Development of big data and IoT is rapidly increasingly and affecting all the major technologies and the business by increasing the benefits for the individual and organisations. The increasing growth of data of IoT devices has played a major role for use of Big Data. Big data is categorize into three aspects (a) Variety (b) Volume (c) Velocity [1]. These categories are introduced by Gartner to describe the elements of big data challenges. Various opportunities are presented by the capability to analyze and utilize huge amounts of IoT data, including applications in smart cities, smart transport and grid systems, energy smart meters, and remote patient healthcare monitoring devices. The more popularity of Internet of Things day by day has made a big data analytics challenging because of the processing and collection of data through different sensors in the IoT network. The IoT data are totally different from normal big data collected through systems in terms of characteristics because of the various sensors and objects involved during data collection, which include heterogeneity, noise, variety, and rapid growth.

Salmonella infection is an important foodborne consumer health concern that can be mitigated during food processing. Bacteriophage therapy imparts many advantages over conventional chemical preservatives including pathogen specificity, natural derivation, potency, and providing a high degree of safety. The objective of this study aimed to isolate and characterize phages that effectively control Salmonella food contamination. A total of 36 bacteriophages infecting Salmonella enterica were isolated, tested at different pH ranging from 3 to 11, and at high temperatures from 37 ° C to 70 ° C, then tested against 11 strains in order to define their host range. The kinetics of phages have been studied in order to understand their lysis process. The genomic restriction profile of the isolated phages was interpreted following the action of 5 restriction enzymes (BamHI, EcoRI, HindIII, and EcoRV, and NdeI). Tests of the application of these phages were carried out on a food matrix in order to evaluate their ability to fight against Salmonella enterica. The results obtained are very encouraging, showing the possibility of using the bacteriophages isolated against Salmonella enterica, which can have a significant socio-economic impact.

Background and aim:

The rapid development of aquaculture, its intensification, and the occurrence of fish health problems on farms push to develop alternative methods to antibiotics and chemotherapy for controlling fish diseases. In this regard, the application of antibiotics as therapeutic and/or prophylactic strategies during fish production may lead to serious health and environment problems such as bacterial drug resistance development and dissemination, and food safety concerns. Probiotics may provide a potential alternative method to protect fish from opportunistic and pathologic bacteria and promote a balanced environment.

Methods: Evaluating the in vitro probiotic properties of nine bacteria of aquatic or gut of gilt-head bream for their application in aquaculture. Selection was was assayed by subtractive screening with several criteria including, their antimicrobial activity (Bacteriocin) against fish pathogens, tolerant to low pH and bile salts, their secretion of enzymes and finally their in vitro safety assessment

Results:

Two of the nine bacteria isolated from several biotopes showed strong antibacterial activity against several pathogenic species such as Lactococcus garvieae, Vibrio anguillarum, Vibrio harveyi, Aeromonas hydrophila and Aeromonas salmonicida. These endospores-forming strains were withstand gastrointestinal conditions, produced a notable amylase, protease and lipase activities, showed high percentages of hydrophobicity, auto-aggregation and co-aggregation with fish pathogens and a strong adhesion to several fishes mucus and presented also a strong inhibition of pathogens adhesion. The tested strains showed a great heterogeneity respect to their safety and antibiotic susceptibility and were taxonomically identified by partial 16S rDNA gene sequencing.

Conclusion:

Given their antimicrobial activity against fish pathogens and their safety, some of the tested strains may be considered as potential fish probiotics, and their effectiveness will be further tested in vivo.

Dear colleagues worldwide, we invite you to MOL2NET-07, Conference on Molecular, Biomedical, and Computational Sciences and Engineering (Formerly International Conference on Multidisciplinary Sciences), ISSN: 2624-5078, MDPI SciForum, Basel, Switzerland, 2021. MOL2NET is an international conference formed by an association of several inter-university tans-Atlantic congresses (Click here [Sessions] or see left panel menu). These congresses are hosted by one chairperson of a North America/Europe university and one or various co-host chairpersons from other centers worldwide.
Topics of interest. Even when the conference as a whole is multi-disciplinary each congress normally focus on specific niches of interest at interface of Chemistry, Molecular Engineering, Biomedical Engineering, or Computational Sciences and Engineering. As results the topics of interest are wide and range from the study of small molecules phenomena to the behavior of large complex networks in nature and society. This include but is not limited to, Chemistry (All areas), Mathematics (Applied), Physics (Applied), Materials Science, Nanotechnology, Biology and Life Sciences (All areas), Medicine, Biomedical Engineering, Education, along with Computer Sciences, Data Analysis, Statistics, Artificial Intelligence, Deep Learning, Bioinformatics, Systems Biology, and Complex Networks Sciences.

MOL2NET Congresses (Sessions). This a multidisciplinary conference formed by various interrelated congresses (Click here [Sessions] or see left panel menu). Consequently, most congresses share topics. From previous section you can conclude that the topics of interest covered are wide. However, you can find thematic congresses focused closely related areas of interest. You can participate both online or in person (face-to-face) in some of the congresses we organize in different universities worldwide (see sessions in the conference menu). Publication of all communications of the congresses will be online via the platform SciForum. We welcome proposals for organization of congresses in different universities. Please, do not hesitate to contact conference chairperson and/or scientific committee presidents.
CHEMBIOMOL congress focus on Chemical Synthesis, Medicinal Chemistry, Vaccine Design, Biotechnology, and related areas. NANOBIOMAT congress focus on Nanotechnology, Materials Sciences, Polymers, Physical Chemistry, and related areas. CHEMBIOINFO congress focus on Cheminformatics, Bioinformatics, Drug Discovery, Quantum Chemistry, etc. AIMEDIC congress focus on Artificial Intelligence, Medical Imaging, and Biomedical Engineering, etc.

Conference schedule. The conference runs as year-round conference series with two main stages. These stages are: (1) Call for papers and (2) Post-publication reviews. In the first stage we open independent congresses in person and/or online, receive papers, carry out pre-publication review of papers, and perform online publication. Please, read the [MOL2NET Publication Schedule]. Consequently, submissions are open to be published asap upon acceptance in Sciforum platform almost all year at no cost for authors (year-round and free of cost publication). Depending on the schedule we also run a second stage called [MOL2NET Post-Publication Schedule]. On the Post-publication stage we close submission of papers and invite all members of committee, authors, and validated social network followers, to become post-publication reviewers. In this moment members of all workshops can interact together on brain-storming sessions making online comments each other.

Headquarters and Supporters. MOL2NET runs both online and/or in person congresses in host universities worldwide and at the SciForum platform maintained by the editorial MDPI, Basel, Switzerland. The idea of this multidisciplinary conference emerged from the melting pot formed as the result of multiple collaborations of professors from many centers worldwide.

International Partners. Internationally, professors and researchers world around are the main partners, co-host chairs, and/or committee members. From North America side's researchers from Stanford Center for Biomedical Informatics Research (BMIR), Stanford University (STANFORD), USA; Center for the Study of Biological Complexity (CBDS) of Virginia Commonwealth University (VCU), USA; Miami Dade College (MDC), USA; North Dakota State University (NDSU), USA; Jackson State University (JSU), USA, and Carleton University (CARLETON), Canada, among others, are hosts of our congresses. From Europes's side researchers and/or professors from European Bioinformatics Institute (EMBL-EBI) Cambridge, University of Birmingham (UBIRMINGHAM), University of Portsmouth (UPORT), United Kingdom, Universität Rostock Institut für Chemie (UROSTOCK), Germany, Centre National de la Recherche Scientifique (CNRS), and Université Paris-Saclay (UPS), Paris, France, are some of the co-hosts of our congresses. In addition, other institutions are co-founders and/or supporters of this conference worldwide, plz see full list on committee.

Headquarters & Local Partners. The Local Headquarters (HQs) of this conference series are in the Faculty of Science and Technology, University of Basque Country (UPV/EHU), Basque Country, Spain. More specifically, the founders and strongest supporters of the conference are professors endowed by IKERBASQUE, Basque Foundation for Sciences (IKERBASQUE) and professors from the Dept. of Org. & Inorg. Chem. In addition, professors affiliated to Basque Centre for Biophysics (BIOFISIKA) of the University of Basque Country (UPV/EHU), and Center for Cooperative Research in Biosciences (CICBIOGUNE), with ties to previous departments are also supporters of this conference. Last, professors from the Department of Computer Sciences of the University of Coruña (UDC), Galicia, Spain act also as local co-hosting partners. Please, see full committees lists [MOL2NET HONOR & SCI COMMITTEE] and [MOL2NET-IKERBASQUE Staff]. In this sense, all these and other local and international centers acts as co-hosting partners for some of the workshop sessions of this conference.

MOL2NET Lemma and Topics of Interest. The acronym MOL2NET summarizes the running title of this conference: FROM MOLECULES TO NETWORKS. This lemma is inspired by the possibility of spreading the knowledge about multiple topics by promoting multidisciplinary collaborations in science with conferences including topics ranging from quantum world to large social networks. In this sense, the spirit of this conference is in consonance with the lemma EMAN TA ZABAL ZAZU (Give and extend knowledge). This anthem from the 19th century is written in Basque language (Euskera) and is used now a days as the official motto of the University of Basque Country (UPV/EHU). We suggest you to download the template to write your communications for conference workshops [MOL2NET 2021 Template.doc]. Whoever, some other congresses of the series have their custom templates. Please, read carefully the [Instructions to authors] about publication model, copyright, authors responsibilities, etc.
MOL2NET-MDPI JCR Journals Issues. In parallel, the members of committees and/or authors are encouraged to edit special issues for different journals of the editorial MDPI (http://www.mdpi.com/). The special issue is now in call for papers, submissions are welcome in a posteriori, in parallel, or totally independently from the conference. Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website.

In order to send a proposal of associated workshop and/or special issue contact the chairperson of the conference Prof. González-Díaz H. IIKERBASQUE Prof., University of the Basque Country (UPV/EHU), Biscay, Basque Country, Spain. Email: mol2net.chair@gmail.com. Please, check here [MOL2NET-MDPI JCR Journal Issues] details about the special issues, titles, editors, and a list of past and present special issues and selected papers associated to our conference.

Thank You For Your Support!!!

MOL2NET & USEDAT Chairman

Prof. González-Díaz H., IKERBASQUE Professor, https://orcid.org/0000-0002-9392-2797, Email: mol2net.chair@gmail.com, (1) Dept. of Organic and Inorganic Chemistry and Basque Center for Biophysics, University of the Basque Country UPV/EHU , 48940, Leioa, Biscay, Spain. (2) IKERBASQUE, Basque Foundation for Science , 48011, Bilbao, Biscay, Spain.

Scientific research is based upon finding a solution to a particular problem one can identify. There are various methods of formulating a research design for the study. Two broad approaches of data collection and interpretation in research are qualitative and quantitative research. The elementary method of conducting research was quantitative, but recently, qualitative method of research has also gained momentum among researchers.

Qualitative research focuses in understanding a research query as a humanistic or idealistic approach. Though quantitative approach is a more reliable method as it is based upon numeric and methods that can be made objectively and propagated by other researchers. Qualitative method is used to understand people's beliefs, experiences, attitudes, behavior, and interactions. It generates non-numerical data. The integration of qualitative research into intervention studies is a research strategy that is gaining increased attention across disciplines. Although once viewed as philosophically incongruent with experimental research, qualitative research is now recognized for its ability to add a new dimension to interventional studies that cannot be obtained through measurement of variables alone.[1] Qualitative research was initially used in psychological studies when researchers found it tedious to evaluate human behavior in numeric. Since then, qualitative research is used in other research fields as well. In clinical research, qualitative approach can help view the data more extensively. It strengthens clinical trials by enhancing user involvement in it.

In this paper, The nature of qualitative research, Qualitative research designs, Methods of collecting qualitative data, Handling qualitative research data, Analysing qualitative results and Presenting the results of qualitative research are explained in depth.

This work is a review of techniques and models for the simulation of crystalline structures. On the one hand, molecular simulation techniques are explained, including quantum techniques such as ab initio, semi-empirical and DFT, and on the other hand classical techniques such as minimization, molecular dynamics and Monte Carlo. Applications of molecular simulation techniques are also analyzed: determination of crystalline structures, how to proceed to create a model and Software example.

Bioactive compounds have a wide variety of uses, especially in the clinic. Among the syntheses of natural products with great prominence, are the aminonitriles, which conceive versatile construction groups, which had its discovery in 1850 by Adolph Strecker, since then, several studies have been carried out envisioning new applications for these substances. This study provides an overview of the potential application of aminonitriles in terms of pharmacological and clinical aspects. For its realization, the narrative review method was used, with the use of the PICo strategy to conduct the investigation. The search took place in November and December 2020, aiming at a broad analysis of the scientific bibliography in order to acquire and update the knowledge, highlighting the new ideas and outstanding methods on the assigned subject, without the need to submit the study to an ethics committee in search. Aminonitriles are compounds that contain as functional group an amino (NH2) and a nitrile (CN), they have several reactivity modes, among them hydrolysis, α-deprotonation, quarternization, reductive decay, nitrile reduction and retro reaction -Strecker. The studies reveal a great emphasis on the microbiological and anticancer potential, protagonism in the inhibition of proteases such as cathepsin C, and in the synthesis of natural products, such as alkaloids. Thus, there is still a need for investigative research that explores the antibacterial and viral potential, as well as clinical studies that provide greater evidence of the potential of these agents and their derivatives against tumors.

In this work we carry out a short review of the fusion of nanotechnology and nanoscale MOFs (nMOFs) that have significant potential for biomedical applications. In addition to analyzing the therapeutic applications of its use in imaging and biosensors and the fundamental challenges and perspectives, we propose a series of improvements and future studies.

The current project is proposing a simple, fast and free solution to predict COVID-19 using a chest X-ray image as inputs and python scripts with deep learning from Fastai package. This is a prototype classifier to be improved and implemented as Web and mobile apps.

Health psychology is a branch of psychology which studies the psychology of the patient’s behaviour, the role of psychic factors in the origin and development of the diseases, the psychology of relationships between doctor, staff and patient, as well as the use of a psychological approach in their assessment and treatment in medical practice. Nowadays, researchers in Health psychology are interested in applied psychology issues conducting research on how patients are treated in hospital, how social factors influence the behaviour of an individual patient, how to motivate health workers to perform at a higher level etc. These research questions cannot be answered by lab experiments as one has to go to the field and the real life situation like the classroom etc., to find answers to the research issues mentioned above. Thus, the quasi-experimental research came into existence. Quasi-experimental research eliminates the directionality problem because it involves the manipulation of the independent variable. It does not eliminate the problem of confounding variables, however, because it does not involve random assignment to conditions. For these reasons, quasi-experimental research is generally higher in internal validity than correlational studies but lower than true experiments. Quasi-experimental research design can be more easily implemented in natural settings and one can make direct assessment of subjects, find out the effects of a specific treatment introduced by the researcher, and while doing so the researcher can also minimise the influence of extraneous variables. In this paper, the quasi - experimental design is discussed for health psychology.