Miracle-dz/UniFAR-FTUs huggingface dataset:
Synthesis and characterization of graphene oxide capped sulfur/polyacrylonitrile composite cathode by simple heat treatment

ABSTRACT A Sulfur/Poly (acrylonitrile) (PAN)/Graphene oxide (GO) hybrid electrode with inter connected structure is prepared through a simple heat treatment. In this process, the formation of a unified poly acrylonitrile /graphene oxide conductive network is accompanied by the uniform loading of sulfur, with a fraction of 52%. The as-prepared S/PAN/GO hybrid delivers an initial capacity of 1424 mAhg−1 at 0.1C. The electrochemical performance of the composite is ascribed to the conductive network designed by interconnected GO and PAN, which supply an unimpeded and uninterrupted path for electron and Li-ion transfer and accommodate the volume variation of sulfur during charge/discharge cycling. Furthermore, the residual functional groups on S/PAN/GO composite can support close contact of the conducting matrix with sulfur and efficiently confine the diffusion of polysulfides. This study gives a green and highly active technique for carbon–sulfur electrode construction for lithium–sulfur batteries. The electrochemical execution improvement can be attributed to the multiple effects of the PAN and GO additive such as conductivity, sulfur distribution, and an active absorber for the reaction products. GRAPHICAL ABSTRACT
The Influence of Corporate Networks on the Competitive Advantage of High Technology Enterprises in China: The Mediating Effects of Dynamic Capacities and Ambidextrous Combination

As an essential channel to obtain external resources and information, corporate networks have played a key role in enhancing the competitive advantage of firms, especially during the period where most of the high-technology firms in China started to directly seek means other than import technology to boost their competitive advantages. However, there was still ambiguity concerning how exactly corporate networks would affect comparative advantage. This study sought to expose the internal mechanisms among two aspects of corporate networks, namely, the network strength and the network centrality, and competitive advantage. We also examined the mediating effects of the dynamic capabilities and the ambidextrous combination. Managers of 384 high technology enterprises in China were interviewed via telephone calls during the period of January to June 2020. The data were analyzed by utilizing the structural equation method, and the results show that both dynamic capacities and the ambidextrous combination significantly mediate the relationship between corporate networks and firms’ comparative advantage, where the two mediators also had a significant relationship with each other. Moreover, the multigroup analysis also unveiled that the corporate networks had a greater impact on competitive advantage and the ambidextrous combination in the manufacturing sector, while small-sized enterprises and service enterprises would benefit more than others from the improvement in the dynamic capabilities and ambidextrous combination. Our findings fill the gap in the literature and provide useful information to firms in China on how to allocate internal and external resources to enhance their competitive advantages.
Effects of Bischofite Gel on Reparative Processes in Wound Healing

Introduction: The currently available information on the bischofite mineral pharmacodynamics suggests that gels based on it have wound-healing properties. It was shown that bischofite has anti-inflammatory, immunomodulatory, and reparative activity. Materials and Methods: Experiments were performed on 36 male rats. Using a blade, a linear wound length of 50 mm was modeled. Animals were divided into four groups: (1) Control; (2) Bischofite (500 mg of gel with bischofite per wound area for 7 days); (3) Actovegin (500 mg of Actovegin gel on the wound area for 7 days); and (4) Contractubex (500 mg of Contractubex gel for 7 days wound area). About the wound healing effect of the drugs was judged by studying the physicomechanical properties, determining the concentration of hydroxyproline (HP), and calculating the ratio of collagen 1 and 3 types. Results: The greatest strength of the wound defect, significantly greater than in the control (P Actovegin > Control > Contractubex. Conclusions: The study showed that the best results were obtained with external use of the gel with bischofite. Actovegin has a less significant but pronounced reparative effect on this model. The least satisfactory results were obtained when applying Contractubex.
Congenital Hepatic Fibrosis as a Cause of Recurrent Cholangitis: A Case Report and Review of the Literature

Rare liver diseases caused by ductal plate malformation, such as congenital hepatic fibrosis (CHF), Caroli syndrome, and polycystic liver disease, can have clinical manifestations such as recurrent cholangitis—frequently involving multidrug-resistant microorganisms—leading to difficulties in selecting the optimal antimicrobial treatment. Without prompt recognition, these infections severely hamper the patient’s quality of life and can develop into life-threatening complications. We report here the case of a 50-year-old woman with a history of recurring cholangitis with occasional systemic involvement leading to bloodstream infection, who ultimately received a diagnosis of CHF and was put on chronic suppressive antibiotic therapy while on the waiting list for a liver transplant. We also reviewed the literature collecting cases of recurrent infections occurring in patients with ductal plate malformation.
Investigation of the modulatory role of Bulgarian Mentha Piperita L. oil against radiation-induced oxidative disorders and antioxidant status In Vitro

This investigation report on the free radical-scavenging and radio-modulatory properties of Bulgarian M. piperita L. oil. The chemically pure oil (97 %) was tested alone and after expositer to ultraviolet radiation (290-320 nm) and gamma radiation at doses of 5, 10, 20 and 30 Gy. The in vitro antioxidant status studied by different spectrophotometrically methods of M. piperita alone was found to be lower compared to UVB and 10 Gy radiated oil. By direct EPR spectroscopy, single almost symmetrical EPR signals were registered in oil alone (g= 2.00492 ± 0.0003), UVB (g= 2.00586 ± 0.0002) and 10 Gy irradiated (g= 2.0019 ± 0.0002) samples. Antioxidant activity and radical scavenging capacity of M. piperita oil alone and after radiation was also evaluated by the DPPH test. The intensities of the EPR signals of M. piperita oil alone, and irradiated samples demonstrated the possible formation of stable radical structures. The EPR spectra considerably higher after radiation, and excellent DPPH scavenging capacity exhibited by M. piperita indicate good antioxidant potential, radio-modulatory activity and prevent effectively radiation–induced oxidative disorders.
Global Maps of Solar Wind Electron Modification by Electrostatic Waves Above the Lunar Day Side: Kaguya Observations

The Moon drives observable perturbations in the upstream solar wind in a similar manner to the terrestrial foreshock. Recent observations suggested that lunar dayside electrostatic waves can arise from two different driving mechanisms, both involving reflected particles from lunar crustal magnetic fields. However, their association with the global distribution of lunar magnetic anomalies have not been fully characterized. Here we exploit polar orbiting Kaguya to generate first global maps of electrostatic waves and solar wind electron modification above the day side of the Moon. The maps clearly demonstrate that the two signatures are correlated with lunar crustal magnetic fields. Additionally, we observe different characteristics of electron modification for different interplanetary magnetic field orientations. The lunar crustal magnetic fields cause a wide range of reflected electron and ion intensities, thereby serving as a test bed to investigate the relative roles of reflected particles on wave excitation and particle heating.
Diammonium Hydrogenphosphate Treatment on Dolostone: the Role of Mg in the Crystallization Process

The diammonium hydrogenphosphate (DAP, (NH4)2HPO4) reaction with calcite has been extensively investigated. The availability of free calcium ions in the reaction environment has been acknowledged as a crucial factor in the crystallization of calcium phosphates with a high (hydroxyapatite, Ca/P 1.67) or low Ca/P molar ratio (dicalcium phosphate dihydrate, Ca/P 1.00; octacalcium phosphate, Ca/P 1.33). On the contrary, no data are available on the DAP interaction at room temperature with dolomite in terms of reaction mechanism and composition of the reaction products. Here, a multi-analytical approach based on scanning electron microscopy (SEM) coupled with energy dispersive X-ray spectrometry (EDS) and X-ray powder diffraction before and after heating treatments is proposed to explore how the formation of calcium phosphates occur on Mg-enriched substrates and if the presence of magnesium ions during the reaction influences the crystallization process of calcium phosphates. The DAP reaction with polycrystalline dolomite gives rise to the formation of struvite and of poorly crystalline hydroxyapatite. Calcium and magnesium ions mutually interfered in the crystallization of magnesium and calcium phosphates, respectively, whose effects influenced the properties (size, micro-morphology, composition and crystallinity) of the newly-formed phases.
Antimicrobial Agents: Antibacterial Agents, Anti-biofilm Agents, Antibacterial Natural Compounds, and Antibacterial Chemicals

The surge in antimicrobial resistance coupled with the decline in the antimicrobial drug pipeline calls for the discovery and development of new agents to tackle antibiotic resistance and prevent a return to a post-antibiotic era. Several factors account for resistance of microbes; some are natural and others are acquired. Natural selection, presence of efflux pumps, impermeable cell wall, biofilm formation and quorum sensing are some of the factors. Though it is difficult to outwit the pathogens, the discovery and development of compounds with pleiotropic modes or mechanisms of action different from the conventional drugs currently being used can help us tackle antimicrobial resistance. Natural products have been known to be a rich source of bioactive compounds with diverse structures and functional group chirality. Various reports indicate medicinal plants with antibacterial, anti-biofilm, efflux pump inhibition, wound healing effects or properties and others used for upper respiratory and urinary tract infections. There is an urgent need to research into natural products particularly plants for antimicrobial agents including antibacterial agents, anti-biofilm agents, antibacterial natural compounds and antibacterial chemicals. This chapter throws more light on such antimicrobials. for 24 h. The content of the wells are decanted and washed with phosphate buffer, fixed with methanol for 15 min and decanted. They are then stained with crystal violet (0.5%) for 20 min, decanted and washed with distilled water. Glacial acetic acid is then added to extract the crystal violet and the optical density determined at 490 nm using an ELISA plate reader [45].
Reduction of Color Intensity from Textile Dye Wastewater Using Microorganisms: A Review

More than 10,000 dyes are used in the textile industry and approximately 28,000 tonnes of dyes are being discharged into the public drains without proper treatment that eventually go into the river (Hsueh et al., 2005). 10% of dyes are lost during coloration process and 2% of these are directly discharged in aqueous effluent (Easton, 1995). Azo dyes are widely used among synthetic dyes in the textile industry and represent about 80 % of commercial dyes produced in the world with an annual production of 7×10 5 tonnes (Fu and Viraraghavan, 2001). The concentration of dyes in wastewater from textile dyeing industry can vary from 10 to 250 mg/l (O’Neill et al., 1999) whereas in another research it was reported that the concentrations may as high as 1,500 mg/l (Pearce et al., 2003).
Biological and structural properties’ interpretation on antitumour drug 3-(2-aminoethyl) indole (tryptamine) using molecular spectroscopy and computational tools

ABSTRACT In this work, the known and unknown structural as well as biological properties of 3-(2-aminoethyl) indole (tryptamine) were interpreted using molecular spectroscopy (FT-IR, FT-Raman, NMR and UV–Visible) and cheminformatic tools. The supportive drug-related information was gained by analysing the obtained data which will be useful for the drug chemist for the pharmaceutical research. The important biological properties of the present chemical species satisfied the Lipinski five rules and it was opt to fabricate complex antibiotic compounds. The acquired charge potential load for creating antibiotic strain on compositional parts was keenly observed from the obtained data and it was evaluated by the vibrational analysis and Mulliken charge profile. From the NMR data, the chemical nodal points were noted and their movement around the molecule was carefully monitored. The degenerate and non-degenerate energy profile of orbital interaction system was studied and the link of chemical reactivity path was identified. The significance of excited electronic transitions among non-bonding molecular orbital system was justified and their transitional energy coefficient was determined. The toxicity level was checked from the chirality characteristics and enantiomer structure obtained from vibrational circular dichroism profile.
Detecting the calcium carbonate saturation state under the stress of ocean acidification using saturometry technique

CO2-induced ocean acidification lowers the degree of carbonate saturation state of the seawater, which affects calcification of marine organisms and influences the marine carbonate cycle, thus have negative impacts on the entire marine biogeochemical system. This study seeks to develop a rapid technique to detect carbonate saturation state of seawater based on conductivity changes. A series of batch and flow-through experiments were conducted using various CaCO3 materials. Results show that the conductivity ratios of seawater with and without carbonate addition increase generally with decreasing carbonate saturation states (Ω). The relationship between conductivity ratio and log10Ω apparently follows a linear trend when Ω < 1. It suggests that conductivity measurements can be used to indicate carbonate saturation state of seawater. It is expected to be deployed on CTD instrument to produce depth profiles of seawater carbonate saturation state and will be of great help to future studies on ocean acidification.
Build it and they will come, but not all of them in fragmented Atlantic Forest landscapes

Ecological restoration interventions, in most cases, aim to restore habitat structure and plant community composition, thus re‐establishing ecosystem functioning as similar as possible to that of the pre‐existing natural ecosystem. However, given the difficulty of cultivating many species, that goal seems unattainable, unless “if you build it, they will come. ” Here we addressed the Field of Dreams hypothesis in the context of trees and shrubs of the seasonal tropical forest in southeastern Brazil. We aimed to verify if the species from the regional pool have been able to colonize the restoration forests and if functional patterns exist behind successful and unsuccessful colonization. We categorized each species by dispersal syndrome, seed traits, growth rate, shade tolerance, and rarity in the communities. Most, but not all, species from the regional pool are colonizing forest patches undergoing restoration. Successful colonizers are mostly zoochorous, dispersed by birds or bats, shade tolerant, of moderate or fast growth. By partially confirming the Field of Dreams hypothesis, our study implies that it is not necessary to reintroduce a large proportion of the regional pool in tropical forest restoration projects, given that many species will later spontaneously arrive, even in fragmented landscapes. However, the existence of a particular functional profile (slow‐growing species, dispersed by gravity or large mammals) that will rarely colonize the restoration forests should not be disregarded. Even though these are a minority, such species will likely be confined to the remaining natural fragments if they are not included in the restoration projects.
Evaluation and characterization of Pd-Ag composite membrane fabricated by surfactant induced electroless plating (SIEP) for hydrogen separation

ABSTRACT Dense Pd-Ag/MPSS composite membranes were fabricated on macroporous stainless steel substrate (MPSS) by novel surfactant induced electroless plating (SIEP) process. SIEP was effective in synthesizing dense and thinner Pd-Ag films on MPSS with shorter deposition time in presence of cationic DTAB. SIEP membranes showed 3–8 times higher H2 permeance compared to that of conventional EP membranes. The SEM, XRD, and EDS studies confirmed the formation of Pd-Ag alloy and no diffusion of MPSS substrate metal components into the Pd-Ag film. The Pd-Ag membrane (15 μm thickness) was tested for long-term stability under thermal cycling (623–723-623 K) up to 42 days.
Graph Affinity Network for Few-Shot Segmentation

Few-shot segmentation aims to learn a segmentation model that can be generalized to novel classes with a few annotations. Previous methods mainly establish the correspondence between support images and query images with global information. However, human perception does not tend to learn a whole representation in its entirety at once. In this paper, we propose a novel network to build the correspondence from subparts, parts and whole. Our network mainly contain two novel designs: we firstly adopt graph convolutional network to make pixels not only contain the information of each pixel itself but also include its contextual pixels, and then a learnable Graph Affinity Module(GAM) is proposed to mine more accurate relationships as well as common object location inference between the support images and the query images. Experiments on the PASCAL-5i dataset show that our method achieves state-of-the-art performance.
Automatic Classification of A-Lines in Intravascular OCT Images Using Deep Learning and Estimation of Attenuation Coefficients

Intravascular Optical Coherence Tomography (IVOCT) images provide important insight into every aspect of atherosclerosis. Specifically, the extent of plaque and its type, which are indicative of the patient’s condition, are better assessed by OCT images in comparison to other in vivo modalities. A large amount of imaging data per patient require automatic methods for rapid results. An effective step towards automatic plaque detection and plaque characterization is axial lines (A-lines) based classification into normal and various plaque types. In this work, a novel automatic method for A-line classification is proposed. The method employed convolutional neural networks (CNNs) for classification in its core and comprised the following pre-processing steps: arterial wall segmentation and an OCT-specific (depth-resolved) transformation and a post-processing step based on the majority of classifications. The important step was the OCT-specific transformation, which was based on the estimation of the attenuation coefficient in every pixel of the OCT image. The dataset used for training and testing consisted of 183 images from 33 patients. In these images, four different plaque types were delineated. The method was evaluated by cross-validation. The mean values of accuracy, sensitivity and specificity were 74.73%, 87.78%, and 61.45%, respectively, when classifying into plaque and normal A-lines. When plaque A-lines were classified into fibrolipidic and fibrocalcific, the overall accuracy was 83.47% for A-lines of OCT-specific transformed images and 74.94% for A-lines of original images. This large improvement in accuracy indicates the advantage of using attenuation coefficients when characterizing plaque types. The proposed automatic deep-learning pipeline constitutes a positive contribution to the accurate classification of A-lines in intravascular OCT images.
Temporal Geo-Social Personalized Keyword Search Over Streaming Data

The unprecedented rise of social media platforms, combined with location-aware technologies, has led to continuously producing a significant amount of geo-social data that flows as a user-generated data stream. This data has been exploited in several important use cases in various application domains. This article supports geo-social personalized queries in streaming data environments. We define temporal geo-social queries that provide users with real-time personalized answers based on their social graph. The new queries allow incorporating keyword search to get personalized results that are relevant to certain topics. To efficiently support these queries, we propose an indexing framework that provides lightweight and effective real-time indexing to digest geo-social data in real time. The framework distinguishes highly dynamic data from relatively stable data and uses appropriate data structures and a storage tier for each. Based on this framework, we propose a novel geo-social index and adopt two baseline indexes to support the addressed queries. The query processor then employs different types of pruning to efficiently access the index content and provide a real-time query response. The extensive experimental evaluation based on real datasets has shown the superiority of our proposed techniques to index real-time data and provide low-latency queries compared to existing competitors.
Outcome Measures in OBPP

Traditional outcome measurement scales, such as the Medical Research Council (MRC) score, the Active Movement Scale (AMS), and Mallet score, are used by surgeons to assess outcomes in patients with obstetric brachial plexus palsy (OBPP). The measurement scales used to evaluate patients fall under the International Classification of Functioning (ICF) domains of Body Function, Body Structure, Activity, Participation, and Environment and are used to assess function and disability of patients. Currently used outcome measures scales for OBPP are also contrasted with those used for another perinatal condition affecting the upper limb, cerebral palsy (CP).
Battery Energy Storage System Dimensioning for Reducing the Fixed Term of the Electricity Access Rate in Industrial Consumptions

Industrial buildings account for very few high peaks of power demand. This situation forces them to contract a high fixed electricity term to cover it. A more intelligent use of the energy in industrial buildings, together with an improved efficiency of the transmission and distribution of the energy along the electric power grid, can be achieved by reducing the peak consumption of industrial buildings. Energy storage systems, and lithium ion (Li-ion) batteries in particular, are one of the most promising technologies for reducing this peak consumption. However, selecting a proper Li-ion battery requires a dimensioning process in terms of energy and power which is not straightforward. This paper proposes a dimensioning methodology that takes into consideration both technical and economic implications, and applies it to a case example with real industrial consumption data and a commercial battery. Results show that implementing batteries for reducing this peak consumption can lead to a cost–benefit improvement.