How to write an editorial?

Every doctor in their career must have read or written an editorial. Our field is very scientific, logical, evidence based and genuinely to write editorials for medical journals is indeed not an easy task. Need and use of editorialin medical journals is similar to that of newspapers, they provide a focus, give direction and stimulate interest1. This brings up thoughts of the tips and techniques of how to write an editorial? Reading editorials show how one writers style is different from another, same as all fingers of a hand are not equal. First what is an editorial: It is a piece of writing whereby the author is conveying facts to the readers, gives opinion on those facts with rationale to create a good balance between the written facts and opinion. To authenticate this the author provides reliable evidence for effective persuasion2,3. Secondly why write an editorial: It could be the forerunner of what to expect within the journal, get a not widely disseminated opinion across to readers or persuade readers to believe the authors opinion2. Thirdly what should be the structure format of an editorial: The title should be eye catching like an abstract of a scientific paper. The author should start with the fact to be portrayed on which opinion should be built which could be for or against. Keeping balance of fact: opinion, validate with evidence which will strengthen the foundation for persuasion, if the author wants to use persuasion.2 Format of editorial may vary depending on requirements of the journal but the fact writing editorials is a taxing feat especially when writing about unreported, underreported, controversial or innovative issues for creating awareness.4Nonetheless, it is a rewarding task one must indulge in at least once in career life.

Design of 3D-printed Cable Driven Humanoid Hand Based on Bidirectional Elastomeric Passive Transmission

Motion control of the human hand is the most complex part of the human body. It has always been a challenge for a good balance between the cost, weight, responding speed, grasping force, finger extension, and dexterity of prosthetic hand. To solve these issues, a 3D-printed cable driven humanoid hand based on bidirectional elastomeric passive transmission (BEPT) is designed in this paper. A semi-static model of BEPT is investigated based on energy conservation law to analyze the mechanical properties of BEPT and a dynamical simulation of finger grasping is conducted. For a good imitation of human hand and an excellent grasping performance, specific BEPT is selected according to human finger grasping experiments. The advantage of BEPT based humanoid hand is that a good balance between the price and performance of the humanoid hand is achieved. Experiments proved that the designed prosthetic hand’s single fingertip force can reach 33 N and the fastest fingertip grasping speed realized 0.6 s/180°. It also has a good force compliance effect with only 430g’s weight. It can not only grab fragile objects like raw eggs and paper cup, but also achieve strong grasping force to damage metal cans. This humanoid hand has considerable application prospects in artificial prosthesis, human-computer interaction, and robot operation.

Design of time-delayed safety switches for CRISPR gene therapy

CRISPR system is a powerful gene editing tool which has already been reported to address a variety of gene relevant diseases in different cell lines. However, off-target effect and immune response caused by Cas9 remain two fundamental problems. Inspired by previously reported Cas9 self-elimination systems, time-delayed safety switches are designed in this work. Firstly, ultrasensitive relationship is constructed between Cas9-sgRNA (enzyme) and Cas9 plasmids (substrate), which generates the artificial time delay. Then intrinsic time delay in biomolecular activities is revealed by data fitting and utilized in constructing safety switches. The time-delayed safety switches function by separating the gene editing process and self-elimination process, and the tunable delay time may ensure a good balance between gene editing efficiency and side effect minimization. By addressing gene therapy efficiency, off-target effect, immune response and drug accumulation, we hope our safety switches may offer inspiration in realizing safe and efficient gene therapy in humans.

Intelligent Recognition Method of Decorative Openwork Windows with Sustainable Application for Suzhou Traditional Private Gardens in China

Decorative openwork windows (DO-Ws) in Suzhou traditional private gardens play a vital role in Chinese traditional garden art. Due to the delicate and elegant patterns, as well as their rich cultural meaning, DO-Ws have quite high protection and utilization value. In this study, we firstly visited 15 extant traditional gardens in Suzhou and took almost 3000 photos to establish the DO-W datasets. Then, we present an effective visual recognition method named CSV-Net to classify different DO-Ws’ patterns in Suzhou traditional gardens. On the basis of the backbone module of the cross stage partial network optimized with the Soft-VLAD architecture, the proposed CSV-Net achieves a preferable representation ability for distinguishing different DO-Ws in practical scenes. The comparative experimental results show that the CSV-Net model achieves a good balance between its performance, robustness and complexity for identifying DO-Ws, also having further potential for sustainable application in traditional gardens. Moreover, the Canglang Pavilion and the Humble Administrator’s Garden were selected as the cases to analyze the relation between identifying DO-W types and their locations in intelligent approaches, which further reveals the design rules of the sustainable culture contained in Chinese traditional gardens. This work ultimately promotes the sustainable application of artificial intelligence technology in the field of garden design and inheritance of the garden art.

Postural Analysis: Description of a Dedicated System

Background Dispite of postural analysis is a fundamental tool for evaluating the neuromusculoskeletal structure of a subject a unique formal analysis process has not yet been determined. The aim of this work is to propose a postural analysis protocol t promote discussion with other practitioners so as to make continuous improvements in the proposed protocol to provide a tool that can serve the needs of specialists even more efficiently. Materials and Methods The proposed system consists of four subsystems: medical history data, photographic references, overall observations, and tests. Results Even though the initial results are encouraging, additional use of the described analysis system is considered essential to improve the technique and the skills of the operator. In this light, specific requests and observations from other professionals are essential, and obtaining these requests and observations is one of the purposes of the present article, as initially declared. Conclusions The proposed postural analysis system represents a good balance of various, often opposing needs, being easily completed and reasonably fast and repeatable, making it possible to compare time series data.

Postural Analysis: Description of a Dedicated System

Background Dispite of postural analysis is a fundamental tool for evaluating the neuromusculoskeletal structure of a subject a unique formal analysis process has not yet been determined. The aim of this work is to propose a postural analysis protocol t promote discussion with other practitioners so as to make continuous improvements in the proposed protocol to provide a tool that can serve the needs of specialists even more efficiently. Materials and Methods The proposed system consists of four subsystems: medical history data, photographic references, overall observations, and tests. Results Even though the initial results are encouraging, additional use of the described analysis system is considered essential to improve the technique and the skills of the operator. In this light, specific requests and observations from other professionals are essential, and obtaining these requests and observations is one of the purposes of the present article, as initially declared. Conclusions The proposed postural analysis system represents a good balance of various, often opposing needs, being easily completed and reasonably fast and repeatable, making it possible to compare time series data.

Analyzing the Effect of Hyper-Parameters on a Neural Network for Emotion Detection

Human emotion prediction is a tough task. The human face is extremely complex to understand. To build an optimal solution for human emotion prediction model, setting hyper-parameter plays a major role. It is a difficult task to train a neural network. The poor performance of the model can result from poor judgment of sub-optimal hyper- parameters before training the model. This study aims to compare different hyper-parameters and their effect to train the convolutional neural network for emotion detection. We used different methods based on values of validation accuracy and validation loss. The study reveals that SELU activation function performs better in terms of validation accuracy. Swish activation function maintains a good balance between validation accuracy and validation loss. As different combinations of parameters behave differently likewise in optimizers, RMS prop gives less validation loss with Swish whereas Adam performs better with ReLU and ELU activation function.

Hybrid Image-based Rendering for Free-view Synthesis

Image-based rendering (IBR) provides a rich toolset for free-viewpoint navigation in captured scenes. Many methods exist, usually with an emphasis either on image quality or rendering speed. In this paper we identify common IBR artifacts and combine the strengths of different algorithms to strike a good balance in the speed/quality tradeoff. First, we address the problem of visible color seams that arise from blending casually-captured input images by explicitly treating view-dependent effects. Second, we compensate for geometric reconstruction errors by refining per-view information using a novel clustering and filtering approach. Finally, we devise a practical hybrid IBR algorithm, which locally identifies and utilizes the rendering method best suited for an image region while retaining interactive rates. We compare our method against classical and modern (neural) approaches in indoor and outdoor scenes and demonstrate superiority in quality and/or speed.