Soil and groundwater remediation act has been enacted and executed since year 2000 in Taiwan.  It has been ten good years till today where lots of remediation techniques progressively employed to improve Taiwan soil and groundwater resource quality.  Regulatory agencies, academia, remediation consulting firms, on-site professional engineers all have contribute the proud ten years in terms of soil and groundwater clean-up contribution.  However, some of technologies were un-environmental friendly even detrimental and damage to Taiwan precious soil and groundwater resources.  In Article one of the current Taiwan soil and groundwater Act, it clearly stated that soil is a precious nature resources.  Soil definitely is not a waste, shame on us most of current most commonly employed remediation are unlawful and merely aiming to save time and money consideration without any care to our land.  Dig-and-dump and soil acid washing are damaged employed in almost every single local environment agency soil clean-up project.  Lot of money, effort and time has been spent during past ten years.  Most of the spending is not improving soil quality using Green approach.

Some developmental projects are created by people-private partnerships (PPP), particularly where recovery is acquirable by levying the users. Such PPPs are successful for construction of roads, bridges, running toilet facilities and conveyance facility in mode of use and pay. Likewise, public-scientist partnerships (PSPs) will be successful, where monitored impacts can be used to derive benefit. But such example cases are not so popular in utilizing new research results and derive benefits from natural resources and enhance productivity. There is a demand for similar partnership projects in research area. In this study modality of the PSP to create boost engine for natural resource conservation and bring economic prosperity is established. A novel PSP launch was synthesized on useful food crop viz. finger millet (Elusiane corcona (l)), which has been known since long past, and now is regaining popularity. It was possible to enhance additional annual production of 5.755 million tonnes of finger millet grain, equivalent to additional income of Rs 11,510 crores. Against this the scientist partnership share was 0.49x million tonnes grain and economic equivalency of Rs 992 crores, which was just 7–8%, with same level of input in agriculture. Additional benefits were sustainability of production and resources consecration, reduction of greenhouse gas emission (GHGs), particularly nitrous oxide (N₂O), largely emanating from agriculture and responsible for depletion of ozone layer. The finger millet stiff stem will be useable for production of ply-board filling material that will be innovative building material for housing and infrastructure developments and making furniture.

Antioxidants are derivatives of vitamin C or beta-carotene that prevent reactions stimulated by oxygen, peroxides, or free radicals, thus reducing the oxidative stress. They have found their way into many uses in treating several human diseases and reducing the risk of developing diseases like cancer. In view of this property, the present study was focussed in identifying several plants possessing antioxidative properties and which were also conserved in the ex-situ park of CSIR – Central Institute of Mining and Fuel Research, Dhanbad, India. Fifteen medicinal plants including herbs, shrubs and grasses are reported in this paper, and a collective insight has been presented about their antioxidant properties and the present state of their pharmacological applications. The specific chemical constituents abundant in the leaves, roots, stems, seeds and fruits of each of these plants have also been dealt with. To report a few antioxidant pharmacological preparations from Ayurvedic literature are Vimang, Maharishi Amrit Kalash (MAK4, MAK5), Maharishi Ayurved (MA631, MA47), MA Raja’s Cup, MA Student Rasayana and MA Ladies Rasayana. This review has been attempted to enhance the importance of the plants which are generally being neglected, so that it can used by the local people in rural areas for their cultivation and it will also pave the pathway for their subsequent future use in medicinal and research industry for drug formulation.

Japan’s investment in the domestic construction industry has fallen to less than half its peak in 1992. Given the country’s declining population, Japanese construction companies must go global to remain profitable. To what extent the Japanese government and Japanese companies can contribute to meeting the growing infrastructure needs in the region is unclear as Japanese companies have long been operating primarily in Japan. The Japanese government has in recent years passed a series of new laws that encourage private sector participation in financing, building and operating public infrastructure. Through involvement in such public projects, Japanese companies have developed the skills and technologies to build a variety of infrastructures that are resilient to natural disasters and adaptable to various geographical conditions and social and economic development. But the major challenge for Japanese companies is to transform their business model drastically from one that relies on the domestic market to one that contributes to the social and economic development of third countries.

This article describes a classification tool to cluster SARAL/AltiKa waveforms. The tool was made using Python scripts. Radar altimetry systems (e.g., SARAL/AltiKa) measures the distance from the satellite centre to a target surface by calculating the satellite-to-surface round-trip time of a radar pulse. An altimeter waveform represents the energy reflected by the earth’s surface to the satellite antenna with respect to time. The tool clusters the altimetric waveforms data into desired groups. For the clustering, we used evolutionary minimize indexing function (EMIF) with k-means cluster mechanism. The idea was to develop a simple interface which takes the altimetry waveforms data from a folder as inputs and provides single value (using EMIF algorithm) for each waveform. These values are further used for clustering. This is a simple light weighted tool and user can easily interact with it.