Miracle-dz/UniFAR-FTUs huggingface dataset:
Monoclinic Sodium Iron Hexacyanoferrate Cathode and Non-Flammable Glyme-Based Electrolyte for Inexpensive Sodium-Ion Batteries

One of the key requirements of large-scale grid-storage systems is development of inexpensive and safe batteries. Sodium-ion batteries using earth-abundant Fe or Ti based cathodes and anodes would be ideal candidates for such storage systems. Herein, a new phase of Na-rich and all Fe Prussian Blue Analogue, monoclinic Na2Fe2(CN)6.2H2O, is reported as a potential cathode for such grid-storage sodium-ion batteries. This water-insoluble and air-stable cathode can deliver 85 mAh g−1 at an average discharge voltage of 3 V vs Na/Na+ with excellent cycle life (3,000 cycles). Many facets about its sodium storage characteristics are discussed with particular emphasis on the role of interstitial water on the sodium storage performance and its conversion to the dehydrated rhombohedral phase. Its compatibility with a newly developed non-flammable glyme-based liquid electrolyte, 1M NaBF4 in tetraglyme, is also disclosed along with general electrochemical and thermal characterization of this electrolyte for sodium-ion battery application. Finally, three different types of full cells are revealed with either monoclinic or rhombohedral phase as cathode and graphite or the recently reported Na2Ti3O7 Na3-xTi3O7 pathway of Na2Ti3O7 as anode. Full cell energy densities of 70–90 Wh kg−1 (using cumulative cathode and anode weights) could be obtained without any pre-cycling steps. This new cathode and safe electrolyte may hold great promise toward development of inexpensive, non-flammable and highly stable grid-storage sodium-ion batteries.
Transcriptomic and Systematic Analyses Reveal TabZIP Family Members Involved in the Response to Different Concentrations of Auxin in Wheat Root

Background Auxin involved in many aspects of root development and physiology which is considered a potential target for improving crop quality and yield. Yet, there has been no systematic investigation on roots underlying the response to different concentrations of auxin. This study evaluated the effects of different concentrations of auxin on the wheat root transcriptome. We also investigated the wheat bZIP transcription factor family and preliminarily analyzed the structural function of the members responding to different concentrations of auxin. Results In response to 1 µM auxin, 308 and 326 genes whose expression were upregulated and downregulated, respectively, were identified in wheat roots. However, there were 6118 and 2333 genes whose expression were downregulated and upregulated, respectively, in response to 50 µM auxin. GO enrichment and KEGG pathway analyses revealed that the inhibitory effect of 1 µM auxin in roots manifested as an enrichment of the glycolysis/gluconeogenesis and glutathione metabolism pathways. Enrichment of the phenylpropanoid biosynthesis and plant-pathogen interaction pathways in response to 50 µM auxin indicated a stress response. In addition, A total of 176 TabZIP genes were identified from the wheat genome and gene structure and protein motif analyses indicated that closely clustered TabZIP genes were relatively conserved within each subgroup. There are 4 TabZIPs were downregulated in response to 1 µM auxin, 17 TabZIPs were downregulated and 4 TabZIPs were upregulated in response to 50 µM auxin through the transcriptome data. These auxin-responsive TabZIP genes may be used as candidate genes for root regulation. Conclusions The results revealed that the transcriptomes underlying the root regulation in response to these two auxin concentrations were different. These findings provide a comprehensive molecular framework of the auxin regulatory network as well as potential key genes for improving the wheat root system to optimize its absorption of water and nutrients, and finally improve wheat quality and yield.
The manufacturing technology optimisation model: the crucial contribution of industrial mass-training in improving company performance

Fierce global competition, volatile changing market and the spread of advanced manufacturing technology have forced significant changes in the competitive arena of manufacturing industries. This manuscript presents the Manufacturing Technology Optimisation Model, which discusses the crucial role of industrial mass training in improving manufacturing company performance. This model provides insights toward the proper allocation of resources which will bring about optimum condition of improved company performance. Four lessons can be learnt from the model: (a) companies should focus first on improving their capability in effectiveness - doing the right things - before pursuing efficiency and adaptability; (b) the attainment of effectiveness can be accelerated by providing employees with on-the-job mass training on certain practices; (c) companies can continue to pursue the efficiency after they have excellent capability in effectiveness; (d) the pursuit of adaptability may simultaneously advance with that of efficiency, aimed at more responsive to customer requirements. A subsequent paper will demonstrate that selection of appropriate ‘people-based’ practices may accelerate improved company performance.
Fractal Manifold Method in Systems with Self-Organized Criticality

Complex nonlinear dynamic systems with a tendency to self-organization are considered herein. The article is aimed at obtaining a quantitative assessment of self-organization criticality in theoretical and practical aspects for computer calculations. The problem of direct processing of large arrays of non-Gaussian data is solved without the usual prior transformation into Gaussian data. The proposed method is relevant for situations when the cross-correlation of data in the array is significant, reflecting such processes as avalanches, chain reactions, and collective effects. In the simplest case of one-dimensional space, an algorithm is given for construction of a fractal manifold – a new mathematical object, the argument for which was proposed in [9]. The construction of the fractal manifold made it possible to reveal an unusual property of the Gauss function, which confirms the chosen approach. The fractal manifold method makes it possible to determine more accurately the average value due to its smaller scale in comparison to the Euclidean scale. The algorithm is invariant for linear transformations of the initial data set, has renormalization-group invariance, and determines the intensity of cross-correlation (self-organized criticality effect) of the data. The description of the self-organized criticality state is universal and does not depend on the nature of data correlation similar to the universality of the random variables’ distribution in the absence of data correlation. This method can be used with large sets of non-Gaussian or strange data obtained in information technology.
The effect of warm compress intervention on post herniotomy pain

The most complaint symptom for post herniotomy patients is pain on the surgical site. Pain may affect patients' ability to mobilize and may attribute to prolonged length of stay in the hospital. Many complementary therapies have been used to decrease pain intensity for patients post-surgery, but warm compress intervention on post herniotomy pain has not been explored significantly. To investigate the effect of warm compress intervention on post herniotomy pain. The study used a pre-post test quasi-experimental with control group design. Sixteen post herniotomy adult patients of Wates Kulon Progo District General Hospital of Yogyakarta were recruited for each group. The intervention group was given warm compress interventions two times per day for two days. Pain intensity was assessed pre and post-intervention with the Numerical Rating Scale, while the control group only received regular analgetic. The researchers used the Wilcoxon Signed-Rank Test and Mann-Whitney U Test to compare pain intensity in each group and between groups.Fifteen out of 16 patients who received warm compress intervention rated decreased pain intensity as the rest did not experience any differences after the intervention (Z=-3.354, p=.001). Unlike the control group, only 3 out of 16 patients experienced declined pain intensity after two days of herniotomy when the rest did not encounter any changes (Z=-1.732, p=.083). The mean rank between intervention and control groups were significantly different (U=20.000, p=.000). Warm compress intervention is a non-invasive nursing intervention which is effective in reducing the pain intensity of post herniotomy patients.
Trajectory prediction for intelligent vehicles using spatial‐attention mechanism

It is of great interest for autonomous vehicles to predict the trajectory of other vehicles when planning a safe trajectory. To accurately predict the trajectory of the target vehicle, the interaction between vehicles must be considered. Interaction aware prediction methods track the previous trajectories of both the target vehicle and its surrounding vehicles. In this study, the authors consider trajectory prediction as a sequence-to-sequence prediction problem. They tackle this problem with an LSTM encoder–decoder framework. Moreover, they propose two spatial-attention mechanisms to account for the interaction between vehicles, i.e. context attention and lane attention. Spatial-attention mechanisms adopt the selective-attention mechanism of human drivers. They choose context vectors to help the model understand the surrounding environment better and thus improve its prediction accuracy. They evaluate the authors’ methods on the highD data set recorded in German highways with root mean squared error metric. Their experimental results show superior performance to other state-of-the-art methods. Code is available at https://github.com/momo1986/Spatial-attention.
Detection of negative sequence components in diagnosing and tolerating open‐gate fault for a voltage‐source inverter in an induction motor drive

: Power converter faults represent about 12% of electrical system faults. More than 31% of these converter faults are caused by the transistors in the converters. These transistor failures are classified into open-gate and short-gate faults. A fault diagnostic and tolerant control system is proposed in this study for an open-gate fault of a three-phase voltage-source inverter (VSI). The system under study is an induction motor fed by a VSI. The diagnostic technique uses a detection method of positive and negative sequence components, which requires only the measurement of motor currents. The diagnostic signals are derived from the negative sequence components of the motor currents. These signals are then compared using logic functions to trigger the tolerant control. In the case of an open-gate fault, the tolerant system converts the inverter topology from six switches to four switches where the faulty inverter leg is disconnected. The proposed control method was evaluated under steady-state and transient conditions through simulation and experiments. The results confirm an effective and reliable performance of the motor under an open-gate fault.
The Node Status as a Prioritization Strategy for Replica Balancing in a HDFS Cluster

Data replication is the main fault tolerance mechanism of HDFS, the Hadoop Distributed File System. Although replication is essential to ensure high availability and reliability, the replicas might not always be placed evenly among the nodes. The HDFS Balancer is an integrated solution of Apache Hadoop that performs replica balancing through the rearrangement of the data blocks stored in the file system. The Balancer, however, demands a high computational effort of the nodes during its operation. This work presents a customization for the HDFS Balancer that considers the status of the nodes as a strategy to minimize the overhead caused by the balancing operation in the cluster. To this end, metrics obtained at runtime are used as a way to prioritize the nodes during data redistribution, making it occurs primarily between nodes with low communication traffic. Also, the Balancer starts to operate aiming at a minimum balance level, reducing the number of data transfers required to even up the data stored in the cluster. The evaluation results showed that the proposed customization allows reducing the time and bandwidth needed to reach the system balance.
Frustrated Lewis pair-mediated recrystallization of CH3NH3PbI3 for improved optoelectronic quality and high voltage planar perovskite solar cells

Films of the hybrid lead halide perovskite CH3NH3PbI3 were found to react with pyridine vapor at room temperature leading to complete bleaching of the film. In dry air or nitrogen atmosphere recrystallization takes place, leading to perovskite films with markedly improved optical and photovoltaic properties. The physical and chemical origin of the reversible bleaching and recrystallization mechanism was investigated using a variety of experimental techniques and quantum chemical calculations. The strong Lewis base pyridine attacks the CH3NH3PbI3. The mechanism can be understood from a frustrated Lewis pair formation with a partial electron donation of the lone-pair on nitrogen together with competitive bonding to other species as revealed by Raman spectroscopy and DFT calculations. The bleached phase consists of methylammonium iodide crystals and an amorphous phase of PbI2(pyridine)2. After spontaneous recrystallization the CH3NH3PbI3 thin films have remarkably improved photoluminescence, and solar cell performance increased from 9.5% for as-deposited films to more than 18% power conversion efficiency for recrystallized films in solar cells with planar geometry under AM1.5G illumination. Hysteresis was negligible and open-circuit potential was remarkably high, 1.15 V. The results show that complete recrystallization can be achieved with a simple room temperature pyridine vapor treatment of CH3NH3PbI3 films leading to high quality crystallinity films with drastically improved photovoltaic performance.
AN ANALYSIS OF STUDENTS’ ATTITUDES TOWARDS MATHEMATICAL PROBLEM SOLVING ABILITY

This study aims to identify the attitudes of students on the ability to solve problems with mathematics. The attitudes of students evaluated in this study include self-confidence, anxiety, enthusiasm, and self-regulated mathematics learning. The research subjects were 79 students in grade VIII. The researcher re-concentrated on three students from all of them, who had mathematical problem-solving skills in the high, medium, and low groups. These subjects were selected from students who focused on problem-solving mathematical skills, questionnaires on the attitudes of students, and interviews with researchers. The instruments used to collect were an instrument of problem-solving mathematical ability and an instrument of students’ attitudes in the form of student attitudes towards mathematics questionnaire. The research method used is descriptive qualitative. The findings have shown that the majority of students are balanced between excited and unexcited on mathematics. The majority reason for students who are enthusiastic about mathematics is that they can improve their abilities, talents, and knowledge. Others have different explanations such as having the resources; formulas and problems, making them feel challenged; thinking that mathematics is important. The majority of students had a low category of self-confidence and anxiety towards mathematics, and had a moderate level of enthusiasm in mathematics and self-regulated learning.
Ionomer-like structure in mature oil paint binding media

Infrared spectra of samples from oil paintings often show metal carboxylate bands that are broader and shifted compared to those of crystalline metal soap standards (metal complexes of long-chain saturated fatty acids). Using quantitative attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR), it is demonstrated that the broad metal carboxylate band is typically too intense to be explained by carboxylates adsorbed on the surface of pigment particles or disordered metal complexes of saturated fatty acids. The metal carboxylate species associated with the broad bands must therefore be an integral part of the polymerized binding medium. Small-angle X-ray scattering (SAXS) measurements on model ionomer systems based on linseed oil revealed that the medium contains ionic clusters similar to more classical ionomers. These structural similarities are very helpful in understanding the chemistry of mature oil paint binding media and the potential degradation mechanisms that affect oil paintings.
Driving Health Study Report No 3: Health service use following work-related injury and illness in Australian truck drivers.

This report, the third from the Driving Health Study, presents findings from analysis of Victorian workers’ compensation data in order to: 1. Examine patterns of health service use by truck drivers and other transport workers following a work-related injury and illness; and 2. Identify demographic, occupation, injury/condition, claim and geographic factors that are associated with health service use.
Multiscale simulations in organic electronics: Applications to polymer wrapping of single-walled carbon nanotubes, bulk charge mobilities and organic-organic interfaces

The thesis deals with the simulation of organic molecular systems on multi scales. It covers the development of a coarse-grained model for polymer wrapping of single-walled carbon nanotubes (SWCNTs) which provides good predictions of the polymer's selectivity towards different types of SWCNTs. Furthermore, the bulk charge mobility is analyzed for different amorphous and crystalline materials from first principle.
INTENSIVE TECHNOLOGY FOR PROCESSING BIRD LITTER IN ORGANOMINERAL FERTILIZERS

This paper presents the composition and properties of bird droppings, substandard phosphorites of Central Kyzylkum - mineralized mass and slurry phosphorite, the results of obtaining organomineral fertilizers by acidifying bird droppings with 30% nitric acid from 7 to 4 pH, followed by decomposition of substandard phosphorites by acidified bird droppings with nitric acid. It is shown that when processing substandard phosphorites with acidified bird droppings with 30% nitric acid due to the interaction of organic acids and residual nitric acid with substandard phosphorites, the assimilable form of P 2 O 5 contained in substandard phosphorites increases by 6.5-7.0 times, acidification of bird droppings with nitric acid and addition of substandard phosphorites leads to a sharp decrease in the release of nitrogen-containing and various volatile organic substances into the gas phase affecting the environment. The optimal conditions and the basic technological scheme for obtaining organomineral fertilizers based on bird droppings and substandard phosphorites are given. When processing the mineralized mass with acidified droppings with nitric acid to the pH value = 5 and the ratio of bird droppings: mineralized mass = 1: 0.10, a fertilizer of the composition P 2 O 5total. 5.04%, P 2 O 5 : P 2 O 5total = 62.38%, CaO total = 11.79%, N 3.86%, organic substances 44.20% and humic substances 14.20% is obtained. When processing slurry phosphorite taken in the same ratio and pH, the fertilizer contains P 2 O 5total. 4.42 %; P 2 O 5 : P 2 O 5total = 69.64%, CaO total = 10.51%, N 3.89%, organic substances 44.43% and humus substances 14.30%.
Forecasting and Mapping Coffee Borer Beetle Attacks Using GSTAR-SUR Kriging and GSTARX-SUR Kriging Models

The research aimed to use Generalized Space Time Autoregressive (GSTAR) and GSTARX modeling with the Seemingly Unrelated Regression (SUR) approach and combine them with the Kriging interpolation technique in an unobserved location. The case study was coffee borer beetle forecasting in Probolinggo Regency, East Java, Indonesia, with Watupanjang Village as the unobserved location. The results show that GSTAR-SUR Kriging and GSTARX-SUR Kriging models can predict coffee borer beetle attacks in unobserved areas with high accuracy. It is indicated by the Mean Absolute Percentage Error (MAPE) values of less than 10%. The addition of exogenous variables (rainfall) into the model is proven to improve the accuracy of the model. The Root-Mean-Square Error (RMSE) value of the GSTARX-SUR Kriging model is smaller than the GSTAR-SUR Kriging model. The structure of the model produced from the research, GSTARX-SUR (1,[1,12])(10,0,0), can be used as a reference in modeling coffee borer beetle attacks in other regencies. Map of forecasting coffee borer beetle attack shows that the spread of coffee borer beetle attack is spatial clustering with the attack center located in the eastern region of Probolinggo Regency.
Influence of Mercury Exposure on Oxidative Stress Biomarkers in Longitudinal Muscle of Holothuria forskali

Mercury (Hg) pollution is featuring as one of the major threat for marine ecosystem, biota and human health. Thereby, the objective of the current study was to evaluate the effect of environmentally relevant concentrations of mercury on oxidative stress, enzymatic and non-enzymatic antioxidant defenses and metallothionein levels in the longitudinal muscle of sea cucumber Holothuria forskali. With this purpose, sea cucumber were exposed to graded concentrations of mercury chloride HgCl2 (40, 80 and 160 µg L-1) for 96 h under controlled conditions. Our findings revealed that Hg burden in the longitudinal muscle tended to increase with increasing HgCl2 concentrations. The Hg exposure promoted muscular oxidative stress as evidenced by the increased levels of malondialdehyde (MDA), advanced oxidation protein product (AOPP) and metallothionein (MT) of treated animals compared with controls. Additionally, significant increases in the activities of the enzymatic (glutathione peroxidase (GPx), superoxide dismutase (SOD) and catalase (CAT)) and non-enzymatic (non-protein thiol (NPSH) and glutathione (GSH)) antioxidants were also observed in all treated groups. Overall, this study proved that mercury is able to produce deleterious effects even at the lowest environmentally-realistic concentration in the Holothuria forskali longitudinal muscle which may be considered as a target tissue of mercury accumulation in holothurian.
New insights into the genetic mechanisms of body size evolution in Carnivora

Background The range of body sizes in Carnivora is unparalleled in any other mammalian order, with more than 130,000 times in body mass and 50 times in length. However, the molecular mechanisms underlying the huge difference in body size of Carnivora have not been explored so far. Results Herein, we performed a comparative genomics analysis of 20 carnivores to explore the genetic basis of great body size variation in carnivores. Phylogenetic generalized least squares (PGLS) revealed that 337 genes were significantly related to both head body length and body mass, these genes were defined as body size associated genes (BSAGs). Fourteen positively related BSAGs were found to be associated with obesity and three of which were identified to be under rapid evolution in the extremely large body-sized carnivores, which suggested that these obesity-related BSAGs might have driven the body size expansion in carnivores. Interestingly, 100 BSAGs were examined to be associated with cancer control in carnivores, particularly 15 cancer-related genes were found to be under rapid evolution in extremely large carnivores. These results strongly suggested that large body-sized carnivores might have evolved effective mechanism to resist cancer, which could be regarded as molecular evidence to support for the Peto’s paradox. For small carnivores, we identified 15 rapidly evolving genes and found six genes with fixed amino acid changes that were reported to reduce body size. Conclusion This study brings new insights into the molecular mechanisms that drove the diversifying evolution of body size in carnivores, and provides new target genes for exploring the mysteries of body size evolution in mammals.