Covalently bonded halogen ligands possess unusual charge distributions, attracting both electrophilic and nucleophilic molecular ligands to form halogen bonds. In many biochemical systems, halogen bonds and hydrogen bonds coexist. The interplay between halogen and hydrogen bonds has been actively studied in various three-dimensional bulk molecular co-crystals. It was found that halogen bonds could be complementary to hydrogen bonds due to their similar bond strength and dissimilar directionality. In those ensemble-averaging approaches, however, it was not possible to extract local information such as individual bond configurations and nano-level domain structures, which is a crucial part of supramolecular studies. In this study, we directly visualize the individual molecular configuration of a brominated molecule and the role of halogen bonds on Au(111) using scanning tunneling microscopy. The precise arrangement of observed molecular structures was reproduced by first-principle studies and explained in the context of halogen and hydrogen bonds. We discuss the distances and the strengths of the observed halogen bonds and hydrogen bonds, which are consistent with previous bulk data.
A flue-cured tobacco variety (Nicotiana tabacum cv. Wisconsin) was used for Plant transformation with the complementary DNA (cDNA) of potato virus Y-necrosis strain (PVY-VN) replicase gone (Nb) which was synthesized through reverse-transcription Primed with oligo(dT) and Polymerization using RNase H-digested template. The cDNA was cloned into Plant expression vector Plasmid (PMBP2), and introduced into tobacco plants by co-culturing tobacco leaf disks with Agrobacterium tumefaciens LBA4404 containing the plasmid before Plant regeneration. Eight Plants, in which the inserted cDNA fragment was detected by Polymerase chain reaction (PCR), out of 70 putative transformants inserted with sense-oriented Mb cDNA showed no symptom at 3 weeks after inoculation, while the other 62 plants, and all plants with vector gone only and antisense-oriented NIb cDNA had susceptible vein-necrosis symptoms. However, only 2 of the 8 resistant plants were highly resistant, which remained symptomless up to 10 weeks after inoculation. Among the first progenies (T1) from self-fertilized seeds of the two resistant transgenic plants, less than 10 % of 71 plants appeared highly resistant (with no symptom), 70% moderately resistant (with mild symptoms on 1 - 2 leaves), and about 20% susceptible (with susceptible symptoms on 3 or more leaves) at 3 weeks after inoculation. These results suggest that the PVY resistance was inherited in the 71 generation. Key words : potato virus Y. viral replicase gene, transgenic tobacco Plants, resistance.
Purpose: The objectives of this study were to investigate perception of touch therapies among nurses who looking after cancer patients, ultimately to probe possibility of utilization of touch therapies as nursing interventions. Method: A descriptive study conducted from Dec. 2005 to Jan. 2006. 270 nurses taking care of cancer patients in 2 urban hospital were completed self-report questionnaire about general characteristics, utilization of touch therapies, willingness to adopt touch therapies in their practice, and perception of safety and effectiveness of touch therapies. Result: The participants were average 27.97 year-old, 60% of them had bachelor's degree, most of them were staff nurses(83.0%), and 34.6% of them were 3-5 years experienced in oncology nursing. Among 5 touch therapies(therapeutic touch, massage, reflexology, acupressure, and acupuncture), massage was the most positively perceived therapy not only the aspects of safety(67.1%) and effectiveness(65.9%), but also willingness to utilize in their practice(71.2%). There was no significant difference in willingness to utilize in their practice per age and years of working in oncology nursing. Older and more experienced groups perceived more positively to massage and reflexology. Conclusion: Massage might be readily adopted as a nursing intervention in oncology nursing practice. Strategies to encourage the utilization of touch therapies as nursing intervention should be established.
We introduce a strained-SiGe technology adopting different thicknesses of Si cap layers towards low power and high performance CMOS applications. By simply adopting 3 and 7 nm thick Si-cap layers in n-channel and p-channel MOSFETs, respectively, the transconductances and driving currents of both devices were enhanced by 7 to 37% and 6 to 72%. These improvements seemed responsible for the formation of a lightly doped retrograde high-electron-mobility Si surface channel in nMOSFETs and a compressively strained high-hole-mobility $Si_{0.8}Ge_{0.2}$ buried channel in pMOSFETs. In addition, the nMOSFET exhibited greatly reduced subthreshold swing values (that is, reduced standby power consumption), and the pMOSFET revealed greatly suppressed 1/f noise and gate-leakage levels. Unlike the conventional strained-Si CMOS employing a relatively thick (typically > 2 ${\mu}m$) $Si_xGe_{1-x}$ relaxed buffer layer, the strained-SiGe CMOS with a very thin (20 nm) $Si_{0.8}Ge_{0.2}$ layer in this study showed a negligible self-heating problem. Consequently, the proposed strained-SiGe CMOS design structure should be a good candidate for low power and high performance digital/analog applications.
Since the technical realization of self-aligned planar complementary metal-oxide-semiconductor field-effect transistors in 1960s, semiconductor manufacturing has aggressively pursued scaling that fruitfully resulted in tremendous advancement in device performances and realization of features sizes smaller than 10 nm. Due to many intrinsic material and technical obstacles, continuing the scaling progress of semiconductor devices has become increasingly arduous. As an effort to circumvent the areal limit, stacking devices in a three-dimensional fashion has been suggested. This approach is commonly called monolithic three-dimensional (M3D) integration. In this work, we examined technical issues that need to be addressed and overcome to fully realize energy efficiency, short latency and cost competency. Full-fledged M3D technologies are expected to contribute to various new fields of artificial intelligence, autonomous gadgets and unknowns, which are to be discovered.
Journal of the Korean Academy of Child and Adolescent Psychiatry
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제33권2호
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pp.41-47
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2022
Objectives: Humans experience the process of separating-individuating themselves from an object via the conflict between dependence and independence within the self. The separation-individuation theory focuses on the psychological process of individualizing oneself. Although adolescents' individuation from their parents is based on intrapsychic events, there is an increasing need for an intersubjective understanding of it. We applied intersubjectivity to adolescents and parents to interpret and find solutions for problems arising during their individuation process. Methods: This study retrospectively reviewed a case of a son and his father treated by the author. From the study subject, contents that represent adolescents and parents' interaction and separation in the individualization process were extracted and analyzed, and their experiences shared in this process were reconstructed from the therapist's perspective. Results: From the case involving an adolescent boy with conduct problems and his interactions with his father, the authors observed the phenomenon of intersubjectivity and proposed the concept of "synchronized individuation" between adolescents and parents. As adolescents rapidly grow and change, they experience various dynamic interactions with their parents. Through learning to tolerate the conflicts and ambivalent tension inherent in this individuation process, adolescents and their parents develop their new identity. Conclusion: "Synchronized individuation" should be understood as complementary to, rather than exclusive from, the existing concept of the separation and individuation. It offers a new paradigm with which to understand adolescent-parent conflicts in the process of separation-individuation.
The capstone design classes in the College of Engineering are often team project-oriented, and teamwork skills are reported to positively impact problem-solving abilities. While team project courses have various advantages, they also come with challenges such as social loafing and issues related to free riders, which consistently hinder the positive effects of team project courses. To prevent these issues, there is a need to provide a clear evaluation-reward system for team members' contributions. In this study, we examined the reliability of peer evaluation scores for team members' contributions and reviewed methods to incorporate them into team project grades. The review results indicated that peer evaluation scores are deemed to have considerable reliability from a qualitative perspective. However, due to the relatively small team size in team project courses (3 to 6 members per team), using the arithmetic mean of peer evaluation scores is statistically challenging. As a complementary approach, this study proposes limiting the reflection ratio of peer evaluation scores and applying a more macroscopic processing method, not the arithmetic mean, to incorporate peer evaluation scores for team contributions into grades.
This paper presents a radiation-hardened-by-design preamplifier that utilizes a self-compensation technique with a charge-sensitive amplifier (CSA) and replica for total ionizing dose (TID) effects. The CSA consists of an operational amplifier (OPAMP) with a 6-bit binary weighted current source (BWCS) and feedback network. The replica circuit is utilized to compensate for the TID effects of the CSA. Two comparators can detect the operating point of the replica OPAMP and generate appropriate signals to control the switches of the BWCS. The proposed preamplifier was fabricated using a general-purpose complementary metal-oxide-silicon field effect transistor 0.18 ㎛ process and verified through a test up to 230 kGy (SiO2) at a rate of 10.46 kGy (SiO2)/h. The code of the BWCS control circuit varied with the total radiation dose. During the verification test, the initial value of the digital code was 39, and a final value of 30 was observed. Furthermore, the preamplifier output exhibited a maximum variation error of 2.39%, while the maximum rise-time error was 1.96%. A minimum signal-to-noise ratio of 49.64 dB was measured.
Universities have recognized e-Learning Systems as the critical IT resources which contribute to improving the competitiveness of the universities as well as the quality of the traditional class-based lectures. Instructors deliver the main contents in the class. Other supplementary activities like online discussions, sharing of teaching-learning materials, submission of homeworks, communication among the learners and between the instructors and the learners, and so on can be efficiently facilitated using e-Learning Systems. In other words, e-Learning Systems enable a blended learning combined class-based lectures and e-learning in a variety of ways. Nonetheless, compared to the level of implementation of e-Learning Systems, the usage of both the instructors and the learners is not high. Accordingly, this study examines the determinants to affect on the usage of e-Learning Systems from the learners perspective. To draw the key determinants, we review the IS literatures related to adoption or use of the IS like Media Richness Theory (MRT), Technology Acceptance Model (TAM), Social Influence Model (SIM), and Self-efficacy Model. The variables are drawn out to be expected on the usage of e-Learning like Media Richness, Ease of Use from MRT, TAM and Instructor's Influence, Co-learner's Influence from SIM, and Self-efficacy. To test our model and hypotheses, we have collected data in the class-based lectures using e-Learning System complementary. The results of the test with 192 data are as follows: Firstly, it shows that the Instructor's Influence and the Media Richness are the influential determinants to affect on the Perception of Usefulness of e-Learning Systems. Additionally, the Co-learner's Influence and Ease of Use in order is significant to the Perception of Usefulness. Secondly, as to the degree of use of the e-Learning Systems, the Co-leaner's Influence, the Media Richness, and the Ease of Use are, in that order, the significant determinants. The Perception of Usefulness, also, founded a key factor on increasing the use of e-Learning Systems. On the other hand, the Instructor's Influence is not significant to the use of e-Learning Systems. Finally, it has been found that Self-efficacy is significant to the Perception of Media Richness, Ease of Use, but not significant to the Perception of Usefulness.
대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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pp.65-65
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2002
In remote sensing, images are acquired over the same area by sensors of different spectral ranges (from the visible to the microwave) and/or with different number, position, and width of spectral bands. These images are generally partially redundant, as they represent the same scene, and partially complementary. For many applications of image classification, the information provided by a single sensor is often incomplete or imprecise resulting in misclassification. Fusion with redundant data can draw more consistent inferences for the interpretation of the scene, and can then improve classification accuracy. The common approach to the classification of multisensor data as a data fusion scheme at pixel level is to concatenate the data into one vector as if they were measurements from a single sensor. The multiband data acquired by a single multispectral sensor or by two or more different sensors are not completely independent, and a certain degree of informative overlap may exist between the observation spaces of the different bands. This dependence may make the data less informative and should be properly modeled in the analysis so that its effect can be eliminated. For modeling and eliminating the effect of such dependence, this study employs a strategy using self and conditional information variation measures. The self information variation reflects the self certainty of the individual bands, while the conditional information variation reflects the degree of dependence of the different bands. One data set might be very less reliable than others in the analysis and even exacerbate the classification results. The unreliable data set should be excluded in the analysis. To account for this, the self information variation is utilized to measure the degrees of reliability. The team of positively dependent bands can gather more information jointly than the team of independent ones. But, when bands are negatively dependent, the combined analysis of these bands may give worse information. Using the conditional information variation measure, the multiband data are split into two or more subsets according the dependence between the bands. Each subsets are classified separately, and a data fusion scheme at decision level is applied to integrate the individual classification results. In this study. a two-level algorithm using hierarchical clustering procedure is used for unsupervised image classification. Hierarchical clustering algorithm is based on similarity measures between all pairs of candidates being considered for merging. In the first level, the image is partitioned as any number of regions which are sets of spatially contiguous pixels so that no union of adjacent regions is statistically uniform. The regions resulted from the low level are clustered into a parsimonious number of groups according to their statistical characteristics. The algorithm has been applied to satellite multispectral data and airbone SAR data.
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