On Braid Group: More Sharpness for Lower Bound of the Number of Conjugacy Classes in Positive Permutation Braids | Chapter 5 | Research and Applications Towards Mathematics and Computer Science Vol. 7

 This member identifies the lower and above bounds for the number of conjugacy classes in positive change braids. Every attainable valve for overpass number, such that, minimum and maximum crossroad numbers, and a more sharpened lower bound on the number of their conjugacy classes in S+n are help such braids accompanying associated type phase (n). Also, for definite permutation braids accompanying associate type cycle (n1,n2, ..., nk) the minimum crossroad number is given.

Author(s) Details:

E. A. Elrifai,
Department of Mathematics, Faculty of Science, Mansoura University, Mansoura 35516, Egypt.

M. Anis,
Department of Mathematics, Faculty of Science, Mansoura University, Mansoura 35516, Egypt.

Please see the link here: https://stm.bookpi.org/RATMCS-V7/article/view/12835

Numerical Investigation for Nonlinear Thermal Radiation in MHD CU-Water Nanofluid Flow in a Channel with Convective Boundary Conditions | Chapter 4 | Research and Applications Towards Mathematics and Computer Science Vol. 7

The associations of nonlinear thermal radiation on a Cu-water nanofluid flow with variable viscosity traits and convective boundary conditions are examined numerically in this chapter. The nonlinear model takes the changing viscosity in the form of the Arrhenius model and disappearance into consideration. The Spectral Local Linearization Order (SLLM) was used to address the nonlinear governing model. Accompanying excellent agreement, the mathematical investigation's findings were distinguished. In Cu-water nanofluid flows with changeable viscosity and convective boundary environments, nonlinear thermal radiation plays an important duty, as this work insightfully demonstrated. This study likewise investigated the impressions of various significant facial characteristics that include the variability determinant, nanoparticle volume fraction, drawing factor, Reynolds number, fallout factor, biot number, Eckert number, against the velocity, hotness, skin friction and Nusselt number. Results demonstrated that accompanying improved principles of the velocity gradient, the vacillations increased while the temperature slope decreased. The results likewise revealed that the Cu-water thermal dispersion lessens as the nanoparticle volume part upsurges. The outcomes of this study have potential requests in industrial systems to a degree power plants, abating systems, and climate control plans.

Author(s) Details:

Yusuf, T. A.,
Department of Mathematics, Adeleke University, Ede, Nigeria.

Adeosun, A. T.,
Department of Basic Sciences, College of Sciences, Federal Polytechnic, Iwo, Nigeria.

Akinsola, V. O.,
Department of Mathematics, Adeleke University, Ede, Nigeria.

Lebelo R. S.,
Education Department, Vaal University of Technology, Private Bag X021, Vanderbijlpark 1911, South Africa.

Akinremi, O. J.,
Department of Mathematics, Landmark University, Omu Aran, Nigeria.

Please see the link here: https://stm.bookpi.org/RATMCS-V7/article/view/12834

Guiding the Learner in Selecting the Suitable Online Course Using Automated AI Tool (Course-AI) | Chapter 3 | Research and Applications Towards Mathematics and Computer Science Vol. 7

Wi-Fi Sensor Networks (WSNs), characterized by energy-forced nodes powered by limited-ability batteries, necessitate energy-effective data compression methods to extend their network lifetime. The ideas module within each sensor node arises as a primary energy services, making data compression a important approach to curtail data broadcast. This paper introduces the Modified Adaptive Edible grain Golomb Coding (MARGC) algorithm as an persuasive compression technique to reinforce the network's lifespan. Simulation results, utilizing various datasets, underscore the feasibility and efficiency of the MARGC algorithm. Furthermore, the invention's real-time exercise on National Instruments Wireless Sensor Network (NI WSN) fittings demonstrates its realistic applicability and performance. To standard our contribution, future work will involve a approximate analysis with existing methods to highlight the superior aspects of the projected MARGC algorithm.

Author(s) Details:

P. V. Siva Kumar,
Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad– 500090, India.

Akhilesh Kumandan,
Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad– 500090, India.

Gautham Mallipeddi,
Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad– 500090, India.

Srinivasa Deepesh Kommineni,
Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad– 500090, India.

Naram Tapan Ganesh,
Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad– 500090, India.

Please see the link here: https://stm.bookpi.org/RATMCS-V7/article/view/12833

Feasibility and Efficacy of Modified Adaptive Rice Golomb Coding for Wireless Sensor Networks | Chapter 2 | Research and Applications Towards Mathematics and Computer Science Vol. 7

Wi-Fi Sensor Networks (WSNs), characterized by energy-forced nodes powered by limited-ability batteries, necessitate energy-effective data compression methods to extend their network lifetime. The ideas module within each sensor node arises as a primary energy services, making data compression a important approach to curtail data broadcast. This paper introduces the Modified Adaptive Edible grain Golomb Coding (MARGC) algorithm as an persuasive compression technique to reinforce the network's lifespan. Simulation results, utilizing various datasets, underscore the feasibility and efficiency of the MARGC algorithm. Furthermore, the invention's real-time exercise on National Instruments Wireless Sensor Network (NI WSN) fittings demonstrates its realistic applicability and performance. To standard our contribution, future work will involve a approximate analysis with existing methods to highlight the superior aspects of the projected MARGC algorithm.

Author(s) Details:

S. Kalaivani,
Department of Electronics and Communication Engineering, B.S.A Crescent Institute of Science and Technology, Chennai, Tamil Nadu, India.

C. Tharini,
Department of Electronics and Communication Engineering, B.S.A Crescent Institute of Science and Technology, Chennai, Tamil Nadu, India.

Please see the link here: https://stm.bookpi.org/RATMCS-V7/article/view/12832

A Study on Interactive Proteomic Data Clustering: A Comparison between Self-Organizing Map and Neural Gas | Chapter 1 | Research and Applications Towards Mathematics and Computer Science Vol. 7

The interconnected system algorithms Self-Organizing Map (SOM) and Affecting animate nerve organs Gas (NG) use unsupervised competing learning. These methods have the fault-finding virtue of maintaining the topological structure of the data, that means that data that are enclose the input distribution are plan to neighboring positions in the network or output. This characteristic form them intriguing to search in terms of dossier clustering. A crucial characteristic resolving vast amounts of data manually maybe challenging and time-consuming. Suitable way, technologies for analyzing and visualizing large multidimensional data sets are necessary.  We introduce a order for comparing and visualizing the SOM and NG in this branch. We describe these algorithms first, and then we create a pictorial comparison betwixt them. The protein mass spectrometry dossier clustering is then elucidated using these imagination approaches.

Author(s) Details:

Terje Solsvik Kristensen,
Department of Informatics, Western Norway University of Applied Sciences, Bergen, Norway and BIC AS, Norway.

Please see the link here: https://stm.bookpi.org/RATMCS-V7/article/view/12831

Merits of Student- Centered Learning in Anatomy | Chapter 13 | Advanced Concepts in Medicine and Medical Research Vol. 10

This stage focuses on merits of student- focused learning in anatomy. Plants plays a crucial act in several medical concentration. Anatomy holds importance not only in clinical practice but also in healing research and advancements. Research studies repeatedly rely on the analysis of physical structures to include disease mechanisms, cultivate new treatments, and advance healing technology. Its act in research is vital for forceful transformation and progress in the medical field. It is preposterous to overstate the dispassionate importance of anatomy in senior medical instruction. Because medical artists examine and cooperate the human body on a daily action, anatomy studies by some means will always be crucial to secure medical practice. It should for core knowledge of plants to be adjusted by all doctors in order to practice medicine harmlessly. It may be valid that most doctors do not need to dissect a cadaver or study a prosection in consideration of practice, but if they do, it can improve their understanding and this inexorably has to be of benefit both for the security of the patient and satisfaction of the doctor as a professional.  Professor-centered learning is various from student-focused learning in that the erstwhile refers to methods of command where students are admitted to take charge of education activities, actively take part in class discussions, generate their own learning projects, investigate issues that pique their interest, and generally help to design their own coursework.In consideration of the prior lecture-based plan, we should devise and implement an instructional design that emphasizes the unification of student-concentrated pedagogy and active education. Students' stances and performance will improve over opportunity as a result of these adaptations. Although the changes to be executed may demand a significant time obligation in the first year, it will basically be a “one time investment” cause it will not require extra exertion to teach the revised model from now on. Furthermore, it will not only support a model for revision of an individual course but can also determine a catalyst for uniform reform.

Author(s) Details:

Sharadkumar Pralhad Sawant,
Department of Anatomy, K. J. Somaiya Medical College and Research Centre, Sion, Mumbai, India.

Shaheen Rizvi,
Department of Anatomy, K. J. Somaiya Medical College and Research Centre, Maharashtra University of Health Sciences (MUHS), India.

Please see the link here: https://stm.bookpi.org/ACMMR-V10/article/view/12838

Epigenetic Aberrations in Mental Disorders are Linked to Diet and Gut Microbiome Alterations | Chapter 12 | Advanced Concepts in Medicine and Medical Research Vol. 10

Food and metabolism modify epigenetic codes to a degree histone methylation or acetylation and DNA methylation intervened by bioactive nutrients and gut microbial factors by way of influencing the gut–brain hinge, which adjust neuronal activity and behavior.This stage discusses epigenetic aberrations had connection with diet and gut microbiome alterations in major psychiatric afflictions such as schizophrenia, manic-depressive illness, and autism. Here, this study first argued modifications to the structure and makeup of gut microbiome and their duty in brain functional changes in weighty mental sicknesses. Afterwards, potential interactions with maternal diet, environmental determinants, nutrition, and gastrointestinal microbiome, and their acts in the pathogenesis of mental illnesses by way of epigenetic changes were discussed. This study still provided an overview of the friendship between the gut microbiome, oxidative stress, and inflammation moving epigenetic mechanisms. Furthermore, this chapter presented latent mechanisms which arbitrate the influence of gut microbiome, probiotics, and psychiatric drugs on insane health via microbiome-epigenetic modifications. Completely, it was concluded that disease pathogenesis is connected to changes in the microbiome structure/arrangement by perturbing the microbiome–gut-brain axle functions. Further research is needed to obtain better insights on unusually transmitted microbiomes on infant well-being, to mitigate the inceptions of neurodevelopmental diseases at early ages.

Author(s) Details:

Shabnam Nohesara,
Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA.

Hamid Mostafavi Abdolmaleky,
Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA and Department of Surgery, Nutrition / Metabolism Laboratory, Beth Israel Deaconess Medical Center, Harvard Medical School, Boson, MA, 02215, USA.

Sam Thiagalingam,
Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA and Department of Pathology & Laboratory Medicine, Boston University School of Medicine, Boston, MA, 02118, USA.

Please see the link here: https://stm.bookpi.org/ACMMR-V10/article/view/12837