LEGAL EDUCATION IN GERMANY

<div><p>Predicting the subcellular localization of proteins conquers the major drawbacks of high-throughput localization experiments that are costly and time-consuming. However, current subcellular localization predictors are limited in scope and accuracy. In particular, most predictors perform well on certain locations or with certain data sets while poorly on others. Here, we present PSI, a novel high accuracy web server for plant subcellular localization prediction. PSI derives the wisdom of multiple specialized predictors via a joint-approach of group decision making strategy and machine learning methods to give an integrated best result. The overall accuracy obtained (up to 93.4%) was higher than best individual (CELLO) by ∼10.7%. The precision of each predicable subcellular location (more than 80%) far exceeds that of the individual predictors. It can also deal with multi-localization proteins. PSI is expected to be a powerful tool in protein location engineering as well as in plant sciences, while the strategy employed could be applied to other integrative problems. A user-friendly web server, PSI, has been developed for free access at <a href="http://bis.zju.edu.cn/psi/" target="_blank">http://bis.zju.edu.cn/psi/</a>.</p></div

Location, study area and sites distribution of this study.

<p>The green color represented the place where was dominated by grassland.</p

Relationship of Productivity to Species Richness in the Xinjiang Temperate Grassland - Fig 3

<p>Variation in alpha (A) and beta diversity (B), ANPP (C) and the CV of ANPP (D) among meadow steppe (MS), typical steppe (TS) and desert steppe (DS) in the Xinjiang temperate grasslands.</p

Relationship of Productivity to Species Richness in the Xinjiang Temperate Grassland - Fig 2

<p>Relationship of alpha and beta diversity, ANPP and the CV of ANPP with mean annual precipitation (MAP) (A,C,E,G) and mean annual temperature (MAT) (B,D,F,H) in the Xinjiang temperate grasslands. NS indicates that no significant relationship was detected.</p

Determination of the model topological structure.

<p>(a) Performance under different model structures with full data as input. Blue lines denote the training set and red lines denote the test set. Peak for prediction was on 10 neurons, 1 hidden layer. (b) Stepwise-selection performance was evaluated by AUROC. Obvious enhancement took place in step 2, 3 and 4. Peak was in step 9, with best community consisting of cello, Wolf PSORT, MultiLoc, mPloc, YLoc and iPsort. (c) With selected community of predictors, model topological structure was determined using the same method in (a). Peak was on 10 neurons, 1 hidden layer. (d) Model structure evaluation for combination of group-voting and neural network. Results from group-voting were taken as input for neural network. Peak was on 10 neurons, 1 hidden layer. The best results are boxed in dash.</p

Thermochromic Conductive Fibers with Modifiable Solar Absorption for Personal Thermal Management and Temperature Visualization

Thermal management textiles provide an energy-efficient strategy for personal thermal comfort by regulating heat flow between the human body and the environment. However, textiles with a single heating or cooling mode cannot realize temperature regulation under dynamic weather. Furthermore, monocolor textiles do not satisfy aesthetic requirements in a garment. Here, we develop a thermochromic (TC) conductive fiber with a coaxial structure composed of a conductive core and thermochromic shell. The TC conductive fiber-woven fabric has the ability of low-energy dynamic thermal management by combining Joule heating and modulation of solar absorption. Compared with commercial white fabrics, TC conductive fabrics exhibit a maximum temperature drop of 2.5 K, while the temperature of colored commercial fabrics is 7.5–16 K higher than that of commercial white fabrics in the hot. In the cold, the combination of Joule heating and the photothermal effect can provide desired thermal comfort for humans. Meanwhile, heat obtained from solar absorption brings the temperature of a fabric to a predetermined level, which saves energy of 625 W/m2 compared to a conductive-fiber-based textile. In addition, TC conductive fabrics with trichromatic evolution provide a sensitive and instant temperature visualization capable of identification of invisible and intense infrared radiation. These results provide another path to expand potential applications of wearable, flexible electronics

Tunable Electronic and Magnetic Properties of Boron/Nitrogen-Doped BzTMCp*TMBz/CpTMCp*TMCp Clusters and One-Dimensional Infinite Molecular Wires

We systematically studied the structural, electronic, and magnetic properties of B/N-doped BzTMCp*TMBz/CpTMCp*TMCp (Bz = C₆H₆; Cp = C₅H₅; Cp* = C_5–<i>x</i>D_<i>x</i>H₅; D = B, N; <i>x</i> = 1, 2; TM = V, Cr, Mn, Fe) sandwich clusters and their infinite molecular wires using first-principle calculations. It is found that the B/N-doped ligands do not degrade the linear stacked sandwich configurations compared with the pristine hydrocarbon ligand complexes. Different from the N-doped complexes, the B-doped ligands lead to more charge transfers from metal atoms, and such behavior allows for the enhanced structure stabilities and adds the advantage of electronic and magnetic properties manipulation. Moreover, the B-doped ligand makes the one-dimensional sandwich molecular wires conserve half metallic properties of the pristine molecular wires, undergo half metal–semiconductor transition, and vice versa. Thus, a novel strategy for efficient tailoring of the electronic and magnetic properties of metal–ligand sandwich complexes is presented

Thermochromic Conductive Fibers with Modifiable Solar Absorption for Personal Thermal Management and Temperature Visualization

Thermal management textiles provide an energy-efficient strategy for personal thermal comfort by regulating heat flow between the human body and the environment. However, textiles with a single heating or cooling mode cannot realize temperature regulation under dynamic weather. Furthermore, monocolor textiles do not satisfy aesthetic requirements in a garment. Here, we develop a thermochromic (TC) conductive fiber with a coaxial structure composed of a conductive core and thermochromic shell. The TC conductive fiber-woven fabric has the ability of low-energy dynamic thermal management by combining Joule heating and modulation of solar absorption. Compared with commercial white fabrics, TC conductive fabrics exhibit a maximum temperature drop of 2.5 K, while the temperature of colored commercial fabrics is 7.5–16 K higher than that of commercial white fabrics in the hot. In the cold, the combination of Joule heating and the photothermal effect can provide desired thermal comfort for humans. Meanwhile, heat obtained from solar absorption brings the temperature of a fabric to a predetermined level, which saves energy of 625 W/m2 compared to a conductive-fiber-based textile. In addition, TC conductive fabrics with trichromatic evolution provide a sensitive and instant temperature visualization capable of identification of invisible and intense infrared radiation. These results provide another path to expand potential applications of wearable, flexible electronics

[pt] UM FRAMEWORK PARA GERAÇÃO DE SPLITS BINÁRIOS EM ÁRVORES DE DECISÃO

<div><p>Autotrophic CO₂ fixation is the most important biotransformation process in the biosphere. Research focusing on the diversity and distribution of relevant autotrophs is significant to our comprehension of the biosphere. In this study, a draft genome of a bacterium from candidate phylum SBR1093 was reconstructed with the metagenome of an industrial activated sludge. Based on comparative genomics, this autotrophy may occur via a newly discovered carbon fixation path, the hydroxypropionate-hydroxybutyrate (HPHB) cycle, which was demonstrated in a previous work to be uniquely possessed by some genera from <i>Archaea</i>. This bacterium possesses all of the thirteen enzymes required for the HPHB cycle; these enzymes share 30∼50% identity with those in the autotrophic species of <i>Archaea</i> that undergo the HPHB cycle and 30∼80% identity with the corresponding enzymes of the mixotrophic species within <i>Bradyrhizobiaceae</i>. Thus, this bacterium might have an autotrophic growth mode in certain conditions. A phylogenetic analysis based on the 16S rRNA gene reveals that the phylotypes within candidate phylum SBR1093 are primarily clustered into 5 clades with a shallow branching pattern. This bacterium is clustered with phylotypes from organically contaminated environments, implying a demand for organics in heterotrophic metabolism. Considering the types of regulators, such as FnR, Fur, and ArsR, this bacterium might be a facultative aerobic mixotroph with potential multi-antibiotic and heavy metal resistances. This is the first report on <i>Bacteria</i> that may perform potential carbon fixation via the HPHB cycle, thus may expand our knowledge of the distribution and importance of the HPHB cycle in the biosphere.</p></div

Thermochromic Conductive Fibers with Modifiable Solar Absorption for Personal Thermal Management and Temperature Visualization

Thermal management textiles provide an energy-efficient strategy for personal thermal comfort by regulating heat flow between the human body and the environment. However, textiles with a single heating or cooling mode cannot realize temperature regulation under dynamic weather. Furthermore, monocolor textiles do not satisfy aesthetic requirements in a garment. Here, we develop a thermochromic (TC) conductive fiber with a coaxial structure composed of a conductive core and thermochromic shell. The TC conductive fiber-woven fabric has the ability of low-energy dynamic thermal management by combining Joule heating and modulation of solar absorption. Compared with commercial white fabrics, TC conductive fabrics exhibit a maximum temperature drop of 2.5 K, while the temperature of colored commercial fabrics is 7.5–16 K higher than that of commercial white fabrics in the hot. In the cold, the combination of Joule heating and the photothermal effect can provide desired thermal comfort for humans. Meanwhile, heat obtained from solar absorption brings the temperature of a fabric to a predetermined level, which saves energy of 625 W/m2 compared to a conductive-fiber-based textile. In addition, TC conductive fabrics with trichromatic evolution provide a sensitive and instant temperature visualization capable of identification of invisible and intense infrared radiation. These results provide another path to expand potential applications of wearable, flexible electronics