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This issue is a selected bibliography covering the subject of leadership.

LIBRARIES have come impressively into the public picture in the past year or two, and seldom with more effect than when Their Majesties the King and Queen opened the new Central Reference Library at Manchester on July 17th. In a time, which is nearly the end of a great depression, that the city which probably felt the depression more than any in the Kingdom should have proceeded with the building of a vast store‐house of learning is a fact of great social significance and a happy augury for libraries as a whole. His Majesty the King has been most felicitous in providing what we may call “slogans” for libraries. It will be remembered that in connection with the opening of the National Central Library, he suggested that it was a “University which all may join and which none need ever leave” —words which should be written in imperishable letters upon that library and be printed upon its stationery for ever. As Mr. J. D. Stewart said at the annual meeting of the National Central Library, it was a slogan which every public library would like to appropriate. At Manchester, His Majesty gave us another. He said: “To our urban population open libraries are as essential to health of mind, as open spaces to health of body.” This will be at the disposal of all of us for use. It is a wonderful thing that Manchester in these times has been able to provide a building costing £450,000 embodying all that is modern and all that is attractive in the design of libraries. The architect, Mr. Vincent Harris, and the successive librarians, Mr. Jast and Mr. Nowell, are to be congratulated upon the crown of their work.

OWING to the comparatively early date in the year of the Library Association Conference, this number of THE LIBRARY WORLD is published so that it may be in the hands of our readers before it begins. The official programme is not in the hands of members at the time we write, but the circumstances are such this year that delay has been inevitable. We have dwelt already on the good fortune we enjoy in going to the beautiful West‐Country Spa. At this time of year it is at its best, and, if the weather is more genial than this weather‐chequered year gives us reason to expect, the Conference should be memorable on that account alone. The Conference has always been the focus of library friendships, and this idea, now that the Association is so large, should be developed. To be a member is to be one of a freemasonry of librarians, pledged to help and forward the work of one another. It is not in the conference rooms alone, where we listen, not always completely awake, to papers not always eloquent or cleverly read, that we gain most, although no one would discount these; it is in the hotels and boarding houses and restaurants, over dinner tables and in the easy chairs of the lounges, that we draw out really useful business information. In short, shop is the subject‐matter of conference conversation, and only misanthropic curmudgeons think otherwise.

HARROGATE will be notable as the venue of the Conference in one or two ways that distinctive. The Association Year is now to begin on January 1st and not in September as heretofore; and, in consequence, there will be no election of president or of new council until the end of the year. The Association's annual election is to take place in November, and the advantages of this arrangement must be apparent to everyone who considers the matter. Until now the nominations have been sent out at a time when members have been scattered to all parts of the country on holiday, and committees of the Council have been elected often without the full consideration that could be given in the more suitable winter time. In the circumstances, at Harrogate the Chair will still be occupied by Sir Henry Miers, who has won from all librarians and those interested in libraries a fuller measure of admiration, if that were possible, than he possessed before he undertook the presidency. There will be no presidential address in the ordinary sense, although Sir Henry Miers will make a speech in the nature of an address from the Chair at one of the meetings. What is usually understood by the presidential address will be an inaugural address which it is hoped will be given by Lord Irwin. The new arrangement must bring about a new state of affairs in regard to the inaugural addresses. We take it that in future there will be what will be called a presidential address at the Annual Meeting nine months after the President takes office. He will certainly then be in the position to review the facts of his year with some knowledge of events; he may chronicle as well as prophesy.

THE article which we publish from the pen of Mr. L. Stanley Jast is the first of many which we hope will come from his pen, now that he has release from regular library duties. Anything that Mr. Jast has to say is said with originality even if the subject is not original; his quality has always been to give an independent and novel twist to almost everything he touches. We think our readers will find this to be so when he touches the important question of “The Library and Leisure.”

Purpose: This chapter aims to examine machine learning (ML) models for predicting credit card fraud (CCF).

Need for the study: With the advance of technology, the world is increasingly relying on credit cards rather than cash in daily life. This creates a slew of new opportunities for fraudulent individuals to abuse these cards. As of December 2020, global card losses reached $28.65billion, up 2.9% from $27.85 billion in 2018, according to the Nilson 2019 research. To safeguard the safety of credit card users, the credit card issuer should include a service that protects customers from potential risks. CCF has become a severe threat as internet buying has grown. To this goal, various studies in the field of automatic and real-time fraud detection are required. Due to their advantageous properties, the most recent ones employ a variety of ML algorithms and techniques to construct a well-fitting model to detect fraudulent transactions. When it comes to recognising credit card risk is huge and high-dimensional data, feature selection (FS) is critical for improving classification accuracy and fraud detection.

Methodology/design/approach: The objectives of this chapter are to construct a new model for credit card fraud detection (CCFD) based on principal component analysis (PCA) for FS and using supervised ML techniques such as K-nearest neighbour (KNN), ridge classifier, gradient boosting, quadratic discriminant analysis, AdaBoost, and random forest for classification of fraudulent and legitimate transactions. When compared to earlier experiments, the suggested approach demonstrates a high capacity for detecting fraudulent transactions. To be more precise, our model’s resilience is constructed by integrating the power of PCA for determining the most useful predictive features. The experimental analysis was performed on German credit card and Taiwan credit card data sets.

Findings: The experimental findings revealed that the KNN achieved an accuracy of 96.29%, recall of 100%, and precision of 96.29%, which is the best performing model on the German data set. While the ridge classifier was the best performing model on Taiwan Credit data with an accuracy of 81.75%, recall of 34.89, and precision of 66.61%.

Practical implications: The poor performance of the models on the Taiwan data revealed that it is an imbalanced credit card data set. The comparison of our proposed models with state-of-the-art credit card ML models showed that our results were competitive.

In this article, we situate organizational cynicism at the nexus of the related constructs of burnout, stress, and antisocial behavior. We expand Dean, Brandes, and Dharwadkar's (1998) notion of behavioral cynicism to include cynical humor and cynical criticism. We also propose that cynical behavior has important, non-linear effects on employee work performance. Finally, we suggest that cynical behavior may act as a coping mechanism for employees and that such behavior moderates the stress–performance relationship.

The purpose of this paper is to present a new approach in viewing the control of safety at crude oil exploration platforms.

The approach utilized in this work is the fusion of artificial neural network and fuzzy logic. The approach is adopted in view of the better presentation of solutions to the safety control problem that neuro‐fuzzy exhibits. It is better than the individual application of either artificial neural network or fuzz logic to the problem at hand. The model captures uncertainties and imprecision that are prevalent in the quantification or data gathering stage of safety control measurement.

It was demonstrated that the application of neuro‐fuzzy is feasible. The results seem applicable to similar settings with similar system characteristics.

Since more confidence is obtained with the use of this more effective tool, there is improvement in decision making based on reliance on the model. Thus, the improved quality of decision made would positively affect lives of workers at the oil platforms or the materials or equipment used for exploration purposes.

The work is original in that it is the first time the neuro‐fuzzy methodology would be applied to offshore oil platform safety control.