Many books have been written to illustrate the position of the new technologies in teaching AND LEARNING a foreign or second language (L2); nonetheless, most of these books have not been successful. The HANDbook of Technology AND Second Language Teaching AND LEARNING edited by Caral A. Chapell AND Shanon Sauro AND published by Wiley Blackwell in 2017, provides a comprehensive overview of the various facets of the use of technology in teaching AND LEARNING an L2. This book has not been translated into Persian AND no critical review has been published for it; accordingly, this study sought to both introduce AND critically review this book. The current critical review revealed some advantages including comprehensiveness of the whole book, the expertise of the writers, up-to-dateness, content AND format integrity, AND the use of valid sources. The main criticisms are the exclusion of some of the very recent technologies, perhaps due to the ever-changing AND exponentially volatile nature of the technological improvements AND expansions, the introduction of too many technologies at the theoretical level without providing information about their practical use. Generally, the book is an invaluable AND academically written source for L2 practitioners, postgraduate students, AND researchers.

Face recognition from digital images is used for surveillance AND authentication in cities, organizations, AND personal devices. Internet of Things (IoT)-powered face recognition systems use multiple sensors AND one or more servers to process data. All sensor data from initial methods was sent to the central server for processing, raising concerns about sensitive data disclosure. The main concern was that all data from all sectors that could contain confidential information was placed in a central server. Federated LEARNING can solve this problem by using several local model training servers for each region AND a central aggregation server to form a global model in IoT networks. This article presents a novel approach to optimize data transfer AND convergence time in federated LEARNING for a face recognition task using Non-dominated Sorting Genetic Algorithm II (NSGA II). The aim of the study is to balance the trade-off between training time AND model accuracy in a federated LEARNING environment. The results demonstrate the effectiveness of the proposed approach in reducing data transfer AND convergence time, leading to improved PERFORMANCE in face recognition accuracy. This research provides insights for researchers AND practitioners to enhance the efficiency of federated LEARNING in real-world applications.

Automatic topic detection seems unavoidable in social media analysis due to big text data which their users generate. Clustering-based methods are one of the most important AND up-to-date categories in topic detection. The goal of this research is to have a wide study on this category. Therefore, this paper aims to study the main components of clustering-based-topic-detection, which are embedding methods, distance metrics, AND clustering algorithms. Transfer LEARNING AND consequently pretrained language models AND word embeddings have been considered in recent years. Regarding the importance of embedding methods, the efficiency of five new embedding methods, from earlier to recent ones, are compared in this paper. To conduct our study, two commonly used distance metrics, in addition to five important clustering algorithms in the field of topic detection, are implemented by the authors. As COVID-19 has turned into a hot trending topic on social networks in recent years, a dataset including one-month tweets collected with COVID-19-related hashtags is used for this study. More than 7500 experiments are performed to determine tunable parameters. Then all combinations of embedding methods, distance metrics AND clustering algorithms (50 combinations) are evaluated using Silhouette metric. Results show that T5 strongly outperforms other embedding methods, cosine distance is weakly better than other distance metrics, AND DBSCAN is superior to other clustering algorithms.

This study was performed to evaluate the effect of adding a mixture of peppermint, thyme AND rosemary essential oils (EOs) in a ratio of (3:1:2), respectively, to the diet, on growth PERFORMANCE, rumen AND blood parameters of fattening lambs. Twenty-one Mehraban lambs with an average weight of 29.80 kg were rANDomly allocated to one of three diets: 1) control, 2) base diet+1.25ml of EOs AND 3) base diet+2.5ml of EOs. Daily weight gain was greater in the groups receiving the EOs than in the control, although this increase was mainly due to the interactions of treatment over time. Feed consumption AND feed conversion ratio compared to the control did not altered. The total concentrations of VFAs AND acetate in the groups receiving EOs decreased (P<0.05), while the concentration of propionate increased (P<0.05) at the level of 2.5ml of EOs AND isovalerate increased (P<0.05) in both levels of EOs compared to the control. Total population of protozoa, rumen pH AND ammonia nitrogen concentration were not affected by treatments. Glucose concentration increased at high level of EOs (P<0.05). Concentrations of urea, cholesterol, triglycerides, creatinine, total protein AND albumin did not altered. The number of red blood cells, hemoglobin, hematocrit, number AND percentage of white cells including lymphocytes AND eosinophils were not affected by treatments but the percentage of monocytes decreased (P<0.05) at low level of the EOs. The results of this experiment showed that the addition of mixture of EOs to the diet did not have a significant effect on PERFORMANCE parameters AND immune system of lambs, although it reduced the total concentration of VFA AND acetate AND increased the concentration of propionate.

In this study, leaming intensity is measured in terms of labor cost savings AND productivity growth through experience, as well as the effects of mergers  AND acquisitions on technology LEARNING using a LEARNING curve AND its effects on the PERFORMANCE of oil, gas AND products companies. Oil listed on the Tehran Stock Exchange will be evaluated.The novelty of this article is to explain the direct AND indirect effects of M&A (mergers  AND acquisitions) in technology LEARNING that leads to the LEARNING curve model with the M&A factor in the oil, gas AND petroleum products It can be seen that traditional LEARNING through experience has not reduced costs by increasing cumulative production in refineries AND petrochemical companies. Economies of scale have also failed to reduce operating costs by increasing production at refineries. LEARNING by research in refining AND petrochemical companies has also reduced operating costs by a year, but is less severe. This study also shows that there is no direct effect of mergers AND acquisitions on technology LEARNING in the combination of refining AND petrochemical companies. In addition, the indirect effects of mergers AND acquisitions on technology LEARNING are seen only in petrochemical companies.

In order to investigate the effect of inorganic selenium replacement with organic selenium from Spirulina algae on PERFORMANCE AND breast meat quality of broilers, a total of 160 one-day-old chicks were used in a completely rANDomized design with four treatments, eight replicates AND five birds per each replicate. The sources of selenium used included sodium selenite AND organic selenium from Spirulina algae which were replaced at two levels of 50 AND 100 percent. The organic selenium was produced by the culture of Spirulina algae AND its enrichment with selenium. The selenium content of different treatments was measured by ICP-Mass method. In this experiment, the feed intake AND body weight gain parameters were measured weekly AND feed conversion ratio was calculated. At 42 day of age, one bird was slaughtered from each replicate AND the weight of carcass ready to cook was measured. The breast meat was sampled for measurement of pH AND selenium storage. The results showed that it was not observed any significant difference in PERFORMANCE traits AND ready to cook carcass percentage among different treatments. There was no significant difference in breast muscle pH at 0 AND 24 hours after slaughtering. The amount of selenium deposited in breast muscle of birds fed organic selenium had significant increase when compared with other treatments (P<0.05). Generally, the results of this study showed that 100% replacement of sodium selenite with organic selenium from Spirulina algae led to increase in breast muscle selenium deposition without reduction in bird PERFORMANCE.

The study objective was to evaluate the effects of reducing dietary starch content in fresh cow diets while maintaining NDF levels by substituting barley grain (BG), corn silage (CS), or both with beet pulp (BP) on DMI, lactation PERFORMANCE, serum mineral AND metabolites concentrations, liver enzymes AND liver functionality index (LFI), serum insulin AND revised quantitative insulin sensitivity check index (RQUICKI). Thirty-six multiparous cows were rANDomly assigned to 1 of 4 experimental diets from calving to 21 days in lactation. Experimental diets were a high-starch diet with ground BG (CO; 24.9% starch; 0% BP) AND 3 low-starch diets where BP substituted for either BG (BB; 19.6% starch; 7% BP), CS (BC; 20.6% starch; 12% BP) or CS AND BG (BCB; 20.3% starch; 12% BP). Relative to CO cows (16.50 kg/d), DMI was greater for BC (17.70 kg/d) AND BCB (17.50 kg/d) cows, but it was lesser in BB (15.60 kg/d) cows. Similar to DMI results, milk yields tended to be greater for BC (37.89 kg/d) AND BCB cows (37.81 kg/d) compared to CO cows (35.41 kg/d), but BB cows (33.05 kg/d) tended to produce less milk than CO cows. Relative to CO, cows fed BB had lower serum glucose concentrations, whereas cows fed BC AND BCB had higher serum glucose. Serum insulin concentrations were lower for BB cows than for other exprimental groups. Relative to CO, serum NEFA AND BHB concentrations were lower for BC AND BCB, but was similar between BB AND CO. The RQUICKI was lower for CO, BC cows than BB cows, AND cows in BCB tended to have less RQUICKI compared to BB during postpartum. The concentrations of gamma glutamyl transferase were lower in BC AND BCB cows relative to CO AND BB cows. The cows fed CO AND BB had higher serum bilirubin relative to cows fed BC AND BCB diets. Although, LFI for CO cows was similar to cows on BB, BC AND BCB, BC cows had higher LFI than BB cows AND tended to have greater LFI than CO cows. Overall, reducing dietary starch by replacing CS (BC) or a mix of CS AND BG (BCB) with BP positively affected DMI AND milk yield AND indicated improved energy metabolism AND liver function during the first 21 d of lactation compared to when BP was fed instead of BG to reduce starch (BB).

In this experiment, the effect of garlic (GP) AND tomato (TP) powders on PERFORMANCE, blood parameters, sex differentiation AND hatchability of Ross-308 broiler breeders were examined AND compared with In-Ovo injection of garlic or tomato hydroalcoholic extracts. In first experiment, 375 hens AND 25 roosters (47 wk.) were rANDomly allocated to 5 treatments AND 5 replicates, for 4 weeks. Treatments included: 1) basal diet (control), 2 AND 3) basal diet+ 2 AND 4 percent of GP, AND 4 AND 5) basal diet + 2 AND 4 percent of TP, respectively. In second experiment, 200 hens AND 20 roosters were rANDomly allocated to 2 treatments including 1) basal diet AND 2) basal diet + 4% of TP (selected treatment of the Exp. 1) in 5 replications from 52-56 wk. During incubation period, experimental treatments included: 1) control group, 2) eggs from hens fed 4% TP, 3) In-Ovo injection of physiological serum AND 4 AND 5) In-Ovo injection of 0.1 AND 0.3 ml of garlic AND tomato hydroalcoholic extracts. The results of first experiment, adding garlic AND tomato powders was not significant on egg qualitative traits AND blood parameters (P>0.05). All In-Ovo injection treatments increased fertility percentage (P<0.05). The second experiment results showed that treatments had no significant effect on the percent of males AND females (P>0.05). In general, addition of 4 percent tomato powder to broiler breeders in comparison to In-Ovo injection of hydroalcoholic extracts of garlic AND tomato, did not increase male 1-d-old chicks’ percentage of hatched chicks.

In this study, chemical compositions of black seed meals samples were determined. 18 male weaning ZANDi lambs with an average body weight of 23.5 ±1.5 kg were used in a completely rANDomized design in three groups of six in individual pens. Experimental treatments were: 1) control (basal diet with 12% soybean meal AND without black seed meal), 2) diet containing 6% soybean meal AND 9% black seed meal AND 3) diet containing 18% black seed meal AND without soybean meal. The concentration of dry matter, crude protein, crude fat, NDF, ADF, ADIN, AND crude ash of black seed meal samples were 97.53±0.58, 31.26±0.99, 15.16 ± 0.61, 25.95 ± 1.34, 14.2±0.80, 0.69±0.04 AND 5.07 ± 0.24, respectively. Replacement of soybean meal with black seed meal in the diet of experimental lambs had no effect on final body weight, daily weight gain, feed conversion ratio, dry matter intake, dressing percentage, tail AND total body fat deposition. Albumin AND total protein were higher for lambs fed by diet containing 18 % black seed meal compared to other treatments (P <0.05). However, the concentration of blood triglyceride, cholesterol AND urea nitrogen were not differed between experimental groups. The digestibility of dry matter, organic matter, crude fat AND protein were not affect by feeding of experimental diets. It seems that black seed meal can be used in the diet of fattening lambs up to 18% without adverse effect on PERFORMANCE AND nutrients digestibility of growing lambs.