• Title/Summary/Keyword: SEASONAL PATTERN

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Seasonal Occurrence of Japanese Gall-forming Thrips, Ponticulothrips diospyrosi Haga et Okajima, and Its Damage Pattern (감관총채벌레(Ponticulothrips diospyrosj)의 발생소장과 피해 양상)

  • 신원우;이흥수;이규철;박정규
    • Korean journal of applied entomology
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    • v.43 no.2
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    • pp.103-109
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    • 2004
  • Seasonal occurrence of Japanese gall-forming thrips, Ponticulothrips diospyrosi Haga et Okajima, and its damage pattern on leaves and fruits were studied at sweet persimmon orchards in Gimhae (orchard A, B) and Changwon, Gyeongnam. Korea in 2002 and 2003. Monitoring adults by yellow sticky traps and inspecting each developmental stage in damaged rolled-leaves revealed that the overwintered adults moved to sweet persimmon orchard from late April to late May, and oviposited inside the rolled leaves. Adults developed from the eggs showed peak occurrence of the first generation adults in early to mid June. Inspection of rolled leaves indicated that the peak occurrences of eggs, nymphs, and pupae of the first generation took place in early to mid May, late May to early June, and early June, respectively. Each developmental stage showed the second small peaks in the late season. Results suggest that most thrips live a single generation per year, but a small portion may develop to the second generation in persimmon orchards. The percent of damaged leaves was highest in Changwon orchard at 9.7% in early June. Percentage of damaged fruits increased from 0.84% in early June to 30.2% in early September in Gimhae B orchard. It was found that the closer the persimmon trees were to the edge of the orchard, the worse damaged the leaves were. Appropriate timing for incorporation of control measures were discussed in relation to the seasonal occurrence of adults.

Sales Forecasting Model for Apparel Products Using Machine Learning Technique - A Case Study on Forecasting Outerwear Items - (머신 러닝을 활용한 의류제품의 판매량 예측 모델 - 아우터웨어 품목을 중심으로 -)

  • Chae, Jin Mie;Kim, Eun Hie
    • Fashion & Textile Research Journal
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    • v.23 no.4
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    • pp.480-490
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    • 2021
  • Sales forecasting is crucial for many retail operations. For apparel retailers, accurate sales forecast for the next season is critical to properly manage inventory and plan their supply chains. The challenge in this increases because apparel products are always new for the next season, have numerous variations, short life cycles, long lead times, and seasonal trends. In this study, a sales forecasting model is proposed for apparel products using machine learning techniques. The sales data pertaining to outerwear items for four years were collected from a Korean sports brand and filtered with outliers. Subsequently, the data were standardized by removing the effects of exogenous variables. The sales patterns of outerwear items were clustered by applying K-means clustering, and outerwear attributes associated with the specific sales-pattern type were determined by using a decision tree classifier. Six types of sales pattern clusters were derived and classified using a hybrid model of clustering and decision tree algorithm, and finally, the relationship between outerwear attributes and sales patterns was revealed. Each sales pattern can be used to predict stock-keeping-unit-level sales based on item attributes.

Relationship Between Seasonal Dynamics of Zooplankton Community and Diversity in Small Reservoir Focusing on Occurrence Pattern (출현 양상 기반 소형호 내 동물플랑크톤 군집의 계절 변동과 다양성 관계)

  • Geun-Hyeok Hong;Hye-ji Oh;Yerim Choi;Jun-Wan Kim;Beom-Myeong Choi;KwangHyeon Chang;Min-Ho Jang
    • Korean Journal of Ecology and Environment
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    • v.56 no.2
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    • pp.172-186
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    • 2023
  • Small ponds, which exhibit unstable succession pattern of plankton community, are less well studied than large lakes. Recently, the importance of small ponds for local biodiversity conservation has highlighted the necessity of understanding the dynamics of biological community. In the present study, we collected zooplankton from three small reservoirs with monthly basis and analyzed their seasonal dynamics. To understand the complicated zooplankton community dynamics of small reservoirs, we categorized zooplankton species into four groups (LALF Group, Low Abundance Low Frequency; LAHF Group, Low Abundance High Frequency; HALF Group, High Abundance Low Frequency; HAHF Group, High Abundance High Frequency) based on their occurrence pattern (abundance and frequency). We compared the seasonal pattern of each group, and estimated community diversity based on temporal beta diversity contribution of each group. The result revealed that there is a relationship between groups with the same abundance but different occurrence frequencies, and copepod nauplii are common important component for both abundance and frequency. On the other hand, species included with LALF Group throughout the study period are key in terms of monthly succession and diversity. LALF Group includes Anuraeopsis fissa, Hexarthra mira and Lecane luna. However, groups containing species that only occur at certain times of the year and dominate the waterbody, HALF Group, hindered to temporal diversity. The results of this study suggest that the species-specific occurrence pattern is one key trait of species determining its contribution to total annual biodiversity of given community.

Distribution Pattern of Soil Actinomycetes on the Seasonal Change (계절에 따른 토양 방선균의 속 다양성 분포)

  • Park, Dong-Jin;Lee, Sang-Hwa;Park, Sang Ho;Kim, Chang-Jin
    • Korean Journal of Microbiology
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    • v.34 no.3
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    • pp.149-153
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    • 1998
  • From soils seasonally collected at two depths (0~2 cm, $50{\pm}1cm$) of forest, field, grass land, or paddy field, distinct strains of actinomycetes were isolated and identified to the genus level. The genus-diversity of soil actinomycetes was revealed to be considerably different by seasonal change. It was also affected by soil depths, soil types, or actinomycete groups. At the soil depth of 0~2 cm, the seasonal distribution fluctuation (%) of streptomycete strains was higher in grass land (41%), field (39%) soil than paddy field (18%), or forest (18%), whereas that of streptomycete strains at the soil depth of $50{\pm}1cm$ was high in order of paddy field (36%), field (28%), grass land (26%), and forest (16%). On the other hand, the seasonal distribution fluctuation ratio of rare actinomycete strains at the soil depth of 0~2 cm was above 45% except for paddy field (26%). At the soil depth of $50{\pm}1cm$, the seasonal distribution of rare actinomycete strains exhibited high fluctuation (%) in order of forest (79%), paddy field (36%), field (24%), and grass land (10%).

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Seasonal Variation Characteristics of Zostera marina L. in HAENAM SAGUMI on the Southern Coast of Korea (해남 사구미 연안 거머리말(Zostera marina L.)의 계절특성)

  • Ok, Jae Seung;Lee, Sang Yong;Shin, Kyung Hoon;Kim, Hi Joong
    • Korean Journal of Ecology and Environment
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    • v.46 no.4
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    • pp.513-523
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    • 2013
  • This ecological study was conducted to analyze seasonal variation characteristics of Zostera marina at HAENAM SAGUMI on the Southern Coast of Korea. Environmental characteristics, plant morphological characteristics, shoot density, biomass, and leaf production were monitored from August 2008 to March 2011. Zostera marina occurred in the subtidal zone from 0 to 2.5 m below the mean low water level. Water temperature showed a clear annual pattern, with increase in spring and summer, and decreases in fall and winter. Irradiance showed seasonal variation, even though daily weather condition has short-term variation in the incident irradiation. Plant morphological characteristics, shoot density, biomass, and leaf production showed clear seasonal variation. Seasonal variation in the above biomass of Zostera marina was mainly caused by changes in shoot length. We found that there are correlations between environmental characteristics (water temperature, irradiation) and the growth of Zostera marina. There is stronger correlation between water temperature and the growth of Zostera marina, compared to the correlation between irradiation and the growth of Zostera marina. In particular, the growth of Zostera marina is inhibited by both higher and lower water temperature.

A Study on High-Resolution Seasonal Variations of Major Ionic Species in Recent Snow Near the Antarctic Jang Bogo Station (남극 장보고과학기지 인근에서 채취한 눈시료 내의 주요 이온성분들의 고해상도 계절변동성 연구)

  • Kwak, Hoje;Kang, Jung-Ho;Hong, Sang-Bum;Lee, Jeonghoon;Chang, Chaewon;Hur, Soon Do;Hong, Sungmin
    • Ocean and Polar Research
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    • v.37 no.2
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    • pp.127-140
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    • 2015
  • A continuous series of 60 snow samples was collected at a 2.5-cm interval from a 1.5-m snow pit at a site on the Styx Glacier Plateau in Victoria Land, Antarctica, during the 2011/2012 austral summer season. Various chemical components (${\delta}D$, ${\delta}^{18}O$, $Na^+$, $K^+$, $Mg^{2+}$, $Ca^{2+}$, $Cl^-$, $SO_4{^2-}$, $NO_3{^-}$, $F^-$, $CH_3SO_3{^-}$, $CH_3CO_2{^-}$ and $HCO_2{^-}$) were determined to understand the highly resolved seasonal variations of these species in the coastal atmosphere near the Antarctic Jang Bogo station. Based on vertical profiles of ${\delta}^{18}O$, $NO_3{^-}$and MSA, which showed prominent seasonal changes in concentrations, the snow samples were dated to cover the time period from 2009 austral winter to 2012 austral summer with a mean accumulation rate of $226kgH_2Om^{-2}yr^{-1}$. Our snow profiles show pronounced seasonal variations for all the measured chemical species with a different pattern between different species. The distinctive feature of the occurrence patterns of the seasonal variations is clearly linked to changes in the relative strength of contributions from various natural sources (sea salt spray, volcanoes, crust-derived dust, and marine biogenic activities) during different short-term periods. The results allow us to understand the transport pathways and input mechanisms for each species and provide valuable information that will be useful for investigating long-term (decades to century scale periods) climate and environmental changes that can be deduced from an ice core to be retrieved from the Styx Glacier Plateau in the near future.

Seasonal Variations in Populations of Small Fishes Concentrated in Shoalgrass and Turtlegrass (Shoalgrass와 turtlegrass에 棲息하는 小型魚類 個體群들의 季節的 變動에 관한 硏究)

  • Huh, Sung-Hoi
    • 한국해양학회지
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    • v.19 no.1
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    • pp.44-55
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    • 1984
  • Abundances of small fishes that utilized seagrass meadows of Redfish Bay, Texas, were analyzed quantitatively to determine monthly changes of this concentrated subtropical fish community during 1982-1983. an effective quantitative sampler, a 1-㎡ thrown cage, yielded a total of 10,223 fishes that comprised 40 species in 23 families, with average total densities about 15 fishes/㎡ in shoalgrass meadow and 6 fishes/㎡ in turtlegrass meadow. The darter goby, pinfish, code goby, and Gulf pipefish were the four most abundant species, and accounted for approximately 85% of the number of fish collected. However, the two different meadows had different relative abundances of fishes. The darter goby numerically dominated shallower shoalgrass meadow, while the pinfish and code goby were the commonest fishes in deeper turtlegrass meadow. Seasonal changes in both species composition and abundances of fish populations were major characteristics in these subtropical seagrass medows. Peak abundance of total fishes occurred during spring, with a secondary peak in fall. Lowest abundance of total fishes occurred in winter. Each abundant species showed its own seasonal abundance pattern, and had a peak abundance 1-3 months separated from other species, with some overlap of increased larval recruitment. Such distinct seasonal abundance patterns with different times of peak recruitment. Such distinct seasonal abundance patterns with different times of peak recruitment among fish species seem to permit use of the seagrass habitats with reduced, seasonal competition.

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Association of the RORA Gene Polymorphism and Seasonal Variations in Mood and Behavior (RORA 유전자 다형성과 기분 및 행동의 계절성 변동의 연관성)

  • Kim, Hae-In;So, Soo-Jung;Yang, Hee Jung;Song, Hyun Mi;Moon, Joung Ho;Yoon, Ho-Kyoung;Kang, Seung-Gul;Park, Young-Min;Lee, Seung-Hwan;Kim, Leen;Lee, Heon-Jeong
    • Sleep Medicine and Psychophysiology
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    • v.20 no.2
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    • pp.63-68
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    • 2013
  • Objectives: Several evidence has been suggested that the circadian gene variants contribute to the pathogenesis of seasonal affective disorder. In this study, we aimed to investigate the polymorphism in RORA (Retinoid-related orphan receptor A) gene in relation to seasonal variations among healthy young adults in Seoul, Korea. Methods: A total of 507 young healthy adult subjects were recruited by advertisement. Seasonal variations were assessed by the Seasonality Pattern Assessment Questionnaire (SPAQ). Single-nucleotide polymorphism in the RORA rs11071547 gene was genotyped by PCR in 507 individuals. Considering summer type as confounding factor, we conducted analysis 478 subjects except 29 subjects of summer type. The Chi-square test was conducted to compare differences between groups of seasonals and non-seasonals. Association between genotypes and Global Seasonality Score (GSS) were tested using ANCOVA (Analysis of covariance). Results: In this sample, the prevalence of SAD was 12.1% (winter type 9.3%, summer type 2.8%). There is no significant difference in genotyping distribution of RORA rs11071547 between groups of seasonals and non-seasonals. Global seasonality score (GSS) and scores of all subscales except body weight and appetite were not significantly different between the group with C allele homozygote and the group with T allele homozygote and heterozygote (p-value 0.138). Scores of body weight and appetite were significantly higher in group with C allele homozygotes. Conclusion: These results suggest that RORA gene polymorphism play a role in seasonal variations in appetite and body weight and is associated with susceptibility to seasonal affective disorder in some degree in the population studied.

A Numerical Simulation of Residual Current and Material Transportation in Hiroshima Bay, Japan (황도만에서의 잔차류와 물질소송의 수치모형실험)

  • 이인철
    • Journal of Ocean Engineering and Technology
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    • v.15 no.1
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    • pp.45-51
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    • 2001
  • In order to clarify the seasonal variation of the residual current and the material transportation process in Hiroshima Bay, JAPAN, the real-time simulation of residual current and particle tracking by using the Euler-Lagrange model were carried out. The calculated tidal current, water temperature, and salinity showed good agreement with the observed ones. The residual currents showed a southward flow pattern at the upper layer, and a northward flow pattern at the lower layer. The flow structure of the residual current in Hiroshima Bay is an estuarine circulation affected by density flow and wind driven current. The residual current plays an important role of material transportation in the bay.

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