2,513 research outputs found
Chinese literary works translated into Baba Malay: a bibliographical study
Analyses 68 unique titles of Baba translated works published between 1889 and 1950. The titles are held in the libraries of the University of Malaya (UM), Science University Malaysia (USM), National University of Malaysia (UKM), the Dewan Bahasa dan Pustaka (DBP), National University of Singapore (NUS), National Library of Singapore (NLS) and the British Library (BL). The results reveal three periods of active publication of Baba translated works. A total of 18 works were translated before World War I, followed by 10 just after the war, 39 titles were published before the break of the World War II and 1 was identified in 1950. There were 103 persons involved in the 68 translated works, some of whom are responsible for more than one title. The most prominent translators were Chan Kim Boon, Wan Boon Seng, Seow Chin San and Lee Seng Poh. Some of the translators were also be editors, illustrators or editors. There were 31 publishers and 21 printing presses involved, all were located in Singapore. The most active publishers were Wan Boon Seng, Kim Seck Chy Press and Nanyang Romanised Malay Book Co. The translated works mainly cover historical classical Chinese stories, chivalrous stories, romances, folklore and legends. The titles were priced between 10 cents to 2 dollars in Straits currency. The University of Malaya Library held the largest number of unique title (62) out of which 15 were unique titles
Chemical cleaning of RO membranes fouled by wastewater effluent: Achieving higher efficiency with dual-step cleaning
The effect of different modes of cleaning of RO membranes fouled by wastewater treatment plant effluent has been investigated. Characterization of the wastewater effluent revealed the presence of foulants containing carboxylic and phenolic functional groups as well as calcium ions. The chemical cleaning agents, sodium hydroxide (NaOH), ethylenediaminetetraacetic acid (EDTA), sodium dodecyl sulfate (SDS), and sodium chloride (NaCl), were selected as models for alkaline solutions, metal chelating agents, surfactants, and salt cleaning, respectively. Specifically, we examined the impact of a sequence or a combination of two cleaning agents compared to the use of single cleaning agents. Increased cleaning efficiency was demonstrated when two cleaning agents were applied in a certain order and mixture. In particular, it was shown that addition of NaOH can enhance the overall cleaning performance when introduced with other chemical agents, due to its ability to loosen the fouling layer. Cleaning efficiency as high as 94% was obtained by simply increasing the pH of an NaCl cleaning solution, compared to 65% in the case of the individual salt solution with no pH adjustment. On the other hand, combining chemical cleaning agents was not advantageous in some cases, possibly because of the competing cleaning mechanisms of some of the agents. The most and the least effective cleaning modes were highlighted, suggesting a rationale for the design of chemical cleaning of RO membranes fouled by wastewater effluent. This study demonstrates that careful selection of cleaning agents and the steps through which those agents are applied allows the regeneration of high water productivity after fouling while minimizing both the cleaning time and the amount of chemicals
Angiotensin II induces soluble fms-Like tyrosine kinase-1 release via calcineurin signaling pathway in pregnancy
Maternal endothelial dysfunction in preeclampsia is associated with increased soluble fms-like tyrosine kinase-1 (sFlt-1), a circulating antagonist of vascular endothelial growth factor and placental growth factor. Angiotensin II (Ang II) is a potent vasoconstrictor that increases concomitant with sFlt-1 during pregnancy. Therefore, we speculated that Ang II may promote the expression of sFlt-1 in pregnancy. Here we report that infusion of Ang II significantly increases circulating levels of sFlt-1 in pregnant mice, thereby demonstrating that Ang II is a regulator of sFlt-1 secretion in vivo. Furthermore, Ang II stimulated sFlt-1 production in a dose- and time-dependent manner from human villous explants and cultured trophoblasts but not from endothelial cells, suggesting that trophoblasts are the primary source of sFlt-1 during pregnancy. As expected, Ang II-induced sFlt-1 secretion resulted in the inhibition of endothelial cell migration and in vitro tube formation. In vitro and in vivo studies with losartan, small interfering RNA specific for calcineurin and FK506 demonstrated that Ang II-mediated sFlt-1 release was via Ang II type 1 receptor activation and calcineurin signaling, respectively. These findings reveal a previously unrecognized regulatory role for Ang II on sFlt-1 expression in murine and human pregnancy and suggest that elevated sFlt-1 levels in preeclampsia may be caused by a dysregulation of the local renin/angiotensin system
Pesta Ang Pau 2010 Dapat Sambutan Pelajar Pelbagai Bangsa
SERDANG, 25 Februari – Sambutan menggalakkan dari pelajar Universiti Putra Malaysia (UPM) berlainan bangsa ke Program Pesta Ang Pau 2010 menyemarakkan semangat Satu Malaysia dengan penyertaan pelbagai kaum.
Timbalan Menteri Belia dan Sukan, Datuk Wee Jeck Seng berkata program Pesta Ang Pau 2010 anjuran Persatuan Senibudaya Zhong Hua UPM berjaya memperkenalkan tradisi masyarakat cina untuk dikongsi dengan warga UPM pelbagai kaum dengan berkesan
Fouling and cleaning of RO membranes fouled by mixtures of organic foulants simulating wastewater effluent
Video Analytics for Customer Emotion and Satisfaction at Contact Centers
Due to the high levels of competition in a global market, companies have put more emphasis on building strong customer relationships and increasing customer satisfaction levels. With technological improvements in information and communication technologies, a highly anticipated key contributor to improve the customer experience and satisfaction in service episodes is through the application of video analytics, such as to evaluate the customer's emotions over the full service cycle. Currently, emotion recognition from video is a challenging research area. One of the most effective solutions to address this challenge is to utilize both the audio and visual components as two sources contained in the video data to make an overall assessment of the emotion. The combined use of audio and visual data sources presents additional challenges, such as determining the optimal data fusion technique prior to classification. In this paper, we propose an audio-visual emotion recognition system to detect the universal six emotions (happy, angry, sad, disgust, surprise, and fear) from video data. The detected customer emotions are then mapped and translated to give customer satisfaction scores. The proposed customer satisfaction video analytics system can operate over video conferencing or video chat. The effectiveness of our proposal is verified through numerical results.No Full Tex
A Big Data Layered Architecture and Functional Units for the Multimedia Internet of Things
The escalating growth of multimedia content in Internet of Things (IoT) applications leads to a huge volume of unstructured data being generated. Unstructured Big data has no particular format or structure and can be in any form such as text, audio, images, and video. Furthermore, current IoT systems cannot successfully realize the notion of having ubiquitous connectivity of everything if they are not capable to include 'multimedia things'. In this paper, we address two issues by proposing a new architecture for the Multimedia Internet of Things (MIoT) with Big multimodal computation layer. We first introduce MIoT as a novel paradigm in which smart heterogeneous multimedia things can interact and cooperate with one another and with other things connected to the Internet to facilitate multimedia-based services and applications that are globally available to the users. The MIoT architecture consists of six layers. The computation layer is specially designed for Big multimodal analytics. This layer has four important functional units: Data Centralized Unit, Multimodal Data Aggregation Unit, Multimodal Data Divide & Conquer Computation Unit, and Fusion & Decision Making Unit. A novel and highly scalable technique called the Divide & Conquer Principal Component Analysis (DC-PCA) for feature extraction in the divide and conquer mechanism is proposed to be used together with the Divide & Conquer Linear Discriminant Analysis (DC-LDA) for multimodal Big data analytics. Experiments are conducted to confirm the good performance of these techniques in the functional units of the Divide & Conquer computational mechanisms. The final section of the paper gives application on a camera sensing IoT platform and real-world data analytics on multicore architecture implementations.No Full Tex
Abstract 5880: Acquired chemotherapeutic drug resistance in colorectal cancer is regulated by epithelial-to-mesenchymal transition and altered cellular pathways
Abstract
Colorectal cancer (CRC) is the third most common cancer and the second leading cause of cancer-related death in the western world. Chemotherapy is the mainstay in the treatment of metastasized CRC. However, cancer cells acquire resistance to treatment by various mechanisms resulting in treatment failure. Even though the molecular mechanisms regulating acquired drug resistance is critical to overcome chemoresistance, it is poorly understood. We developed a panel of seven CRC cells resistant to 5-FU. The parental and 5-FU resistant CRC cells were assayed for proteins known for their involvement in chemotherapeutic resistance. In addition, an unbiased quantitative proteomics and DNA methylation analysis was performed on the panel of seven parental and 5-FU resistant CRC cells. The integrated analysis revealed multiple mechanisms contributing to chemotherapeutic drug resistance including epithelial-to-mesenchymal transition (EMT), deregulation of apoptosis, increased survival autophagy and epigenetic modifications resulting in altered drug metabolite potency. Inhibitors of EMT and autophagy sensitized the 5-FU resistant CRC cells. Furthermore, CRIPSR based gene knockouts of these candidate genes (both up and downregulated) either sensitized the CRC cells or rendered them resistant to 5-FU. As a follow up, PDX mouse models were established and made resistant to 5-FU. Follow up quantitative proteomics and biochemical validations of 5-FU resistant PDX tissue lysates confirmed the role of EMT in acquired chemoresistance. Overall, this project unravelled multiple mechanisms by which CRC cells may become resistant to 5-FU. Importantly, some of these mechanisms are also conserved in many cancer types and hence targeting these mechanisms can overcome chemoresistance and increase patient survival rates.
Citation Format: Lahiru Gangoda, Nidhi Mathew, Michael Liem, Shiva Keertikumar, Ching-Seng Ang, John Mariadason, Suresh Mathivanan. Acquired chemotherapeutic drug resistance in colorectal cancer is regulated by epithelial-to-mesenchymal transition and altered cellular pathways [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5880. doi:10.1158/1538-7445.AM2017-5880</jats:p
UTILISING Zn AND Cu PRODU T IN THE CORN MEAL SUBSTRATE AT Saccharomyces cerev s ae BIOPRO ESS AND ITS IMPLEMENTATION ON INTERNAL QUALITY OF BROILER
This research was conducte to find out the effect and optimal percentage of adding Zn and Cu
proteinat supplement product of fermentation by Saccharomyces cerev s ae in the ration on internal
quality of the broiler.The experiment use 125 broiler day ol chicken with a Completely Randomize
Design.The ration treatments were R0 (control),R1 (99%R0 +1%supplement Zn and Cu proteinat),R2
(98%R0 +2%supplement Zn and Cu proteinat),R3 (97%R0 +3%supplement Zn and Cu proteinat)and
R4 (96%R0 +4%supplement Zn and Cu proteinat)where each treatment was repeate five times and
each replication consiste of five broiler chicks.Variable analysis were body cut weight,carcass
percentage,liver relative weight,and the content of cholesterol broiler meat.Conclusion of the research
showe that by using 3%of Zn and Cu proteinat supplement substrat in the ration gave the best internal
quality of broiler,increase body cut weight,carcass percentage,otherwise liver relative weight and the
content of cholesterol broiler meat were normal.
Keywords :Zn and Cu prote nat supplement,rat ons ,bro ler nternal qual t
Computer vision and machine learning for viticulture technology
This paper gives two contributions to the state-of-the-art for viticulture technology research. First, we present a comprehensive review of computer vision, image processing, and machine learning techniques in viticulture. We summarize the latest developments in vision systems and techniques with examples from various representative studies, including, harvest yield estimation, vineyard management and monitoring, grape disease detection, quality evaluation, and grape phenology. We focus on how computer vision and machine learning techniques can be integrated into current vineyard management and vinification processes to achieve industry relevant outcomes. The second component of the paper presents the new GrapeCS-ML database which consists of images of grape varieties at different stages of development together with the corresponding ground truth data (e.g., pH and Brix) obtained from chemical analysis. One of the objectives of this database is to motivate computer vision and machine learning researchers to develop practical solutions for deployment in smart vineyards. We illustrate the usefulness of the database for a color-based berry detection application for white and red cultivars and give baseline comparisons using various machine learning approaches and color spaces. This paper concludes by highlighting future challenges that need to be addressed prior to successful implementation of this technology in the viticulture industry.Full Tex
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