Social Robot Co-Design Canvases: A Participatory Design Framework

Design teams of social robots are often multidisciplinary, due to the broad knowledge from different scientific domains needed to develop such complex technology. However, tools to facilitate multidisciplinary collaboration are scarce. We introduce a framework for the participatory design of social robots and corresponding canvas tool for participatory design. The canvases can be applied in different parts of the design process to facilitate collaboration between experts of different fields, as well as to incorporate prospective users of the robot into the design process. We investigate the usability of the proposed canvases with two social robot design case studies: a robot that played games online with teenage users and a librarian robot that guided users at a public library. We observe through participants’ feedback that the canvases have the advantages of (1) providing structure, clarity, and a clear process to the design; (2) encouraging designers and users to share their viewpoints to progress toward a shared one; and (3) providing an educational and enjoyable design experience for the teams.

Utilization of Transfer Learning Model in Detecting COVID-19 cases from Chest X-Ray Images

Diagnosis of COVID-19 pneumonia using patients’ chest X-Ray images is new but yet important task in the field of medicine. Researchers from different parts of the globe have developed many deep learning models to classify COVID-19. The performance of feature extraction and classifier plays a vital role in the recognizing the different patterns in the image. The pivotal process is the extraction of optimum features from the chest X-Ray images. The main goal of this study is to design an efficient hybrid algorithm that integrates the robustness of MobileNet (using transfer learning approach) to extract features and Support Vector Machine (SVM) to classify COVID-19. Experiments were conducted to test the proposed algorithm and it was found to have a high classification accuracy of 95%.

Utilization of Transfer Learning Model in Detecting COVID-19 Cases From Chest X-Ray Images

Diagnosis of COVID-19 pneumonia using patients’ chest X-Ray images is new but yet important task in the field of medicine. Researchers from different parts of the globe have developed many deep learning models to classify COVID-19. The performance of feature extraction and classifier plays a vital role in the recognizing the different patterns in the image. The pivotal process is the extraction of optimum features from the chest X-Ray images. The main goal of this study is to design an efficient hybrid algorithm that integrates the robustness of MobileNet (using transfer learning approach) to extract features and Support Vector Machine (SVM) to classify COVID-19. Experiments were conducted to test the proposed algorithm and it was found to have a high classification accuracy of 95%.

Traditional Water Conservation Techniques in India

Water conservation is a practice needed for survival. In India, various techniques are used to save water, which are practical and climate-responsive. From the age of the Indus valley civilization, till today many practices are seen in different parts of India. The traditional practices used for conserving water and even cooling buildings in ancient times. Forts surrounded water bodies for protection from enemies. Indians continue to build structures to catch and store the monsoon rains. Some unique water conservation techniques are still practiced in India and are efficient. These are sometimes better than the presentday water-saving techniques. The paper summarizes the transformation over the years in the construction and advancements of water conservation practices in India. In dry regions, these practices have helped people survive tough times. Keywords: Rain water harvesting, Storage, Tanks, Traditional methods, Water conservation

Broad-spectrum survey of medicinal plants as a potential source of anticancer agents

Cancer is an abnormal and uncontrolled growth of cells that spreads through cell division. There are different types of medicines available to treat cancers, but no drug is found to be fully effective and safe for humans. The major problem involved in the cancer treatments is the toxicity of the established drug and their side effects. Medicinal plants are used as folk medicines in Asian and African populations for thousands of years. 60% of the drugs for treating cancer are derived from plants. More than 3000 plants have anticancer activity. The present review aims at the study of a broad spectrum survey of plants having anticancer components for different type of cancers. This article consists of 364 medicinal plants and their different parts as potential Source of Anticancer Agents.

Analysis of Glucosinolate Content and Metabolism Related Genes in Different Parts of Chinese Flowering Cabbage

Glucosinolates (GSLs) are important secondary metabolites that play important defensive roles in cruciferous plants. Chinese flowering cabbage, one of the most common vegetable crops, is rich in GSLs and thus has the potential to reduce the risk of cancer in humans. Many genes that are involved in GSL biosynthesis and metabolism have been identified in the model plant Arabidopsis thaliana; however, few studies investigated the genes related to GSL biosynthesis and metabolism in Chinese flowering cabbage. In the present study, the GSL composition and content in three different organs of Chinese flowering cabbage (leaf, stalk, and flower bud) were determined. Our results showed that the total GSL content in flower buds was significantly higher than in stalks and leaves, and aliphatic GSLs were the most abundant GSL type. To understand the molecular mechanisms underlying the variations of GSL content, we analyzed the expression of genes encoding enzymes involved in GSL biosynthesis and transport in different tissues of Chinese flowering cabbage using RNA sequencing; the expression levels of most genes were found to be consistent with the pattern of total GSL content. Correlation and consistency analysis of differentially expressed genes from different organs with the GSL content revealed that seven genes (Bra029966, Bra012640, Bra016787, Bra011761, Bra006830, Bra011759, and Bra029248) were positively correlated with GSL content. These findings provide a molecular basis for further elucidating GSL biosynthesis and transport in Chinese flowering cabbage.

Beyond race?

While at the moment the world seems to be divided along racial lines and ‘race’ appears to be a central axe of social inclusion and exclusion, in this article we ask whether it is thinkable to go ‘beyond race’. We want to explore the idea of going ‘beyond race’ in four different ways: (1) ‘Beyond race’ as a demographic reality when people of mixed origin form the majority of population; (2) ‘Beyond race’ in regard to policies that aim at combatting inequalities also along color lines, yet are no longer dependent on a notion of race. (3) ‘Beyond race’ in terms of political mobilizations, e.g. the possibility or desirability of anti-racist movements not grounded in identity politics and (4) ‘Beyond race’ as a conceptualization of race that is decoupling biology and culture, or even to stop thinking in racial categories altogether, yet without de-politicizing any marginalised group’s, history and experience. We are aware that this questioning of race, and by implication of ethnicity, may be a typical hang-up of two authors based in Europe. We have invited authors from different parts of the world, and with different academic backgrounds to reflect in a commentary on the issues we raise and to explain their position.

Investigating Antisense Transcription at the HTT Locus

Antisense transcription is an important mechanism of gene expression regulation. Antisense RNAs play a role in mRNA processing, translation and epigenetic modifications of DNA and histones in the locus of their origin, leading to gene silencing. HTT is a widely expressed gene, the mutation of which causes Huntington’s disease. The product of the gene plays an important role in many cell processes, such as intracellular trafficking, cell division, autophagy, and others. An antisense transcription has been found at the HTT 5’-region. The HTT-AS gene has been reported to affect HTT expression in a Dicer-dependent manner. In this study, we analyzed extensive data from RNA-seq experiments for antisense transcription at the HTT locus. Antisense transcripts corresponding to the HTT-AS gene were not found. However, we revealed a number of antisense transcripts in different parts of the locus that may take part in the regulation and functioning of the HTT gene. Keywords: antisense transcription, HTT-AS, HTTregulation, Huntington’s disease

Reference Values and the Z-Score Values of Tricuspid Annular Plane Systolic Excursion in Chinese Children

Objective To establish age-specific and body surface area (BSA)-specific reference values of Tricuspid Annular Plane Systolic Excursion (TAPSE) for children under 15 years old in China. Study design A retrospective study was conducted in Children's Hospital Attached to the Capital Institute of Pediatrics. A total of 702 cases were included in this research to establish reference values of TAPSE. SPSS 25.0 (IBM) was used for data analysis. Lambda-mu-sigma method was used to calculate and construct the age-specific and BSA-specific percentiles and Z-score curves of TAPSE. Results The mean value of TAPSE increased with age and BSA from 0 to 15 years in a nonlinear way and reached the adult level (17mm) until 1 year old. No difference could be observed in genders. Conclusions TAPSE values increased with age and BSA in Chinese children aged between 0-15 years and there was no difference between boys and girls. A multi-center study from different parts of China is supposed to be conducted in the future to reflect the whole spectrum of TAPSE in Chinese children.

Neuropeptides and the Nodes of Ranvier in Cranial Headaches

The trigeminovascular system (TGV) comprise of the trigeminal ganglion with neurons and satellite glial cells, with sensory unmyelinated C-fibers and myelinated Aδ-fibers picking up information from different parts of the head and sending signals to the brainstem and the central nervous system. In this review we discuss aspects of signaling at the distal parts of the sensory fibers, the extrasynaptic signaling between C-fibers and Aδ-fibers, and the contact between the trigeminal fibers at the nerve root entry zone where they transit into the CNS. We also address the possible role of the neuropeptides calcitonin gene-related peptide (CGRP), the neurokinin family and pituitary adenylyl cyclase-activating polypeptide 38 (PACAP-38), all found in the TGV system together with their respective receptors. Elucidation of the expression and localization of neuropeptides and their receptors in the TGV system may provide novel ways to understand their roles in migraine pathophysiology and suggest novel ways for treatment of migraine patients.