This paper attempts to analyze the performance of 57 memberstates of the Organization of Islamic Cooperation based on selectedindicators of some sectors namely demography, economics, educationand technology and innovation. Specifically, it aims at firstly portraying anoverview of OIC performance based on six selected indicators followed byanalyzing the relationship between selected development variables withliteracy and exploring the state of OIC performance as indicated by theirachievement based on selected indicators. The study was undertaken vis-àvisthe prevailing theories on modernization and development as well (...) as thewidely asserted underdevelopment of the contemporary Muslim ummah asclaimed by numerous contemporary Muslim scholars. The data were solicitedamong others from the World Bank Database, Statistical, Economic, and SocialResearch and Training, Centre of Islamic Countries of OIC andsome previous studies. They were then analyzed using SPSS with the resultsbeing generated mainly through the use of descriptive statistics. Among others,the study found that there is a positive correlation between Muslim countries’urban population growth and literacy rate, there is a steady decline in thenumber of OIC countries as they are categorized from lower to higher incomecategory placement and the percentage of the scientific publications of all 57OIC countries is far below that of any one single developed nation. (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)

Background: Older, frail patients with multimorbidity are at an especially high risk for disease severity and death from COVID-19. The social restrictions proved challenging for the residents, their relatives, and the care staff. While these restrictions clearly impacted daily life in Norwegian nursing homes, knowledge about how the pandemic influenced nursing practice is sparse. Aim: The aim of the study was to illuminate ethical difficult situations experienced by Norwegian nurses working in nursing homes during the COVID-19 pandemic. Research design and (...) participants: The research design involved semistructured individual interviews conducted with 15 nurses working in 8 nursing homes in 3 health regions in Norway, within both urban and rural areas. Ethical considerations: Oral and written information about the study was provided before the participants gave their written consent. The transcribed interviews were de-identified. The study was approved by the Norwegian Centre for Research Data. Findings: Four ethical difficult situations were identified: (a) turning the nursing home into a prison; (b) using medication to maintain peace and order; (c) being left alone with the responsibility; and (d) s. impact on decision-making. Conclusions: The nurses’ ethical challenges were intertwined with external factors, such as national and local guidelines, and the nurses’ own internalized factors, which were connected to their subjective professionality. This duality inflicted emotional distress and gave nurses few opportunities to perform nursing in a professionally sound and safe manner. (shrink)

The International Classification of Functioning, Disability and Health (ICF), designed by the WHO, attempts to provide a holistic model of functioning and disability by integrating a medical model with a social one. The aim of this article is to analyze the ICF’s claim to holism. The following components of the ICF’s complexity are analyzed: (1) health condition, (2) body functions and structures, (3) activity, (4) participation, (5) environmental factors, (6) personal factors, and (7) health. Although the ICF claims to be (...) holistic, it presupposes a monistic materialistic ontology. We indicate some limitations of this ontology, proposing instead: (a) a pluralistic–holistic ontology (PHO) and (b) a multidimensional view of the human being, with individual and environmental aspects, in relation to three levels of reality implied by the PHO. For the ICF to attain its holistic claim, the interactions between its components should be based on (a) and (b). (shrink)

In recent years, the genetic testing and selection of IVF embryos, known as preimplantation genetic testing (PGT), has gained much traction in clinical assisted reproduction for preventing transmission of genetic defects. However, a more recent ethically and morally controversial development in PGT is its possible use in selecting IVF embryos for optimal intelligence quotient (IQ) and other non–disease-related socially desirable traits, such as tallness, fair complexion, athletic ability, and eye and hair colour, based on polygenic risk scores (PRS), in what (...) is referred to as PGT-P. Artificial intelligence (AI) and machine learning–based analysis of big data sets collated from genome sequencing of specific human ethnic populations can be used to estimate an individual embryo’s likelihood of developing such multifactorial traits by analysing the combination of specific genetic variants within its genome. Superficially, this technique appears compliant with Islamic principles and ethics. Because there is no modification of the human genome, there is no tampering with Allah’s creation (taghyīr khalq Allah). Nevertheless, a more critical analysis based on the five maxims of Islamic jurisprudence (qawa'id fiqhiyyah) that are often utilized in discourses on Islamic bioethics, namely qaṣd (intention), yaqın̄ (certainty), ḍarar (injury), ḍarūra (necessity), and `urf (custom), would instead reveal some major ethical and moral flaws of this new medical technology in the selection of non–disease-related socially desirable traits, and its non-compliance with the spirit and essence of Islamic law (shariah). Muslim scholars, jurists, doctors, and biomedical scientists should debate this further and issue a fatwa on this new medical technology platform. (shrink)

This paper analyses mass media exposure and its effect on family planning in Bangladesh using data from the Bangladesh Demographic and Health Survey (BDHS) 1993s place of residence, education, economic status, geographical region and number of living children appeared to be the most important variable determining mass media exposure to family planning. Multivariate analysis shows that both radio and TV exposure to family planning messages and ownership of a radio and TV have a significant effect on current use of family (...) planning methods. These factors remain significant determinants of contraceptive use, even after controlling socioeconomic and demographic factors. The study reveals that both socioeconomic development policies and family planning programmes with a special emphasis on mass media, especially radio, may have a significant effect on contraceptive use in Bangladesh. The principal policy challenge is to design communications strategies that will reach the less privileged, rural and illiterate people who are by far the majority in Bangladesh. (shrink)

Introduction In 2007, a national review committee was instituted in The Netherlands to review cases of active ending of life for newborns. It was expected that 15–20 cases would be reported. To date, however, only one case has been reported to this committee. Reporting is essential to obtain societal control and transparency; the possible explanations for this lack of reporting were therefore explored. Methods Data on end-of-life decision-making were scrutinised from Dutch nation-wide studies (1995, 2001 and 2005), before institution of (...) the committee. Physicians received a questionnaire about their medical decision-making for stratified samples of deceased infants up to 1 year, drawn from the central death registry. Results In 2005, 58% of all deaths were preceded by an end-of-life decision, compared with 68% in 2001 and 62% in 1995. The use of drugs with a possible life-shortening effect tended to be lower. In 2005, all four cases in the study in which an infants' life was actively ended were preceded by a decision to forego life-prolonging treatment. In three cases, the infant's life expectancy was short; one case involved a longer life expectancy. Discussion The expected number of cases is probably an overestimation due to changes in medical practice such as the tendency to attribute less life-shortening effects to opioids. The lack of reports is probably also associated with requirements in the regulation; it may be difficult to fulfil them due either to time constraints or the nature of the suffering that is addressed. If societal control of active ending of life is considered useful, changes in the regulation may be needed. (shrink)

Rapid advancements in machine learning techniques allow mass surveillance to be applied on larger scales and utilize more and more personal data. These developments demand reconsideration of the privacy-security dilemma, which describes the tradeoffs between national security interests and individual privacy concerns. By investigating mass surveillance techniques that use bulk data collection and machine learning algorithms, we show why these methods are unlikely to pinpoint terrorists in order to prevent attacks. The diverse characteristics of terrorist attacks—especially when considering lone-wolf terrorism—lead (...) to irregular and isolated footprints. The irregularity of data affects the accuracy of machine learning algorithms and the mass surveillance that depends on them which can be explained by three kinds of known problems encountered in machine learning theory: class imbalance, the curse of dimensionality, and spurious correlations. Proponents of mass surveillance often invoke the distinction between collecting data and metadata, in which the latter is understood as a lesser breach of privacy. Their arguments commonly overlook the ambiguity in the definitions of data and metadata and ignore the ability of machine learning techniques to infer the former from the latter. Given the sparsity of datasets used for machine learning in counterterrorism and the privacy risks attendant with bulk data collection, policymakers and other relevant stakeholders should critically re-evaluate the likelihood of success of the algorithms and the collection of data on which they depend. (shrink)