Recommendations For Future Research Activities Research Articles

Framework for the adoption, evaluation and impact of occupational Exoskeletons at different technology readiness levels: A systematic review

Work-related Musculoskeletal Disorders (WMSDs) are the most common occupational diseases caused by the prolonged performance of strenuous work, such as manual handling of loads or long-term maintenance of incongruous postures. Different safety protocols are implemented to reduce WMSDs and optimize the working environment, but one of the most promising solutions is using occupational exoskeletons (OEs). However, to truly acknowledge the benefits of OEs and be able to introduce them into daily business use, devices must pass several development and testing stages that determine the Technology Readiness Level (TRL). This review study aims to present an up-to-date collection of the most advanced assessments of exoskeletons for upper and back support, ranging from laboratory real-task simulations to operational scenarios in industrial sites. To identify relevant studies, we conducted comprehensive searches across different electronic databases, i.e., PubMed, Scopus, and Web of Science. Different keywords were used for the literature search, e.g., occupational exoskeleton, industrial exoskeleton, etc. Studies were included if they investigated the assessment of exoskeletons in the laboratory with real tasks or an industrial environment. We identified 45 research articles that fulfilled this selection criterion. Several features are compared and discussed in detail, such as industrial environment, experimental protocol, task performed, and exoskeleton typology. These data allowed us to formulate results that report the correspondence or discrepancy between the number of papers testing exoskeletons and WMSDs in different industrial sectors, the type of assessment performed, and the impact of exoskeletons on workers and industries at different TRLs. Among the results, the incidence of WMSDs in the manufacturing industry is 21.13%, while the adoption of exoskeletons in the same field is the highest with respect to the other industrial fields, at 44.45%. Electromyography (EMG) and Questionnaires were the most evaluated typologies across all development and testing stages (with an incidence of 64% across the selected articles). Additionally, an average reduction of EMG activity was reported, with 24% for Upper Limb and 20% for Back Support. Regarding the subjective assessment reported in the questionnaires, 68% of the studies reported a positive evaluation. Based on these outcomes, this work provides a framework for an effective evaluation process for the OEs to raise TRL with recommendations for future research activities.

Alzheimer’s Disease Diagnosis Using Machine Learning: A Survey

Alzheimer’s is a neurodegenerative disorder affecting the central nervous system and cognitive processes, explicitly impairing detailed mental analysis. Throughout this condition, the affected individual’s cognitive abilities to process and analyze information gradually deteriorate, resulting in mental decline. In recent years, there has been a notable increase in endeavors aimed at identifying Alzheimer’s disease and addressing its progression. Research studies have demonstrated the significant involvement of genetic factors, stress, and nutrition in developing this condition. The utilization of computer-aided analysis models based on machine learning and artificial intelligence has the potential to significantly enhance the exploration of various neuroimaging methods and non-image biomarkers. This study conducts a comparative assessment of more than 80 publications that have been published since 2017. Alzheimer’s disease detection is facilitated by utilizing fundamental machine learning architectures such as support vector machines, decision trees, and ensemble models. Furthermore, around 50 papers that utilized a specific architectural or design approach concerning Alzheimer’s disease were examined. The body of literature under consideration has been categorized and elucidated through the utilization of data-related, methodology-related, and medical-fostering components to illustrate the underlying challenges. The conclusion section of our study encompasses a discussion of prospective avenues for further investigation and furnishes recommendations for future research activities on the diagnosis of Alzheimer’s disease.

Self-healing materials: A pathway to immortal products or a risk to circular economy systems?

Product lifetime extension is key strategy for a functioning Circular Economy. Yet, the role of material innovation and how this might contribute to longer product and material lifetimes has not been widely discussed. Considering the significant environmental burden of material resource extraction, the longevity of materials must also be deliberated. Inspired by biological systems, self-healing materials are a type of smart material with the ability to inherently repair themselves when damaged. Although a technology extensively investigated within the material science community, the Circular Economy and product lifetime extension implications of implementing these into products has yet to be debated. Thus, this empirical study investigates: What are the benefits, opportunities, risks and challenges for applying self-healing materials to products within the context of the circular economy? In addition to a literature review, this research was carried out utilising a survey, two round table discussions, a workshop and interviews with industry experts from several different sectors. Through thematic analysis, it was discovered that the key benefits that self-healing materials might offer to circular systems are: the ability to maintain the primary lifetime of the product from both a technical and service lifetime perspective; assistance in the refurbishing and remanufacture of products through increasing the ease of disassembly and reassembly of products; and the potential to enable alternative business models. The key risks and limitations are: issues of persistence within the system; hybridization of materials - technosphere or biosphere? whether they will cycle in the system; limitations regarding their technology development, performance and lastly queries of their liability and compliance. These findings are valuable to both fields of self-healing materials and circular economy, and they not only demonstrate what sustainability factors must be understood when developing novel self-healing compositions but also expand our understanding for how these materials might be utilised to create longer lasting products from an industrial perspective. The paper concludes with a set of recommendations for future research activities which could not only help to advance the field of self-healing but also potentially product longevity and make immortal products a reality.

Microwave Radiometry at Frequencies From 500 to 1400 MHz: An Emerging Technology for Earth Observations.

Microwave radiometry has provided valuable spaceborne observations of Earth’s geophysical properties for decades. The recent SMOS, Aquarius, and SMAP satellites have demonstrated the value of measurements at 1400 MHz for observing surface soil moisture, sea surface salinity, sea ice thickness, soil freeze/thaw state, and other geophysical variables. However, the information obtained is limited by penetration through the subsurface at 1400 MHz and by a reduced sensitivity to surface salinity in cold or wind-roughened waters. Recent airborne experiments have shown the potential of brightness temperature measurements from 500–1400 MHz to address these limitations by enabling sensing of soil moisture and sea ice thickness to greater depths, sensing of temperature deep within ice sheets, improved sensing of sea salinity in cold waters, and enhanced sensitivity to soil moisture under vegetation canopies. However, the absence of significant spectrum reserved for passive microwave measurements in the 500–1400 MHz band requires both an opportunistic sensing strategy and systems for reducing the impact of radio-frequency interference. Here, we summarize the potential advantages and applications of 500–1400 MHz microwave radiometry for Earth observation and review recent experiments and demonstrations of these concepts. We also describe the remaining questions and challenges to be addressed in advancing to future spaceborne operation of this technology along with recommendations for future research activities.

Non-Dimensional Groups, Film Thickness Equations and Correction Factors for Elastohydrodynamic Lubrication: A Review

Apart from complex numerical models to predict the tribological behavior of elastohydrodynamically lubricated contacts, non-dimensional similarity groups and analytically solvable proximity equations can be used to estimate integral fluid film parameters. Based upon the pioneering work presented by Dowson and Higginson as well as Blok and Moes, these approaches have been continuously improved over the years by modifications or correction factors to capture different contact geometries (line-, point- or elliptical contacts) as well as to include fluid compression, thermal, non-Newtonian, starvation or roughness effects. Consequently, this review article aims at systematically reviewing these modifications/corrections and discussing their applicability as well as limitations before presenting some recommendations for future research activities.

Mapping of climate change research in the Arab world: a bibliometric analysis.

The attendant threats of climate change in the Arab world are accelerating at a high pace. The realization of these risks has promoted scientific research activities in climate change (i.e., modeling of climate change effects and development of mitigation and adaptation measures). A bibliometric analysis was desired to trace the status and trends of these research activities with an origin from the Arab world. The aim was to contribute to a better understanding of the scientific knowledge of climate change and its impacts and survey its evolution. Moreover, it is aimed at enabling recommendations for future research activities in this field. The data of this analysis were retrieved from the Scopus database using the most common terms of climate change to search titles, abstracts, and keywords. The collected data, in the form of documents referring to climate change, enabled to extract and further assess different quantitative and qualitative bibliometric indicators. Productivity of countries, sources, and institutions; collaboration figures; impact of published research; and citation rates were being among the assessed indicators. Subsequently, the data were analyzed using visualization maps and clustering techniques to characterize the hot spots and vital topics of research. A total of 2074 documents (1.2% of the total global research output) were retrieved from the Arab world. Saudi Arabia took the leading positions in terms of the number of publications (473 documents; 22.8%), impact of research (Hirsch index (h-index), 48), collected citations (10,573 citations), and number of documents from collaboration (389 documents). The USA was the most collaborated country with the Arab world (344 documents; 17.0%), followed by France (311 documents; 15.0%). The most productive journal was Plos One (42 documents; 2.0%), followed by the Arabian Journal of Geosciences (38 documents; 1.8%). Three institutions from Saudi Arabia were in the forefront in terms of research productivity (King Abdulaziz University, 124 documents; King Saud University, 117 documents; and King Abdullah University of Science and Technology, 102 documents). The vital climate change-related topics which will continue to be active in the future are climate modeling, physiology, genetics, and animals. The present data indicate a committed scientific research progress. Increasing the fund, capacity building, and development of regional experience with climate change-related disasters are key factors to promote the scientific research in this field.

Forest structural assessment using remote sensing technologies: an overview of the current state of the art

The Forestry and Forest Products Research Centre (CSIR), University of KwaZulu-Natal and MONDI Business Paper have recently embarked on a remote sensing cooperative. The primary focus of this cooperative is to explore the potential benefits associated with using remote sensing for forestry-related activities. A subproject within the cooperative is exploring the utility of various remote sensing technologies for forest structural assessment. This paper reports on the primary findings of a state-of-the-art review conducted by members of the cooperative and seeks to inform and contribute to the development of focused research projects. Both active and passive sensors are reviewed at varying spatial scales focusing primarily on accuracies attained. Medium-resolution studies focus on contextual forest attributes while high-resolution studies focused on location-based forest variables. Results from research consulted indicate that while remote sensing has a strong theoretical background, there are several limiting factors that need to be explored within a South African context. These include the saturation of satellite signals in mature forests, underestimation of tree heights using LiDAR data and the cost of LiDAR surveys. The review ends with recommendations for future research activities.

Recommendations of the National Heart, Lung, and Blood Institute Working Group on Future Direction in Cardiac Surgery

New surgical procedures, imaging modalities, and medical devices have improved therapy for many patients and made treatment possible for others who have had few options in the past. In February 2004, the National Heart, Lung, and Blood Institute's (NHLBI) Advisory Council proposed that the institute evaluate the status and future directions in cardiac surgery. In response to this recommendation, the NHLBI convened a working group of cardiac surgeons on May 7 and 8, 2004, to assess the state of cardiac surgery research, identify critical gaps in current knowledge, determine areas of opportunity, and obtain specific recommendations for future research activities. The working group discussed surgical revascularization, novel surgical approaches, valvular research directions, biotechnology and cell-based therapy, heart failure, imaging modalities, and barriers to clinical research and presents its recommendations here.

Construction, scoring and validation of the Short Evaluation of Eating Disorders (SEED)

The paper introduces the construction and scoring principles of the Short Evaluation of Eating Disorders (SEED), which was developed for the assessment of the key eating disorders symptoms. The questionnaire uses six items and allows the calculation of two severity indices for anorexia and bulimia nervosa symptoms. Data from two patient and one non-patient sample as well as therapist ratings are used to investigate different validity aspects of the SEED. Overall, the analyses underline the validity of the instrument. Recommendations for future research activities on the SEED are outlined. Copyright © 2005 John Wiley & Sons, Ltd and Eating Disorders Association.

An Evaluation of Expert Systems Technology for Decision Support

Upon its development, expert system technology has been heralded as a major breakthrough for decision support. However, despite the design of many prototype applications, the utilization of the technology in management support systems is still low if compared with initial expectations and the technology’s perceived potential. The paper analyses the different elements of the technology that have been discussed as advances for decision support, evaluates them in a decision support reference system, identifies the principal comparative advantages of expert systems in decision support, and analyses the validity of various limitations of expert system technology that have been discussed in literature. The discussion includes references to the situation in agricultural economics research and concludes with recommendations for future research activities.

Family and genetic studies of affective disorders.

This article summarizes discussion, conclusions, and recommendations of participants in a National Institute of Mental Health-sponsored workshop dealing with major issues in family and genetic studies of affective disorders. Key up-to-date findings in the field are reviewed with emphasis on areas of agreement. Remaining controversies and problems are identified, and a set of overall conclusions and recommendations for future research activities in the field is presented.