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Recent Asian origin of chytrid fungi causing global amphibian declines
O’Hanlon, Simon J.,Rieux, Adrien,Farrer, Rhys A.,Rosa, Goncalo M.,Waldman, Bruce,Bataille, Arnaud,Kosch, Tiffany A.,Murray, Kris A.,Brankovics, Balá,zs,Fumagalli, Matteo,Martin, Michael D.,Wales American Association for the Advancement of Scienc 2018 Science Vol.360 No.6389
<P>Globalized infectious diseases are causing species declines worldwide, but their source often remains elusive. We used whole-genome sequencing to solve the spatiotemporal origins of themost devastating panzootic to date, caused by the fungus Batrachochytrium dendrobatidis, a proximate driver of global amphibian declines. We traced the source of B. dendrobatidis to the Korean peninsula, where one lineage, BdASIA-1, exhibits the genetic hallmarks of an ancestral population that seeded the panzootic. We date the emergence of this pathogen to the early 20th century, coinciding with the global expansion of commercial trade in amphibians, and we show that intercontinental transmission is ongoing. Our findings point to East Asia as a geographic hotspot for B. dendrobatidis biodiversity and the original source of these lineages that now parasitize amphibians worldwide.</P>
Waleed Raza,Xuefei Ma,Houbing Song,Amir Ali,Habib Zubairi,Kamal Acharya 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.1
The underwater acoustic wireless communication networks are generally formed by the different autonomous underwater acoustic vehicles, and transceivers interconnected to the bottom of the ocean with battery deployed modems. Orthogonal frequency division multiplexing (OFDM) has become the most popular modulation technique in underwater acoustic communication due to its high data transmission and robustness over other symmetrical modulation techniques. To maintain the operability of underwater acoustic communication networks, the power consumption of battery-operated transceivers becomes a vital necessity to be minimized. The OFDM technology has a major lack of peak to average power ratio (PAPR) which results in the consumption of more power, creating non-linear distortion and increasing the bit error rate (BER). To overcome this situation, we have contributed our symmetry research into three dimensions. Firstly, we propose a machine learning-based underwater acoustic communication system through long short-term memory neural network (LSTM-NN). Secondly, the proposed LSTM-NN reduces the PAPR and makes the system reliable and efficient, which turns into a better performance of BER. Finally, the simulation and water tank experimental data results are executed which proves that the LSTM-NN is the best solution for mitigating the PAPR with non-linear distortion and complexity in the overall communication system.
Waleed Rashideh International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.2
It is difficult to transform a blockchain initiative from the feasibility stage to the fully commercialized the technology's products or services, especially considering the significant investment required and the lack of studies on the benefits and barriers from deployment perspective. Whereas some organizations have come up with their own solutions to moving beyond the feasibility stage, commercial applications do not yet exist and few organizations are willing to invest beyond the prototype phase and fill in the gap between the expected and actual business value of these types of projects. This study aims to develop a blockchain model using a survey to gather qualitative data on experts' opinions on the deployment of blockchain technology. Our model will measure how business professionals could take advantage of blockchain's disruptive technology to develop business opportunities. This study's contribution is to show blockchain technology's potential strategic business value. The findings from this exploration include the prospective for delivering comprehensions to businesses for different creating investment choices on the embracing of the blockchain technology.
Waleed Seif Eldin Mohamed Mostafa,Mohammed Hassan Saiem Al-Dahr,Dalia Abdel Hamid Omran,Zeinab Fathy Abdullah,Suzan Hamdy Elmasry,Mohamed Nabil Ibrahim 대한간학회 2020 Clinical and Molecular Hepatology(대한간학회지) Vol.26 No.1
Background/Aims: Epigenetics involved in multiple normal cellular processes. Previous research have revealed the role of hepatitis C virus infection in accelerating methylation process and affecting response to treatment in chronic hepatitis patients. This work aimed to elucidate the role of promoter methylation (PM) in response to antiviral therapy, and its contribution to the development of fibrosis through hepatocarcinogenesis-related genes. Methods: A total of 159 chronic hepatitis Egyptian patients versus 100 healthy control group were included. The methylation profile of a panel 9 genes (SFRP1, p14, p73, APC, DAPK, RASSF1A, LINE1, O6MGMT, and p16) was detected in patients’ plasma using methylation-specific polymerase chain reaction (MSP). Results: Clinical and laboratory findings were gathered for patients with combined pegylated interferon and ribavirin antiviral therapy. Regarding the patients’ response to antiviral therapy, the percentage of non-responders for APC, O6MGMT, RASSF1A, SFRP1, and p16 methylated genes were significantly higher versus responders (P<0.05). Of the 159 included patients, the most frequent methylated genes were SFRP1 (102/159), followed by p16 (100/159), RASSF1A (98/159), then LINE1 (81/159), P73 (81/159), APC (78/159), DAPK (66/159), O6MGMT (66/159), and p14 (54/159). A total of 67/98 (68.4%) cases of RASSF1A methylated gene (P=0.0.024), and 62/100 (62%) cases of P16 methylated gene (P=0.03) were associated with mild-degree fibrosis. Conclusions: To recapitulate, the PM of SFRP1, APC, RASSF1A, O6MGMT, and p16 genes increases in chronic hepatitis C patients, and can affect patients’ response to antiviral therapy. The RASSF1A and P16 genes might have a role in the distinction between mild and marked fibrosis.
( Waled Hussein Al-arashi ),( Chai Wuh Shing ),( Shahrel Azmin Suandi ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.11
Although two-dimensional principal component analysis (2DPCA) has been shown to be successful in face recognition system, it is still very sensitive to illumination variations. To reduce the effect of these variations, texture-based techniques are used due to their robustness to these variations. In this paper, we explore several texture-based techniques and determine the most appropriate one to be used with 2DPCA-based techniques for face recognition. We also propose a new distance metric computation in 2DPCA called Row Assembled Matrix Distance (RowAMD). Experiments on Yale Face Database, Extended Yale Face Database B, AR Database and LFW Database reveal that the proposed RowAMD distance computation method outperforms other conventional distance metrics when Local Line Binary Pattern (LLBP) and Multi-scale Block Local Binary Pattern (MB-LBP) are used for face authentication and face identification, respectively. In addition to this, the results also demonstrate the robustness of the proposed RowAMD with several texture-based techniques.
Waleed Ahmed El-Said,최정우 한국생물공학회 2014 Biotechnology and Bioprocess Engineering Vol.19 No.6
Rat pheochromocytoma PC12 cells havefrequently been used as a dopaminergic neuron model dueto their various functions, including the synthesis, storage,and secretion of catecholamines. Furthermore, PC12 cellsrelease a measurable amount of dopamine (DA) in responseto some chemicals. PC12 cells are thus considered to beone of the most common invitro models for studyingneurotransmitter release. Here, we applied Surface-enhancedRaman Spectroscopy (SERS) to determine with highsensitivity the in-situ short-time effects of cisplatin (cisdiamine-dichloroplatinum), bisphenol-A, and cyclophosphamideon the extracellular DA level released from PC12cells. In addition, using the SERS technique, changes in thebiochemical composition of the PC12 cell lysates wereinvestigated to determine the intracellular DA level. Goldnano-patterned substrates were fabricated based on electrochemicaldeposition of Au nanorods onto ITO substrates;these substrates were then used as SERS-active surfaces. The Raman spectroscopy results demonstrated that thechanges in the Raman spectra depending on the treatmentagent were in agreement with the HPLC results on theextracellular DA level. Therefore, the SERS technique canovercome the limitations of other detection techniques, andcan be used with cellular nanoarrays to study the effect ofa wide range of chemicals.