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Additional file 1. Supporting Information.

The aim is to evaluate current practices in search string validation/evaluation/testing/benchmarking across disciplines. The project comprises two separate literature surveys using representative samples of recent systematic reviews from two sources to assess current practice.

Registration for a systematic map of existing meta-analyses on topics related to sexual selection, with critical appraisal and bibliometric analysis.

This is a registration of meta-analysis that will broadly focus on the relationship between large eyespot patterns and bird behavioural responses.

This is a registration of a meta-analysis that will broadly address how dispersal and movement covary with behavioural phenotypes.

This is a registration of a meta-analysis that will broadly address the short- and long-term fitness costs and benefits of dispersal.

By using meta-analytic techniques, this project is aiming to answer the following questions: 1) Is there an overall effect of artificial light at night (ALAN) on melatonin levels in wild vertebrate species? 2) Are nocturnal species more vulnerable to ALAN than diurnal species (e.g., birds vs. rodents)? 3) Are captive populations more affected by ALAN than free-living populations? 4) Does ALAN affect central organs more than peripheral organs (e.g., pineal vs. blood)? 5) Is the nocturnal melatonin level more sensitive to ALAN than the diurnal melatonin level (e.g., melatonin sampled at nighttime vs. daytime)? 6) Is there a dose-response relationship between the ALAN intensity and the magnitude of suppression of melatonin? 7) Is there a relationship between ALAN spectral properties and the magnitude of suppression of melatonin and ALAN? 8) Does a long-term exposure to ALAN have a greater effect than short-term exposure? 9) Is the magnitude of suppression of melatonin dependent on the timing (window/phase) of exposure to ALAN (e.g., early night vs. midnight vs. late night vs. whole night)

This registration describes the protocol of a systematic survey to characterise the reporting practices of research articles including a simulation study in ecology and evolutionary biology for the evaluation of statistical methodologies.

Additional file 1. Supplementary data.

The average weight and flock uniformity of broilers in group housing is important information that allows producers to know the flock growth conditions and determine the selling time. However, gathering weight information of chickens is not only labor-intensive for humans but also frightening for the birds. In this study, an image-assisted rod-platform weighing system was developed to automatically monitor the average weight and flock uniformity of broilers in chicken houses. This weighing system consists of a computer and several weighing scales. Each weighing scale contains a rod-platform weighing module and a surveillance camera module. The principle of the automated weighing system is to estimate population weight information using samples. The design of the rod-platform weighing module was based on the perching habit of birds to attract more broilers to stand on the rod platform and thus get more weight samples. The surveillance camera module is used to detect the number of broilers on the rod using image processing technology. A data processing method called PORWI, which includes elimination of redundant records and trim of non-redundant records, was designed to optimize the results of chicken number identification from images to improve the accuracy of the results. An experiment was done in two small groups of broilers with approximately 100 chickens and 8.58 m2 of area for each group. A weekly weighing was conducted, and three kinds of weight information were obtained, which included manual population weight information (MPWI), manual sample-based weight information (MSWI), and automated sampling weight information (ASWI). Each weight information set comprised the group average weight and flock uniformity, which were then used to evaluate accuracy. The perching rate of chickens using the rod platform reached an average of 60 times h-1, and the rate was retained with increasing age. Compared with the MPWI obtained by individual weighing, the manual sample-based measurement method provided results with errors of 0% to +5%, while our automated weighing system achieved accuracies within ±2% for average weight and ±1.5% for flock uniformity. Keywords: Automatic weighing, Average weight, Broiler, Chicken detection, Uniformity.

TiO2-based materials have been widely studied in the field of photocatalysis, sensors, and solar cells. Besides that, TiO2-based materials are of great interest for energy storage and conversion devices, in particular rechargeable lithium ion batteries (LIBs). TiO2 has significant advantage due to its low volume change (