Improved isolation of good-quality total RNA from the optic stalk of Mud crab, Scylla paramamosain

Abstract An improved and efficient protocol was developed based on the TaKaRa RNAiso Plus Kit (Code: D9108A) for isolating good-quality total RNA from the optic stalk of mud crab, Scylla paramamosain . The protocol was based on the Trizol method with modifications. The carapace overlapping the optic stalk was retained with RNA in regular protocol. In order to remove the abundant deposition correlative with the carapace which makes the isolation of RNA particularly difficult, 5M potassium acetate solution (pH = 6.0) was added before the precipitation of RNA, and the temperature of RNA deposition was also decreased to -70\ubaC to ensure the stabilization of RNA. Good-quality total RNA from the optic stalk of S. paramamosain could be easily isolated with this modified protocol and three conventional methods were also employed to confirm the quality of RNA. This improved method would be helpful in facilitating molecular research of crabs involving RNA from the optic stalk

Solid Electrolytic Substrates for High Performance Transistors and Circuits

Ionic liquids/gels have been used to realize field-effect-transistors (FETs) with two dimensional (2D) transition metal dichalcogenides (TMDs) [1]. Although near ideal gating has been reported with this biasing scheme, it suffers from several issues such as, liquid nature of the electrolyte, its humidity dependency and freezing at low temperatures [2]. Recently, air-stable solid electrolytes have been developed, thanks to the advancement in battery technology [3]. Although insulator-to-metal transition has been reported, the realization of 2D TMD FETs on solid electrolytic substrate has not been reported so far to the best of our knowledge [4]. In this work, we demonstrate a lithium ion (Liion) solid electrolytic substrate based TMD transistor and a CMOS amplifier, with near ideal gating efficiency reaching 60 mV/dec subthreshold swing, and amplifier gain ~34, the highest among comparable inverte

Lithium-ion electrolytic substrates for sub-1V high-performance transition metal dichalcogenide transistors and amplifiers

Electrostatic gating of two-dimensional (2D) materials with ionic liquids (ILs), leading to the accumulation of high surface charge carrier densities, has been often exploited in 2D devices. However, the intrinsic liquid nature of ILs, their sensitivity to humidity, and the stress induced in frozen liquids inhibit ILs from constituting an ideal platform for electrostatic gating. Here we report a lithium-ion solid electrolyte substrate, demonstrating its application in high-performance back-gated n-type MoS2 and p-type WSe2 transistors with sub-threshold values approaching the ideal limit of 60 mV/dec and complementary inverter amplifier gain of 34, the highest among comparable amplifiers. Remarkably, these outstanding values were obtained under 1 V power supply. Microscopic studies of the transistor channel using microwave impedance microscopy reveal a homogeneous channel formation, indicative of a smooth interface between the TMD and underlying electrolytic substrate. These results establish lithium-ion substrates as a promising alternative to ILs for advanced thin-film devices

COVID-19 in Japan: What could happen in the future? (Recent developments on inverse problems for partial differential equations and their applications)

This paper was finished in February, 2020 and posted in MedRxiv on Feb. 28th, 2020.COVID-19 has been impacting on the whole world critically and constantly Since December 2019. We have independently developed a novel statistical time delay dynamic model on the basis of the distribution models from CCDC. Based only on the numbers of confirmed cases in different regions in China, the model can clearly reveal that the containment of the epidemic highly depends on early and effective isolation. We apply the model on the epidemic in Japan and conclude that there could be a rapid outbreak in Japan if no effective quarantine measures are carried out immediately

Status Identification in Support of Fishing Effort Estimation for Tuna Longliners in Waters near the Marshall Islands Based on AIS Data

Visualising the fishing behaviour of vessels and quantifying the spatial distribution of fishing effort is the scientific basis for assessing and managing fisheries resources. The information on the dynamics of fishing vessel voyages provided by the automatic identification system (AIS) of vessels serves as high-precision fishery data and provides a means of quantifying fishing effort with high spatial and temporal resolution in the tuna longline fishery. Based on the AIS data of five tuna longliners operating in the waters near the Marshall Islands from 2020 to 2021, this study used three methods, namely the threshold screening method, the construction of a BP neural network and the support vector machine (SVM) to identify the fishing and non-fishing status of the tuna longliners, respectively. This study investigates the status identification and fishing effort estimation of the tuna longliner (VESSEL A) in 2021 based on the constructed optimal model, and spatial correlation analyses are performed between the fishing effort estimated in hours based on AIS data and in hooks based on fishing logbook data, by month. The results showed (1) the recognition accuracy of the threshold screening method is 89.9%, the recognition accuracy of the BP neural network classification model is 95.11%, the kappa coefficient is 0.51, the recognition accuracy of the SVM classification model is 95.74% and the kappa coefficient is 0.52; (2) in comparison, the SVM classification model performs better than the other two status identification methods for tuna longliners; and (3) the correlation coefficients between the two types of effort of VESSEL A were greater than 0.79 on all fishing months, indicating that there was no significant difference in the spatial and temporal distribution between the two types of effort. This study suggests that the SVM model can be used to identify the status and estimate the fishing effort of longliners