The linear programming method is one of the important methods of operations research that has been used to address many practical issues and provided optimal solutions for many institutions and companies, which helped decision makers make ideal decisions through which companies and institutions achieved maximum profit, but these solutions remain ideal and appropriate in If the conditions surrounding the work environment are stable, because any change in the data provided will affect the optimal solution and to avoid (...) losses and achieve maximum profit, we have, in previous research, reformulated the linear models using the concepts of neutrosophic science, the science that takes into account the instability of conditions and fluctuations in the work environment and leaves nothing to chance. While taking data, neutrosophic values carry some indeterminacy, giving a margin of freedom to decision makers. In another research, we reformulated one of the most important methods used to solve linear models, which is the simplex method, using the concepts of this science, and as a continuation of what we did in the previous two researches, we will reformulate in this research. The graphical method for solving linear models using the concepts of neutrosophics. We will also shed light on a case that is rarely mentioned in most operations research references, which is that when the difference between the number of unknowns and the number of constraints is equal to one, two, or three, we can also find the optimal solution graphically for some linear models. This is done by taking advantage of the conditions of non-negativity that linear models have, and we will explain this through an example in which the difference is equal to two. Also, through examples, we will explain the difference between using classical values and neutrosophic values and the extent of this’s impact on the optimal solution. (shrink)

We all know that problems of transportation and allocation appear frequently in practical life. We need to transfer materials from production centers to consumption centers to secure the areas’ need for the transported material or allocate machines or people to do a specific job at the lowest cost, or in the shortest time. We know that the cost factors Time is one of the most important factors that decision-makers care about because it plays an “important” role in many of the (...) practical and scientific issues that we face in our daily lives, and we need careful study to enable us to avoid losses. For this, the linear programming method was used, which is one of the research methods. Processes, where the problem data is converted into a linear mathematical model for which the optimal solution achieves the desired goal. Since these models are linear models, we can solve them using the direct simplex method and its modifications, but the specificity that these models enjoy has enabled scholars and researchers to find special methods that help us in obtaining the optimal solution. Whatever the method used, the goal is to determine the number of units transferred from any material from production centers to consumption centers, or to allocate a machine or person to do a job so that the cost or time is as short as possible. These issues were addressed according to classical logic, but the ideal solution was a specific value appropriate to the conditions in which the data was collected and does not take into account the changes that may occur in the work environment. In order to obtain results that are more accurate and enjoy a margin of freedom, we present in this book a study of transport issues and neutrosophic allocation issues and some methods for solving them. By neutrosophic issues we mean These are the problems in which the data are neutrosophic values, i.e. the required quantities and the available quantities. (shrink)

An important method for finding the optimal solution for linear and nonlinear models is the graphical method, which is used if the linear or nonlinear mathematical model contains one, two, or three variables. The models that contain only two variables are among the most models for which the optimal solution has been obtained graphically, whether these models are linear or non-linear in references and research that are concerned with the science of operations research, when (...) the data of the issue under study is classical data. In this research, we will present a study through, which we present the graphical method for solving Neutrosophical nonlinear models in the following case: A nonlinear programming issue, the objective function is a nonlinear function, and the constraints are linear functions. Note that we can use the same method if (i) the objective function follower is a linear follower and the constraints are nonlinear; (ii) the objective function is a non-linear follower and the constraints are non-linear. In the three cases, the nonlinear models are neutrosophic, and as we know, the mathematical model is a nonlinear model if any of the components of the objective function or the constraints are nonlinear expressions, and the nonlinear expressions may be in both. At the left end of the constraints are neutrosophic values, at least one or all of them. Then, the possible solutions to the neutrosophic nonlinear programming problem are the set of rays that fulfills all the constraints. As for the region of possible solutions, it is the region that contains all the rays that fulfill the constraints. The optimal solution is the beam that fulfills all constraints and at which the function reaches a maximum or minimum value, depending on the nature of the issue under study (noting that it is not necessary to be alone). (shrink)

Science is the basis for managing the affairs of life and human activities, and living without knowledge is a form of wandering and a kind of loss. Using scientific methods helps us understand the foundations of choice, decision-making, and adopting the right solutions when solutions abound and options are numerous. Operational research is considered the best that scientific development has provided because its methods depend on the application of scientific methods in solving complex issues and the optimal use of available (...) resources in various fields, private and governmental work in peace and war, in politics and economics, in planning and implementation, and in various aspects of life. Its basic essence is to use the data provided for the issue under study to build a mathematical model that is the optimal solution. It is the basis on which decision makers rely in managing institutions and companies, and when operations research methods meet with the neutrosophic teacher, we get ideal solutions that take into account all the circumstances and fluctuations that may occur in the work environment over time. One of the most important operations research methods is the linear programming method. Which prompted us to reformulate the linear models, the graphical method, and the simplex method, which are used to obtain the optimal solution for linear models using the concepts of neutrosophic science. In this research, and as a continuation of what we presented previously, we will reformulate the modified simplex algorithm that was presented to address the difficulty that we were facing when applying the direct simplex algorithm. It is the large number of calculations required to be performed in each step of the solution, which requires a lot of time and effort. (shrink)

The science of operations research is one of the modern sciences that have made a great revolution in all areas of life through the methods provided by it, suitable and appropriate to solve most of the problems that were facing researchers, scholars and those interested in the development of societies, and the most beneficiaries of this science were companies and institutions that are looking for scientific methods that help them manage their work so that they achieve the greatest profit and (...) the lowest cost, and one of the important methods that have been used in the management of companies we offer in this research two methods, Dynamic programming method. This method has been used in many practical matters and helped decision-makers in companies to achieve a maximum profit and less cost by formulating the reality of the state of the company and the data provided by decision-makers with a dynamic mathematical model that is solved using methods of solving dynamic models and we will provide in this research an example of this through the issue of choosing the optimal investment for the budget of a company so that it achieves a maximum profit, and the method of programming with integers: the method that provided these companies with solutions with integer values suitable for the nature of its work, through the use of the binary integer in the formulation of the appropriate mathematical model on the one hand, and on the other hand, the use of the binary integer variable helped to convert some nonlinear models that lead to some practical problems into linear models, and it should be noted here that in the previous two methods there is something indeterminable because we must make a decision in choosing or not choosing something, but the optimal solution that we will get remains A specific value because we are building the mathematical model for any realistic issue through the data provided by those responsible for the work and these data are calculated quantities and therefore they are uncertain values because their validity depends on the circumstances surrounding the work environment, they may be exposed to increase or decrease, and therefore the optimal solution on which the company will base its decision is suitable for specific values and any change in them can cause the company an uncalculated loss, so in this research we will use the concepts of neutrosophic science, the branch of science founded by the American scientist Florentin Smarandache in 1995 based on his belief that there is no absolute truth, a science that is interested in the study of ideas and concepts that are neither true nor false, but just in between, and we will take the data (calculated quantities) neutrosophic values that are specified or unspecified values are any set close to the calculated quantities, then the resulting mathematical model is a neutrosophic model and the optimal solution has neutrosophic values and thanks to the indefinite uncertainty that these values have, companies from the development of appropriate plans for all circumstances and thus achieve the greatest profit and the lowest cost, and we will clarify the above through two issues, the issue of optimal designation of a warehouse site, which we will formulate the mathematical model of using the neutrosophic integer programming method - and the issue of capital budget, which we will present in two different forms, we use in the first form the neutrosophic integer programming method and in the second the neutrosophic dynamic programming method. (shrink)

In this paper, Taylor series is used to solve neutrosophic multi-objective programming problem (NMOPP). In the proposed approach, the truth membership, Indeterminacy membership, falsity membership functions associated with each objective of multi-objective programming problems are transformed into a single objective linear programming problem by using a first order Taylor polynomial series. Finally, to illustrate the efficiency of the proposed method, a numerical experiment for supplier selection is given as an application of Taylor series method (...) for solving neutrosophic multi-objective programming problem at end of this paper. (shrink)

This paper describes an AFOSR-supported basic research program that focuses on developing a new framework for combining hard with soft data in order to improve space situational awareness. The goal is to provide, in an automatic and near real-time fashion, a ranking of possible threats to blue assets (assets trying to be protected) from red assets (assets with hostile intentions). The approach is based on Conceptual Spaces models, which combine features from traditional associative and symbolic cognitive models. While Conceptual Spaces (...) are revolutionary, they lack an underlying mathematical framework. Several such frameworks have attempted to represent Conceptual Spaces, but by far the most robust is the model developed by Holender. His model utilizes integer linear programming in order to obtain an overall similarity value between observations and concepts that support the formation of hypotheses. This paper will describe a method for building Conceptual Spaces models for threats that utilizes ontologies as a means to provide a clear semantic foundation for this inferencing process; in particular threat ontologies and space domain ontologies are developed and employed in this approach. A space situational awareness use-case is presented involving a kinetic kill scenario and results are shown to assess the performance of this fusion-based inferencing framework. (shrink)

Objective: Changing contour lines of the external nose following traumatic, aesthetic and tumour surgeries have become very trendy. The goal of this research is to study the several soft tissue landmarks, measurements (linear distances, ratios, angles) of the external nose and its nasal indicis using a computer program. Methods: Face region were taken a photographs of the two hundred adults. Analyses of linear (the lengths of nares, nasal bridge, and columella and nose height, nares width) and angular analyses (...) (angles of nasofrontal, nasolabial and nasal tip) were computed and averaged for gender with age. As for the shape of the nose, it was categorized as subunits: nasal tip (sharp, normal, wide, protrusive and asymmetric), nasal base (normal, wide, asymmetric) nasal alae (normal, thick, thin, asymmetric), nares (normal, horizontal and asymmetric) and columella (normal, wide, short and bifid) nasal base, nares, nasal alae, columella and classified subunit as normal, protrusive, sharp, asymmetric, and wide. Results: The nose height have to 49.05 ± 3.48 mm in young male adults, 50.37 ± 2.33 mm in young female adults. Distance lengthwise the nasal bridge have to 48.60 ± 3.24 in males, 37.09 ± 5.49 females. The two mean measured nasal lengths were significantly greater in men. At the same time, angular measurements for nasolabial and interalar were higher in males. Nasal tip angle was 127.47 ± 82.9° in males, 75.8° in females. On average, young male adults had larger nasal linear distances such as nasal bridge length, nares lengths and nares widths relation of height than young female adults (p;<0.01); No gender differences were observed for columella widths and to nose height ratio (p;<0.01). The nasofrontal, nasal tip, nasolabial and interalar angles showed statistically significant differences among young male adults and young female adults (p;<0.05). The nasolabial angle exhibited considerable variability. The shape details of nares was showed large variability. Nasal base, nasal tip and nasal alae shapes were similar, nares asymmetry was more frequently compared with other features. Conclusions: The Anatolian people’s nose exhibits wide nasal tip, has a wider nasal base, and is more thicker at the alae, with wider definition of the columella. The significant gender differences of nasal shapes were found. The wide and sharp features of nasal tip were related to an important features in men, whereas asymmetric nares were dominant in young female adults. Using digitized reference details, this study helped define the best cosmetic surgery recreate the nose and increase the success of customized therapy. Also, our findings facial alteratios, facial reconstruction, personal identification, Trauma assessments may also have data banks based on age and gender. (shrink)

The overall goal of the approach developed in this paper is to estimate the likelihood of a given kinetic kill scenario between hostile spacebased adversaries using the mathematical framework of Complex Conceptual Spaces Single Observation. Conceptual spaces are a cognitive model that provide a method for systematically and automatically mimicking human decision making. For accurate decisions to be made, the fusion of both hard and soft data into a single decision framework is required. This presents several challenges to this (...) data fusion framework. The first is the challenge involved in handling multiple complex terminologies, which is addressed by drawing on a set of Space Domain Ontologies. Another challenge is the complex combinatorics involved when considering all possible feature combinations. This can be mitigated by using integer linear programming optimization that is outlined by the Complex Conceptual Spaces Single Observation mathematical model framework. A third challenge is the complicated physics that is involved in a spacecraft collision that must be addressed to obtain a better understanding of threat assessment. Overcoming these various challenges allows for a quantitative ranking for the potential of a kinetic kill collision across multiple spacecraft pairs. In addition to overcoming these challenges this paper will break down threat assessment into four domains and identify a ranking of threat both for each individual domain and for the four domains combined. Simulation results are shown to verify the developed concepts. (shrink)

Numerous problems arising in engineering applications can have several objectives to be satisfied. An important class of problems of this kind is lexicographic multi-objective problems where the first objective is incomparably more important than the second one which, in its turn, is incomparably more important than the third one, etc. In this paper, Lexicographic Multi-Objective Linear Programming (LMOLP) problems are considered. To tackle them, traditional approaches either require solution of a series of linear programming problems or (...) apply a scalarization of weighted multiple objectives into a single-objective function. The latter approach requires finding a set of weights that guarantees the equivalence of the original problem and the single-objective one and the search of correct weights can be very time consuming. In this work a new approach for solving LMOLP problems using a recently introduced computational methodology allowing one to work numerically with infinities and infinitesimals is proposed. It is shown that a smart application of infinitesimal weights allows one to construct a single-objective problem avoiding the necessity to determine finite weights. The equivalence between the original multi-objective problem and the new single-objective one is proved. A simplex-based algorithm working with finite and infinitesimal numbers is proposed, implemented, and discussed. Results of some numerical experiments are provided. (shrink)

Although the cognition is significant in strategic reasoning, its role has been weakly analyzed, because only the average intelligence is usually considered. For example, prisoner's dilemma in game theory, would have different outcomes for persons with different intelligence. I show how various levels of intelligence influence the quality of reasoning, decision, or the probability of psychosis. I explain my original methodology developed for my MA thesis in clinical psychology in 1998, and grant research in 1999, demonstrating the bias of the (...) classic IQ method, and how the intelligence limits thinking. Based on that I defined Personality Model, providing insight into understanding of psychosis (schizophrenia, bi-polar), which has not been explained yet by psychology or psychiatry. In addition, it enables to analyze and assess non-linear problems, utilizable in computer programming, visualization (animation) or other fields including Baduk game. I've already applied some principles in complex information system www.each.co.uk, and video-animations exhibited in London, Germany, Tokyo. I need to mention my experience in chess composition between 1994 and 2000, winning a few international prizes and inventing a special class of fairy rules redefining the mate. The chess composition principles or patterns show the way to organize logical series to higher advanced mechanisms (like calculus), applicable to other fields. One of such principles is a logical aesthetic innovation: new strategy, defined by Italian composers. Finally I show how the simple redefinition of the classic utility concept links economics and psychology to explain irrational / destructive behavior. All presented results (from the research) can be repeated. (shrink)

In the light of the results obtained during the last two decades in analysis of signals by time series, it has become evident that the tools of non linear dynamics have their elective role of application in biological, and, in particular, in neuro-physiological and psycho-physiological studies. The basic concept in non linear analysis of experimental time series is that one of recurrence whose conceptual counterpart is represented from variedness and variability that are the foundations of complexity in dynamic (...) processes. Thus, the recurrence plots and the Recurrence Quantification Analysis (RQA) are discussed. It is shown that RQA represents the most general and correct methodology in investigation of experimental time series. By it we arrive to inspect the inner structure of the time series connected to the signals under investigation. Linked to RQA we prospect also the method CZF, recently introduced by us. It is able to account for a true estimation of variability of signals in time as well as in frequency domain. And, consequently, it may be used in conjunction with classical Fourier analysis, accounting however that it is inappropriate in analysis of non linear and non stationary experimental time series. The use of CZF method in fractal analysis is also considered in addition to standard index as Hurst exponent. A large field of possible applications in neurological as well as in psycho-physiological studies is given. Also, there are given examples of other and (possibly linked) applications as example the analysis of beat-to-beat fluctuations of human heartbeat intervals that is sovereign in psycho-physiological studies. We give applications on some different planes to evidence the particular sensitivity of such methods. We reach the objective to show that the previously exposed methods are also able to predict in advance the advent of ventricular tachycardia and/or of ventricular fibrillation. The RQA analysis gives good results. The CZF method gives the most excellent results showing that it is able to give very significant indexes of prediction. We also apply such methods in investigation of state anxiety, and proposing in detail a quantum like model of such phenomenological status of the mind. (shrink)

Temporal epistemic logics are known, from results of Halpern and Vardi, to have a wide range of complexities of the satisfiability problem: from PSPACE, through non-elementary, to highly undecidable. These complexities depend on the choice of some key parameters specifying, inter alia, possible interactions between time and knowledge, such as synchrony and agents' abilities for learning and recall. In this work we develop practically implementable tableau-based decision procedures for deciding satisfiability in single-agent synchronous temporal-epistemic logics with interactions between time and (...) knowledge. We discuss some complications that occur, even in the single-agent case, when interactions between time and knowledge are assumed and show how the method of incremental tableaux can be adapted to work in EXPSPACE, respectively 2EXPTIME, for these logics, thereby also matching the upper bounds obtained for them by Halpern and Vardi. (shrink)

One of the most important theories in linear programming is the dualistic theory and its basic idea is that for every linear model has dual linear model, so that solving the original linear model gives a solution to the dual model. Therefore, when we solving the linear programming model, we actually obtain solutions for two linear models. In this research, we present a study of the models. The neutrosophic dual and the binary (...) simplex algorithm, which works to find the optimal solution for the original and dual models at the same time. The importance of this algorithm is evident in that it is relied upon in several operations research topics, such as integer programming algorithms, some nonlinear programming algorithms, and sensitivity analysis in linear programming. (shrink)

Background: The school meals program has multiple objectives of education, nutrition, and value transfer. To ensure achieving the goal, total quality management (TQM) is implemented in the school meals program. Supply chain issues pose significant challenges to TQM implementation in the program execution. Aim: This study aims to examine national and international capacities in supply chain management by analyzing the variety of food items delivered through the school meals program. Methods: The Bayesian Mindsponge Framework, combining the reasoning strengths of Mindsponge (...) Theory and inference advantages of Bayesian analysis, was employed on a dataset of 126 government representatives who manage large-scale school meal programs in 126 different countries. Results: Findings showed that the method of obtaining supplies, whether through in-kind donations from local, regional, national sources, or national food reserves and purchasing from neighboring or distant countries, had a significant positive association with the variety of food items included in school meals or snacks. Conversely, obtaining supplies in-kind from neighboring or distant countries had a significant negative association with the food variety. Additionally, purchasing supplies from local, regional, or national food reserves had an unclear association with the food variety. Conclusions: Findings underscore the importance of supporting the World Bank and World Food Programme’s recommendation to rely more on local resources and capacities. Enhancing supply chain management at the national level is crucial for developing a long-term and sustainable school meals program. (shrink)

Background: The feeding modalities applied in countries with school meal programs are varied because these are shaped not only by the national commitments to alleviate food insecurity among children but also by resource availability from national and international agencies. In terms of financial resources, the USA plays a consistent role in providing donations, grants, loans, and loan guarantee programs to support global school feeding. The U.S. Department of Agriculture (USDA) oversees these funding sources for international school meal programs. Aim: This (...) study aims to examine the moderating effect of USDA funding on the relationship between supply purchasing methods and feeding modalities among countries implementing school meal programs. Methods: The Bayesian Mindsponge Framework, combining the reasoning strengths of Mindsponge Theory and inference advantages of Bayesian analysis, was employed on a dataset of 126 government representatives who manage large-scale school meal programs in 126 different countries. Results: The findings indicated that USDA funding has the potential to positively moderate the relationship between foreign supply purchases and the feeding modalities of school meal programs. However, the direct association between foreign purchases and feeding modalities was unclear. Conversely, while USDA funding was found to have a negative moderation effect on the relationship between domestic supply purchases and feeding modalities, it is these domestic purchases that show potential for positively influencing the feeding modalities. Conclusions: Findings underscore the importance of supporting the World Bank and World Food Programme’s recommendation to rely more on local resources and capacities for developing long-term and sustainable school meal programs. Further exploration of the impact of foreign supply purchases on feeding modalities is needed. Formulating strategic plans to better leverage USDA funding for enhancing domestic supply purchases is highly recommended. (shrink)

Background: Food fortification refers to the process of adding nutrients to foods during their production. It is a cost-effective strategy with well-documented health, economic, and social benefits. Food fortification practices in school meal programs need guidance and legal support from various national policies. Aim: This study aims to analyze how various national policies—such as those related to school feeding, nutrition, health, food safety, agriculture, and the private sector—associate with the implementation of in-school food fortification among countries with school meals programs. (...) Methods: The Bayesian Mindsponge Framework, combining the reasoning strengths of Mindsponge Theory and inference advantages of Bayesian analysis, was employed on a dataset of 126 government representatives who manage large-scale school meal programs in 126 different countries. Results: Findings showed that food safety policy and agriculture policy were positively and significantly associated with the in-school food fortification practices, while school feeding policy and private sector policy had ambiguous relationships with these practices. Nutrition policy and health policy had a significant negative association with food fortification practices among countries implementing school meal programs. Conclusions: Findings underscore the strong position of food safety policy and agriculture policy in guiding food fortification practices in school meal programs. There is a need to re-assess the implemented nutrition policy and health policy due to their significant negative associations with these practices. Enhancing and strengthening the school feeding policy and private sector policy may increase their potencies in giving positive impacts on in-school food fortification practices. (shrink)

Background: Food biofortification practices in agricultural sectors involve the process of employing biotechnology to enhance the nutritional content of crops during their growth process. Biofortification makes foods even more nutritious and highly functional for addressing malnutrition among children. These practices in farming industries need guidance and legal support from various national policies to support high-quality supplies of school meals fully. Aim: This study aims to analyze the association between various national policies and the implementation of food biofortification practices in agricultural (...) sectors among countries implementing school meal programs. Methods: The Bayesian Mindsponge Framework, combining the reasoning strengths of Mindsponge Theory and inference advantages of Bayesian analysis, was employed on a dataset of 126 government representatives who manage large-scale school meal programs in 126 different countries. Results: Findings showed that food safety policy was positively associated with food biofortification practices in agricultural sectors among countries implementing school meal programs. In contrast, nutrition policy had a significant negative association with these practices. Additionally, policies of school feeding, health, agriculture, and the private sector had unclear associations with food biofortification. Conclusions: Findings underscore the strong position of food safety policy in guiding food biofortification practices in agricultural sectors among countries implementing school meal programs. There is a need to re-assess the implemented nutrition policy due to its significant negative association with these practices. Enhancing and strengthening the policies of school feeding, health, agriculture, and the private sector may increase their potencies in giving positive impacts on food biofortification practices in agricultural sectors to ensure high-quality school meal supplies. (shrink)

The classical theory of computation does not represent an adequate model of reality for simulation in the social sciences. The aim of this paper is to construct a methodological perspective that is able to conciliate the formal and empirical logic of program verification in computer science, with the interpretative and multiparadigmatic logic of the social sciences. We attempt to evaluate whether social simulation implies an additional perspective about the way one can understand the concepts of program and computation. We demonstrate (...) that the logic of social simulation implies at least two distinct types of program verifications that reflect an epistemological distinction in the kind of knowledge one can have about programs. Computer programs seem to possess a causal capability (Fetzer, 1999) and an intentional capability that scientific theories seem not to possess. This distinction is associated with two types of program verification, which we call empirical and intentional verification. We demonstrate, by this means, that computational phenomena are also intentional phenomena, and that such is particularly manifest in agent-based social simulation. Ascertaining the credibility of results in social simulation requires a focus on the identification of a new category of knowledge we can have about computer programs. This knowledge should be considered an outcome of an experimental exercise, albeit not empirical, acquired within a context of limited consensus. The perspective of intentional computation seems to be the only one possible to reflect the multiparadigmatic character of social science in terms of agent-based computational social science. We contribute, additionally, to the clarification of several questions that are found in the methodological perspectives of the discipline, such as the computational nature, the logic of program scalability, and the multiparadigmatic character of agent-based simulation in the social sciences. (shrink)

India dropped its target of 500 GW of renewable energy capacity fossil fuel sources by 2030. Its responsibilities the United Nations Framework Convention Climate Change [UNFCCC],and reducing radiations by one billion tonnes by the end of the decade at the COP26 conference, held in Glasgow in November 2022. Researchers are continually searching for inexhaustible and reasonable energy sources. Solar energy is one of the greenest sources of energy and is also one of the cleanest. The most important factor in using (...) solar energy is the location of the solar power plant. The main objective of this study is to find the best location for a new solar power plant in a specific region called Bundelkhand region of Uttar Pradesh in India. Here we offer an extension of ELECTRE III method as two-phase Pythagorean neutrosophic elimination and choice translating reality PN-ELECTRE-III) method to adapt with fuzzy, ambiguous, unsure, and indeterminate criteria. The Pythagorean neutrosophic numbers [PNNs] used by the group decision support system of PN-ELECTRE III to measure performance of the alternatives. The options are entirely outclassed in the subsequent stage in view of the past stage's evaluations of them. By defining PNN we describe the technique of indifference threshold functions, preference treshold and veto threshold functions, which provide a more stable basis to drop outranking relations. By calculating the concordance credibility, discordance credibility and net credibility degrees of each alternative, the ranking module of the PN-ELECTRE III approach is made simpler. In order to confirm the applicability of the strategy suggested in this paper, the location selection problem for solar plants is finaly solved. (shrink)

Background: Food insecurity condition challenges the availability of food, access to food, food supply stability, and food utilization. Food banks play a major role in the food aid sector by distributing donated and purchased groceries directly to food-insecure families, thus significantly impacting food insecurity. On the other hand, school meal programs are implemented in many countries to combat food insecurity among school-aged children. The synergy between school meal programs and food banks has a great potency to combat food insecurity among (...) children effectively. Aim: This study aims to examine the association between experts’ involvement—such as nutritionists, farmers, and private sectors—and community engagement, including parents and others, with the linkage between food banks and school meal programs among implementing countries. Methods: The Bayesian Mindsponge Framework, combining the reasoning strengths of Mindsponge Theory and inference advantages of Bayesian analysis, was employed on a dataset of 126 government representatives who manage large-scale school meal programs in 126 different countries. Results: Findings showed that the involvement of nutritionists and the private sector was positively associated with the linkage between food banks and school meal programs, while farmers’ involvement showed an ambiguous association. The engagement of parents and others also showed an ambiguous relationship with this linkage. Conclusions: Findings underscore the strong need to formulate strategies for increasing the involvement of nutritionists and the private sector to successfully link the food banks with school meal programs in implementing countries, which is crucial for effectively combating food insecurity among school-aged children. (shrink)

In this paper, a complex non- linear programming problem with the two parts (real and imaginary) is considered. The efficient and proper efficient solutions in terms of optimal solutions of related appropriate scalar optimization problems are characterized. Also, the Kuhn-Tuckers' conditions for efficiency and proper efficiency are derived. This paper is divided into two independently parts: The first provides the relationships between the optimal solutions of a complex single-objective optimization problem and solutions of two related real programming (...) problems. The second part is concerned with the theory of a multi-objective optimization in complex space. (shrink)

Background: School meal programs are not only government initiatives but also community-driven efforts. Aiming to combat food insecurity among school-aged children effectively, these programs are executed in conjunction with food bank initiatives. Various community groups play a crucial role in the success of both food security initiatives. There is a need to improve community engagement to successfully link school meal programs with food banks to build program synergy, combating food insecurity through a two-sided approach. Aim: This study aims to examine (...) community engagement in school meals program by analyzing its purposeful focus on creating jobs and income-generating opportunities for different community groups, i.e., youths, women, and others. Methods: The Bayesian Mindsponge Framework, combining the reasoning strengths of Mindsponge theory and inference advantages of Bayesian analysis, was employed on a dataset of 126 government representatives who manage large-scale school meal programs in 126 different countries. Results: Findings showed that the school meals program’s purposeful focus on creating jobs and income-generating opportunities for women in the community was positively associated with community engagement, thereby supporting the linkage between the programs and food banks. In contrast, providing jobs and income-generating opportunities for youths and other community groups had an ambiguous association with community engagement in school meal programs. Conclusions: Findings underscore the importance of creating jobs and income-generating opportunities for women to improve community engagement in school meal programs. Formulating strategies that empower woman’s entrepreneurship may foster their involvement and engagement in school meal programs, promising to successfully link these programs with food bank initiatives among implementing countries. (shrink)

We present a technique for the analysis of pattern formation by a class of models for the formation of ocular dominance stripes in the striate cortex of some mammals. The method, which employs the adiabatic approximation to derive a set of ordinary differential equations for patterning modes, has been successfully applied to reaction-diffusion models for striped patterns [1]. Models of ocular dominance stripes have been studied [2,3] by computation, or by linearization of the model equations. These techniques do not (...) provide a rationale for the origin of the stripes. We show here that stripe formation is a non-linear property of the models. Our analysis indicates that stripe selection is closely linked to a property in the dynamics of the models which arises from a symmetry between ipsilateral and contralateral synapses to the visual cortex of a given hemisphere. (shrink)

Background: The feeding modalities used in school meal programs—such as breakfast, lunch, dinner, snacks, and take-home rations—are influenced by various factors, including supply chain constraints and technical challenges in food distribution. The methods of supply sourcing, whether through domestic or foreign food reserves via in-kind donations or purchases, play a critical role in shaping the feeding options provided. Aim: This study aims to examine the association between supply-sourcing strategies, i.e., domestic and foreign in-kind donations and national-international purchases, with the feeding (...) modalities applied in school meal programs. Methods: The Bayesian Mindsponge Framework, combining the reasoning strengths of Mindsponge Theory and inference advantages of Bayesian analysis, was employed on a dataset of government representatives who manage large-scale school meal programs across 126 countries. Results: The findings revealed that sourcing supplies through in-kind donations from neighboring or distant countries showed a highly reliable negative association with the feeding modalities of school meal programs, while those from the national bodies showed an ambiguous relationship. The purchasing methods—whether domestic or foreign—tended to exhibit positive associations with feeding modalities, though these associations were only weakly reliable. Conclusions: The findings reveal substantial rooms to improve the effectiveness of supply purchasing strategies in enhancing school meal program feeding modalities. Further research is needed to examine the impact of sourcing supplies through domestic in-kind donations on feeding outcomes. Additionally, developing strategic plans to optimize the use of in-kind donations from international organizations is strongly recommended to avoid its negative consequences and further enhance program effectiveness. (shrink)

As the philosophy of policing shifts from a traditional to a community-based approach, its implementation needs to be assessed. The study determined the program implementation of community-oriented policing in the town of Dumingag Zamboanga del Sur and its effectiveness in crime reduction from 2014 to 2018. The study employed a descriptive-survey method with the questionnaire-checklist as the main instrument used in gathering the data and information. The survey questionnaire underwent an evaluation process by field expert and tested using Cronbach’s (...) alpha. Weighted Arithmetic Mean, Percentage and ANOVA were the statistical tools used in the data analyses. The participants were PNP, residents, and Barangay Officials of Dumingag, Zamboanga del Sur. The results showed that PNP and Barangay officials perceived that the extent of community- oriented policing in Dumingag was implemented without lapses. However, residents rated that the implementation has minimal lapses. The study also revealed that there was a reduction of crimes committed for the past five years of the implementation. The result shows a significant difference among the perceived extent of implementation of the three groups of respondents. (shrink)

Abstract: The development of technology pushes human to increase productivity by changing manual system to automatic system. Modernization affect almost all aspect especially in art. Batik is a ancestor legacy of indonesian people that recogized by UNESCO as culture legacy of Indonesia yet batik industries are not develop as much. Modernization in batik art is expected to optimize its productivity. This research design algorithm and the program in MATLAB that used for controlling movement protype of batik maker 2 dof cartesian (...) robot. The input data is a picture that will be processed to obtain the order of coordinate edge. Then it procesed and sent to plantby using MATLAB based on Graphical User Interface (GUI). The 2 dof Cartesian robot and a pen (end effector) is used to draw a pattern. A servo motor is installed to activate end effector and two stepper motor coupled with thread mechanic that used to move it towards the X and Y axis. Testing is done by sending coordinat orders to the plant or by observing drawing process order. Obtained error from program and algorithm testing is 2,32% . (shrink)

The Simulation Hypothesis proposes that all of reality is in fact an artificial simulation, analogous to a computer simulation. Outlined here is a method for programming relativistic mass, space and time at the Planck level as applicable for use in Planck Universe-as-a-Simulation Hypothesis. For the virtual universe the model uses a 4-axis hyper-sphere that expands in incremental steps (the simulation clock-rate). Virtual particles that oscillate between an electric wave-state and a mass point-state are mapped within this hyper-sphere, the (...) oscillation driven by this expansion. Particles are assigned an N-S axis which determines the direction in which they are pulled along by the expansion, thus an independent particle motion may be dispensed with. Only in the mass point-state do particles have fixed hyper-sphere co-ordinates. The rate of expansion translates to the speed of light and so in terms of the hyper-sphere co-ordinates all particles (and objects) travel at the speed of light, time (as the clock-rate) and velocity (as the rate of expansion) are therefore constant, however photons, as the means of information exchange, are restricted to lateral movement across the hyper-sphere thus giving the appearance of a 3-D space. Lorentz formulas are used to translate between this 3-D space and the hyper-sphere co-ordinates, relativity resembling the mathematics of perspective. (shrink)

The supervision of teachers is essential for ensuring effective teaching methods, ongoing professional growth, and student success. This study explored the experiences of program heads in supervising teachers. It was conducted in a local college in Tangub City, Misamis Occidental. The phenomenological design was used in the study. Eleven program heads served as the participants selected through the purposive sampling technique. The Interview Guide was used as the research instrument. Moustakas' transcendental phenomenology of data analysis was utilized to analyze the (...) data gathered. Results revealed the following main themes: the critical role of supervision in advancing teacher development and educational excellence, mutual learning and growth, the role of program heads in teacher supervision, overcoming challenges in teacher supervision, and effective communication strategies. Supervision improves teaching and learning quality, which supports professional development. The complex nature of supervisory roles requires adaptive strategies and strong support networks. It is recommended for program heads and teachers to establish open communication to help address the challenges encountered during supervision. (shrink)

The epistemology and phenomenology of contemporary society tend to be deepened, and the philosophical challenges never are minimal that we may be called to face with the kind of post-modern chaos from the rapidly changing phenomena of the global community. The ballast held on the identity of faculty members as a teacher and researcher now turns due so as to be recast with our intrinsic of routine performance. I considered their quality as bent on the intellectual strife on the (...) class='Hi'>method and the kind of attitude, say, evaluation and consultation. In this paper, the authors have presented some thought and implications that triangulated the triad, i.e., research methodology, program evaluation and consulting illustration on the college research program rankings. The author is hoped that the discourse can help the academicians to share the attribute of different methods as well as the dimension of evaluation and consulting, perhaps essentially related with their work role in terms of teaching and researching. Keywords: Research Method, Qualitative Studies, Mixed Method, Program Evaluation, Theory and Philosophy, Program Rankings, Consulting, Journal Writing. (shrink)

Istoria macabră a programelor anticomuniste de exterminare din ţările care nu făceau parte din sfera de influenţă sovietică este astăzi un subiect prea puţin confortabil pentru liderii şi savanţii „lumii libere”. „Studierea crimelor comunismului”, dimpotrivă. Prezentarea istoriei secolului 20 într‑o manieră maniheistă şi parţială este mult mai profitabilă. Un lucru e cert: indiferent ce dorim sau refuzăm să ştim despre istoriile deprimante ale succesului geopolitic american, cu certitudine amintirea lor nu se va şterge prea curând în comunităţile din Argentina, Bolivia, (...) Brazilia, Chile, Columbia, Timorul de Est, El Salvador, Guatemala, Honduras, Indonezia, Iraq, Mexic, Nicaragua, Paraguay, Filipine, Coreea de Sud, Sudan, Taiwan, Thailanda, Uruguay, Venezuela sau Vietnam. (shrink)

The art of Simon Finn has always had a markedly temporal dynamic. Vast structures built and annihilated again and again across different media, their fragmentation across space and time simultaneously methodical and darkly chaotic. Roiling waters and eldritch surfaces held captive in their unrest. Finn’s works render cycles of construction and disintegration, of stasis and motion, in ways that shed light upon the underlying structures of our experience of time while shattering simplistic notions of linearity. This is nowhere more apparent (...) than in Instability, through which Finn allows us to explore the intertwining of personal and historical time, ancestral memory and radical futurity, artefactual form and temporal function. (shrink)

I analyze the role of infinite idealizations used in the renormalization group (RG hereafter) method in explaining universality across microscopically different physical systems in critical phenomena. I argue that despite the reference to infinite limit systems such as systems with infinite correlation lengths during the RG process, the key to explaining universality in critical phenomena need not involve infinite limit systems. I develop my argument by introducing what I regard as the explanatorily relevant property in RG explanations: linearization* property; (...) I then motivate and prove a proposition about the linearization* property in support of my view. As a result, infinite limit systems in RG explanations are dispensable. (shrink)

Benchmarking automated theorem proving (ATP) systems using standardized problem sets is a well-established method for measuring their performance. However, the availability of such libraries for non-classical logics is very limited. In this work we propose a library for benchmarking Girard's (propositional) intuitionistic linear logic. For a quick bootstrapping of the collection of problems, and for discussing the selection of relevant problems and understanding their meaning as linear logic theorems, we use translations of the collection of Kleene's intuitionistic (...) theorems in the traditional monograph "Introduction to Metamathematics". We analyze four different translations of intuitionistic logic into linear logic and compare their proofs using a linear logic based prover with focusing. In order to enhance the set of problems in our library, we apply the three provability-preserving translations to the propositional benchmarks in the ILTP Library. Finally, we generate a comprehensive set of reachability problems for Petri nets and encode such problems as linear logic sequents, thus enlarging our collection of problems. (shrink)

Trans theory is characterized in part by the apparent tension between discursive analyses of cisgender society and phenomenological descriptions of trans experiences. While traditional inquiry into the history of philosophy proposes an interminable opposition between phenomenology and discourse analysis, Rubin’s alternative suggestion is that within the domain of trans studies that they fulfill complimentary dimensions of investigation. Discourse analysis and phenomenology converge in trans studies because they are submitted to the same ethical and political imperative: the systematic development of the (...) trans archive. Both discourse analysis and phenomenology as methods in trans studies are directed toward the development of a genuinely trans history, perspective, and theory, with special methodological consideration toward the way that this perspective is misunderstood or obscured by dominant frameworks within cisgender society. In what follows, I provide a brief reconstruction of two major interventions in trans phenomenology, demonstrating that each is carefully concerned with distinctly archival considerations, but I further argue that each project remains incomplete because of an incomplete bracketing of medicalized cisgender concepts. I then propose a brief alternative program aimed at the full suspension of cisgender categories that I call transgender existentialism. (shrink)

This study aims to examine the moderating effect of USDA funding on the relationship between purchasing methods and feeding modalities in countries implementing school meal programs. The findings may highlight the importance of USDA funding for countries with limited external resources, thereby enhancing their purchasing power for food supplies.

In this chapter, I defend the program of conceptual analysis, broadly construed, and the method of thought experiments in epistemology, as a first-person enterprise, that is, as one which draws on the investigator's own competence in the relevant concepts. I do not suggest that epistemology is limited to conceptual analysis, that it does not have important a posteriori elements, that it should not draw on empirical work wherever relevant (and non-question begging), or that it is not a communal enterprise. (...) Although discussion in the space available will necessarily be brief, and many points must be elided altogether, I aim to sketch salient features of the landscape, clarify issues, set aside some confusions, and outline responses to some recent challenges. In §2, I sketch a traditional account of concepts and conceptual truths. In §3, I review a broad conception of analysis as encompassing not just reduction but also articulation of conceptual connections. In §4, I address the charge that in studying epistemic concepts we turn away from our proper target of study, the actual phenomena of knowledge, justification, and so on. In §5, I give a brief overview of the method of thought experiments. In §6, I address objections to thought experiments that have their source in "experimental philosophy." In §7, I address the charge that pursuing conceptual analysis in epistemology is misplaced because 'knowledge', 'justification', 'evidence' and so on, are natural kind terms, and hence that we must engage in empirical research to discover the real essences of the kinds they pick out (if any). (shrink)

There is a critical need to understand the effect of changing assessment methods on demonstrated competencies in teacher education. This study examined how the transition from online to in-person testing affects the measured teaching competencies of students who completed a Competency-Based Enhancement (CBE) program, aiming to identify factors contributing to performance differences and strategies for adaptation. Using a one-group pre-test-post-test design, the study involved 669 graduating teacher education students at Pangasinan State University. Participants completed online pre-tests and in-person post-tests, with (...) data analyzed through paired samples t-tests, multiple regression, and ANCOVA. Findings revealed a significant decline in post-test scores despite CBE participation, suggesting a substantial effect of the testing modality change. The change in the testing environment emerged as the most significant predictor of score differences, while student engagement levels were positively associated with minor score decreases. These results underscore the need for adaptive assessment strategies in competency-based education programs. While limited to a single institution, this study recommends implementing a scaffolded approach to assessment transitions and enhancing student support services to mitigate adverse effects on performance across different testing modalities. (shrink)

The Simulation Hypothesis proposes that all of reality, including the earth and the universe, is in fact an artificial simulation, analogous to a computer simulation, and as such our reality is an illusion. In this essay I describe a method for programming mass, length, time and charge (MLTA) as geometrical objects derived from the formula for a virtual electron; $f_e = 4\pi^2r^3$ ($r = 2^6 3 \pi^2 \alpha \Omega^5$) where the fine structure constant $\alpha$ = 137.03599... and $\Omega$ (...) = 2.00713494... are mathematical constants and the MLTA geometries are; M = (1), T = ($2\pi$), L = ($2\pi^2\Omega^2$), A = ($4\pi \Omega)^3/\alpha$. As objects they are independent of any set of units and also of any numbering system, terrestrial or alien. As the geometries are interrelated according to $f_e$, we can replace designations such as ($kg, m, s, A$) with a rule set; mass = $u^{15}$, length = $u^{-13}$, time = $u^{-30}$, ampere = $u^{3}$. The formula $f_e$ is unit-less ($u^0$) and combines these geometries in the following ratio M$^9$T$^{11}$/L$^{15}$ and (AL)$^3$/T, as such these ratio are unit-less. To translate MLTA to their respective SI Planck units requires an additional 2 unit-dependent scalars. We may thereby derive the CODATA 2014 physical constants via the 2 (fixed) mathematical constants ($\alpha, \Omega$), 2 dimensioned scalars and the rule set $u$. As all constants can be defined geometrically, the least precise constants ($G, h, e, m_e, k_B$...) can also be solved via the most precise ($c, \mu_0, R_\infty, \alpha$), numerical precision then limited by the precision of the fine structure constant $\alpha$. (shrink)

The engineering knowledge research program is part of the larger effort to articulate a philosophy of engineering and an engineering worldview. Engineering knowledge requires a more comprehensive conceptual framework than scientific knowledge. Engineering is not ‘merely’ applied science. Kuhn and Popper established the limits of scientific knowledge. In parallel, the embrace of complementarity and uncertainty in the new physics undermined the scientific concept of observer-independent knowledge. The paradigm shift from the scientific framework to the broader participant engineering framework entails a (...) problem shift. The detached scientific spectator seeks the ‘facts’ of ‘objective’ reality – out there. The participant, embodied in reality, seeks ‘methods’, about how to work in the world. The engineering knowledge research program is recursively enabling. Advances in engineering knowledge are involved in the unfolding of the nature of reality. Newly understood, quantum uncertainty entails that the participant is a natural inquirer. ‘Practical reason’ is concerned with ‘how we should live’– the defining question of morality. The engineering knowledge research program is selective seeking ‘important truths’, ‘important knowledge’, ‘important methods’ that manifest value, and serve the engineering agenda of ‘the construction of the good.’ The importance of engineering knowledge research program is clear in the new STEM curriculum where educators have been challenged to rethink the relation between science and engineering. A 2015 higher education initiative to integrate engineering colleges into liberal arts and sciences colleges has stalled due to the confusion and conflict between the engineering and scientific representations of knowledge. (shrink)

This paper philosophically explores the possible introduction of an alternative analytical approach to European integration. It is an invitation to reflect critically outside the mainstream paradigm. An extensive amount of scientific literature and research papers focuses on the EU, but it is quite easy to get lost amidst this stream of abundant writing. Meanwhile, the EU has been experiencing serious challenges since the previous enlargement, which has led to a broader definition of the “European project.” Numerous discussions have failed to (...) deliver the expected results. It is an interesting paradox that the EU has been proposed globally as a model of peacebuilding in the context of the Nobel Peace Prize 2012. However, since then, no clearly defined model of internal EU integration has been implemented apart from some basic premises. The Monnet method has become formalized within the official framework of the EU, thus justifying top-down institutional engineering, which is contrary to the concept proposed by Jean Monnet. The paper offers a metaphorical reasoning as an intellectual counterbalance to the unreflective application of integrational models, thus enriching analytical and critical discourse. (shrink)

The Sangguniang Kabataan is an essential part of the government to develop the youth in the society and to encourage a meaningful youth participation in different sectors in the community. This study assesses the Sangguniang Kabataan performance in Cuenca, Batangas as it encapsulates the strength and weaknesses of the programs together with the needs, comments, and suggestions of the youth as guided by the National Youth Commission’s Nine Centers of Meaningful Youth Participation in line with some selected United Nations Sustainable (...) Developmental Goals through a mixed-method study. The study uses the responses of 250 youth participants from 20 barangays which revealed that their assessments put the programs, projects, and activities of the Sangguniang Kabataan on the lower threshold of the verbal interpretation “Agree” while the qualitative side of the survey revealed the priority needs of the youth. The study suggested a thematic development plan to be used as a framework for the next proposal of the SK officials, namely: Assistance, Developmental, and Social Transformation programs, projects, and activities. (shrink)

A rigorous approach to the study of the mind–body problem is suggested. Since humans are able to talk about consciousness (produce phenomenal judgments), it is argued that the study of neural mechanisms of phenomenal judgments can solve the hard problem of consciousness. Particular methods are suggested for: (1) verification and falsification of materialism; (2) verification and falsification of interactionism; (3) falsification of epiphenomenalism and parallelism (verification is problematic); (4) verification of particular materialistic theories of consciousness; (5) a non-Turing test for (...) machine consciousness. A complex research program is constructed that includes studies of intelligent machines, numerical models of human and artificial creatures, language, neural correlates of con- sciousness, and quantum mechanisms in brain. (shrink)

As it has been shaped by improvements in its tools and methods, and by its discourse with critics, I describe how the astrological research program has advanced through three stages of modelling and design limitations. Single-factor tests (for example, the many Sun-sign–only experiments that have been published) are typically underdeterministic. Multi-factor tests, unless they are very well designed, can easily become overdeterministic. Chart-matching tests have been vulnerable to confirmation bias errors until the development of a machine-based, whole-chart matching protocol that (...) has objectively produced evidence of high effect-sizes. A meta-analysis of recent results shows the rapid advancement and how to further improve the results. The value of the program is not only to corroborate the taxonomic counterfactuals of astrological “cookbooks,” but to extend their explanatory reach by the comparison of astrological postulates and inferences with philosophies in other disciplines in terms of quantifiable processes and emergent effects. (shrink)

The article discusses key meditation-based programs aimed at nurturing and training the ability to empathize. Historically, these programs have been drawn to Buddhist teachings and traditional meditation practices, but in the process of adapting to global world and a secular context, they separate themselves from religion. In the process of research, I try to demonstrate the importance of these methods for philosophy, ethics and education, since the cultivation of compassion helps to better and more deeply understand the nature of a (...) person, motivation and improve social interaction. Important for the modern world can be not only the therapeutic effect of the mentioned methods, but also their application in the field of philosophy. Although the vectors of Buddhism as religion and humanistic ethics may differ, they seek to improve the quality of human life, develop compassion, respect, trust to the world, and complement each other in conditions of environmental, social, and psychological crisis. For Ukraine, methods of compassion training are very important in the context of war and post-war healing of society. Education in general, and philosophical education in particular, will need a wide range of tools for healing collective trauma, returning to oneself, finding the home of being. (shrink)

This research examines how it is to have tailored training programs to improve behavior at work. It focuses on aspects including interpersonal skills, communication, adaptability, and work ethics. Acknowledging the paucity of empirical research on particular training requirements for these characteristics, the study uses a descriptive-correlational methodology to examine information from ninety production employees at Fine Interiors Trading and Manufacturing Incorporated. To guarantee participation from a range of employment roles, participants were chosen using purposive sampling. Utilizing an extensive survey to (...) evaluate training requirements and demographic data. An assessment of the relationship between training requirements and demographic factors was done using statistical methods such as Chi Square tests and descriptive statistics. The findings indicate that different people have different levels of training demands, and there are strong relationships between the training needs and age, civil status, length of service, educational attainment, assignment area, and employment status. The results highlight the need to tailor training initiatives to particular worker requirements, fostering ongoing enhancement and career advancement. This research adds to the body of knowledge in academia and has real-world implications for businesses looking to get the most out of their training initiatives. (shrink)

In this paper, a solenoid based linearly movable armature system is designed using robust control theory in order to improve the performance of the system. Reference track method is the best performance analysis for position control systems. Among the robust controllers, H infinity mixed-sensitivity and Mixed H 2 /H∞ with Regional Pole Placement Controllers are used to improve the performance of the system. Comparison of the proposed controllers for tracking a reference displacement signals (step and sine wave) and a (...) promising simulation result have been obtained. (shrink)

Working in academia is challenging, even more so for those with limited resources and opportunities. Researchers around the world do not have equal working conditions. The paper presents the structure, operation method, and conceptual framework of the SM3D Portal's community coaching method, which is built to help Early Career Researchers (ECRs) and researchers in low-resource settings overcome the obstacle of inequality and start their career progress. The community coaching method is envisioned by three science philosophies (cost-effectiveness, transparency (...) spirit, and proactive attitude) and established and operated based on the Serendipity-Mindsponge-3D knowledge (SM3D) management framework (i.e., mindsponge thinking and Bayesian Mindsponge Framework analytics serve as the coaching program's foundational theory and analytical tools). The coaching method also embraces Open Science's values for lowering the cost of doing science and encouraging the trainees to be transparent, which is expected to facilitate the self-correcting mechanism of science through open data, open review, and open dialogue. Throughout the training process, members are central beneficiaries by gaining research knowledge and skills, acquiring publication as the training's product, and shifting their mindsets from “I can't do it” to “I can do it,” and at the same time transforming a mentee to be ready for a future mentor's role. The coaching method is thus one of the members, for the member, by the members. -/- • The paper provides the structure, operation method, and conceptual framework of the SM3D Portal's community coaching method, which is built to help Early Career Researchers (ECRs) and researchers in low-resource settings overcome the obstacle of inequality and start their career progress. • The paper presents three major science philosophies envisioning the establishment and operation of scholarly community coaching. • The paper employs the mindsponge theory and BMF analytics to construct a conceptual framework explaining how an environment is created to help shift members’ mindsets from “I can't do it” to “I can do it.”. (shrink)

Enlightenment philosopher, René Descartes, set out to establish what could be known with certainty, untainted by a deceiving demon. With his method of doubt, he rejected all previous beliefs, allowing only those that survived rigorous scrutiny. In this essay, Leslie Allan examines whether Descartes's program of skeptical enquiry was successful in laying a firm foundation for our manifold beliefs. He subjects Descartes's conclusions to Descartes's own uncompromising methodology to determine whether Descartes escaped from a self-imposed radical skepticism.

According to Peter Galison, the coordination of different “subcultures” within a scientific field happens through local exchanges within “trading zones.” In his view, the workability of such trading zones is not guaranteed, and science is not necessarily driven towards further integration. In this paper, we develop and apply quantitative methods (using semantic, authorship, and citation data from scientific literature), inspired by Galison’s framework, to the case of the disunity of high-energy physics. We give prominence to supersymmetry, a concept that has (...) given rise to several major but distinct research programs in the field, such as the formulation of a consistent theory of quantum gravity or the search for new particles. We show that “theory” and “phenomenology” in high-energy physics should be regarded as distinct theoretical subcultures, between which supersymmetry has helped sustain scientific “trades.” However, as we demonstrate using a topic model, the phenomenological component of supersymmetry research has lost traction and the ability of supersymmetry to tie these subcultures together is now compromised. Our work supports that even fields with an initially strong sentiment of unity may eventually generate diverging research programs and demonstrates the fruitfulness of the notion of trading zones for informing quantitative approaches to scientific pluralism. (shrink)