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Discovering Research of Special Agency of National R&D Management by Analyzing the Current Management System of National R&D Program (연구관리 전문기관의 실태분석을 통한 유형화에 관한 탐색적 연구)

  • Lee, Gil-Woo;Chon, Se-Bong;Ko, Yun-Mi
    • Journal of Korea Technology Innovation Society
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    • v.12 no.1
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    • pp.1-35
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    • 2009
  • This study analyzes the current status of how to manage the national R&D program and the systematic problems of R&D planning, evaluation, and management, and then shows the strategy to support special agency of national R&D management for effective operation. Additionally, this study seeks to search for the macro methods to coordinate and to develop the roles and functions of special agency of national R&D management, and to promote efficiency and productivity of the National R&D investment. First of all, this study generally introduces the national R&D and surveys each special agency of national R&D management by analyzing the status of each agency charged by Ministry. Also, this study defines special agency of national R&D management by investigating each agency's status based on law and finds out the strategy to support special agency of national R&D management for effective operation. Each special agency of national R&D management is based on acts, administrative orders, or blanket contracts and takes whole charge of each National R&D program. The organization forms of special agency of national R&D management can be classified into two forms: One is a form to plan, to evaluate, and to manage the National R&D program and other is a form to research program together with the functions of planning, evaluation, and management. Therefore, this study defines special agency of national R&D management as "an organization, having a legal basis(acts, administrative orders), funded and charged by government for executing R&D planning, evaluation and management of R&D program." This study shows the strategy to operate special agency of national R&D management efficiently by analyzing each agency's current status and comparing each agency with each other. Moreover, every agency has a committee member pool, and the pool is classified well according to the fields of work and technology. Also, the special agency of national R&D management has its own organization to manage performances of program.

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Evaluation Factor and Enhancement of Gwangyang International Port's Competitiveness (광양항의 경쟁력 평가요인과 강화전략)

  • Jeong, Bonghyun
    • Journal of Korea Port Economic Association
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    • v.30 no.1
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    • pp.119-142
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    • 2014
  • This study aims to evaluate the factors which affect the competitiveness of Gwangyang port, and to suggest strategies for the enhancement of its competitiveness by priority. This study inquires both 5 key rating factors: port location, port operations management, port costs, port facilities, and hinterland conditions and the priority of 14 detailed assessments through AHP method. First, the importances of main evaluation items for port competitiveness are analysed in the following orders: port location, port facilities, port costs, port operations, hinterland conditions. Second, the comprehensive importances based on the detailed evaluation properties complex weighting are identified in the following orders: connectivity with hinterland, accessibility of international harbor, incentives, the area of terminal, expertise and skills of port operations personnel, container throughput, and scale berths. Third, the strategies referring to the port location like centrality, transit, and merit on use should be actively conducted for the promotions of Gwangyang port's competitiveness, according to its international port competitiveness analysis. This study will provide both academic and policy implications with its related scholars, government, and research institutions. In addition, this will be contributed to formulating a basic theory for port competitiveness evaluation and providing a basic framework of evaluation analysis.

Youtube Mukbang and Online Delivery Orders: Analysis of Impacts and Predictive Model (유튜브 먹방과 온라인 배달 주문: 영향력 분석과 예측 모형)

  • Choi, Sarah;Lee, Sang-Yong Tom
    • Journal of Intelligence and Information Systems
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    • v.28 no.4
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    • pp.119-133
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    • 2022
  • One of the most important current features of food related industry is the growth of food delivery service. Another notable food related culture is, with the advent of Youtube, the popularity of Mukbang, which refers to content that records eating. Based on these background, this study intended to focus on two things. First, we tried to see the impact of Youtube Mukbang and the sentiments of Mukbang comments on the number of related food deliveries. Next, we tried to set up the predictive modeling of chicken delivery order with machine learning method. We used Youtube Mukbang comments data as well as weather related data as main independent variables. The dependent variable used in this study is the number of delivery order of fried chicken. The period of data used in this study is from June 3, 2015 to September 30, 2019, and a total of 1,580 data were used. For the predictive modeling, we used machine learning methods such as linear regression, ridge, lasso, random forest, and gradient boost. We found that the sentiment of Youtube Mukbang and comments have impacts on the number of delivery orders. The prediction model with Mukban data we set up in this study had better performances than the existing models without Mukbang data. We also tried to suggest managerial implications to the food delivery service industry.

An Investigation on Expanding Co-occurrence Criteria in Association Rule Mining (연관규칙 마이닝에서의 동시성 기준 확장에 대한 연구)

  • Kim, Mi-Sung;Kim, Nam-Gyu;Ahn, Jae-Hyeon
    • Journal of Intelligence and Information Systems
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    • v.18 no.1
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    • pp.23-38
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    • 2012
  • There is a large difference between purchasing patterns in an online shopping mall and in an offline market. This difference may be caused mainly by the difference in accessibility of online and offline markets. It means that an interval between the initial purchasing decision and its realization appears to be relatively short in an online shopping mall, because a customer can make an order immediately. Because of the short interval between a purchasing decision and its realization, an online shopping mall transaction usually contains fewer items than that of an offline market. In an offline market, customers usually keep some items in mind and buy them all at once a few days after deciding to buy them, instead of buying each item individually and immediately. On the contrary, more than 70% of online shopping mall transactions contain only one item. This statistic implies that traditional data mining techniques cannot be directly applied to online market analysis, because hardly any association rules can survive with an acceptable level of Support because of too many Null Transactions. Most market basket analyses on online shopping mall transactions, therefore, have been performed by expanding the co-occurrence criteria of traditional association rule mining. While the traditional co-occurrence criteria defines items purchased in one transaction as concurrently purchased items, the expanded co-occurrence criteria regards items purchased by a customer during some predefined period (e.g., a day) as concurrently purchased items. In studies using expanded co-occurrence criteria, however, the criteria has been defined arbitrarily by researchers without any theoretical grounds or agreement. The lack of clear grounds of adopting a certain co-occurrence criteria degrades the reliability of the analytical results. Moreover, it is hard to derive new meaningful findings by combining the outcomes of previous individual studies. In this paper, we attempt to compare expanded co-occurrence criteria and propose a guideline for selecting an appropriate one. First of all, we compare the accuracy of association rules discovered according to various co-occurrence criteria. By doing this experiment we expect that we can provide a guideline for selecting appropriate co-occurrence criteria that corresponds to the purpose of the analysis. Additionally, we will perform similar experiments with several groups of customers that are segmented by each customer's average duration between orders. By this experiment, we attempt to discover the relationship between the optimal co-occurrence criteria and the customer's average duration between orders. Finally, by a series of experiments, we expect that we can provide basic guidelines for developing customized recommendation systems. Our experiments use a real dataset acquired from one of the largest internet shopping malls in Korea. We use 66,278 transactions of 3,847 customers conducted during the last two years. Overall results show that the accuracy of association rules of frequent shoppers (whose average duration between orders is relatively short) is higher than that of causal shoppers. In addition we discover that with frequent shoppers, the accuracy of association rules appears very high when the co-occurrence criteria of the training set corresponds to the validation set (i.e., target set). It implies that the co-occurrence criteria of frequent shoppers should be set according to the application purpose period. For example, an analyzer should use a day as a co-occurrence criterion if he/she wants to offer a coupon valid only for a day to potential customers who will use the coupon. On the contrary, an analyzer should use a month as a co-occurrence criterion if he/she wants to publish a coupon book that can be used for a month. In the case of causal shoppers, the accuracy of association rules appears to not be affected by the period of the application purposes. The accuracy of the causal shoppers' association rules becomes higher when the longer co-occurrence criterion has been adopted. It implies that an analyzer has to set the co-occurrence criterion for as long as possible, regardless of the application purpose period.

A Single Index Approach for Time-Series Subsequence Matching that Supports Moving Average Transform of Arbitrary Order (단일 색인을 사용한 임의 계수의 이동평균 변환 지원 시계열 서브시퀀스 매칭)

  • Moon Yang-Sae;Kim Jinho
    • Journal of KIISE:Databases
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    • v.33 no.1
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    • pp.42-55
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    • 2006
  • We propose a single Index approach for subsequence matching that supports moving average transform of arbitrary order in time-series databases. Using the single index approach, we can reduce both storage space overhead and index maintenance overhead. Moving average transform is known to reduce the effect of noise and has been used in many areas such as econometrics since it is useful in finding overall trends. However, the previous research results have a problem of occurring index overhead both in storage space and in update maintenance since tile methods build several indexes to support arbitrary orders. In this paper, we first propose the concept of poly-order moving average transform, which uses a set of order values rather than one order value, by extending the original definition of moving average transform. That is, the poly-order transform makes a set of transformed windows from each original window since it transforms each window not for just one order value but for a set of order values. We then present theorems to formally prove the correctness of the poly-order transform based subsequence matching methods. Moreover, we propose two different subsequence matching methods supporting moving average transform of arbitrary order by applying the poly-order transform to the previous subsequence matching methods. Experimental results show that, for all the cases, the proposed methods improve performance significantly over the sequential scan. For real stock data, the proposed methods improve average performance by 22.4${\~}$33.8 times over the sequential scan. And, when comparing with the cases of building each index for all moving average orders, the proposed methods reduce the storage space required for indexes significantly by sacrificing only a little performance degradation(when we use 7 orders, the methods reduce the space by up to 1/7.0 while the performance degradation is only $9\%{\~}42\%$ on the average). In addition to the superiority in performance, index space, and index maintenance, the proposed methods have an advantage of being generalized to many sorts of other transforms including moving average transform. Therefore, we believe that our work can be widely and practically used in many sort of transform based subsequence matching methods.

Evaluation for Rock Cleavage Using Distribution of Microcrack Spacings (III) (미세균열의 간격 분포를 이용한 결의 평가 (III))

  • Park, Deok-Won
    • The Journal of the Petrological Society of Korea
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    • v.25 no.4
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    • pp.311-324
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    • 2016
  • The characteristics of the rock cleavage in Jurassic granite from Geochang were analysed. The evaluation for three quarrying planes and three rock cleavages was performed using the parameters such as (1) reduction ratio between the value of spacing and the value of length, (2) microcrack spacing frequency(N), (3) total spacing($1mm{\geq}$), (4) exponential constant(a), (5) magnitude of exponent(${\lambda}$), (6) mean spacing($S_{mean}$), (7) difference value($S_{mean}-S_{median}$) between mean spacing and median spacing($S_{median}$) and (8) density of spacing. Especially the close dependence between the above spacing parameters and the parameters from the spacing-cumulative frequency diagrams was derived. The discrimination factors representing three quarrying planes and three rock cleavages were acquired through these mutual contrast. The analysis results of the research are summarized as follows. First, the reduction ratios of frequency(N), mean value, median value, the above difference value($S_{mean}-S_{median}$) and density for three rock cleavages are in orders of G(grain, (G1 + G2)/2) < H(hardway, (H1 + H2)/2) < R(rift, (R1 + R2)/2), H < G $\ll$ R, H < G $\ll$ R, H < G < R and H < G $\ll$ R. The values of the above five parameters for three planes show the various orders of R'(rift plane) $\ll$ H'(hardway plane) < G'(grain plane), R' $\ll$ G' < H', R' < H' < G', R' < G' < H' and R' $\ll$ H' < G', respectively. Second, the values of (I) parameters(2, 3, 4 and 5) and (II) parameters(6, 7 and 8) are in orders of (I) H < G < R and (II) R < G < H. On the contrary, the values of the above two groups(I~II) of parameters for three planes show reverse orders. Third, to review the overall characteristics of the arrangement among the six diagrams, these diagrams show an order of R2 < R1 < G2 < G1 < H2 < H1 from the related chart. In other words, above six diagrams can be summarized in order of rift(R1 + R2) < grain(G1 + G2) < hardway(H1 + H2). These results indicate a relative magnitude of rock cleavage related to microcrack spacing. Especially, two parameters for each diagram, the above difference value($S_{mean}-S_{median}$) and mean spacing, could provide advanced information for prediction the order of arrangement among the diagrams. Finally, the general chart for three planes and three rock cleavages were made. From the related chart, three exponential straight lines for three rock cleavages show an order of R(R1 + R2) < G(G1 + G2) < H(H1 + H2). On the contrary, three lines for three planes show an order of H'(R2 + G2) < G'(R1 + H2) < R'(G1 + H1). Consequently, correlation of the mutually reverse order between three planes and three rock cleavages can be drawn from the related chart.

On the Development of Microcomputer-Assisted Mathematics Teaching/Learning Method (마이크로 컴퓨터를 이용한 수학 교수.학습법 개발에 관한 연구)

  • Kim Chang Dong;Lee Tae Wuk
    • The Mathematical Education
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    • v.27 no.1
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    • pp.15-23
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    • 1988
  • We are at the onset of a major revolution in education, a revolution unparalleled since the invention of the printing press. The computer will be the instrument of this revolution. Computers and computer application are everywhere these days. Everyone can't avoid the influence of the computer in today's world. The computer is no longer a magical, unfamiliar tool that is used only by researchers or scholars or scientists. The computer helps us do our jobs and even routine tasks more effectively and efficiently. More importantly, it gives us power never before available to solve complex problems. Mathematics instruction in secondary schools is frequently perceived to be more a amendable to the use of computers than are other areas of the school curriculum. This is based on the perception of mathematics as a subject with clearly defined objectives and outcomes that can be reliably measured by devices readily at hand or easily constructed by teachers or researchers. Because of this reason, the first large-scale computerized curriculum projects were in mathematics, and the first educational computer games were mathematics games. And now, the entire mathematics curriculum appears to be the first of the traditional school curriculum areas to be undergoing substantial trasformation because of computers. Recently, many research-Institutes of our country are going to study on computers in orders to use it in mathematics education, but the study is still start ing-step. In order to keep abreast of this trend necessity, and to enhance mathematics teaching/learning which is instructed lecture-based teaching/learning at the present time, this study aims to develop/present practical method of computer-using. This is devided into three methods. 1. Programming teaching/learning method This part is presented the following five types which can teach/learn the mathematical concepts and principle through concise program. (Type 1) Complete a program. (Type 2) Know the given program's content and predict the output. (Type 3) Write a program of the given flow-chart and solve the problem. (Type 4) Make an inference from an error message, find errors and correct them. (Type 5) Investigate complex mathematical fact through program and annotate a program. 2. Problem-solving teaching/learning method solving This part is illustrated how a computer can be used as a tool to help students solve realistic mathematical problems while simultaneously reinforcing their understanding of problem-solving processes. Here, four different problems are presented. For each problem, a four-stage problem-solving model of polya is given: Problem statement, Problem analysis, Computer program, and Looking back/Looking ahead. 3. CAI program teaching/learning method This part is developed/presented courseware of sine theorem section (Mathematics I for high school) in order to avail individualized learning or interactive learning with teacher. (Appendix I, II)

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The Validation of Standardized Nursing Care Plans Developed for Computerized Use in Clinical Practice (간호업무 전산화를 위해 개발된 표준화된 간호계획서의 타당성 검정)

  • 김용순
    • Journal of Korean Academy of Nursing
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    • v.21 no.3
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    • pp.349-364
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    • 1991
  • Recognition of the usefulness and the importance of the nursing diagnosis is increasing. There is a prevailing opinion that nursing diagnosis should be used to improve the quality of nursing care. Developing standardized nursing care palns based on nursing diagnoses is therefore considered one of the most essential projects for professional growth and improvement in the nursing world of Korea. Consequently, in the first stage of this research project, the ten nursing diagnses used most frequently with patients on medical and surgical wards were determined and related nursing care plans were developed, implemented and evaluated. The application of the standardized nursing care plans raised the nurses' confidence and proved to be effective in enhancing the quality of nursing care. This study was initiated as the next stage, to develop, test, and determine the validity of nursing care plans for the remaining nursing diagnoses. Nineteen medical and surgical wards were selected for the study ; the 176 staff nurses working on those wards and 1211 patients hospitalized there (603 patients during the nursing care plan use) took part in the project. The following summarizes the results of the study : 1. After listing all the nursing diagnoses up to the 20th in frequency from each ward except the ten used in the first study, 22 nursing diagnoses were selected. Two related to ‘self care deficit’, were combined into one. Standardized nursing care plans were established for these 21 nursing diagnoses. 2. The first page of each nursing care plan lists the related factors and defining characteristics as supporting data. The application rate distribution revealed that the majority were recorded less than 50% of the time. For each nursing diagnosis, only one to three related factors were recorded more than 50% of the time regardless of the number of suggested related factors, and similarly, only one to five defining characteristics were recorded more than 50% of the time regardless of the number of suggested defining characteristics. Therefore, these factors and defining characteristics were proposed as the common related factors and the typical signs and symptoms for each nursing diagnosis. 3. The application rate distribution for the expected outcomes, and the nursing orders that were the main data of each nursing care plan occurred more than 50% of the time, unlike the related factors and the characteristics that occurred less frequently. These findings supported the clinical validity. 4. In an effort to evaluate indirectly the effect of the use of the standardized nursing care plans, nurses' job satisfaction and perceptions of their ability in the use of the nursing process were measured and compared. Scores after the use of the plans were significantly higher than those before. The experience in actually using the standardized nursing care plans with patients increased the nurses' professional and emotional satisfaction and their confidence in using the nursing process. Also when the nurses who actually used the nursing care plans were asked to rate their effectiveness, the highest score was given to ‘the ease of establishing the nursing goal’, followed by ‘improved professional advice and care for patients’, ‘the efficiency and systemization of charting’, ‘the definite recognition of the nursing problem’, and ‘the selection of effective and appropriate nursing interventions’ in descending order. The results indicate the nurses were very positive about the effect of the real clinical application of standardized nursing care plans, and that the objective of this study to utilize the nursing diagnosis to strengthen the nursing process was attained.

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Partial Mitochondrial Gene Arrangements Support a Close Relationship between Tardigrada and Arthropoda

  • Ryu, Shi Hyun;Lee, Ji Min;Jang, Kuem-Hee;Choi, Eun Hwa;Park, Shin Ju;Chang, Cheon Young;Kim, Won;Hwang, Ui Wook
    • Molecules and Cells
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    • v.24 no.3
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    • pp.351-357
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    • 2007
  • Regions (about 3.7-3.8 kb) of the mitochondrial genomes (rrnL-cox1) of two tardigrades, a heterotardigrade, Batillipes pennaki, and a eutardigrade, Pseudobiotus spinifer, were sequenced and characterized. The gene order in Batillipes was $\underline{rrnL}-\underline{V}-\underline{rrnS}-\underline{Q}-\underline{I}$-M-nad2-W-$\underline{C}-\underline{Y}$-cox1, and in Pseudobiotus it was $\underline{rrnL}-\underline{V}-\underline{rrnS}-\underline{Q}$-M-nad2-W-$\underline{C}-\underline{Y}$-cox1. With the exception of the trnI gene, the two tardigrade regions have the same gene content and order. Their gene orders are strikingly similar to that of the chelicerate Limulus polyphemus (rrnL-V-rrnS-CR-I-Q-M-nad2-W-C-Y-cox1), which is considered to be ancestral for arthropods. Although the tardigrades do not have a distinct control region (CR) within this segment, the trnI gene in Pseudobiotus is located between rrnL-trnL1 and trnL2-nad1, and the trnI gene in Batillipes is located between trnQ and trnM. In addition, the 106-bp region between trnQ and trnM in Batillipes not only contains two plausible trnI genes with opposite orientations, but also exhibits some CR-like characteristics. The mitochondrial gene arrangements of 183 other protostomes were compared. 60 (52.2%) of the 115 arthropods examined have the M-nad2-W-C-Y-cox1 arrangement, and 88 (76.5%) the M-nad2-W arrangement, as found in the tardigrades. In contrast, no such arrangement was seen in the 70 non-arthropod protostomes studied. These are the first non-sequence molecular data that support the close relationship of tardigrades and arthropods.

Comparison of the Kinetic Behaviors of Fe2O3 Spherical Submicron Clusters and Fe2O3 Fine Powder Catalysts for CO Oxidation

  • Yoo, Seung-Gyun;Kim, Jin-Hoon;Kim, Un-Ho;Jung, Jin-Seung;Lee, Sung-Han
    • Bulletin of the Korean Chemical Society
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    • v.35 no.5
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    • pp.1379-1384
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    • 2014
  • ${\alpha}-Fe_2O_3$ spherical particles having an average diameter of ca. 420 nm and ${\alpha}-Fe_2O_3$ fine particles (< 10 ${\mu}m$ particle size) were prepared to examine as catalysts for CO oxidation. Kinetic studies on the catalytic reactions were performed in a flow reactor using an on-line gas chromatography system operated at 1 atm. The apparent activation energies and the partial orders with respect to CO and $O_2$ were determined from the rates of CO disappearance in the reaction stage showing a constant catalytic activity. In the temperature range of $150-275^{\circ}C$, the apparent activation energies were calculated to be 13.7 kcal/mol on the ${\alpha}-Fe_2O_3$ spherical submicron clusters and 15.0 kcal/mol on the ${\alpha}-Fe_2O_3$ fine powder. The Pco and $Po_2$ dependencies of rate were investigated at various partial pressures of CO and $O_2$ at $250^{\circ}C$. Zero-order kinetics were observed for $O_2$ on both the catalysts, but the reaction order for CO was observed as first-order on the ${\alpha}-Fe_2O_3$ fine powder and 0.75-order on the ${\alpha}-Fe_2O_3$ spherical submicron clusters. The catalytic processes including the inhibition process by $CO_2$ on the ${\alpha}-Fe_2O_3$ spherical submicron powder are discussed according to the kinetic results. The catalysts were characterized using XRD (X-ray powder diffraction), FE-SEM (field emission-scanning electron microscopy), HR-TEM (high resolution-transmission electron microscopy), and $N_2$ sorption measurements.