Graphene ballistic nano-rectifier with very high responsivity

Although graphene has the longest mean free path of carriers of any known electronic material, very few novel devices have been reported to harness this extraordinary property. Here we demonstrate a ballistic nano-rectifier fabricated by creating an asymmetric cross-junction in single-layer graphene sandwiched between boron nitride flakes. A mobility ∼200,000 cm(2) V(−1) s(−1) is achieved at room temperature, well beyond that required for ballistic transport. This enables a voltage responsivity as high as 23,000 mV mW(−1) with a low-frequency input signal. Taking advantage of the output channels being orthogonal to the input terminals, the noise is found to be not strongly influenced by the input. Hence, the corresponding noise-equivalent power is as low as 0.64 pW Hz(−1/2). Such performance is even comparable to superconducting bolometers, which however need to operate at cryogenic temperatures. Furthermore, output oscillations are observed at low temperatures, the period of which agrees with the lateral size quantization

Paradigm of Time-sequence Development of the Intestine of Suckling Piglets with Microarray

The interaction of the genes involved in intestinal development is the molecular basis of the regulatory mechanisms of intestinal development. The objective of this study was to identify the significant pathways and key genes that regulate intestinal development in Landrace piglets, and elucidate their rules of operation. The differential expression of genes related to intestinal development during suckling time was investigated using a porcine genome array. Time sequence profiles were analyzed for the differentially expressed genes to obtain significant expression profiles. Subsequently, the most significant profiles were assayed using Gene Ontology categories, pathway analysis, network analysis, and analysis of gene co-expression to unveil the main biological processes, the significant pathways, and the effective genes, respectively. In addition, quantitative real-time PCR was carried out to verify the reliability of the results of the analysis of the array. The results showed that more than 8000 differential expression transcripts were identified using microarray technology. Among the 30 significant obtained model profiles, profiles 66 and 13 were the most significant. Analysis of profiles 66 and 13 indicated that they were mainly involved in immunity, metabolism, and cell division or proliferation. Among the most effective genes in these two profiles, CN161469, which is similar to methylcrotonoyl-Coenzyme A carboxylase 2 (beta), and U89949.1, which encodes a folate binding protein, had a crucial influence on the co-expression network

TiO2‐Based Schottky Diodes as Bidirectional Switches for Bipolar Resistive Memories

This study presents TiO2-based Schottky diodes designed as bidirectional switches for bipolar resistive memories. The TiO2 films in these Schottky diodes are prepared through an anodization process. The reverse current of these diodes exhibits an exponential increase with rising reverse voltage, ultimately matching the forward current. When two diodes are connected back-to-back, they demonstrate superior current–voltage symmetry and provide a wider off-state voltage range compared to a single diode, reaching up to 3.65 V. The adjustable off-state voltage range (0.40–3.65 V) of the switch, whether utilizing two diodes or a single diode, correlates well with the TiO2 layer thickness and oxygen partial pressure during Pt electrode sputtering. These diodes possess bidirectional switching characteristics and can serve as effective switch elements to address the sneak-path issue in bipolar resistive memories

A Fast and Effective Steganalytic Technique against Jsteg-Like Algorithms

Detection of hidden messages in images, also known as image steganalysis, is of great significance to network information security. In this paper, we propose a fast and effective steganalytic technique based on statistical distributions of DCT coefficients which is aimed at two kinds of popular JSteg-like steganographic systems, sequential JSteg and random JSteg for JPEG images. Our approach can not only determine the existence of hidden messages in JPEG images reliably, but also estimate the amount of hidden messages exactly. Its advantages also include simplicity, computational efficiency and easy implementation of real-time detection. Experiment results show the superiority of our approach over other steganalytic techniques

Effects of Environmentally Relevant Concentrations of Antipsychotic Drugs (Sulpiride and Clozapine) on Serotonergic and Dopaminergic Neurotransmitter Systems in Octopus Brain Tissue

Pharmaceuticals and personal care products (PPCPs) from specific activities often enter surface and groundwater, adversely affecting the physiological functions of non-target organisms and posing a serious threat to a wide range of aquatic organisms. Therefore, the aim of this study was to investigate the effects of environmentally relevant concentrations of the antipsychotic drugs sulpiride and clozapine on dopaminergic (DAergic) and serotonergic (5-hydroxytryptaminergic, i.e., 5-HTergic) neurotransmitter systems in the brain of a short-arm octopus (Octopus ochellatus). Octopus ochellatus adults were exposed to environmentally relevant concentrations of sulpiride, clozapine, or a mixture of sulpiride and clozapine. The effects of the drug on the transcription and expression levels of major functional molecules in the DAergic and 5-HTergic systems of the brain were analyzed. By antagonizing the dopamine receptor D2 (DRD2) or 5-hydroxytryptamine receptor 2A (5-HTR2A), the two drugs induced abnormal transcription and expression levels of important functional molecules in the brain’s DA and 5-HT signaling pathways. In addition, dose-dependent adverse reactions were observed with these antipsychotics. Our results suggest that sulpiride and clozapine interfere with DAergic and 5-HTergic neurotransmitter systems in the brain of Amphioctopus fangsiao (O. ochellatus), possibly affecting brain functions, such as reproduction, predation, camouflage, learning, and memory. As a result, they pose a serious threat to the health of Amphioctopus fangsiao

Rethinking auditory affective descriptors through zero-shot emotion recognition in speech

International audienceZero-shot speech emotion recognition (SER) endows machines with the ability of sensing unseen-emotional states in speech, compared with conventional SER endeavors on supervised cases. On addressing the zero-shot SER task, auditory affective descriptors (AADs) are typically employed to transfer affective knowledge from seen- to unseen-emotional states. However, it remains unknown which types of AADs can well describe emotional states in speech during the transfer. In this regard, we define and research on three types of AADs, namely, per-emotion semantic-embedding, per-emotion manually annotated, and per-sample manually annotated AADs, through zero-shot emotion recognition in speech. This leads to a systematic design including prototype- and annotation-based zero-shot SER modules, relying on the input from per-emotion and per-sample AADs, respectively. We then perform extensive experimental comparisons between human and machines’ AADs on the French emotional speech corpus CINEMO for positive-negative (PN) and within-negative (WN) tasks. The experimental results indicate that semantic-embedding prototypes from pretrained models can outperform manually annotated emotional dimensions in zero-shot SER. The results further demonstrate that it is possible for machines to understand and describe affective information in speech better than human beings, with the help of sufficient pretrained models

Spatio-temporal characterization of earthquake sequence parameters and forecasting of strong aftershocks in Xinjiang based on the ETAS model.

In this paper, the Integrated Nested Laplace Algorithm (INLA) is applied to the Epidemic Type Aftershock Sequence (ETAS) model, and the parameters of the ETAS model are obtained for the earthquake sequences active in different regions of Xinjiang. By analyzing the characteristics of the model parameters over time, the changes in each earthquake sequence are studied in more detail. The estimated values of the ETAS model parameters are used as inputs to forecast strong aftershocks in the next period. We find that there are significant differences in the aftershock triggering capacity and aftershock attenuation capacity of earthquake sequences in different seismic regions of Xinjiang. With different cutoff dates set, we observe the characteristics of the earthquake sequence parameters changing with time after the mainshock occurs, and the model parameters of the Ms7.3 earthquake sequence in Hotan region change significantly with time within 15 days after the earthquake. Compared with the MCMC algorithm, the ETAS model fitted with the INLA algorithm can forecast the number of earthquakes in the early period after the occurrence of strong aftershocks more effectively and can forecast the sudden occurrence time of earthquakes more accurately

Effects of Environmentally Relevant Concentrations of Antipsychotic Drugs (Sulpiride and Clozapine) on Serotonergic and Dopaminergic Neurotransmitter Systems in Octopus Brain Tissue

Pharmaceuticals and personal care products (PPCPs) from specific activities often enter surface and groundwater, adversely affecting the physiological functions of non-target organisms and posing a serious threat to a wide range of aquatic organisms. Therefore, the aim of this study was to investigate the effects of environmentally relevant concentrations of the antipsychotic drugs sulpiride and clozapine on dopaminergic (DAergic) and serotonergic (5-hydroxytryptaminergic, i.e., 5-HTergic) neurotransmitter systems in the brain of a short-arm octopus (Octopus ochellatus). Octopus ochellatus adults were exposed to environmentally relevant concentrations of sulpiride, clozapine, or a mixture of sulpiride and clozapine. The effects of the drug on the transcription and expression levels of major functional molecules in the DAergic and 5-HTergic systems of the brain were analyzed. By antagonizing the dopamine receptor D2 (DRD2) or 5-hydroxytryptamine receptor 2A (5-HTR2A), the two drugs induced abnormal transcription and expression levels of important functional molecules in the brain’s DA and 5-HT signaling pathways. In addition, dose-dependent adverse reactions were observed with these antipsychotics. Our results suggest that sulpiride and clozapine interfere with DAergic and 5-HTergic neurotransmitter systems in the brain of Amphioctopus fangsiao (O. ochellatus), possibly affecting brain functions, such as reproduction, predation, camouflage, learning, and memory. As a result, they pose a serious threat to the health of Amphioctopus fangsiao