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As the today's world is leading toward the digital dependency and after the world pandemic of COVID-19, the dependency of students and the university is completely through a digital medium, in context with that the higher education according to the demand of the generation is leading towards digital transformation. The digital transformation in the sector of education is the road map for the sustainable management and development of education. The digital transformation is the new pillar of education in which the students are mostly reliable. The digitalization in the field of education will lead to simple and clarified as well as multiple way for acquiring the knowledge. As the integration of the new model of education system is applied and implemented throughout the globe, the digital medium plays a significant role for the smooth and the systemic development of the model. In this chapter, the pathway for the development of the well-stable and well-developed strategies is considered in which the integration of the essential requirements, proper guidance, and advantages of the model is dependent for the transformation to digital medium of the higher education that will be leading to the development of the management and the education system. The foundation of that transformation model is detailed in the paper for the digitalization of higher education.

There is a huge amount of information and data stored in publicly available online databases that consist of large text files accessed by Boolean search techniques. It is widely held that less use is made of these databases than could or should be the case, and that one reason for this is that potential users find it difficult to identify which databases to search, to use the various command languages of the hosts and to construct the Boolean search statements required. This reasoning has stimulated a considerable amount of exploration and development work on the construction of search interfaces, to aid the inexperienced user to gain effective access to these databases. The aim of our paper is to review aspects of the design of such interfaces: to indicate the requirements that must be met if maximum aid is to be offered to the inexperienced searcher; to spell out the knowledge that must be incorporated in an interface if such aid is to be given; to describe some of the solutions that have been implemented in experimental and operational interfaces; and to discuss some of the problems encountered. The paper closes with an extensive bibliography of references relevant to online search aids, going well beyond the items explicitly mentioned in the text. An index to software appears after the bibliography at the end of the paper.

STATUS with IQ is a free text retrieval system which invites the user to enter a query either by specifying search terms which reflect concepts relative to the user's information need or by describing that need in natural language. IQ responds by producing an objectively ranked list of those documents which will be most helpful to the inquirer, there being no requirement that any particular search term be present unless this has been made a precondition. In addition, it provides the user with detailed statistical information showing the extent to which each retrieved document contains the various search terms. These details provide valuable additional guidance regarding the information content of the retrieved documents.

This article reviews some of the more unconventional text retrieval systems, emphasising those which have been commercialised. These sophisticated systems improve on conventional retrieval by using either innovative software or hardware to increase retrieval speed or functionality, precision or recall. The software systems reviewed are: AIDA, CLARIT, Metamorph, SIMPR, STATUS/IQ, TCS, TINA and TOPIC. The hardware systems reviewed are: CAFS‐ISP, the Connection Machine, GESCAN,HSTS,MPP, TEXTRACT, TRW‐FDF and URSA.

The AIDA project is a program of research being carried out by Computer Power in Canberra, Australia, in collaboration with the Australian Parliament. Its primary objective is to develop practical methods for carrying out document content analysis with minimal human intervention. Following a very successful independent assessment of the techniques, the first commercial‐strength tool has now been developed. It links the different AIDA analyses (point form summary, keywords, and so on) with the original document to form a “complete” hyperdocument. The different techniques employed by AIDA to achieve its results are described.

Involuntary part-time employment is a measure of labor market slack that goes beyond the unemployment rate, and broadens our understanding of the state of the labor market. Our study investigates the determinants of the involuntary part-time employment share (i.e., the proportion of involuntary part-time workers in all employment) by accounting for both labor supply (unemployment) and labor demand (job vacancies). We use big data on the near universe of online job vacancies collected by Lightcast and the Current Population Survey from 2003 to 2021. We find that, within a commuting zone by Census occupation cell, a 10% increase in the unemployment rate increases the involuntary part-time share by 0.19 percentage points, while a 10% increase in job vacancies decreases the involuntary part-time share by 0.07 percentage points. We also provide suggestive evidence that higher labor market concentration, which is indicative of greater labor market power, may raise involuntary part-time employment. Overall, we conclude that higher labor supply and lower labor demand increase involuntary part-time employment.

Term position information, as provided in some Boolean systems in the form of field restriction and term proximity, is reviewed and its value assessed. Non‐Boolean retrieval in the form of the ranked output experiment has not so far used term position information but has concentrated on schemes of term weighting. The use of term proximity devices is proposed here by analogy with Boolean techniques and seven algorithms are devised to incorporate the ideas of sentence matching, proximate terms, term order specification and term distance computations. It is hypothesised that term position will act as a precision device. A new search experiment is then described in which a test collection is processed into sentences and then output ranking using term position is obtained. Results are given for five algorithms compared against quorum searching as the benchmark. The best result increased the precision ratio by 18% and used proximate matching term pairs in sentences plus a distance component.

InTEXT Systems delivers software products and technologies for content‐based routing, retrieval, development and presentation for mission‐critical workgroup, Internet and World Wide Web applications. The organisation is backed by over 12 years of focused research and development in the areas of intelligent analysis, routing and retrieval. The tools described in this article are already in use by companies such as American Express, Wollongong, Pacific Bell, State of California and Uniplex software. A complete object‐oriented toolset covering all areas of online text management brings significant benefits to developers, through greatly reduced programming effort, and to end‐users, with intelligent interfaces helping them to cut through the information overload.

The purpose of this paper is to (1) investigate the effect of freshness on consumers' willingness to pay, (2) derive static and dynamic pricing strategies and (3) compare the effect of these pricing strategies on a retailer's revenue and food waste. This investigation helps to reveal the potentials of dynamic pricing strategies for building more sustainable business models.

The authors conduct an online experiment to measure consumers' willingness to pay for fresh and three-days’ old strawberries. The impact of freshness on willingness to pay is analysed using univariate tests and regression analysis. Pricing strategies are compared using a Monte Carlo simulation.

The results of this study show that freshness largely determines consumers' willingness to pay and price sensitivity. This renders dynamic pricing a promising strategy from an economic point of view. The results of the simulation study show that food waste can be reduced by up to 53.6% with a dynamic pricing instead of a static pricing strategy in the case that there are as many consumers as strawberry packages in the inventory. Revenue can be increased by up to 10% compared to a static pricing strategy based on fresh strawberries.

This study suggests that food retailers can improve their revenue when switching from static to dynamic pricing. Furthermore, in most cases, food retailers can reduce food waste with a dynamic instead of a static-pricing strategy, which might help to improve their image through a more sustainable business model and attract additional consumers.

This study is the first to analyse the possibility of using food freshness to design a dynamic pricing strategy and to analyse the impact of such a pricing strategy on both, a retailer's revenue and a retailer's food waste.

Fieldwork is one of the hallmarks of anthropology. Almost all students of anthropology have geographical and cultural specializations, ranging from a small group to a nation. Their interest areas are often identified or marked by real or putative boundaries; and it is within these boundaries that anthropologists have “founded” their own villages and tribes — “my village”, “my tribe.”