In accordance with the critical women’s health literature recounting the ways that women are encouraged to submit themselves to various sorts of health “imperatives”, I investigate the messages tacitly conveyed to women in “campaigns for the cure” and breast cancer awareness efforts, which, I argue, overemphasizes a “positive attitude”, healthy lifestyle, and cure rather than prevention of this life-threatening disease. I challenge that the message of hope pervading breast cancer discourse silences the despair felt by (...) many women, furthers a tacit blaming for disease infliction via a rhetoric of personal responsibility, underemphasizes other cogent health determinants like environmental toxicity, and undermines legitimate critiques of current biomedical practices like widespread mammography. While finding a cure for breast cancer is a laudable and worthwhile healthcare goal that can understandably be shared by women’s health activists, corporate sponsors, and the medical community, this paper resists the current formation of campaigns for the cure and “pink ribbon activism” in general. (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 Knowledge Based System for Diagnosing Breast Cancer is used to assist medical students to improve their education on diagnosis and counseling the process of analyzing the biopsy image of the microscope, determining the type of tumor and the treatment method for each case and identifying the disease related questions. According to the Ministry of Health in its annual report in Gaza, between 2009 and 2014 there are 7069 cases of breast cancer, and in 2014 there (...) are 1502 cases of breast cancer . We are now in the age of visual information where 65% of the populations are visual learners; the Knowledge Based System is the easiest way to ensure students remember the information in the long term, using visual and textual information. The Knowledge Based System has an easy-to-use interface to help students diagnose the disease and enhance their information about the disease; the system can be used on smart phones. This Knowledge Based System can be divided into three main parts: The first part is specific questions for the patient, to help student to know questions type. The second part is the process of analyzing the biopsy sample image, to see if the biopsy image is intact or infected. The last part is the video shows ways to treat breast cancer in the form of animation. (shrink)

Breast cancer remains a significant health concern worldwide, necessitating the development of effective diagnostic tools. In this study, we employ a neural network-based approach to analyze the Wisconsin Breast Cancer dataset, sourced from Kaggle, comprising 570 samples and 30 features. Our proposed model features six layers (1 input, 1 hidden, 1 output), and through rigorous training and validation, we achieve a remarkable accuracy rate of 99.57% and an average error of 0.000170 as shown in the image (...) below. Furthermore, our investigation identifies the most influential features in breast cancer diagnosis, shedding light on the key determinants of malignancy. Notably, we find that factors such as fractal dimension_se, symmetry worst, compactness_worst, symmetry_se, and smoothness_se play pivotal roles in distinguishing between benign and malignant cases. This research contributes to the ongoing efforts to enhance breast cancer diagnosis, providing valuable insights into feature importance and showcasing the potential of neural networks in medical applications. Our findings have implications for improving early detection and treatment strategies, ultimately contributing to improved patient outcomes. (shrink)

The “Expert System for Diagnosing Breast Cancer" is used to assist medical students to improve their education on diagnosis and counseling the process of analyzing the biopsy image of the microscope, determining the type of tumor and the treatment method for each case and identifying the disease related questions. According to the Ministry of Health in its annual report in Gaza, between 2009 and 2014 there are 7069 cases of breast cancer, and in 2014 there are (...) 1502 cases of breast cancer . We are now in the age of visual information where 65% of the populations are visual learners; the expert system is the easiest way to ensure students remember the information in the long term, using visual and textual information. The expert system has an easy-to-use interface to help students diagnose the disease and enhance their information about the disease; the system can be used on smart phones. This expert system can be divided into three main parts: The first part is specific questions for the patient, to help student to know questions type. The second part is the process of analyzing the biopsy sample image, to see if the biopsy image is intact or infected. The last part is the video shows ways to treat breast cancer in the form of animation. (shrink)

Abstract—Breast cancer is considered the second most common cancer in women compared to all other cancers. It is fatal in less than half of all cases and is the main cause of mortality in women. It accounts for 16% of all cancer mortalities worldwide. Early diagnosis of breast cancer increases the chance of recovery. Data mining techniques can be utilized in the early diagnosis of breast cancer. In this paper, an academic experimental (...) breast cancer dataset is used to perform a data mining practical experiment using the Waikato Environment for Knowledge Analysis (WEKA) tool. The WEKA Java application represents a rich resource for conducting performance metrics during the execution of experiments. Pre-processing and feature extraction are used to optimize the data. The classification process used in this study was summarized through thirteen experiments. Additionally, 10 experiments using various different classification algorithms were conducted. The introduced algorithms were: Naïve Bayes, Logistic Regression, Lazy IBK (Instance-Bases learning with parameter K), Lazy Kstar, Lazy Locally Weighted Learner, Rules ZeroR, Decision Stump, Decision Trees J48, Random Forest and Random Trees. The process of producing a predictive model was automated with the use of classification accuracy. Further, several experiments on classification of Wisconsin Diagnostic Breast Cancer and Wisconsin Breast Cancer, were conducted to compare the success rates of the different methods. Results conclude that Lazy IBK classifier k-NN can achieve 98% accuracy among other classifiers. The main advantages of the study were the compactness of using 13 different data mining models and 10 different performance measurements, and plotting figures of classifications errors. (shrink)

Breast cancer is the leading cause of death among women with cancer. Computer-aided diagnosis is an efficient method for assisting medical experts in early diagnosis, improving the chance of recovery. Employing artificial intelligence (AI) in the medical area is very crucial due to the sensitivity of this field. This means that the low accuracy of the classification methods used for cancer detection is a critical issue. This problem is accentuated when it comes to blurry mammogram images. (...) In this paper, convolutional neural networks (CNNs) are employed to present the traditional convolutional neural network (TCNN) and supported convolutional neural network (SCNN) approaches. The TCNN and SCNN approaches contribute by overcoming the shift and scaling problems included in blurry mammogram images. In addition, the flipped rotation-based approach (FRbA) is proposed to enhance the accuracy of the prediction process (classification of the type of cancerous mass) by taking into account the different directions of the cancerous mass to extract effective features to form the map of the tumour. The proposed approaches are implemented on the MIAS medical dataset using 200 mammogram breast images. Compared to similar approaches based on KNN and RF, the proposed approaches show better performance in terms of accuracy, sensitivity, spasticity, precision, recall, time of performance, and quality of image metrics. (shrink)

Objective: The use of neoadjuvant chemotherapy (NACT) in breast cancer is increasing. The management of locally advanced breast cancer differs due to the approach of the center to which the patient applied and the approach of the following physician. From this point of view, we aimed to evaluate the real life data of our region. -/- Methods: The study included 106 patients treated with neoadjuvant chemotherapy in the medical oncology clinic of two different university hospitals. Association (...) between clinicopathological features and pathological complete response (pCR) were analyzed. -/- Results: The pCR rate was higher in patients with negative hormone receptors and this difference was statistically significant (p:0.000). The rate of obtaining pCR increased as the NACT duration increased, and this increase was statistically significant. The mean NACT duration applied to the patients with pCR was 5.48 ± 0.22 months, and the mean NACT duration for those who could not obtain pCR was 5.01 ± 0.1 months (p:0.041). The recurrence rate of patients with pCR was 11.1%, while the recurrence rate of patients who could not obtain pCR was 31.6% (p:0.04). -/- Conclusions: Pathological response to chemotherapy is an important factor in determining prognosis. There appears to be a need for new biomarkers that allow the prediction of pCR and long-term outcomes. (shrink)

Iniaalok ng pag-aaral na ito ang isang panunuring Foucauldian sa pangkasariang karanasan ng babaeng may breast cancer (BRCA). Inihahain din ng mga may-akda ang mga sumusunod na tanong: Paano naaapi ang babaeng may BRCA? Paano hinahamon ng kanyang karanasan ang konsepto ng seksuwalidad? Maaari bang ituring ang kanyang karanasan bilang anyo ng pagbalikwas? Tutugunan ng mga may-akda ang naturang mga tanong gamit ang kapangyarihan-diskurso-seksuwalidad ni Foucault habang ipinapalagay na: (1) matagumpay na naipapakita ng talaangkanan ng seksuwalidad ni Foucault (...) kung paanong ang seksuwalidad, bilang isang diskursibong kontrak, ay ginagamit bilang isang teknik ng pangongontrol, at (2) nabibigyan tayo ni Foucault ng isang paraan ng pag-unawa sa kung papaano tumutugon ang indibidwal sa iba’t ibang sistema ng kontrol, maging ng isang balangkas na makapagpapaliwanag sa maraming relasyong pangkapangyarihan na siyang tumutukoy sa moda ng pag-iral ng indibidwal. Nahahati ang papel na ito sa tatlong pangunahing bahagi: (1) Ang Panunuring Feminista ng Sabjek na Foucauldian, (2) Ang Pangkasariang Karanasan ng Babaeng may BRCA, at (3) Pagbalikwas bilang Diskurso-Konstrak at Binuong Tugon. (shrink)

Over the past year, technology companies have made headlines claiming that their artificially intelligent (AI) products can outperform clinicians at diagnosing breast cancer, brain tumours, and diabetic retinopathy. Claims such as these have influenced policy makers, and AI now forms a key component of the national health strategies in England, the United States, and China. While it is positive to see healthcare systems embracing data analytics and machine learning, concerns remain about the efficacy, ethics, and safety of some (...) commercial, AI health solutions. This paper argues that improved regulation and guidance is urgently required to mitigate risks, ensure transparency and best practice, Without this, patients, clinicians, and other stakeholders cannot be assured of an app’s efficacy, and safety. (shrink)

Objective: In this study, we aimed to identify patients at risk of chemotherapy-induced cardiotoxicity with a simple method like platelet-to-lymphocyte ratio (PLR) before starting therapy. Method: A total of 65 breast cancer patients who completed anthracycline or adjuvant trastuzumab treatment were evaluated retrospectively. Serial PLR calculations, echocardiographic examinations, and cardiac markers before treatment and after follow-up period were analyzed. Cardiotoxicity was determined according to Cardiac Review and Evaluation Committee Criteria. Results: Patients were divided into two groups according to (...) their baseline PLR levels as Group C—PLR < 119 and Group D—PLR 120. The median follow-up of the study was 22.23 (12-42) months. Concomitant disease and baseline characteristics were similar in both groups. Symptomatic cardiotoxicity was not observed in both groups. Cardiotoxicity was occurred in one patient (2.3%) in Group C and in four patients (9.5%) in Group D (P ¼ .005). Average mean left ventricular ejection fraction loss from baseline was 10.7 6 7.0% in Group D vs 2.3 6 6.4% in Group C (P ¼ .008). Interpretation of cardiac markers that were present in nearly half of the patients revealed that serum hs-c-reactive protein and pro-brain natriu¨ retic peptide levels were significantly higher in patients who developed cardiotoxicity compared to who did not develop cardiotoxicity. PLR 120 had 99% sensitivity and 85% specificity in predicting cardiotoxicity. Conclusion: This study’s results showed that high PLR levels were associated with chemotherapy-induced cardiotoxicity. To our best knowledge, this is the first study, examining the impact of whole blood test on chemotherapy-induced cardiotoxicity before starting the therapy and allowing doctors plot a route for these risky patients. (shrink)

Ongoing research in the fields of genetics and biotechnology hold the promise of improved diagnosis and treatment of genetic diseases, and potentially the development of individually tailored pharmaceuticals and gene therapies. Difficulty, however, arises in determining how these services are to be evaluated and integrated equitably into public health care systems such as Canada's. The current context is one of increasing fiscal restraint on the part of governments, limited financial resources being dedicated to health care, and rising costs for new (...) health care services and technologies. This has led to increasing public debate in the last few years about how to reform public health care, and whether we should prohibit, permit or perhaps even encourage private purchase of health care services. ;In Canada, some of these concerns have crystallized around the issue of gene patents and commercial genetic testing, in particular as illustrated by the case of Myriad Genetics' patented BRACAnalysis test for hereditary breast and ovarian cancer. While most Canadians who currently access genetic services do so through the public health care system, for those with the means, private purchase is becoming an option. This situation raises serious concerns---about justice in access to health care; about continued access to safe and reliable genetic testing supported by unbiased patient information; and about the broader effects of commercialization for ongoing research and the Canadian public health care system. Commercial genetic testing presents a challenge to health care professionals, policy analysts, and academics concerned with the social, ethical and policy implications of new genetic technologies. Using the Myriad case as an exemplar, tools from moral philosophy, the social sciences, and health policy and law will be brought to bear on the larger issues of how as a society we should regulate commercial research and product development, and more coherently decide which services to cover under public health insurance and which to leave to private purchase. Generally, the thesis is concerned with the question of "how best to bring capital, morality, and knowledge into a productive and ethical relationship". (shrink)

Breast cancer treatment is being transformed by artificial intelligence (AI). Nevertheless, most scientists, engineers, and physicians aren't ready to contribute to the healthcare AI revolution. In this paper, we discuss our experiences teaching a new American student undergraduate course that seeks to train the next generation for cross-cultural design thinking, which we believe is critical for AI to realize its full potential in breast cancer treatment. The main tasks of this course are preparing, performing and translating (...) interviews with healthcare professionals from both Portugal and the USA. Since the course is offered in Portugal as a short-term faculty-led study abroad program, students can explore the effect of culture on healthcare delivery and the design of healthcare technologies. The learning tests demonstrated student growth for breast cancer treatment in many areas important for the development of AI. In respect to understanding breast cancer care, most students had undervalued the effect of cancer and its treatment on the quality of life of women before taking this course and most were unaware of the importance of multidisciplinary care teams. Regarding AI in medical, students became more mindful of data privacy issues and the need to consider the effect of AI on healthcare professionals. (shrink)

This fifth volume on Advances and Applications of DSmT for Information Fusion collects theoretical and applied contributions of researchers working in different fields of applications and in mathematics, and is available in open-access. The collected contributions of this volume have either been published or presented after disseminating the fourth volume in 2015 in international conferences, seminars, workshops and journals, or they are new. The contributions of each part of this volume are chronologically ordered. First Part of this book presents some (...) theoretical advances on DSmT, dealing mainly with modified Proportional Conflict Redistribution Rules (PCR) of combination with degree of intersection, coarsening techniques, interval calculus for PCR thanks to set inversion via interval analysis (SIVIA), rough set classifiers, canonical decomposition of dichotomous belief functions, fast PCR fusion, fast inter-criteria analysis with PCR, and improved PCR5 and PCR6 rules preserving the (quasi-)neutrality of (quasi-)vacuous belief assignment in the fusion of sources of evidence with their Matlab codes. Because more applications of DSmT have emerged in the past years since the apparition of the fourth book of DSmT in 2015, the second part of this volume is about selected applications of DSmT mainly in building change detection, object recognition, quality of data association in tracking, perception in robotics, risk assessment for torrent protection and multi-criteria decision-making, multi-modal image fusion, coarsening techniques, recommender system, levee characterization and assessment, human heading perception, trust assessment, robotics, biometrics, failure detection, GPS systems, inter-criteria analysis, group decision, human activity recognition, storm prediction, data association for autonomous vehicles, identification of maritime vessels, fusion of support vector machines (SVM), Silx-Furtif RUST code library for information fusion including PCR rules, and network for ship classification. Finally, the third part presents interesting contributions related to belief functions in general published or presented along the years since 2015. These contributions are related with decision-making under uncertainty, belief approximations, probability transformations, new distances between belief functions, non-classical multi-criteria decision-making problems with belief functions, generalization of Bayes theorem, image processing, data association, entropy and cross-entropy measures, fuzzy evidence numbers, negator of belief mass, human activity recognition, information fusion for breast cancer therapy, imbalanced data classification, and hybrid techniques mixing deep learning with belief functions as well. (shrink)

Interoperability across data sets is a key challenge for quantitative histopathological imaging. There is a need for an ontology that can support effective merging of pathological image data with associated clinical and demographic data. To foster organized, cross-disciplinary, information-driven collaborations in the pathological imaging field, we propose to develop an ontology to represent imaging data and methods used in pathological imaging and analysis, and call it Quantitative Histopathological Imaging Ontology – QHIO. We apply QHIO to breast cancer hot-spot (...) detection with the goal of enhancing reliability of detection by promoting the sharing of data between image analysts. (shrink)

Utilitarianism, it has been said, is not sensitive to the distribution of welfare. In making risky decisions for others there are multiple sensitivities at work. I present examples of risky decision-making involving drug allocations, charitable giving, breast-cancer screening and C-sections. In each of these examples there is a different sensitivity at work that pulls away from the utilitarian prescription. Instances of saving fewer people at a greater risk to many is more complex because there are two distributional sensitivities (...) at work that pull in opposite directions from the utilitarian calculus. I discuss objections to these sensitivities and conclude with some reflections on the value of formal modelling in thinking about societal risk. (shrink)

Policy-makers must sometimes choose between an alternative which has somewhat lower expected value for each person, but which will substantially improve the outcomes of the worst off, or an alternative which has somewhat higher expected value for each person, but which will leave those who end up worst off substantially less well off. The popular ex ante Pareto principle requires the choice of the alternative with higher expected utility for each. We argue that ex ante Pareto ought to be rejected (...) because it conflicts with the requirement that, when possible, one ought to decide as one would with full information. We apply our argument in an analysis of US policy on screening for breast cancer. -/- . (shrink)

Abstract: The present review encompasses the contraception, methods of contraception, hormonal or chemical birth control pills and the herbal products having contraceptive activity with their merits and demerits. The commercially available birth control pills are detrimental to women health, might be life-threatening sometimes. The detrimental effects posed by such pills are: fat deposition in the liver, kidney and uterus, prevention of metabolism and further conception, disruption of the epithelial layer of the uterus, irregular and painful menstruation, breast cancer (...) and ultimately permanent infertility. This study will help us to view the undeniable baleful effects of the commercial birth control pills and thus will rush us to explore some herbal birth control pills that will be cheaper, having no side effects and might be effective for the sexes (male & female). A research work has already been conducted in this regard which might be an evolutionary step in this realm. (shrink)

I argue that ductal carcinoma in situ (DCIS), the tumor most commonly diagnosed by breast mammography, cannot be confidently classified as cancer, that is, as pathological. This is because there may not be dysfunction present in DCIS—as I argue based on its high prevalence and the small amount of risk it conveys—and thus DCIS may not count as a disease by dysfunction-requiring approaches, such as Boorse’s biostatistical theory and Wakefield’s harmful dysfunction account. Patients should decide about treatment for (...) DCIS based on the risks it poses and the risks and benefits of treatment, not on its disease status. (shrink)

Background: The study aimed to explore the perception of mothers of adolescent girls and health service providers in urban slums toward HPV vaccination. Methodology: A cross-sectional mixed-method study in the slums of Rayer Bazaar, Kamlapur and Mohakhali was conducted. The quantitative part included a household survey of mothers (n=150) and service providers (n=30) through a semi-structured pre-tested questionnaire and qualitative interviews included in-depth interviews (IDI) with mothers (n=10) and key-informant interviews (KII) with service providers (n=10). Results: Around 96% of mothers (...) had never heard of HPV, and 98% were unaware that the virus's transmission could be halted. Only 3.3% of mothers were aware that HPV can cause cervical cancer, although, during IDI, it was seen that the majority of mothers said that cervical cancer is a communicable disease. Nearly 98% of mothers wanted their daughters to get vaccinated. Service providers had a good understanding of HPV, HPV vaccine, and cervical cancer. All service providers during KII agreed that if they had received adequate training on HPV vaccination and cervical cancer, they could have treated their patients better. Conclusion: The findings of this study have important implications for the design and advocacy of HPV immunization programs in Bangladesh. (shrink)

Background: Obstetrics and gynaecology are many and common, where a woman suffers from problems related to pregnancy or her reproductive organs. Any part of her body may be affected due to some symptoms that are completely related to the reproductive organs when she is in a critical period for her, whether in her menstrual cycle, pregnancy, or disease conditions. The bulk of cases of diseases related to women and childbirth are dealt with great care and special care, as all diseases (...) related to women are considered very sensitive diseases due to the presence of the disease in sensitive and not simple places. A gynaecologist is a specialist in all diseases and problems related to the female sexual organs. They perform regular preventive medical exams, such as cervical smear tests and breast exams. It also provides consultations for women of all ages about the problems of contraception, infertility and menopause. Objectives: The objective of this expert system is to help and facilitate women in diagnosing diseases related to their obstetrics and gynaecology, a simple expert system has been designed consisting of ten various common diseases that affect women whether During or without pregnancy, Methods: In this system, the system consists of a list of some common symptoms, the correct diagnosis adopted for these diseases, and how to treat diseases in the correct way with the help of a consultant obstetrician and gynaecologist, Dr. Fathi Muhammad Al-Habibi, and these diseases are: uterine cancer, cervical cancer, Infertility, double uterus, ectopic pregnancy, endometrial cancer, female sexual dysfunction, endometriosis, faecal incontinence, female infertility, CLIPS Expert System language was used to design and implement the proposed expert system. Results: The proposed ten obstetrics and gynaecology diagnostic expert system was evaluated by medical students and they were satisfied with its performance. Conclusions: The proposed expert system is very useful for obstetricians and gynaecologists, patients with reproductive system problems, and recent graduates. (shrink)

Current debate and policy surrounding the use of genetic editing in humans often relies on a binary distinction between therapy and human enhancement. In this paper, we argue that this dichotomy fails to take into account perhaps the most significant potential uses of CRISPR-Cas9 gene editing in humans. We argue that genetic treatment of sporadic Alzheimer’s disease, breast- and ovarian-cancer causing BRCA1/2 mutations and the introduction of HIV resistance in humans should be considered within a new category of (...) genetic protection treatments. We find that if this category is not introduced, life-altering research might be unnecessarily limited by current or future policy. Otherwise ad hoc decisions might be made, which introduce a risk of unforeseen moral costs, and might overlook or fail to address some important opportunities. (shrink)

While many public health threats are now widely appreciated by the public, the risks from asbestos exposure remain poorly understood, even in high-risk groups. This article makes the case that asbestos exposure is an important, ongoing global health threat, and argues for greater policy efforts to raise awareness of this threat. It also proposes the extension of asbestos bans to developing countries and increased public subsidies for asbestos testing and abatement.

The accumulation of potentially toxic elements (PTEs) has raised public awareness due to harmful contamination to both human and marine creatures. This study was designed to determine the concentration of copper (Cu), zinc (Zn), cadmium (Cd), and nickel (Ni) in the intestine, kidney, muscle, gill, and liver tissues of local commercial edible fish, fourfinger threadfin (Eleutheronema tetradactylum), and black pomfret (Parastromateus niger) collected from Morib (M) and Kuala Selangor (KS). Among the studied PTEs, Cu and Zn were essential elements (...) to regulate body metabolism with certain dosages required while Cd and Ni were considered as non-essential elements that posed chronic and carcinogenic risk. The concentration of PTEs in fish tissue samples was analyzed using flame atomic absorption spectrometry (F-AAS). By comparing the concentration of PTEs in fish tissues as a bioindicator, the environmental risk of Morib was more serious than Kuala Selangor because both fish species collected from Morib resulted in a higher PTEs concentration. For an average 62 kg adult with a fish ingestion rate (FIR) of 0.16 kg/person/day in Malaysia, the estimated weekly intake (EWI) of Cd from the consumption of E. tetradactylum (M: 0.0135 mg/kg; KS: 0.0134 mg/kg) and P. niger (M: 0.0140 mg/kg; KS: 0.0132 mg/kg) had exceeded the provisional tolerable weekly intake (Cd: 0.007 mg/kg) established by the Joint FAO/WHO Expert Committee on Food Additives (JECFA) and oral reference dose (ORD) values of Cd (0.001 mg/kg/day) as provided by the United States Environmental Protection Agency (USEPA) regional screening level, thus it posed chronic risks for daily basis consumption. Besides, the value of the carcinogenic risk of Cd (0.7−3 to 0.8−3) and Ni (0.5−3 to 0.6−3) were in between the acceptable range (10−6 to 10−4) of the health index that indicates a relatively low possibility cancer occurrence to the consumers in both Morib and Kuala Selangor. This study recommended FIR to be 0.80 kg/person/day to reduce the possibility of posing chronic and carcinogenic risks while at the same time obtaining the essential nutrients from the fish. (shrink)

Background: Educated women tend to have a greater awareness of the existence of ANC services, more aware of health problems, know more about the availability of health care services, and utilize the information more effectively than non-educated women. Moreover, higher levels of education tend to positively affect healthseeking behaviors, and education may increase a woman’s control over her pregnancy and expose women to more health education messages and campaigns, enabling them to recognize danger signs and complications and take appropriate (...) action. In this study, we tried to analyze to what level the maternal education can influence the antenatal care services and childcare. Methods: A community-based cross-sectional study was conducted on 93 randomly selected mothers who have children less than 7 years by using a pre-tested structured questionnaire for data collection at various tribal villages, at an average 25 kms away from Adilabad town from April-October 2019. Analysis was done using SPSS for windows version 16, Microsoft excel and Open epi website. Results: Out of 93 study subjects, 19.3% (18) of the study subjects were not registered for the antenatal services. Higher the maternal education higher the age at pregnancy (p<0.05), was associated with more preference for deliveries by doctors (p<0.05). More the frequency of exclusive breast feeding, long lasting breast feeding was associated more than a year (p<0.05), a smaller number of children with wasting (p<0.05). Conclusion: This study revealed that utilization of ANC services was relatively better for the mother’s educated higher than secondary school, but they are still low. Educational status is important in having more health seeking behavior. In this study, it proves that health education is more important than the mere school education which can help to improve knowledge on ANC. (shrink)

The aim of this paper is to assess the relevance of somatic evolution by natural selection to our understanding of cancer development. I do so in two steps. In the first part of the paper, I ask to what extent cancer cells meet the formal requirements for evolution by natural selection, relying on Godfrey-Smith’s (2009) framework of Darwinian populations. I argue that although they meet the minimal requirements for natural selection, cancer cells are not paradigmatic Darwinian populations. (...) In the second part of the paper, I examine the most important examples of adaptation in cancer cells. I argue that they are not significant accumulations of evolutionary changes, and that as a consequence natural selection plays a lesser role in their explanation. Their explanation, I argue, is best sought in the previously existing wiring of the healthy cells. (shrink)

According to panqualityism, a form of Russellian monism defended by Sam Coleman and others, consciousness is grounded in fundamental qualities, i.e. unexperienced qualia. Despite panqualityism’s significant promise, according to David Chalmers panqualityism fails as a theory of consciousness since the reductive approach to awareness of qualities it proposes fails to account for the specific phenomenology associated with awareness. I investigate Coleman’s reasoning against this kind of phenomenology and conclude that he successfully shows that its existence is controversial, and (...) so Chalmers’s critique is inconclusive. I then present a critique of panqualityism that avoids this controversial posit, arguing that the panqualityist treatment of awareness faces an explanatory gap, failing to account for the intimate cognitive access to qualities which we are afforded, i.e. for our ‘strong awareness’ of qualities. The real worry for panqualityists is thus not the contested phenomenology of awareness, which Chalmers relies on, but rather the special way in which we are aware of qualities. (shrink)

In this paper, we developed an Artificial Neural Network (ANN) for detect the absence or presence of lung cancer in human body. Symptoms were used to diagnose the lung cancer, these symptoms such as Yellow fingers, Anxiety, Chronic Disease, Fatigue, Allergy, Wheezing, Coughing, Shortness of Breath, Swallowing Difficulty and Chest pain. They were used and other information about the person as input variables for our ANN. Our ANN established, trained, and validated using data set, which its title is (...) “survey lung cancer”. Model evaluation showed that the ANN model is able to detect the absence or presence of lung cancer with 96.67 % accuracy. (shrink)

Cancer research is experiencing ‘paradigm instability’, since there are two rival theories of carcinogenesis which confront themselves, namely the somatic mutation theory and the tissue organization field theory. Despite this theoretical uncertainty, a huge quantity of data is available thanks to the improvement of genome sequencing techniques. Some authors think that the development of new statistical tools will be able to overcome the lack of a shared theoretical perspective on cancer by amalgamating as many data as possible. We (...) think instead that a deeper understanding of cancer can be achieved by means of more theoretical work, rather than by merely accumulating more data. To support our thesis, we introduce the analytic view of theory development, which rests on the concept of plausibility, and make clear in what sense plausibility and probability are distinct concepts. Then, the concept of plausibility is used to point out the ineliminable role played by the epistemic subject in the development of statistical tools and in the process of theory assessment. We then move to address a central issue in cancer research, namely the relevance of computational tools developed by bioinformaticists to detect driver mutations in the debate between the two main rival theories of carcinogenesis. Finally, we briefly extend our considerations on the role that plausibility plays in evidence amalgamation from cancer research to the more general issue of the divergences between frequentists and Bayesians in the philosophy of medicine and statistics. We argue that taking into account plausibility-based considerations can lead to clarify some epistemological shortcomings that afflict both these perspectives. (shrink)

Despite the recent increase in interest in philosophy about ignorance, little attention has been paid to the question of what makes it possible for a being to become aware of their own ignorance. In this paper, I try to provide such an account by arguing that, for a being to become aware of their own ignorance, they must have the mental capacity to represent something as being unknown to them. For normal adult humans who have mastered a language, mental representation (...) of an unknown is enabled by forming linguistic expressions whose content is grasped, but whose referent is unknown. I provide a neo-Fregean, a neo-Russellian, and then a unified account of this. On that basis, I then argue further that the content of ignorance can always be captured by a question. I then distinguish between propositional ignorance and non-propositional ignorance and argue that propositional ignorance attributions can be of three types, that-ignorance, whether-ignorance, and fact-ignorance. I conclude by arguing that the acquisition of truths, even when it yields knowledge that is certain, does not always eliminate one’s ignorance and that there is a degree of ignorance in almost everything we claim to know. (shrink)

According to Phenomenal Conservatism (PC), if a subject S has an appearance that P, in the absence of defeaters, S has justification for believing P by virtue of her appearance's inherent justifying power. McCain and Moretti (2021) have argued that PC is affected by the problem of reflective awareness: if S becomes reflectively aware of an appearance, the appearance loses its inherent justifying power. This limits the explanatory power of PC and reduces its antisceptical bite. This paper provides a (...) novel argument to the same conclusion and contends that it does not apply to Phenomenal Explanationism, the appearance-based account of justification alternative to PC defended by McCain and Moretti (2021). (shrink)

Is it possible to misidentify the object of an episode of bodily awareness? I argue that it is, on the grounds that a person can reasonably be unsure or mistaken as to which part of his or her body he or she is aware of at a given moment. This requires discussing the phenomenon of body ownership, and defending the claim that the proper parts of one’s body are at least no less ‘principal’ among the objects of bodily (...) class='Hi'>awareness than is the body as a whole. I conclude with some reasons why this should lead us to think that bodily awareness, unlike introspection, is a form of perception. (shrink)

Today, the Internet is a rich source of study materials, and Google Scholar offers free access to a large number of scientific articles. There are excellent research publications available in many more databases. Students have the option of easily copying the material. Reusing, paraphrasing, patchwriting, and ghostwriting without citing the original documents are plagiarism. Plagiarism is increasing in academics, particularly in research. This study aims to study the awareness of plagiarism and to analyze the reasons for plagiarism. The study (...) samples are the student teachers in India. For this study, we used a survey method, and the author prepared a questionnaire to collect data from the student teachers. Study respondents are the student teachers of the Regional Institute of Education Mysore; Purposive sampling was used to select samples. The total number of study respondents is 207. The findings of the study revealed that over 70 per cent of respondents mentioned reasons for plagiarism as lack of relevant literature studying, lack of preparation and time, difficulty checking every piece of work, do not know the manual citation style, lack of knowledge about bibliographic management software and also they stated that getting easily available materials on the internet is also a reason for plagiarism. The study recommends that teachers teach or conduct awareness programs on plagiarism, avoiding plagiarism, citation style, and software. (shrink)

Awareness is a two-place determinable relation some determinates of which are seeing, hearing, etc. Abstract objects are items such as universals and functions, which contrast with concrete objects such as solids and liquids. It is uncontroversial that we are sometimes aware of concrete objects. In this paper I explore the more controversial topic of awareness of abstract objects. I distinguish two questions. First, the Existence Question: are there any experiences that make their subjects aware of abstract objects? Second, (...) the Grounding Question: if an experience makes its subject aware of an abstract object, in virtue of what does it do so? I defend the view that intuitions, specifically mathematical intuitions, sometimes make their subjects aware of abstract objects. In defending this view, I develop an account of the ground of intuitive awareness. (shrink)

The Bayesian maxim for rational learning could be described as conservative change from one probabilistic belief or credence function to another in response to newinformation. Roughly: ‘Hold fixed any credences that are not directly affected by the learning experience.’ This is precisely articulated for the case when we learn that some proposition that we had previously entertained is indeed true (the rule of conditionalisation). But can this conservative-change maxim be extended to revising one’s credences in response to entertaining propositions or (...) concepts of which one was previously unaware? The economists Karni and Vierø (2013, 2015) make a proposal in this spirit. Philosophers have adopted effectively the same rule: revision in response to growing awareness should not affect the relative probabilities of propositions in one’s ‘old’ epistemic state. The rule is compelling, but only under the assumptions that its advocates introduce. It is not a general requirement of rationality, or so we argue. We provide informal counterexamples. And we show that, when awareness grows, the boundary between one’s ‘old’ and ‘new’ epistemic commitments is blurred. Accordingly, there is no general notion of conservative change in this setting. (shrink)

Cancer biology features the ascription of normal functions to parts of cancers. At least some ascriptions of function in cancer biology track local normality of parts within the global abnormality of the aberration to which those parts belong. That is, cancer biologists identify as functions activities that, in some sense, parts of cancers are supposed to perform, despite cancers themselves having no purpose. The present paper provides a theory to accommodate these normal function ascriptions—I call it the (...) Modeling Account of Normal Function (MA). MA comprises two claims. First, normal functions are activities whose performance by the function-bearing part contributes to the self-maintenance of the whole system and, thereby, results in the continued presence of that part. Second, MA holds that models of system-level activities that are (partly) constitutive of self-maintenance are improved by including a representation of the relevant function-bearing part and by making reference to the activity/activities that part performs which contribute(s) to those system-level activities. I contrast MA with two other accounts that seek to explicate the ascription of normal functions in biology, namely, the organizational account and the selected effects account. Both struggle to extend to cancer biology. However, I offer ecumenical readings which allow them to recover some ascriptions of normal function to parts of cancers. So, though I contend that MA excels in this respect, the purpose of this paper is served if it provides materials for bridging the gap between cancer biology, philosophy of cancer, and the literature on function. (shrink)

Awareness growth—coming to entertain propositions of which one was previously unaware—is a crucial aspect of epistemic thriving. And yet, it is widely believed that orthodox Bayesianism cannot accommodate this phenomenon, since that would require employing supposedly defective catch-all propositions. Orthodox Bayesianism, it is concluded, must be amended. In this paper, I show that this argument fails, and that, on the contrary, the orthodox version of Bayesianism is particularly well-suited to accommodate awareness growth. For it entails what I call (...) the refinement view, which allows us to capture that awareness growth consists in the increase of one’s capacity of discernment. (shrink)

Many philosophers have held that it is not possible to experience a spatial object, property, or relation except against the background of an intact awareness of a space that is somehow ‘absolute’. This paper challenges that claim, by analyzing in detail the case of a brain-damaged subject whose visual experiences seem to have violated this condition: spatial objects and properties were present in his visual experience, but space itself was not. I go on to suggest that phenomenological argumentation can (...) give us a kind of evidence about the nature of the mind even if this evidence is not absolutely incorrigible. (shrink)

According to the decomposition thesis, perceptual experiences resolve without remainder into their different modality-specific components. Contrary to this view, I argue that certain cases of multisensory integration give rise to experiences representing features of a novel type. Through the coordinated use of bodily awareness—understood here as encompassing both proprioception and kinaesthesis—and the exteroceptive sensory modalities, one becomes perceptually responsive to spatial features whose instances couldn’t be represented by any of the contributing modalities functioning in isolation. I develop an argument (...) for this conclusion focusing on two cases: 3D shape perception in haptic touch and experiencing an object’s egocentric location in crossmodally accessible, environmental space. (shrink)

This paper focuses on awareness and movement in dzogchen.

Richard Bradley and others endorse Reverse Bayesianism as the way to model awareness growth. I raise a problem for Reverse Bayesianism—at least for the general version that Bradley endorses—and argue that there is no plausible way to restrict the principle that will give us the right results. To get the right results, we need to pay attention to the attitudes that agents have towards propositions of which they are unaware. This raises more general questions about how awareness growth (...) should be modelled. (shrink)

The problem of cancer is examined from the metaphysical standpoint of essence and ground. An essentialist definition of cancer is assumed that would be valid in all possible worlds in which cancer could logically exist. The grounds of cancer are then examined and elucidated. Two grounding cancer properties are identified and discussed: symmetry- breaking and computational intelligence. Each examination leads to concrete conclusions for novel therapeutic approaches and a more fundamental understanding of what cancer (...) is at bottom. Other possible cancer grounding properties related to evolution, adaptability and stochastic features are identified for future work. This approach is novel and offers new solutions to the problem of cancer. (shrink)

In this paper, I argue that self-awareness is intertwined with one's awareness of possibilities for action. I show this by critically examining Dan Zahavi's multidimensional account of the self. I argue that the distinction Zahavi makes among 'pre-reflective minimal', 'interpersonal', and 'normative' dimensions of selfhood needs to be refined in order to accommodate what I call 'pre-reflective self-understanding'. The latter is a normative dimension of selfhood manifest not in reflection and deliberation, but in the habits and style of (...) a person’s pre-reflective absorption in the world. After reviewing Zahavi's multidimensional account and revealing this gap in his explanatory taxonomy, I draw upon Heidegger, Merleau-Ponty, and Frankfurt in order to sketch an account of pre-reflective self-understanding. I end by raising an objection to Zahavi’s claim for the primitive and foundational status of pre-reflective self-awareness. To carve off self-awareness from the self’s practical immersion in a situation where things and possibilities already matter and draw one to act is to distort the phenomena. A more careful phenomenology of pre-reflective action shows that pre-reflective self-awareness and pre-reflective self-understanding are co-constitutive, both mutually for each other and jointly for everyday experience. (shrink)

I argue against a prevailing interpretation of Schopenhauer’s account of inner awareness and world-understanding. Because scholars have typically taken on board the assumption that inner awareness is non-representational, they have concerned themselves in the main with how to transfer this immediate cognition of will in ourselves and apply it to our understanding of the world–as–representation. Some scholars propose that the relation of the world-as-will to the world-as-representation is to be understood in figurative or metaphorical terms. I disagree because, (...) for Schopenhauer, inner awareness reveals a genuine philosophical truth. Some scholars also suggest that it is only via analogical transference that one can interpret the world as having the same inner nature as oneself. I disagree and point out the downside of this suggestion. I use both textual evidence and general philosophical considerations to demonstrate that inner awareness, for Schopenhauer, has a representational dimension. Overlooking this point has led scholars to misconstrue how inner awareness relates to world-understanding. I provide an alternative interpretation against figurative and analogical readings. I propose that, for Schopenhauer, we cognize partially a priori that all things are merely different expressions of the same activity that we are acquainted with in inner awareness. (shrink)

In liberal moral theory, interfering with someone’s deliberate engagement in a self-harming practice in order to promote their own good is often considered wrongfully paternalistic. But what if self-harming decisions are the product of an oppressive social context that imposes harmful norms on certain individuals, such as, arguably, in the case of cosmetic breast surgery? Clare Chambers suggests that such scenarios can mandate state interference in the form of prohibition. I argue that, unlike conventional measures, Chambers’ proposal recognises that (...) harmful, discriminatory norms entail a twofold collective moral obligation: to eliminate the harmful norm in the long run, but also to address unjust harm that is inflicted in the meantime. I show that these two obligations tend to pull in opposite directions, thus generating a serious tension in Chambers’ proposal which eventually leads to an undue compromising of the second obligation in favour of the first. Based on this discussion, I develop an alternative proposal which, instead of prohibiting breast implant surgery, offers compensation for the disadvantages suffered by individuals who decide not to have surgery. (shrink)

Self-awareness represents the capacity of becoming the object of one’s own attention. In this state one actively identifies, processes, and stores information about the self. This paper surveys the self-awareness literature by emphasizing definition issues, measurement techniques, effects and functions of self-attention, and antecedents of self-awareness. Key self-related concepts (e.g., minimal, reflective consciousness) are distinguished from the central notion of self-awareness. Reviewed measures include questionnaires, implicit tasks, and self-recognition. Main effects and functions of self-attention consist in (...) selfevaluation, escape from the self, amplification of one's subjective experience, increased self-knowledge, self-regulation, and inferences about others' mental states (Theory-of-Mind). A neurocognitive and socioecological model of self-awareness is described in which the role of face-to-face interactions, reflected appraisals, mirrors, media, inner speech, imagery, autobiographical knowledge, and neurological structures is underlined. (shrink)

In this exploration of self-identity, I argue that the self is not a standalone entity but an integral part of a broader consciousness. Deep meditation reveals the self as a construct beyond egoistic confines, interlinked with the external world and others' experiences. Decisions arise from an awareness that transcends individual ego, suggesting that our sense of self is an inexhaustible center of dynamic consciousness rather than an ultimate emptiness.

In having an experience one is aware of having it. Having an experience requires some form of access to one's own state, which distinguishes phenomenally conscious mental states from other kinds of mental states. Until very recently, Higher-Order (HO) theories were the only game in town aiming at offering a full-fledged account of this form of awareness within the analytical tradition. Independently of any objections that HO theories face, First/Same-Order (F/SO) theorists need to offer an account of such access (...) to become a plausible alternative. My aim in this paper is twofold. In the first place, I wish to widen the logical space of the discussion among theories of consciousness by offering a distinction, orthogonal to that between F/SO and HO theories, between what I will call 'Self-Involving' (SI) and 'Mental-State-Involving' (MSI) theories and argue in favor of the former one. In the second place, I will present the basics of a characterization of such a Self-Involving theory in Same-Order terms. (shrink)

Cancer care has transitioned from clinical-based to home-based care to support longterm care in a more familiar and comfortable environment. This care transition has put family caregivers (FCGs) in a strategic position as care providers. Cancer care at home involves psychological and emotional treatment at some point, making FCGs deal with the stress of cancer patients frequently. Due to their limited care competencies, they need supportive care from healthcare professionals in cancer stress management. This study aims (...) to examine how types of demanded healthcare information affect the FCG’s role in reducing the stress of female cancer patients. The mindsponge theory was used in conceptual development and interpretation. Bayesian Mindsponge Framework (BMF) analytics were used for statistical analysis on a dataset of 48 spouses (husbands) and 12 other family members in five congested communities of Surabaya, Indonesia. Results showed that among the six types of healthcare information, FCGs with higher demand for cancer-specific information were more likely to need support in reducing the stress of female cancer patients. Meanwhile, FCGs with a higher demand for information about support services were less likely to need support to reduce cancer patients’ stress. Other types of healthcare information have ambiguous effects on the need for support in reducing cancer-induced stress. This study reveals that the demanded cancer-specific information, e.g., cancer prognosis or likely outcome, must be prioritized to assist FCG’s role in managing cancer stress. (shrink)