Intellectual property regimes necessarily create artificial scarcity leading to wastage, both by blocking follow-up research and hindering access to those who are only able to pay less then the actual retail price. After revising the traditional arguments to hinder access to people’s intellectual labour we will examine why we should be more open to allow free-riding of inventive efforts, especially in cases where innovators have not secured the widest access to the fruits of their research and failed to cooperate (...) with follow-up innovators. We will do so by questioning the voluntariness involved in consumption of objects of innovation, restating the positive social externalities that arise when wider access to the fruits of innovation is assured, and examining the eventual harms innovators face. (shrink)

It is well known that there is a shortage of human ova for in vitro fertilization (IVF) purposes, but little attention has been paid to the way in which the demand for ova in stem-cell technologies is likely to exacerbate that shortfall and create a trade in human eggs. Because the 'Dolly' technology relies on enucleated ova in large quantities, allowing for considerable wastage, there is a serious threat that commercial and research demands for human eggs will grow exponentially (...) from the combination of these two pressures. In the absence of legal regulation in the United Kingdom, and in the context of a globalized trade in human organs, we face a 'Wild West' situation in genetic and biotechnological research that involves human ova. (shrink)

"It’s a beautiful thing, the destruction of words. Of course the great wastage is in the verbs and adjectives, but there are hundreds of nouns that can be got rid of as well. It isn’t only the synonyms; there are also the antonyms. After all, what justification is there for a word which is simply the opposite of some other word? A word contains its opposite in itself. Take “good”, for instance. If you have a word like “good”, what (...) need is there for a word like “bad”? “Ungood” will do just as well — better, because it’s an exact opposite, which the other is not." (Syme, in George Orwell's Nineteen Eighty-Four) This chapter is about opposites and Newspeak in Orwell's Nineteen Eighty-Four. (shrink)

Household electricity consumption rates are increasing globally. However, saving electricity can decrease energy use, avoid wastage, and save financial resources for households. Therefore, this study was conducted to determine how attitude influences electricity-saving behaviors among household users in Nsukka District, Enugu State, Nigeria. The study adopted a descriptive survey design. A research question with corresponding null hypotheses was formulated and tested at a 0.05 level of significance. Stratified random sampling was used to select 400 household users, consisting of 206 (...) females and 194 males. A structured questionnaire was used to collect information from the respondents. The questionnaire was validated by three experts and tested for reliability using the Cronbach alpha method. It contained respondents' personal data (biodata and demographics) and 28 items on attitudinal factors. The data obtained were analyzed to determine mean responses, and t-tests were used to test the null hypotheses at a 0.05 level of significance. The study found that gender does not influence the attitude of household users towards electricity-saving behaviors. It is recommended that government and non-government bodies organize training programs for household users of electricity to improve their attitude and promote more electricity-saving behaviors. (shrink)

Anamoly detection in videos plays an important role in various real-life applications. Most of traditional approaches depend on utilizing handcrafted features which are problem-dependent and optimal for specific tasks. Nowadays, there has been a rise in the amount of disruptive and offensive activities that have been happening. Due to this, security has been given principal significance. Public places like shopping centers, avenues, banks, etc. are increasingly being equipped with CCTVs to guarantee the security of individuals. Subsequently, this inconvenience is making (...) a need to computerize this system with high accuracy. Since constant observation of these surveillance cameras by humans is a near-impossible task. It requires workforces and their constant attention to judge if the captured activities are anomalous or suspicious. Hence, this drawback is creating a need to automate this process with high accuracy. Moreover, there is a need to display which frame and which parts of the recording contain the uncommon activity which helps the quicker judgment of that unordinary action being unusual or suspicious. Therefore, to reduce the wastage of time and labour, we are utilizing deep learning algorithms for Automating Threat Recognition System. Its goal is to automatically identify signs of aggression and violence in real-time, which filters out irregularities from normal patterns. We intend to utilize different Deep Learning models (CNN and RNN) to identify and classify levels of high movement in the frame. From there, we can raise a detection alert for the situation of a threat, indicating the suspicious activities at an instance of time and spray the smoke spray. (shrink)

The attendance is taken in every organization. Traditional approach for attendance is, professor calls student name & record attendance. For each lecture this is wastage of time. To avoid these losses, we are about to use automatic process which is based on image processing. In this project approach, we are using face detection & face recognition system. The first phase is pre-processing where the face detection is processed through the step image processing. It includes the face detection and face (...) recognition process. Second phase is feature extraction. Step by step execution of these techniques (Image Processing) helps to achieve the final output. The working of this project is to detect and recognize the face and mark the attendance for the corresponding face in the database. Input of this project is face detection and recognition and output is to mark the attendance. Our project is being presented as a solution for the Automatic Attendance Marking System. It is designed to be reliable and low power. The Automatic face detection and recognition proposed to attendance marking in database acts as the solution for the automatic attendance marking system.. (shrink)