Co-appearance of superconductivity and ferromagnetism in a Ca2_2RuO4_4 nanofilm crystal

By tuning the physical and chemical pressures of layered perovskite materials we can realize the quantum states of both superconductors and insulators. By reducing the thickness of a layered crystal to a nanometer level, a nanofilm crystal can provide novel quantum states that have not previously been found in bulk crystals. Here we report the realization of high-temperature superconductivity in Ca$_2$RuO$_4$ nanofilm single crystals. Ca$_2$RuO$_4$ thin film with the highest transition temperature $T_c$ (midpoint) of 64~K exhibits zero resistance in electric transport measurements. The superconducting critical current exhibited a logarithmic dependence on temperature and was enhanced by an external magnetic field. Magnetic measurements revealed a ferromagnetic transition at 180~K and diamagnetic magnetization due to superconductivity. Our results suggest the co-appearance of superconductivity and ferromagnetism in Ca$_2$RuO$_4$ nanofilm crystals. We also found that the induced bias current and the tuned film thickness caused a superconductor-insulator transition. The fabrication of micro-nanocrystals made of layered material enables us to discuss rich superconducting phenomena in ruthenates

Synthetic data generation method for hybrid image-tabular data using two generative adversarial networks

The generation of synthetic medical records using generative adversarial networks (GANs) has become increasingly important for addressing privacy concerns and promoting data sharing in the medical field. In this paper, we propose a novel method for generating synthetic hybrid medical records consisting of chest X-ray images (CXRs) and structured tabular data (including anthropometric data and laboratory tests) using an auto-encoding GAN ({\alpha}GAN) and a conditional tabular GAN (CTGAN). Our approach involves training a {\alpha}GAN model on a large public database (pDB) to reduce the dimensionality of CXRs. We then applied the trained encoder of the GAN model to the images in original database (oDB) to obtain the latent vectors. These latent vectors were combined with tabular data in oDB, and these joint data were used to train the CTGAN model. We successfully generated diverse synthetic records of hybrid CXR and tabular data, maintaining correspondence between them. We evaluated this synthetic database (sDB) through visual assessment, distribution of interrecord distances, and classification tasks. Our evaluation results showed that the sDB captured the features of the oDB while maintaining the correspondence between the images and tabular data. Although our approach relies on the availability of a large-scale pDB containing a substantial number of images with the same modality and imaging region as those in the oDB, this method has the potential for the public release of synthetic datasets without compromising the secondary use of data.Comment: 14 page

Intra- and Interspecies Variability of Single-Cell Innate Fluorescence Signature of Microbial Cell

Here we analyzed the innate fluorescence signature of the single microbial cell, within both clonal and mixed populations of microorganisms. We found that even very similarly shaped cells differ noticeably in their autofluorescence features and that the innate fluorescence signatures change dynamically with growth phases. We demonstrated that machine learning models can be trained with a data set of single-cell innate fluorescence signatures to annotate cells according to their phenotypes and physiological status, for example, distinguishing a wild-type Aspergillus nidulans cell from its nitrogen metabolism mutant counterpart and log-phase cells from stationary-phase cells of Pseudomonas putida We developed a minimally invasive method (confocal reflection microscopy-assisted single-cell innate fluorescence [CRIF] analysis) to optically extract and catalog the innate cellular fluorescence signatures of each of the individual live microbial cells in a three-dimensional space. This technique represents a step forward from traditional techniques which analyze the innate fluorescence signatures at the population level and necessitate a clonal culture. Since the fluorescence signature is an innate property of a cell, our technique allows the prediction of the types or physiological status of intact and tag-free single cells, within a cell population distributed in a three-dimensional space. Our study presents a blueprint for a streamlined cell analysis where one can directly assess the potential phenotype of each single cell in a heterogenous population by its autofluorescence signature under a microscope, without cell tagging.IMPORTANCE A cell\u27s innate fluorescence signature is an assemblage of fluorescence signals emitted by diverse biomolecules within a cell. It is known that the innate fluoresce signature reflects various cellular properties and physiological statuses; thus, they can serve as a rich source of information in cell characterization as well as cell identification. However, conventional techniques focus on the analysis of the innate fluorescence signatures at the population level but not at the single-cell level and thus necessitate a clonal culture. In the present study, we developed a technique to analyze the innate fluorescence signature of a single microbial cell. Using this novel method, we found that even very similarly shaped cells differ noticeably in their autofluorescence features, and the innate fluorescence signature changes dynamically with growth phases. We also demonstrated that the different cell types can be classified accurately within a mixed population under a microscope at the resolution of a single cell, depending solely on the innate fluorescence signature information. We suggest that single-cell autofluoresce signature analysis is a promising tool to directly assess the taxonomic or physiological heterogeneity within a microbial population, without cell tagging

Pengaruh Kandungan Lemak Dan Energi Yang Berbeda Dalam Pakan Terhadap Pemanfaatan Pakan Dan Pertumbuhan Patin (Pangasius Pangasius)

Pakan merupakan faktor terpenting dalam menunjang pertumbuhan dan perkembangan dalam kegiatan budidaya ikan, didalam pakan harus mengandung nutrisi yang lengkap. Penggunaan lemak dalam pakan sangat penting dalam menunjang pertumbuhan, karena lemak merupakan sumber energi yang memiliki nilai cukup tinggi dibanding protein dan karbohidrat. Pengunaan lemak sebagai “Protein sparing effect” yaitu pengganti protein sebagai sumber energi, sehingga penggunaan energi yang berasal dari protein dapat digunakan untuk menunjang pertumbuhan. Penelitian ini bertujuan untuk mengetahui pengaruh kandungan lemak dan energi yang berbeda dalam pakan terhadap pemanfaatan pakan dan pertumbuhan patin (P. pangasius).Metode penelitian yang dilakukan adalah metode eksperimen dengan rancangan acak lengkap (RAL) yang terdiri dari 4 perlakuan dan 3 kali ulangan. Perlakuan yang diterapkan adalah perbedaan kandungan lemak dan energi antara lain pada perlakuan A (8%, 281,98 kkal); B (9%, 286,74 kkal); C (10%, 289,45 kkal); dan D (11%, 296,21 kkal). Ikan uji yang digunakan adalah patin (Pangasius pangasius) yang berasal dari Banjarnegara, Jawa Tengah. Ikan uji yang digunakan dengan bobot rata-rata 6,48±0,68 g/ekor, dengan padat tebar 1 ekor/liter. Pakan diberikan 3 kali dalam sehari yaitu pada sekitar pukul 08.00 WIB, pukul 12.00 WIB, dan pukul 16.00 WIB. Pemberian pakan diberikan secara at satiation.Hasil penelitian menunjukan bahwa kandungan lemak dan energi yang berbeda dalam pakan buatan, memberikan pengaruh nyata (P<0,05) terhadap EPP, PER, dan RGR pada patin (P. pangasius), sedangkan pada variabel TKP dan SR tidak memberikan pengaruh nyata (P>0,05). Perlakuan D diperoleh hasil tertinggi dengan nilai TKP (25,27±0,06g), EPP (54,62±0,93%), PER (1,82±0,03%), RGR (0,75±0,02%/hari), dan SR (95,83%).Kandungan lemak dan energi yang berbeda dalam pakan, memberikan pengaruh nyata terhadap EPP, PER, dan RGR; tetapi tidak memberikan pengaruh nyata terhadap TKP dan SR patin (P. pangasius). Feed played an important role in fish farming and therefor, it should contain complete nutrition. The use of fat in fish diet was required for energy supply and producing of growth. The fat was used to subtitute energy source from protein, so the use of protein for fish growth can be optimaled. This study was aimed to observe the influence of different fat and energy on the feed utilization and growth of P. pangasius.The experimental method used was completely randomized design, which consisted of 4 treatments and 3 replicats, that were trial diets with ratio of treatment A (8%, 281.98 kkal); B (9%, 286.74 kkal); C (10%, 289.45 kkal); dan D (11%, 296.21 kkal) respectively. The ratio of vegetable oil : animal oil was equal. The fish used was P. pangasius, which was quired from Banjarnegara, Central Java. It\u27s average body weight of 6.48±0.68 g. The fish was maintenance in 8 l-tanks for 35 days. with a stocking density of 1 fish/l. The fish were feed 3 times a day, at 08.00, 12.00, and 16.00 by appliying at satiation method.The fish fed on resulted on dietary of different fat and energy on the feed on values significantly different (P<0.05) on the EPP, PER and RGR. But for feed in TKP and SR values (P>0.05). TKP value (25.27±0.06g) EPP (54.62±0.93%) , PER (1.82±0.03%) , RGR (0.75±0.02%/day), and SR (95.83%).It was concluded that the influence of different fat and energy on the feed utilization and growth of pangasius in feed significantly effect on, EPP, PER, and RGR while for TKP and SR where not significantly different

Laser-induced fluorescence imaging of plants using a liquid crystal tunable filter and charge coupled device imaging camera

ArticleReview of Scientific Instruments. 76, 106103 (2005)journal articl