Induced breeding, embryonic and larval development in Heteropneustes fossilis (Bloch) in the agro-climatic conditions of Maharashtra

Heteropneustes fossilis was induced bred for the first time in the agro-climatic conditions of Maharashtra, India. The embryonic development was completed within 16-18h after fertilisation. Head and tail ends were distinguishable after 3h and 11-12 somites were visible after 6-7h. The eggs started hatching after 14h of incubation. Average hatching time was 16-18h at 26 degrees C. In first day old pro-larva, notochord was deflected upwards, eyes were darkly pigmented and alimentary canal appeared. In fourth day old post-larva intestinal coiling could be seen and yolk was absorbed. Aerial respiration started by 8th day. The 10 day old post-larva was free swimming and fed voraciously attaining a length of 20 mm in 30 days.

内蒙古草原CH4 通量的DNDC 模型模拟

甲烷（CH4）是增温效应仅次于二氧化碳（CO2）的重要温室气体。内蒙古草原是欧亚温带草原的重要类型，具有典型的生态地域代表性。如何理解该区域CH4 交换的时空格局与环境控制、不同土地利用类型的源汇特征以及CH4 通量对气候变化的响应、对于我们进一步理解全球变化与陆地生态系统关系具有十分重要的意义。本研究以内蒙古草原锡林河流域为对象，首次在国内应用DNDC 生物地球化学模型模拟干草原和河漫滩湿地的CH4 通量，预测CH4 循环对未来气候变化的响应，并对该区域干草原的CH4 吸收进行了区域模拟估算。结果表明： 1.在模型中添加植被生长节律与土壤CH4 吸收的关系函数后，DNDC 模型能够准确地模拟锡林河流域干草原CH4 吸收的大小及其年变化。土壤温度、土壤水分和植被生长状况是影响干草原大气CH4 吸收的主要因素。 2.水位，土壤温度，质地和植被生长节律是控制河漫滩湿地CH4 通量的主要因子。根据有限水位测定值估算模拟周期内全部水位数据的方法能够应用于模拟水位相对比较稳定区域的未知时期水位。经过该修正的DNDC 模型能够较为准确的捕获锡林河流域河边湿地的CH4 排放通量的大小及年变化。 3.干草原和湿地年CH4 通量对温度变化敏感，而对降水量变化不敏感，其中湿地比干草原对温度变化的响应更加敏感。 4.温度升高可显著地促进干草原和湿地的日CH4 吸收和排放能力，其CH4 通量的增加均表现出明显的季节性差异。干草原日CH4 通量对降水量增加20% 的响应并不显著，而河漫滩湿地的响应虽显著，变幅却很小且增减程度不同。 5.与2005 年相比，2050 年干草原河漫滩湿地的CH4 吸收和排放量将分别增加10%和77%。锡林河流域CH4 通量对未来气候变化产生正反馈作用，并且湿地CH4 排放对未来气候变化的响应大于干草原CH4 吸收的响应。未来气候变化将增加锡林河流域CH4 源强度。 6. 锡林河流域干草原CH4 吸收量达2.42Gg C•yr-1。干草原CH4 吸收量的空间异质性较大，各栅格单元（0.01 ×0.01 度）的CH4 吸收量变化为0-404.6 kg C，其中大部分区域CH4 吸收量变化在150-250 kg C•yr-1 之间。草甸草原的大气CH4 吸收能力显著高于典型草原。干草原CH4 吸收率平均为2.59 kg C• ha-1 •yr-1。干草原CH4 吸收量的空间异质性是土壤有机质含量、土壤质地、土壤温度湿度，植被类型等因素共同作用的结果，与单一变量的关系并不明显。

Studies on the growth temperature ranges of bacteria isolated from fresh sardine at different primary incubation temperature

The effect of primary incubation temperature on the growth temperature range was studied with reference to 296 bacterial cultures isolated from sardine using streak plate technique. The primary incubation temperature used during bacteriological sampling caused a selection of strains according to their growth temperature requirements. Incubation at 8°C caused greater recoveries of psychrotrophs while 30°C favored mesophiles. An incubation temperature of 30°C facilitated the growth of both psychrotrophs and mesophiles.

The influence of plating technique and incubation temperature on bacterial count from fish and fishery products

For bacterial sampling of raw unprocessed fish and frozen fishery products, spread plate method is preferable to pour plate method; incubation of plates at 30°C gives a higher count than incubation at 37°C. Analysis of variance of the data shows that sample variation between different types of fishes is highly significant whereas the variations between triplicate plates are not significant at 5 % level.

Effect of incubation period on plate count of raw ices and frozen fish

The total viable counts were estimated in one hundred and sixty five samples of raw, iced and frozen fish using incubation periods of 24, 48, 72 and 96h. For raw fish, 24h and for iced and frozen fish 48h incubation of the plates were found to be adequate. Variation between samples was significant at 1% level for raw iced and frozen samples.

Incubation temperature for total bacterial count of frozen sea foods

Effect of incubation temperatures of 37°C ambient and 5-10°C on total plate count of commercial frozen prawns, squids, cuttle fish and froglegs were studied. Results indicate that incubation at ambient temperature gives the best results.

Evolving corporate entrepreneurship strategy: Technology incubation at Philips

Established firms tend to pursue incremental innovation by modifying and refining their existing products and processes rather than developing radical innovations. In the face of resistance to change and incumbent inertia, which prevent the generation of novelty, established firms have turned towards corporate entrepreneurship as a means of exploiting knowledge accumulated within its own boundaries and exploring external markets. This paper focuses on one mode of corporate entrepreneurship, corporate incubation, informed by a study of a Technology Incubator at Philips. An account of the history of the incubator traces its progress from its inception in 2002-2006 when further incubators were formed, building on this experience and focusing on lifestyle and healthcare technologies. We identify ways in which the Philips incubator represents an alternative selection environment that effectively simulated the venture capitalist model of entrepreneurial innovation. © 2009 Blackwell Publishing Ltd.

Trial by market: the Brightstar incubation experiment

Established firms accumulate a significant body of knowledge, expertise and capabilities that are often secondary to their central revenue generating activities. How do they leverage this expertise in non-core technology into future value creation opportunities? In this paper we examine an attempt by the telecommunications firm BT to create value from the accumulated knowledge within its laboratories by setting up an incubator. While conceived by the board as a mechanism for leveraging the value of non-core technology into the workplace, corporate support for the incubator was withdrawn after only three years and prompted the incubator to partner with a venture capital firm, NVP, in the spin-out of ventures. Through analysis of this single case we observe how entering into such a relationship reduces the transaction costs of accessing complementary resources, capabilities and competences, while simultaneously reducing a number of the risks associated with venturing for both parties. Partnering with the venture capitalist allows the established firm to get its intellectual property into the market, for it to be tested by the market and further developed. © 2010 Inderscience Enterprises Ltd.