• Journal of Korean Society of Forest Science
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• v.76 no.3
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• pp.249-255
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• 1987

Forestry as with all land matters, under the Constitution, is a State matter. Thus the States, numbering 14, have considerable autonomy in decisions on forestry and related matters. However, the Federal Government, having jurisdiction over such issues as defence, education and research, endeavours to coordinate, standardise and advise the States on matters where the States have jurisdiction. However, forestry being a major revenue earner, is jealously guarded by the States. Under such circumstances and recognising the interdependencies of impacts of decisions at the State level, the institutional organisations play an important role in coordinating state activities to ensure that the benefits to the country as a whole are not sacrificed in favour of interests of individual state. Various legislative mechanisms have been established to ensure this coordinated effort. A National Forestry Council forms the apex of national political coordination. The Federal Forestry Department is responsible for coordination of developmental activities at the State level, which are implemented be the State Forestry Departments within Peninsular Malaysia. Research is carried out centrally by the Forest Research Institute of Malaysia(FRIM), a statutory body formed in 1985 from a research division of the Forestry Department. The Stares of Sabah and Sarawak have their own Forestry Departments, independent of the Federal Department, and each with its own research unit independent of FRIM. Tertiary education in forestry is the sole responsibility of the Agricultural University at Serdang with a campus for Diploma level training in Sarawak. In the developmental area in the State of Sabah, institutions have been formed to focus on specific areas of activities. The Sabah Foundation is responsible for the long term development of the State forests with a concession of about one million ha. Sabah Forest Development Authority(SAFODA) was formed to carry out reforestation of denuded areas. Sabah Forest Industries Ltd.(SFI) is responsible for the country's only integrated pulp and paper industry with its own afforestation program to support its resource supply. In Peninsular Malaysia various states have established State Corporations to manage large "sustained yield" concessions. While wildlife and state parks are managed by the respective forestry departments in Sabah and Sarawak, it is the responsibility of a separate department in Peninsula Malaysia called the Department of Wildlife and National Parks(under the Ministry of Science, Technology and Environment). Timber trade legislation and promotion in the Peninsular is the responsibility of the Malaysian Timber Industries Board(MTIB) for Peninsular Malaysia and the Sarawak Timber Industries Development Corporation(STIDC) in Sarawak. In the area of NGOs ; the Institute of Foresters Malaysia, is the professional body of forestry in the country. A Malaysian Forestry Society caters for the public participation and interest. Other environmentally related NGOs such as the Malayan Nature Society, the Environmental Protection Society, World Wildlife Fund, Friends of the Earth and the Consumers Associations also involve themselves in specific forestry activities. A number of timber trade associations are also formed by the private sector to assist the industries.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.121-123
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• 2011

The accuracy of GPS varies depending on the number of GPS satellites and is declined in GPS interfering spot such as around forest or buildings. This paper proposes a localization improvement algorithm in GPS interfering spot by integrating information of multiple sensors in smartphone. The proposed algorithm is implemented in smartphone and the performance is evaluated in campus area.

• Microbiology and Biotechnology Letters
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• v.50 no.1
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• pp.40-50
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• 2022

The Périgord black truffle (Tuber melanosporum) is an edible fungus and among the most expensive foods worldwide. It is the basis of a multimillion-dollar bio-business. Truffle farming does not exist in Mexico, and no formal studies have been conducted on its culture. This report describes the mycorrhizal synthesis (i.e., artificial union of fungus with host) of T. melanosporum with oak species native to Mexico (Quercus polymorpha, Q. fusiformis, and Q. canbyi). The mycorrhizal association was successful in Q. polymorpha and Q. fusiformis, as confirmed morphologically and using T. melanosporum molecular primers (ITSML/ITS4LNG). The effect of the ectomycorrhizal fungus on host growth (stem diameter) was statistically significant. Illustrations of the study are presented.

• International Journal of Industrial Entomology and Biomaterials
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• v.30 no.1
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• pp.6-16
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• 2015

This study established the genetic characterisation of 10 microsporidian isolates infecting non-mulberry silkworms (Antheraea assamensis and Samia cynthia ricini) collected from biogeographical forest locations in the State of Assam, India, using PCR-based markers assays: inter simple sequence repeat (ISSR) and random amplified polymorphic DNA (RAPD). A Nosema type species (NIK-1s_mys) was used as control for comparison. The shape of mature microsporidian spores were observed oval to elongated, measuring 3.80 to $4.90{\mu}m$ in length and 2.60 to $3.05{\mu}m$ in width. Fourteen ISSR primers generated reproducible profiles and yielded 178 fragments, of which 175 were polymorphic (98%), while 16 RAPD primers generated reproducible profiles with 198 amplified fragments displaying 95% of polymorphism. Estimation of genetic distance coefficients based on dice coefficients method and clustering with un-weighted pair group method using arithmetic average (UPGMA) analysis was done to unravel the genetic diversity of microsporidians infecting Indian muga and eri silkworm. The similarity coefficients varied from 0.385 to 0.941 in ISSR and 0.083 to 0.938 in RAPD data. UPGMA analysis generated dendrograms with two microsporidian groups, which appear to be different from each other. Based on Euclidean distance matrix method, 2-dimensional distribution also revealed considerable variability among different identified microsporidians. Clustering of these microsporidian isolates was in accordance with their host and biogeographic origin. Both techniques represent a useful and efficient tool for taxonomical grouping as well as for phylogenetic classification of different microsporidians in general and genotyping of these pathogens in particular.

• International Journal of Industrial Entomology and Biomaterials
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• v.29 no.2
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• pp.169-178
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• 2014

In this study, we investigated genetic diversity of 22 microsporidian isolates infecting tropical tasar silkworm, Antheraea mylitta collected from various geographical forest locations in the state of Jharkhand, India, using polymerase chain reaction (PCR)-based marker assay: random amplified polymorphic DNA (RAPD). A type species, NIK-1s_mys was used as control for comparison. The shape of mature microsporidians was found to be oval to elongate, measuring 3.80 to $5.10{\mu}m$ in length and 2.56 to $3.30{\mu}m$ in width. Of the 20 RAPD primers screened, 16 primers generated reproducible profiles with 298 polymorphic fragments displaying high degree of polymorphism (97%). A total of 14 RAPD primers produced 45 unique putative genetic markers, which were used to differentiate the microsporidians. Calculation of genetic distance coefficients based on dice coefficient method and clustering with un-weighted pair group method using arithmetic average (UPGMA) analysis was conducted to unravel the genetic diversity of microsporidians infecting tasar silkworm. The similarity coefficients varied from 0.059 to 0.980. UPGMA analysis generated a dendrogram with four microsporidian groups, which appear to be different from each other as well as from NIK-1s_mys. Two-dimensional distribution based on Euclidean distance matrix also revealed considerable variability among different microsporidians identified from the tasar silkworms. Clustering of few microsporidian isolates was in accordance with the geographic origin. The results indicate that the RAPD profiles and specific/unique genetic markers can be used for differentiating as well as to identify different microsporidians with considerable accuracy.

• Journal of Korean Society of Forest Science
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• v.18 no.1
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• pp.17-22
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• 1973

Using of zymography for identification of same clone of Pinus densiflora, the two year old needle leaves of 48 ramtes including 8 clones (6 ramets per clone) were collected in the clone bank which has been established on the near campus of Institute of Forest Genetics, Suwon, in 1962. All 8 bands are named from cathod to anode, G, H, K, M, N, Q, S and Y. Only CB-1 clone shows all bands, while KW-3 clone reveals only 5 bands. Other 6 clones were found 7 bands but the occurred frequencies of those bands are variable among those clones. Though the grafting stock are used various individuals grown seed propagation of P. densiflora, moreover, three stocks have been different species and that one has been P. rigida and two individuals have been P. koraiensis, the zymograms of the ramets belonging to the same clone reveals the identified patterns. The results show that the stocks for grafting have not been affected on the isoperoxidase patterns of their scions in P. densiflora. Among 48 ramets of 8 clones, 4 ramets are found the different isoperoxidase patterns from that of the remained rametes within same clone. Thus, it is conluded that zymography is useful for testing genuineness of the grafted clones of P. densiflora.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.26 no.4
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• pp.17-34
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• 2023

Camera trapping has been used as a non-invasive survey method that minimizes anthropogenic disturbance to ecosystems. Nevertheless, it is labor-intensive and time-consuming, requiring researchers to quantify species and populations. In this study, we aimed to improve the preprocessing of camera trapping data by utilizing an object detection algorithm. Wildlife monitoring using unmanned sensor cameras was conducted in a forested urban forest and a green space on a university campus in Cheonan City, Chungcheongnam-do, Korea. The collected camera trapping data were classified by a researcher to identify the occurrence of species. The data was then used to test the performance of the YOLO-X object detection algorithm for wildlife detection. The camera trapping resulted in 10,500 images of the urban forest and 51,974 images of green spaces on campus. Out of the total 62,474 images, 52,993 images (84.82%) were found to be false positives, while 9,481 images (15.18%) were found to contain wildlife. As a result of wildlife monitoring, 19 species of birds, 5 species of mammals, and 1 species of reptile were observed within the study area. In addition, there were statistically significant differences in the frequency of occurrence of the following species according to the type of urban greenery: Parus varius(t = -3.035, p < 0.01), Parus major(t = 2.112, p < 0.05), Passer montanus(t = 2.112, p < 0.05), Paradoxornis webbianus(t = 2.112, p < 0.05), Turdus hortulorum(t = -4.026, p < 0.001), and Sitta europaea(t = -2.189, p < 0.05). The detection performance of the YOLO-X model for wildlife occurrence was analyzed, and it successfully classified 94.2% of the camera trapping data. In particular, the number of true positive predictions was 7,809 images and the number of false negative predictions was 51,044 images. In this study, the object detection algorithm YOLO-X model was used to detect the presence of wildlife in the camera trapping data. In this study, the YOLO-X model was used with a filter activated to detect 10 specific animal taxa out of the 80 classes trained on the COCO dataset, without any additional training. In future studies, it is necessary to create and apply training data for key occurrence species to make the model suitable for wildlife monitoring.

• Journal of Korean Society of Forest Science
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• v.84 no.1
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• pp.77-86
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• 1995

To effectively modify tree function with genetic engineering, transgenes must be expressed at the proper level in the appropriate tissues at suitable developmental stages. Toward understanding the spatial and temporal expression of transgenes in woody plants, transgene expression was evaluated in three greenhouse-grown, transgenic lines of Populus alba ${\times}$ P. grandidentata hybrid clone 'Hansen'. All transgenic poplar lines possess constructs containing the bacterial nopaline synthase(nos) promoter linked to a neomycin phosphotransferase II(NPT II) selectable marker gene. In addition, each transgenic poplar line contains one of the following gene constructs : 1) a wound-inducible potato proteinase inhibitor II (pin2) promoter linked to a chloramphenicol acetyltransferase(CAT) reporter gene. 2) a nos promoter linked to a PIN2 structural gene : or 3) a Cauliflower Mosaic Virus 35s promoter linked to a PIN2 structural gene. Polymerase chain reaction(PCR) was used to verify the presence of foreign genes in the poplar genome. Enzyme-linked immunosorbent assays(ELISAs) were used to evaluate organ specific expression of the nos-NPT II construct. NPT II expression was detected in leaves, petioles, stems, and roots of transgenic poplar, thereby indicating that the nos promoter is potentially effective for general constitutive expression of transgenes. NPT expression varied among transgenic poplar lines and among organs for one transgenic line, Tr15. With Tr15, NPT II levels were highest in older leaves and petioles. These results indicate that screening of several transgenic lines may be required to identify lines with optimal transgene expression.

• Journal of the Korean Institute of Landscape Architecture
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• v.37 no.3
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• pp.1-10
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• 2009

Wooded areas that are a part of school campuses are one type of urban forest. Most schools located in an urban environment make an excellent setting for a forest in terms of location and area. These kinds of wooded spaces also make the city greener and healthier. As a place where students spend a great deal of time, schools can also be a venue for environmental education. The creation of wooded areas in schools currently has focused on the end result only; by ignoring student needs and participation, these areas have not had a significant influence on student environmental education. Previous studies based on questionnaire survey are significant in that they have quantified subjective qualitative data via Likert Scale. There has been, however, a problem in quantifying the more ambiguous subjective data. Therefore, this paper has attempted to investigate those factors that have an influence on student satisfaction with the wooded areas of their school campus using Fuzzy Theory with elementary school students in Gyeongsangbuk-do. A change was observed in terms of the ranking of arithmetic mean values of 'school peculiarity' and 'emotion evolution' and center of gravity, which has adopted Fuzzy Theory, proving that Fuzzy Theory could rationally objectify qualitative data such as human thoughts. In terms of the influential factors on the satisfaction with school forests(regression coefficient), 'school uniqueness(0.159)' was the highest, followed by 'many trees(0.142),' 'importance of nature(0.136)' and 'emotion evolution(0.130).' This paper may therefore be useful as basic data for objective questionnaire surveys and the development of school forests.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.6
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• pp.1478-1499
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• 2024

Coronavirus disease (COVID-19) is an infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. COVID-19 become an active epidemic disease due to its spread around the globe. The main causes of the spread are through interaction and transmission of the droplets through coughing and sneezing. The spread can be minimized by isolating the susceptible patients. However, it necessitates remote monitoring to check the breathing issues of the patient remotely to minimize the interactions for spread minimization. Thus, in this article, we offer a wearable-IoTs-centered framework for remote monitoring and recognition of the breathing pattern and abnormal breath detection for timely providing the proper oxygen level required. We propose wearable sensors accelerometer and gyroscope-based breathing time-series data acquisition, temporal features extraction, and machine learning algorithms for pattern detection and abnormality identification. The sensors provide the data through Bluetooth and receive it at the server for further processing and recognition. We collect the six breathing patterns from the twenty subjects and each pattern is recorded for about five minutes. We match prediction accuracies of all machine learning models under study (i.e. Random forest, Gradient boosting tree, Decision tree, and K-nearest neighbor. Our results show that normal breathing and Bradypnea are the most correctly recognized breathing patterns. However, in some cases, algorithm recognizes kussmaul well also. Collectively, the classification outcomes of Random Forest and Gradient Boost Trees are better than the other two algorithms.