Male sexual dysfunction and infertility associated with neurological disorders

Normal sexual and reproductive functions depend largely on neurological mechanisms. Neurological defects in men can cause infertility through erectile dysfunction, ejaculatory dysfunction and semen abnormalities. Among the major conditions contributing to these symptoms are pelvic and retroperitoneal surgery, diabetes, congenital spinal abnormalities, multiple sclerosis and spinal cord injury. Erectile dysfunction can be managed by an increasingly invasive range of treatments including medications, injection therapy and the surgical insertion of a penile implant. Retrograde ejaculation is managed by medications to reverse the condition in mild cases and in bladder harvest of semen after ejaculation in more severe cases. Anejaculation might also be managed by medication in mild cases while assisted ejaculatory techniques including penile vibratory stimulation and electroejaculation are used in more severe cases. If these measures fail, surgical sperm retrieval can be attempted. Ejaculation with penile vibratory stimulation can be done by some spinal cord injured men and their partners at home, followed by in-home insemination if circumstances and sperm quality are adequate. The other options always require assisted reproductive techniques including intrauterine insemination or in vitro fertilization with or without intracytoplasmic sperm injection. The method of choice depends largely on the number of motile sperm in the ejaculate

Current Challenges and Visions in Music Recommender Systems Research

Music recommender systems (MRS) have experienced a boom in recent years, thanks to the emergence and success of online streaming services, which nowadays make available almost all music in the world at the user's fingertip. While today's MRS considerably help users to find interesting music in these huge catalogs, MRS research is still facing substantial challenges. In particular when it comes to build, incorporate, and evaluate recommendation strategies that integrate information beyond simple user--item interactions or content-based descriptors, but dig deep into the very essence of listener needs, preferences, and intentions, MRS research becomes a big endeavor and related publications quite sparse. The purpose of this trends and survey article is twofold. We first identify and shed light on what we believe are the most pressing challenges MRS research is facing, from both academic and industry perspectives. We review the state of the art towards solving these challenges and discuss its limitations. Second, we detail possible future directions and visions we contemplate for the further evolution of the field. The article should therefore serve two purposes: giving the interested reader an overview of current challenges in MRS research and providing guidance for young researchers by identifying interesting, yet under-researched, directions in the field

Infertility in Men with Spinal Cord Injury: Research and Treatment

Spinal cord injury (SCI) occurs most often to young men. Following SCI, most men are infertile due to a combination of erectile dysfunction, ejaculatory dysfunction and semen abnormalities. Erectile dysfunction may be treated by the same therapies that are used in the general population. Similarly, the same treatments that are effective to assist conception in couples with non-SCI male factor patients are effective in assisting conception in SCI male-factor patients. The most apparent differences in male-factor symptoms between SCI and non-SCI patients are the high occurrences of anejaculation and atypical semen profiles in men with SCI. Methods available to assist ejaculation in men with SCI include penile vibratory stimulation and EEJ. Use of surgical sperm retrieval as the first line of treatment for anejaculation in men with SCI is controversial. Most men with SCI have a unique semen profile characterized by normal sperm concentration, but abnormally low sperm motility. Toxic substances in the semen contribute to this problem. Despite impaired sperm parameters, pregnancy outcomes using sperm from men with SCI are similar to pregnancy outcomes using sperm from non-SCI men. Future studies should focus on improving natural ejaculation and improving semen quality in these men

Improving Medical Data Annotation Including Humans in the Machine Learning Loop

Presented at the 4th XoveTIC Conference, A Coruña, Spain, 7–8 October 2021[Abstract] At present, the great majority of Artificial Intelligence (AI) systems require the participation of humans in their development, tuning, and maintenance. Particularly, Machine Learning (ML) systems could greatly benefit from their expertise or knowledge. Thus, there is an increasing interest around how humans interact with those systems to obtain the best performance for both the AI system and the humans involved. Several approaches have been studied and proposed in the literature that can be gathered under the umbrella term of Human-in-the-Loop Machine Learning. The application of those techniques to the health informatics environment could provide a great value on prognosis and diagnosis tasks contributing to develop a better health service for Cancer related diseases.This work has been supported by the State Research Agency of the Spanish Government, grant (PID2019-107194GB-I00/AEI/10.13039/501100011033) and by the Xunta de Galicia, grant (ED431C 2018/34) with the European Union ERDF funds. We wish to acknowledge the support received from the Centro de Investigación de Galicia “CITIC”, funded by Xunta de Galicia and the European Union (European Regional Development Fund- Galicia 2014-2020 Program), by grant ED431G 2019/01Xunta de Galicia; ED431C 2018/34Xunta de Galicia; ED431G 2019/0

Middle Tennessee vs Clemson (9/5/2009)

Middle Tennessee vs Clemson (9/5/2009)https://tigerprints.clemson.edu/fball_prgms/1321/thumbnail.jp

Multi-Device Design in Contexts of Interchange and Task Migration

Com a miniaturização dos componentes digitais e o vasto desenvolvimento tecnológico dos últimos anos, a sociedade tem presenciado a redefinição dos "computadores pessoais" pelo advento dos dispositivos móveis. Além da inovação, eles introduziram o desafio do design multi-dispositivo para as aplicações desktop. Enquanto algumas abordagens criaram interfaces móveis sem aproveitar qualquer modelo, outras buscaram adaptações automáticas visando reduzir a sobrecarga de designo Em ambas, o foco do design deixou de ser o usuário, tornando as interfaces tão diferentes ao ponto de comprometerem a usabilidade na realização de uma mesma tarefa em vários dispositivos. Esta tese afirma que não existe uma abordagem de design multi-dispositivo capaz de garantir boa usabilidade em todos os contextos porque o usuário pode escolher apenas uma forma de acesso à aplicação ou alternar seu uso por meio de vários dispositivos. No primeiro caso, o usuário aprende a usar a interface para realizar suas tarefas, sendo relevante uma abordagem que aproveite os recursos do dispositivo e trate suas limitações. No segundo, o usuário já conhece uma das interfaces, o que gera uma expectativa no uso das demais. Logo, é necessário combinar abordagens com objetivos diferentes para atender ao usuário de acordo com o seu contexto de uso. Neste sentido, propõe-se o design multi-dispositivo por meio da preservação de uma hierarquia de prioridades de consistência definida em três níveis. Enquanto os dois primeiros dão suporte à expectativa do usuário em contextos de uso alternado (propensos à execução de tarefas em dispositivos diferentes) e migração de tarefas (iniciando tarefas com um dispositivo e concluindo com outro), o terceiro nível garante a personalização das tarefas de maior interesse visando eficiência e satisfação de uso em um dispositivo específico. A avaliação desta metodologia foi feita por meio de um experimento com três interfaces de pocket PC construídas a partir de uma aplicação desktop do domínio de Educação a Distância: a primeira delas era uma réplica da original (Migração Direta), a segunda não mantinha consistência de layout e era baseada em um processo de design personalizado adequado ao dispositivo (Linear) e a terceira aplicava apenas os dois primeiros níveis da hierarquia de prioridades (Overview). Os resultados da avaliação subjetiva mostraram que a abordagem Overview foi capaz de manter o modelo mental do usuário com maior precisão por preservar os atributos de facilidade, eficiência e segurança de uso na interação inter-dispositivo. Além disso, os resultados medidos para a eficácia (exatidão das respostas) e eficiênciá (tempo médio de execução das tarefas) foram iguais ou melhores com essa abordagem. Por outro lado, os usuários revelaram uma preferência pela personalização de tarefas presente na abordagem Linear. Este resultado dá suporte à proposta desta tese, mostrando que a eficácia gerada pelos dois primeiros níveis da hierarquia de prioridades (percepção e execução das tarefas) deve ser combinada com o terceiro nível de personalização. Para isso, sugere-se a disponibilização de padrões de interface criados pelo designer para escolha do usuário durante a interação. Essa combinação deve garantir usabilidade no acesso a uma aplicação feito sempre por um mesmo dispositivo ou em contextos de uso alternado e migração de tarefasWith the miniaturization of digital components and the vast technological development of the past years, society has remarked the redefinition of "personal computers" by the advent of modern mobile devices. Besides the innovation, these handhelds also introduced the challenge to develop multi-device interfaces for today's desktop applications. While some created mobile interfaces from scratch to get the best from the devices, others looked for automatic adaptations to reduce the load imposed to the designeI. In both cases, the user wasn't the focus anymore, which resulted interfaces so different from each other to the point of compromising usability when peHorming one task on many devices. This thesis claims that there is no multi-device approach capable to provi de full usability in every context because the user may choose only one interface to access the application or interchange its use via many devices. In the first case, the user learns to perform tasks with the given device, which makes relevant an approach that takes advantage of its resources and solves its limitations. In the second, the user already knows one of the available interfaces, which generates an expectation for the others. Therefore, it is necessary to combine approaches with different goals and suit the user according to the appropriate context. In this sense, we propose multi-device design via maintenance of a consistency priorities hierarchy defined in three levels. The first two levels give support to the user's expectation in contexts of interchange (prone to task execution with different devices) and task migration (starting tasks with one device and finishing with other). On the other side, the third level provides task personalization according to the user's interest towards higher efficiency and satisfaction of use with a specific device. The evaluation of this methodology was conducted by an experiment with three pocket PC interfaces designed from an e-learning desktop application: the first interface was an exact replica of the original desktop version (Direct Migration), the second didn't maintain layout consistency and was based in a personalized design process adequate to the device (Linear) while the third applied only the first two levels of the consistency priorities hierarchy (Overview). The subjective evaluation results pointed the Overview approach as the best to maintain the user's mental model by preserving easiness, efficiency and safety of use on inter-device interaction. Additionally, both measured efficacy (task result accuracy) and efficiency (task execution mean time) were the same or even better with this approach. On the other hand, users revealed their preference for the task personalization present in the Linear approach. This result gives support to our proposal, corroborating that the efficacy generated by the first two levels of the consistency priorities hierarchy (task perception and execution) should be combined with the third level of personalization. This could be done by letting designers create interface patterns and make them available to users during interaction. Such combination should guarantee usability while constantly accessing one application through the same device or in contexts of alternated use and task migratio

ePulse: December 2004

Issues: December 3, 2004 December 10, 2004https://spiral.lynn.edu/studentnews/1119/thumbnail.jp

Spartan Daily, September 15, 2005

Volume 125, Issue 12https://scholarworks.sjsu.edu/spartandaily/10155/thumbnail.jp

The Neurocognitive Process of Digital Radicalization: A Theoretical Model and Analytical Framework

Recent studies suggest that empathy induced by narrative messages can effectively facilitate persuasion and reduce psychological reactance. Although limited, emerging research on the etiology of radical political behavior has begun to explore the role of narratives in shaping an individual’s beliefs, attitudes, and intentions that culminate in radicalization. The existing studies focus exclusively on the influence of narrative persuasion on an individual, but they overlook the necessity of empathy and that in the absence of empathy, persuasion is not salient. We argue that terrorist organizations are strategic in cultivating empathetic-persuasive messages using audiovisual materials, and disseminating their message within the digital medium. Therefore, in this paper we propose a theoretical model and analytical framework capable of helping us better understand the neurocognitive process of digital radicalization

Evaluating Saliency Map Explanations for Convolutional Neural Networks: A User Study

Convolutional neural networks (CNNs) offer great machine learning performance over a range of applications, but their operation is hard to interpret, even for experts. Various explanation algorithms have been proposed to address this issue, yet limited research effort has been reported concerning their user evaluation. In this paper, we report on an online between-group user study designed to evaluate the performance of "saliency maps" - a popular explanation algorithm for image classification applications of CNNs. Our results indicate that saliency maps produced by the LRP algorithm helped participants to learn about some specific image features the system is sensitive to. However, the maps seem to provide very limited help for participants to anticipate the network's output for new images. Drawing on our findings, we highlight implications for design and further research on explainable AI. In particular, we argue the HCI and AI communities should look beyond instance-level explanations.Comment: 10 pages, 6 figures, accepted long paper for ACM IUI 202