A Comparative Study of the Information-Seeking Behavior of Bachelor of Science and Master of Science Agricultural Extension and Education Students

This study compares information-seeking behavior of Bachelor of Science and Master of Science students in the fields of agricultural extension and education. The authors surveyed Iranian students in departments of agricultural extension and education at four universities in Tehran, Shiraz, Mollasani, and Kermanshah. This study focused on three aspects: (1) comparison of amounts of information-seeking behavior between Bachelor of Science and Master of Science agricultural extension and education students; (2) comparison of information-seeking behavior varieties in Bachelor of Science and Master of Science agricultural extension and education students; (3) Comparison of amounts of available information resources at four universities and its effectiveness on students' information-seeking behavior; and (4) comparison of research and educational outputs in Bachelor of Science and Master of Science students. Scale free technique, division by mean method, principal components analysis technique, Delphi method, t-test, correlation and regression tools were used for data analysis. This study revealed that Bachelor of Science students' information-seeking behavior is for improving educational output, but Master of Science students' information-seeking behavior is for promoting research output. Among varieties of Internet searching skills, library searching skills, and awareness of library information-seeking methods with students' information-seeking behavior, there are not significant differences between two groups of students.

Generalized Metropolis dynamics with a generalized master equation: An approach for time-independent and time-dependent Monte Carlo simulations of generalized spin systems

The extension of Boltzmann-Gibbs thermostatistics, proposed by Tsallis, introduces an additional parameter q to the inverse temperature beta. Here, we show that a previously introduced generalized Metropolis dynamics to evolve spin models is not local and does not obey the detailed energy balance. In this dynamics, locality is only retrieved for q = 1, which corresponds to the standard Metropolis algorithm. Nonlocality implies very time-consuming computer calculations, since the energy of the whole system must be reevaluated when a single spin is flipped. To circumvent this costly calculation, we propose a generalized master equation, which gives rise to a local generalized Metropolis dynamics that obeys the detailed energy balance. To compare the different critical values obtained with other generalized dynamics, we perform Monte Carlo simulations in equilibrium for the Ising model. By using short-time nonequilibrium numerical simulations, we also calculate for this model the critical temperature and the static and dynamical critical exponents as functions of q. Even for q not equal 1, we show that suitable time-evolving power laws can be found for each initial condition. Our numerical experiments corroborate the literature results when we use nonlocal dynamics, showing that short-time parameter determination works also in this case. However, the dynamics governed by the new master equation leads to different results for critical temperatures and also the critical exponents affecting universality classes. We further propose a simple algorithm to optimize modeling the time evolution with a power law, considering in a log-log plot two successive refinements.

Master Equation: Biological Applications and Thermodynamic Description

It is well known that many realistic mathematical models of biological systems, such as cell growth, cellular development and differentiation, gene expression, gene regulatory networks, enzyme cascades, synaptic plasticity, aging and population growth need to include stochasticity. These systems are not isolated, but rather subject to intrinsic and extrinsic fluctuations, which leads to a quasi equilibrium state (homeostasis). The natural framework is provided by Markov processes and the Master equation (ME) describes the temporal evolution of the probability of each state, specified by the number of units of each species. The ME is a relevant tool for modeling realistic biological systems and allow also to explore the behavior of open systems. These systems may exhibit not only the classical thermodynamic equilibrium states but also the nonequilibrium steady states (NESS). This thesis deals with biological problems that can be treat with the Master equation and also with its thermodynamic consequences. It is organized into six chapters with four new scientific works, which are grouped in two parts: (1) Biological applications of the Master equation: deals with the stochastic properties of a toggle switch, involving a protein compound and a miRNA cluster, known to control the eukaryotic cell cycle and possibly involved in oncogenesis and with the propose of a one parameter family of master equations for the evolution of a population having the logistic equation as mean field limit. (2) Nonequilibrium thermodynamics in terms of the Master equation: where we study the dynamical role of chemical fluxes that characterize the NESS of a chemical network and we propose a one parameter parametrization of BCM learning, that was originally proposed to describe plasticity processes, to study the differences between systems in DB and NESS.

Chaperone BiP: Master regulator of the unfolded protein response (UPR) and its role in regulation of angiogenesis

Verschiedene Krankheiten gehen mit einer fehlerhaften Vaskularisierung einher. Allerdings ist der Erfolg der derzeitig vorhandenen Therapieansätze, die sich z.B. auf VEGF fokussieren, beschränkt. Aus diesem Grund ist es wichtig, neue Strategien zur Regulation der Angiogenese zu entwickeln. Hierbei stehen neue Signaltransduktions-wege im Fokus, die sich als vielversprechend erweisen, um Angiogenese zu fördern oder zu inhibieren. Die Blutgefäßneubildung ist ein hochregulierter Prozess, der mit einer hohen Proteinsyntheserate verknüpft ist. Die Angiogenese wurde bereits mit dem ER-Stress Signaltransduktionsweg, der Unfolded Protein Response (UPR), in Verbindung gebracht (Zeng et al., 2013; Bouvier et al., 2012). Eine im Rahmen der vorliegenden Studie durchgeführte histologische Untersuchung konnte eine Fehlregulierung der Expression von UPR beteiligten Proteinen in vivo unter pathologischen Bedingungen gezeigt werden. Bemerkenswerter Weise war BiP, der Hauptsensor der UPR, in Endothelzellen von Angiosarkomen sehr stark exprimiert. In in vitro Experimenten wurde gezeigt, dass das Herunterregulieren von BiP mittels RNAi Einfluss auf die inflammatorische Antwort und die Bildung angiogener Strukturen in Endothelzellen nimmt. Das Herunterregulieren des Proteins BiP verstärkte die inflammatorische Antwort von HUVEC, was sich in einer gesteigerten Bildung von IL-8 und ICAM-1 äußerte und wurde auf die Aktivierung der UPR durch die verringerte Menge an BiP zurückgeführt. Der Phänotyp BiP-herunterregulierter Zellen entsprach dem untransfizierter Zellen, welcher durch das Cytoskelett und die Expression des endothelspezifischen Markers CD31 charakterisiert wurde. Im Gegensatz dazu änderte sich der Grad der Glykosylierung in transfizierten Zellen. Im Hinblick auf die Blutgefäßbildung, zeigten sich eine gehemmte Migration und eine inhibierte Bildung Gefäß-ähnlicher Strukturen in BiP-herunterregulierten Zellen. In diesen Zellen war die Expression von KDR auffallend stark inhibiert, wohingegen die Flt-1 Expression sich als gleichbleibend herausstellte, was ebenfalls auf die Aktivierung der UPR zurückgeführt werden konnte. Alternativ wäre der reduzierte Level des Proteins BiP im Hinblick auf die Funktion als Helferenzym in der Proteinfaltung eine mögliche Erklärung für die gehemmte Expression von KDR. Die Ergebnisse dieser Studie deuten darauf hin, dass stabile Spiegel von BiP die Regulierung der Angiogenese durch die Kontrolle der UPR in physiologischen Prozessen unterstützen könnte. Eine Fehlregulierung von BiP durch Unterdrückung der UPR, wie z.B. in malignen Tumoren, könnte Tumorzellen und beteiligten Endothelzellen einen Vorteil verschaffen und zu einer gestörten Vaskularisierung führen. Somit stellt das Stresssensorprotein BiP und die UPR einen potentiellen Angriffspunkt für die Regulation der Angiogenese dar.

Fuzzy Multi-Objective Linear Programming and Simulation Approach to the Development of Valid and Realistic Master Production Schedule

Master production schedule (MPS) plays an important role in an integrated production planning system. It converts the strategic planning defined in a production plan into the tactical operation execution. The MPS is also known as a tool for top management to control over manufacture resources and becomes input of the downstream planning levels such as material requirement planning (MRP) and capacity requirement planning (CRP). Hence, inappropriate decision on the MPS development may lead to infeasible execution, which ultimately causes poor delivery performance. One must ensure that the proposed MPS is valid and realistic for implementation before it is released to real manufacturing system. In practice, where production environment is stochastic in nature, the development of MPS is no longer simple task. The varying processing time, random event such as machine failure is just some of the underlying causes of uncertainty that may be hardly addressed at planning stage so that in the end the valid and realistic MPS is tough to be realized. The MPS creation problem becomes even more sophisticated as decision makers try to consider multi-objectives; minimizing inventory, maximizing customer satisfaction, and maximizing resource utilization. This study attempts to propose a methodology for MPS creation which is able to deal with those obstacles. This approach takes into account uncertainty and makes trade off among conflicting multi-objectives at the same time. It incorporates fuzzy multi-objective linear programming (FMOLP) and discrete event simulation (DES) for MPS development.