The world's leading cause of morbidity and death is cardiovascular diseases (CVD), which makes early detection essential for successful treatments. This study investigates how optimization techniques can be used with machine learning (ML) algorithms to forecast cardiovascular illnesses more accurately. ML models can evaluate enormous datasets by utilizing data-driven techniques, finding trends and risk factors that conventional methods can miss. In order to increase prediction accuracy, this study focuses on adopting different machine learning algorithms, including Decision Trees, Random Forest, Support (...) Vector Machines, and Neural Networks, that have been tuned using strategies including hyper parameter selection, crossvalidation, and feature selection. (shrink)

Data preparation, feature engineering, model training, and performance evaluation are all part of the study methodology. To ensure reliable and broadly applicable models, we utilize optimization techniques like Grid Search and Genetic Algorithms to precisely adjust model parameters. Features including age, blood pressure, cholesterol levels, and lifestyle choices are employed as inputs for the machine learning models in the dataset, which consists of patient medical information. The predictive capacity of the model is evaluated using evaluation measures, such as accuracy, precision, (...) recall, F1-score, and the area under the ROC curve (AUC-ROC). Our findings show that improved machine learning models perform better than conventional methods, offering trustworthy forecasts that can help medical practitioners with early diagnosis and individualized treatment planning. In order to achieve even higher predicted accuracy, the study's conclusion discusses the significance of its findings for clinical practice as well as future improvements that might be made, like adding wearable device data in real-time or investigating deep learning techniques. (shrink)

Data preparation, feature engineering, model training, and performance evaluation are all part of the study methodology. To ensure reliable and broadly applicable models, we utilize optimization techniques like Grid Search and Genetic Algorithms to precisely adjust model parameters. Features including age, blood pressure, cholesterol levels, and lifestyle choices are employed as inputs for the machine learning models in the dataset, which consists of patient medical information. The predictive capacity of the model is evaluated using evaluation measures, such as accuracy, precision, (...) recall, F1-score, and the area under the ROC curve (AUC-ROC). Our findings show that improved machine learning models perform better than conventional methods, offering trustworthy forecasts that can help medical practitioners with early diagnosis and individualized treatment planning. (shrink)

Nobody claims to be a proponent of white feminism, but according to the critique presented in this article, many in fact are. I argue that feminism that does not take multiple axes of oppression into account is bad in three ways: it strategically undermines solidarity between women; it risks inconsistency by advocating justice and equality for some women but not all; and it impedes the ultimate function of feminism function by employing epistemological “master’s tools” that stand in antithesis to feminist (...) emancipatory work. In investigating ethnocentrism in feminism, I develop the idea of latent ethnocentrism, which occupies the space between meaning that is generated from reference to the self and overt racism. I identify an epistemological prong in the ethnocentrism charge against feminism, where I draw on bell hooks’ interlocking axes-model of oppression to answer why the ethnocentrism problem is important for feminism and what its underlying epistemological causes are. I draw on Uma Narayan’s destabilization of cultural dualisms to argue that they do not serve emancipatory agendas. There is a mutually constitutive relation between language that informs our understanding, on the one hand, and the political agendas that produce this language to sustain the male and the western norm as center, on the other hand. I call this circular and reciprocally reinforcing mechanism the episteme-politic. I conclude that the ethnocentrism problem is not merely an issue of strategy or feminist consistency but of shooting oneself in the foot by uncritically accepting patriarchal concepts for feminist politics. (shrink)

The mind is not structured anatomically, as emphasized by modern pathology. Instead, it is expanded as a whole in a subtle form behind the physical body. In the Indian system of medical philosophy, the mind is considered as the astral nerves made third body, which identified as the ‘Manomaya-sharira’ (subconscious mind). The mind is composed of millions of astralnadis, through which Pranic-energies circulate freely into the astral anatomy of mind. Seven-chakras are found parallel to the spine, serving as the major (...) seven innovation centres in the body. These Chakras facilitate the connection of the mind with the seven dimensions of the inner world. From these dimensions the Pranic-energies including Sattva, Raja, Tama are exported to the mind and its Nadi-tantras, influencing both the outer and inner subconscious minds. Subsequently, these elements, viz., Sattva, Raja and Tama are thrown from the mind to the outer world through the seven sense organs, manifesting as either constructive or destructive activities. Thus the mind exists due to ‘Prana’, (energy of Omkara) which increases through deeper meditation, sound sleep, and breathing exercises (O2). The positional behaviour of the mind shifts according to the physical and mental temperament, namely Triguna and Tridosha, or Panchavikara. The negative energy (Tama-guna) of the fourth dimension enters the astral Nadis-system of the mind via the interspace of the solar plexus, which crushes the mind’s structures, and consequently, all the Chakras are corrupted and the Nadis are blocked, so it generates a break in the circulation of ‘Prana’ into the Nadis. As a result, many socio-economic challenges and psychosomatic disorders occur. (shrink)

På mange måter er dette en bok som blir utgitt alt for sent. Det er den første antologien av sitt slag, og retter fokus på kvinnelige metafysikere som virket i den tidlige moderne perioden (16. og tidlig 17. århundre). Redaktør Emily Thomas skriver i introduksjonen at til tross for at flere antologier om moderne metafysikk allerede finnes, er kvinnelige filosofer fortsatt underrepresentert og den filosofiske kanon mannsdominert. De ni filosofene som blir omtalt i totalt 13 kapitler var alle originale og (...) velkjente tenkere i sin samtid, men har blitt glemt i filosofihistoriens løp. (shrink)

In the chapter “Emancipatory Engagement with Oppression: The Perils of Identity in Feminist and Anti-Racist Politics” Oda Davanger argues against basing emancipatory struggles on identity categories. According to Davanger, conceptualizing oppression in terms of different axes, i.e. identity categories, can be harmful to feminist philosophy and ideology since it contri- butes to upholding whiteness and maleness as norms and there- fore fails to “dismantle the system of domination”. In opposition to different versions of identity politics and the analytical and political (...) concept of intersectionality, Davanger complements bell hooks’ notion of imperialist white supremacist capitalist patriarchy with a post-structuralist perspective. Davanger’s answer to feminist and anti-racist struggles based on identity categories is a politics that is built around an “abstract and alienated desire” that makes possible engaging in the struggle for a world without oppression based on identity, regardless of individuals’ own experience of oppression. (shrink)

COVID-19 pandemic caused by novel coronavirus is continuously spreading until now all over the world. The impact of COVID-19 has fallen on almost all sectors of development. The healthcare system is going through a crisis. Many precautionary measures have been taken to reduce the spread of this disease where wearing a mask is one of them. In this paper, we propose a system that restricts the growth of COVID-19 by finding out people who are not wearing any facial mask in (...) a smart city network where all the public places are monitored with Closed-Circuit Television (CCTV) cameras. While a person without a mask is detected, the corresponding authority is informed through the city network. A deep learning architecture is trained on a dataset that consists of images of people with and without masks collected from various sources. The trained architecture achieved 98.7% accuracy on distinguishing people with and without a facial mask for previously unseen test data. It is hoped that our study would be a useful tool to reduce the spread of this communicable disease for many countries in the world. (shrink)

There is no doubt that custard apple diseases are among the important reasons that destroy the Custard Apple plant and its agricultural crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases is a good step to provide the appropriate and correct treatment. Determining the treatment with high accuracy depends on the method used to correctly diagnose the disease, expert systems can greatly help in avoiding damage to these plants. The expert system correctly diagnoses (...) Custard Apple disease to make it easier for farmers to find the right treatment based on the appropriate diagnosis. Objectives: A specialized syllable language system was established for the diagnosis of Custard Apple plant disease. (shrink)

Background: A bean is the seed of one of several genera of the flowering plant family Fabaceae, which are used as vegetables for human or animal food. They can be cooked in many different ways, including boiling, frying, and baking, and are used in many traditional dishes throughout the world. Beans are one of the longest-cultivated plants. Broad beans, also called fava beans, in their wild state the size of a small fingernail, were gathered in Afghanistan and the Himalayan foothills. (...) In a form improved from naturally occurring types, Beans were an important source of protein throughout old and new world history, and still are today. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment. Methods: In this paper, the design of the proposed Expert System was produced to help farmers and those interested in agriculture in diagnosing many of the Bean diseases such as Fusarium wilt, Charcoal rot or ashy stem blight, Bacterial leaf spot and blight, Mung bean yellow mosaic virus, Cercospora leaf spot. The proposed expert system presents an overview of Bean diseases are given, the cause of diseases outlined and the treatment of disease whenever possible is given out. CLIPS Expert System language was used for designing and implementing the proposed expert system. Results: The proposed Bean diseases diagnosis expert system was evaluated by Agricultural experts and some friends interested in agriculture and they were satisfied with its performance. Conclusions: The proposed expert system is very useful for Farmers and those interested in agriculture. (shrink)

How does consciousness vary across the animal kingdom? Are some animals ‘more conscious’ than others? This article presents a multidimensional framework for understanding interspecies variation in states of consciousness. The framework distinguishes five key dimensions of variation: perceptual richness, evaluative richness, integration at a time, integration across time, and self-consciousness. For each dimension, existing experiments that bear on it are reviewed and future experiments are suggested. By assessing a given species against each dimension, we can construct a consciousness profile for (...) that species. On this framework, there is no single scale along which species can be ranked as more or less conscious. Rather, each species has its own distinctive consciousness profile. (shrink)

The primary aim of this research was to investigate the intricate relationship between the structural elements of experiences and their essential role in meaning formation. The analysis focused on understanding the nature of mental representations and the subjective, phenomenal qualities that emerge within experiences. To achieve this, an integrated approach, combining cognitive semantics with phenomenological analysis, was employed to examine the compositional complexities of the dynamic interaction between a priori and immediate experiences and their significance in meaning formation. The study (...) highlights the interconnectivity of structural elements within experience as a critical factor in shaping the phenomenal qualities of mental representations. Another key contribution of this study is the introduction of the “fulfiller” concept, which underscores the importance of absent qualities in meaning formation-an often-overlooked aspect in traditional models that focus solely on present attributes. The “fulfiller” concept emphasizes how absence, in addition to presence, influences meaning assignment. This inclusion enhances our understanding of meaning formation by considering both the tangible and intangible dimensions of the experiential-intentional process, offering a more comprehensive framework for understanding how meaning emerges from the complex interaction of present and absent qualities. (shrink)

Abstract: The integration of Artificial Intelligence (AI) into medical imaging represents a transformative shift in healthcare, offering significant improvements in diagnostic accuracy, efficiency, and patient outcomes. This paper explores the application of AI technologies in the analysis of medical images, focusing on techniques such as convolutional neural networks (CNNs) and deep learning models. We discuss how these technologies are applied to various imaging modalities, including X-rays, MRIs, and CT scans, to enhance disease detection, image segmentation, and diagnostic support. Additionally, the (...) paper addresses the challenges faced in AI-driven medical imaging, including data quality, model interpretability, and ethical considerations. By examining recent advancements and real-world case studies, this paper provides insights into the current state of AI in medical imaging and its potential future directions. The findings highlight the ongoing evolution of AI technologies and their crucial role in advancing medical diagnostics and treatment strategies. (shrink)

The ongoing pandemic caused by COVID-19 virus has paralysed everyday life across the globe. To limit spread of infection, the Government of various countries issued a Nation-wide lockdown, with increase in COVID cases, more and more biomedical wastes were also produced. With a halt in manufacturing industries and automobiles plying, air pollution levels drops drastically and rare animal sightings were recorded by the media. Water Pollution levels were also recorded to be on the down trend.

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)

Securing sensitive files stored on cloud servers presents a paramount challenge in today's digital landscape, demanding a robust file auditing mechanism that transcends traditional methods. This paper introduces an innovative approach to file auditing in cloud environments, distinguished by the integration of secure download key notifications with login processes. Unlike conventional file auditing techniques that primarily focus on monitoring file activities, this proposed solution recognizes the critical need for securely tracking file downloads. To address this gap, we present a sophisticated (...) system that not only comprehensively audits file activities but also seamlessly integrates with login processes to provide secure download key notifications. By bridging the gap between file auditing and user authentication, our solution enhances the security posture of cloud-based file storage systems, empowering organizations to safeguard their sensitive data effectively. Through detailed analysis and evaluation, we demonstrate the efficacy and practicality of our approach in enhancing the security and integrity of sensitive files stored on cloud servers. (shrink)

Researchers and practitioners are increasingly using machine‐generated synthetic data as a tool for advancing health science and practice, by expanding access to health data while—potentially—mitigating privacy and related ethical concerns around data sharing. While using synthetic data in this way holds promise, we argue that it also raises significant ethical, legal, and policy concerns, including persistent privacy and security problems, accuracy and reliability issues, worries about fairness and bias, and new regulatory challenges. The virtue of synthetic data is often understood (...) to be its detachment from the data subjects whose measurement data is used to generate it. However, we argue that addressing the ethical issues synthetic data raises might require bringing data subjects back into the picture, finding ways that researchers and data subjects can be more meaningfully engaged in the construction and evaluation of datasets and in the creation of institutional safeguards that promote responsible use. (shrink)

In this paper , the authors explore neutrosophic statistics, that was initiated by Florentin Smarandache in 1998 and developed in 2014, by presenting various examples of several statistical distributions, from the work [1]. The paper is presented with more case studies, by means of which this neutrosophic version of statistical distribution becomes more pronounced.

Chronic kidney disease (CKD) is a global health problem with high morbidity and mortality rate, and it induces other diseases. There are no obvious incidental effects during the starting periods of CKD, patients routinely disregard to see the sickness. Early disclosure of CKD enables patients to seek helpful treatment to improve the development of this disease. AI models can effectively assist clinical with achieving this objective on account of their fast and exact affirmation execution. In this appraisal, proposed a Logistic (...) relapse framework for diagnosing CKD. Proposed calculation like NAIVE BAYES , DECISION TREE , KSTAR , LOGISITIC , AND SVM and look at these calculation and get the most noteworthy precision .AI store, which has an enormous number of missing qualities. Missing characteristics are for the most part found, taking everything into account, clinical conditions since patients might miss a couple of assessments for various reasons. By separating the misjudgements delivered by the set up models and proposed a fused model that unites determined backslide and sporadic woods by using perceptron. (shrink)

The importance of the plankton is well recognized as these have vital part in food chain and play a key role in cycling of organic matter in the aquatic ecosystem. The inadequate knowledge of plankton and their dynamics is a major drawback for the better understanding of the life process of fresh water bodies. In the present investigation, total 23 species of phytoplankton and 22 species of zooplankton were also recorded. Bimodal pattern of seasonal variation of plankton was observed with (...) a primary peak in the month of July and secondary peak in January. The physico-chemical and biological conditions were found suitable for fish culture and agriculture. (shrink)

According to the literature review, there is much room for improvement of college student retention. The aim of this research is to evaluate the possibility of using deep and machine learning algorithms to predict whether students continue to attend college or will stop attending college. In this research a feature assessment is done on the dataset available from Kaggle depository. The performance of 20 learning supervised machine learning algorithms and one deep learning algorithm is evaluated. The algorithms are trained using (...) 11 features from 1000 records of previous student registrations that have been enrolled in college. The best performing classifier after tuning the parameters was NuSVC. It achieved Accuracy (91.00%), Precision (91.00%), Recall (91.00%), F1-score (91.00%), and time required for training and testing (0.04 second). Additionally, the proposed DL algorithm scored: Accuracy (93.00%), Precision (93.00%), Recall (93.00%), F1-score (93.00%), time required for training and testing (0.66 second) for predicting whether student will continue to attend college or not. (shrink)

Parkinson's Disease (PD) is a long-term degenerative disorder of the central nervous system that mainly affects the motor system. The symptoms generally come on slowly over time. Early in the disease, the most obvious are shaking, rigidity, slowness of movement, and difficulty with walking. Doctors do not know what causes it and finds difficulty in early diagnosing the presence of Parkinson’s disease. An artificial neural network system with back propagation algorithm is presented in this paper for helping doctors in identifying (...) PD. Previous research with regards to predict the presence of the PD has shown accuracy rates up to 93% [1]; however, accuracy of prediction for small classes is reduced. The proposed design of the neural network system causes a significant increase of robustness. It is also has shown that networks recognition rates reached 100%. (shrink)

• Aggregates of previously isolated cells of Hydra are capable, under suitable solvant conditions, of regeneration forming complete animals. In a first stage, ecto- and endodermal cells sort out, producing the bilayered hollow structure characteristic of Hydra tissue; thereafter, heads are formed (even if the original cell preparation contained no head cells), eventually leading to the separation of normal animals with head, body column and foot. Hydra appears to be the highest type of organism that allows for regeneration of the (...) entire structure from random cell aggregates. The system is particularly useful for studying cell interactions, tissue polarity, pattern formation, and cell differentiation. (shrink)

The study aimed to identify the strategic sensitivity and its impact on enhancing the creative behavior of Palestinian NGOs in Gaza Strip, and the study used the descriptive analytical approach and the questionnaire as a main tool for collecting data from employees of associations working in Gaza Strip governorates, and the cluster sample method was used and the sample size reached (343) individuals (298) questionnaires were retrieved, and the following results were reached: The relative weight of strategic sensitivity was 79.22 (...) (%), and the relative weight of creative behavior was 78.99 (%), a statistically significant relationship between all strategic sensitivity and creative behavior, and the presence of a sensitivity effect The strategy’s strategy on creative behavior, there are statistically significant differences in the scale dimensions attributable to the gender variable and the differences were in favor of females, there are no statistically significant differences between the averages of strategic sensitivity due to the age variable, and the educational qualification, and there were no statistically significant differences in creative behavior according to The gender variable, age, educational qualification, specialization, and the study presented a set of recommendations, the most important of which are: the need for civil organizations in Gaza Strip to seek funding from external countries in order to provide self-income for associations to face crises and give them independence Mechanism in order to keep them to carry out their role in society, the need to follow up the strategic plan of civil organizations using e-mails as they pave the way to reach excellence and creativity in the field of work. (shrink)

The study aimed to identify creative behavior and its impact on achieving Lean strategy in Palestinian civil organizations. The study used the descriptive analytical approach and the questionnaire as a main tool for collecting data from employees of associations operating in the governorates of Gaza Strip. The cluster sample method was used and the sample size was (343) individuals. Retrieving (298) questionnaires, and the following results were reached: The relative weight of the measure of Lean strategy was 79.04 (%), and (...) the relative weight of the measure of creative behavior was 78.99 (%), and there was a statistically significant relationship between creative behavior and Lean strategy, and the presence of an effect of creative behavior on Achieving Lean strategy, the absence of statistically significant differences in creative behavior according to the gender variable, age group, educational qualification, specialization, and the presence of statistically significant differences in Lean strategy attributable to the gender variable in dimensions (strategic sensitivity, clarity of vision, choice of strategic goals, Response speed, action) and differences were in favor of females. While there were no statistically significant differences in my dimension (shared responsibility, core capabilities) due to the gender variable, there were no statistically significant differences between the mean dimensions of Lean strategy due to the age group variable, the educational qualification, and the study presented a set of recommendations, the most important of which are: the necessity of seeking civil organizations In Gaza Strip, by obtaining funding from external countries to provide self-income for associations to face crises and give them independence in order to preserve them to carry out their role in society, the need to work to follow up on the strategic plan for NGOs using electronic messages as they pave the way to reach excellence and creativity in the field of work, The necessity of holding meetings and workshops with the local community, and this helps them to define the community's needs. (shrink)

This introduction to the Journal of Business Research special issue on anti-consumption briefly defines and highlights the importance of anticonsumption research, provides an overview of the latest studies in the area, and suggests an agenda for future research on anti-consumption.

Abstract: The study aimed to identify the reality of the application of strategic agility in the Palestinian civil organizations in Gaza Strip, and the concept of strategic agility has included a number of areas which are (strategic sensitivity, clarity of vision, choice of strategic goals, rapid response, joint responsibility, taking actions, core capabilities) and the study used An analytical descriptive approach, and the questionnaire as a main tool for collecting data from the employees of the associations operating in the governorates (...) of Gaza Strip. The relative weight of the strategic agility scale reached (79.04 %), and there were statistically significant differences in the dimensions of the measure due to the gender variable in the dimensions of strategic agility (strategic sensitivity, clarity of vision, choice of strategic goals, rapid response, and taking measures) and the differences were in favor of females . While there were no statistically significant differences in my dimension (shared responsibility, core capabilities) attributable to the gender variable, there were no statistically significant differences between the mean dimensions of strategic agility due to the age group variable, the educational qualification, and the study presented a set of recommendations, the most important of which are: the necessity of seeking civil organizations In Gaza Strip, by obtaining funding from external countries in order to provide associations with self-income to face crises and give them independence in order to preserve them in order to play their role in society, the need to follow up on the strategic plan for NGOs using electronic messages where It paves the way to reach excellence and creativity in the field of work, the need to hold meetings and workshops with the local community and this helps them to define the needs of society. (shrink)

Abstract: The study aimed to identify the procedures and speed of response and their role in improving the creative behavior of Palestinian NGOs. The study used the descriptive analytical approach and the questionnaire as a main tool for collecting data from employees of associations operating in Gaza Strip governorates, and the cluster sample method was used and the sample size reached (343) individuals. (298) questionnaires were retrieved, and the following results were reached: The relative weight of the field of taking (...) measures reached (77.33%), and the relative weight of the field of response speed reached (78.66%) and the relative weight of the creative behavior was 78.99 (%), and the results also showed a relationship Statistically significant of me For adopting the procedures and speed of response and creative behavior, and the presence of the effect for adopting procedures and speed of response to the creative behavior, and there are differences statistically significant in scale dimensions due to the variable gender in (response speed, take action) and the differences in favor of females. There were no statistically significant differences attributable to the variable of the age group and the educational qualification, and there were no statistically significant differences in the creative behavior according to the variable of gender, age group, educational qualification, specialization, and the study presented a set of recommendations the most important of them: the necessity of civil organizations in Gaza Strip to obtain Funding from foreign countries in order to provide associations with self-income to face crises and give them independence in order to preserve them in order to play their role in society. The necessity of holding meetings and workshops with the local community, and this helps them determine the needs of society. (shrink)

Abstract: The study aimed to identify the creative behavior in the Palestinian civil organizations between reality and expectations, and the study used the descriptive analytical approach and the questionnaire as a main tool for collecting data from employees of associations operating in the governorates of Gaza Strip, and the cluster sample method was used and the sample size was (343) individuals and has been recovered (298) Resolution. The following results were reached: The relative weight of the measure of creative behavior (...) was 78.99 (%), and there were no statistically significant differences in creative behavior according to the gender variable, age group, educational qualification, specialization, while the results indicated that there were differences according to the number of years of service. The study presented a set of recommendations, the most important of which are: the necessity of working to follow up the strategic plan for NGOs using electronic messages as it paves the way for achieving excellence and creativity in the field of work, the need to hold meetings and workshops with the local community and this helps them determine the needs of the community. (shrink)

Stable and efficient function approximation methods in model-based reinforcement education (MBRL) have proven to be a persistent challenge, despitethe topic's expanding popularity. We offer an original structure to make the real-world difficulties in MBRL more understandable and to streamline algorithmic design at a higher abstraction level. In this way, MBRL is thought of as a two-person game: The policy player maximizes rewards by applying the learned model. The goal of the model player is to accurately reproduce the empirical facts that (...) the policy player has gathered. We show that an approximate equilibrium in this game may be found, leading to a near-optimal strategy for the environment. Towards this goal, we provide two families of algorithms that draw inspiration from ideas found in Stackelberg games. Test results show that our suggested methods equal the overall efficacy of model-free policy gradient approaches and attain state-of-the-art sample efficiency. Moreover, these algorithms show a seamless transfer to extremely complex tasks such as deft hand manipulation. (shrink)

Many accounts of the morality of abortion assume that early fetuses must all have or lack moral status in virtue of developmental features that they share. Our actual attitudes toward early fetuses don’t reflect this all-or-nothing assumption: early fetuses can elicit feelings of joy, love, indifference, or distress. If we start with the assumption that our attitudes toward fetuses reflect a real difference in their moral status, then we need an account of fetal moral status that can explain that difference. (...) I argue that we can have or lack relational obligations to early fetuses in light of our own activities or choices, independent of the fetus’s own features or properties. Those relational obligations make the early fetus morally considerable to the persons who stand in a moral relation to it. Pregnant persons (and other participants in the procreative process) can come to have relational obligations to an early fetus just in virtue of their own decision to create a person, either by intentionally getting pregnant or by deciding to continue a pregnancy. That decision not only makes it appropriate for them to care about the fetus, but it also generates obligations to the fetus that they didn’t have before that decision. (shrink)

The aim of the research is to identify the reality of the practice of crisis management in light of The Corona Pandemic, and to achieve the research objectives, the researchers used the descriptive and analytical approach using the comprehensive survey method for the total research community, which numbered (110) individuals, while (90) were recovered: That the level of crisis management practice came with a relative weight (75.60%). Among the most important recommendations made by the research: Work to disburse a health (...) risk premium to all workers in health centers, in addition to paying attention to training and building work teams in various fields, including the crisis team. (shrink)

Abstract: The aim of the research is to identify the reality of the quality of health services in light of the Corona Pandemic, and in order to achieve the research objectives, the researchers used the descriptive and analytical approach using a comprehensive survey method for the total research community, whose number reached (110) individuals, while (90) were recovered: The level of health service quality is of relative weight (76%). Among the most important recommendations made by the research: Work to pay (...) a health risk premium to all workers in health centers, in addition to paying attention to training and building work teams in various fields to improve the quality of health services provided. (shrink)

The present study was an attempt to access and evaluate the status and distribution of waders associated to wetlands of Ujani Reservoir with special reference to north - west region. Waders are the birds generally observed along shorelines and mudflats that wade in order to forage for food in mud or sand. Ujani wetlands provide feeding and roosting grounds for resident and migratory waders. This study was conducted from December 2015 to November 2017 including seasonal visits to five wetland sites (...) i.e. Kumbhargaon, Diksal, Kondhar-Chincholii, Rajegaon (Bhigwan) and Khanota. During study, about 38 species of waders were identified belonging to 14 families viz. Ardeidae, Charadriidae, Ciconiidae, Jacanidae, Laridae, Rallidae, Motacillidae, Phalacrocoracidae, Phoenicopteridae, Recurvirostridae, Rostratulidae, Scolopacidae, Threskiornithidae and Glariolidae. (shrink)

Deep learning may transform health care, but model development has largely been dependent on availability of advanced technical expertise. The aim of this study is to develop a deep learning model to predict the gender from retinal fundus images. The proposed model was based on the Xception pre-trained model. The proposed model was trained on 20,000 retinal fundus images from Kaggle depository. The dataset was preprocessed them split into three datasets (training, validation, Testing). After training and cross-validating the proposed model, (...) it was evaluated using the testing dataset. The result of testing, the area under receiver operating characteristic curve (AUROC) of the model was 0.99, precision, recall, f1-score and accuracy were 99%, precision, recall, f1-score and accuracy were 96.83%, 96.83%, 96.82% and 96.83% respectively.. Clinicians are presently unaware of dissimilar retinal feature variants between females and males, stressing the importance of model explain ability for the prediction of gender from retinal fundus images. The proposed deep learning may enable clinician-driven automated discovery of novel visions and disease biomarkers. (shrink)

The development of mankind and its concrete manifestations in technical, economic or other spheres is always determined by contradictions, uncertainty and the emergence of non-standard circumstances. At the beginning of the third millennium the world is characterized by acceleration of economic dynamics and complication of the mega environment, which requires mastering the realities of the present and the future. Exactly this problem that necessitates the definition of the Concept and priorities of the direction of socio-economic policy in Ukraine and conducting (...) further research in the field of developing the application framework for their implementation. Definition and development of the paradigm of socio-economic development of Ukraine in the XXI century will create an opportunity to reveal socio-economic and human potential. (shrink)

Coronavirus disease 2019 (COVID-19) is an infectious disease that causes respiratory illness in human and has now become a major challenge for all over the world. In spite of all their efforts to restore the nature during the last few decades, humans could only move a few steps forward. But during the last few months, consequences of the COVID-19 Pandemic have successfully recovered the environment to a large extent that should definitely set positive impact on global climate change. The COVID-19 (...) spread around the world and severely affected the world's education, economy, social interactions and other global impacts. We have come across one of the most daunting problems of the modern times, which is, educational crisis. One of the many challenges faced by the students due to COVID-19 is loss of learning. Distance learning has been a failure throughout this period, due to the fact that the educators are unsupported and they lack the practical experience of teaching online through technology. On the other hand, not all students have the technology infrastructure at home to support their ongoing learning. Many of them are economically backward and find it difficult to support their education without internet or a learning tablet. (shrink)

Comparing the degree of openness of the economy of Poland and the Netherlands, we can say the following. The Netherlands is more dependent on foreign trade than Poland. The Netherlands export quota reaches almost 50%, unlike 41,37% in Poland in 2016. However, Poland has become more import-dependent. Poland, in contrast to the Netherlands, is continuing to increase the indicators of "economic globalization". To date, the Netherlands has been pursuing more moderate foreign trade policy and trying to protect itself from external (...) risks by focusing on an internal market with high purchasing power. On the contrary, Polish politics tries to focus on the new markets for its products in order to increase the prosperity and well-being of its citizens. Poland as a country and an economic entity has made a qualitative leap in its development. The economy of this country has become more open and integrated into the world economy. (shrink)

Background: Persimmon is a grassy, perennial plant, belonging to the oral platoon, square-shaped leg, bifurcated, erect, and ranging in height from (10 - 201 cm). Home to Europe and Asia. The Persimmon plant has many benefits, the most important of which are pain relief, treatment of gallbladder disorders, the expulsion of gases, anti-inflammatory, and relaxing nerves. While the Persimmon plant is the ideal option for the start of gardens, it is prone to some common diseases that affect the plant's growth. (...) Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment. Methods: In this paper, the design of the proposed Expert System was produced to help Farmers and those interested in agriculture in diagnosing many of the Persimmon diseases such as Persimmon rust, Verticillium wilt, Anthracnose, Powdery mildew, Black Stem Rot, Stem and stolon canker, Septoria leaf spot. The proposed expert system presents an overview of Persimmon diseases are given, the cause of diseases outlined and the treatment of disease whenever possible is given out. CLIPS Expert System language was used for designing and implementing the proposed expert system. Results: The proposed Persimmon diseases diagnosis expert system was evaluated by Agricultural Students at AL Azhar University and some friends interested in agriculture and they were satisfied with its performance. Conclusions: The proposed expert system is very useful for Farmers and those interested in agriculture. (shrink)

The utilization of machine learning optimization methods is of utmost importance in the identification of liver tumors, attracting considerable interest in this domain. After obtaining a liver tissue sample, magnetic resonance imaging (MRI), computed tomography (CT), and ultrasonography (US) are used as imaging techniques to separate the tumor and liver. Nevertheless, the utilization of shades of gray and forms is insufficient for achieving accurate segmentation in computed abdominal CT images, mostly because of the presence of overlapping intensities and the unpredictable (...) placements and shapes of soft tissues. The results demonstrate that our proposed technique outperforms previous state-of-the-art models in terms of overall accuracy in tumor identification. The 2D Convolutional Neural Network (CNN) model had a remarkable training accuracy of 96.47%, while the auto-encoder network closely followed with an accuracy of 95.63%. In addition, the 2D CNN network exhibited an impressive average recall rate of 95%, beating the auto-encoder network's rate of 94%. The ROC curve regions for both networks exhibited remarkable performance, with values ranging from 0.99 to 1. Out of the many machine learning approaches used, the ResUNet had the least accurate results, while the K-Nearest Neighbors (KNN) achieved the greatest accuracy rate of 86%. Conversely, the MLP demonstrated a paltry accuracy rate of about 28%. The statistical tests conducted in this study indicated a significant difference (p-value < 0.05) between the suggested approach and many existing machine learning algorithms. (shrink)

In this article, we develop a new approach to integrating philosophical phenomenology with qualitative research. The approach uses phenomenology’s concepts, namely existentials, rather than methods such as the epoché or reductions. We here introduce the approach to both philosophers and qualitative researchers, as we believe that these studies are best conducted through interdisciplinary collaboration. In section 1, we review the debate over phenomenology’s role in qualitative research and argue that qualitative theorists have not taken full advantage of what philosophical phenomenology (...) has to offer, thus motivating the need for new approaches. In section 2, we introduce our alternative approach, which we call Phenomenologically Grounded Qualitative Research (PGQR). Drawing parallels with phenomenology’s applications in the cognitive sciences, we explain how phenomenological grounding can be used to conceptually front-load a qualitative study, establishing an explicit focus on one or more structures of human existence, or of our being in the world. In section 3, we illustrate this approach with an example of a qualitative study carried out by one of the authors: a study of the existential impact of early parental bereavement. In section 4, we clarify the kind of knowledge that phenomenologically grounded studies generate and how it may be integrated with existing approaches. (shrink)

This article investigates the profound mysteries of consciousness and the afterlife, which have captivated humanity for centuries. In our study, we conducted three hypothetical experiments, assuming all participants had healthy brains and minds in similar environments. We based our methodology on the premise that cell death can preserve anatomical and neural integrity (Vrselja et al., 2019). Between T1 and T2, six brains were rendered non-functional (brain death), eliminating consciousness. Participants were divided into three groups: -/- 1. Identical Triplets (Group I): (...) Individuals 'a,' 'b,' and 'c.' 2. Second Set of Identical Triplets (Group II): Individuals 'd,' 'e,' and 'f.' 3. Non-identical Triplets (Group III): Individuals 'g,' 'h,' and 'i.' -/- Uniform conditions were maintained across all groups, ensuring identical nutrients and processes. In the third experiment, we preserved the inactive brains of 'a,' 'b,' 'd,' 'e,' 'g,' and 'h' from **T1** to **T2** and created three new identical brains for each participant, resulting in twenty-seven new brains labeled ('a1' to 'i3'). The original six brains were revived, leading to a total of thirty-six participant brains in the lab. -/- Results -/- If our third experiment holds validity, it suggests that all twenty-seven artificially created brains and the revived six brains could function, resulting in thirty-six operational brains at T2. This includes the three live brains of 'c,' 'f,' and 'i.' -/- Discussion -/- Determining whose consciousness resides within the lab is practically impossible, except for 'c,' 'f,' and 'i.' For instance, if you are 'a' before *T1*, identifying which of the eleven identical brains ('a', 'a1', 'a2', 'a3', etc.) contains your consciousness at *T2* is challenging. Assuming your consciousness exists in all eleven brains post *T1* raises critical questions: Did your singular consciousness cease to exist, or did it transfer to a specific brain outside the lab? This dilemma highlights profound implications for our understanding of consciousness and identity. -/- Conclusion -/- If your existence ceased (no afterlife- discontinued 'your'-'a'- consciousness-) at T1, theoretically, "you (a)" could reappear ( at T2 ) in two or more identical brains, in the laboratory setting. However, as extensively discussed in this research, a single consciousness can't exist in multiple brains simultaneously. While there may be two, many, or even infinite identical brains in the universe/s, no one experiences( 'feel-aware' ) their consciousness in multiple places simultaneously. Although, the brain's quality and quantity continually change over time—encompassing aspects such as neurons, neurochemistry, and the biophysics of brain function—unique consciousness persists from childhood to death within a single brain. The hypothesis concerning the continuum of unique consciousness within the dynamic framework of the material brain presents a complex enigma. It posits that two unknown fundamental particles—one universally unique ( to a certain brain) and invariant and the other subject to continuous evolution—coexist within the brain throughout its functional lifespan. This coexistence may elucidate the mechanisms underlying consciousness and its persistence, despite the brain's ongoing structural and functional transformations. This simple reasoning strongly supports the high probability of life ('your' -' a') after death occurring in a single brain at T1,( outside the lab) without any passage of time. (shrink)

Though many agree that we need to account for the role that social factors play in inquiry, developing a viable social epistemology has proved to be difficult. According to Longino, it is the processes that make inquiry possible that are aptly described as "social," for they require a number of people to sustain them. These processes, she claims, not only facilitate inquiry, but also ensure that the results of inquiry are more than mere subjective opinions, and thus deserve to be (...) called "knowledge." In this paper, I (a) explain Longino's epistemology, and (b) defend it against charges that have recently been raised by Kitcher, Schmitt, and Solomon. Longino rightly recognizes that not all social factors have the same (adverse) affect on inquiry. She also recommends that we distinguish knowledge from mere opinion by reference to a social standard. (shrink)

With the growth of wireless networks and Internet resources, cloud robotics is becoming more and more popular. A prominent innovation that has gained traction is computation offloading, which gives robots more computational power by using cloud resources and parallel processing power. Nevertheless, because there are so many variables affecting performance, research on how effective computing offloading is in cloud robotics is still underway. Our research proposes a distributed cloud robotic architecture that uses Kafka middleware as a message broker to offload (...) compute in order to overcome this problem. We evaluate the performance of our solution using image processing techniques through experimental validation. Our tests show a significant decrease in the robot's CPU burden, but an anticipated rise in the robot's communication latency. (shrink)

UNRWA’s Mediation Process is a key element in the organization’s efforts to strengthen its internal justice system. The research aims to study the reality of mediator competencies, emotional intelligence and case characteristics variables, (UNRWA) Gaza. The research also aims at identifying the differences between respondents as attributed to their professional and personal traits of age, gender, educational level, distribution of department, dispute resolution experience and representation party. The researchers adopted mixed data collection methods; quantitative and qualitative. For qualitative, a semi-structured (...) interview was conducted with (9) officials including management, staff unions and expert external mediators. (63) Questionnaires were distributed to a systematic random sample population; (56) were received, with a response rate 88.9%. The results proved that there are no significant differences among respondents attributed to personal and professional traits of age, academic background, gender, department, years’ of experience, educational degree and representation party. The research has presented some recommendations concerning the factors affecting the mediation outcomes of workplace disputes resolution. The recommendations include: UNRWA should adopt mediation as a method to resolve disputes at workplace instead of following litigation before the courts, as many organizations today increasingly started to adopt mediation as a method to resolve disputes at workplace. This will help decreasing the high cost, non-flexibility, and threatening features of disputes and conflicts resolution before courts, as well as enhance the relationship between disputant parties. Mediators are essentially recommended to attend regular training such as guiding negotiation processes, employing group sessions properly, overcoming obstacles, summarizing & analytical skills and selecting emotional words and phrases, it is also important to encourage the mediation experts' training workshops and meetings. Regular training sessions will not only improve skills and abilities, but will also imply variety and flexibility. This leads to having competent qualified mediators who are able to resolve organization’s workplace disputes in a way, which satisfies the need of disputants. (shrink)

This article looks at Francis Fukuyama’s analysis of Hegel in "The End of History and the Last Man." It argues that Fukuyama’s “Last Man” thesis has been unduly neglected due to the focus on his “End of History” thesis. The “Last Man” (a term borrowed from Nietzsche) is a person who lashes out for attention because they do not receive any special, individual recognition in a society where all seem to get some level of recognition (e.g. having their basic biological (...) needs met by the welfare state, having certain rights, etc.). I argue that Fukuyama’s analysis on this topic has proved prescient. The “Last Man problem” has manifested in various ways across our culture, particularly in the context of the “Alt-Right” movement. However, I argue that Fukuyama has misread and oversimplified Hegel, who can help us to explain this phenomenon. (shrink)

In Mengzi 6A4, Gaozi states that “yì 義 (propriety, rightness) is external, not internal.” In 6A5, Meng Jizi says of yì that “...it is on the external, not from the internal.” Their defenses are met with Mengzi’s resistance. What does he perceive and resist in these statements? Focusing on several key passages, I compare six promising interpretations. 6A4 and a relevant part of 2A2 can be rendered comparably sensible under each of the six. However, what Gaozi says in 6A1 clearly (...) is evidence to Mengzi that, of the six views, Gaozi holds three although he does not convey them in his statement. As for Meng Jiz’s defense of his statement, Meng Jizi cites a special occasion where one is required to act one way even though one would feel a different way. Mengzi’s response has been traditionally interpreted as boiling down to a dissenting opinion about empirical psychology, that the agent on that special occasion would in fact feel the same way as they ought to act. But on a more charitable reading, the point Mengzi makes is conceptual: Though the satisfaction of yì may not require that the feeling and the act align perfectly in this case, cases where the alignment obtains are conceptually prior. This not only refutes Meng Jizi’s statement but also enables a more elegant explanation of why the Mengzi rightly has no record of Mengzi affirming that yì is internal. I conclude that 6A5 itself uniquely favors one interpretation, as far as Meng Jizi’s position is concerned: How one feels is irrelevant to whether one satisfies yì. (shrink)

In his lucid and helpful reply, Chris Drain (2021) clarifies some of his views and aims and offers pertinent criticisms of my own. Drain refocuses my forays into Pittsburgh Hegelianism onto Vygotsky’s own thought. He rightly notes that Brandom’s account of deontic scorekeeping tells us nothing about phylogenesis. Sellars too has little to say about the origins of language and social practice and I would endorse the projects of those who turn to Tomasello to fill such gaps (Koons 2018). However, (...) I still do not think Drain has got Vygotsky’s Hegel right. I do not think one can substitute “Hegelian” for “Janetian”, and I hope to show why this matters. -/- Drain also objects to my characterization of Tomasello as Cartesian. There is of course a long line of philosophers from Deleuze to Dennett charging all those who fall across their path with covert Cartesianism. I will not besmirch this venerable custom here. In my reply I contrast the Hegelian-Marxist approach to language of Vygotsky with the Cartesian approach of Tomasello. I conclude by suggesting some active research programmes which overcome this Cartesiansim while following the trajectories of Vygotsky’s own project. (shrink)

Abstract: The rapid advancement of artificial intelligence (AI) has catalyzed significant developments in autonomous systems, which are increasingly shaping diverse sectors including transportation, robotics, and industrial automation. This paper explores the evolution of AI technologies that underpin these autonomous systems, focusing on their capabilities, applications, and the challenges they present. Key areas of discussion include the technological innovations driving autonomy, such as machine learning algorithms and sensor integration, and the practical implementations observed in autonomous vehicles, drones, and robotic systems. Additionally, (...) the paper addresses critical challenges including safety, ethical concerns, and regulatory issues that influence the deployment and acceptance of autonomous technologies. By examining current trends and future prospects, this research aims to provide a comprehensive overview of how AI is transforming the landscape of autonomous systems and to identify key areas for future research and development. (shrink)