The results of this study support the implementation of additive manufacturing for the rapid manufacture of scalable structures with anisotropic material properties for various applications.Wear of orthopaedic endoprostheses is associated with adverse local and systemic reactions and can lead to early implant failure. Manufacturing determines the initial subsurface microstructure of an alloy that influences the implant’s wear behaviour. Therefore, this study aims at generating enhanced wear resistances by a modification of the surface and subsurface microstructure of a CoCr28Mo6 wrought alloy by applying deep rolling. The state of the art was investigated by means of eleven retrieved CoCr28Mo6 hip implant components from different manufacturers with respect to their subsurface microstructure and micro hardness profiles. CoCr28Mo6 wrought alloy samples (DIN EN ISO 5832-12) were aged at 750 °C for 24 h and/or plastically deformed by deep rolling with varying axial forces (170 N, 230 N and 250 N). The samples were metallographically prepared and investigated using optical and scanning electron microscopy with EDS and EBSD, micro hardness testing, XRD and tribological testing. The retrieved implant sed fcc-matrix samples. This study demonstrates that deep rolling is an effective processing to modify the subsurface of a biomedical CoCr28Mo6 wrought alloy in order to increase the wear resistance. The intentional transformation from the fcc to the hcp phase induced by deformation offers great potential for implant application.This study explores the associations between electronic media exposure, age, and socioeconomic status (SES) in a longitudinal sample of 24 infants from English-speaking families. Leveraging Language ENvironment Analysis (LENA) technology, the study seeks to characterize the relation between electronic media exposure and parental and child vocal activity. We analyzed ecologically valid, daylong audio recordings collected in infants’ homes when they were 6, 10, 14, 18, and 24 months old. SES was measured with the Hollingshead Index, and exposure to electronic media and adult and infant vocal activity were measured automatically with LENA. On average, the children in the sample were exposed to 58 min of electronic media daily. We found that electronic media exposure was negatively associated with SES and decreased with child age, but only amongst high-SES families. We also found that electronic media exposure negatively impacted concurrent adult and child vocal activity, irrespective of SES and infant age. The present findings are an important step forward in examining the role of demographic factors in exposure to electronic media and enhance our understanding of the mechanisms through which exposure to electronic media may impact linguistic development in infancy and beyond.Paprika production under the protected designation of origin (PDO) standardized procedures leads to more quality products. However, it is also related to higher retail prices, making them susceptible to adulteration with low-quality paprika or its agricultural origin’s mislabeling. Therefore, in this study, high-performance liquid chromatography with fluorescence detection (HPLC-FLD) fingerprints, strongly related to phenolic acid and polyphenolic compounds, were proposed as chemical markers to assess the classification of paprika from five European regions (three Spanish PDO, Hungary, and the Czech Republic), through a classification decision tree constructed by partial least squares regression-discriminant analysis (PLS-DA) models. After external validation, an excellent classification accuracy of 97.9% was achieved. XST-14 Moreover, the chromatographic fingerprints were also proposed to detect and quantitate two different paprika geographical origin blend scenarios by partial least squares (PLS) regression. Low external validation and prediction errors -with values below 1.6 and 10.7%, respectively- were obtained.Low molecular weight (LMW) collagen peptides show skin and bone health benefits for human. However, the production of LMW collagen peptides from land vertebrate sources remains challenging due to the presence of advanced glycation end products (AGEs) cross-links. In this study, the effect of α-amylase pre-treatment on proteolytic production of LMW collagen peptides by papain was investigated; spent hen, bovine, porcine, and tilapia skin collagens (HSC, BSC, PSC, and TSC, respectively) were chosen. Results showed that pre-treatment with α-amylase considerably improved the production of LMW peptides ( less then 2 kDa) from HSC (33.79-67.66%), PSC (86.03-90.85%), BSC (6.60-28.78%), and TSC (89.92-90.27%). The HSC presented the highest carbohydrate content and was increased the most in LMW peptides after amylase pretreatment. These results suggested that α-amylase could cleave glycosidic bonds of AGEs between collagen and thus enhance the production of LMW collagen peptides.Solid-phase microextraction coupled to gas chromatography-mass spectrometry is a common approach to analyze the volatile profile of cooked meat. The present study aims to investigate the combined effect of sample preparation, including meat presentation (minced and steak) and cooking method (stewed and grilled), and extraction temperature (30, 60 and 80 °C) and time (30 and 50 min) on the volatile composition of cooked deer meat. The statistical results indicated that extraction temperature was the most relevant factor affecting the meat volatile profile of cooked meat followed by the extraction time. Higher extraction temperatures improved the detection of heavy volatile compounds, while sample preparation had little influence on the meat volatile profile, probably due to the accurate control of the parameters used for meat presentation and cooking methods. The results of this work can assist in the standardization of analytical procedures for the characterization of volatile compounds in cooked meat.Low turbidity and low discolouration is targeted in clear red grape juice (RGJ) production. Depending on type of clarification agents, substantial discolouration may occur. Therefore, this study was undertaken to show effects of various clarification treatments (bentonite and chitosan, and combinations of “bentonite + gelatin (B + G),” “bentonite + casein (B + CA),” “bentonite + albumin (B + A)” and “bentonite + chitosan (B + CTS)” on turbidity, color (ACNs, color density-CD and polymeric color-PC), phenolics and antioxidant activity (AOA) during RGJ clarification. Casein alone (4.0 NTU and 9.1% ACN loss) and in combination with bentonite (4.4 NTU and 12.3% ACN loss), followed by B + A (5.7 NTU and 12.3% ACN loss) resulted in best clarity and was associated with least change in ACNs. These clarifications also resulted in high CD (intensive red color) and low PC (low browning). At all dosages, gelatin and albumin were associated with highest ACN losses, while casein in greatest retention. “Bentonite + casein,” followed by “bentonite + albumin,” achieved the best clarification of RGJ.