The hexane-extracted oil content of Moringa oleifera seeds ranged from 38.00 to 42.00%. Protein, fiber, and ash contents were found to be 26.50-32.00, 5.80-9.29, and, 5.60-7.50%, respectively. Results of physical and chemical parameters of the extracted oil were as follows: iodine value, 68.00-71.80; refractive index (40 degrees C), 1.4590-1.4625; density (24 degrees C), 0.9036-0.9080 mg/mL; saponification value, 180.60-190.50; unsaponifiable matter, 0.70-1.10%; and color (1 in. cell), 0.95-1.10 R + 20.00-35.30 Y. Tocopherols (alpha, gamma, and delta) in the oil were up to 123.50-161.30, 84.07-104.00, and 41.00-56.00 mg/kg, respectively. The oil was found to contain high levels of oleic acid (up to 78.59%) followed by palmitic, stearic, behenic, and arachidic acid up to levels of 7.00, 7.50, 5.99, and 4.21%, respectively. The induction period (Rancimat, 20 L/h, 120 degrees C) of the crude oil was 9.99 h and reduced to 8.63 h after degumming. Specific extinctions at 232 and 270 nm were 1.70 and 0.31, respectively. Many parameters of M. oleifera oil indigenous to Pakistan were comparable to those of typical Moringa seed oils reported in the literature. The results of the present analytical study were also compared with those of different vegetable oils.

Analytical characterization of Moringa oleifera seed oil grown in temperate regions of Pakistan.

An ongoing project explores the extent to which artificial intelligence (AI), specifically in the areas of natural language processing and semantic reasoning, can be exploited to facilitate the stu...

Microsoft Academic Graph: When experts are not enough

Stabilization of sunflower oil by garlic extract during accelerated storage

Interprovenance variation was examined in the composition of Moringa oleifera oilseeds from Pakistan. The hexane-extracted oil content of M. oleifera seeds harvested in the vicinity of the University of Agriculture, Faisalabad (Punjab, Pakistan), Bahauddin Zakariya University (Multan, Pakistan), and the University of Sindh, Jamshoro (Sindh, Pakistan), ranged from 33.23 to 40.90%. Protein, fiber, moisture, and ash contents were found to be 28.52–34.00, 6.52–7.50, 5.90–7.00, and 6.52–7.50%, respectively. The physical and chemical parameters of the extracted M. oleifera oils were as follows: iodine value, 67.20–71.00; refractive index (40°C), 1.4570–1.4637; density (24°C), 0.9012–0.9052 mg/mL; saponification value, 177.29–184.10; unsaponifiable matter, 0.60–0.83%; color (1-in. cell), 1.00–1.50 R+20.00–30.00Y; smoke point, 198–202°C; and acidity (% as oleic acid), 0.50–0.74. Tocopherols (α, γ, and δ) accounted for 114.50–140.42, 58.05–86.70, and 54.20–75.16 mg/kg, respectively, of the oils. The induction periods (Rancimat, 20 L/h, 120°C) of the crude oils were 9.64–10.66 h and were reduced to 8.29–9.10 h after degumming. Specific extinctions at 232 and 270 nm were 1.80–2.50 and 0.54–1.00, respectively. The major sterol fractions of the oils were campesterol (14.13–17.00%), stigmasterol (15.88–19.00%), β-sitosterol (45.30–53.20%), and 5-avenasterol (8.84, 11.05%). The Moringa oils were found to contain high levels of oleic acid (up to 76.00%), followed by palmitic, stearic, behenic, and arachidic acids up to levels of 6.54, 6.00, 7.00, and 4.00%, respectively. Most of the parameters of M. oleifera oils indigenous to different agroclimatic regions of Pakistan were comparable to those of typical Moringa seed oils reported in the literature. The results of the present analytical study, compared with those for different vegetable oils, showed M. oleifera to be a potentially valuable oilseed crop.

Interprovenance variation in the composition of Moringa oleifera oilseeds from Pakistan

The purpose of the present study was to examine the physico-chemical characteristics of Moringa oleifera seeds and seed oil from a wild provenance of Pakistan. The Moringa seeds harvested from the forests of Kohat district of NWFP exhibited an oil yield of 34.80%. Protein, fiber, moisture and ash contents were 31.65, 7.54, 8.90 and 6.53%, respectively. The extracted M. oleifera seed oil revealed an iodine value of 68.63; refractive index (40°C), 1.4571; density (24°C), 0.9032 g cm -3 ; saponification value, 181.4; unsaponifiable matter, 0.74%; acidity (as oleic acid) 0.81% and color (1-in. cell) 1.28 R + 31.00 Y. Determinations of oxidation parameters like induction period (Rancimat 20 L/h, 120°C), specific extinctions at 232 and 270 nm, peroxide- and p-anisidine values demonstrated a good oxidative stability of the investigated M. oleifera oil. Tocopherols (α, γ and δ) contents of the oil amounted to 140.5, 63.18 and 61.70 mg kg -1 , respectively and were reduced considerably after degumming. The major sterol components of the oil were β-sitosterol (46.16%), campesterol (17.59%), stigmasterol (18.80%) and Δ 5 , avenasterol (9.26%). The wild M. oleifera seed oil was found to contain oleic acid up to 73.22%, followed by palmitic, stearic, behenic and arachidic acids 6.45, 5.50, 6.16 and 4.08%, respectively and fell in the category of high-oleic oils. The results of different quality attributes of M. oleifera oil from a wild provenance of Pakistan reveal that it could be employed for edible and commercial applications.

Physico-chemical characteristics of moringa oleifera seeds and seed oil from a wild provenance of pakistan

For the determination of lipid oxidation in oils, electrical, optical, spectroscopic and extraction methods were investigated using rice bran oil and doubly-fractionated palm olein as model systems. The oxidized polar components and dielectric constant of rice bran oil increased very similarly with those of double-fractionated palm olein. In the case of rice bran oil, all of the test methods were shown to possess good statistical correlations. Polar components, dielectric constant, refractive index and polymer content showed relatively better correlations. It was shown that diene and triene content determined by spectroscopic methods was not suitable for more saturated oils such as palm olein.

Comparative study of physical methods for lipid oxidation measurement in oils

On-chip networks are becoming more important as the number of on-chip components continue to increase. 2D mesh topology is a commonly assumed topology for on-chip networks but in this work, we make the argument that 2D torus can provide a more cost-efficient on-chip network since the on-chip network datapath is reduced by 2× while providing the same bisection bandwidth as a mesh network. Our results show that 2D torus can achieve an improvement of up to 1.9× over a 2D mesh in performance per watt metric. However, routing deadlock can occur in a torus network with the wrap-around channel and requires additional virtual channels for deadlock avoidance. In this work, we propose deadlock recovery with tokens (DRT) in on-chip networks that exploits on-chip networks - exploiting the abundant wires available while minimizing the need for additional buffers. As a result, deadlocks can be exactly detected without having to rely on a timeout mechanism and when needed, recover from the deadlock. We show how DRT results in minimal loss in performance, compared with deadlock avoidance using virtual channels, while reducing the on-chip network complexity.

Leveraging torus topology with deadlock recovery for cost-efficient on-chip network

A mobile terminal including a display unit; a wireless communication unit configured to wirelessly communicate with an insole in a shoe and an external device; and a controller configured to receive a foot gesture input signal from the insole for controlling the mobile terminal or the external device, control the function on the mobile according to the foot gesture input signal in response to the foot gesture input signal being mapped a function of the mobile terminal, and transmit a control signal to the external device to control the function on the external device in response the foot gesture input signal being mapped the function of the external device.

Insole, mobile terminal and method of controlling therefor

We present an interactive visualisation tool for recommending travel trajectories. This system is based on new machine learning formulations and algorithms for the sequence recommendation problem. The system starts from a map-based overview, taking an interactive query as starting point. It then breaks down contributions from different geographical and user behavior features, and those from individual points-of-interest versus pairs of consecutive points on a route. The system also supports detailed quantitative interrogation by comparing a large number of features for multiple points. Effective trajectory visualisations can potentially benefit a large cohort of online map users and assist their decision-making. More broadly, the design of this system can inform visualisations of other structured prediction tasks, such as for sequences or trees.

PathRec: Visual Analysis of Travel Route Recommendations

We present the Influence Flower, a new visual metaphor for the influence profile of academic entities, including people, projects, institutions, conferences, and journals. While many tools quantify influence, we aim to expose the flow of influence between entities. The Influence Flower is an ego-centric graph, with a query entity placed in the centre. The petals are styled to reflect the strength of influence to and from other entities of the same or different type. For example, one can break down the incoming and outgoing influences of a research lab by research topics. The Influence Flower uses a recent snapshot of Microsoft Academic Graph, consisting of 212 million authors, their 176 million publications, and 1.2 billion citations. An interactive web app, Influence Map, is constructed around this central metaphor for searching and curating visualisations. We also propose a visual comparison method that highlights change in influence patterns over time. We demonstrate through several case studies that the Influence Flower supports data-driven inquiries about the following: researchers' careers over time; paper(s) and projects, including those with delayed recognition; the interdisciplinary profile of a research institution; and the shifting topical trends in conferences. We also use this tool on influence data beyond academic citations, by contrasting the academic and Twitter activities of a researcher.

Minjeong Shin

Papers

Comparative study of physical methods for lipid oxidation measurement in oils

Leveraging torus topology with deadlock recovery for cost-efficient on-chip network

Insole, mobile terminal and method of controlling therefor

PathRec: Visual Analysis of Travel Route Recommendations

Influence Flowers of Academic Entities