Transferring Results of Behavioral Research to Industry to Improve Animal Welfare on the Farm, Ranch and the Slaughter Plant

The article focuses on three results of the study: "(1)Communicate your results outside the research. Write articles in popular and industry magazines. Speak at producer meetings and develop websites that can be used to transfer research results into practice. (2) Choose places (e.g. farms or plants) that have managers who believe in your research, and be prepared to spend a lot of time with the first place that uses your findings. (3) to fail. (4) Do not allow your technology to get tied up in patent disputes."

The Feasibility of Using Vocalization Scoring as an Indicator of Poor Welfare During Cattle Slaughter

The article discusses the vocalization of cattle in six slaughter plants and the results indicate that "vocalization scoring could be used as a simple method for detecting welfare problems that need to be corrected".

Welfare of Cattle during Slaughter and the Prevention of Nonambulatory (downer) cattle

The article focuses on keeping cattle calm and removing distractions that would scare cattle back from the chute.

Biotechnology and Animal Welfare

The articles discusses "processes which require the manipulation of genetic material to produce a substance which is administered to a farm animal or manipulation of the animal's own genetic material". The last section focuses on the ethical questions "from the viewpoint of the author who has had years of experience...".

Chapter 10: Antemortem Handling and Welfare

The chapter discusses the following topics: Continuous Measurement and Monitoring, Meat Quality Correlations, How Stressful is Slaughter?, Causes of Poor Welfare Audit Scores, Animal Vision, Hearing and Smell, Basic Handling Principles, Handler Movement Patterns, Design of Handling Facilities, Design and Operation of Restraint Devices, Stunning, Stunning Method and Blood-Splash, Bruising and Meat Quality.

The Welfare of pigs during Transport and Slaughter

The article researches "electric stunning, carbon dioxide stunning, pig behaviour during handling, return to sensibility, facility design, truck loading, density and transport stress".

An Abstract Algebraic Theory of L-Fuzzy Relations for Relational Databases

Classical relational databases lack proper ways to manage certain real-world situations including imprecise or uncertain data. Fuzzy databases overcome this limitation by allowing each entry in the table to be a fuzzy set where each element of the corresponding domain is assigned a membership degree from the real interval [0…1]. But this fuzzy mechanism becomes inappropriate in modelling scenarios where data might be incomparable. Therefore, we become interested in further generalization of fuzzy database into L-fuzzy database. In such a database, the characteristic function for a fuzzy set maps to an arbitrary complete Brouwerian lattice L. From the query language perspectives, the language of fuzzy database, FSQL extends the regular Structured Query Language (SQL) by adding fuzzy specific constructions. In addition to that, L-fuzzy query language LFSQL introduces appropriate linguistic operations to define and manipulate inexact data in an L-fuzzy database. This research mainly focuses on defining the semantics of LFSQL. However, it requires an abstract algebraic theory which can be used to prove all the properties of, and operations on, L-fuzzy relations. In our study, we show that the theory of arrow categories forms a suitable framework for that. Therefore, we define the semantics of LFSQL in the abstract notion of an arrow category. In addition, we implement the operations of L-fuzzy relations in Haskell and develop a parser that translates algebraic expressions into our implementation.