Comparison of the Effects of Coconut Oil and Soyabean Oil on TSH Level and Weight Gain in Rabbits

The present study was conducted on 12 albino rabbits of either sex and weighing between 1-1.5kg to see the influence of coconut oil and soyabean oil on serum TSH levels and weight gain for a period of 12 weeks.  The rabbits were divided into 2 groups of six each.  Rabbits in group 1 were fed on coconut oil and in group 2 were fed on soyabean oil in addition to their standard diet.  At the end of 12 weeks we found that rabbits fed on soyabean oil had significant increase in TSH levels (p= 0.003) and gained more weight (p=0.000) when compared to rabbits fed on coconut oil

Putting the Mandatory Back in the Mandatory Detention Act

(Excerpt) This Article’s disagreement with the courts is over a serious issue. Granting bail to a person convicted of one of these three serious crimes could lead to him harming an individual in the community. Part I explains the current statutory framework. Part II, details Congress’s motivation to enact the two Bail Reform Acts, details the Acts’ histories, and explains their provisions. Next, Part III delineates the statutory-interpretation principles that courts must follow to determine what § 3143(a)(2) and § 3145(c) provide. Part IV argues why courts should reserve § 3145(c) exclusively for courts of appeals. And finally, Part V presents the analysis of the appellate courts and district courts that have weighed in on the issue and addresses counterarguments

Dynamic Environmental Control in Microfluidic Single‐Cell Cultivations: From Concepts to Applications

Täuber S, Lieres E, Grünberger A. Dynamic Environmental Control in Microfluidic Single‐Cell Cultivations: From Concepts to Applications. Small. 2020;16(16): 1906670.Microfluidic single‐cell cultivation (MSCC) is an emerging field within fundamental as well as applied biology. During the last years, most MSCCs were performed at constant environmental conditions. Recently, MSCC at oscillating and dynamic environmental conditions has started to gain significant interest in the research community for the investigation of cellular behavior. Herein, an overview of this topic is given and microfluidic concepts that enable oscillating and dynamic control of environmental conditions with a focus on medium conditions are discussed, and their application in single‐cell research for the cultivation of both mammalian and microbial cell systems is demonstrated. Furthermore, perspectives for performing MSCC at complex dynamic environmental profiles of single parameters and multiparameters (e.g., pH and O2) in amplitude and time are discussed. The technical progress in this field provides completely new experimental approaches and lays the foundation for systematic analysis of cellular metabolism at fluctuating environments

An Aggressive Sphenoid Wing Meningioma Causing Foster Kennedy Syndrome

Foster Kennedy syndrome is a rare neurological condition with ophthalmic significance that can manifest as acute visual loss. It is classically characterised by unilateral optic nerve atrophy and contralateral papilledema resulting from an intracranial neoplasm. Physicians should consider Foster Kennedy syndrome in patients who present with visual loss and who have a history of intracranial neoplasm. In addition to ophthalmologic examination, neuroimaging is essential for the diagnosis of Foster Kennedy syndrome

Productivity and economics of turmeric (Curcuma longa L.) in response to nitrogen applied through different sources in conjunction with bio-fertilizer consortium

A Field investigation was carried out to study the effects of organic (FYM) and inorganic nitrogen alone or in combination with bio-fertilizer consortium (Azotobacter, PSB and PGPR) on growth, yield attributes, yield and economics of turmeric (Curcuma longa L.) during 2012-13 at Punjab Agricultural University, Ludhiana. The treat-ments were comprised of 75, 100 (25 t ha-1 FYM ~ 125 kg N ha-1) and 125 per cent of recommended N and control. Results revealed that application of organic manure (FYM) had beneficial effects on the growth, yield attributes and yield of turmeric. The maximum yield of 204.4 q ha-1 was obtained with application of 125 per cent of recommended organic manure combined with the bio-fertilizers, which was statistically at par with that of 100 per cent of recom-mended organic manure alone or in combination with the bio-fertilizers. Application of bio-fertilizers improved the growth and yield of turmeric to some extent

Investigation of thermopower waves based energy sources

Miniaturisation of energy sources is critical for the development of the next generation electronic devices. However, reduction in dimensions of none of the commonly used energy generation technologies including batteries, fuel cells, heat engines and supercapacitors have resulted in efficient and reliable energy sources with high specific powers (power-to-mass ratio). Recently, the new concept of energy generation based on thermopower waves has shown promise for miniaturization. In such sources, exothermic chemical reactions of a reactive fuel are coupled to charge carriers of a thermoelectric (TE) material in its affinity, resulting in an intense thermal wave that self-propagates along the surface of the TE materials. This wave simultaneously entrains charge carriers, resulting in a large current. If the TE material also has a high Seebeck coefficient, a large output voltage and subsequently large specific power output are obtained. As the thermal wave results in a power output, it is called a thermopower wave. In the first stage of the PhD research, the author demonstrated thermopower wave systems based on thin films of Bi 2 Te 3 . Bi 2 Te 3 was implemented due to its high S (~ –200 μV/K) and σ (10 5 S/m). As Bi 2 Te 3 exhibits a low κ , the author devised a novel strategy by placing it on thermally conductive alumina (Al 2 O 3 ) substrate to compensate for this deficiency. The Bi 2 Te 3 based thermopower wave sources generated voltages and oscillations higher (at least 150 %) than the previously reported multi-walled carbon nanotube (MWNT) based thermopower wave sources, while maintaining a high specific power in the order of 1 kW/kg. In the second stage, the author implemented a novel combination of p-type Sb 2 Te 3 and n-type Bi 2 Te 3 as the core TE materials with complimentary semiconducting properties, to show the generation of voltage signals with alternating polarities. In the third stage, the author implemented zinc oxide (ZnO), which is a TE transition metal oxide (TMO), for the first time as the core material in thermopower wave sources. It was shown that both S (~ –500 μV/K at 300 °C) and σ (~ 4×10 3 S/m at 300 °C) of ZnO increased at elevated temperatures. By incorporating ZnO as the core TE material, the PhD candidate obtained voltages and oscillation amplitudes at least 200 % higher than any previously demonstrated thermopower wave systems (in the order of > 500mV), while maintaining a high specific power (~ 0.5 kW/kg). In the final stage, in order to exceed voltages larger than 1 V, the PhD candidate identified that manganese dioxide (MnO 2 ), which is another TE TMO, can exhibit exceptionally large S and moderate σ at elevated temperatures. As a result, the author implemented MnO 2 as the core TE material. It was shown that the S of MnO 2 increased dramatically with temperature, exhibiting a peak value of approximately –1900 μV/K at 350 °C. Consequently, voltages large enough (~1.8 V) to drive small electronic circuits were obtained, while maintaining high specific powers in the order of 1 kW/kg

Strain response of stretchable micro-electrodes: Controlling sensitivity with serpentine designs and encapsulation

The functionality of flexible electronics relies on stable performance of thin film micro-electrodes. This letter investigates the behavior of gold thin films on polyimide, a prevalent combination in flexible devices. The dynamic behavior of gold micro-electrodes has been studied by subjecting them to stress while monitoring their resistance in situ. The shape of the electrodes was systematically varied to examine resistive strain sensitivity, while an additional encapsulation was applied to characterize multilayer behavior. The realized designs show remarkable tolerance to repetitive strain, demonstrating that curvature and encapsulation are excellent approaches for minimizing resistive strain sensitivity to enable durable flexible electronics

A Novel Traffic Based Framework for Smartphone Security Analysis

Android Operating system (OS) has grown into the most predominant smartphone platform due to its flexibility and open source characteristics. Because of its openness, it has become prone to numerous attackers and malware designers who are constantly trying to elicit confidential information by articulating a plethora of attacks through these designed malwares. Detection of these malwares to protect the smartphone is the core function of the smartphone security analysis. This paper proposes a novel traffic-based framework that exploits the network traffic features to detect these malwares. Here, a unified feature (UF) is created by graph-based cross-diffusion of generated order and sparse matrices corresponding to the network traffic features. Generated unified feature is then given to three classifiers to get corresponding classifier scores. The robustness of the suggested framework when evaluated on the standard datasets outperforms contemporary techniques to achieve an average accuracy of 98.74 per cent

An Efficient Multistage Fusion Approach for Smartphone Security Analysis

Android smartphone ecosystem is inundated with innumerable applications mainly developed by third party contenders leading to high vulnerability of these devices. In addition, proliferation of smartphone usage along with their potential applications in diverse field entice malware community to develop new malwares to attack these devices. In order to overcome these issues, an android malware detection framework is proposed wherein an efficient multistage fusion approach is introduced. For this, a robust unified feature vector is created by fusion of transformed feature matrices corresponding to multi-cue using non-linear graph based cross-diffusion. Unified feature is further subjected to multiple classifiers to obtain their classification scores. Classifier scores are further optimally fused employing Dezert-Smarandache Theory (DSmT). Strength of suggested model is assessed both qualitatively and quantitatively by ten-fold cross-validation on the benchmarked datasets. On an average of outcome, we achieved detection accuracy of 98.97% and F-measure of 0.9936.&nbsp