We report the direct observation of Landau quantization in Bi2Se3 thin films by using a low-temperature scanning tunneling microscope. In particular, we discovered the zeroth Landau level, which is predicted to give rise to the half-quantized Hall effect for the topological surface states. The existence of the discrete Landau levels (LLs) and the suppression of LLs by surface impurities strongly support the 2D nature of the topological states. These observations may eventually lead to the realization of quantum Hall effect in topological insulators.

Plant variety and cultivar identification is one of the most important aspects in agricultural systems. The large number of varieties or landraces among crop plants has made it difficult to identify and characterize varieties solely on the basis of morphological characters because they are non stable and originate due to environmental and climatic conditions, and therefore phenotypic plasticity is an outcome of adaptation. To mitigate this, scientists have developed and employed molecular markers, statistical tests and software to identify and characterize the required plant cultivars or varieties for cultivation, breeding programs as well as for cultivar-right-protection. The establishment of genome and transcriptome sequencing projects for many crops has led to generation of a huge wealth of sequence information that could find much use in identification of plants and their varieties. We review the current status of plant variety and cultivar identification, where an attempt has been made to describe the different strategies available for plant identification. We have found that despite the availability of methods and suitable markers for a wide range of crops, there is dearth of simple ways of making both morphological descriptors and molecular markers easy, referable and practical to use although there are ongoing attempts at making this possible. Certain limitations present a number of challenges for the development and utilization of modern scientific methods in variety or cultivar identification in many important crops.

We present a system for activity recognition from passive RFID data using a deep convolutional neural network. We directly feed the RFID data into a deep convolutional neural network for activity recognition instead of selecting features and using a cascade structure that first detects object use from RFID data followed by predicting the activity. Because our system treats activity recognition as a multi-class classification problem, it is scalable for applications with large number of activity classes. We tested our system using RFID data collected in a trauma room, including 14 hours of RFID data from 16 actual trauma resuscitations. Our system outperformed existing systems developed for activity recognition and achieved similar performance with process-phase detection as systems that require wearable sensors or manually-generated input. We also analyzed the strengths and limitations of our current deep learning architecture for activity recognition from RFID data.

No abstract

MicroRNAs (miRNAs) play critical regulatory roles mainly through cleaving their target mRNAs or repressing gene translation during plant development. Grapevines are among the most economically important fruit crops with available whole genome sequences. Studies on grapevine miRNAs (Vv-miRNAs) are also widely available. However, studies on the regulation mode of Vv-miRNAs on their target mRNAs during grapevine development have not been studied well, especially at the transcriptome-wide level. Here, six small RNA and mRNA libraries from various grapevine tissues were constructed for Illumina and Degradome sequencing. Subsequently, we systematically analyzed the spatiotemporal variations in the regulation of the target genes of regulation of Vv-miRNAs. In total, 242 known and 132 novel Vv-miRNAs and 193 target mRNAs were identified, including 103 target mRNAs for known and 90 target mRNAs for novel miRNAs, were validated in one or more of the tissues examined. More than 50 % of novel miRNAs were expressed exclusively in the flowers and berries, where they cleaved their target genes in a tissue-specific manner, especially, the breadth of their cleavage sites in flower tissues. Moreover, six novel miRNAs in berries responded to exogenous gibberellin and/or ethylene under a quantitative real time RT-PCR analysis, which confirmed their regulatory functions during berry development. Up to 93.6 % of the known miRNAs were highly conserved in various tissues, where their expression levels exhibited dynamic variations during grapevine development. Significantly, some Vv-miRNA families had one key member that acted as the main regulator of their target genes during grapevine development.

Nanostructured high-entropy alloys (HEAs) with tunable compositions have attracted intensive scientific attention on their unique structural, catalytic, and energy-storage capabilities. In this work, we introduce a straightforward twostep fabrication procedure to synthesize free-standing single phase multicomponent nanoporous HEAs consisting of 12 or 16 different elements including both noble and non-noble metals. The electrocatalytic results reveal that the synergistic elemental combinations of such HEAs with a fine porous structure give rise to enhanced hydrogen evolution reaction (HER) and oxygen reduction reaction (ORR) catalytic activities superior to the commercial Pt/C and, at the same time, enhanced oxygen evolution reaction (OER) catalytic activity over the commercial IrO 2 catalyst. The demonstrated multifunctional catalytic performance of these free-standing nanoporous HEAs would facilitate large current densities in the water splitting reactions, rechargeable Zn-air batteries, and many other catalytic, sensing, and energy applications.

No abstract

Adsorption, desorption, and precipitation reactions at environmental interfaces govern the bioavailability, mobility, and fate of organic phosphates in terrestrial and aquatic environments. Glycerophosphate (GP) is a common environmental organic phosphate, however, surface adsorption reactions of GP on soil minerals have not been well understood. The adsorption characteristics of GP on goethite were studied using batch adsorption experiments, zeta ( ) potential measurements, and in situ attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR). GP exhibited fast initial adsorption kinetics on goethite, followed by a slow adsorption. The maximum adsorption densities of GP on goethite were 2.00, 1.95, and 1.44 μmol m -2 at pH 3, 5, and 7, respectively. Batch experiments showed decreased adsorption of GP with increasing pH from 3 to 10. Zeta potential measurements showed a remarkable decrease in the goethite isoelectric point upon GP adsorption (from 9.2 to 5.5), suggesting the formation of innersphere surface complexes. In addition, the ATR-FTIR spectra of GP sorbed on goethite were different from those of free GP at various pH values. These results suggested that GP was bound to goethite through the phosphate group by forming inner-sphere surface complexes.