Mitochondrial genomes of three specimens of Gadus chalcogrammus Pallas 1,814 from Korea and Japan were completely analyzed by the primer walking method. They were 16,570~16,571 bp in length, each comprising 13 protein-coding genes, two ribosomal RNA genes, and 22 transfer RNA genes. Their gene orders were identical to those of conspecific specimens, but exhibited unique haplotypes. In the phylogenetic tree, the juvenile Korean and adult Japanese specimens were separated from the dominant clade composed of specimens from Japan, Korea, the Bering Sea, and the Arctic, including the adult Korean specimen.

This experiment was conducted to breed a very early maturing variety of Italian ryegrass (Lolium multiflorum Lam.) in Grassland and Forage Crops Division, National Institute of Animal Science, RDA, Cheonan 2015-2017. The new variety of Italian ryegrass, ‘Green call 2ho’ is a diploid variety with green in leaf color and has semi-erect growth habit in late autumn and erect growth habit in early spring, ‘Green call 2ho’ was in heading date as a early-maturing variety April 24. Also ‘Green call 2ho’ was narrower by 2 mm in flag leaf width, longer by 2.5 cm in flag leaf length and shorter by 3 cm in plant height than those of the control variety, ‘Florida 80’, respectively. ‘Green call 2ho’ was also thicker by 0.33 mm in stem thickness and strong in winter hardness. Dry matter (DM) yield (11,688 kg/ha) of ‘Green call 2ho’ was 7% higher than that of ‘Florida 80’. Total digestible nutrient (TDN), crude protein (CP) and relative feed value (RFV) of ‘Green call 2ho’ were 61.3 %, 9.8 % and 98.2, respectively which are 2.6, 0.6, and 8.4 % higher, respectively than those of ‘Florida 80’, respectively. Acid detergent fiber (ADF) and neutral detergent fiber (NDF) of ‘Green call 2ho’ were 34.9 and 58.5 % which are 3.3 and 2.7 % lower than those of ‘Florida 80’, respectively.

breakdown of tooth-supporting tissues, producing dentition loss. Porphyromonas gingivalis (P. gingivalis), a Gramnegative anaerobic rod, is one of the major pathogens associated with periodontitis. Neutrophils are first line defense cells in the oral cavity that play a significant role in inflammatory response. Xylitol is a known anti-caries agent and has anti-inflammatory effects. In this study, we conducted experiments to evaluate anti-inflammatory effects of xylitol on P. gingivalis infected neutrophils for possible usage in prevention and treatment of periodontal infections. P. gingivalis was intraperitoneally injected and peritoneal lavage was collected for cytokine determination. For in vitro study, neutrophils were collected from mouse peritoneal cells after zymosan injection or bone marrow cells. Neutrophils were stimulated with live P. gingivalis and ELISA was used to determine the effect of xylitol on P. gingivalis induced cytokine production. IL-1β, IL-6, TNF-α concentration and neutrophil population in the peritoneal lavage was increased in P. gingivalis-infected mouse. Peritoneal cells infected with live P. gingivalis revealed significantly increased production of IL-1β, IL-6 and TNF-α at multiplicity of infection of 10. Neutrophils from bone marrow and peritoneal lavage revealed increased production of IL-1β, IL-6 and TNF-α. Xylitol significantly mitigated P. gingivalis induced cytokine production in neutrophils. Findings indicate that xylitol is an anti-inflammatory agent in neutrophils infected with live P. gingivalis, that suggests its use in periodontitis management.

Introduction Although hotel employees are trained to deliver the best service, service failures may happen at any time because service is delivered by people to people (Susskind, 2002). Moreover, customers are more impressed by failed services than good services (Titz, 2001). According to the recovery paradox, customers have higher satisfaction level after experiencing a service failure if they receive satisfactory service recovery or compensation (McCollough & Bharadwaj, 1992). With the development of information communication technology and mobile device, customers can receive personalized services in recent days (Migacz, Zou, & Petrick, 2018). They also can easily share their experience on the online review platforms such as TripAdvisor, as well as select hotels based on shared online reviews (Liu & Park, 2015; Nieto-Garaía, Muñoz-Gallego, & González-Benito, 2017). Therefore, it is important for hotel managers to understand the mechanisms for service failure and recovery strategy. Thus, this study aims to examine the relationship between different emotion, customer engagement and brand loyalty under the context from the luxury hotels in China that different service failure compensation strategies are adopted. Particularly, the following two research questions are aimed to be addressed: First, do emotions (anger, regret and helplessness) significantly affect hotel brand loyalty through customer engagement? Second, does compensation type (immediate vs. delayed) significantly affect customer engagement and hotel brand loyalty based on customers’ emotions? The results of this study will benefit industry practitioners for formulating effective service failure recovery strategies. Theoretical frameworks and hypotheses development Stimulus-Organism-Response framework Stimulus-Organism-Response (S-O-R) framework is a commonly used form of behavioral research in which events or occurrences are said to be the result of certain stimulus leading to a certain response, following a set of organism processes (Kim & Lennon, 2013; Mehrabian & Russell, 1974). In behavioral research, the S-O-R theory explains “how” something happens and a variance theory describes “why” (Chiles, 2003). We adopted the S-O-R framework in an attempt to explain the effect of the compensation types (immediate vs. delayed) on hotel brand loyalty. In our research model, customer engagement is used an intervening construct on the causal relationship between emotions of customer (anger and regret as a retrospective emotions, helplessness as a prospective emotion) (Gelbrich, 2010) and hotel brand loyalty. Customer engagement is composed of multidimensional concepts of identification, enthusiasm, attention, absorption, and interaction (So, King, & Spark, 2014). Our model thus explains four basic processes of relationship impact on service failure as “stimulus”, emotions and customer engagement as “organism”, and hotel brand loyalty as “response”. This study also emphasizes compensation type as “moderator”. The model shows how to enhance the understanding of emotions that affect hotel brand loyalty through customer engagement based on the moderating effect of compensations type. Customer engagement It is important for a firm to manage customers to improve a firm’s performance. Customer management has transformed from customer transactions, to relationship marketing, and then engaging customers (Pansari and Kumar 2017). There are different definition about customer engagement and most of them define customer engagement as the activity of the customer toward the firm. For example, Pansari and Kumar (2017) define customer engagement as how customer contributes to the firm by “the mechanics of a customer’s value addition to the firm, either through direct or/and indirect contribution.” Vivek et al. (2012) define customer engagement as “the intensity of an individual’s offerings or organizational activities, which either the customer or the organization initiates” (p.127). It has been discussed that customer engagement has been affected by customer emotion and also has significant impact on behaviour intention and brand loyalty. However it has not been discussed under service failure context and when different types of compensation strategies are employed. This study therefore aims to explore this mechanics. Under hospitality context, So, King and Sparks (2014) develop five factors to measure customer engagement: identification, enthusiasm, attention, absorption, and interaction. Since this study also examine hotel guest customers, we adopt the scale of So et al. (2014) due to its comprehensiveness and consistent context. Service failure and emotion Customer emotion is an important antecedent of customer engagement. Currently firms have been shifted their focus from selling products to emotional connection with their customers (Pansari and Kumar 2017). Positive emotion may enhance customer engagement and thereby improve customer loyalty. But when service failure occurs, customers have different negative emotions including anger, frustration, helplessness, regret amongst others. These negative emotions of customers disappoint customers themselves and reduce customer loyalty. Different emotions may have different impact on customer engagement. Anger often refers to the attributes of others such as the service providers (Weiner, 1985) whereas regret often refers to the service failure locus of customer himself/herself such as the customer is regret to choose this service provider (Roseman, 1991). Both anger and regret refer to retrospective emotions and when customer would like to solve questions they may also negative emotion of helplessness which is called prospective emotions (Davidow, 2003; Gelbrich, 2010). This study aims to examine and differentiate the impact of two retrospective emotions of anger and regret and one prospective emotions of helplessness. The first hypothesis is therefore proposed: H1: Anger has negative impact on customer engagement. H2: Regret has negative impact on customer engagement. H3: Helplessness has negative impact on customer engagement. Service failure compensation Though service providers aim to deliver zero fault service, it is inevitable service failure may occur that may bring customers anger and dissatisfaction and damage the customer loyalty thereby. It is found that compensation is an effective way to comfort and delight the dissatisfied customers. Therefore, it is important to formulate effective compensation strategy when service failure occurs. Different compensation strategies such as monetary or nonmonetary (Fu et al. 2015), immediate or delayed compensation (Boshoff, 1997; Davidow, 2003), may be suitable to different contexts/situations. According to prospect theory, a customer is risk-reverse in case of gains. A customer may value products available now more than products obtained in the future due to the higher certainty of the former. Similarly, immediate compensation has less uncertainty than delayed compensation, and therefore is supposed to have higher value. Therefore customers with anger are assumed to have higher customer engagement when immediately compensated. On the other hand, regret customers attribute failure to himself/herself and therefore less expect compensation. The immediate compensation may lead to unfair and thereby less effect than delayed compensation. Therefore immediate compensation may not always be superior over the delayed one under different contexts. We therefore propose the second hypothesis: H1a: Compensation type (immediate vs. delayed) moderates the relationship between anger and customer engagement. H2a: Compensation type (immediate vs. delayed) moderates the relationship between regret and customer engagement. H3a: Compensation type (immediate vs. delayed) moderates the relationship between helplessness and customer engagement. Brand loyalty Brand loyalty refers to the loyalty of a customer toward the brand both behaviourally and attitudinally (Dick and Basu 1994; Li and Petrick 2008; So, King, Sparks, and Wang 2013). It is a key goal of marketing activities, and its antecedents have been extensively examined such as satisfaction, perceived quality, received value, and brand trust, amongst others. Customer engagement, as the activity of a customer toward to a firm, is naturally viewed to influence brand loyalty. This study therefore adopts brand loyalty as the consequence of customer engagement. Furthermore, we would like to examine if compensation types have moderating effect between customer engagement and brand loyalty. We therefore propose below two hypotheses: H4: customer engagement has positive impact on brand loyalty. H4a: Compensation type (immediate vs. delayed) moderates the relationship between customer engagement and brand loyalty. The research model is shown in Figure 1 where all hypotheses are demonstrated. Our research model is developed based on the S-O-R framework in which emotions are antecedent of customer engagement, and customer engagement impacts hotel brand loyalty. This research model also shows the moderating effects of compensation types has on causal relationships between the aforementioned constructs. Methodology Scenario design Scenario based questionnaire is designed to obtain quantitative data for analysis. Based on the interview with hotel managers/operators, one service failure scenario and two compensation scenarios (immediate and delayed) are designed. In-depth interviews with a couple of hotel managers and guests were conducted to verify the realisation of the scenarios formulated. The questionnaire begins with a screening question: in the previous 12 months have you ever had experience staying in a four- or five-star hotel? The survey would only continue if the answer is “yes”. Then the participant is asked to write down the name of this hotel and read the below service failure scenario thereby. Service failure scenario: Imagine you have checked into this hotel again. During your stay in hotel, you send your coat for laundry. It is a nice coat and you bought it a year ago with the price of 1000RMB. However when you collect the cleaned coat, you notice that there is a damage on your coat which makes you cannot dress this coat anymore. You therefore call the service counter for complain. Immediate and delayed compensation scenarios were designed as follows: Immediate compensation scenario: after 15 minutes, the duty manager of the hotel went to our hotel and expressed his sincere apology. You showed him about the damage and informed him the original price of your coat. The manager offered you the cash compensation with the original price of your coat and you agree with this. After half an hour you received 1000RMB cash as the compensation. Delayed compensation scenario: after 15 minutes, the duty manager of the hotel went to your room and expressed his sincere apology. You showed him about the damage and informed him the original price of your coat. The manager said according to the hotel policy, they need to check how this happened and confirm the price of your coat first before making the compensation for you. After two weeks you left the hotel, you received 1000RMB compensation which is transferred into your bank account directly. Participant emotion is measured after the participants read the service failure scenario and before they read the compensation scenario. Each participant is randomly assigned to be involved in one compensation scenario only. Customer engagement and hotel brand loyalty are measured after the compensation happened. Variable measurement Customer engagement is measured using 25-item scale developed by So et al. (2014) in which five factors are involved: identification, enthusiasm, attention, absorption, and interaction. Particularly, identification is measured by four attributes: “When someone criticizes this brand, it feels like a personal insult”, “When I talk about this brand, I usually say we rather than they”. “This brand’s successes are my successes”. “When someone praises this brand, it feels like a personal compliment”. Enthusiasm is measured by five attributes: “I am heavily into this brand”. “I am passionate about this brand” “I am enthusiastic about this brand” “I feel excited about this brand” “I love this brand”. Attention is measured by five attributes: “I like to learn more about this brand” “I pay a lot of attention to anything about this brand” “Anything related to this brand grabs my attention” “I concentrate a lot on this brand” “I like learning more about this brand” . Absorption is measured by five attributes: “When I am interacting with the brand, I forget everything else around me” “Time flies when I am interacting with the brand” “When I am interacting with brand, I get carried away” “When interacting with the brand, it is difficult to detach myself” “In my interaction with the brand, I am immersed” “When interacting with the brand intensely, I feel happy”. Interaction is measure by five attributes: “In general, I like to get involved in brand community discussions” “I am someone who enjoys interacting with likeminded others in the brand community” “I am someone who likes actively participating in brand community discussions” “In general, I thoroughly enjoy exchanging ideas with other people in the brand community” “I often participate in activities of the brand community”. Three emotion of anger, regret and helplessness are included as the measurement of emotion. Particularly, according to Gelbrich (2010), three attributes are adopted to measure anger “I would feel angry with the hotel/hotel employees”, “I would feel mad with the hotel/hotel employees”, and “I would feel furious about the hotel/hotel employees”. Three statements are employed to measure regret (Tsiros & Mittal 2000): “I would feel sorry for choosing this hotel”, “I regretted choosing this hotel”, and “I should have chosen another hotel”. Four statements are used to measure helplessness (Gelbrich 2010): “I would feel helpless”, “I would feel lost”, “I would feel defenceless”, and “I would feel stranded.” Five statements are used to measure brand loyalty (So, King, Sparks, & Wang 2013): “I would say positive things about this brand to other people.” “I would recommend this brand to someone who seeks my advice.” “I would encourage friends and relatives to do business with this brand.” “I would consider this brand my first choice to buy services.” “I would do more business with this brand in the next few years.” A seven-point Likert scale ranging from 1 (=disagree strongly) to 7 (=agree strongly) is adopted for all measurement. Data collection and analysis method In-depth interview with managers from upscale hotels and customers will be used to finalize scenarios. Opinions of academic experts will be used to revise variable measurements and questionnaires. Convenience sampling method will be adopted to obtain about 400 respondents who has experience of staying at four- or five-stars hotels in China in the previous year. Regarding with data analysis, Partial least square structural equation modelling (PLS-SEM) is used to test the hypotheses proposed. Expected results The manipulation check has been conducted to verify the scenarios designed. The negative relationship between emotions and customer engagement are expected and compensation timing (delayed or immediate) may moderate this relationship. Most importantly, it is expected that this moderating effect varies when different emotions and customer engagement are examined. Contributions The theoretical contributions have three folders. Firstly, this study first considers compensation timing into the examination of relationship between different negative emotions and customer engagement, after service failure occurs. Secondly, this study adopts stimulus-organism-response theory to explore the mechanism how service failure could be well recovered by relationships of different negative emotions, effective compensation type, customer engagement, and brand loyalty. Thirdly, this study applies second order factor for the measurement of customer engagement and also divides negative emotions into retrospective and prospective ones to shed light on customer engagement in the context of service failure and compensation. The practical implication of this study will benefit industry practitioners for their formulation of compensation strategies. Especially as the development of big data, hotel industry is able to adopt different strategies for individuals to maximize customer experience. The findings of this study could propose different strategies for different situations/individuals thereby.

Background: Periodontitis is an inflammatory disease characterized by the breakdown of tooth-supporting tissues, leading to tooth loss. Aggregatibacter actinomycetemcomitans are major etiologic bacterium causing aggressive periodontitis. Ursodeoxycholic acid (UDCA), a hydrophilic gall bladder acid, has been used as an effective drug for various diseases related to immunity. The aim of this study was to investigate the effect of UDCA on the inflammatory response induced by A. actinomycetemcomitans. Methods: A human acute monocytic leukemia cell line (THP-1) was differentiated to macrophage- like cells by treatment with phorbol 12-mystristate 13-acetate (PMA) and used for all experiments. The cytotoxic effect of UDCA was examined by MTT assay. THP-1 cells were pretreated with UDCA for 30 min before A. actinomycetemcomitans infection and the culture supernatant was analyzed for various cytokine production by ELISA. The effect of UDCA on bacterial growth was examined by measuring optical densities using a spectrophotometer. Results: UDCA showed no cytotoxic effect on THP-1 cells, up to 80 μM Ed highlight: Please confirm technical meaning. UDCA pretreatment inhibited the A. actinomycetemcomitansinduced IL-1β, TNF-⍺, and IL-17A secretion in a dosedependent manner. UDCA also inhibited IL-21 production at 60 μM. The production of IL-12 and IL-4 was not influenced by A. actinomycetemcomitans infection. Conclusion: These findings indicate that UDCA inhibits the production of inflammatory cytokines involved in innate and Th17 immune responses in A. actinomycetemcomitansinfected THP-1- derived macrophages, which suggests its possible use for the control of aggressive periodontitis.

Background: Periodontitis is generally a chronic disorder characterized by the breakdown of tooth-supporting tissues. P. gingivalis, a Gram-negative anaerobic rod, is one of the major pathogens associated with periodontitis. Frequently, P. gingivalis infection leads to cell death. However, the correlation between P. gingivalis–induced cell death and periodontal inflammation remains to be elucidated. Among cell deaths, the death of immune cells appears to play a significant role in inflammatory response. Thus, the aim of this study was to examine P. gingivalis–induced cell death, focusing on autophagy and apoptosis in THP-1 cells. Methods: Human acute monocytic leukemia cell line (THP-1) was used for all experiments. Autophagy induced by P. gingivalis in THP-1 cells was examined by Cyto ID staining. Intracellular autophagic vacuoles were observed by fluorescence microscopy using staining Acridine orange (AO); and 3-methyladenine (3-MA) was used to inhibit autophagy. Total cell death was measured by LDH assay. Cytokine production was measured by an ELISA method. Results: P. gingivalis induced autophagy in an MOI-dependent manner in THP-1 cells, but 3-MA treatment decreased autophagy and increased the apoptotic blebs. P. gingivalis infection did not increase apoptosis compared to the control cells, whereas inhibition of autophagy by 3-MA significantly increased apoptosis in P. gingivalis-infected THP-1 cells. Inhibition of autophagy by 3-MA also increased total cell deaths and inflammatory cytokine production, including IL-1β and TNF-⍺. Conclusion: P. gingivalis induced autophagy in THP-1 cells, but the inhibition of autophagy by 3-MA stimulated apoptosis, leading to increased cell deaths and pro-inflammatory cytokines production. Hence, the modulation of cell deaths may provide a mechanism to fight against invading microorganisms in host cells and could be a promising way to control inflammation.

Interleukin-1b (IL-1β), a proinflammatory cytokine, regulates the innate immune responses against bacterial infection. Mature IL-1β is produced from pro-IL-1β by activated caspase-1, which in turn is activated by the inflammasome complex formation. In this study, we compared the inflammasome mRNA expression induced by S. sanguinis, S. oralis, F. nucleatum and P. intermedia. Among the tested bacteria, S. sanguinis induced the highest IL-1β secretion. S. oralis, F. nucleatum and P. intermedia induced very weak IL-1β secretion. S. sanguinis mostly induced the NLRP3 mRNA expressions. Although F. nucleatum did not induce high IL-1β secretion, it induced high expression levels of AIM2, NLRP2, and NLRP3. No specific inflammasomes were induced by S. oralis and P.intermedia. Studying the inflammasome complex activation induced by oral bacteria may thus enhance our understanding of the pathogenesis of oral diseases.

Rutin (3,3′,4′,5,7-pentahydroxyflavone-3-rhamnoglucoside) is a bioactive flavonoid from the plant kingdom. Rutin has been studied as potential anticancer agent due to its wide range of pharmacological properties including antioxidative, anti-inflammatory and anticancer. Autophagy is a conserved intracellular catabolic pathway to maintain cell homeostasis by formation of autophagosome. Processing of autophagy involves various molecules including ULK1 protein kinase complex, Beclin-1–Vps34 lipid kinase complex, ATG5, ATG12, and LC3 (light chain 3). Cargo-carried autophagosomes fuse with lysosomes resulting in autophagolysosome to eliminate vesicles and degrade cargo. However, the actions of rutin on autophagy are not clearly understood. In this study, we analyzed the effect of rutin on autophagy and inflammation in cancer cell lines. Interestingly, rutin induced autophagy in leukemia (THP-1), oral (CA9-22), and lung (A549) cell lines. TNF-α, key modulator of inflammation, was upregulated by inhibition of rutin-induced autophagy. Taken together, these data indicated that rutin induced autophagy and consequently suppressed TNF-α production.

Aggregatibacter actinomycetemcomitans is an important pathogen in the development of localized aggressive periodontitis. Lipopolysaccharide (LPS) is a virulent factor of periodontal pathogens that contributes to alveolar bone loss and connective tissue degradation in periodontal disease. Our present study was designed to investigate the cytokine expression and signaling pathways regulated by A. actinomycetemcomitans LPS (Aa LPS). Cytokine gene expression profiling in RAW 264.7 cells was performed by microarray analyses. The cytokine mRNA and protein levels and related signaling pathways induced by Aa LPS were measured by RT-PCR, ELISA and western blotting. Microarray results showed that Aa LPS strongly induced the expression of NF-κB, NF-κB-related genes, inflammatory cytokines, TNF-α and IL-1β in RAW 264.7 cells. NF-κB inhibitor pretreatment significantly reduced the levels of TNF-α and IL-1β mRNA and protein. In addition, the Aa LPS-induced TNF-α and IL-1β expression was inhibited by p38/JNK MAP kinase inhibitor pretreatment. These results show that Aa LPS stimulates TNF-α and IL-1β expression through NF-κB and p38/JNK activation in RAW 264.7 cells, suggesting the essential role of this pathway in the pathogenesis of localized aggressive periodontitis.

The presence of distinct bacterial species is found to be dependent on age, diet, and disease. We compared the detection rate of several oral bacterial strains in a cohort of 36 subjects including healthy volunteers, periodontal patients, and oral cancer patients. Gargling samples were obtained from these subjects from which DNA was then extracted. Specific primers for 29 bacterial species were used for PCR detection. In the oral cancer patients, Capnocytophaga ochracea, Gemella morbillorum, and Streptococcus salivarius were detected more frequently compared with the healthy volunteers and periodontitis patients. Fusobacterium nucleatum/ polymorphym and Prevotella nigrescens were significantly less prevalent in oral cancer patients than the other groups. In periodontitis patients, Porphyromonas gingivalis and Treponema denticola were more frequently found compared with the healthy volunteers. In the healthy volunteer group, Peptostreptococcus anaerobius was more frequently found than the other groups. The detection rate of several oral bacterial species was thus found to differ between healthy volunteers, periodontitis patients and oral cancer patients.

Xylitol is a five-carbon sugar alcohol that reduces the incidence of caries by inhibiting the growth of oral streptococci, including Streptococcus mutans. Since xylitol is transported via the fructose phosphotransferase system, we hypothesized that it could also affect the growth of other oral bacteria strains. We tested the effects of xylitol against non-periodontopathogenic oral bacteria frequently found in healthy subjects as well as periodontopathogens including Porphyromonas gingivalis, Treponema denticola, and Tannerella forsythia. With 5% xylitol, Streptococcus vestibularis and Gemella morbillorum showed marked growth inhibition. With 10% xylitol, all of the tested periodontopathogens and Actinomyces naeslundii showed marked growth inhibition, whereas the growth inhibition of Neisseria mucosa, Neisseria sicca and Veillonella parvula was mild only. Xylitol is a widely used sweetener and the concentration used in our experiment is easily achieved in the oral cavity. If xylitol reduces the growth of periodontopathogens more preferentially, it could also reduce the prevalence of these pathogens and have clinical utility in the prevention or treatment of periodontal disease.

The purpose of this study was to investigate perceived health status, activities of daily living and depression of the elderly in nursing facil˗ ities and to identify correlations among them. The collected data is to improve healthy life for the aged people in communities. This study was performed by using of questionnaire which was consisted of perceived health status, activity of daily living(ADL) and depression. The survey was conducted by 180 aged people at nursing homes. The results of perceived health status show that 64.9% of elderly feel very bad or bad, 61.6% of elderly have a degree of independent level of activity of daily living(ADL) and 48.6% of elderly have a degree of depression. There were statically revealed meaningful correlation between ability of activity of daily living(ADL) and perceived health status, ability of activity of daily living(ADL) and depression. This study about connection among perceived health status, activity of daily living(ADL) and depression is necessary for number of the affil˗ iation function of elderly at nursing homes and development of inter˗ vention programs concerned about depression are necessary.

Plant height of 'Composite 28' was 89㎝ and heading date was on 4 May with green leaf color and showed high yield among three composite lines. A visual score of winter field survival of 'Composite 28' was 1.0. 1st dry matter yield of 'Composite 28' in Cheonan was 8.64ton per ㏊ compared to introduced variety 'Amba'(7.20ton/㏊). Heading date of 'Composite 28' was 7 days earlier than check variety, 'Amba'.