The Self We Live By confronts the serious challenges facing the self in postmodern times. Taking issue with contemporary trivializations of the self, the book traces a course of development from the early pragmatists who formulated what they called the 'empirical self', to contemporary constructionist views of the storied self. Presenting an institutional context for the increasing complexity and ubiquity of narrative identity, the authors illustrate the 'everyday technology of self construction' and idscuss the resulting moral climate. The book is (...) suitable for advanced undergraduates and graduate students in courses such as Individual in Society, Contemporary American Society, Social Psychology, Social Interaction and Culture & Personality. (shrink)

In their report for the Swiss government onthe notion of the dignity of creatures, PhilippBalzer, Klaus-Peter Rippe, and Peter Schaber analyzethe relationship between human dignity and the dignityof creatures, taking them as two categoricallydifferent concepts. Human dignity is defined as the``moral right not to be humiliated,'' whereas thedignity of creatures is taken to be ``the inherentvalue of nonhuman living beings.'' To my mind there isno need to draw a categorical distinction between thetwo concepts. Both notions could be brought togetherunder an (...) all-encompassing concept of the inherentvalue of living beings, humans and non-humans alike,a concept one could name ``the dignity of livingbeings.'' Indeed, this very notion underlies theposition taken in the report, although this is notmade explicit by the authors themselves.As the aim of the paper is only to clarify theconcepts used, I do not go beyond this ``internal''critique of their position, i.e., I don't assess howthe claims articulated via these concepts – theclaim that humans and/or creatures have an inherentvalue consisting in a supposed intrinsic good – areto be justified, although I myself would be ratherskeptical that this might be successfully done. (shrink)

Radiography images are widely utilized in the health sector to recognize the patient health condition. The noise and irrelevant region information minimize the entire disease detection accuracy and computation complexity. Therefore, in this study, statistical Kolmogorov–Smirnov test has been integrated with wavelet transform to overcome the de-noising issues. Then the cat swarm-optimized deep belief network is applied to extract the features from the affected region. The optimized deep learning model reduces the feature training cost and time and improves the overall (...) disease detection accuracy. The network learning process is enhanced according to the AdaDelta learning process, which replaces the learning parameter with a delta value. This process minimizes the error rate while recognizing the disease. The efficiency of the system evaluated using image retrieval in medical application dataset. This process helps to determine the various diseases such as breast, lung, and pediatric studies. (shrink)

Dass die Würde des Menschen unantastbar sei, stellt eine der populärsten, aber auch eine der umstrittensten Aussagen des Grundgesetzes dar. Dabei wird eine sachorientierte Diskussion oft durch mehr oder minder unausgewiesene semantische und historische Annahmen blockiert. Aus dieser Beobachtung heraus wird zum einen überlegt, wie sich unterschiedliche Bedeutungen des Ausdrucks "Menschenwürde" unterscheiden und ethischen Fragestellungen resp. Positionen zuordnen ließen. Zum anderen wird die Einführung des Ausdrucks in das Verfassungsrecht nachgezeichnet. Das Hauptaugenmerk gilt dabei Art.1 Abs. 1 Grundgesetz, dessen Gehalt in (...) Auseinandersetzung mit der bisherigen Rechtsprechung rekonstruiert wird. (shrink)

Content-based image retrieval (CBIR) is a technique used to retrieve image from an image database. However, the CBIR process suffers from less accuracy to retrieve many images from an extensive image database and prove the privacy of images. The aim of this article is to address the issues of accuracy utilizing deep learning techniques such as the CNN method. Also, it provides the necessary privacy for images using fully homomorphic encryption methods by Cheon–Kim–Kim–Song (CKKS). The system has been proposed, namely (...) RCNN_CKKS, which includes two parts. The first part (offline processing) extracts automated high-level features based on a flatting layer in a convolutional neural network (CNN) and then stores these features in a new dataset. In the second part (online processing), the client sends the encrypted image to the server, which depends on the CNN model trained to extract features of the sent image. Next, the extracted features are compared with the stored features using a Hamming distance method to retrieve all similar images. Finally, the server encrypts all retrieved images and sends them to the client. Deep-learning results on plain images were 97.87% for classification and 98.94% for retriever images. At the same time, the NIST test was used to check the security of CKKS when applied to Canadian Institute for Advanced Research (CIFAR-10) dataset. Through these results, researchers conclude that deep learning is an effective method for image retrieval and that a CKKS method is appropriate for image privacy protection. (shrink)

We prove that in a nilpotent-by-finite stable group an equation that holds generically holds everywhere. Combining this result with results of Wagner and Bryant, we conclude that a soluble-by-finite stable group of generic exponent n has exponent n.

RésuméOn prouve que dans un groupe stable, nilpotent par fini, une équation générìquement satisfaite y est partout satisfaite. En combinant ce résultat avec des résultats de Wagner et Bryant, on déduit qu'un groupe stable résoluble-par-fini d'exposant généríquenest d'exposantn.

Internet-of-Things (IoT) creates a significant impact in spectrum sensing, information retrieval, medical analysis, traffic management, etc. These applications require continuous information to perform a specific task. At the time, various intermediate attacks such as jamming, priority violation attacks, and spectrum poisoning attacks affect communication because of the open nature of wireless communication. These attacks create security and privacy issues while making data communication. Therefore, a new method autoencoder deep neural network (AENN) is developed by considering exploratory, evasion, causative, and priority (...) violation attack. The created method classifies the transmission outcomes used to predict the transmission state, whether it is jam data transmission or sensing data. After that, the sensing data is applied for network training that predicts the intermediate attacks. In addition to this, the channel access algorithm is used to validate the channel for every access that minimizes unauthorized access. After validating the channel according to the neural network, data have been transmitted over the network. The defined process is implemented, and the system minimizes different attacks on various levels of energy consumption. The effectiveness of the system is implemented using TensorFlow, and the system ensures the 99.02% of detection rate when compared with other techniques. (shrink)

Autism spectrum disorder is an inherited long-living and neurological disorder that starts in the early age of childhood with complicated causes. Autism spectrum disorder can lead to mental disorders such as anxiety, miscommunication, and limited repetitive interest. If the autism spectrum disorder is detected in the early childhood, it will be very beneficial for children to enhance their mental health level. In this study, different machine and deep learning algorithms were applied to classify the severity of autism spectrum disorder. Moreover, (...) different optimization techniques were employed to enhance the performance. The deep neural network performed better when compared with other approaches. (shrink)

Data hiding and watermarking are considered one of the most important topics in cyber security. This article proposes an optimized method for embedding a watermark image in a cover medium (color image). First, the color of the image is separated into three components (RGB). Consequently, the discrete wavelet transform is applied to each component to obtain four bands (high–high, high–low, low–high, and low–low), resulting in 12 bands in total. By omitting the low–low band from each component, a new square matrix (...) is formed from the rest bands to be used for the hiding process after adding keys to it. These keys are generated using a hybrid approach, combining two chaotic functions, namely Gaussian and exponential maps. The embedding matrix is divided into square blocks with a specific length, each of which is converted using Hessenberg transform into two matrices, P and H. For each block, a certain location within the H-matrix is used for embedding a secret value; the updated blocks are assembled, and the reverse process is performed. An optimization method is applied, through the application of the firework algorithm, on the set of the initial values that generate keys. Using an optimization procedure to obtain keys requires performing lowest possible change rate in an image and maintain the quality of the image. To analyze and test the efficiency of the proposed method, mean-square error (MSE) and peak signal-to-noise ratio (PSNR) measurements are calculated. Furthermore, the robustness of the watermark is computed by applying several attacks. The experimental results show that the value of the MSE is reduced by about 0.01 while the value of the PSNR is increased by about 1.25 on average. Moreover, the proposed method achieved a high-retrieval rate in comparison with the non-optimization approach. (shrink)

IntroductionFew studies have examined psychological distress in healthcare workers across the care continuum. This study describes distress levels reported by HCWs across care settings and factors associated with distress.MethodsA cross-sectional survey of HCWs from Windsor, Ontario, was conducted between May 30th, 2020, and June 30th, 2020. The survey included the Kessler Psychological Distress Scale, sociodemographic, frontline status, perceptions of training, protection, support, respect among teams, and professional and personal stressors. Univariate analyses were used to compare across settings and multivariate logistic (...) regression assessed factors associated with distress.ResultsFour hundred and three HCWs from the hospital, community health and social service, first responder, primary care, home, and long-term care participated in the survey. Common concerns included fear of transmitting COVID-19 to family, safety on the job, and balancing personal care with work demands. LTC and home-care HCWs reported greater concern about workload and staffing levels, whereas community health workers were more anxious about their financial security. Overall, 228 HCWs who completed the K10 reported high distress, with greater rates among hospital and LTC HCWs. Distress was more likely in HCWs who identified as female, younger than 55, perceived lower respect among team, and experienced greater worry about physical and mental health and managing high workloads.ConclusionResults showed a high degree of distress experienced by HCWs across care settings and the impact of the COVID-19 pandemic on personal and work-related stress. Promoting self-care and supportive and collaborative healthcare teams are promising avenues for mitigating symptoms of distress. (shrink)

In this paper, we present an intensive investigation of the finite volume method compared to the finite difference methods. In order to show the main difference in the way of approaching the solution, we take the Burgers equation and the Buckley–Leverett equation as examples to simulate the previously mentioned methods. On the one hand, we simulate the results of the finite difference methods using the schemes of Lax–Friedrichs and Lax–Wendroff. On the other hand, we apply Godunov’s scheme to simulate the (...) results of the finite volume method. Moreover, we show how starting with a variational formulation of the problem, the finite element technique provides piecewise formulations of functions defined by a collection of grid data points, while the finite difference technique begins with a differential formulation of the problem and continues to discretize the derivatives. Finally, some graphical and numerical comparisons are provided to illustrate and corroborate the differences between these two main methods. (shrink)

Nowadays, lung cancer is one of the most dangerous diseases that require early diagnosis. Artificial intelligence has played an essential role in the medical field in general and in analyzing medical images and diagnosing diseases in particular, as it can reduce human errors that can occur with the medical expert when analyzing medical image. In this research study, we have done a systematic survey of the research published during the last 5 years in the diagnosis of lung cancer classification of (...) lung nodules in 4 reliable databases, and we selected 50 research paper using systematic literature review. The goal of this review work is to provide a concise overview of recent advancements in lung cancer diagnosis issues by machine learning and deep learning algorithms. This article summarizes the present state of knowledge on the subject. Addressing the findings offered in recent research publications gives the researchers a better grasp of the topic. We checked all the characteristics, such as challenges, recommendations for future work were analyzed in detail, and the published datasets and their source were presented to facilitate the researchers’ access to them and use it to develop the results achieved previously. (shrink)

A patient with a history of bipolar II disorder and endstage renal disease who required hemodialysis for five years abruptly wished to withdraw from dialysis on day seven of her hospital admission for a urinary tract infection. She had never discussed wishing to withdraw from dialysis prior to this hospital admission. She had experienced several symptoms of depression during her stay. Her desire to withdraw from dialysis treatment was discordant with her previously expressed desires, and the psychiatry team determined that (...) her judgment was likely altered by her depressive episode. Given her previous positive response to electroconvulsive therapy (ECT), the psychiatry team recommended that she receive ECT before she choose to withdraw from dialysis. (shrink)

Comparative work on philosophy of Indian spiritual leader, Aurobindo Ghose, 1872-1950 and Friedrich Wilhelm Nietzsche, 1844-1900, western philosopher.

Articles on the philosophy of different religions.

On Indic philosophy in the light of Buddhism; transcript of author's lectures; includes bibliography of the author.

[1] al-Manṭiq. 1. al-Madkhal. 2. al-Maqūlāt. 3. al-ʻIbārah. 4. al-Qiyās. 5. al-Burhān. 6. al-Jadal. 7. al-Safsaṭah. 8. al-Khaṭābah. 9. al-Shiʻr (4 v.) -- [2] al-Ṭabīʻīyat. 2. al-Samāʼ wa-al-ʻālam. 3. al-Kawn wa-al-fasād. 4. al-Afʻāl wa-al-infiʻālāt. 5. al-Maʻādin wa-al-āthār al-ʻulwīyah. 6. al-Nafs. 7. al-Nabāt -- [3] al-Riyāḍīyāt. [1] Uṣūl al-handasah. 2. al-Ḥisāb. 3. Jawāmiʻ ʻilm al-mūsīqá. [4] al-Ilāhīyāt.

This article studies the Islamic State's only remaining periodical, Al-Naba, identifying the most common tropes and patterns in the periodical's Sub-Saharan Africa coverage, and on Mozambique in particular. The Islamic State's increasingly important coverage of Africa focuses on terror attacks, military campaigns and on the fight against Christianity. However, it also employs more traditional anti-colonial arguments that have been used by other, more accepted, political actors during the struggle for decolonisation. Al-Naba also functions as a 'shamer' of non-African (...) Muslims, to get them to join jihad by pointing to the African successes of the organisation and set these successes up as examples to be followed. In this sense, the article illustrates how African jihadist branches can have global agency. (shrink)