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Aircraft Measurements of gaseous pollutants(, NOx and ) in the Yellow Sea area, were carried out on 1997-2007. Main measurement site in 124-127E, 35-37N (in the Yellow Sea), have been done along the paths classified vertically and zonally. To understand how the air stream affects Long-range transboundary pollutants in Northease Asia (LTP), the tracks of pollutants in northeast Asia have been analyzed by dividing into 6 different regions(regions I-V and L). Compared with Korea's local sources and western north Pacific influenced by the Yellow Sea, when the air stream from region II is dominant, the concentrations are 3-6times higher. In region II and III, concentrations are represented highest at 25.0 and 14.7 ppb, respectively. However, in other regions, concentration was recorderd the highest at 1.1-3.8 ppb, which is 7-15% higher then the highest one over the region II and III. During 1997-2007, the mean amount of incoming pollutants is 0.162 exceeding about 5-times mean amount of outgoing pollutants over the West Sea. During the observed period, the amount of incoming and outgoing over the Yellow Sea is the highest in winter, at 0.224 and 0.120 , respectively.

Lung tumor cell DNA copy number alteration (CNA) was expected to display specific patterns such as a large-scale amplification or deletion of chromosomal arms, as previously published data have reported. Peripheral blood mononuclear cell (PBMC) CNA however, was expected to show normal variations in cancer patients as well as healthy individuals, and has thus been used as normal control DNA samples in various published studies. We performed array CGH to measure and compare genetic changes in terms of the CNA of PBMC samples as well as DNA isolated from tumor tissue samples, obtained from 24 non-small cell lung cancer patients. Contradictory to expectations, our studies showed that the PBMC CNA also showed chromosomal variant regions. The list included well-known tumor-associated NTRK1, FGF8, TP53, and TGFbeta1 genes and potentially novel oncogenes such as THPO (3q27.1), JMJD1B, and EGR1 (5q31.2), which was investigated in this study. The results of this study highlighted the connection between PBMC and tumor cell genomic DNA in lung cancer patients. However, the application of these studies to cancer prognosis may pose a challenge due to the large amount of information contained in genetic predisposition and family history that has to be processed for useful downstream clinical applications.

An overview of the understanding of correlations between energy gap and refractive index of semiconductors is presented here. The atomic approach of Moss, the nearly free electron model of Penn, the oscillator concept of Wemple and the optical polarizability approach of Finkenrath are considered in this study. The Ravindra relation is discussed in the context of alternate approaches that have been presented in the literature. Case studies of applications of these relations to infrared materials and wide band gap semiconductors are presented.

This work demonstrates a novel surface conductance based humidity sensor that can be fully integrated in standard CMOS process without any post-processing. The proposed humidity sensing mechanism is based on the surface conductance of SiO2 between the two metals which is exponentially related to relative humidity. As SiO2 can be provided by any standard CMOS process, this is distinct from the previous works that use post-processing to improve the functionality. To avoid the exponential output with relative humidity, a log-converter composed of an op-amp with a diode in feedback path is proposed. To reduce very high surface resistance of 1014 Ω to 1018Ω, the surface resistor was implemented as a comb-structure and made it large enough so that the surface current is bigger than the reverse leakage of the parasitic diode. The proposed sensor was fabricated in 0.25um standard CMOS process. A total of 8 chips were tested from 30%RH to 100%RH in a regulated temperature of 23°C, and the results show ±2%RH chip-to-chip error after 2-point calibration.

Samples of fog water were collected at Baengnyeong Island (BYI) in the Yellow Sea during the summer of 2014. The most abundant chemical species in the fog water were NH4+ (mean of 2220 µM), NO3− (1260 µM), SO4−2 (730 µM), and Na+ (551 µM), with substantial contributions from other species consistent with marine and biomass burning influence on some dates. The pH of the samples ranged between 3.48 and 5.00, with a mean of 3.94, intermediate within pH values of fog/cloud water reported previously in Southeast Asia. Back trajectories (72 h) showed that high relative humidity ( > 80 %) was encountered upwind of the sampling site by all but one of the sampled air masses, and that the fog composition at BYI can be impacted by several different source regions, including the Sea of Japan, southeastern China, northeastern China, and the East China Sea. Sulfur in the collected fog was highly oxidized: low S(IV) concentrations were measured (mean of 2.36 µM) in contrast to SO4−2 and in contrast to fog/cloud S(IV) concentrations from pollutant source regions; organosulfate species were also observed and were most likely formed through aging of mainly biogenic volatile organic compounds. Low-molecular-mass organic acids were major contributors to total organic carbon (TOC; 36–69 %), comprising a fraction of TOC at the upper end of that seen in fogs and clouds in other polluted environments. Large contributions were observed from not only acetic and formic acids but also oxalic, succinic, maleic, and other organic acids that can be produced in aqueous atmospheric organic processing (AAOP) reactions. These samples of East Asian fog water containing highly oxidized components represent fog downwind of pollutant sources and can provide new insight into the fate of regional emissions. In particular, these samples demonstrate the result of extensive photochemical aging during multiday transport, including oxidation within wet aerosols and fogs.

In an attempt to observe the genetic traits of avascular necrosis of the femoral head, we analyzed the genomic alterations in blood samples of 18 patients with avascular necrosis of the femoral head (9 idiopathic and 9 alcoholic cases) using the array comparative genomic hybridization method and real-time polymerase chain reaction. Several candidate genes were identified that may induce avascular necrosis of the femoral head, and we investigated their role in the pathomechanism of osteonecrosis of bone. The frequency of each candidate gene over all the categories of avascular necrosis of the femoral head was also calculated by real-time polymerase chain reaction. The highest frequency specific genes in each category were FLJ40296, CYP27C1, and CTDP1. FLJ40296 and CYP27C1 had the highest frequency (55.6%) in the idiopathic category. FLJ40296 had a high frequency (44.4%) in the alcoholic category, but CYP27C1 had a relatively low frequency (33.3%) in the alcoholic category. However, CTDP1 showed a significantly high frequency (55.6%) in the alcoholic category and a low frequency (22.2%) in the idiopathic category. Although we statistically analyzed the frequency of each gene with Fisher’s exact test, we could not prove statistical significance due to the small number of samples. Further studies are needed with larger sample numbers. If the causal genes of avascular necrosis of the femoral head are found, they may be used for early detection, prognosis prediction, and genomic treatment of avascular necrosis of the femoral head in the future.

Background Genomic alterations are important events in the origin and progression of various cancers, with DNA copy number changes associated with progression and treatment response in cancer. Array CGH is potentially useful in the identification of genomic alterations from primary tumor and blood in breast cancer patients. The aim of our study was to compare differences of DNA copy number changes in blood and tumor tissue in breast cancer. Methods DNA copy number changes in blood were compared to those in tumor tissue using array-comparative genomic hybridization in samples obtained from 30 breast cancer patients. The relative degree of chromosomal changes was analyzed using log2 ratios and data was validated by real-time polymerase chain reaction. Results Forty-six regions of gains present in more than 30% of the tissues and 70 regions of gains present in more than 30% of blood were identified. The most frequently gained region was chromosome 8q24. In total, agreement of DNA copy numbers between primary tumor and blood was minimal (Kappa = 0.138, p < 0.001). Conclusion Although there was only a slight agreement of DNA copy number alterations between the primary tumor and the blood samples, the blood cell copy number variation may have some clinical significance as compared to the primary tumor in IDC breast cancer patients.

Emphysema is the major component of chronic obstructive pulmonary disease (COPD), which is the fourth leading cause of death in the world. Several epidemiologic studies suggest that genetic factors may have an important role in the pathogenesis of emphysema. We analyzed the gene expression profiles of chromosomal aberrations using array comparative genomic hybridization (array CGH) in 32 patients with emphysema to identify the candidate genes that might be causally involved in the pathogenesis of emphysema. Copy number gains and losses were detected in chromosomal regions, and the corresponding genes were confirmed by real-time polymerase chain reaction. Several frequently altered loci were found, including a gain at 5p15.33 (60% of the study subjects), and a loss at 7q22.1 (31% of the study subjects). DNA gains were identified at a high frequency at 1p, 5p, 11p, 12p, 15q, 17p, 18q, 21q, and 22q, whereas DNA losses were frequently found at 7q and 22q. We found that the fold change levels were highest at the CYP4B1 (1p33), JUN (1p32.1), NOTCH2 (1p12-p11.2), SDHA (5p15.33), KCNQ1 (11p15.5-p15.4), NINJ2 (12p13.33), PCSK6 (15q26.3), ABR (17p13.3), CTDP1 (18q23), RUNX1 (21q22.12) and HDAC10 (22q13.33) gene loci. We also observed losses in the MUC17 (7q22.1), COMT (22q11.21) and GSTT1 (22q11.2) genes. These studies show that array CGH is a useful tool for the identification of gene alterations in cases of emphysema and that the aforementioned genes might represent potential candidate genes involved in the pathogenesis of emphysema.

Summary Genomic alterations have been identified in lung cancer tissues and reported in numerous studies. To analyze genomic aberrations in lung cancer patients, we used array comparative genomic hybridization (array CGH) in 14 squamous cell lung carcinoma (SqC) tissues. Copy number gain and loss in chromosomal regions were detected, and the corresponding genes were confirmed by real time PCR. Several frequently altered loci, including gain of 3q (36% of samples), were found. The most frequently identified losses were found at 14q32.33 (21% of samples). The relative degree of chromosomal change was analyzed using log 2 ratios. High-level DNA amplifications (>0.8 log 2 ratio) were detected at 20 regions in 1p, 2q, 3q, 4q, 6q, 7p, 8q, 9p, 10q, 12q, 14q and 19p. We found that the fold change levels were highest at EVI1 (3q26.2), LPP (3q27-28) and FHF-1 (3q28) gene loci. Our results show that array CGH is a useful tool for identification of gene alteration in lung cancer, and that the above-mentioned genes might represent potential candidate genes for pathogenesis and diagnosis of lung cancer.

Genomic alterations in lung cancer tissues have been observed in various studies. To analyze the aberrations in the genome of lung cancer patients, we used array comparative genomic hybridization (array CGH) in 15 lung adenocarcinoma (AdC) tissues. Copy number gains and losses in chromosomal regions were detected and corresponding genes were confirmed by real-time polymerase chain reaction (PCR). As for the results, several frequently altered loci, including gain of 16p (46% of samples), were found, and the most common losses were found in 14q32.33 (26% of samples). High-level DNA amplifications (> 0.8 log2 ratio) were detected at 1p, 5p, 7p, 9p, 11p, 11q, 12q, 14q, 16p, 17q, 19q, 20p, 21q, and 22q. A subset of genes, gained or lost, was checked for over- or underrepresentation by means of real-time PCR. The degree of fold change was highest in ECGF1 (22q13.33), HOXA9 (7p15.2), MAFG (17q25.3), TSC2 (16p13.3), and ICAM1 (19p13.2) genes and the 16p chromosome terminal region (16p13.3pter). Taken together, these results show that array CGH could be used as a powerful tool for identification of genomic alteration for lung cancer, and the above-mentioned genes may represent potential candidate genes in the study of lung cancer pathogenesis and diagnosis.