As we have gotten accustomed, in the Unconventional/Philosophy, we extrapolate the senses of our limited conventions, beyond ourselves and any universe/entity, into the unlimited even if we can never reflect this unlimited. In this case, we extrapolate our limited and relative conventions of representation, norm and evaluation, within a generalization, without exceptions or limits. We are those who impose limits to this generalization, due to our own limits or incapability, due to our limits as a system of reference.

Inter alpha trypsin inhibitor (ITI) family members are well established for their role in autoimmune disorder such as Rheumatoid Arthritis (RA). Heavy chains of this family in association with hyaluronan form serum derived hyaluronic acid associated protein SHAP-HA complex which have been found in increased amount in RA patient sera. One of the heavy chain member (heavy chain 4) of ITI family has been identified as an up regulated protein in RA plasma samples in earlier studies. Inter alpha trypsin inhibitor heavy chain 4 (ITIH4) is an anti-inflammatory protein that could act as potential therapeutic target for the disease. In the present study, we sought to predict the surface properties like ligand binding sites, active sites, antigenic peptides and molecular level interactions of ITIH4 in order to determine its role in SHAP-HA complex localization. Presence of signal peptide was predicted with the help of Signalp 4.1 server. Ligand binding sites and active sites were predicted through 3DLigandSite and Computed Atlas of Surface Topography of protein (CASTp) server respectively whereas interacting partners were identified by STRING database. Present work elucidated that ITIH4 protein may be involved in bone morphoegenesis and localisation of functional complex in RA.

The present study is based on the Wenner arrangements and configuration for the electrical resistivity survey in investigating and elucidating the possible prospect of a ground water availability and possible potential bore-hole installation in the survey area.\nA site location in the sport field and playing ground adjacent to the school farm in Lagos was surveyed, with the geological composition predominantly underlined by sands, sand stones and shale compositions.\nThe resistivity values and data observed ascertained the prospect for placing and installing a bore-hole facility in the region and the resistivity values indicated in the first few values in the table of results presented shows a range of 10 – 100 Ωm which is consistent with extant literatures for wet soil which is expected to increase to infinity.

Banking sector plays vital role for economic development of the country. It is argued that Islamic banking is based upon transparency, fairness, equal distribution of wealth and profit/loss sharing principles. Islamic banking has shown unprecedented growth in Pakistan in the existence of conventional banking. This study investigates bank selection motives and banking behavior for services utilization decision among customers of Islamic banks. Demography, perception and expectations of bank customer could influence banking behavior for service utilization decision of people in emerging economies like Pakistan. Data was collected from 200 respondents who were using services of Islamic Banks that are working in the selected area of Pakistan through self-administered questionnaire. Data was analyzed through SPSS version 21 by application of statistical techniques i.e. descriptive statistics, correlation and regression analysis etc. Reliability and internal consistency of data was checked through Cronbach alpha that is found in acceptable range. Similarly, validity and normality of data enables to apply selected statistical tools. Results show that majority of customers are willing to deal with Islamic banks due to Maqasad-e-Shariah motives. However, there is an evident difference between expectations and perceptions of customers who are dealing with Islamic banks. Findings indicate that customers reported satisfied behavior for banking with Islamic banks. This study enhances understanding of researchers, academicians, bankers, management and other stakeholders about demographic profile, bank selection motive and banking behavior of customer who are banking with Islamic banks for services utilization decisions.

The mortar coatings are made in several ways: single layer, two layers, with or without roughcast, with industrialized mortar or dosed on site. The coatings dosed on site may contain cement, lime, natural or artificial aggregate and / or additives. The qualities of these coatings link to the quality of the construction. However, coatings, sometimes, are not made in the proper manner, use appropriate materials, or are applied under favorable climatic conditions. Disrespecting any of these conditions, there will be pathologies in the coating. Aiming at these problems, a research was carried out to test the adhesion strength of various types of mortar coatings and to analyze possible pathologies, which may arise when the mortars are not cured and the substrate is not previously moistened. Expect to find the coating that has the best result and to associate the possible causes, with this study. It concluded that the preparation of the substrate, the technique of applying the coating mortar and the cure are of uppermost importance to assure the quality of the mortar, especially for mortars with additive.

In the present paper some rocks were collected from Makkah, Saudi Arabia. Thermoluminescence technique utilized to investigate the TL-properties of the collected sample. Makkah rock sample revealed a peak at 155°C its, peak position changed with the change of the dose. Chemical analysis of Makkah rocks were achived by using XRF technique. The natural fading, the effect of temperature on the ability of the sample to store the TL-signal and the optimum grain size of the sample were studied. The kinetic parameters were calculated by using the initial rise method. The TL-signal exhibits a linear response through the gamma dose range 10Gy-10KGy. In this range of exposure the sample under study can be considered as an accidental dosimetry.

Objective: To estimate the antioxidant, anti-diabetic, anti-amnesic, anti-biofilm, thrombolytic, hemolytic, and cytotoxic effects of G. glabra root extracts.\nMethods: Antioxidant activity was evaluated through different chemical assays such as DPPH (2, 2-diphenyl 1-picrylhydrazyl) scavenging assay, total phenolic content (TPC) and total flavonoid content (TFC). Alpha amylase and antiglycation inhibitory activities were investigated for antidiabetic potential. Along with these anti-amnesic, cytotoxic (hemolytic, DNA damage protection assay), thrombolytic and biofilm inhibition assays were performed. \nResults: DPPH radical scavenging ability was in range of 5.08-46%; p < 0.05 with n-butanol as most active reducing agent. Chloroform extract showed maximum (80.96 mg GAE; p < 0.05) TPC and TFC values (38.96 mg CE; p < 0.05). For antidiabetic potential chloroform (75%; p < 0.05) and n-hexane (38.7%; p < 0.05) fractions gave significant glycation and alpha amylase inhibition respectively. Ethanol extract (5.5%) being the most active inhibitor of acetylcholinesterase for anti-amnesic activity. Cytotoxic activity investigations revealed that methanol (35.4%) being the most potent hemolytic agent while DNA damage protection was shown by methanol, ethanol, ethyl acetate and chloroform extracts. Highest thrombolytic potential was displayed by ethyl acetate (19.46%) fraction. Similarly ethyl acetate exhibit notable percentage imperviousness against biofilm formation of Pasteurella multocida (72%) and ethanol (51.57%) against Staphylococcus aureus.\nConclusions: G. glabra root extracts have remarkable therapeutic ability to fight against oxidative stress, hyperglycemia, blood coagulation, bacterial growth and DNA damage in addition to have memory enhancing ability. Due to its extraordinary pharmacological efficacy further research need to be conducted to evaluate its more biochemical parameters.

Based on a new expression for the Debye screening (Non Linear Debye Potential\nNLDP) carried out by Perez and Martin 1996, we have developed the static and\ndynamic properties in one component plasma (OCP): static pair correlation functions\ng(r) and h(r) that serve to compute the self diffusion coefficient, and the time\nauto-correlation function of the local electric field acting on an impurity in the\nplasma and the time auto-correlation function of this impurity velocity. The NLDP\nis obtained by solving Poisson equation without the usual linearization hypothesis that assumes that the electrostatic energy is much smaller than the thermal energy. A comparison of the prediction of this model of NLDP for the self-diffusion and for the autocorrelation functions with the results of the molecular dynamics simulation shows an acceptable agreement over a wide range of the plasma coupling.

Due to the widespread of Internet, the malicious activities are increasing that affect a single system as well as a network of systems (computer networks). Therefore, there is a need of an effective intrusion detection system (IDS) that can protect the user’s information, which is a great challenging task. In this paper, we propose a novel Multilevel Classifier Hybrid Model IDS that combines both the misuse detection and anomaly detection approaches using the supervised and unsupervised learning approaches. This model contains two phases: in first phase, the random tree classifier classifies the dataset into known attacks using the misuse detection approach and second phase classifies the novel attacks using the anomaly detection approach. It uses the instance based learning method is used the k-nearest neighbor algorithm separately in phase 2. The proposed model provides a significant improvement of in predication accuracy, reduces false positive rate, and reduces the training time. Hence, it is confirmed that proposed model is a novel combination of classifiers that can be trained on a dataset in parallel; thus, saves the training time and makes the system processing faster. Using simulation results, we show that the proposed model provides better results than the existing IDS models.