Determining the rate of student attendance is an important task in determining the completion of the courses. Despite the success of the technology, it is unfortunate that in many academic institutions, the current systems used to detect student absences. Furthermore, one of the crucial problems in the attendance system does not count student background for continuing in the courses. In this paper, we propose an intelligent approach for calculating student attendance based on their Grade Point Average (GPA) and their activities, this approach uses Artificial Neural Network (ANN) for calculating the attendance rating accurately, meaning the system provide a new rating for each student based on their background. The aim of this research is developing an attendance system for motivation students taking attendance or taking high grade in the class. The result of this approach helps the instructor to allow students who have more activities with more absents to continue in the courses if not the students have low activity should taking high attendance. This system will more efficient for monitoring students for replacing absent to activity.

Background: since early times, the people of Morocco use medicinal plants as traditional medicine to treat diabetes. However, little studies have been made in the past to properly document and promote the traditional knowledge. This study was carried out in the Rif (North of Morocco), it aimed to identify medicinal plant used by the local people to treat diabetic problems, together with the associated ethnomedicinal knowledge.

Materials and Methods: The ethnomedical information collected was from 582 traditional healers using semi-structured interviews, free listing and focus group. Family use value (FUV), use value (UV), plant part value (PPV) and informant agreement ratio (IAR) were employed in data analysis. medicinal plant were collected, identified and kept at the natural resources and biodiversity laboratory, Ibn Tofail University, Kenitra.

Results: During the present study 30 medicinal plant species belonging to 14 families has been documented. The most frequent ailments reported were type 1 diabetes. The majority of the remedies were prepared from infusion. Leaves were the most frequently used plant part and Rosmarinus officinalis L. was the specie most commonly prescribed by local herbalists.

Conclusions: The results of this study showed that people Arabs and Imazighen living in the Rif of Morocco are still dependent on medicinal plants. The documented medicinal plants can serve as a basis for further studies on the regions medicinal plants knowledge and for future phytochemical and pharmacological studies.

Currently, antioxidant compounds, such as vitamins C and E, are widely used to deactivate free oxygen radical species (ROS), playing an essential role in preventing chronic neurodegenerative diseases where ROS levels are significantly increased ^1,2. Herein, single-walled carbon nanocones (SWCNC), a nanocarbon allotrope with unique physico-chemical properties, was combined with antioxidant vitamins C and E toward exploring mitochondrial nanomedicine applications in molecular neurosciences ^3,4.To this end, we carried out the study of SWCNCs interaction with vitamin C and vitamin E using ab initio calculations based on Density Functional Theory⁵.Besides, molecular docking methodology was applied by selecting the human ABC-mitochondrial carrier ABCB10, PDB ID: 4ayt to address the study of molecular interactions with the antioxidant vitamins C and E ⁶. The results obtained from ab initio study, showed that the most stable configuration was observed for the SWCNC interacting with vitamin C >> vitamin E, with DFT-binding energy of 0.98 and 0.56 eV, respectively. The results on molecular docking study provided a free binding energy (FEB) and rmsd for the neurotarget (4ayt) following the order of as: ABC-carrier/SWCNCs (-17.6 Kcal / mol and 0.931 Å)>>ABC-carrier/vitamin E (-5.4 Kcal / mol and 0.911 Å) and ABC-carrier/vitamin C (-4.5 Kcal / mol and 1.567 Å), and SWCNCs simultaneously interacting with vitamin E on ABC-carrier was -18 Kcal /mol and r.m.s.d = 0.079 Å). Lastly, the results suggest that the potential therapeutic combination of SWCNTs with vitamins E > C, could be a new and promising alternative for neurotherapy-based nanomedicine.

References

1. 1. Chambial S, Dwivedi S, Shukla KK, John PJ, Sharma P. Vitamin C in disease prevention and cure: An overview. Indian J Clin Biochem. Published online 2013. doi:10.1007/s12291-013-0375-3
2. Eerman K, Brodaty H. Tocopherol (vitamin E) in Alzheimer’s disease and other neurodegenerative disorders. CNS Drugs. Published online 2004. doi:10.2165/00023210-200418120-00005
3. Karousis N, Suarez-Martinez I, Ewels CP, Tagmatarchis N. Structure, Properties, Functionalization, and Applications of Carbon Nanohorns. Chem Rev. Published online 2016. doi:10.1021/acs.chemrev.5b00611
4. Shenderova OA, Lawson BL, Areshkin D, Brenner DW. Predicted structure and electronic properties of individual carbon nanocones and nanostructures assembled from nanocones. Nanotechnology. 2001;12(3):191-197. doi:10.1088/0957-4484/12/3/302
5. Soler JM, Artacho E, Gale JD, et al. The SIESTA method for ab initio order-N materials simulation. J Phys Condens Matter. Published online 2002. doi:10.1088/0953-8984/14/11/302
6. Oleg T, Arthur J. O. AutoDock Vina: Improving the Speed and Accuracy of Docking with a New Scoring Function, Efficient Optimization, and Multithreading. J Comput Chem. Published online 2010. doi:10.1002/jcc

Social media analytics plays an important role in e-commerce for retrieving the useful information of a product or service. Sentiment Analysis has become the key function of social media analytics. Opinion Mining is to used to analyze the polarity of sentiment expressed in data .Taking the data flood from online social media, in its many forms, and transforming it into useful knowledge for strategic decision making is the backbone of this paper. The paper proposes a model for doing customer review analytics on social media using big data for improving target advertising and improved business decision making.

Now a day’s most of the activities and financial transactions uses internet, since internet is accessible from anywhere, perpetrator takes advantage of this and commit a crime. Cybercrime is a term used to broadly describe criminal activity in which computers or computer networks are a tool, a target, or a place of criminal activity and include everything from electronic cracking to denial of service attacks. It is also used to include traditional crimes in which computers or networks are used to enable the illicit activity. Cyber criminals take full advantage of the anonymity, secrecy, and interconnections provided by the Internet. In this paper we have tried to provide information about Cyber crime, its nature, Perpetrators, Classification of cyber crime, Reasons for its emergence, In next section of this paper we have given an information about cyber law, IT legislation in India. Further in next section we have discuses about Cyber crime scenario in India. Finally Last two sections of this paper discuss about some cyber crime cases in India and some cyber crimes and punishments related with those crime.

Proceedings of the conference MOL2NET International Conference on Multidisciplinary Sciences (5th edition), 2019 is part of a year-round worldwide conference series hosted by MDPI Sciforum, Basel, Switzerland. This conference series has had organized more than 20 associated workshop series in universities worldwide: USA, France, Portugal, Spain, China, Chile, Brazil, India, etc. These workshop series run in person and/or online. Some of these workshops are the USINEWS-02 University of Minnesota, USA; MICROBIOTA, UDC, Coruña, Spain, LAWSCI-02, UPV/EHU, Bilbao, Spain, etc. Workshops allow both in person and/or online only publication of papers, research highlights of previous papers, letters, short reviews, etc. The topics are multidisciplinary covering, but not limited to, Chemistry (All areas), Physics, Biology, Ecology, Statistics, Bioinformatics, Education, Nanotechnology, Materials, Computational, Complex Networks, Legal, and Social sciences, etc. The present book of proceedings have been released in a short version without communications including links to online versions of all communications (only 31 pages). Thank you very much to all colleagues for your kind support.

Currently, many of the practical engineering and environmental applications require a digital elevation model (DEM) as an important scientific input causing variations in the quality of the results in an application depending on the accuracy of the DEM. The availability of fused or assimilated DEMs at global scale is a recent development strengthening the topographic studies and modeling of related phenomenon. Openly accessible EarthEnv-DEM90 is generated by fusion of ASTER GDEM2 and CGIAR-CSI v4.1 (SRTM 90m) products using rigorous techniques for enhanced quality under a collaborative project of NASA known as EarthEnv project. Whereas the other publicly available Multi-Error-Removed Improved-Terrain (MERIT) DEM is the product generated by Dai Yamazaki (University of Tokyo) using SRTM3 v2.1 and AW3D-30m v1 along with supplementary datasets available in different regions of the globe and primarily focusing it for global hydrodynamic modeling. In this study, EarthEnv-DEM90 and MERIT DEM are evaluated using ground control points (GCPs) acquired through differential global positioning system (DGPS) at three experimental sites with varied landforms and consequent topography. The resulting DEM statistics can assist an application scientist in selection of a suitable fused DEM products with improved accuracy for specific applications in comparison to individual DEM products. Mean error (ME), Mean absolute error (MAE) and root mean square errors (RMSE) were computed and revealed that MERIT DEM performs better in plains of Kendrapara site with RMSE as 4 m. However the EarthEnv-DEM90 achieves better accuracy in moderate topography at Jaipur site and rugged topography at Dehradun site with RMSE of 3.05m and 6.55m respectively.

A new peptidase designated as SAPV produced from a moderately halophilic Virgibacillus natechei sp. nov., strain FarD^T was investigated by purification to homogeneity followed by biochemical and molecular characterization purposes. Through optimization, it was determined that the optimum peptidase activity to be 16,000 U/mL in the optimized liquid medium that contains only white shrimp shell by-product as sole energy and carbon sources. The SAPV enzyme is a monomer protein with a molecular mass of 31 kDa. The sequence of its NH₂-terminal amino-acid residues showed homology with those of Bacillus peptidases S8/S53 superfamily. The SAPV showed optimal activity at pH 9 and 60 °C. The sapV gene was cloned, sequenced, and heterologously over expressed in the extracellular fraction of E. coli BL21(DE3)pLysS. The biochemical properties of the recombinant peptidase (rSAPV) were similar to those of native one. The highest sequence identity value (97.66%) of SAPV was obtained with peptidase S8 from Virgibacillus massiliensis DSM 28587, with 9 amino-acid residues of difference. Interestingly, rSAPV exhibited an excellent detergent stability and compatibility than Alcalase 2.4 L FG and Bioprotease N100L

Mediterranean sea is threatened by a large number of factors such as habitat alteration, urbanization, climate change, pollution and more specifically by the introduction of autochton and non-native species. Shrimps are caught all along the Tunisian coasts. They are found in the Gulf of Gabes area, wherein the largest concentrations of these species are located, especially the king shrimp Penaeus kerathurus. In addition, fishing with both trawlers and inshore fishing units have been recorded as relatively large quantities of another shrimp species, commonly known as white or speckled shrimp, Metapenaeus monoceros. The efficiency of the proteolytic strain Anoxybacillus kamchatkensis M1V in the fermentation of speckled shrimp by-product was investigated for the recovery of a deproteinized bioactive hydrolysate. The biological activities of the resulting hydrolysate were also examined by applying several antioxidant and enzyme inhibitory assays. The strain M1V was found to produce high level of protease activity (2,000 U/mL) when grown in media containing only shrimp powder at 25 g/L. The obtained hydrolysate showed a significant enzymatic inhibitory potential against acetylcholinesterase, tyrosinase, amylase, and angiotensin I convertase, and a strong antioxidant activity.

The high world energy demand has caused sustained growth in the use of fossil fuels, depleting its reserves, raising the cost of energy in many places, and contributing significantly to climate change [1]. Biomass is considered a sustainable energy source by having a net neutral production of carbon dioxide [2], such that it can partially replace fossil fuels. One of the ways of using biomass is to obtain new energy vectors, such as hydrogen, whose production from residual biomass is technically and economically feasible [3]. On the other hand, the Aspen Plus simulation software has been used in various petrochemical processes, such as methanol synthesis, indirect liquefaction and hydrogasification of coal, combined cycles in power plants; however, its application in biomass transformation processes has been limited [4]. Therefore, in this research the gasification process of palm kernel shell (PKS) was modeled and simulated at steady-state using Aspen Plus, varying the temperature (750 to 950 °C) and the steam/biomass ratio (S/B) between 0 and 2.5 (w/w), to determine its effect on the production of H₂ present in the syngas. The kinetic parameters of the gasification were determined by means of a thermogravimetric analysis (TG/DTG) using two gasifying agents (CO₂ and steam) and applying three semi-empirical kinetic models to interpret the experimental results (linear model, grain model, and volumetric model). Linear model and grain model have the best fit with the experimental results of PKS gasification with steam and CO₂, with R² values of 0.966 and 0.965, respectively. The simulation allowed obtaining results with a good fit with the experimental data (RMSE 0.135) and with greater precision compared to another model simulated in Aspen Plus (RSME 0.282) [4]. The yield of H₂ production as a function of temperature and S/B ratio was estimated by a multiple linear regression model, obtaining that its production oscillates between 80 and 109 g H₂/kg PKS, reaching its maximum peak at 950 °C and an S/B ratio of 0, and the minimum production at a temperature of 700 °C and an S/B ratio of 2.5.

References
1. BP Global Organization, (2015) BP Statistical review of world energy, London.
2. Marrugo, G. et al. (2016) Characterization of colombian agroindustrial biomass residues as energy resources. Energy and Fuels 30, 8386–98.
3. Li, J. et al. (2009) H2 rich gas production by steam gasification of palm oil wastes over supported tri-metallic catalyst. Int J Hydrog Energy 34, 9108–15.
4. Nikoo, M. and Mahinpey N. (2008) Simulation of biomass gasification in fluidized bed reactor using Aspen Plus. Biomass and Bioenergy 32, 1245–54.