scholarly journals Do We Still Believe There Is a G-spot?

2021 ◽  
Author(s):  
Daniele Mollaioli ◽  
Andrea Sansone ◽  
Elena Colonnello ◽  
Erika Limoncin ◽  
Giacomo Ciocca ◽  
...  
Keyword(s):  
Female Sexuality ◽  
Vaginal Wall ◽  
Anterior Vaginal Wall ◽  
Research Field ◽  
Future Directions ◽  
Current State ◽  
Anatomical Point ◽  
Points Of View ◽  
New Evidence ◽  
Controversial Aspect

Abstract In the field of female sexuality, the existence of the so-called “G-spot” represents a topic still anchored to anecdotes and opinions and explained using non-scientific points, as well as being overused for commercial and mediatic purposes. Purpose of Review The scope of this review is to give an update on the current state of information regarding the G-spot and suggesting potential future directions in the research field of this interesting, albeit controversial, aspect of human sexual physiology. Recent Findings From evolutionary, anatomical, and functional points of view, new evidence has rebutted the original conceptualization of the G-spot, abandoning the idea of a specific anatomical point able to produce exceptional orgasmic experiences through the stimulation of the anterior vaginal wall, the site where the G-spot is assumed to be. From a psychological perspective, only few findings to date are able to describe the psychological, behavioral, and social correlates of the pleasure experience by G-spot-induced or, better, vaginally induced orgasm (VAO). Summary Recent literature suggests the existence of a G-spot but specifies that, since it is not a spot, neither anatomically nor functionally, it cannot be called G, nor spot, anymore. It is indeed a functional, dynamic, and hormone-dependent area (called clitorourethrovaginal, CUV, complex), extremely individual in its development and action due to the combined influence of biological and psychological aspects, which may trigger VAO and in some particular cases also female ejaculation (FE).

A Survey on Document-level Neural Machine Translation

2021 ◽  
Vol 54 (2) ◽  
pp. 1-36
Author(s):  
Sameen Maruf ◽  
Fahimeh Saleh ◽  
Gholamreza Haffari
Keyword(s):  
Machine Translation ◽  
Language Processing ◽  
Research Field ◽  
Translation Process ◽  
Future Directions ◽  
Translation Quality ◽  
Current State ◽  
Evaluation Strategies ◽  
Almost All ◽  
Document Level

Machine translation (MT) is an important task in natural language processing (NLP), as it automates the translation process and reduces the reliance on human translators. With the resurgence of neural networks, the translation quality surpasses that of the translations obtained using statistical techniques for most language-pairs. Up until a few years ago, almost all of the neural translation models translated sentences independently , without incorporating the wider document-context and inter-dependencies among the sentences. The aim of this survey article is to highlight the major works that have been undertaken in the space of document-level machine translation after the neural revolution, so researchers can recognize the current state and future directions of this field. We provide an organization of the literature based on novelties in modelling and architectures as well as training and decoding strategies. In addition, we cover evaluation strategies that have been introduced to account for the improvements in document MT, including automatic metrics and discourse-targeted test sets. We conclude by presenting possible avenues for future exploration in this research field.

scholarly journals Machine Learning Interpretability: A Survey on Methods and Metrics

Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 832 ◽  
Author(s):  
Diogo V. Carvalho ◽  
Eduardo M. Pereira ◽  
Jaime S. Cardoso
Keyword(s):  
Machine Learning ◽  
Social Impact ◽  
Research Field ◽  
Learning Systems ◽  
Future Directions ◽  
The Past ◽  
Current State ◽  
Black Boxes ◽  
Interpretable Models

Machine learning systems are becoming increasingly ubiquitous. These systems’s adoption has been expanding, accelerating the shift towards a more algorithmic society, meaning that algorithmically informed decisions have greater potential for significant social impact. However, most of these accurate decision support systems remain complex black boxes, meaning their internal logic and inner workings are hidden to the user and even experts cannot fully understand the rationale behind their predictions. Moreover, new regulations and highly regulated domains have made the audit and verifiability of decisions mandatory, increasing the demand for the ability to question, understand, and trust machine learning systems, for which interpretability is indispensable. The research community has recognized this interpretability problem and focused on developing both interpretable models and explanation methods over the past few years. However, the emergence of these methods shows there is no consensus on how to assess the explanation quality. Which are the most suitable metrics to assess the quality of an explanation? The aim of this article is to provide a review of the current state of the research field on machine learning interpretability while focusing on the societal impact and on the developed methods and metrics. Furthermore, a complete literature review is presented in order to identify future directions of work on this field.

scholarly journals Modern Scientific Visualizations on the Web

Informatics ◽  
2020 ◽  
Vol 7 (4) ◽  
pp. 37
Author(s):  
Loraine Franke ◽  
Daniel Haehn
Keyword(s):  
Scientific Visualization ◽  
State Of The Art ◽  
Three Dimensional ◽  
Emerging Technology ◽  
Research Field ◽  
Future Directions ◽  
Web Based ◽  
Current State ◽  
Visualization Systems ◽  
The Web

Modern scientific visualization is web-based and uses emerging technology such as WebGL (Web Graphics Library) and WebGPU for three-dimensional computer graphics and WebXR for augmented and virtual reality devices. These technologies, paired with the accessibility of websites, potentially offer a user experience beyond traditional standalone visualization systems. We review the state-of-the-art of web-based scientific visualization and present an overview of existing methods categorized by application domain. As part of this analysis, we introduce the Scientific Visualization Future Readiness Score (SciVis FRS) to rank visualizations for a technology-driven disruptive tomorrow. We then summarize challenges, current state of the publication trend, future directions, and opportunities for this exciting research field.

scholarly journals VAGINAL PLATELET-RICH PLASMA ADMINISTRATION TO IMPROVE FEMALE SEXUAL SATISFACTION

2021 ◽  
Vol 9 (07) ◽  
pp. 258-266
Author(s):  
Mostafa Abdulla Elsayed Mahmoud
Keyword(s):  
Sexual Dysfunction ◽  
Sexual Function ◽  
Female Sexuality ◽  
Platelet Rich Plasma ◽  
Vaginal Wall ◽  
Anterior Vaginal Wall ◽  
Autologous Plasma ◽  
The Third ◽  
High Satisfaction ◽  
Orgasmic Disorder

Objective:To investigate the effect of platelet-rich plasma (PRP) injection to the lower one-third of the anterior vaginal wall on sexual function, orgasm, in women with sexual dysfunction by scoring with FSFI. Materials and Methods:Three sessions of PRP (platelet rich human autologous plasma) were administered to the anterior vaginal wall of fiftyfemale patients with sexual dysfunctiondiagnosed by FSFI scoring card obtained in JAM clinic in Benha city Egypt and orgasmic disorder. Female Sexual Function Index (FSFI) total score ≤26 orgasmic subdomain score ≤3.75 were considered having sexual dysfunction and recruited in the study. Results:Following the application of the PRP, the total FSFI score was observed as 27.7±4.5 and the total score was 26 and above in patients having sexual dysfunction (p<0.001). Orgasm subdomain scores were found as 2.2±1.2 before the PRP treatment and 4.4±1.06 at the third dose after (p<0.001). Conclusion:PRP administration to the distal anterior vaginal wall improved female sexuality with high satisfaction by using multiple sessions (three month).

906: Pelvicol Implants for Prevention of Anterior Vaginal wall Prolapse: Randomized Multicenter Study

2006 ◽  
Vol 175 (4S) ◽  
pp. 293-293
Author(s):  
Ervin Kocjancic ◽  
Paolo Pifarotti ◽  
Fabio Magatti ◽  
Francesco Bernasconi ◽  
Diego Riva ◽  
...  
Keyword(s):  
Multicenter Study ◽  
Vaginal Wall ◽  
Anterior Vaginal Wall ◽  
Anterior Vaginal Wall Prolapse

Autonomous vehicles and freight traffic: towards better efficiency of road, rail or urban logistics?

2018 ◽  
Vol 58 (1) ◽  
pp. 41-52 ◽  
Author(s):  
Péter Bucsky
Keyword(s):  
Autonomous Vehicles ◽  
Road Transport ◽  
Transport Sector ◽  
Future Directions ◽  
Car Industry ◽  
Level Of Automation ◽  
Current State ◽  
Freight Traffic ◽  
Levels Of Automation ◽  
Private Car

Abstract The freight transport sector is a low profit and high competition business and therefore has less ability to invest in research and development in the field of autonomous vehicles (AV) than the private car industry. There are already different levels of automation technologies in the transport industry, but most of these are serving niche demands and answers have yet to be found about whether it would be worthwhile to industrialise these technologies. New innovations from different fields are constantly changing the freight traffic industry but these are less disruptive than on other markets. The aim of this article is to show the current state of development of freight traffic with regards to AVs and analyse which future directions of development might be viable. The level of automation is very different in the case of different transport modes and most probably the technology will favour road transport over other, less environmentally harmful traffic modes.

Green Synthesized Nanomaterials as Theranostic Platforms for Cancer Treatment: Principles, Challenges and the Road Ahead

2019 ◽  
Vol 26 (8) ◽  
pp. 1311-1327 ◽  
Author(s):  
Pala Rajasekharreddy ◽  
Chao Huang ◽  
Siddhardha Busi ◽  
Jobina Rajkumari ◽  
Ming-Hong Tai ◽  
...  
Keyword(s):  
Nanoparticle Synthesis ◽  
Research Field ◽  
Synthesis Methods ◽  
Synthetic Approach ◽  
Future Directions ◽  
The Road ◽  
New Methods ◽  
Recent Developments ◽  
Theranostic Applications ◽  
Insight Into

With the emergence of nanotechnology, new methods have been developed for engineering various nanoparticles for biomedical applications. Nanotheranostics is a burgeoning research field with tremendous prospects for the improvement of diagnosis and treatment of various cancers. However, the development of biocompatible and efficient drug/gene delivery theranostic systems still remains a challenge. Green synthetic approach of nanoparticles with low capital and operating expenses, reduced environmental pollution and better biocompatibility and stability is a latest and novel field, which is advantageous over chemical or physical nanoparticle synthesis methods. In this article, we summarize the recent research progresses related to green synthesized nanoparticles for cancer theranostic applications, and we also conclude with a look at the current challenges and insight into the future directions based on recent developments in these areas.

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