Energy Aware Ant Colony Optimization (ENAANT) to Enhance Throughput in Mobile Ad hoc Networks

Mobile Ad hoc Network (MANET) is a network of mobile nodes having communication without a predefined infrastructure. The applications of MANETs are increasing from home appliances to defense communications. As the mobile nodes are operated by the batteries, all the processes which are taking place in the node should aware of the consumed energy. Maintaining the link stability is one of the challenges and it is one of the factors to ensure the high throughput in the networks. Due to the limited energy, the links of the networks often goes off which affects the throughput of MANETs. Energy aware ACO is proposed to optimize the utilization of energy that is available in the mobile nodes to increase throughput by ensuring link stability. Based on the remaining energy and the amount of packets to be sent, the nodes are selected for routing. The simulation is done through Network Simulator 2 and the results show that the proposed research work performs well in increasing the throughput

Changes of refractive status after pterygium surgery in a tertiary eye hospital in Bangladesh

Background: The aim of this study was to determine the amount of refractive changes after pterygium surgery and to compare the relationship between amounts of astigmatism with grade of pterygium.Methods: A prospective, interventional, comparative study was conducted on one hundred eyes of 100 patients of primary pterygium attending the outpatients department of Ispahani Islamia eye hospital and Institute, Dhaka from May, 2019 to November, 2019. Pterygium was graded according to morphology and the extent of corneal encroachment. Manifest refraction was performed preoperatively and at 1, 3 and 6 months postoperatively. All patients underwent stem cell conjunctival autograft by fibrin glue by different surgeons.Results: The astigmatism decreased significantly following pterygium excision. The mean pre-operative astigmatism was 1.69±1.13 D and reduced post-operatively to 0.23±0.27 D (p value <0.001). The mean pre-operative VA was 6/24 and reduced post-operatively to 6/9.Conclusions:There was statistically significant correlation between grade of pterygium and induced astigmatism (p value <0.001). The present study verifies that amount of pterygium induced astigmatism is directly proportional to increase in the size of pterygium. 

Non-aggregated Zn(ii)octa(2,6-diphenylphenoxy) phthalocyanine as a hole transporting material for efficient perovskite solar cells

A non-aggregated Zn(ii)octa(2,6-diphenylphenoxy) phthalocyanine (coded as TT80) has been used as a hole-transporting material for perovskite solar cells. The cells were fabricated under three different configurations by changing the uptake solvent (chlorobenzene or toluene) and incorporating additives (bis(trifluoromethane) sulfonimide lithium salt (LiTFSI) and 4-tert-butylpyridine (TBP). A power conversion efficiency of 6.7% (AM1.5G standard conditions) was achieved for the best cell under optimized configurationWe are grateful for the financial support of the MEC, Spain (CTQ2014-52869/BQU), Comunidad de Madrid, Spain (FOTOCARBON, S2013/MIT-2841), and the European Union within the FP7-ENERGY-2012-1, nr. 309194-2, GLOBALSOL project. M. K. N. thanks the European Union for funding within the Seventh Framework Program [FP7/2007–2013] under the grant agreement no. 604032 of the MESO projec

Intracardiac Phonocardiography in Subaortic Stenosis

The purpose of this study is to explore the value of intracardiac sound recordings for the verification of subaortic stenosis. Intracardiac sound was measured in ten patients with subaortic obstructions. Seven had idiopathic hypertrophic subaortic stenosis, two had a subvalvular membrane, and one had a subvalvular tunnel. In each patient, a systolic murmur was recorded within the left ventricle distal to the obstruction. The murmur was of lower amplitude distal to the aortic valve, and it was of even lower amplitude or absent proximal to the obstruction. In the presence of entrapment, no intraventricular murmur occurred although an apparent subvalvular pressure gradient was observed. The identification and localization of the maximal intensity of a systolic murmur in the ventricular outflow tract may assist in the verification of a subvalvular obstruction and help distinguish between artifactual pressure gradients and gradients indicative of subvalvular stenosis

Antimicrobial activities of eugenol and cinnamaldehyde against the human gastric pathogen <i>Helicobacter pylori</i>

Background: Eradication of Helicobacter pylori is an important objective in overcoming gastric diseases. Many regimens are currently available but none of them could achieve 100% success in eradication. Eugenol and cinnamaldehyde that are commonly used in various food preparations are known to possess antimicrobial activity against a wide spectrum of bacteria. Aim: The present study was performed to assess the in vitro effects of eugenol and cinnamaldehyde against indigenous and standard H. pylori strains, their minimum inhibitory concentrations (MICs) and time course lethal effects at various pH. Methods: A total of 31 strains (29 indigenous and one standard strain of H. pylori ATCC 26695, one strain of E. coli NCIM 2089) were screened. Agar dilution method was used for the determination of drug sensitivity patterns of isolates to the commonly used antibiotics and broth dilution method for the test compounds. Results: Eugenol and cinnamaldehyde inhibited the growth of all the 30 H. pylori strains tested, at a concentration of 2 μg/ml, in the 9th and 12th hours of incubation respectively. At acidic pH, increased activity was observed for both the compounds. Furthermore, the organism did not develop any resistance towards these compounds even after 10 passages grown at sub-inhibitory concentrations. Conclusion: These results indicate that the two bioactive compounds we tested may prevent H. pylori growth in vitro, without acquiring any resistance

Registration of ICGL 6 (Puckered Leaf Mutant) Peanut Genetic Stock

ICGL (Reg. no. GS-1, PI 561916) is a compact spanish-type peanut (Arachis hypogaea L. subsp. fastigiata Waldron var. vulgaris Hartz) puckered leaf mutant isolated from a normalleaf peanut cultivar 'OG 66-6-1'. It was released in 1991 by the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) for its peculiar leaf characteristics. Puckered leaf symptoms (partially crinkled, with a yellow stripe along the leaf margin) start appearing 1 wk after emergence; the first few leaves (older leaves) have a normal phenotype. The genotype of the puckered leaf characteristic in the mutant is proposed as nlfilJNlJM

Stratifying Brain Tumour Histological Sub-Types: The Application of ATR-FTIR Serum Spectroscopy in Secondary Care

Patients living with brain tumours have the highest average years of life lost of any cancer, ultimately reducing average life expectancy by 20 years. Diagnosis depends on brain imaging and most often confirmatory tissue biopsy for histology. The majority of patients experience non-specific symptoms, such as headache, and may be reviewed in primary care on multiple occasions before diagnosis is made. Sixty-two per cent of patients are diagnosed on brain imaging performed when they deteriorate and present to the emergency department. Histological diagnosis from invasive surgical biopsy is necessary prior to definitive treatment, because imaging techniques alone have difficulty in distinguishing between several types of brain cancer. However, surgery itself does not necessarily control tumour growth, and risks morbidity for the patient. Due to their similar features on brain scans, glioblastoma, primary central nervous system lymphoma and brain metastases have been known to cause radiological confusion. Non-invasive tests that support stratification of tumour subtype would enhance early personalisation of treatment selection and reduce the delay and risks associated with surgery for many patients. Techniques involving vibrational spectroscopy, such as attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy, have previously demonstrated analytical capabilities for cancer diagnostics. In this study, infrared spectra from 641 blood serum samples obtained from brain cancer and control patients have been collected. Firstly, we highlight the capability of ATR-FTIR to distinguish between healthy controls and brain cancer at sensitivities and specificities above 90%, before defining subtle differences in protein secondary structures between patient groups through Amide I deconvolution. We successfully differentiate several types of brain lesions (glioblastoma, meningioma, primary central nervous system lymphoma and metastasis) with balanced accuracies >80%. A reliable blood serum test capable of stratifying brain tumours in secondary care could potentially avoid surgery and speed up the time to definitive therapy, which would be of great value for both neurologists and patients

Developing infrared spectroscopic detection for stratifying brain tumour patients: glioblastoma multiforme vs. lymphoma

Over a third of brain tumour patients visit their general practitioner more than five times prior to diagnosis in the UK, leading to 62% of patients being diagnosed as emergency presentations. Unfortunately, symptoms are non-specific to brain tumours, and the majority of these patients complain of headaches on multiple occasions before being referred to a neurologist. As there are currently no methods in place for the early detection of brain cancer, the affected patients’ average life expectancy is reduced by 20 years. These statistics indicate that the current pathway is ineffective, and there is a vast need for a rapid diagnostic test. Attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy is sensitive to the hallmarks of cancer, as it analyses the full range of macromolecular classes. The combination of serum spectroscopy and advanced data analysis has previously been shown to rapidly and objectively distinguish brain tumour severity. Recently, a novel high-throughput ATR accessory has been developed, which could be cost-effective to the National Health Service in the UK, and valuable for clinical translation. In this study, 765 blood serum samples have been collected from healthy controls and patients diagnosed with various types of brain cancer, contributing to one of the largest spectroscopic studies to date. Three robust machine learning techniques - random forest, partial least squares-discriminant analysis and support vector machine - have all provided promising results. The novel high-throughput technology has been validated by separating brain cancer and non-cancer with balanced accuracies of 90% which is comparable to the traditional fixed diamond crystal methodology. Furthermore, the differentiation of brain tumour type could be useful for neurologists, as some are difficult to distinguish through medical imaging alone. For example, the highly aggressive glioblastoma multiforme and primary cerebral lymphoma can appear similar on magnetic resonance imaging (MRI) scans, thus are often misdiagnosed. Here, we report the ability of infrared spectroscopy to distinguish between glioblastoma and lymphoma patients, at a sensitivity and specificity of 90.1% and 86.3%, respectively. A reliable serum diagnostic test could avoid the need for surgery and speed up time to definitive chemotherapy and radiotherapy