methodologymodel,and data visualization.The risk index model derives the earthquake risk index by multiple spatial parameters including indexes of earthquake,danger,shelter,and building for blocks in the quantitative gridded map.The parameters are provided based onmathematicalmodels and combinedwith the risk index that presents the earthquake risk assessment result for each block.Therefore,the gridding approach is proposed to provide the elements of the risk assessment area that are used in the spatial parameters.The gridded map is developed for the selected area to visualize risk index parameters associated with each risk zone.Based on the derived result of the proposed earthquake risk indexmodel,emergency shelter requirements are provided according to the risk index for each location,which supports safety measures in advance to prevent future earthquake disasters.

Demands and technical developments of clinical flow cytometry with emphasis in quantitative,spectral,and imaging capabilities

As the gold-standard method for single-cell analysis,flow cytometry enables high-throughput and multiple-parameter characterization of individual biological cells.This review highlights the demands for clinical flow cytometry in laboratory hematology(e.g.,diagnoses of minimal residual disease and various types of leukemia),summarizes state-of-the-art clinical flow cytometers(e.g.,FACSLyricTMby Becton Dickinson,DxFLEX by Beckman Coulter),then considers innovative technical improvements in flow cytometry(including quantitative,spectral,and imaging approaches)to address the limitations of clinical flow cytometry in hematology diagnosis.Finally,driven by these clinical demands,future developments in clinical flow cytometry are suggested.