Abnormal phenotypic defects detection of jujube using explainable machine learning enhanced computer vision.

Jujube is susceptible to biotic and abiotic adversity stresses resulting in abnormal phenotypic defects. Therefore, abnormal phenotype fruits should be removed during postharvest sorting to increase added value. An improved maximum horizontal diameter linear regression (MHD-LR) method for size grading of jujube prior to detection of abnormal phenotypic defects was developed.

Multi-scale bioimpedance flexible sensing with causal hierarchical machine learning for fish vitality evaluation under adversity stress.

It is expected that waterless low-temperature stressful environments will induce stress responses in fish and affect their vitality. In this study, we developed a laser-activated, stretchable, highly conductive liquid metal (LM) based flexible sensor system for fish multi-scale bioimpedance detection. It has excellent conformability, electrical conductivity, bending and cyclic tensile stability.

[PyRERT: Python Research Environment for Radiation Therapy].

Objective: The Python research environment for radiation therapy (PyRERT) is a set of business software for hospital physicists to conduct radiation therapy research.

Methods: Choose the open source Enthought Tool Suite（ETS） as the core external dependency library of PyRERT. PyRERT is divided into base layer, content layer and interaction layer, and each layer is composed of different functional modules.

[Study on the sensitivity of a volumetric modulated arc therapy plan verification equipment on multi-leaf collimator opening and closing errors and its gamma pass rate limit].

To investigate the pass rate limit of plan verification equipment for volumetric modulated arc therapy (VMAT) plan verification and its sensitivity on the opening and closing errors of multi-leaf collimator (MLC), 50 cases of nasopharyngeal carcinoma VMAT plan with clockwise and counterclockwise full arcs were randomly selected. Eight kinds of MLC opening and closing errors were introduced in 10 cases of them, and 80 plans with errors were generated. Firstly, the plan verification was conducted in the form of field-by-field measurement and true composite measurement.

Sensitivity of Three Patient-Specific Quality Assurance Systems to MLC Aperture Errors With Volumetric Modulated Arc Therapy.

To compare the sensitivity of ArcCHECK (AC), portal dosimetry (PD), and an in-house logfile-based system (LF) to multileaf collimators (MLC) aperture errors and the ability to identify these errors. For 12 retrospective original head and neck volumetric modulated arc therapy (VMAT) plans, MLC aperture errors of ± 0.4mm, ± 1.

[Design and Validation of Remote Radiotherapy System].

Telemedicine technology is a means of deploying medical resources with low cost and high efficiency. A set of remote radiotherapy system based on Citrix was designed in this paper, so that the senior radiation therapists from the developed areas can provide medical services effectively for the patients in the rural areas. This paper focused on the design ideas and the detail of the technical implementation of how to design a remote radiotherapy system based on the existing equipment in the primary hospital.

[Application of REDCap Software in Radiotherapy Quality Control Platform REDCap].

In order to digitize the radiotherapy quality control data, convenient to carry on the dynamic quantitative analysis to the equipment condition, this paper presents a low-cost open radiotherapy quality control platform based on REDCap. The platform uses the REDCap data acquisition system as a carrier to achieve the digital storage of this data, anytime, anywhere data entry, and can be easily derived for data analysis by creating REDCap research projects and inputting radiotherapy quality control data. It is proved that REDCap can be used in the construction of radiotherapy quality control platform.

[Development of a Compared Software for Automatically Generated DVH in Eclipse TPS].

Objective: This study is to automatically calculate the dose volume histogram(DVH) for the treatment plan, then to compare it with requirements of doctor's prescriptions.

Methods: The scripting language Autohotkey and programming language C# were used to develop a compared software for automatically generated DVH in Eclipse TPS. This software is named Show Dose Volume Histogram (ShowDVH), which is composed of prescription documents generation, operation functions of DVH, software visualization and DVH compared report generation.

[Development of a Software for Automatically Generated Contours in Eclipse TPS].

Objective: The automatic generation of planning targets and auxiliary contours have achieved in Eclipse TPS 11.0.

Methods: The scripting language autohotkey was used to develop a software for automatically generated contours in Eclipse TPS.

Modeling traceability information and functionality requirement in export-oriented tilapia chain.

Background: Tilapia has been named as the 'food fish of the 21st century' and has become the most important farmed fish. China is the world leader in tilapia production and export. Identifying information and functional requirements is critical in developing an efficient traceability system because traceability has become a fundamental prerequisite for exporting aquaculture products.