Effect of different brine concentrations and ripening period on some quality properties of Turkish white pickled cheese

The aim of this study was to determine the effects of different brine concentrations on some properties of Turkish white cheese. Cheeses made from pasteurized milk (65°C for 30 min) were ripened in 11, 14 and 17 g 100 ml-1 NaCl for 90 days at 7±1°C. Some physicochemical and biochemical analyses were carried out during storage time. The effects of brine concentrations on total solids, protein, ash, salt, pH, and WSN values were found to be significant (P<0.05). On the contrary, fat, lipolysis, TCA-SN and PTA-SN values of the cheese samples were not significantly affected by the brine concentrations used. On the other hand, the values of protein, ash, salt, pH, lipolysis, WSN, TCA-SN and PTA-SN of the experimental cheeses were significantly (P<0.05, P<0.01) affected by storage time, while the effect of storage period on total solids and fat contents was found to be insignificant (P>0.05).Key words: Turkish white cheese, brine salting, ripening, lipolysis, proteolysis

Comparison of quality characteristics of Çökelek and Lor cheeses

The objective of this study was to compare some quality characteristics of Çökelek (cottage cheeselike) and Lor (whey cheese) cheeses during a storage period of 21 days. Çökelek and Lor cheeses significantly (P < 0.05, P < 0.01) showed differences in terms of the examined parameters and storage period. Mean value of lipolysis in Çökelek cheese was higher (P < 0.01) than that of Lor cheese. Also storage time affected (P < 0.01) the values of lipolysis in two experiments. It was found that αs1casein was hydrolyzed much faster than those of γ-casein and β-casein in the Çökelek and Lor cheeses, the γ-, β-, and αs1casein levels in two cheeses remained relatively constant during storage. There were no significant differences in water-soluble N (WSN), trichloroacetic acid soluble N (TCA-SN) and phosphotungstic acid soluble N (PTA-SN) contents of the two experiments, but the storage time significantly (P < 0.01) affected these parameters. The counts of coliforms, lactic acid, proteolytic, psycrotrophic bacteria and yeasts-molds between Çökelek and Lor cheese samples were found to be significant (P < 0.01), but total aerobic mesophilic bacteria (TAMB) and Salmonella thermophilus counts were not significant statistically. Storage time significantly (P < 0.01) affected the examined microbiological parameters. Sensory evaluations of the experimental cheeses showed differences in terms of cheese types and storage period.Key words: Çökelek, Lor, lipolysis , proteolysis, microbiology, sensory

Chatbot-Based Natural Language Interfaces for Data Visualisation: A Scoping Review

Rapid growth in the generation of data from various sources has made data visualisation a valuable tool for analysing data. However, visual analysis can be a challenging task, not only due to intricate dashboards but also when dealing with complex and multidimensional data. In this context, advances in Natural Language Processing technologies have led to the development of Visualisation-oriented Natural Language Interfaces (V-NLIs). In this paper, we carry out a scoping review that analyses synergies between the fields of Data Visualisation and Natural Language Interaction. Specifically, we focus on chatbot-based V-NLI approaches and explore and discuss three research questions. The first two research questions focus on studying how chatbot-based V-NLIs contribute to interactions with the Data and Visual Spaces of the visualisation pipeline, while the third seeks to know how chatbot-based V-NLIs enhance users' interaction with visualisations. Our findings show that the works in the literature put a strong focus on exploring tabular data with basic visualisations, with visual mapping primarily reliant on fixed layouts. Moreover, V-NLIs provide users with restricted guidance strategies, and few of them support high-level and follow-up queries. We identify challenges and possible research opportunities for the V-NLI community such as supporting high-level queries with complex data, integrating V-NLIs with more advanced systems such as Augmented Reality (AR) or Virtual Reality (VR), particularly for advanced visualisations, expanding guidance strategies beyond current limitations, adopting intelligent visual mapping techniques, and incorporating more sophisticated interaction methods

Energy use tendencies in a resource-abundant country: the case of Canada

Today’s global energy agenda focuses especially on the fields of increasing energy demand, security of supply and climate change. This situation causes the energy efficiency phenomenon to be considered by policymakers seriously, and additionally to be developed strategies by determining targets in this field. In this sense, it is thought that developments in the field of energy efficiency will increase energy savings and reduce emissions caused by high consumption. On the other hand, the expected improvements in energy saving based on consumer behavior are less than anticipated. In measuring the mentioned dimension, one of the important parameters is defined as the rebound effect. This effect is considered as a dilemma that is frequently emphasized, especially in developed countries since there is a prevailing opinion that the developments in energy efficiency may not cause the expected results in savings. Therefore, it is extremely important to accurately measure the dimensions of the said effect in terms of both guiding policymakers in their strategies on energy efficiency and preventing waste of resources. This study tests the validity of the rebound effect for Canada using annual data from 1972 to 2019. In the study, the Fourier Engle-Granger Cointegration Test, which is one of the current econometric methods, was used, and then FMOLS, CCR and DOLS methods were utilized for the estimation of the short- and long-term coefficients. Empirical findings suggest that increases in energy efficiency in Canada increase energy consumption. Thus, it can be said that the rebound effect is valid for Canada

The effect of foreign trade on economic growth: The case of Turkey

Abstract. In this study, the causal relationships between export, import and economic growth in Turkey are analysed, using quarterly data from 1987 to 2017. In order to examine these relationships a number of econometric methods are applied, such as the Augmented Dickey-Fuller Unit Root Test, Johansen Cointegration Test and Granger Causality Test based on the Error Correction Model. The results show that all variables are stationary in the first difference. Furthermore, the validity of long-run relationships among variables is found by the Johansen cointegration test. Since the cointegration is observed between series, the Error Correction Model is used to determine the causality. The empirical findings from the causality test suggest that there is short-term bidirectional causality between economic growth and import in Turkey. On the other hand, according to the Error Correction Model, there is a long run unidirectional causality from economic growth to export in Turkey.Keywords. Export, Import, Economic growth, Cointegration, Causality, Error correction model.JEL. E40, F32, F36, G15

Thyroglossal Duct Cyst in a 3-Month-Old Infant: A Rare Case

Thyroglossal duct cyst (TGDC) is the most common congenital midline neck mass in children. It usually becomes symptomatic following a respiratory tract infection and is usually diagnosed at 5 years of age. Thyroglossal duct cyst is rarely observed in less than 1-year-old infants. In this study, we present a 3-month-old infant with TGDC, who was administered multiple courses of antibiotic therapy for the hyperemic, draining, midline neck mass that had existed since he was 15 days old. Physical examination revealed an infrahyoid midline neck mass measuring 3×3 cm, which moved while swallowing and had a sinus opening in the overlying skin. The patient underwent Sistrunk operation under general anesthesia. Histopathologic examination revealed TGDC. One-year follow-up revealed no recurrence

Olive leaves extract mediated zero-valent iron nanoparticles: synthesis, characterization, and assessment as adsorbent for nickel (II) ions in aqueous medium

Zero-valent iron nanoparticles (NZVI-NPs) possess significantly high surface area and volume ratio, and this unique surface characteristic has enhanced reactivity to their adsorption potential. In this work, a bio-matter (Olive leaves extract) is deployed as a nature-inspired reducing agent for the synthesis of NZVI-NPs. The particle size of NZVINPs has been determined using particle sizer. The NZVI-NPs are characterized using analytical and morphological techniques such as ultraviolet − visible spectroscopy (UV − vis), energy dispersive X-ray spectroscopy (EDS), X-ray diffraction spectroscopy (XRD), scanning electron microscope (SEM), Brunauer–Emmett–Teller (BET), and Fourier transform infrared (FTIR) spectroscopy. The average crystalline size of NZVINPs are around 30–60 nm while maximum adsorption is at 225 nm. XRD spectrum shows two distinctive diffraction peaks at 25.40° and 42.50° corresponding to lattice plane value indexed at (200) and (222) planes of faced centered cubic (FCC). At optimized experimental conditions, NZVI-NPs show 97% removal efficiency of Ni+2 ions from aqueous solution. The equilibrium time has been found to be 55 min and the monolayer maximum adsorption capacity is 139.5 mg/g. Kinetically, Ni+2 ions adsorption has been modelled using various physical isotherms and the data best fitted Freundlich isotherm model and pseudo-first-order kinetic; revealing a maximum adsorption capacity of 139.5 mg/g at 25 ± 3 °C and pH of 6.5. Desorption tests affirm the possibility of recovering reasonable amount of NZVI-NPs after used. The specific surface area of the NZVI-NPs sample measured by BET analysis is 21.9967 m2/g indicating a high adsorption capacity

Some specific microbiological parameters and prevalence of Salmonella spp. in retail chicken meat from Erzurum province, Turkey and characterization of antibiotic resistance of isolates

Specific microbiological parameters and the presence of Salmonella spp. were investigated in 72 chicken meat samples (36 wings and 36 drumsticks) collected from markets and butcher shops. The specific microbiological parameters were determined using a conventional cultural method and the presence of Salmonella spp. in chicken samples was determined using conventional and immunomagnetic separation (IMS)-polymerase chain reaction (PCR) methods. In addition, antimicrobial susceptibility of the isolates was revealed using the Kirby-Bauer disc diffusion method. The results indicated that 30 of the 72 samples were positive for Salmonella spp. by the conventional method, and 42 of the 72 were positive by the IMS-PCR method. However, 30 of the 72 samples were positive for Salmonella spp. by both methods. The Salmonella spp. isolates were confirmed by the VITEK2 Compact System and PCR. The susceptibilities of the isolates against 10 antibiotics were determined. The results indicated that isolates (27/30) showed the highest susceptibility to gentamycin (90.00%), while the highest resistance was to nalidixic acid and tetracycline at the 100 and 93.34% levels, respectively. These results indicate a high prevalence of Salmonella spp. in poultry meat from Erzurum city, Turkey, and the antimicrobial resistance profile of these isolates should be considered for public health. The results also show that the IMS-PCR technique was superior to the conventional method for detecting Salmonella in poultry meat