Promoter Methylation Status of DNA Repair Gene (hMLH1) in Gastric Carcinoma Patients of the Kashmir Valley

Wani, Majid,Afroze, Dil,Makhdoomi, Muzamil,Hamid, Iqra,Wani, Bilal,Bhat, Gulzar,Wani, Rauf,Wani, Khursheed Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.8

Cancer is a multi-factorial disease and variation in genetic susceptibility, due to inherited differences in the capacity to repair mismatches in the genome, is an important factor in the development of gastric cancer (GC), for example. Epigenetic changes, including aberrant methylation of 5/CpG islands in the promoter regions of mismatch repair (MMR) genes like hMLH1, have been implicated in the development of various types of GC. In the present study we evaluated the role of hMLH1 promoter hypermethylation in Kashmiri GC patients and controls, and assessed correlations with various dietary and lifestyle factors. The study included 70 GC patients (56 males and 14 females; age ($mean{\pm}S.D$) $50{\pm}11.4$ years). Distinction between methylated and unmethylated was achieved with MS-PCR and DNA band patterns. The Chi-square test was applied to assess the risk due to promoter hypermethylation. We found a strikingly high frequency of promoter hypermethylation in GC cases than in normal samples (72.9% (51/70) in GC cases vs 20% (14/70) in normal samples (p=0.0001).We also observed a statistically significant association between methylated hMLH1 gene promoter and smoking, consumption of sundried vegetables and hot salted tea with the risk of GC. This study revealed that hMLH1 hypermethylation is strongly associated with GC and suggested roles for epigenetic changes in stomach cancer causation in the Kashmir valley.

Isoform-specific regulation of Akt by PDGF-induced reactive oxygen species

Wani, R.,Qian, J.,Yin, L.,Bechtold, E.,King, S.B.,Poole, L.B.,Paek, E.,Tsang, A.W.,Furdui, C.M. National Academy of Sciences 2011 PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF Vol.108 No.26

Configuration assessment of MR dampers for structural control using performance-based passive control strategies

Wani, Zubair R.,Tantray, Manzoor A.,Iqbal, Javed,Farsangi, Ehsan Noroozinejad Techno-Press 2021 Structural monitoring and maintenance Vol.8 No.4

The use of structural control devices to minimize structural response to seismic/dynamic excitations has attracted increased attention in recent years. The use of magnetorheological (MR) dampers as a control device have captured the attention of researchers in this field due to its flexibility, adaptability, easy control, and low power requirement compared to other control devices. However, little attention has been paid to the effect of configuration and number of dampers installed in a structure on responses reduction. This study assesses the control of a five-story structure using one and two MR dampers at different stories to determine the optimal damper positions and configurations based on performance indices. This paper also addresses the fail-safe current value to be applied to the MR damper at each floor in the event of feedback or control failure. The model is mathematically simulated in SIMULINK/MATLAB environment. Linear control strategies for current at 0 A, 0.5 A, 1 A, 1.5 A, 2 A, and 2.5 A are implemented for MR dampers, and the response of the structure to these control strategies for different configurations of dampers is compared with the uncontrolled structure. Based on the performance indices, it was concluded that the dampers should be positioned starting from the ground floor, then the 2^nd floor followed by 1^st and rest of the floors sequentially. The failsafe value of current for MR dampers located in lower floors (G+1) should be kept at a higher value compared to dampers at top floors for effective passive control of multi-story structures.

GASEOUS EMISSIONS AND PARTICLE MICROSTRUCTURE CHARACTERISTICS OF PODE/DIESEL BLEND FUEL

Wanying Gao,Junheng Liu,Ping Sun,Chen Yang,Jia Fang 한국자동차공학회 2019 International journal of automotive technology Vol.20 No.3

Polyoxymethylene dimethyl ethers (PODE) has good application prospects as an alternative to diesel fuel with a great potential to achieve clean combustion on diesel engines. In current study, the effects of PODE/diesel blends with PODE volume fraction at 10 %, 20 % and 30 % on performance and emission characteristics are investigated on a common-rail diesel engine under different engine loads. The particle size distribution and microstructure characteristics of the combustion particles are also analized. Results show that the PODE/diesel blends have shorter ignition delay, higher in-cylinder maximum burst pressure and advanced heat release. The brake thermal efficiency increases slightly with the increment of PODE blending ratio. There is a simultaneous improvement in CO, HC and soot emissions when fueling blend fuels. A more obvious shifting tendency toward the direction of small particle size can be found in number concentration, mass density and mass cumulative distribution of particles with increment of PODE. The microstructure of the blend fuels combustion particles is mainly in the form of agglomerates. Compared with diesel fuel, combustion particles of blend fuels have bigger layer spacing and microcrystalline curvature as well as smaller crystallite size, also the box dimension of the particles and the degree of agglomeration increase.

Joint Hierarchical Semantic Clipping and Sentence Extraction for Document Summarization

Wanying Yan,Junjun Guo 한국정보처리학회 2020 Journal of information processing systems Vol.16 No.4

Extractive document summarization aims to select a few sentences while preserving its main information on a given document, but the current extractive methods do not consider the sentenceinformation repeat problem especially for news document summarization. In view of the importance and redundancy of news text information,in this paper, we propose a neural extractive summarization approach with joint sentence semantic clipping and selection, which can effectively solve the problem of news text summary sentence repetition. Specifically, a hierarchical selective encoding network is constructed for both sentencelevel and documentlevel document representations, and data containing important information is extracted on news text; a sentence extractor strategy is then adopted for joint scoring and redundant information clipping. This way, our model strikes a balance between important information extraction and redundant information filtering. Experimentalresults on both CNN/Daily Mail dataset and Court Public Opinion News dataset we built are presented to show the effectiveness of our proposed approach in terms of ROUGE metrics, especially for redundant information filtering.

EXTENSION OF GRACE'S THEOREM TO BI-COMPLEX POLYNOMIALS

Wani, Zahid Manzoor,Shah, Wali Mohammad The Kangwon-Kyungki Mathematical Society 2022 한국수학논문집 Vol.30 No.2

In this paper, we prove some results concerning the zeros of Bi-complex polynomials. These results as special cases include Grace's theorem and related results.

Exploring Resident’s Daily Activity-Travel Behavior: Activity Pattern, Duration and Competition

Wanying Li,Hongzhi Guan,Yan Han,Haiyan Zhu,Pengfei Zhao 대한토목학회 2021 KSCE Journal of Civil Engineering Vol.25 No.8

This paper aims to deeply analyze the regularity of residents' daily activity-travel behaviors to help traffic management departments predict travel demand and evaluate transportation policies. Taking time use data in American as empirical analysis, the influencing factors such as residents’ activity pattern, duration and competition were discussed and analyzed based on the competing risk model. Results can be concluded that: a) people feel happy and meaningful during most of the activities, while they feel sad or pain in relatively rare occasions; b) there is no significant difference between young people and the elderly as for the total number of activities during one day; c) estimation results show that personal, household and activity characteristics have significant influence on activity duration and pattern, and the pattern of last activity (N) has a great influence on the occurrence of next activity (N+1); d) the competition between residents' daily activities is confirmed based on the competing risk model, and travel is closely related to various activities and can be seen as the derived demand of various activities. In all combinations of activity-travel chain schedule, personal - household (30.0%), household - recreation (25.9%), work - travel (45.2%), purchase - travel (33.7%), recreation - travel (22.5%), volunteer - travel (55.3%) and travel - purchase (28.4%) have the highest proportion respectively.

Zero-inflated Poisson-Akash distribution for count data with excessive zeros

Wani Mohammad Kafeel,Ahmad Peer Bilal 한국통계학회 2023 Journal of the Korean Statistical Society Vol.52 No.3

Over-dispersed models are often used whenever the variation is more than what in point of fact is anticipated by a model. One of the reasons behind experiencing over-dispersion is an excessive number of zeros, hence when modeling this observed fact, we use zero-inflated models rather than more traditional ones. As a part of our research, we have suggested a zero-inflated variant of Poisson-Akash distribution that was introduced in 2015. We have calculated crucial statistical characteristics of the suggested model which are not confined to generating functions, over-dispersion property, moments and associated measures. The parametric estimation has been carried out using the maximum likelihood estimation. Two different simulation exercises have been carried out, one to test the performance of maximum likelihood estimates and the other for testing the compatibility of our devised model when data has been simulated from different zero-inflated models. For the purpose of testing the compatibility of our proposed model, we have used four real life data sets and considered different performance measures like Goodness-of-fit, Akaike’s information criterion, Bayesian information criterion, Dispersion index etc. The fitting results have been compared with some other models of interest. Moreover, we have tested the significance of the zero-inflation parameter using Likelihood ratio test, Score test and the Wald test itself.

Short-Term Holiday Travel Demand Prediction for Urban Tour Transportation: A Combined Model Based on STC-LSTM Deep Learning Approach

Wanying Li,Hongzhi Guan,Yan Han,Haiyan Zhu,Ange Wang 대한토목학회 2022 KSCE Journal of Civil Engineering Vol.26 No.9

Short-term prediction of holiday travel demand is a complex but key issue to the planning and management of tour transportation system in big cities. This paper develops an improved spatial and temporal correlation long short-term memory model (STC-LSTM) to forecast short-term holiday travel demand based on deep learning approach. Analysis results show six kinds of tourist flow correlations appears in different sets of tourist attractions, and 27.94 percent of the tourist attractions have mid- or high- positive tourist flow correlation with others, meaning that a positive synchronization mechanism exists between suburban tourist attractions in Beijing. The proposed model predicts the holiday travel demand on the basis of the historical data of the spatial and temporal related tourist flows, and the auxiliary data including meteorological data, temporal data, and Internet search index. Based on actual case study with tourist flow data of the suburban tourist attraction in Beijing, the proposed STC-LSTM is carried out to compared with other conventional prediction approaches. Results show that the proposed approach can improve the prediction accuracy and well capture the different spatial and temporal correlations of tourist flows.

Status of Exotic Flora in Kashmir Valley

Wani, Nasir Rashid,Mushtaq, Shah Murtaza Institute of Forest Science 2012 Journal of Forest Science Vol.28 No.1

The Kashmir Himalaya, known for its indigenous and endemic flora, also provides home to a large number of exotic plants, which exhibit a wide taxonomical and distributional stretch. Although, some preliminary studies have been carried out in the region on some aspects of its exotic flora, the inventorization and documentation of its exotic have received a little or negligible attention. There is a lot of scope of these exotic plant species in Kashmir valley, but lack of authentic identification has been as a big hurdle in their scientific management. It is in this backdrop that the present floristic study was carried out to identify, inventorize, document and characterize the exotic plant species grown in the Valley. The present study has revealed that Kashmir Valley grows 317 exotic plant species, which belong to 209 genera in 85 families. Dicotyledons are the largest group, represented by 252 species in 163 genera and 67 families. Monocotyledons comprise 52 species in 37 genera and 13 families. Gymnosperms are the smallest group, with 13 species distributed in 9 genera and 5 families. Asteraceae is the largest family containing 33 exotic species.