Amid today’s stringent regulations and rising consumer awareness, failing to meet quality standards often results in health and financial compromises. In the lookout for solutions, the food industry has seen a surge in high-performing systems all along the production chain. By virtue of their wide-range designs, speed, and real-time data processing, the electronic tongue (E-tongue), electronic nose (E-nose), and near infrared (NIR) spectroscopy have been at the forefront of quality control technologies. The instruments have been used to fingerprint food properties and to control food production from farm-to-fork. Coupled with advanced chemometric tools, these high-throughput yet cost-effective tools have shifted the focus away from lengthy and laborious conventional methods. This special issue paper focuses on the historical overview of the instruments and their role in food quality measurements based on defined food matrices from the Codex General Standards. The instruments have been used to detect, classify, and predict adulteration of dairy products, sweeteners, beverages, fruits and vegetables, meat, and fish products. Multiple physico-chemical and sensory parameters of these foods have also been predicted with the instruments in combination with chemometrics. Their inherent potential for speedy, affordable, and reliable measurements makes them a perfect choice for food control. The high sensitivity of the instruments can sometimes be generally challenging due to the influence of environmental conditions, but mathematical correction techniques exist to combat these challenges.

Aggressive T-cell neoplasms are an infrequent complication of allogeneic organ and bone marrow transplantation. To date, chronic T-cell lymphoproliferative malignancies have not been described. The present case documents the occurrence of a T-cell large granular lymphocytic leukemia (T-LGL) in a patient following orthotopic liver transplantation. Genotype studies showed a clonal T-cell receptor beta-chain gene rearrangement. A unique feature was the detection of a specific chromosomal deletion at 1p32 involving the tal-1 gene, an abnormality previously described only in aggressive T-cell neoplasms.

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It is well-known that if a customer follows a longer path while shopping then the expected value of his/her purchased amount is increased; therefore the sale amount of the supermarket can be increased. This study deals with a new problem: how to re-layout a supermarket the impulsive purchases of the average customer are maximized. Supermarket is a shop of limited size and is definitely smaller than the hypermarket. It is assumed that it is located in a living area and customers know its layout well. In many countries, there are plenty of shops like that. In a case study 27 clusters of customers are defined based on 13,300 real buying. To assume that actors behave in a rational way, is traditional in analysis of economic problems. Rationality means in that case that customers choose the shortest possible path according to their a priori purchase plan. Thus, traveling salesman problem (TSP) can be used to simulate the customer's shopping path. Dantzig-Fulkerson-Johnson formulation of TSP is used to maximize the shortest traveled path of each customer type by rearranging the items of the supermarket as a max-min problem. The computational experiences on the case study show that the total distance is increased in the new layout proposed by the model.Keywords Supermarket layout · Customer behavior · Mixed integer linear programming · Traveling salesman problem · Dantzig-Fulkerson-Johnson model B Béla Vizvári