A novel diblock copolymer of (monomethoxy poly [ethylene glycol]-oleate) with a small hydrophobic fraction to make stable micelles/polymersomes for curcumin delivery to cancer cells

Curcumin is a potent natural anticancer agent, but its effectiveness is limited by properties such as very low solubility, high rate of degradation, and low rate of absorption of its hydrophobic molecules in vivo. To date, various nanocarriers have been used to improve the bioavailability of this hydrophobic biomaterial. This study investigates the encapsulation of curcumin in a novel nanostructure of monomethoxy poly(ethylene glycol)-oleate (mPEG-OA) and its anticancer effect. Tests were done to determine the critical micelle concentration (CMC), encapsulation efficiency, drug-loading efficiency, and cytotoxicity (against U87MG brain carcinoma cells and HFSF-PI3 cells as normal human fibroblasts) of some nanodevice preparations. The results of fluorescence microscopy and cell-cycle analyses indicated that the in vitro bioavailability of the encapsulated curcumin was significantly greater than that of free curcumin. Cytotoxicity evaluations showed that half maximal inhibitory concentrations of free curcumin and curcumin-loaded mPEG-OA for the U87MG cancer cell line were 48 μM and 24 μM, respectively. The Annexin-V-FLUOS assay was used to quantify the apoptotic effect of the prepared nanostructures. Apoptosis induction was observed in a dose-dependent manner after curcumin-loaded mPEG-OA treatments. Two common self-assembling structures, micelles and polymersomes, were observed by atomic force microscopy and dynamic light scat­tering, and the abundance of each structure was dependent on the concentration of the diblock copolymer. The mPEG-OA micelles had a very low CMC (13.24 μM or 0.03 g/L). Moreover, atomic force microscopy and dynamic light scattering showed that the curcumin-loaded mPEG-OA polymersomes had very stable structures, and at concentrations 1,000 times less than the CMC, at which the micelles disappear, polymersomes were the dominant structures in the dispersion with a reduced size distribution below 150 nm. Overall, the results from these tests revealed that this nanocarrier can be considered as an appropriate drug delivery system for delivering curcumin to cancer cells. © 2014 Erfani-Moghadam et al

Assessment of Wireless Technologies for deployment in Intelligent Transportation System based on Internet of Things

Use of Internet of Things (IoT) with modern wireless network is a trend of the emerging technologies for different systems which can be deployed in various kinds of environment to monitor, communicate with or control the associated elements in the system. The activities e.g., monitoring and communication by IoT can play an important role to design an Intelligent Transportation System (ITS). In this paper, we assess the suitability of IoT enabled wireless technology to be used for ITS. We performed some comparative study to find the best wireless technology that provides reliability, low cost, less power consumption and less data latency for next generation ITS.This technology will reduce energy consumption of the deployed IoT devices as well as ensure safety, efficiency and convenient for transportation systems

Serum calcium and magnesium abnormalities in patients with status epilepticus: a single centre tertiary care experience

Electrolyte imbalances frequently cause seizures, and these seizures may be the sole presenting symptom. Seizures are especially common in patients with sodium disorders, hypocalcemia, and hypomagnesemia. Successful management of patient seizures begins with the establishment of an accurate diagnosis of the underlying electrolyte disturbance, because rapid identification and correction of the disturbance is necessary to control seizures and prevent permanent brain damage. Objectives: To delineate the percentage of people with status epilepticus having calcium and magnesium deficiencies at admission. Methods: The study was carried out from April 2013 to October 2013 at Pakistan Institute of Medical Sciences (PIMS), Islamabad, Pakistan. Seventy patients diagnosed with status epilepticus were enrolled in the study and frequencies of serum calcium & magnesium abnormalities were measured and compared. Results: Calcium level was low in 29 (41.4%) patients. Magnesium level was low only in 7 (10%) patients. Both calcium & magnesium levels were low in 7 (10%) patients. Among the known epileptics, 16 (76.1%) were on regular antiepileptic treatment. Among those on antiepileptic drugs, 8 (50%) had low calcium levels while 6 (37.5%) had low magnesium levels. Conclusion: Serum calcium level was lower in nearly half while magnesium in nearly 2/5th of the previously diagnosed epileptics who presented in status. Among those on antiepileptic drugs, 50% had low calcium levels while 37.5% had low magnesium levels. It is suggested that all epileptic patients, especially those on long term AEDs, should at least be worked up once in detail for electrolyte abnormalities as timely identification and correction can help reduce the morbidity and mortality associated with future status epilepticus

Waterlogging and salinity management in the Sindh Province. Volume 1 - The irrigated landscape: resource availability across the hydrological divides

Irrigation management / River basins / Irrigated farming / Climate / Irrigation systems / Irrigation canals / Discharges / Water balance / Waterlogging / Salinity / Groundwater development / Tube wells / Water table / Drainage / Public sector / Land reclamation / Pakistan / Sindh Province / Indus Basin / Rohri / Larkana / Shikarpur / Hairdin / North Dadu / Ghotki / East Khairpur / Sukkur Barrage

Eight-Chain and Full-Network Models and Their Modified Versions for Rubber Hyperelasticity: A Comparative Study

The eight-chain model, also known as Arruda-Boyce model, is widely used to capture the rate-independent hyperelastic response of rubber-like materials. The parameters of this model are physically based and explained from micromechanics of chain molecules. Despite its excellent performance with only two material parameters to capture bench measurements in uniaxial and pure shear regime, the model is known to be significantly deficient in predicting the equibiaxial data. To ameliorate such drawback, over the years, several modified versions of this successful model have been proposed in the literature. The so-called full-network model is another micromechanically motivated chain model, which has also few modified versions in the literature. For this study, two modified versions of the full-network model have been selected. In this contribution, five modified versions of the Arruda-Boyce model and two modified versions of full-network model are critically compared with the classical eight-chain model for their adequacy in representing equibiaxial data. To do a comparison of all selected models in reproducing the well-known Treloar data, the analytical expressions for the three homogeneous deformation modes, that is, uniaxial tension, equibiaxial tension, and pure shear have been derived and the performances of the selected models are analysed. The comparative study demonstrates that modified Flory-Erman model, Gornet-Desmorat (GD) model, Meissner-Matějka model, and bootstrapped eight-chain model predict well the three deformation modes compare to the classical eight-chain model

On mitigating hop-to-hop congestion problem in IoT enabled Intra-Vehicular communication

Internet of Things enabled Intra-Vehicular Network (IVN) refers to the network where large number of sensors are connected with each other for sharing the vehicle's status information in order to develop a smart vehicular system. The number of sensor nodes in the vehicle has increased significantly due to the increasing vehicular applications. The phenomenon of congestion poses a problem in the IVN where the traffic load and number of sensors are increased. This problem can be resolved by mitigating the limitation of the existing Media Access Control (MAC) protocols. In this paper, we address this issue and proposed a MAC strategy for solving this problem in this network. Furthermore, we discuss the design of IVN scenario and the performance is evaluated in terms of end-to-end delay. The simulation results reveal the effectiveness of our proposal

Neuroradiology in tuberculous meningitisdiagnostic significance and prognostic value.

Tuberculous meningitis (TBM) is the most common and belligerent form of CNS TB.Prompt definitive diagnosis of TBM is arduous due to tedious microbiological procedures. This study was conducted to evaluate the neuroradiological findings in patients with TBM as a modality forearly diagnoses and predicting prognosis. Materials and methods: A successive series of 100 patients diagnosed with TBM admitted to the PIMS neurology ward were studied between March 2013 and April 2014. Cranial imaging results were obtained by non-contrast enhanced CT brain (NECT) and MRI (magnetic resonance imaging) brain with contrast. MRC staging on admission and in-hospital mortality were recorded.Results: The mean age was 34.86 ± 1.76 years with a female preponderance (55%, 55 out of 100). On admission, 72% were in MRC stages II or III. The in-hospital mortality was 16%. NECT was obtained in all the patients and was abnormal in 67% of the patients with hydrocephalus (58%), edema cerebral (24%) and infarcts (5%) being the commonestfindings.CT infarct had the highest mortality rate of 60%. MRI was obtained in 61% of the patients and was abnormal in 88.5% of these cases. Hydrocephalus (61%), tuberculomas (54%), leptomeningeal involvement (46%) and infarcts (13%) were the most frequent radiological signs on MRI. Mortality was significantly associated with infarcts but not with tuberculomas.Conclusion: Neuroimaging techniques are a handy tool in the early diagnosis of TBM. MRI is particularly helpful in defining findings such as infarcts and tuberculomas and in predicting mortality and morbidity

Demographic profile and associations of dialysis dependent chronic kidney disease patients in federal capital of pakistan.

Depression is quite prevalent in patients with chronic kidney disease. Knowing the frequency of depression in such patients and its association with different variables may be helpful in devising strategies for better and timely management of such patients in our setup. Materials and methods: This cross sectional study was conducted by recruiting 315 patients of either gender, ≥ 18 years of age with chronic kidney disease (CKD) and receiving care at Pakistan Institute of Medical Sciences, Islamabad. Patients were divided into two groups; group A: pre-dialysis and group B: dialysis (End Stage Renal Disease). Prevalence of depression in CKD and dialysis group and its association with gender, level of formal education and socioeconomic status was evaluated using descriptive statistics and chi-square test. Results: Out of 204 (100%) patients in group B, 171 (83.8%) patients had depression while in group A, 68 (61.3%) out of 111 (100%) patients were depressed. The prevalence of depression in all stages of CKD combined was 75.87 % (239 out of 315) and that in dialysis group was 83.82% (171 out of 204). Frequency of depression was significantly higher in the dialysis group (p=0.01). Those with higher level of education less commonly suffered from depression (p=0.01). No such association was found with gender (p=0.68) or socioeconomic status (p=0.12).Conclusion: Frequency of depression is significantly higher in dialysis dependent CKD patients with an overall prevalence of 75.87% in CKD and 83.82% in dialysis dependent ones. Higher level of formal education positively affects the outcome while gender and socioeconomic class have no significant association

Albuminocytological dissociation in different electrophysiological gbs variants

The objective of our study was to determine the distribution of different electrophysiological variants of GBS and its relationship with albuminocytological dissociation (ACD). The rationale of the study was to determine whether presence or absence of albuminocytological dissociation has any association with NCS findings and whether can be relied upon as an indirect predictor of axonal variant which warrants poor patient out comes versus demyelinating. Materials and Methods: A consecutive series of 76 patients who presented at PIMS over a 12 month period with GBS were included. Nerve Conduction studies (NCS) and Electromyographic (EMG) findings with CSF characterization for albuminocytological dissociation were recorded. P value \u3c 0.05 was taken significant. Results: NCS revealed AIDP as the most common variant (44; 57.8%) followed by AMAN (19; 25%) and AMSAN (7; 9.2%).For 5(6.5%) patients with normal NCS, EMG revealed early neuropathic changes in 4 (80% of normal NCS; 5.2% of total) (suggesting axonal degeneration). Total axonal degenerative type accounted for (AMAN + AMSAN + axonal neuropathy on EMG=30) 39.4% while demyelinating (AIDP + prolonged/absent F-wave=45) 59.2%. ACD was found in 60 (78.9%) patients.There was no signification association between ACD and NCS variants (p\u3e0.05). Conclusion: AIDP is the most prevalent (58%) GBS variant in our population, at least in the vicinity of Islamabad. There is high prevalence of axonal variants (≈40% of total) as compared to Western countries. There is no correlation between ACD and NCS variants. ACD cannot be used as an independent predictor of NCS variant. Presence or absence of ACD has no definite predilection for axonal variant which itself warrants poor patient outcomes versus demyelinating type