Discrete Choice Models and Artificial Intelligence Techniques for Predicting the Determinants of Transport Mode Choice--A Systematic Review

Forecasting travel demand requires a grasp of individual decision-making behavior.However,transport mode choice(TMC)is determined by personal and contextual factors that vary from person to person.Numerous characteristics have a substantial impact on travel behavior(TB),which makes it important to take into account while studying transport options.Traditional statistical techniques frequently presume linear correlations,but real-world data rarely follows these presumptions,which may make it harder to grasp the complex interactions.Thorough systematic review was conducted to examine how machine learning(ML)approaches might successfully capture nonlinear correlations that conventional methods may ignore to overcome such challenges.An in-depth analysis of discrete choice models(DCM)and several ML algorithms,datasets,model validation strategies,and tuning techniques employed in previous research is carried out in the present study.Besides,the current review also summarizes DCM and ML models to predict TMC and recognize the determinants of TB in an urban area for different transport modes.The two primary goals of our study are to establish the present conceptual frameworks for the factors influencing the TMC for daily activities and to pinpoint methodological issues and limitations in previous research.With a total of 39 studies,our findings shed important light on the significance of considering factors that influence the TMC.The adjusted kernel algorithms and hyperparameter-optimized ML algorithms outperform the typical ML algorithms.RF(random forest),SVM(support vector machine),ANN(artificial neural network),and interpretable ML algorithms are the most widely used ML algorithms for the prediction of TMC where RF achieved an R2 of 0.95 and SVM achieved an accuracy of 93.18%;however,the adjusted kernel enhanced the accuracy of SVM 99.81%which shows that the interpretable algorithms outperformed the typical algorithms.The sensitivity analysis indicates that the most significant parameters influencing TMC are the age,total trip time,and the number of drivers.

Relevance of Advanced Plant Disease Detection Techniques in Disease and Pest Management for Ensuring Food Security and Their Implication: A Review

Plant diseases and pests present significant challenges to global food security, leading to substantial losses in agricultural productivity and threatening environmental sustainability. As the world’s population grows, ensuring food availability becomes increasingly urgent. This review explores the significance of advanced plant disease detection techniques in disease and pest management for enhancing food security. Traditional plant disease detection methods often rely on visual inspection and are time-consuming and subjective. This leads to delayed interventions and ineffective control measures. However, recent advancements in remote sensing, imaging technologies, and molecular diagnostics offer powerful tools for early and precise disease detection. Big data analytics and machine learning play pivotal roles in analyzing vast and complex datasets, thus accurately identifying plant diseases and predicting disease occurrence and severity. We explore how prompt interventions employing advanced techniques enable more efficient disease control and concurrently minimize the environmental impact of conventional disease and pest management practices. Furthermore, we analyze and make future recommendations to improve the precision and sensitivity of current advanced detection techniques. We propose incorporating eco-evolutionary theories into research to enhance the understanding of pathogen spread in future climates and mitigate the risk of disease outbreaks. We highlight the need for a science-policy interface that works closely with scientists, policymakers, and relevant intergovernmental organizations to ensure coordination and collaboration among them, ultimately developing effective disease monitoring and management strategies needed for securing sustainable food production and environmental well-being.

Artificial Intelligence Prediction of One-Part Geopolymer Compressive Strength for Sustainable Concrete

Alkali-activated materials/geopolymer(AAMs),due to their low carbon emission content,have been the focus of recent studies on ecological concrete.In terms of performance,fly ash and slag are preferredmaterials for precursors for developing a one-part geopolymer.However,determining the optimum content of the input parameters to obtain adequate performance is quite challenging and scarcely reported.Therefore,in this study,machine learning methods such as artificial neural networks(ANN)and gene expression programming(GEP)models were developed usingMATLAB and GeneXprotools,respectively,for the prediction of compressive strength under variable input materials and content for fly ash and slag-based one-part geopolymer.The database for this study contains 171 points extracted from literature with input parameters:fly ash concentration,slag content,calcium hydroxide content,sodium oxide dose,water binder ratio,and curing temperature.The performance of the two models was evaluated under various statistical indices,namely correlation coefficient(R),mean absolute error(MAE),and rootmean square error(RMSE).In terms of the strength prediction efficacy of a one-part geopolymer,ANN outperformed GEP.Sensitivity and parametric analysis were also performed to identify the significant contributor to strength.According to a sensitivity analysis,the activator and slag contents had the most effects on the compressive strength at 28 days.The water binder ratio was shown to be directly connected to activator percentage,slag percentage,and calcium hydroxide percentage and inversely related to compressive strength at 28 days and curing temperature.

Sustainable Methods and Techniques in Old and New Public Constructions

This article is about the methods and techniques used in the building ＂retrofit＂ in modernist style designed by the architect Affonso Eduardo Reidy in the fifties, and also about the project of the new Rio de Janeiro MIS （Museum of Image and Sound）, under construction, by The North-American office Diller Scofidio ＋ Renfro, both located in the city of Rio de Janeiro. These constructions present a wide view of the concept of sustainability, not commonly used in public buildings in Brazil. In the building designed by Reidy, which belongs to the State of Rio de Janeiro, the regeneration to host the new headquarters of the State Department of Taxation and Finance respected its original characteristics and used smart and sustainable design techniques, as well as recyclable materials. On the other hand, the project of the new museum at Copacabana Beach was entirely planned on sustainable bases and it includes the application of building techniques concerning that purpose. This article presents a study of these two cases and evaluates the techniques and materials used in one another. Observing the principles of sustainability in construction is a pioneering initiative of the State Government. This article aims at making the scientific community aware of the needs of immediate adoption of sustainability techniques in Civil Engineering, not only in the construction of new buildings, but also in the regeneration of the existing ones, as well as the need of imperious adoption of sustainable techniques when it comes to maintainability.

An Evaluation of the Critical Success Factors in Sustainable Food Supply Chains in Developing Countries

Food is one of the biggest industries in developed and underdeveloped countries. Supply chain sustainability is essential in established and emerging economies because of the rising acceptance of cost-based outsourcing and the growing technological, social, and environmental concerns. The food business faces serious sustainability and growth challenges in developing countries. A comprehensive analysis of the critical success factors (CSFs) influencing the performance outcome and the sustainable supply chain management (SSCM) process. A theoretical framework is established to explain how they are used to examine the organizational aspect of the food supply chain life cycle analysis. This study examined the CSFs and revealed the relationships between them using a methodology that included a review of literature, interpretative structural modeling (ISM), and cross-impact matrix multiplication applied in classification (MICMAC) tool analysis of soil liquefaction factors. The findings of this research demonstrate that the quality and safety of food are important factors and have a direct effect on other factors. To make sustainable food supply chain management more adequate, legislators, managers, and experts need to pay attention to this factor. In this work. It also shows that companies aiming to create a sustainable business model must make sustainability a fundamental tenet of their organization. Practitioners and managers may devise effective long-term plans for establishing a sustainable food supply chain utilizing the recommended methodology.

Liquisolid technique and its applications in pharmaceutics

Most of the newly developed drug candidates are lipophilic and poorly water-soluble. Enhancing the dissolution and bioavailability of these drugs is a major challenge for the pharmaceutical industry. Liquisolid technique, which is based on the conversion of the drug in liquid state into an apparently dry, non-adherent, free flowing and compressible powder,is a novel and advanced approach to tackle the issue. The objective of this article is to present an overview of liquisolid technique and summarize the progress of its applications in pharmaceutics. Low cost, simple processing and great potentials in industrial production are main advantages of this approach. In addition to the enhancement of dissolution rate of poorly water-soluble drugs, this technique is also a fairly new technique to effectively retard drug release. Furthermore, liquisolid technique has been investigated as a tool to minimize the effect of pH variation on drug release and as a promising alternative to conventional coating for the improvement of drug photostability in solid dosage forms. Overall, liquisolid technique is a newly developed and promising tool for enhancing drug dissolution and sustaining drug release, and its potential applications in pharmaceutics are still being broadened.

Nuclear Techniques for Sustastainable Development Goals--Pakistan's Perspctive

The safety,security,and development of a country depend on National Power Elements or factors classified by political scientists on geographical sources.These factors are the capability and capacity of a country to achieve its development aims and objectives such as population and poverty,enough electricity,climate change,availability of water,food production,adequate health facilities,and industrial capacity.The national power elements are interdependent and same of every developed and developing nation,except one or two elements depending on geographical location and population of that country.To strengthen these capability and capacity factors,in 2000 United Nation introduced eight millennium development goals mainly emphasizing on reduction of poverty level up to 50%by 2015.Pakistan was able to work on only three of the indicators out of 169 but was unable to achieve any significant progress.On ending of 15 years'time UN again in 2015 introduced more universal and executable 17 sustainable development goals to be accomplished by 2030.Science was recognized as one of the tools to achieve these SDGs.Scientific and industrial development along with technology are an effective source of economic development.Technology as an application of science for the welfare of human being and technological capacity for development of economic infrastructure development is the most powerful national power element.Technology such as Nuclear Technology is one of the best,which is an accurate and advanced and can be adopted to achieve these goals.Article will discuss Nuclear Technology application on SDGs on which Pakistan is already working since 1956 and has an expertise and trained manpower for achieving nine out of these 17 sustainable goals by applying Nuclear Technology.

Formulation and Evaluation of Mucoadhesive Microspheres of Pioglitazone Hydrochloride Prepared by Ionotropic External Gelation Technique

Microspheres containing Pioglitazone hydrochloride were prepared by the ionotropic external gelation method, using sodium alginate with four mucoadhesive polymers namely sodium carboxy methyl cellulose, hydroxy propyl methyl cellulose, carbopol 934 P and cellulose acetate phthalate as coat materials. Ionotropic gelation is a method to prepare microspheres using combination of Ca2+ as cationic components and alginate as anion. The practical yield of prepared microspheres using the ionotropic gelation technique was between 172 mg and 604 mg. The result of the Chi-squared test carried out between the actual (practical) and expected (theoretical) yields showed no significant difference (P < 0.05) which indicated that the ionotropic gelation technique could be successfully employed to prepare pioglitazone microspheres using sodium alginate, sodium carboxy methyl cellulose, carbopol 934 P, HPMC, cellulose acetate butyrate polymers. The drug entrapment efficiency of prepared microspheres showed between 56.12% ± 3.86% to 84.68% ± 2.93% which was significantly higher for ionotropic gelation technique. The highest drug entrapment was found in formulation PMI 8. Swelling index is the capability of a polymer to swell before the drug is released which influences the rate and mechanism of drug release from the polymer matrix. The swelling index of prepared microspheres was in the range of 68% ± 4.52% to 87% ± 0.98%. Pioglitazone HCl microspheres showed controlled release of drug without initial peak level achieving. This type of properties in Pioglitazone HCl microspheres used to decrease side effects, reduce dosing frequency and improve patient compliances. From the all batches PMI 8 is considered the best formulation, because among all other formulations, it shows better extent of drug release up to 82.12% (18 h), good entrapment efficiency (84.68%) and the ex-vivo wash-off test shows the best mucoadhesive property. The in vitro drug release studies do up to 18 h. As observed from the various plots, most of the formulations followed the Korsmeyer-Peppas model.

The Challenges in Providing Affordable Housing in Nigeria and the Adequate Sustainable Approaches for Addressing Them

Despite multiple schemes implemented by various governments around the country, affordable housing remains elusive to the average Nigerian. Because the situation is comparable to that of other developing nations, it remains a key concern in these countries’ socioeconomic development. Over 52% of Nigeria’s population has been claimed to live in shanties, squatter communities, and informal settlements. This article, therefore, reviews the challenges to the provision of affordable housing in Nigeria and the Sustainable approaches to address them. The article’s findings were based on a thorough examination of the literature. The article’s findings indicated that sustainable approaches for addressing Nigeria’s affordable housing barriers may best be examined through the economic, ecological, social, institutional, and technical factors. The paper urges the present regime, investors, lawmakers, and private developers in Nigeria to implement these approaches for affordable housing provision. The findings from this article will add to the current body of knowledge by providing important information on affordable housing provision and re-directing research interest towards affordable housing in Nigeria and other developing countries.

基于缓释微胶囊技术中草药纺织品的研究进展

微胶囊技术是一种近年来得到广泛研究和应用的先进技术,可以将药物、香料、保健品等有效成分封装在微小颗粒中,以达到缓慢释放的效果。微胶囊技术广泛应用于中草药纺织品中,可以缓释中药有效成分,达到更加持久的疗效。对微胶囊的定义和概念进行了介绍,并对中草药纺织品中常用的微胶囊芯材和壁材种类进行分析总结。此外,还重点关注了微胶囊制备方法及其在中草药纺织品中的应用研究进展。

可持续理念下酉水流域竹编技艺的活化与再生研究

随着原生消费市场的消亡与现代消费理念、审美观念的变化,酉水流域竹编产品的价值日渐式微,篾匠传承面临断层危机。本文基于艺术人类学视角,从人和技艺两个维度分析酉水流域竹编传承所面临的问题与发展机遇。在可持续理念下,将现代设计美学融入竹编产品创新生产,让竹编技艺重新回归民众日常生活,并通过数字化手段增强技艺生命力,重塑当代生活需要与精神价值需求。研究结果有助于推动地方文化繁荣与经济增长,为非遗传统技艺的可持续创新与发展提供参考。

中药缓控释制剂研究进展

目的归纳中药缓控释制剂研究进展,为了解中药缓控释制剂制备工艺、处方和质量评价提供参考。方法通过文献检索,对不同缓控释制剂新类型的优缺点,中药缓控释制剂制备工艺、质量评价体系进行分析。结果缓控释制剂新类型涉及固体脂质纳米粒缓控释制剂、口服渗透泵缓控释制剂、胃滞留给药缓控释制剂、生物黏附微球、固体分散体,制备工艺采用多种筛选方法得出最佳工艺,中药缓控释制剂的质量评价方法包括体外释放度研究、体内释药和体内外相关性研究等。结论中药缓控释制剂研究主要集中在中药单体成分、中药提取物或有效部位、中药多个单体成分组合开发的中药制剂,质量评价体系主要有体内释放度、体外释放度和体内外相关性研究,可为中药缓控释制剂发展提供参考。

重金属污染土壤绿色可持续修复技术

随着工业化和城市化的加速发展,土壤重金属污染已经成为全球性的环境问题。基于此,为解决土壤重金属污染恶化趋势并促进生态系统的健康,本文首先探讨了目前主流的土壤重金属污染绿色可持续修复技术的应用优势,并以某实际工程为例,说明了植物提取法和固体废物修复法两种绿色技术的实际应用流程,最后通过修复效果评估,证明了两种技术对于重金属土壤污染修复的有效性,以此为相关人员提供实践参考。

Compressive strength prediction and optimization design of sustainable concrete based on squirrel search algorithm-extreme gradient boosting technique

Concrete is the most commonly used construction material.However,its production leads to high carbon dioxide(CO_(2))emissions and energy consumption.Therefore,developing waste-substitutable concrete components is necessary.Improving the sustainability and greenness of concrete is the focus of this research.In this regard,899 data points were collected from existing studies where cement,slag,fly ash,superplasticizer,coarse aggregate,and fine aggregate were considered potential influential factors.The complex relationship between influential factors and concrete compressive strength makes the prediction and estimation of compressive strength difficult.Instead of the traditional compressive strength test,this study combines five novel metaheuristic algorithms with extreme gradient boosting(XGB)to predict the compressive strength of green concrete based on fly ash and blast furnace slag.The intelligent prediction models were assessed using the root mean square error(RMSE),coefficient of determination(R^(2)),mean absolute error(MAE),and variance accounted for(VAF).The results indicated that the squirrel search algorithm-extreme gradient boosting(SSA-XGB)yielded the best overall prediction performance with R^(2) values of 0.9930 and 0.9576,VAF values of 99.30 and 95.79,MAE values of 0.52 and 2.50,RMSE of 1.34 and 3.31 for the training and testing sets,respectively.The remaining five prediction methods yield promising results.Therefore,the developed hybrid XGB model can be introduced as an accurate and fast technique for the performance prediction of green concrete.Finally,the developed SSA-XGB considered the effects of all the input factors on the compressive strength.The ability of the model to predict the performance of concrete with unknown proportions can play a significant role in accelerating the development and application of sustainable concrete and furthering a sustainable economy.

地域性材料在低技与高技建造技术中的可持续创新与运用

随着各国对可持续发展理念的不断重视及地方主义思潮的崛起,现代地域性建筑已经成为建筑行业的研究热点。地域性材料建造技术的创新与应用可以有效降低建筑材料生产碳排放总量。文章主要针对地域性材料进行分类与总结,并对近年来地域性材料在低技建造技术研究与高技建造技术研究中的相关案例进行调研与分析,并对其在可持续创新与运用方面的应用进行归纳与总结。文章所总结的案例都在对地域性材料进行深入研究后,利用这些地域性材料的建造技术,并最终在设计与建造阶段运用了相关研究成果。地域性材料建造技术研究将成为建筑业未来重要的研究方向,随着相关研究不断增多与持续深入,相信未来将会对降低建筑业全寿命周期碳排放提供更多的解决方案。

裕固族传统服饰工艺——“织褐子”技法的可持续时尚设计

通过剖析我国少数民族裕固族的传统服饰制作工艺技法——“织褐子”,采取对“织褐子”工艺制作过程案例分析的方式,结合现今可持续时尚的需求,探寻“织褐子”技法在现今可持续时尚发展中的创新,通过我国少数民族裕固族传统“织褐子”工艺技法的可持续时尚特征分析,传达其包含的可持续时尚理念,并试图对其进行创新设计,从而获得在保护我国少数民族传统服饰工艺传承,为少数民族传统服饰文化的延续提供新的启示。

Experiences and Research Perspectives on Sustainable Development of Rice-Wheat Cropping Systems in the Chengdu Plain, China

The rice and wheat cropping pattern is one of the main cropping systems in the world. A large number of research results showed that successive cropping of rice and wheat resulted in a series of problems such as hindering nutrition absorption, gradual degeneration of soil fertility, decline of soil organic matter, and increased incidence of diseases and pests. In China, especially in the Chengdu plain where rice-wheat cropping system is practiced, productivity and soil fertility was enhanced and sustained. This paper reviews the relevant data and experiences on rice-wheat cropping in the Chengdu Plain from 1977 to 2006. The principal sustainable strategies used for rice-wheat cropping systems in Chengdu Plain included： 1） creating a favorable environment and viable rotations; 2） balanced fertilization for maintenance of sustainable soil productivity; 3） improvement of crop management for higher efficiency; and 4） use the newest cultivars and cultivation techniques to upgrade the production level. Future research is also discussed in the paper as： 1） the constant topic： a highly productive and efficient rice-wheat cropping system for sustainable growth; 2） the future trend： simplified cultivation techniques for the rice-wheat cropping system; 3） the foundation： basic research for continuous innovation needed for intensive cropping. It is concluded that in the rice-wheat cropping system, a scientific and reasonable tillage/cultivation method can not only avoid the degradation of soil productivity, but also maintain sustainable growth in the long run.

TOPSIS Based Assessment of Sustainable Water Resources Utilization

Based on water resources conditions,social development,social economy and ecological conditions,the Indicators system for sustainability assessment of water resources use( ISSAWRU) was established for Yinchuan City. Using the Technique for Order of Preference by Similarity to Ideal Solution( TOPSIS),the sustainable development and utilization plan of water resources was assessed for Yinchuan City during 2010-2014. In 2010-2014,there were no significant changes in the natural conditions of water resources in Yinchuan City; however,with the promulgation of national water resources related policies,Yinchuan City realized gradual increase in the water resources utilization rate,gradual improvement in the ecological environment,and gradual optimization of water resources sustainable utilization situation at the same time of ensuring rapid economic growth.

基于Pulser/Sustainer技术的可调谐长脉冲TECO_2激光器

采用光栅谐振腔,对一台基于Pulser/sustainer技术的紫外预电离长脉冲TE CO2激光器的调谐特性进行了实验研究.在增益体积为1.17 L,激光混合气体体积比V(CO2)∶V(N2)∶V(He)=1∶5∶19,工作气压为30 kPa条件下,实验测量了75条激光谱线的输出脉冲能量和脉冲宽度(半高全宽,FWHM),结果表明,相同的激励条件下,不同的激光波长,激光输出脉冲宽度有所不同.通过仔细观察比较四条主要谱线(9R(20),9P(20),10R(20),10P(20))的激光输出脉冲波形随放电电压、放电脉宽以及气体成分配比等的变化情况,说明基于pulser/sustainer技术激励的长脉冲可调谐TE CO2激光器的激光输出脉冲宽度随调谐波长的不同而变化.简单实验分析表明,谱线增益的变化可能是引起谱线输出脉冲宽度不同的主要原因.

基于Pulser/Sustainer技术的高重复频率长脉冲紫外预电离TE CO_2激光器

详细研究了一台增益体积为1.17 L,采用pulser/sustainer技术激励的高重复频率长脉冲紫外预电离TE CO2激光器的运转特性。激光器最高脉冲重复频率100 Hz,输出激光脉冲半峰全宽(FWHM)约23.0μs。实验记录了稳定辉光放电与有起弧的辉光放电时激光器的放电电压/电流波形;测量得到当sustainer充电电压从12 kV到30 kV时,激光器输出脉冲能量从约0.40 J变化上升至约4.0 J,观察到在同一sustainer充电电压下,激光器输出平均功率随脉冲重复频率线性变化;监测到激光器以sustainer充电电压22 kV,重复频率100Hz连续工作10 min时,输出平均功率仅从最大257 W下降至247 W。实验数据表明,与采用低感快脉冲放电激励相比,这种新型的长脉冲TE CO2激光器具有增益开关效应小、输出动态范围大、"起弧适应性"好、输出平均功率下降慢等特点。