In this paper I propose an approach to thinking about religion and politics that should inform how we think about liberalism and religion. I also consider how the conception of political authority defended by the prominent Muslim public intellectual Abdullahi Ahmed An-Na’im is a paradigm example of liberalism. In Part I I consider two approaches to religion and politics. According to the reductionist view, whether values that are central to a religious tradition can be reconciled to liberalism is more (...) a matter of doctrine than practice. By contrast a non-reductionist approach emphasizes that the relationship between political and religious values is influenced by a number of variables in addition to religious doctrine, including ethnicity, historical memory, political economy, and local politics. On this view, the path between religious and political convictions is anything but a straight line. In Part II I examine central arguments in An-Na’im’s work that are central to his version of liberalism, with a focus on liberty of conscience and religious freedom. To illustrate An-Na’im’s liberalism I focus on examples of claims about morality and theology, politics, and history. I conclude in Part III by considering how An-Na’im’s position is one example of what we would expect from a non-reductionist understanding of religion and politics. (shrink)

Niniejszy artykuł traktuje o możliwościach i powinnościach procesu nauczania fonetyki na polskich uczelniach wśród studentów germanistyki. Zważywszy na bardzo dobrą podstawę poprawnej wymowy, jaką jest korzystna baza artykulacyjna Polaków, jak też rónorodność metod, które powinny być stosowane podczas uczenia fonetyki, nie ulega wątpliwości, że studenci są w stanie sprostać bardzo wysokim wymaganiom stawianym przez wykładowców. Zawarta w artykule baza pojęciowa jest jedną z metod, które winno się wykorzystywać, aby osiągnąć rzeczony cel. A zatem obok nader świadomej artykulacji niemieckich głosek na (...) zajęciach fonetyki na kierunku germanistyki jest również miejsce dla dwóch kolejnych zdecydowanie bardziej praktycznych metod. Chodzi tu oczywiście o metodę werbo-tonalną oraz metodę zmierzającą do automatyzacji jedynie okazyjnie poprawnie artykułowanych głosek. (shrink)

Buildings energy consumption is growing gradually and put away around 40% of total energy use. Predicting heating and cooling loads of a building in the initial phase of the design to find out optimal solutions amongst different designs is very important, as ell as in the operating phase after the building has been finished for efficient energy. In this study, an artificial neural network model was designed and developed for predicting heating and cooling loads of a building based on a (...) dataset for building energy performance. The main factors for input variables are: relative compactness, roof area, overall height, surface area, glazing are a, wall area, glazing area distribution of a building, orientation, and the output variables: heating and cooling loads of the building. The dataset used for training are the data published in the literature for various 768 residential buildings. The model was trained and validated, most important factors affecting heating load and cooling load are identified, and the accuracy for the validation was 99.60%. (shrink)

Abstract: This study introduces a machine learning-based model for predicting student performance using a comprehensive dataset derived from educational sources, encompassing 15 key features and comprising 62,631 student samples. Our five-layer neural network demonstrated remarkable performance, achieving an accuracy of 89.14% and an average error of 0.000715, underscoring its effectiveness in predicting student outcomes. Crucially, this research identifies pivotal determinants of student success, including factors such as socio-economic background, prior academic history, study habits, and attendance patterns, shedding light on the (...) nuanced dynamics of student performance. The key influential features identified in this study offer valuable insights into the complex factors shaping student achievement. These insights are vital for educators, policymakers, and institutions seeking to enhance educational outcomes and promote equitable access to quality education. This research provides a data-driven foundation for proactive interventions, personalized learning strategies, and support systems, ultimately contributing to improved student performance and academic success. The high accuracy of the predictive model and the feature analysis it provides empower decision-makers in the education sector. This model holds significant potential for applications in student performance monitoring, early intervention, and tailored educational strategies. By adopting a data-driven approach, this work advances the field of educational analytics and contributes to the goal of fostering student success and educational equity. (shrink)

Abstract: Pistachio nuts are a valuable source of nutrition and are widely cultivated for commercial purposes. The accurate classification of different pistachio varieties is important for quality control and market analysis. In this study, we propose a new model for the classification of different pistachio varieties using Convolutional Neural Networks (CNNs). We collected a dataset of pistachio images form Kaggle depository with two varieties (Kirmizi and Siirt). The images were then preprocessed and used to train a CNN model based on (...) VGG16. We evaluated the performance of the VGG16 on a held-out test set. Our results show that the CNN-based model VGG16 performed very well in terms of accuracy and efficiency. The VGG16 model was able to accurately classify different pistachio varieties with an accuracy of over 99.91%. Additionally, the VGG16 was able to generalize well to new and unseen data, demonstrating its ability to handle variability in the pistachio images. This study highlights the potential of CNNs for the classification of different pistachio varieties, and has important implications for the pistachio industry. The results suggest that this approach can be used to improve the quality control process and enhance market analysis. (shrink)

Abstract: Background: In spite of the fact that computers continue to improve in speed and functions operation, they remain complex to use. Problems frequently happen, and it is hard to resolve or find solutions for them. This paper outlines the significance and feasibility of building a desktop PC problems diagnosis system. The system gathers problem symptoms from users’ desktops, rather than the user describes his/her problems to primary search engines. It automatically searches global databases of problem symptoms and solutions, and (...) also allows ordinary users to contribute exact problem reports in a structured manner. Objectives: The main goal of this Knowledge Based System is to get the suitable problem desktop PC symptoms and the correct way to solve the errors. Methods: In this paper the design of the proposed Knowledge Based System which was produced to help users of desktop PC in knowing many of the problems and error such as : Power supply problems, CPU errors, RAM dumping error, hard disk errors and bad sectors and suddenly restarting PC. The proposed Knowledge Based System presents an overview about desktop PC hardware errors are given, the cause of fault are outlined and the solution to the problems whenever possible is given out. CLIPS Knowledge Based System language was used for designing and implementing the proposed expert system. Results: The proposed PC desktop troubleshooting Knowledge Based System was evaluated by IT students and they were satisfied with its performance. (shrink)

The best justification of time-discounting is roughly that it is rational to care less about your more distant future because there is less of you around to have it. I argue that the standard version of this argument, which treats both psychological continuity and psychological connectedness as reasons to care about your future, can only rationalize an irrational—because exploitable—form of future discounting.

Organizations are increasingly finding it challenging to balance economic and environmental performance particularly those that face competitive, regulatory and community pressure. With the increasing pressures for environmental sustainability, this calls for the new formulation of strategies by the manufacturers in order to minimize their products and services negative impact on the environment. Hence, Green Human Resource Management (GHRM) continues to be an important research agenda among the researchers. In Palestine, green issues are new and still developing. Constant study is needed (...) to fully understand and update information regarding this area. Objective: The aim of this paper is to explore the views and level of acceptance of GHRM practices among manufacturing firms in Palestine. Results: Through the use of e-mail survey, 121 responses were obtained to generate the results of the study. The result showed GHRM practices have been practiced to somewhat to a greater extent a firms in Palestine. Findings can be extended to study on the issues in further. Academicians and practitioners can apply this result to their research and business strategies on how to improve sustainable performance and to effectively implement GHRM practices. (shrink)

In light of the theme of the 5th World Conference on Women's Studies 2019, 'Activism, Solidarity and Diversity: Feminist Movements Toward Global Sisterhood', this article contends that Sherley Anne Williams's Dessa Rose (1986) is an appeal for an American bond of sisterhood between feminists and womanists. In the process, it examines the relationship between the novel's two Black and White heroines, Dessa Rose and Ruth Sutton respectively, through the lens of Bonnie Thornton Dill's definition of sisterhood in her seminal work, (...) Race, Class, and Gender: Prospects for an All-Inclusive Sisterhood. While discomfort and distrust encircle their first encounter in the Sutton's Glen, equality, reciprocation, and trust adorn their sisterhood in their last encounter in jail. Such a sisterhood is the aftermath of both women's realization that they are both subjects to White men's patriarchy. Williams's use of both heroines as microcosms for Black and White women addresses the widening gap in the 1980s and today between feminists and womanists for an American sisterhood in black and white. (shrink)

The best-known argument for Evidential Decision Theory (EDT) is the ‘Why ain’cha rich?’ challenge to rival Causal Decision Theory (CDT). The basis for this challenge is that in Newcomb-like situations, acts that conform to EDT may be known in advance to have the better return than acts that conform to CDT. Frank Arntzenius has recently proposed an ingenious counter argument, based on an example in which, he claims, it is predictable in advance that acts that conform to EDT will do (...) less well than acts that conform to CDT. We raise two objections to Arntzenius’s example. We argue, first, that the example is subtly incoherent, in a way that undermines its effectiveness against EDT; and, second, that the example relies on calculating the average return over an inappropriate population of acts. (shrink)

Abstract: This study is aimed to examine the role of youth in National Assembly Elections-2013 in Islamabad. After May,11, 2013 General Elections a Elections commission of Pakistan reported that due to involvement of youth the huge turnout in the elections first time in the Pakistanâ’s history. This study also examines this claim and analyzes different factors due to which young people are more involved in political process. It addresses different mobilization trends of political parties create interest among youth; their attitude (...) towards the political institutions; their perception about the effectiveness of political parties and politicians; and their need to have a platform for their political ideology. This study also examines whether Socio-political culture of politics in Pakistan is responsible in shaping young peoples’ values and views on politics. Furthermore, it also focused the uses of media and Specially social media among the youth for campaigns by different political parties. It is also highlighted in the research that youth is seems frustrate before elections-2013. This descriptive study is qualitative in nature. This study collected a sample of 50 youth from educational institutions as well as from kachi abadis of Islamabad. The findings reveal that young people were frustrate due to traditional politics in Pakistan, lack of political education and political socialization. This study finds out that young people are aware of political scenario and they do take interest in political talk shows in the media but this awareness and interest does not always translate into formal or conventional engagement with political party structures through membership etc. The conclusion that new mobilization trends specially social media attract the young people towards National Assembly Elections and increasing the political interest which also leads towards higher voter turnout in the General elections-2013. (shrink)

We describe the earliest occurrences of the Liar Paradox in the Arabic tradition. e early Mutakallimūn claim the Liar Sentence is both true and false; they also associate the Liar with problems concerning plural subjects, which is somewhat puzzling. Abharī (1200-1265) ascribes an unsatisfiable truth condition to the Liar Sentence—as he puts it, its being true is the conjunction of its being true and false—and so concludes that the sentence is not true. Tūsī (1201-1274) argues that self-referential sentences, like the (...) Liar, are not truth-apt, and defends this claim by appealing to a correspondence theory of truth. Translations of the texts are provided as an appendix. (shrink)

The study aimed to know the relationship between the nature of the work and the type of communication among the Employees in the Palestinian universities. A comparative study between Al-Azhar University and Al-Aqsa University. The researchers used the analytical descriptive method through a questionnaire that is randomly distributed among the employees of Al-Azhar and Al-Aqsa universities in Gaza Strip. The study was conducted on a sample of (176) administrative employees from the surveyed universities. The response rate was (85.79%). The study (...) reached a number of results, the most important of which is that there is a high degree of satisfaction with the nature of work prevailing in the Palestinian universities in Gaza Strip from the point of view of the administrative staff, where the percentage was (68.15%). There is an Mean level of communication from the point of view of administrative staff, with a percentage of (67.50%). There is a direct correlation between the nature of the work and the prevailing pattern of communication. There is an absence of differences between the sample according to the gender variable in their perception of the nature of work and the prevailing pattern of communication. There is an absence of differences in the perception of Employees nature of work and the pattern of communication prevailing depending on the variables (age, years of service, job level, and university). There are statistically significant differences between Al-Azhar University and Al-Aqsa University in favor of Al-Azhar University. The study reached a number of recommendations, the most important of which is that the interest of the management of the Palestinian universities in Gaza Strip in general, and Al-Aqsa and Al-Azhar Universities in particular should be provided with a good nature of work and communication. There is a need for continuing the management of universities to pay attention and continuous improvement of the performance of employees. There is an importance of solving the problems of Employees and giving them the opportunity to contribute to solving their own problems. Staff rotation should be used periodically and the need to strengthen the democratic leadership style and empower university Employees. (shrink)

Causal Decision Theory reckons the choice-worthiness of an option to be completely independent of its evidential bearing on its non-effects. But after one has made a choice this bearing is relevant to future decisions. Therefore it is possible to construct problems of sequential choice in which Causal Decision Theory makes a guaranteed loss. So Causal Decision Theory is wrong. The source of the problem is the idea that agents have a special perspective on their own contemplated actions, from which evidential (...) connections that observers can see are either irrelevant or invisible. (shrink)

Abstract. Suppose that the word of an eyewitness makes it 80% probable that A committed a crime, and that B is drawn from a population in which the incidence rate of that crime is 80%. Many philosophers and legal theorists have held that if this is our only evidence against those parties then (i) we may be justified in finding against A but not against B; but (ii) that doing so incurs a loss in the accuracy of our findings. This (...) paper argues against (ii). It argues that accuracy considerations can motivate taking different attitudes towards individualized and statistical evidence even across cases where they generate the same probability that the defendant is guilty. (shrink)

Karl Marx states in Capital that “man, if not as Aristotle thought a political animal, is at all events a social animal” (Marx, 1992, 444). That Marx draws from Aristotle’s work has been long-recognized, but one could argue that Marx’s very conception of man—what he calls “species-being”—is a derivative of Aristotle’s theory of the good life. This article explores the Aristotelian underpinnings of Marx’s political philosophy and argues that Marx’s theory of species-being and human emancipation supervenes upon Aristotle’s theory of (...) eudaimonia. The consequence of such a rethinking suggests that the Aristotelian good life itself is possible only in the communist society of Marx’s imaginings and, as such, is a state that must be realized—whether by nature or revolution—for human flourishing. Inspired by Aristotle’s assertion that “friendship exists to the extent that what is just exists” (Aristotle, 1991a, 527), this article draws from several of Aristotle’s and Marx’s texts to situate man as an inherently social being, whose need of other men serves both to edify and realize a common end toward which the state is oriented: the life of virtuous activity performed by and in an association of equals. (shrink)

The ancient names of Assam were Kamrupa and Pragjyotisa, which had been inhabited by the Kirata or Mongoloid people before the Aryan culture could spread its influence over the North Eastern part of India. Before the advent of the Aryan civilization, the Austric-Mongolian and Dravidian culture was the prevalent culture of the people of this area. According to some scholar, the Aryans advent in North East India was occurrence of the pre-Buddhist period. The period of the Brahmins was followed by (...) the Buddhist period, so far as the cultural history of India is concerned. In comparatively, ancient inscriptions of Assam, we find that, the high caste Aryans like Brahmans, Shatriyas and Kalitas entered into Assam and began to settle here even during the Pre-Christian era. The mention of Kamrupa and Devoka in the Allahabad pillar inscription of the Gupta king Samudragupta has an important bearing on the Aryanisation of North East India. In the domain of political system, it is all probable that the ancient Assam populated by the non-Khmer group of the Austric and the Tibeto-Burman people was in tribal state of society. Narakasura and Bhagadutta, the legendary kings of Assam were probably the first monarchical rulers and they were in all probability the Aryanised or Hunduised Mongoloid persons. In other words, the tribal political system of Assam was changed into monarchical system by the influence of the Aryan culture. (shrink)

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with 97.50 (...) % accuracy. The factor of DriveTrain has the most influence on MPG_City evaluation. Similar studies can be carried out for the evaluation of other characteristics of cars. (shrink)

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Buying, Maint, Doors, Persons, Lug_boot, Safety, and Overall. ANN was used in forecasting car acceptability. The results showed that ANN model was able to predict the car acceptability with 99.12 %. The factor of Safety has the most influence on car acceptability evaluation. Comparative study method is (...) suitable for the evaluation of car acceptability forecasting, can also be extended to all other areas. (shrink)

Programming artificial intelligence to make fairness assessments of texts through top-down rules, bottom-up training, or hybrid approaches, has presented the challenge of defining cross-cultural fairness. In this paper a simple method is presented which uses vectors to discover if a verb is unfair or fair. It uses already existing relational social ontologies inherent in Word Embeddings and thus requires no training. The plausibility of the approach rests on two premises. That individuals consider fair acts those that they would be willing (...) to accept if done to themselves. Secondly, that such a construal is ontologically reflected in Word Embeddings, by virtue of their ability to reflect the dimensions of such a perception. These dimensions being: responsibility vs. irresponsibility, gain vs. loss, reward vs. sanction, joy vs. pain, all as a single vector. The paper finds it possible to quantify and qualify a verb as fair or unfair by calculating the cosine similarity of the said verb’s embedding vector against FairVec—which represents the above dimensions. We apply this to Glove and Word2Vec embeddings. Testing on a list of verbs produces an F1 score of 95.7, which is improved to 97.0. Lastly, a demonstration of the method’s applicability to sentence measurement is carried out. (shrink)

I begin and conclude the article by arguing that culturalisation has contributed significantly to the decline of the Left and its universal ideals. In the current climate of public opinion, ‘race’ is no longer used, at least openly, as a scientific truth to justify racism. Instead, ‘culture’ has become the mysterious term that has made the perpetuation of racist discourse possible. ‘Culture’, in this newracist worldview, is the unquestioned set of traits continually attributed to the non-White Other, essentially to de-world (...) her Being and de-individualise her personhood. In other words, ‘culture’, as it is used in the old anthropological sense, is the magic incantation with which the Other is demonised, mystified, and/or ridiculously oversimplified. I focus on the phenomenon of ‘culturalisation’ as a common new-racist method of de-politicising the Other’s affairs and surrounding socio-political phenomena. The article is an attempt to discredit the paradigm of ‘culture’ as a pseudo-concept used commonly in cultural racism. This cultural racism routinely assumes ‘culture’ to be a natural given almost exactly as the pseudo-scientific paradigm ‘race’ was (and is still) used in some discourses of biological racism. If mentality X attributes categorical differences to different groups of people based on A and A is assumed to be natural, ahistorical, and/or metaphysical, then X is a racist mentality. Obviously, A does not have to be skin-color or ‘blood’ in order for X to be racist. (shrink)

The aesthetic theory of AlHasan Ibn AlHaytham, known in Latin as Alhazen , has hardly received any attention in the realm of aesthetic investigations. The aesthetic theory is based on twenty-two criteria, which he describes in his book, Kitab Almanazir, better known in Latin as Optica. To illustrate the notion of beauty presented in Optica, one has to understand Alhazen's cultural encyclopedia based on classical Greek knowledge and Islamic sciences. The Greeks and the Egyptians before them, relied on the concepts (...) of measure and geometry as the foundation of aesthetic criteria. By examining the third chapter of Optica, one can see that Alhazen does not look upon these traditional concepts as the fundamental principles of beauty, but he approaches the problem differently. He addresses it as a continuation of his research theme in Optica--to present a proper theory of vision. He dilates upon his twenty-two characteristics as they can be perceived by sight. Alhazen calls these different characteristics the "visible properties" . Explaining each of these properties and the way they are perceived, Alhazen comes up with a hypothesis of "how to entitle an object to be considered beautiful" and a new interpretation of beauty, which is based upon the visual qualities of visible objects. This search of Alhazen hypothesis is essential for drawing architecture out of the present condition of impasse. (shrink)

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with 97.50 (...) % accuracy. The factor of DriveTrain has the most influence on MPG_City evaluation. Similar studies can be carried out for the evaluation of other characteristics of cars. (shrink)

Cardiovascular diseases, including heart disease, pose a significant global health challenge, contributing to a substantial burden on healthcare systems and individuals. Early detection and accurate prediction of heart disease are crucial for timely intervention and improved patient outcomes. This research explores the potential of neural networks in predicting heart disease using a dataset collected from Kaggle, consisting of 1025 samples with 14 distinct features. The study's primary objective is to develop an effective neural network model for binary classification, identifying the (...) presence or absence of heart disease. The neural network architecture includes an input layer, a hidden layer, and an output layer, designed to capture intricate relationships within the dataset. Rigorous training and validation processes, accompanied by data preprocessing steps, ensure the model's robustness and generalization capabilities. The results demonstrate promising performance, with an accuracy of 92% and an average error of 0.062. Moreover, an analysis of feature importance highlights key predictors, including "oldpeak," "thalach," "trestbps," "ca," "thal," "cp," "chol," "sex," "restecg," "age," "slope," "fbs," and "exang." This research contributes to the field of predictive healthcare by leveraging neural networks to enhance heart disease prediction. The developed model offers the potential for early identification of individuals at risk, facilitating timely medical interventions and ultimately improving public health. Further exploration of machine learning techniques in healthcare promises to reshape disease prediction and prevention strategies. (shrink)

We sought to compare the implicit and explicit views of a group of Muslim graduates on the fairness of Islamic law. In this preliminary investigation, we used the Electroencephalographic N400 Event Related Potential to detect the participant’s implicit beliefs. It was found that the majority of participants, eight out of ten, implicitly held that Islamic Law was unfair despite explicitly stating the opposite. In seeking to understand what separated these eight participants from the remaining two – the two who both (...) implicitly and explicitly held that Islamic Law was fair – only two distinguishing characteristics could be identified. Both participants had undertaken an in-depth study of a branch of Islamic law that places the spirit of the law above that of a literal interpretation. They had also attended the same seminary, exclusive to the other participants. Of the eight participants, it was discovered that, while they implicitly held Islamic law to be unfair, they also held it to be rational – in the same way they found that it was rational to push a person of a ship in order to save the remaining from drowning, yet unfair. We discuss these preliminary findings and consider theories on how an innate sense of fairness, an aspect of nativism, may come into play when it is not congruent with a participant’s own beliefs. Further, we ask, where such an inconsistency occurs, how does the mind attempt to rectify it – if at all? As a possible contribution to the discussion on theories of nativism vs. empiricism we put forward a hypothesis and methodology for investigation that may produce previously unconsidered data on human nature. (shrink)

Abstract: In this research, an Artificial Neural Network (ANN) model was developed and tested to predict efficiency of antibiotics in treating various bacteria types. Attributes that were taken in account are: organism name, specimen type, and antibiotic name as input and susceptibility as an output. A model based on one input, one hidden, and one output layers concept topology was developed and trained using a data from Queensland government's website. The evaluation shows that the ANN model is capable of correctly (...) predicting the susceptibility of organisms to the antibiotics with 98% accuracy. -/- . (shrink)

The paper argues against a widely held synchronic view of emotional rationality. I begin by considering recent philosophical literature on various backward‐looking emotions, such as regret, grief, resentment, and anger. I articulate the general problem these accounts grapple with: a certain diminution in backward‐looking emotions seems fitting while the reasons for these emotions seem to persist. The problem, I argue, rests on the assumption that if the facts that give reason for an emotion remain unchanged, the emotion remains fitting. However, (...) I argue there are rationally self‐consuming attitudes: affective attitudes that become less fitting the longer they endure while the facts that give reason for them persist. A widely held synchronic view of fitting affective attitudes denies that fittingness at a time depends on the agent's attitudes at different times and therefore denies that the fittingness of an affective attitude can depend on its duration. Once we reject the synchronic view, we may see that affective attitudes are often fitting due to the fitting processes of which they are part. These fitting processes explain the fitting diminution of backward‐looking emotions as well as other diachronic aspects of the fittingness of emotions. -/- . (shrink)

Considerable recent research in neurosciences has dealt with the topic of consciousness, even though there is still disagreement about how to identify and classify conscious states. Recent behavioral work on the topic also exists. We survey recent behavioral and neuroscientific literature with the aims of commenting on strengths and weaknesses of the literature and mapping new directions and recommendations for experimental psychologists. We reconcile this literature with a view of human information processing (Cowan, 1988; Cowan et al., 2024) in which (...) a capacity-limited focus of attention is embedded within the activated portion of long-term memory, with dual bottom-up and top-down control of the focus of attention. None of the many extant theories fully captures what we propose as the organization of conscious thought at cognitive and neural levels. It seems clear that information from various cognitive functions, based on signals from various brain areas, is integrated into a conscious whole. In our new proposal, the integration involves funneling information to a hub or focus of attention neurally centered in the parietal lobes and functionally connected to areas representing the currently attended information. This funneling process (bringing information from diverse sensory and frontal sources to contact a small parietal area where attended information is coordinated and combined) may be the converse of global broadcasting, from other proposals (Baars et al., 2021; Baars & Franklin, 2003; Dehaene & Changeux, 2011). The proposed system incorporates many principles from previous research and theorization and strives toward a resolution of the relation between consciousness and attention. Keywords: consciousness, attention, embedded processes model, experimental psychology, neuroscience. (shrink)

Abstract: The aim behind analyzing Google Stock Prices dataset is to get a fair idea about the relationships between the multiple attributes a day might have, such as: the opening price for each day, the volume of trading for each day. With over a hundred thousand days of trading data, there are some patterns that can help in predicting the future prices. We proposed an Artificial Neural Network (ANN) model for predicting the closing prices for future days. The prediction is (...) based on these features (date, opening price, highest price, lowest price, volume), which were used as input variables and (closing price) as output variable for our ANN model. Our model was created, trained, and validated using data set in JNN environment, which its title is “Google-Stock-Prices”. The model evaluation showed that the ANN model is able to predict correctly 99.48% of the validation samples. (shrink)

Abstract: Background: In spite of the fact that computers continue to improve in speed and functions operation, they remain complex to use. Problems frequently happen, and it is hard to resolve or find solutions for them. This paper outlines the significance and feasibility of building a desktop PC problems diagnosis system. The system gathers problem symptoms from users’ desktops, rather than the user describes his/her problems to primary search engines. It automatically searches global databases of problem symptoms and solutions, and (...) also allows ordinary users to contribute exact problem reports in a structured manner. Objectives: The main goal of this Knowledge Based System is to get the suitable problem desktop PC symptoms and the correct way to solve the errors. Methods: In this paper the design of the proposed Knowledge Based System which was produced to help users of desktop PC in knowing many of the problems and error such as : Power supply problems, CPU errors, RAM dumping error, hard disk errors and bad sectors and suddenly restarting PC. The proposed Knowledge Based System presents an overview about desktop PC hardware errors are given, the cause of fault are outlined and the solution to the problems whenever possible is given out. CLIPS Knowledge Based System language was used for designing and implementing the proposed expert system. Results: The proposed PC desktop troubleshooting Knowledge Based System was evaluated by IT students and they were satisfied with its performance. (shrink)

Abstract: Good governance practices is a cornerstone for a country’s sustainable development whether socially, economically, culturally, morally or spiritually and in both national and international astute. Mostly, the significance of good governance practices is objective for an individual country in respect of economic efficiency and growth. Good governance is conducive to macroeconomic stability, external viability and sustainable development [1]. While the concepts of “governance” and “good governance” are not “new” in development literatures, is still receiving a mounting attention in recent (...) years especially in developing countries including Tanzania. Since independence of Tanganyika by then, and after the union of Tanganyika and Zanzibar, United Republic of Tanzania made many attempts to improve her governance system. It is in this line therefore, this paper aiming to analyze government initiatives in achieving good governance practices in Zanzibar. Using descriptive approach, government institutions in Zanzibar found to implement an outdated good governance policy. However, the initiatives taken so far in adopting good governance practices are stronger and the society has changed as a result of their realization which is due to those initiatives taken by the government in achieving good governance practices. This study was conducted in selected departments under President’s Office, Justice, Constitutional Affairs, Public Service and Good Governance since they have overall mandate of implementing good governance in Zanzibar [2]. The study employed both qualitative and quantitative methods. Qualitative method was used in the form of interviews while quantitative method was used in the form of questionnaires. Findings revealed that, the people of Zanzibar appreciates and have positive attitudes and perceptions towards the initiatives taken by their Government in adopting good governance practices although impediments like availability of an outdated good governance policy, inadequate public awareness on good governance, inadequate good governance budget from central government, poor technology and office politics were mentioned to hindering these initiatives. However, to a great extent the government of Zanzibar succeed in adopting good governance practices in a way that society observes it and practically executes good governance principles. Based on the findings, this study recommends government of Zanzibar to review and updates her good governance policy, allocate enough budget that enables responsible institutions to efficiently and effective implement good governance practices programs and activities which including provision of awareness creation and civic education curricula especially in remote area of the country which will facilitates and speedup the elimination of factors hindering adoption of good governance practices in Zanzibar and Tanzania at large. (shrink)

This work introduces the framework for selecting architecture in 5G networks, considering various technological, performance, economic, and operational factors. With the emergence of 5G technology, the architecture selection process has become pivotal in meeting diverse requirements for ultra-high-speed connectivity, low latency, scalability, and diverse service demands. The evaluation comprehensively analyses different architecture options, including centralized, distributed, cloud-based, and virtualized architectures. Factors such as network performance, scalability, cost-effectiveness, security, and compatibility are considered within a multi-criteria decision-making framework. Findings reveal each architecture (...) option's diverse strengths and limitations, emphasizing the importance of aligning architectural choices with specific use cases, deployment scenarios, and business objectives. We used the concept of multi-criteria decision-making (MCDM) methodology to control the various criteria. We used the single-valued neutrosophic set (SVNS) to deal with vague and inconsistent data. The SVNS is integrated with the hyperSoft set. The proposed methodology uses a single-valued neutrosophic hyperSoft set (SVNHSS) to select the best 5G architecture. We used the VIKOR method as an MCDM method to rank the alternatives. The proposed framework provides stakeholders with a structured methodology to evaluate and prioritize architecture options, facilitating informed decision-making in the complex landscape of 5G network deployments. (shrink)

Abstract: The paper describes the design of an intelligent tutoring system for teaching Introduction to Computer Science-a compulsory curriculum in Al-Azhar University of Gaza to students who attend the university. The basic idea of this system is a systematic introduction into computer science. The system presents topics with examples. The system is dynamically checks student's individual progress. An initial evaluation study was done to investigate the effect of using the intelligent tutoring system on the performance of students enrolled in computer (...) science curriculum at Al-Azhar University, Gaza. The results showed a positive impact on the evaluators. (shrink)

Abstract: The paper describes the design of an intelligent tutoring system for teaching Introduction to Computer Science-a compulsory curriculum in Al-Azhar University of Gaza to students who attend the university. The basic idea of this system is a systematic introduction into computer science. The system presents topics with examples. The system is dynamically checks student's individual progress. An initial evaluation study was done to investigate the effect of using the intelligent tutoring system on the performance of students enrolled in computer (...) science curriculum at Al-Azhar University, Gaza. The results showed a positive impact on the evaluators. (shrink)

ABSTRACT Some epistemologists hold that all rational norms are fundamentally concerned with the agent’s states or attitudes at an individual time [Hedden 2015, 2016; Moss 2015]; others argue that all rational norms are fundamentally concerned with processes [Podgorski 2017]. This distinction is not drawn in discussions of emotional rationality. As a result, a widely held assumption in the literature on emotional rationality has gone unexamined. I employ Abelard Podgorski’s argument from rational delay to argue that many emotional norms are fundamentally (...) concerned with emotional processes. I also claim that the main response available to the synchronist about belief is not available to the synchronist about emotions and, therefore, fundamental process norms are more plausible than epistemologists tend to believe. (shrink)

This study employs a neural network to analyze the connection between smoking, drinking, and various health-related factors using a dataset of 5148 samples. Achieving an impressive 99.94% accuracy and an average training error of 0.0016, the model identifies influential factors such as serum aminotransferases, serum creatinine, sex, weight, and triglyceride levels. These findings enhance our understanding of lifestyle choices and their impact on health. This research underscores the potential of machine learning in studying complex health phenomena.

The Black woman has always been portrayed in clichéd images in the white media, stereotyping them in a racist and sexist manner. In Black Women Image Makers, Mary Helen Washington dwells upon such unfair portrayals as the tragic mulatto, the hot blooded exotic whore and the strong Black Mammy. And this is probably why the black mother frequently appears in literature as a figure of towering strength. In Zora Neale Hurston’s Their Eyes Were Watching God (1937), an old grandmother, a (...) former slave, accurately describes her position in this society: "De nigger woman is de mule uh de world so fur as Ah can see". The black mother is not a woman with power, not a liberated woman, but a mule, picking up the burdens that everyone else has thrown down and refused to carry. To outsiders, the Negro mother appears to be the one-dimensional Rock of Gibraltar – strong of back, long of arm, incapable of destruction. The proposed paper would study the black mothers as portrayed in Alice Walker’s novels, The Third Life of Grange Copeland and Meridian. To Walker, the Black mother is an individual – profound, tragic, mysterious, sacred, and unfathomable – strong in many, but not in all ways. She claims that the assertion of the black mother as a superwoman is a myth, and she feels that the black mother isn’t always strong. A black man does have a history of ignoring his responsibilities, but the black mother has had no choice in any matter; she has had to pick up the burdens that no one else would carry. In her fiction, Walker introduces the real-feeling, caring, uncaring, disappointed, indifferent black mother to the world. (shrink)

Na pocz¸a}tku XXI wieku zachodz¸a} istotne przemiany w relacjach pracy i czasu wolnego. Dostrzega siȩ też rozwój gospodarki kreatywnej wraz z wyłanianiem siȩ nowej stratyfikacji społecznej i zmian¸a} czynników rozwojowych. Coraz wiȩksze znaczenie w przemianach społeczno-gospodarczych ma sektor kultury oraz działania na rzecz kształtowania przemysłów kultury i kreatywnych, wraz z ich powi¸a}zaniami z sektorami zależnymi jak np. turystyka, architektura i wzornictwo przemysłowe. Celem artykułu jest odniesienie tych procesów i zjawisk do warunków województwa podlaskiego oraz przybliżenie głównych przesłanek powołania Regionalnego Obserwatorium (...) Kultury. Artykuł wskazuje na potrzebȩ i potencjalne korzyści z zarz¸a}dzania wiedz¸a na temat kultury na poziomie regionalnym poprzez prowadzenie prac teoretycznych i metodologicznych w ramach obserwatorium. Opracowanie na podstawie analizy danych zastanych i wyników badań własnych zwraca uwagȩ na główne cechy regionu, potrzeby informacyjne instytucji kulturalnych i artystycznych, możliwe modele obserwatorium kultury, potencjalne obszary działalności obserwatorium i korzyści z niej wynikaj¸ace. ** At the beginning of the XXI century, there are significant changes in relations of work and leisure time. The development of creative economy is also recognized along with emergence of a new social stratification and changes in developmental factors. Increasingly im- portant in the socio-economic transformation is cultural sector as well as promotion of culture and creative industries development including their linkages with dependent sectors such as tourism, architecture and industrial design. The aim of this article is to refer these processes and phenomena to the conditions of Podlaskie Voivodship and to discuss the main reasons of Regional Observatory of Culture establishment. Article indicates the need for and potential benefits of knowledge management on culture at the regional level by conducting theoretical and methodological work within the observatory. Essay based on an analysis of existing data and own research results highlights the main features of the region, information needs of cultural and art institutions, culture observatory possible models, potential activity areas of the regional observatory and the arising benefits from its activities. (shrink)

By studying the effect of human resource development on strengthening the firm's total capabilities this literature review investigates the relationship between the development of human capabilities and company performance by studying the effects of human resource development on strengthening a firm’s total capabilities. To provide a thorough grasp of the subject, the review synthesizes and analyzes pertinent research articles, academic papers, and industry reports. SPSS version 22 statistical software was used for social sciences. Descriptive and inferential statistics were used to (...) analyze the questionnaire data. To attain a lasting competitive advantage, the assessment also emphasizes the significance of fostering a learning culture, adopting cutting-edge procedures, and putting in place efficient training and development programs. The main findings show that investing in the growth of human capabilities has a favorable impact on the success of the company, especially when those investments are made in conjunction with the growth of the organization's capabilities. Investing in an employee's skill and capability development boosts productivity, enhances innovation, reduces costs, fosters customer loyalty and satisfaction, and provides a company with a competitive advantage. (shrink)

Abstract: Accurate stock price prediction is essential for informed investment decisions and financial planning. In this research, we introduce an innovative approach to forecast stock prices using an Artificial Neural Network (ANN). Our dataset, consisting of 5582 samples and 6 features, including historical price data and technical indicators, was sourced from Yahoo Finance. The proposed ANN model, composed of four layers (1 input, 1 hidden, 1 output), underwent rigorous training and validation, yielding remarkable results with an accuracy of 99.84% and (...) an average error of 0.005. Additionally, we conducted a feature importance analysis, identifying the key drivers of stock price prediction, such as "High," "Low," "Open," "Volume"," and "Date." This study not only offers a highly accurate stock price prediction model but also contributes valuable insights into the influential factors affecting stock prices, enhancing the field of financial analysis and investment decision-making that are suitable for the task. (shrink)

Abstract: In this research, the Artificial Neural Network (ANN) model was developed and tested to predict the rate of treatment expenditure on an individual or family in a country. A number of factors have been identified that may affect treatment expenses. Factors such as age, grade level such as primary, preparatory, secondary or college, sex, size of disability, social status, and annual medical expenses in fixed dollars excluding dental and outpatient clinics among others, as input variables for the ANN model. (...) A model based on the multi-layer Perceptron topology was developed and trained using data on 5574 cases. The evaluation of the test data shows that the ANN model is capable of predicting correctly Medical Expenses. (shrink)

I propose that shock can be morally significant independently of its consequences but only as part of an ongoing commitment to certain norms, in particular norms that constitute recognizing another as a person. When we witness others in agony, or being severely wronged, or when we ourselves severely wrong or mistreat others, our shock can reflect our recognition of them as persons, a recognition constituted by our commitment to certain moral norms. However, if we do not in fact respond to (...) the suffering or wrong in accordance with these norms—if, for example, we do not act to relieve their suffering or to properly address the wrong done, and do not avoid or prevent its recurrence—then our commitment to the relevant norms is undermined. When we consistently violate the norms whose violation initially shocked us, our lingering shock upon repeated violations gradually loses its significance and becomes a mere impulse—a fossil of a past commitment, so to speak—before it disappears completely. The failure to be shocked in such instances marks the failure of our moral commitments, which is the failure to recognize others as persons. (shrink)

Our beliefs, intentions, desires, regrets, and fears are evaluable for fit—they can succeed or fail to be fitting responses to the objects they are about. Can our headaches and heartrates be evaluable for fit? The common view says ‘no’. This chapter argues: sometimes, yes. First, it claims that when a racing heart accompanies fear it seems to have the typical characteristics of fit-evaluable items. Then, it suggests that suspicion of this initial impression is explained by the assumption that whether an (...) item is ever fit-evaluable is determined by the type of item it is. Fear is the type of thing that can be fit-evaluable, a racing heart is not. The chapter then proposes an alternative whereby the same type of item can be fit-evaluable on one occasion but not on another. What explains the difference, it is argued, is that only in the former occasion the item is explained by the agent’s narrative as an element of a fit-evaluable response. (shrink)

Abstract: Breast cancer is reported to be the most common cancer type among women worldwide and it is the second highest women fatality rate amongst all cancer types. Notwithstanding all the progresses made in prevention and early intervention, early prognosis and survival prediction rates are still not sufficient. In this paper, we propose an ANN model which outperforms all the previous supervised learning methods by reaching 99.57 in terms of accuracy in Wisconsin Breast Cancer dataset. Experimental results on Haberman’s Breast (...) Cancer Survival dataset show the superiority of proposed method by reaching 88.24 % in terms of accuracy. The results are the best reported ones obtained from Artificial Neural Network using JNN environment without any preprocessing of the dataset. (shrink)

The use of social networks such as Facebook, Twitter, and YouTube in the society has become ubiquitous. The advent of communication technologies alongside other unification trends and notions such as media convergence and digital content allow the users of the social network to integrate these networks in their everyday life. There have been several attempts in the literature to investigate and explain the use of social networks such as Facebook and WhatsApp by university students in the Arab region. However, little (...) research has been done on how university students utilise online audiovisual materials in their academic activities in the UAE. This research aims to elucidate the use of YouTube as a learning aid for university students in the UAE. We adopt the technology acceptance model (TAM) as the theoretical framework for this investigation. A quantitative methodology is employed to answer the research question. Primary data consisting of 221 correspondents were analysed, covering patterns of using YouTube as an academic audiovisual learning aid. Statistical techniques including descriptive, correlations, regression tests were used to analyse the data. The study concluded that students use YouTube as a learning tool for their academic studies and enriching their general knowledge; and there is a positive relationship between the use of YouTube videos in academic settings and the students’ overall performance. This study can shed light for teachers, curriculum designers, government entities, and other stakeholders on how to best utilise and integrate the online technology — YouTube — as a learning aid. (shrink)

Background: Critically ill patients often require complex clinical care by highly trained staff within a specialized intensive care unit (ICU) with advanced equipment. There are currently limited data on the costs of critical care in low-and middle-income countries (LMICs). This study aims to investigate the direct-medical costs of key infectious disease (tetanus, sepsis, and dengue) patients admitted to ICU in a hospital in Ho Chi Minh City (HCMC), Vietnam, and explores how the costs and cost drivers can vary between the (...) different diseases. -/- Methods: We calculated the direct medical costs for patients requiring critical care for tetanus, dengue and sepsis. Costing data (stratified into different cost categories) were extracted from the bills of patients hospitalized to the adult ICU with a dengue, sepsis and tetanus diagnosis that were enrolled in three studies conducted at the Hospital for Tropical Diseases in HCMC from January 2017 to December 2019. The costs were considered from the health sector perspective. The total sample size in this study was 342 patients. -/- Results: ICU care was associated with significant direct medical costs. For patients that did not require mechanical ventilation, the median total ICU cost per patient varied between US$64.40 and US$675 for the different diseases. The costs were higher for patients that required mechanical ventilation, with the median total ICU cost per patient for the different diseases varying between US$2,590 and US$4,250. The main cost drivers varied according to disease and associated severity. -/- Conclusion: This study demonstrates the notable cost of ICU care in Vietnam and in similar LMIC settings. Future studies are needed to further evaluate the costs and economic burden incurred by ICU patients. The data also highlight the importance of evaluating novel critical care interventions that could reduce the costs of ICU care. (shrink)

A joke is amusing if and only if it’s fitting to be amused by it; an act is regrettable if and only if it’s fitting to regret it. Many philosophers accept these biconditionals and hold that analogous ones obtain between a wide range of additional evaluative properties and the fittingness of corresponding responses. Call these the _fit–value biconditionals_. The biconditionals give us a systematic way of recognizing the role of fit in our ethical practices; they also serve as the bedrock (...) of various metaethical projects, such as fitting-attitude analysis of value and the ‘fittingness first’ approach. Yet despite the importance of the biconditionals, there is very little discussion of their proper interpretation. This paper argues that any plausible interpretation of the fit_–_value biconditionals must disarm several kinds of apparent counterexample. For instance, that an achievement is pride-worthy doesn’t imply it is fitting for me to take pride in it because the achievement might not be mine or that of anyone close to me; that a joke is amusing doesn’t imply it is fitting for me to be amused by it for six straight months; and that a person is loveable doesn’t imply it is fitting for me to love him romantically because that person might be my sibling. We consider possible responses to such counterexamples and develop what we consider the most promising interpretation of the biconditionals. The upshot is that certain widespread assumptions about fit and its relation to value and reasons should be reconsidered. (shrink)

With the shortage of physicians and surgeons and increase in demand worldwide due to situations such as the COVID-19 pandemic, there is a growing interest in finding solutions to help address the problem. A solution to this problem would be to use neurotechnology to provide them augmented cognition, senses and action for optimal diagnosis and treatment. Consequently, doing so can negatively impact them and others. We argue that applying neurotechnology for human enhancement in physicians and surgeons can cause injustices, and (...) harm to them and patients. In this paper, we will first describe the augmentations and neurotechnologies that can be used to achieve the relevant augmentations for physicians and surgeons. We will then review selected ethical concerns discussed within literature, discuss the neuroengineering behind using neurotechnology for augmentation purposes, then conclude with an analysis on outcomes and ethical issues of implementing human augmentation via neurotechnology in medical and surgical practice. (shrink)

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with 97.50 (...) % accuracy. The factor of DriveTrain has the most influence on MPG_City evaluation. Similar studies can be carried out for the evaluation of other characteristics of cars. (shrink)