scholarly journals An integrated model for interdisciplinary graduate education: Computation and mathematics for biological networks

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257872
Author(s):  
Kelsey E. McKee ◽  
Daniel Serrano ◽  
Michelle Girvan ◽  
Gili Marbach-Ad
Keyword(s):  
Biological Networks ◽  
Network Science ◽  
Graduate Program ◽  
Interdisciplinary Training ◽  
Faculty Advisors ◽  
Social Events ◽  
Engineering Sciences ◽  
Domain 3 ◽  
And Mathematics ◽  
Program Components

The current challenges at the forefront of data-enabled science and engineering require interdisciplinary solutions. Yet most traditional doctoral programs are not structured to support successful interdisciplinary research. Here we describe the design of and students’ experiences in the COMBINE (Computation and Mathematics for Biological Networks) interdisciplinary graduate program at the University of Maryland. COMBINE focuses on the development and application of network science methods to biological systems for students from three primary domains: life sciences, computational/engineering sciences, and mathematical/physical sciences. The program integrates three established models (T-shaped, pi-shaped and shield-shaped) for interdisciplinary training. The program components largely fall into three categories: (1) core coursework that provides content expertise, communication, and technical skills, (2) discipline-bridging elective courses in the two COMBINE domains that complement the student’s home domain, (3) broadening activities such as workshops, symposiums, and formal peer-mentoring groups. Beyond these components, the program builds community through both formal and informal networking and social events. In addition to the interactions with other program participants, students engage with faculty in several ways beyond the conventional adviser framework, such as the requirement to select a second out-of-field advisor, listening to guest speakers, and networking with faculty through workshops. We collected data through post-program surveys, interviews and focus groups with students, alumni and faculty advisors. Overall, COMBINE students and alumni reported feeling that the program components supported their growth in the three program objectives of Network Science & Interdisciplinarity, Communication, and Career Preparation, but also recommended ways to improve the program. The value of the program can be seen not only through the student reports, but also through the students’ research products in network science which include multiple publications and presentations. We believe that COMBINE offers an effective model for integrated interdisciplinary training that can be readily applied in other fields.

“A Bridge Between High School and College”

2017 ◽  
Vol 22 (1) ◽  
pp. 155-179
Author(s):  
Tonisha B. Lane ◽  
Kali Morgan ◽  
Megan M. Lopez
Keyword(s):  
Cognitive Strategies ◽  
Career Readiness ◽  
College And Career Readiness ◽  
Underserved Students ◽  
Program Administrators ◽  
College And Career ◽  
Academic Barriers ◽  
And Mathematics ◽  
Context Specific ◽  
Program Components

Underserved students express a high interest in earning a science, technology, engineering, and mathematics (STEM) degree. However, their ACT benchmark indicators tend to be much lower than their peers, especially for students who report more than one underserved attribute. There are a number of STEM intervention programs (SIPs) that are designed to retain and graduate underserved students in STEM. Yet, relatively few engage in theoretically driven, empirical research to elucidate what program components contribute to college readiness. Using Conley’s college and career readiness framework, this qualitative case study examined how one SIP helped underserved students overcome academic barriers and acquire context-specific knowledge. Findings revealed that nine interrelated practices and activities contributed to students feeling better prepared for the STEM curriculum and college expectations. Still, more attention could have been devoted to advancing key cognitive strategies. This article concludes with practical implications for SIP program administrators and faculty.

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

2022 ◽  
Author(s):  
Lionel Alangeh Ngobesing ◽  
Yılmaz Atay
Keyword(s):  
Biological Networks ◽  
Network Science ◽  
Water Cycle ◽  
Label Propagation ◽  
Functional Enrichment ◽  
Iteration Algorithm ◽  
Water Cycle Algorithm ◽  
Normalized Mutual Information ◽  
Evaluation Parameters ◽  
Information Functional

Abstract: 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.

Occupational Therapy Graduate Program Needs Part II

1985 ◽  
Vol 52 (3) ◽  
pp. 125-131 ◽  
Author(s):  
Patricia Wood ◽  
Helen Madill
Keyword(s):  
Occupational Therapy ◽  
Graduate Education ◽  
Graduate Program ◽  
Similar Response ◽  
Response Patterns ◽  
Mail Questionnaire ◽  
Graduate Degrees ◽  
Financial Factors ◽  
Potential Demand ◽  
Program Components

This article concludes a two-part review of graduate education in occupational therapy, with the results of a survey of 309 therapists and 68 administrators from the prairie provinces. Three areas were included in the mail questionnaire: graduate program components, potential demand, and factors likely to affect enrolment. Therapists and administrators had remarkably similar response patterns on desirable program components. Therapists expressed a need for graduate level education and administrators indicated a need for therapists with graduate degrees. Therapists indicated a variety of family and financial factors limiting their ability to enroll in graduate study. A small number of administrators indicated that assistance was available.

scholarly journals Interdisciplinary Training in Mathematical Biology through Team-based Undergraduate Research and Courses

2010 ◽  
Vol 9 (3) ◽  
pp. 284-289 ◽  
Author(s):  
Jason E. Miller ◽  
Timothy Walston
Keyword(s):  
Mathematical Biology ◽  
Undergraduate Research ◽  
Lessons Learned ◽  
State University ◽  
Interdisciplinary Training ◽  
Research Experiences ◽  
Research Collaborations ◽  
Mathematics Program ◽  
And Mathematics ◽  
Interdisciplinary Courses

Inspired by BIO2010 and leveraging institutional and external funding, Truman State University built an undergraduate program in mathematical biology with high-quality, faculty-mentored interdisciplinary research experiences at its core. These experiences taught faculty and students to bridge the epistemological gap between the mathematical and life sciences. Together they created the infrastructure that currently supports several interdisciplinary courses, an innovative minor degree, and long-term interdepartmental research collaborations. This article describes how the program was built with support from the National Science Foundation's Interdisciplinary Training for Undergraduates in Biology and Mathematics program, and it shares lessons learned that will help other undergraduate institutions build their own program.

METHODOLOGY OF THE TEACHING OF FINITE MATHEMATICS AT THE PEDAGOGICAL UNIVERSITIES DUE TO THE NEW TRENDS IN THE EVOLUTION OF THE MATHEMATICAL SCIENCES

2021 ◽  
pp. 92-100
Author(s):  
D. GADJIEV
Keyword(s):  
Instructional Strategies ◽  
Numerical Solutions ◽  
Binomial Coefficients ◽  
Binomial Theorem ◽  
Binomial Expansion ◽  
Finite Mathematics ◽  
Engineering Sciences ◽  
Pedagogical Orientation ◽  
Mathematical Sciences ◽  
And Mathematics

There were introduced new methods of the teaching and instruction of the following parts of the Pre-calculus: (1) Binomial Series; (2) Trigonometry; (3) Partial Fractions. The problems introduced in the article for the Pre-Calculus Course in Finite Mathematics was developed by the author. These unabridged problems are developed within the new trends in the evolutions of the novelty of the syllabi in Mathematics due to the development of the Mathematics Sciences / Theory and Applications. These new trends in the Theory and Application of Mathematics Sciences have been added new demands to the newly revised textbooks and corresponding syllabi for the Mathematics Courses taught at the Junior two years Colleges and Pedagogical Universities.These newly developed problems are reflection of the Development of Mathematical and Engineering Sciences to offer great amount of learning conclusion/sequel to those who pursue a bachelor’s degree at the universities of the pedagogical orientation. The problems presented in the article here are developed and restructured in terms of the newly developed techniques to solve the problem in Finite Mathematics and Engineering sciences. Moreover, the techniques offered in the article here are more likely to get utilized in Advanced Engineering Sciences, too, within the content of the problems, which require to obtain finite numerical solutions to the Real Phenomena Natural Problems in Engineering Sciences and Applied Problems in Mathematical Physics.The aim of this present publication is to offer new advanced techniques and instructional strategies to discuss methodology and instructional strategies of the mathematical training of the students at the Pedagogical Universities. Moreover, these new teaching techniques and strategies introduced may be extended to the engineering sciences at the technical universities, too.The results and scientific novelty of the introduced methodology and learning conclusions and sequel of the new knowledge the students at the Pedagogical universities may be benefited from are in the following list of the learning conclusions, presented in the article here. The students of the pedagogical orientation may attain the mastery skills in the following sections of the combinatorics in Finite Mathematics subject:- The n! Combination of n different terms.- Evaluate the expressions with factorials.- Identify that there are -!!( )!nrnr various of combinations of r identical terms in n variations.- Identify and evaluate the combinatorial coefficients from the Binomial Theorem.- Identify and able to build the Pascal’s triangle of the binomial coefficients.- Utilize the Binomial Theorem to expand the binomial formula for any natural powers.- Utilize the Binomial Theorem to obtain the general formula for the n-th term of binomial expansion.- Utilize the Sigma Symbols in the Binomial Theorem for the n-th terms of the binomial expansion. 19- Generate the expansion for the power of the ex, where e is the base of natural logarithmic function y = f(x) = x.Practical significance: the methods of teaching and new teaching strategies offered here in the article alongside with the application of the new trends in the development of mathematical and mathematics education sciences can be useful for prospective and currently practicing teachers of mathematics. Moreover, the materials presented here in this article can be useful for the educational professionals in their professional development plans to improve the quality in education

scholarly journals A Review of and Some Results for Ollivier–Ricci Network Curvature

Mathematics ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1416
Author(s):  
Nazanin Azarhooshang ◽  
Prithviraj Sengupta ◽  
Bhaskar DasGupta
Keyword(s):  
Ricci Curvature ◽  
Network Science ◽  
Topological Spaces ◽  
Topological Properties ◽  
Approximate Computation ◽  
Curvature Measure ◽  
Higher Dimensional ◽  
Science Domain ◽  
And Mathematics

Characterizing topological properties and anomalous behaviors of higher-dimensional topological spaces via notions of curvatures is by now quite common in mainstream physics and mathematics, and it is therefore natural to try to extend these notions from the non-network domains in a suitable way to the network science domain. In this article we discuss one such extension, namely Ollivier’s discretization of Ricci curvature. We first motivate, define and illustrate the Ollivier–Ricci Curvature. In the next section we provide some “not-previously-published” bounds on the exact and approximate computation of the curvature measure. In the penultimate section we review a method based on the linear sketching technique for efficient approximate computation of the Ollivier–Ricci network curvature. Finally in the last section we provide concluding remarks with pointers for further reading.

scholarly journals Gene expression profiling of the left ventricles in a rat model of intrinsic aerobic running capacity

2005 ◽  
Vol 23 (1) ◽  
pp. 62-71 ◽  
Author(s):  
Soon Jin Lee ◽  
Justin A. Ways ◽  
John C. Barbato ◽  
David Essig ◽  
Krista Pettee ◽  
...  
Keyword(s):  
Gene Expression ◽  
Candidate Genes ◽  
Biological Networks ◽  
Expression Patterns ◽  
Left Ventricular ◽  
Differentially Expressed ◽  
Molecular Networks ◽  
Rna Expression ◽  
Domain 3 ◽  
Inbred Rat

Our previous work found DA rats superior for intrinsic aerobic running capacity (ARC) and several cardiac function indexes compared with Copenhagen (COP) rats, and identified ARC quantitative trait loci (QTLs) on rat chromosomes 16 (RNO16) and 3 (RNO3). The purpose of this study was to use these inbred rat strains as a genetic substrate for differential cardiac gene expression to identify candidate genes for the observed ARC QTLs. RNA expression was examined globally in left ventricles of 15-wk-old DA, F1(COP × DA), and COP rats using microarrays to identify candidate genes for ARC QTLs. We identified 199 differentially expressed probe sets and determined their chromosomal locations. Six differentially expressed genes and expressed sequence tags (ESTs) mapped near ARC QTL regions, including PDZ and LIM domain 3 ( Pdlim3). Differential expression of these genes/ESTs was confirmed by quantitative RT-PCR. The Ingenuity Pathways program identified 13 biological networks containing 50 (of the 199) differentially expressed probe sets and 85 additional genes. Four of these eighty-five genes mapped near ARC QTL-containing regions, including insulin receptor substrate 2 ( Irs2) and acyl-CoA sythetase long-chain family member 1 ( Acsl1). Most (148/199) differentially expressed probe sets showed left ventricular expression patterns consistent with the alleles exerting additive effects, i.e., F1(COP × DA) rat RNA expression was intermediate between DA and COP rats. This study identified several potential ARC QTL candidate genes and molecular networks, one of them related to energy expenditure involving Pik3r1 mRNA expression that may, in part, explain the observed strain differences in ARC and cardiac performance.

scholarly journals TECNOLOGIAS CONFESSIONAIS: CORPOS QUE SE FAZEM NAS VIRTUALIDADES

2018 ◽  
Vol 2 (4) ◽  
pp. 61-71
Author(s):  
Alexandre Luiz Polizel ◽  
Moises Alves de Oliveira
Keyword(s):  
Social Network ◽  
Mathematics Education ◽  
Michel Foucault ◽  
Graduate Program ◽  
The State ◽  
Teaching Science ◽  
State University ◽  
Production Of Knowledge ◽  
And Mathematics ◽  
Multiple Ontologies

Understanding the production of knowledge and bodies as propositions and compositions of culturalpractices, we place ourselves in this manuscript to think about the constitutions of bodies and corporealities in cyberspace. This, however, is part of a larger dissertation research, developed in the Graduate Program in Teaching Science and Mathematics Education of the State University of Londrina. Thus, we aim, in this work, to draw up considerations about the confessional technologies as instruments of embodiment and virtualization of the bodies. The considerations are raised from the theoretical reference of inspiration in the Cultural Studies of Sciences and of Education and the contributions left by Michel Foucault. We appropriate such theorizations in the production of analytical lenses, which help us during the process of anthropological immersion carried out in a group-space of the facebook social network, identified here as Vale. This immersion moves in order to inquire about multiple ontologies of the bodies, being used in this manuscript, the concept of technologies of confessionalities. We show in the group, confessional regimes that are active by: a) Confession of micro-stories, in publications, as a way of telling oneself; b) Invitations to confessions as operant of agency of wills and production of archives; and (c) response to invitations to confession.

scholarly journals The Relevance of the Master’s in Engineering Education at a University of Technology in South Africa

2019 ◽  
Vol 1 (1) ◽  
pp. 1-9
Author(s):  
Kholeka Moloi ◽  
Maurice Ndege
Keyword(s):  
South Africa ◽  
Engineering Education ◽  
Relevant Literature ◽  
National Development ◽  
Developmental State ◽  
University Of Technology ◽  
Engineering Sciences ◽  
Vision 2030 ◽  
Theoretical Paper ◽  
And Mathematics

AbstractThe purpose of this theoretical paper is to explain the relevance of the Master of Engineering Education (M Eng. in Education) at one university of technology in South Africa, that comprises four distinct faculties. The paper is based on relevant literature review. The M Eng in Education creates the nexus between Engineering Sciences and Education as specific fields of study and research to enhance cross-boundary knowledge, skills, pedagogy and application. This is in line with the South African National Development Plan, Vision 2030, that accentuates the need for Science, Technology, Engineering and Mathematics (STEM) education in the country to address the economy, develop skills, create jobs, eradicate poverty and unemployment towards a capable developmental state. Using a social constructivist lens, the researchers draw from their experiences while working with Engineering lecturers who enrolled for the Postgraduate Diploma in Higher Education (PGDHE) programme, offered within the institution. From the interaction with the Engineers through the PGDHE programme, the researchers found that the teaching and research skills of these engineers fundamentally improved because they had to submit long essay-type assessments. The researchers conclude that the M Eng in Education will enable engineers to teach better and improve student learning within their classrooms.

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