Meaningful Infrastructures in Biological Networks: Related Studies, Algorithms and Evaluation Parameters

In network science and big data, the concept of finding meaningful infrastructures in networks has emerged as a method of finding groups of entities with similar properties within very complex systems. The whole concept is generally based on finding subnetworks which have more properties (links) amongst nodes belonging to the same cluster than nodes in other groups (A concept presented by Girvan and Newman, 2002). Today meaningful infrastructure identification is applied in all types of networks from computer networks, to social networks to biological networks. In this article we will look at how meaningful infrastructure identification is applied in biological networks. This concept is important in biological networks as it helps scientist discover patterns in proteins or drugs which helps in solving many medical mysteries. This article will encompass the different algorithms that are used for meaningful infrastructure identification in biological networks. These include Genetic Algorithm, Differential Evolution, Water Cycle Algorithm (WCA), Walktrap Algorithm, Connect Intensity Iteration Algorithm (CIIA), Firefly algorithms and Overlapping Multiple Label Propagation Algorithm. These al-gorithms are compared with using performance measurement parameters such as the Mod-ularity, Normalized Mutual Information, Functional Enrichment, Recall and Precision, Re-dundancy, Purity and Surprise, which we will also discuss here.

Preparation of Tablet from Naagdon Plant by Wet Granulation Method for Treatment of Excessive Bleeding in Piles

The objective of present study was to formulate and evaluate the tablets for piles with different combination of herbal drugs. Material and Method: The tablet for piles containing lactose and mannitol as diluent and containing natural drugs like naagdon which was prepared by wet granulation method. The wet and compressed formulations were subject to several evaluation parameters like appearance, thickness, weight variation, hardness and friability. Results: The results of all evaluation parameters of piles tablet were within the acceptable limit. Pre-compression studies of piles tablet show satisfactory results. The thickness, hardness, weight variation, and friability of pilestablet were found to in acceptable range. The in-vitro drug release of eugenol from optimised for treatment piles formulation was found to be 90.23%. Significant results were obtained from present study. Discussion: The finding of current investigation clearly found that the health promotion of the body could be done by piles

A Methodological Study to Analyze and Design the Car Chassis

The car's chassis is also called a structure that locates and mounts all the vehicle's components. It also creates a secure environment for the occupants. The chassis will provide torsional and flexural rigidity to the vehicle that makes the chassis one of the most crucial elements of the vehicle. Therefore, the front impact, rear impact, side impact, front torsional, rear torsional, vertical bending, lateral bending analyses were performed. The contribution of chassis is not limited to supporting the vehicle’s component, but it extends to providing better performance and aesthetics. Therefore, the design of the car chassis must be done accordingly. The current paper deals with the study of the design and analysis of the race car. The deformation, stress, and Factor of safety were considered as the evaluation parameters which were obtained by Finite Element Analysis (FEA) in Ansys software. To design the chassis, the SolidWorks software was utilized. Keywords: Car Chassis, Design, FEA, Material Comparison.

Pharmaceutical Lozenges: Recent Trends and Developments with an Update on Research and Patents

Pharmaceutical oral dosage forms are tremendously preferred by both consumers as well as pharmaceutical manufacturers owing to the plethora of benefits they offer. Lozenges (LZs) are one of the dosage forms that provide a palatable means of drug administration and have great importance with respect to their pharmaceutical applications. LZs offer additional benefits to pediatric and geriatric patients, along with people having associated problems with the gastro-intestinal tract. Dysphagia is a common problem faced by all age groups, which gives rise to the need for LZs. Moreover, the foremost merit presented by the medicated LZs includes its augmented retention time in the oral cavity that results in an enhanced bioavailability for buccal or upper gastro-intestinal disorders. Further, LZs can also be used to bypass the first-pass effect. The present review covers various aspects of LZs such as formulation, manufacturing techniques, evaluation parameters, marketed products, patents, and a compilation of research work that has been done on lozenges as a delivery system.

Evaluasi program sosialisasi vaksinasi covid-19 melalui media sosial

One of the evaluation parameters that can measure the effectiveness of socialization programs through social media is citizen engagement, namely public involvement in important or essential problems on social media. This evaluation was conducted to analyze the effectiveness of the Covid-19 vaccination socialization program through social media. The object of the evaluation is the netizen conversations on Twitter in the form of messages, statuses, or tweets that mention the keyword 'COVID-19 Vaccine' on social media. The effectiveness criteria of the socialization program were based on the citizen engagement index or the citizen involvement index which is examined from the netizen opinions on sentiment (positive/negative) and emotion (trust/fear) indicators. The evaluation results show that the socialization program has succeeded in increasing positive sentiment and emotions of trust. Positive sentiment was shown by netizens' opinions, which were dominated by posts that supported and accepted the vaccination program. Emotion of trust was dominated by the trust and acceptance posts. This finding, when confirmed with facts in the community, indicates a conformity. The public has supported, approved, trusted and accepted the Covid-19 vaccination.Salah satu parameter evaluasi yang dapat mengukur keefektifan program sosialisasi melalui media sosial adalah citizen engagement, yaitu keterlibatan publik terhadap suatu problematika penting atau yang dianggap penting di media sosial. Evaluasi ini dilakukan untuk menganalisis keefektifan program sosialisasi vaksinasi Covid-19 melalui media sosial. Objek evaluasi adalah percakapan warganet di Twitter baik berupa pesan, status, maupun tweet yang menyebutkan kata kunci ‘Vaksin COVID-19’ di media sosial. Kriteria keefektifan program sosialisasi mengacu kepada citizen engagement index atau indeks keterlibatan warganet yang dianalisis dari opini warganet pada indikator sentimen (positif/negative) dan emosi (trust/fear). Hasil evaluasi menunjukkan Program sosialisasi berhasil meningkatkan sentiment positif dan emosi trust. Sentimen positif ditunjukkan opini warganet yang didominasi unggahan mendukung dan menyetujui vaksinasi. Emosi trust, didominasi oleh unggahan rasa percaya dan menerima. Temuan ini apabila dikonfirmasi dengan fakta di masyarakat, mengindikasikan adanya kesesuaian. Masyarakat telah mendukung, menyetujui, percaya, dan menerima vaksinasi Covid-19.

View VULMA: Data Set for Training a Machine-Learning Tool for a Fast Vulnerability Analysis of Existing Buildings

The paper presents View VULMA, a data set specifically designed for training machine-learning tools for elaborating fast vulnerability analysis of existing buildings. Such tools require supervised training via an extensive set of building imagery, for which several typological parameters should be defined, with a proper label assigned to each sample on a per-parameter basis. Thus, it is clear how defining an adequate training data set plays a key role, and several aspects should be considered, such as data availability, preprocessing, augmentation and balancing according to the selected labels. In this paper, we highlight all these issues, describing the pursued strategies to elaborate a reliable data set. In particular, a detailed description of both requirements (e.g., scale and resolution of images, evaluation parameters and data heterogeneity) and the steps followed to define View VULMA are provided, starting from the data assessment (which allowed to reduce the initial sample of about 20.000 images to a subset of about 3.000 pictures), to achieve the goal of training a transfer-learning-based automated tool for fast estimation of the vulnerability of existing buildings from single pictures.

Formulation and Evaluation of Nutraceutical Tablet Using Clove Drugs by Wet Granulation Method

The objective of present study was to formulate and evaluate the nutraceutical tablets with different combination of herbal drugs. Material and Method: The nutraceutical tablet containing lactose and mannitol as diluent and containing natural drugs like clove and cinnamon which was prepared by direct compression method. The compressed formulations were subject to several evaluation parameters like appearance, thickness, weight variation, hardness and friability. Results: The results of all evaluation parameters of nutraceutical tablet were within the acceptable limit. Pre-compression studies of nutraceutical tablet show satisfactory results. The thickness, hardness, weight variation, and friability of nutraceutical tablet were found to in acceptable range. The in-vitro drug release of eugenol from optimised nutraceutical formulation was found to be 90.23%. Significant results were obtained from present study. Discussion: The finding of current investigation clearly found that the health promotion of the body could be done by nutraceuticals. Keywords: Direct compression, Nutraceutical, Eugenol, In-vitro drug release

OPTIMIZED FAST DISINTEGRATING TABLETS, BOOSTED OSELTAMIVIR PHOSPHATE ORALLY FAST DISINTEGRATING TABLETS

Background Around 33% of the populace (fundamentally pediatric and geriatric) has gulping hardships, bringing about helpless consistence with oral tablet drug treatment which prompts decreased in general treatment viability. For this explanation, tablets that can quickly break down or deteriorate in the oral cavity have drawn in a lot of consideration. Objective research was designed to develop and evaluate boosted orally fast disintegrating tablets (OFDT) for oro-buccal drug delivery of oseltamivir phosphate. Methods In the present study six formulations of mouth dissolving tablet of oseltamivir were prepared by direct compression method using SSG as a super disintegrating agent with lactose, talcum, mannitol, SLS and starch. The prepared tablets were then subjected to various evaluation parameters. Results every one of the outcomes was observed to be inside satisfactory reaches. The formulation F6 manufacturing utilizing SSG 50mg and SLS 10mg showed the higher medication content (98%), while the formulation F2 showed the least medication content (92%). It was seen that with the increment in SSG concentration, the medication content was additionally increased. SEM concentrate on showed request of expanding unpleasantness of tablet surface is F1<F2<F3<F4<F5<F6. The expanding unpleasantness may be answerable for higher % of medication release. Formulation F1 showed the most elevated medication discharge (97.735%), while the formulation F5 showed the least medication discharge (56.24%). Finally, it was inferred that SSG, SLS, D-mannitol, starch, lactose, and talcum powder can be effectively utilized in the formulation of Oseltamivir phosphate mouth dissolving tablets. Conclusion: From the above work it was presumed that the formulation of the Oseltamivir Phosphate was observed to be more achievable than the regular one.

Chemometric Approach to Assess Response Correlation and its Classification in simplex centroid design for Pre-Optimization stage of Catechin-SNEDDS

Catechins are isolated from tea leaves and shown to have pharmacological activities. However, the permeability and absorption capacity of the digestive tract is low, thus affecting the value of bioavailability. Self-nano emulsifying drug delivery system (SNEDDS) is formulated as a breakthrough in nano delivery to increase the value of bioavailability and stability in a model of natural compounds, namely catechins. This study applies chemometrics to the simplex centroid design (SCD) to analyze the catechin-SNEDDS pre-optimization design. The factors defined include oleic acid, croduret 50-SS, and propylene glycol. Evaluation parameters include emulsification time, percent transmittance (%T), freeze-thaw, and endurance test. The results showed a formula that met the requirements at the time of emulsification, stability, and %T. There were four clusters of results from the principal component analysis - cluster analysis (PCA-CA) in the SCD formula. The evaluation between responses in the SCD optimization design is indicated to have a positive correlation. Analysis using multivariate chemometric can describe the characteristics of each formula and the response based on the parameters used, which refers to the similarity, grouping, and correlation of each formula and response. The PCA-CA technique can group formulas from SCD in similar clusters and provide important information regarding response patterns or correlations.

Scrutinizing Attacks and Evaluating Performance Appraisal Parameters via Feature Selection in Intrusion Detection System

In modern times the firewall and antivirus packages are not good enough to protect the organization from numerous cyber attacks. Computer IDS (Intrusion Detection System) is a crucial aspect that contributes to the success of an organization. IDS is a software application responsible for scanning organization networks for suspicious activities and policy rupturing. IDS ensures the secure and reliable functioning of the network within an organization. IDS underwent huge transformations since its origin to cope up with the advancing computer crimes. The primary motive of IDS has been to augment the competence of detecting the attacks without endangering the performance of the network. The research paper elaborates on different types and different functions performed by the IDS. The NSL KDD dataset has been considered for training and testing. The seven prominent classifiers LR (Logistic Regression), NB (Naïve Bayes), DT (Decision Tree), AB (AdaBoost), RF (Random Forest), kNN (k Nearest Neighbor), and SVM (Support Vector Machine) have been studied along with their pros and cons and the feature selection have been imposed to enhance the reading of performance evaluation parameters (Accuracy, Precision, Recall, and F1Score). The paper elaborates a detailed flowchart and algorithm depicting the procedure to perform feature selection using XGB (Extreme Gradient Booster) for four categories of attacks: DoS (Denial of Service), Probe, R2L (Remote to Local Attack), and U2R (User to Root Attack). The selected features have been ranked as per their occurrence. The implementation have been conducted at five different ratios of 60-40%, 70-30%, 90-10%, 50-50%, and 80-20%. Different classifiers scored best for different performance evaluation parameters at different ratios. NB scored with the best Accuracy and Recall values. DT and RF consistently performed with high accuracy. NB, SVM, and kNN achieved good F1Score.