Explore the vast range of titles available.

A scholarly recommendation system is an important tool for identifying prior and related resources such as literature, datasets, grants, and collaborators. A well-designed scholarly recommender significantly saves the time of researchers and can provide information that would not otherwise be considered. The usefulness of scholarly recommendations, especially literature recommendations, has been established by the widespread acceptance of web search engines such as CiteSeerX, Google Scholar, and Semantic Scholar. This article discusses different aspects and developments of scholarly recommendation systems. We searched the ACM Digital Library, DBLP, IEEE Explorer, and Scopus for publications in the domain of scholarly recommendations for literature, collaborators, reviewers, conferences and journals, datasets, and grant funding. In total, 225 publications were identified in these areas. We discuss methodologies used to develop scholarly recommender systems. Content-based filtering is the most commonly applied technique, whereas collaborative filtering is more popular among conference recommenders. The implementation of deep learning algorithms in scholarly recommendation systems is rare among the screened publications. We found fewer publications in the areas of the dataset and grant funding recommenders than in other areas. Furthermore, studies analyzing users’ feedback to improve scholarly recommendation systems are rare for recommenders. This survey provides background knowledge regarding existing research on scholarly recommenders and aids in developing future recommendation systems in this domain.

What are the good practices for the use of ADD-ON Treatments in IVF cycles in INDIA? Add on treatments in IVF are procedures and technologies which are offered to patients in hope of improving the success rates. A lot of add on treatments exist; most of them have limited evidence and data for the Indian patient population is miniscule. These interventions may have limited effects, so it is imperative that any new technology that is offered is evaluated properly and has enough evidence to suggest that it is safe and effective. This is the report of a 2-day consensus meeting where two moderators were assigned to a group of experts to collate information on Add on treatments in IVF in INDIA. This meeting utilised surveys, available scientific evidence and personal laboratory experience into various presentations by experts on pre-decided specific topics. Expert professionals from ISAR representing clinical and embryology fields. The report is divided in various components including the health of the Offspring, the various ADD ons available to an ART center, consensus points for each technology & qualifications and trainings for embryologists, the report and recommendations of the expert panel reflect the discussion on each of the topics and try to lay down good practice points for labs to follow. The recommendations are solely based on expert opinion. Future availability of data may warrant an update of the same. These guidelines can help labs across the country to standardise their ART services and improve clinical outcomes, it will also motivate clinics to collect data and report the use of Add ons to the national registry. The consensus meeting and writing of the paper was supported by funds from CooperSurgical India.

What are the good practice guidelines for Pre implantation genetic testing applicable in INDIA? Pre-Implantation Genetic Testing (PGT) is not new in India. It is used to identify euploid embryos for transfer, thus enabling couples to achieve a healthy pregnancy. There has been a lot of controversy surrounding PGT in the international forums; most of these debates have failed to reach a consensus on whether PGT should be offered or its concerns be validated more. This is the report of a 2-day consensus meeting where two moderators were assigned to a group of experts to collate information on Pre implantation genetic testing and embryo biopsy practices in INDIA. This meeting utilised surveys, available scientific evidence and personal laboratory experience into various presentations by experts on pre-decided specific topics. Expert professionals from ISAR representing clinical, embryological and genetic fields. The report is divided into various components defining the terminologies, the various requirements, qualifications, recommendations on PGT -A,M,SR, and quality management: the report and recommendations of the expert panel reflect the discussion on each of the topics and try to lay down good practice points for labs to follow. The recommendations are solely based on expert opinion. Future availability of data may warrant an update of the same. These guidelines can help labs across the country to standardise their PGT services and improve clinical outcomes. The consensus meeting and writing of the paper was supported by funds from CooperSurgical India.

What are the Safe and Ethical practices for ART applicable in INDIA? The Indian IVF industry is booming; with mushrooming of assisted reproductive technology (ART) clinics in the country, the need for regulation is immense. The ISAR has taken up this initiative to lead the way forward in establishing practice guidelines for the safe and ethical use of ARTs in our country. These guidelines discuss the points to consider before the starting of an IVF unit, to the designing of the laboratory, the staffing pattern and experience recommendations, laboratory safety guidelines, documentation and patient traceability, gamete traceability, handling biological material, the consumables and media, and different consents and checklists and also propose key performance indicators for the Indian scenario. This is the report of a 2-day consensus meeting where two moderators were assigned to a group of experts to collate information on safe and ethical ivf practices in INDIA. This meeting utilised surveys, available scientific evidence and personal laboratory experience into various presentations by experts on pre-decided specific topics. Expert professionals from ISAR representing clinical and embryology fields. The report is divided in various components including the regulations, the various requirements for an ART center, qualifications and trainings, recommendations on good practices and quality management: the report and recommendations of the expert panel reflect the discussion on each of the topics and try to lay down good practice points for labs to follow. The recommendations are solely based on expert opinion. Future availability of data may warrant an update of the same. These guidelines can help labs across the country to standardise their ART services and improve clinical outcomes. The consensus meeting and writing of the paper was supported by funds from CooperSurgical India.

Nowadays, a vast amount of clinical data scattered across different sites on the Internet hinders users from finding helpful information for their well-being improvement. Besides, the overload of medical information (e.g., on drugs, medical tests, and treatment suggestions) have brought many difficulties to medical professionals in making patient-oriented decisions. These issues raise the need to apply recommender systems in the healthcare domain to help both, end-users and medical professionals, make more efficient and accurate health-related decisions. In this article, we provide a systematic overview of existing research on healthcare recommender systems. Different from existing related overview papers, our article provides insights into recommendation scenarios and recommendation approaches. Examples thereof are food recommendation, drug recommendation, health status prediction, healthcare service recommendation, and healthcare professional recommendation. Additionally, we develop working examples to give a deep understanding of recommendation algorithms. Finally, we discuss challenges concerning the development of healthcare recommender systems in the future.

This paper reviews the research trends that link the advanced technical aspects of recommendation systems that are used in various service areas and the business aspects of these services. First, for a reliable analysis of recommendation models for recommendation systems, data mining technology, and related research by application service, more than 135 top-ranking articles and top-tier conferences published in Google Scholar between 2010 and 2021 were collected and reviewed. Based on this, studies on recommendation system models and the technology used in recommendation systems were systematized, and research trends by year were analyzed. In addition, the application service fields where recommendation systems were used were classified, and research on the recommendation system model and recommendation technique used in each field was analyzed. Furthermore, vast amounts of application service-related data used by recommendation systems were collected from 2010 to 2021 without taking the journal ranking into consideration and reviewed along with various recommendation system studies, as well as applied service field industry data. As a result of this study, it was found that the flow and quantitative growth of various detailed studies of recommendation systems interact with the business growth of the actual applied service field. While providing a comprehensive summary of recommendation systems, this study provides insight to many researchers interested in recommendation systems through the analysis of its various technologies and trends in the service field to which recommendation systems are applied.

With the emergence of personality computing as a new research field related to artificial intelligence and personality psychology, we have witnessed an unprecedented proliferation of personality-aware recommendation systems. Unlike conventional recommendation systems, these new systems solve traditional problems such as the cold start and data sparsity problems. This survey aims to study and systematically classify personality-aware recommendation systems. To the best of our knowledge, this survey is the first that focuses on personality-aware recommendation systems. We explore the different design choices of personality-aware recommendation systems, by comparing their personality modeling methods, as well as their recommendation techniques. Furthermore, we present the commonly used datasets and point out some of the challenges of personality-aware recommendation systems.

Recent advances in single-cell technologies have enabled high-throughput molecular profiling of cells across modalities and locations. Single-cell transcriptomics data can now be complemented by chromatin accessibility, surface protein expression, adaptive immune receptor repertoire profiling and spatial information. The increasing availability of single-cell data across modalities has motivated the development of novel computational methods to help analysts derive biological insights. As the field grows, it becomes increasingly difficult to navigate the vast landscape of tools and analysis steps. Here, we summarize independent benchmarking studies of unimodal and multimodal single-cell analysis across modalities to suggest comprehensive best-practice workflows for the most common analysis steps. Where independent benchmarks are not available, we review and contrast popular methods. Our article serves as an entry point for novices in the field of single-cell (multi-)omic analysis and guides advanced users to the most recent best practices.Practitioners in the field of single-cell omics are now faced with diverse options for analytical tools to process and integrate data from various molecular modalities. In an Expert Recommendation article, the authors provide guidance on robust single-cell data analysis, including choices of best-performing tools from benchmarking studies.

Extracellular vesicles (EVs) are increasingly recognized as important mediators of intercellular communication. They have important roles in numerous physiological and pathological processes, and show considerable promise as novel biomarkers of disease, as therapeutic agents and as drug delivery vehicles. Intriguingly, however, understanding of the cellular and molecular mechanisms that govern the many observed functions of EVs remains far from comprehensive, at least partly due to technical challenges in working with these small messengers. Here, we highlight areas of consensus as well as contentious issues in our understanding of the intracellular and intercellular journey of EVs: from biogenesis, release and dynamics in the extracellular space, to interaction with and uptake by recipient cells. We define knowledge gaps, identify key questions and challenges, and make recommendations on how to address these.Extracellular vesicles (EVs) mediate cell–cell communication in physiology and pathology but many questions remain about the mechanisms governing their delivery to recipient cells. This Expert Recommendation article highlights areas of progress and challenges in establishing the importance of EV-mediated communication in vivo.