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Allelopathic Potential of Adhatoda vasica NEES
Ayaz,Sajjida,Hussain, Farrukh,Ilahi, Ihsan,Kil, Bong-Seop 圓光大學校 基礎自然科學硏究所 1989 基礎科學硏究誌 Vol.8 No.3
파키스탄에 나는 Adhatoda vasica는 열대, 아열대성 관목으로 덤불을 이루고 있는데 그 주위에는 식물이 비교적 드물고 잘 자라지 못한다. 그래서 이 식물의 수용추출액, 빗물세탈액, 낙엽 낙지 및 임상토양을 써서 5종 실험 식물의 종자발아, 유식물 생장, 생체량, 수분과 엽록소 함량을 조사해 본 결과 상당히 억제됨을 알았다. 크로마토그래피 분석으로 caffeic acid등 5종의 화학물질을 확인했으며 이들은 A. vasica식물이 우점하며 그 주위 식물에 미치는 영향 즉 알에로패티작용에 일차적으로 관계가 있다고 본다. Adhatoda vasica Nees is a shrubby component of tropical and subtropical vegetation in Pakistan. It harbours relatively few unhealthy associated species in and around its thickets. Aqucous extracts, ram leachates, litter from shoots and soil underneath it invariably reduced germination, early growth, biomass, moisture and chlorophyll contents of Pemnisetum americanum, Setaria italica, Zea mays, Brassica campestris and Triticum vulgare in different laboratory experiments. Chromatographic analysis revealed the presence of caffeic, ferulic, vanillic, p-coumaric, p-OH-benzoic, and tannic acids in aqucous extracts. The phytotoxicity was related to the test species used, part assayed and parameter measured. It is suggested that the preclusion of the associated species and the dominance of A. vasica is primarily due to allelopathy. Negative grazing also provides better chances for its establishment.
Hussain, Ayaz,Lee, Kyungmin,Kim, Sang-Hyo,Chang, Seok-Ho,Kim, Dong In IET 2017 IET COMMUNICATIONS Vol.11 No.10
<P>In this study, the performance of a dual-hop amplify-and-forward relaying system with beamforming is analysed, where only the source and destination are equipped with multiple antennas and both hops are subject to - fading channels. The - fading model is a general fading model that can accurately model practical small scale fading in line-of-sight environments and accommodates Rician, Nakagami-m, and Rayleigh as special cases. New exact analytical expressions on the outage probability (OP), average symbol error rate (SER), and average capacity are derived. Moreover, asymptotic results for the OP, SER, and average capacity are also derived in simpler forms in terms of basic elementary functions which make it easy to understand the system behaviour and the impact of the channel parameters. These analytical results are general and can emulate different symmetric and asymmetric fading scenarios as special cases such as Rician/Rician, Nakagami-m/Nakagami-m, Rayleigh/Rayleigh, and mixed -, Rician, Nakagami-m, and Rayleigh fading links.</P>
Risk factors for intensive care unit admission and mortality in hospitalized COVID-19 patients
Ayaz Ahmed,Arshad Ainan,Malik Hajra,Ali Haris,Hussain Erfan,Jamil Bushra 대한중환자의학회 2020 Acute and Critical Care Vol.35 No.4
Background: This study investigated the clinical features and outcome of hospitalized coronavirus disease 2019 (COVID-19) patients admitted to our quaternary care hospital. Methods: In this retrospective cohort study, we included all adult patients with COVID-19 infection admitted to a quaternary care hospital in Pakistan from March 1 to April 15, 2020. The extracted variables included demographics, comorbidities, presenting symptoms, laboratory tests and radiological findings during admission. Outcome measures included in-hospital mortality and length of stay. Results: Sixty-six COVID-19 patients were hospitalized during the study period. Sixty-one percent were male and 39% female; mean age was 50.6±19.1 years. Fever and cough were the most common presenting symptoms. Serial chest X-rays showed bilateral pulmonary opacities in 33 (50%) patients. The overall mortality was 14% and mean length of stay was 8.4±8.9 days. Ten patients (15%) required intensive care unit (ICU) care during admission, of which six (9%) were intubated. Age ≥60 years, diabetes, ischemic heart disease, ICU admission, neutrophil to lymphocyte ratio ≥3.3, and international normalized ratio ≥1.2 were associated with increased risk of mortality. Conclusions: We found a mortality rate of 14% in hospitalized COVID-19 patients. COVID-19 cases are still increasing exponentially around the world and may overwhelm healthcare systems in many countries soon. Our findings can be used for early identification of patients who may require intensive care and aggressive management in order to improve outcomes.
Adhatoda visica NEES 의 알레로페티 효과
Ayaz Sajjida,Farrukh Hussain,Ihsan Ilahi,길봉섭 (Bong Seop Kil) 한국식물학회 1989 Journal of Plant Biology Vol.32 No.2
Adhatoda vasica Nees is a shrubby component of tropical and subtropical vegetation in Pakistan. It harbours relatively few unhealthy associated species in and around its thickets. Aqueous extracts, rain leachates, litter from shoots and soil underneath it invariably reduced germination, early growth, biomass, moisture and chlorophyll contents of Pennisetum americamm, Setaria italica, Zea mays, Brassica campestris and Triticum vulgare in different laboratory experiments. Chromatographic analysis revealed the presence of caffeic, ferulic, vanillic, p-coumaric, p-OH-benzoic, and tannic acids in aqueous extracts. The phytotoxicity was related to the test species used, part assayed and parameter measured. It is suggested that the preclusion of the associated species and the dominance of A. vasica is primarily due to allelopathy. Negative grazing also provides better chances for its establishment.
Muhammad, Wazir,Hussain, Ayaz,Shah, Syed Ali Raza,Shah, Jalal,Bhutto, Zuhaibuddin,Thaheem, Imdadullah,Ali, Shamshad,Masrour, Salman International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.11
Recently, image super-resolution techniques used in convolutional neural networks (CNN) have led to remarkable performance in the research area of digital image processing applications and computer vision tasks. Convolutional layers stacked on top of each other can design a more complex network architecture, but they also use more memory in terms of the number of parameters and introduce the vanishing gradient problem during training. Furthermore, earlier approaches of single image super-resolution used interpolation technique as a pre-processing stage to upscale the low-resolution image into HR image. The design of these approaches is simple, but not effective and insert the newer unwanted pixels (noises) in the reconstructed HR image. In this paper, authors are propose a novel single image super-resolution architecture based on synchronized depthwise separable convolution with Dense Skip Connection Block (DSCB). In addition, unlike existing SR methods that only rely on single path, but our proposed method used the synchronizes path for generating the SISR image. Extensive quantitative and qualitative experiments show that our method (SDCN) achieves promising improvements than other state-of-the-art methods.
LDCSIR: Lightweight Deep CNN-based Approach for Single Image Super-Resolution
Muhammad, Wazir,Shaikh, Murtaza Hussain,Shah, Jalal,Shah, Syed Ali Raza,Bhutto, Zuhaibuddin,Lehri, Liaquat Ali,Hussain, Ayaz,Masrour, Salman,Ali, Shamshad,Thaheem, Imdadullah International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.spc12
Single image super-resolution (SISR) is an image processing technique, and its main target is to reconstruct the high-quality or high-resolution (HR) image from the low-quality or low-resolution (LR) image. Currently, deep learning-based convolutional neural network (CNN) image super-resolution approaches achieved remarkable improvement over the previous approaches. Furthermore, earlier approaches used hand designed filter to upscale the LR image into HR image. The design architecture of such approaches is easy, but it introduces the extra unwanted pixels in the reconstructed image. To resolve these issues, we propose novel deep learning-based approach known as Lightweight deep CNN-based approach for Single Image Super-Resolution (LDCSIR). In this paper, we propose a new architecture which is inspired by ResNet with Inception blocks, which significantly drop the computational cost of the model and increase the processing time for reconstructing the HR image. Compared with the other state of the art methods, LDCSIR achieves better performance in terms of quantitively (PSNR/SSIM) and qualitatively.
LDCSIR: Lightweight Deep CNN-based Approach for Single Image Super-Resolution
Muhammad, Wazir,Shaikh, Murtaza Hussain,Shah, Jalal,Shah, Syed Ali Raza,Bhutto, Zuhaibuddin,Lehri, Liaquat Ali,Hussain, Ayaz,Masrour, Salman,Ali, Shamshad,Thaheem, Imdadullah International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.12
Single image super-resolution (SISR) is an image processing technique, and its main target is to reconstruct the high-quality or high-resolution (HR) image from the low-quality or low-resolution (LR) image. Currently, deep learning-based convolutional neural network (CNN) image super-resolution approaches achieved remarkable improvement over the previous approaches. Furthermore, earlier approaches used hand designed filter to upscale the LR image into HR image. The design architecture of such approaches is easy, but it introduces the extra unwanted pixels in the reconstructed image. To resolve these issues, we propose novel deep learning-based approach known as Lightweight deep CNN-based approach for Single Image Super-Resolution (LDCSIR). In this paper, we propose a new architecture which is inspired by ResNet with Inception blocks, which significantly drop the computational cost of the model and increase the processing time for reconstructing the HR image. Compared with the other state of the art methods, LDCSIR achieves better performance in terms of quantitively (PSNR/SSIM) and qualitatively.
Link scheduling schemes with on-off interference map for device-to-device communications
Jin-Whan Kang,Hussain, Ayaz,Sang-Hyo Kim IET 2015 IET COMMUNICATIONS Vol.9 No.3
<P>New distributed link scheduling schemes based on a recently proposed device-to-device (D2D) communication technology, FlashLinQ are studied. FlashLinQ is an orthogonal frequency division multiplexing-based synchronous D2D communication system, which achieves a high data rate at longer communication ranges over a licensed spectrum. In this method, some links are selected for data traffic for efficient frequency reuse to avoid interference in D2D links. Where every link is assigned a scheduling priority, so in TX (transmitter) and RX (receiver) yielding, the links which are highly interfered by higher priority links give up communication. However, this technique causes inefficiency in the resource reuse from the cascade yielding problem because link scheduling is performed individually by its RX and TX nodes. To deal with this problem, the authors propose two new link scheduling schemes based on a binary matrix called on-off interference map (I-Map), which indicates strong interference between links. In these schemes, each TX generates a binary I-Map matrix with the collective information from TX and RX blocks. With the common I-Map matrix that displays inter-link interference between D2D links, the proposed schemes achieve better performance as compared to the conventional distributed FlashLinQ scheduling scheme.</P>