Miracle-dz/UniFAR-FTUs huggingface dataset:
A First-Principles Study on the Adsorption of Small Molecules on Arsenene: Comparison of Oxidation Kinetics in Arsenene, Antimonene, Phosphorene, and InSe.

Arsenene, a new group-V two-dimensional (2D) semiconducting material beyond phosphorene and antimonene, has recently gained an increasing attention owning to its various interesting properties which can be altered or intentionally functionalized by chemical reactions with various molecules. This work provides a systematic study on the interactions of arsenene with the small molecules, including H2 , NH3 , O2 , H2 O, NO, and NO2 . It is predicted that O2 , H2 O, NO, and NO2 are strong acceptors, while NH3 serves as a donor. Importantly, it is shown a negligible charge transfer between H2 and arsenene which is ten times lower than that between H2 and phosphorene and about thousand times lower than that between H2 and InSe and antimonene. The calculated energy barrier for O2 splitting on arsenene is found to be as low as 0.67 eV. Thus, pristine arsenene may easily oxidize in ambient conditions as other group V 2D materials. On the other hand, the acceptor role of H2 O on arsenene, similarly to the cases of antimonene and InSe, may help to prevent the proton transfer between H2 O and O- species by forming acids, which suppresses further structural degradation of arsenene. The structural decomposition of the 2D layers upon interaction with the environment may be avoided due to the acceptor role of H2 O molecules as the study predicts from the comparison of common group V 2D materials. However, the protection for arsenene is still required due to its strong interaction with other small environmental molecules. The present work renders the possible ways to protect arsenene from structure degradation and to modulate its electronic properties, which is useful for the material synthesis, storage and applications.
Pilot RCT of a social media parenting intervention for postpartum mothers with depression symptoms

ABSTRACT Objective: This pilot study describes the adaptation of a parenting group intervention for social media, and examines the feasibility, acceptability and initial outcomes of the adapted intervention for mothers with postpartum depression symptoms. Background: Postpartum depression can negatively affect parenting and the parent–infant relationship. Mothers with postpartum depression symptoms experience barriers to access in-person parenting interventions. Methods: A small, randomised controlled trial was conducted with an adapted parenting intervention delivered via social media (Facebook) or in-person for mothers who screened positive for depression in paediatric clinics. Parenting sense of competence, depression symptoms and intervention attendance and satisfaction were assessed. Twenty-four mothers (mean age 26 years; predominantly African American with limited economic resources) participated in the study. Results: Linear regressions showed that the social media group had significantly improved parenting competence and decreased depression severity when compared to the in-person group. Attendance in the social media group was high (83%), but extremely poor in the in-person group (3%). The mothers rated the intervention positively and the majority of the mothers participated by posting comments on the group page on social media. Conclusion: The findings suggest the feasibility and benefit of delivering a parenting intervention through social media for postpartum mothers with high levels of depression symptoms.
Elizabethkingia miricola infection in Chinese spiny frog (Quasipaa spinosa)

Elizabethkingia miricola is a Gram-negative rod which has been incriminated in severe infections in humans. Recently, a serious infectious disease was identified in Chinese spiny frogs (Quasipaa spinosa), in the Sichuan Province of China; the disease was characterized by corneal opacity, the presence of ascites and neurological symptoms. A Gram-negative bacillus was isolated from the liver, spleen and kidney of the diseased frogs. Experimental infection test revealed that the bacillus could infect the frogs Q. spinosa and the LD50 value was 1.19 × 106 cfu per frog. The isolated Gram-negative bacillus was identified as E. miricola according to phenotypic characteristics, 16S rRNA and gyrB gene sequence analysis. The isolated strain was only susceptible to florfenicol among all investigated chemotherapeutic agents. Histological examination revealed that E. miricola infection caused pathological lesions to multiple organs and tissues, especially in the liver, brain, kidney. These results confirmed that E. miricola is an emerging pathogen of Chinese spiny frogs.
Long non-coding RNA FENDRR inhibits NSCLC cell growth and aggressiveness by sponging miR-761.

OBJECTIVE The aim of this paper is to investigate the functions of long noncoding RNA (lncRNA) FOXF1 Adjacent Non-Coding Developmental Regulatory RNA (FENDRR) in the growth and aggressiveness of non-small cell lung cancer (NSCLC). PATIENTS AND METHODS The expression of FENDRR in NSCLC tissues and cell lines was detected by quantitative Real Time-Polymerase Chain Reaction (qRT-PCR). 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide (MTT) and colony formation assays were conducted to explore the roles of FENDRR on the growth of NSCLC cell. The wound healing and transwell invasion assays were conducted to explore the impact of FENDRR on NSCLC cell migration and invasion. The apoptosis of NSCLC cell was detected using flow cytometer-based Annexin V/Propidium Iodide (PI) dual staining. The xenograft model was conducted to investigate the effect of FENDRR on the growth of NSCLC cell in vivo. The expression of Ki67 was measured by immunohistochemical (IHC) staining using Ki67 antibody. Bioinformatics analysis and Luciferase reporter assay were applied to identify that miR-761 was the target of FENDRR. Additional, colony formation and transwell experiments were utilized to confirm that FENDRR inhibited the growth and aggressiveness of NSCLC cell by regulating miR-761. RESULTS We found a marked down-regulation of FENDRR in NSCLC tissues compared to tumor-adjacent tissues. FENDRR down-expression was detected in four NSCLC cell lines (H1650, HCC827, H1975 and A549) compared to the human non-tumorigenic bronchial epithelial cell, BEAS-2B. Low expression of FENDRR was identified as a predictive factor for poor prognosis of patients with NSCLC. The over-regulation of FENDRR inhibited the proliferation, migration and invasion capacities of NSCLC cell and promoted the apoptosis of NSCLC cell in vitro whereas the down-regulation of FENDRR caused the opposite results. Moreover, the over-expression of FENDRR restrained the growth of NSCLC cell in vivo. We found that there were potential binding sites between FENDRR and miR-761 and the level of miR-761 was inversely associated with the expression of ENDRR in NSCLC tissues. Finally, the rescue experiments suggested that the anti-oncogenic role of FENDRR was at least partially mediated by miR-761 in NSCLC. CONCLUSIONS We found that FENDRR was down-expressed in NSCLC and the over-expression of FENDRR inhibited the malignant phenotypes of NSCLC cell by binding to miR-761 competitively.
Conductive Fused Porphyrin Tapes on Sensitive Substrates by a Chemical Vapor Deposition Approach

Abstract Oxidative polymerization of nickel(II) 5,15‐diphenyl porphyrin and nickel(II) 5,15‐bis(di‐3,5‐tert‐butylphenyl) porphyrin by oxidative chemical vapor deposition (oCVD) yields multiply fused porphyrin oligomers in thin film form. The oCVD technique enables one‐step formation, deposition, and p‐doping of conjugated poly(porphyrins) coatings without solvents or post‐treatments. The decisive reactions and side reactions during the oCVD process are shown by high‐resolution mass spectrometry. Owing to the highly conjugated structure of the fused tapes, the thin films exhibit an electrical conductivity of 3.6×10−2 S cm−1 and strong absorption in the visible to near‐infrared spectral region. The formation of smooth conjugated poly(porphyrins) coatings, even on sensitive substrates, is demonstrated by deposition and patterning on glass, silicon, and paper. Formation of conductive poly(porphyrins) thin films could enable the design of new optoelectronic devices using the oCVD approach.
Flow Cytometry Analysis of Free Intracellular NAD+ Using a Targeted Biosensor

Flow cytometry approaches combined with a genetically encoded targeted fluorescent biosensor are used to determine the subcellular compartmental availability of the oxidized form of nicotinamide adenine dinucleotide (NAD+). The availability of free NAD+ can affect the activities of NAD+‐consuming enzymes such as sirtuin, PARP/ARTD, and cyclic ADPR‐hydrolase family members. Many methods for measuring the NAD+ available to these enzymes are limited because they cannot determine free NAD+ as it exists in various subcellular compartments distinctly from bound NAD+ or NADH. Here, an approach to express the sensor in mammalian cells, monitor NAD+‐dependent fluorescence intensity changes using flow cytometry approaches, and analyze data obtained is described. The benefit of flow cytometry approaches with the NAD+ sensor is the ability to monitor compartmentalized free NAD+ fluctuations simultaneously within many cells, which greatly facilitates analyses and calibration. © 2018 by John Wiley & Sons, Inc.
The action mechanism and biocontrol potentiality of novel isolates of Saccharomyces cerevisiae against the aflatoxigenic Aspergillus flavus

Inhibition of Aspergillus flavus growth and its aflatoxins production using the biocontrol agent Saccharomyces cerevisiae as well as to explore its mode of action was studied. Eight strains of S. cerevisiae strains were able to suppress the growth of A. flavus Z103. The maximum growth inhibition of A. flavus Z103 was obtained by living cells of S. cerevisiae EBF101 and S. cerevisiae 117 with 85 and 83%, respectively. The sporulation inhibition and hyphae deterioration of A. flavus Z103 by S. cerevisiae cells adhesion were observed under SEM; up to 99·8% inhibition of aflatoxins biosynthesis by A. flavus Z103 was resulted when the fungus was treated by autoclaved extracellular crude of S. cerevisiae. Also, the tested strains are potential to produce exo‐chitinase which could be suggested as another mode of action for its antifungal activity. GC‐MS analysis of S. cerevisiae 117 extracellular secondary metabolites revealed the existence of 4‐Hydroxyphenethyl alcohol (46·32%), 4, 4‐Dimethyloxazole (9·14%) and 1,2‐Benzenedicarboxylic acid dioctyl ester (2·8%).
Validation of the Bluebelle Wound Healing Questionnaire for assessment of surgical‐site infection in closed primary wounds after hospital discharge

Accurate assessment of surgical‐site infection (SSI) is crucial for surveillance and research. Self‐reporting patient measures are needed because current SSI tools are limited for assessing patients after leaving hospital. The Bluebelle Wound Healing Questionnaire (WHQ) was developed for patient or observer completion; this study tested its acceptability, scale structure, reliability and validity in patients with closed primary wounds after abdominal surgery.
Comparing knowledge and attitudes to dementia care in Brazilian and UK GPs to guide future decisions about educational interventions

ABSTRACT Background: Dementia training for Brazilian general practitioners (GPs) is underdeveloped. We investigated knowledge and attitudes to dementia management among Brazilian GPs and compared these with previous UK findings to inform future decisions about how training is structured. Methods: A total of 115 Brazilian GPs were asked to complete a Portuguese translation of a questionnaire previously used in the UK. This comprised a 14-item multiple-choice knowledge quiz, and a 5-point Likert-scale questionnaire assessing attitudes across 10 dementia management domains. Exploratory factorial analysis was conducted for attitudes. Results: Attitudes toward dementia demonstrated the same underlying factor structure, “heartsink” and “heartfelt” factors, in Brazil as in previous UK studies, explaining 61.6% of variance in responses. Knowledge scores were negatively correlated with heartfelt and heartsink factors. Conclusions: Greater knowledge about dementia was associated with some pessimism about dementia care. The similarity in the structure of attitudes toward dementia management between Brazilian and UK GPs provides a starting point for shared educational approaches targeting attitudes.
Bioreactor-grown exo- and endo-β-glucan from Malaysian Ganoderma lucidum: An in vitro and in vivo study for potential antidiabetic treatment

This study aims to identify the roles of exo-β-glucan (EPS-BG) and endo-β-glucan (ENS-BG) extracted from Ganoderma lucidum (GL) in inhibiting the alpha-glucosidase enzyme, a target mechanism for postprandial hyperglycaemia regulation. Upscale production of GL was carried out using a 10 L bioreactor. The zebrafish embryo toxicity test (ZFET) was carried out based on OECD guidelines. The hatching rate, survival rate, heart rate, morphological malformation, and teratogenic defects were observed and determined every 24 h from 0–120 h of post-exposure (hpe). For diabetes induction, adult zebrafish (3–4 months of age) were overfed and induced with three doses of 350 mg/kg streptozotocin (STZ) by intraperitoneal injection (IP) on three different days (days 1, 3, and 5). The oral sucrose tolerance test (OSTT) and anti-diabetic activity of EPS-BG and ENS-BG were evaluated (day 7) using the developed model (n = 15). This study showed that EPS is the most potent compound with the highest inhibitory effect toward the alpha-glucosidase enzyme with an IC50 value of 0.1575 mg/ml compared to ENS extracts (IC50 = 0.3479 mg/ml). Both EPS-BG and ENS-BG demonstrated a strong inhibition of alpha-glucosidase activity similar to the clinically approved alpha-glucosidase inhibitor, acarbose (IC50 = 0.8107 mg/ml). ENS-BG is non-toxic toward zebrafish embryos with LC50 of 0.92 mg/ml and showed no significant changes in ZE hatching and normal heart rate as compared to untreated embryos (161 beats/min). Teratogenic effects of ENS-BG (<1.0 mg/ml) on zebrafish embryonic development were not observed. The DM model of zebrafish was acquired after the third dose of STZ with a fasting BGL of 8.98 ± 0.28 mmol/L compared to the normal healthy group (4.23 ± 0.62 mmol/L). The BGL of DM zebrafish after 30 min treated with EPS-BG and ENS-BG showed a significant reduction (p < 0.0001). Both EPS-BG and ENS-BG significantly reduced DM zebrafish’s peak blood glucose and the area under the curve (AUC) in OSTT. Hence, EPS-BG and ENS-BG extracted from GL showed promising inhibition of the alpha-glucosidase enzyme and are considered non-toxic in ZE. Moreover, EPS-BG and ENS-BG reduced blood glucose levels and inhibited hyperglycemia in DM zebrafish.
Prediction of RNA Binding Sites in Proteins

In this chapter, the authors provide an introduction for the prediction of RNA binding sites in proteins by machine learning algorithms, such as neural network (NN), naive Bayes (NB), support vector machines (SVM), and random forest (RF). On the basis of these classification methods, one can identify the RNA binding sites of proteins by various features underlying the interaction. Here, the authors mainly describe the protocols of predicting RNA binding sites in proteins by feature based machine learning methods. The available protein-RNA complexes from the Protein Data Bank (PDB) are selected to build the data source and define the binding sites in proteins. Here, the authors also compare these features and those of the existing methods. In particular, they identify the importance of each feature in determining the specificity of protein-RNA interaction, as well as the contribution of various hybrid features in the prediction.
Hownet And The Computation Of Meaning

The presentation will mainly cover (1) What is HowNet? HowNet is an on-line common-sense knowledgebase unveiling inter-conceptual relationships and interattribute relationships of concepts as connoting in lexicons of the Chinese and their English equivalents. (2) How it functions in the computation of meaning and as a NLP platform? The presentation will show 9 HowNet-based application tools. All of them are not merely demonstration of some methodology or algorithm, but are real application tools that can be tested by users themselves. Apart from the tools that are specially designed to deal with Chinese, most of the tools are bilingual, even the WSD tool.
Joint Nordic genetic evaluation for mastitis

Department of Animal Science, Agricultural University of Norway, P.O. Box 5025, N-1432 As, Norway. GENO Breeding and A.I. Association, P.O. Box 5025, N-1432 As, Norway. Danish Agricultural Advisory Service, Udkaersvej 15, Skejby, DK-8200 Aarhus N, Denmark. ProAgria, Finnish Animal Breeding Association, P.O. Box 40, FIN-01301 Vantaa, Finland. 5 Swedish Dairy Association, S-631 84 Eskilstuna, Sweden. (*Corresponding author, e-mail: bjorg.heringstad@ihf.nlh.no)
Multilingual generation of controlled languages

We describe techniques based on natural language generation which allow a user to author a document in controlled language for multiple natural languages. The author is expected to be an expert in the application domain but not in the controlled language or in more than one of the supported natural languages. Because the system can produce multiple expressions of the same input in multiple languages, the author can choose among alternative expressions satisfying the constraints of the controlled language. Because the system offers only legitimate choices of wording, correction is unnecessary. Consequently, acceptance of error reports and corrections by trained authors are non-issues.
Cooperative Profit Sharing in Coalition-Based Resource Allocation in Wireless Networks

We consider a network in which several service providers offer wireless access to their respective subscribed customers through potentially multihop routes. If providers cooperate by jointly deploying and pooling their resources, such as spectrum and infrastructure (e.g., base stations) and agree to serve each others' customers, their aggregate payoffs, and individual shares, may substantially increase through opportunistic utilization of resources. The potential of such cooperation can, however, be realized only if each provider intelligently determines with whom it would cooperate, when it would cooperate, and how it would deploy and share its resources during such cooperation. Also, developing a rational basis for sharing the aggregate payoffs is imperative for the stability of the coalitions. We model such cooperation using the theory of transferable payoff coalitional games. We show that the optimum cooperation strategy, which involves the acquisition, deployment, and allocation of the channels and base stations (to customers), can be computed as the solution of a concave or an integer optimization. We next show that the grand coalition is stable in many different settings, i.e., if all providers cooperate, there is always an operating point that maximizes the providers' aggregate payoff, while offering each a share that removes any incentive to split from the coalition. The optimal cooperation strategy and the stabilizing payoff shares can be obtained in polynomial time by respectively solving the primals and the duals of the above optimizations, using distributed computations and limited exchange of confidential information among the providers. Numerical evaluations reveal that cooperation substantially enhances individual providers' payoffs under the optimal cooperation strategy and several different payoff sharing rules.
Network Performance-Aware Virtual Machine Migration in Data Centers

Virtual machine (VM) consolidation and migration technology in data centers greatly improve the utilization of the server resource. While the previous work focuses on how to use VM migration to balance physical host utilization or optimize energy consumption, little attention has been given to network performance factors, such as link traffic load and inter-traffic between VMs in data centers. In this paper, we present MWLAN (Migration With Link And Node load consideration), a novel automatic data center VM migration system that can detect hotspots (e.g., network congestion and physical host over-loaded) and dynamically remap VMs to improve the network performance. The VM migration approach proposed in MWLAN can efficiently balance the network link load and relieve the local data center network congestion as well as considering physical host constraints. Moreover, experimental evaluations indicate that the proposed approach reduces the packet loss by up to 50% and improves the average application TCP transfer rate by up to 24% compared to the other approaches when the data center network overloaded.
Does fiscal decentralization curb the ecological footprint in pakistan?

This paper offers a new indulgence to the present literature by integrating the role of fiscal decentralization (FD) in affecting ecological footprint (EF). So, this study considered the effect of FD on EF in the existence of energy consumption (EC), technological innovation (TI), gross domestic product (GDP), and trade openness (TOP) from 1990 to 2018 in Pakistan. We employ econometric methods like Bayer & Hanck cointegration, fully modified ordinary least squares, dynamic ordinary least squares, and canonical cointegration regression for empirical analysis. Moreover, the frequency domain causality test is used to conclude the causal impact of FD, EC, TI, GDP, and TOP on EF. The regression results disclose that EC, GDP, and TOP boost EF in Pakistan; however, FD and TI promote the sustainability of the environment by reducing EF. Besides, the frequency causality outcomes indicate that FD, EC, TI, GDP, and TOP have insinuations for EF in the long term. As a policy recommendation, this research suggests that Pakistan could successfully integrate strategies to increase ecological quality by allowing the lower level of government to utilize eco-friendly technological innovations.
An Behavior-based Robotics

From the Publisher: foreword by Michael Arbib "Hard to put down and necessary to know -- Arkin's book provides a comprehensive intellectual history of robots and a thorough compilation of robotic organizational paradigms from reflexes through social interaction. " -- Chris Brown, Professor of Computer Science, University of Rochester This introduction to the principles, design, and practice of intelligent behavior-based autonomous robotic systems is the first true survey of this robotics field. The author presents the tools and techniques central to the development of this class of systems in a clear and thorough manner. Following a discussion of the relevant biological and psychological models of behavior, he covers the use of knowledge and learning in autonomous robots, behavior-based and hybrid robot architectures, modular perception, robot colonies, and future trends in robot intelligence. The text throughout refers to actual implemented robots and includes many pictures and descriptions of hardware, making it clear that these are not abstract simulations, but real machines capable of perception, cognition, and action.