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Thailand Research Fund (TRF

Social indeterminacy and Quine's indeterminacy thesis

This article examines whether Willard Van Orman Quine’s indeterminacy thesis can be sustained. The argument from above, Quine argues, can derive indeterminacy as its conclusion. I will argue that the indeterminacy claim cannot be sustained. I further argue that Quine changed the formulation of the underdetermination of theory by evidence (UTE) argument from what Duhem said to the Quine/Pierce meaning verification view, in order use the new formulation of UTE to imply indeterminacy. Given all that, we see when we apply the old UTE argument we only arrive at underdetermination of theory by evidence, and that applies to all sciences, philosophy and knowledge, including philosophy of language

Exploring Searle's Social Ontology

In this short article, I will explore John Searle’s social ontology project from the perspective of social epistemology. The outcome of my analysis is that language is decisive for the collective acquisition and production of knowledge. I agree with Searle regarding the exposure of language as a central constitutive component of social forms of knowledge, a component that plays a significant role in the development of social epistemology

Exploring Searle's Social Ontology

In this short article, I will explore John Searle’s social ontology project from the perspective of social epistemology. The outcome of my analysis is that language is decisive for the collective acquisition and production of knowledge. I agree with Searle regarding the exposure of language as a central constitutive component of social forms of knowledge, a component that plays a significant role in the development of social epistemology

A comprehensive approach to the design of advanced well completions

Advanced Well Completions (AWCs) employing Downhole Flow Control (DFC) technology such as Inflow Control Devices (ICDs), Interval Control Valves (ICVs),Autonomous Inflow Control Devices (AICDs) and/or Annular Flow Isolations (AFIs) provide a practical solution to the challenges normally encountered by conventional wells. Both oilfield operating companies and several researchers have developed workflows to identify the optimum well location and field development well configuration. However, all these approaches do not at present consider optimising advanced well completions employing DFCs. The objective of this thesis is to provide an automated, comprehensive workflow to identify the optimum advanced well completion design that ensures an optimum well performance throughout the well’s and field’s life. This study starts by describing the history of ICD, AICD, ICV and AFI development with emphasis on the (near and) fully commercially available types and their areas of application. The thesis then reviews the flow performance of available ICD, ICV and AICD types. It reviews the available advanced completion modelling techniques and their historical development. This allows provision of guidelines on how to model DFC technologies performance when combined with AFIs over the well’s life. It shows how the value of such well-construction options can be quantified using these tools. The thesis introduces a novel workflow outlining the process of designing ICD completions with or without AFIs for different well architectures applied in different reservoir types for production or injection purposes. The workflow incorporates: the ICD restriction sizing; the requirement for AFI, their frequency and distribution; the impact of ICD reliability throughout the life of the well, the effect of uncertainty on the design parameters, installation risks and the resulting economic value. This workflow is then extended to the design and evaluation of AICD completions, through identification of the optimum control of water and excess gas production. The value and applicability of the proposed workflow is verified using synthetic and real field case studies. The latter include three oil fields (H-Field, S-Field and U-Field), one thin oil column/gas condensate field (NH-Field) and a gas field (C-Field). These cases also illustrated the value which can be gained from the application of Downhole Flow Control technologies

Nursing Science Development for Nursing Practice: a Philosophical Perspective

Knowledge development , research methodology definitely related to the philosopher's framework, it was very important for a scientific discipline to realize the philosophical orientation that is the basis for the development of theory and advancing science in nursing. Science becomes knowledge with the publication of results, then continue to grow as general knowledge and continued by wrote in text books, this ways would makes history to correct errors, science used physical evidence to answer questions and depends on modern humans to draw conclusions from the evidence, science looks to explain original sources, nature, and physical processes that might be detected in the univers. In practicing nursing science, nurse should stand in professional character as way to compete with others profession with several ways : 1) Legitimate job to  brew great denomination 2) Valid proof in specific practice area 3) Diverse nursing knowledge in practice and theory 4) Control and standard in strong educational arrangement 5) Set up official organization in practice and education 6) Define interpersonal side in part of profession 7) Outrageously expand for ethical code and action   &nbsp

Optimal strategies to control particle size and variance in antisolvent crystallization operations using deep RL

Solution crystallization operations have complex dynamics that are typically lumped into two competing processes namely nucleation and growth. Mathematical models can be used to describe these two processes and their effect on the crystal population when subject to variables like temperature, addition of anti-solvent, etc. To ensure that the crystals meet specific performance objectives, the models need to be solved and the control variables need to be optimized. This has largely been done until now using algorithms from dynamic programming or optimal control theory. Recently, however, it has been shown that learning frameworks like Reinforcement Learning can solve large optimization problems efficiently while offering distinct advantages. In this work, we explore the possibility of computing the optimal profiles of a semi-batch crystallizer to control the mean size and variance using four different deep RL algorithms. The performance on one of the tasks is evaluated experimentally on the anti-solvent crystallization of NaCl in a water-ethanol system

‘Wrighting And Archiving’: Lessons Learned By A Survivor Of Rape By A ‘Holy’ Monk

“It only remained for me to give it voice, to shared it for use, that the pain not be wasted.” (Lorde,1997,p.14) As a Women’s NGO worker and recently a student in the MA program of Women, Gender and Sexuality Studies, I’d like to share the story of Oy, a girl who had been raped by a ‘holy’ monk for many years. The process of finding her own language, standing up and speaking out was not an easy process as there were many layers of unequal power between the girl and the man, an ordinary person and monk. In particular, for the latter, he had performed and was perceived as a ‘holy body’ who not only gave fortune to the villagers but also saved them from bad luck and illness through many different techniques. The girl started her story by writing petitions to the Religion Administrative Unit at both the district and provincial levels. Instead, the monk was protected by his institution. Finally, she brought her case to court along with her archive. My study of her writings and archiving process will be shared and discussed within the framework of feminist writing elaborated by Lorde and Trinh Minh Ha, respectively