bluuebunny/crossref_metadata_2025_split huggingface dataset:
The analysis of characterization of zeolite modified from fly ash using iron oxide and manganese oxide
Authors: Saputro S , Mahardiani L , Masykuri M , Yamtinah S , Solikah A A , Yuanitama A L , Romantika H R , Azizah I N , Amri A. 
Published: August 2023

Abstract
Fly ash is the residue from burning coal in the form of fine and light particles and can be harmful to the environment and life. Whereas fly ash contains high silica so that it can be used as a precursor for zeolite blinding. Zeolite as an adsorbent for aquatic waste needs to be improved so that it can absorb more adsorbate. Therefore, it is necessary to modify the zeolite from fly ash, such as coating with manganese and iron oxide. The zeolite is made from fly ash extraction and synthesize using hydrothermal method. In this study, it was found that fly ash contains about 45.20% silica and the synthetic zeolite was successfully coated with manganese and iron oxide evidenced by the results of FTIR and XRD. This is indicated by the presence of manganese oxide at an absorption of 453.29 cm−1 using FTIR and manganese oxide on XRD aimed at 2θ = 37.356°; 47.337°; 51,879°; 57.966°; 61.822° and 67.5552°. Meanwhile, the FTIR results of iron oxide were indicated by the presence of an absorption band at 447.50 cm−1 and XRD diffraction peaks at 2θ = 30,643° and 2θ = 60,322°.
Synergism of andisol soil and foundry sand mixture as adsorbent of nickel (II) metal ion
Authors: Pranoto  , Martini T , Ratnasari R M 
Published: August 2023

Abstract
A mixture of andisol soil and foundry sand as Ni2+ ion adsorbent was studied in this research. Andisol soil and foundry sand were activated using 3M NaOH. The characterizations of adsorbents were carried out by Fourier Transform Infrared Analyzer (FTIR), Scanning Electron Microscopy-mapping Energy Dispersive X-Ray (SEM-EDX), and Surface Area Analyzer (SAA). The mixture was made by mixing andisol soil and foundry sand with various compositions of 100:0, 75:25, 50:50, 25:75, and 0:100 (wt%). The adsorption of Ni2+ metal ion performed on pH solution of 3-7 and contact time of 10-110 minutes with the batch system. Based on the research, the optimum conditions for the adsorption of Ni metal in the adsorbent mixture of andisol soil and foundry sand were 75:25 (wt%) at pH 6 and contact time of 95 minutes with an adsorption capacity of 0.3967 mg/g and adsorption percentage 72.59%. Adsorption kinetics tend to follow pseudo-second-order. The type of adsorption isotherm is more dominant following the Langmuir isotherm. Nickel metal adsorption capacity in electroplating waste is 0.2777 mg/g.
The synergism of andisol soil and foundry sand mixture as Cu(II) ion adsorbent
Authors: Pranoto  , Masykur A , Prihanandya R S P 
Published: August 2023

Abstract
The aims of this study were to determine Cu(II) metal ion adsorption ability by using andisol soil and foundry sand as an adsorbent. Andisol soil and foundry sand were activated with 3 M NaOH. Adsorption of copper (II) metal ion performed on the composition of andisol soil and foundry sand 100:0, 75:25, 50:50, 25:75, and 0:100 (wt%), pH solution variation pH 3-7, and contact time 15-135 minutes with batch system. The final concentration at the time of equilibrium was measured using Atomic Absorption Spectrometry (AAS). Characterizations of the adsorbent was conducted by Fourier Transform-Infrared Analyzer (FT-IR), Scanning Electron Microscope-Energy Dispersive X-Ray (SEM-EDX), and Surface Area Analyzer (SAA). The optimum condition for Cu(II) ion adsorption was obtained at the composition of the mixture andisol soil and foundry sand 75:25 (wt%) at pH 6 and contact time of 90 minutes with an adsorption capacity of 3.839 mg/g and adsorption percentage 94.55%. The adsorption isotherm followed the Langmuir isotherm model and the adsorption kinetics are pseudo-second-order.
Synthesis and Microstructure Characterization of Fe-Cr-Al Alloys Developed by Powder Metallurgy Technique with Plasma Sintering Method
Authors: Bandriyana B , Sujatno A , Salam R , Haerani D N , Sugeng B , Shabrina N , Sukaryo S G 
Published: August 2023

Abstract
Synthesis of Fe-Cr-Al alloy by powder metallurgy method was developed to produce a bioimplant material with a low modulus of elasticity. Microstructure characterization and phase identification were carried out to support the development of bone implant material research. The alloys were synthesized with the elemental composition of 16 Cr (wt%) that was added with Al in variations of 3, 6, and 10 (wt%). The synthesis was carried out by an exceptional combination of mixing and mechanical milling, cold compacting and consolidating with a special method using the APS (Arc Plasma Sintering) apparatus. Microstructure characterization and phase identification were analyzed by SEM-EDS and XRD tests. The microstructure showed relatively homogeneous fine grain with small porosity of around 80 %. Refinement of the XRD peak pattern revealed the formation of the Fe-Cr main phase followed by the Fe-Al phase with Al as the solid solution. The hardness test showed a high hardness level with a maximum for Fe-16Cr-6Al (wt%) of around 160 VHN (Vickers Hardness Number). The quantity of Fe-Cr phase and the composition of Al influenced the hardness of the alloy.
Synthesis and Ti-N Sputtering of Zr-Nb Alloys for Dental Implant Material
Authors: Sukaryo S G , Bandriyana B , Shabrina N , Suprapto  , Abbas B , Ulum M F , Suridwan W , Prasetyo T H 
Published: August 2023

Abstract
Synthesis and sputtering of the Zr-2.5Nb alloys were performed for the dental implant material candidate. The alloy was synthesized by casting process in an arc melting furnace with an argon atmosphere in the composition of Zr-2.5 Nb (wt %). Surface treatment was carried out by Ti-N sputtering process with the current of 20 Ampere for 45 minutes. Characterization of the microstructure was performed by the SEM-EDX test followed by the phase identification using the XRD analysis. The hardness was measured in the Vickers Hardness Number method to evaluate the relation of the microstructure to the mechanical property before and after the sputtering process. A homogeneous structure with relatively fine grain was found in the synthesis of Zr-2.5Nb alloy. The layer thickness of Ti-N was formed with the mean thickness of 0.5 micrometers. Increasing of hardness was observed in the surface of the alloy that predicted improving the compatibility for dental implant material.
Changes in lung epithelial cell volatile metabolite profile induced by pro-fibrotic stimulation with TGF-β1
Authors: Hayton Conal , Ahmed Waqar , Cunningham Peter , Piper-Hanley Karen , Pearmain Laurence , Chaudhuri Nazia , Leonard Colm , Blaikley John F , Fowler Stephen J 
Published: August 2023

Abstract
Volatile organic compounds (VOCs) have shown promise as potential biomarkers in idiopathic pulmonary fibrosis. Measuring VOCs in the headspace of in vitro models of lung fibrosis may offer a method of determining the origin of those detected in exhaled breath. The aim of this study was to determine the VOCs associated with two lung cell lines (A549 and MRC-5 cells) and changes associated with stimulation of cells with the pro-fibrotic cytokine, transforming growth factor (TGF)-β1. A dynamic headspace sampling method was used to sample the headspace of A549 cells and MRC-5 cells. These were compared to media control samples and to each other to identify VOCs which discriminated between cell lines. Cells were then stimulated with the TGF-β1 and samples were compared between stimulated and unstimulated cells. Samples were analysed using thermal desorption-gas chromatography-mass spectrometry and supervised analysis was performed using sparse partial least squares-discriminant analysis (sPLS-DA). Supervised analysis revealed differential VOC profiles unique to each of the cell lines and from the media control samples. Significant changes in VOC profiles were induced by stimulation of cell lines with TGF-β1. In particular, several terpenoids (isopinocarveol, sativene and 3-carene) were increased in stimulated cells compared to unstimulated cells. VOC profiles differ between lung cell lines and alter in response to pro-fibrotic stimulation. Increased abundance of terpenoids in the headspace of stimulated cells may reflect TGF-β1 cell signalling activity and metabolic reprogramming. This may offer a potential biomarker target in exhaled breath in IPF.
Using of Modern Genetic Methods to Detect Air-Borne Bacterial Genes Through Desert Storms in Iraq
Authors: Nimr Hasan Khadim , Sultan Maitham A. , Nimr Njah K. 
Published: August 2023

Abstract
Antibiotic resistance of pathogens is a serious issue that affects health. The airborne particle molecules such as (PM2.5, PM10) that spread by dust storms can increase the antibiotic resistance in bacterial community. In this study air samples of the dust storms were collected and the air-borne bacteria were cultured on specific growth media by portable air sampler device (SAS). Sixty plates were used through the atmospheric storms dust which included three periods of 24/5/2022,13/6/2022 and 3/7/2022. Antibiotic resistance of bacterial isolates was detected by VITEK2. Bacterial whole DNA was extracted and the genes against the most resisted antibiotics were detected by specific pre-designed primers and by using gel electrophoresis method. The results showed homogenous high concentrations of both PM2.5 and PM10 were included in storm samples just like that in Saudi Arabia. The greatest numbers of bacterial growth in collecting plates through the storm included 45 of 60 (75%) E. coli, 36 of 60 (60%) of Staphylococcus epidermis and 15 of 60 (25%) of Sphingomonas paucimobilis isolates of total bacterial growth as diagnosed by morphological characteristics and VITEK2 system. The antibiotic sensitivity test (AST) which was done by VITIK2 showed multidrug resistant for Staphylococcus epidermis, E. coli and Sphingomonas paucimobilis strains, mainly against erythromycin and tertacycline. The results of genetic studies for the antibiotic resistance illustrated the presence of gene fragments of both ermA gene and tetK gene within the bacterial nucleic acid, which are considered as potent antibiotic resistance genes (ARGs genes). In conclusion, the resistance of air-borne bacteria towards used antibiotics were elevated strongly in relation with the expression of ARGs associated with the huge amounts of PM particles in dust storms that occurred in Iraq, which is very harmful for human and other living forms on earth.
Multifunctional, flexible, and mechanically robust polyimide-MXene nanocomposites: a review
Authors: Altan Aysun , Namvari Mina 
Published: August 2023

Abstract
Multifunctional flexible polymer composites have proliferated in different industries. MXenes, as the rising star of 2D materials, offer unique combinations of properties including metallic conductivity, hydrophilicity, high specific capacitance, and solution processability, as well as mechanical flexibility and robustness that accentuate them for the fabrication of multifunctional composites. 2D flake structure and abundant surface terminations of MXene facilitate its integration into polymer matrices to develop high-performance composites. Polyimides (PIs) are high-temperature engineering polymers that have rendered their way into aerospace and electronics industries due to their outstanding mechanical strength, high chemical resistance, high thermal stability, excellent electrical and thermal insulation properties. Amalgamating the outstanding characteristics of these two materials, this paper is the first review to summarize advancements in PI/MXene nanocomposites to address the methods of preparation and the effect of MXene loading on the target application e.g. energy conversion and storage, electromagnetic interference shielding, sensing, and fire-retardancy. The review commences with a critical discussion on PI/MXene nanocomposite fabrication methods. Next, a comprehensive review of the properties and applications of PI/MXene nanocomposites is provided. Lastly, based on the current developments of PI/MXene nanocomposites, this paper is concluded with the prominent characteristics of PI/MXene composites regarding the target application and identifying the gaps and challenges to develop multifunctional composites.
Understanding adsorption of divalent metals ions (Mg, Ca) on Nitrogen-, Boron- doped, and defective graphene in nanofiltration process using van der Waals density functional method
Authors: Tan Thi Pham , Vuong Vinh-Dat , Van Le Thang , Phong Mai Thanh , Thanh Pham Ngoc 
Published: August 2023

Abstract
Removal of divalent metal ions (Mg and Ca) by graphene membrane has a great implication for manufacturing chitin and chitosan in filtration process. Despite its importance, influences of the doping and vacancy in graphene on the adsorption of those metal ions remain unclear. Here, we study the adsorption of those metal ions on several graphene surfaces, namely pristine graphene (Gra), graphitic N- and B- doped graphene (N- and B-Gra), monovacancy graphene (MV-Gra), monovacancy graphene functionalized by an epoxy (O-MV-Gra), and monovacancy graphene functionalized by an hydroxyl group (OH-MV-Gra) by van der Waals density functional (vdW-DF) method. It was found all considered graphene surfaces have strong interactions with Ca, whereas Mg only chemisorbs on MV-Gra and B-Gra. Energetically, comparing with Ca adosprtion on pristine graphene, both B doping and vacancy creation strengthen the Ca adsorption, while N doping slight decreases it. The electronic structure analysis uncovers enhancement of the Cagraphene interaction by B doping and vacancy formation. Because of the results that have been observed, the removal of Ca ions from aqueous solution can be enhanced by the creation of nanopore or B doping in graphene, in which Ca atom are strongly captured by graphene.
Solution-processed multi-resonance emitters for ultimate displays
Authors: Ji Sichao , Xie Guohua , Xue Qin 
Published: August 2023

Abstract
Multi-resonance (MR) materials have attracted considerable attention owing to their ability to achieve high color purity emissions with the small full-width at half-maxima (FWHMs) in organic light-emitting diodes (OLEDs), which is crucial for wide color-gamut displays. Nowadays, MR emitters covering almost full color have been developed and applied to construct high-performance narrowband OLEDs. From the commercial perspective of device fabrication, compared with the vacuum-deposition technique, solution processes provide the more economical approaches for the production of low-cost and large-area OLED display panels. Since the device performances of solution-processed MR-OLEDs still lag behind those of vacuum-deposited devices, developing MR emitters featuring intrinsically narrow FWHMs, fast reverse intersystem crossing rate, and good solubility are urgently needed in future cost-effective ultrahigh-definition displays. In this focus review, we summarize the recent advances in solution-processable MR-type emitters, especially for the thermally activated delayed fluorescence molecules. Molecular design, photophysical properties, and solution-processed device performances are correlated. Additionally, the challenges in solution-processed MR-OLEDs and the promising applications of efficient solution-processable MR emitters are also envisaged.
DIM: long-tailed object detection and instance segmentation via dynamic instance memory
Authors: Chen Zhao-Min , Jin Xin , Zhang Xiaoqin , Xia Chaoqun , Pan Zhiyong , Deng Ruoxi , Hu Jie , Chen Heng 
Published: August 2023

Abstract
Object detection and instance segmentation have been successful on benchmarks with relatively balanced category distribution (e.g. MSCOCO). However, state-of-the-art object detection and segmentation methods still struggle to generalize on long-tailed datasets (e.g. LVIS), where a few classes (head classes) dominate the instance samples, while most classes (tailed classes) have only a few samples. To address this challenge, we propose a plug-and-play module within the Mask R-CNN framework called dynamic instance memory (DIM). Specifically, we augment Mask R-CNN with an auxiliary branch for training. It maintains a dynamic memory bank storing an instance-level prototype representation for each category, and shares the classifier with the existing instance branch. With a simple metric loss, the representations in DIM can be dynamically updated by the instance proposals in the mini-batch during training. Our DIM introduces a bias toward tailed classes to the classifier learning along with a class frequency reversed sampler, which learns generalizable representations from the original data distribution, complementing the existing instance branch. Comprehensive experiments on LVIS demonstrate the effectiveness of DIM, as well as the significant advantages of DIM over the baseline Mask R-CNN.
Matching algorithms to assist in designing with reclaimed building elements
Authors: Tomczak A , Haakonsen S M , Łuczkowski M 
Published: August 2023

Abstract
Reuse of building components is one of the recommended circular strategies to reduce the environmental impact of new buildings. However, reclaimed building components are more difficult to design with than new products. While new products can be made to match exact needs, the salvaged components have predefined dimensions and quality limitations. Following the Design Science Research methodology, we attempt to answer how the reuse design can be aided by a digital design tool. The developed matching algorithms suggest the optimal assignment of available elements for the desired configuration, considering user-defined constraints and optimisation criteria. In the test cases, we seek to optimise the global warming potential of timber framing elements, defined by life cycle assessment, though the tool is not limited to this objective. The implementation includes greedy algorithms, bipartite graphs, and mixed integer linear programming. The usefulness of the proposed solution is evaluated on simulated sets of building elements in terms of embodied emission reduction and speed of the calculation. The paper contributes with methodologies, algorithms, and test cases to assess their performance. Practitioners can apply the proposed solution to reduce the time of designing with salvaged materials, which can lead to the popularisation of the circular design.
Pyrroloquinoline Quinone (PQQ) Improves Long-term Survival of Fat Grafts by Alleviating Oxidative Stress and Promoting Angiogenesis During the Early Phase After Transplantation
Authors: Zhang Xiaoyu , Gu Tianyi , Liu Yue , Liu Cong , Lin Yan , Li Haoran , Zhang Tongtong , Wang Qian , Mu Dali 
Published: August 2023

Abstract

Background
Reducing absorption after autologous fat grafting is a current challenge. Pyrroloquinoline quinone (PQQ) is the strongest known catalyst of redox reactions, which can scavenge reactive oxygen species (ROS) and alleviate oxidative stress.

Objectives
The aim of this study was to establish an in vivo model of PQQ-assisted lipotransfer and clarify the role of PQQ in reducing oxidative stress, alleviating apoptosis, and promoting angiogenesis during the acute hypoxic phase after grafting. In addition the study was performed to assess whether this intervention would have a positive effect on the improvement of long-term volume retention.

Methods
Different concentrations of PQQ (low: 10 μM, medium: 100 μM, and high: 1000 μM) were mixed with human adipose tissue and transplanted subcutaneously into nude mice. Meanwhile, a control group of phosphate-buffered saline in an equal volume to PQQ was set up. On the third day after grafting, whole mount fluorescence staining was applied to detect ROS, mitochondrial membrane potential (MMP), apoptosis, adipocyte activity, and angiogenesis. Graft volume retention rate and electron microscopic morphology were evaluated at the third month. Immunohistochemistry and polymerase chain reaction (PCR) were further employed to elucidate the mechanism of action of PQQ.

Results
PQQ-assisted fat grafting improved the long-term volume retention, promoted the quality and viability of the adipose tissue, and reduced the level of fibrosis. The underlying mechanism of PQQ assisted in scavenging the accumulated ROS, restoring MMP, enhancing adipocyte viability, alleviating tissue apoptosis, and promoting timely angiogenesis during the hypoxia stress phase. The most effective concentration of PQQ was 100 μM. Immunohistochemistry and PCR experiments confirmed that PQQ reduced the expression of Bax and cytochrome c in the mitochondrial apoptotic pathway and increased the level of the antiapoptotic molecule Bcl-2.

Conclusions
PQQ could improve the long-term survival of adipocytes by alleviating hypoxic stress and promoting timely angiogenesis in the early phase following lipotransfer.

Level of Evidence: 4
OntoloViz: a GUI for interactive visualization of ranked disease or drug lists using the MeSH and ATC ontologies
Authors: Ley Matthias , Heinzel Andreas , Fillinger Lucas , Kratochwill Klaus , Perco Paul 
Published: August 2023

Abstract

Motivation
Structured vocabularies for drugs and diseases represent, besides their primary use for annotating scientific literature or scientific information in general, a valuable resource for visualizing aggregated information. The Medical Subject Headings (MeSH) and Anatomical Therapeutic Chemical (ATC) ontologies are widely used structured vocabularies for diseases and drugs, respectively. Their hierarchical tree-like structure can be used as a basis for creating intuitive visual displays for specific diseases and drugs within their higher-order classifications. Such displays are helpful means to contextualize diseases and drugs in various settings such as in drug repositioning. However, there are few tools that can harness the potential of these structured ontologies to create informative visual representations without extensive programming and data processing skills.

Results
We have developed OntoloViz, a Graphical User Interface (GUI) for visualizing annotated lists of drugs or diseases in the context of their MeSH or ATC ontologies in an intuitively interpretable sunburst layout. Minimum input is a list of disease or drug names. Users in addition have the option to specify numerical parameters for the input lists to enhance the visualization, e.g. to visualize term frequencies. The GUI allows values to be propagated upwards in the respective ontology tree structure thus facilitating exploration of gene and drug lists. We present two use cases for OntoloViz, namely (i) a graphical representation of clinically tested drugs for coronavirus disease (COVID-19) based on ATC Classification and (ii) a graphical representation of literature annotation of human diseases on the MeSH ontology.

Availability and implementation
The OntoloViz package can be retrieved from PyPi. The source code along with test data, template, and documentations are available at GitHub (https://github.com/Delta4AI/OntoloViz).