Thomas à Kempis and the Brothers of common life.

Mode of access: Internet.

Steps towards Heaven ; or, Religion in common life : a series of lay sermons for converts in the great awakening /

Bound in blindstamped brown cloth.

The chemistry of common life.

Mode of access: Internet.

Introductio ad prudentiam; or, Directions, counsels, and cautions, tending to prudent management of affairs in common life. The second part. To which is added an appendix, concerning sincerity and deceit. The whole comp.

Mode of access: Internet.

Heores and heroism in common life,

Mode of access: Internet.

Laws of Christ for common life.

Mode of access: Internet.

The improvement of the mind: or, A supplement to the Art of logic: containing a variety of remarks and rules for the attainment and communication of useful knowledge in religion, in the sciences, and in common life. To which is added, Discourse on the education of children and youth.

Mode of access: Internet.

The chemistry of common life.

Mode of access: Internet.

The Spirit of Christ in common life : addresses and sermons /

Mode of access: Internet.

On Queueinginventory Models – product form solution; reservation, Cancellation and common life time

Queueing theory is the mathematical study of ‘queue’ or ‘waiting lines’ where an item from inventory is provided to the customer on completion of service. A typical queueing system consists of a queue and a server. Customers arrive in the system from outside and join the queue in a certain way. The server picks up customers and serves them according to certain service discipline. Customers leave the system immediately after their service is completed. For queueing systems, queue length, waiting time and busy period are of primary interest to applications. The theory permits the derivation and calculation of several performance measures including the average waiting time in the queue or the system, mean queue length, traffic intensity, the expected number waiting or receiving service, mean busy period, distribution of queue length, and the probability of encountering the system in certain states, such as empty, full, having an available server or having to wait a certain time to be served.

Regularization meets GreenAI: a new framework for image reconstruction in life sciences applications

Ill-conditioned inverse problems frequently arise in life sciences, particularly in the context of image deblurring and medical image reconstruction. These problems have been addressed through iterative variational algorithms, which regularize the reconstruction by adding prior knowledge about the problem's solution. Despite the theoretical reliability of these methods, their practical utility is constrained by the time required to converge. Recently, the advent of neural networks allowed the development of reconstruction algorithms that can compute highly accurate solutions with minimal time demands. Regrettably, it is well-known that neural networks are sensitive to unexpected noise, and the quality of their reconstructions quickly deteriorates when the input is slightly perturbed. Modern efforts to address this challenge have led to the creation of massive neural network architectures, but this approach is unsustainable from both ecological and economic standpoints. The recently introduced GreenAI paradigm argues that developing sustainable neural network models is essential for practical applications. In this thesis, we aim to bridge the gap between theory and practice by introducing a novel framework that combines the reliability of model-based iterative algorithms with the speed and accuracy of end-to-end neural networks. Additionally, we demonstrate that our framework yields results comparable to state-of-the-art methods while using relatively small, sustainable models. In the first part of this thesis, we discuss the proposed framework from a theoretical perspective. We provide an extension of classical regularization theory, applicable in scenarios where neural networks are employed to solve inverse problems, and we show there exists a trade-off between accuracy and stability. Furthermore, we demonstrate the effectiveness of our methods in common life science-related scenarios. In the second part of the thesis, we initiate an exploration extending the proposed method into the probabilistic domain. We analyze some properties of deep generative models, revealing their potential applicability in addressing ill-posed inverse problems.

Culture, politics and identity: critical readings on gender in southeast Asia

Indian Journal of Gender Studies October 2012 vol. 19 no. 3 437-467

A eficácia da Mediação Familiar no contexto das Responsabilidades Parentais

Dissertação de mestrado em Direito das Crianças, Família e Sucessões

Couples' Resolution of an Infertility Diagnosis Before Undergoing in Vitro Fertilization

Although the use of assisted reproductive technology has today become more familiar, the suffering associated with the experience of infertility remains. This study assesses the emotional resolution of couples faced with an infertility diagnosis by examining their narratives. Fifty-seven couples were recruited from fertility clinics to participate in a semistructured interview prior to in vitro fertilization. Two aspects of the couples' reactions to the infertility diagnosis were assessed: (1) each individual's capacity to acknowledge the emotional reality of the diagnosis (diagnosis resolution) and (2) the couple's ability to construct a shared meaning of the infertility diagnosis experience (narrative co-construction). Associations between these aspects and self-reported marital satisfaction, infertility-related stress, and diagnosis-related variables were analyzed. 73.7% of women and 61.4% of men had acknowledged the emotional reality of the diagnosis, and their scores for narrative co-construction were comparable to reference samples. Marital satisfaction, but not infertility-related stress, was associated with diagnosis resolution and narrative co-construction. The results indicate the importance of detecting couples with fewer individual and marital resources needed to face the reality of the diagnosis. A couple's capacity to perceive the infertility diagnosis as a shared problem is also essential for dealing with this common life event.